diff --git a/.deepsource.toml b/.deepsource.toml
new file mode 100644
index 000000000000..c68a25b03206
--- /dev/null
+++ b/.deepsource.toml
@@ -0,0 +1,18 @@
+version = 1
+
+test_patterns = ["**/*.spec.ts","**/*_test.py","**/*_tests.py","**/test_*.py"]
+
+exclude_patterns = ["classic/**"]
+
+[[analyzers]]
+name = "javascript"
+
+[analyzers.meta]
+plugins = ["react"]
+environment = ["nodejs"]
+
+[[analyzers]]
+name = "python"
+
+[analyzers.meta]
+runtime_version = "3.x.x"
diff --git a/.dockerignore b/.dockerignore
index 0cf6b446c3b7..94bf1742f1c4 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -1,40 +1,65 @@
 # Ignore everything by default, selectively add things to context
-classic/run
+*
 
-# AutoGPT
+# Platform - Libs
+!autogpt_platform/autogpt_libs/autogpt_libs/
+!autogpt_platform/autogpt_libs/pyproject.toml
+!autogpt_platform/autogpt_libs/poetry.lock
+!autogpt_platform/autogpt_libs/README.md
+
+# Platform - Backend
+!autogpt_platform/backend/backend/
+!autogpt_platform/backend/test/e2e_test_data.py
+!autogpt_platform/backend/migrations/
+!autogpt_platform/backend/schema.prisma
+!autogpt_platform/backend/pyproject.toml
+!autogpt_platform/backend/poetry.lock
+!autogpt_platform/backend/README.md
+!autogpt_platform/backend/.env
+
+# Platform - Market
+!autogpt_platform/market/market/
+!autogpt_platform/market/scripts.py
+!autogpt_platform/market/schema.prisma
+!autogpt_platform/market/pyproject.toml
+!autogpt_platform/market/poetry.lock
+!autogpt_platform/market/README.md
+
+# Platform - Frontend
+!autogpt_platform/frontend/src/
+!autogpt_platform/frontend/public/
+!autogpt_platform/frontend/scripts/
+!autogpt_platform/frontend/package.json
+!autogpt_platform/frontend/pnpm-lock.yaml
+!autogpt_platform/frontend/tsconfig.json
+!autogpt_platform/frontend/README.md
+## config
+!autogpt_platform/frontend/*.config.*
+!autogpt_platform/frontend/.env.*
+!autogpt_platform/frontend/.env
+
+# Classic - AutoGPT
 !classic/original_autogpt/autogpt/
 !classic/original_autogpt/pyproject.toml
 !classic/original_autogpt/poetry.lock
 !classic/original_autogpt/README.md
 !classic/original_autogpt/tests/
 
-# Benchmark
+# Classic - Benchmark
 !classic/benchmark/agbenchmark/
 !classic/benchmark/pyproject.toml
 !classic/benchmark/poetry.lock
 !classic/benchmark/README.md
 
-# Forge
+# Classic - Forge
 !classic/forge/
 !classic/forge/pyproject.toml
 !classic/forge/poetry.lock
 !classic/forge/README.md
 
-# Frontend
+# Classic - Frontend
 !classic/frontend/build/web/
 
-# Platform
-!autogpt_platform/
-
 # Explicitly re-ignore some folders
 .*
 **/__pycache__
-
-autogpt_platform/frontend/.next/
-autogpt_platform/frontend/node_modules
-autogpt_platform/frontend/.env.example
-autogpt_platform/frontend/.env.local
-autogpt_platform/backend/.env
-autogpt_platform/backend/.venv/
-
-autogpt_platform/market/.env
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
index 9b348b557da0..2e37f67766ae 100644
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -24,7 +24,8 @@
 </details>
 
 #### For configuration changes:
-- [ ] `.env.example` is updated or already compatible with my changes
+
+- [ ] `.env.default` is updated or already compatible with my changes
 - [ ] `docker-compose.yml` is updated or already compatible with my changes
 - [ ] I have included a list of my configuration changes in the PR description (under **Changes**)
 
diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
new file mode 100644
index 000000000000..a0834a691321
--- /dev/null
+++ b/.github/copilot-instructions.md
@@ -0,0 +1,244 @@
+# GitHub Copilot Instructions for AutoGPT
+
+This file provides comprehensive onboarding information for GitHub Copilot coding agent to work efficiently with the AutoGPT repository.
+
+## Repository Overview
+
+**AutoGPT** is a powerful platform for creating, deploying, and managing continuous AI agents that automate complex workflows. This is a large monorepo (~150MB) containing multiple components:
+
+- **AutoGPT Platform** (`autogpt_platform/`) - Main focus: Modern AI agent platform (Polyform Shield License)
+- **Classic AutoGPT** (`classic/`) - Legacy agent system (MIT License)
+- **Documentation** (`docs/`) - MkDocs-based documentation site
+- **Infrastructure** - Docker configurations, CI/CD, and development tools
+
+**Primary Languages & Frameworks:**
+- **Backend**: Python 3.10-3.13, FastAPI, Prisma ORM, PostgreSQL, RabbitMQ
+- **Frontend**: TypeScript, Next.js 15, React, Tailwind CSS, Radix UI
+- **Development**: Docker, Poetry, pnpm, Playwright, Storybook
+
+## Build and Validation Instructions
+
+### Essential Setup Commands
+
+**Always run these commands in the correct directory and in this order:**
+
+1. **Initial Setup** (required once):
+   ```bash
+   # Clone and enter repository
+   git clone <repo> && cd AutoGPT
+   
+   # Start all services (database, redis, rabbitmq, clamav)
+   cd autogpt_platform && docker compose --profile local up deps --build --detach
+   ```
+
+2. **Backend Setup** (always run before backend development):
+   ```bash
+   cd autogpt_platform/backend
+   poetry install                    # Install dependencies
+   poetry run prisma migrate dev     # Run database migrations
+   poetry run prisma generate        # Generate Prisma client
+   ```
+
+3. **Frontend Setup** (always run before frontend development):
+   ```bash
+   cd autogpt_platform/frontend
+   pnpm install                      # Install dependencies
+   ```
+
+### Runtime Requirements
+
+**Critical:** Always ensure Docker services are running before starting development:
+```bash
+cd autogpt_platform && docker compose --profile local up deps --build --detach
+```
+
+**Python Version:** Use Python 3.11 (required; managed by Poetry via pyproject.toml)
+**Node.js Version:** Use Node.js 21+ with pnpm package manager
+
+### Development Commands
+
+**Backend Development:**
+```bash
+cd autogpt_platform/backend
+poetry run serve                     # Start development server (port 8000)
+poetry run test                      # Run all tests (requires ~5 minutes)
+poetry run pytest path/to/test.py    # Run specific test
+poetry run format                    # Format code (Black + isort) - always run first
+poetry run lint                      # Lint code (ruff) - run after format
+```
+
+**Frontend Development:**
+```bash
+cd autogpt_platform/frontend
+pnpm dev                            # Start development server (port 3000) - use for active development
+pnpm build                          # Build for production (only needed for E2E tests or deployment)
+pnpm test                           # Run Playwright E2E tests (requires build first)
+pnpm test-ui                        # Run tests with UI
+pnpm format                         # Format and lint code
+pnpm storybook                      # Start component development server
+```
+
+### Testing Strategy
+
+**Backend Tests:**
+- **Block Tests**: `poetry run pytest backend/blocks/test/test_block.py -xvs` (validates all blocks)
+- **Specific Block**: `poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[BlockName]' -xvs`
+- **Snapshot Tests**: Use `--snapshot-update` when output changes, always review with `git diff`
+
+**Frontend Tests:**
+- **E2E Tests**: Always run `pnpm dev` before `pnpm test` (Playwright requires running instance)
+- **Component Tests**: Use Storybook for isolated component development
+
+### Critical Validation Steps
+
+**Before committing changes:**
+1. Run `poetry run format` (backend) and `pnpm format` (frontend)
+2. Ensure all tests pass in modified areas
+3. Verify Docker services are still running
+4. Check that database migrations apply cleanly
+
+**Common Issues & Workarounds:**
+- **Prisma issues**: Run `poetry run prisma generate` after schema changes
+- **Permission errors**: Ensure Docker has proper permissions
+- **Port conflicts**: Check the `docker-compose.yml` file for the current list of exposed ports. You can list all mapped ports with:
+- **Test timeouts**: Backend tests can take 5+ minutes, use `-x` flag to stop on first failure
+
+## Project Layout & Architecture
+
+### Core Architecture
+
+**AutoGPT Platform** (`autogpt_platform/`):
+- `backend/` - FastAPI server with async support
+  - `backend/backend/` - Core API logic
+  - `backend/blocks/` - Agent execution blocks
+  - `backend/data/` - Database models and schemas
+  - `schema.prisma` - Database schema definition
+- `frontend/` - Next.js application
+  - `src/app/` - App Router pages and layouts
+  - `src/components/` - Reusable React components
+  - `src/lib/` - Utilities and configurations
+- `autogpt_libs/` - Shared Python utilities
+- `docker-compose.yml` - Development stack orchestration
+
+**Key Configuration Files:**
+- `pyproject.toml` - Python dependencies and tooling
+- `package.json` - Node.js dependencies and scripts
+- `schema.prisma` - Database schema and migrations
+- `next.config.mjs` - Next.js configuration
+- `tailwind.config.ts` - Styling configuration
+
+### Security & Middleware
+
+**Cache Protection**: Backend includes middleware preventing sensitive data caching in browsers/proxies
+**Authentication**: JWT-based with Supabase integration
+**User ID Validation**: All data access requires user ID checks - verify this for any `data/*.py` changes
+
+### Development Workflow
+
+**GitHub Actions**: Multiple CI/CD workflows in `.github/workflows/`
+- `platform-backend-ci.yml` - Backend testing and validation
+- `platform-frontend-ci.yml` - Frontend testing and validation
+- `platform-fullstack-ci.yml` - End-to-end integration tests
+
+**Pre-commit Hooks**: Run linting and formatting checks
+**Conventional Commits**: Use format `type(scope): description` (e.g., `feat(backend): add API`)
+
+### Key Source Files
+
+**Backend Entry Points:**
+- `backend/backend/server/server.py` - FastAPI application setup
+- `backend/backend/data/` - Database models and user management
+- `backend/blocks/` - Agent execution blocks and logic
+
+**Frontend Entry Points:**
+- `frontend/src/app/layout.tsx` - Root application layout
+- `frontend/src/app/page.tsx` - Home page
+- `frontend/src/lib/supabase/` - Authentication and database client
+
+**Protected Routes**: Update `frontend/lib/supabase/middleware.ts` when adding protected routes
+
+### Agent Block System
+
+Agents are built using a visual block-based system where each block performs a single action. Blocks are defined in `backend/blocks/` and must include:
+- Block definition with input/output schemas
+- Execution logic with proper error handling
+- Tests validating functionality
+
+### Database & ORM
+
+**Prisma ORM** with PostgreSQL backend including pgvector for embeddings:
+- Schema in `schema.prisma`
+- Migrations in `backend/migrations/`
+- Always run `prisma migrate dev` and `prisma generate` after schema changes
+
+## Environment Configuration
+
+### Configuration Files Priority Order
+1. **Backend**: `/backend/.env.default` → `/backend/.env` (user overrides)
+2. **Frontend**: `/frontend/.env.default` → `/frontend/.env` (user overrides)  
+3. **Platform**: `/.env.default` (Supabase/shared) → `/.env` (user overrides)
+4. Docker Compose `environment:` sections override file-based config
+5. Shell environment variables have highest precedence
+
+### Docker Environment Setup
+- All services use hardcoded defaults (no `${VARIABLE}` substitutions)
+- The `env_file` directive loads variables INTO containers at runtime
+- Backend/Frontend services use YAML anchors for consistent configuration
+- Copy `.env.default` files to `.env` for local development customization
+
+## Advanced Development Patterns
+
+### Adding New Blocks
+1. Create file in `/backend/backend/blocks/`
+2. Inherit from `Block` base class with input/output schemas
+3. Implement `run` method with proper error handling
+4. Generate block UUID using `uuid.uuid4()`
+5. Register in block registry
+6. Write tests alongside block implementation
+7. Consider how inputs/outputs connect with other blocks in graph editor
+
+### API Development
+1. Update routes in `/backend/backend/server/routers/`
+2. Add/update Pydantic models in same directory
+3. Write tests alongside route files
+4. For `data/*.py` changes, validate user ID checks
+5. Run `poetry run test` to verify changes
+
+### Frontend Development
+1. Components in `/frontend/src/components/`
+2. Use existing UI components from `/frontend/src/components/ui/`
+3. Add Storybook stories for component development
+4. Test user-facing features with Playwright E2E tests
+5. Update protected routes in middleware when needed
+
+### Security Guidelines
+**Cache Protection Middleware** (`/backend/backend/server/middleware/security.py`):
+- Default: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
+- Uses allow list approach for cacheable paths (static assets, health checks, public pages)
+- Prevents sensitive data caching in browsers/proxies
+- Add new cacheable endpoints to `CACHEABLE_PATHS`
+
+### CI/CD Alignment
+The repository has comprehensive CI workflows that test:
+- **Backend**: Python 3.11-3.13, services (Redis/RabbitMQ/ClamAV), Prisma migrations, Poetry lock validation
+- **Frontend**: Node.js 21, pnpm, Playwright with Docker Compose stack, API schema validation
+- **Integration**: Full-stack type checking and E2E testing
+
+Match these patterns when developing locally - the copilot setup environment mirrors these CI configurations.
+
+## Collaboration with Other AI Assistants
+
+This repository is actively developed with assistance from Claude (via CLAUDE.md files). When working on this codebase:
+- Check for existing CLAUDE.md files that provide additional context
+- Follow established patterns and conventions already in the codebase
+- Maintain consistency with existing code style and architecture
+- Consider that changes may be reviewed and extended by both human developers and AI assistants
+
+## Trust These Instructions
+
+These instructions are comprehensive and tested. Only perform additional searches if:
+1. Information here is incomplete for your specific task
+2. You encounter errors not covered by the workarounds
+3. You need to understand implementation details not covered above
+
+For detailed platform development patterns, refer to `autogpt_platform/CLAUDE.md` and `AGENTS.md` in the repository root.
\ No newline at end of file
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index 18191139f72e..b3ea5c483887 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -10,17 +10,19 @@ updates:
     commit-message:
       prefix: "chore(libs/deps)"
       prefix-development: "chore(libs/deps-dev)"
+    ignore:
+      - dependency-name: "poetry"
     groups:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
 
   # backend (Poetry project)
   - package-ecosystem: "pip"
@@ -32,17 +34,19 @@ updates:
     commit-message:
       prefix: "chore(backend/deps)"
       prefix-development: "chore(backend/deps-dev)"
+    ignore:
+      - dependency-name: "poetry"
     groups:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
 
   # frontend (Next.js project)
   - package-ecosystem: "npm"
@@ -58,13 +62,13 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
 
   # infra (Terraform)
   - package-ecosystem: "terraform"
@@ -81,36 +85,13 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
-
-  # market (Poetry project)
-  - package-ecosystem: "pip"
-    directory: "autogpt_platform/market"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 10
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(market/deps)"
-      prefix-development: "chore(market/deps-dev)"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-        - "minor"
-        - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-        - "minor"
-        - "patch"
-
+          - "minor"
+          - "patch"
 
   # GitHub Actions
   - package-ecosystem: "github-actions"
@@ -123,14 +104,13 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
-
+          - "minor"
+          - "patch"
 
   # Docker
   - package-ecosystem: "docker"
@@ -143,40 +123,16 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
-
-
-  # Submodules
-  - package-ecosystem: "gitsubmodule"
-    directory: "autogpt_platform/supabase"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 1
-    target-branch: "dev"
-    commit-message:
-      prefix: "chore(platform/deps)"
-      prefix-development: "chore(platform/deps-dev)"
-    groups:
-      production-dependencies:
-        dependency-type: "production"
-        update-types:
-        - "minor"
-        - "patch"
-      development-dependencies:
-        dependency-type: "development"
-        update-types:
-        - "minor"
-        - "patch"
-
+          - "minor"
+          - "patch"
 
   # Docs
-  - package-ecosystem: 'pip'
+  - package-ecosystem: "pip"
     directory: "docs/"
     schedule:
       interval: "weekly"
@@ -188,10 +144,10 @@ updates:
       production-dependencies:
         dependency-type: "production"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
       development-dependencies:
         dependency-type: "development"
         update-types:
-        - "minor"
-        - "patch"
+          - "minor"
+          - "patch"
diff --git a/.github/labeler.yml b/.github/labeler.yml
index 8d2346983805..6cd4e4f67e90 100644
--- a/.github/labeler.yml
+++ b/.github/labeler.yml
@@ -24,8 +24,9 @@ platform/frontend:
 
 platform/backend:
 - changed-files:
-  - any-glob-to-any-file: autogpt_platform/backend/**
-  - all-globs-to-all-files: '!autogpt_platform/backend/backend/blocks/**'
+  - all-globs-to-any-file:
+    - autogpt_platform/backend/**
+    - '!autogpt_platform/backend/backend/blocks/**'
 
 platform/blocks:
 - changed-files:
diff --git a/.github/workflows/classic-autogpt-ci.yml b/.github/workflows/classic-autogpt-ci.yml
index e549da8ae05d..1a1063942219 100644
--- a/.github/workflows/classic-autogpt-ci.yml
+++ b/.github/workflows/classic-autogpt-ci.yml
@@ -115,6 +115,7 @@ jobs:
           poetry run pytest -vv \
             --cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
             --numprocesses=logical --durations=10 \
+            --junitxml=junit.xml -o junit_family=legacy \
             tests/unit tests/integration
         env:
           CI: true
@@ -124,8 +125,14 @@ jobs:
           AWS_ACCESS_KEY_ID: minioadmin
           AWS_SECRET_ACCESS_KEY: minioadmin
 
+      - name: Upload test results to Codecov
+        if: ${{ !cancelled() }}  # Run even if tests fail
+        uses: codecov/test-results-action@v1
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: autogpt-agent,${{ runner.os }}
diff --git a/.github/workflows/classic-benchmark-ci.yml b/.github/workflows/classic-benchmark-ci.yml
index a239e7b29477..0807620df993 100644
--- a/.github/workflows/classic-benchmark-ci.yml
+++ b/.github/workflows/classic-benchmark-ci.yml
@@ -87,13 +87,20 @@ jobs:
           poetry run pytest -vv \
             --cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
             --durations=10 \
+            --junitxml=junit.xml -o junit_family=legacy \
             tests
         env:
           CI: true
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
 
+      - name: Upload test results to Codecov
+        if: ${{ !cancelled() }}  # Run even if tests fail
+        uses: codecov/test-results-action@v1
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: agbenchmark,${{ runner.os }}
diff --git a/.github/workflows/classic-forge-ci.yml b/.github/workflows/classic-forge-ci.yml
index 4642f57521f7..594c0fd07668 100644
--- a/.github/workflows/classic-forge-ci.yml
+++ b/.github/workflows/classic-forge-ci.yml
@@ -139,6 +139,7 @@ jobs:
           poetry run pytest -vv \
             --cov=forge --cov-branch --cov-report term-missing --cov-report xml \
             --durations=10 \
+            --junitxml=junit.xml -o junit_family=legacy \
             forge
         env:
           CI: true
@@ -148,8 +149,14 @@ jobs:
           AWS_ACCESS_KEY_ID: minioadmin
           AWS_SECRET_ACCESS_KEY: minioadmin
 
+      - name: Upload test results to Codecov
+        if: ${{ !cancelled() }}  # Run even if tests fail
+        uses: codecov/test-results-action@v1
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: forge,${{ runner.os }}
diff --git a/.github/workflows/claude.yml b/.github/workflows/claude.yml
new file mode 100644
index 000000000000..399044d8f723
--- /dev/null
+++ b/.github/workflows/claude.yml
@@ -0,0 +1,47 @@
+name: Claude Code
+
+on:
+  issue_comment:
+    types: [created]
+  pull_request_review_comment:
+    types: [created]
+  issues:
+    types: [opened, assigned]
+  pull_request_review:
+    types: [submitted]
+
+jobs:
+  claude:
+    if: |
+      (
+        (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
+        (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
+        (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
+        (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')))
+      ) && (
+        github.event.comment.author_association == 'OWNER' ||
+        github.event.comment.author_association == 'MEMBER' ||
+        github.event.comment.author_association == 'COLLABORATOR' ||
+        github.event.review.author_association == 'OWNER' ||
+        github.event.review.author_association == 'MEMBER' ||
+        github.event.review.author_association == 'COLLABORATOR' ||
+        github.event.issue.author_association == 'OWNER' ||
+        github.event.issue.author_association == 'MEMBER' ||
+        github.event.issue.author_association == 'COLLABORATOR'
+      )
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: read
+      issues: read
+      id-token: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+      - name: Run Claude Code
+        id: claude
+        uses: anthropics/claude-code-action@beta
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml
new file mode 100644
index 000000000000..7af1ec436523
--- /dev/null
+++ b/.github/workflows/copilot-setup-steps.yml
@@ -0,0 +1,302 @@
+name: "Copilot Setup Steps"
+
+# Automatically run the setup steps when they are changed to allow for easy validation, and
+# allow manual testing through the repository's "Actions" tab
+on:
+  workflow_dispatch:
+  push:
+    paths:
+      - .github/workflows/copilot-setup-steps.yml
+  pull_request:
+    paths:
+      - .github/workflows/copilot-setup-steps.yml
+
+jobs:
+  # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
+  copilot-setup-steps:
+    runs-on: ubuntu-latest
+    timeout-minutes: 45
+
+    # Set the permissions to the lowest permissions possible needed for your steps.
+    # Copilot will be given its own token for its operations.
+    permissions:
+      # If you want to clone the repository as part of your setup steps, for example to install dependencies, you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, Copilot will do this for you automatically after the steps complete.
+      contents: read
+
+    # You can define any steps you want, and they will run before the agent starts.
+    # If you do not check out your code, Copilot will do this for you.
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          submodules: true
+
+      # Backend Python/Poetry setup (mirrors platform-backend-ci.yml)
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"  # Use standard version matching CI
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.cache/pypoetry
+          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
+
+      - name: Install Poetry
+        run: |
+          # Extract Poetry version from backend/poetry.lock (matches CI)
+          cd autogpt_platform/backend
+          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
+          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
+          
+          # Install Poetry
+          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
+          
+          # Add Poetry to PATH
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Check poetry.lock
+        working-directory: autogpt_platform/backend
+        run: |
+          poetry lock
+          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
+            echo "Warning: poetry.lock not up to date, but continuing for setup"
+            git checkout poetry.lock  # Reset for clean setup
+          fi
+
+      - name: Install Python dependencies
+        working-directory: autogpt_platform/backend
+        run: poetry install
+
+      - name: Generate Prisma Client
+        working-directory: autogpt_platform/backend
+        run: poetry run prisma generate
+
+      # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Set pnpm store directory
+        run: |
+          pnpm config set store-dir ~/.pnpm-store
+          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
+
+      - name: Cache frontend dependencies
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install JavaScript dependencies
+        working-directory: autogpt_platform/frontend
+        run: pnpm install --frozen-lockfile
+
+      # Install Playwright browsers for frontend testing
+      # NOTE: Disabled to save ~1 minute of setup time. Re-enable if Copilot needs browser automation (e.g., for MCP)
+      # - name: Install Playwright browsers
+      #   working-directory: autogpt_platform/frontend
+      #   run: pnpm playwright install --with-deps chromium
+
+      # Docker setup for development environment
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Copy default environment files
+        working-directory: autogpt_platform
+        run: |
+          # Copy default environment files for development
+          cp .env.default .env
+          cp backend/.env.default backend/.env
+          cp frontend/.env.default frontend/.env
+
+      # Phase 1: Cache and load Docker images for faster setup
+      - name: Set up Docker image cache
+        id: docker-cache
+        uses: actions/cache@v4
+        with:
+          path: ~/docker-cache
+          # Use a versioned key for cache invalidation when image list changes
+          key: docker-images-v2-${{ runner.os }}-${{ hashFiles('.github/workflows/copilot-setup-steps.yml') }}
+          restore-keys: |
+            docker-images-v2-${{ runner.os }}-
+            docker-images-v1-${{ runner.os }}-
+
+      - name: Load or pull Docker images
+        working-directory: autogpt_platform
+        run: |
+          mkdir -p ~/docker-cache
+          
+          # Define image list for easy maintenance
+          IMAGES=(
+            "redis:latest"
+            "rabbitmq:management"
+            "clamav/clamav-debian:latest"
+            "busybox:latest"
+            "kong:2.8.1"
+            "supabase/gotrue:v2.170.0"
+            "supabase/postgres:15.8.1.049"
+            "supabase/postgres-meta:v0.86.1"
+            "supabase/studio:20250224-d10db0f"
+          )
+          
+          # Check if any cached tar files exist (more reliable than cache-hit)
+          if ls ~/docker-cache/*.tar 1> /dev/null 2>&1; then
+            echo "Docker cache found, loading images in parallel..."
+            for image in "${IMAGES[@]}"; do
+              # Convert image name to filename (replace : and / with -)
+              filename=$(echo "$image" | tr ':/' '--')
+              if [ -f ~/docker-cache/${filename}.tar ]; then
+                echo "Loading $image..."
+                docker load -i ~/docker-cache/${filename}.tar || echo "Warning: Failed to load $image from cache" &
+              fi
+            done
+            wait
+            echo "All cached images loaded"
+          else
+            echo "No Docker cache found, pulling images in parallel..."
+            # Pull all images in parallel
+            for image in "${IMAGES[@]}"; do
+              docker pull "$image" &
+            done
+            wait
+            
+            # Only save cache on main branches (not PRs) to avoid cache pollution
+            if [[ "${{ github.ref }}" == "refs/heads/master" ]] || [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
+              echo "Saving Docker images to cache in parallel..."
+              for image in "${IMAGES[@]}"; do
+                # Convert image name to filename (replace : and / with -)
+                filename=$(echo "$image" | tr ':/' '--')
+                echo "Saving $image..."
+                docker save -o ~/docker-cache/${filename}.tar "$image" || echo "Warning: Failed to save $image" &
+              done
+              wait
+              echo "Docker image cache saved"
+            else
+              echo "Skipping cache save for PR/feature branch"
+            fi
+          fi
+          
+          echo "Docker images ready for use"
+
+      # Phase 2: Build migrate service with GitHub Actions cache
+      - name: Build migrate Docker image with cache
+        working-directory: autogpt_platform
+        run: |
+          # Build the migrate image with buildx for GHA caching
+          docker buildx build \
+            --cache-from type=gha \
+            --cache-to type=gha,mode=max \
+            --target migrate \
+            --tag autogpt_platform-migrate:latest \
+            --load \
+            -f backend/Dockerfile \
+            ..
+
+      # Start services using pre-built images
+      - name: Start Docker services for development
+        working-directory: autogpt_platform
+        run: |
+          # Start essential services (migrate image already built with correct tag)
+          docker compose --profile local up deps --no-build --detach
+          echo "Waiting for services to be ready..."
+          
+          # Wait for database to be ready
+          echo "Checking database readiness..."
+          timeout 30 sh -c 'until docker compose exec -T db pg_isready -U postgres 2>/dev/null; do 
+            echo "  Waiting for database..."
+            sleep 2
+          done' && echo "✅ Database is ready" || echo "⚠️ Database ready check timeout after 30s, continuing..."
+          
+          # Check migrate service status
+          echo "Checking migration status..."
+          docker compose ps migrate || echo "  Migrate service not visible in ps output"
+          
+          # Wait for migrate service to complete
+          echo "Waiting for migrations to complete..."
+          timeout 30 bash -c '
+            ATTEMPTS=0
+            while [ $ATTEMPTS -lt 15 ]; do
+              ATTEMPTS=$((ATTEMPTS + 1))
+              
+              # Check using docker directly (more reliable than docker compose ps)
+              CONTAINER_STATUS=$(docker ps -a --filter "label=com.docker.compose.service=migrate" --format "{{.Status}}" | head -1)
+              
+              if [ -z "$CONTAINER_STATUS" ]; then
+                echo "  Attempt $ATTEMPTS: Migrate container not found yet..."
+              elif echo "$CONTAINER_STATUS" | grep -q "Exited (0)"; then
+                echo "✅ Migrations completed successfully"
+                docker compose logs migrate --tail=5 2>/dev/null || true
+                exit 0
+              elif echo "$CONTAINER_STATUS" | grep -q "Exited ([1-9]"; then
+                EXIT_CODE=$(echo "$CONTAINER_STATUS" | grep -oE "Exited \([0-9]+\)" | grep -oE "[0-9]+")
+                echo "❌ Migrations failed with exit code: $EXIT_CODE"
+                echo "Migration logs:"
+                docker compose logs migrate --tail=20 2>/dev/null || true
+                exit 1
+              elif echo "$CONTAINER_STATUS" | grep -q "Up"; then
+                echo "  Attempt $ATTEMPTS: Migrate container is running... ($CONTAINER_STATUS)"
+              else
+                echo "  Attempt $ATTEMPTS: Migrate container status: $CONTAINER_STATUS"
+              fi
+              
+              sleep 2
+            done
+            
+            echo "⚠️ Timeout: Could not determine migration status after 30 seconds"
+            echo "Final container check:"
+            docker ps -a --filter "label=com.docker.compose.service=migrate" || true
+            echo "Migration logs (if available):"
+            docker compose logs migrate --tail=10 2>/dev/null || echo "  No logs available"
+          ' || echo "⚠️ Migration check completed with warnings, continuing..."
+          
+          # Brief wait for other services to stabilize
+          echo "Waiting 5 seconds for other services to stabilize..."
+          sleep 5
+
+      # Verify installations and provide environment info
+      - name: Verify setup and show environment info
+        run: |
+          echo "=== Python Setup ==="
+          python --version
+          poetry --version
+          
+          echo "=== Node.js Setup ==="
+          node --version
+          pnpm --version
+          
+          echo "=== Additional Tools ==="
+          docker --version
+          docker compose version
+          gh --version || true
+          
+          echo "=== Services Status ==="
+          cd autogpt_platform
+          docker compose ps || true
+          
+          echo "=== Backend Dependencies ==="
+          cd backend
+          poetry show | head -10 || true
+          
+          echo "=== Frontend Dependencies ==="
+          cd ../frontend
+          pnpm list --depth=0 | head -10 || true
+          
+          echo "=== Environment Files ==="
+          ls -la ../.env* || true
+          ls -la .env* || true
+          ls -la ../backend/.env* || true
+          
+          echo "✅ AutoGPT Platform development environment setup complete!"
+          echo "🚀 Ready for development with Docker services running"
+          echo "📝 Backend server: poetry run serve (port 8000)"
+          echo "🌐 Frontend server: pnpm dev (port 3000)"
\ No newline at end of file
diff --git a/.github/workflows/platform-autgpt-deploy-prod.yml b/.github/workflows/platform-autgpt-deploy-prod.yml
index 1c0fdc387bed..d0a8210253a2 100644
--- a/.github/workflows/platform-autgpt-deploy-prod.yml
+++ b/.github/workflows/platform-autgpt-deploy-prod.yml
@@ -34,13 +34,8 @@ jobs:
           python -m prisma migrate deploy
         env:
           DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
+          DIRECT_URL: ${{ secrets.BACKEND_DATABASE_URL }}
 
-      - name: Run Market Migrations
-        working-directory: ./autogpt_platform/market
-        run: |
-          python -m prisma migrate deploy
-        env:
-          DATABASE_URL: ${{ secrets.MARKET_DATABASE_URL }}
           
   trigger:
     needs: migrate
diff --git a/.github/workflows/platform-autogpt-deploy-dev.yaml b/.github/workflows/platform-autogpt-deploy-dev.yaml
index 632a0e7aa6d4..44da8641ec17 100644
--- a/.github/workflows/platform-autogpt-deploy-dev.yaml
+++ b/.github/workflows/platform-autogpt-deploy-dev.yaml
@@ -36,13 +36,7 @@ jobs:
           python -m prisma migrate deploy
         env:
           DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
-
-      - name: Run Market Migrations
-        working-directory: ./autogpt_platform/market
-        run: |
-          python -m prisma migrate deploy
-        env:
-          DATABASE_URL: ${{ secrets.MARKET_DATABASE_URL }}
+          DIRECT_URL: ${{ secrets.BACKEND_DATABASE_URL }}
 
   trigger:
     needs: migrate
diff --git a/.github/workflows/platform-backend-ci.yml b/.github/workflows/platform-backend-ci.yml
index 9ea0f4f27991..98a99de43f4a 100644
--- a/.github/workflows/platform-backend-ci.yml
+++ b/.github/workflows/platform-backend-ci.yml
@@ -32,7 +32,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.11", "3.12", "3.13"]
     runs-on: ubuntu-latest
 
     services:
@@ -42,6 +42,31 @@ jobs:
           REDIS_PASSWORD: testpassword
         ports:
           - 6379:6379
+      rabbitmq:
+        image: rabbitmq:3.12-management
+        ports:
+          - 5672:5672
+          - 15672:15672
+        env:
+          RABBITMQ_DEFAULT_USER: ${{ env.RABBITMQ_DEFAULT_USER }}
+          RABBITMQ_DEFAULT_PASS: ${{ env.RABBITMQ_DEFAULT_PASS }}
+      clamav:
+        image: clamav/clamav-debian:latest
+        ports:
+          - 3310:3310
+        env:
+          CLAMAV_NO_FRESHCLAMD: false
+          CLAMD_CONF_StreamMaxLength: 50M
+          CLAMD_CONF_MaxFileSize: 100M
+          CLAMD_CONF_MaxScanSize: 100M
+          CLAMD_CONF_MaxThreads: 4
+          CLAMD_CONF_ReadTimeout: 300
+        options: >-
+          --health-cmd "clamdscan --version || exit 1"
+          --health-interval 30s
+          --health-timeout 10s
+          --health-retries 5
+          --health-start-period 180s
 
     steps:
       - name: Checkout repository
@@ -58,7 +83,7 @@ jobs:
       - name: Setup Supabase
         uses: supabase/setup-cli@v1
         with:
-          version: latest
+          version: 1.178.1
 
       - id: get_date
         name: Get date
@@ -72,18 +97,35 @@ jobs:
 
       - name: Install Poetry (Unix)
         run: |
-          curl -sSL https://install.python-poetry.org | python3 -
+          # Extract Poetry version from backend/poetry.lock
+          HEAD_POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
+          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
+
+          if [ -n "$BASE_REF" ]; then
+            BASE_BRANCH=${BASE_REF/refs\/heads\//}
+            BASE_POETRY_VERSION=$((git show "origin/$BASE_BRANCH":./poetry.lock; true) | python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry -)
+            echo "Found Poetry version ${BASE_POETRY_VERSION} in backend/poetry.lock on ${BASE_REF}"
+            POETRY_VERSION=$(printf '%s\n' "$HEAD_POETRY_VERSION" "$BASE_POETRY_VERSION" | sort -V | tail -n1)
+          else
+            POETRY_VERSION=$HEAD_POETRY_VERSION
+          fi
+          echo "Using Poetry version ${POETRY_VERSION}"
+
+          # Install Poetry
+          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$POETRY_VERSION python3 -
 
           if [ "${{ runner.os }}" = "macOS" ]; then
             PATH="$HOME/.local/bin:$PATH"
             echo "$HOME/.local/bin" >> $GITHUB_PATH
           fi
+        env:
+          BASE_REF: ${{ github.base_ref || github.event.merge_group.base_ref }}
 
       - name: Check poetry.lock
         run: |
-          poetry lock --no-update
+          poetry lock
 
-          if ! git diff --quiet poetry.lock; then
+          if ! git diff --quiet --ignore-matching-lines="^# " poetry.lock; then
             echo "Error: poetry.lock not up to date."
             echo
             git diff poetry.lock
@@ -106,10 +148,40 @@ jobs:
         # outputs:
         # DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
 
+      - name: Wait for ClamAV to be ready
+        run: |
+          echo "Waiting for ClamAV daemon to start..."
+          max_attempts=60
+          attempt=0
+          
+          until nc -z localhost 3310 || [ $attempt -eq $max_attempts ]; do
+            echo "ClamAV is unavailable - sleeping (attempt $((attempt+1))/$max_attempts)"
+            sleep 5
+            attempt=$((attempt+1))
+          done
+          
+          if [ $attempt -eq $max_attempts ]; then
+            echo "ClamAV failed to start after $((max_attempts*5)) seconds"
+            echo "Checking ClamAV service logs..."
+            docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
+            exit 1
+          fi
+          
+          echo "ClamAV is ready!"
+          
+          # Verify ClamAV is responsive
+          echo "Testing ClamAV connection..."
+          timeout 10 bash -c 'echo "PING" | nc localhost 3310' || {
+            echo "ClamAV is not responding to PING"
+            docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
+            exit 1
+          }
+
       - name: Run Database Migrations
         run: poetry run prisma migrate dev --name updates
         env:
           DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
+          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
 
       - id: lint
         name: Run Linter
@@ -118,20 +190,22 @@ jobs:
       - name: Run pytest with coverage
         run: |
           if [[ "${{ runner.debug }}" == "1" ]]; then
-            poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG test
+            poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG
           else
-            poetry run pytest -s -vv test
+            poetry run pytest -s -vv
           fi
         if: success() || (failure() && steps.lint.outcome == 'failure')
         env:
           LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
           DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
+          DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
           SUPABASE_URL: ${{ steps.supabase.outputs.API_URL }}
           SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
           SUPABASE_JWT_SECRET: ${{ steps.supabase.outputs.JWT_SECRET }}
-          REDIS_HOST: 'localhost'
-          REDIS_PORT: '6379'
-          REDIS_PASSWORD: 'testpassword'
+          REDIS_HOST: "localhost"
+          REDIS_PORT: "6379"
+          REDIS_PASSWORD: "testpassword"
+          ENCRYPTION_KEY: "dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=" # DO NOT USE IN PRODUCTION!!
 
     env:
       CI: true
@@ -139,6 +213,13 @@ jobs:
       RUN_ENV: local
       PORT: 8080
       OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+      # We know these are here, don't report this as a security vulnerability
+      # This is used as the default credential for the entire system's RabbitMQ instance
+      # If you want to replace this, you can do so by making our entire system generate
+      # new credentials for each local user and update the environment variables in
+      # the backend service, docker composes, and examples
+      RABBITMQ_DEFAULT_USER: "rabbitmq_user_default"
+      RABBITMQ_DEFAULT_PASS: "k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7"
 
       # - name: Upload coverage reports to Codecov
       #   uses: codecov/codecov-action@v4
diff --git a/.github/workflows/platform-dev-deploy-event-dispatcher.yml b/.github/workflows/platform-dev-deploy-event-dispatcher.yml
new file mode 100644
index 000000000000..d7915f64c695
--- /dev/null
+++ b/.github/workflows/platform-dev-deploy-event-dispatcher.yml
@@ -0,0 +1,198 @@
+name: AutoGPT Platform - Dev Deploy PR Event Dispatcher
+
+on:
+  pull_request:
+    types: [closed]
+  issue_comment:
+    types: [created]
+
+permissions:
+  issues: write
+  pull-requests: write
+
+jobs:
+  dispatch:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check comment permissions and deployment status
+        id: check_status
+        if: github.event_name == 'issue_comment' && github.event.issue.pull_request
+        uses: actions/github-script@v7
+        with:
+          script: |
+            const commentBody = context.payload.comment.body.trim();
+            const commentUser = context.payload.comment.user.login;
+            const prAuthor = context.payload.issue.user.login;
+            const authorAssociation = context.payload.comment.author_association;
+            
+            // Check permissions
+            const hasPermission = (
+              authorAssociation === 'OWNER' ||
+              authorAssociation === 'MEMBER' ||
+              authorAssociation === 'COLLABORATOR'
+            );
+            
+            core.setOutput('comment_body', commentBody);
+            core.setOutput('has_permission', hasPermission);
+            
+            if (!hasPermission && (commentBody === '!deploy' || commentBody === '!undeploy')) {
+              core.setOutput('permission_denied', 'true');
+              return;
+            }
+            
+            if (commentBody !== '!deploy' && commentBody !== '!undeploy') {
+              return;
+            }
+            
+            // Process deploy command
+            if (commentBody === '!deploy') {
+              core.setOutput('should_deploy', 'true');
+            }
+            // Process undeploy command
+            else if (commentBody === '!undeploy') {
+              core.setOutput('should_undeploy', 'true');
+            }
+
+      - name: Post permission denied comment
+        if: steps.check_status.outputs.permission_denied == 'true'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            await github.rest.issues.createComment({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              issue_number: context.issue.number,
+              body: `❌ **Permission denied**: Only the repository owners, members, or collaborators can use deployment commands.`
+            });
+
+      - name: Get PR details for deployment
+        id: pr_details
+        if: steps.check_status.outputs.should_deploy == 'true' || steps.check_status.outputs.should_undeploy == 'true'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            const pr = await github.rest.pulls.get({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              pull_number: context.issue.number
+            });
+            core.setOutput('pr_number', pr.data.number);
+            core.setOutput('pr_title', pr.data.title);
+            core.setOutput('pr_state', pr.data.state);
+          
+      - name: Dispatch Deploy Event
+        if: steps.check_status.outputs.should_deploy == 'true'
+        uses: peter-evans/repository-dispatch@v3
+        with:
+          token: ${{ secrets.DISPATCH_TOKEN }}
+          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
+          event-type: pr-event
+          client-payload: |
+            {
+              "action": "deploy",
+              "pr_number": "${{ steps.pr_details.outputs.pr_number }}",
+              "pr_title": "${{ steps.pr_details.outputs.pr_title }}",
+              "pr_state": "${{ steps.pr_details.outputs.pr_state }}",
+              "repo": "${{ github.repository }}"
+            }
+
+      - name: Post deploy success comment
+        if: steps.check_status.outputs.should_deploy == 'true'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            await github.rest.issues.createComment({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              issue_number: context.issue.number,
+              body: `🚀 **Deploying PR #${{ steps.pr_details.outputs.pr_number }}** to development environment...`
+            });
+
+      - name: Dispatch Undeploy Event (from comment)
+        if: steps.check_status.outputs.should_undeploy == 'true'
+        uses: peter-evans/repository-dispatch@v3
+        with:
+          token: ${{ secrets.DISPATCH_TOKEN }}
+          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
+          event-type: pr-event
+          client-payload: |
+            {
+              "action": "undeploy",
+              "pr_number": "${{ steps.pr_details.outputs.pr_number }}",
+              "pr_title": "${{ steps.pr_details.outputs.pr_title }}",
+              "pr_state": "${{ steps.pr_details.outputs.pr_state }}",
+              "repo": "${{ github.repository }}"
+            }
+
+      - name: Post undeploy success comment
+        if: steps.check_status.outputs.should_undeploy == 'true'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            await github.rest.issues.createComment({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              issue_number: context.issue.number,
+              body: `🗑️ **Undeploying PR #${{ steps.pr_details.outputs.pr_number }}** from development environment...`
+            });
+
+      - name: Check deployment status on PR close
+        id: check_pr_close
+        if: github.event_name == 'pull_request' && github.event.action == 'closed'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            const comments = await github.rest.issues.listComments({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              issue_number: context.issue.number
+            });
+            
+            let lastDeployIndex = -1;
+            let lastUndeployIndex = -1;
+            
+            comments.data.forEach((comment, index) => {
+              if (comment.body.trim() === '!deploy') {
+                lastDeployIndex = index;
+              } else if (comment.body.trim() === '!undeploy') {
+                lastUndeployIndex = index;
+              }
+            });
+            
+            // Should undeploy if there's a !deploy without a subsequent !undeploy
+            const shouldUndeploy = lastDeployIndex !== -1 && lastDeployIndex > lastUndeployIndex;
+            core.setOutput('should_undeploy', shouldUndeploy);
+            
+      - name: Dispatch Undeploy Event (PR closed with active deployment)
+        if: >-
+          github.event_name == 'pull_request' &&
+          github.event.action == 'closed' &&
+          steps.check_pr_close.outputs.should_undeploy == 'true'
+        uses: peter-evans/repository-dispatch@v3
+        with:
+          token: ${{ secrets.DISPATCH_TOKEN }}
+          repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
+          event-type: pr-event
+          client-payload: |
+            {
+              "action": "undeploy",
+              "pr_number": "${{ github.event.pull_request.number }}",
+              "pr_title": "${{ github.event.pull_request.title }}",
+              "pr_state": "${{ github.event.pull_request.state }}",
+              "repo": "${{ github.repository }}"
+            }
+
+      - name: Post PR close undeploy comment
+        if: >-
+          github.event_name == 'pull_request' &&
+          github.event.action == 'closed' &&
+          steps.check_pr_close.outputs.should_undeploy == 'true'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            await github.rest.issues.createComment({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              issue_number: context.issue.number,
+              body: `🧹 **Auto-undeploying**: PR closed with active deployment. Cleaning up development environment for PR #${{ github.event.pull_request.number }}.`
+            });
\ No newline at end of file
diff --git a/.github/workflows/platform-frontend-ci.yml b/.github/workflows/platform-frontend-ci.yml
index 29394392c4f2..e9d720a4fb99 100644
--- a/.github/workflows/platform-frontend-ci.yml
+++ b/.github/workflows/platform-frontend-ci.yml
@@ -18,31 +18,116 @@ defaults:
     working-directory: autogpt_platform/frontend
 
 jobs:
+  setup:
+    runs-on: ubuntu-latest
+    outputs:
+      cache-key: ${{ steps.cache-key.outputs.key }}
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Generate cache key
+        id: cache-key
+        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
+
+      - name: Cache dependencies
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ steps.cache-key.outputs.key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
   lint:
     runs-on: ubuntu-latest
+    needs: setup
 
     steps:
-      - uses: actions/checkout@v4
+      - name: Checkout repository
+        uses: actions/checkout@v4
 
       - name: Set up Node.js
         uses: actions/setup-node@v4
         with:
           node-version: "21"
 
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
       - name: Install dependencies
-        run: |
-          yarn install --frozen-lockfile
+        run: pnpm install --frozen-lockfile
 
       - name: Run lint
-        run: |
-          yarn lint
+        run: pnpm lint
 
-  test:
+  chromatic:
     runs-on: ubuntu-latest
+    needs: setup
+    # Only run on dev branch pushes or PRs targeting dev
+    if: github.ref == 'refs/heads/dev' || github.base_ref == 'dev'
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Run Chromatic
+        uses: chromaui/action@latest
+        with:
+          projectToken: chpt_9e7c1a76478c9c8
+          onlyChanged: true
+          workingDir: autogpt_platform/frontend
+          token: ${{ secrets.GITHUB_TOKEN }}
+          exitOnceUploaded: true
+
+  test:
+    runs-on: big-boi
+    needs: setup
     strategy:
       fail-fast: false
-      matrix:
-        browser: [chromium, webkit]
 
     steps:
       - name: Checkout repository
@@ -55,42 +140,96 @@ jobs:
         with:
           node-version: "21"
 
-      - name: Free Disk Space (Ubuntu)
-        uses: jlumbroso/free-disk-space@main
-        with:
-          large-packages: false  # slow
-          docker-images: false  # limited benefit
+      - name: Enable corepack
+        run: corepack enable
 
       - name: Copy default supabase .env
         run: |
-          cp ../supabase/docker/.env.example ../.env
+          cp ../.env.default ../.env
 
-      - name: Copy backend .env
-        run: |
-          cp ../backend/.env.example ../backend/.env
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Cache Docker layers
+        uses: actions/cache@v4
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-frontend-test-
 
       - name: Run docker compose
         run: |
           docker compose -f ../docker-compose.yml up -d
+        env:
+          DOCKER_BUILDKIT: 1
+          BUILDX_CACHE_FROM: type=local,src=/tmp/.buildx-cache
+          BUILDX_CACHE_TO: type=local,dest=/tmp/.buildx-cache-new,mode=max
 
-      - name: Install dependencies
+      - name: Move cache
         run: |
-          yarn install --frozen-lockfile
+          rm -rf /tmp/.buildx-cache
+          if [ -d "/tmp/.buildx-cache-new" ]; then
+            mv /tmp/.buildx-cache-new /tmp/.buildx-cache
+          fi
 
-      - name: Setup Builder .env
+      - name: Wait for services to be ready
         run: |
-          cp .env.example .env
+          echo "Waiting for rest_server to be ready..."
+          timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
+          echo "Waiting for database to be ready..."
+          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
 
-      - name: Install Browser '${{ matrix.browser }}'
-        run: yarn playwright install --with-deps ${{ matrix.browser }}
-
-      - name: Run tests
+      - name: Create E2E test data
         run: |
-          yarn test --project=${{ matrix.browser }}
+          echo "Creating E2E test data..."
+          # First try to run the script from inside the container
+          if docker compose -f ../docker-compose.yml exec -T rest_server test -f /app/autogpt_platform/backend/test/e2e_test_data.py; then
+            echo "✅ Found e2e_test_data.py in container, running it..."
+            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python backend/test/e2e_test_data.py" || {
+              echo "❌ E2E test data creation failed!"
+              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
+              exit 1
+            }
+          else
+            echo "⚠️ e2e_test_data.py not found in container, copying and running..."
+            # Copy the script into the container and run it
+            docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.yml ps -q rest_server):/tmp/e2e_test_data.py || {
+              echo "❌ Failed to copy script to container"
+              exit 1
+            }
+            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
+              echo "❌ E2E test data creation failed!"
+              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
+              exit 1
+            }
+          fi
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
 
-      - uses: actions/upload-artifact@v4
-        if: ${{ !cancelled() }}
+      - name: Install Browser 'chromium'
+        run: pnpm playwright install --with-deps chromium
+
+      - name: Run Playwright tests
+        run: pnpm test:no-build
+
+      - name: Upload Playwright artifacts
+        if: failure()
+        uses: actions/upload-artifact@v4
         with:
-          name: playwright-report-${{ matrix.browser }}
-          path: playwright-report/
-          retention-days: 30
+          name: playwright-report
+          path: playwright-report
+
+      - name: Print Final Docker Compose logs
+        if: always()
+        run: docker compose -f ../docker-compose.yml logs
diff --git a/.github/workflows/platform-fullstack-ci.yml b/.github/workflows/platform-fullstack-ci.yml
new file mode 100644
index 000000000000..d98a6598e0f9
--- /dev/null
+++ b/.github/workflows/platform-fullstack-ci.yml
@@ -0,0 +1,132 @@
+name: AutoGPT Platform - Frontend CI
+
+on:
+  push:
+    branches: [master, dev]
+    paths:
+      - ".github/workflows/platform-fullstack-ci.yml"
+      - "autogpt_platform/**"
+  pull_request:
+    paths:
+      - ".github/workflows/platform-fullstack-ci.yml"
+      - "autogpt_platform/**"
+  merge_group:
+
+defaults:
+  run:
+    shell: bash
+    working-directory: autogpt_platform/frontend
+
+jobs:
+  setup:
+    runs-on: ubuntu-latest
+    outputs:
+      cache-key: ${{ steps.cache-key.outputs.key }}
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Generate cache key
+        id: cache-key
+        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
+
+      - name: Cache dependencies
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ steps.cache-key.outputs.key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+  types:
+    runs-on: ubuntu-latest
+    needs: setup
+    strategy:
+      fail-fast: false
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          submodules: recursive
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "21"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Copy default supabase .env
+        run: |
+          cp ../.env.default ../.env
+
+      - name: Copy backend .env
+        run: |
+          cp ../backend/.env.default ../backend/.env
+
+      - name: Run docker compose
+        run: |
+          docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Setup .env
+        run: cp .env.default .env
+
+      - name: Wait for services to be ready
+        run: |
+          echo "Waiting for rest_server to be ready..."
+          timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
+          echo "Waiting for database to be ready..."
+          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
+
+      - name: Generate API queries
+        run: pnpm generate:api:force
+
+      - name: Check for API schema changes
+        run: |
+          if ! git diff --exit-code src/app/api/openapi.json; then
+            echo "❌ API schema changes detected in src/app/api/openapi.json"
+            echo ""
+            echo "The openapi.json file has been modified after running 'pnpm generate:api-all'."
+            echo "This usually means changes have been made in the BE endpoints without updating the Frontend."
+            echo "The API schema is now out of sync with the Front-end queries."
+            echo ""
+            echo "To fix this:"
+            echo "1. Pull the backend 'docker compose pull && docker compose up -d --build --force-recreate'"
+            echo "2. Run 'pnpm generate:api' locally"
+            echo "3. Run 'pnpm types' locally"
+            echo "4. Fix any TypeScript errors that may have been introduced"
+            echo "5. Commit and push your changes"
+            echo ""
+            exit 1
+          else
+            echo "✅ No API schema changes detected"
+          fi
+
+      - name: Run Typescript checks
+        run: pnpm types
diff --git a/.github/workflows/platform-market-ci.yml b/.github/workflows/platform-market-ci.yml
deleted file mode 100644
index c4ba56f9632c..000000000000
--- a/.github/workflows/platform-market-ci.yml
+++ /dev/null
@@ -1,126 +0,0 @@
-name: AutoGPT Platform - Backend CI
-
-on:
-  push:
-    branches: [master, dev, ci-test*]
-    paths:
-      - ".github/workflows/platform-market-ci.yml"
-      - "autogpt_platform/market/**"
-  pull_request:
-    branches: [master, dev, release-*]
-    paths:
-      - ".github/workflows/platform-market-ci.yml"
-      - "autogpt_platform/market/**"
-  merge_group:
-
-concurrency:
-  group: ${{ format('backend-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
-
-defaults:
-  run:
-    shell: bash
-    working-directory: autogpt_platform/market
-
-jobs:
-  test:
-    permissions:
-      contents: read
-    timeout-minutes: 30
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ["3.10"]
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          submodules: true
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Setup Supabase
-        uses: supabase/setup-cli@v1
-        with:
-          version: latest
-
-      - id: get_date
-        name: Get date
-        run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v4
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/market/poetry.lock') }}
-
-      - name: Install Poetry (Unix)
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-
-          if [ "${{ runner.os }}" = "macOS" ]; then
-            PATH="$HOME/.local/bin:$PATH"
-            echo "$HOME/.local/bin" >> $GITHUB_PATH
-          fi
-
-      - name: Install Python dependencies
-        run: poetry install
-
-      - name: Generate Prisma Client
-        run: poetry run prisma generate
-
-      - id: supabase
-        name: Start Supabase
-        working-directory: .
-        run: |
-          supabase init
-          supabase start --exclude postgres-meta,realtime,storage-api,imgproxy,inbucket,studio,edge-runtime,logflare,vector,supavisor
-          supabase status -o env | sed 's/="/=/; s/"$//' >> $GITHUB_OUTPUT
-        # outputs:
-        # DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
-
-      - name: Run Database Migrations
-        run: poetry run prisma migrate dev --name updates
-        env:
-          DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
-
-      - id: lint
-        name: Run Linter
-        run: poetry run lint
-
-      # Tests comment out because they do not work with prisma mock, nor have they been updated since they were created
-      # - name: Run pytest with coverage
-      #   run: |
-      #     if [[ "${{ runner.debug }}" == "1" ]]; then
-      #       poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG test
-      #     else
-      #       poetry run pytest -s -vv test
-      #     fi
-      #   if: success() || (failure() && steps.lint.outcome == 'failure')
-      #   env:
-      #     LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
-      #     DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
-      #     SUPABASE_URL: ${{ steps.supabase.outputs.API_URL }}
-      #     SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
-      #     SUPABASE_JWT_SECRET: ${{ steps.supabase.outputs.JWT_SECRET }}
-      #     REDIS_HOST: 'localhost'
-      #     REDIS_PORT: '6379'
-          # REDIS_PASSWORD: 'testpassword'
-
-    env:
-      CI: true
-      PLAIN_OUTPUT: True
-      RUN_ENV: local
-      PORT: 8080
-
-      # - name: Upload coverage reports to Codecov
-      #   uses: codecov/codecov-action@v4
-      #   with:
-      #     token: ${{ secrets.CODECOV_TOKEN }}
-      #     flags: backend,${{ runner.os }}
diff --git a/.github/workflows/repo-close-stale-issues.yml b/.github/workflows/repo-close-stale-issues.yml
index fa5248d08233..a9f183d77566 100644
--- a/.github/workflows/repo-close-stale-issues.yml
+++ b/.github/workflows/repo-close-stale-issues.yml
@@ -16,7 +16,7 @@ jobs:
           # operations-per-run: 5000
           stale-issue-message: >
             This issue has automatically been marked as _stale_ because it has not had
-            any activity in the last 50 days. You can _unstale_ it by commenting or
+            any activity in the last 170 days. You can _unstale_ it by commenting or
             removing the label. Otherwise, this issue will be closed in 10 days.
           stale-pr-message: >
             This pull request has automatically been marked as _stale_ because it has
@@ -25,7 +25,7 @@ jobs:
           close-issue-message: >
             This issue was closed automatically because it has been stale for 10 days
             with no activity.
-          days-before-stale: 50
+          days-before-stale: 170
           days-before-close: 10
           # Do not touch meta issues:
           exempt-issue-labels: meta,fridge,project management
diff --git a/.github/workflows/scripts/get_package_version_from_lockfile.py b/.github/workflows/scripts/get_package_version_from_lockfile.py
new file mode 100644
index 000000000000..3ee99d6696f3
--- /dev/null
+++ b/.github/workflows/scripts/get_package_version_from_lockfile.py
@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+import sys
+
+if sys.version_info < (3, 11):
+    print("Python version 3.11 or higher required")
+    sys.exit(1)
+
+import tomllib
+
+
+def get_package_version(package_name: str, lockfile_path: str) -> str | None:
+    """Extract package version from poetry.lock file."""
+    try:
+        if lockfile_path == "-":
+            data = tomllib.load(sys.stdin.buffer)
+        else:
+            with open(lockfile_path, "rb") as f:
+                data = tomllib.load(f)
+    except FileNotFoundError:
+        print(f"Error: File '{lockfile_path}' not found", file=sys.stderr)
+        sys.exit(1)
+    except tomllib.TOMLDecodeError as e:
+        print(f"Error parsing TOML file: {e}", file=sys.stderr)
+        sys.exit(1)
+    except Exception as e:
+        print(f"Error reading file: {e}", file=sys.stderr)
+        sys.exit(1)
+
+    # Look for the package in the packages list
+    packages = data.get("package", [])
+    for package in packages:
+        if package.get("name", "").lower() == package_name.lower():
+            return package.get("version")
+
+    return None
+
+
+def main():
+    if len(sys.argv) not in (2, 3):
+        print(
+            "Usages: python get_package_version_from_lockfile.py <package name> [poetry.lock path]\n"
+            "        cat poetry.lock | python get_package_version_from_lockfile.py <package name> -",
+            file=sys.stderr,
+        )
+        sys.exit(1)
+
+    package_name = sys.argv[1]
+    lockfile_path = sys.argv[2] if len(sys.argv) == 3 else "poetry.lock"
+
+    version = get_package_version(package_name, lockfile_path)
+
+    if version:
+        print(version)
+    else:
+        print(f"Package '{package_name}' not found in {lockfile_path}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/.gitignore b/.gitignore
index d00ab276ce1f..15160be56ee4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,6 +5,8 @@ classic/original_autogpt/*.json
 auto_gpt_workspace/*
 *.mpeg
 .env
+# Root .env files
+/.env
 azure.yaml
 .vscode
 .idea/*
@@ -121,7 +123,6 @@ celerybeat.pid
 
 # Environments
 .direnv/
-.env
 .venv
 env/
 venv*/
@@ -165,7 +166,7 @@ package-lock.json
 
 # Allow for locally private items
 # private
-pri* 
+pri*
 # ignore
 ig*
 .github_access_token
@@ -176,3 +177,4 @@ autogpt_platform/backend/settings.py
 
 *.ign.*
 .test-contents
+.claude/settings.local.json
diff --git a/.gitmodules b/.gitmodules
index 4db81f42c094..112960b5b57c 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,6 +1,3 @@
 [submodule "classic/forge/tests/vcr_cassettes"]
 	path = classic/forge/tests/vcr_cassettes
 	url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes
-[submodule "autogpt_platform/supabase"]
-	path = autogpt_platform/supabase
-	url = https://github.com/supabase/supabase.git
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 724eb8ef1c52..39ec659ef9e8 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -17,7 +17,7 @@ repos:
         name: Detect secrets
         description: Detects high entropy strings that are likely to be passwords.
         files: ^autogpt_platform/
-        stages: [push]
+        stages: [pre-push]
 
   - repo: local
     # For proper type checking, all dependencies need to be up-to-date.
@@ -110,7 +110,7 @@ repos:
       - id: isort
         name: Lint (isort) - AutoGPT Platform - Backend
         alias: isort-platform-backend
-        entry: poetry -C autogpt_platform/backend run isort -p backend
+        entry: poetry -P autogpt_platform/backend run isort -p backend
         files: ^autogpt_platform/backend/
         types: [file, python]
         language: system
@@ -118,7 +118,7 @@ repos:
       - id: isort
         name: Lint (isort) - Classic - AutoGPT
         alias: isort-classic-autogpt
-        entry: poetry -C classic/original_autogpt run isort -p autogpt
+        entry: poetry -P classic/original_autogpt run isort -p autogpt
         files: ^classic/original_autogpt/
         types: [file, python]
         language: system
@@ -126,7 +126,7 @@ repos:
       - id: isort
         name: Lint (isort) - Classic - Forge
         alias: isort-classic-forge
-        entry: poetry -C classic/forge run isort -p forge
+        entry: poetry -P classic/forge run isort -p forge
         files: ^classic/forge/
         types: [file, python]
         language: system
@@ -134,13 +134,13 @@ repos:
       - id: isort
         name: Lint (isort) - Classic - Benchmark
         alias: isort-classic-benchmark
-        entry: poetry -C classic/benchmark run isort -p agbenchmark
+        entry: poetry -P classic/benchmark run isort -p agbenchmark
         files: ^classic/benchmark/
         types: [file, python]
         language: system
 
   - repo: https://github.com/psf/black
-    rev: 23.12.1
+    rev: 24.10.0
     # Black has sensible defaults, doesn't need package context, and ignores
     # everything in .gitignore, so it works fine without any config or arguments.
     hooks:
@@ -170,6 +170,16 @@ repos:
         files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
         args: [--config=classic/benchmark/.flake8]
 
+  - repo: local
+    hooks:
+      - id: prettier
+        name: Format (Prettier) - AutoGPT Platform - Frontend
+        alias: format-platform-frontend
+        entry: bash -c 'cd autogpt_platform/frontend && npx prettier --write $(echo "$@" | sed "s|autogpt_platform/frontend/||g")' --
+        files: ^autogpt_platform/frontend/
+        types: [file]
+        language: system
+
   - repo: local
     # To have watertight type checking, we check *all* the files in an affected
     # project. To trigger on poetry.lock we also reset the file `types` filter.
@@ -178,7 +188,6 @@ repos:
         name: Typecheck - AutoGPT Platform - Backend
         alias: pyright-platform-backend
         entry: poetry -C autogpt_platform/backend run pyright
-        args: [-p, autogpt_platform/backend, autogpt_platform/backend]
         # include forge source (since it's a path dependency) but exclude *_test.py files:
         files: ^autogpt_platform/(backend/((backend|test)/|(\w+\.py|poetry\.lock)$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
         types: [file]
@@ -189,7 +198,6 @@ repos:
         name: Typecheck - AutoGPT Platform - Libs
         alias: pyright-platform-libs
         entry: poetry -C autogpt_platform/autogpt_libs run pyright
-        args: [-p, autogpt_platform/autogpt_libs, autogpt_platform/autogpt_libs]
         files: ^autogpt_platform/autogpt_libs/(autogpt_libs/|poetry\.lock$)
         types: [file]
         language: system
@@ -199,7 +207,6 @@ repos:
         name: Typecheck - Classic - AutoGPT
         alias: pyright-classic-autogpt
         entry: poetry -C classic/original_autogpt run pyright
-        args: [-p, classic/original_autogpt, classic/original_autogpt]
         # include forge source (since it's a path dependency) but exclude *_test.py files:
         files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
         types: [file]
@@ -210,7 +217,6 @@ repos:
         name: Typecheck - Classic - Forge
         alias: pyright-classic-forge
         entry: poetry -C classic/forge run pyright
-        args: [-p, classic/forge, classic/forge]
         files: ^classic/forge/(forge/|poetry\.lock$)
         types: [file]
         language: system
@@ -220,7 +226,6 @@ repos:
         name: Typecheck - Classic - Benchmark
         alias: pyright-classic-benchmark
         entry: poetry -C classic/benchmark run pyright
-        args: [-p, classic/benchmark, classic/benchmark]
         files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
         types: [file]
         language: system
@@ -228,36 +233,46 @@ repos:
 
   - repo: local
     hooks:
-      - id: pytest
-        name: Run tests - AutoGPT Platform - Backend
-        alias: pytest-platform-backend
-        entry: bash -c 'cd autogpt_platform/backend && poetry run pytest'
-        # include autogpt_libs source (since it's a path dependency) but exclude *_test.py files:
-        files: ^autogpt_platform/(backend/((backend|test)/|poetry\.lock$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
+      - id: tsc
+        name: Typecheck - AutoGPT Platform - Frontend
+        entry: bash -c 'cd autogpt_platform/frontend && pnpm types'
+        files: ^autogpt_platform/frontend/
+        types: [file]
         language: system
         pass_filenames: false
 
-      - id: pytest
-        name: Run tests - Classic - AutoGPT (excl. slow tests)
-        alias: pytest-classic-autogpt
-        entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
-        # include forge source (since it's a path dependency) but exclude *_test.py files:
-        files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
-        language: system
-        pass_filenames: false
+  # - repo: local
+  #   hooks:
+  #     - id: pytest
+  #       name: Run tests - AutoGPT Platform - Backend
+  #       alias: pytest-platform-backend
+  #       entry: bash -c 'cd autogpt_platform/backend && poetry run pytest'
+  #       # include autogpt_libs source (since it's a path dependency) but exclude *_test.py files:
+  #       files: ^autogpt_platform/(backend/((backend|test)/|poetry\.lock$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
+  #       language: system
+  #       pass_filenames: false
 
-      - id: pytest
-        name: Run tests - Classic - Forge (excl. slow tests)
-        alias: pytest-classic-forge
-        entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
-        files: ^classic/forge/(forge/|tests/|poetry\.lock$)
-        language: system
-        pass_filenames: false
+  #     - id: pytest
+  #       name: Run tests - Classic - AutoGPT (excl. slow tests)
+  #       alias: pytest-classic-autogpt
+  #       entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
+  #       # include forge source (since it's a path dependency) but exclude *_test.py files:
+  #       files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
+  #       language: system
+  #       pass_filenames: false
 
-      - id: pytest
-        name: Run tests - Classic - Benchmark
-        alias: pytest-classic-benchmark
-        entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
-        files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
-        language: system
-        pass_filenames: false
+  #     - id: pytest
+  #       name: Run tests - Classic - Forge (excl. slow tests)
+  #       alias: pytest-classic-forge
+  #       entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
+  #       files: ^classic/forge/(forge/|tests/|poetry\.lock$)
+  #       language: system
+  #       pass_filenames: false
+
+  #     - id: pytest
+  #       name: Run tests - Classic - Benchmark
+  #       alias: pytest-classic-benchmark
+  #       entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
+  #       files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
+  #       language: system
+  #       pass_filenames: false
diff --git a/.vscode/launch.json b/.vscode/launch.json
index 0c6b896b8e4c..8bf86a559c65 100644
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -6,7 +6,7 @@
       "type": "node-terminal",
       "request": "launch",
       "cwd": "${workspaceFolder}/autogpt_platform/frontend",
-      "command": "yarn dev"
+      "command": "pnpm dev"
     },
     {
       "name": "Frontend: Client Side",
@@ -19,12 +19,12 @@
       "type": "node-terminal",
 
       "request": "launch",
-      "command": "yarn dev",
+      "command": "pnpm dev",
       "cwd": "${workspaceFolder}/autogpt_platform/frontend",
       "serverReadyAction": {
         "pattern": "- Local:.+(https?://.+)",
         "uriFormat": "%s",
-        "action": "debugWithEdge"
+        "action": "debugWithChrome"
       }
     },
     {
@@ -32,9 +32,9 @@
       "type": "debugpy",
       "request": "launch",
       "module": "backend.app",
-      // "env": {
-      //   "ENV": "dev"
-      // },
+      "env": {
+        "OBJC_DISABLE_INITIALIZE_FORK_SAFETY": "YES"
+      },
       "envFile": "${workspaceFolder}/backend/.env",
       "justMyCode": false,
       "cwd": "${workspaceFolder}/autogpt_platform/backend"
diff --git a/AGENTS.md b/AGENTS.md
new file mode 100644
index 000000000000..d31bc92f8c31
--- /dev/null
+++ b/AGENTS.md
@@ -0,0 +1,53 @@
+# AutoGPT Platform Contribution Guide
+
+This guide provides context for Codex when updating the **autogpt_platform** folder.
+
+## Directory overview
+
+- `autogpt_platform/backend` – FastAPI based backend service.
+- `autogpt_platform/autogpt_libs` – Shared Python libraries.
+- `autogpt_platform/frontend` – Next.js + Typescript frontend.
+- `autogpt_platform/docker-compose.yml` – development stack.
+
+See `docs/content/platform/getting-started.md` for setup instructions.
+
+## Code style
+
+- Format Python code with `poetry run format`.
+- Format frontend code using `pnpm format`.
+
+## Testing
+
+- Backend: `poetry run test` (runs pytest with a docker based postgres + prisma).
+- Frontend: `pnpm test` or `pnpm test-ui` for Playwright tests. See `docs/content/platform/contributing/tests.md` for tips.
+
+Always run the relevant linters and tests before committing.
+Use conventional commit messages for all commits (e.g. `feat(backend): add API`).
+  Types:
+    - feat
+    - fix
+    - refactor
+    - ci
+    - dx (developer experience)
+  Scopes:
+    - platform
+      - platform/library
+      - platform/marketplace
+      - backend
+        - backend/executor
+      - frontend
+        - frontend/library
+        - frontend/marketplace
+      - blocks
+
+## Pull requests
+
+- Use the template in `.github/PULL_REQUEST_TEMPLATE.md`.
+- Rely on the pre-commit checks for linting and formatting
+- Fill out the **Changes** section and the checklist.
+- Use conventional commit titles with a scope (e.g. `feat(frontend): add feature`).
+- Keep out-of-scope changes under 20% of the PR.
+- Ensure PR descriptions are complete.
+- For changes touching `data/*.py`, validate user ID checks or explain why not needed.
+- If adding protected frontend routes, update `frontend/lib/supabase/middleware.ts`.
+- Use the linear ticket branch structure if given codex/open-1668-resume-dropped-runs
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 5144d6b6bca1..e75f545a94a5 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -2,9 +2,6 @@
 If you are reading this, you are probably looking for the full **[contribution guide]**,
 which is part of our [wiki].
 
-Also check out our [🚀 Roadmap][roadmap] for information about our priorities and associated tasks.
-<!-- You can find our immediate priorities and their progress on our public [kanban board]. -->
-
 [contribution guide]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
 [wiki]: https://github.com/Significant-Gravitas/AutoGPT/wiki
 [roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971
diff --git a/LICENSE b/LICENSE
index 52c6e9a8d528..f141042fa4c9 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,197 @@
-All portions of this repository are under one of two licenses. The majority of the AutoGPT repository is under the MIT License below. The autogpt_platform folder is under the
-Polyform Shield License. 
+All portions of this repository are under one of two licenses. 
 
+- Everything inside the autogpt_platform folder is under the Polyform Shield License.
+- Everything outside the autogpt_platform folder is under the MIT License. 
+
+More info:
+
+**Polyform Shield License:**
+Code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.
+Read more about this effort here: https://agpt.co/blog/introducing-the-autogpt-platform
+
+**MIT License:**
+All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes:
+- The Original, stand-alone AutoGPT Agent
+- Forge: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge
+- AG Benchmark: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark
+- AutoGPT Classic GUI: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend.
+
+We also publish additional work under the MIT Licence in other repositories, such as GravitasML (https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform, and our [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
+
+Both licences are available to read below:
+
+=====================================================
+-----------------------------------------------------
+=====================================================
+
+# PolyForm Shield License 1.0.0
+
+<https://polyformproject.org/licenses/shield/1.0.0>
+
+## Acceptance
+
+In order to get any license under these terms, you must agree
+to them as both strict obligations and conditions to all
+your licenses.
+
+## Copyright License
+
+The licensor grants you a copyright license for the
+software to do everything you might do with the software
+that would otherwise infringe the licensor's copyright
+in it for any permitted purpose.  However, you may
+only distribute the software according to [Distribution
+License](#distribution-license) and make changes or new works
+based on the software according to [Changes and New Works
+License](#changes-and-new-works-license).
+
+## Distribution License
+
+The licensor grants you an additional copyright license
+to distribute copies of the software.  Your license
+to distribute covers distributing the software with
+changes and new works permitted by [Changes and New Works
+License](#changes-and-new-works-license).
+
+## Notices
+
+You must ensure that anyone who gets a copy of any part of
+the software from you also gets a copy of these terms or the
+URL for them above, as well as copies of any plain-text lines
+beginning with `Required Notice:` that the licensor provided
+with the software.  For example:
+
+> Required Notice: Copyright Yoyodyne, Inc. (http://example.com)
+
+## Changes and New Works License
+
+The licensor grants you an additional copyright license to
+make changes and new works based on the software for any
+permitted purpose.
+
+## Patent License
+
+The licensor grants you a patent license for the software that
+covers patent claims the licensor can license, or becomes able
+to license, that you would infringe by using the software.
+
+## Noncompete
+
+Any purpose is a permitted purpose, except for providing any
+product that competes with the software or any product the
+licensor or any of its affiliates provides using the software.
+
+## Competition
+
+Goods and services compete even when they provide functionality
+through different kinds of interfaces or for different technical
+platforms.  Applications can compete with services, libraries
+with plugins, frameworks with development tools, and so on,
+even if they're written in different programming languages
+or for different computer architectures.  Goods and services
+compete even when provided free of charge.  If you market a
+product as a practical substitute for the software or another
+product, it definitely competes.
+
+## New Products
+
+If you are using the software to provide a product that does
+not compete, but the licensor or any of its affiliates brings
+your product into competition by providing a new version of
+the software or another product using the software, you may
+continue using versions of the software available under these
+terms beforehand to provide your competing product, but not
+any later versions.
+
+## Discontinued Products
+
+You may begin using the software to compete with a product
+or service that the licensor or any of its affiliates has
+stopped providing, unless the licensor includes a plain-text
+line beginning with `Licensor Line of Business:` with the
+software that mentions that line of business.  For example:
+
+> Licensor Line of Business: YoyodyneCMS Content Management
+System (http://example.com/cms)
+
+## Sales of Business
+
+If the licensor or any of its affiliates sells a line of
+business developing the software or using the software
+to provide a product, the buyer can also enforce
+[Noncompete](#noncompete) for that product.
+
+## Fair Use
+
+You may have "fair use" rights for the software under the
+law. These terms do not limit them.
+
+## No Other Rights
+
+These terms do not allow you to sublicense or transfer any of
+your licenses to anyone else, or prevent the licensor from
+granting licenses to anyone else.  These terms do not imply
+any other licenses.
+
+## Patent Defense
+
+If you make any written claim that the software infringes or
+contributes to infringement of any patent, your patent license
+for the software granted under these terms ends immediately. If
+your company makes such a claim, your patent license ends
+immediately for work on behalf of your company.
+
+## Violations
+
+The first time you are notified in writing that you have
+violated any of these terms, or done anything with the software
+not covered by your licenses, your licenses can nonetheless
+continue if you come into full compliance with these terms,
+and take practical steps to correct past violations, within
+32 days of receiving notice.  Otherwise, all your licenses
+end immediately.
+
+## No Liability
+
+***As far as the law allows, the software comes as is, without
+any warranty or condition, and the licensor will not be liable
+to you for any damages arising out of these terms or the use
+or nature of the software, under any kind of legal claim.***
+
+## Definitions
+
+The **licensor** is the individual or entity offering these
+terms, and the **software** is the software the licensor makes
+available under these terms.
+
+A **product** can be a good or service, or a combination
+of them.
+
+**You** refers to the individual or entity agreeing to these
+terms.
+
+**Your company** is any legal entity, sole proprietorship,
+or other kind of organization that you work for, plus all
+its affiliates.
+
+**Affiliates** means the other organizations than an
+organization has control over, is under the control of, or is
+under common control with.
+
+**Control** means ownership of substantially all the assets of
+an entity, or the power to direct its management and policies
+by vote, contract, or otherwise.  Control can be direct or
+indirect.
+
+**Your licenses** are all the licenses granted to you for the
+software under these terms.
+
+**Use** means anything you do with the software requiring one
+of your licenses.
+
+=====================================================
+-----------------------------------------------------
+=====================================================
 
 MIT License
 
diff --git a/README.md b/README.md
index 9cbaefdb2515..3572fe318be3 100644
--- a/README.md
+++ b/README.md
@@ -1,24 +1,82 @@
 # AutoGPT: Build, Deploy, and Run AI Agents
 
-[![Discord Follow](https://dcbadge.vercel.app/api/server/autogpt?style=flat)](https://discord.gg/autogpt) &ensp;
+[![Discord Follow](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fautogpt%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&label=total%20members&logo=discord&logoColor=white&color=7289da)](https://discord.gg/autogpt) &ensp;
 [![Twitter Follow](https://img.shields.io/twitter/follow/Auto_GPT?style=social)](https://twitter.com/Auto_GPT) &ensp;
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
+<!-- Keep these links. Translations will automatically update with the README. -->
+[Deutsch](https://zdoc.app/de/Significant-Gravitas/AutoGPT) | 
+[Español](https://zdoc.app/es/Significant-Gravitas/AutoGPT) | 
+[français](https://zdoc.app/fr/Significant-Gravitas/AutoGPT) | 
+[日本語](https://zdoc.app/ja/Significant-Gravitas/AutoGPT) | 
+[한국어](https://zdoc.app/ko/Significant-Gravitas/AutoGPT) | 
+[Português](https://zdoc.app/pt/Significant-Gravitas/AutoGPT) | 
+[Русский](https://zdoc.app/ru/Significant-Gravitas/AutoGPT) | 
+[中文](https://zdoc.app/zh/Significant-Gravitas/AutoGPT)
 
 **AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. 
 
 ## Hosting Options 
-   - Download to self-host
-   - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta  
+   - Download to self-host (Free!)
+   - [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta (Closed Beta - Public release Coming Soon!)
 
-## How to Setup for Self-Hosting
+## How to Self-Host the AutoGPT Platform
 > [!NOTE]
 > Setting up and hosting the AutoGPT Platform yourself is a technical process. 
 > If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.
 
-https://github.com/user-attachments/assets/d04273a5-b36a-4a37-818e-f631ce72d603
+### System Requirements
+
+Before proceeding with the installation, ensure your system meets the following requirements:
+
+#### Hardware Requirements
+- CPU: 4+ cores recommended
+- RAM: Minimum 8GB, 16GB recommended
+- Storage: At least 10GB of free space
+
+#### Software Requirements
+- Operating Systems:
+  - Linux (Ubuntu 20.04 or newer recommended)
+  - macOS (10.15 or newer)
+  - Windows 10/11 with WSL2
+- Required Software (with minimum versions):
+  - Docker Engine (20.10.0 or newer)
+  - Docker Compose (2.0.0 or newer)
+  - Git (2.30 or newer)
+  - Node.js (16.x or newer)
+  - npm (8.x or newer)
+  - VSCode (1.60 or newer) or any modern code editor
+
+#### Network Requirements
+- Stable internet connection
+- Access to required ports (will be configured in Docker)
+- Ability to make outbound HTTPS connections
+
+### Updated Setup Instructions:
+We've moved to a fully maintained and regularly updated documentation site.
+
+👉 [Follow the official self-hosting guide here](https://docs.agpt.co/platform/getting-started/)
+
 
 This tutorial assumes you have Docker, VSCode, git and npm installed.
 
+---
+
+#### ⚡ Quick Setup with One-Line Script (Recommended for Local Hosting)
+
+Skip the manual steps and get started in minutes using our automatic setup script.
+
+For macOS/Linux:
+```
+curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
+```
+
+For Windows (PowerShell):
+```
+powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"
+```
+
+This will install dependencies, configure Docker, and launch your local instance — all in one go.
+
 ### 🧱 AutoGPT Frontend
 
 The AutoGPT frontend is where users interact with our powerful AI automation platform. It offers multiple ways to engage with and leverage our AI agents. This is the interface where you'll bring your AI automation ideas to life:
@@ -65,7 +123,17 @@ Here are two examples of what you can do with AutoGPT:
 These examples show just a glimpse of what you can achieve with AutoGPT! You can create customized workflows to build agents for any use case.
 
 ---
-### Mission and Licencing
+
+### **License Overview:**
+
+🛡️ **Polyform Shield License:**
+All code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents.</br>_[Read more about this effort](https://agpt.co/blog/introducing-the-autogpt-platform)_
+
+🦉 **MIT License:**
+All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes the original stand-alone AutoGPT Agent, along with projects such as [Forge](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge), [agbenchmark](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) and the [AutoGPT Classic GUI](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend).</br>We also publish additional work under the MIT Licence in other repositories, such as [GravitasML](https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform. See also our MIT Licenced [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project.
+
+---
+### Mission
 Our mission is to provide the tools, so that you can focus on what matters:
 
 - 🏗️ **Building** - Lay the foundation for something amazing.
@@ -78,14 +146,6 @@ Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI i
 &ensp;|&ensp;
 **🚀 [Contributing](CONTRIBUTING.md)**
 
-**Licensing:**
-
-MIT License: The majority of the AutoGPT repository is under the MIT License.
-
-Polyform Shield License: This license applies to the autogpt_platform folder. 
-
-For more information, see https://agpt.co/blog/introducing-the-autogpt-platform
-
 ---
 ## 🤖 AutoGPT Classic
 > Below is information about the classic version of AutoGPT.
@@ -148,7 +208,7 @@ Just clone the repo, install dependencies with `./run setup`, and you should be
 
 [![Join us on Discord](https://invidget.switchblade.xyz/autogpt)](https://discord.gg/autogpt)
 
-To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn’t created an issue for the same topic.
+To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn't created an issue for the same topic.
 
 ## 🤝 Sister projects
 
diff --git a/SECURITY.md b/SECURITY.md
index 1bacc8ef83d2..45705d710669 100644
--- a/SECURITY.md
+++ b/SECURITY.md
@@ -20,6 +20,7 @@ Instead, please report them via:
 - Please provide detailed reports with reproducible steps
 - Include the version/commit hash where you discovered the vulnerability
 - Allow us a 90-day security fix window before any public disclosure
+- After patch is released, allow 30 days for users to update before public disclosure (for a total of 120 days max between update time and fix time)
 - Share any potential mitigations or workarounds if known
 
 ## Supported Versions
diff --git a/autogpt_platform/.env.default b/autogpt_platform/.env.default
new file mode 100644
index 000000000000..bb74500874d3
--- /dev/null
+++ b/autogpt_platform/.env.default
@@ -0,0 +1,123 @@
+############
+# Secrets
+# YOU MUST CHANGE THESE BEFORE GOING INTO PRODUCTION
+############
+
+POSTGRES_PASSWORD=your-super-secret-and-long-postgres-password
+JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
+ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+DASHBOARD_USERNAME=supabase
+DASHBOARD_PASSWORD=this_password_is_insecure_and_should_be_updated
+SECRET_KEY_BASE=UpNVntn3cDxHJpq99YMc1T1AQgQpc8kfYTuRgBiYa15BLrx8etQoXz3gZv1/u2oq
+VAULT_ENC_KEY=your-encryption-key-32-chars-min
+
+
+############
+# Database - You can change these to any PostgreSQL database that has logical replication enabled.
+############
+
+POSTGRES_HOST=db
+POSTGRES_DB=postgres
+POSTGRES_PORT=5432
+# default user is postgres
+
+
+############
+# Supavisor -- Database pooler
+############
+POOLER_PROXY_PORT_TRANSACTION=6543
+POOLER_DEFAULT_POOL_SIZE=20
+POOLER_MAX_CLIENT_CONN=100
+POOLER_TENANT_ID=your-tenant-id
+
+
+############
+# API Proxy - Configuration for the Kong Reverse proxy.
+############
+
+KONG_HTTP_PORT=8000
+KONG_HTTPS_PORT=8443
+
+
+############
+# API - Configuration for PostgREST.
+############
+
+PGRST_DB_SCHEMAS=public,storage,graphql_public
+
+
+############
+# Auth - Configuration for the GoTrue authentication server.
+############
+
+## General
+SITE_URL=http://localhost:3000
+ADDITIONAL_REDIRECT_URLS=
+JWT_EXPIRY=3600
+DISABLE_SIGNUP=false
+API_EXTERNAL_URL=http://localhost:8000
+
+## Mailer Config
+MAILER_URLPATHS_CONFIRMATION="/auth/v1/verify"
+MAILER_URLPATHS_INVITE="/auth/v1/verify"
+MAILER_URLPATHS_RECOVERY="/auth/v1/verify"
+MAILER_URLPATHS_EMAIL_CHANGE="/auth/v1/verify"
+
+## Email auth
+ENABLE_EMAIL_SIGNUP=true
+ENABLE_EMAIL_AUTOCONFIRM=false
+SMTP_ADMIN_EMAIL=admin@example.com
+SMTP_HOST=supabase-mail
+SMTP_PORT=2500
+SMTP_USER=fake_mail_user
+SMTP_PASS=fake_mail_password
+SMTP_SENDER_NAME=fake_sender
+ENABLE_ANONYMOUS_USERS=false
+
+## Phone auth
+ENABLE_PHONE_SIGNUP=true
+ENABLE_PHONE_AUTOCONFIRM=true
+
+
+############
+# Studio - Configuration for the Dashboard
+############
+
+STUDIO_DEFAULT_ORGANIZATION=Default Organization
+STUDIO_DEFAULT_PROJECT=Default Project
+
+STUDIO_PORT=3000
+# replace if you intend to use Studio outside of localhost
+SUPABASE_PUBLIC_URL=http://localhost:8000
+
+# Enable webp support
+IMGPROXY_ENABLE_WEBP_DETECTION=true
+
+# Add your OpenAI API key to enable SQL Editor Assistant
+OPENAI_API_KEY=
+
+
+############
+# Functions - Configuration for Functions
+############
+# NOTE: VERIFY_JWT applies to all functions. Per-function VERIFY_JWT is not supported yet.
+FUNCTIONS_VERIFY_JWT=false
+
+
+############
+# Logs - Configuration for Logflare
+# Please refer to https://supabase.com/docs/reference/self-hosting-analytics/introduction
+############
+
+LOGFLARE_LOGGER_BACKEND_API_KEY=your-super-secret-and-long-logflare-key
+
+# Change vector.toml sinks to reflect this change
+LOGFLARE_API_KEY=your-super-secret-and-long-logflare-key
+
+# Docker socket location - this value will differ depending on your OS
+DOCKER_SOCKET_LOCATION=/var/run/docker.sock
+
+# Google Cloud Project details
+GOOGLE_PROJECT_ID=GOOGLE_PROJECT_ID
+GOOGLE_PROJECT_NUMBER=GOOGLE_PROJECT_NUMBER
diff --git a/autogpt_platform/CLAUDE.md b/autogpt_platform/CLAUDE.md
new file mode 100644
index 000000000000..d6f69d67998b
--- /dev/null
+++ b/autogpt_platform/CLAUDE.md
@@ -0,0 +1,230 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Repository Overview
+
+AutoGPT Platform is a monorepo containing:
+
+- **Backend** (`/backend`): Python FastAPI server with async support
+- **Frontend** (`/frontend`): Next.js React application
+- **Shared Libraries** (`/autogpt_libs`): Common Python utilities
+
+## Essential Commands
+
+### Backend Development
+
+```bash
+# Install dependencies
+cd backend && poetry install
+
+# Run database migrations
+poetry run prisma migrate dev
+
+# Start all services (database, redis, rabbitmq, clamav)
+docker compose up -d
+
+# Run the backend server
+poetry run serve
+
+# Run tests
+poetry run test
+
+# Run specific test
+poetry run pytest path/to/test_file.py::test_function_name
+
+# Run block tests (tests that validate all blocks work correctly)
+poetry run pytest backend/blocks/test/test_block.py -xvs
+
+# Run tests for a specific block (e.g., GetCurrentTimeBlock)
+poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[GetCurrentTimeBlock]' -xvs
+
+# Lint and format
+# prefer format if you want to just "fix" it and only get the errors that can't be autofixed
+poetry run format  # Black + isort
+poetry run lint    # ruff
+```
+
+More details can be found in TESTING.md
+
+#### Creating/Updating Snapshots
+
+When you first write a test or when the expected output changes:
+
+```bash
+poetry run pytest path/to/test.py --snapshot-update
+```
+
+⚠️ **Important**: Always review snapshot changes before committing! Use `git diff` to verify the changes are expected.
+
+### Frontend Development
+
+```bash
+# Install dependencies
+cd frontend && npm install
+
+# Start development server
+npm run dev
+
+# Run E2E tests
+npm run test
+
+# Run Storybook for component development
+npm run storybook
+
+# Build production
+npm run build
+
+# Type checking
+npm run types
+```
+
+## Architecture Overview
+
+### Backend Architecture
+
+- **API Layer**: FastAPI with REST and WebSocket endpoints
+- **Database**: PostgreSQL with Prisma ORM, includes pgvector for embeddings
+- **Queue System**: RabbitMQ for async task processing
+- **Execution Engine**: Separate executor service processes agent workflows
+- **Authentication**: JWT-based with Supabase integration
+- **Security**: Cache protection middleware prevents sensitive data caching in browsers/proxies
+
+### Frontend Architecture
+
+- **Framework**: Next.js App Router with React Server Components
+- **State Management**: React hooks + Supabase client for real-time updates
+- **Workflow Builder**: Visual graph editor using @xyflow/react
+- **UI Components**: Radix UI primitives with Tailwind CSS styling
+- **Feature Flags**: LaunchDarkly integration
+
+### Key Concepts
+
+1. **Agent Graphs**: Workflow definitions stored as JSON, executed by the backend
+2. **Blocks**: Reusable components in `/backend/blocks/` that perform specific tasks
+3. **Integrations**: OAuth and API connections stored per user
+4. **Store**: Marketplace for sharing agent templates
+5. **Virus Scanning**: ClamAV integration for file upload security
+
+### Testing Approach
+
+- Backend uses pytest with snapshot testing for API responses
+- Test files are colocated with source files (`*_test.py`)
+- Frontend uses Playwright for E2E tests
+- Component testing via Storybook
+
+### Database Schema
+
+Key models (defined in `/backend/schema.prisma`):
+
+- `User`: Authentication and profile data
+- `AgentGraph`: Workflow definitions with version control
+- `AgentGraphExecution`: Execution history and results
+- `AgentNode`: Individual nodes in a workflow
+- `StoreListing`: Marketplace listings for sharing agents
+
+### Environment Configuration
+
+#### Configuration Files
+
+- **Backend**: `/backend/.env.default` (defaults) → `/backend/.env` (user overrides)
+- **Frontend**: `/frontend/.env.default` (defaults) → `/frontend/.env` (user overrides)
+- **Platform**: `/.env.default` (Supabase/shared defaults) → `/.env` (user overrides)
+
+#### Docker Environment Loading Order
+
+1. `.env.default` files provide base configuration (tracked in git)
+2. `.env` files provide user-specific overrides (gitignored)
+3. Docker Compose `environment:` sections provide service-specific overrides
+4. Shell environment variables have highest precedence
+
+#### Key Points
+
+- All services use hardcoded defaults in docker-compose files (no `${VARIABLE}` substitutions)
+- The `env_file` directive loads variables INTO containers at runtime
+- Backend/Frontend services use YAML anchors for consistent configuration
+- Supabase services (`db/docker/docker-compose.yml`) follow the same pattern
+
+### Common Development Tasks
+
+**Adding a new block:**
+
+1. Create new file in `/backend/backend/blocks/`
+2. Inherit from `Block` base class
+3. Define input/output schemas
+4. Implement `run` method
+5. Register in block registry
+6. Generate the block uuid using `uuid.uuid4()`
+
+Note: when making many new blocks analyze the interfaces for each of these blocks and picture if they would go well together in a graph based editor or would they struggle to connect productively?
+ex: do the inputs and outputs tie well together?
+
+**Modifying the API:**
+
+1. Update route in `/backend/backend/server/routers/`
+2. Add/update Pydantic models in same directory
+3. Write tests alongside the route file
+4. Run `poetry run test` to verify
+
+**Frontend feature development:**
+
+1. Components go in `/frontend/src/components/`
+2. Use existing UI components from `/frontend/src/components/ui/`
+3. Add Storybook stories for new components
+4. Test with Playwright if user-facing
+
+### Security Implementation
+
+**Cache Protection Middleware:**
+
+- Located in `/backend/backend/server/middleware/security.py`
+- Default behavior: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
+- Uses an allow list approach - only explicitly permitted paths can be cached
+- Cacheable paths include: static assets (`/static/*`, `/_next/static/*`), health checks, public store pages, documentation
+- Prevents sensitive data (auth tokens, API keys, user data) from being cached by browsers/proxies
+- To allow caching for a new endpoint, add it to `CACHEABLE_PATHS` in the middleware
+- Applied to both main API server and external API applications
+
+### Creating Pull Requests
+
+- Create the PR aginst the `dev` branch of the repository.
+- Ensure the branch name is descriptive (e.g., `feature/add-new-block`)/
+- Use conventional commit messages (see below)/
+- Fill out the .github/PULL_REQUEST_TEMPLATE.md template as the PR description/
+- Run the github pre-commit hooks to ensure code quality.
+
+### Reviewing/Revising Pull Requests
+
+- When the user runs /pr-comments or tries to fetch them, also run gh api /repos/Significant-Gravitas/AutoGPT/pulls/[issuenum]/reviews to get the reviews
+- Use gh api /repos/Significant-Gravitas/AutoGPT/pulls/[issuenum]/reviews/[review_id]/comments to get the review contents
+- Use gh api /repos/Significant-Gravitas/AutoGPT/issues/9924/comments to get the pr specific comments
+
+### Conventional Commits
+
+Use this format for commit messages and Pull Request titles:
+
+**Conventional Commit Types:**
+
+- `feat`: Introduces a new feature to the codebase
+- `fix`: Patches a bug in the codebase
+- `refactor`: Code change that neither fixes a bug nor adds a feature; also applies to removing features
+- `ci`: Changes to CI configuration
+- `docs`: Documentation-only changes
+- `dx`: Improvements to the developer experience
+
+**Recommended Base Scopes:**
+
+- `platform`: Changes affecting both frontend and backend
+- `frontend`
+- `backend`
+- `infra`
+- `blocks`: Modifications/additions of individual blocks
+
+**Subscope Examples:**
+
+- `backend/executor`
+- `backend/db`
+- `frontend/builder` (includes changes to the block UI component)
+- `infra/prod`
+
+Use these scopes and subscopes for clarity and consistency in commit messages.
diff --git a/autogpt_platform/LICENCE.txt b/autogpt_platform/LICENSE.md
similarity index 100%
rename from autogpt_platform/LICENCE.txt
rename to autogpt_platform/LICENSE.md
diff --git a/autogpt_platform/README.md b/autogpt_platform/README.md
index 64e61e880c06..ee2ff9f75933 100644
--- a/autogpt_platform/README.md
+++ b/autogpt_platform/README.md
@@ -8,60 +8,35 @@ Welcome to the AutoGPT Platform - a powerful system for creating and running AI
 
 - Docker
 - Docker Compose V2 (comes with Docker Desktop, or can be installed separately)
-- Node.js & NPM (for running the frontend application)
 
 ### Running the System
 
 To run the AutoGPT Platform, follow these steps:
 
 1. Clone this repository to your local machine and navigate to the `autogpt_platform` directory within the repository:
+
    ```
    git clone <https://github.com/Significant-Gravitas/AutoGPT.git | git@github.com:Significant-Gravitas/AutoGPT.git>
    cd AutoGPT/autogpt_platform
    ```
 
 2. Run the following command:
-   ```
-   git submodule update --init --recursive
-   ```
-   This command will initialize and update the submodules in the repository. The `supabase` folder will be cloned to the root directory.
 
-3. Run the following command:
    ```
-   cp supabase/docker/.env.example .env
+   cp .env.default .env
    ```
-   This command will copy the `.env.example` file to `.env` in the `supabase/docker` directory. You can modify the `.env` file to add your own environment variables.
 
-4. Run the following command:
-   ```
-   docker compose up -d
-   ```
-   This command will start all the necessary backend services defined in the `docker-compose.yml` file in detached mode.
+   This command will copy the `.env.default` file to `.env`. You can modify the `.env` file to add your own environment variables.
 
-5. Navigate to `frontend` within the `autogpt_platform` directory:
-   ```
-   cd frontend
-   ```
-   You will need to run your frontend application separately on your local machine.
+3. Run the following command:
 
-6. Run the following command: 
    ```
-   cp .env.example .env.local
+   docker compose up -d
    ```
-   This command will copy the `.env.example` file to `.env.local` in the `frontend` directory. You can modify the `.env.local` within this folder to add your own environment variables for the frontend application.
 
-7. Run the following command:
-   ```
-   npm install
-   npm run dev
-   ```
-   This command will install the necessary dependencies and start the frontend application in development mode.
-   If you are using Yarn, you can run the following commands instead:
-   ```
-   yarn install && yarn dev
-   ```
+   This command will start all the necessary backend services defined in the `docker-compose.yml` file in detached mode.
 
-8. Open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
+4. After all the services are in ready state, open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
 
 ### Docker Compose Commands
 
@@ -74,43 +49,52 @@ Here are some useful Docker Compose commands for managing your AutoGPT Platform:
 - `docker compose down`: Stop and remove containers, networks, and volumes.
 - `docker compose watch`: Watch for changes in your services and automatically update them.
 
-
 ### Sample Scenarios
 
 Here are some common scenarios where you might use multiple Docker Compose commands:
 
 1. Updating and restarting a specific service:
+
    ```
    docker compose build api_srv
    docker compose up -d --no-deps api_srv
    ```
+
    This rebuilds the `api_srv` service and restarts it without affecting other services.
 
 2. Viewing logs for troubleshooting:
+
    ```
    docker compose logs -f api_srv ws_srv
    ```
+
    This shows and follows the logs for both `api_srv` and `ws_srv` services.
 
 3. Scaling a service for increased load:
+
    ```
    docker compose up -d --scale executor=3
    ```
+
    This scales the `executor` service to 3 instances to handle increased load.
 
 4. Stopping the entire system for maintenance:
+
    ```
    docker compose stop
    docker compose rm -f
    docker compose pull
    docker compose up -d
    ```
+
    This stops all services, removes containers, pulls the latest images, and restarts the system.
 
 5. Developing with live updates:
+
    ```
    docker compose watch
    ```
+
    This watches for changes in your code and automatically updates the relevant services.
 
 6. Checking the status of services:
@@ -121,7 +105,6 @@ Here are some common scenarios where you might use multiple Docker Compose comma
 
 These scenarios demonstrate how to use Docker Compose commands in combination to manage your AutoGPT Platform effectively.
 
-
 ### Persisting Data
 
 To persist data for PostgreSQL and Redis, you can modify the `docker-compose.yml` file to add volumes. Here's how:
@@ -149,3 +132,28 @@ To persist data for PostgreSQL and Redis, you can modify the `docker-compose.yml
 3. Save the file and run `docker compose up -d` to apply the changes.
 
 This configuration will create named volumes for PostgreSQL and Redis, ensuring that your data persists across container restarts.
+
+### API Client Generation
+
+The platform includes scripts for generating and managing the API client:
+
+- `pnpm fetch:openapi`: Fetches the OpenAPI specification from the backend service (requires backend to be running on port 8006)
+- `pnpm generate:api-client`: Generates the TypeScript API client from the OpenAPI specification using Orval
+- `pnpm generate:api`: Runs both fetch and generate commands in sequence
+
+#### Manual API Client Updates
+
+If you need to update the API client after making changes to the backend API:
+
+1. Ensure the backend services are running:
+
+   ```
+   docker compose up -d
+   ```
+
+2. Generate the updated API client:
+   ```
+   pnpm generate:api
+   ```
+
+This will fetch the latest OpenAPI specification and regenerate the TypeScript client code.
diff --git a/autogpt_platform/autogpt_libs/README.md b/autogpt_platform/autogpt_libs/README.md
index e2d6a5e67e20..6b929f2a4b8c 100644
--- a/autogpt_platform/autogpt_libs/README.md
+++ b/autogpt_platform/autogpt_libs/README.md
@@ -1,3 +1,3 @@
 # AutoGPT Libs
 
-This is a new project to store shared functionality across different services in NextGen AutoGPT (e.g. authentication)
+This is a new project to store shared functionality across different services in the AutoGPT Platform (e.g. authentication)
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/api_key/key_manager.py b/autogpt_platform/autogpt_libs/autogpt_libs/api_key/key_manager.py
index 257250a75393..0ac5f8793c61 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/api_key/key_manager.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/api_key/key_manager.py
@@ -31,4 +31,5 @@ def verify_api_key(self, provided_key: str, stored_hash: str) -> bool:
         """Verify if a provided API key matches the stored hash."""
         if not provided_key.startswith(self.PREFIX):
             return False
-        return hashlib.sha256(provided_key.encode()).hexdigest() == stored_hash
+        provided_hash = hashlib.sha256(provided_key.encode()).hexdigest()
+        return secrets.compare_digest(provided_hash, stored_hash)
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/auth/__init__.py b/autogpt_platform/autogpt_libs/autogpt_libs/auth/__init__.py
index 5090cb4f035d..c1fa9d911352 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/auth/__init__.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/auth/__init__.py
@@ -1,14 +1,13 @@
-from .config import Settings
 from .depends import requires_admin_user, requires_user
 from .jwt_utils import parse_jwt_token
-from .middleware import auth_middleware
+from .middleware import APIKeyValidator, auth_middleware
 from .models import User
 
 __all__ = [
-    "Settings",
     "parse_jwt_token",
     "requires_user",
     "requires_admin_user",
+    "APIKeyValidator",
     "auth_middleware",
     "User",
 ]
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/auth/config.py b/autogpt_platform/autogpt_libs/autogpt_libs/auth/config.py
index 1c7bc182908f..216aefc37d9b 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/auth/config.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/auth/config.py
@@ -1,18 +1,11 @@
 import os
 
-from dotenv import load_dotenv
-
-load_dotenv()
-
 
 class Settings:
-    JWT_SECRET_KEY: str = os.getenv("SUPABASE_JWT_SECRET", "")
-    ENABLE_AUTH: bool = os.getenv("ENABLE_AUTH", "false").lower() == "true"
-    JWT_ALGORITHM: str = "HS256"
-
-    @property
-    def is_configured(self) -> bool:
-        return bool(self.JWT_SECRET_KEY)
+    def __init__(self):
+        self.JWT_SECRET_KEY: str = os.getenv("SUPABASE_JWT_SECRET", "")
+        self.ENABLE_AUTH: bool = os.getenv("ENABLE_AUTH", "false").lower() == "true"
+        self.JWT_ALGORITHM: str = "HS256"
 
 
 settings = Settings()
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py b/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py
index 88409e413cea..d17a03269431 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py
@@ -1,6 +1,6 @@
 import fastapi
 
-from .config import Settings
+from .config import settings
 from .middleware import auth_middleware
 from .models import DEFAULT_USER_ID, User
 
@@ -17,7 +17,7 @@ def requires_admin_user(
 
 def verify_user(payload: dict | None, admin_only: bool) -> User:
     if not payload:
-        if Settings.ENABLE_AUTH:
+        if settings.ENABLE_AUTH:
             raise fastapi.HTTPException(
                 status_code=401, detail="Authorization header is missing"
             )
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/auth/middleware.py b/autogpt_platform/autogpt_libs/autogpt_libs/auth/middleware.py
index 783e1b35beab..68151452d2a1 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/auth/middleware.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/auth/middleware.py
@@ -1,26 +1,29 @@
+import inspect
 import logging
+import secrets
+from typing import Any, Callable, Optional
 
-from fastapi import HTTPException, Request
-from fastapi.security import HTTPBearer
+from fastapi import HTTPException, Request, Security
+from fastapi.security import APIKeyHeader, HTTPBearer
+from starlette.status import HTTP_401_UNAUTHORIZED
 
 from .config import settings
 from .jwt_utils import parse_jwt_token
 
-security = HTTPBearer()
 logger = logging.getLogger(__name__)
+bearer_auth = HTTPBearer(auto_error=False)
 
 
 async def auth_middleware(request: Request):
     if not settings.ENABLE_AUTH:
         # If authentication is disabled, allow the request to proceed
-        logger.warn("Auth disabled")
+        logger.warning("Auth disabled")
         return {}
 
-    security = HTTPBearer()
-    credentials = await security(request)
+    credentials = await bearer_auth(request)
 
     if not credentials:
-        raise HTTPException(status_code=401, detail="Authorization header is missing")
+        raise HTTPException(status_code=401, detail="Not authenticated")
 
     try:
         payload = parse_jwt_token(credentials.credentials)
@@ -29,3 +32,108 @@ async def auth_middleware(request: Request):
     except ValueError as e:
         raise HTTPException(status_code=401, detail=str(e))
     return payload
+
+
+class APIKeyValidator:
+    """
+    Configurable API key validator that supports custom validation functions
+    for FastAPI applications.
+
+    This class provides a flexible way to implement API key authentication with optional
+    custom validation logic. It can be used for simple token matching
+    or more complex validation scenarios like database lookups.
+
+    Examples:
+        Simple token validation:
+        ```python
+        validator = APIKeyValidator(
+            header_name="X-API-Key",
+            expected_token="your-secret-token"
+        )
+
+        @app.get("/protected", dependencies=[Depends(validator.get_dependency())])
+        def protected_endpoint():
+            return {"message": "Access granted"}
+        ```
+
+        Custom validation with database lookup:
+        ```python
+        async def validate_with_db(api_key: str):
+            api_key_obj = await db.get_api_key(api_key)
+            return api_key_obj if api_key_obj and api_key_obj.is_active else None
+
+        validator = APIKeyValidator(
+            header_name="X-API-Key",
+            validate_fn=validate_with_db
+        )
+        ```
+
+    Args:
+        header_name (str): The name of the header containing the API key
+        expected_token (Optional[str]): The expected API key value for simple token matching
+        validate_fn (Optional[Callable]): Custom validation function that takes an API key
+            string and returns a boolean or object. Can be async.
+        error_status (int): HTTP status code to use for validation errors
+        error_message (str): Error message to return when validation fails
+    """
+
+    def __init__(
+        self,
+        header_name: str,
+        expected_token: Optional[str] = None,
+        validate_fn: Optional[Callable[[str], bool]] = None,
+        error_status: int = HTTP_401_UNAUTHORIZED,
+        error_message: str = "Invalid API key",
+    ):
+        # Create the APIKeyHeader as a class property
+        self.security_scheme = APIKeyHeader(name=header_name)
+        self.expected_token = expected_token
+        self.custom_validate_fn = validate_fn
+        self.error_status = error_status
+        self.error_message = error_message
+
+    async def default_validator(self, api_key: str) -> bool:
+        if not self.expected_token:
+            raise ValueError(
+                "Expected Token Required to be set when uisng API Key Validator default validation"
+            )
+        return secrets.compare_digest(api_key, self.expected_token)
+
+    async def __call__(
+        self, request: Request, api_key: str = Security(APIKeyHeader)
+    ) -> Any:
+        if api_key is None:
+            raise HTTPException(status_code=self.error_status, detail="Missing API key")
+
+        # Use custom validation if provided, otherwise use default equality check
+        validator = self.custom_validate_fn or self.default_validator
+        result = (
+            await validator(api_key)
+            if inspect.iscoroutinefunction(validator)
+            else validator(api_key)
+        )
+
+        if not result:
+            raise HTTPException(
+                status_code=self.error_status, detail=self.error_message
+            )
+
+        # Store validation result in request state if it's not just a boolean
+        if result is not True:
+            request.state.api_key = result
+
+        return result
+
+    def get_dependency(self):
+        """
+        Returns a callable dependency that FastAPI will recognize as a security scheme
+        """
+
+        async def validate_api_key(
+            request: Request, api_key: str = Security(self.security_scheme)
+        ) -> Any:
+            return await self(request, api_key)
+
+        # This helps FastAPI recognize it as a security dependency
+        validate_api_key.__name__ = f"validate_{self.security_scheme.model.name}"
+        return validate_api_key
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client.py b/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client.py
deleted file mode 100644
index dde516c1d8fa..000000000000
--- a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client.py
+++ /dev/null
@@ -1,167 +0,0 @@
-import asyncio
-import contextlib
-import logging
-from functools import wraps
-from typing import Any, Awaitable, Callable, Dict, Optional, TypeVar, Union, cast
-
-import ldclient
-from fastapi import HTTPException
-from ldclient import Context, LDClient
-from ldclient.config import Config
-from typing_extensions import ParamSpec
-
-from .config import SETTINGS
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-P = ParamSpec("P")
-T = TypeVar("T")
-
-
-def get_client() -> LDClient:
-    """Get the LaunchDarkly client singleton."""
-    return ldclient.get()
-
-
-def initialize_launchdarkly() -> None:
-    sdk_key = SETTINGS.launch_darkly_sdk_key
-    logger.debug(
-        f"Initializing LaunchDarkly with SDK key: {'present' if sdk_key else 'missing'}"
-    )
-
-    if not sdk_key:
-        logger.warning("LaunchDarkly SDK key not configured")
-        return
-
-    config = Config(sdk_key)
-    ldclient.set_config(config)
-
-    if ldclient.get().is_initialized():
-        logger.info("LaunchDarkly client initialized successfully")
-    else:
-        logger.error("LaunchDarkly client failed to initialize")
-
-
-def shutdown_launchdarkly() -> None:
-    """Shutdown the LaunchDarkly client."""
-    if ldclient.get().is_initialized():
-        ldclient.get().close()
-        logger.info("LaunchDarkly client closed successfully")
-
-
-def create_context(
-    user_id: str, additional_attributes: Optional[Dict[str, Any]] = None
-) -> Context:
-    """Create LaunchDarkly context with optional additional attributes."""
-    builder = Context.builder(str(user_id)).kind("user")
-    if additional_attributes:
-        for key, value in additional_attributes.items():
-            builder.set(key, value)
-    return builder.build()
-
-
-def feature_flag(
-    flag_key: str,
-    default: bool = False,
-) -> Callable[
-    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
-]:
-    """
-    Decorator for feature flag protected endpoints.
-    """
-
-    def decorator(
-        func: Callable[P, Union[T, Awaitable[T]]],
-    ) -> Callable[P, Union[T, Awaitable[T]]]:
-        @wraps(func)
-        async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
-            try:
-                user_id = kwargs.get("user_id")
-                if not user_id:
-                    raise ValueError("user_id is required")
-
-                if not get_client().is_initialized():
-                    logger.warning(
-                        f"LaunchDarkly not initialized, using default={default}"
-                    )
-                    is_enabled = default
-                else:
-                    context = create_context(str(user_id))
-                    is_enabled = get_client().variation(flag_key, context, default)
-
-                if not is_enabled:
-                    raise HTTPException(status_code=404, detail="Feature not available")
-
-                result = func(*args, **kwargs)
-                if asyncio.iscoroutine(result):
-                    return await result
-                return cast(T, result)
-            except Exception as e:
-                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
-                raise
-
-        @wraps(func)
-        def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
-            try:
-                user_id = kwargs.get("user_id")
-                if not user_id:
-                    raise ValueError("user_id is required")
-
-                if not get_client().is_initialized():
-                    logger.warning(
-                        f"LaunchDarkly not initialized, using default={default}"
-                    )
-                    is_enabled = default
-                else:
-                    context = create_context(str(user_id))
-                    is_enabled = get_client().variation(flag_key, context, default)
-
-                if not is_enabled:
-                    raise HTTPException(status_code=404, detail="Feature not available")
-
-                return cast(T, func(*args, **kwargs))
-            except Exception as e:
-                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
-                raise
-
-        return cast(
-            Callable[P, Union[T, Awaitable[T]]],
-            async_wrapper if asyncio.iscoroutinefunction(func) else sync_wrapper,
-        )
-
-    return decorator
-
-
-def percentage_rollout(
-    flag_key: str,
-    default: bool = False,
-) -> Callable[
-    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
-]:
-    """Decorator for percentage-based rollouts."""
-    return feature_flag(flag_key, default)
-
-
-def beta_feature(
-    flag_key: Optional[str] = None,
-    unauthorized_response: Any = {"message": "Not available in beta"},
-) -> Callable[
-    [Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
-]:
-    """Decorator for beta features."""
-    actual_key = f"beta-{flag_key}" if flag_key else "beta"
-    return feature_flag(actual_key, False)
-
-
-@contextlib.contextmanager
-def mock_flag_variation(flag_key: str, return_value: Any):
-    """Context manager for testing feature flags."""
-    original_variation = get_client().variation
-    get_client().variation = lambda key, context, default: (
-        return_value if key == flag_key else original_variation(key, context, default)
-    )
-    try:
-        yield
-    finally:
-        get_client().variation = original_variation
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client_test.py b/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client_test.py
deleted file mode 100644
index 8fccfb28b501..000000000000
--- a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/client_test.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import pytest
-from ldclient import LDClient
-
-from autogpt_libs.feature_flag.client import feature_flag, mock_flag_variation
-
-
-@pytest.fixture
-def ld_client(mocker):
-    client = mocker.Mock(spec=LDClient)
-    mocker.patch("ldclient.get", return_value=client)
-    client.is_initialized.return_value = True
-    return client
-
-
-@pytest.mark.asyncio
-async def test_feature_flag_enabled(ld_client):
-    ld_client.variation.return_value = True
-
-    @feature_flag("test-flag")
-    async def test_function(user_id: str):
-        return "success"
-
-    result = test_function(user_id="test-user")
-    assert result == "success"
-    ld_client.variation.assert_called_once()
-
-
-@pytest.mark.asyncio
-async def test_feature_flag_unauthorized_response(ld_client):
-    ld_client.variation.return_value = False
-
-    @feature_flag("test-flag")
-    async def test_function(user_id: str):
-        return "success"
-
-    result = test_function(user_id="test-user")
-    assert result == {"error": "disabled"}
-
-
-def test_mock_flag_variation(ld_client):
-    with mock_flag_variation("test-flag", True):
-        assert ld_client.variation("test-flag", None, False)
-
-    with mock_flag_variation("test-flag", False):
-        assert ld_client.variation("test-flag", None, False)
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/config.py b/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/config.py
deleted file mode 100644
index e01c285d1e66..000000000000
--- a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/config.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from pydantic import Field
-from pydantic_settings import BaseSettings, SettingsConfigDict
-
-
-class Settings(BaseSettings):
-    launch_darkly_sdk_key: str = Field(
-        default="",
-        description="The Launch Darkly SDK key",
-        validation_alias="LAUNCH_DARKLY_SDK_KEY",
-    )
-
-    model_config = SettingsConfigDict(case_sensitive=True, extra="ignore")
-
-
-SETTINGS = Settings()
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py b/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py
index 10db444247c6..d424e6ba8c7b 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py
@@ -1,6 +1,8 @@
 """Logging module for Auto-GPT."""
 
 import logging
+import os
+import socket
 import sys
 from pathlib import Path
 
@@ -8,7 +10,16 @@
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 from .filters import BelowLevelFilter
-from .formatters import AGPTFormatter, StructuredLoggingFormatter
+from .formatters import AGPTFormatter
+
+# Configure global socket timeout and gRPC keepalive to prevent deadlocks
+# This must be done at import time before any gRPC connections are established
+socket.setdefaulttimeout(30)  # 30-second socket timeout
+
+# Enable gRPC keepalive to detect dead connections faster
+os.environ.setdefault("GRPC_KEEPALIVE_TIME_MS", "30000")  # 30 seconds
+os.environ.setdefault("GRPC_KEEPALIVE_TIMEOUT_MS", "5000")  # 5 seconds
+os.environ.setdefault("GRPC_KEEPALIVE_PERMIT_WITHOUT_CALLS", "true")
 
 LOG_DIR = Path(__file__).parent.parent.parent.parent / "logs"
 LOG_FILE = "activity.log"
@@ -18,7 +29,7 @@
 SIMPLE_LOG_FORMAT = "%(asctime)s %(levelname)s  %(title)s%(message)s"
 
 DEBUG_LOG_FORMAT = (
-    "%(asctime)s %(levelname)s %(filename)s:%(lineno)d" "  %(title)s%(message)s"
+    "%(asctime)s %(levelname)s %(filename)s:%(lineno)d  %(title)s%(message)s"
 )
 
 
@@ -79,46 +90,45 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
     Note: This function is typically called at the start of the application
     to set up the logging infrastructure.
     """
-
     config = LoggingConfig()
-
     log_handlers: list[logging.Handler] = []
 
+    # Console output handlers
+    stdout = logging.StreamHandler(stream=sys.stdout)
+    stdout.setLevel(config.level)
+    stdout.addFilter(BelowLevelFilter(logging.WARNING))
+    if config.level == logging.DEBUG:
+        stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
+    else:
+        stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
+
+    stderr = logging.StreamHandler()
+    stderr.setLevel(logging.WARNING)
+    if config.level == logging.DEBUG:
+        stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
+    else:
+        stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
+
+    log_handlers += [stdout, stderr]
+
     # Cloud logging setup
     if config.enable_cloud_logging or force_cloud_logging:
         import google.cloud.logging
         from google.cloud.logging.handlers import CloudLoggingHandler
-        from google.cloud.logging_v2.handlers.transports.sync import SyncTransport
+        from google.cloud.logging_v2.handlers.transports import (
+            BackgroundThreadTransport,
+        )
 
         client = google.cloud.logging.Client()
+        # Use BackgroundThreadTransport to prevent blocking the main thread
+        # and deadlocks when gRPC calls to Google Cloud Logging hang
         cloud_handler = CloudLoggingHandler(
             client,
             name="autogpt_logs",
-            transport=SyncTransport,
+            transport=BackgroundThreadTransport,
         )
         cloud_handler.setLevel(config.level)
-        cloud_handler.setFormatter(StructuredLoggingFormatter())
         log_handlers.append(cloud_handler)
-        print("Cloud logging enabled")
-    else:
-        # Console output handlers
-        stdout = logging.StreamHandler(stream=sys.stdout)
-        stdout.setLevel(config.level)
-        stdout.addFilter(BelowLevelFilter(logging.WARNING))
-        if config.level == logging.DEBUG:
-            stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
-        else:
-            stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
-
-        stderr = logging.StreamHandler()
-        stderr.setLevel(logging.WARNING)
-        if config.level == logging.DEBUG:
-            stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
-        else:
-            stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
-
-        log_handlers += [stdout, stderr]
-        print("Console logging enabled")
 
     # File logging setup
     if config.enable_file_logging:
@@ -156,7 +166,6 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
         error_log_handler.setLevel(logging.ERROR)
         error_log_handler.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True))
         log_handlers.append(error_log_handler)
-        print("File logging enabled")
 
     # Configure the root logger
     logging.basicConfig(
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/logging/formatters.py b/autogpt_platform/autogpt_libs/autogpt_libs/logging/formatters.py
index cf27bc4667fd..28b998f2cecf 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/logging/formatters.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/logging/formatters.py
@@ -1,7 +1,6 @@
 import logging
 
 from colorama import Fore, Style
-from google.cloud.logging_v2.handlers import CloudLoggingFilter, StructuredLogHandler
 
 from .utils import remove_color_codes
 
@@ -80,16 +79,3 @@ def format(self, record: logging.LogRecord) -> str:
             return remove_color_codes(super().format(record))
         else:
             return super().format(record)
-
-
-class StructuredLoggingFormatter(StructuredLogHandler, logging.Formatter):
-    def __init__(self):
-        # Set up CloudLoggingFilter to add diagnostic info to the log records
-        self.cloud_logging_filter = CloudLoggingFilter()
-
-        # Init StructuredLogHandler
-        super().__init__()
-
-    def format(self, record: logging.LogRecord) -> str:
-        self.cloud_logging_filter.filter(record)
-        return super().format(record)
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/logging/utils.py b/autogpt_platform/autogpt_libs/autogpt_libs/logging/utils.py
index 5c5c09221c32..0b92e2967d3a 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/logging/utils.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/logging/utils.py
@@ -1,27 +1,5 @@
-import logging
 import re
-from typing import Any
-
-from colorama import Fore
 
 
 def remove_color_codes(s: str) -> str:
     return re.sub(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])", "", s)
-
-
-def fmt_kwargs(kwargs: dict) -> str:
-    return ", ".join(f"{n}={repr(v)}" for n, v in kwargs.items())
-
-
-def print_attribute(
-    title: str, value: Any, title_color: str = Fore.GREEN, value_color: str = ""
-) -> None:
-    logger = logging.getLogger()
-    logger.info(
-        str(value),
-        extra={
-            "title": f"{title.rstrip(':')}:",
-            "title_color": title_color,
-            "color": value_color,
-        },
-    )
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/supabase_integration_credentials_store/types.py b/autogpt_platform/autogpt_libs/autogpt_libs/supabase_integration_credentials_store/types.py
new file mode 100644
index 000000000000..04c6fa2a7728
--- /dev/null
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/supabase_integration_credentials_store/types.py
@@ -0,0 +1,76 @@
+from typing import Annotated, Any, Literal, Optional, TypedDict
+from uuid import uuid4
+
+from pydantic import BaseModel, Field, SecretStr, field_serializer
+
+
+class _BaseCredentials(BaseModel):
+    id: str = Field(default_factory=lambda: str(uuid4()))
+    provider: str
+    title: Optional[str]
+
+    @field_serializer("*")
+    def dump_secret_strings(value: Any, _info):
+        if isinstance(value, SecretStr):
+            return value.get_secret_value()
+        return value
+
+
+class OAuth2Credentials(_BaseCredentials):
+    type: Literal["oauth2"] = "oauth2"
+    username: Optional[str]
+    """Username of the third-party service user that these credentials belong to"""
+    access_token: SecretStr
+    access_token_expires_at: Optional[int]
+    """Unix timestamp (seconds) indicating when the access token expires (if at all)"""
+    refresh_token: Optional[SecretStr]
+    refresh_token_expires_at: Optional[int]
+    """Unix timestamp (seconds) indicating when the refresh token expires (if at all)"""
+    scopes: list[str]
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+    def bearer(self) -> str:
+        return f"Bearer {self.access_token.get_secret_value()}"
+
+
+class APIKeyCredentials(_BaseCredentials):
+    type: Literal["api_key"] = "api_key"
+    api_key: SecretStr
+    expires_at: Optional[int]
+    """Unix timestamp (seconds) indicating when the API key expires (if at all)"""
+
+    def bearer(self) -> str:
+        return f"Bearer {self.api_key.get_secret_value()}"
+
+
+Credentials = Annotated[
+    OAuth2Credentials | APIKeyCredentials,
+    Field(discriminator="type"),
+]
+
+
+CredentialsType = Literal["api_key", "oauth2"]
+
+
+class OAuthState(BaseModel):
+    token: str
+    provider: str
+    expires_at: int
+    code_verifier: Optional[str] = None
+    scopes: list[str]
+    """Unix timestamp (seconds) indicating when this OAuth state expires"""
+
+
+class UserMetadata(BaseModel):
+    integration_credentials: list[Credentials] = Field(default_factory=list)
+    integration_oauth_states: list[OAuthState] = Field(default_factory=list)
+
+
+class UserMetadataRaw(TypedDict, total=False):
+    integration_credentials: list[dict]
+    integration_oauth_states: list[dict]
+
+
+class UserIntegrations(BaseModel):
+    credentials: list[Credentials] = Field(default_factory=list)
+    oauth_states: list[OAuthState] = Field(default_factory=list)
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py b/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py
index 5c0241c258cb..23328e46a340 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache.py
@@ -1,20 +1,266 @@
+import inspect
+import logging
 import threading
-from typing import Callable, ParamSpec, TypeVar
+import time
+from functools import wraps
+from typing import (
+    Awaitable,
+    Callable,
+    ParamSpec,
+    Protocol,
+    Tuple,
+    TypeVar,
+    cast,
+    overload,
+    runtime_checkable,
+)
 
 P = ParamSpec("P")
 R = TypeVar("R")
 
+logger = logging.getLogger(__name__)
 
+
+@overload
+def thread_cached(func: Callable[P, Awaitable[R]]) -> Callable[P, Awaitable[R]]:
+    pass
+
+
+@overload
 def thread_cached(func: Callable[P, R]) -> Callable[P, R]:
+    pass
+
+
+def thread_cached(
+    func: Callable[P, R] | Callable[P, Awaitable[R]],
+) -> Callable[P, R] | Callable[P, Awaitable[R]]:
     thread_local = threading.local()
 
-    def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
-        cache = getattr(thread_local, "cache", None)
-        if cache is None:
-            cache = thread_local.cache = {}
-        key = (args, tuple(sorted(kwargs.items())))
-        if key not in cache:
-            cache[key] = func(*args, **kwargs)
-        return cache[key]
+    def _clear():
+        if hasattr(thread_local, "cache"):
+            del thread_local.cache
+
+    if inspect.iscoroutinefunction(func):
+
+        async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+            cache = getattr(thread_local, "cache", None)
+            if cache is None:
+                cache = thread_local.cache = {}
+            key = (args, tuple(sorted(kwargs.items())))
+            if key not in cache:
+                cache[key] = await cast(Callable[P, Awaitable[R]], func)(
+                    *args, **kwargs
+                )
+            return cache[key]
+
+        setattr(async_wrapper, "clear_cache", _clear)
+        return async_wrapper
+
+    else:
+
+        def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+            cache = getattr(thread_local, "cache", None)
+            if cache is None:
+                cache = thread_local.cache = {}
+            key = (args, tuple(sorted(kwargs.items())))
+            if key not in cache:
+                cache[key] = func(*args, **kwargs)
+            return cache[key]
+
+        setattr(sync_wrapper, "clear_cache", _clear)
+        return sync_wrapper
+
+
+def clear_thread_cache(func: Callable) -> None:
+    if clear := getattr(func, "clear_cache", None):
+        clear()
+
+
+FuncT = TypeVar("FuncT")
+
+
+R_co = TypeVar("R_co", covariant=True)
+
+
+@runtime_checkable
+class AsyncCachedFunction(Protocol[P, R_co]):
+    """Protocol for async functions with cache management methods."""
+
+    def cache_clear(self) -> None:
+        """Clear all cached entries."""
+        return None
+
+    def cache_info(self) -> dict[str, int | None]:
+        """Get cache statistics."""
+        return {}
+
+    async def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R_co:
+        """Call the cached function."""
+        return None  # type: ignore
+
+
+def async_ttl_cache(
+    maxsize: int = 128, ttl_seconds: int | None = None
+) -> Callable[[Callable[P, Awaitable[R]]], AsyncCachedFunction[P, R]]:
+    """
+    TTL (Time To Live) cache decorator for async functions.
+
+    Similar to functools.lru_cache but works with async functions and includes optional TTL.
+
+    Args:
+        maxsize: Maximum number of cached entries
+        ttl_seconds: Time to live in seconds. If None, entries never expire (like lru_cache)
+
+    Returns:
+        Decorator function
+
+    Example:
+        # With TTL
+        @async_ttl_cache(maxsize=1000, ttl_seconds=300)
+        async def api_call(param: str) -> dict:
+            return {"result": param}
+
+        # Without TTL (permanent cache like lru_cache)
+        @async_ttl_cache(maxsize=1000)
+        async def expensive_computation(param: str) -> dict:
+            return {"result": param}
+    """
+
+    def decorator(
+        async_func: Callable[P, Awaitable[R]],
+    ) -> AsyncCachedFunction[P, R]:
+        # Cache storage - use union type to handle both cases
+        cache_storage: dict[tuple, R | Tuple[R, float]] = {}
+
+        @wraps(async_func)
+        async def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+            # Create cache key from arguments
+            key = (args, tuple(sorted(kwargs.items())))
+            current_time = time.time()
+
+            # Check if we have a valid cached entry
+            if key in cache_storage:
+                if ttl_seconds is None:
+                    # No TTL - return cached result directly
+                    logger.debug(
+                        f"Cache hit for {async_func.__name__} with key: {str(key)[:50]}"
+                    )
+                    return cast(R, cache_storage[key])
+                else:
+                    # With TTL - check expiration
+                    cached_data = cache_storage[key]
+                    if isinstance(cached_data, tuple):
+                        result, timestamp = cached_data
+                        if current_time - timestamp < ttl_seconds:
+                            logger.debug(
+                                f"Cache hit for {async_func.__name__} with key: {str(key)[:50]}"
+                            )
+                            return cast(R, result)
+                        else:
+                            # Expired entry
+                            del cache_storage[key]
+                            logger.debug(
+                                f"Cache entry expired for {async_func.__name__}"
+                            )
+
+            # Cache miss or expired - fetch fresh data
+            logger.debug(
+                f"Cache miss for {async_func.__name__} with key: {str(key)[:50]}"
+            )
+            result = await async_func(*args, **kwargs)
+
+            # Store in cache
+            if ttl_seconds is None:
+                cache_storage[key] = result
+            else:
+                cache_storage[key] = (result, current_time)
+
+            # Simple cleanup when cache gets too large
+            if len(cache_storage) > maxsize:
+                # Remove oldest entries (simple FIFO cleanup)
+                cutoff = maxsize // 2
+                oldest_keys = list(cache_storage.keys())[:-cutoff] if cutoff > 0 else []
+                for old_key in oldest_keys:
+                    cache_storage.pop(old_key, None)
+                logger.debug(
+                    f"Cache cleanup: removed {len(oldest_keys)} entries for {async_func.__name__}"
+                )
+
+            return result
+
+        # Add cache management methods (similar to functools.lru_cache)
+        def cache_clear() -> None:
+            cache_storage.clear()
+
+        def cache_info() -> dict[str, int | None]:
+            return {
+                "size": len(cache_storage),
+                "maxsize": maxsize,
+                "ttl_seconds": ttl_seconds,
+            }
+
+        # Attach methods to wrapper
+        setattr(wrapper, "cache_clear", cache_clear)
+        setattr(wrapper, "cache_info", cache_info)
+
+        return cast(AsyncCachedFunction[P, R], wrapper)
+
+    return decorator
+
+
+@overload
+def async_cache(
+    func: Callable[P, Awaitable[R]],
+) -> AsyncCachedFunction[P, R]:
+    pass
+
+
+@overload
+def async_cache(
+    func: None = None,
+    *,
+    maxsize: int = 128,
+) -> Callable[[Callable[P, Awaitable[R]]], AsyncCachedFunction[P, R]]:
+    pass
+
+
+def async_cache(
+    func: Callable[P, Awaitable[R]] | None = None,
+    *,
+    maxsize: int = 128,
+) -> (
+    AsyncCachedFunction[P, R]
+    | Callable[[Callable[P, Awaitable[R]]], AsyncCachedFunction[P, R]]
+):
+    """
+    Process-level cache decorator for async functions (no TTL).
+
+    Similar to functools.lru_cache but works with async functions.
+    This is a convenience wrapper around async_ttl_cache with ttl_seconds=None.
+
+    Args:
+        func: The async function to cache (when used without parentheses)
+        maxsize: Maximum number of cached entries
+
+    Returns:
+        Decorated function or decorator
+
+    Example:
+        # Without parentheses (uses default maxsize=128)
+        @async_cache
+        async def get_data(param: str) -> dict:
+            return {"result": param}
 
-    return wrapper
+        # With parentheses and custom maxsize
+        @async_cache(maxsize=1000)
+        async def expensive_computation(param: str) -> dict:
+            # Expensive computation here
+            return {"result": param}
+    """
+    if func is None:
+        # Called with parentheses @async_cache() or @async_cache(maxsize=...)
+        return async_ttl_cache(maxsize=maxsize, ttl_seconds=None)
+    else:
+        # Called without parentheses @async_cache
+        decorator = async_ttl_cache(maxsize=maxsize, ttl_seconds=None)
+        return decorator(func)
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache_test.py b/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache_test.py
new file mode 100644
index 000000000000..e6ca3ecdfd2a
--- /dev/null
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/utils/cache_test.py
@@ -0,0 +1,705 @@
+"""Tests for the @thread_cached decorator.
+
+This module tests the thread-local caching functionality including:
+- Basic caching for sync and async functions
+- Thread isolation (each thread has its own cache)
+- Cache clearing functionality
+- Exception handling (exceptions are not cached)
+- Argument handling (positional vs keyword arguments)
+"""
+
+import asyncio
+import threading
+import time
+from concurrent.futures import ThreadPoolExecutor
+from unittest.mock import Mock
+
+import pytest
+
+from autogpt_libs.utils.cache import (
+    async_cache,
+    async_ttl_cache,
+    clear_thread_cache,
+    thread_cached,
+)
+
+
+class TestThreadCached:
+    def test_sync_function_caching(self):
+        call_count = 0
+
+        @thread_cached
+        def expensive_function(x: int, y: int = 0) -> int:
+            nonlocal call_count
+            call_count += 1
+            return x + y
+
+        assert expensive_function(1, 2) == 3
+        assert call_count == 1
+
+        assert expensive_function(1, 2) == 3
+        assert call_count == 1
+
+        assert expensive_function(1, y=2) == 3
+        assert call_count == 2
+
+        assert expensive_function(2, 3) == 5
+        assert call_count == 3
+
+        assert expensive_function(1) == 1
+        assert call_count == 4
+
+    @pytest.mark.asyncio
+    async def test_async_function_caching(self):
+        call_count = 0
+
+        @thread_cached
+        async def expensive_async_function(x: int, y: int = 0) -> int:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.01)
+            return x + y
+
+        assert await expensive_async_function(1, 2) == 3
+        assert call_count == 1
+
+        assert await expensive_async_function(1, 2) == 3
+        assert call_count == 1
+
+        assert await expensive_async_function(1, y=2) == 3
+        assert call_count == 2
+
+        assert await expensive_async_function(2, 3) == 5
+        assert call_count == 3
+
+    def test_thread_isolation(self):
+        call_count = 0
+        results = {}
+
+        @thread_cached
+        def thread_specific_function(x: int) -> str:
+            nonlocal call_count
+            call_count += 1
+            return f"{threading.current_thread().name}-{x}"
+
+        def worker(thread_id: int):
+            result1 = thread_specific_function(1)
+            result2 = thread_specific_function(1)
+            result3 = thread_specific_function(2)
+            results[thread_id] = (result1, result2, result3)
+
+        with ThreadPoolExecutor(max_workers=3) as executor:
+            futures = [executor.submit(worker, i) for i in range(3)]
+            for future in futures:
+                future.result()
+
+        assert call_count >= 2
+
+        for thread_id, (r1, r2, r3) in results.items():
+            assert r1 == r2
+            assert r1 != r3
+
+    @pytest.mark.asyncio
+    async def test_async_thread_isolation(self):
+        call_count = 0
+        results = {}
+
+        @thread_cached
+        async def async_thread_specific_function(x: int) -> str:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.01)
+            return f"{threading.current_thread().name}-{x}"
+
+        async def async_worker(worker_id: int):
+            result1 = await async_thread_specific_function(1)
+            result2 = await async_thread_specific_function(1)
+            result3 = await async_thread_specific_function(2)
+            results[worker_id] = (result1, result2, result3)
+
+        tasks = [async_worker(i) for i in range(3)]
+        await asyncio.gather(*tasks)
+
+        for worker_id, (r1, r2, r3) in results.items():
+            assert r1 == r2
+            assert r1 != r3
+
+    def test_clear_cache_sync(self):
+        call_count = 0
+
+        @thread_cached
+        def clearable_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            return x * 2
+
+        assert clearable_function(5) == 10
+        assert call_count == 1
+
+        assert clearable_function(5) == 10
+        assert call_count == 1
+
+        clear_thread_cache(clearable_function)
+
+        assert clearable_function(5) == 10
+        assert call_count == 2
+
+    @pytest.mark.asyncio
+    async def test_clear_cache_async(self):
+        call_count = 0
+
+        @thread_cached
+        async def clearable_async_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.01)
+            return x * 2
+
+        assert await clearable_async_function(5) == 10
+        assert call_count == 1
+
+        assert await clearable_async_function(5) == 10
+        assert call_count == 1
+
+        clear_thread_cache(clearable_async_function)
+
+        assert await clearable_async_function(5) == 10
+        assert call_count == 2
+
+    def test_simple_arguments(self):
+        call_count = 0
+
+        @thread_cached
+        def simple_function(a: str, b: int, c: str = "default") -> str:
+            nonlocal call_count
+            call_count += 1
+            return f"{a}-{b}-{c}"
+
+        # First call with all positional args
+        result1 = simple_function("test", 42, "custom")
+        assert call_count == 1
+
+        # Same args, all positional - should hit cache
+        result2 = simple_function("test", 42, "custom")
+        assert call_count == 1
+        assert result1 == result2
+
+        # Same values but last arg as keyword - creates different cache key
+        result3 = simple_function("test", 42, c="custom")
+        assert call_count == 2
+        assert result1 == result3  # Same result, different cache entry
+
+        # Different value - new cache entry
+        result4 = simple_function("test", 43, "custom")
+        assert call_count == 3
+        assert result1 != result4
+
+    def test_positional_vs_keyword_args(self):
+        """Test that positional and keyword arguments create different cache entries."""
+        call_count = 0
+
+        @thread_cached
+        def func(a: int, b: int = 10) -> str:
+            nonlocal call_count
+            call_count += 1
+            return f"result-{a}-{b}"
+
+        # All positional
+        result1 = func(1, 2)
+        assert call_count == 1
+        assert result1 == "result-1-2"
+
+        # Same values, but second arg as keyword
+        result2 = func(1, b=2)
+        assert call_count == 2  # Different cache key!
+        assert result2 == "result-1-2"  # Same result
+
+        # Verify both are cached separately
+        func(1, 2)  # Uses first cache entry
+        assert call_count == 2
+
+        func(1, b=2)  # Uses second cache entry
+        assert call_count == 2
+
+    def test_exception_handling(self):
+        call_count = 0
+
+        @thread_cached
+        def failing_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            if x < 0:
+                raise ValueError("Negative value")
+            return x * 2
+
+        assert failing_function(5) == 10
+        assert call_count == 1
+
+        with pytest.raises(ValueError):
+            failing_function(-1)
+        assert call_count == 2
+
+        with pytest.raises(ValueError):
+            failing_function(-1)
+        assert call_count == 3
+
+        assert failing_function(5) == 10
+        assert call_count == 3
+
+    @pytest.mark.asyncio
+    async def test_async_exception_handling(self):
+        call_count = 0
+
+        @thread_cached
+        async def async_failing_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.01)
+            if x < 0:
+                raise ValueError("Negative value")
+            return x * 2
+
+        assert await async_failing_function(5) == 10
+        assert call_count == 1
+
+        with pytest.raises(ValueError):
+            await async_failing_function(-1)
+        assert call_count == 2
+
+        with pytest.raises(ValueError):
+            await async_failing_function(-1)
+        assert call_count == 3
+
+    def test_sync_caching_performance(self):
+        @thread_cached
+        def slow_function(x: int) -> int:
+            print(f"slow_function called with x={x}")
+            time.sleep(0.1)
+            return x * 2
+
+        start = time.time()
+        result1 = slow_function(5)
+        first_call_time = time.time() - start
+        print(f"First call took {first_call_time:.4f} seconds")
+
+        start = time.time()
+        result2 = slow_function(5)
+        second_call_time = time.time() - start
+        print(f"Second call took {second_call_time:.4f} seconds")
+
+        assert result1 == result2 == 10
+        assert first_call_time > 0.09
+        assert second_call_time < 0.01
+
+    @pytest.mark.asyncio
+    async def test_async_caching_performance(self):
+        @thread_cached
+        async def slow_async_function(x: int) -> int:
+            print(f"slow_async_function called with x={x}")
+            await asyncio.sleep(0.1)
+            return x * 2
+
+        start = time.time()
+        result1 = await slow_async_function(5)
+        first_call_time = time.time() - start
+        print(f"First async call took {first_call_time:.4f} seconds")
+
+        start = time.time()
+        result2 = await slow_async_function(5)
+        second_call_time = time.time() - start
+        print(f"Second async call took {second_call_time:.4f} seconds")
+
+        assert result1 == result2 == 10
+        assert first_call_time > 0.09
+        assert second_call_time < 0.01
+
+    def test_with_mock_objects(self):
+        mock = Mock(return_value=42)
+
+        @thread_cached
+        def function_using_mock(x: int) -> int:
+            return mock(x)
+
+        assert function_using_mock(1) == 42
+        assert mock.call_count == 1
+
+        assert function_using_mock(1) == 42
+        assert mock.call_count == 1
+
+        assert function_using_mock(2) == 42
+        assert mock.call_count == 2
+
+
+class TestAsyncTTLCache:
+    """Tests for the @async_ttl_cache decorator."""
+
+    @pytest.mark.asyncio
+    async def test_basic_caching(self):
+        """Test basic caching functionality."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=60)
+        async def cached_function(x: int, y: int = 0) -> int:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.01)  # Simulate async work
+            return x + y
+
+        # First call
+        result1 = await cached_function(1, 2)
+        assert result1 == 3
+        assert call_count == 1
+
+        # Second call with same args - should use cache
+        result2 = await cached_function(1, 2)
+        assert result2 == 3
+        assert call_count == 1  # No additional call
+
+        # Different args - should call function again
+        result3 = await cached_function(2, 3)
+        assert result3 == 5
+        assert call_count == 2
+
+    @pytest.mark.asyncio
+    async def test_ttl_expiration(self):
+        """Test that cache entries expire after TTL."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=1)  # Short TTL
+        async def short_lived_cache(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            return x * 2
+
+        # First call
+        result1 = await short_lived_cache(5)
+        assert result1 == 10
+        assert call_count == 1
+
+        # Second call immediately - should use cache
+        result2 = await short_lived_cache(5)
+        assert result2 == 10
+        assert call_count == 1
+
+        # Wait for TTL to expire
+        await asyncio.sleep(1.1)
+
+        # Third call after expiration - should call function again
+        result3 = await short_lived_cache(5)
+        assert result3 == 10
+        assert call_count == 2
+
+    @pytest.mark.asyncio
+    async def test_cache_info(self):
+        """Test cache info functionality."""
+
+        @async_ttl_cache(maxsize=5, ttl_seconds=300)
+        async def info_test_function(x: int) -> int:
+            return x * 3
+
+        # Check initial cache info
+        info = info_test_function.cache_info()
+        assert info["size"] == 0
+        assert info["maxsize"] == 5
+        assert info["ttl_seconds"] == 300
+
+        # Add an entry
+        await info_test_function(1)
+        info = info_test_function.cache_info()
+        assert info["size"] == 1
+
+    @pytest.mark.asyncio
+    async def test_cache_clear(self):
+        """Test cache clearing functionality."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=60)
+        async def clearable_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            return x * 4
+
+        # First call
+        result1 = await clearable_function(2)
+        assert result1 == 8
+        assert call_count == 1
+
+        # Second call - should use cache
+        result2 = await clearable_function(2)
+        assert result2 == 8
+        assert call_count == 1
+
+        # Clear cache
+        clearable_function.cache_clear()
+
+        # Third call after clear - should call function again
+        result3 = await clearable_function(2)
+        assert result3 == 8
+        assert call_count == 2
+
+    @pytest.mark.asyncio
+    async def test_maxsize_cleanup(self):
+        """Test that cache cleans up when maxsize is exceeded."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=3, ttl_seconds=60)
+        async def size_limited_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            return x**2
+
+        # Fill cache to maxsize
+        await size_limited_function(1)  # call_count: 1
+        await size_limited_function(2)  # call_count: 2
+        await size_limited_function(3)  # call_count: 3
+
+        info = size_limited_function.cache_info()
+        assert info["size"] == 3
+
+        # Add one more entry - should trigger cleanup
+        await size_limited_function(4)  # call_count: 4
+
+        # Cache size should be reduced (cleanup removes oldest entries)
+        info = size_limited_function.cache_info()
+        assert info["size"] is not None and info["size"] <= 3  # Should be cleaned up
+
+    @pytest.mark.asyncio
+    async def test_argument_variations(self):
+        """Test caching with different argument patterns."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=60)
+        async def arg_test_function(a: int, b: str = "default", *, c: int = 100) -> str:
+            nonlocal call_count
+            call_count += 1
+            return f"{a}-{b}-{c}"
+
+        # Different ways to call with same logical arguments
+        result1 = await arg_test_function(1, "test", c=200)
+        assert call_count == 1
+
+        # Same arguments, same order - should use cache
+        result2 = await arg_test_function(1, "test", c=200)
+        assert call_count == 1
+        assert result1 == result2
+
+        # Different arguments - should call function
+        result3 = await arg_test_function(2, "test", c=200)
+        assert call_count == 2
+        assert result1 != result3
+
+    @pytest.mark.asyncio
+    async def test_exception_handling(self):
+        """Test that exceptions are not cached."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=60)
+        async def exception_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            if x < 0:
+                raise ValueError("Negative value not allowed")
+            return x * 2
+
+        # Successful call - should be cached
+        result1 = await exception_function(5)
+        assert result1 == 10
+        assert call_count == 1
+
+        # Same successful call - should use cache
+        result2 = await exception_function(5)
+        assert result2 == 10
+        assert call_count == 1
+
+        # Exception call - should not be cached
+        with pytest.raises(ValueError):
+            await exception_function(-1)
+        assert call_count == 2
+
+        # Same exception call - should call again (not cached)
+        with pytest.raises(ValueError):
+            await exception_function(-1)
+        assert call_count == 3
+
+    @pytest.mark.asyncio
+    async def test_concurrent_calls(self):
+        """Test caching behavior with concurrent calls."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=60)
+        async def concurrent_function(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.05)  # Simulate work
+            return x * x
+
+        # Launch concurrent calls with same arguments
+        tasks = [concurrent_function(3) for _ in range(5)]
+        results = await asyncio.gather(*tasks)
+
+        # All results should be the same
+        assert all(result == 9 for result in results)
+
+        # Note: Due to race conditions, call_count might be up to 5 for concurrent calls
+        # This tests that the cache doesn't break under concurrent access
+        assert 1 <= call_count <= 5
+
+
+class TestAsyncCache:
+    """Tests for the @async_cache decorator (no TTL)."""
+
+    @pytest.mark.asyncio
+    async def test_basic_caching_no_ttl(self):
+        """Test basic caching functionality without TTL."""
+        call_count = 0
+
+        @async_cache(maxsize=10)
+        async def cached_function(x: int, y: int = 0) -> int:
+            nonlocal call_count
+            call_count += 1
+            await asyncio.sleep(0.01)  # Simulate async work
+            return x + y
+
+        # First call
+        result1 = await cached_function(1, 2)
+        assert result1 == 3
+        assert call_count == 1
+
+        # Second call with same args - should use cache
+        result2 = await cached_function(1, 2)
+        assert result2 == 3
+        assert call_count == 1  # No additional call
+
+        # Third call after some time - should still use cache (no TTL)
+        await asyncio.sleep(0.05)
+        result3 = await cached_function(1, 2)
+        assert result3 == 3
+        assert call_count == 1  # Still no additional call
+
+        # Different args - should call function again
+        result4 = await cached_function(2, 3)
+        assert result4 == 5
+        assert call_count == 2
+
+    @pytest.mark.asyncio
+    async def test_no_ttl_vs_ttl_behavior(self):
+        """Test the difference between TTL and no-TTL caching."""
+        ttl_call_count = 0
+        no_ttl_call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=1)  # Short TTL
+        async def ttl_function(x: int) -> int:
+            nonlocal ttl_call_count
+            ttl_call_count += 1
+            return x * 2
+
+        @async_cache(maxsize=10)  # No TTL
+        async def no_ttl_function(x: int) -> int:
+            nonlocal no_ttl_call_count
+            no_ttl_call_count += 1
+            return x * 2
+
+        # First calls
+        await ttl_function(5)
+        await no_ttl_function(5)
+        assert ttl_call_count == 1
+        assert no_ttl_call_count == 1
+
+        # Wait for TTL to expire
+        await asyncio.sleep(1.1)
+
+        # Second calls after TTL expiry
+        await ttl_function(5)  # Should call function again (TTL expired)
+        await no_ttl_function(5)  # Should use cache (no TTL)
+        assert ttl_call_count == 2  # TTL function called again
+        assert no_ttl_call_count == 1  # No-TTL function still cached
+
+    @pytest.mark.asyncio
+    async def test_async_cache_info(self):
+        """Test cache info for no-TTL cache."""
+
+        @async_cache(maxsize=5)
+        async def info_test_function(x: int) -> int:
+            return x * 3
+
+        # Check initial cache info
+        info = info_test_function.cache_info()
+        assert info["size"] == 0
+        assert info["maxsize"] == 5
+        assert info["ttl_seconds"] is None  # No TTL
+
+        # Add an entry
+        await info_test_function(1)
+        info = info_test_function.cache_info()
+        assert info["size"] == 1
+
+
+class TestTTLOptional:
+    """Tests for optional TTL functionality."""
+
+    @pytest.mark.asyncio
+    async def test_ttl_none_behavior(self):
+        """Test that ttl_seconds=None works like no TTL."""
+        call_count = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=None)
+        async def no_ttl_via_none(x: int) -> int:
+            nonlocal call_count
+            call_count += 1
+            return x**2
+
+        # First call
+        result1 = await no_ttl_via_none(3)
+        assert result1 == 9
+        assert call_count == 1
+
+        # Wait (would expire if there was TTL)
+        await asyncio.sleep(0.1)
+
+        # Second call - should still use cache
+        result2 = await no_ttl_via_none(3)
+        assert result2 == 9
+        assert call_count == 1  # No additional call
+
+        # Check cache info
+        info = no_ttl_via_none.cache_info()
+        assert info["ttl_seconds"] is None
+
+    @pytest.mark.asyncio
+    async def test_cache_options_comparison(self):
+        """Test different cache options work as expected."""
+        ttl_calls = 0
+        no_ttl_calls = 0
+
+        @async_ttl_cache(maxsize=10, ttl_seconds=1)  # With TTL
+        async def ttl_function(x: int) -> int:
+            nonlocal ttl_calls
+            ttl_calls += 1
+            return x * 10
+
+        @async_cache(maxsize=10)  # Process-level cache (no TTL)
+        async def process_function(x: int) -> int:
+            nonlocal no_ttl_calls
+            no_ttl_calls += 1
+            return x * 10
+
+        # Both should cache initially
+        await ttl_function(3)
+        await process_function(3)
+        assert ttl_calls == 1
+        assert no_ttl_calls == 1
+
+        # Immediate second calls - both should use cache
+        await ttl_function(3)
+        await process_function(3)
+        assert ttl_calls == 1
+        assert no_ttl_calls == 1
+
+        # Wait for TTL to expire
+        await asyncio.sleep(1.1)
+
+        # After TTL expiry
+        await ttl_function(3)  # Should call function again
+        await process_function(3)  # Should still use cache
+        assert ttl_calls == 2  # TTL cache expired, called again
+        assert no_ttl_calls == 1  # Process cache never expires
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/utils/synchronize.py b/autogpt_platform/autogpt_libs/autogpt_libs/utils/synchronize.py
index bdd0aa79e634..348ae4d78db3 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/utils/synchronize.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/utils/synchronize.py
@@ -1,15 +1,15 @@
-from contextlib import contextmanager
-from threading import Lock
+import asyncio
+from contextlib import asynccontextmanager
 from typing import TYPE_CHECKING, Any
 
 from expiringdict import ExpiringDict
 
 if TYPE_CHECKING:
-    from redis import Redis
-    from redis.lock import Lock as RedisLock
+    from redis.asyncio import Redis as AsyncRedis
+    from redis.asyncio.lock import Lock as AsyncRedisLock
 
 
-class RedisKeyedMutex:
+class AsyncRedisKeyedMutex:
     """
     This class provides a mutex that can be locked and unlocked by a specific key,
     using Redis as a distributed locking provider.
@@ -17,40 +17,45 @@ class RedisKeyedMutex:
     in case the key is not unlocked for a specified duration, to prevent memory leaks.
     """
 
-    def __init__(self, redis: "Redis", timeout: int | None = 60):
+    def __init__(self, redis: "AsyncRedis", timeout: int | None = 60):
         self.redis = redis
         self.timeout = timeout
-        self.locks: dict[Any, "RedisLock"] = ExpiringDict(
+        self.locks: dict[Any, "AsyncRedisLock"] = ExpiringDict(
             max_len=6000, max_age_seconds=self.timeout
         )
-        self.locks_lock = Lock()
+        self.locks_lock = asyncio.Lock()
 
-    @contextmanager
-    def locked(self, key: Any):
-        lock = self.acquire(key)
+    @asynccontextmanager
+    async def locked(self, key: Any):
+        lock = await self.acquire(key)
         try:
             yield
         finally:
-            lock.release()
+            if (await lock.locked()) and (await lock.owned()):
+                await lock.release()
 
-    def acquire(self, key: Any) -> "RedisLock":
+    async def acquire(self, key: Any) -> "AsyncRedisLock":
         """Acquires and returns a lock with the given key"""
-        with self.locks_lock:
+        async with self.locks_lock:
             if key not in self.locks:
                 self.locks[key] = self.redis.lock(
                     str(key), self.timeout, thread_local=False
                 )
             lock = self.locks[key]
-        lock.acquire()
+        await lock.acquire()
         return lock
 
-    def release(self, key: Any):
-        if lock := self.locks.get(key):
-            lock.release()
+    async def release(self, key: Any):
+        if (
+            (lock := self.locks.get(key))
+            and (await lock.locked())
+            and (await lock.owned())
+        ):
+            await lock.release()
 
-    def release_all_locks(self):
+    async def release_all_locks(self):
         """Call this on process termination to ensure all locks are released"""
-        self.locks_lock.acquire(blocking=False)
-        for lock in self.locks.values():
-            if lock.locked() and lock.owned():
-                lock.release()
+        async with self.locks_lock:
+            for lock in self.locks.values():
+                if (await lock.locked()) and (await lock.owned()):
+                    await lock.release()
diff --git a/autogpt_platform/autogpt_libs/poetry.lock b/autogpt_platform/autogpt_libs/poetry.lock
index 1e830c2972bf..8f160b23df4c 100644
--- a/autogpt_platform/autogpt_libs/poetry.lock
+++ b/autogpt_platform/autogpt_libs/poetry.lock
@@ -1,141 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
-
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.4.0"
-description = "Happy Eyeballs for asyncio"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
-]
-
-[[package]]
-name = "aiohttp"
-version = "3.10.5"
-description = "Async http client/server framework (asyncio)"
-optional = false
-python-versions = ">=3.8"
-files = [
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 [[package]]
 name = "annotated-types"
@@ -143,6 +6,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
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+
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+name = "click"
+version = "8.2.1"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
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 ]
 
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main"]
 files = [
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 ]
 
-[[package]]
-name = "deprecated"
-version = "1.2.14"
-description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-files = [
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-]
-
-[package.dependencies]
-wrapt = ">=1.10,<2"
-
-[package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
-
 [[package]]
 name = "deprecation"
 version = "2.1.0"
 description = "A library to handle automated deprecations"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
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@@ -365,15 +231,20 @@ packaging = "*"
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.2"
+version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
+
 [package.extras]
 test = ["pytest (>=6)"]
 
@@ -383,6 +254,7 @@ version = "1.2.2"
 description = "Dictionary with auto-expiring values for caching purposes"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
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@@ -392,131 +264,73 @@ files = [
 tests = ["coverage", "coveralls", "dill", "mock", "nose"]
 
 [[package]]
-name = "frozenlist"
-version = "1.4.1"
-description = "A list-like structure which implements collections.abc.MutableSequence"
+name = "fastapi"
+version = "0.116.1"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
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 ]
 
+[package.dependencies]
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+starlette = ">=0.40.0,<0.48.0"
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+
 [[package]]
 name = "google-api-core"
-version = "2.19.2"
+version = "2.25.1"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-google-auth = ">=2.14.1,<3.0.dev0"
-googleapis-common-protos = ">=1.56.2,<2.0.dev0"
+google-auth = ">=2.14.1,<3.0.0"
+googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
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-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
 ]
 grpcio-status = [
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-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+]
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+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0"},
 ]
-proto-plus = ">=1.22.3,<2.0.0dev"
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-requests = ">=2.18.0,<3.0.0.dev0"
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+requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
-grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
-grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"]
+grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\""]
+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.34.0"
+version = "2.40.3"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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-    {file = "google_auth-2.34.0.tar.gz", hash = "sha256:8eb87396435c19b20d32abd2f984e31c191a15284af72eb922f10e5bde9c04cc"},
+    {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"},
+    {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"},
 ]
 
 [package.dependencies]
@@ -525,53 +339,62 @@ pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+requests = ["requests (>=2.20.0,<3.0.0)"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+urllib3 = ["packaging", "urllib3"]
 
 [[package]]
 name = "google-cloud-appengine-logging"
-version = "1.4.5"
+version = "1.6.2"
 description = "Google Cloud Appengine Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_cloud_appengine_logging-1.4.5-py2.py3-none-any.whl", hash = "sha256:344e0244404049b42164e4d6dc718ca2c81b393d066956e7cb85fd9407ed9c48"},
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+    {file = "google_cloud_appengine_logging-1.6.2-py3-none-any.whl", hash = "sha256:2b28ed715e92b67e334c6fcfe1deb523f001919560257b25fc8fcda95fd63938"},
+    {file = "google_cloud_appengine_logging-1.6.2.tar.gz", hash = "sha256:4890928464c98da9eecc7bf4e0542eba2551512c0265462c10f3a3d2a6424b90"},
 ]
 
 [package.dependencies]
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-google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
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+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
+proto-plus = [
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0"},
+]
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 [[package]]
 name = "google-cloud-audit-log"
-version = "0.3.0"
+version = "0.3.2"
 description = "Google Cloud Audit Protos"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_cloud_audit_log-0.3.0-py2.py3-none-any.whl", hash = "sha256:8340793120a1d5aa143605def8704ecdcead15106f754ef1381ae3bab533722f"},
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+    {file = "google_cloud_audit_log-0.3.2-py3-none-any.whl", hash = "sha256:daaedfb947a0d77f524e1bd2b560242ab4836fe1afd6b06b92f152b9658554ed"},
+    {file = "google_cloud_audit_log-0.3.2.tar.gz", hash = "sha256:2598f1533a7d7cdd6c7bf448c12e5519c1d53162d78784e10bcdd1df67791bc3"},
 ]
 
 [package.dependencies]
-googleapis-common-protos = ">=1.56.2,<2.0dev"
-protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
+googleapis-common-protos = ">=1.56.2,<2.0.0"
+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
 [[package]]
 name = "google-cloud-core"
-version = "2.4.1"
+version = "2.4.3"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
-    {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
+    {file = "google_cloud_core-2.4.3-py2.py3-none-any.whl", hash = "sha256:5130f9f4c14b4fafdff75c79448f9495cfade0d8775facf1b09c3bf67e027f6e"},
+    {file = "google_cloud_core-2.4.3.tar.gz", hash = "sha256:1fab62d7102844b278fe6dead3af32408b1df3eb06f5c7e8634cbd40edc4da53"},
 ]
 
 [package.dependencies]
@@ -583,219 +406,237 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-logging"
-version = "3.11.3"
+version = "3.12.1"
 description = "Stackdriver Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_cloud_logging-3.11.3-py2.py3-none-any.whl", hash = "sha256:b8ec23f2998f76a58f8492db26a0f4151dd500425c3f08448586b85972f3c494"},
-    {file = "google_cloud_logging-3.11.3.tar.gz", hash = "sha256:0a73cd94118875387d4535371d9e9426861edef8e44fba1261e86782d5b8d54f"},
+    {file = "google_cloud_logging-3.12.1-py2.py3-none-any.whl", hash = "sha256:6817878af76ec4e7568976772839ab2c43ddfd18fbbf2ce32b13ef549cd5a862"},
+    {file = "google_cloud_logging-3.12.1.tar.gz", hash = "sha256:36efc823985055b203904e83e1c8f9f999b3c64270bcda39d57386ca4effd678"},
 ]
 
 [package.dependencies]
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 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.66.1)"]
+protobuf = ["grpcio-tools (>=1.73.1)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.66.1"
+version = "1.73.1"
 description = "Status proto mapping for gRPC"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.66.1"
-protobuf = ">=5.26.1,<6.0dev"
+grpcio = ">=1.73.1"
+protobuf = ">=6.30.0,<7.0.0"
 
 [[package]]
 name = "h11"
-version = "0.14.0"
+version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+groups = ["main"]
 files = [
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 ]
 
 [[package]]
 name = "h2"
-version = "4.1.0"
-description = "HTTP/2 State-Machine based protocol implementation"
+version = "4.2.0"
+description = "Pure-Python HTTP/2 protocol implementation"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
-hpack = ">=4.0,<5"
-hyperframe = ">=6.0,<7"
+hpack = ">=4.1,<5"
+hyperframe = ">=6.1,<7"
 
 [[package]]
 name = "hpack"
-version = "4.0.0"
-description = "Pure-Python HPACK header compression"
+version = "4.1.0"
+description = "Pure-Python HPACK header encoding"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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 ]
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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+    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
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 ]
 
 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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+    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
 ]
 
 [package.dependencies]
@@ -804,10 +645,9 @@ certifi = "*"
 h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -815,253 +655,205 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "hyperframe"
-version = "6.0.1"
-description = "HTTP/2 framing layer for Python"
+version = "6.1.0"
+description = "Pure-Python HTTP/2 framing"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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+    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
+    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
 ]
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
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+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "importlib-metadata"
-version = "8.4.0"
+version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-zipp = ">=0.5"
+zipp = ">=3.20"
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+groups = ["main"]
 files = [
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 ]
 
 [[package]]
-name = "multidict"
-version = "6.1.0"
-description = "multidict implementation"
+name = "launchdarkly-eventsource"
+version = "1.3.0"
+description = "LaunchDarkly SSE Client"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "launchdarkly_eventsource-1.3.0.tar.gz", hash = "sha256:5029199b2c344aee2806bbe8784965e9c0197d052d0bab7e1396a94c159f6bc8"},
+]
+
+[package.dependencies]
+urllib3 = ">=1.26.0,<3"
+
+[[package]]
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 python-versions = ">=3.8"
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+aws-secrets-manager = ["boto3 (>=1.35.0)", "boto3-stubs[secretsmanager]"]
 azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
+gcp-secret-manager = ["google-cloud-secret-manager (>=2.23.1)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
+[[package]]
+name = "pygments"
+version = "2.19.2"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
+    {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
+]
+
+[package.extras]
+windows-terminal = ["colorama (>=0.4.6)"]
+
 [[package]]
 name = "pyjwt"
 version = "2.10.1"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"},
     {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"},
@@ -1258,40 +1074,56 @@ dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pyte
 docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"]
 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
+[[package]]
+name = "pyrfc3339"
+version = "2.0.1"
+description = "Generate and parse RFC 3339 timestamps"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "pyRFC3339-2.0.1-py3-none-any.whl", hash = "sha256:30b70a366acac3df7386b558c21af871522560ed7f3f73cf344b8c2cbb8b0c9d"},
+    {file = "pyrfc3339-2.0.1.tar.gz", hash = "sha256:e47843379ea35c1296c3b6c67a948a1a490ae0584edfcbdea0eaffb5dd29960b"},
+]
+
 [[package]]
 name = "pytest"
-version = "8.3.3"
+version = "8.4.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
-    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
+    {file = "pytest-8.4.1-py3-none-any.whl", hash = "sha256:539c70ba6fcead8e78eebbf1115e8b589e7565830d7d006a8723f19ac8a0afb7"},
+    {file = "pytest-8.4.1.tar.gz", hash = "sha256:7c67fd69174877359ed9371ec3af8a3d2b04741818c51e5e99cc1742251fa93c"},
 ]
 
 [package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
+colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
+iniconfig = ">=1"
+packaging = ">=20"
 pluggy = ">=1.5,<2"
+pygments = ">=2.7.2"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.25.0"
+version = "1.1.0"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "pytest_asyncio-0.25.0-py3-none-any.whl", hash = "sha256:db5432d18eac6b7e28b46dcd9b69921b55c3b1086e85febfe04e70b18d9e81b3"},
-    {file = "pytest_asyncio-0.25.0.tar.gz", hash = "sha256:8c0610303c9e0442a5db8604505fc0f545456ba1528824842b37b4a626cbf609"},
+    {file = "pytest_asyncio-1.1.0-py3-none-any.whl", hash = "sha256:5fe2d69607b0bd75c656d1211f969cadba035030156745ee09e7d71740e58ecf"},
+    {file = "pytest_asyncio-1.1.0.tar.gz", hash = "sha256:796aa822981e01b68c12e4827b8697108f7205020f24b5793b3c41555dab68ea"},
 ]
 
 [package.dependencies]
+backports-asyncio-runner = {version = ">=1.1,<2", markers = "python_version < \"3.11\""}
 pytest = ">=8.2,<9"
 
 [package.extras]
@@ -1300,13 +1132,14 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-mock"
-version = "3.14.0"
+version = "3.14.1"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
-    {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
+    {file = "pytest_mock-3.14.1-py3-none-any.whl", hash = "sha256:178aefcd11307d874b4cd3100344e7e2d888d9791a6a1d9bfe90fbc1b74fd1d0"},
+    {file = "pytest_mock-3.14.1.tar.gz", hash = "sha256:159e9edac4c451ce77a5cdb9fc5d1100708d2dd4ba3c3df572f14097351af80e"},
 ]
 
 [package.dependencies]
@@ -1321,6 +1154,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -1331,13 +1165,14 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.1.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
-    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+    {file = "python_dotenv-1.1.1-py3-none-any.whl", hash = "sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc"},
+    {file = "python_dotenv-1.1.1.tar.gz", hash = "sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab"},
 ]
 
 [package.extras]
@@ -1345,53 +1180,55 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "realtime"
-version = "2.0.2"
+version = "2.5.3"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
-    {file = "realtime-2.0.2-py3-none-any.whl", hash = "sha256:2634c915bc38807f2013f21e8bcc4d2f79870dfd81460ddb9393883d0489928a"},
-    {file = "realtime-2.0.2.tar.gz", hash = "sha256:519da9325b3b8102139d51785013d592f6b2403d81fa21d838a0b0234723ed7d"},
+    {file = "realtime-2.5.3-py3-none-any.whl", hash = "sha256:eb0994636946eff04c4c7f044f980c8c633c7eb632994f549f61053a474ac970"},
+    {file = "realtime-2.5.3.tar.gz", hash = "sha256:0587594f3bc1c84bf007ff625075b86db6528843e03250dc84f4f2808be3d99a"},
 ]
 
 [package.dependencies]
-aiohttp = ">=3.10.2,<4.0.0"
-python-dateutil = ">=2.8.1,<3.0.0"
-typing-extensions = ">=4.12.2,<5.0.0"
-websockets = ">=11,<13"
+typing-extensions = ">=4.14.0,<5.0.0"
+websockets = ">=11,<16"
 
 [[package]]
 name = "redis"
-version = "5.2.1"
+version = "6.2.0"
 description = "Python client for Redis database and key-value store"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "redis-5.2.1-py3-none-any.whl", hash = "sha256:ee7e1056b9aea0f04c6c2ed59452947f34c4940ee025f5dd83e6a6418b6989e4"},
-    {file = "redis-5.2.1.tar.gz", hash = "sha256:16f2e22dff21d5125e8481515e386711a34cbec50f0e44413dd7d9c060a54e0f"},
+    {file = "redis-6.2.0-py3-none-any.whl", hash = "sha256:c8ddf316ee0aab65f04a11229e94a64b2618451dab7a67cb2f77eb799d872d5e"},
+    {file = "redis-6.2.0.tar.gz", hash = "sha256:e821f129b75dde6cb99dd35e5c76e8c49512a5a0d8dfdc560b2fbd44b85ca977"},
 ]
 
 [package.dependencies]
 async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\""}
 
 [package.extras]
-hiredis = ["hiredis (>=3.0.0)"]
-ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==23.2.1)", "requests (>=2.31.0)"]
+hiredis = ["hiredis (>=3.2.0)"]
+jwt = ["pyjwt (>=2.9.0)"]
+ocsp = ["cryptography (>=36.0.1)", "pyopenssl (>=20.0.1)", "requests (>=2.31.0)"]
 
 [[package]]
 name = "requests"
-version = "2.32.3"
+version = "2.32.4"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
-    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
+    {file = "requests-2.32.4-py3-none-any.whl", hash = "sha256:27babd3cda2a6d50b30443204ee89830707d396671944c998b5975b031ac2b2c"},
+    {file = "requests-2.32.4.tar.gz", hash = "sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422"},
 ]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<4"
+charset_normalizer = ">=2,<4"
 idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<3"
 
@@ -1401,13 +1238,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "rsa"
-version = "4.9"
+version = "4.9.1"
 description = "Pure-Python RSA implementation"
 optional = false
-python-versions = ">=3.6,<4"
+python-versions = "<4,>=3.6"
+groups = ["main"]
 files = [
-    {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
-    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
+    {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
+    {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
 ]
 
 [package.dependencies]
@@ -1415,40 +1253,55 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "ruff"
-version = "0.8.3"
+version = "0.12.9"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+files = [
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 ]
 
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
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 ]
 
 [[package]]
@@ -1457,24 +1310,46 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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 ]
 
+[[package]]
+name = "starlette"
+version = "0.47.1"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "starlette-0.47.1.tar.gz", hash = "sha256:aef012dd2b6be325ffa16698f9dc533614fb1cebd593a906b90dc1025529a79b"},
+]
+
+[package.dependencies]
+anyio = ">=3.6.2,<5"
+typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
+
+[package.extras]
+full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
+
 [[package]]
 name = "storage3"
-version = "0.9.0"
+version = "0.12.0"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
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 [package.dependencies]
-httpx = {version = ">=0.26,<0.28", extras = ["http2"]}
+deprecation = ">=2.1.0,<3.0.0"
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
 python-dateutil = ">=2.8.2,<3.0.0"
 
 [[package]]
@@ -1483,6 +1358,7 @@ version = "0.4.15"
 description = "An Enum that inherits from str."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
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@@ -1495,361 +1371,248 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
 
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 name = "supabase"
-version = "2.10.0"
+version = "2.16.0"
 description = "Supabase client for Python."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
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-realtime = ">=2.0.0,<3.0.0"
-storage3 = ">=0.9.0,<0.10.0"
-supafunc = ">=0.7.0,<0.8.0"
+gotrue = ">=2.11.0,<3.0.0"
+httpx = ">=0.26,<0.29"
+postgrest = ">0.19,<1.2"
+realtime = ">=2.4.0,<2.6.0"
+storage3 = ">=0.10,<0.13"
+supafunc = ">=0.9,<0.11"
 
 [[package]]
 name = "supafunc"
-version = "0.7.0"
+version = "0.10.1"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
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 [package.dependencies]
-httpx = {version = ">=0.26,<0.28", extras = ["http2"]}
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+strenum = ">=0.4.15,<0.5.0"
 
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 ]
 
 [[package]]
 name = "typing-extensions"
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+version = "4.14.1"
+description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 ]
 
+[[package]]
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+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+[package.dependencies]
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 [[package]]
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 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
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 [package.extras]
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 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
-name = "websockets"
-version = "12.0"
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-python-versions = ">=3.8"
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+    {file = "websockets-15.0.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:229cf1d3ca6c1804400b0a9790dc66528e08a6a1feec0d5040e8b9eb14422375"},
+    {file = "websockets-15.0.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:756c56e867a90fb00177d530dca4b097dd753cde348448a1012ed6c5131f8b7d"},
+    {file = "websockets-15.0.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:558d023b3df0bffe50a04e710bc87742de35060580a293c2a984299ed83bc4e4"},
+    {file = "websockets-15.0.1-cp313-cp313-win32.whl", hash = "sha256:ba9e56e8ceeeedb2e080147ba85ffcd5cd0711b89576b83784d8605a7df455fa"},
+    {file = "websockets-15.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:e09473f095a819042ecb2ab9465aee615bd9c2028e4ef7d933600a8401c79561"},
+    {file = "websockets-15.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5f4c04ead5aed67c8a1a20491d54cdfba5884507a48dd798ecaf13c74c4489f5"},
+    {file = "websockets-15.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:abdc0c6c8c648b4805c5eacd131910d2a7f6455dfd3becab248ef108e89ab16a"},
+    {file = "websockets-15.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a625e06551975f4b7ea7102bc43895b90742746797e2e14b70ed61c43a90f09b"},
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+    {file = "websockets-15.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac017dd64572e5c3bd01939121e4d16cf30e5d7e110a119399cf3133b63ad054"},
+    {file = "websockets-15.0.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:4a9fac8e469d04ce6c25bb2610dc535235bd4aa14996b4e6dbebf5e007eba5ee"},
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+    {file = "websockets-15.0.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:2034693ad3097d5355bfdacfffcbd3ef5694f9718ab7f29c29689a9eae841880"},
+    {file = "websockets-15.0.1-cp39-cp39-win32.whl", hash = "sha256:3b1ac0d3e594bf121308112697cf4b32be538fb1444468fb0a6ae4feebc83411"},
+    {file = "websockets-15.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:b7643a03db5c95c799b89b31c036d5f27eeb4d259c798e878d6937d71832b1e4"},
+    {file = "websockets-15.0.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0c9e74d766f2818bb95f84c25be4dea09841ac0f734d1966f415e4edfc4ef1c3"},
+    {file = "websockets-15.0.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1009ee0c7739c08a0cd59de430d6de452a55e42d6b522de7aa15e6f67db0b8e1"},
+    {file = "websockets-15.0.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76d1f20b1c7a2fa82367e04982e708723ba0e7b8d43aa643d3dcd404d74f1475"},
+    {file = "websockets-15.0.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f29d80eb9a9263b8d109135351caf568cc3f80b9928bccde535c235de55c22d9"},
+    {file = "websockets-15.0.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b359ed09954d7c18bbc1680f380c7301f92c60bf924171629c5db97febb12f04"},
+    {file = "websockets-15.0.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:cad21560da69f4ce7658ca2cb83138fb4cf695a2ba3e475e0559e05991aa8122"},
+    {file = "websockets-15.0.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7f493881579c90fc262d9cdbaa05a6b54b3811c2f300766748db79f098db9940"},
+    {file = "websockets-15.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:47b099e1f4fbc95b701b6e85768e1fcdaf1630f3cbe4765fa216596f12310e2e"},
+    {file = "websockets-15.0.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:67f2b6de947f8c757db2db9c71527933ad0019737ec374a8a6be9a956786aaf9"},
+    {file = "websockets-15.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d08eb4c2b7d6c41da6ca0600c077e93f5adcfd979cd777d747e9ee624556da4b"},
+    {file = "websockets-15.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b826973a4a2ae47ba357e4e82fa44a463b8f168e1ca775ac64521442b19e87f"},
+    {file = "websockets-15.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:21c1fa28a6a7e3cbdc171c694398b6df4744613ce9b36b1a498e816787e28123"},
+    {file = "websockets-15.0.1-py3-none-any.whl", hash = "sha256:f7a866fbc1e97b5c617ee4116daaa09b722101d4a3c170c787450ba409f9736f"},
+    {file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"},
+]
 
 [[package]]
 name = "zipp"
-version = "3.20.1"
+version = "3.23.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
-    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.10,<4.0"
-content-hash = "13a36d3be675cab4a3eb2e6a62a1b08df779bded4c7b9164d8be300dc08748d0"
+content-hash = "4cc687aabe5865665fb8c4ccc0ea7e0af80b41e401ca37919f57efa6e0b5be00"
diff --git a/autogpt_platform/autogpt_libs/pyproject.toml b/autogpt_platform/autogpt_libs/pyproject.toml
index 88e75f0bef6c..4cc29e34a762 100644
--- a/autogpt_platform/autogpt_libs/pyproject.toml
+++ b/autogpt_platform/autogpt_libs/pyproject.toml
@@ -1,27 +1,29 @@
 [tool.poetry]
 name = "autogpt-libs"
 version = "0.2.0"
-description = "Shared libraries across NextGen AutoGPT"
-authors = ["Aarushi <aarushik93@gmail.com>"]
+description = "Shared libraries across AutoGPT Platform"
+authors = ["AutoGPT team <info@agpt.co>"]
 readme = "README.md"
 packages = [{ include = "autogpt_libs" }]
 
 [tool.poetry.dependencies]
+python = ">=3.10,<4.0"
 colorama = "^0.4.6"
 expiringdict = "^1.2.2"
-google-cloud-logging = "^3.11.3"
-pydantic = "^2.10.3"
-pydantic-settings = "^2.7.0"
+fastapi = "^0.116.1"
+google-cloud-logging = "^3.12.1"
+launchdarkly-server-sdk = "^9.12.0"
+pydantic = "^2.11.7"
+pydantic-settings = "^2.10.1"
 pyjwt = "^2.10.1"
-pytest-asyncio = "^0.25.0"
-pytest-mock = "^3.14.0"
-python = ">=3.10,<4.0"
-python-dotenv = "^1.0.1"
-supabase = "^2.10.0"
+pytest-asyncio = "^1.1.0"
+pytest-mock = "^3.14.1"
+redis = "^6.2.0"
+supabase = "^2.16.0"
+uvicorn = "^0.35.0"
 
 [tool.poetry.group.dev.dependencies]
-redis = "^5.2.1"
-ruff = "^0.8.3"
+ruff = "^0.12.9"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/autogpt_platform/backend/.dockerignore b/autogpt_platform/backend/.dockerignore
new file mode 100644
index 000000000000..e66c25e657c8
--- /dev/null
+++ b/autogpt_platform/backend/.dockerignore
@@ -0,0 +1,52 @@
+# Development and testing files
+**/__pycache__
+**/*.pyc
+**/*.pyo
+**/*.pyd
+**/.Python
+**/env/
+**/venv/
+**/.venv/
+**/pip-log.txt
+**/.pytest_cache/
+**/test-results/
+**/snapshots/
+**/test/
+
+# IDE and editor files
+**/.vscode/
+**/.idea/
+**/*.swp
+**/*.swo
+*~
+
+# OS files
+.DS_Store
+Thumbs.db
+
+# Logs
+**/*.log
+**/logs/
+
+# Git
+.git/
+.gitignore
+
+# Documentation
+**/*.md
+!README.md
+
+# Local development files
+.env
+.env.local
+**/.env.test
+
+# Build artifacts
+**/dist/
+**/build/
+**/target/
+
+# Docker files (avoid recursion)
+Dockerfile*
+docker-compose*
+.dockerignore
\ No newline at end of file
diff --git a/autogpt_platform/backend/.env.default b/autogpt_platform/backend/.env.default
new file mode 100644
index 000000000000..bcec6bf0a34d
--- /dev/null
+++ b/autogpt_platform/backend/.env.default
@@ -0,0 +1,178 @@
+# Backend Configuration
+# This file contains environment variables that MUST be set for the AutoGPT platform
+# Variables with working defaults in settings.py are not included here
+
+## ===== REQUIRED DATABASE CONFIGURATION ===== ##
+# PostgreSQL Database Connection
+DB_USER=postgres
+DB_PASS=your-super-secret-and-long-postgres-password
+DB_NAME=postgres
+DB_PORT=5432
+DB_HOST=localhost
+DB_CONNECTION_LIMIT=12
+DB_CONNECT_TIMEOUT=60
+DB_POOL_TIMEOUT=300
+DB_SCHEMA=platform
+DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@${DB_HOST}:${DB_PORT}/${DB_NAME}?schema=${DB_SCHEMA}&connect_timeout=${DB_CONNECT_TIMEOUT}"
+DIRECT_URL="postgresql://${DB_USER}:${DB_PASS}@${DB_HOST}:${DB_PORT}/${DB_NAME}?schema=${DB_SCHEMA}&connect_timeout=${DB_CONNECT_TIMEOUT}"
+PRISMA_SCHEMA="postgres/schema.prisma"
+ENABLE_AUTH=true
+
+## ===== REQUIRED SERVICE CREDENTIALS ===== ##
+# Redis Configuration
+REDIS_HOST=localhost
+REDIS_PORT=6379
+REDIS_PASSWORD=password
+
+# RabbitMQ Credentials
+RABBITMQ_DEFAULT_USER=rabbitmq_user_default
+RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
+
+# Supabase Authentication
+SUPABASE_URL=http://localhost:8000
+SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
+
+## ===== REQUIRED SECURITY KEYS ===== ##
+# Generate using: from cryptography.fernet import Fernet;Fernet.generate_key().decode()
+ENCRYPTION_KEY=dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=
+UNSUBSCRIBE_SECRET_KEY=HlP8ivStJjmbf6NKi78m_3FnOogut0t5ckzjsIqeaio=
+
+## ===== IMPORTANT OPTIONAL CONFIGURATION ===== ##
+# Platform URLs (set these for webhooks and OAuth to work)
+PLATFORM_BASE_URL=http://localhost:8000
+FRONTEND_BASE_URL=http://localhost:3000
+
+# Media Storage (required for marketplace and library functionality)
+MEDIA_GCS_BUCKET_NAME=
+
+## ===== API KEYS AND OAUTH CREDENTIALS ===== ##
+# All API keys below are optional - only add what you need
+
+# AI/LLM Services
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+GROQ_API_KEY=
+LLAMA_API_KEY=
+AIML_API_KEY=
+V0_API_KEY=
+OPEN_ROUTER_API_KEY=
+NVIDIA_API_KEY=
+
+# OAuth Credentials
+# For the OAuth callback URL, use <your_frontend_url>/auth/integrations/oauth_callback,
+# e.g. http://localhost:3000/auth/integrations/oauth_callback
+
+# GitHub OAuth App server credentials - https://github.com/settings/developers
+GITHUB_CLIENT_ID=
+GITHUB_CLIENT_SECRET=
+
+# Google OAuth App server credentials - https://console.cloud.google.com/apis/credentials, and enable gmail api and set scopes
+# https://console.cloud.google.com/apis/credentials/consent ?project=<your_project_id>
+# You'll need to add/enable the following scopes (minimum):
+# https://console.developers.google.com/apis/api/gmail.googleapis.com/overview ?project=<your_project_id>
+# https://console.cloud.google.com/apis/library/sheets.googleapis.com/ ?project=<your_project_id>
+GOOGLE_CLIENT_ID=
+GOOGLE_CLIENT_SECRET=
+
+# Twitter (X) OAuth 2.0 with PKCE Configuration
+# 1. Create a Twitter Developer Account:
+#    - Visit https://developer.x.com/en and sign up
+# 2. Set up your application:
+#    - Navigate to Developer Portal > Projects > Create Project
+#    - Add a new app to your project
+# 3. Configure app settings:
+#    - App Permissions: Read + Write + Direct Messages
+#    - App Type: Web App, Automated App or Bot
+#    - OAuth 2.0 Callback URL: http://localhost:3000/auth/integrations/oauth_callback
+#    - Save your Client ID and Client Secret below
+TWITTER_CLIENT_ID=
+TWITTER_CLIENT_SECRET=
+
+# Linear App
+# Make a new workspace for your OAuth APP -- trust me
+# https://linear.app/settings/api/applications/new
+# Callback URL: http://localhost:3000/auth/integrations/oauth_callback
+LINEAR_CLIENT_ID=
+LINEAR_CLIENT_SECRET=
+
+# To obtain Todoist API credentials:
+# 1. Create a Todoist account at todoist.com
+# 2. Visit the Developer Console: https://developer.todoist.com/appconsole.html
+# 3. Click "Create new app"
+# 4. Once created, copy your Client ID and Client Secret below
+TODOIST_CLIENT_ID=
+TODOIST_CLIENT_SECRET=
+
+NOTION_CLIENT_ID=
+NOTION_CLIENT_SECRET=
+
+# Discord OAuth App credentials
+# 1. Go to https://discord.com/developers/applications
+# 2. Create a new application
+# 3. Go to OAuth2 section and add redirect URI: http://localhost:3000/auth/integrations/oauth_callback
+# 4. Copy Client ID and Client Secret below
+DISCORD_CLIENT_ID=
+DISCORD_CLIENT_SECRET=
+
+REDDIT_CLIENT_ID=
+REDDIT_CLIENT_SECRET=
+
+# Payment Processing
+STRIPE_API_KEY=
+STRIPE_WEBHOOK_SECRET=
+
+# Email Service (for sending notifications and confirmations)
+POSTMARK_SERVER_API_TOKEN=
+POSTMARK_SENDER_EMAIL=invalid@invalid.com
+POSTMARK_WEBHOOK_TOKEN=
+
+# Error Tracking
+SENTRY_DSN=
+
+# Cloudflare Turnstile (CAPTCHA) Configuration
+# Get these from the Cloudflare Turnstile dashboard: https://dash.cloudflare.com/?to=/:account/turnstile
+# This is the backend secret key
+TURNSTILE_SECRET_KEY=
+# This is the verify URL
+TURNSTILE_VERIFY_URL=https://challenges.cloudflare.com/turnstile/v0/siteverify
+
+# Feature Flags
+LAUNCH_DARKLY_SDK_KEY=
+
+# Content Generation & Media
+DID_API_KEY=
+FAL_API_KEY=
+IDEOGRAM_API_KEY=
+REPLICATE_API_KEY=
+REVID_API_KEY=
+SCREENSHOTONE_API_KEY=
+UNREAL_SPEECH_API_KEY=
+
+# Data & Search Services
+E2B_API_KEY=
+EXA_API_KEY=
+JINA_API_KEY=
+MEM0_API_KEY=
+OPENWEATHERMAP_API_KEY=
+GOOGLE_MAPS_API_KEY=
+
+# Communication Services
+DISCORD_BOT_TOKEN=
+MEDIUM_API_KEY=
+MEDIUM_AUTHOR_ID=
+SMTP_SERVER=
+SMTP_PORT=
+SMTP_USERNAME=
+SMTP_PASSWORD=
+
+# Business & Marketing Tools
+APOLLO_API_KEY=
+ENRICHLAYER_API_KEY=
+AYRSHARE_API_KEY=
+AYRSHARE_JWT_KEY=
+SMARTLEAD_API_KEY=
+ZEROBOUNCE_API_KEY=
+
+# Other Services
+AUTOMOD_API_KEY=
\ No newline at end of file
diff --git a/autogpt_platform/backend/.env.example b/autogpt_platform/backend/.env.example
deleted file mode 100644
index 0dd10e838501..000000000000
--- a/autogpt_platform/backend/.env.example
+++ /dev/null
@@ -1,114 +0,0 @@
-DB_USER=postgres
-DB_PASS=your-super-secret-and-long-postgres-password
-DB_NAME=postgres
-DB_PORT=5432
-DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@localhost:${DB_PORT}/${DB_NAME}?connect_timeout=60&schema=platform"
-PRISMA_SCHEMA="postgres/schema.prisma"
-
-BACKEND_CORS_ALLOW_ORIGINS=["http://localhost:3000"]
-
-# generate using `from cryptography.fernet import Fernet;Fernet.generate_key().decode()`
-ENCRYPTION_KEY='dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw='
-
-REDIS_HOST=localhost
-REDIS_PORT=6379
-REDIS_PASSWORD=password
-
-ENABLE_CREDIT=false
-# What environment things should be logged under: local dev or prod
-APP_ENV=local
-# What environment to behave as: "local" or "cloud"
-BEHAVE_AS=local
-PYRO_HOST=localhost
-SENTRY_DSN=
-
-## User auth with Supabase is required for any of the 3rd party integrations with auth to work.
-ENABLE_AUTH=true
-SUPABASE_URL=http://localhost:8000
-SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
-SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-
-## For local development, you may need to set FRONTEND_BASE_URL for the OAuth flow
-## for integrations to work. Defaults to the value of PLATFORM_BASE_URL if not set.
-# FRONTEND_BASE_URL=http://localhost:3000
-
-## PLATFORM_BASE_URL must be set to a *publicly accessible* URL pointing to your backend
-## to use the platform's webhook-related functionality.
-## If you are developing locally, you can use something like ngrok to get a publc URL
-## and tunnel it to your locally running backend.
-PLATFORM_BASE_URL=https://your-public-url-here
-
-## == INTEGRATION CREDENTIALS == ##
-# Each set of server side credentials is required for the corresponding 3rd party
-# integration to work.
-
-# For the OAuth callback URL, use <your_frontend_url>/auth/integrations/oauth_callback,
-# e.g. http://localhost:3000/auth/integrations/oauth_callback
-
-# GitHub OAuth App server credentials - https://github.com/settings/developers
-GITHUB_CLIENT_ID=
-GITHUB_CLIENT_SECRET=
-
-# Google OAuth App server credentials - https://console.cloud.google.com/apis/credentials, and enable gmail api and set scopes
-# https://console.cloud.google.com/apis/credentials/consent ?project=<your_project_id>
-
-# You'll need to add/enable the following scopes (minimum):
-# https://console.developers.google.com/apis/api/gmail.googleapis.com/overview ?project=<your_project_id>
-# https://console.cloud.google.com/apis/library/sheets.googleapis.com/ ?project=<your_project_id>
-GOOGLE_CLIENT_ID=
-GOOGLE_CLIENT_SECRET=
-
-## ===== OPTIONAL API KEYS ===== ##
-
-# LLM
-OPENAI_API_KEY=
-ANTHROPIC_API_KEY=
-GROQ_API_KEY=
-OPEN_ROUTER_API_KEY=
-
-# Reddit
-REDDIT_CLIENT_ID=
-REDDIT_CLIENT_SECRET=
-REDDIT_USERNAME=
-REDDIT_PASSWORD=
-
-# Discord
-DISCORD_BOT_TOKEN=
-
-# SMTP/Email
-SMTP_SERVER=
-SMTP_PORT=
-SMTP_USERNAME=
-SMTP_PASSWORD=
-
-# D-ID
-DID_API_KEY=
-
-# Open Weather Map
-OPENWEATHERMAP_API_KEY=
-
-# SMTP
-SMTP_SERVER=
-SMTP_PORT=
-SMTP_USERNAME=
-SMTP_PASSWORD=
-
-# Medium
-MEDIUM_API_KEY=
-MEDIUM_AUTHOR_ID=
-
-# Google Maps
-GOOGLE_MAPS_API_KEY=
-
-# Replicate
-REPLICATE_API_KEY=
-
-# Ideogram
-IDEOGRAM_API_KEY=
-
-# Logging Configuration
-LOG_LEVEL=INFO
-ENABLE_CLOUD_LOGGING=false
-ENABLE_FILE_LOGGING=false
-# Use to manually set the log directory
-# LOG_DIR=./logs
diff --git a/autogpt_platform/backend/.gitignore b/autogpt_platform/backend/.gitignore
index 1ce7f628ee1b..197d29072b1b 100644
--- a/autogpt_platform/backend/.gitignore
+++ b/autogpt_platform/backend/.gitignore
@@ -1,3 +1,4 @@
+.env
 database.db
 database.db-journal
 dev.db
diff --git a/autogpt_platform/backend/Dockerfile b/autogpt_platform/backend/Dockerfile
index 22b9d9bb0bd0..103812118775 100644
--- a/autogpt_platform/backend/Dockerfile
+++ b/autogpt_platform/backend/Dockerfile
@@ -1,68 +1,69 @@
-FROM python:3.11.10-slim-bookworm AS builder
+FROM debian:13-slim AS builder
 
 # Set environment variables
-ENV PYTHONDONTWRITEBYTECODE 1
-ENV PYTHONUNBUFFERED 1
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+ENV DEBIAN_FRONTEND=noninteractive
 
 WORKDIR /app
 
 RUN echo 'Acquire::http::Pipeline-Depth 0;\nAcquire::http::No-Cache true;\nAcquire::BrokenProxy true;\n' > /etc/apt/apt.conf.d/99fixbadproxy
 
-RUN apt-get update --allow-releaseinfo-change --fix-missing
+# Update package list and install Python and build dependencies
+RUN apt-get update --allow-releaseinfo-change --fix-missing \
+    && apt-get install -y \
+    python3.13 \
+    python3.13-dev \
+    python3.13-venv \
+    python3-pip \
+    build-essential \
+    libpq5 \
+    libz-dev \
+    libssl-dev \
+    postgresql-client
 
-# Install build dependencies
-RUN apt-get install -y build-essential 
-RUN apt-get install -y libpq5
-RUN apt-get install -y libz-dev
-RUN apt-get install -y libssl-dev
-RUN apt-get install -y postgresql-client
-
-ENV POETRY_VERSION=1.8.3
 ENV POETRY_HOME=/opt/poetry
 ENV POETRY_NO_INTERACTION=1
-ENV POETRY_VIRTUALENVS_CREATE=false
+ENV POETRY_VIRTUALENVS_CREATE=true
+ENV POETRY_VIRTUALENVS_IN_PROJECT=true
 ENV PATH=/opt/poetry/bin:$PATH
-    
-# Upgrade pip and setuptools to fix security vulnerabilities
-RUN pip3 install --upgrade pip setuptools
 
-RUN pip3 install poetry
+RUN pip3 install poetry --break-system-packages
 
 # Copy and install dependencies
 COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
 COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
 WORKDIR /app/autogpt_platform/backend
-RUN poetry config virtualenvs.create false \
-    && poetry install --no-interaction --no-ansi
+RUN poetry install --no-ansi --no-root
 
 # Generate Prisma client
 COPY autogpt_platform/backend/schema.prisma ./
-RUN poetry config virtualenvs.create false \
-    && poetry run prisma generate
+RUN poetry run prisma generate
 
-FROM python:3.11.10-slim-bookworm AS server_dependencies
+FROM debian:13-slim AS server_dependencies
 
 WORKDIR /app
 
-ENV POETRY_VERSION=1.8.3
-ENV POETRY_HOME=/opt/poetry
-ENV POETRY_NO_INTERACTION=1
-ENV POETRY_VIRTUALENVS_CREATE=false
+ENV POETRY_HOME=/opt/poetry \
+    POETRY_NO_INTERACTION=1 \
+    POETRY_VIRTUALENVS_CREATE=true \
+    POETRY_VIRTUALENVS_IN_PROJECT=true \
+    DEBIAN_FRONTEND=noninteractive
 ENV PATH=/opt/poetry/bin:$PATH
 
-
-# Upgrade pip and setuptools to fix security vulnerabilities
-RUN pip3 install --upgrade pip setuptools
+# Install Python without upgrading system-managed packages
+RUN apt-get update && apt-get install -y \
+    python3.13 \
+    python3-pip
 
 # Copy only necessary files from builder
 COPY --from=builder /app /app
-COPY --from=builder /usr/local/lib/python3.11 /usr/local/lib/python3.11
-COPY --from=builder /usr/local/bin /usr/local/bin
+COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
+COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
 # Copy Prisma binaries
 COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
 
-
-ENV PATH="/app/.venv/bin:$PATH"
+ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
 
 RUN mkdir -p /app/autogpt_platform/autogpt_libs
 RUN mkdir -p /app/autogpt_platform/backend
@@ -73,11 +74,17 @@ COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.tom
 
 WORKDIR /app/autogpt_platform/backend
 
+FROM server_dependencies AS migrate
+
+# Migration stage only needs schema and migrations - much lighter than full backend
+COPY autogpt_platform/backend/schema.prisma /app/autogpt_platform/backend/
+COPY autogpt_platform/backend/migrations /app/autogpt_platform/backend/migrations
+
 FROM server_dependencies AS server
 
 COPY autogpt_platform/backend /app/autogpt_platform/backend
+RUN poetry install --no-ansi --only-root
 
-ENV DATABASE_URL=""
 ENV PORT=8000
 
 CMD ["poetry", "run", "rest"]
diff --git a/autogpt_platform/backend/README.advanced.md b/autogpt_platform/backend/README.advanced.md
index 09e0f90fcc25..5d5333e1340d 100644
--- a/autogpt_platform/backend/README.advanced.md
+++ b/autogpt_platform/backend/README.advanced.md
@@ -1,75 +1 @@
-# AutoGPT Agent Server Advanced set up
-
-This guide walks you through a dockerized set up, with an external DB (postgres)
-
-## Setup
-
-We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
-
-0. Install Poetry
-    ```sh
-    pip install poetry
-    ```
-    
-1. Configure Poetry to use .venv in your project directory
-    ```sh
-    poetry config virtualenvs.in-project true
-    ```
-
-2. Enter the poetry shell
-
-   ```sh
-   poetry shell
-   ```
-   
-3. Install dependencies
-
-   ```sh
-   poetry install
-   ```
-   
-4. Copy .env.example to .env
-
-   ```sh
-   cp .env.example .env
-   ```
-
-5. Generate the Prisma client
-
-   ```sh
-   poetry run prisma generate
-   ```
-   
-
-   > In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
-   >
-   > ```sh
-   > pip uninstall prisma
-   > ```
-   >
-   > Then run the generation again. The path *should* look something like this:  
-   > `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
-
-6. Run the postgres database from the /rnd folder
-
-   ```sh
-   cd autogpt_platform/
-   docker compose up -d
-   ```
-
-7. Run the migrations (from the backend folder)
-
-   ```sh
-   cd ../backend
-   prisma migrate deploy
-   ```
-
-## Running The Server
-
-### Starting the server directly
-
-Run the following command:
-
-```sh
-poetry run app
-```
+[Advanced Setup (Dev Branch)](https://dev-docs.agpt.co/platform/advanced_setup/#autogpt_agent_server_advanced_set_up)
\ No newline at end of file
diff --git a/autogpt_platform/backend/README.md b/autogpt_platform/backend/README.md
index c76fe40ba419..d8c275e7b6fa 100644
--- a/autogpt_platform/backend/README.md
+++ b/autogpt_platform/backend/README.md
@@ -1,203 +1 @@
-# AutoGPT Agent Server 
-
-This is an initial project for creating the next generation of agent execution, which is an AutoGPT agent server.
-The agent server will enable the creation of composite multi-agent systems that utilize AutoGPT agents and other non-agent components as its primitives.
-
-## Docs
-
-You can access the docs for the [AutoGPT Agent Server here](https://docs.agpt.co/server/setup).
-
-## Setup
-
-We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
-
-0. Install Poetry
-    ```sh
-    pip install poetry
-    ```
-    
-1. Configure Poetry to use .venv in your project directory
-    ```sh
-    poetry config virtualenvs.in-project true
-    ```
-
-2. Enter the poetry shell
-
-   ```sh
-   poetry shell
-   ```
-   
-3. Install dependencies
-
-   ```sh
-   poetry install
-   ```
-
-4. Copy .env.example to .env
-
-   ```sh
-   cp .env.example .env
-   ```
-   
-5. Generate the Prisma client
-
-   ```sh
-   poetry run prisma generate
-   ```
-   
-
-   > In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
-   >
-   > ```sh
-   > pip uninstall prisma
-   > ```
-   >
-   > Then run the generation again. The path *should* look something like this:  
-   > `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
-
-6. Migrate the database. Be careful because this deletes current data in the database.
-
-   ```sh
-   docker compose up db -d
-   poetry run prisma migrate deploy
-   ```
-
-## Running The Server
-
-### Starting the server without Docker
-
-Run the following command to run database in docker but the application locally:
-
-```sh
-docker compose --profile local up deps --build --detach
-poetry run app
-```
-
-### Starting the server with Docker
-
-Run the following command to build the dockerfiles:
-
-```sh
-docker compose build
-```
-
-Run the following command to run the app:
-
-```sh
-docker compose up
-```
-
-Run the following to automatically rebuild when code changes, in another terminal:
-
-```sh
-docker compose watch
-```
-
-Run the following command to shut down:
-
-```sh
-docker compose down
-```
-
-If you run into issues with dangling orphans, try:
-
-```sh
-docker compose down --volumes --remove-orphans && docker-compose up --force-recreate --renew-anon-volumes --remove-orphans  
-```
-
-## Testing
-
-To run the tests:
-
-```sh
-poetry run test
-```
-
-## Development
-
-### Formatting & Linting
-Auto formatter and linter are set up in the project. To run them:
-
-Install:
-```sh
-poetry install --with dev
-```
-
-Format the code:
-```sh
-poetry run format
-```
-
-Lint the code:
-```sh
-poetry run lint
-```
-
-## Project Outline
-
-The current project has the following main modules:
-
-### **blocks**
-
-This module stores all the Agent Blocks, which are reusable components to build a graph that represents the agent's behavior.
-
-### **data**
-
-This module stores the logical model that is persisted in the database.
-It abstracts the database operations into functions that can be called by the service layer.
-Any code that interacts with Prisma objects or the database should reside in this module.
-The main models are:
-* `block`: anything related to the block used in the graph
-* `execution`: anything related to the execution graph execution
-* `graph`: anything related to the graph, node, and its relations
-
-### **execution**
-
-This module stores the business logic of executing the graph.
-It currently has the following main modules:
-* `manager`: A service that consumes the queue of the graph execution and executes the graph. It contains both pieces of logic.
-* `scheduler`: A service that triggers scheduled graph execution based on a cron expression. It pushes an execution request to the manager.
-
-### **server**
-
-This module stores the logic for the server API.
-It contains all the logic used for the API that allows the client to create, execute, and monitor the graph and its execution.
-This API service interacts with other services like those defined in `manager` and `scheduler`.
-
-### **utils**
-
-This module stores utility functions that are used across the project.
-Currently, it has two main modules:
-* `process`: A module that contains the logic to spawn a new process.
-* `service`: A module that serves as a parent class for all the services in the project.
-
-## Service Communication
-
-Currently, there are only 3 active services:
-
-- AgentServer (the API, defined in `server.py`)
-- ExecutionManager (the executor, defined in `manager.py`)
-- ExecutionScheduler (the scheduler, defined in `scheduler.py`)
-
-The services run in independent Python processes and communicate through an IPC.
-A communication layer (`service.py`) is created to decouple the communication library from the implementation.
-
-Currently, the IPC is done using Pyro5 and abstracted in a way that allows a function decorated with `@expose` to be called from a different process.
-
-
-By default the daemons run on the following ports: 
-
-Execution Manager Daemon: 8002
-Execution Scheduler Daemon: 8003
-Rest Server Daemon: 8004
-
-## Adding a New Agent Block
-
-To add a new agent block, you need to create a new class that inherits from `Block` and provides the following information:
-* All the block code should live in the `blocks` (`backend.blocks`) module.
-* `input_schema`: the schema of the input data, represented by a Pydantic object.
-* `output_schema`: the schema of the output data, represented by a Pydantic object.
-* `run` method: the main logic of the block.
-* `test_input` & `test_output`: the sample input and output data for the block, which will be used to auto-test the block.
-* You can mock the functions declared in the block using the `test_mock` field for your unit tests.
-* Once you finish creating the block, you can test it by running `poetry run pytest -s test/block/test_block.py`.
+[Getting Started (Released)](https://docs.agpt.co/platform/getting-started/#autogpt_agent_server)
\ No newline at end of file
diff --git a/autogpt_platform/backend/TESTING.md b/autogpt_platform/backend/TESTING.md
new file mode 100644
index 000000000000..1fb79732fa74
--- /dev/null
+++ b/autogpt_platform/backend/TESTING.md
@@ -0,0 +1,237 @@
+# Backend Testing Guide
+
+This guide covers testing practices for the AutoGPT Platform backend, with a focus on snapshot testing for API endpoints.
+
+## Table of Contents
+- [Overview](#overview)
+- [Running Tests](#running-tests)
+- [Snapshot Testing](#snapshot-testing)
+- [Writing Tests for API Routes](#writing-tests-for-api-routes)
+- [Best Practices](#best-practices)
+
+## Overview
+
+The backend uses pytest for testing with the following key libraries:
+- `pytest` - Test framework
+- `pytest-asyncio` - Async test support
+- `pytest-mock` - Mocking support
+- `pytest-snapshot` - Snapshot testing for API responses
+
+## Running Tests
+
+### Run all tests
+```bash
+poetry run test
+```
+
+### Run specific test file
+```bash
+poetry run pytest path/to/test_file.py
+```
+
+### Run with verbose output
+```bash
+poetry run pytest -v
+```
+
+### Run with coverage
+```bash
+poetry run pytest --cov=backend
+```
+
+## Snapshot Testing
+
+Snapshot testing captures the output of your code and compares it against previously saved snapshots. This is particularly useful for testing API responses.
+
+### How Snapshot Testing Works
+
+1. First run: Creates snapshot files in `snapshots/` directories
+2. Subsequent runs: Compares output against saved snapshots
+3. Changes detected: Test fails if output differs from snapshot
+
+### Creating/Updating Snapshots
+
+When you first write a test or when the expected output changes:
+
+```bash
+poetry run pytest path/to/test.py --snapshot-update
+```
+
+⚠️ **Important**: Always review snapshot changes before committing! Use `git diff` to verify the changes are expected.
+
+### Snapshot Test Example
+
+```python
+import json
+from pytest_snapshot.plugin import Snapshot
+
+def test_api_endpoint(snapshot: Snapshot):
+    response = client.get("/api/endpoint")
+    
+    # Snapshot the response
+    snapshot.snapshot_dir = "snapshots"
+snapshot.assert_match(
+        json.dumps(response.json(), indent=2, sort_keys=True),
+        "endpoint_response"
+    )
+```
+
+### Best Practices for Snapshots
+
+1. **Use descriptive names**: `"user_list_response"` not `"response1"`
+2. **Sort JSON keys**: Ensures consistent snapshots
+3. **Format JSON**: Use `indent=2` for readable diffs
+4. **Exclude dynamic data**: Remove timestamps, IDs, etc. that change between runs
+
+Example of excluding dynamic data:
+```python
+response_data = response.json()
+# Remove dynamic fields for snapshot
+response_data.pop("created_at", None)
+response_data.pop("id", None)
+
+snapshot.snapshot_dir = "snapshots"
+snapshot.assert_match(
+    json.dumps(response_data, indent=2, sort_keys=True),
+    "static_response_data"
+)
+```
+
+## Writing Tests for API Routes
+
+### Basic Structure
+
+```python
+import json
+import fastapi
+import fastapi.testclient
+import pytest
+from pytest_snapshot.plugin import Snapshot
+
+from backend.server.v2.myroute import router
+
+app = fastapi.FastAPI()
+app.include_router(router)
+client = fastapi.testclient.TestClient(app)
+
+def test_endpoint_success(snapshot: Snapshot):
+    response = client.get("/endpoint")
+    assert response.status_code == 200
+    
+    # Test specific fields
+    data = response.json()
+    assert data["status"] == "success"
+    
+    # Snapshot the full response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(data, indent=2, sort_keys=True),
+        "endpoint_success_response"
+    )
+```
+
+### Testing with Authentication
+
+```python
+def override_auth_middleware():
+    return {"sub": "test-user-id"}
+
+def override_get_user_id():
+    return "test-user-id"
+
+app.dependency_overrides[auth_middleware] = override_auth_middleware
+app.dependency_overrides[get_user_id] = override_get_user_id
+```
+
+### Mocking External Services
+
+```python
+def test_external_api_call(mocker, snapshot):
+    # Mock external service
+    mock_response = {"external": "data"}
+    mocker.patch(
+        "backend.services.external_api.call",
+        return_value=mock_response
+    )
+    
+    response = client.post("/api/process")
+    assert response.status_code == 200
+    
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response.json(), indent=2, sort_keys=True),
+        "process_with_external_response"
+    )
+```
+
+## Best Practices
+
+### 1. Test Organization
+- Place tests next to the code: `routes.py` → `routes_test.py`
+- Use descriptive test names: `test_create_user_with_invalid_email`
+- Group related tests in classes when appropriate
+
+### 2. Test Coverage
+- Test happy path and error cases
+- Test edge cases (empty data, invalid formats)
+- Test authentication and authorization
+
+### 3. Snapshot Testing Guidelines
+- Review all snapshot changes carefully
+- Don't snapshot sensitive data
+- Keep snapshots focused and minimal
+- Update snapshots intentionally, not accidentally
+
+### 4. Async Testing
+- Use regular `def` for FastAPI TestClient tests
+- Use `async def` with `@pytest.mark.asyncio` for testing async functions directly
+
+### 5. Fixtures
+Create reusable fixtures for common test data:
+
+```python
+@pytest.fixture
+def sample_user():
+    return {
+        "email": "test@example.com",
+        "name": "Test User"
+    }
+
+def test_create_user(sample_user, snapshot):
+    response = client.post("/users", json=sample_user)
+    # ... test implementation
+```
+
+## CI/CD Integration
+
+The GitHub Actions workflow automatically runs tests on:
+- Pull requests
+- Pushes to main branch
+
+Snapshot tests work in CI by:
+1. Committing snapshot files to the repository
+2. CI compares against committed snapshots
+3. Fails if snapshots don't match
+
+## Troubleshooting
+
+### Snapshot Mismatches
+- Review the diff carefully
+- If changes are expected: `poetry run pytest --snapshot-update`
+- If changes are unexpected: Fix the code causing the difference
+
+### Async Test Issues
+- Ensure async functions use `@pytest.mark.asyncio`
+- Use `AsyncMock` for mocking async functions
+- FastAPI TestClient handles async automatically
+
+### Import Errors
+- Check that all dependencies are in `pyproject.toml`
+- Run `poetry install` to ensure dependencies are installed
+- Verify import paths are correct
+
+## Summary
+
+Snapshot testing provides a powerful way to ensure API responses remain consistent. Combined with traditional assertions, it creates a robust test suite that catches regressions while remaining maintainable.
+
+Remember: Good tests are as important as good code!
\ No newline at end of file
diff --git a/autogpt_platform/backend/backend/TEST_DATA_README.md b/autogpt_platform/backend/backend/TEST_DATA_README.md
new file mode 100644
index 000000000000..ef818df25030
--- /dev/null
+++ b/autogpt_platform/backend/backend/TEST_DATA_README.md
@@ -0,0 +1,150 @@
+# Test Data Scripts
+
+This directory contains scripts for creating and updating test data in the AutoGPT Platform database, specifically designed to test the materialized views for the store functionality.
+
+## Scripts
+
+### test_data_creator.py
+Creates a comprehensive set of test data including:
+- Users with profiles
+- Agent graphs, nodes, and executions
+- Store listings with multiple versions
+- Reviews and ratings
+- Library agents
+- Integration webhooks
+- Onboarding data
+- Credit transactions
+
+**Image/Video Domains Used:**
+- Images: `picsum.photos` (for all image URLs)
+- Videos: `youtube.com` (for store listing videos)
+
+### test_data_updater.py
+Updates existing test data to simulate real-world changes:
+- Adds new agent graph executions
+- Creates new store listing reviews
+- Updates store listing versions
+- Adds credit transactions
+- Refreshes materialized views
+
+### check_db.py
+Tests and verifies materialized views functionality:
+- Checks pg_cron job status (for automatic refresh)
+- Displays current materialized view counts
+- Adds test data (executions and reviews)
+- Creates store listings if none exist
+- Manually refreshes materialized views
+- Compares before/after counts to verify updates
+- Provides a summary of test results
+
+## Materialized Views
+
+The scripts test three key database views:
+
+1. **mv_agent_run_counts**: Tracks execution counts by agent
+2. **mv_review_stats**: Tracks review statistics (count, average rating) by store listing
+3. **StoreAgent**: A view that combines store listing data with execution counts and ratings for display
+
+The materialized views (mv_agent_run_counts and mv_review_stats) are automatically refreshed every 15 minutes via pg_cron, or can be manually refreshed using the `refresh_store_materialized_views()` function.
+
+## Usage
+
+### Prerequisites
+
+1. Ensure the database is running:
+```bash
+docker compose up -d
+# or for test database:
+docker compose -f docker-compose.test.yaml --env-file ../.env up -d
+```
+
+2. Run database migrations:
+```bash
+poetry run prisma migrate deploy
+```
+
+### Running the Scripts
+
+#### Option 1: Use the helper script (from backend directory)
+```bash
+poetry run python run_test_data.py
+```
+
+#### Option 2: Run individually
+```bash
+# From backend/test directory:
+# Create initial test data
+poetry run python test_data_creator.py
+
+# Update data to test materialized view changes
+poetry run python test_data_updater.py
+
+# From backend directory:
+# Test materialized views functionality
+poetry run python check_db.py
+
+# Check store data status
+poetry run python check_store_data.py
+```
+
+#### Option 3: Use the shell script (from backend directory)
+```bash
+./run_test_data_scripts.sh
+```
+
+### Manual Materialized View Refresh
+
+To manually refresh the materialized views:
+```sql
+SELECT refresh_store_materialized_views();
+```
+
+## Configuration
+
+The scripts use the database configuration from your `.env` file:
+- `DATABASE_URL`: PostgreSQL connection string
+- Database should have the platform schema
+
+## Data Generation Limits
+
+Configured in `test_data_creator.py`:
+- 100 users
+- 100 agent blocks
+- 1-5 graphs per user
+- 2-5 nodes per graph
+- 1-5 presets per user
+- 1-10 library agents per user
+- 1-20 executions per graph
+- 1-5 reviews per store listing version
+
+## Notes
+
+- All image URLs use `picsum.photos` for consistency with Next.js image configuration
+- The scripts create realistic relationships between entities
+- Materialized views are refreshed at the end of each script
+- Data is designed to test both happy paths and edge cases
+
+## Troubleshooting
+
+### Reviews and StoreAgent view showing 0
+
+If `check_db.py` shows that reviews remain at 0 and StoreAgent view shows 0 store agents:
+
+1. **No store listings exist**: The script will automatically create test store listings if none exist
+2. **No approved versions**: Store listings need approved versions to appear in the StoreAgent view
+3. **Check with `check_store_data.py`**: This script provides detailed information about:
+   - Total store listings
+   - Store listing versions by status
+   - Existing reviews
+   - StoreAgent view contents
+   - Agent graph executions
+
+### pg_cron not installed
+
+The warning "pg_cron extension is not installed" is normal in local development environments. The materialized views can still be refreshed manually using the `refresh_store_materialized_views()` function, which all scripts do automatically.
+
+### Common Issues
+
+- **Type errors with None values**: Fixed in the latest version of check_db.py by using `or 0` for nullable numeric fields
+- **Missing relations**: Ensure you're using the correct field names (e.g., `StoreListing` not `storeListing` in includes)
+- **Column name mismatches**: The database uses camelCase for column names (e.g., `agentGraphId` not `agent_graph_id`)
\ No newline at end of file
diff --git a/autogpt_platform/backend/backend/app.py b/autogpt_platform/backend/backend/app.py
index 5d77ea9632b3..596962ae0bd8 100644
--- a/autogpt_platform/backend/backend/app.py
+++ b/autogpt_platform/backend/backend/app.py
@@ -1,22 +1,34 @@
+import logging
 from typing import TYPE_CHECKING
 
+from dotenv import load_dotenv
+
+load_dotenv()
+
 if TYPE_CHECKING:
     from backend.util.process import AppProcess
 
+logger = logging.getLogger(__name__)
+
 
 def run_processes(*processes: "AppProcess", **kwargs):
     """
     Execute all processes in the app. The last process is run in the foreground.
+    Includes enhanced error handling and process lifecycle management.
     """
     try:
+        # Run all processes except the last one in the background.
         for process in processes[:-1]:
             process.start(background=True, **kwargs)
 
-        # Run the last process in the foreground
+        # Run the last process in the foreground.
         processes[-1].start(background=False, **kwargs)
     finally:
         for process in processes:
-            process.stop()
+            try:
+                process.stop()
+            except Exception as e:
+                logger.exception(f"[{process.service_name}] unable to stop: {e}")
 
 
 def main(**kwargs):
@@ -24,16 +36,18 @@ def main(**kwargs):
     Run all the processes required for the AutoGPT-server (REST and WebSocket APIs).
     """
 
-    from backend.executor import DatabaseManager, ExecutionManager, ExecutionScheduler
+    from backend.executor import DatabaseManager, ExecutionManager, Scheduler
+    from backend.notifications import NotificationManager
     from backend.server.rest_api import AgentServer
     from backend.server.ws_api import WebsocketServer
 
     run_processes(
-        DatabaseManager(),
-        ExecutionManager(),
-        ExecutionScheduler(),
+        DatabaseManager().set_log_level("warning"),
+        Scheduler(),
+        NotificationManager(),
         WebsocketServer(),
         AgentServer(),
+        ExecutionManager(),
         **kwargs,
     )
 
diff --git a/autogpt_platform/backend/backend/blocks/__init__.py b/autogpt_platform/backend/backend/blocks/__init__.py
index 11c5f3d5d6d2..f6299cbb53df 100644
--- a/autogpt_platform/backend/backend/blocks/__init__.py
+++ b/autogpt_platform/backend/backend/blocks/__init__.py
@@ -1,89 +1,124 @@
+import functools
 import importlib
+import logging
 import os
 import re
 from pathlib import Path
-from typing import Type, TypeVar
+from typing import TYPE_CHECKING, TypeVar
 
-from backend.data.block import Block
+logger = logging.getLogger(__name__)
 
-# Dynamically load all modules under backend.blocks
-AVAILABLE_MODULES = []
-current_dir = Path(__file__).parent
-modules = [
-    str(f.relative_to(current_dir))[:-3].replace(os.path.sep, ".")
-    for f in current_dir.rglob("*.py")
-    if f.is_file() and f.name != "__init__.py"
-]
-for module in modules:
-    if not re.match("^[a-z0-9_.]+$", module):
-        raise ValueError(
-            f"Block module {module} error: module name must be lowercase, "
-            "and contain only alphanumeric characters and underscores."
-        )
 
-    importlib.import_module(f".{module}", package=__name__)
-    AVAILABLE_MODULES.append(module)
+if TYPE_CHECKING:
+    from backend.data.block import Block
 
-# Load all Block instances from the available modules
-AVAILABLE_BLOCKS: dict[str, Type[Block]] = {}
+T = TypeVar("T")
 
 
-T = TypeVar("T")
+@functools.cache
+def load_all_blocks() -> dict[str, type["Block"]]:
+    from backend.data.block import Block
+    from backend.util.settings import Config
 
+    # Check if example blocks should be loaded from settings
+    config = Config()
+    load_examples = config.enable_example_blocks
 
-def all_subclasses(cls: Type[T]) -> list[Type[T]]:
-    subclasses = cls.__subclasses__()
-    for subclass in subclasses:
-        subclasses += all_subclasses(subclass)
-    return subclasses
+    # Dynamically load all modules under backend.blocks
+    current_dir = Path(__file__).parent
+    modules = []
+    for f in current_dir.rglob("*.py"):
+        if not f.is_file() or f.name == "__init__.py" or f.name.startswith("test_"):
+            continue
 
+        # Skip examples directory if not enabled
+        relative_path = f.relative_to(current_dir)
+        if not load_examples and relative_path.parts[0] == "examples":
+            continue
 
-for block_cls in all_subclasses(Block):
-    name = block_cls.__name__
+        module_path = str(relative_path)[:-3].replace(os.path.sep, ".")
+        modules.append(module_path)
 
-    if block_cls.__name__.endswith("Base"):
-        continue
+    for module in modules:
+        if not re.match("^[a-z0-9_.]+$", module):
+            raise ValueError(
+                f"Block module {module} error: module name must be lowercase, "
+                "and contain only alphanumeric characters and underscores."
+            )
 
-    if not block_cls.__name__.endswith("Block"):
-        raise ValueError(
-            f"Block class {block_cls.__name__} does not end with 'Block', If you are creating an abstract class, please name the class with 'Base' at the end"
-        )
+        importlib.import_module(f".{module}", package=__name__)
 
-    block = block_cls.create()
+    # Load all Block instances from the available modules
+    available_blocks: dict[str, type["Block"]] = {}
+    for block_cls in all_subclasses(Block):
+        class_name = block_cls.__name__
 
-    if not isinstance(block.id, str) or len(block.id) != 36:
-        raise ValueError(f"Block ID {block.name} error: {block.id} is not a valid UUID")
+        if class_name.endswith("Base"):
+            continue
 
-    if block.id in AVAILABLE_BLOCKS:
-        raise ValueError(f"Block ID {block.name} error: {block.id} is already in use")
+        if not class_name.endswith("Block"):
+            raise ValueError(
+                f"Block class {class_name} does not end with 'Block'. "
+                "If you are creating an abstract class, "
+                "please name the class with 'Base' at the end"
+            )
 
-    input_schema = block.input_schema.model_fields
-    output_schema = block.output_schema.model_fields
+        block = block_cls.create()
 
-    # Make sure `error` field is a string in the output schema
-    if "error" in output_schema and output_schema["error"].annotation is not str:
-        raise ValueError(
-            f"{block.name} `error` field in output_schema must be a string"
-        )
+        if not isinstance(block.id, str) or len(block.id) != 36:
+            raise ValueError(
+                f"Block ID {block.name} error: {block.id} is not a valid UUID"
+            )
 
-    # Make sure all fields in input_schema and output_schema are annotated and has a value
-    for field_name, field in [*input_schema.items(), *output_schema.items()]:
-        if field.annotation is None:
+        if block.id in available_blocks:
             raise ValueError(
-                f"{block.name} has a field {field_name} that is not annotated"
+                f"Block ID {block.name} error: {block.id} is already in use"
             )
-        if field.json_schema_extra is None:
+
+        input_schema = block.input_schema.model_fields
+        output_schema = block.output_schema.model_fields
+
+        # Make sure `error` field is a string in the output schema
+        if "error" in output_schema and output_schema["error"].annotation is not str:
             raise ValueError(
-                f"{block.name} has a field {field_name} not defined as SchemaField"
+                f"{block.name} `error` field in output_schema must be a string"
             )
 
-    for field in block.input_schema.model_fields.values():
-        if field.annotation is bool and field.default not in (True, False):
-            raise ValueError(f"{block.name} has a boolean field with no default value")
+        # Ensure all fields in input_schema and output_schema are annotated SchemaFields
+        for field_name, field in [*input_schema.items(), *output_schema.items()]:
+            if field.annotation is None:
+                raise ValueError(
+                    f"{block.name} has a field {field_name} that is not annotated"
+                )
+            if field.json_schema_extra is None:
+                raise ValueError(
+                    f"{block.name} has a field {field_name} not defined as SchemaField"
+                )
+
+        for field in block.input_schema.model_fields.values():
+            if field.annotation is bool and field.default not in (True, False):
+                raise ValueError(
+                    f"{block.name} has a boolean field with no default value"
+                )
+
+        available_blocks[block.id] = block_cls
+
+    # Filter out blocks with incomplete auth configs, e.g. missing OAuth server secrets
+    from backend.data.block import is_block_auth_configured
+
+    filtered_blocks = {}
+    for block_id, block_cls in available_blocks.items():
+        if is_block_auth_configured(block_cls):
+            filtered_blocks[block_id] = block_cls
 
-    if block.disabled:
-        continue
+    return filtered_blocks
 
-    AVAILABLE_BLOCKS[block.id] = block_cls
 
-__all__ = ["AVAILABLE_MODULES", "AVAILABLE_BLOCKS"]
+__all__ = ["load_all_blocks"]
+
+
+def all_subclasses(cls: type[T]) -> list[type[T]]:
+    subclasses = cls.__subclasses__()
+    for subclass in subclasses:
+        subclasses += all_subclasses(subclass)
+    return subclasses
diff --git a/autogpt_platform/backend/backend/blocks/agent.py b/autogpt_platform/backend/backend/blocks/agent.py
index afbe410e4291..ac3eedb12bdc 100644
--- a/autogpt_platform/backend/backend/blocks/agent.py
+++ b/autogpt_platform/backend/backend/blocks/agent.py
@@ -1,6 +1,7 @@
 import logging
+from typing import Any, Optional
 
-from autogpt_libs.utils.cache import thread_cached
+from pydantic import JsonValue
 
 from backend.data.block import (
     Block,
@@ -12,24 +13,11 @@
     get_block,
 )
 from backend.data.execution import ExecutionStatus
-from backend.data.model import SchemaField
+from backend.data.model import NodeExecutionStats, SchemaField
+from backend.util.json import validate_with_jsonschema
+from backend.util.retry import func_retry
 
-logger = logging.getLogger(__name__)
-
-
-@thread_cached
-def get_executor_manager_client():
-    from backend.executor import ExecutionManager
-    from backend.util.service import get_service_client
-
-    return get_service_client(ExecutionManager)
-
-
-@thread_cached
-def get_event_bus():
-    from backend.data.execution import RedisExecutionEventBus
-
-    return RedisExecutionEventBus()
+_logger = logging.getLogger(__name__)
 
 
 class AgentExecutorBlock(Block):
@@ -37,11 +25,35 @@ class Input(BlockSchema):
         user_id: str = SchemaField(description="User ID")
         graph_id: str = SchemaField(description="Graph ID")
         graph_version: int = SchemaField(description="Graph Version")
+        agent_name: Optional[str] = SchemaField(
+            default=None, description="Name to display in the Builder UI"
+        )
 
-        data: BlockInput = SchemaField(description="Input data for the graph")
+        inputs: BlockInput = SchemaField(description="Input data for the graph")
         input_schema: dict = SchemaField(description="Input schema for the graph")
         output_schema: dict = SchemaField(description="Output schema for the graph")
 
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = SchemaField(
+            default=None, hidden=True
+        )
+
+        @classmethod
+        def get_input_schema(cls, data: BlockInput) -> dict[str, Any]:
+            return data.get("input_schema", {})
+
+        @classmethod
+        def get_input_defaults(cls, data: BlockInput) -> BlockInput:
+            return data.get("inputs", {})
+
+        @classmethod
+        def get_missing_input(cls, data: BlockInput) -> set[str]:
+            required_fields = cls.get_input_schema(data).get("required", [])
+            return set(required_fields) - set(data)
+
+        @classmethod
+        def get_mismatch_error(cls, data: BlockInput) -> str | None:
+            return validate_with_jsonschema(cls.get_input_schema(data), data)
+
     class Output(BlockSchema):
         pass
 
@@ -55,32 +67,103 @@ def __init__(self):
             categories={BlockCategory.AGENT},
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        executor_manager = get_executor_manager_client()
-        event_bus = get_event_bus()
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+
+        from backend.executor import utils as execution_utils
 
-        graph_exec = executor_manager.add_execution(
+        graph_exec = await execution_utils.add_graph_execution(
             graph_id=input_data.graph_id,
             graph_version=input_data.graph_version,
             user_id=input_data.user_id,
-            data=input_data.data,
+            inputs=input_data.inputs,
+            nodes_input_masks=input_data.nodes_input_masks,
+        )
+
+        logger = execution_utils.LogMetadata(
+            logger=_logger,
+            user_id=input_data.user_id,
+            graph_eid=graph_exec.id,
+            graph_id=input_data.graph_id,
+            node_eid="*",
+            node_id="*",
+            block_name=self.name,
         )
-        log_id = f"Graph #{input_data.graph_id}-V{input_data.graph_version}, exec-id: {graph_exec.graph_exec_id}"
+
+        try:
+            async for name, data in self._run(
+                graph_id=input_data.graph_id,
+                graph_version=input_data.graph_version,
+                graph_exec_id=graph_exec.id,
+                user_id=input_data.user_id,
+                logger=logger,
+            ):
+                yield name, data
+        except BaseException as e:
+            await self._stop(
+                graph_exec_id=graph_exec.id,
+                user_id=input_data.user_id,
+                logger=logger,
+            )
+            logger.warning(
+                f"Execution of graph {input_data.graph_id}v{input_data.graph_version} failed: {e.__class__.__name__} {str(e)}; execution is stopped."
+            )
+            raise
+
+    async def _run(
+        self,
+        graph_id: str,
+        graph_version: int,
+        graph_exec_id: str,
+        user_id: str,
+        logger,
+    ) -> BlockOutput:
+
+        from backend.data.execution import ExecutionEventType
+        from backend.executor import utils as execution_utils
+
+        event_bus = execution_utils.get_async_execution_event_bus()
+
+        log_id = f"Graph #{graph_id}-V{graph_version}, exec-id: {graph_exec_id}"
         logger.info(f"Starting execution of {log_id}")
+        yielded_node_exec_ids = set()
 
-        for event in event_bus.listen(
-            graph_id=graph_exec.graph_id, graph_exec_id=graph_exec.graph_exec_id
+        async for event in event_bus.listen(
+            user_id=user_id,
+            graph_id=graph_id,
+            graph_exec_id=graph_exec_id,
         ):
-            logger.info(
+            if event.status not in [
+                ExecutionStatus.COMPLETED,
+                ExecutionStatus.TERMINATED,
+                ExecutionStatus.FAILED,
+            ]:
+                logger.debug(
+                    f"Execution {log_id} received event {event.event_type} with status {event.status}"
+                )
+                continue
+
+            if event.event_type == ExecutionEventType.GRAPH_EXEC_UPDATE:
+                # If the graph execution is COMPLETED, TERMINATED, or FAILED,
+                # we can stop listening for further events.
+                self.merge_stats(
+                    NodeExecutionStats(
+                        extra_cost=event.stats.cost if event.stats else 0,
+                        extra_steps=event.stats.node_exec_count if event.stats else 0,
+                    )
+                )
+                break
+
+            logger.debug(
                 f"Execution {log_id} produced input {event.input_data} output {event.output_data}"
             )
 
-            if not event.node_id:
-                if event.status in [ExecutionStatus.COMPLETED, ExecutionStatus.FAILED]:
-                    logger.info(f"Execution {log_id} ended with status {event.status}")
-                    break
-                else:
-                    continue
+            if event.node_exec_id in yielded_node_exec_ids:
+                logger.warning(
+                    f"{log_id} received duplicate event for node execution {event.node_exec_id}"
+                )
+                continue
+            else:
+                yielded_node_exec_ids.add(event.node_exec_id)
 
             if not event.block_id:
                 logger.warning(f"{log_id} received event without block_id {event}")
@@ -96,5 +179,29 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
                 continue
 
             for output_data in event.output_data.get("output", []):
-                logger.info(f"Execution {log_id} produced {output_name}: {output_data}")
+                logger.debug(
+                    f"Execution {log_id} produced {output_name}: {output_data}"
+                )
                 yield output_name, output_data
+
+    @func_retry
+    async def _stop(
+        self,
+        graph_exec_id: str,
+        user_id: str,
+        logger,
+    ) -> None:
+        from backend.executor import utils as execution_utils
+
+        log_id = f"Graph exec-id: {graph_exec_id}"
+        logger.info(f"Stopping execution of {log_id}")
+
+        try:
+            await execution_utils.stop_graph_execution(
+                graph_exec_id=graph_exec_id,
+                user_id=user_id,
+                wait_timeout=3600,
+            )
+            logger.info(f"Execution {log_id} stopped successfully.")
+        except TimeoutError as e:
+            logger.error(f"Execution {log_id} stop timed out: {e}")
diff --git a/autogpt_platform/backend/backend/blocks/ai_image_generator_block.py b/autogpt_platform/backend/backend/blocks/ai_image_generator_block.py
index ebd79dda9ac9..39c0d4ac5471 100644
--- a/autogpt_platform/backend/backend/blocks/ai_image_generator_block.py
+++ b/autogpt_platform/backend/backend/blocks/ai_image_generator_block.py
@@ -1,8 +1,8 @@
 from enum import Enum
 from typing import Literal
 
-import replicate
 from pydantic import SecretStr
+from replicate.client import Client as ReplicateClient
 from replicate.helpers import FileOutput
 
 from backend.data.block import Block, BlockCategory, BlockSchema
@@ -165,15 +165,15 @@ def __init__(self):
             },
         )
 
-    def _run_client(
+    async def _run_client(
         self, credentials: APIKeyCredentials, model_name: str, input_params: dict
     ):
         try:
             # Initialize Replicate client
-            client = replicate.Client(api_token=credentials.api_key.get_secret_value())
+            client = ReplicateClient(api_token=credentials.api_key.get_secret_value())
 
             # Run the model with input parameters
-            output = client.run(model_name, input=input_params, wait=False)
+            output = await client.async_run(model_name, input=input_params, wait=False)
 
             # Process output
             if isinstance(output, list) and len(output) > 0:
@@ -195,7 +195,7 @@ def _run_client(
         except Exception as e:
             raise RuntimeError(f"Unexpected error during model execution: {e}")
 
-    def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
+    async def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
         try:
             # Handle style-based prompt modification for models without native style support
             modified_prompt = input_data.prompt
@@ -213,7 +213,7 @@ def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
                     "steps": 40,
                     "cfg_scale": 7.0,
                 }
-                output = self._run_client(
+                output = await self._run_client(
                     credentials,
                     "stability-ai/stable-diffusion-3.5-medium",
                     input_params,
@@ -231,7 +231,7 @@ def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
                     "output_format": "jpg",  # Set to jpg for Flux models
                     "output_quality": 90,
                 }
-                output = self._run_client(
+                output = await self._run_client(
                     credentials, "black-forest-labs/flux-1.1-pro", input_params
                 )
                 return output
@@ -246,7 +246,7 @@ def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
                     "output_format": "jpg",
                     "output_quality": 90,
                 }
-                output = self._run_client(
+                output = await self._run_client(
                     credentials, "black-forest-labs/flux-1.1-pro-ultra", input_params
                 )
                 return output
@@ -257,7 +257,7 @@ def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
                     "size": SIZE_TO_RECRAFT_DIMENSIONS[input_data.size],
                     "style": input_data.style.value,
                 }
-                output = self._run_client(
+                output = await self._run_client(
                     credentials, "recraft-ai/recraft-v3", input_params
                 )
                 return output
@@ -296,9 +296,9 @@ def _style_to_prompt_prefix(self, style: ImageStyle) -> str:
         style_text = style_map.get(style, "")
         return f"{style_text} of" if style_text else ""
 
-    def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
+    async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
         try:
-            url = self.generate_image(input_data, credentials)
+            url = await self.generate_image(input_data, credentials)
             if url:
                 yield "image_url", url
             else:
diff --git a/autogpt_platform/backend/backend/blocks/ai_music_generator.py b/autogpt_platform/backend/backend/blocks/ai_music_generator.py
index 708203510877..92182fb16aee 100644
--- a/autogpt_platform/backend/backend/blocks/ai_music_generator.py
+++ b/autogpt_platform/backend/backend/blocks/ai_music_generator.py
@@ -1,10 +1,10 @@
+import asyncio
 import logging
-import time
 from enum import Enum
 from typing import Literal
 
-import replicate
 from pydantic import SecretStr
+from replicate.client import Client as ReplicateClient
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import (
@@ -142,7 +142,7 @@ def __init__(self):
             test_credentials=TEST_CREDENTIALS,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         max_retries = 3
@@ -154,7 +154,7 @@ def run(
                 logger.debug(
                     f"[AIMusicGeneratorBlock] - Running model (attempt {attempt + 1})"
                 )
-                result = self.run_model(
+                result = await self.run_model(
                     api_key=credentials.api_key,
                     music_gen_model_version=input_data.music_gen_model_version,
                     prompt=input_data.prompt,
@@ -166,7 +166,7 @@ def run(
                     output_format=input_data.output_format,
                     normalization_strategy=input_data.normalization_strategy,
                 )
-                if result and result != "No output received":
+                if result and isinstance(result, str) and result.startswith("http"):
                     yield "result", result
                     return
                 else:
@@ -176,13 +176,13 @@ def run(
                 last_error = f"Unexpected error: {str(e)}"
                 logger.error(f"[AIMusicGeneratorBlock] - Error: {last_error}")
                 if attempt < max_retries - 1:
-                    time.sleep(retry_delay)
+                    await asyncio.sleep(retry_delay)
                     continue
 
         # If we've exhausted all retries, yield the error
         yield "error", f"Failed after {max_retries} attempts. Last error: {last_error}"
 
-    def run_model(
+    async def run_model(
         self,
         api_key: SecretStr,
         music_gen_model_version: MusicGenModelVersion,
@@ -196,10 +196,10 @@ def run_model(
         normalization_strategy: NormalizationStrategy,
     ):
         # Initialize Replicate client with the API key
-        client = replicate.Client(api_token=api_key.get_secret_value())
+        client = ReplicateClient(api_token=api_key.get_secret_value())
 
         # Run the model with parameters
-        output = client.run(
+        output = await client.async_run(
             "meta/musicgen:671ac645ce5e552cc63a54a2bbff63fcf798043055d2dac5fc9e36a837eedcfb",
             input={
                 "prompt": prompt,
diff --git a/autogpt_platform/backend/backend/blocks/ai_shortform_video_block.py b/autogpt_platform/backend/backend/blocks/ai_shortform_video_block.py
index df2b3a27263c..fe1368797018 100644
--- a/autogpt_platform/backend/backend/blocks/ai_shortform_video_block.py
+++ b/autogpt_platform/backend/backend/blocks/ai_shortform_video_block.py
@@ -1,3 +1,4 @@
+import asyncio
 import logging
 import time
 from enum import Enum
@@ -13,7 +14,7 @@
     SchemaField,
 )
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
@@ -52,6 +53,7 @@ class AudioTrack(str, Enum):
     REFRESHER = ("Refresher",)
     TOURIST = ("Tourist",)
     TWIN_TYCHES = ("Twin Tyches",)
+    DONT_STOP_ME_ABSTRACT_FUTURE_BASS = ("Dont Stop Me Abstract Future Bass",)
 
     @property
     def audio_url(self):
@@ -77,6 +79,7 @@ def audio_url(self):
             AudioTrack.REFRESHER: "https://cdn.tfrv.xyz/audio/refresher.mp3",
             AudioTrack.TOURIST: "https://cdn.tfrv.xyz/audio/tourist.mp3",
             AudioTrack.TWIN_TYCHES: "https://cdn.tfrv.xyz/audio/twin-tynches.mp3",
+            AudioTrack.DONT_STOP_ME_ABSTRACT_FUTURE_BASS: "https://cdn.revid.ai/audio/_dont-stop-me-abstract-future-bass.mp3",
         }
         return audio_urls[self]
 
@@ -104,6 +107,7 @@ class GenerationPreset(str, Enum):
     MOVIE = ("Movie",)
     STYLIZED_ILLUSTRATION = ("Stylized Illustration",)
     MANGA = ("Manga",)
+    DEFAULT = ("DEFAULT",)
 
 
 class Voice(str, Enum):
@@ -113,6 +117,7 @@ class Voice(str, Enum):
     JESSICA = "Jessica"
     CHARLOTTE = "Charlotte"
     CALLUM = "Callum"
+    EVA = "Eva"
 
     @property
     def voice_id(self):
@@ -123,6 +128,7 @@ def voice_id(self):
             Voice.JESSICA: "cgSgspJ2msm6clMCkdW9",
             Voice.CHARLOTTE: "XB0fDUnXU5powFXDhCwa",
             Voice.CALLUM: "N2lVS1w4EtoT3dr4eOWO",
+            Voice.EVA: "FGY2WhTYpPnrIDTdsKH5",
         }
         return voice_id_map[self]
 
@@ -140,6 +146,8 @@ class VisualMediaType(str, Enum):
 
 
 class AIShortformVideoCreatorBlock(Block):
+    """Creates a short‑form text‑to‑video clip using stock or AI imagery."""
+
     class Input(BlockSchema):
         credentials: CredentialsMetaInput[
             Literal[ProviderName.REVID], Literal["api_key"]
@@ -183,71 +191,41 @@ class Output(BlockSchema):
         video_url: str = SchemaField(description="The URL of the created video")
         error: str = SchemaField(description="Error message if the request failed")
 
-    def __init__(self):
-        super().__init__(
-            id="361697fb-0c4f-4feb-aed3-8320c88c771b",
-            description="Creates a shortform video using revid.ai",
-            categories={BlockCategory.SOCIAL, BlockCategory.AI},
-            input_schema=AIShortformVideoCreatorBlock.Input,
-            output_schema=AIShortformVideoCreatorBlock.Output,
-            test_input={
-                "credentials": TEST_CREDENTIALS_INPUT,
-                "script": "[close-up of a cat] Meow!",
-                "ratio": "9 / 16",
-                "resolution": "720p",
-                "frame_rate": 60,
-                "generation_preset": GenerationPreset.LEONARDO,
-                "background_music": AudioTrack.HIGHWAY_NOCTURNE,
-                "voice": Voice.LILY,
-                "video_style": VisualMediaType.STOCK_VIDEOS,
-            },
-            test_output=(
-                "video_url",
-                "https://example.com/video.mp4",
-            ),
-            test_mock={
-                "create_webhook": lambda: (
-                    "test_uuid",
-                    "https://webhook.site/test_uuid",
-                ),
-                "create_video": lambda api_key, payload: {"pid": "test_pid"},
-                "wait_for_video": lambda api_key, pid, webhook_token, max_wait_time=1000: "https://example.com/video.mp4",
-            },
-            test_credentials=TEST_CREDENTIALS,
-        )
-
-    def create_webhook(self):
+    async def create_webhook(self) -> tuple[str, str]:
+        """Create a new webhook URL for receiving notifications."""
         url = "https://webhook.site/token"
         headers = {"Accept": "application/json", "Content-Type": "application/json"}
-        response = requests.post(url, headers=headers)
+        response = await Requests().post(url, headers=headers)
         webhook_data = response.json()
         return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
 
-    def create_video(self, api_key: SecretStr, payload: dict) -> dict:
+    async def create_video(self, api_key: SecretStr, payload: dict) -> dict:
+        """Create a video using the Revid API."""
         url = "https://www.revid.ai/api/public/v2/render"
         headers = {"key": api_key.get_secret_value()}
-        response = requests.post(url, json=payload, headers=headers)
+        response = await Requests().post(url, json=payload, headers=headers)
         logger.debug(
-            f"API Response Status Code: {response.status_code}, Content: {response.text}"
+            f"API Response Status Code: {response.status}, Content: {response.text}"
         )
         return response.json()
 
-    def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
+    async def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
+        """Check the status of a video creation job."""
         url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
         headers = {"key": api_key.get_secret_value()}
-        response = requests.get(url, headers=headers)
+        response = await Requests().get(url, headers=headers)
         return response.json()
 
-    def wait_for_video(
+    async def wait_for_video(
         self,
         api_key: SecretStr,
         pid: str,
-        webhook_token: str,
         max_wait_time: int = 1000,
     ) -> str:
+        """Wait for video creation to complete and return the video URL."""
         start_time = time.time()
         while time.time() - start_time < max_wait_time:
-            status = self.check_video_status(api_key, pid)
+            status = await self.check_video_status(api_key, pid)
             logger.debug(f"Video status: {status}")
 
             if status.get("status") == "ready" and "videoUrl" in status:
@@ -260,32 +238,64 @@ def wait_for_video(
                 logger.error(f"Video creation failed: {status.get('message')}")
                 raise ValueError(f"Video creation failed: {status.get('message')}")
 
-            time.sleep(10)
+            await asyncio.sleep(10)
 
         logger.error("Video creation timed out")
         raise TimeoutError("Video creation timed out")
 
-    def run(
+    def __init__(self):
+        super().__init__(
+            id="361697fb-0c4f-4feb-aed3-8320c88c771b",
+            description="Creates a shortform video using revid.ai",
+            categories={BlockCategory.SOCIAL, BlockCategory.AI},
+            input_schema=AIShortformVideoCreatorBlock.Input,
+            output_schema=AIShortformVideoCreatorBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "script": "[close-up of a cat] Meow!",
+                "ratio": "9 / 16",
+                "resolution": "720p",
+                "frame_rate": 60,
+                "generation_preset": GenerationPreset.LEONARDO,
+                "background_music": AudioTrack.HIGHWAY_NOCTURNE,
+                "voice": Voice.LILY,
+                "video_style": VisualMediaType.STOCK_VIDEOS,
+            },
+            test_output=("video_url", "https://example.com/video.mp4"),
+            test_mock={
+                "create_webhook": lambda *args, **kwargs: (
+                    "test_uuid",
+                    "https://webhook.site/test_uuid",
+                ),
+                "create_video": lambda *args, **kwargs: {"pid": "test_pid"},
+                "check_video_status": lambda *args, **kwargs: {
+                    "status": "ready",
+                    "videoUrl": "https://example.com/video.mp4",
+                },
+                "wait_for_video": lambda *args, **kwargs: "https://example.com/video.mp4",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         # Create a new Webhook.site URL
-        webhook_token, webhook_url = self.create_webhook()
+        webhook_token, webhook_url = await self.create_webhook()
         logger.debug(f"Webhook URL: {webhook_url}")
 
-        audio_url = input_data.background_music.audio_url
-
         payload = {
             "frameRate": input_data.frame_rate,
             "resolution": input_data.resolution,
             "frameDurationMultiplier": 18,
-            "webhook": webhook_url,
+            "webhook": None,
             "creationParams": {
                 "mediaType": input_data.video_style,
                 "captionPresetName": "Wrap 1",
                 "selectedVoice": input_data.voice.voice_id,
                 "hasEnhancedGeneration": True,
                 "generationPreset": input_data.generation_preset.name,
-                "selectedAudio": input_data.background_music,
+                "selectedAudio": input_data.background_music.value,
                 "origin": "/create",
                 "inputText": input_data.script,
                 "flowType": "text-to-video",
@@ -301,12 +311,12 @@ def run(
                 "selectedStoryStyle": {"value": "custom", "label": "Custom"},
                 "hasToGenerateVideos": input_data.video_style
                 != VisualMediaType.STOCK_VIDEOS,
-                "audioUrl": audio_url,
+                "audioUrl": input_data.background_music.audio_url,
             },
         }
 
         logger.debug("Creating video...")
-        response = self.create_video(credentials.api_key, payload)
+        response = await self.create_video(credentials.api_key, payload)
         pid = response.get("pid")
 
         if not pid:
@@ -318,6 +328,370 @@ def run(
             logger.debug(
                 f"Video created with project ID: {pid}. Waiting for completion..."
             )
-            video_url = self.wait_for_video(credentials.api_key, pid, webhook_token)
+            video_url = await self.wait_for_video(credentials.api_key, pid)
             logger.debug(f"Video ready: {video_url}")
             yield "video_url", video_url
+
+
+class AIAdMakerVideoCreatorBlock(Block):
+    """Generates a 30‑second vertical AI advert using optional user‑supplied imagery."""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.REVID], Literal["api_key"]
+        ] = CredentialsField(
+            description="Credentials for Revid.ai API access.",
+        )
+        script: str = SchemaField(
+            description="Short advertising copy. Line breaks create new scenes.",
+            placeholder="Introducing Foobar – [show product photo] the gadget that does it all.",
+        )
+        ratio: str = SchemaField(description="Aspect ratio", default="9 / 16")
+        target_duration: int = SchemaField(
+            description="Desired length of the ad in seconds.", default=30
+        )
+        voice: Voice = SchemaField(
+            description="Narration voice", default=Voice.EVA, placeholder=Voice.EVA
+        )
+        background_music: AudioTrack = SchemaField(
+            description="Background track",
+            default=AudioTrack.DONT_STOP_ME_ABSTRACT_FUTURE_BASS,
+        )
+        input_media_urls: list[str] = SchemaField(
+            description="List of image URLs to feature in the advert.", default=[]
+        )
+        use_only_provided_media: bool = SchemaField(
+            description="Restrict visuals to supplied images only.", default=True
+        )
+
+    class Output(BlockSchema):
+        video_url: str = SchemaField(description="URL of the finished advert")
+        error: str = SchemaField(description="Error message on failure")
+
+    async def create_webhook(self) -> tuple[str, str]:
+        """Create a new webhook URL for receiving notifications."""
+        url = "https://webhook.site/token"
+        headers = {"Accept": "application/json", "Content-Type": "application/json"}
+        response = await Requests().post(url, headers=headers)
+        webhook_data = response.json()
+        return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
+
+    async def create_video(self, api_key: SecretStr, payload: dict) -> dict:
+        """Create a video using the Revid API."""
+        url = "https://www.revid.ai/api/public/v2/render"
+        headers = {"key": api_key.get_secret_value()}
+        response = await Requests().post(url, json=payload, headers=headers)
+        logger.debug(
+            f"API Response Status Code: {response.status}, Content: {response.text}"
+        )
+        return response.json()
+
+    async def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
+        """Check the status of a video creation job."""
+        url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
+        headers = {"key": api_key.get_secret_value()}
+        response = await Requests().get(url, headers=headers)
+        return response.json()
+
+    async def wait_for_video(
+        self,
+        api_key: SecretStr,
+        pid: str,
+        max_wait_time: int = 1000,
+    ) -> str:
+        """Wait for video creation to complete and return the video URL."""
+        start_time = time.time()
+        while time.time() - start_time < max_wait_time:
+            status = await self.check_video_status(api_key, pid)
+            logger.debug(f"Video status: {status}")
+
+            if status.get("status") == "ready" and "videoUrl" in status:
+                return status["videoUrl"]
+            elif status.get("status") == "error":
+                error_message = status.get("error", "Unknown error occurred")
+                logger.error(f"Video creation failed: {error_message}")
+                raise ValueError(f"Video creation failed: {error_message}")
+            elif status.get("status") in ["FAILED", "CANCELED"]:
+                logger.error(f"Video creation failed: {status.get('message')}")
+                raise ValueError(f"Video creation failed: {status.get('message')}")
+
+            await asyncio.sleep(10)
+
+        logger.error("Video creation timed out")
+        raise TimeoutError("Video creation timed out")
+
+    def __init__(self):
+        super().__init__(
+            id="58bd2a19-115d-4fd1-8ca4-13b9e37fa6a0",
+            description="Creates an AI‑generated 30‑second advert (text + images)",
+            categories={BlockCategory.MARKETING, BlockCategory.AI},
+            input_schema=AIAdMakerVideoCreatorBlock.Input,
+            output_schema=AIAdMakerVideoCreatorBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "script": "Test product launch!",
+                "input_media_urls": [
+                    "https://cdn.revid.ai/uploads/1747076315114-image.png",
+                ],
+            },
+            test_output=("video_url", "https://example.com/ad.mp4"),
+            test_mock={
+                "create_webhook": lambda *args, **kwargs: (
+                    "test_uuid",
+                    "https://webhook.site/test_uuid",
+                ),
+                "create_video": lambda *args, **kwargs: {"pid": "test_pid"},
+                "check_video_status": lambda *args, **kwargs: {
+                    "status": "ready",
+                    "videoUrl": "https://example.com/ad.mp4",
+                },
+                "wait_for_video": lambda *args, **kwargs: "https://example.com/ad.mp4",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
+        webhook_token, webhook_url = await self.create_webhook()
+
+        payload = {
+            "webhook": webhook_url,
+            "creationParams": {
+                "targetDuration": input_data.target_duration,
+                "ratio": input_data.ratio,
+                "mediaType": "aiVideo",
+                "inputText": input_data.script,
+                "flowType": "text-to-video",
+                "slug": "ai-ad-generator",
+                "slugNew": "",
+                "isCopiedFrom": False,
+                "hasToGenerateVoice": True,
+                "hasToTranscript": False,
+                "hasToSearchMedia": True,
+                "hasAvatar": False,
+                "hasWebsiteRecorder": False,
+                "hasTextSmallAtBottom": False,
+                "selectedAudio": input_data.background_music.value,
+                "selectedVoice": input_data.voice.voice_id,
+                "selectedAvatar": "https://cdn.revid.ai/avatars/young-woman.mp4",
+                "selectedAvatarType": "video/mp4",
+                "websiteToRecord": "",
+                "hasToGenerateCover": True,
+                "nbGenerations": 1,
+                "disableCaptions": False,
+                "mediaMultiplier": "medium",
+                "characters": [],
+                "captionPresetName": "Revid",
+                "sourceType": "contentScraping",
+                "selectedStoryStyle": {"value": "custom", "label": "General"},
+                "generationPreset": "DEFAULT",
+                "hasToGenerateMusic": False,
+                "isOptimizedForChinese": False,
+                "generationUserPrompt": "",
+                "enableNsfwFilter": False,
+                "addStickers": False,
+                "typeMovingImageAnim": "dynamic",
+                "hasToGenerateSoundEffects": False,
+                "forceModelType": "gpt-image-1",
+                "selectedCharacters": [],
+                "lang": "",
+                "voiceSpeed": 1,
+                "disableAudio": False,
+                "disableVoice": False,
+                "useOnlyProvidedMedia": input_data.use_only_provided_media,
+                "imageGenerationModel": "ultra",
+                "videoGenerationModel": "pro",
+                "hasEnhancedGeneration": True,
+                "hasEnhancedGenerationPro": True,
+                "inputMedias": [
+                    {"url": url, "title": "", "type": "image"}
+                    for url in input_data.input_media_urls
+                ],
+                "hasToGenerateVideos": True,
+                "audioUrl": input_data.background_music.audio_url,
+                "watermark": None,
+            },
+        }
+
+        response = await self.create_video(credentials.api_key, payload)
+        pid = response.get("pid")
+        if not pid:
+            raise RuntimeError("Failed to create video: No project ID returned")
+
+        video_url = await self.wait_for_video(credentials.api_key, pid)
+        yield "video_url", video_url
+
+
+class AIScreenshotToVideoAdBlock(Block):
+    """Creates an advert where the supplied screenshot is narrated by an AI avatar."""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.REVID], Literal["api_key"]
+        ] = CredentialsField(description="Revid.ai API key")
+        script: str = SchemaField(
+            description="Narration that will accompany the screenshot.",
+            placeholder="Check out these amazing stats!",
+        )
+        screenshot_url: str = SchemaField(
+            description="Screenshot or image URL to showcase."
+        )
+        ratio: str = SchemaField(default="9 / 16")
+        target_duration: int = SchemaField(default=30)
+        voice: Voice = SchemaField(default=Voice.EVA)
+        background_music: AudioTrack = SchemaField(
+            default=AudioTrack.DONT_STOP_ME_ABSTRACT_FUTURE_BASS
+        )
+
+    class Output(BlockSchema):
+        video_url: str = SchemaField(description="Rendered video URL")
+        error: str = SchemaField(description="Error, if encountered")
+
+    async def create_webhook(self) -> tuple[str, str]:
+        """Create a new webhook URL for receiving notifications."""
+        url = "https://webhook.site/token"
+        headers = {"Accept": "application/json", "Content-Type": "application/json"}
+        response = await Requests().post(url, headers=headers)
+        webhook_data = response.json()
+        return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
+
+    async def create_video(self, api_key: SecretStr, payload: dict) -> dict:
+        """Create a video using the Revid API."""
+        url = "https://www.revid.ai/api/public/v2/render"
+        headers = {"key": api_key.get_secret_value()}
+        response = await Requests().post(url, json=payload, headers=headers)
+        logger.debug(
+            f"API Response Status Code: {response.status}, Content: {response.text}"
+        )
+        return response.json()
+
+    async def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
+        """Check the status of a video creation job."""
+        url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
+        headers = {"key": api_key.get_secret_value()}
+        response = await Requests().get(url, headers=headers)
+        return response.json()
+
+    async def wait_for_video(
+        self,
+        api_key: SecretStr,
+        pid: str,
+        max_wait_time: int = 1000,
+    ) -> str:
+        """Wait for video creation to complete and return the video URL."""
+        start_time = time.time()
+        while time.time() - start_time < max_wait_time:
+            status = await self.check_video_status(api_key, pid)
+            logger.debug(f"Video status: {status}")
+
+            if status.get("status") == "ready" and "videoUrl" in status:
+                return status["videoUrl"]
+            elif status.get("status") == "error":
+                error_message = status.get("error", "Unknown error occurred")
+                logger.error(f"Video creation failed: {error_message}")
+                raise ValueError(f"Video creation failed: {error_message}")
+            elif status.get("status") in ["FAILED", "CANCELED"]:
+                logger.error(f"Video creation failed: {status.get('message')}")
+                raise ValueError(f"Video creation failed: {status.get('message')}")
+
+            await asyncio.sleep(10)
+
+        logger.error("Video creation timed out")
+        raise TimeoutError("Video creation timed out")
+
+    def __init__(self):
+        super().__init__(
+            id="0f3e4635-e810-43d9-9e81-49e6f4e83b7c",
+            description="Turns a screenshot into an engaging, avatar‑narrated video advert.",
+            categories={BlockCategory.AI, BlockCategory.MARKETING},
+            input_schema=AIScreenshotToVideoAdBlock.Input,
+            output_schema=AIScreenshotToVideoAdBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "script": "Amazing numbers!",
+                "screenshot_url": "https://cdn.revid.ai/uploads/1747080376028-image.png",
+            },
+            test_output=("video_url", "https://example.com/screenshot.mp4"),
+            test_mock={
+                "create_webhook": lambda *args, **kwargs: (
+                    "test_uuid",
+                    "https://webhook.site/test_uuid",
+                ),
+                "create_video": lambda *args, **kwargs: {"pid": "test_pid"},
+                "check_video_status": lambda *args, **kwargs: {
+                    "status": "ready",
+                    "videoUrl": "https://example.com/screenshot.mp4",
+                },
+                "wait_for_video": lambda *args, **kwargs: "https://example.com/screenshot.mp4",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
+        webhook_token, webhook_url = await self.create_webhook()
+
+        payload = {
+            "webhook": webhook_url,
+            "creationParams": {
+                "targetDuration": input_data.target_duration,
+                "ratio": input_data.ratio,
+                "mediaType": "aiVideo",
+                "hasAvatar": True,
+                "removeAvatarBackground": True,
+                "inputText": input_data.script,
+                "flowType": "text-to-video",
+                "slug": "ai-ad-generator",
+                "slugNew": "screenshot-to-video-ad",
+                "isCopiedFrom": "ai-ad-generator",
+                "hasToGenerateVoice": True,
+                "hasToTranscript": False,
+                "hasToSearchMedia": True,
+                "hasWebsiteRecorder": False,
+                "hasTextSmallAtBottom": False,
+                "selectedAudio": input_data.background_music.value,
+                "selectedVoice": input_data.voice.voice_id,
+                "selectedAvatar": "https://cdn.revid.ai/avatars/young-woman.mp4",
+                "selectedAvatarType": "video/mp4",
+                "websiteToRecord": "",
+                "hasToGenerateCover": True,
+                "nbGenerations": 1,
+                "disableCaptions": False,
+                "mediaMultiplier": "medium",
+                "characters": [],
+                "captionPresetName": "Revid",
+                "sourceType": "contentScraping",
+                "selectedStoryStyle": {"value": "custom", "label": "General"},
+                "generationPreset": "DEFAULT",
+                "hasToGenerateMusic": False,
+                "isOptimizedForChinese": False,
+                "generationUserPrompt": "",
+                "enableNsfwFilter": False,
+                "addStickers": False,
+                "typeMovingImageAnim": "dynamic",
+                "hasToGenerateSoundEffects": False,
+                "forceModelType": "gpt-image-1",
+                "selectedCharacters": [],
+                "lang": "",
+                "voiceSpeed": 1,
+                "disableAudio": False,
+                "disableVoice": False,
+                "useOnlyProvidedMedia": True,
+                "imageGenerationModel": "ultra",
+                "videoGenerationModel": "ultra",
+                "hasEnhancedGeneration": True,
+                "hasEnhancedGenerationPro": True,
+                "inputMedias": [
+                    {"url": input_data.screenshot_url, "title": "", "type": "image"}
+                ],
+                "hasToGenerateVideos": True,
+                "audioUrl": input_data.background_music.audio_url,
+                "watermark": None,
+            },
+        }
+
+        response = await self.create_video(credentials.api_key, payload)
+        pid = response.get("pid")
+        if not pid:
+            raise RuntimeError("Failed to create video: No project ID returned")
+
+        video_url = await self.wait_for_video(credentials.api_key, pid)
+        yield "video_url", video_url
diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/__init__.py b/autogpt_platform/backend/backend/blocks/airtable/__init__.py
similarity index 100%
rename from autogpt_platform/autogpt_libs/autogpt_libs/feature_flag/__init__.py
rename to autogpt_platform/backend/backend/blocks/airtable/__init__.py
diff --git a/autogpt_platform/backend/backend/blocks/airtable/_api.py b/autogpt_platform/backend/backend/blocks/airtable/_api.py
new file mode 100644
index 000000000000..4fb9602d9317
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/_api.py
@@ -0,0 +1,1251 @@
+import base64
+from enum import Enum
+from logging import getLogger
+from typing import Any
+from urllib.parse import quote, urlencode
+
+from backend.sdk import BaseModel, Credentials, Requests
+
+logger = getLogger(__name__)
+
+
+def _convert_bools(
+    obj: Any,
+) -> Any:  # noqa: ANN401 – allow Any for deep conversion utility
+    """Recursively walk *obj* and coerce string booleans to real booleans."""
+    if isinstance(obj, str):
+        lowered = obj.lower()
+        if lowered == "true":
+            return True
+        if lowered == "false":
+            return False
+        return obj
+    if isinstance(obj, list):
+        return [_convert_bools(item) for item in obj]
+    if isinstance(obj, dict):
+        return {k: _convert_bools(v) for k, v in obj.items()}
+    return obj
+
+
+class WebhookFilters(BaseModel):
+    dataTypes: list[str]
+    changeTypes: list[str] | None = None
+    fromSources: list[str] | None = None
+    sourceOptions: dict | None = None
+    watchDataInFieldIds: list[str] | None = None
+    watchSchemasOfFieldIds: list[str] | None = None
+
+
+class WebhookIncludes(BaseModel):
+    includeCellValuesInFieldIds: list[str] | str | None = None
+    includePreviousCellValues: bool | None = None
+    includePreviousFieldDefinitions: bool | None = None
+
+
+class WebhookSpecification(BaseModel):
+    recordChangeScope: str | None = None
+    filters: WebhookFilters
+    includes: WebhookIncludes | None = None
+
+
+class WebhookPayload(BaseModel):
+    actionMetadata: dict
+    baseTransactionNumber: int
+    payloadFormat: str
+    timestamp: str
+    changedTablesById: dict | None = None
+    createdTablesById: dict | None = None
+    destroyedTableIds: list[str] | None = None
+    error: bool | None = None
+    code: str | None = None
+
+
+class ListWebhookPayloadsResponse(BaseModel):
+    payloads: list[WebhookPayload]
+    cursor: int | None = None
+    might_have_more: bool | None = None
+    payloadFormat: str
+
+
+class TableFieldType(str, Enum):
+    SINGLE_LINE_TEXT = "singleLineText"
+    EMAIL = "email"
+    URL = "url"
+    MULTILINE_TEXT = "multilineText"
+    NUMBER = "number"
+    PERCENT = "percent"
+    CURRENCY = "currency"
+    SINGLE_SELECT = "singleSelect"
+    MULTIPLE_SELECTS = "multipleSelects"
+    SINGLE_COLLABORATOR = "singleCollaborator"
+    MULTIPLE_COLLABORATORS = "multipleCollaborators"
+    MULTIPLE_RECORD_LINKS = "multipleRecordLinks"
+    DATE = "date"
+    DATE_TIME = "dateTime"
+    PHONE_NUMBER = "phoneNumber"
+    MULTIPLE_ATTACHMENTS = "multipleAttachments"
+    CHECKBOX = "checkbox"
+    FORMULA = "formula"
+    CREATED_TIME = "createdTime"
+    ROLLUP = "rollup"
+    COUNT = "count"
+    LOOKUP = "lookup"
+    MULTIPLE_LOOKUP_VALUES = "multipleLookupValues"
+    AUTO_NUMBER = "autoNumber"
+    BARCODE = "barcode"
+    RATING = "rating"
+    RICH_TEXT = "richText"
+    DURATION = "duration"
+    LAST_MODIFIED_TIME = "lastModifiedTime"
+    BUTTON = "button"
+    CREATED_BY = "createdBy"
+    LAST_MODIFIED_BY = "lastModifiedBy"
+    EXTERNAL_SYNC_SOURCE = "externalSyncSource"
+    AI_TEXT = "aiText"
+
+
+TABLE_FIELD_TYPES = set(type.value for type in TableFieldType)
+
+
+class AirtableTimeZones(str, Enum):
+    UTC = "utc"
+    CLIENT = "client"
+    AFRICA_ABIDJAN = "Africa/Abidjan"
+    AFRICA_ACCRA = "Africa/Accra"
+    AFRICA_ADDIS_ABABA = "Africa/Addis_Ababa"
+    AFRICA_ALGIERS = "Africa/Algiers"
+    AFRICA_ASMARA = "Africa/Asmara"
+    AFRICA_BAMAKO = "Africa/Bamako"
+    AFRICA_BANGUI = "Africa/Bangui"
+    AFRICA_BANJUL = "Africa/Banjul"
+    AFRICA_BISSAU = "Africa/Bissau"
+    AFRICA_BLANTYRE = "Africa/Blantyre"
+    AFRICA_BRAZZAVILLE = "Africa/Brazzaville"
+    AFRICA_BUJUMBURA = "Africa/Bujumbura"
+    AFRICA_CAIRO = "Africa/Cairo"
+    AFRICA_CASABLANCA = "Africa/Casablanca"
+    AFRICA_CEUTA = "Africa/Ceuta"
+    AFRICA_CONAKRY = "Africa/Conakry"
+    AFRICA_DAKAR = "Africa/Dakar"
+    AFRICA_DAR_ES_SALAAM = "Africa/Dar_es_Salaam"
+    AFRICA_DJIBOUTI = "Africa/Djibouti"
+    AFRICA_DOUALA = "Africa/Douala"
+    AFRICA_EL_AAIUN = "Africa/El_Aaiun"
+    AFRICA_FREETOWN = "Africa/Freetown"
+    AFRICA_GABORONE = "Africa/Gaborone"
+    AFRICA_HARARE = "Africa/Harare"
+    AFRICA_JOHANNESBURG = "Africa/Johannesburg"
+    AFRICA_JUBA = "Africa/Juba"
+    AFRICA_KAMPALA = "Africa/Kampala"
+    AFRICA_KHARTOUM = "Africa/Khartoum"
+    AFRICA_KIGALI = "Africa/Kigali"
+    AFRICA_KINSHASA = "Africa/Kinshasa"
+    AFRICA_LAGOS = "Africa/Lagos"
+    AFRICA_LIBREVILLE = "Africa/Libreville"
+    AFRICA_LOME = "Africa/Lome"
+    AFRICA_LUANDA = "Africa/Luanda"
+    AFRICA_LUBUMBASHI = "Africa/Lubumbashi"
+    AFRICA_LUSAKA = "Africa/Lusaka"
+    AFRICA_MALABO = "Africa/Malabo"
+    AFRICA_MAPUTO = "Africa/Maputo"
+    AFRICA_MASERU = "Africa/Maseru"
+    AFRICA_MBABANE = "Africa/Mbabane"
+    AFRICA_MOGADISHU = "Africa/Mogadishu"
+    AFRICA_MONROVIA = "Africa/Monrovia"
+    AFRICA_NAIROBI = "Africa/Nairobi"
+    AFRICA_NDJAMENA = "Africa/Ndjamena"
+    AFRICA_NIAMEY = "Africa/Niamey"
+    AFRICA_NOUAKCHOTT = "Africa/Nouakchott"
+    AFRICA_OUAGADOUGOU = "Africa/Ouagadougou"
+    AFRICA_PORTO_NOVO = "Africa/Porto-Novo"
+    AFRICA_SAO_TOME = "Africa/Sao_Tome"
+    AFRICA_TRIPOLI = "Africa/Tripoli"
+    AFRICA_TUNIS = "Africa/Tunis"
+    AFRICA_WINDHOEK = "Africa/Windhoek"
+    AMERICA_ADAK = "America/Adak"
+    AMERICA_ANCHORAGE = "America/Anchorage"
+    AMERICA_ANGUILLA = "America/Anguilla"
+    AMERICA_ANTIGUA = "America/Antigua"
+    AMERICA_ARAGUAINA = "America/Araguaina"
+    AMERICA_ARGENTINA_BUENOS_AIRES = "America/Argentina/Buenos_Aires"
+    AMERICA_ARGENTINA_CATAMARCA = "America/Argentina/Catamarca"
+    AMERICA_ARGENTINA_CORDOBA = "America/Argentina/Cordoba"
+    AMERICA_ARGENTINA_JUJUY = "America/Argentina/Jujuy"
+    AMERICA_ARGENTINA_LA_RIOJA = "America/Argentina/La_Rioja"
+    AMERICA_ARGENTINA_MENDOZA = "America/Argentina/Mendoza"
+    AMERICA_ARGENTINA_RIO_GALLEGOS = "America/Argentina/Rio_Gallegos"
+    AMERICA_ARGENTINA_SALTA = "America/Argentina/Salta"
+    AMERICA_ARGENTINA_SAN_JUAN = "America/Argentina/San_Juan"
+    AMERICA_ARGENTINA_SAN_LUIS = "America/Argentina/San_Luis"
+    AMERICA_ARGENTINA_TUCUMAN = "America/Argentina/Tucuman"
+    AMERICA_ARGENTINA_USHUAIA = "America/Argentina/Ushuaia"
+    AMERICA_ARUBA = "America/Aruba"
+    AMERICA_ASUNCION = "America/Asuncion"
+    AMERICA_ATIKOKAN = "America/Atikokan"
+    AMERICA_BAHIA = "America/Bahia"
+    AMERICA_BAHIA_BANDERAS = "America/Bahia_Banderas"
+    AMERICA_BARBADOS = "America/Barbados"
+    AMERICA_BELEM = "America/Belem"
+    AMERICA_BELIZE = "America/Belize"
+    AMERICA_BLANC_SABLON = "America/Blanc-Sablon"
+    AMERICA_BOA_VISTA = "America/Boa_Vista"
+    AMERICA_BOGOTA = "America/Bogota"
+    AMERICA_BOISE = "America/Boise"
+    AMERICA_CAMBRIDGE_BAY = "America/Cambridge_Bay"
+    AMERICA_CAMPO_GRANDE = "America/Campo_Grande"
+    AMERICA_CANCUN = "America/Cancun"
+    AMERICA_CARACAS = "America/Caracas"
+    AMERICA_CAYENNE = "America/Cayenne"
+    AMERICA_CAYMAN = "America/Cayman"
+    AMERICA_CHICAGO = "America/Chicago"
+    AMERICA_CHIHUAHUA = "America/Chihuahua"
+    AMERICA_COSTA_RICA = "America/Costa_Rica"
+    AMERICA_CRESTON = "America/Creston"
+    AMERICA_CUIABA = "America/Cuiaba"
+    AMERICA_CURACAO = "America/Curacao"
+    AMERICA_DANMARKSHAVN = "America/Danmarkshavn"
+    AMERICA_DAWSON = "America/Dawson"
+    AMERICA_DAWSON_CREEK = "America/Dawson_Creek"
+    AMERICA_DENVER = "America/Denver"
+    AMERICA_DETROIT = "America/Detroit"
+    AMERICA_DOMINICA = "America/Dominica"
+    AMERICA_EDMONTON = "America/Edmonton"
+    AMERICA_EIRUNEPE = "America/Eirunepe"
+    AMERICA_EL_SALVADOR = "America/El_Salvador"
+    AMERICA_FORT_NELSON = "America/Fort_Nelson"
+    AMERICA_FORTALEZA = "America/Fortaleza"
+    AMERICA_GLACE_BAY = "America/Glace_Bay"
+    AMERICA_GODTHAB = "America/Godthab"
+    AMERICA_GOOSE_BAY = "America/Goose_Bay"
+    AMERICA_GRAND_TURK = "America/Grand_Turk"
+    AMERICA_GRENADA = "America/Grenada"
+    AMERICA_GUADELOUPE = "America/Guadeloupe"
+    AMERICA_GUATEMALA = "America/Guatemala"
+    AMERICA_GUAYAQUIL = "America/Guayaquil"
+    AMERICA_GUYANA = "America/Guyana"
+    AMERICA_HALIFAX = "America/Halifax"
+    AMERICA_HAVANA = "America/Havana"
+    AMERICA_HERMOSILLO = "America/Hermosillo"
+    AMERICA_INDIANA_INDIANAPOLIS = "America/Indiana/Indianapolis"
+    AMERICA_INDIANA_KNOX = "America/Indiana/Knox"
+    AMERICA_INDIANA_MARENGO = "America/Indiana/Marengo"
+    AMERICA_INDIANA_PETERSBURG = "America/Indiana/Petersburg"
+    AMERICA_INDIANA_TELL_CITY = "America/Indiana/Tell_City"
+    AMERICA_INDIANA_VEVAY = "America/Indiana/Vevay"
+    AMERICA_INDIANA_VINCENNES = "America/Indiana/Vincennes"
+    AMERICA_INDIANA_WINAMAC = "America/Indiana/Winamac"
+    AMERICA_INUVIK = "America/Inuvik"
+    AMERICA_IQALUIT = "America/Iqaluit"
+    AMERICA_JAMAICA = "America/Jamaica"
+    AMERICA_JUNEAU = "America/Juneau"
+    AMERICA_KENTUCKY_LOUISVILLE = "America/Kentucky/Louisville"
+    AMERICA_KENTUCKY_MONTICELLO = "America/Kentucky/Monticello"
+    AMERICA_KRALENDIJK = "America/Kralendijk"
+    AMERICA_LA_PAZ = "America/La_Paz"
+    AMERICA_LIMA = "America/Lima"
+    AMERICA_LOS_ANGELES = "America/Los_Angeles"
+    AMERICA_LOWER_PRINCES = "America/Lower_Princes"
+    AMERICA_MACEIO = "America/Maceio"
+    AMERICA_MANAGUA = "America/Managua"
+    AMERICA_MANAUS = "America/Manaus"
+    AMERICA_MARIGOT = "America/Marigot"
+    AMERICA_MARTINIQUE = "America/Martinique"
+    AMERICA_MATAMOROS = "America/Matamoros"
+    AMERICA_MAZATLAN = "America/Mazatlan"
+    AMERICA_MENOMINEE = "America/Menominee"
+    AMERICA_MERIDA = "America/Merida"
+    AMERICA_METLAKATLA = "America/Metlakatla"
+    AMERICA_MEXICO_CITY = "America/Mexico_City"
+    AMERICA_MIQUELON = "America/Miquelon"
+    AMERICA_MONCTON = "America/Moncton"
+    AMERICA_MONTERREY = "America/Monterrey"
+    AMERICA_MONTEVIDEO = "America/Montevideo"
+    AMERICA_MONTSERRAT = "America/Montserrat"
+    AMERICA_NASSAU = "America/Nassau"
+    AMERICA_NEW_YORK = "America/New_York"
+    AMERICA_NIPIGON = "America/Nipigon"
+    AMERICA_NOME = "America/Nome"
+    AMERICA_NORONHA = "America/Noronha"
+    AMERICA_NORTH_DAKOTA_BEULAH = "America/North_Dakota/Beulah"
+    AMERICA_NORTH_DAKOTA_CENTER = "America/North_Dakota/Center"
+    AMERICA_NORTH_DAKOTA_NEW_SALEM = "America/North_Dakota/New_Salem"
+    AMERICA_NUUK = "America/Nuuk"
+    AMERICA_OJINAGA = "America/Ojinaga"
+    AMERICA_PANAMA = "America/Panama"
+    AMERICA_PANGNIRTUNG = "America/Pangnirtung"
+    AMERICA_PARAMARIBO = "America/Paramaribo"
+    AMERICA_PHOENIX = "America/Phoenix"
+    AMERICA_PORT_AU_PRINCE = "America/Port-au-Prince"
+    AMERICA_PORT_OF_SPAIN = "America/Port_of_Spain"
+    AMERICA_PORTO_VELHO = "America/Porto_Velho"
+    AMERICA_PUERTO_RICO = "America/Puerto_Rico"
+    AMERICA_PUNTA_ARENAS = "America/Punta_Arenas"
+    AMERICA_RAINY_RIVER = "America/Rainy_River"
+    AMERICA_RANKIN_INLET = "America/Rankin_Inlet"
+    AMERICA_RECIFE = "America/Recife"
+    AMERICA_REGINA = "America/Regina"
+    AMERICA_RESOLUTE = "America/Resolute"
+    AMERICA_RIO_BRANCO = "America/Rio_Branco"
+    AMERICA_SANTAREM = "America/Santarem"
+    AMERICA_SANTIAGO = "America/Santiago"
+    AMERICA_SANTO_DOMINGO = "America/Santo_Domingo"
+    AMERICA_SAO_PAULO = "America/Sao_Paulo"
+    AMERICA_SCORESBYSUND = "America/Scoresbysund"
+    AMERICA_SITKA = "America/Sitka"
+    AMERICA_ST_BARTHELEMY = "America/St_Barthelemy"
+    AMERICA_ST_JOHNS = "America/St_Johns"
+    AMERICA_ST_KITTS = "America/St_Kitts"
+    AMERICA_ST_LUCIA = "America/St_Lucia"
+    AMERICA_ST_THOMAS = "America/St_Thomas"
+    AMERICA_ST_VINCENT = "America/St_Vincent"
+    AMERICA_SWIFT_CURRENT = "America/Swift_Current"
+    AMERICA_TEGUCIGALPA = "America/Tegucigalpa"
+    AMERICA_THULE = "America/Thule"
+    AMERICA_THUNDER_BAY = "America/Thunder_Bay"
+    AMERICA_TIJUANA = "America/Tijuana"
+    AMERICA_TORONTO = "America/Toronto"
+    AMERICA_TORTOLA = "America/Tortola"
+    AMERICA_VANCOUVER = "America/Vancouver"
+    AMERICA_WHITEHORSE = "America/Whitehorse"
+    AMERICA_WINNIPEG = "America/Winnipeg"
+    AMERICA_YAKUTAT = "America/Yakutat"
+    AMERICA_YELLOWKNIFE = "America/Yellowknife"
+    ANTARCTICA_CASEY = "Antarctica/Casey"
+    ANTARCTICA_DAVIS = "Antarctica/Davis"
+    ANTARCTICA_DUMONT_DURVILLE = "Antarctica/DumontDUrville"
+    ANTARCTICA_MACQUARIE = "Antarctica/Macquarie"
+    ANTARCTICA_MAWSON = "Antarctica/Mawson"
+    ANTARCTICA_MCMURDO = "Antarctica/McMurdo"
+    ANTARCTICA_PALMER = "Antarctica/Palmer"
+    ANTARCTICA_ROTHERA = "Antarctica/Rothera"
+    ANTARCTICA_SYOWA = "Antarctica/Syowa"
+    ANTARCTICA_TROLL = "Antarctica/Troll"
+    ANTARCTICA_VOSTOK = "Antarctica/Vostok"
+    ARCTIC_LONGYEARBYEN = "Arctic/Longyearbyen"
+    ASIA_ADEN = "Asia/Aden"
+    ASIA_ALMATY = "Asia/Almaty"
+    ASIA_AMMAN = "Asia/Amman"
+    ASIA_ANADYR = "Asia/Anadyr"
+    ASIA_AQTAU = "Asia/Aqtau"
+    ASIA_AQTOBE = "Asia/Aqtobe"
+    ASIA_ASHGABAT = "Asia/Ashgabat"
+    ASIA_ATYRAU = "Asia/Atyrau"
+    ASIA_BAGHDAD = "Asia/Baghdad"
+    ASIA_BAHRAIN = "Asia/Bahrain"
+    ASIA_BAKU = "Asia/Baku"
+    ASIA_BANGKOK = "Asia/Bangkok"
+    ASIA_BARNAUL = "Asia/Barnaul"
+    ASIA_BEIRUT = "Asia/Beirut"
+    ASIA_BISHKEK = "Asia/Bishkek"
+    ASIA_BRUNEI = "Asia/Brunei"
+    ASIA_CHITA = "Asia/Chita"
+    ASIA_CHOIBALSAN = "Asia/Choibalsan"
+    ASIA_COLOMBO = "Asia/Colombo"
+    ASIA_DAMASCUS = "Asia/Damascus"
+    ASIA_DHAKA = "Asia/Dhaka"
+    ASIA_DILI = "Asia/Dili"
+    ASIA_DUBAI = "Asia/Dubai"
+    ASIA_DUSHANBE = "Asia/Dushanbe"
+    ASIA_FAMAGUSTA = "Asia/Famagusta"
+    ASIA_GAZA = "Asia/Gaza"
+    ASIA_HEBRON = "Asia/Hebron"
+    ASIA_HO_CHI_MINH = "Asia/Ho_Chi_Minh"
+    ASIA_HONG_KONG = "Asia/Hong_Kong"
+    ASIA_HOVD = "Asia/Hovd"
+    ASIA_IRKUTSK = "Asia/Irkutsk"
+    ASIA_ISTANBUL = "Asia/Istanbul"
+    ASIA_JAKARTA = "Asia/Jakarta"
+    ASIA_JAYAPURA = "Asia/Jayapura"
+    ASIA_JERUSALEM = "Asia/Jerusalem"
+    ASIA_KABUL = "Asia/Kabul"
+    ASIA_KAMCHATKA = "Asia/Kamchatka"
+    ASIA_KARACHI = "Asia/Karachi"
+    ASIA_KATHMANDU = "Asia/Kathmandu"
+    ASIA_KHANDYGA = "Asia/Khandyga"
+    ASIA_KOLKATA = "Asia/Kolkata"
+    ASIA_KRASNOYARSK = "Asia/Krasnoyarsk"
+    ASIA_KUALA_LUMPUR = "Asia/Kuala_Lumpur"
+    ASIA_KUCHING = "Asia/Kuching"
+    ASIA_KUWAIT = "Asia/Kuwait"
+    ASIA_MACAU = "Asia/Macau"
+    ASIA_MAGADAN = "Asia/Magadan"
+    ASIA_MAKASSAR = "Asia/Makassar"
+    ASIA_MANILA = "Asia/Manila"
+    ASIA_MUSCAT = "Asia/Muscat"
+    ASIA_NICOSIA = "Asia/Nicosia"
+    ASIA_NOVOKUZNETSK = "Asia/Novokuznetsk"
+    ASIA_NOVOSIBIRSK = "Asia/Novosibirsk"
+    ASIA_OMSK = "Asia/Omsk"
+    ASIA_ORAL = "Asia/Oral"
+    ASIA_PHNOM_PENH = "Asia/Phnom_Penh"
+    ASIA_PONTIANAK = "Asia/Pontianak"
+    ASIA_PYONGYANG = "Asia/Pyongyang"
+    ASIA_QATAR = "Asia/Qatar"
+    ASIA_QOSTANAY = "Asia/Qostanay"
+    ASIA_QYZYLORDA = "Asia/Qyzylorda"
+    ASIA_RANGOON = "Asia/Rangoon"
+    ASIA_RIYADH = "Asia/Riyadh"
+    ASIA_SAKHALIN = "Asia/Sakhalin"
+    ASIA_SAMARKAND = "Asia/Samarkand"
+    ASIA_SEOUL = "Asia/Seoul"
+    ASIA_SHANGHAI = "Asia/Shanghai"
+    ASIA_SINGAPORE = "Asia/Singapore"
+    ASIA_SREDNEKOLYMSK = "Asia/Srednekolymsk"
+    ASIA_TAIPEI = "Asia/Taipei"
+    ASIA_TASHKENT = "Asia/Tashkent"
+    ASIA_TBILISI = "Asia/Tbilisi"
+    ASIA_TEHRAN = "Asia/Tehran"
+    ASIA_THIMPHU = "Asia/Thimphu"
+    ASIA_TOKYO = "Asia/Tokyo"
+    ASIA_TOMSK = "Asia/Tomsk"
+    ASIA_ULAANBAATAR = "Asia/Ulaanbaatar"
+    ASIA_URUMQI = "Asia/Urumqi"
+    ASIA_UST_NERA = "Asia/Ust-Nera"
+    ASIA_VIENTIANE = "Asia/Vientiane"
+    ASIA_VLADIVOSTOK = "Asia/Vladivostok"
+    ASIA_YAKUTSK = "Asia/Yakutsk"
+    ASIA_YANGON = "Asia/Yangon"
+    ASIA_YEKATERINBURG = "Asia/Yekaterinburg"
+    ASIA_YEREVAN = "Asia/Yerevan"
+    ATLANTIC_AZORES = "Atlantic/Azores"
+    ATLANTIC_BERMUDA = "Atlantic/Bermuda"
+    ATLANTIC_CANARY = "Atlantic/Canary"
+    ATLANTIC_CAPE_VERDE = "Atlantic/Cape_Verde"
+    ATLANTIC_FAROE = "Atlantic/Faroe"
+    ATLANTIC_MADEIRA = "Atlantic/Madeira"
+    ATLANTIC_REYKJAVIK = "Atlantic/Reykjavik"
+    ATLANTIC_SOUTH_GEORGIA = "Atlantic/South_Georgia"
+    ATLANTIC_ST_HELENA = "Atlantic/St_Helena"
+    ATLANTIC_STANLEY = "Atlantic/Stanley"
+    AUSTRALIA_ADELAIDE = "Australia/Adelaide"
+    AUSTRALIA_BRISBANE = "Australia/Brisbane"
+    AUSTRALIA_BROKEN_HILL = "Australia/Broken_Hill"
+    AUSTRALIA_CURRIE = "Australia/Currie"
+    AUSTRALIA_DARWIN = "Australia/Darwin"
+    AUSTRALIA_EUCLA = "Australia/Eucla"
+    AUSTRALIA_HOBART = "Australia/Hobart"
+    AUSTRALIA_LINDEMAN = "Australia/Lindeman"
+    AUSTRALIA_LORD_HOWE = "Australia/Lord_Howe"
+    AUSTRALIA_MELBOURNE = "Australia/Melbourne"
+    AUSTRALIA_PERTH = "Australia/Perth"
+    AUSTRALIA_SYDNEY = "Australia/Sydney"
+    EUROPE_AMSTERDAM = "Europe/Amsterdam"
+    EUROPE_ANDORRA = "Europe/Andorra"
+    EUROPE_ASTRAKHAN = "Europe/Astrakhan"
+    EUROPE_ATHENS = "Europe/Athens"
+    EUROPE_BELGRADE = "Europe/Belgrade"
+    EUROPE_BERLIN = "Europe/Berlin"
+    EUROPE_BRATISLAVA = "Europe/Bratislava"
+    EUROPE_BRUSSELS = "Europe/Brussels"
+    EUROPE_BUCHAREST = "Europe/Bucharest"
+    EUROPE_BUDAPEST = "Europe/Budapest"
+    EUROPE_BUSINGEN = "Europe/Busingen"
+    EUROPE_CHISINAU = "Europe/Chisinau"
+    EUROPE_COPENHAGEN = "Europe/Copenhagen"
+    EUROPE_DUBLIN = "Europe/Dublin"
+    EUROPE_GIBRALTAR = "Europe/Gibraltar"
+    EUROPE_GUERNSEY = "Europe/Guernsey"
+    EUROPE_HELSINKI = "Europe/Helsinki"
+    EUROPE_ISLE_OF_MAN = "Europe/Isle_of_Man"
+    EUROPE_ISTANBUL = "Europe/Istanbul"
+    EUROPE_JERSEY = "Europe/Jersey"
+    EUROPE_KALININGRAD = "Europe/Kaliningrad"
+    EUROPE_KIEV = "Europe/Kiev"
+    EUROPE_KIROV = "Europe/Kirov"
+    EUROPE_LISBON = "Europe/Lisbon"
+    EUROPE_LJUBLJANA = "Europe/Ljubljana"
+    EUROPE_LONDON = "Europe/London"
+    EUROPE_LUXEMBOURG = "Europe/Luxembourg"
+    EUROPE_MADRID = "Europe/Madrid"
+    EUROPE_MALTA = "Europe/Malta"
+    EUROPE_MARIEHAMN = "Europe/Mariehamn"
+    EUROPE_MINSK = "Europe/Minsk"
+    EUROPE_MONACO = "Europe/Monaco"
+    EUROPE_MOSCOW = "Europe/Moscow"
+    EUROPE_NICOSIA = "Europe/Nicosia"
+    EUROPE_OSLO = "Europe/Oslo"
+    EUROPE_PARIS = "Europe/Paris"
+    EUROPE_PODGORICA = "Europe/Podgorica"
+    EUROPE_PRAGUE = "Europe/Prague"
+    EUROPE_RIGA = "Europe/Riga"
+    EUROPE_ROME = "Europe/Rome"
+    EUROPE_SAMARA = "Europe/Samara"
+    EUROPE_SAN_MARINO = "Europe/San_Marino"
+    EUROPE_SARAJEVO = "Europe/Sarajevo"
+    EUROPE_SARATOV = "Europe/Saratov"
+    EUROPE_SIMFEROPOL = "Europe/Simferopol"
+    EUROPE_SKOPJE = "Europe/Skopje"
+    EUROPE_SOFIA = "Europe/Sofia"
+    EUROPE_STOCKHOLM = "Europe/Stockholm"
+    EUROPE_TALLINN = "Europe/Tallinn"
+    EUROPE_TIRANE = "Europe/Tirane"
+    EUROPE_ULYANOVSK = "Europe/Ulyanovsk"
+    EUROPE_UZHGOROD = "Europe/Uzhgorod"
+    EUROPE_VADUZ = "Europe/Vaduz"
+    EUROPE_VATICAN = "Europe/Vatican"
+    EUROPE_VIENNA = "Europe/Vienna"
+    EUROPE_VILNIUS = "Europe/Vilnius"
+    EUROPE_VOLGOGRAD = "Europe/Volgograd"
+    EUROPE_WARSAW = "Europe/Warsaw"
+    EUROPE_ZAGREB = "Europe/Zagreb"
+    EUROPE_ZAPOROZHYE = "Europe/Zaporozhye"
+    EUROPE_ZURICH = "Europe/Zurich"
+    INDIAN_ANTANANARIVO = "Indian/Antananarivo"
+    INDIAN_CHAGOS = "Indian/Chagos"
+    INDIAN_CHRISTMAS = "Indian/Christmas"
+    INDIAN_COCOS = "Indian/Cocos"
+    INDIAN_COMORO = "Indian/Comoro"
+    INDIAN_KERGUELEN = "Indian/Kerguelen"
+    INDIAN_MAHE = "Indian/Mahe"
+    INDIAN_MALDIVES = "Indian/Maldives"
+    INDIAN_MAURITIUS = "Indian/Mauritius"
+    INDIAN_MAYOTTE = "Indian/Mayotte"
+    INDIAN_REUNION = "Indian/Reunion"
+    PACIFIC_APIA = "Pacific/Apia"
+    PACIFIC_AUCKLAND = "Pacific/Auckland"
+    PACIFIC_BOUGAINVILLE = "Pacific/Bougainville"
+    PACIFIC_CHATHAM = "Pacific/Chatham"
+    PACIFIC_CHUUK = "Pacific/Chuuk"
+    PACIFIC_EASTER = "Pacific/Easter"
+    PACIFIC_EFATE = "Pacific/Efate"
+    PACIFIC_ENDERBURY = "Pacific/Enderbury"
+    PACIFIC_FAKAOFO = "Pacific/Fakaofo"
+    PACIFIC_FIJI = "Pacific/Fiji"
+    PACIFIC_FUNAFUTI = "Pacific/Funafuti"
+    PACIFIC_GALAPAGOS = "Pacific/Galapagos"
+    PACIFIC_GAMBIER = "Pacific/Gambier"
+    PACIFIC_GUADALCANAL = "Pacific/Guadalcanal"
+    PACIFIC_GUAM = "Pacific/Guam"
+    PACIFIC_HONOLULU = "Pacific/Honolulu"
+    PACIFIC_KANTON = "Pacific/Kanton"
+    PACIFIC_KIRITIMATI = "Pacific/Kiritimati"
+    PACIFIC_KOSRAE = "Pacific/Kosrae"
+    PACIFIC_KWAJALEIN = "Pacific/Kwajalein"
+    PACIFIC_MAJURO = "Pacific/Majuro"
+    PACIFIC_MARQUESAS = "Pacific/Marquesas"
+    PACIFIC_MIDWAY = "Pacific/Midway"
+    PACIFIC_NAURU = "Pacific/Nauru"
+    PACIFIC_NIUE = "Pacific/Niue"
+    PACIFIC_NORFOLK = "Pacific/Norfolk"
+    PACIFIC_NOUMEA = "Pacific/Noumea"
+    PACIFIC_PAGO_PAGO = "Pacific/Pago_Pago"
+    PACIFIC_PALAU = "Pacific/Palau"
+    PACIFIC_PITCAIRN = "Pacific/Pitcairn"
+    PACIFIC_POHNPEI = "Pacific/Pohnpei"
+    PACIFIC_PORT_MORESBY = "Pacific/Port_Moresby"
+    PACIFIC_RAROTONGA = "Pacific/Rarotonga"
+    PACIFIC_SAIPAN = "Pacific/Saipan"
+    PACIFIC_TAHITI = "Pacific/Tahiti"
+    PACIFIC_TARAWA = "Pacific/Tarawa"
+    PACIFIC_TONGATAPU = "Pacific/Tongatapu"
+    PACIFIC_WAKE = "Pacific/Wake"
+    PACIFIC_WALLIS = "Pacific/Wallis"
+
+
+#################################################################
+# Schema Management (Tables and Fields)
+# NOTE: No delete operations are available in the Airtable API
+#################################################################
+
+
+async def create_table(
+    credentials: Credentials,
+    base_id: str,
+    table_name: str,
+    table_fields: list[dict],
+) -> dict:
+    for field in table_fields:
+        assert field.get("name"), "Field name is required"
+        assert (
+            field.get("type") in TABLE_FIELD_TYPES
+        ), f"Field type {field.get('type')} is not valid. Valid types are {TABLE_FIELD_TYPES}."
+        # Note fields have differnet options for different types we are not currently validating them
+
+    response = await Requests().post(
+        f"https://api.airtable.com/v0/meta/bases/{base_id}/tables",
+        headers={"Authorization": credentials.auth_header()},
+        json={
+            "name": table_name,
+            "fields": table_fields,
+        },
+    )
+
+    return response.json()
+
+
+async def update_table(
+    credentials: Credentials,
+    base_id: str,
+    table_id: str,
+    table_name: str | None = None,
+    table_description: str | None = None,
+    date_dependency: dict | None = None,
+) -> dict:
+
+    assert (
+        table_name or table_description or date_dependency
+    ), "At least one of table_name, table_description, or date_dependency must be provided"
+
+    params: dict[str, str | dict[str, str]] = {}
+    if table_name:
+        params["name"] = table_name
+    if table_description:
+        params["description"] = table_description
+    if date_dependency:
+        params["dateDependency"] = date_dependency
+
+    response = await Requests().patch(
+        f"https://api.airtable.com/v0/meta/bases/{base_id}/tables/{table_id}",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+
+    return response.json()
+
+
+async def create_field(
+    credentials: Credentials,
+    base_id: str,
+    table_id: str,
+    field_type: TableFieldType,
+    name: str,
+    description: str | None = None,
+    options: dict[str, str] | None = None,
+) -> dict[str, str | dict[str, str]]:
+
+    assert (
+        field_type in TABLE_FIELD_TYPES
+    ), f"Field type {field_type} is not valid. Valid types are {TABLE_FIELD_TYPES}."
+    params: dict[str, str | dict[str, str]] = {}
+    params["type"] = field_type
+    params["name"] = name
+    if description:
+        params["description"] = description
+    if options:
+        params["options"] = options
+
+    response = await Requests().post(
+        f"https://api.airtable.com/v0/meta/bases/{base_id}/tables/{table_id}/fields",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+    return response.json()
+
+
+async def update_field(
+    credentials: Credentials,
+    base_id: str,
+    table_id: str,
+    field_id: str,
+    name: str | None = None,
+    description: str | None = None,
+) -> dict[str, str]:
+
+    assert name or description, "At least one of name or description must be provided"
+    params: dict[str, str | dict[str, str]] = {}
+    if name:
+        params["name"] = name
+    if description:
+        params["description"] = description
+
+    response = await Requests().patch(
+        f"https://api.airtable.com/v0/meta/bases/{base_id}/tables/{table_id}/fields/{field_id}",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+    return response.json()
+
+
+#################################################################
+# Record Management
+#################################################################
+
+
+async def list_records(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    # Query parameters
+    time_zone: AirtableTimeZones | None = None,
+    user_local: str | None = None,
+    page_size: int | None = None,
+    max_records: int | None = None,
+    offset: str | None = None,
+    view: str | None = None,
+    sort: list[dict[str, str]] | None = None,
+    filter_by_formula: str | None = None,
+    cell_format: dict[str, str] | None = None,
+    fields: list[str] | None = None,
+    return_fields_by_field_id: bool | None = None,
+    record_metadata: list[str] | None = None,
+) -> dict[str, list[dict[str, dict[str, str]]]]:
+
+    params: dict[str, str | dict[str, str] | list[dict[str, str]] | list[str]] = {}
+    if time_zone:
+        params["timeZone"] = time_zone
+    if user_local:
+        params["userLocal"] = user_local
+    if page_size:
+        params["pageSize"] = str(page_size)
+    if max_records:
+        params["maxRecords"] = str(max_records)
+    if offset:
+        params["offset"] = offset
+    if view:
+        params["view"] = view
+    if sort:
+        params["sort"] = sort
+    if filter_by_formula:
+        params["filterByFormula"] = filter_by_formula
+    if cell_format:
+        params["cellFormat"] = cell_format
+    if fields:
+        params["fields"] = fields
+    if return_fields_by_field_id:
+        params["returnFieldsByFieldId"] = str(return_fields_by_field_id)
+    if record_metadata:
+        params["recordMetadata"] = record_metadata
+
+    response = await Requests().get(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+    return response.json()
+
+
+async def get_record(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    record_id: str,
+) -> dict[str, dict[str, dict[str, str]]]:
+
+    response = await Requests().get(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}/{record_id}",
+        headers={"Authorization": credentials.auth_header()},
+    )
+    return response.json()
+
+
+async def update_multiple_records(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    records: list[dict[str, dict[str, str]]],
+    perform_upsert: dict[str, list[str]] | None = None,
+    return_fields_by_field_id: bool | None = None,
+    typecast: bool | None = None,
+) -> dict[str, dict[str, dict[str, str]]]:
+
+    params: dict[
+        str, str | bool | dict[str, list[str]] | list[dict[str, dict[str, str]]]
+    ] = {}
+    if perform_upsert:
+        params["performUpsert"] = perform_upsert
+    if return_fields_by_field_id:
+        params["returnFieldsByFieldId"] = str(return_fields_by_field_id)
+    if typecast:
+        params["typecast"] = typecast
+
+    params["records"] = [_convert_bools(record) for record in records]
+
+    response = await Requests().patch(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+    return response.json()
+
+
+async def update_record(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    record_id: str,
+    return_fields_by_field_id: bool | None = None,
+    typecast: bool | None = None,
+    fields: dict[str, Any] | None = None,
+) -> dict[str, dict[str, dict[str, str]]]:
+    params: dict[str, str | bool | dict[str, Any] | list[dict[str, dict[str, str]]]] = (
+        {}
+    )
+    if return_fields_by_field_id:
+        params["returnFieldsByFieldId"] = return_fields_by_field_id
+    if typecast:
+        params["typecast"] = typecast
+    if fields:
+        params["fields"] = fields
+
+    response = await Requests().patch(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}/{record_id}",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+    return response.json()
+
+
+async def create_record(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    fields: dict[str, Any] | None = None,
+    records: list[dict[str, Any]] | None = None,
+    return_fields_by_field_id: bool | None = None,
+    typecast: bool | None = None,
+) -> dict[str, dict[str, dict[str, str]]]:
+    assert fields or records, "At least one of fields or records must be provided"
+    assert not (fields and records), "Only one of fields or records can be provided"
+    if records is not None:
+        assert (
+            len(records) <= 10
+        ), "Only up to 10 records can be provided when using records"
+
+    params: dict[str, str | bool | dict[str, Any] | list[dict[str, Any]]] = {}
+    if fields:
+        params["fields"] = fields
+    if records:
+        params["records"] = records
+    if return_fields_by_field_id:
+        params["returnFieldsByFieldId"] = return_fields_by_field_id
+    if typecast:
+        params["typecast"] = typecast
+
+    response = await Requests().post(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+
+    return response.json()
+
+
+async def delete_multiple_records(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    records: list[str],
+) -> dict[str, dict[str, dict[str, str]]]:
+
+    query_string = "&".join([f"records[]={quote(record)}" for record in records])
+    response = await Requests().delete(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}?{query_string}",
+        headers={"Authorization": credentials.auth_header()},
+    )
+    return response.json()
+
+
+async def delete_record(
+    credentials: Credentials,
+    base_id: str,
+    table_id_or_name: str,
+    record_id: str,
+) -> dict[str, dict[str, dict[str, str]]]:
+
+    response = await Requests().delete(
+        f"https://api.airtable.com/v0/{base_id}/{table_id_or_name}/{record_id}",
+        headers={"Authorization": credentials.auth_header()},
+    )
+    return response.json()
+
+
+async def create_webhook(
+    credentials: Credentials,
+    base_id: str,
+    webhook_specification: WebhookSpecification,
+    notification_url: str | None = None,
+) -> Any:
+
+    params: dict[str, Any] = {
+        "specification": {
+            "options": {
+                "filters": webhook_specification.filters.model_dump(exclude_unset=True),
+            }
+        },
+    }
+    if webhook_specification.includes:
+        params["specification"]["options"]["includes"] = (
+            webhook_specification.includes.model_dump(exclude_unset=True)
+        )
+    if notification_url:
+        params["notificationUrl"] = notification_url
+
+    response = await Requests().post(
+        f"https://api.airtable.com/v0/bases/{base_id}/webhooks",
+        headers={"Authorization": credentials.auth_header()},
+        json=_convert_bools(params),
+    )
+    return response.json()
+
+
+async def delete_webhook(
+    credentials: Credentials,
+    base_id: str,
+    webhook_id: str,
+) -> Any:
+
+    response = await Requests().delete(
+        f"https://api.airtable.com/v0/bases/{base_id}/webhooks/{webhook_id}",
+        headers={"Authorization": credentials.auth_header()},
+    )
+    return response.json()
+
+
+async def list_webhook_payloads(
+    credentials: Credentials,
+    base_id: str,
+    webhook_id: str,
+    cursor: str | None = None,
+    limit: int | None = None,
+) -> ListWebhookPayloadsResponse:
+
+    query_string = ""
+    if cursor:
+        query_string += f"cursor={cursor}"
+    if limit:
+        query_string += f"limit={limit}"
+
+    if query_string:
+        query_string = f"?{query_string}"
+
+    response = await Requests().get(
+        f"https://api.airtable.com/v0/bases/{base_id}/webhooks/{webhook_id}/payloads{query_string}",
+        headers={"Authorization": credentials.auth_header()},
+    )
+    try:
+        logger.info(f"Response: {response.json()}")
+        return ListWebhookPayloadsResponse(
+            payloads=response.json().get("payloads", []),
+            cursor=response.json().get("cursor"),
+            might_have_more=response.json().get("might_have_more") == "True",
+            payloadFormat=response.json().get("payloadFormat", "v0"),
+        )
+    except Exception as e:
+        raise ValueError(
+            f"Failed to validate webhook payloads response: {e}\nResponse: {response.json()}"
+        )
+
+
+async def list_webhooks(
+    credentials: Credentials,
+    base_id: str,
+) -> Any:
+
+    response = await Requests().get(
+        f"https://api.airtable.com/v0/bases/{base_id}/webhooks",
+        headers={"Authorization": credentials.auth_header()},
+    )
+    return response.json()
+
+
+class OAuthAuthorizeRequest(BaseModel):
+    """OAuth authorization request parameters for Airtable.
+
+    Parameters:
+        client_id: An opaque string that identifies your integration with Airtable
+        redirect_uri: The URI for the authorize response redirect. Must exactly match a redirect URI
+            associated with your integration. HTTPS is required for any URI beside localhost.
+        response_type: The string "code"
+        scope: A space delimited list of unique scopes. All scopes must be valid Airtable defined scopes
+            that have been selected for your integration. At least one scope is required.
+        state: A cryptographically generated, opaque string for CSRF protection
+        code_challenge: The base64 url-encoding of the sha256 of the code_verifier. Protects against
+            man-in-the-middle grant code injection attacks. Part of the PKCE extension of OAuth.
+        code_challenge_method: The string "S256"
+    """
+
+    client_id: str
+    redirect_uri: str
+    response_type: str = "code"
+    scope: str
+    state: str
+    code_challenge: str
+    code_challenge_method: str = "S256"
+
+
+class OAuthTokenRequest(BaseModel):
+    """OAuth token request parameters for Airtable.
+
+    These parameters must be formatted via application/x-www-form-urlencoded encoding.
+
+    Parameters:
+        code: The grant code generated during the authorization request. Can only be used once.
+        client_id: The client_id used in the authorization request that generated the code.
+            Optional if your integration has a client_secret. Used to prevent MITM attacks.
+        redirect_uri: The redirect_uri used in the authorization request that generated the code.
+            Used to prevent MITM attacks.
+        grant_type: The string "authorization_code".
+        code_verifier: A cryptographically generated, opaque string used to generate the
+            code_challenge parameter in the authorization request that generated the code.
+    """
+
+    code: str
+    client_id: str
+    redirect_uri: str
+    grant_type: str = "authorization_code"
+    code_verifier: str
+
+
+class OAuthRefreshTokenRequest(BaseModel):
+    """OAuth token refresh request parameters for Airtable.
+
+    These parameters must be formatted via application/x-www-form-urlencoded encoding.
+
+    Parameters:
+        refresh_token: The saved refresh token from the previous token grant.
+        client_id: Required if your integration does not have a client_secret.
+            Used to prevent MITM attacks.
+        grant_type: The string "refresh_token".
+        scope: If specified, a subset of the token's existing scopes. Optional.
+    """
+
+    refresh_token: str
+    client_id: str | None = None
+    grant_type: str = "refresh_token"
+    scope: str | None = None
+
+
+class OAuthTokenResponse(BaseModel):
+    """OAuth token response from Airtable.
+
+    Successful response has HTTP status code 200 (OK).
+
+    Parameters:
+        access_token: An opaque string. Can be used to make requests to the Airtable API on behalf
+            of the user, and cannot be recovered if lost.
+        refresh_token: An opaque string. Can be used to request a new access token after the current
+            one expires.
+        token_type: The string "Bearer " (space intentional)
+        scope: A string that is a space delimited list of scopes granted to this access token. Can be
+            recovered using the get userId and scopes endpoint.
+        expires_in: An integer. Time in seconds until the access token expires (expected value is 60 minutes).
+        refresh_expires_in: An integer. Time in seconds until the refresh token expires (expected value is 60 days).
+    """
+
+    access_token: str
+    refresh_token: str
+    token_type: str
+    scope: str
+    expires_in: int
+    refresh_expires_in: int
+
+
+def make_oauth_authorize_url(
+    client_id: str,
+    redirect_uri: str,
+    scopes: list[str],
+    state: str,
+    code_challenge: str,
+) -> str:
+    """
+    Generate the OAuth authorization URL for Airtable.
+
+    Args:
+        client_id: An opaque string that identifies your integration with Airtable
+        redirect_uri: The URI for the authorize response redirect
+        scope: A space delimited list of unique scopes
+        state: A cryptographically generated, opaque string for CSRF protection
+        code_challenge: The base64 url-encoding of the sha256 of the code_verifier
+        code_challenge_method: The string "S256" (default)
+        response_type: The string "code" (default)
+
+    Returns:
+        The authorization URL that the user should visit
+    """
+    # Validate the request parameters
+    request_params = OAuthAuthorizeRequest(
+        client_id=client_id,
+        redirect_uri=redirect_uri,
+        scope=" ".join(scopes),
+        state=state,
+        code_challenge=code_challenge,
+    )
+
+    # Build the authorization URL
+    base_url = "https://airtable.com/oauth2/v1/authorize"
+    query_string = urlencode(request_params.model_dump(exclude_none=True))
+
+    return f"{base_url}?{query_string}"
+
+
+async def oauth_exchange_code_for_tokens(
+    client_id: str,
+    code_verifier: bytes,
+    code: str,
+    redirect_uri: str,
+    client_secret: str | None = None,
+) -> OAuthTokenResponse:
+    """
+    Exchange an authorization code for access and refresh tokens.
+
+    Args:
+        client_id: The Airtable integration client ID.
+        code_verifier: The original code_verifier (required for PKCE).
+        code: The authorization code returned by Airtable.
+        redirect_uri: The redirect URI used during authorization.
+        client_secret: Integration client secret if available (optional).
+
+    Returns:
+        Parsed JSON response containing the access token, refresh token, scope, etc.
+    """
+
+    headers = {
+        "Content-Type": "application/x-www-form-urlencoded",
+    }
+    # Add Authorization header for confidential clients
+    if client_secret:
+        credentials_encoded = base64.urlsafe_b64encode(
+            f"{client_id}:{client_secret}".encode()
+        ).decode()
+        headers["Authorization"] = f"Basic {credentials_encoded}"
+
+    data = OAuthTokenRequest(
+        code=code,
+        client_id=client_id,
+        redirect_uri=redirect_uri,
+        grant_type="authorization_code",
+        code_verifier=code_verifier.decode("utf-8"),
+    ).model_dump(exclude_none=True)
+
+    response = await Requests().post(
+        "https://airtable.com/oauth2/v1/token",
+        headers=headers,
+        data=data,
+    )
+
+    if response.ok:
+        return OAuthTokenResponse.model_validate(response.json())
+    raise ValueError(
+        f"Failed to exchange code for tokens: {response.status} {response.text}"
+    )
+
+
+# NEW helper for refreshing tokens
+async def oauth_refresh_tokens(
+    client_id: str,
+    refresh_token: str,
+    client_secret: str | None = None,
+) -> OAuthTokenResponse:
+    """
+    Refresh an expired (or soon-to-expire) access token.
+
+    Args:
+        client_id: The Airtable integration client ID.
+        refresh_token: The refresh token previously issued by Airtable.
+        client_secret: Integration client secret if available (optional).
+
+    Returns:
+        Parsed JSON response containing the new tokens and metadata.
+        https://airtable.com/oauth2/v1/authorize?client_id=7642abbb-8fbc-494c-b6e0-58484364e28c&redirect_uri=https%3A%2F%2Fdev-builder.agpt.co%2Fauth%2Fintegrations%2Foauth_callback&response_type=code&scope=&state=OcmqX6Y5MTkhHLc6vkbR6uEtSiZHawzEUcxDscqkWRk&code_challenge=v2Ly1CcG8UkCXJ2n--TEKZc6HeKaN1wrZLgIr_qVnJ8&code_challenge_method=S256
+    """
+
+    headers = {
+        "Content-Type": "application/x-www-form-urlencoded",
+    }
+
+    if client_secret:
+        credentials_encoded = base64.urlsafe_b64encode(
+            f"{client_id}:{client_secret}".encode()
+        ).decode()
+        headers["Authorization"] = f"Basic {credentials_encoded}"
+
+    data = OAuthRefreshTokenRequest(
+        refresh_token=refresh_token,
+        client_id=client_id,
+        grant_type="refresh_token",
+    ).model_dump(exclude_none=True)
+
+    response = await Requests().post(
+        "https://airtable.com/oauth2/v1/token",
+        headers=headers,
+        data=data,
+    )
+
+    if response.ok:
+        return OAuthTokenResponse.model_validate(response.json())
+    raise ValueError(f"Failed to refresh tokens: {response.status} {response.text}")
+
+
+#################################################################
+# Base Management
+#################################################################
+
+
+async def create_base(
+    credentials: Credentials,
+    workspace_id: str,
+    name: str,
+    tables: list[dict] = [
+        {
+            "description": "Default table",
+            "name": "Default table",
+            "fields": [
+                {
+                    "name": "ID",
+                    "type": "number",
+                    "description": "Auto-incrementing ID field",
+                    "options": {"precision": 0},
+                }
+            ],
+        }
+    ],
+) -> dict:
+    """
+    Create a new base in Airtable.
+
+    Args:
+        credentials: Airtable API credentials
+        workspace_id: The workspace ID where the base will be created
+        name: The name of the new base
+        tables: Optional list of table objects to create in the base
+
+    Returns:
+        dict: Response containing the created base information
+    """
+    params: dict[str, Any] = {
+        "name": name,
+        "workspaceId": workspace_id,
+    }
+
+    if tables:
+        params["tables"] = tables
+
+    print(params)
+
+    response = await Requests().post(
+        "https://api.airtable.com/v0/meta/bases",
+        headers={
+            "Authorization": credentials.auth_header(),
+            "Content-Type": "application/json",
+        },
+        json=_convert_bools(params),
+    )
+
+    return response.json()
+
+
+async def list_bases(
+    credentials: Credentials,
+    offset: str | None = None,
+) -> dict:
+    """
+    List all bases that the authenticated user has access to.
+
+    Args:
+        credentials: Airtable API credentials
+        offset: Optional pagination offset
+
+    Returns:
+        dict: Response containing the list of bases
+    """
+    params = {}
+    if offset:
+        params["offset"] = offset
+
+    response = await Requests().get(
+        "https://api.airtable.com/v0/meta/bases",
+        headers={"Authorization": credentials.auth_header()},
+        params=params,
+    )
+
+    return response.json()
diff --git a/autogpt_platform/backend/backend/blocks/airtable/_api_test.py b/autogpt_platform/backend/backend/blocks/airtable/_api_test.py
new file mode 100644
index 000000000000..02f15a509fa1
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/_api_test.py
@@ -0,0 +1,323 @@
+from os import getenv
+from uuid import uuid4
+
+import pytest
+
+from backend.sdk import APIKeyCredentials, SecretStr
+
+from ._api import (
+    TableFieldType,
+    WebhookFilters,
+    WebhookSpecification,
+    create_base,
+    create_field,
+    create_record,
+    create_table,
+    create_webhook,
+    delete_multiple_records,
+    delete_record,
+    delete_webhook,
+    get_record,
+    list_bases,
+    list_records,
+    list_webhook_payloads,
+    update_field,
+    update_multiple_records,
+    update_record,
+    update_table,
+)
+
+
+@pytest.mark.asyncio
+async def test_create_update_table():
+
+    key = getenv("AIRTABLE_API_KEY")
+    if not key:
+        return pytest.skip("AIRTABLE_API_KEY is not set")
+
+    credentials = APIKeyCredentials(
+        provider="airtable",
+        api_key=SecretStr(key),
+    )
+    postfix = uuid4().hex[:4]
+    workspace_id = "wsphuHmfllg7V3Brd"
+    response = await create_base(credentials, workspace_id, "API Testing Base")
+    assert response is not None, f"Checking create base response: {response}"
+    assert (
+        response.get("id") is not None
+    ), f"Checking create base response id: {response}"
+    base_id = response.get("id")
+    assert base_id is not None, f"Checking create base response id: {base_id}"
+
+    response = await list_bases(credentials)
+    assert response is not None, f"Checking list bases response: {response}"
+    assert "API Testing Base" in [
+        base.get("name") for base in response.get("bases", [])
+    ], f"Checking list bases response bases: {response}"
+
+    table_name = f"test_table_{postfix}"
+    table_fields = [{"name": "test_field", "type": "singleLineText"}]
+    table = await create_table(credentials, base_id, table_name, table_fields)
+    assert table.get("name") == table_name
+
+    table_id = table.get("id")
+
+    assert table_id is not None
+
+    table_name = f"test_table_updated_{postfix}"
+    table_description = "test_description_updated"
+    table = await update_table(
+        credentials,
+        base_id,
+        table_id,
+        table_name=table_name,
+        table_description=table_description,
+    )
+    assert table.get("name") == table_name
+    assert table.get("description") == table_description
+
+
+@pytest.mark.asyncio
+async def test_invalid_field_type():
+
+    key = getenv("AIRTABLE_API_KEY")
+    if not key:
+        return pytest.skip("AIRTABLE_API_KEY is not set")
+
+    credentials = APIKeyCredentials(
+        provider="airtable",
+        api_key=SecretStr(key),
+    )
+    postfix = uuid4().hex[:4]
+    base_id = "appZPxegHEU3kDc1S"
+    table_name = f"test_table_{postfix}"
+    table_fields = [{"name": "test_field", "type": "notValid"}]
+    with pytest.raises(AssertionError):
+        await create_table(credentials, base_id, table_name, table_fields)
+
+
+@pytest.mark.asyncio
+async def test_create_and_update_field():
+    key = getenv("AIRTABLE_API_KEY")
+    if not key:
+        return pytest.skip("AIRTABLE_API_KEY is not set")
+
+    credentials = APIKeyCredentials(
+        provider="airtable",
+        api_key=SecretStr(key),
+    )
+    postfix = uuid4().hex[:4]
+    base_id = "appZPxegHEU3kDc1S"
+    table_name = f"test_table_{postfix}"
+    table_fields = [{"name": "test_field", "type": "singleLineText"}]
+    table = await create_table(credentials, base_id, table_name, table_fields)
+    assert table.get("name") == table_name
+
+    table_id = table.get("id")
+
+    assert table_id is not None
+
+    field_name = f"test_field_{postfix}"
+    field_type = TableFieldType.SINGLE_LINE_TEXT
+    field = await create_field(credentials, base_id, table_id, field_type, field_name)
+    assert field.get("name") == field_name
+
+    field_id = field.get("id")
+
+    assert field_id is not None
+    assert isinstance(field_id, str)
+
+    field_name = f"test_field_updated_{postfix}"
+    field = await update_field(credentials, base_id, table_id, field_id, field_name)
+    assert field.get("name") == field_name
+
+    field_description = "test_description_updated"
+    field = await update_field(
+        credentials, base_id, table_id, field_id, description=field_description
+    )
+    assert field.get("description") == field_description
+
+
+@pytest.mark.asyncio
+async def test_record_management():
+    key = getenv("AIRTABLE_API_KEY")
+    if not key:
+        return pytest.skip("AIRTABLE_API_KEY is not set")
+
+    credentials = APIKeyCredentials(
+        provider="airtable",
+        api_key=SecretStr(key),
+    )
+    postfix = uuid4().hex[:4]
+    base_id = "appZPxegHEU3kDc1S"
+    table_name = f"test_table_{postfix}"
+    table_fields = [{"name": "test_field", "type": "singleLineText"}]
+    table = await create_table(credentials, base_id, table_name, table_fields)
+    assert table.get("name") == table_name
+
+    table_id = table.get("id")
+    assert table_id is not None
+
+    # Create a record
+    record_fields = {"test_field": "test_value"}
+    record = await create_record(credentials, base_id, table_id, fields=record_fields)
+    fields = record.get("fields")
+    assert fields is not None
+    assert isinstance(fields, dict)
+    assert fields.get("test_field") == "test_value"
+
+    record_id = record.get("id")
+
+    assert record_id is not None
+    assert isinstance(record_id, str)
+
+    # Get a record
+    record = await get_record(credentials, base_id, table_id, record_id)
+    fields = record.get("fields")
+    assert fields is not None
+    assert isinstance(fields, dict)
+    assert fields.get("test_field") == "test_value"
+
+    # Updata a record
+    record_fields = {"test_field": "test_value_updated"}
+    record = await update_record(
+        credentials, base_id, table_id, record_id, fields=record_fields
+    )
+    fields = record.get("fields")
+    assert fields is not None
+    assert isinstance(fields, dict)
+    assert fields.get("test_field") == "test_value_updated"
+
+    # Delete a record
+    record = await delete_record(credentials, base_id, table_id, record_id)
+    assert record is not None
+    assert record.get("id") == record_id
+    assert record.get("deleted")
+
+    # Create 2 records
+    records = [
+        {"fields": {"test_field": "test_value_1"}},
+        {"fields": {"test_field": "test_value_2"}},
+    ]
+    response = await create_record(credentials, base_id, table_id, records=records)
+    created_records = response.get("records")
+    assert created_records is not None
+    assert isinstance(created_records, list)
+    assert len(created_records) == 2, f"Created records: {created_records}"
+    first_record = created_records[0]  # type: ignore
+    second_record = created_records[1]  # type: ignore
+    first_record_id = first_record.get("id")
+    second_record_id = second_record.get("id")
+    assert first_record_id is not None
+    assert second_record_id is not None
+    assert first_record_id != second_record_id
+    first_fields = first_record.get("fields")
+    second_fields = second_record.get("fields")
+    assert first_fields is not None
+    assert second_fields is not None
+    assert first_fields.get("test_field") == "test_value_1"  # type: ignore
+    assert second_fields.get("test_field") == "test_value_2"  # type: ignore
+
+    # List records
+    response = await list_records(credentials, base_id, table_id)
+    records = response.get("records")
+    assert records is not None
+    assert len(records) == 2, f"Records: {records}"
+    assert isinstance(records, list), f"Type of records: {type(records)}"
+
+    # Update multiple records
+    records = [
+        {"id": first_record_id, "fields": {"test_field": "test_value_1_updated"}},
+        {"id": second_record_id, "fields": {"test_field": "test_value_2_updated"}},
+    ]
+    response = await update_multiple_records(
+        credentials, base_id, table_id, records=records
+    )
+    updated_records = response.get("records")
+    assert updated_records is not None
+    assert len(updated_records) == 2, f"Updated records: {updated_records}"
+    assert isinstance(
+        updated_records, list
+    ), f"Type of updated records: {type(updated_records)}"
+    first_updated = updated_records[0]  # type: ignore
+    second_updated = updated_records[1]  # type: ignore
+    first_updated_fields = first_updated.get("fields")
+    second_updated_fields = second_updated.get("fields")
+    assert first_updated_fields is not None
+    assert second_updated_fields is not None
+    assert first_updated_fields.get("test_field") == "test_value_1_updated"  # type: ignore
+    assert second_updated_fields.get("test_field") == "test_value_2_updated"  # type: ignore
+
+    # Delete multiple records
+    assert isinstance(first_record_id, str)
+    assert isinstance(second_record_id, str)
+    response = await delete_multiple_records(
+        credentials, base_id, table_id, records=[first_record_id, second_record_id]
+    )
+    deleted_records = response.get("records")
+    assert deleted_records is not None
+    assert len(deleted_records) == 2, f"Deleted records: {deleted_records}"
+    assert isinstance(
+        deleted_records, list
+    ), f"Type of deleted records: {type(deleted_records)}"
+    first_deleted = deleted_records[0]  # type: ignore
+    second_deleted = deleted_records[1]  # type: ignore
+    assert first_deleted.get("deleted")
+    assert second_deleted.get("deleted")
+
+
+@pytest.mark.asyncio
+async def test_webhook_management():
+    key = getenv("AIRTABLE_API_KEY")
+    if not key:
+        return pytest.skip("AIRTABLE_API_KEY is not set")
+
+    credentials = APIKeyCredentials(
+        provider="airtable",
+        api_key=SecretStr(key),
+    )
+    postfix = uuid4().hex[:4]
+    base_id = "appZPxegHEU3kDc1S"
+    table_name = f"test_table_{postfix}"
+    table_fields = [{"name": "test_field", "type": "singleLineText"}]
+    table = await create_table(credentials, base_id, table_name, table_fields)
+    assert table.get("name") == table_name
+
+    table_id = table.get("id")
+    assert table_id is not None
+    webhook_specification = WebhookSpecification(
+        filters=WebhookFilters(
+            dataTypes=["tableData", "tableFields", "tableMetadata"],
+            changeTypes=["add", "update", "remove"],
+        )
+    )
+    response = await create_webhook(credentials, base_id, webhook_specification)
+    assert response is not None, f"Checking create webhook response: {response}"
+    assert (
+        response.get("id") is not None
+    ), f"Checking create webhook response id: {response}"
+    assert (
+        response.get("macSecretBase64") is not None
+    ), f"Checking create webhook response macSecretBase64: {response}"
+
+    webhook_id = response.get("id")
+    assert webhook_id is not None, f"Webhook ID: {webhook_id}"
+    assert isinstance(webhook_id, str)
+
+    response = await create_record(
+        credentials, base_id, table_id, fields={"test_field": "test_value"}
+    )
+    assert response is not None, f"Checking create record response: {response}"
+    assert (
+        response.get("id") is not None
+    ), f"Checking create record response id: {response}"
+    fields = response.get("fields")
+    assert fields is not None, f"Checking create record response fields: {response}"
+    assert (
+        fields.get("test_field") == "test_value"
+    ), f"Checking create record response fields test_field: {response}"
+
+    response = await list_webhook_payloads(credentials, base_id, webhook_id)
+    assert response is not None, f"Checking list webhook payloads response: {response}"
+
+    response = await delete_webhook(credentials, base_id, webhook_id)
diff --git a/autogpt_platform/backend/backend/blocks/airtable/_config.py b/autogpt_platform/backend/backend/blocks/airtable/_config.py
new file mode 100644
index 000000000000..ee168881d8f7
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/_config.py
@@ -0,0 +1,32 @@
+"""
+Shared configuration for all Airtable blocks using the SDK pattern.
+"""
+
+from backend.sdk import BlockCostType, ProviderBuilder
+
+from ._oauth import AirtableOAuthHandler, AirtableScope
+from ._webhook import AirtableWebhookManager
+
+# Configure the Airtable provider with API key authentication
+airtable = (
+    ProviderBuilder("airtable")
+    .with_api_key("AIRTABLE_API_KEY", "Airtable Personal Access Token")
+    .with_webhook_manager(AirtableWebhookManager)
+    .with_base_cost(1, BlockCostType.RUN)
+    .with_oauth(
+        AirtableOAuthHandler,
+        scopes=[
+            v.value
+            for v in [
+                AirtableScope.DATA_RECORDS_READ,
+                AirtableScope.DATA_RECORDS_WRITE,
+                AirtableScope.SCHEMA_BASES_READ,
+                AirtableScope.SCHEMA_BASES_WRITE,
+                AirtableScope.WEBHOOK_MANAGE,
+            ]
+        ],
+        client_id_env_var="AIRTABLE_CLIENT_ID",
+        client_secret_env_var="AIRTABLE_CLIENT_SECRET",
+    )
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/airtable/_oauth.py b/autogpt_platform/backend/backend/blocks/airtable/_oauth.py
new file mode 100644
index 000000000000..9cd69ec3defe
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/_oauth.py
@@ -0,0 +1,185 @@
+"""
+Airtable OAuth handler implementation.
+"""
+
+import time
+from enum import Enum
+from logging import getLogger
+from typing import Optional
+
+from backend.sdk import BaseOAuthHandler, OAuth2Credentials, ProviderName, SecretStr
+
+from ._api import (
+    OAuthTokenResponse,
+    make_oauth_authorize_url,
+    oauth_exchange_code_for_tokens,
+    oauth_refresh_tokens,
+)
+
+logger = getLogger(__name__)
+
+
+class AirtableScope(str, Enum):
+    # Basic scopes
+    DATA_RECORDS_READ = "data.records:read"
+    DATA_RECORDS_WRITE = "data.records:write"
+    DATA_RECORD_COMMENTS_READ = "data.recordComments:read"
+    DATA_RECORD_COMMENTS_WRITE = "data.recordComments:write"
+    SCHEMA_BASES_READ = "schema.bases:read"
+    SCHEMA_BASES_WRITE = "schema.bases:write"
+    WEBHOOK_MANAGE = "webhook:manage"
+    BLOCK_MANAGE = "block:manage"
+    USER_EMAIL_READ = "user.email:read"
+
+    # Enterprise member scopes
+    ENTERPRISE_GROUPS_READ = "enterprise.groups:read"
+    WORKSPACES_AND_BASES_READ = "workspacesAndBases:read"
+    WORKSPACES_AND_BASES_WRITE = "workspacesAndBases:write"
+    WORKSPACES_AND_BASES_SHARES_MANAGE = "workspacesAndBases.shares:manage"
+
+    # Enterprise admin scopes
+    ENTERPRISE_SCIM_USERS_AND_GROUPS_MANAGE = "enterprise.scim.usersAndGroups:manage"
+    ENTERPRISE_AUDIT_LOGS_READ = "enterprise.auditLogs:read"
+    ENTERPRISE_CHANGE_EVENTS_READ = "enterprise.changeEvents:read"
+    ENTERPRISE_EXPORTS_MANAGE = "enterprise.exports:manage"
+    ENTERPRISE_ACCOUNT_READ = "enterprise.account:read"
+    ENTERPRISE_ACCOUNT_WRITE = "enterprise.account:write"
+    ENTERPRISE_USER_READ = "enterprise.user:read"
+    ENTERPRISE_USER_WRITE = "enterprise.user:write"
+    ENTERPRISE_GROUPS_MANAGE = "enterprise.groups:manage"
+    WORKSPACES_AND_BASES_MANAGE = "workspacesAndBases:manage"
+    HYPERDB_RECORDS_READ = "hyperDB.records:read"
+    HYPERDB_RECORDS_WRITE = "hyperDB.records:write"
+
+
+class AirtableOAuthHandler(BaseOAuthHandler):
+    """
+    OAuth2 handler for Airtable with PKCE support.
+    """
+
+    PROVIDER_NAME = ProviderName("airtable")
+    DEFAULT_SCOPES = [
+        v.value
+        for v in [
+            AirtableScope.DATA_RECORDS_READ,
+            AirtableScope.DATA_RECORDS_WRITE,
+            AirtableScope.SCHEMA_BASES_READ,
+            AirtableScope.SCHEMA_BASES_WRITE,
+            AirtableScope.WEBHOOK_MANAGE,
+        ]
+    ]
+
+    def __init__(self, client_id: str, client_secret: Optional[str], redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+        self.scopes = self.DEFAULT_SCOPES
+        self.auth_base_url = "https://airtable.com/oauth2/v1/authorize"
+        self.token_url = "https://airtable.com/oauth2/v1/token"
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
+        logger.debug("Generating Airtable OAuth login URL")
+        # Generate code_challenge if not provided (PKCE is required)
+        if not scopes:
+            logger.debug("No scopes provided, using default scopes")
+            scopes = self.scopes
+
+        logger.debug(f"Using scopes: {scopes}")
+        logger.debug(f"State: {state}")
+        logger.debug(f"Code challenge: {code_challenge}")
+        if not code_challenge:
+            logger.error("Code challenge is required but none was provided")
+            raise ValueError("No code challenge provided")
+
+        try:
+            url = make_oauth_authorize_url(
+                self.client_id, self.redirect_uri, scopes, state, code_challenge
+            )
+            logger.debug(f"Generated OAuth URL: {url}")
+            return url
+        except Exception as e:
+            logger.error(f"Failed to generate OAuth URL: {str(e)}")
+            raise
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
+    ) -> OAuth2Credentials:
+        logger.debug("Exchanging authorization code for tokens")
+        logger.debug(f"Code: {code[:4]}...")  # Log first 4 chars only for security
+        logger.debug(f"Scopes: {scopes}")
+        if not code_verifier:
+            logger.error("Code verifier is required but none was provided")
+            raise ValueError("No code verifier provided")
+
+        try:
+            response: OAuthTokenResponse = await oauth_exchange_code_for_tokens(
+                client_id=self.client_id,
+                code=code,
+                code_verifier=code_verifier.encode("utf-8"),
+                redirect_uri=self.redirect_uri,
+                client_secret=self.client_secret,
+            )
+            logger.info("Successfully exchanged code for tokens")
+
+            credentials = OAuth2Credentials(
+                access_token=SecretStr(response.access_token),
+                refresh_token=SecretStr(response.refresh_token),
+                access_token_expires_at=int(time.time()) + response.expires_in,
+                refresh_token_expires_at=int(time.time()) + response.refresh_expires_in,
+                provider=self.PROVIDER_NAME,
+                scopes=scopes,
+            )
+            logger.debug(f"Access token expires in {response.expires_in} seconds")
+            logger.debug(
+                f"Refresh token expires in {response.refresh_expires_in} seconds"
+            )
+            return credentials
+
+        except Exception as e:
+            logger.error(f"Failed to exchange code for tokens: {str(e)}")
+            raise
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        logger.debug("Attempting to refresh OAuth tokens")
+
+        if credentials.refresh_token is None:
+            logger.error("Cannot refresh tokens - no refresh token available")
+            raise ValueError("No refresh token available")
+
+        try:
+            response: OAuthTokenResponse = await oauth_refresh_tokens(
+                client_id=self.client_id,
+                refresh_token=credentials.refresh_token.get_secret_value(),
+                client_secret=self.client_secret,
+            )
+            logger.info("Successfully refreshed tokens")
+
+            new_credentials = OAuth2Credentials(
+                id=credentials.id,
+                access_token=SecretStr(response.access_token),
+                refresh_token=SecretStr(response.refresh_token),
+                access_token_expires_at=int(time.time()) + response.expires_in,
+                refresh_token_expires_at=int(time.time()) + response.refresh_expires_in,
+                provider=self.PROVIDER_NAME,
+                scopes=self.scopes,
+            )
+            logger.debug(f"New access token expires in {response.expires_in} seconds")
+            logger.debug(
+                f"New refresh token expires in {response.refresh_expires_in} seconds"
+            )
+            return new_credentials
+
+        except Exception as e:
+            logger.error(f"Failed to refresh tokens: {str(e)}")
+            raise
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        logger.debug("Token revocation requested")
+        logger.info(
+            "Airtable doesn't provide a token revocation endpoint - tokens will expire naturally after 60 minutes"
+        )
+        return False
diff --git a/autogpt_platform/backend/backend/blocks/airtable/_webhook.py b/autogpt_platform/backend/backend/blocks/airtable/_webhook.py
new file mode 100644
index 000000000000..58e6f95d0c2a
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/_webhook.py
@@ -0,0 +1,154 @@
+"""
+Webhook management for Airtable blocks.
+"""
+
+import hashlib
+import hmac
+import logging
+from enum import Enum
+
+from backend.sdk import (
+    BaseWebhooksManager,
+    Credentials,
+    ProviderName,
+    Webhook,
+    update_webhook,
+)
+
+from ._api import (
+    WebhookFilters,
+    WebhookSpecification,
+    create_webhook,
+    delete_webhook,
+    list_webhook_payloads,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class AirtableWebhookEvent(str, Enum):
+    TABLE_DATA = "tableData"
+    TABLE_FIELDS = "tableFields"
+    TABLE_METADATA = "tableMetadata"
+
+
+class AirtableWebhookManager(BaseWebhooksManager):
+    """Webhook manager for Airtable API."""
+
+    PROVIDER_NAME = ProviderName("airtable")
+
+    @classmethod
+    async def validate_payload(
+        cls, webhook: Webhook, request, credentials: Credentials | None
+    ) -> tuple[dict, str]:
+        """Validate incoming webhook payload and signature."""
+
+        if not credentials:
+            raise ValueError("Missing credentials in webhook metadata")
+
+        payload = await request.json()
+
+        # Verify webhook signature using HMAC-SHA256
+        if webhook.secret:
+            mac_secret = webhook.config.get("mac_secret")
+            if mac_secret:
+                # Get the raw body for signature verification
+                body = await request.body()
+
+                # Calculate expected signature
+                mac_secret_decoded = mac_secret.encode()
+                hmac_obj = hmac.new(mac_secret_decoded, body, hashlib.sha256)
+                expected_mac = f"hmac-sha256={hmac_obj.hexdigest()}"
+
+                # Get signature from headers
+                signature = request.headers.get("X-Airtable-Content-MAC")
+
+                if signature and not hmac.compare_digest(signature, expected_mac):
+                    raise ValueError("Invalid webhook signature")
+
+        # Validate payload structure
+        required_fields = ["base", "webhook", "timestamp"]
+        if not all(field in payload for field in required_fields):
+            raise ValueError("Invalid webhook payload structure")
+
+        if "id" not in payload["base"] or "id" not in payload["webhook"]:
+            raise ValueError("Missing required IDs in webhook payload")
+        base_id = payload["base"]["id"]
+        webhook_id = payload["webhook"]["id"]
+
+        # get payload request parameters
+        cursor = webhook.config.get("cursor", 1)
+
+        response = await list_webhook_payloads(credentials, base_id, webhook_id, cursor)
+
+        # update webhook config
+        await update_webhook(
+            webhook.id,
+            config={"base_id": base_id, "cursor": response.cursor},
+        )
+
+        event_type = "notification"
+        return response.model_dump(), event_type
+
+    async def _register_webhook(
+        self,
+        credentials: Credentials,
+        webhook_type: str,
+        resource: str,
+        events: list[str],
+        ingress_url: str,
+        secret: str,
+    ) -> tuple[str, dict]:
+        """Register webhook with Airtable API."""
+
+        # Parse resource to get base_id and table_id/name
+        # Resource format: "{base_id}/{table_id_or_name}"
+        parts = resource.split("/", 1)
+        if len(parts) != 2:
+            raise ValueError("Resource must be in format: {base_id}/{table_id_or_name}")
+
+        base_id, table_id_or_name = parts
+
+        # Prepare webhook specification
+        webhook_specification = WebhookSpecification(
+            filters=WebhookFilters(
+                dataTypes=events,
+            )
+        )
+
+        # Create webhook
+        webhook_data = await create_webhook(
+            credentials=credentials,
+            base_id=base_id,
+            webhook_specification=webhook_specification,
+            notification_url=ingress_url,
+        )
+
+        webhook_id = webhook_data["id"]
+        mac_secret = webhook_data.get("macSecretBase64")
+
+        return webhook_id, {
+            "webhook_id": webhook_id,
+            "base_id": base_id,
+            "table_id_or_name": table_id_or_name,
+            "events": events,
+            "mac_secret": mac_secret,
+            "cursor": 1,
+            "expiration_time": webhook_data.get("expirationTime"),
+        }
+
+    async def _deregister_webhook(
+        self, webhook: Webhook, credentials: Credentials
+    ) -> None:
+        """Deregister webhook from Airtable API."""
+
+        base_id = webhook.config.get("base_id")
+        webhook_id = webhook.config.get("webhook_id")
+
+        if not base_id:
+            raise ValueError("Missing base_id in webhook metadata")
+
+        if not webhook_id:
+            raise ValueError("Missing webhook_id in webhook metadata")
+
+        await delete_webhook(credentials, base_id, webhook_id)
diff --git a/autogpt_platform/backend/backend/blocks/airtable/bases.py b/autogpt_platform/backend/backend/blocks/airtable/bases.py
new file mode 100644
index 000000000000..12910f9e6706
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/bases.py
@@ -0,0 +1,122 @@
+"""
+Airtable base operation blocks.
+"""
+
+from typing import Optional
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._api import create_base, list_bases
+from ._config import airtable
+
+
+class AirtableCreateBaseBlock(Block):
+    """
+    Creates a new base in an Airtable workspace.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        workspace_id: str = SchemaField(
+            description="The workspace ID where the base will be created"
+        )
+        name: str = SchemaField(description="The name of the new base")
+        tables: list[dict] = SchemaField(
+            description="At least one table and field must be specified. Array of table objects to create in the base. Each table should have 'name' and 'fields' properties",
+            default=[
+                {
+                    "description": "Default table",
+                    "name": "Default table",
+                    "fields": [
+                        {
+                            "name": "ID",
+                            "type": "number",
+                            "description": "Auto-incrementing ID field",
+                            "options": {"precision": 0},
+                        }
+                    ],
+                }
+            ],
+        )
+
+    class Output(BlockSchema):
+        base_id: str = SchemaField(description="The ID of the created base")
+        tables: list[dict] = SchemaField(description="Array of table objects")
+        table: dict = SchemaField(description="A single table object")
+
+    def __init__(self):
+        super().__init__(
+            id="f59b88a8-54ce-4676-a508-fd614b4e8dce",
+            description="Create a new base in Airtable",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        data = await create_base(
+            credentials,
+            input_data.workspace_id,
+            input_data.name,
+            input_data.tables,
+        )
+
+        yield "base_id", data.get("id", None)
+        yield "tables", data.get("tables", [])
+        for table in data.get("tables", []):
+            yield "table", table
+
+
+class AirtableListBasesBlock(Block):
+    """
+    Lists all bases in an Airtable workspace that the user has access to.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        trigger: str = SchemaField(
+            description="Trigger the block to run - value is ignored", default="manual"
+        )
+        offset: str = SchemaField(
+            description="Pagination offset from previous request", default=""
+        )
+
+    class Output(BlockSchema):
+        bases: list[dict] = SchemaField(description="Array of base objects")
+        offset: Optional[str] = SchemaField(
+            description="Offset for next page (null if no more bases)", default=None
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="4bd8d466-ed5d-4e44-8083-97f25a8044e7",
+            description="List all bases in Airtable",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        data = await list_bases(
+            credentials,
+            offset=input_data.offset if input_data.offset else None,
+        )
+
+        yield "bases", data.get("bases", [])
+        yield "offset", data.get("offset", None)
diff --git a/autogpt_platform/backend/backend/blocks/airtable/records.py b/autogpt_platform/backend/backend/blocks/airtable/records.py
new file mode 100644
index 000000000000..82e5986e847f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/records.py
@@ -0,0 +1,283 @@
+"""
+Airtable record operation blocks.
+"""
+
+from typing import Optional
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._api import (
+    create_record,
+    delete_multiple_records,
+    get_record,
+    list_records,
+    update_multiple_records,
+)
+from ._config import airtable
+
+
+class AirtableListRecordsBlock(Block):
+    """
+    Lists records from an Airtable table with optional filtering, sorting, and pagination.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id_or_name: str = SchemaField(description="Table ID or name")
+        filter_formula: str = SchemaField(
+            description="Airtable formula to filter records", default=""
+        )
+        view: str = SchemaField(description="View ID or name to use", default="")
+        sort: list[dict] = SchemaField(
+            description="Sort configuration (array of {field, direction})", default=[]
+        )
+        max_records: int = SchemaField(
+            description="Maximum number of records to return", default=100
+        )
+        page_size: int = SchemaField(
+            description="Number of records per page (max 100)", default=100
+        )
+        offset: str = SchemaField(
+            description="Pagination offset from previous request", default=""
+        )
+        return_fields: list[str] = SchemaField(
+            description="Specific fields to return (comma-separated)", default=[]
+        )
+
+    class Output(BlockSchema):
+        records: list[dict] = SchemaField(description="Array of record objects")
+        offset: Optional[str] = SchemaField(
+            description="Offset for next page (null if no more records)", default=None
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="588a9fde-5733-4da7-b03c-35f5671e960f",
+            description="List records from an Airtable table",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        data = await list_records(
+            credentials,
+            input_data.base_id,
+            input_data.table_id_or_name,
+            filter_by_formula=(
+                input_data.filter_formula if input_data.filter_formula else None
+            ),
+            view=input_data.view if input_data.view else None,
+            sort=input_data.sort if input_data.sort else None,
+            max_records=input_data.max_records if input_data.max_records else None,
+            page_size=min(input_data.page_size, 100) if input_data.page_size else None,
+            offset=input_data.offset if input_data.offset else None,
+            fields=input_data.return_fields if input_data.return_fields else None,
+        )
+
+        yield "records", data.get("records", [])
+        yield "offset", data.get("offset", None)
+
+
+class AirtableGetRecordBlock(Block):
+    """
+    Retrieves a single record from an Airtable table by its ID.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id_or_name: str = SchemaField(description="Table ID or name")
+        record_id: str = SchemaField(description="The record ID to retrieve")
+
+    class Output(BlockSchema):
+        id: str = SchemaField(description="The record ID")
+        fields: dict = SchemaField(description="The record fields")
+        created_time: str = SchemaField(description="The record created time")
+
+    def __init__(self):
+        super().__init__(
+            id="c29c5cbf-0aff-40f9-bbb5-f26061792d2b",
+            description="Get a single record from Airtable",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        record = await get_record(
+            credentials,
+            input_data.base_id,
+            input_data.table_id_or_name,
+            input_data.record_id,
+        )
+
+        yield "id", record.get("id", None)
+        yield "fields", record.get("fields", None)
+        yield "created_time", record.get("createdTime", None)
+
+
+class AirtableCreateRecordsBlock(Block):
+    """
+    Creates one or more records in an Airtable table.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id_or_name: str = SchemaField(description="Table ID or name")
+        records: list[dict] = SchemaField(
+            description="Array of records to create (each with 'fields' object)"
+        )
+        typecast: bool = SchemaField(
+            description="Automatically convert string values to appropriate types",
+            default=False,
+        )
+        return_fields_by_field_id: bool | None = SchemaField(
+            description="Return fields by field ID",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        records: list[dict] = SchemaField(description="Array of created record objects")
+        details: dict = SchemaField(description="Details of the created records")
+
+    def __init__(self):
+        super().__init__(
+            id="42527e98-47b6-44ce-ac0e-86b4883721d3",
+            description="Create records in an Airtable table",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        # The create_record API expects records in a specific format
+        data = await create_record(
+            credentials,
+            input_data.base_id,
+            input_data.table_id_or_name,
+            records=[{"fields": record} for record in input_data.records],
+            typecast=input_data.typecast if input_data.typecast else None,
+            return_fields_by_field_id=input_data.return_fields_by_field_id,
+        )
+
+        yield "records", data.get("records", [])
+        details = data.get("details", None)
+        if details:
+            yield "details", details
+
+
+class AirtableUpdateRecordsBlock(Block):
+    """
+    Updates one or more existing records in an Airtable table.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id_or_name: str = SchemaField(
+            description="Table ID or name - It's better to use the table ID instead of the name"
+        )
+        records: list[dict] = SchemaField(
+            description="Array of records to update (each with 'id' and 'fields')"
+        )
+        typecast: bool | None = SchemaField(
+            description="Automatically convert string values to appropriate types",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        records: list[dict] = SchemaField(description="Array of updated record objects")
+
+    def __init__(self):
+        super().__init__(
+            id="6e7d2590-ac2b-4b5d-b08c-fc039cd77e1f",
+            description="Update records in an Airtable table",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        # The update_multiple_records API expects records with id and fields
+        data = await update_multiple_records(
+            credentials,
+            input_data.base_id,
+            input_data.table_id_or_name,
+            records=input_data.records,
+            typecast=input_data.typecast if input_data.typecast else None,
+            return_fields_by_field_id=False,  # Use field names, not IDs
+        )
+
+        yield "records", data.get("records", [])
+
+
+class AirtableDeleteRecordsBlock(Block):
+    """
+    Deletes one or more records from an Airtable table.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id_or_name: str = SchemaField(
+            description="Table ID or name - It's better to use the table ID instead of the name"
+        )
+        record_ids: list[str] = SchemaField(
+            description="Array of upto 10 record IDs to delete"
+        )
+
+    class Output(BlockSchema):
+        records: list[dict] = SchemaField(description="Array of deletion results")
+
+    def __init__(self):
+        super().__init__(
+            id="93e22b8b-3642-4477-aefb-1c0929a4a3a6",
+            description="Delete records from an Airtable table",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        if len(input_data.record_ids) > 10:
+            yield "error", "Only upto 10 record IDs can be deleted at a time"
+        else:
+            data = await delete_multiple_records(
+                credentials,
+                input_data.base_id,
+                input_data.table_id_or_name,
+                input_data.record_ids,
+            )
+
+            yield "records", data.get("records", [])
diff --git a/autogpt_platform/backend/backend/blocks/airtable/schema.py b/autogpt_platform/backend/backend/blocks/airtable/schema.py
new file mode 100644
index 000000000000..5d2006a2ffb0
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/schema.py
@@ -0,0 +1,252 @@
+"""
+Airtable schema and table management blocks.
+"""
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    Requests,
+    SchemaField,
+)
+
+from ._api import TableFieldType, create_field, create_table, update_field, update_table
+from ._config import airtable
+
+
+class AirtableListSchemaBlock(Block):
+    """
+    Retrieves the complete schema of an Airtable base, including all tables,
+    fields, and views.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+
+    class Output(BlockSchema):
+        base_schema: dict = SchemaField(
+            description="Complete base schema with tables, fields, and views"
+        )
+        tables: list[dict] = SchemaField(description="Array of table objects")
+
+    def __init__(self):
+        super().__init__(
+            id="64291d3c-99b5-47b7-a976-6d94293cdb2d",
+            description="Get the complete schema of an Airtable base",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        api_key = credentials.api_key.get_secret_value()
+
+        # Get base schema
+        response = await Requests().get(
+            f"https://api.airtable.com/v0/meta/bases/{input_data.base_id}/tables",
+            headers={"Authorization": f"Bearer {api_key}"},
+        )
+
+        data = response.json()
+
+        yield "base_schema", data
+        yield "tables", data.get("tables", [])
+
+
+class AirtableCreateTableBlock(Block):
+    """
+    Creates a new table in an Airtable base with specified fields and views.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_name: str = SchemaField(description="The name of the table to create")
+        table_fields: list[dict] = SchemaField(
+            description="Table fields with name, type, and options",
+            default=[{"name": "Name", "type": "singleLineText"}],
+        )
+
+    class Output(BlockSchema):
+        table: dict = SchemaField(description="Created table object")
+        table_id: str = SchemaField(description="ID of the created table")
+
+    def __init__(self):
+        super().__init__(
+            id="fcc20ced-d817-42ea-9b40-c35e7bf34b4f",
+            description="Create a new table in an Airtable base",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        table_data = await create_table(
+            credentials,
+            input_data.base_id,
+            input_data.table_name,
+            input_data.table_fields,
+        )
+
+        yield "table", table_data
+        yield "table_id", table_data.get("id", "")
+
+
+class AirtableUpdateTableBlock(Block):
+    """
+    Updates an existing table's properties such as name or description.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id: str = SchemaField(description="The table ID to update")
+        table_name: str | None = SchemaField(
+            description="The name of the table to update", default=None
+        )
+        table_description: str | None = SchemaField(
+            description="The description of the table to update", default=None
+        )
+        date_dependency: dict | None = SchemaField(
+            description="The date dependency of the table to update", default=None
+        )
+
+    class Output(BlockSchema):
+        table: dict = SchemaField(description="Updated table object")
+
+    def __init__(self):
+        super().__init__(
+            id="34077c5f-f962-49f2-9ec6-97c67077013a",
+            description="Update table properties",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        table_data = await update_table(
+            credentials,
+            input_data.base_id,
+            input_data.table_id,
+            input_data.table_name,
+            input_data.table_description,
+            input_data.date_dependency,
+        )
+
+        yield "table", table_data
+
+
+class AirtableCreateFieldBlock(Block):
+    """
+    Adds a new field (column) to an existing Airtable table.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id: str = SchemaField(description="The table ID to add field to")
+        field_type: TableFieldType = SchemaField(
+            description="The type of the field to create",
+            default=TableFieldType.SINGLE_LINE_TEXT,
+            advanced=False,
+        )
+        name: str = SchemaField(description="The name of the field to create")
+        description: str | None = SchemaField(
+            description="The description of the field to create", default=None
+        )
+        options: dict[str, str] | None = SchemaField(
+            description="The options of the field to create", default=None
+        )
+
+    class Output(BlockSchema):
+        field: dict = SchemaField(description="Created field object")
+        field_id: str = SchemaField(description="ID of the created field")
+
+    def __init__(self):
+        super().__init__(
+            id="6c98a32f-dbf9-45d8-a2a8-5e97e8326351",
+            description="Add a new field to an Airtable table",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        field_data = await create_field(
+            credentials,
+            input_data.base_id,
+            input_data.table_id,
+            input_data.field_type,
+            input_data.name,
+        )
+
+        yield "field", field_data
+        yield "field_id", field_data.get("id", "")
+
+
+class AirtableUpdateFieldBlock(Block):
+    """
+    Updates an existing field's properties in an Airtable table.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="The Airtable base ID")
+        table_id: str = SchemaField(description="The table ID containing the field")
+        field_id: str = SchemaField(description="The field ID to update")
+        name: str | None = SchemaField(
+            description="The name of the field to update", default=None, advanced=False
+        )
+        description: str | None = SchemaField(
+            description="The description of the field to update",
+            default=None,
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        field: dict = SchemaField(description="Updated field object")
+
+    def __init__(self):
+        super().__init__(
+            id="f46ac716-3b18-4da1-92e4-34ca9a464d48",
+            description="Update field properties in an Airtable table",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        field_data = await update_field(
+            credentials,
+            input_data.base_id,
+            input_data.table_id,
+            input_data.field_id,
+            input_data.name,
+            input_data.description,
+        )
+
+        yield "field", field_data
diff --git a/autogpt_platform/backend/backend/blocks/airtable/triggers.py b/autogpt_platform/backend/backend/blocks/airtable/triggers.py
new file mode 100644
index 000000000000..2cfc8178e304
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/airtable/triggers.py
@@ -0,0 +1,113 @@
+from backend.sdk import (
+    BaseModel,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    BlockWebhookConfig,
+    CredentialsMetaInput,
+    ProviderName,
+    SchemaField,
+)
+
+from ._api import WebhookPayload
+from ._config import airtable
+
+
+class AirtableEventSelector(BaseModel):
+    """
+    Selects the Airtable webhook event to trigger on.
+    """
+
+    tableData: bool = True
+    tableFields: bool = True
+    tableMetadata: bool = True
+
+
+class AirtableWebhookTriggerBlock(Block):
+    """
+    Starts a flow whenever Airtable emits a webhook event.
+
+    Thin wrapper just forwards the payloads one at a time to the next block.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = airtable.credentials_field(
+            description="Airtable API credentials"
+        )
+        base_id: str = SchemaField(description="Airtable base ID")
+        table_id_or_name: str = SchemaField(description="Airtable table ID or name")
+        payload: dict = SchemaField(hidden=True, default_factory=dict)
+        events: AirtableEventSelector = SchemaField(
+            description="Airtable webhook event filter"
+        )
+
+    class Output(BlockSchema):
+        payload: WebhookPayload = SchemaField(description="Airtable webhook payload")
+
+    def __init__(self):
+        example_payload = {
+            "payloads": [
+                {
+                    "timestamp": "2022-02-01T21:25:05.663Z",
+                    "baseTransactionNumber": 4,
+                    "actionMetadata": {
+                        "source": "client",
+                        "sourceMetadata": {
+                            "user": {
+                                "id": "usr00000000000000",
+                                "email": "foo@bar.com",
+                                "permissionLevel": "create",
+                            }
+                        },
+                    },
+                    "payloadFormat": "v0",
+                }
+            ],
+            "cursor": 5,
+            "mightHaveMore": False,
+        }
+
+        super().__init__(
+            # NOTE: This is disabled whilst the webhook system is finalised.
+            disabled=False,
+            id="d0180ce6-ccb9-48c7-8256-b39e93e62801",
+            description="Starts a flow whenever Airtable emits a webhook event",
+            categories={BlockCategory.INPUT, BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+            block_type=BlockType.WEBHOOK,
+            webhook_config=BlockWebhookConfig(
+                provider=ProviderName("airtable"),
+                webhook_type="not-used",
+                event_filter_input="events",
+                event_format="{event}",
+                resource_format="{base_id}/{table_id_or_name}",
+            ),
+            test_input={
+                "credentials": airtable.get_test_credentials().model_dump(),
+                "base_id": "app1234567890",
+                "table_id_or_name": "table1234567890",
+                "events": AirtableEventSelector(
+                    tableData=True,
+                    tableFields=True,
+                    tableMetadata=False,
+                ).model_dump(),
+                "payload": example_payload,
+            },
+            test_credentials=airtable.get_test_credentials(),
+            test_output=[
+                (
+                    "payload",
+                    WebhookPayload.model_validate(example_payload["payloads"][0]),
+                ),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        if len(input_data.payload["payloads"]) > 0:
+            for item in input_data.payload["payloads"]:
+                yield "payload", WebhookPayload.model_validate(item)
+        else:
+            yield "error", "No valid payloads found in webhook payload"
diff --git a/autogpt_platform/backend/backend/blocks/apollo/_api.py b/autogpt_platform/backend/backend/blocks/apollo/_api.py
new file mode 100644
index 000000000000..6a72ad313d14
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/apollo/_api.py
@@ -0,0 +1,131 @@
+import logging
+from typing import List
+
+from backend.blocks.apollo._auth import ApolloCredentials
+from backend.blocks.apollo.models import (
+    Contact,
+    EnrichPersonRequest,
+    Organization,
+    SearchOrganizationsRequest,
+    SearchOrganizationsResponse,
+    SearchPeopleRequest,
+    SearchPeopleResponse,
+)
+from backend.util.request import Requests
+
+logger = logging.getLogger(name=__name__)
+
+
+class ApolloClient:
+    """Client for the Apollo API"""
+
+    API_URL = "https://api.apollo.io/api/v1"
+
+    def __init__(self, credentials: ApolloCredentials):
+        self.credentials = credentials
+        self.requests = Requests()
+
+    def _get_headers(self) -> dict[str, str]:
+        return {"x-api-key": self.credentials.api_key.get_secret_value()}
+
+    async def search_people(self, query: SearchPeopleRequest) -> List[Contact]:
+        """Search for people in Apollo"""
+        response = await self.requests.post(
+            f"{self.API_URL}/mixed_people/search",
+            headers=self._get_headers(),
+            json=query.model_dump(exclude={"max_results"}),
+        )
+        data = response.json()
+        parsed_response = SearchPeopleResponse(**data)
+        if parsed_response.pagination.total_entries == 0:
+            return []
+
+        people = parsed_response.people
+
+        # handle pagination
+        if (
+            query.max_results is not None
+            and query.max_results < parsed_response.pagination.total_entries
+            and len(people) < query.max_results
+        ):
+            while (
+                len(people) < query.max_results
+                and query.page < parsed_response.pagination.total_pages
+                and len(parsed_response.people) > 0
+            ):
+                query.page += 1
+                response = await self.requests.post(
+                    f"{self.API_URL}/mixed_people/search",
+                    headers=self._get_headers(),
+                    json=query.model_dump(exclude={"max_results"}),
+                )
+                data = response.json()
+                parsed_response = SearchPeopleResponse(**data)
+                people.extend(parsed_response.people[: query.max_results - len(people)])
+
+        logger.info(f"Found {len(people)} people")
+        return people[: query.max_results] if query.max_results else people
+
+    async def search_organizations(
+        self, query: SearchOrganizationsRequest
+    ) -> List[Organization]:
+        """Search for organizations in Apollo"""
+        response = await self.requests.post(
+            f"{self.API_URL}/mixed_companies/search",
+            headers=self._get_headers(),
+            json=query.model_dump(exclude={"max_results"}),
+        )
+        data = response.json()
+        parsed_response = SearchOrganizationsResponse(**data)
+        if parsed_response.pagination.total_entries == 0:
+            return []
+
+        organizations = parsed_response.organizations
+
+        # handle pagination
+        if (
+            query.max_results is not None
+            and query.max_results < parsed_response.pagination.total_entries
+            and len(organizations) < query.max_results
+        ):
+            while (
+                len(organizations) < query.max_results
+                and query.page < parsed_response.pagination.total_pages
+                and len(parsed_response.organizations) > 0
+            ):
+                query.page += 1
+                response = await self.requests.post(
+                    f"{self.API_URL}/mixed_companies/search",
+                    headers=self._get_headers(),
+                    json=query.model_dump(exclude={"max_results"}),
+                )
+                data = response.json()
+                parsed_response = SearchOrganizationsResponse(**data)
+                organizations.extend(
+                    parsed_response.organizations[
+                        : query.max_results - len(organizations)
+                    ]
+                )
+
+        logger.info(f"Found {len(organizations)} organizations")
+        return (
+            organizations[: query.max_results] if query.max_results else organizations
+        )
+
+    async def enrich_person(self, query: EnrichPersonRequest) -> Contact:
+        """Enrich a person's data including email & phone reveal"""
+        response = await self.requests.post(
+            f"{self.API_URL}/people/match",
+            headers=self._get_headers(),
+            json=query.model_dump(),
+            params={
+                "reveal_personal_emails": "true",
+            },
+        )
+        data = response.json()
+        if "person" not in data:
+            raise ValueError(f"Person not found or enrichment failed: {data}")
+
+        contact = Contact(**data["person"])
+        contact.email = contact.email or "-"
+        return contact
diff --git a/autogpt_platform/backend/backend/blocks/apollo/_auth.py b/autogpt_platform/backend/backend/blocks/apollo/_auth.py
new file mode 100644
index 000000000000..c813c72d9968
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/apollo/_auth.py
@@ -0,0 +1,35 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import APIKeyCredentials, CredentialsField, CredentialsMetaInput
+from backend.integrations.providers import ProviderName
+
+ApolloCredentials = APIKeyCredentials
+ApolloCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.APOLLO],
+    Literal["api_key"],
+]
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="apollo",
+    api_key=SecretStr("mock-apollo-api-key"),
+    title="Mock Apollo API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
+
+
+def ApolloCredentialsField() -> ApolloCredentialsInput:
+    """
+    Creates a Apollo credentials input on a block.
+    """
+    return CredentialsField(
+        description="The Apollo integration can be used with an API Key.",
+    )
diff --git a/autogpt_platform/backend/backend/blocks/apollo/models.py b/autogpt_platform/backend/backend/blocks/apollo/models.py
new file mode 100644
index 000000000000..4dde8f29b11d
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/apollo/models.py
@@ -0,0 +1,607 @@
+from enum import Enum
+from typing import Any, Optional
+
+from pydantic import BaseModel as OriginalBaseModel
+from pydantic import ConfigDict
+
+from backend.data.model import SchemaField
+
+
+class BaseModel(OriginalBaseModel):
+    def model_dump(self, *args, exclude: set[str] | None = None, **kwargs):
+        if exclude is None:
+            exclude = set("credentials")
+        else:
+            exclude.add("credentials")
+
+        kwargs.setdefault("exclude_none", True)
+        kwargs.setdefault("exclude_unset", True)
+        kwargs.setdefault("exclude_defaults", True)
+        return super().model_dump(*args, exclude=exclude, **kwargs)
+
+
+class PrimaryPhone(BaseModel):
+    """A primary phone in Apollo"""
+
+    number: Optional[str] = ""
+    source: Optional[str] = ""
+    sanitized_number: Optional[str] = ""
+
+
+class SenorityLevels(str, Enum):
+    """Seniority levels in Apollo"""
+
+    OWNER = "owner"
+    FOUNDER = "founder"
+    C_SUITE = "c_suite"
+    PARTNER = "partner"
+    VP = "vp"
+    HEAD = "head"
+    DIRECTOR = "director"
+    MANAGER = "manager"
+    SENIOR = "senior"
+    ENTRY = "entry"
+    INTERN = "intern"
+
+
+class ContactEmailStatuses(str, Enum):
+    """Contact email statuses in Apollo"""
+
+    VERIFIED = "verified"
+    UNVERIFIED = "unverified"
+    LIKELY_TO_ENGAGE = "likely_to_engage"
+    UNAVAILABLE = "unavailable"
+
+
+class RuleConfigStatus(BaseModel):
+    """A rule config status in Apollo"""
+
+    _id: Optional[str] = ""
+    created_at: Optional[str] = ""
+    rule_action_config_id: Optional[str] = ""
+    rule_config_id: Optional[str] = ""
+    status_cd: Optional[str] = ""
+    updated_at: Optional[str] = ""
+    id: Optional[str] = ""
+    key: Optional[str] = ""
+
+
+class ContactCampaignStatus(BaseModel):
+    """A contact campaign status in Apollo"""
+
+    id: Optional[str] = ""
+    emailer_campaign_id: Optional[str] = ""
+    send_email_from_user_id: Optional[str] = ""
+    inactive_reason: Optional[str] = ""
+    status: Optional[str] = ""
+    added_at: Optional[str] = ""
+    added_by_user_id: Optional[str] = ""
+    finished_at: Optional[str] = ""
+    paused_at: Optional[str] = ""
+    auto_unpause_at: Optional[str] = ""
+    send_email_from_email_address: Optional[str] = ""
+    send_email_from_email_account_id: Optional[str] = ""
+    manually_set_unpause: Optional[str] = ""
+    failure_reason: Optional[str] = ""
+    current_step_id: Optional[str] = ""
+    in_response_to_emailer_message_id: Optional[str] = ""
+    cc_emails: Optional[str] = ""
+    bcc_emails: Optional[str] = ""
+    to_emails: Optional[str] = ""
+
+
+class Account(BaseModel):
+    """An account in Apollo"""
+
+    id: Optional[str] = ""
+    name: Optional[str] = ""
+    website_url: Optional[str] = ""
+    blog_url: Optional[str] = ""
+    angellist_url: Optional[str] = ""
+    linkedin_url: Optional[str] = ""
+    twitter_url: Optional[str] = ""
+    facebook_url: Optional[str] = ""
+    primary_phone: Optional[PrimaryPhone] = PrimaryPhone()
+    languages: Optional[list[str]] = []
+    alexa_ranking: Optional[int] = 0
+    phone: Optional[str] = ""
+    linkedin_uid: Optional[str] = ""
+    founded_year: Optional[int] = 0
+    publicly_traded_symbol: Optional[str] = ""
+    publicly_traded_exchange: Optional[str] = ""
+    logo_url: Optional[str] = ""
+    chrunchbase_url: Optional[str] = ""
+    primary_domain: Optional[str] = ""
+    domain: Optional[str] = ""
+    team_id: Optional[str] = ""
+    organization_id: Optional[str] = ""
+    account_stage_id: Optional[str] = ""
+    source: Optional[str] = ""
+    original_source: Optional[str] = ""
+    creator_id: Optional[str] = ""
+    owner_id: Optional[str] = ""
+    created_at: Optional[str] = ""
+    phone_status: Optional[str] = ""
+    hubspot_id: Optional[str] = ""
+    salesforce_id: Optional[str] = ""
+    crm_owner_id: Optional[str] = ""
+    parent_account_id: Optional[str] = ""
+    sanitized_phone: Optional[str] = ""
+    # no listed type on the API docs
+    account_playbook_statues: Optional[list[Any]] = []
+    account_rule_config_statuses: Optional[list[RuleConfigStatus]] = []
+    existence_level: Optional[str] = ""
+    label_ids: Optional[list[str]] = []
+    typed_custom_fields: Optional[Any] = {}
+    custom_field_errors: Optional[Any] = {}
+    modality: Optional[str] = ""
+    source_display_name: Optional[str] = ""
+    salesforce_record_id: Optional[str] = ""
+    crm_record_url: Optional[str] = ""
+
+
+class ContactEmail(BaseModel):
+    """A contact email in Apollo"""
+
+    email: Optional[str] = ""
+    email_md5: Optional[str] = ""
+    email_sha256: Optional[str] = ""
+    email_status: Optional[str] = ""
+    email_source: Optional[str] = ""
+    extrapolated_email_confidence: Optional[str] = ""
+    position: Optional[int] = 0
+    email_from_customer: Optional[str] = ""
+    free_domain: Optional[bool] = True
+
+
+class EmploymentHistory(BaseModel):
+    """An employment history in Apollo"""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+        from_attributes=True,
+        populate_by_name=True,
+    )
+
+    _id: Optional[str] = ""
+    created_at: Optional[str] = ""
+    current: Optional[bool] = False
+    degree: Optional[str] = ""
+    description: Optional[str] = ""
+    emails: Optional[str] = ""
+    end_date: Optional[str] = ""
+    grade_level: Optional[str] = ""
+    kind: Optional[str] = ""
+    major: Optional[str] = ""
+    organization_id: Optional[str] = ""
+    organization_name: Optional[str] = ""
+    raw_address: Optional[str] = ""
+    start_date: Optional[str] = ""
+    title: Optional[str] = ""
+    updated_at: Optional[str] = ""
+    id: Optional[str] = ""
+    key: Optional[str] = ""
+
+
+class Breadcrumb(BaseModel):
+    """A breadcrumb in Apollo"""
+
+    label: Optional[str] = ""
+    signal_field_name: Optional[str] = ""
+    value: str | list | None = ""
+    display_name: Optional[str] = ""
+
+
+class TypedCustomField(BaseModel):
+    """A typed custom field in Apollo"""
+
+    id: Optional[str] = ""
+    value: Optional[str] = ""
+
+
+class Pagination(BaseModel):
+    """Pagination in Apollo"""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+        from_attributes=True,
+        populate_by_name=True,
+    )
+
+    page: int = 0
+    per_page: int = 0
+    total_entries: int = 0
+    total_pages: int = 0
+
+
+class DialerFlags(BaseModel):
+    """A dialer flags in Apollo"""
+
+    country_name: Optional[str] = ""
+    country_enabled: Optional[bool] = True
+    high_risk_calling_enabled: Optional[bool] = True
+    potential_high_risk_number: Optional[bool] = True
+
+
+class PhoneNumber(BaseModel):
+    """A phone number in Apollo"""
+
+    raw_number: Optional[str] = ""
+    sanitized_number: Optional[str] = ""
+    type: Optional[str] = ""
+    position: Optional[int] = 0
+    status: Optional[str] = ""
+    dnc_status: Optional[str] = ""
+    dnc_other_info: Optional[str] = ""
+    dailer_flags: Optional[DialerFlags] = DialerFlags(
+        country_name="",
+        country_enabled=True,
+        high_risk_calling_enabled=True,
+        potential_high_risk_number=True,
+    )
+
+
+class Organization(BaseModel):
+    """An organization in Apollo"""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+        from_attributes=True,
+        populate_by_name=True,
+    )
+
+    id: Optional[str] = ""
+    name: Optional[str] = ""
+    website_url: Optional[str] = ""
+    blog_url: Optional[str] = ""
+    angellist_url: Optional[str] = ""
+    linkedin_url: Optional[str] = ""
+    twitter_url: Optional[str] = ""
+    facebook_url: Optional[str] = ""
+    primary_phone: Optional[PrimaryPhone] = PrimaryPhone()
+    languages: Optional[list[str]] = []
+    alexa_ranking: Optional[int] = 0
+    phone: Optional[str] = ""
+    linkedin_uid: Optional[str] = ""
+    founded_year: Optional[int] = 0
+    publicly_traded_symbol: Optional[str] = ""
+    publicly_traded_exchange: Optional[str] = ""
+    logo_url: Optional[str] = ""
+    chrunchbase_url: Optional[str] = ""
+    primary_domain: Optional[str] = ""
+    sanitized_phone: Optional[str] = ""
+    owned_by_organization_id: Optional[str] = ""
+    intent_strength: Optional[str] = ""
+    show_intent: Optional[bool] = True
+    has_intent_signal_account: Optional[bool] = True
+    intent_signal_account: Optional[str] = ""
+
+
+class Contact(BaseModel):
+    """A contact in Apollo"""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+        from_attributes=True,
+        populate_by_name=True,
+    )
+
+    contact_roles: Optional[list[Any]] = []
+    id: Optional[str] = ""
+    first_name: Optional[str] = ""
+    last_name: Optional[str] = ""
+    name: Optional[str] = ""
+    linkedin_url: Optional[str] = ""
+    title: Optional[str] = ""
+    contact_stage_id: Optional[str] = ""
+    owner_id: Optional[str] = ""
+    creator_id: Optional[str] = ""
+    person_id: Optional[str] = ""
+    email_needs_tickling: Optional[bool] = True
+    organization_name: Optional[str] = ""
+    source: Optional[str] = ""
+    original_source: Optional[str] = ""
+    organization_id: Optional[str] = ""
+    headline: Optional[str] = ""
+    photo_url: Optional[str] = ""
+    present_raw_address: Optional[str] = ""
+    linkededin_uid: Optional[str] = ""
+    extrapolated_email_confidence: Optional[float] = 0.0
+    salesforce_id: Optional[str] = ""
+    salesforce_lead_id: Optional[str] = ""
+    salesforce_contact_id: Optional[str] = ""
+    saleforce_account_id: Optional[str] = ""
+    crm_owner_id: Optional[str] = ""
+    created_at: Optional[str] = ""
+    emailer_campaign_ids: Optional[list[str]] = []
+    direct_dial_status: Optional[str] = ""
+    direct_dial_enrichment_failed_at: Optional[str] = ""
+    email_status: Optional[str] = ""
+    email_source: Optional[str] = ""
+    account_id: Optional[str] = ""
+    last_activity_date: Optional[str] = ""
+    hubspot_vid: Optional[str] = ""
+    hubspot_company_id: Optional[str] = ""
+    crm_id: Optional[str] = ""
+    sanitized_phone: Optional[str] = ""
+    merged_crm_ids: Optional[str] = ""
+    updated_at: Optional[str] = ""
+    queued_for_crm_push: Optional[bool] = True
+    suggested_from_rule_engine_config_id: Optional[str] = ""
+    email_unsubscribed: Optional[str] = ""
+    label_ids: Optional[list[Any]] = []
+    has_pending_email_arcgate_request: Optional[bool] = True
+    has_email_arcgate_request: Optional[bool] = True
+    existence_level: Optional[str] = ""
+    email: Optional[str] = ""
+    email_from_customer: Optional[str] = ""
+    typed_custom_fields: Optional[list[TypedCustomField]] = []
+    custom_field_errors: Optional[Any] = {}
+    salesforce_record_id: Optional[str] = ""
+    crm_record_url: Optional[str] = ""
+    email_status_unavailable_reason: Optional[str] = ""
+    email_true_status: Optional[str] = ""
+    updated_email_true_status: Optional[bool] = True
+    contact_rule_config_statuses: Optional[list[RuleConfigStatus]] = []
+    source_display_name: Optional[str] = ""
+    twitter_url: Optional[str] = ""
+    contact_campaign_statuses: Optional[list[ContactCampaignStatus]] = []
+    state: Optional[str] = ""
+    city: Optional[str] = ""
+    country: Optional[str] = ""
+    account: Optional[Account] = Account()
+    contact_emails: Optional[list[ContactEmail]] = []
+    organization: Optional[Organization] = Organization()
+    employment_history: Optional[list[EmploymentHistory]] = []
+    time_zone: Optional[str] = ""
+    intent_strength: Optional[str] = ""
+    show_intent: Optional[bool] = True
+    phone_numbers: Optional[list[PhoneNumber]] = []
+    account_phone_note: Optional[str] = ""
+    free_domain: Optional[bool] = True
+    is_likely_to_engage: Optional[bool] = True
+    email_domain_catchall: Optional[bool] = True
+    contact_job_change_event: Optional[str] = ""
+
+
+class SearchOrganizationsRequest(BaseModel):
+    """Request for Apollo's search organizations API"""
+
+    organization_num_employees_range: Optional[list[int]] = SchemaField(
+        description="""The number range of employees working for the company. This enables you to find companies based on headcount. You can add multiple ranges to expand your search results.
+
+Each range you add needs to be a string, with the upper and lower numbers of the range separated only by a comma.""",
+        default=[0, 1000000],
+    )
+
+    organization_locations: Optional[list[str]] = SchemaField(
+        description="""The location of the company headquarters. You can search across cities, US states, and countries.
+
+If a company has several office locations, results are still based on the headquarters location. For example, if you search chicago but a company's HQ location is in boston, any Boston-based companies will not appearch in your search results, even if they match other parameters.
+
+To exclude companies based on location, use the organization_not_locations parameter.
+""",
+        default_factory=list,
+    )
+    organizations_not_locations: Optional[list[str]] = SchemaField(
+        description="""Exclude companies from search results based on the location of the company headquarters. You can use cities, US states, and countries as locations to exclude.
+
+This parameter is useful for ensuring you do not prospect in an undesirable territory. For example, if you use ireland as a value, no Ireland-based companies will appear in your search results.
+""",
+        default_factory=list,
+    )
+    q_organization_keyword_tags: Optional[list[str]] = SchemaField(
+        description="""Filter search results based on keywords associated with companies. For example, you can enter mining as a value to return only companies that have an association with the mining industry.""",
+        default_factory=list,
+    )
+    q_organization_name: Optional[str] = SchemaField(
+        description="""Filter search results to include a specific company name.
+
+If the value you enter for this parameter does not match with a company's name, the company will not appear in search results, even if it matches other parameters. Partial matches are accepted. For example, if you filter by the value marketing, a company called NY Marketing Unlimited would still be eligible as a search result, but NY Market Analysis would not be eligible.""",
+        default="",
+    )
+    organization_ids: Optional[list[str]] = SchemaField(
+        description="""The Apollo IDs for the companies you want to include in your search results. Each company in the Apollo database is assigned a unique ID.
+
+To find IDs, identify the values for organization_id when you call this endpoint.""",
+        default_factory=list,
+    )
+    max_results: Optional[int] = SchemaField(
+        description="""The maximum number of results to return. If you don't specify this parameter, the default is 100.""",
+        default=100,
+        ge=1,
+        le=50000,
+        advanced=True,
+    )
+
+    page: int = SchemaField(
+        description="""The page number of the Apollo data that you want to retrieve.
+
+Use this parameter in combination with the per_page parameter to make search results for navigable and improve the performance of the endpoint.""",
+        default=1,
+    )
+    per_page: int = SchemaField(
+        description="""The number of search results that should be returned for each page. Limited the number of results per page improves the endpoint's performance.
+
+Use the page parameter to search the different pages of data.""",
+        default=100,
+    )
+
+
+class SearchOrganizationsResponse(BaseModel):
+    """Response from Apollo's search organizations API"""
+
+    breadcrumbs: Optional[list[Breadcrumb]] = []
+    partial_results_only: Optional[bool] = True
+    has_join: Optional[bool] = True
+    disable_eu_prospecting: Optional[bool] = True
+    partial_results_limit: Optional[int] = 0
+    pagination: Pagination = Pagination(
+        page=0, per_page=0, total_entries=0, total_pages=0
+    )
+    # no listed type on the API docs
+    accounts: list[Any] = []
+    organizations: list[Organization] = []
+    models_ids: list[str] = []
+    num_fetch_result: Optional[str] = ""
+    derived_params: Optional[str] = ""
+
+
+class SearchPeopleRequest(BaseModel):
+    """Request for Apollo's search people API"""
+
+    person_titles: Optional[list[str]] = SchemaField(
+        description="""Job titles held by the people you want to find. For a person to be included in search results, they only need to match 1 of the job titles you add. Adding more job titles expands your search results.
+
+Results also include job titles with the same terms, even if they are not exact matches. For example, searching for marketing manager might return people with the job title content marketing manager.
+
+Use this parameter in combination with the person_seniorities[] parameter to find people based on specific job functions and seniority levels.
+""",
+        default_factory=list,
+        placeholder="marketing manager",
+    )
+    person_locations: Optional[list[str]] = SchemaField(
+        description="""The location where people live. You can search across cities, US states, and countries.
+
+To find people based on the headquarters locations of their current employer, use the organization_locations parameter.""",
+        default_factory=list,
+    )
+    person_seniorities: Optional[list[SenorityLevels]] = SchemaField(
+        description="""The job seniority that people hold within their current employer. This enables you to find people that currently hold positions at certain reporting levels, such as Director level or senior IC level.
+
+For a person to be included in search results, they only need to match 1 of the seniorities you add. Adding more seniorities expands your search results.
+
+Searches only return results based on their current job title, so searching for Director-level employees only returns people that currently hold a Director-level title. If someone was previously a Director, but is currently a VP, they would not be included in your search results.
+
+Use this parameter in combination with the person_titles[] parameter to find people based on specific job functions and seniority levels.""",
+        default_factory=list,
+    )
+    organization_locations: Optional[list[str]] = SchemaField(
+        description="""The location of the company headquarters for a person's current employer. You can search across cities, US states, and countries.
+
+If a company has several office locations, results are still based on the headquarters location. For example, if you search chicago but a company's HQ location is in boston, people that work for the Boston-based company will not appear in your results, even if they match other parameters.
+
+To find people based on their personal location, use the person_locations parameter.""",
+        default_factory=list,
+    )
+    q_organization_domains: Optional[list[str]] = SchemaField(
+        description="""The domain name for the person's employer. This can be the current employer or a previous employer. Do not include www., the @ symbol, or similar.
+
+You can add multiple domains to search across companies.
+
+  Examples: apollo.io and microsoft.com""",
+        default_factory=list,
+    )
+    contact_email_statuses: Optional[list[ContactEmailStatuses]] = SchemaField(
+        description="""The email statuses for the people you want to find. You can add multiple statuses to expand your search.""",
+        default_factory=list,
+    )
+    organization_ids: Optional[list[str]] = SchemaField(
+        description="""The Apollo IDs for the companies (employers) you want to include in your search results. Each company in the Apollo database is assigned a unique ID.
+
+To find IDs, call the Organization Search endpoint and identify the values for organization_id.""",
+        default_factory=list,
+    )
+    organization_num_employees_range: Optional[list[int]] = SchemaField(
+        description="""The number range of employees working for the company. This enables you to find companies based on headcount. You can add multiple ranges to expand your search results.
+
+Each range you add needs to be a string, with the upper and lower numbers of the range separated only by a comma.""",
+        default_factory=list,
+    )
+    q_keywords: Optional[str] = SchemaField(
+        description="""A string of words over which we want to filter the results""",
+        default="",
+    )
+    page: int = SchemaField(
+        description="""The page number of the Apollo data that you want to retrieve.
+
+Use this parameter in combination with the per_page parameter to make search results for navigable and improve the performance of the endpoint.""",
+        default=1,
+    )
+    per_page: int = SchemaField(
+        description="""The number of search results that should be returned for each page. Limited the number of results per page improves the endpoint's performance.
+
+Use the page parameter to search the different pages of data.""",
+        default=100,
+    )
+    max_results: Optional[int] = SchemaField(
+        description="""The maximum number of results to return. If you don't specify this parameter, the default is 100.""",
+        default=100,
+        ge=1,
+        le=50000,
+        advanced=True,
+    )
+
+
+class SearchPeopleResponse(BaseModel):
+    """Response from Apollo's search people API"""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+        from_attributes=True,
+        populate_by_name=True,
+    )
+
+    breadcrumbs: Optional[list[Breadcrumb]] = []
+    partial_results_only: Optional[bool] = True
+    has_join: Optional[bool] = True
+    disable_eu_prospecting: Optional[bool] = True
+    partial_results_limit: Optional[int] = 0
+    pagination: Pagination = Pagination(
+        page=0, per_page=0, total_entries=0, total_pages=0
+    )
+    contacts: list[Contact] = []
+    people: list[Contact] = []
+    model_ids: list[str] = []
+    num_fetch_result: Optional[str] = ""
+    derived_params: Optional[str] = ""
+
+
+class EnrichPersonRequest(BaseModel):
+    """Request for Apollo's person enrichment API"""
+
+    person_id: Optional[str] = SchemaField(
+        description="Apollo person ID to enrich (most accurate method)",
+        default="",
+    )
+    first_name: Optional[str] = SchemaField(
+        description="First name of the person to enrich",
+        default="",
+    )
+    last_name: Optional[str] = SchemaField(
+        description="Last name of the person to enrich",
+        default="",
+    )
+    name: Optional[str] = SchemaField(
+        description="Full name of the person to enrich",
+        default="",
+    )
+    email: Optional[str] = SchemaField(
+        description="Email address of the person to enrich",
+        default="",
+    )
+    domain: Optional[str] = SchemaField(
+        description="Company domain of the person to enrich",
+        default="",
+    )
+    company: Optional[str] = SchemaField(
+        description="Company name of the person to enrich",
+        default="",
+    )
+    linkedin_url: Optional[str] = SchemaField(
+        description="LinkedIn URL of the person to enrich",
+        default="",
+    )
+    organization_id: Optional[str] = SchemaField(
+        description="Apollo organization ID of the person's company",
+        default="",
+    )
+    title: Optional[str] = SchemaField(
+        description="Job title of the person to enrich",
+        default="",
+    )
diff --git a/autogpt_platform/backend/backend/blocks/apollo/organization.py b/autogpt_platform/backend/backend/blocks/apollo/organization.py
new file mode 100644
index 000000000000..10abec082559
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/apollo/organization.py
@@ -0,0 +1,217 @@
+from backend.blocks.apollo._api import ApolloClient
+from backend.blocks.apollo._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    ApolloCredentials,
+    ApolloCredentialsInput,
+)
+from backend.blocks.apollo.models import (
+    Organization,
+    PrimaryPhone,
+    SearchOrganizationsRequest,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import CredentialsField, SchemaField
+
+
+class SearchOrganizationsBlock(Block):
+    """Search for organizations in Apollo"""
+
+    class Input(BlockSchema):
+        organization_num_employees_range: list[int] = SchemaField(
+            description="""The number range of employees working for the company. This enables you to find companies based on headcount. You can add multiple ranges to expand your search results.
+
+Each range you add needs to be a string, with the upper and lower numbers of the range separated only by a comma.""",
+            default=[0, 1000000],
+        )
+
+        organization_locations: list[str] = SchemaField(
+            description="""The location of the company headquarters. You can search across cities, US states, and countries.
+
+If a company has several office locations, results are still based on the headquarters location. For example, if you search chicago but a company's HQ location is in boston, any Boston-based companies will not appearch in your search results, even if they match other parameters.
+
+To exclude companies based on location, use the organization_not_locations parameter.
+""",
+            default_factory=list,
+        )
+        organizations_not_locations: list[str] = SchemaField(
+            description="""Exclude companies from search results based on the location of the company headquarters. You can use cities, US states, and countries as locations to exclude.
+
+This parameter is useful for ensuring you do not prospect in an undesirable territory. For example, if you use ireland as a value, no Ireland-based companies will appear in your search results.
+""",
+            default_factory=list,
+        )
+        q_organization_keyword_tags: list[str] = SchemaField(
+            description="""Filter search results based on keywords associated with companies. For example, you can enter mining as a value to return only companies that have an association with the mining industry.""",
+            default_factory=list,
+        )
+        q_organization_name: str = SchemaField(
+            description="""Filter search results to include a specific company name.
+
+If the value you enter for this parameter does not match with a company's name, the company will not appear in search results, even if it matches other parameters. Partial matches are accepted. For example, if you filter by the value marketing, a company called NY Marketing Unlimited would still be eligible as a search result, but NY Market Analysis would not be eligible.""",
+            default="",
+            advanced=False,
+        )
+        organization_ids: list[str] = SchemaField(
+            description="""The Apollo IDs for the companies you want to include in your search results. Each company in the Apollo database is assigned a unique ID.
+
+To find IDs, identify the values for organization_id when you call this endpoint.""",
+            default_factory=list,
+        )
+        max_results: int = SchemaField(
+            description="""The maximum number of results to return. If you don't specify this parameter, the default is 100.""",
+            default=100,
+            ge=1,
+            le=50000,
+            advanced=True,
+        )
+        credentials: ApolloCredentialsInput = CredentialsField(
+            description="Apollo credentials",
+        )
+
+    class Output(BlockSchema):
+        organizations: list[Organization] = SchemaField(
+            description="List of organizations found",
+            default_factory=list,
+        )
+        organization: Organization = SchemaField(
+            description="Each found organization, one at a time",
+        )
+        error: str = SchemaField(
+            description="Error message if the search failed",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="3d71270d-599e-4148-9b95-71b35d2f44f0",
+            description="Search for organizations in Apollo",
+            categories={BlockCategory.SEARCH},
+            input_schema=SearchOrganizationsBlock.Input,
+            output_schema=SearchOrganizationsBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={"query": "Google", "credentials": TEST_CREDENTIALS_INPUT},
+            test_output=[
+                (
+                    "organization",
+                    Organization(
+                        id="1",
+                        name="Google",
+                        website_url="https://google.com",
+                        blog_url="https://google.com/blog",
+                        angellist_url="https://angel.co/google",
+                        linkedin_url="https://linkedin.com/company/google",
+                        twitter_url="https://twitter.com/google",
+                        facebook_url="https://facebook.com/google",
+                        primary_phone=PrimaryPhone(
+                            source="google",
+                            number="1234567890",
+                            sanitized_number="1234567890",
+                        ),
+                        languages=["en"],
+                        alexa_ranking=1000,
+                        phone="1234567890",
+                        linkedin_uid="1234567890",
+                        founded_year=2000,
+                        publicly_traded_symbol="GOOGL",
+                        publicly_traded_exchange="NASDAQ",
+                        logo_url="https://google.com/logo.png",
+                        chrunchbase_url="https://chrunchbase.com/google",
+                        primary_domain="google.com",
+                        sanitized_phone="1234567890",
+                        owned_by_organization_id="1",
+                        intent_strength="strong",
+                        show_intent=True,
+                        has_intent_signal_account=True,
+                        intent_signal_account="1",
+                    ),
+                ),
+                (
+                    "organizations",
+                    [
+                        Organization(
+                            id="1",
+                            name="Google",
+                            website_url="https://google.com",
+                            blog_url="https://google.com/blog",
+                            angellist_url="https://angel.co/google",
+                            linkedin_url="https://linkedin.com/company/google",
+                            twitter_url="https://twitter.com/google",
+                            facebook_url="https://facebook.com/google",
+                            primary_phone=PrimaryPhone(
+                                source="google",
+                                number="1234567890",
+                                sanitized_number="1234567890",
+                            ),
+                            languages=["en"],
+                            alexa_ranking=1000,
+                            phone="1234567890",
+                            linkedin_uid="1234567890",
+                            founded_year=2000,
+                            publicly_traded_symbol="GOOGL",
+                            publicly_traded_exchange="NASDAQ",
+                            logo_url="https://google.com/logo.png",
+                            chrunchbase_url="https://chrunchbase.com/google",
+                            primary_domain="google.com",
+                            sanitized_phone="1234567890",
+                            owned_by_organization_id="1",
+                            intent_strength="strong",
+                            show_intent=True,
+                            has_intent_signal_account=True,
+                            intent_signal_account="1",
+                        ),
+                    ],
+                ),
+            ],
+            test_mock={
+                "search_organizations": lambda *args, **kwargs: [
+                    Organization(
+                        id="1",
+                        name="Google",
+                        website_url="https://google.com",
+                        blog_url="https://google.com/blog",
+                        angellist_url="https://angel.co/google",
+                        linkedin_url="https://linkedin.com/company/google",
+                        twitter_url="https://twitter.com/google",
+                        facebook_url="https://facebook.com/google",
+                        primary_phone=PrimaryPhone(
+                            source="google",
+                            number="1234567890",
+                            sanitized_number="1234567890",
+                        ),
+                        languages=["en"],
+                        alexa_ranking=1000,
+                        phone="1234567890",
+                        linkedin_uid="1234567890",
+                        founded_year=2000,
+                        publicly_traded_symbol="GOOGL",
+                        publicly_traded_exchange="NASDAQ",
+                        logo_url="https://google.com/logo.png",
+                        chrunchbase_url="https://chrunchbase.com/google",
+                        primary_domain="google.com",
+                        sanitized_phone="1234567890",
+                        owned_by_organization_id="1",
+                        intent_strength="strong",
+                        show_intent=True,
+                        has_intent_signal_account=True,
+                        intent_signal_account="1",
+                    )
+                ]
+            },
+        )
+
+    @staticmethod
+    async def search_organizations(
+        query: SearchOrganizationsRequest, credentials: ApolloCredentials
+    ) -> list[Organization]:
+        client = ApolloClient(credentials)
+        return await client.search_organizations(query)
+
+    async def run(
+        self, input_data: Input, *, credentials: ApolloCredentials, **kwargs
+    ) -> BlockOutput:
+        query = SearchOrganizationsRequest(**input_data.model_dump())
+        organizations = await self.search_organizations(query, credentials)
+        for organization in organizations:
+            yield "organization", organization
+        yield "organizations", organizations
diff --git a/autogpt_platform/backend/backend/blocks/apollo/people.py b/autogpt_platform/backend/backend/blocks/apollo/people.py
new file mode 100644
index 000000000000..0ef35cd44593
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/apollo/people.py
@@ -0,0 +1,363 @@
+import asyncio
+
+from backend.blocks.apollo._api import ApolloClient
+from backend.blocks.apollo._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    ApolloCredentials,
+    ApolloCredentialsInput,
+)
+from backend.blocks.apollo.models import (
+    Contact,
+    ContactEmailStatuses,
+    EnrichPersonRequest,
+    SearchPeopleRequest,
+    SenorityLevels,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import CredentialsField, SchemaField
+
+
+class SearchPeopleBlock(Block):
+    """Search for people in Apollo"""
+
+    class Input(BlockSchema):
+        person_titles: list[str] = SchemaField(
+            description="""Job titles held by the people you want to find. For a person to be included in search results, they only need to match 1 of the job titles you add. Adding more job titles expands your search results.
+
+        Results also include job titles with the same terms, even if they are not exact matches. For example, searching for marketing manager might return people with the job title content marketing manager.
+
+        Use this parameter in combination with the person_seniorities[] parameter to find people based on specific job functions and seniority levels.
+        """,
+            default_factory=list,
+            advanced=False,
+        )
+        person_locations: list[str] = SchemaField(
+            description="""The location where people live. You can search across cities, US states, and countries.
+
+        To find people based on the headquarters locations of their current employer, use the organization_locations parameter.""",
+            default_factory=list,
+            advanced=False,
+        )
+        person_seniorities: list[SenorityLevels] = SchemaField(
+            description="""The job seniority that people hold within their current employer. This enables you to find people that currently hold positions at certain reporting levels, such as Director level or senior IC level.
+
+        For a person to be included in search results, they only need to match 1 of the seniorities you add. Adding more seniorities expands your search results.
+
+        Searches only return results based on their current job title, so searching for Director-level employees only returns people that currently hold a Director-level title. If someone was previously a Director, but is currently a VP, they would not be included in your search results.
+
+        Use this parameter in combination with the person_titles[] parameter to find people based on specific job functions and seniority levels.""",
+            default_factory=list,
+            advanced=False,
+        )
+        organization_locations: list[str] = SchemaField(
+            description="""The location of the company headquarters for a person's current employer. You can search across cities, US states, and countries.
+
+        If a company has several office locations, results are still based on the headquarters location. For example, if you search chicago but a company's HQ location is in boston, people that work for the Boston-based company will not appear in your results, even if they match other parameters.
+
+        To find people based on their personal location, use the person_locations parameter.""",
+            default_factory=list,
+            advanced=False,
+        )
+        q_organization_domains: list[str] = SchemaField(
+            description="""The domain name for the person's employer. This can be the current employer or a previous employer. Do not include www., the @ symbol, or similar.
+
+        You can add multiple domains to search across companies.
+
+          Examples: apollo.io and microsoft.com""",
+            default_factory=list,
+            advanced=False,
+        )
+        contact_email_statuses: list[ContactEmailStatuses] = SchemaField(
+            description="""The email statuses for the people you want to find. You can add multiple statuses to expand your search.""",
+            default_factory=list,
+            advanced=False,
+        )
+        organization_ids: list[str] = SchemaField(
+            description="""The Apollo IDs for the companies (employers) you want to include in your search results. Each company in the Apollo database is assigned a unique ID.
+
+        To find IDs, call the Organization Search endpoint and identify the values for organization_id.""",
+            default_factory=list,
+            advanced=False,
+        )
+        organization_num_employees_range: list[int] = SchemaField(
+            description="""The number range of employees working for the company. This enables you to find companies based on headcount. You can add multiple ranges to expand your search results.
+
+        Each range you add needs to be a string, with the upper and lower numbers of the range separated only by a comma.""",
+            default_factory=list,
+            advanced=False,
+        )
+        q_keywords: str = SchemaField(
+            description="""A string of words over which we want to filter the results""",
+            default="",
+            advanced=False,
+        )
+        max_results: int = SchemaField(
+            description="""The maximum number of results to return. If you don't specify this parameter, the default is 25. Limited to 500 to prevent overspending.""",
+            default=25,
+            ge=1,
+            le=500,
+            advanced=True,
+        )
+        enrich_info: bool = SchemaField(
+            description="""Whether to enrich contacts with detailed information including real email addresses. This will double the search cost.""",
+            default=False,
+            advanced=True,
+        )
+
+        credentials: ApolloCredentialsInput = CredentialsField(
+            description="Apollo credentials",
+        )
+
+    class Output(BlockSchema):
+        people: list[Contact] = SchemaField(
+            description="List of people found",
+            default_factory=list,
+        )
+        error: str = SchemaField(
+            description="Error message if the search failed",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="c2adb3aa-5aae-488d-8a6e-4eb8c23e2ed6",
+            description="Search for people in Apollo",
+            categories={BlockCategory.SEARCH},
+            input_schema=SearchPeopleBlock.Input,
+            output_schema=SearchPeopleBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT},
+            test_output=[
+                (
+                    "people",
+                    [
+                        Contact(
+                            contact_roles=[],
+                            id="1",
+                            name="John Doe",
+                            first_name="John",
+                            last_name="Doe",
+                            linkedin_url="https://www.linkedin.com/in/johndoe",
+                            title="Software Engineer",
+                            organization_name="Google",
+                            organization_id="123456",
+                            contact_stage_id="1",
+                            owner_id="1",
+                            creator_id="1",
+                            person_id="1",
+                            email_needs_tickling=True,
+                            source="apollo",
+                            original_source="apollo",
+                            headline="Software Engineer",
+                            photo_url="https://www.linkedin.com/in/johndoe",
+                            present_raw_address="123 Main St, Anytown, USA",
+                            linkededin_uid="123456",
+                            extrapolated_email_confidence=0.8,
+                            salesforce_id="123456",
+                            salesforce_lead_id="123456",
+                            salesforce_contact_id="123456",
+                            saleforce_account_id="123456",
+                            crm_owner_id="123456",
+                            created_at="2021-01-01",
+                            emailer_campaign_ids=[],
+                            direct_dial_status="active",
+                            direct_dial_enrichment_failed_at="2021-01-01",
+                            email_status="active",
+                            email_source="apollo",
+                            account_id="123456",
+                            last_activity_date="2021-01-01",
+                            hubspot_vid="123456",
+                            hubspot_company_id="123456",
+                            crm_id="123456",
+                            sanitized_phone="123456",
+                            merged_crm_ids="123456",
+                            updated_at="2021-01-01",
+                            queued_for_crm_push=True,
+                            suggested_from_rule_engine_config_id="123456",
+                            email_unsubscribed=None,
+                            label_ids=[],
+                            has_pending_email_arcgate_request=True,
+                            has_email_arcgate_request=True,
+                            existence_level=None,
+                            email=None,
+                            email_from_customer=None,
+                            typed_custom_fields=[],
+                            custom_field_errors=None,
+                            salesforce_record_id=None,
+                            crm_record_url=None,
+                            email_status_unavailable_reason=None,
+                            email_true_status=None,
+                            updated_email_true_status=True,
+                            contact_rule_config_statuses=[],
+                            source_display_name=None,
+                            twitter_url=None,
+                            contact_campaign_statuses=[],
+                            state=None,
+                            city=None,
+                            country=None,
+                            account=None,
+                            contact_emails=[],
+                            organization=None,
+                            employment_history=[],
+                            time_zone=None,
+                            intent_strength=None,
+                            show_intent=True,
+                            phone_numbers=[],
+                            account_phone_note=None,
+                            free_domain=True,
+                            is_likely_to_engage=True,
+                            email_domain_catchall=True,
+                            contact_job_change_event=None,
+                        ),
+                    ],
+                ),
+            ],
+            test_mock={
+                "search_people": lambda query, credentials: [
+                    Contact(
+                        id="1",
+                        name="John Doe",
+                        first_name="John",
+                        last_name="Doe",
+                        linkedin_url="https://www.linkedin.com/in/johndoe",
+                        title="Software Engineer",
+                        organization_name="Google",
+                        organization_id="123456",
+                        contact_stage_id="1",
+                        owner_id="1",
+                        creator_id="1",
+                        person_id="1",
+                        email_needs_tickling=True,
+                        source="apollo",
+                        original_source="apollo",
+                        headline="Software Engineer",
+                        photo_url="https://www.linkedin.com/in/johndoe",
+                        present_raw_address="123 Main St, Anytown, USA",
+                        linkededin_uid="123456",
+                        extrapolated_email_confidence=0.8,
+                        salesforce_id="123456",
+                        salesforce_lead_id="123456",
+                        salesforce_contact_id="123456",
+                        saleforce_account_id="123456",
+                        crm_owner_id="123456",
+                        created_at="2021-01-01",
+                        emailer_campaign_ids=[],
+                        direct_dial_status="active",
+                        direct_dial_enrichment_failed_at="2021-01-01",
+                        email_status="active",
+                        email_source="apollo",
+                        account_id="123456",
+                        last_activity_date="2021-01-01",
+                        hubspot_vid="123456",
+                        hubspot_company_id="123456",
+                        crm_id="123456",
+                        sanitized_phone="123456",
+                        merged_crm_ids="123456",
+                        updated_at="2021-01-01",
+                        queued_for_crm_push=True,
+                        suggested_from_rule_engine_config_id="123456",
+                        email_unsubscribed=None,
+                        label_ids=[],
+                        has_pending_email_arcgate_request=True,
+                        has_email_arcgate_request=True,
+                        existence_level=None,
+                        email=None,
+                        email_from_customer=None,
+                        typed_custom_fields=[],
+                        custom_field_errors=None,
+                        salesforce_record_id=None,
+                        crm_record_url=None,
+                        email_status_unavailable_reason=None,
+                        email_true_status=None,
+                        updated_email_true_status=True,
+                        contact_rule_config_statuses=[],
+                        source_display_name=None,
+                        twitter_url=None,
+                        contact_campaign_statuses=[],
+                        state=None,
+                        city=None,
+                        country=None,
+                        account=None,
+                        contact_emails=[],
+                        organization=None,
+                        employment_history=[],
+                        time_zone=None,
+                        intent_strength=None,
+                        show_intent=True,
+                        phone_numbers=[],
+                        account_phone_note=None,
+                        free_domain=True,
+                        is_likely_to_engage=True,
+                        email_domain_catchall=True,
+                        contact_job_change_event=None,
+                    ),
+                ]
+            },
+        )
+
+    @staticmethod
+    async def search_people(
+        query: SearchPeopleRequest, credentials: ApolloCredentials
+    ) -> list[Contact]:
+        client = ApolloClient(credentials)
+        return await client.search_people(query)
+
+    @staticmethod
+    async def enrich_person(
+        query: EnrichPersonRequest, credentials: ApolloCredentials
+    ) -> Contact:
+        client = ApolloClient(credentials)
+        return await client.enrich_person(query)
+
+    @staticmethod
+    def merge_contact_data(original: Contact, enriched: Contact) -> Contact:
+        """
+        Merge contact data from original search with enriched data.
+        Enriched data complements original data, only filling in missing values.
+        """
+        merged_data = original.model_dump()
+        enriched_data = enriched.model_dump()
+
+        # Only update fields that are None, empty string, empty list, or default values in original
+        for key, enriched_value in enriched_data.items():
+            # Skip if enriched value is None, empty string, or empty list
+            if enriched_value is None or enriched_value == "" or enriched_value == []:
+                continue
+
+            # Update if original value is None, empty string, empty list, or zero
+            if enriched_value:
+                merged_data[key] = enriched_value
+
+        return Contact(**merged_data)
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: ApolloCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+
+        query = SearchPeopleRequest(**input_data.model_dump())
+        people = await self.search_people(query, credentials)
+
+        # Enrich with detailed info if requested
+        if input_data.enrich_info:
+
+            async def enrich_or_fallback(person: Contact):
+                try:
+                    enrich_query = EnrichPersonRequest(person_id=person.id)
+                    enriched_person = await self.enrich_person(
+                        enrich_query, credentials
+                    )
+                    # Merge enriched data with original data, complementing instead of replacing
+                    return self.merge_contact_data(person, enriched_person)
+                except Exception:
+                    return person  # If enrichment fails, use original person data
+
+            people = await asyncio.gather(
+                *(enrich_or_fallback(person) for person in people)
+            )
+
+        yield "people", people
diff --git a/autogpt_platform/backend/backend/blocks/apollo/person.py b/autogpt_platform/backend/backend/blocks/apollo/person.py
new file mode 100644
index 000000000000..dad8ab733fff
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/apollo/person.py
@@ -0,0 +1,138 @@
+from backend.blocks.apollo._api import ApolloClient
+from backend.blocks.apollo._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    ApolloCredentials,
+    ApolloCredentialsInput,
+)
+from backend.blocks.apollo.models import Contact, EnrichPersonRequest
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import CredentialsField, SchemaField
+
+
+class GetPersonDetailBlock(Block):
+    """Get detailed person data with Apollo API, including email reveal"""
+
+    class Input(BlockSchema):
+        person_id: str = SchemaField(
+            description="Apollo person ID to enrich (most accurate method)",
+            default="",
+            advanced=False,
+        )
+        first_name: str = SchemaField(
+            description="First name of the person to enrich",
+            default="",
+            advanced=False,
+        )
+        last_name: str = SchemaField(
+            description="Last name of the person to enrich",
+            default="",
+            advanced=False,
+        )
+        name: str = SchemaField(
+            description="Full name of the person to enrich (alternative to first_name + last_name)",
+            default="",
+            advanced=False,
+        )
+        email: str = SchemaField(
+            description="Known email address of the person (helps with matching)",
+            default="",
+            advanced=False,
+        )
+        domain: str = SchemaField(
+            description="Company domain of the person (e.g., 'google.com')",
+            default="",
+            advanced=False,
+        )
+        company: str = SchemaField(
+            description="Company name of the person",
+            default="",
+            advanced=False,
+        )
+        linkedin_url: str = SchemaField(
+            description="LinkedIn URL of the person",
+            default="",
+            advanced=False,
+        )
+        organization_id: str = SchemaField(
+            description="Apollo organization ID of the person's company",
+            default="",
+            advanced=True,
+        )
+        title: str = SchemaField(
+            description="Job title of the person to enrich",
+            default="",
+            advanced=True,
+        )
+        credentials: ApolloCredentialsInput = CredentialsField(
+            description="Apollo credentials",
+        )
+
+    class Output(BlockSchema):
+        contact: Contact = SchemaField(
+            description="Enriched contact information",
+        )
+        error: str = SchemaField(
+            description="Error message if enrichment failed",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="3b18d46c-3db6-42ae-a228-0ba441bdd176",
+            description="Get detailed person data with Apollo API, including email reveal",
+            categories={BlockCategory.SEARCH},
+            input_schema=GetPersonDetailBlock.Input,
+            output_schema=GetPersonDetailBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "first_name": "John",
+                "last_name": "Doe",
+                "company": "Google",
+            },
+            test_output=[
+                (
+                    "contact",
+                    Contact(
+                        id="1",
+                        name="John Doe",
+                        first_name="John",
+                        last_name="Doe",
+                        email="john.doe@gmail.com",
+                        title="Software Engineer",
+                        organization_name="Google",
+                        linkedin_url="https://www.linkedin.com/in/johndoe",
+                    ),
+                ),
+            ],
+            test_mock={
+                "enrich_person": lambda query, credentials: Contact(
+                    id="1",
+                    name="John Doe",
+                    first_name="John",
+                    last_name="Doe",
+                    email="john.doe@gmail.com",
+                    title="Software Engineer",
+                    organization_name="Google",
+                    linkedin_url="https://www.linkedin.com/in/johndoe",
+                )
+            },
+        )
+
+    @staticmethod
+    async def enrich_person(
+        query: EnrichPersonRequest, credentials: ApolloCredentials
+    ) -> Contact:
+        client = ApolloClient(credentials)
+        return await client.enrich_person(query)
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: ApolloCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        query = EnrichPersonRequest(**input_data.model_dump())
+        yield "contact", await self.enrich_person(query, credentials)
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/__init__.py b/autogpt_platform/backend/backend/blocks/ayrshare/__init__.py
new file mode 100644
index 000000000000..94a567109e60
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/__init__.py
@@ -0,0 +1,15 @@
+AYRSHARE_BLOCK_IDS = [
+    "cbd52c2a-06d2-43ed-9560-6576cc163283",  # PostToBlueskyBlock
+    "3352f512-3524-49ed-a08f-003042da2fc1",  # PostToFacebookBlock
+    "9e8f844e-b4a5-4b25-80f2-9e1dd7d67625",  # PostToXBlock
+    "589af4e4-507f-42fd-b9ac-a67ecef25811",  # PostToLinkedInBlock
+    "89b02b96-a7cb-46f4-9900-c48b32fe1552",  # PostToInstagramBlock
+    "0082d712-ff1b-4c3d-8a8d-6c7721883b83",  # PostToYouTubeBlock
+    "c7733580-3c72-483e-8e47-a8d58754d853",  # PostToRedditBlock
+    "47bc74eb-4af2-452c-b933-af377c7287df",  # PostToTelegramBlock
+    "2c38c783-c484-4503-9280-ef5d1d345a7e",  # PostToGMBBlock
+    "3ca46e05-dbaa-4afb-9e95-5a429c4177e6",  # PostToPinterestBlock
+    "7faf4b27-96b0-4f05-bf64-e0de54ae74e1",  # PostToTikTokBlock
+    "f8c3b2e1-9d4a-4e5f-8c7b-6a9e8d2f1c3b",  # PostToThreadsBlock
+    "a9d7f854-2c83-4e96-b3a1-7f2e9c5d4b8e",  # PostToSnapchatBlock
+]
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/_util.py b/autogpt_platform/backend/backend/blocks/ayrshare/_util.py
new file mode 100644
index 000000000000..a647e933df58
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/_util.py
@@ -0,0 +1,152 @@
+from datetime import datetime
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+from backend.data.block import BlockSchema
+from backend.data.model import SchemaField, UserIntegrations
+from backend.integrations.ayrshare import AyrshareClient
+from backend.util.clients import get_database_manager_async_client
+from backend.util.exceptions import MissingConfigError
+
+
+async def get_profile_key(user_id: str):
+    user_integrations: UserIntegrations = (
+        await get_database_manager_async_client().get_user_integrations(user_id)
+    )
+    return user_integrations.managed_credentials.ayrshare_profile_key
+
+
+class BaseAyrshareInput(BlockSchema):
+    """Base input model for Ayrshare social media posts with common fields."""
+
+    post: str = SchemaField(
+        description="The post text to be published", default="", advanced=False
+    )
+    media_urls: list[str] = SchemaField(
+        description="Optional list of media URLs to include. Set is_video in advanced settings to true if you want to upload videos.",
+        default_factory=list,
+        advanced=False,
+    )
+    is_video: bool = SchemaField(
+        description="Whether the media is a video", default=False, advanced=True
+    )
+    schedule_date: Optional[datetime] = SchemaField(
+        description="UTC datetime for scheduling (YYYY-MM-DDThh:mm:ssZ)",
+        default=None,
+        advanced=True,
+    )
+    disable_comments: bool = SchemaField(
+        description="Whether to disable comments", default=False, advanced=True
+    )
+    shorten_links: bool = SchemaField(
+        description="Whether to shorten links", default=False, advanced=True
+    )
+    unsplash: Optional[str] = SchemaField(
+        description="Unsplash image configuration", default=None, advanced=True
+    )
+    requires_approval: bool = SchemaField(
+        description="Whether to enable approval workflow",
+        default=False,
+        advanced=True,
+    )
+    random_post: bool = SchemaField(
+        description="Whether to generate random post text",
+        default=False,
+        advanced=True,
+    )
+    random_media_url: bool = SchemaField(
+        description="Whether to generate random media", default=False, advanced=True
+    )
+    notes: Optional[str] = SchemaField(
+        description="Additional notes for the post", default=None, advanced=True
+    )
+
+
+class CarouselItem(BaseModel):
+    """Model for Facebook carousel items."""
+
+    name: str = Field(..., description="The name of the item")
+    link: str = Field(..., description="The link of the item")
+    picture: str = Field(..., description="The picture URL of the item")
+
+
+class CallToAction(BaseModel):
+    """Model for Google My Business Call to Action."""
+
+    action_type: str = Field(
+        ..., description="Type of action (book, order, shop, learn_more, sign_up, call)"
+    )
+    url: Optional[str] = Field(
+        description="URL for the action (not required for 'call' action)"
+    )
+
+
+class EventDetails(BaseModel):
+    """Model for Google My Business Event details."""
+
+    title: str = Field(..., description="Event title")
+    start_date: str = Field(..., description="Event start date (ISO format)")
+    end_date: str = Field(..., description="Event end date (ISO format)")
+
+
+class OfferDetails(BaseModel):
+    """Model for Google My Business Offer details."""
+
+    title: str = Field(..., description="Offer title")
+    start_date: str = Field(..., description="Offer start date (ISO format)")
+    end_date: str = Field(..., description="Offer end date (ISO format)")
+    coupon_code: str = Field(..., description="Coupon code (max 58 characters)")
+    redeem_online_url: str = Field(..., description="URL to redeem the offer")
+    terms_conditions: str = Field(..., description="Terms and conditions")
+
+
+class InstagramUserTag(BaseModel):
+    """Model for Instagram user tags."""
+
+    username: str = Field(..., description="Instagram username (without @)")
+    x: Optional[float] = Field(description="X coordinate (0.0-1.0) for image posts")
+    y: Optional[float] = Field(description="Y coordinate (0.0-1.0) for image posts")
+
+
+class LinkedInTargeting(BaseModel):
+    """Model for LinkedIn audience targeting."""
+
+    countries: Optional[list[str]] = Field(
+        description="Country codes (e.g., ['US', 'IN', 'DE', 'GB'])"
+    )
+    seniorities: Optional[list[str]] = Field(
+        description="Seniority levels (e.g., ['Senior', 'VP'])"
+    )
+    degrees: Optional[list[str]] = Field(description="Education degrees")
+    fields_of_study: Optional[list[str]] = Field(description="Fields of study")
+    industries: Optional[list[str]] = Field(description="Industry categories")
+    job_functions: Optional[list[str]] = Field(description="Job function categories")
+    staff_count_ranges: Optional[list[str]] = Field(description="Company size ranges")
+
+
+class PinterestCarouselOption(BaseModel):
+    """Model for Pinterest carousel image options."""
+
+    title: Optional[str] = Field(description="Image title")
+    link: Optional[str] = Field(description="External destination link for the image")
+    description: Optional[str] = Field(description="Image description")
+
+
+class YouTubeTargeting(BaseModel):
+    """Model for YouTube country targeting."""
+
+    block: Optional[list[str]] = Field(
+        description="Country codes to block (e.g., ['US', 'CA'])"
+    )
+    allow: Optional[list[str]] = Field(
+        description="Country codes to allow (e.g., ['GB', 'AU'])"
+    )
+
+
+def create_ayrshare_client():
+    """Create an Ayrshare client instance."""
+    try:
+        return AyrshareClient()
+    except MissingConfigError:
+        return None
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_bluesky.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_bluesky.py
new file mode 100644
index 000000000000..0d6eeed0a1ac
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_bluesky.py
@@ -0,0 +1,114 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToBlueskyBlock(Block):
+    """Block for posting to Bluesky with Bluesky-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Bluesky posts."""
+
+        # Override post field to include character limit information
+        post: str = SchemaField(
+            description="The post text to be published (max 300 characters for Bluesky)",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include Bluesky-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs to include. Bluesky supports up to 4 images or 1 video.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # Bluesky-specific options
+        alt_text: list[str] = SchemaField(
+            description="Alt text for each media item (accessibility)",
+            default_factory=list,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="cbd52c2a-06d2-43ed-9560-6576cc163283",
+            description="Post to Bluesky using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToBlueskyBlock.Input,
+            output_schema=PostToBlueskyBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToBlueskyBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Bluesky with Bluesky-specific options."""
+
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate character limit for Bluesky
+        if len(input_data.post) > 300:
+            yield "error", f"Post text exceeds Bluesky's 300 character limit ({len(input_data.post)} characters)"
+            return
+
+        # Validate media constraints for Bluesky
+        if len(input_data.media_urls) > 4:
+            yield "error", "Bluesky supports a maximum of 4 images or 1 video"
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build Bluesky-specific options
+        bluesky_options = {}
+        if input_data.alt_text:
+            bluesky_options["altText"] = input_data.alt_text
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.BLUESKY],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            bluesky_options=bluesky_options if bluesky_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_facebook.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_facebook.py
new file mode 100644
index 000000000000..dccc443ef90c
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_facebook.py
@@ -0,0 +1,212 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import (
+    BaseAyrshareInput,
+    CarouselItem,
+    create_ayrshare_client,
+    get_profile_key,
+)
+
+
+class PostToFacebookBlock(Block):
+    """Block for posting to Facebook with Facebook-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Facebook posts."""
+
+        # Facebook-specific options
+        is_carousel: bool = SchemaField(
+            description="Whether to post a carousel", default=False, advanced=True
+        )
+        carousel_link: str = SchemaField(
+            description="The URL for the 'See More At' button in the carousel",
+            default="",
+            advanced=True,
+        )
+        carousel_items: list[CarouselItem] = SchemaField(
+            description="List of carousel items with name, link and picture URLs. Min 2, max 10 items.",
+            default_factory=list,
+            advanced=True,
+        )
+        is_reels: bool = SchemaField(
+            description="Whether to post to Facebook Reels",
+            default=False,
+            advanced=True,
+        )
+        reels_title: str = SchemaField(
+            description="Title for the Reels video (max 255 chars)",
+            default="",
+            advanced=True,
+        )
+        reels_thumbnail: str = SchemaField(
+            description="Thumbnail URL for Reels video (JPEG/PNG, <10MB)",
+            default="",
+            advanced=True,
+        )
+        is_story: bool = SchemaField(
+            description="Whether to post as a Facebook Story",
+            default=False,
+            advanced=True,
+        )
+        media_captions: list[str] = SchemaField(
+            description="Captions for each media item",
+            default_factory=list,
+            advanced=True,
+        )
+        location_id: str = SchemaField(
+            description="Facebook Page ID or name for location tagging",
+            default="",
+            advanced=True,
+        )
+        age_min: int = SchemaField(
+            description="Minimum age for audience targeting (13,15,18,21,25)",
+            default=0,
+            advanced=True,
+        )
+        target_countries: list[str] = SchemaField(
+            description="List of country codes to target (max 25)",
+            default_factory=list,
+            advanced=True,
+        )
+        alt_text: list[str] = SchemaField(
+            description="Alt text for each media item",
+            default_factory=list,
+            advanced=True,
+        )
+        video_title: str = SchemaField(
+            description="Title for video post", default="", advanced=True
+        )
+        video_thumbnail: str = SchemaField(
+            description="Thumbnail URL for video post", default="", advanced=True
+        )
+        is_draft: bool = SchemaField(
+            description="Save as draft in Meta Business Suite",
+            default=False,
+            advanced=True,
+        )
+        scheduled_publish_date: str = SchemaField(
+            description="Schedule publish time in Meta Business Suite (UTC)",
+            default="",
+            advanced=True,
+        )
+        preview_link: str = SchemaField(
+            description="URL for custom link preview", default="", advanced=True
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="3352f512-3524-49ed-a08f-003042da2fc1",
+            description="Post to Facebook using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToFacebookBlock.Input,
+            output_schema=PostToFacebookBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToFacebookBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Facebook with Facebook-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build Facebook-specific options
+        facebook_options = {}
+        if input_data.is_carousel:
+            facebook_options["isCarousel"] = True
+            if input_data.carousel_link:
+                facebook_options["carouselLink"] = input_data.carousel_link
+            if input_data.carousel_items:
+                facebook_options["carouselItems"] = [
+                    item.dict() for item in input_data.carousel_items
+                ]
+
+        if input_data.is_reels:
+            facebook_options["isReels"] = True
+            if input_data.reels_title:
+                facebook_options["reelsTitle"] = input_data.reels_title
+            if input_data.reels_thumbnail:
+                facebook_options["reelsThumbnail"] = input_data.reels_thumbnail
+
+        if input_data.is_story:
+            facebook_options["isStory"] = True
+
+        if input_data.media_captions:
+            facebook_options["mediaCaptions"] = input_data.media_captions
+
+        if input_data.location_id:
+            facebook_options["locationId"] = input_data.location_id
+
+        if input_data.age_min > 0:
+            facebook_options["ageMin"] = input_data.age_min
+
+        if input_data.target_countries:
+            facebook_options["targetCountries"] = input_data.target_countries
+
+        if input_data.alt_text:
+            facebook_options["altText"] = input_data.alt_text
+
+        if input_data.video_title:
+            facebook_options["videoTitle"] = input_data.video_title
+
+        if input_data.video_thumbnail:
+            facebook_options["videoThumbnail"] = input_data.video_thumbnail
+
+        if input_data.is_draft:
+            facebook_options["isDraft"] = True
+
+        if input_data.scheduled_publish_date:
+            facebook_options["scheduledPublishDate"] = input_data.scheduled_publish_date
+
+        if input_data.preview_link:
+            facebook_options["previewLink"] = input_data.preview_link
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.FACEBOOK],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            facebook_options=facebook_options if facebook_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_gmb.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_gmb.py
new file mode 100644
index 000000000000..5c510cccb317
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_gmb.py
@@ -0,0 +1,210 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToGMBBlock(Block):
+    """Block for posting to Google My Business with GMB-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Google My Business posts."""
+
+        # Override media_urls to include GMB-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs. GMB supports only one image or video per post.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # GMB-specific options
+        is_photo_video: bool = SchemaField(
+            description="Whether this is a photo/video post (appears in Photos section)",
+            default=False,
+            advanced=True,
+        )
+        photo_category: str = SchemaField(
+            description="Category for photo/video: cover, profile, logo, exterior, interior, product, at_work, food_and_drink, menu, common_area, rooms, teams",
+            default="",
+            advanced=True,
+        )
+        # Call to action options (flattened from CallToAction object)
+        call_to_action_type: str = SchemaField(
+            description="Type of action button: 'book', 'order', 'shop', 'learn_more', 'sign_up', or 'call'",
+            default="",
+            advanced=True,
+        )
+        call_to_action_url: str = SchemaField(
+            description="URL for the action button (not required for 'call' action)",
+            default="",
+            advanced=True,
+        )
+        # Event details options (flattened from EventDetails object)
+        event_title: str = SchemaField(
+            description="Event title for event posts",
+            default="",
+            advanced=True,
+        )
+        event_start_date: str = SchemaField(
+            description="Event start date in ISO format (e.g., '2024-03-15T09:00:00Z')",
+            default="",
+            advanced=True,
+        )
+        event_end_date: str = SchemaField(
+            description="Event end date in ISO format (e.g., '2024-03-15T17:00:00Z')",
+            default="",
+            advanced=True,
+        )
+        # Offer details options (flattened from OfferDetails object)
+        offer_title: str = SchemaField(
+            description="Offer title for promotional posts",
+            default="",
+            advanced=True,
+        )
+        offer_start_date: str = SchemaField(
+            description="Offer start date in ISO format (e.g., '2024-03-15T00:00:00Z')",
+            default="",
+            advanced=True,
+        )
+        offer_end_date: str = SchemaField(
+            description="Offer end date in ISO format (e.g., '2024-04-15T23:59:59Z')",
+            default="",
+            advanced=True,
+        )
+        offer_coupon_code: str = SchemaField(
+            description="Coupon code for the offer (max 58 characters)",
+            default="",
+            advanced=True,
+        )
+        offer_redeem_online_url: str = SchemaField(
+            description="URL where customers can redeem the offer online",
+            default="",
+            advanced=True,
+        )
+        offer_terms_conditions: str = SchemaField(
+            description="Terms and conditions for the offer",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="2c38c783-c484-4503-9280-ef5d1d345a7e",
+            description="Post to Google My Business using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToGMBBlock.Input,
+            output_schema=PostToGMBBlock.Output,
+        )
+
+    async def run(
+        self, input_data: "PostToGMBBlock.Input", *, user_id: str, **kwargs
+    ) -> BlockOutput:
+        """Post to Google My Business with GMB-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate GMB constraints
+        if len(input_data.media_urls) > 1:
+            yield "error", "Google My Business supports only one image or video per post"
+            return
+
+        # Validate offer coupon code length
+        if input_data.offer_coupon_code and len(input_data.offer_coupon_code) > 58:
+            yield "error", "GMB offer coupon code cannot exceed 58 characters"
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build GMB-specific options
+        gmb_options = {}
+
+        # Photo/Video post options
+        if input_data.is_photo_video:
+            gmb_options["isPhotoVideo"] = True
+            if input_data.photo_category:
+                gmb_options["category"] = input_data.photo_category
+
+        # Call to Action (from flattened fields)
+        if input_data.call_to_action_type:
+            cta_dict = {"actionType": input_data.call_to_action_type}
+            # URL not required for 'call' action type
+            if (
+                input_data.call_to_action_type != "call"
+                and input_data.call_to_action_url
+            ):
+                cta_dict["url"] = input_data.call_to_action_url
+            gmb_options["callToAction"] = cta_dict
+
+        # Event details (from flattened fields)
+        if (
+            input_data.event_title
+            and input_data.event_start_date
+            and input_data.event_end_date
+        ):
+            gmb_options["event"] = {
+                "title": input_data.event_title,
+                "startDate": input_data.event_start_date,
+                "endDate": input_data.event_end_date,
+            }
+
+        # Offer details (from flattened fields)
+        if (
+            input_data.offer_title
+            and input_data.offer_start_date
+            and input_data.offer_end_date
+            and input_data.offer_coupon_code
+            and input_data.offer_redeem_online_url
+            and input_data.offer_terms_conditions
+        ):
+            gmb_options["offer"] = {
+                "title": input_data.offer_title,
+                "startDate": input_data.offer_start_date,
+                "endDate": input_data.offer_end_date,
+                "couponCode": input_data.offer_coupon_code,
+                "redeemOnlineUrl": input_data.offer_redeem_online_url,
+                "termsConditions": input_data.offer_terms_conditions,
+            }
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.GOOGLE_MY_BUSINESS],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            gmb_options=gmb_options if gmb_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_instagram.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_instagram.py
new file mode 100644
index 000000000000..1fc7c77df019
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_instagram.py
@@ -0,0 +1,249 @@
+from typing import Any
+
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import (
+    BaseAyrshareInput,
+    InstagramUserTag,
+    create_ayrshare_client,
+    get_profile_key,
+)
+
+
+class PostToInstagramBlock(Block):
+    """Block for posting to Instagram with Instagram-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Instagram posts."""
+
+        # Override post field to include Instagram-specific information
+        post: str = SchemaField(
+            description="The post text (max 2,200 chars, up to 30 hashtags, 3 @mentions)",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include Instagram-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs. Instagram supports up to 10 images/videos in a carousel.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # Instagram-specific options
+        is_story: bool | None = SchemaField(
+            description="Whether to post as Instagram Story (24-hour expiration)",
+            default=None,
+            advanced=True,
+        )
+
+        # ------- REELS OPTIONS -------
+        share_reels_feed: bool | None = SchemaField(
+            description="Whether Reel should appear in both Feed and Reels tabs",
+            default=None,
+            advanced=True,
+        )
+        audio_name: str | None = SchemaField(
+            description="Audio name for Reels (e.g., 'The Weeknd - Blinding Lights')",
+            default=None,
+            advanced=True,
+        )
+        thumbnail: str | None = SchemaField(
+            description="Thumbnail URL for Reel video", default=None, advanced=True
+        )
+        thumbnail_offset: int | None = SchemaField(
+            description="Thumbnail frame offset in milliseconds (default: 0)",
+            default=0,
+            advanced=True,
+        )
+
+        # ------- POST OPTIONS -------
+
+        alt_text: list[str] = SchemaField(
+            description="Alt text for each media item (up to 1,000 chars each, accessibility feature), each item in the list corresponds to a media item in the media_urls list",
+            default_factory=list,
+            advanced=True,
+        )
+
+        location_id: str | None = SchemaField(
+            description="Facebook Page ID or name for location tagging (e.g., '7640348500' or '@guggenheimmuseum')",
+            default=None,
+            advanced=True,
+        )
+        user_tags: list[dict[str, Any]] = SchemaField(
+            description="List of users to tag with coordinates for images",
+            default_factory=list,
+            advanced=True,
+        )
+        collaborators: list[str] = SchemaField(
+            description="Instagram usernames to invite as collaborators (max 3, public accounts only)",
+            default_factory=list,
+            advanced=True,
+        )
+        auto_resize: bool | None = SchemaField(
+            description="Auto-resize images to 1080x1080px for Instagram",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            id="89b02b96-a7cb-46f4-9900-c48b32fe1552",
+            description="Post to Instagram using Ayrshare. Requires a Business or Creator Instagram Account connected with a Facebook Page",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToInstagramBlock.Input,
+            output_schema=PostToInstagramBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToInstagramBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Instagram with Instagram-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate Instagram constraints
+        if len(input_data.post) > 2200:
+            yield "error", f"Instagram post text exceeds 2,200 character limit ({len(input_data.post)} characters)"
+            return
+
+        if len(input_data.media_urls) > 10:
+            yield "error", "Instagram supports a maximum of 10 images/videos in a carousel"
+            return
+
+        if len(input_data.collaborators) > 3:
+            yield "error", "Instagram supports a maximum of 3 collaborators"
+            return
+
+        # Validate that if any reel option is set, all required reel options are set
+        reel_options = [
+            input_data.share_reels_feed,
+            input_data.audio_name,
+            input_data.thumbnail,
+        ]
+
+        if any(reel_options) and not all(reel_options):
+            yield "error", "When posting a reel, all reel options must be set: share_reels_feed, audio_name, and either thumbnail or thumbnail_offset"
+            return
+
+        # Count hashtags and mentions
+        hashtag_count = input_data.post.count("#")
+        mention_count = input_data.post.count("@")
+
+        if hashtag_count > 30:
+            yield "error", f"Instagram allows maximum 30 hashtags ({hashtag_count} found)"
+            return
+
+        if mention_count > 3:
+            yield "error", f"Instagram allows maximum 3 @mentions ({mention_count} found)"
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build Instagram-specific options
+        instagram_options = {}
+
+        # Stories
+        if input_data.is_story:
+            instagram_options["stories"] = True
+
+        # Reels options
+        if input_data.share_reels_feed is not None:
+            instagram_options["shareReelsFeed"] = input_data.share_reels_feed
+
+        if input_data.audio_name:
+            instagram_options["audioName"] = input_data.audio_name
+
+        if input_data.thumbnail:
+            instagram_options["thumbNail"] = input_data.thumbnail
+        elif input_data.thumbnail_offset and input_data.thumbnail_offset > 0:
+            instagram_options["thumbNailOffset"] = input_data.thumbnail_offset
+
+        # Alt text
+        if input_data.alt_text:
+            # Validate alt text length
+            for i, alt in enumerate(input_data.alt_text):
+                if len(alt) > 1000:
+                    yield "error", f"Alt text {i+1} exceeds 1,000 character limit ({len(alt)} characters)"
+                    return
+            instagram_options["altText"] = input_data.alt_text
+
+        # Location
+        if input_data.location_id:
+            instagram_options["locationId"] = input_data.location_id
+
+        # User tags
+        if input_data.user_tags:
+            user_tags_list = []
+            for tag in input_data.user_tags:
+                try:
+                    tag_obj = InstagramUserTag(**tag)
+                except Exception as e:
+                    yield "error", f"Invalid user tag: {e}, tages need to be a dictionary with a 3 items: username (str), x (float) and y (float)"
+                    return
+                tag_dict: dict[str, float | str] = {"username": tag_obj.username}
+                if tag_obj.x is not None and tag_obj.y is not None:
+                    # Validate coordinates
+                    if not (0.0 <= tag_obj.x <= 1.0) or not (0.0 <= tag_obj.y <= 1.0):
+                        yield "error", f"User tag coordinates must be between 0.0 and 1.0 (user: {tag_obj.username})"
+                        return
+                    tag_dict["x"] = tag_obj.x
+                    tag_dict["y"] = tag_obj.y
+                user_tags_list.append(tag_dict)
+            instagram_options["userTags"] = user_tags_list
+
+        # Collaborators
+        if input_data.collaborators:
+            instagram_options["collaborators"] = input_data.collaborators
+
+        # Auto resize
+        if input_data.auto_resize:
+            instagram_options["autoResize"] = True
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.INSTAGRAM],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            instagram_options=instagram_options if instagram_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_linkedin.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_linkedin.py
new file mode 100644
index 000000000000..7fad89e838bc
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_linkedin.py
@@ -0,0 +1,222 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToLinkedInBlock(Block):
+    """Block for posting to LinkedIn with LinkedIn-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for LinkedIn posts."""
+
+        # Override post field to include LinkedIn-specific information
+        post: str = SchemaField(
+            description="The post text (max 3,000 chars, hashtags supported with #)",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include LinkedIn-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs. LinkedIn supports up to 9 images, videos, or documents (PPT, PPTX, DOC, DOCX, PDF <100MB, <300 pages).",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # LinkedIn-specific options
+        visibility: str = SchemaField(
+            description="Post visibility: 'public' (default), 'connections' (personal only), 'loggedin'",
+            default="public",
+            advanced=True,
+        )
+        alt_text: list[str] = SchemaField(
+            description="Alt text for each image (accessibility feature, not supported for videos/documents)",
+            default_factory=list,
+            advanced=True,
+        )
+        titles: list[str] = SchemaField(
+            description="Title/caption for each image or video",
+            default_factory=list,
+            advanced=True,
+        )
+        document_title: str = SchemaField(
+            description="Title for document posts (max 400 chars, uses filename if not specified)",
+            default="",
+            advanced=True,
+        )
+        thumbnail: str = SchemaField(
+            description="Thumbnail URL for video (PNG/JPG, same dimensions as video, <10MB)",
+            default="",
+            advanced=True,
+        )
+        # LinkedIn targeting options (flattened from LinkedInTargeting object)
+        targeting_countries: list[str] | None = SchemaField(
+            description="Country codes for targeting (e.g., ['US', 'IN', 'DE', 'GB']). Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+        targeting_seniorities: list[str] | None = SchemaField(
+            description="Seniority levels for targeting (e.g., ['Senior', 'VP']). Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+        targeting_degrees: list[str] | None = SchemaField(
+            description="Education degrees for targeting. Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+        targeting_fields_of_study: list[str] | None = SchemaField(
+            description="Fields of study for targeting. Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+        targeting_industries: list[str] | None = SchemaField(
+            description="Industry categories for targeting. Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+        targeting_job_functions: list[str] | None = SchemaField(
+            description="Job function categories for targeting. Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+        targeting_staff_count_ranges: list[str] | None = SchemaField(
+            description="Company size ranges for targeting. Requires 300+ followers in target audience.",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            id="589af4e4-507f-42fd-b9ac-a67ecef25811",
+            description="Post to LinkedIn using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToLinkedInBlock.Input,
+            output_schema=PostToLinkedInBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToLinkedInBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to LinkedIn with LinkedIn-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate LinkedIn constraints
+        if len(input_data.post) > 3000:
+            yield "error", f"LinkedIn post text exceeds 3,000 character limit ({len(input_data.post)} characters)"
+            return
+
+        if len(input_data.media_urls) > 9:
+            yield "error", "LinkedIn supports a maximum of 9 images/videos/documents"
+            return
+
+        if input_data.document_title and len(input_data.document_title) > 400:
+            yield "error", f"LinkedIn document title exceeds 400 character limit ({len(input_data.document_title)} characters)"
+            return
+
+        # Validate visibility option
+        valid_visibility = ["public", "connections", "loggedin"]
+        if input_data.visibility not in valid_visibility:
+            yield "error", f"LinkedIn visibility must be one of: {', '.join(valid_visibility)}"
+            return
+
+        # Check for document extensions
+        document_extensions = [".ppt", ".pptx", ".doc", ".docx", ".pdf"]
+        has_documents = any(
+            any(url.lower().endswith(ext) for ext in document_extensions)
+            for url in input_data.media_urls
+        )
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build LinkedIn-specific options
+        linkedin_options = {}
+
+        # Visibility
+        if input_data.visibility != "public":
+            linkedin_options["visibility"] = input_data.visibility
+
+        # Alt text (not supported for videos or documents)
+        if input_data.alt_text and not has_documents:
+            linkedin_options["altText"] = input_data.alt_text
+
+        # Titles/captions
+        if input_data.titles:
+            linkedin_options["titles"] = input_data.titles
+
+        # Document title
+        if input_data.document_title and has_documents:
+            linkedin_options["title"] = input_data.document_title
+
+        # Video thumbnail
+        if input_data.thumbnail:
+            linkedin_options["thumbNail"] = input_data.thumbnail
+
+        # Audience targeting (from flattened fields)
+        targeting_dict = {}
+        if input_data.targeting_countries:
+            targeting_dict["countries"] = input_data.targeting_countries
+        if input_data.targeting_seniorities:
+            targeting_dict["seniorities"] = input_data.targeting_seniorities
+        if input_data.targeting_degrees:
+            targeting_dict["degrees"] = input_data.targeting_degrees
+        if input_data.targeting_fields_of_study:
+            targeting_dict["fieldsOfStudy"] = input_data.targeting_fields_of_study
+        if input_data.targeting_industries:
+            targeting_dict["industries"] = input_data.targeting_industries
+        if input_data.targeting_job_functions:
+            targeting_dict["jobFunctions"] = input_data.targeting_job_functions
+        if input_data.targeting_staff_count_ranges:
+            targeting_dict["staffCountRanges"] = input_data.targeting_staff_count_ranges
+
+        if targeting_dict:
+            linkedin_options["targeting"] = targeting_dict
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.LINKEDIN],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            linkedin_options=linkedin_options if linkedin_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_pinterest.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_pinterest.py
new file mode 100644
index 000000000000..55bae8161890
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_pinterest.py
@@ -0,0 +1,214 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import (
+    BaseAyrshareInput,
+    PinterestCarouselOption,
+    create_ayrshare_client,
+    get_profile_key,
+)
+
+
+class PostToPinterestBlock(Block):
+    """Block for posting to Pinterest with Pinterest-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Pinterest posts."""
+
+        # Override post field to include Pinterest-specific information
+        post: str = SchemaField(
+            description="Pin description (max 500 chars, links not clickable - use link field instead)",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include Pinterest-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Required image/video URLs. Pinterest requires at least one image. Videos need thumbnail. Up to 5 images for carousel.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # Pinterest-specific options
+        pin_title: str = SchemaField(
+            description="Pin title displayed in 'Add your title' section (max 100 chars)",
+            default="",
+            advanced=True,
+        )
+        link: str = SchemaField(
+            description="Clickable destination URL when users click the pin (max 2048 chars)",
+            default="",
+            advanced=True,
+        )
+        board_id: str = SchemaField(
+            description="Pinterest Board ID to post to (from /user/details endpoint, uses default board if not specified)",
+            default="",
+            advanced=True,
+        )
+        note: str = SchemaField(
+            description="Private note for the pin (only visible to you and board collaborators)",
+            default="",
+            advanced=True,
+        )
+        thumbnail: str = SchemaField(
+            description="Required thumbnail URL for video pins (must have valid image Content-Type)",
+            default="",
+            advanced=True,
+        )
+        carousel_options: list[PinterestCarouselOption] = SchemaField(
+            description="Options for each image in carousel (title, link, description per image)",
+            default_factory=list,
+            advanced=True,
+        )
+        alt_text: list[str] = SchemaField(
+            description="Alt text for each image/video (max 500 chars each, accessibility feature)",
+            default_factory=list,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="3ca46e05-dbaa-4afb-9e95-5a429c4177e6",
+            description="Post to Pinterest using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToPinterestBlock.Input,
+            output_schema=PostToPinterestBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToPinterestBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Pinterest with Pinterest-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate Pinterest constraints
+        if len(input_data.post) > 500:
+            yield "error", f"Pinterest pin description exceeds 500 character limit ({len(input_data.post)} characters)"
+            return
+
+        if len(input_data.pin_title) > 100:
+            yield "error", f"Pinterest pin title exceeds 100 character limit ({len(input_data.pin_title)} characters)"
+            return
+
+        if len(input_data.link) > 2048:
+            yield "error", f"Pinterest link URL exceeds 2048 character limit ({len(input_data.link)} characters)"
+            return
+
+        if len(input_data.media_urls) == 0:
+            yield "error", "Pinterest requires at least one image or video"
+            return
+
+        if len(input_data.media_urls) > 5:
+            yield "error", "Pinterest supports a maximum of 5 images in a carousel"
+            return
+
+        # Check if video is included and thumbnail is provided
+        video_extensions = [".mp4", ".mov", ".avi", ".mkv", ".wmv", ".flv", ".webm"]
+        has_video = any(
+            any(url.lower().endswith(ext) for ext in video_extensions)
+            for url in input_data.media_urls
+        )
+
+        if (has_video or input_data.is_video) and not input_data.thumbnail:
+            yield "error", "Pinterest video pins require a thumbnail URL"
+            return
+
+        # Validate alt text length
+        for i, alt in enumerate(input_data.alt_text):
+            if len(alt) > 500:
+                yield "error", f"Pinterest alt text {i+1} exceeds 500 character limit ({len(alt)} characters)"
+                return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build Pinterest-specific options
+        pinterest_options = {}
+
+        # Pin title
+        if input_data.pin_title:
+            pinterest_options["title"] = input_data.pin_title
+
+        # Clickable link
+        if input_data.link:
+            pinterest_options["link"] = input_data.link
+
+        # Board ID
+        if input_data.board_id:
+            pinterest_options["boardId"] = input_data.board_id
+
+        # Private note
+        if input_data.note:
+            pinterest_options["note"] = input_data.note
+
+        # Video thumbnail
+        if input_data.thumbnail:
+            pinterest_options["thumbNail"] = input_data.thumbnail
+
+        # Carousel options
+        if input_data.carousel_options:
+            carousel_list = []
+            for option in input_data.carousel_options:
+                carousel_dict = {}
+                if option.title:
+                    carousel_dict["title"] = option.title
+                if option.link:
+                    carousel_dict["link"] = option.link
+                if option.description:
+                    carousel_dict["description"] = option.description
+                if carousel_dict:  # Only add if not empty
+                    carousel_list.append(carousel_dict)
+            if carousel_list:
+                pinterest_options["carouselOptions"] = carousel_list
+
+        # Alt text
+        if input_data.alt_text:
+            pinterest_options["altText"] = input_data.alt_text
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.PINTEREST],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            pinterest_options=pinterest_options if pinterest_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_reddit.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_reddit.py
new file mode 100644
index 000000000000..c193f94d2ede
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_reddit.py
@@ -0,0 +1,69 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToRedditBlock(Block):
+    """Block for posting to Reddit."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Reddit posts."""
+
+        pass  # Uses all base fields
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="c7733580-3c72-483e-8e47-a8d58754d853",
+            description="Post to Reddit using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToRedditBlock.Input,
+            output_schema=PostToRedditBlock.Output,
+        )
+
+    async def run(
+        self, input_data: "PostToRedditBlock.Input", *, user_id: str, **kwargs
+    ) -> BlockOutput:
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured."
+            return
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.REDDIT],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_snapchat.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_snapchat.py
new file mode 100644
index 000000000000..8de728e56917
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_snapchat.py
@@ -0,0 +1,129 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToSnapchatBlock(Block):
+    """Block for posting to Snapchat with Snapchat-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Snapchat posts."""
+
+        # Override post field to include Snapchat-specific information
+        post: str = SchemaField(
+            description="The post text (optional for video-only content)",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include Snapchat-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Required video URL for Snapchat posts. Snapchat only supports video content.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # Snapchat-specific options
+        story_type: str = SchemaField(
+            description="Type of Snapchat content: 'story' (24-hour Stories), 'saved_story' (Saved Stories), or 'spotlight' (Spotlight posts)",
+            default="story",
+            advanced=True,
+        )
+        video_thumbnail: str = SchemaField(
+            description="Thumbnail URL for video content (optional, auto-generated if not provided)",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="a9d7f854-2c83-4e96-b3a1-7f2e9c5d4b8e",
+            description="Post to Snapchat using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToSnapchatBlock.Input,
+            output_schema=PostToSnapchatBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToSnapchatBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Snapchat with Snapchat-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate Snapchat constraints
+        if not input_data.media_urls:
+            yield "error", "Snapchat requires at least one video URL"
+            return
+
+        if len(input_data.media_urls) > 1:
+            yield "error", "Snapchat supports only one video per post"
+            return
+
+        # Validate story type
+        valid_story_types = ["story", "saved_story", "spotlight"]
+        if input_data.story_type not in valid_story_types:
+            yield "error", f"Snapchat story type must be one of: {', '.join(valid_story_types)}"
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build Snapchat-specific options
+        snapchat_options = {}
+
+        # Story type
+        if input_data.story_type != "story":
+            snapchat_options["storyType"] = input_data.story_type
+
+        # Video thumbnail
+        if input_data.video_thumbnail:
+            snapchat_options["videoThumbnail"] = input_data.video_thumbnail
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.SNAPCHAT],
+            media_urls=input_data.media_urls,
+            is_video=True,  # Snapchat only supports video
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            snapchat_options=snapchat_options if snapchat_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_telegram.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_telegram.py
new file mode 100644
index 000000000000..a18d9a6cb11b
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_telegram.py
@@ -0,0 +1,116 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToTelegramBlock(Block):
+    """Block for posting to Telegram with Telegram-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Telegram posts."""
+
+        # Override post field to include Telegram-specific information
+        post: str = SchemaField(
+            description="The post text (empty string allowed). Use @handle to mention other Telegram users.",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include Telegram-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs. For animated GIFs, only one URL is allowed. Telegram will auto-preview links unless image/video is included.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # Override is_video to include GIF-specific information
+        is_video: bool = SchemaField(
+            description="Whether the media is a video. Set to true for animated GIFs that don't end in .gif/.GIF extension.",
+            default=False,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="47bc74eb-4af2-452c-b933-af377c7287df",
+            description="Post to Telegram using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToTelegramBlock.Input,
+            output_schema=PostToTelegramBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToTelegramBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Telegram with Telegram-specific validation."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate Telegram constraints
+        # Check for animated GIFs - only one URL allowed
+        gif_extensions = [".gif", ".GIF"]
+        has_gif = any(
+            any(url.endswith(ext) for ext in gif_extensions)
+            for url in input_data.media_urls
+        )
+
+        if has_gif and len(input_data.media_urls) > 1:
+            yield "error", "Telegram animated GIFs support only one URL per post"
+            return
+
+        # Auto-detect if we need to set is_video for GIFs without proper extension
+        detected_is_video = input_data.is_video
+        if input_data.media_urls and not has_gif and not input_data.is_video:
+            # Check if this might be a GIF without proper extension
+            # This is just informational - user needs to set is_video manually
+            pass
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.TELEGRAM],
+            media_urls=input_data.media_urls,
+            is_video=detected_is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_threads.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_threads.py
new file mode 100644
index 000000000000..6fdf06f1a58e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_threads.py
@@ -0,0 +1,111 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToThreadsBlock(Block):
+    """Block for posting to Threads with Threads-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for Threads posts."""
+
+        # Override post field to include Threads-specific information
+        post: str = SchemaField(
+            description="The post text (max 500 chars, empty string allowed). Only 1 hashtag allowed. Use @handle to mention users.",
+            default="",
+            advanced=False,
+        )
+
+        # Override media_urls to include Threads-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs. Supports up to 20 images/videos in a carousel. Auto-preview links unless media is included.",
+            default_factory=list,
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="f8c3b2e1-9d4a-4e5f-8c7b-6a9e8d2f1c3b",
+            description="Post to Threads using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToThreadsBlock.Input,
+            output_schema=PostToThreadsBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToThreadsBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to Threads with Threads-specific validation."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate Threads constraints
+        if len(input_data.post) > 500:
+            yield "error", f"Threads post text exceeds 500 character limit ({len(input_data.post)} characters)"
+            return
+
+        if len(input_data.media_urls) > 20:
+            yield "error", "Threads supports a maximum of 20 images/videos in a carousel"
+            return
+
+        # Count hashtags (only 1 allowed)
+        hashtag_count = input_data.post.count("#")
+        if hashtag_count > 1:
+            yield "error", f"Threads allows only 1 hashtag per post ({hashtag_count} found)"
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build Threads-specific options
+        threads_options = {}
+        # Note: Based on the documentation, Threads doesn't seem to have specific options
+        # beyond the standard ones. The main constraints are validation-based.
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.THREADS],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            threads_options=threads_options if threads_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_tiktok.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_tiktok.py
new file mode 100644
index 000000000000..581e65b74ee5
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_tiktok.py
@@ -0,0 +1,243 @@
+from enum import Enum
+
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class TikTokVisibility(str, Enum):
+    PUBLIC = "public"
+    PRIVATE = "private"
+    FOLLOWERS = "followers"
+
+
+class PostToTikTokBlock(Block):
+    """Block for posting to TikTok with TikTok-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for TikTok posts."""
+
+        # Override post field to include TikTok-specific information
+        post: str = SchemaField(
+            description="The post text (max 2,200 chars, empty string allowed). Use @handle to mention users. Line breaks will be ignored.",
+            advanced=False,
+        )
+
+        # Override media_urls to include TikTok-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Required media URLs. Either 1 video OR up to 35 images (JPG/JPEG/WEBP only). Cannot mix video and images.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # TikTok-specific options
+        auto_add_music: bool = SchemaField(
+            description="Whether to automatically add recommended music to the post. If you set this field to true, you can change the music later in the TikTok app.",
+            default=False,
+            advanced=True,
+        )
+        disable_comments: bool = SchemaField(
+            description="Disable comments on the published post",
+            default=False,
+            advanced=True,
+        )
+        disable_duet: bool = SchemaField(
+            description="Disable duets on published video (video only)",
+            default=False,
+            advanced=True,
+        )
+        disable_stitch: bool = SchemaField(
+            description="Disable stitch on published video (video only)",
+            default=False,
+            advanced=True,
+        )
+        is_ai_generated: bool = SchemaField(
+            description="If you enable the toggle, your video will be labeled as “Creator labeled as AI-generated” once posted and can’t be changed. The “Creator labeled as AI-generated” label indicates that the content was completely AI-generated or significantly edited with AI.",
+            default=False,
+            advanced=True,
+        )
+        is_branded_content: bool = SchemaField(
+            description="Whether to enable the Branded Content toggle. If this field is set to true, the video will be labeled as Branded Content, indicating you are in a paid partnership with a brand. A “Paid partnership” label will be attached to the video.",
+            default=False,
+            advanced=True,
+        )
+        is_brand_organic: bool = SchemaField(
+            description="Whether to enable the Brand Organic Content toggle. If this field is set to true, the video will be labeled as Brand Organic Content, indicating you are promoting yourself or your own business. A “Promotional content” label will be attached to the video.",
+            default=False,
+            advanced=True,
+        )
+        image_cover_index: int = SchemaField(
+            description="Index of image to use as cover (0-based, image posts only)",
+            default=0,
+            advanced=True,
+        )
+        title: str = SchemaField(
+            description="Title for image posts", default="", advanced=True
+        )
+        thumbnail_offset: int = SchemaField(
+            description="Video thumbnail frame offset in milliseconds (video only)",
+            default=0,
+            advanced=True,
+        )
+        visibility: TikTokVisibility = SchemaField(
+            description="Post visibility: 'public', 'private', 'followers', or 'friends'",
+            default=TikTokVisibility.PUBLIC,
+            advanced=True,
+        )
+        draft: bool = SchemaField(
+            description="Create as draft post (video only)",
+            default=False,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            id="7faf4b27-96b0-4f05-bf64-e0de54ae74e1",
+            description="Post to TikTok using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToTikTokBlock.Input,
+            output_schema=PostToTikTokBlock.Output,
+        )
+
+    async def run(
+        self, input_data: "PostToTikTokBlock.Input", *, user_id: str, **kwargs
+    ) -> BlockOutput:
+        """Post to TikTok with TikTok-specific validation and options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate TikTok constraints
+        if len(input_data.post) > 2200:
+            yield "error", f"TikTok post text exceeds 2,200 character limit ({len(input_data.post)} characters)"
+            return
+
+        if not input_data.media_urls:
+            yield "error", "TikTok requires at least one media URL (either 1 video or up to 35 images)"
+            return
+
+        # Check for video vs image constraints
+        video_extensions = [".mp4", ".mov", ".avi", ".mkv", ".wmv", ".flv", ".webm"]
+        image_extensions = [".jpg", ".jpeg", ".webp"]
+
+        has_video = input_data.is_video or any(
+            any(url.lower().endswith(ext) for ext in video_extensions)
+            for url in input_data.media_urls
+        )
+
+        has_images = any(
+            any(url.lower().endswith(ext) for ext in image_extensions)
+            for url in input_data.media_urls
+        )
+
+        if has_video and has_images:
+            yield "error", "TikTok does not support mixing video and images in the same post"
+            return
+
+        if has_video and len(input_data.media_urls) > 1:
+            yield "error", "TikTok supports only 1 video per post"
+            return
+
+        if has_images and len(input_data.media_urls) > 35:
+            yield "error", "TikTok supports a maximum of 35 images per post"
+            return
+
+        # Validate image cover index
+        if has_images and input_data.image_cover_index >= len(input_data.media_urls):
+            yield "error", f"Image cover index {input_data.image_cover_index} is out of range (max: {len(input_data.media_urls) - 1})"
+            return
+
+        # Check for PNG files (not supported)
+        has_png = any(url.lower().endswith(".png") for url in input_data.media_urls)
+        if has_png:
+            yield "error", "TikTok does not support PNG files. Please use JPG, JPEG, or WEBP for images."
+            return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build TikTok-specific options
+        tiktok_options = {}
+
+        # Common options
+        if input_data.auto_add_music and has_images:
+            tiktok_options["autoAddMusic"] = True
+
+        if input_data.disable_comments:
+            tiktok_options["disableComments"] = True
+
+        if input_data.is_branded_content:
+            tiktok_options["isBrandedContent"] = True
+
+        if input_data.is_brand_organic:
+            tiktok_options["isBrandOrganic"] = True
+
+        # Video-specific options
+        if has_video:
+            if input_data.disable_duet:
+                tiktok_options["disableDuet"] = True
+
+            if input_data.disable_stitch:
+                tiktok_options["disableStitch"] = True
+
+            if input_data.is_ai_generated:
+                tiktok_options["isAIGenerated"] = True
+
+            if input_data.thumbnail_offset > 0:
+                tiktok_options["thumbNailOffset"] = input_data.thumbnail_offset
+
+            if input_data.draft:
+                tiktok_options["draft"] = True
+
+        # Image-specific options
+        if has_images:
+            if input_data.image_cover_index > 0:
+                tiktok_options["imageCoverIndex"] = input_data.image_cover_index
+
+            if input_data.title:
+                tiktok_options["title"] = input_data.title
+
+            if input_data.visibility != TikTokVisibility.PUBLIC:
+                tiktok_options["visibility"] = input_data.visibility.value
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.TIKTOK],
+            media_urls=input_data.media_urls,
+            is_video=has_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            tiktok_options=tiktok_options if tiktok_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_x.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_x.py
new file mode 100644
index 000000000000..bc23ac2c78b8
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_x.py
@@ -0,0 +1,241 @@
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class PostToXBlock(Block):
+    """Block for posting to X / Twitter with Twitter-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for X / Twitter posts."""
+
+        # Override post field to include X-specific information
+        post: str = SchemaField(
+            description="The post text (max 280 chars, up to 25,000 for Premium users). Use @handle to mention users. Use \\n\\n for thread breaks.",
+            advanced=False,
+        )
+
+        # Override media_urls to include X-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Optional list of media URLs. X supports up to 4 images or videos per tweet. Auto-preview links unless media is included.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # X-specific options
+        reply_to_id: str | None = SchemaField(
+            description="ID of the tweet to reply to",
+            default=None,
+            advanced=True,
+        )
+        quote_tweet_id: str | None = SchemaField(
+            description="ID of the tweet to quote (low-level Tweet ID)",
+            default=None,
+            advanced=True,
+        )
+        poll_options: list[str] = SchemaField(
+            description="Poll options (2-4 choices)",
+            default_factory=list,
+            advanced=True,
+        )
+        poll_duration: int = SchemaField(
+            description="Poll duration in minutes (1-10080)",
+            default=1440,
+            advanced=True,
+        )
+        alt_text: list[str] = SchemaField(
+            description="Alt text for each image (max 1,000 chars each, not supported for videos)",
+            default_factory=list,
+            advanced=True,
+        )
+        is_thread: bool = SchemaField(
+            description="Whether to automatically break post into thread based on line breaks",
+            default=False,
+            advanced=True,
+        )
+        thread_number: bool = SchemaField(
+            description="Add thread numbers (1/n format) to each thread post",
+            default=False,
+            advanced=True,
+        )
+        thread_media_urls: list[str] = SchemaField(
+            description="Media URLs for thread posts (one per thread, use 'null' to skip)",
+            default_factory=list,
+            advanced=True,
+        )
+        long_post: bool = SchemaField(
+            description="Force long form post (requires Premium X account)",
+            default=False,
+            advanced=True,
+        )
+        long_video: bool = SchemaField(
+            description="Enable long video upload (requires approval and Business/Enterprise plan)",
+            default=False,
+            advanced=True,
+        )
+        subtitle_url: str = SchemaField(
+            description="URL to SRT subtitle file for videos (must be HTTPS and end in .srt)",
+            default="",
+            advanced=True,
+        )
+        subtitle_language: str = SchemaField(
+            description="Language code for subtitles (default: 'en')",
+            default="en",
+            advanced=True,
+        )
+        subtitle_name: str = SchemaField(
+            description="Name of caption track (max 150 chars, default: 'English')",
+            default="English",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            id="9e8f844e-b4a5-4b25-80f2-9e1dd7d67625",
+            description="Post to X / Twitter using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToXBlock.Input,
+            output_schema=PostToXBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToXBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to X / Twitter with enhanced X-specific options."""
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate X constraints
+        if not input_data.long_post and len(input_data.post) > 280:
+            yield "error", f"X post text exceeds 280 character limit ({len(input_data.post)} characters). Enable 'long_post' for Premium accounts."
+            return
+
+        if input_data.long_post and len(input_data.post) > 25000:
+            yield "error", f"X long post text exceeds 25,000 character limit ({len(input_data.post)} characters)"
+            return
+
+        if len(input_data.media_urls) > 4:
+            yield "error", "X supports a maximum of 4 images or videos per tweet"
+            return
+
+        # Validate poll options
+        if input_data.poll_options:
+            if len(input_data.poll_options) < 2 or len(input_data.poll_options) > 4:
+                yield "error", "X polls require 2-4 options"
+                return
+
+            if input_data.poll_duration < 1 or input_data.poll_duration > 10080:
+                yield "error", "X poll duration must be between 1 and 10,080 minutes (7 days)"
+                return
+
+        # Validate alt text
+        if input_data.alt_text:
+            for i, alt in enumerate(input_data.alt_text):
+                if len(alt) > 1000:
+                    yield "error", f"X alt text {i+1} exceeds 1,000 character limit ({len(alt)} characters)"
+                    return
+
+        # Validate subtitle settings
+        if input_data.subtitle_url:
+            if not input_data.subtitle_url.startswith(
+                "https://"
+            ) or not input_data.subtitle_url.endswith(".srt"):
+                yield "error", "Subtitle URL must start with https:// and end with .srt"
+                return
+
+            if len(input_data.subtitle_name) > 150:
+                yield "error", f"Subtitle name exceeds 150 character limit ({len(input_data.subtitle_name)} characters)"
+                return
+
+        # Convert datetime to ISO format if provided
+        iso_date = (
+            input_data.schedule_date.isoformat() if input_data.schedule_date else None
+        )
+
+        # Build X-specific options
+        twitter_options = {}
+
+        # Basic options
+        if input_data.reply_to_id:
+            twitter_options["replyToId"] = input_data.reply_to_id
+
+        if input_data.quote_tweet_id:
+            twitter_options["quoteTweetId"] = input_data.quote_tweet_id
+
+        if input_data.long_post:
+            twitter_options["longPost"] = True
+
+        if input_data.long_video:
+            twitter_options["longVideo"] = True
+
+        # Poll options
+        if input_data.poll_options:
+            twitter_options["poll"] = {
+                "duration": input_data.poll_duration,
+                "options": input_data.poll_options,
+            }
+
+        # Alt text for images
+        if input_data.alt_text:
+            twitter_options["altText"] = input_data.alt_text
+
+        # Thread options
+        if input_data.is_thread:
+            twitter_options["thread"] = True
+
+            if input_data.thread_number:
+                twitter_options["threadNumber"] = True
+
+            if input_data.thread_media_urls:
+                twitter_options["mediaUrls"] = input_data.thread_media_urls
+
+        # Video subtitle options
+        if input_data.subtitle_url:
+            twitter_options["subTitleUrl"] = input_data.subtitle_url
+            twitter_options["subTitleLanguage"] = input_data.subtitle_language
+            twitter_options["subTitleName"] = input_data.subtitle_name
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.TWITTER],
+            media_urls=input_data.media_urls,
+            is_video=input_data.is_video,
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            twitter_options=twitter_options if twitter_options else None,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/backend/backend/blocks/ayrshare/post_to_youtube.py b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_youtube.py
new file mode 100644
index 000000000000..fbcc9afce678
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/ayrshare/post_to_youtube.py
@@ -0,0 +1,310 @@
+from enum import Enum
+from typing import Any
+
+from backend.integrations.ayrshare import PostIds, PostResponse, SocialPlatform
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    SchemaField,
+)
+
+from ._util import BaseAyrshareInput, create_ayrshare_client, get_profile_key
+
+
+class YouTubeVisibility(str, Enum):
+    PRIVATE = "private"
+    PUBLIC = "public"
+    UNLISTED = "unlisted"
+
+
+class PostToYouTubeBlock(Block):
+    """Block for posting to YouTube with YouTube-specific options."""
+
+    class Input(BaseAyrshareInput):
+        """Input schema for YouTube posts."""
+
+        # Override post field to include YouTube-specific information
+        post: str = SchemaField(
+            description="Video description (max 5,000 chars, empty string allowed). Cannot contain < or > characters.",
+            advanced=False,
+        )
+
+        # Override media_urls to include YouTube-specific constraints
+        media_urls: list[str] = SchemaField(
+            description="Required video URL. YouTube only supports 1 video per post.",
+            default_factory=list,
+            advanced=False,
+        )
+
+        # YouTube-specific required options
+        title: str = SchemaField(
+            description="Video title (max 100 chars, required). Cannot contain < or > characters.",
+            advanced=False,
+        )
+
+        # YouTube-specific optional options
+        visibility: YouTubeVisibility = SchemaField(
+            description="Video visibility: 'private' (default), 'public' , or 'unlisted'",
+            default=YouTubeVisibility.PRIVATE,
+            advanced=False,
+        )
+        thumbnail: str | None = SchemaField(
+            description="Thumbnail URL (JPEG/PNG under 2MB, must end in .png/.jpg/.jpeg). Requires phone verification.",
+            default=None,
+            advanced=True,
+        )
+        playlist_id: str | None = SchemaField(
+            description="Playlist ID to add video (user must own playlist)",
+            default=None,
+            advanced=True,
+        )
+        tags: list[str] | None = SchemaField(
+            description="Video tags (min 2 chars each, max 500 chars total)",
+            default=None,
+            advanced=True,
+        )
+        made_for_kids: bool | None = SchemaField(
+            description="Self-declared kids content", default=None, advanced=True
+        )
+        is_shorts: bool | None = SchemaField(
+            description="Post as YouTube Short (max 3 minutes, adds #shorts)",
+            default=None,
+            advanced=True,
+        )
+        notify_subscribers: bool | None = SchemaField(
+            description="Send notification to subscribers", default=None, advanced=True
+        )
+        category_id: int | None = SchemaField(
+            description="Video category ID (e.g., 24 = Entertainment)",
+            default=None,
+            advanced=True,
+        )
+        contains_synthetic_media: bool | None = SchemaField(
+            description="Disclose realistic AI/synthetic content",
+            default=None,
+            advanced=True,
+        )
+        publish_at: str | None = SchemaField(
+            description="UTC publish time (YouTube controlled, format: 2022-10-08T21:18:36Z)",
+            default=None,
+            advanced=True,
+        )
+        # YouTube targeting options (flattened from YouTubeTargeting object)
+        targeting_block_countries: list[str] | None = SchemaField(
+            description="Country codes to block from viewing (e.g., ['US', 'CA'])",
+            default=None,
+            advanced=True,
+        )
+        targeting_allow_countries: list[str] | None = SchemaField(
+            description="Country codes to allow viewing (e.g., ['GB', 'AU'])",
+            default=None,
+            advanced=True,
+        )
+        subtitle_url: str | None = SchemaField(
+            description="URL to SRT or SBV subtitle file (must be HTTPS and end in .srt/.sbv, under 100MB)",
+            default=None,
+            advanced=True,
+        )
+        subtitle_language: str | None = SchemaField(
+            description="Language code for subtitles (default: 'en')",
+            default=None,
+            advanced=True,
+        )
+        subtitle_name: str | None = SchemaField(
+            description="Name of caption track (max 150 chars, default: 'English')",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        post_result: PostResponse = SchemaField(description="The result of the post")
+        post: PostIds = SchemaField(description="The result of the post")
+
+    def __init__(self):
+        super().__init__(
+            id="0082d712-ff1b-4c3d-8a8d-6c7721883b83",
+            description="Post to YouTube using Ayrshare",
+            categories={BlockCategory.SOCIAL},
+            block_type=BlockType.AYRSHARE,
+            input_schema=PostToYouTubeBlock.Input,
+            output_schema=PostToYouTubeBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: "PostToYouTubeBlock.Input",
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        """Post to YouTube with YouTube-specific validation and options."""
+
+        profile_key = await get_profile_key(user_id)
+        if not profile_key:
+            yield "error", "Please link a social account via Ayrshare"
+            return
+
+        client = create_ayrshare_client()
+        if not client:
+            yield "error", "Ayrshare integration is not configured. Please set up the AYRSHARE_API_KEY."
+            return
+
+        # Validate YouTube constraints
+        if not input_data.title:
+            yield "error", "YouTube requires a video title"
+            return
+
+        if len(input_data.title) > 100:
+            yield "error", f"YouTube title exceeds 100 character limit ({len(input_data.title)} characters)"
+            return
+
+        if len(input_data.post) > 5000:
+            yield "error", f"YouTube description exceeds 5,000 character limit ({len(input_data.post)} characters)"
+            return
+
+        # Check for forbidden characters
+        forbidden_chars = ["<", ">"]
+        for char in forbidden_chars:
+            if char in input_data.title:
+                yield "error", f"YouTube title cannot contain '{char}' character"
+                return
+            if char in input_data.post:
+                yield "error", f"YouTube description cannot contain '{char}' character"
+                return
+
+        if not input_data.media_urls:
+            yield "error", "YouTube requires exactly one video URL"
+            return
+
+        if len(input_data.media_urls) > 1:
+            yield "error", "YouTube supports only 1 video per post"
+            return
+
+        # Validate visibility option
+        valid_visibility = ["private", "public", "unlisted"]
+        if input_data.visibility not in valid_visibility:
+            yield "error", f"YouTube visibility must be one of: {', '.join(valid_visibility)}"
+            return
+
+        # Validate thumbnail URL format
+        if input_data.thumbnail:
+            valid_extensions = [".png", ".jpg", ".jpeg"]
+            if not any(
+                input_data.thumbnail.lower().endswith(ext) for ext in valid_extensions
+            ):
+                yield "error", "YouTube thumbnail must end in .png, .jpg, or .jpeg"
+                return
+
+        # Validate tags
+        if input_data.tags:
+            total_tag_length = sum(len(tag) for tag in input_data.tags)
+            if total_tag_length > 500:
+                yield "error", f"YouTube tags total length exceeds 500 characters ({total_tag_length} characters)"
+                return
+
+            for tag in input_data.tags:
+                if len(tag) < 2:
+                    yield "error", f"YouTube tag '{tag}' is too short (minimum 2 characters)"
+                    return
+
+        # Validate subtitle URL
+        if input_data.subtitle_url:
+            if not input_data.subtitle_url.startswith("https://"):
+                yield "error", "YouTube subtitle URL must start with https://"
+                return
+
+            valid_subtitle_extensions = [".srt", ".sbv"]
+            if not any(
+                input_data.subtitle_url.lower().endswith(ext)
+                for ext in valid_subtitle_extensions
+            ):
+                yield "error", "YouTube subtitle URL must end in .srt or .sbv"
+                return
+
+        if input_data.subtitle_name and len(input_data.subtitle_name) > 150:
+            yield "error", f"YouTube subtitle name exceeds 150 character limit ({len(input_data.subtitle_name)} characters)"
+            return
+
+        # Validate publish_at format if provided
+        if input_data.publish_at and input_data.schedule_date:
+            yield "error", "Cannot use both 'publish_at' and 'schedule_date'. Use 'publish_at' for YouTube-controlled publishing."
+            return
+
+        # Convert datetime to ISO format if provided (only if not using publish_at)
+        iso_date = None
+        if not input_data.publish_at and input_data.schedule_date:
+            iso_date = input_data.schedule_date.isoformat()
+
+        # Build YouTube-specific options
+        youtube_options: dict[str, Any] = {"title": input_data.title}
+
+        # Basic options
+        if input_data.visibility != "private":
+            youtube_options["visibility"] = input_data.visibility
+
+        if input_data.thumbnail:
+            youtube_options["thumbNail"] = input_data.thumbnail
+
+        if input_data.playlist_id:
+            youtube_options["playListId"] = input_data.playlist_id
+
+        if input_data.tags:
+            youtube_options["tags"] = input_data.tags
+
+        if input_data.made_for_kids:
+            youtube_options["madeForKids"] = True
+
+        if input_data.is_shorts:
+            youtube_options["shorts"] = True
+
+        if not input_data.notify_subscribers:
+            youtube_options["notifySubscribers"] = False
+
+        if input_data.category_id and input_data.category_id > 0:
+            youtube_options["categoryId"] = input_data.category_id
+
+        if input_data.contains_synthetic_media:
+            youtube_options["containsSyntheticMedia"] = True
+
+        if input_data.publish_at:
+            youtube_options["publishAt"] = input_data.publish_at
+
+        # Country targeting (from flattened fields)
+        targeting_dict = {}
+        if input_data.targeting_block_countries:
+            targeting_dict["block"] = input_data.targeting_block_countries
+        if input_data.targeting_allow_countries:
+            targeting_dict["allow"] = input_data.targeting_allow_countries
+
+        if targeting_dict:
+            youtube_options["targeting"] = targeting_dict
+
+        # Subtitle options
+        if input_data.subtitle_url:
+            youtube_options["subTitleUrl"] = input_data.subtitle_url
+            youtube_options["subTitleLanguage"] = input_data.subtitle_language
+            youtube_options["subTitleName"] = input_data.subtitle_name
+
+        response = await client.create_post(
+            post=input_data.post,
+            platforms=[SocialPlatform.YOUTUBE],
+            media_urls=input_data.media_urls,
+            is_video=True,  # YouTube only supports videos
+            schedule_date=iso_date,
+            disable_comments=input_data.disable_comments,
+            shorten_links=input_data.shorten_links,
+            unsplash=input_data.unsplash,
+            requires_approval=input_data.requires_approval,
+            random_post=input_data.random_post,
+            random_media_url=input_data.random_media_url,
+            notes=input_data.notes,
+            youtube_options=youtube_options,
+            profile_key=profile_key.get_secret_value(),
+        )
+        yield "post_result", response
+        if response.postIds:
+            for p in response.postIds:
+                yield "post", p
diff --git a/autogpt_platform/market/market/__init__.py b/autogpt_platform/backend/backend/blocks/baas/__init__.py
similarity index 100%
rename from autogpt_platform/market/market/__init__.py
rename to autogpt_platform/backend/backend/blocks/baas/__init__.py
diff --git a/autogpt_platform/backend/backend/blocks/baas/_api.py b/autogpt_platform/backend/backend/blocks/baas/_api.py
new file mode 100644
index 000000000000..6a53653aa3af
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/baas/_api.py
@@ -0,0 +1,205 @@
+"""
+Meeting BaaS API client module.
+All API calls centralized for consistency and maintainability.
+"""
+
+from typing import Any, Dict, List, Optional
+
+from backend.sdk import Requests
+
+
+class MeetingBaasAPI:
+    """Client for Meeting BaaS API endpoints."""
+
+    BASE_URL = "https://api.meetingbaas.com"
+
+    def __init__(self, api_key: str):
+        """Initialize API client with authentication key."""
+        self.api_key = api_key
+        self.headers = {"x-meeting-baas-api-key": api_key}
+        self.requests = Requests()
+
+    # Bot Management Endpoints
+
+    async def join_meeting(
+        self,
+        bot_name: str,
+        meeting_url: str,
+        reserved: bool = False,
+        bot_image: Optional[str] = None,
+        entry_message: Optional[str] = None,
+        start_time: Optional[int] = None,
+        speech_to_text: Optional[Dict[str, Any]] = None,
+        webhook_url: Optional[str] = None,
+        automatic_leave: Optional[Dict[str, Any]] = None,
+        extra: Optional[Dict[str, Any]] = None,
+        recording_mode: str = "speaker_view",
+        streaming: Optional[Dict[str, Any]] = None,
+        deduplication_key: Optional[str] = None,
+        zoom_sdk_id: Optional[str] = None,
+        zoom_sdk_pwd: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """
+        Deploy a bot to join and record a meeting.
+
+        POST /bots
+        """
+        body = {
+            "bot_name": bot_name,
+            "meeting_url": meeting_url,
+            "reserved": reserved,
+            "recording_mode": recording_mode,
+        }
+
+        # Add optional fields if provided
+        if bot_image is not None:
+            body["bot_image"] = bot_image
+        if entry_message is not None:
+            body["entry_message"] = entry_message
+        if start_time is not None:
+            body["start_time"] = start_time
+        if speech_to_text is not None:
+            body["speech_to_text"] = speech_to_text
+        if webhook_url is not None:
+            body["webhook_url"] = webhook_url
+        if automatic_leave is not None:
+            body["automatic_leave"] = automatic_leave
+        if extra is not None:
+            body["extra"] = extra
+        if streaming is not None:
+            body["streaming"] = streaming
+        if deduplication_key is not None:
+            body["deduplication_key"] = deduplication_key
+        if zoom_sdk_id is not None:
+            body["zoom_sdk_id"] = zoom_sdk_id
+        if zoom_sdk_pwd is not None:
+            body["zoom_sdk_pwd"] = zoom_sdk_pwd
+
+        response = await self.requests.post(
+            f"{self.BASE_URL}/bots",
+            headers=self.headers,
+            json=body,
+        )
+        return response.json()
+
+    async def leave_meeting(self, bot_id: str) -> bool:
+        """
+        Remove a bot from an ongoing meeting.
+
+        DELETE /bots/{uuid}
+        """
+        response = await self.requests.delete(
+            f"{self.BASE_URL}/bots/{bot_id}",
+            headers=self.headers,
+        )
+        return response.status in [200, 204]
+
+    async def retranscribe(
+        self,
+        bot_uuid: str,
+        speech_to_text: Optional[Dict[str, Any]] = None,
+        webhook_url: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """
+        Re-run transcription on a bot's audio.
+
+        POST /bots/retranscribe
+        """
+        body: Dict[str, Any] = {"bot_uuid": bot_uuid}
+
+        if speech_to_text is not None:
+            body["speech_to_text"] = speech_to_text
+        if webhook_url is not None:
+            body["webhook_url"] = webhook_url
+
+        response = await self.requests.post(
+            f"{self.BASE_URL}/bots/retranscribe",
+            headers=self.headers,
+            json=body,
+        )
+
+        if response.status == 202:
+            return {"accepted": True}
+        return response.json()
+
+    # Data Retrieval Endpoints
+
+    async def get_meeting_data(
+        self, bot_id: str, include_transcripts: bool = True
+    ) -> Dict[str, Any]:
+        """
+        Retrieve meeting data including recording and transcripts.
+
+        GET /bots/meeting_data
+        """
+        params = {
+            "bot_id": bot_id,
+            "include_transcripts": str(include_transcripts).lower(),
+        }
+
+        response = await self.requests.get(
+            f"{self.BASE_URL}/bots/meeting_data",
+            headers=self.headers,
+            params=params,
+        )
+        return response.json()
+
+    async def get_screenshots(self, bot_id: str) -> List[Dict[str, Any]]:
+        """
+        Retrieve screenshots captured during a meeting.
+
+        GET /bots/{uuid}/screenshots
+        """
+        response = await self.requests.get(
+            f"{self.BASE_URL}/bots/{bot_id}/screenshots",
+            headers=self.headers,
+        )
+        result = response.json()
+        # Ensure we return a list
+        if isinstance(result, list):
+            return result
+        return []
+
+    async def delete_data(self, bot_id: str) -> bool:
+        """
+        Delete a bot's recorded data.
+
+        POST /bots/{uuid}/delete_data
+        """
+        response = await self.requests.post(
+            f"{self.BASE_URL}/bots/{bot_id}/delete_data",
+            headers=self.headers,
+        )
+        return response.status == 200
+
+    async def list_bots_with_metadata(
+        self,
+        limit: Optional[int] = None,
+        offset: Optional[int] = None,
+        sort_by: Optional[str] = None,
+        sort_order: Optional[str] = None,
+        filter_by: Optional[Dict[str, Any]] = None,
+    ) -> Dict[str, Any]:
+        """
+        List bots with metadata including IDs, names, and meeting details.
+
+        GET /bots/bots_with_metadata
+        """
+        params = {}
+        if limit is not None:
+            params["limit"] = limit
+        if offset is not None:
+            params["offset"] = offset
+        if sort_by is not None:
+            params["sort_by"] = sort_by
+        if sort_order is not None:
+            params["sort_order"] = sort_order
+        if filter_by is not None:
+            params.update(filter_by)
+
+        response = await self.requests.get(
+            f"{self.BASE_URL}/bots/bots_with_metadata",
+            headers=self.headers,
+            params=params,
+        )
+        return response.json()
diff --git a/autogpt_platform/backend/backend/blocks/baas/_config.py b/autogpt_platform/backend/backend/blocks/baas/_config.py
new file mode 100644
index 000000000000..c6ae3e68f585
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/baas/_config.py
@@ -0,0 +1,13 @@
+"""
+Shared configuration for all Meeting BaaS blocks using the SDK pattern.
+"""
+
+from backend.sdk import BlockCostType, ProviderBuilder
+
+# Configure the Meeting BaaS provider with API key authentication
+baas = (
+    ProviderBuilder("baas")
+    .with_api_key("MEETING_BAAS_API_KEY", "Meeting BaaS API Key")
+    .with_base_cost(5, BlockCostType.RUN)  # Higher cost for meeting recording service
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/baas/bots.py b/autogpt_platform/backend/backend/blocks/baas/bots.py
new file mode 100644
index 000000000000..da8400bb2c5e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/baas/bots.py
@@ -0,0 +1,217 @@
+"""
+Meeting BaaS bot (recording) blocks.
+"""
+
+from typing import Optional
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._api import MeetingBaasAPI
+from ._config import baas
+
+
+class BaasBotJoinMeetingBlock(Block):
+    """
+    Deploy a bot immediately or at a scheduled start_time to join and record a meeting.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = baas.credentials_field(
+            description="Meeting BaaS API credentials"
+        )
+        meeting_url: str = SchemaField(
+            description="The URL of the meeting the bot should join"
+        )
+        bot_name: str = SchemaField(
+            description="Display name for the bot in the meeting"
+        )
+        bot_image: str = SchemaField(
+            description="URL to an image for the bot's avatar (16:9 ratio recommended)",
+            default="",
+        )
+        entry_message: str = SchemaField(
+            description="Chat message the bot will post upon entry", default=""
+        )
+        reserved: bool = SchemaField(
+            description="Use a reserved bot slot (joins 4 min before meeting)",
+            default=False,
+        )
+        start_time: Optional[int] = SchemaField(
+            description="Unix timestamp (ms) when bot should join", default=None
+        )
+        webhook_url: str | None = SchemaField(
+            description="URL to receive webhook events for this bot", default=None
+        )
+        timeouts: dict = SchemaField(
+            description="Automatic leave timeouts configuration", default={}
+        )
+        extra: dict = SchemaField(
+            description="Custom metadata to attach to the bot", default={}
+        )
+
+    class Output(BlockSchema):
+        bot_id: str = SchemaField(description="UUID of the deployed bot")
+        join_response: dict = SchemaField(
+            description="Full response from join operation"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="377d1a6a-a99b-46cf-9af3-1d1b12758e04",
+            description="Deploy a bot to join and record a meeting",
+            categories={BlockCategory.COMMUNICATION},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        api_key = credentials.api_key.get_secret_value()
+        api = MeetingBaasAPI(api_key)
+
+        # Call API with all parameters
+        data = await api.join_meeting(
+            bot_name=input_data.bot_name,
+            meeting_url=input_data.meeting_url,
+            reserved=input_data.reserved,
+            bot_image=input_data.bot_image if input_data.bot_image else None,
+            entry_message=(
+                input_data.entry_message if input_data.entry_message else None
+            ),
+            start_time=input_data.start_time,
+            speech_to_text={"provider": "Default"},
+            webhook_url=input_data.webhook_url if input_data.webhook_url else None,
+            automatic_leave=input_data.timeouts if input_data.timeouts else None,
+            extra=input_data.extra if input_data.extra else None,
+        )
+
+        yield "bot_id", data.get("bot_id", "")
+        yield "join_response", data
+
+
+class BaasBotLeaveMeetingBlock(Block):
+    """
+    Force the bot to exit the call.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = baas.credentials_field(
+            description="Meeting BaaS API credentials"
+        )
+        bot_id: str = SchemaField(description="UUID of the bot to remove from meeting")
+
+    class Output(BlockSchema):
+        left: bool = SchemaField(description="Whether the bot successfully left")
+
+    def __init__(self):
+        super().__init__(
+            id="bf77d128-8b25-4280-b5c7-2d553ba7e482",
+            description="Remove a bot from an ongoing meeting",
+            categories={BlockCategory.COMMUNICATION},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        api_key = credentials.api_key.get_secret_value()
+        api = MeetingBaasAPI(api_key)
+
+        # Leave meeting
+        left = await api.leave_meeting(input_data.bot_id)
+
+        yield "left", left
+
+
+class BaasBotFetchMeetingDataBlock(Block):
+    """
+    Pull MP4 URL, transcript & metadata for a completed meeting.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = baas.credentials_field(
+            description="Meeting BaaS API credentials"
+        )
+        bot_id: str = SchemaField(description="UUID of the bot whose data to fetch")
+        include_transcripts: bool = SchemaField(
+            description="Include transcript data in response", default=True
+        )
+
+    class Output(BlockSchema):
+        mp4_url: str = SchemaField(
+            description="URL to download the meeting recording (time-limited)"
+        )
+        transcript: list = SchemaField(description="Meeting transcript data")
+        metadata: dict = SchemaField(description="Meeting metadata and bot information")
+
+    def __init__(self):
+        super().__init__(
+            id="ea7c1309-303c-4da1-893f-89c0e9d64e78",
+            description="Retrieve recorded meeting data",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        api_key = credentials.api_key.get_secret_value()
+        api = MeetingBaasAPI(api_key)
+
+        # Fetch meeting data
+        data = await api.get_meeting_data(
+            bot_id=input_data.bot_id,
+            include_transcripts=input_data.include_transcripts,
+        )
+
+        yield "mp4_url", data.get("mp4", "")
+        yield "transcript", data.get("bot_data", {}).get("transcripts", [])
+        yield "metadata", data.get("bot_data", {}).get("bot", {})
+
+
+class BaasBotDeleteRecordingBlock(Block):
+    """
+    Purge MP4 + transcript data for privacy or storage management.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = baas.credentials_field(
+            description="Meeting BaaS API credentials"
+        )
+        bot_id: str = SchemaField(description="UUID of the bot whose data to delete")
+
+    class Output(BlockSchema):
+        deleted: bool = SchemaField(
+            description="Whether the data was successfully deleted"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="bf8d1aa6-42d8-4944-b6bd-6bac554c0d3b",
+            description="Permanently delete a meeting's recorded data",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        api_key = credentials.api_key.get_secret_value()
+        api = MeetingBaasAPI(api_key)
+
+        # Delete recording data
+        deleted = await api.delete_data(input_data.bot_id)
+
+        yield "deleted", deleted
diff --git a/autogpt_platform/backend/backend/blocks/basic.py b/autogpt_platform/backend/backend/blocks/basic.py
index 58a3ba241079..ef251489c742 100644
--- a/autogpt_platform/backend/backend/blocks/basic.py
+++ b/autogpt_platform/backend/backend/blocks/basic.py
@@ -1,11 +1,53 @@
-from typing import Any, List
+import enum
+from typing import Any
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
 from backend.data.model import SchemaField
-from backend.util.mock import MockObject
-from backend.util.text import TextFormatter
+from backend.util.file import store_media_file
+from backend.util.type import MediaFileType, convert
 
-formatter = TextFormatter()
+
+class FileStoreBlock(Block):
+    class Input(BlockSchema):
+        file_in: MediaFileType = SchemaField(
+            description="The file to store in the temporary directory, it can be a URL, data URI, or local path."
+        )
+        base_64: bool = SchemaField(
+            description="Whether produce an output in base64 format (not recommended, you can pass the string path just fine accross blocks).",
+            default=False,
+            advanced=True,
+            title="Produce Base64 Output",
+        )
+
+    class Output(BlockSchema):
+        file_out: MediaFileType = SchemaField(
+            description="The relative path to the stored file in the temporary directory."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="cbb50872-625b-42f0-8203-a2ae78242d8a",
+            description="Stores the input file in the temporary directory.",
+            categories={BlockCategory.BASIC, BlockCategory.MULTIMEDIA},
+            input_schema=FileStoreBlock.Input,
+            output_schema=FileStoreBlock.Output,
+            static_output=True,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        yield "file_out", await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.file_in,
+            user_id=user_id,
+            return_content=input_data.base_64,
+        )
 
 
 class StoreValueBlock(Block):
@@ -47,15 +89,16 @@ def __init__(self):
             static_output=True,
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         yield "output", input_data.data or input_data.input
 
 
 class PrintToConsoleBlock(Block):
     class Input(BlockSchema):
-        text: str = SchemaField(description="The text to print to the console.")
+        text: Any = SchemaField(description="The data to print to the console.")
 
     class Output(BlockSchema):
+        output: Any = SchemaField(description="The data printed to the console.")
         status: str = SchemaField(description="The status of the print operation.")
 
     def __init__(self):
@@ -66,407 +109,15 @@ def __init__(self):
             input_schema=PrintToConsoleBlock.Input,
             output_schema=PrintToConsoleBlock.Output,
             test_input={"text": "Hello, World!"},
-            test_output=("status", "printed"),
-        )
-
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        print(">>>>> Print: ", input_data.text)
-        yield "status", "printed"
-
-
-class FindInDictionaryBlock(Block):
-    class Input(BlockSchema):
-        input: Any = SchemaField(description="Dictionary to lookup from")
-        key: str | int = SchemaField(description="Key to lookup in the dictionary")
-
-    class Output(BlockSchema):
-        output: Any = SchemaField(description="Value found for the given key")
-        missing: Any = SchemaField(
-            description="Value of the input that missing the key"
-        )
-
-    def __init__(self):
-        super().__init__(
-            id="0e50422c-6dee-4145-83d6-3a5a392f65de",
-            description="Lookup the given key in the input dictionary/object/list and return the value.",
-            input_schema=FindInDictionaryBlock.Input,
-            output_schema=FindInDictionaryBlock.Output,
-            test_input=[
-                {"input": {"apple": 1, "banana": 2, "cherry": 3}, "key": "banana"},
-                {"input": {"x": 10, "y": 20, "z": 30}, "key": "w"},
-                {"input": [1, 2, 3], "key": 1},
-                {"input": [1, 2, 3], "key": 3},
-                {"input": MockObject(value="!!", key="key"), "key": "key"},
-                {"input": [{"k1": "v1"}, {"k2": "v2"}, {"k1": "v3"}], "key": "k1"},
-            ],
-            test_output=[
-                ("output", 2),
-                ("missing", {"x": 10, "y": 20, "z": 30}),
-                ("output", 2),
-                ("missing", [1, 2, 3]),
-                ("output", "key"),
-                ("output", ["v1", "v3"]),
-            ],
-            categories={BlockCategory.BASIC},
-        )
-
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        obj = input_data.input
-        key = input_data.key
-
-        if isinstance(obj, dict) and key in obj:
-            yield "output", obj[key]
-        elif isinstance(obj, list) and isinstance(key, int) and 0 <= key < len(obj):
-            yield "output", obj[key]
-        elif isinstance(obj, list) and isinstance(key, str):
-            if len(obj) == 0:
-                yield "output", []
-            elif isinstance(obj[0], dict) and key in obj[0]:
-                yield "output", [item[key] for item in obj if key in item]
-            else:
-                yield "output", [getattr(val, key) for val in obj if hasattr(val, key)]
-        elif isinstance(obj, object) and isinstance(key, str) and hasattr(obj, key):
-            yield "output", getattr(obj, key)
-        else:
-            yield "missing", input_data.input
-
-
-class AgentInputBlock(Block):
-    """
-    This block is used to provide input to the graph.
-
-    It takes in a value, name, description, default values list and bool to limit selection to default values.
-
-    It Outputs the value passed as input.
-    """
-
-    class Input(BlockSchema):
-        name: str = SchemaField(description="The name of the input.")
-        value: Any = SchemaField(
-            description="The value to be passed as input.",
-            default=None,
-        )
-        title: str | None = SchemaField(
-            description="The title of the input.", default=None, advanced=True
-        )
-        description: str | None = SchemaField(
-            description="The description of the input.",
-            default=None,
-            advanced=True,
-        )
-        placeholder_values: List[Any] = SchemaField(
-            description="The placeholder values to be passed as input.",
-            default=[],
-            advanced=True,
-        )
-        limit_to_placeholder_values: bool = SchemaField(
-            description="Whether to limit the selection to placeholder values.",
-            default=False,
-            advanced=True,
-        )
-        advanced: bool = SchemaField(
-            description="Whether to show the input in the advanced section, if the field is not required.",
-            default=False,
-            advanced=True,
-        )
-        secret: bool = SchemaField(
-            description="Whether the input should be treated as a secret.",
-            default=False,
-            advanced=True,
-        )
-
-    class Output(BlockSchema):
-        result: Any = SchemaField(description="The value passed as input.")
-
-    def __init__(self):
-        super().__init__(
-            id="c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
-            description="This block is used to provide input to the graph.",
-            input_schema=AgentInputBlock.Input,
-            output_schema=AgentInputBlock.Output,
-            test_input=[
-                {
-                    "value": "Hello, World!",
-                    "name": "input_1",
-                    "description": "This is a test input.",
-                    "placeholder_values": [],
-                    "limit_to_placeholder_values": False,
-                },
-                {
-                    "value": "Hello, World!",
-                    "name": "input_2",
-                    "description": "This is a test input.",
-                    "placeholder_values": ["Hello, World!"],
-                    "limit_to_placeholder_values": True,
-                },
-            ],
             test_output=[
-                ("result", "Hello, World!"),
-                ("result", "Hello, World!"),
-            ],
-            categories={BlockCategory.INPUT, BlockCategory.BASIC},
-            block_type=BlockType.INPUT,
-            static_output=True,
-        )
-
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        yield "result", input_data.value
-
-
-class AgentOutputBlock(Block):
-    """
-    Records the output of the graph for users to see.
-
-    Behavior:
-        If `format` is provided and the `value` is of a type that can be formatted,
-        the block attempts to format the recorded_value using the `format`.
-        If formatting fails or no `format` is provided, the raw `value` is output.
-    """
-
-    class Input(BlockSchema):
-        value: Any = SchemaField(
-            description="The value to be recorded as output.",
-            default=None,
-            advanced=False,
-        )
-        name: str = SchemaField(description="The name of the output.")
-        title: str | None = SchemaField(
-            description="The title of the output.",
-            default=None,
-            advanced=True,
-        )
-        description: str | None = SchemaField(
-            description="The description of the output.",
-            default=None,
-            advanced=True,
-        )
-        format: str = SchemaField(
-            description="The format string to be used to format the recorded_value.",
-            default="",
-            advanced=True,
-        )
-        advanced: bool = SchemaField(
-            description="Whether to treat the output as advanced.",
-            default=False,
-            advanced=True,
-        )
-        secret: bool = SchemaField(
-            description="Whether the output should be treated as a secret.",
-            default=False,
-            advanced=True,
-        )
-
-    class Output(BlockSchema):
-        output: Any = SchemaField(description="The value recorded as output.")
-
-    def __init__(self):
-        super().__init__(
-            id="363ae599-353e-4804-937e-b2ee3cef3da4",
-            description="Stores the output of the graph for users to see.",
-            input_schema=AgentOutputBlock.Input,
-            output_schema=AgentOutputBlock.Output,
-            test_input=[
-                {
-                    "value": "Hello, World!",
-                    "name": "output_1",
-                    "description": "This is a test output.",
-                    "format": "{{ output_1 }}!!",
-                },
-                {
-                    "value": "42",
-                    "name": "output_2",
-                    "description": "This is another test output.",
-                    "format": "{{ output_2 }}",
-                },
-                {
-                    "value": MockObject(value="!!", key="key"),
-                    "name": "output_3",
-                    "description": "This is a test output with a mock object.",
-                    "format": "{{ output_3 }}",
-                },
-            ],
-            test_output=[
-                ("output", "Hello, World!!!"),
-                ("output", "42"),
-                ("output", MockObject(value="!!", key="key")),
-            ],
-            categories={BlockCategory.OUTPUT, BlockCategory.BASIC},
-            block_type=BlockType.OUTPUT,
-            static_output=True,
-        )
-
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        """
-        Attempts to format the recorded_value using the fmt_string if provided.
-        If formatting fails or no fmt_string is given, returns the original recorded_value.
-        """
-        if input_data.format:
-            try:
-                yield "output", formatter.format_string(
-                    input_data.format, {input_data.name: input_data.value}
-                )
-            except Exception as e:
-                yield "output", f"Error: {e}, {input_data.value}"
-        else:
-            yield "output", input_data.value
-
-
-class AddToDictionaryBlock(Block):
-    class Input(BlockSchema):
-        dictionary: dict[Any, Any] = SchemaField(
-            default={},
-            description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
-        )
-        key: str = SchemaField(
-            default="",
-            description="The key for the new entry.",
-            placeholder="new_key",
-            advanced=False,
-        )
-        value: Any = SchemaField(
-            default=None,
-            description="The value for the new entry.",
-            placeholder="new_value",
-            advanced=False,
-        )
-        entries: dict[Any, Any] = SchemaField(
-            default={},
-            description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
-            advanced=True,
-        )
-
-    class Output(BlockSchema):
-        updated_dictionary: dict = SchemaField(
-            description="The dictionary with the new entry added."
-        )
-        error: str = SchemaField(description="Error message if the operation failed.")
-
-    def __init__(self):
-        super().__init__(
-            id="31d1064e-7446-4693-a7d4-65e5ca1180d1",
-            description="Adds a new key-value pair to a dictionary. If no dictionary is provided, a new one is created.",
-            categories={BlockCategory.BASIC},
-            input_schema=AddToDictionaryBlock.Input,
-            output_schema=AddToDictionaryBlock.Output,
-            test_input=[
-                {
-                    "dictionary": {"existing_key": "existing_value"},
-                    "key": "new_key",
-                    "value": "new_value",
-                },
-                {"key": "first_key", "value": "first_value"},
-                {
-                    "dictionary": {"existing_key": "existing_value"},
-                    "entries": {"new_key": "new_value", "first_key": "first_value"},
-                },
-            ],
-            test_output=[
-                (
-                    "updated_dictionary",
-                    {"existing_key": "existing_value", "new_key": "new_value"},
-                ),
-                ("updated_dictionary", {"first_key": "first_value"}),
-                (
-                    "updated_dictionary",
-                    {
-                        "existing_key": "existing_value",
-                        "new_key": "new_value",
-                        "first_key": "first_value",
-                    },
-                ),
-            ],
-        )
-
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        updated_dict = input_data.dictionary.copy()
-
-        if input_data.value is not None and input_data.key:
-            updated_dict[input_data.key] = input_data.value
-
-        for key, value in input_data.entries.items():
-            updated_dict[key] = value
-
-        yield "updated_dictionary", updated_dict
-
-
-class AddToListBlock(Block):
-    class Input(BlockSchema):
-        list: List[Any] = SchemaField(
-            default=[],
-            advanced=False,
-            description="The list to add the entry to. If not provided, a new list will be created.",
-        )
-        entry: Any = SchemaField(
-            description="The entry to add to the list. Can be of any type (string, int, dict, etc.).",
-            advanced=False,
-            default=None,
-        )
-        entries: List[Any] = SchemaField(
-            default=[],
-            description="The entries to add to the list. This is the batch version of the `entry` field.",
-            advanced=True,
-        )
-        position: int | None = SchemaField(
-            default=None,
-            description="The position to insert the new entry. If not provided, the entry will be appended to the end of the list.",
-        )
-
-    class Output(BlockSchema):
-        updated_list: List[Any] = SchemaField(
-            description="The list with the new entry added."
-        )
-        error: str = SchemaField(description="Error message if the operation failed.")
-
-    def __init__(self):
-        super().__init__(
-            id="aeb08fc1-2fc1-4141-bc8e-f758f183a822",
-            description="Adds a new entry to a list. The entry can be of any type. If no list is provided, a new one is created.",
-            categories={BlockCategory.BASIC},
-            input_schema=AddToListBlock.Input,
-            output_schema=AddToListBlock.Output,
-            test_input=[
-                {
-                    "list": [1, "string", {"existing_key": "existing_value"}],
-                    "entry": {"new_key": "new_value"},
-                    "position": 1,
-                },
-                {"entry": "first_entry"},
-                {"list": ["a", "b", "c"], "entry": "d"},
-                {
-                    "entry": "e",
-                    "entries": ["f", "g"],
-                    "list": ["a", "b"],
-                    "position": 1,
-                },
-            ],
-            test_output=[
-                (
-                    "updated_list",
-                    [
-                        1,
-                        {"new_key": "new_value"},
-                        "string",
-                        {"existing_key": "existing_value"},
-                    ],
-                ),
-                ("updated_list", ["first_entry"]),
-                ("updated_list", ["a", "b", "c", "d"]),
-                ("updated_list", ["a", "f", "g", "e", "b"]),
+                ("output", "Hello, World!"),
+                ("status", "printed"),
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        entries_added = input_data.entries.copy()
-        if input_data.entry:
-            entries_added.append(input_data.entry)
-
-        updated_list = input_data.list.copy()
-        if (pos := input_data.position) is not None:
-            updated_list = updated_list[:pos] + entries_added + updated_list[pos:]
-        else:
-            updated_list += entries_added
-
-        yield "updated_list", updated_list
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "output", input_data.text
+        yield "status", "printed"
 
 
 class NoteBlock(Block):
@@ -490,103 +141,78 @@ def __init__(self):
             block_type=BlockType.NOTE,
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         yield "output", input_data.text
 
 
-class CreateDictionaryBlock(Block):
+class TypeOptions(enum.Enum):
+    STRING = "string"
+    NUMBER = "number"
+    BOOLEAN = "boolean"
+    LIST = "list"
+    DICTIONARY = "dictionary"
+
+
+class UniversalTypeConverterBlock(Block):
     class Input(BlockSchema):
-        values: dict[str, Any] = SchemaField(
-            description="Key-value pairs to create the dictionary with",
-            placeholder="e.g., {'name': 'Alice', 'age': 25}",
+        value: Any = SchemaField(
+            description="The value to convert to a universal type."
         )
+        type: TypeOptions = SchemaField(description="The type to convert the value to.")
 
     class Output(BlockSchema):
-        dictionary: dict[str, Any] = SchemaField(
-            description="The created dictionary containing the specified key-value pairs"
-        )
-        error: str = SchemaField(
-            description="Error message if dictionary creation failed"
-        )
+        value: Any = SchemaField(description="The converted value.")
+        error: str = SchemaField(description="Error message if conversion failed.")
 
     def __init__(self):
         super().__init__(
-            id="b924ddf4-de4f-4b56-9a85-358930dcbc91",
-            description="Creates a dictionary with the specified key-value pairs. Use this when you know all the values you want to add upfront.",
-            categories={BlockCategory.DATA},
-            input_schema=CreateDictionaryBlock.Input,
-            output_schema=CreateDictionaryBlock.Output,
-            test_input=[
-                {
-                    "values": {"name": "Alice", "age": 25, "city": "New York"},
-                },
-                {
-                    "values": {"numbers": [1, 2, 3], "active": True, "score": 95.5},
-                },
-            ],
-            test_output=[
-                (
-                    "dictionary",
-                    {"name": "Alice", "age": 25, "city": "New York"},
-                ),
-                (
-                    "dictionary",
-                    {"numbers": [1, 2, 3], "active": True, "score": 95.5},
-                ),
-            ],
+            id="95d1b990-ce13-4d88-9737-ba5c2070c97b",
+            description="This block is used to convert a value to a universal type.",
+            categories={BlockCategory.BASIC},
+            input_schema=UniversalTypeConverterBlock.Input,
+            output_schema=UniversalTypeConverterBlock.Output,
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         try:
-            # The values are already validated by Pydantic schema
-            yield "dictionary", input_data.values
+            converted_value = convert(
+                input_data.value,
+                {
+                    TypeOptions.STRING: str,
+                    TypeOptions.NUMBER: float,
+                    TypeOptions.BOOLEAN: bool,
+                    TypeOptions.LIST: list,
+                    TypeOptions.DICTIONARY: dict,
+                }[input_data.type],
+            )
+            yield "value", converted_value
         except Exception as e:
-            yield "error", f"Failed to create dictionary: {str(e)}"
+            yield "error", f"Failed to convert value: {str(e)}"
 
 
-class CreateListBlock(Block):
+class ReverseListOrderBlock(Block):
+    """
+    A block which takes in a list and returns it in the opposite order.
+    """
+
     class Input(BlockSchema):
-        values: List[Any] = SchemaField(
-            description="A list of values to be combined into a new list.",
-            placeholder="e.g., ['Alice', 25, True]",
-        )
+        input_list: list[Any] = SchemaField(description="The list to reverse")
 
     class Output(BlockSchema):
-        list: List[Any] = SchemaField(
-            description="The created list containing the specified values."
-        )
-        error: str = SchemaField(description="Error message if list creation failed.")
+        reversed_list: list[Any] = SchemaField(description="The list in reversed order")
 
     def __init__(self):
         super().__init__(
-            id="a912d5c7-6e00-4542-b2a9-8034136930e4",
-            description="Creates a list with the specified values. Use this when you know all the values you want to add upfront.",
-            categories={BlockCategory.DATA},
-            input_schema=CreateListBlock.Input,
-            output_schema=CreateListBlock.Output,
-            test_input=[
-                {
-                    "values": ["Alice", 25, True],
-                },
-                {
-                    "values": [1, 2, 3, "four", {"key": "value"}],
-                },
-            ],
-            test_output=[
-                (
-                    "list",
-                    ["Alice", 25, True],
-                ),
-                (
-                    "list",
-                    [1, 2, 3, "four", {"key": "value"}],
-                ),
-            ],
+            id="422cb708-3109-4277-bfe3-bc2ae5812777",
+            description="Reverses the order of elements in a list",
+            categories={BlockCategory.BASIC},
+            input_schema=ReverseListOrderBlock.Input,
+            output_schema=ReverseListOrderBlock.Output,
+            test_input={"input_list": [1, 2, 3, 4, 5]},
+            test_output=[("reversed_list", [5, 4, 3, 2, 1])],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        try:
-            # The values are already validated by Pydantic schema
-            yield "list", input_data.values
-        except Exception as e:
-            yield "error", f"Failed to create list: {str(e)}"
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        reversed_list = list(input_data.input_list)
+        reversed_list.reverse()
+        yield "reversed_list", reversed_list
diff --git a/autogpt_platform/backend/backend/blocks/block.py b/autogpt_platform/backend/backend/blocks/block.py
index 01e8af7238ea..e1745d30552e 100644
--- a/autogpt_platform/backend/backend/blocks/block.py
+++ b/autogpt_platform/backend/backend/blocks/block.py
@@ -38,7 +38,7 @@ def __init__(self):
             disabled=True,
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         code = input_data.code
 
         if search := re.search(r"class (\w+)\(Block\):", code):
@@ -64,7 +64,7 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
 
             from backend.util.test import execute_block_test
 
-            execute_block_test(block)
+            await execute_block_test(block)
             yield "success", "Block installed successfully."
         except Exception as e:
             os.remove(file_path)
diff --git a/autogpt_platform/backend/backend/blocks/branching.py b/autogpt_platform/backend/backend/blocks/branching.py
index daf967bc6a7d..fa66c2d30d5b 100644
--- a/autogpt_platform/backend/backend/blocks/branching.py
+++ b/autogpt_platform/backend/backend/blocks/branching.py
@@ -3,6 +3,7 @@
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
+from backend.util.type import convert
 
 
 class ComparisonOperator(Enum):
@@ -70,7 +71,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         operator = input_data.operator
 
         value1 = input_data.value1
@@ -107,3 +108,99 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
             yield "yes_output", yes_value
         else:
             yield "no_output", no_value
+
+
+class IfInputMatchesBlock(Block):
+    class Input(BlockSchema):
+        input: Any = SchemaField(
+            description="The input to match against",
+            placeholder="For example: 10 or 'hello' or True",
+        )
+        value: Any = SchemaField(
+            description="The value to output if the input matches",
+            placeholder="For example: 'Greater' or 20 or False",
+        )
+        yes_value: Any = SchemaField(
+            description="The value to output if the input matches",
+            placeholder="For example: 'Greater' or 20 or False",
+            default=None,
+        )
+        no_value: Any = SchemaField(
+            description="The value to output if the input does not match",
+            placeholder="For example: 'Greater' or 20 or False",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        result: bool = SchemaField(
+            description="The result of the condition evaluation (True or False)"
+        )
+        yes_output: Any = SchemaField(
+            description="The output value if the condition is true"
+        )
+        no_output: Any = SchemaField(
+            description="The output value if the condition is false"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="6dbbc4b3-ca6c-42b6-b508-da52d23e13f2",
+            input_schema=IfInputMatchesBlock.Input,
+            output_schema=IfInputMatchesBlock.Output,
+            description="Handles conditional logic based on comparison operators",
+            categories={BlockCategory.LOGIC},
+            test_input=[
+                {
+                    "input": 10,
+                    "value": 10,
+                    "yes_value": "Greater",
+                    "no_value": "Not greater",
+                },
+                {
+                    "input": 10,
+                    "value": 20,
+                    "yes_value": "Greater",
+                    "no_value": "Not greater",
+                },
+                {
+                    "input": 10,
+                    "value": "None",
+                    "yes_value": "Yes",
+                    "no_value": "No",
+                },
+            ],
+            test_output=[
+                ("result", True),
+                ("yes_output", "Greater"),
+                ("result", False),
+                ("no_output", "Not greater"),
+                ("result", False),
+                ("no_output", "No"),
+                # ("result", True),
+                # ("yes_output", "Yes"),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+
+        # If input_data.value is not matching input_data.input, convert value to type of input
+        if (
+            input_data.input != input_data.value
+            and input_data.input is not input_data.value
+        ):
+            try:
+                # Only attempt conversion if input is not None and value is not None
+                if input_data.input is not None and input_data.value is not None:
+                    input_type = type(input_data.input)
+                    # Avoid converting if input_type is Any or object
+                    if input_type not in (Any, object):
+                        input_data.value = convert(input_data.value, input_type)
+            except Exception:
+                pass  # If conversion fails, just leave value as is
+
+        if input_data.input == input_data.value:
+            yield "result", True
+            yield "yes_output", input_data.yes_value
+        else:
+            yield "result", False
+            yield "no_output", input_data.no_value
diff --git a/autogpt_platform/backend/backend/blocks/code_executor.py b/autogpt_platform/backend/backend/blocks/code_executor.py
index 4c92f6fb4242..e25231e90e4d 100644
--- a/autogpt_platform/backend/backend/blocks/code_executor.py
+++ b/autogpt_platform/backend/backend/blocks/code_executor.py
@@ -1,7 +1,7 @@
 from enum import Enum
 from typing import Literal
 
-from e2b_code_interpreter import Sandbox
+from e2b_code_interpreter import AsyncSandbox
 from pydantic import SecretStr
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
@@ -55,7 +55,7 @@ class Input(BlockSchema):
                 "These commands are executed with `sh`, in the foreground."
             ),
             placeholder="pip install cowsay",
-            default=[],
+            default_factory=list,
             advanced=False,
         )
 
@@ -123,7 +123,7 @@ def __init__(self):
             },
         )
 
-    def execute_code(
+    async def execute_code(
         self,
         code: str,
         language: ProgrammingLanguage,
@@ -135,21 +135,21 @@ def execute_code(
         try:
             sandbox = None
             if template_id:
-                sandbox = Sandbox(
+                sandbox = await AsyncSandbox.create(
                     template=template_id, api_key=api_key, timeout=timeout
                 )
             else:
-                sandbox = Sandbox(api_key=api_key, timeout=timeout)
+                sandbox = await AsyncSandbox.create(api_key=api_key, timeout=timeout)
 
             if not sandbox:
                 raise Exception("Sandbox not created")
 
             # Running setup commands
             for cmd in setup_commands:
-                sandbox.commands.run(cmd)
+                await sandbox.commands.run(cmd)
 
             # Executing the code
-            execution = sandbox.run_code(
+            execution = await sandbox.run_code(
                 code,
                 language=language.value,
                 on_error=lambda e: sandbox.kill(),  # Kill the sandbox if there is an error
@@ -167,11 +167,11 @@ def execute_code(
         except Exception as e:
             raise e
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            response, stdout_logs, stderr_logs = self.execute_code(
+            response, stdout_logs, stderr_logs = await self.execute_code(
                 input_data.code,
                 input_data.language,
                 input_data.setup_commands,
@@ -188,3 +188,270 @@ def run(
                 yield "stderr_logs", stderr_logs
         except Exception as e:
             yield "error", str(e)
+
+
+class InstantiationBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.E2B], Literal["api_key"]
+        ] = CredentialsField(
+            description="Enter your api key for the E2B Sandbox. You can get it in here - https://e2b.dev/docs",
+        )
+
+        # Todo : Option to run commond in background
+        setup_commands: list[str] = SchemaField(
+            description=(
+                "Shell commands to set up the sandbox before running the code. "
+                "You can use `curl` or `git` to install your desired Debian based "
+                "package manager. `pip` and `npm` are pre-installed.\n\n"
+                "These commands are executed with `sh`, in the foreground."
+            ),
+            placeholder="pip install cowsay",
+            default_factory=list,
+            advanced=False,
+        )
+
+        setup_code: str = SchemaField(
+            description="Code to execute in the sandbox",
+            placeholder="print('Hello, World!')",
+            default="",
+            advanced=False,
+        )
+
+        language: ProgrammingLanguage = SchemaField(
+            description="Programming language to execute",
+            default=ProgrammingLanguage.PYTHON,
+            advanced=False,
+        )
+
+        timeout: int = SchemaField(
+            description="Execution timeout in seconds", default=300
+        )
+
+        template_id: str = SchemaField(
+            description=(
+                "You can use an E2B sandbox template by entering its ID here. "
+                "Check out the E2B docs for more details: "
+                "[E2B - Sandbox template](https://e2b.dev/docs/sandbox-template)"
+            ),
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        sandbox_id: str = SchemaField(description="ID of the sandbox instance")
+        response: str = SchemaField(description="Response from code execution")
+        stdout_logs: str = SchemaField(
+            description="Standard output logs from execution"
+        )
+        stderr_logs: str = SchemaField(description="Standard error logs from execution")
+        error: str = SchemaField(description="Error message if execution failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ff0861c9-1726-4aec-9e5b-bf53f3622112",
+            description="Instantiate an isolated sandbox environment with internet access where to execute code in.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=InstantiationBlock.Input,
+            output_schema=InstantiationBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "setup_code": "print('Hello World')",
+                "language": ProgrammingLanguage.PYTHON.value,
+                "setup_commands": [],
+                "timeout": 300,
+                "template_id": "",
+            },
+            test_output=[
+                ("sandbox_id", str),
+                ("response", "Hello World"),
+                ("stdout_logs", "Hello World\n"),
+            ],
+            test_mock={
+                "execute_code": lambda setup_code, language, setup_commands, timeout, api_key, template_id: (
+                    "sandbox_id",
+                    "Hello World",
+                    "Hello World\n",
+                    "",
+                ),
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            sandbox_id, response, stdout_logs, stderr_logs = await self.execute_code(
+                input_data.setup_code,
+                input_data.language,
+                input_data.setup_commands,
+                input_data.timeout,
+                credentials.api_key.get_secret_value(),
+                input_data.template_id,
+            )
+            if sandbox_id:
+                yield "sandbox_id", sandbox_id
+            else:
+                yield "error", "Sandbox ID not found"
+            if response:
+                yield "response", response
+            if stdout_logs:
+                yield "stdout_logs", stdout_logs
+            if stderr_logs:
+                yield "stderr_logs", stderr_logs
+        except Exception as e:
+            yield "error", str(e)
+
+    async def execute_code(
+        self,
+        code: str,
+        language: ProgrammingLanguage,
+        setup_commands: list[str],
+        timeout: int,
+        api_key: str,
+        template_id: str,
+    ):
+        try:
+            sandbox = None
+            if template_id:
+                sandbox = await AsyncSandbox.create(
+                    template=template_id, api_key=api_key, timeout=timeout
+                )
+            else:
+                sandbox = await AsyncSandbox.create(api_key=api_key, timeout=timeout)
+
+            if not sandbox:
+                raise Exception("Sandbox not created")
+
+            # Running setup commands
+            for cmd in setup_commands:
+                await sandbox.commands.run(cmd)
+
+            # Executing the code
+            execution = await sandbox.run_code(
+                code,
+                language=language.value,
+                on_error=lambda e: sandbox.kill(),  # Kill the sandbox if there is an error
+            )
+
+            if execution.error:
+                raise Exception(execution.error)
+
+            response = execution.text
+            stdout_logs = "".join(execution.logs.stdout)
+            stderr_logs = "".join(execution.logs.stderr)
+
+            return sandbox.sandbox_id, response, stdout_logs, stderr_logs
+
+        except Exception as e:
+            raise e
+
+
+class StepExecutionBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.E2B], Literal["api_key"]
+        ] = CredentialsField(
+            description="Enter your api key for the E2B Sandbox. You can get it in here - https://e2b.dev/docs",
+        )
+
+        sandbox_id: str = SchemaField(
+            description="ID of the sandbox instance to execute the code in",
+            advanced=False,
+        )
+
+        step_code: str = SchemaField(
+            description="Code to execute in the sandbox",
+            placeholder="print('Hello, World!')",
+            default="",
+            advanced=False,
+        )
+
+        language: ProgrammingLanguage = SchemaField(
+            description="Programming language to execute",
+            default=ProgrammingLanguage.PYTHON,
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        response: str = SchemaField(description="Response from code execution")
+        stdout_logs: str = SchemaField(
+            description="Standard output logs from execution"
+        )
+        stderr_logs: str = SchemaField(description="Standard error logs from execution")
+        error: str = SchemaField(description="Error message if execution failed")
+
+    def __init__(self):
+        super().__init__(
+            id="82b59b8e-ea10-4d57-9161-8b169b0adba6",
+            description="Execute code in a previously instantiated sandbox environment.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=StepExecutionBlock.Input,
+            output_schema=StepExecutionBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "sandbox_id": "sandbox_id",
+                "step_code": "print('Hello World')",
+                "language": ProgrammingLanguage.PYTHON.value,
+            },
+            test_output=[
+                ("response", "Hello World"),
+                ("stdout_logs", "Hello World\n"),
+            ],
+            test_mock={
+                "execute_step_code": lambda sandbox_id, step_code, language, api_key: (
+                    "Hello World",
+                    "Hello World\n",
+                    "",
+                ),
+            },
+        )
+
+    async def execute_step_code(
+        self,
+        sandbox_id: str,
+        code: str,
+        language: ProgrammingLanguage,
+        api_key: str,
+    ):
+        try:
+            sandbox = await AsyncSandbox.connect(sandbox_id=sandbox_id, api_key=api_key)
+            if not sandbox:
+                raise Exception("Sandbox not found")
+
+            # Executing the code
+            execution = await sandbox.run_code(code, language=language.value)
+
+            if execution.error:
+                raise Exception(execution.error)
+
+            response = execution.text
+            stdout_logs = "".join(execution.logs.stdout)
+            stderr_logs = "".join(execution.logs.stderr)
+
+            return response, stdout_logs, stderr_logs
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            response, stdout_logs, stderr_logs = await self.execute_step_code(
+                input_data.sandbox_id,
+                input_data.step_code,
+                input_data.language,
+                credentials.api_key.get_secret_value(),
+            )
+
+            if response:
+                yield "response", response
+            if stdout_logs:
+                yield "stdout_logs", stdout_logs
+            if stderr_logs:
+                yield "stderr_logs", stderr_logs
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/code_extraction_block.py b/autogpt_platform/backend/backend/blocks/code_extraction_block.py
index ab1e35aa5dca..33bf225bfdac 100644
--- a/autogpt_platform/backend/backend/blocks/code_extraction_block.py
+++ b/autogpt_platform/backend/backend/blocks/code_extraction_block.py
@@ -49,7 +49,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         # List of supported programming languages with mapped aliases
         language_aliases = {
             "html": ["html", "htm"],
diff --git a/autogpt_platform/backend/backend/blocks/compass/triggers.py b/autogpt_platform/backend/backend/blocks/compass/triggers.py
index c17becd9acbd..6eac52ce536d 100644
--- a/autogpt_platform/backend/backend/blocks/compass/triggers.py
+++ b/autogpt_platform/backend/backend/blocks/compass/triggers.py
@@ -8,6 +8,7 @@
     BlockSchema,
 )
 from backend.data.model import SchemaField
+from backend.integrations.providers import ProviderName
 from backend.integrations.webhooks.compass import CompassWebhookType
 
 
@@ -42,7 +43,7 @@ def __init__(self):
             input_schema=CompassAITriggerBlock.Input,
             output_schema=CompassAITriggerBlock.Output,
             webhook_config=BlockManualWebhookConfig(
-                provider="compass",
+                provider=ProviderName.COMPASS,
                 webhook_type=CompassWebhookType.TRANSCRIPTION,
             ),
             test_input=[
@@ -55,5 +56,5 @@ def __init__(self):
             # ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         yield "transcription", input_data.payload.transcription
diff --git a/autogpt_platform/backend/backend/blocks/count_words_and_char_block.py b/autogpt_platform/backend/backend/blocks/count_words_and_char_block.py
index 13f9e3977941..ddbcf07876cb 100644
--- a/autogpt_platform/backend/backend/blocks/count_words_and_char_block.py
+++ b/autogpt_platform/backend/backend/blocks/count_words_and_char_block.py
@@ -30,7 +30,7 @@ def __init__(self):
             test_output=[("word_count", 4), ("character_count", 19)],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         try:
             text = input_data.text
             word_count = len(text.split())
diff --git a/autogpt_platform/backend/backend/blocks/csv.py b/autogpt_platform/backend/backend/blocks/csv.py
deleted file mode 100644
index e78c8994737a..000000000000
--- a/autogpt_platform/backend/backend/blocks/csv.py
+++ /dev/null
@@ -1,109 +0,0 @@
-from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import ContributorDetails, SchemaField
-
-
-class ReadCsvBlock(Block):
-    class Input(BlockSchema):
-        contents: str = SchemaField(
-            description="The contents of the CSV file to read",
-            placeholder="a, b, c\n1,2,3\n4,5,6",
-        )
-        delimiter: str = SchemaField(
-            description="The delimiter used in the CSV file",
-            default=",",
-        )
-        quotechar: str = SchemaField(
-            description="The character used to quote fields",
-            default='"',
-        )
-        escapechar: str = SchemaField(
-            description="The character used to escape the delimiter",
-            default="\\",
-        )
-        has_header: bool = SchemaField(
-            description="Whether the CSV file has a header row",
-            default=True,
-        )
-        skip_rows: int = SchemaField(
-            description="The number of rows to skip from the start of the file",
-            default=0,
-        )
-        strip: bool = SchemaField(
-            description="Whether to strip whitespace from the values",
-            default=True,
-        )
-        skip_columns: list[str] = SchemaField(
-            description="The columns to skip from the start of the row",
-            default=[],
-        )
-
-    class Output(BlockSchema):
-        row: dict[str, str] = SchemaField(
-            description="The data produced from each row in the CSV file"
-        )
-        all_data: list[dict[str, str]] = SchemaField(
-            description="All the data in the CSV file as a list of rows"
-        )
-
-    def __init__(self):
-        super().__init__(
-            id="acf7625e-d2cb-4941-bfeb-2819fc6fc015",
-            input_schema=ReadCsvBlock.Input,
-            output_schema=ReadCsvBlock.Output,
-            description="Reads a CSV file and outputs the data as a list of dictionaries and individual rows via rows.",
-            contributors=[ContributorDetails(name="Nicholas Tindle")],
-            categories={BlockCategory.TEXT, BlockCategory.DATA},
-            test_input={
-                "contents": "a, b, c\n1,2,3\n4,5,6",
-            },
-            test_output=[
-                ("row", {"a": "1", "b": "2", "c": "3"}),
-                ("row", {"a": "4", "b": "5", "c": "6"}),
-                (
-                    "all_data",
-                    [
-                        {"a": "1", "b": "2", "c": "3"},
-                        {"a": "4", "b": "5", "c": "6"},
-                    ],
-                ),
-            ],
-        )
-
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        import csv
-        from io import StringIO
-
-        csv_file = StringIO(input_data.contents)
-        reader = csv.reader(
-            csv_file,
-            delimiter=input_data.delimiter,
-            quotechar=input_data.quotechar,
-            escapechar=input_data.escapechar,
-        )
-
-        header = None
-        if input_data.has_header:
-            header = next(reader)
-            if input_data.strip:
-                header = [h.strip() for h in header]
-
-        for _ in range(input_data.skip_rows):
-            next(reader)
-
-        def process_row(row):
-            data = {}
-            for i, value in enumerate(row):
-                if i not in input_data.skip_columns:
-                    if input_data.has_header and header:
-                        data[header[i]] = value.strip() if input_data.strip else value
-                    else:
-                        data[str(i)] = value.strip() if input_data.strip else value
-            return data
-
-        all_data = []
-        for row in reader:
-            processed_row = process_row(row)
-            all_data.append(processed_row)
-            yield "row", processed_row
-
-        yield "all_data", all_data
diff --git a/autogpt_platform/backend/backend/blocks/data_manipulation.py b/autogpt_platform/backend/backend/blocks/data_manipulation.py
new file mode 100644
index 000000000000..4b65f77d339e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/data_manipulation.py
@@ -0,0 +1,683 @@
+from typing import Any, List
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.json import loads
+from backend.util.mock import MockObject
+from backend.util.prompt import estimate_token_count_str
+
+# =============================================================================
+# Dictionary Manipulation Blocks
+# =============================================================================
+
+
+class CreateDictionaryBlock(Block):
+    class Input(BlockSchema):
+        values: dict[str, Any] = SchemaField(
+            description="Key-value pairs to create the dictionary with",
+            placeholder="e.g., {'name': 'Alice', 'age': 25}",
+        )
+
+    class Output(BlockSchema):
+        dictionary: dict[str, Any] = SchemaField(
+            description="The created dictionary containing the specified key-value pairs"
+        )
+        error: str = SchemaField(
+            description="Error message if dictionary creation failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="b924ddf4-de4f-4b56-9a85-358930dcbc91",
+            description="Creates a dictionary with the specified key-value pairs. Use this when you know all the values you want to add upfront.",
+            categories={BlockCategory.DATA},
+            input_schema=CreateDictionaryBlock.Input,
+            output_schema=CreateDictionaryBlock.Output,
+            test_input=[
+                {
+                    "values": {"name": "Alice", "age": 25, "city": "New York"},
+                },
+                {
+                    "values": {"numbers": [1, 2, 3], "active": True, "score": 95.5},
+                },
+            ],
+            test_output=[
+                (
+                    "dictionary",
+                    {"name": "Alice", "age": 25, "city": "New York"},
+                ),
+                (
+                    "dictionary",
+                    {"numbers": [1, 2, 3], "active": True, "score": 95.5},
+                ),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            # The values are already validated by Pydantic schema
+            yield "dictionary", input_data.values
+        except Exception as e:
+            yield "error", f"Failed to create dictionary: {str(e)}"
+
+
+class AddToDictionaryBlock(Block):
+    class Input(BlockSchema):
+        dictionary: dict[Any, Any] = SchemaField(
+            default_factory=dict,
+            description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
+        )
+        key: str = SchemaField(
+            default="",
+            description="The key for the new entry.",
+            placeholder="new_key",
+            advanced=False,
+        )
+        value: Any = SchemaField(
+            default=None,
+            description="The value for the new entry.",
+            placeholder="new_value",
+            advanced=False,
+        )
+        entries: dict[Any, Any] = SchemaField(
+            default_factory=dict,
+            description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        updated_dictionary: dict = SchemaField(
+            description="The dictionary with the new entry added."
+        )
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="31d1064e-7446-4693-a7d4-65e5ca1180d1",
+            description="Adds a new key-value pair to a dictionary. If no dictionary is provided, a new one is created.",
+            categories={BlockCategory.BASIC},
+            input_schema=AddToDictionaryBlock.Input,
+            output_schema=AddToDictionaryBlock.Output,
+            test_input=[
+                {
+                    "dictionary": {"existing_key": "existing_value"},
+                    "key": "new_key",
+                    "value": "new_value",
+                },
+                {"key": "first_key", "value": "first_value"},
+                {
+                    "dictionary": {"existing_key": "existing_value"},
+                    "entries": {"new_key": "new_value", "first_key": "first_value"},
+                },
+            ],
+            test_output=[
+                (
+                    "updated_dictionary",
+                    {"existing_key": "existing_value", "new_key": "new_value"},
+                ),
+                ("updated_dictionary", {"first_key": "first_value"}),
+                (
+                    "updated_dictionary",
+                    {
+                        "existing_key": "existing_value",
+                        "new_key": "new_value",
+                        "first_key": "first_value",
+                    },
+                ),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        updated_dict = input_data.dictionary.copy()
+
+        if input_data.value is not None and input_data.key:
+            updated_dict[input_data.key] = input_data.value
+
+        for key, value in input_data.entries.items():
+            updated_dict[key] = value
+
+        yield "updated_dictionary", updated_dict
+
+
+class FindInDictionaryBlock(Block):
+    class Input(BlockSchema):
+        input: Any = SchemaField(description="Dictionary to lookup from")
+        key: str | int = SchemaField(description="Key to lookup in the dictionary")
+
+    class Output(BlockSchema):
+        output: Any = SchemaField(description="Value found for the given key")
+        missing: Any = SchemaField(
+            description="Value of the input that missing the key"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="0e50422c-6dee-4145-83d6-3a5a392f65de",
+            description="Lookup the given key in the input dictionary/object/list and return the value.",
+            input_schema=FindInDictionaryBlock.Input,
+            output_schema=FindInDictionaryBlock.Output,
+            test_input=[
+                {"input": {"apple": 1, "banana": 2, "cherry": 3}, "key": "banana"},
+                {"input": {"x": 10, "y": 20, "z": 30}, "key": "w"},
+                {"input": [1, 2, 3], "key": 1},
+                {"input": [1, 2, 3], "key": 3},
+                {"input": MockObject(value="!!", key="key"), "key": "key"},
+                {"input": [{"k1": "v1"}, {"k2": "v2"}, {"k1": "v3"}], "key": "k1"},
+            ],
+            test_output=[
+                ("output", 2),
+                ("missing", {"x": 10, "y": 20, "z": 30}),
+                ("output", 2),
+                ("missing", [1, 2, 3]),
+                ("output", "key"),
+                ("output", ["v1", "v3"]),
+            ],
+            categories={BlockCategory.BASIC},
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        obj = input_data.input
+        key = input_data.key
+
+        if isinstance(obj, str):
+            obj = loads(obj)
+
+        if isinstance(obj, dict) and key in obj:
+            yield "output", obj[key]
+        elif isinstance(obj, list) and isinstance(key, int) and 0 <= key < len(obj):
+            yield "output", obj[key]
+        elif isinstance(obj, list) and isinstance(key, str):
+            if len(obj) == 0:
+                yield "output", []
+            elif isinstance(obj[0], dict) and key in obj[0]:
+                yield "output", [item[key] for item in obj if key in item]
+            else:
+                yield "output", [getattr(val, key) for val in obj if hasattr(val, key)]
+        elif isinstance(obj, object) and isinstance(key, str) and hasattr(obj, key):
+            yield "output", getattr(obj, key)
+        else:
+            yield "missing", input_data.input
+
+
+class RemoveFromDictionaryBlock(Block):
+    class Input(BlockSchema):
+        dictionary: dict[Any, Any] = SchemaField(
+            description="The dictionary to modify."
+        )
+        key: str | int = SchemaField(description="Key to remove from the dictionary.")
+        return_value: bool = SchemaField(
+            default=False, description="Whether to return the removed value."
+        )
+
+    class Output(BlockSchema):
+        updated_dictionary: dict[Any, Any] = SchemaField(
+            description="The dictionary after removal."
+        )
+        removed_value: Any = SchemaField(description="The removed value if requested.")
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="46afe2ea-c613-43f8-95ff-6692c3ef6876",
+            description="Removes a key-value pair from a dictionary.",
+            categories={BlockCategory.BASIC},
+            input_schema=RemoveFromDictionaryBlock.Input,
+            output_schema=RemoveFromDictionaryBlock.Output,
+            test_input=[
+                {
+                    "dictionary": {"a": 1, "b": 2, "c": 3},
+                    "key": "b",
+                    "return_value": True,
+                },
+                {"dictionary": {"x": "hello", "y": "world"}, "key": "x"},
+            ],
+            test_output=[
+                ("updated_dictionary", {"a": 1, "c": 3}),
+                ("removed_value", 2),
+                ("updated_dictionary", {"y": "world"}),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        updated_dict = input_data.dictionary.copy()
+        try:
+            removed_value = updated_dict.pop(input_data.key)
+            yield "updated_dictionary", updated_dict
+            if input_data.return_value:
+                yield "removed_value", removed_value
+        except KeyError:
+            yield "error", f"Key '{input_data.key}' not found in dictionary"
+
+
+class ReplaceDictionaryValueBlock(Block):
+    class Input(BlockSchema):
+        dictionary: dict[Any, Any] = SchemaField(
+            description="The dictionary to modify."
+        )
+        key: str | int = SchemaField(description="Key to replace the value for.")
+        value: Any = SchemaField(description="The new value for the given key.")
+
+    class Output(BlockSchema):
+        updated_dictionary: dict[Any, Any] = SchemaField(
+            description="The dictionary after replacement."
+        )
+        old_value: Any = SchemaField(description="The value that was replaced.")
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="27e31876-18b6-44f3-ab97-f6226d8b3889",
+            description="Replaces the value for a specified key in a dictionary.",
+            categories={BlockCategory.BASIC},
+            input_schema=ReplaceDictionaryValueBlock.Input,
+            output_schema=ReplaceDictionaryValueBlock.Output,
+            test_input=[
+                {"dictionary": {"a": 1, "b": 2, "c": 3}, "key": "b", "value": 99},
+                {
+                    "dictionary": {"x": "hello", "y": "world"},
+                    "key": "y",
+                    "value": "universe",
+                },
+            ],
+            test_output=[
+                ("updated_dictionary", {"a": 1, "b": 99, "c": 3}),
+                ("old_value", 2),
+                ("updated_dictionary", {"x": "hello", "y": "universe"}),
+                ("old_value", "world"),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        updated_dict = input_data.dictionary.copy()
+        try:
+            old_value = updated_dict[input_data.key]
+            updated_dict[input_data.key] = input_data.value
+            yield "updated_dictionary", updated_dict
+            yield "old_value", old_value
+        except KeyError:
+            yield "error", f"Key '{input_data.key}' not found in dictionary"
+
+
+class DictionaryIsEmptyBlock(Block):
+    class Input(BlockSchema):
+        dictionary: dict[Any, Any] = SchemaField(description="The dictionary to check.")
+
+    class Output(BlockSchema):
+        is_empty: bool = SchemaField(description="True if the dictionary is empty.")
+
+    def __init__(self):
+        super().__init__(
+            id="a3cf3f64-6bb9-4cc6-9900-608a0b3359b0",
+            description="Checks if a dictionary is empty.",
+            categories={BlockCategory.BASIC},
+            input_schema=DictionaryIsEmptyBlock.Input,
+            output_schema=DictionaryIsEmptyBlock.Output,
+            test_input=[{"dictionary": {}}, {"dictionary": {"a": 1}}],
+            test_output=[("is_empty", True), ("is_empty", False)],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "is_empty", len(input_data.dictionary) == 0
+
+
+# =============================================================================
+# List Manipulation Blocks
+# =============================================================================
+
+
+class CreateListBlock(Block):
+    class Input(BlockSchema):
+        values: List[Any] = SchemaField(
+            description="A list of values to be combined into a new list.",
+            placeholder="e.g., ['Alice', 25, True]",
+        )
+        max_size: int | None = SchemaField(
+            default=None,
+            description="Maximum size of the list. If provided, the list will be yielded in chunks of this size.",
+            advanced=True,
+        )
+        max_tokens: int | None = SchemaField(
+            default=None,
+            description="Maximum tokens for the list. If provided, the list will be yielded in chunks that fit within this token limit.",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        list: List[Any] = SchemaField(
+            description="The created list containing the specified values."
+        )
+        error: str = SchemaField(description="Error message if list creation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="a912d5c7-6e00-4542-b2a9-8034136930e4",
+            description="Creates a list with the specified values. Use this when you know all the values you want to add upfront. This block can also yield the list in batches based on a maximum size or token limit.",
+            categories={BlockCategory.DATA},
+            input_schema=CreateListBlock.Input,
+            output_schema=CreateListBlock.Output,
+            test_input=[
+                {
+                    "values": ["Alice", 25, True],
+                },
+                {
+                    "values": [1, 2, 3, "four", {"key": "value"}],
+                },
+            ],
+            test_output=[
+                (
+                    "list",
+                    ["Alice", 25, True],
+                ),
+                (
+                    "list",
+                    [1, 2, 3, "four", {"key": "value"}],
+                ),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        chunk = []
+        cur_tokens, max_tokens = 0, input_data.max_tokens
+        cur_size, max_size = 0, input_data.max_size
+
+        for value in input_data.values:
+            if max_tokens:
+                tokens = estimate_token_count_str(value)
+            else:
+                tokens = 0
+
+            # Check if adding this value would exceed either limit
+            if (max_tokens and (cur_tokens + tokens > max_tokens)) or (
+                max_size and (cur_size + 1 > max_size)
+            ):
+                yield "list", chunk
+                chunk = [value]
+                cur_size, cur_tokens = 1, tokens
+            else:
+                chunk.append(value)
+                cur_size, cur_tokens = cur_size + 1, cur_tokens + tokens
+
+        # Yield final chunk if any
+        if chunk or not input_data.values:
+            yield "list", chunk
+
+
+class AddToListBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(
+            default_factory=list,
+            advanced=False,
+            description="The list to add the entry to. If not provided, a new list will be created.",
+        )
+        entry: Any = SchemaField(
+            description="The entry to add to the list. Can be of any type (string, int, dict, etc.).",
+            advanced=False,
+            default=None,
+        )
+        entries: List[Any] = SchemaField(
+            default_factory=lambda: list(),
+            description="The entries to add to the list. This is the batch version of the `entry` field.",
+            advanced=True,
+        )
+        position: int | None = SchemaField(
+            default=None,
+            description="The position to insert the new entry. If not provided, the entry will be appended to the end of the list.",
+        )
+
+    class Output(BlockSchema):
+        updated_list: List[Any] = SchemaField(
+            description="The list with the new entry added."
+        )
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="aeb08fc1-2fc1-4141-bc8e-f758f183a822",
+            description="Adds a new entry to a list. The entry can be of any type. If no list is provided, a new one is created.",
+            categories={BlockCategory.BASIC},
+            input_schema=AddToListBlock.Input,
+            output_schema=AddToListBlock.Output,
+            test_input=[
+                {
+                    "list": [1, "string", {"existing_key": "existing_value"}],
+                    "entry": {"new_key": "new_value"},
+                    "position": 1,
+                },
+                {"entry": "first_entry"},
+                {"list": ["a", "b", "c"], "entry": "d"},
+                {
+                    "entry": "e",
+                    "entries": ["f", "g"],
+                    "list": ["a", "b"],
+                    "position": 1,
+                },
+            ],
+            test_output=[
+                (
+                    "updated_list",
+                    [
+                        1,
+                        {"new_key": "new_value"},
+                        "string",
+                        {"existing_key": "existing_value"},
+                    ],
+                ),
+                ("updated_list", ["first_entry"]),
+                ("updated_list", ["a", "b", "c", "d"]),
+                ("updated_list", ["a", "f", "g", "e", "b"]),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        entries_added = input_data.entries.copy()
+        if input_data.entry:
+            entries_added.append(input_data.entry)
+
+        updated_list = input_data.list.copy()
+        if (pos := input_data.position) is not None:
+            updated_list = updated_list[:pos] + entries_added + updated_list[pos:]
+        else:
+            updated_list += entries_added
+
+        yield "updated_list", updated_list
+
+
+class FindInListBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(description="The list to search in.")
+        value: Any = SchemaField(description="The value to search for.")
+
+    class Output(BlockSchema):
+        index: int = SchemaField(description="The index of the value in the list.")
+        found: bool = SchemaField(
+            description="Whether the value was found in the list."
+        )
+        not_found_value: Any = SchemaField(
+            description="The value that was not found in the list."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="5e2c6d0a-1e37-489f-b1d0-8e1812b23333",
+            description="Finds the index of the value in the list.",
+            categories={BlockCategory.BASIC},
+            input_schema=FindInListBlock.Input,
+            output_schema=FindInListBlock.Output,
+            test_input=[
+                {"list": [1, 2, 3, 4, 5], "value": 3},
+                {"list": [1, 2, 3, 4, 5], "value": 6},
+            ],
+            test_output=[
+                ("index", 2),
+                ("found", True),
+                ("found", False),
+                ("not_found_value", 6),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            yield "index", input_data.list.index(input_data.value)
+            yield "found", True
+        except ValueError:
+            yield "found", False
+            yield "not_found_value", input_data.value
+
+
+class GetListItemBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(description="The list to get the item from.")
+        index: int = SchemaField(
+            description="The 0-based index of the item (supports negative indices)."
+        )
+
+    class Output(BlockSchema):
+        item: Any = SchemaField(description="The item at the specified index.")
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="262ca24c-1025-43cf-a578-534e23234e97",
+            description="Returns the element at the given index.",
+            categories={BlockCategory.BASIC},
+            input_schema=GetListItemBlock.Input,
+            output_schema=GetListItemBlock.Output,
+            test_input=[
+                {"list": [1, 2, 3], "index": 1},
+                {"list": [1, 2, 3], "index": -1},
+            ],
+            test_output=[
+                ("item", 2),
+                ("item", 3),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            yield "item", input_data.list[input_data.index]
+        except IndexError:
+            yield "error", "Index out of range"
+
+
+class RemoveFromListBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(description="The list to modify.")
+        value: Any = SchemaField(
+            default=None, description="Value to remove from the list."
+        )
+        index: int | None = SchemaField(
+            default=None,
+            description="Index of the item to pop (supports negative indices).",
+        )
+        return_item: bool = SchemaField(
+            default=False, description="Whether to return the removed item."
+        )
+
+    class Output(BlockSchema):
+        updated_list: List[Any] = SchemaField(description="The list after removal.")
+        removed_item: Any = SchemaField(description="The removed item if requested.")
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="d93c5a93-ac7e-41c1-ae5c-ef67e6e9b826",
+            description="Removes an item from a list by value or index.",
+            categories={BlockCategory.BASIC},
+            input_schema=RemoveFromListBlock.Input,
+            output_schema=RemoveFromListBlock.Output,
+            test_input=[
+                {"list": [1, 2, 3], "index": 1, "return_item": True},
+                {"list": ["a", "b", "c"], "value": "b"},
+            ],
+            test_output=[
+                ("updated_list", [1, 3]),
+                ("removed_item", 2),
+                ("updated_list", ["a", "c"]),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        lst = input_data.list.copy()
+        removed = None
+        try:
+            if input_data.index is not None:
+                removed = lst.pop(input_data.index)
+            elif input_data.value is not None:
+                lst.remove(input_data.value)
+                removed = input_data.value
+            else:
+                raise ValueError("No index or value provided for removal")
+        except (IndexError, ValueError):
+            yield "error", "Index or value not found"
+            return
+
+        yield "updated_list", lst
+        if input_data.return_item:
+            yield "removed_item", removed
+
+
+class ReplaceListItemBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(description="The list to modify.")
+        index: int = SchemaField(
+            description="Index of the item to replace (supports negative indices)."
+        )
+        value: Any = SchemaField(description="The new value for the given index.")
+
+    class Output(BlockSchema):
+        updated_list: List[Any] = SchemaField(description="The list after replacement.")
+        old_item: Any = SchemaField(description="The item that was replaced.")
+        error: str = SchemaField(description="Error message if the operation failed.")
+
+    def __init__(self):
+        super().__init__(
+            id="fbf62922-bea1-4a3d-8bac-23587f810b38",
+            description="Replaces an item at the specified index.",
+            categories={BlockCategory.BASIC},
+            input_schema=ReplaceListItemBlock.Input,
+            output_schema=ReplaceListItemBlock.Output,
+            test_input=[
+                {"list": [1, 2, 3], "index": 1, "value": 99},
+                {"list": ["a", "b"], "index": -1, "value": "c"},
+            ],
+            test_output=[
+                ("updated_list", [1, 99, 3]),
+                ("old_item", 2),
+                ("updated_list", ["a", "c"]),
+                ("old_item", "b"),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        lst = input_data.list.copy()
+        try:
+            old = lst[input_data.index]
+            lst[input_data.index] = input_data.value
+        except IndexError:
+            yield "error", "Index out of range"
+            return
+
+        yield "updated_list", lst
+        yield "old_item", old
+
+
+class ListIsEmptyBlock(Block):
+    class Input(BlockSchema):
+        list: List[Any] = SchemaField(description="The list to check.")
+
+    class Output(BlockSchema):
+        is_empty: bool = SchemaField(description="True if the list is empty.")
+
+    def __init__(self):
+        super().__init__(
+            id="896ed73b-27d0-41be-813c-c1c1dc856c03",
+            description="Checks if a list is empty.",
+            categories={BlockCategory.BASIC},
+            input_schema=ListIsEmptyBlock.Input,
+            output_schema=ListIsEmptyBlock.Output,
+            test_input=[{"list": []}, {"list": [1]}],
+            test_output=[("is_empty", True), ("is_empty", False)],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "is_empty", len(input_data.list) == 0
diff --git a/autogpt_platform/backend/backend/blocks/dataforseo/__init__.py b/autogpt_platform/backend/backend/blocks/dataforseo/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/blocks/dataforseo/_api.py b/autogpt_platform/backend/backend/blocks/dataforseo/_api.py
new file mode 100644
index 000000000000..025b322e4810
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/dataforseo/_api.py
@@ -0,0 +1,178 @@
+"""
+DataForSEO API client with async support using the SDK patterns.
+"""
+
+import base64
+from typing import Any, Dict, List, Optional
+
+from backend.sdk import Requests, UserPasswordCredentials
+
+
+class DataForSeoClient:
+    """Client for the DataForSEO API using async requests."""
+
+    API_URL = "https://api.dataforseo.com"
+
+    def __init__(self, credentials: UserPasswordCredentials):
+        self.credentials = credentials
+        self.requests = Requests(
+            trusted_origins=["https://api.dataforseo.com"],
+            raise_for_status=False,
+        )
+
+    def _get_headers(self) -> Dict[str, str]:
+        """Generate the authorization header using Basic Auth."""
+        username = self.credentials.username.get_secret_value()
+        password = self.credentials.password.get_secret_value()
+        credentials_str = f"{username}:{password}"
+        encoded = base64.b64encode(credentials_str.encode("ascii")).decode("ascii")
+        return {
+            "Authorization": f"Basic {encoded}",
+            "Content-Type": "application/json",
+        }
+
+    async def keyword_suggestions(
+        self,
+        keyword: str,
+        location_code: Optional[int] = None,
+        language_code: Optional[str] = None,
+        include_seed_keyword: bool = True,
+        include_serp_info: bool = False,
+        include_clickstream_data: bool = False,
+        limit: int = 100,
+    ) -> List[Dict[str, Any]]:
+        """
+        Get keyword suggestions from DataForSEO Labs.
+
+        Args:
+            keyword: Seed keyword
+            location_code: Location code for targeting
+            language_code: Language code (e.g., "en")
+            include_seed_keyword: Include seed keyword in results
+            include_serp_info: Include SERP data
+            include_clickstream_data: Include clickstream metrics
+            limit: Maximum number of results (up to 3000)
+
+        Returns:
+            API response with keyword suggestions
+        """
+        endpoint = f"{self.API_URL}/v3/dataforseo_labs/google/keyword_suggestions/live"
+
+        # Build payload only with non-None values to avoid sending null fields
+        task_data: dict[str, Any] = {
+            "keyword": keyword,
+        }
+
+        if location_code is not None:
+            task_data["location_code"] = location_code
+        if language_code is not None:
+            task_data["language_code"] = language_code
+        if include_seed_keyword is not None:
+            task_data["include_seed_keyword"] = include_seed_keyword
+        if include_serp_info is not None:
+            task_data["include_serp_info"] = include_serp_info
+        if include_clickstream_data is not None:
+            task_data["include_clickstream_data"] = include_clickstream_data
+        if limit is not None:
+            task_data["limit"] = limit
+
+        payload = [task_data]
+
+        response = await self.requests.post(
+            endpoint,
+            headers=self._get_headers(),
+            json=payload,
+        )
+
+        data = response.json()
+
+        # Check for API errors
+        if response.status != 200:
+            error_message = data.get("status_message", "Unknown error")
+            raise Exception(
+                f"DataForSEO API error ({response.status}): {error_message}"
+            )
+
+        # Extract the results from the response
+        if data.get("tasks") and len(data["tasks"]) > 0:
+            task = data["tasks"][0]
+            if task.get("status_code") == 20000:  # Success code
+                return task.get("result", [])
+            else:
+                error_msg = task.get("status_message", "Task failed")
+                raise Exception(f"DataForSEO task error: {error_msg}")
+
+        return []
+
+    async def related_keywords(
+        self,
+        keyword: str,
+        location_code: Optional[int] = None,
+        language_code: Optional[str] = None,
+        include_seed_keyword: bool = True,
+        include_serp_info: bool = False,
+        include_clickstream_data: bool = False,
+        limit: int = 100,
+    ) -> List[Dict[str, Any]]:
+        """
+        Get related keywords from DataForSEO Labs.
+
+        Args:
+            keyword: Seed keyword
+            location_code: Location code for targeting
+            language_code: Language code (e.g., "en")
+            include_seed_keyword: Include seed keyword in results
+            include_serp_info: Include SERP data
+            include_clickstream_data: Include clickstream metrics
+            limit: Maximum number of results (up to 3000)
+
+        Returns:
+            API response with related keywords
+        """
+        endpoint = f"{self.API_URL}/v3/dataforseo_labs/google/related_keywords/live"
+
+        # Build payload only with non-None values to avoid sending null fields
+        task_data: dict[str, Any] = {
+            "keyword": keyword,
+        }
+
+        if location_code is not None:
+            task_data["location_code"] = location_code
+        if language_code is not None:
+            task_data["language_code"] = language_code
+        if include_seed_keyword is not None:
+            task_data["include_seed_keyword"] = include_seed_keyword
+        if include_serp_info is not None:
+            task_data["include_serp_info"] = include_serp_info
+        if include_clickstream_data is not None:
+            task_data["include_clickstream_data"] = include_clickstream_data
+        if limit is not None:
+            task_data["limit"] = limit
+
+        payload = [task_data]
+
+        response = await self.requests.post(
+            endpoint,
+            headers=self._get_headers(),
+            json=payload,
+        )
+
+        data = response.json()
+
+        # Check for API errors
+        if response.status != 200:
+            error_message = data.get("status_message", "Unknown error")
+            raise Exception(
+                f"DataForSEO API error ({response.status}): {error_message}"
+            )
+
+        # Extract the results from the response
+        if data.get("tasks") and len(data["tasks"]) > 0:
+            task = data["tasks"][0]
+            if task.get("status_code") == 20000:  # Success code
+                return task.get("result", [])
+            else:
+                error_msg = task.get("status_message", "Task failed")
+                raise Exception(f"DataForSEO task error: {error_msg}")
+
+        return []
diff --git a/autogpt_platform/backend/backend/blocks/dataforseo/_config.py b/autogpt_platform/backend/backend/blocks/dataforseo/_config.py
new file mode 100644
index 000000000000..10b2b91130c2
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/dataforseo/_config.py
@@ -0,0 +1,17 @@
+"""
+Configuration for all DataForSEO blocks using the new SDK pattern.
+"""
+
+from backend.sdk import BlockCostType, ProviderBuilder
+
+# Build the DataForSEO provider with username/password authentication
+dataforseo = (
+    ProviderBuilder("dataforseo")
+    .with_user_password(
+        username_env_var="DATAFORSEO_USERNAME",
+        password_env_var="DATAFORSEO_PASSWORD",
+        title="DataForSEO Credentials",
+    )
+    .with_base_cost(1, BlockCostType.RUN)
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/dataforseo/keyword_suggestions.py b/autogpt_platform/backend/backend/blocks/dataforseo/keyword_suggestions.py
new file mode 100644
index 000000000000..ac36215bc72e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/dataforseo/keyword_suggestions.py
@@ -0,0 +1,273 @@
+"""
+DataForSEO Google Keyword Suggestions block.
+"""
+
+from typing import Any, Dict, List, Optional
+
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+    UserPasswordCredentials,
+)
+
+from ._api import DataForSeoClient
+from ._config import dataforseo
+
+
+class KeywordSuggestion(BlockSchema):
+    """Schema for a keyword suggestion result."""
+
+    keyword: str = SchemaField(description="The keyword suggestion")
+    search_volume: Optional[int] = SchemaField(
+        description="Monthly search volume", default=None
+    )
+    competition: Optional[float] = SchemaField(
+        description="Competition level (0-1)", default=None
+    )
+    cpc: Optional[float] = SchemaField(
+        description="Cost per click in USD", default=None
+    )
+    keyword_difficulty: Optional[int] = SchemaField(
+        description="Keyword difficulty score", default=None
+    )
+    serp_info: Optional[Dict[str, Any]] = SchemaField(
+        description="data from SERP for each keyword", default=None
+    )
+    clickstream_data: Optional[Dict[str, Any]] = SchemaField(
+        description="Clickstream data metrics", default=None
+    )
+
+
+class DataForSeoKeywordSuggestionsBlock(Block):
+    """Block for getting keyword suggestions from DataForSEO Labs."""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = dataforseo.credentials_field(
+            description="DataForSEO credentials (username and password)"
+        )
+        keyword: str = SchemaField(description="Seed keyword to get suggestions for")
+        location_code: Optional[int] = SchemaField(
+            description="Location code for targeting (e.g., 2840 for USA)",
+            default=2840,  # USA
+        )
+        language_code: Optional[str] = SchemaField(
+            description="Language code (e.g., 'en' for English)",
+            default="en",
+        )
+        include_seed_keyword: bool = SchemaField(
+            description="Include the seed keyword in results",
+            default=True,
+        )
+        include_serp_info: bool = SchemaField(
+            description="Include SERP information",
+            default=False,
+        )
+        include_clickstream_data: bool = SchemaField(
+            description="Include clickstream metrics",
+            default=False,
+        )
+        limit: int = SchemaField(
+            description="Maximum number of results (up to 3000)",
+            default=100,
+            ge=1,
+            le=3000,
+        )
+
+    class Output(BlockSchema):
+        suggestions: List[KeywordSuggestion] = SchemaField(
+            description="List of keyword suggestions with metrics"
+        )
+        suggestion: KeywordSuggestion = SchemaField(
+            description="A single keyword suggestion with metrics"
+        )
+        total_count: int = SchemaField(
+            description="Total number of suggestions returned"
+        )
+        seed_keyword: str = SchemaField(
+            description="The seed keyword used for the query"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="73c3e7c4-2b3f-4e9f-9e3e-8f7a5c3e2d45",
+            description="Get keyword suggestions from DataForSEO Labs Google API",
+            categories={BlockCategory.SEARCH, BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+            test_input={
+                "credentials": dataforseo.get_test_credentials().model_dump(),
+                "keyword": "digital marketing",
+                "location_code": 2840,
+                "language_code": "en",
+                "limit": 1,
+            },
+            test_credentials=dataforseo.get_test_credentials(),
+            test_output=[
+                (
+                    "suggestion",
+                    lambda x: hasattr(x, "keyword")
+                    and x.keyword == "digital marketing strategy",
+                ),
+                ("suggestions", lambda x: isinstance(x, list) and len(x) == 1),
+                ("total_count", 1),
+                ("seed_keyword", "digital marketing"),
+            ],
+            test_mock={
+                "_fetch_keyword_suggestions": lambda *args, **kwargs: [
+                    {
+                        "items": [
+                            {
+                                "keyword": "digital marketing strategy",
+                                "keyword_info": {
+                                    "search_volume": 10000,
+                                    "competition": 0.5,
+                                    "cpc": 2.5,
+                                },
+                                "keyword_properties": {
+                                    "keyword_difficulty": 50,
+                                },
+                            }
+                        ]
+                    }
+                ]
+            },
+        )
+
+    async def _fetch_keyword_suggestions(
+        self,
+        client: DataForSeoClient,
+        input_data: Input,
+    ) -> Any:
+        """Private method to fetch keyword suggestions - can be mocked for testing."""
+        return await client.keyword_suggestions(
+            keyword=input_data.keyword,
+            location_code=input_data.location_code,
+            language_code=input_data.language_code,
+            include_seed_keyword=input_data.include_seed_keyword,
+            include_serp_info=input_data.include_serp_info,
+            include_clickstream_data=input_data.include_clickstream_data,
+            limit=input_data.limit,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: UserPasswordCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        """Execute the keyword suggestions query."""
+        client = DataForSeoClient(credentials)
+
+        results = await self._fetch_keyword_suggestions(client, input_data)
+
+        # Process and format the results
+        suggestions = []
+        if results and len(results) > 0:
+            # results is a list, get the first element
+            first_result = results[0] if isinstance(results, list) else results
+            items = (
+                first_result.get("items", []) if isinstance(first_result, dict) else []
+            )
+            for item in items:
+                # Create the KeywordSuggestion object
+                suggestion = KeywordSuggestion(
+                    keyword=item.get("keyword", ""),
+                    search_volume=item.get("keyword_info", {}).get("search_volume"),
+                    competition=item.get("keyword_info", {}).get("competition"),
+                    cpc=item.get("keyword_info", {}).get("cpc"),
+                    keyword_difficulty=item.get("keyword_properties", {}).get(
+                        "keyword_difficulty"
+                    ),
+                    serp_info=(
+                        item.get("serp_info") if input_data.include_serp_info else None
+                    ),
+                    clickstream_data=(
+                        item.get("clickstream_keyword_info")
+                        if input_data.include_clickstream_data
+                        else None
+                    ),
+                )
+                yield "suggestion", suggestion
+                suggestions.append(suggestion)
+
+        yield "suggestions", suggestions
+        yield "total_count", len(suggestions)
+        yield "seed_keyword", input_data.keyword
+
+
+class KeywordSuggestionExtractorBlock(Block):
+    """Extracts individual fields from a KeywordSuggestion object."""
+
+    class Input(BlockSchema):
+        suggestion: KeywordSuggestion = SchemaField(
+            description="The keyword suggestion object to extract fields from"
+        )
+
+    class Output(BlockSchema):
+        keyword: str = SchemaField(description="The keyword suggestion")
+        search_volume: Optional[int] = SchemaField(
+            description="Monthly search volume", default=None
+        )
+        competition: Optional[float] = SchemaField(
+            description="Competition level (0-1)", default=None
+        )
+        cpc: Optional[float] = SchemaField(
+            description="Cost per click in USD", default=None
+        )
+        keyword_difficulty: Optional[int] = SchemaField(
+            description="Keyword difficulty score", default=None
+        )
+        serp_info: Optional[Dict[str, Any]] = SchemaField(
+            description="data from SERP for each keyword", default=None
+        )
+        clickstream_data: Optional[Dict[str, Any]] = SchemaField(
+            description="Clickstream data metrics", default=None
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="4193cb94-677c-48b0-9eec-6ac72fffd0f2",
+            description="Extract individual fields from a KeywordSuggestion object",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+            test_input={
+                "suggestion": KeywordSuggestion(
+                    keyword="test keyword",
+                    search_volume=1000,
+                    competition=0.5,
+                    cpc=2.5,
+                    keyword_difficulty=60,
+                ).model_dump()
+            },
+            test_output=[
+                ("keyword", "test keyword"),
+                ("search_volume", 1000),
+                ("competition", 0.5),
+                ("cpc", 2.5),
+                ("keyword_difficulty", 60),
+                ("serp_info", None),
+                ("clickstream_data", None),
+            ],
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        **kwargs,
+    ) -> BlockOutput:
+        """Extract fields from the KeywordSuggestion object."""
+        suggestion = input_data.suggestion
+
+        yield "keyword", suggestion.keyword
+        yield "search_volume", suggestion.search_volume
+        yield "competition", suggestion.competition
+        yield "cpc", suggestion.cpc
+        yield "keyword_difficulty", suggestion.keyword_difficulty
+        yield "serp_info", suggestion.serp_info
+        yield "clickstream_data", suggestion.clickstream_data
diff --git a/autogpt_platform/backend/backend/blocks/dataforseo/related_keywords.py b/autogpt_platform/backend/backend/blocks/dataforseo/related_keywords.py
new file mode 100644
index 000000000000..ae0ecf93e386
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/dataforseo/related_keywords.py
@@ -0,0 +1,283 @@
+"""
+DataForSEO Google Related Keywords block.
+"""
+
+from typing import Any, Dict, List, Optional
+
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+    UserPasswordCredentials,
+)
+
+from ._api import DataForSeoClient
+from ._config import dataforseo
+
+
+class RelatedKeyword(BlockSchema):
+    """Schema for a related keyword result."""
+
+    keyword: str = SchemaField(description="The related keyword")
+    search_volume: Optional[int] = SchemaField(
+        description="Monthly search volume", default=None
+    )
+    competition: Optional[float] = SchemaField(
+        description="Competition level (0-1)", default=None
+    )
+    cpc: Optional[float] = SchemaField(
+        description="Cost per click in USD", default=None
+    )
+    keyword_difficulty: Optional[int] = SchemaField(
+        description="Keyword difficulty score", default=None
+    )
+    serp_info: Optional[Dict[str, Any]] = SchemaField(
+        description="SERP data for the keyword", default=None
+    )
+    clickstream_data: Optional[Dict[str, Any]] = SchemaField(
+        description="Clickstream data metrics", default=None
+    )
+
+
+class DataForSeoRelatedKeywordsBlock(Block):
+    """Block for getting related keywords from DataForSEO Labs."""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = dataforseo.credentials_field(
+            description="DataForSEO credentials (username and password)"
+        )
+        keyword: str = SchemaField(
+            description="Seed keyword to find related keywords for"
+        )
+        location_code: Optional[int] = SchemaField(
+            description="Location code for targeting (e.g., 2840 for USA)",
+            default=2840,  # USA
+        )
+        language_code: Optional[str] = SchemaField(
+            description="Language code (e.g., 'en' for English)",
+            default="en",
+        )
+        include_seed_keyword: bool = SchemaField(
+            description="Include the seed keyword in results",
+            default=True,
+        )
+        include_serp_info: bool = SchemaField(
+            description="Include SERP information",
+            default=False,
+        )
+        include_clickstream_data: bool = SchemaField(
+            description="Include clickstream metrics",
+            default=False,
+        )
+        limit: int = SchemaField(
+            description="Maximum number of results (up to 3000)",
+            default=100,
+            ge=1,
+            le=3000,
+        )
+
+    class Output(BlockSchema):
+        related_keywords: List[RelatedKeyword] = SchemaField(
+            description="List of related keywords with metrics"
+        )
+        related_keyword: RelatedKeyword = SchemaField(
+            description="A related keyword with metrics"
+        )
+        total_count: int = SchemaField(
+            description="Total number of related keywords returned"
+        )
+        seed_keyword: str = SchemaField(
+            description="The seed keyword used for the query"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="8f2e4d6a-1b3c-4a5e-9d7f-2c8e6a4b3f1d",
+            description="Get related keywords from DataForSEO Labs Google API",
+            categories={BlockCategory.SEARCH, BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+            test_input={
+                "credentials": dataforseo.get_test_credentials().model_dump(),
+                "keyword": "content marketing",
+                "location_code": 2840,
+                "language_code": "en",
+                "limit": 1,
+            },
+            test_credentials=dataforseo.get_test_credentials(),
+            test_output=[
+                (
+                    "related_keyword",
+                    lambda x: hasattr(x, "keyword") and x.keyword == "content strategy",
+                ),
+                ("related_keywords", lambda x: isinstance(x, list) and len(x) == 1),
+                ("total_count", 1),
+                ("seed_keyword", "content marketing"),
+            ],
+            test_mock={
+                "_fetch_related_keywords": lambda *args, **kwargs: [
+                    {
+                        "items": [
+                            {
+                                "keyword_data": {
+                                    "keyword": "content strategy",
+                                    "keyword_info": {
+                                        "search_volume": 8000,
+                                        "competition": 0.4,
+                                        "cpc": 3.0,
+                                    },
+                                    "keyword_properties": {
+                                        "keyword_difficulty": 45,
+                                    },
+                                }
+                            }
+                        ]
+                    }
+                ]
+            },
+        )
+
+    async def _fetch_related_keywords(
+        self,
+        client: DataForSeoClient,
+        input_data: Input,
+    ) -> Any:
+        """Private method to fetch related keywords - can be mocked for testing."""
+        return await client.related_keywords(
+            keyword=input_data.keyword,
+            location_code=input_data.location_code,
+            language_code=input_data.language_code,
+            include_seed_keyword=input_data.include_seed_keyword,
+            include_serp_info=input_data.include_serp_info,
+            include_clickstream_data=input_data.include_clickstream_data,
+            limit=input_data.limit,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: UserPasswordCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        """Execute the related keywords query."""
+        client = DataForSeoClient(credentials)
+
+        results = await self._fetch_related_keywords(client, input_data)
+
+        # Process and format the results
+        related_keywords = []
+        if results and len(results) > 0:
+            # results is a list, get the first element
+            first_result = results[0] if isinstance(results, list) else results
+            items = (
+                first_result.get("items", []) if isinstance(first_result, dict) else []
+            )
+            for item in items:
+                # Extract keyword_data from the item
+                keyword_data = item.get("keyword_data", {})
+
+                # Create the RelatedKeyword object
+                keyword = RelatedKeyword(
+                    keyword=keyword_data.get("keyword", ""),
+                    search_volume=keyword_data.get("keyword_info", {}).get(
+                        "search_volume"
+                    ),
+                    competition=keyword_data.get("keyword_info", {}).get("competition"),
+                    cpc=keyword_data.get("keyword_info", {}).get("cpc"),
+                    keyword_difficulty=keyword_data.get("keyword_properties", {}).get(
+                        "keyword_difficulty"
+                    ),
+                    serp_info=(
+                        keyword_data.get("serp_info")
+                        if input_data.include_serp_info
+                        else None
+                    ),
+                    clickstream_data=(
+                        keyword_data.get("clickstream_keyword_info")
+                        if input_data.include_clickstream_data
+                        else None
+                    ),
+                )
+                yield "related_keyword", keyword
+                related_keywords.append(keyword)
+
+        yield "related_keywords", related_keywords
+        yield "total_count", len(related_keywords)
+        yield "seed_keyword", input_data.keyword
+
+
+class RelatedKeywordExtractorBlock(Block):
+    """Extracts individual fields from a RelatedKeyword object."""
+
+    class Input(BlockSchema):
+        related_keyword: RelatedKeyword = SchemaField(
+            description="The related keyword object to extract fields from"
+        )
+
+    class Output(BlockSchema):
+        keyword: str = SchemaField(description="The related keyword")
+        search_volume: Optional[int] = SchemaField(
+            description="Monthly search volume", default=None
+        )
+        competition: Optional[float] = SchemaField(
+            description="Competition level (0-1)", default=None
+        )
+        cpc: Optional[float] = SchemaField(
+            description="Cost per click in USD", default=None
+        )
+        keyword_difficulty: Optional[int] = SchemaField(
+            description="Keyword difficulty score", default=None
+        )
+        serp_info: Optional[Dict[str, Any]] = SchemaField(
+            description="SERP data for the keyword", default=None
+        )
+        clickstream_data: Optional[Dict[str, Any]] = SchemaField(
+            description="Clickstream data metrics", default=None
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="98342061-09d2-4952-bf77-0761fc8cc9a8",
+            description="Extract individual fields from a RelatedKeyword object",
+            categories={BlockCategory.DATA},
+            input_schema=self.Input,
+            output_schema=self.Output,
+            test_input={
+                "related_keyword": RelatedKeyword(
+                    keyword="test related keyword",
+                    search_volume=800,
+                    competition=0.4,
+                    cpc=3.0,
+                    keyword_difficulty=55,
+                ).model_dump()
+            },
+            test_output=[
+                ("keyword", "test related keyword"),
+                ("search_volume", 800),
+                ("competition", 0.4),
+                ("cpc", 3.0),
+                ("keyword_difficulty", 55),
+                ("serp_info", None),
+                ("clickstream_data", None),
+            ],
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        **kwargs,
+    ) -> BlockOutput:
+        """Extract fields from the RelatedKeyword object."""
+        related_keyword = input_data.related_keyword
+
+        yield "keyword", related_keyword.keyword
+        yield "search_volume", related_keyword.search_volume
+        yield "competition", related_keyword.competition
+        yield "cpc", related_keyword.cpc
+        yield "keyword_difficulty", related_keyword.keyword_difficulty
+        yield "serp_info", related_keyword.serp_info
+        yield "clickstream_data", related_keyword.clickstream_data
diff --git a/autogpt_platform/backend/backend/blocks/decoder_block.py b/autogpt_platform/backend/backend/blocks/decoder_block.py
index 033cdfb0b355..754d79b0688a 100644
--- a/autogpt_platform/backend/backend/blocks/decoder_block.py
+++ b/autogpt_platform/backend/backend/blocks/decoder_block.py
@@ -34,6 +34,6 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         decoded_text = codecs.decode(input_data.text, "unicode_escape")
         yield "decoded_text", decoded_text
diff --git a/autogpt_platform/backend/backend/blocks/discord.py b/autogpt_platform/backend/backend/blocks/discord.py
deleted file mode 100644
index 08ba8af074cd..000000000000
--- a/autogpt_platform/backend/backend/blocks/discord.py
+++ /dev/null
@@ -1,254 +0,0 @@
-import asyncio
-from typing import Literal
-
-import aiohttp
-import discord
-from pydantic import SecretStr
-
-from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import (
-    APIKeyCredentials,
-    CredentialsField,
-    CredentialsMetaInput,
-    SchemaField,
-)
-from backend.integrations.providers import ProviderName
-
-DiscordCredentials = CredentialsMetaInput[
-    Literal[ProviderName.DISCORD], Literal["api_key"]
-]
-
-
-def DiscordCredentialsField() -> DiscordCredentials:
-    return CredentialsField(description="Discord bot token")
-
-
-TEST_CREDENTIALS = APIKeyCredentials(
-    id="01234567-89ab-cdef-0123-456789abcdef",
-    provider="discord",
-    api_key=SecretStr("test_api_key"),
-    title="Mock Discord API key",
-    expires_at=None,
-)
-TEST_CREDENTIALS_INPUT = {
-    "provider": TEST_CREDENTIALS.provider,
-    "id": TEST_CREDENTIALS.id,
-    "type": TEST_CREDENTIALS.type,
-    "title": TEST_CREDENTIALS.type,
-}
-
-
-class ReadDiscordMessagesBlock(Block):
-    class Input(BlockSchema):
-        credentials: DiscordCredentials = DiscordCredentialsField()
-
-    class Output(BlockSchema):
-        message_content: str = SchemaField(
-            description="The content of the message received"
-        )
-        channel_name: str = SchemaField(
-            description="The name of the channel the message was received from"
-        )
-        username: str = SchemaField(
-            description="The username of the user who sent the message"
-        )
-
-    def __init__(self):
-        super().__init__(
-            id="df06086a-d5ac-4abb-9996-2ad0acb2eff7",
-            input_schema=ReadDiscordMessagesBlock.Input,  # Assign input schema
-            output_schema=ReadDiscordMessagesBlock.Output,  # Assign output schema
-            description="Reads messages from a Discord channel using a bot token.",
-            categories={BlockCategory.SOCIAL},
-            test_input={
-                "continuous_read": False,
-                "credentials": TEST_CREDENTIALS_INPUT,
-            },
-            test_credentials=TEST_CREDENTIALS,
-            test_output=[
-                (
-                    "message_content",
-                    "Hello!\n\nFile from user: example.txt\nContent: This is the content of the file.",
-                ),
-                ("channel_name", "general"),
-                ("username", "test_user"),
-            ],
-            test_mock={
-                "run_bot": lambda token: asyncio.Future()  # Create a Future object for mocking
-            },
-        )
-
-    async def run_bot(self, token: SecretStr):
-        intents = discord.Intents.default()
-        intents.message_content = True
-
-        client = discord.Client(intents=intents)
-
-        self.output_data = None
-        self.channel_name = None
-        self.username = None
-
-        @client.event
-        async def on_ready():
-            print(f"Logged in as {client.user}")
-
-        @client.event
-        async def on_message(message):
-            if message.author == client.user:
-                return
-
-            self.output_data = message.content
-            self.channel_name = message.channel.name
-            self.username = message.author.name
-
-            if message.attachments:
-                attachment = message.attachments[0]  # Process the first attachment
-                if attachment.filename.endswith((".txt", ".py")):
-                    async with aiohttp.ClientSession() as session:
-                        async with session.get(attachment.url) as response:
-                            file_content = await response.text()
-                            self.output_data += f"\n\nFile from user: {attachment.filename}\nContent: {file_content}"
-
-            await client.close()
-
-        await client.start(token.get_secret_value())
-
-    def run(
-        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
-    ) -> BlockOutput:
-        while True:
-            for output_name, output_value in self.__run(input_data, credentials):
-                yield output_name, output_value
-            break
-
-    def __run(self, input_data: Input, credentials: APIKeyCredentials) -> BlockOutput:
-        try:
-            loop = asyncio.get_event_loop()
-            future = self.run_bot(credentials.api_key)
-
-            # If it's a Future (mock), set the result
-            if isinstance(future, asyncio.Future):
-                future.set_result(
-                    {
-                        "output_data": "Hello!\n\nFile from user: example.txt\nContent: This is the content of the file.",
-                        "channel_name": "general",
-                        "username": "test_user",
-                    }
-                )
-
-            result = loop.run_until_complete(future)
-
-            # For testing purposes, use the mocked result
-            if isinstance(result, dict):
-                self.output_data = result.get("output_data")
-                self.channel_name = result.get("channel_name")
-                self.username = result.get("username")
-
-            if (
-                self.output_data is None
-                or self.channel_name is None
-                or self.username is None
-            ):
-                raise ValueError("No message, channel name, or username received.")
-
-            yield "message_content", self.output_data
-            yield "channel_name", self.channel_name
-            yield "username", self.username
-
-        except discord.errors.LoginFailure as login_err:
-            raise ValueError(f"Login error occurred: {login_err}")
-        except Exception as e:
-            raise ValueError(f"An error occurred: {e}")
-
-
-class SendDiscordMessageBlock(Block):
-    class Input(BlockSchema):
-        credentials: DiscordCredentials = DiscordCredentialsField()
-        message_content: str = SchemaField(
-            description="The content of the message received"
-        )
-        channel_name: str = SchemaField(
-            description="The name of the channel the message was received from"
-        )
-
-    class Output(BlockSchema):
-        status: str = SchemaField(
-            description="The status of the operation (e.g., 'Message sent', 'Error')"
-        )
-
-    def __init__(self):
-        super().__init__(
-            id="d0822ab5-9f8a-44a3-8971-531dd0178b6b",
-            input_schema=SendDiscordMessageBlock.Input,  # Assign input schema
-            output_schema=SendDiscordMessageBlock.Output,  # Assign output schema
-            description="Sends a message to a Discord channel using a bot token.",
-            categories={BlockCategory.SOCIAL},
-            test_input={
-                "channel_name": "general",
-                "message_content": "Hello, Discord!",
-                "credentials": TEST_CREDENTIALS_INPUT,
-            },
-            test_output=[("status", "Message sent")],
-            test_mock={
-                "send_message": lambda token, channel_name, message_content: asyncio.Future()
-            },
-            test_credentials=TEST_CREDENTIALS,
-        )
-
-    async def send_message(self, token: str, channel_name: str, message_content: str):
-        intents = discord.Intents.default()
-        intents.guilds = True  # Required for fetching guild/channel information
-        client = discord.Client(intents=intents)
-
-        @client.event
-        async def on_ready():
-            print(f"Logged in as {client.user}")
-            for guild in client.guilds:
-                for channel in guild.text_channels:
-                    if channel.name == channel_name:
-                        # Split message into chunks if it exceeds 2000 characters
-                        for chunk in self.chunk_message(message_content):
-                            await channel.send(chunk)
-                        self.output_data = "Message sent"
-                        await client.close()
-                        return
-
-            self.output_data = "Channel not found"
-            await client.close()
-
-        await client.start(token)
-
-    def chunk_message(self, message: str, limit: int = 2000) -> list:
-        """Splits a message into chunks not exceeding the Discord limit."""
-        return [message[i : i + limit] for i in range(0, len(message), limit)]
-
-    def run(
-        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
-    ) -> BlockOutput:
-        try:
-            loop = asyncio.get_event_loop()
-            future = self.send_message(
-                credentials.api_key.get_secret_value(),
-                input_data.channel_name,
-                input_data.message_content,
-            )
-
-            # If it's a Future (mock), set the result
-            if isinstance(future, asyncio.Future):
-                future.set_result("Message sent")
-
-            result = loop.run_until_complete(future)
-
-            # For testing purposes, use the mocked result
-            if isinstance(result, str):
-                self.output_data = result
-
-            if self.output_data is None:
-                raise ValueError("No status message received.")
-
-            yield "status", self.output_data
-
-        except discord.errors.LoginFailure as login_err:
-            raise ValueError(f"Login error occurred: {login_err}")
-        except Exception as e:
-            raise ValueError(f"An error occurred: {e}")
diff --git a/autogpt_platform/backend/backend/blocks/discord/_api.py b/autogpt_platform/backend/backend/blocks/discord/_api.py
new file mode 100644
index 000000000000..3d7a52a39630
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/discord/_api.py
@@ -0,0 +1,117 @@
+"""
+Discord API helper functions for making authenticated requests.
+"""
+
+import logging
+from typing import Optional
+
+from pydantic import BaseModel
+
+from backend.data.model import OAuth2Credentials
+from backend.util.request import Requests
+
+logger = logging.getLogger(__name__)
+
+
+class DiscordAPIException(Exception):
+    """Exception raised for Discord API errors."""
+
+    def __init__(self, message: str, status_code: int):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class DiscordOAuthUser(BaseModel):
+    """Model for Discord OAuth user response."""
+
+    user_id: str
+    username: str
+    avatar_url: str
+    banner: Optional[str] = None
+    accent_color: Optional[int] = None
+
+
+def get_api(credentials: OAuth2Credentials) -> Requests:
+    """
+    Create a Requests instance configured for Discord API calls with OAuth2 credentials.
+
+    Args:
+        credentials: The OAuth2 credentials containing the access token.
+
+    Returns:
+        A configured Requests instance for Discord API calls.
+    """
+    return Requests(
+        trusted_origins=[],
+        extra_headers={
+            "Authorization": f"Bearer {credentials.access_token.get_secret_value()}",
+            "Content-Type": "application/json",
+        },
+        raise_for_status=False,
+    )
+
+
+async def get_current_user(credentials: OAuth2Credentials) -> DiscordOAuthUser:
+    """
+    Fetch the current user's information using Discord OAuth2 API.
+
+    Reference: https://discord.com/developers/docs/resources/user#get-current-user
+
+    Args:
+        credentials: The OAuth2 credentials.
+
+    Returns:
+        A model containing user data with avatar URL.
+
+    Raises:
+        DiscordAPIException: If the API request fails.
+    """
+    api = get_api(credentials)
+    response = await api.get("https://discord.com/api/oauth2/@me")
+
+    if not response.ok:
+        error_text = response.text()
+        raise DiscordAPIException(
+            f"Failed to fetch user info: {response.status} - {error_text}",
+            response.status,
+        )
+
+    data = response.json()
+    logger.info(f"Discord OAuth2 API Response: {data}")
+
+    # The /api/oauth2/@me endpoint returns a user object nested in the response
+    user_info = data.get("user", {})
+    logger.info(f"User info extracted: {user_info}")
+
+    # Build avatar URL
+    user_id = user_info.get("id")
+    avatar_hash = user_info.get("avatar")
+    if avatar_hash:
+        # Custom avatar
+        avatar_ext = "gif" if avatar_hash.startswith("a_") else "png"
+        avatar_url = (
+            f"https://cdn.discordapp.com/avatars/{user_id}/{avatar_hash}.{avatar_ext}"
+        )
+    else:
+        # Default avatar based on discriminator or user ID
+        discriminator = user_info.get("discriminator", "0")
+        if discriminator == "0":
+            # New username system - use user ID for default avatar
+            default_avatar_index = (int(user_id) >> 22) % 6
+        else:
+            # Legacy discriminator system
+            default_avatar_index = int(discriminator) % 5
+        avatar_url = (
+            f"https://cdn.discordapp.com/embed/avatars/{default_avatar_index}.png"
+        )
+
+    result = DiscordOAuthUser(
+        user_id=user_id,
+        username=user_info.get("username", ""),
+        avatar_url=avatar_url,
+        banner=user_info.get("banner"),
+        accent_color=user_info.get("accent_color"),
+    )
+
+    logger.info(f"Returning user data: {result.model_dump()}")
+    return result
diff --git a/autogpt_platform/backend/backend/blocks/discord/_auth.py b/autogpt_platform/backend/backend/blocks/discord/_auth.py
new file mode 100644
index 000000000000..e6671a630afc
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/discord/_auth.py
@@ -0,0 +1,74 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+)
+from backend.integrations.providers import ProviderName
+from backend.util.settings import Secrets
+
+secrets = Secrets()
+DISCORD_OAUTH_IS_CONFIGURED = bool(
+    secrets.discord_client_id and secrets.discord_client_secret
+)
+
+# Bot token credentials (existing)
+DiscordBotCredentials = APIKeyCredentials
+DiscordBotCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.DISCORD], Literal["api_key"]
+]
+
+# OAuth2 credentials (new)
+DiscordOAuthCredentials = OAuth2Credentials
+DiscordOAuthCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.DISCORD], Literal["oauth2"]
+]
+
+
+def DiscordBotCredentialsField() -> DiscordBotCredentialsInput:
+    """Creates a Discord bot token credentials field."""
+    return CredentialsField(description="Discord bot token")
+
+
+def DiscordOAuthCredentialsField(scopes: list[str]) -> DiscordOAuthCredentialsInput:
+    """Creates a Discord OAuth2 credentials field."""
+    return CredentialsField(
+        description="Discord OAuth2 credentials",
+        required_scopes=set(scopes) | {"identify"},  # Basic user info scope
+    )
+
+
+# Test credentials for bot tokens
+TEST_BOT_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="discord",
+    api_key=SecretStr("test_api_key"),
+    title="Mock Discord API key",
+    expires_at=None,
+)
+TEST_BOT_CREDENTIALS_INPUT = {
+    "provider": TEST_BOT_CREDENTIALS.provider,
+    "id": TEST_BOT_CREDENTIALS.id,
+    "type": TEST_BOT_CREDENTIALS.type,
+    "title": TEST_BOT_CREDENTIALS.type,
+}
+
+# Test credentials for OAuth2
+TEST_OAUTH_CREDENTIALS = OAuth2Credentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="discord",
+    access_token=SecretStr("test_access_token"),
+    title="Mock Discord OAuth",
+    scopes=["identify"],
+    username="testuser",
+)
+TEST_OAUTH_CREDENTIALS_INPUT = {
+    "provider": TEST_OAUTH_CREDENTIALS.provider,
+    "id": TEST_OAUTH_CREDENTIALS.id,
+    "type": TEST_OAUTH_CREDENTIALS.type,
+    "title": TEST_OAUTH_CREDENTIALS.type,
+}
diff --git a/autogpt_platform/backend/backend/blocks/discord/bot_blocks.py b/autogpt_platform/backend/backend/blocks/discord/bot_blocks.py
new file mode 100644
index 000000000000..22469de2d4ea
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/discord/bot_blocks.py
@@ -0,0 +1,1140 @@
+import base64
+import io
+import mimetypes
+from pathlib import Path
+from typing import Any
+
+import aiohttp
+import discord
+from pydantic import SecretStr
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import APIKeyCredentials, SchemaField
+from backend.util.file import store_media_file
+from backend.util.type import MediaFileType
+
+from ._auth import (
+    TEST_BOT_CREDENTIALS,
+    TEST_BOT_CREDENTIALS_INPUT,
+    DiscordBotCredentialsField,
+    DiscordBotCredentialsInput,
+)
+
+# Keep backward compatibility alias
+DiscordCredentials = DiscordBotCredentialsInput
+DiscordCredentialsField = DiscordBotCredentialsField
+TEST_CREDENTIALS = TEST_BOT_CREDENTIALS
+TEST_CREDENTIALS_INPUT = TEST_BOT_CREDENTIALS_INPUT
+
+
+class ReadDiscordMessagesBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+
+    class Output(BlockSchema):
+        message_content: str = SchemaField(
+            description="The content of the message received"
+        )
+        message_id: str = SchemaField(description="The ID of the message")
+        channel_id: str = SchemaField(description="The ID of the channel")
+        channel_name: str = SchemaField(
+            description="The name of the channel the message was received from"
+        )
+        user_id: str = SchemaField(
+            description="The ID of the user who sent the message"
+        )
+        username: str = SchemaField(
+            description="The username of the user who sent the message"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="df06086a-d5ac-4abb-9996-2ad0acb2eff7",
+            input_schema=ReadDiscordMessagesBlock.Input,  # Assign input schema
+            output_schema=ReadDiscordMessagesBlock.Output,  # Assign output schema
+            description="Reads messages from a Discord channel using a bot token.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "continuous_read": False,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "message_content",
+                    "Hello!\n\nFile from user: example.txt\nContent: This is the content of the file.",
+                ),
+                ("message_id", "123456789012345678"),
+                ("channel_id", "987654321098765432"),
+                ("channel_name", "general"),
+                ("user_id", "111222333444555666"),
+                ("username", "test_user"),
+            ],
+            test_mock={
+                "run_bot": lambda token: {
+                    "output_data": "Hello!\n\nFile from user: example.txt\nContent: This is the content of the file.",
+                    "message_id": "123456789012345678",
+                    "channel_id": "987654321098765432",
+                    "channel_name": "general",
+                    "user_id": "111222333444555666",
+                    "username": "test_user",
+                }
+            },
+        )
+
+    async def run_bot(self, token: SecretStr):
+        intents = discord.Intents.default()
+        intents.message_content = True
+
+        client = discord.Client(intents=intents)
+
+        self.output_data = None
+        self.message_id = None
+        self.channel_id = None
+        self.channel_name = None
+        self.user_id = None
+        self.username = None
+
+        @client.event
+        async def on_ready():
+            print(f"Logged in as {client.user}")
+
+        @client.event
+        async def on_message(message):
+            if message.author == client.user:
+                return
+
+            self.output_data = message.content
+            self.message_id = str(message.id)
+            self.channel_id = str(message.channel.id)
+            self.channel_name = message.channel.name
+            self.user_id = str(message.author.id)
+            self.username = message.author.name
+
+            if message.attachments:
+                attachment = message.attachments[0]  # Process the first attachment
+                if attachment.filename.endswith((".txt", ".py")):
+                    async with aiohttp.ClientSession() as session:
+                        async with session.get(attachment.url) as response:
+                            file_content = response.text()
+                            self.output_data += f"\n\nFile from user: {attachment.filename}\nContent: {file_content}"
+
+            await client.close()
+
+        await client.start(token.get_secret_value())
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        async for output_name, output_value in self.__run(input_data, credentials):
+            yield output_name, output_value
+
+    async def __run(
+        self, input_data: Input, credentials: APIKeyCredentials
+    ) -> BlockOutput:
+        try:
+            result = await self.run_bot(credentials.api_key)
+
+            # For testing purposes, use the mocked result
+            if isinstance(result, dict):
+                self.output_data = result.get("output_data")
+                self.message_id = result.get("message_id")
+                self.channel_id = result.get("channel_id")
+                self.channel_name = result.get("channel_name")
+                self.user_id = result.get("user_id")
+                self.username = result.get("username")
+
+            if (
+                self.output_data is None
+                or self.channel_name is None
+                or self.username is None
+            ):
+                raise ValueError("No message, channel name, or username received.")
+
+            yield "message_content", self.output_data
+            yield "message_id", self.message_id
+            yield "channel_id", self.channel_id
+            yield "channel_name", self.channel_name
+            yield "user_id", self.user_id
+            yield "username", self.username
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class SendDiscordMessageBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        message_content: str = SchemaField(
+            description="The content of the message to send"
+        )
+        channel_name: str = SchemaField(
+            description="The name of the channel the message will be sent to"
+        )
+        server_name: str = SchemaField(
+            description="The name of the server where the channel is located",
+            advanced=True,  # Optional field for server name
+            default="",
+        )
+
+    class Output(BlockSchema):
+        status: str = SchemaField(
+            description="The status of the operation (e.g., 'Message sent', 'Error')"
+        )
+        message_id: str = SchemaField(description="The ID of the sent message")
+        channel_id: str = SchemaField(
+            description="The ID of the channel where the message was sent"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="d0822ab5-9f8a-44a3-8971-531dd0178b6b",
+            input_schema=SendDiscordMessageBlock.Input,  # Assign input schema
+            output_schema=SendDiscordMessageBlock.Output,  # Assign output schema
+            description="Sends a message to a Discord channel using a bot token.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "channel_name": "general",
+                "message_content": "Hello, Discord!",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("status", "Message sent"),
+                ("message_id", "123456789012345678"),
+                ("channel_id", "987654321098765432"),
+            ],
+            test_mock={
+                "send_message": lambda token, channel_name, server_name, message_content: {
+                    "status": "Message sent",
+                    "message_id": "123456789012345678",
+                    "channel_id": "987654321098765432",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def send_message(
+        self,
+        token: str,
+        channel_name: str,
+        server_name: str | None,
+        message_content: str,
+    ) -> dict:
+        intents = discord.Intents.default()
+        intents.guilds = True  # Required for fetching guild/channel information
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            print(f"Logged in as {client.user}")
+            for guild in client.guilds:
+                if server_name and guild.name != server_name:
+                    continue
+                for channel in guild.text_channels:
+                    if channel.name == channel_name:
+                        # Split message into chunks if it exceeds 2000 characters
+                        chunks = self.chunk_message(message_content)
+                        last_message = None
+                        for chunk in chunks:
+                            last_message = await channel.send(chunk)
+                        result["status"] = "Message sent"
+                        result["message_id"] = (
+                            str(last_message.id) if last_message else ""
+                        )
+                        result["channel_id"] = str(channel.id)
+                        await client.close()
+                        return
+
+            result["status"] = "Channel not found"
+            await client.close()
+
+        await client.start(token)
+        return result
+
+    def chunk_message(self, message: str, limit: int = 2000) -> list:
+        """Splits a message into chunks not exceeding the Discord limit."""
+        return [message[i : i + limit] for i in range(0, len(message), limit)]
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            result = await self.send_message(
+                token=credentials.api_key.get_secret_value(),
+                channel_name=input_data.channel_name,
+                server_name=input_data.server_name,
+                message_content=input_data.message_content,
+            )
+
+            # For testing purposes, use the mocked result
+            if isinstance(result, str):
+                result = {"status": result}
+
+            yield "status", result.get("status", "Unknown error")
+            if "message_id" in result:
+                yield "message_id", result["message_id"]
+            if "channel_id" in result:
+                yield "channel_id", result["channel_id"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class SendDiscordDMBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        user_id: str = SchemaField(
+            description="The Discord user ID to send the DM to (e.g., '123456789012345678')"
+        )
+        message_content: str = SchemaField(
+            description="The content of the direct message to send"
+        )
+
+    class Output(BlockSchema):
+        status: str = SchemaField(description="The status of the operation")
+        message_id: str = SchemaField(description="The ID of the sent message")
+
+    def __init__(self):
+        super().__init__(
+            id="40d71a5a-e268-4060-9ee0-38ae6f225682",
+            input_schema=SendDiscordDMBlock.Input,
+            output_schema=SendDiscordDMBlock.Output,
+            description="Sends a direct message to a Discord user using their user ID.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "user_id": "123456789012345678",
+                "message_content": "Hello! This is a test DM.",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("status", "DM sent successfully"),
+                ("message_id", "987654321098765432"),
+            ],
+            test_mock={
+                "send_dm": lambda token, user_id, message_content: {
+                    "status": "DM sent successfully",
+                    "message_id": "987654321098765432",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def send_dm(self, token: str, user_id: str, message_content: str) -> dict:
+        intents = discord.Intents.default()
+        intents.dm_messages = True
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            try:
+                user = await client.fetch_user(int(user_id))
+                message = await user.send(message_content)
+                result["status"] = "DM sent successfully"
+                result["message_id"] = str(message.id)
+            except discord.errors.Forbidden:
+                result["status"] = (
+                    "Cannot send DM - user has DMs disabled or bot is blocked"
+                )
+            except discord.errors.NotFound:
+                result["status"] = f"User with ID {user_id} not found"
+            except ValueError:
+                result["status"] = f"Invalid user ID format: {user_id}"
+            except Exception as e:
+                result["status"] = f"Error sending DM: {str(e)}"
+            finally:
+                await client.close()
+
+        await client.start(token)
+        return result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            result = await self.send_dm(
+                token=credentials.api_key.get_secret_value(),
+                user_id=input_data.user_id,
+                message_content=input_data.message_content,
+            )
+
+            yield "status", result.get("status", "Unknown error")
+            if "message_id" in result:
+                yield "message_id", result["message_id"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class SendDiscordEmbedBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        channel_identifier: str = SchemaField(
+            description="Channel ID or channel name to send the embed to"
+        )
+        server_name: str = SchemaField(
+            description="Server name (only needed if using channel name)",
+            advanced=True,
+            default="",
+        )
+        title: str = SchemaField(description="The title of the embed", default="")
+        description: str = SchemaField(
+            description="The main content/description of the embed", default=""
+        )
+        color: int = SchemaField(
+            description="Embed color as integer (e.g., 0x00ff00 for green)",
+            advanced=True,
+            default=0x5865F2,  # Discord blurple
+        )
+        thumbnail_url: str = SchemaField(
+            description="URL for the thumbnail image", advanced=True, default=""
+        )
+        image_url: str = SchemaField(
+            description="URL for the main embed image", advanced=True, default=""
+        )
+        author_name: str = SchemaField(
+            description="Author name to display", advanced=True, default=""
+        )
+        footer_text: str = SchemaField(
+            description="Footer text", advanced=True, default=""
+        )
+        fields: list[dict[str, Any]] = SchemaField(
+            description="List of field dictionaries with 'name', 'value', and optional 'inline' keys",
+            advanced=True,
+            default=[],
+        )
+
+    class Output(BlockSchema):
+        status: str = SchemaField(description="Operation status")
+        message_id: str = SchemaField(description="ID of the sent embed message")
+
+    def __init__(self):
+        super().__init__(
+            id="c76293f4-9ae8-454d-a029-0a3f8c5bc499",
+            input_schema=SendDiscordEmbedBlock.Input,
+            output_schema=SendDiscordEmbedBlock.Output,
+            description="Sends a rich embed message to a Discord channel.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "channel_identifier": "general",
+                "title": "Test Embed",
+                "description": "This is a test embed message",
+                "color": 0x00FF00,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("status", "Embed sent successfully"),
+                ("message_id", "123456789012345678"),
+            ],
+            test_mock={
+                "send_embed": lambda *args, **kwargs: {
+                    "status": "Embed sent successfully",
+                    "message_id": "123456789012345678",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def send_embed(
+        self,
+        token: str,
+        channel_identifier: str,
+        server_name: str | None,
+        embed_data: dict,
+    ) -> dict:
+        intents = discord.Intents.default()
+        intents.guilds = True
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            channel = None
+
+            # Try to parse as channel ID first
+            try:
+                channel_id = int(channel_identifier)
+                channel = client.get_channel(channel_id)
+            except ValueError:
+                # Not an ID, treat as channel name
+                for guild in client.guilds:
+                    if server_name and guild.name != server_name:
+                        continue
+                    for ch in guild.text_channels:
+                        if ch.name == channel_identifier:
+                            channel = ch
+                            break
+                    if channel:
+                        break
+
+            if not channel:
+                result["status"] = f"Channel not found: {channel_identifier}"
+                await client.close()
+                return
+
+            # Build the embed
+            embed = discord.Embed(
+                title=embed_data.get("title") or None,
+                description=embed_data.get("description") or None,
+                color=embed_data.get("color", 0x5865F2),
+            )
+
+            if embed_data.get("thumbnail_url"):
+                embed.set_thumbnail(url=embed_data["thumbnail_url"])
+
+            if embed_data.get("image_url"):
+                embed.set_image(url=embed_data["image_url"])
+
+            if embed_data.get("author_name"):
+                embed.set_author(name=embed_data["author_name"])
+
+            if embed_data.get("footer_text"):
+                embed.set_footer(text=embed_data["footer_text"])
+
+            # Add fields
+            for field in embed_data.get("fields", []):
+                if isinstance(field, dict) and "name" in field and "value" in field:
+                    embed.add_field(
+                        name=field["name"],
+                        value=field["value"],
+                        inline=field.get("inline", True),
+                    )
+
+            try:
+                # Type check - ensure it's a text channel that can send messages
+                if not hasattr(channel, "send"):
+                    result["status"] = (
+                        f"Channel {channel_identifier} cannot receive messages (not a text channel)"
+                    )
+                    await client.close()
+                    return
+
+                message = await channel.send(embed=embed)  # type: ignore
+                result["status"] = "Embed sent successfully"
+                result["message_id"] = str(message.id)
+            except Exception as e:
+                result["status"] = f"Error sending embed: {str(e)}"
+            finally:
+                await client.close()
+
+        await client.start(token)
+        return result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            embed_data = {
+                "title": input_data.title,
+                "description": input_data.description,
+                "color": input_data.color,
+                "thumbnail_url": input_data.thumbnail_url,
+                "image_url": input_data.image_url,
+                "author_name": input_data.author_name,
+                "footer_text": input_data.footer_text,
+                "fields": input_data.fields,
+            }
+
+            result = await self.send_embed(
+                token=credentials.api_key.get_secret_value(),
+                channel_identifier=input_data.channel_identifier,
+                server_name=input_data.server_name or None,
+                embed_data=embed_data,
+            )
+
+            yield "status", result.get("status", "Unknown error")
+            if "message_id" in result:
+                yield "message_id", result["message_id"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class SendDiscordFileBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        channel_identifier: str = SchemaField(
+            description="Channel ID or channel name to send the file to"
+        )
+        server_name: str = SchemaField(
+            description="Server name (only needed if using channel name)",
+            advanced=True,
+            default="",
+        )
+        file: MediaFileType = SchemaField(
+            description="The file to send (URL, data URI, or local path). Supports images, videos, documents, etc."
+        )
+        filename: str = SchemaField(
+            description="Name of the file when sent (e.g., 'report.pdf', 'image.png')",
+            default="",
+        )
+        message_content: str = SchemaField(
+            description="Optional message to send with the file", default=""
+        )
+
+    class Output(BlockSchema):
+        status: str = SchemaField(description="Operation status")
+        message_id: str = SchemaField(description="ID of the sent message")
+
+    def __init__(self):
+        super().__init__(
+            id="b1628cf2-4622-49bf-80cf-10e55826e247",
+            input_schema=SendDiscordFileBlock.Input,
+            output_schema=SendDiscordFileBlock.Output,
+            description="Sends a file attachment to a Discord channel.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "channel_identifier": "general",
+                "file": "data:text/plain;base64,VGVzdCBmaWxlIGNvbnRlbnQ=",
+                "filename": "test.txt",
+                "message_content": "Here's the file!",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("status", "File sent successfully"),
+                ("message_id", "123456789012345678"),
+            ],
+            test_mock={
+                "send_file": lambda *args, **kwargs: {
+                    "status": "File sent successfully",
+                    "message_id": "123456789012345678",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def send_file(
+        self,
+        token: str,
+        channel_identifier: str,
+        server_name: str | None,
+        file: MediaFileType,
+        filename: str,
+        message_content: str,
+        graph_exec_id: str,
+        user_id: str,
+    ) -> dict:
+        intents = discord.Intents.default()
+        intents.guilds = True
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            channel = None
+
+            # Try to parse as channel ID first
+            try:
+                channel_id = int(channel_identifier)
+                channel = client.get_channel(channel_id)
+            except ValueError:
+                # Not an ID, treat as channel name
+                for guild in client.guilds:
+                    if server_name and guild.name != server_name:
+                        continue
+                    for ch in guild.text_channels:
+                        if ch.name == channel_identifier:
+                            channel = ch
+                            break
+                    if channel:
+                        break
+
+            if not channel:
+                result["status"] = f"Channel not found: {channel_identifier}"
+                await client.close()
+                return
+
+            try:
+                # Handle MediaFileType - could be data URI, URL, or local path
+                file_bytes = None
+                detected_filename = filename
+
+                if file.startswith("data:"):
+                    # Data URI - extract the base64 content
+                    header, encoded = file.split(",", 1)
+                    file_bytes = base64.b64decode(encoded)
+
+                    # Try to get MIME type and suggest filename if not provided
+                    if not filename and ";" in header:
+                        mime_match = header.split(":")[1].split(";")[0]
+                        ext = mimetypes.guess_extension(mime_match) or ".bin"
+                        detected_filename = f"file{ext}"
+
+                elif file.startswith(("http://", "https://")):
+                    # URL - download the file
+                    async with aiohttp.ClientSession() as session:
+                        async with session.get(file) as response:
+                            file_bytes = await response.read()
+
+                            # Try to get filename from URL if not provided
+                            if not filename:
+                                from urllib.parse import urlparse
+
+                                path = urlparse(file).path
+                                detected_filename = Path(path).name or "download"
+                else:
+                    # Local file path - read from stored media file
+                    # This would be a path from a previous block's output
+                    stored_file = await store_media_file(
+                        graph_exec_id=graph_exec_id,
+                        file=file,
+                        user_id=user_id,
+                        return_content=True,  # Get as data URI
+                    )
+                    # Now process as data URI
+                    header, encoded = stored_file.split(",", 1)
+                    file_bytes = base64.b64decode(encoded)
+
+                    if not filename:
+                        detected_filename = Path(file).name or "file"
+
+                if not file_bytes:
+                    result["status"] = "Error: Could not read file content"
+                    await client.close()
+                    return
+
+                # Create Discord file object
+                discord_file = discord.File(
+                    io.BytesIO(file_bytes), filename=detected_filename or "file"
+                )
+
+                # Type check - ensure it's a text channel that can send messages
+                if not hasattr(channel, "send"):
+                    result["status"] = (
+                        f"Channel {channel_identifier} cannot receive messages (not a text channel)"
+                    )
+                    await client.close()
+                    return
+
+                # Send the file
+                message = await channel.send(  # type: ignore
+                    content=message_content if message_content else None,
+                    file=discord_file,
+                )
+                result["status"] = "File sent successfully"
+                result["message_id"] = str(message.id)
+            except Exception as e:
+                result["status"] = f"Error sending file: {str(e)}"
+            finally:
+                await client.close()
+
+        await client.start(token)
+        return result
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            result = await self.send_file(
+                token=credentials.api_key.get_secret_value(),
+                channel_identifier=input_data.channel_identifier,
+                server_name=input_data.server_name or None,
+                file=input_data.file,
+                filename=input_data.filename,
+                message_content=input_data.message_content,
+                graph_exec_id=graph_exec_id,
+                user_id=user_id,
+            )
+
+            yield "status", result.get("status", "Unknown error")
+            if "message_id" in result:
+                yield "message_id", result["message_id"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class ReplyToDiscordMessageBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        channel_id: str = SchemaField(
+            description="The channel ID where the message to reply to is located"
+        )
+        message_id: str = SchemaField(description="The ID of the message to reply to")
+        reply_content: str = SchemaField(description="The content of the reply")
+        mention_author: bool = SchemaField(
+            description="Whether to mention the original message author", default=True
+        )
+
+    class Output(BlockSchema):
+        status: str = SchemaField(description="Operation status")
+        reply_id: str = SchemaField(description="ID of the reply message")
+
+    def __init__(self):
+        super().__init__(
+            id="7226cb99-6e7b-4672-b6b2-acec95336eec",
+            input_schema=ReplyToDiscordMessageBlock.Input,
+            output_schema=ReplyToDiscordMessageBlock.Output,
+            description="Replies to a specific Discord message.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "channel_id": "123456789012345678",
+                "message_id": "987654321098765432",
+                "reply_content": "This is a reply!",
+                "mention_author": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("status", "Reply sent successfully"),
+                ("reply_id", "111222333444555666"),
+            ],
+            test_mock={
+                "send_reply": lambda *args, **kwargs: {
+                    "status": "Reply sent successfully",
+                    "reply_id": "111222333444555666",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def send_reply(
+        self,
+        token: str,
+        channel_id: str,
+        message_id: str,
+        reply_content: str,
+        mention_author: bool,
+    ) -> dict:
+        intents = discord.Intents.default()
+        intents.guilds = True
+        intents.message_content = True
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            try:
+                channel = client.get_channel(int(channel_id))
+                if not channel:
+                    channel = await client.fetch_channel(int(channel_id))
+
+                if not channel:
+                    result["status"] = f"Channel with ID {channel_id} not found"
+                    await client.close()
+                    return
+
+                # Type check - ensure it's a text channel that can fetch messages
+                if not hasattr(channel, "fetch_message"):
+                    result["status"] = (
+                        f"Channel {channel_id} cannot fetch messages (not a text channel)"
+                    )
+                    await client.close()
+                    return
+
+                # Fetch the message to reply to
+                try:
+                    message = await channel.fetch_message(int(message_id))  # type: ignore
+                except discord.errors.NotFound:
+                    result["status"] = f"Message with ID {message_id} not found"
+                    await client.close()
+                    return
+
+                # Send the reply
+                reply = await message.reply(
+                    content=reply_content, mention_author=mention_author
+                )
+                result["status"] = "Reply sent successfully"
+                result["reply_id"] = str(reply.id)
+
+            except ValueError as e:
+                result["status"] = f"Invalid ID format: {str(e)}"
+            except Exception as e:
+                result["status"] = f"Error sending reply: {str(e)}"
+            finally:
+                await client.close()
+
+        await client.start(token)
+        return result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            result = await self.send_reply(
+                token=credentials.api_key.get_secret_value(),
+                channel_id=input_data.channel_id,
+                message_id=input_data.message_id,
+                reply_content=input_data.reply_content,
+                mention_author=input_data.mention_author,
+            )
+
+            yield "status", result.get("status", "Unknown error")
+            if "reply_id" in result:
+                yield "reply_id", result["reply_id"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class DiscordUserInfoBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        user_id: str = SchemaField(
+            description="The Discord user ID to get information about"
+        )
+
+    class Output(BlockSchema):
+        user_id: str = SchemaField(
+            description="The user's ID (passed through for chaining)"
+        )
+        username: str = SchemaField(description="The user's username")
+        display_name: str = SchemaField(description="The user's display name")
+        discriminator: str = SchemaField(
+            description="The user's discriminator (if applicable)"
+        )
+        avatar_url: str = SchemaField(description="URL to the user's avatar")
+        is_bot: bool = SchemaField(description="Whether the user is a bot")
+        created_at: str = SchemaField(description="When the account was created")
+
+    def __init__(self):
+        super().__init__(
+            id="9aeed32a-6ebf-49b8-a0a3-e2e509d86120",
+            input_schema=DiscordUserInfoBlock.Input,
+            output_schema=DiscordUserInfoBlock.Output,
+            description="Gets information about a Discord user by their ID.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "user_id": "123456789012345678",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("user_id", "123456789012345678"),
+                ("username", "testuser"),
+                ("display_name", "Test User"),
+                ("discriminator", "0"),
+                (
+                    "avatar_url",
+                    "https://cdn.discordapp.com/avatars/123456789012345678/avatar.png",
+                ),
+                ("is_bot", False),
+                ("created_at", "2020-01-01T00:00:00"),
+            ],
+            test_mock={
+                "get_user_info": lambda token, user_id: {
+                    "user_id": "123456789012345678",
+                    "username": "testuser",
+                    "display_name": "Test User",
+                    "discriminator": "0",
+                    "avatar_url": "https://cdn.discordapp.com/avatars/123456789012345678/avatar.png",
+                    "is_bot": False,
+                    "created_at": "2020-01-01T00:00:00",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def get_user_info(self, token: str, user_id: str) -> dict:
+        intents = discord.Intents.default()
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            try:
+                user = await client.fetch_user(int(user_id))
+
+                result["user_id"] = str(user.id)  # Pass through the user ID
+                result["username"] = user.name
+                result["display_name"] = user.display_name or user.name
+                result["discriminator"] = user.discriminator
+                result["avatar_url"] = (
+                    str(user.avatar.url)
+                    if user.avatar
+                    else str(user.default_avatar.url)
+                )
+                result["is_bot"] = user.bot
+                result["created_at"] = user.created_at.isoformat()
+
+            except discord.errors.NotFound:
+                result["error"] = f"User with ID {user_id} not found"
+            except ValueError:
+                result["error"] = f"Invalid user ID format: {user_id}"
+            except Exception as e:
+                result["error"] = f"Error fetching user info: {str(e)}"
+            finally:
+                await client.close()
+
+        await client.start(token)
+        return result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            result = await self.get_user_info(
+                token=credentials.api_key.get_secret_value(), user_id=input_data.user_id
+            )
+
+            if "error" in result:
+                raise ValueError(result["error"])
+
+            yield "user_id", result["user_id"]
+            yield "username", result["username"]
+            yield "display_name", result["display_name"]
+            yield "discriminator", result["discriminator"]
+            yield "avatar_url", result["avatar_url"]
+            yield "is_bot", result["is_bot"]
+            yield "created_at", result["created_at"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
+
+
+class DiscordChannelInfoBlock(Block):
+    class Input(BlockSchema):
+        credentials: DiscordCredentials = DiscordCredentialsField()
+        channel_identifier: str = SchemaField(
+            description="Channel name or channel ID to look up"
+        )
+        server_name: str = SchemaField(
+            description="Server name (optional, helps narrow down search)",
+            advanced=True,
+            default="",
+        )
+
+    class Output(BlockSchema):
+        channel_id: str = SchemaField(description="The channel's ID")
+        channel_name: str = SchemaField(description="The channel's name")
+        server_id: str = SchemaField(description="The server's ID")
+        server_name: str = SchemaField(description="The server's name")
+        channel_type: str = SchemaField(
+            description="Type of channel (text, voice, etc)"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="592f815e-35c3-4fed-96cd-a69966b45c8f",
+            input_schema=DiscordChannelInfoBlock.Input,
+            output_schema=DiscordChannelInfoBlock.Output,
+            description="Resolves Discord channel names to IDs and vice versa.",
+            categories={BlockCategory.SOCIAL},
+            test_input={
+                "channel_identifier": "general",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("channel_id", "123456789012345678"),
+                ("channel_name", "general"),
+                ("server_id", "987654321098765432"),
+                ("server_name", "Test Server"),
+                ("channel_type", "text"),
+            ],
+            test_mock={
+                "get_channel_info": lambda token, channel_identifier, server_name: {
+                    "channel_id": "123456789012345678",
+                    "channel_name": "general",
+                    "server_id": "987654321098765432",
+                    "server_name": "Test Server",
+                    "channel_type": "text",
+                }
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def get_channel_info(
+        self, token: str, channel_identifier: str, server_name: str | None
+    ) -> dict:
+        intents = discord.Intents.default()
+        intents.guilds = True
+        client = discord.Client(intents=intents)
+
+        result = {}
+
+        @client.event
+        async def on_ready():
+            # Try to parse as channel ID first
+            channel = None
+            try:
+                channel_id = int(channel_identifier)
+                channel = client.get_channel(channel_id)
+                if channel:
+                    result["channel_id"] = str(channel.id)
+                    # Private channels may not have a name attribute
+                    result["channel_name"] = getattr(channel, "name", "Private Channel")
+                    # Check if channel has guild (not private)
+                    if hasattr(channel, "guild"):
+                        guild = getattr(channel, "guild", None)
+                        if guild:
+                            result["server_id"] = str(guild.id)
+                            result["server_name"] = guild.name
+                        else:
+                            result["server_id"] = ""
+                            result["server_name"] = "Direct Message"
+                    else:
+                        result["server_id"] = ""
+                        result["server_name"] = "Direct Message"
+                    # Get channel type safely
+                    result["channel_type"] = str(getattr(channel, "type", "unknown"))
+                    await client.close()
+                    return
+            except ValueError:
+                # Not an ID, treat as channel name
+                for guild in client.guilds:
+                    if server_name and guild.name != server_name:
+                        continue
+                    for ch in guild.channels:
+                        if ch.name == channel_identifier:
+                            result["channel_id"] = str(ch.id)
+                            result["channel_name"] = ch.name
+                            result["server_id"] = str(guild.id)
+                            result["server_name"] = guild.name
+                            result["channel_type"] = str(ch.type)
+                            await client.close()
+                            return
+
+            result["error"] = f"Channel not found: {channel_identifier}"
+            await client.close()
+
+        await client.start(token)
+        return result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            result = await self.get_channel_info(
+                token=credentials.api_key.get_secret_value(),
+                channel_identifier=input_data.channel_identifier,
+                server_name=input_data.server_name or None,
+            )
+
+            if "error" in result:
+                raise ValueError(result["error"])
+
+            yield "channel_id", result["channel_id"]
+            yield "channel_name", result["channel_name"]
+            yield "server_id", result["server_id"]
+            yield "server_name", result["server_name"]
+            yield "channel_type", result["channel_type"]
+
+        except discord.errors.LoginFailure as login_err:
+            raise ValueError(f"Login error occurred: {login_err}")
+        except Exception as e:
+            raise ValueError(f"An error occurred: {e}")
diff --git a/autogpt_platform/backend/backend/blocks/discord/oauth_blocks.py b/autogpt_platform/backend/backend/blocks/discord/oauth_blocks.py
new file mode 100644
index 000000000000..31d2df65c26f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/discord/oauth_blocks.py
@@ -0,0 +1,99 @@
+"""
+Discord OAuth-based blocks.
+"""
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import OAuth2Credentials, SchemaField
+
+from ._api import DiscordOAuthUser, get_current_user
+from ._auth import (
+    DISCORD_OAUTH_IS_CONFIGURED,
+    TEST_OAUTH_CREDENTIALS,
+    TEST_OAUTH_CREDENTIALS_INPUT,
+    DiscordOAuthCredentialsField,
+    DiscordOAuthCredentialsInput,
+)
+
+
+class DiscordGetCurrentUserBlock(Block):
+    """
+    Gets information about the currently authenticated Discord user using OAuth2.
+    This block requires Discord OAuth2 credentials (not bot tokens).
+    """
+
+    class Input(BlockSchema):
+        credentials: DiscordOAuthCredentialsInput = DiscordOAuthCredentialsField(
+            ["identify"]
+        )
+
+    class Output(BlockSchema):
+        user_id: str = SchemaField(description="The authenticated user's Discord ID")
+        username: str = SchemaField(description="The user's username")
+        avatar_url: str = SchemaField(description="URL to the user's avatar image")
+        banner_url: str = SchemaField(
+            description="URL to the user's banner image (if set)", default=""
+        )
+        accent_color: int = SchemaField(
+            description="The user's accent color as an integer", default=0
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="8c7e39b8-4e9d-4f3a-b4e1-2a8c9d5f6e3b",
+            input_schema=DiscordGetCurrentUserBlock.Input,
+            output_schema=DiscordGetCurrentUserBlock.Output,
+            description="Gets information about the currently authenticated Discord user using OAuth2 credentials.",
+            categories={BlockCategory.SOCIAL},
+            disabled=not DISCORD_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_OAUTH_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_OAUTH_CREDENTIALS,
+            test_output=[
+                ("user_id", "123456789012345678"),
+                ("username", "testuser"),
+                (
+                    "avatar_url",
+                    "https://cdn.discordapp.com/avatars/123456789012345678/avatar.png",
+                ),
+                ("banner_url", ""),
+                ("accent_color", 0),
+            ],
+            test_mock={
+                "get_user": lambda _: DiscordOAuthUser(
+                    user_id="123456789012345678",
+                    username="testuser",
+                    avatar_url="https://cdn.discordapp.com/avatars/123456789012345678/avatar.png",
+                    banner=None,
+                    accent_color=0,
+                )
+            },
+        )
+
+    @staticmethod
+    async def get_user(credentials: OAuth2Credentials) -> DiscordOAuthUser:
+        user_info = await get_current_user(credentials)
+        return user_info
+
+    async def run(
+        self, input_data: Input, *, credentials: OAuth2Credentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            result = await self.get_user(credentials)
+
+            # Yield each output field
+            yield "user_id", result.user_id
+            yield "username", result.username
+            yield "avatar_url", result.avatar_url
+
+            # Handle banner URL if banner hash exists
+            if result.banner:
+                banner_url = f"https://cdn.discordapp.com/banners/{result.user_id}/{result.banner}.png"
+                yield "banner_url", banner_url
+            else:
+                yield "banner_url", ""
+
+            yield "accent_color", result.accent_color or 0
+
+        except Exception as e:
+            raise ValueError(f"Failed to get Discord user info: {e}")
diff --git a/autogpt_platform/backend/backend/blocks/email_block.py b/autogpt_platform/backend/backend/blocks/email_block.py
index dd63dbbcf6df..3738bf0de836 100644
--- a/autogpt_platform/backend/backend/blocks/email_block.py
+++ b/autogpt_platform/backend/backend/blocks/email_block.py
@@ -1,22 +1,53 @@
 import smtplib
 from email.mime.multipart import MIMEMultipart
 from email.mime.text import MIMEText
+from typing import Literal
 
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict, SecretStr
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import BlockSecret, SchemaField, SecretField
+from backend.data.model import (
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+    UserPasswordCredentials,
+)
+from backend.integrations.providers import ProviderName
 
+TEST_CREDENTIALS = UserPasswordCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="smtp",
+    username=SecretStr("mock-smtp-username"),
+    password=SecretStr("mock-smtp-password"),
+    title="Mock SMTP credentials",
+)
 
-class EmailCredentials(BaseModel):
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
+SMTPCredentials = UserPasswordCredentials
+SMTPCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.SMTP],
+    Literal["user_password"],
+]
+
+
+def SMTPCredentialsField() -> SMTPCredentialsInput:
+    return CredentialsField(
+        description="The SMTP integration requires a username and password.",
+    )
+
+
+class SMTPConfig(BaseModel):
     smtp_server: str = SchemaField(
-        default="smtp.gmail.com", description="SMTP server address"
+        default="smtp.example.com", description="SMTP server address"
     )
     smtp_port: int = SchemaField(default=25, description="SMTP port number")
-    smtp_username: BlockSecret = SecretField(key="smtp_username")
-    smtp_password: BlockSecret = SecretField(key="smtp_password")
 
-    model_config = ConfigDict(title="Email Credentials")
+    model_config = ConfigDict(title="SMTP Config")
 
 
 class SendEmailBlock(Block):
@@ -30,10 +61,11 @@ class Input(BlockSchema):
         body: str = SchemaField(
             description="Body of the email", placeholder="Enter the email body"
         )
-        creds: EmailCredentials = SchemaField(
-            description="SMTP credentials",
-            default=EmailCredentials(),
+        config: SMTPConfig = SchemaField(
+            description="SMTP Config",
+            default=SMTPConfig(),
         )
+        credentials: SMTPCredentialsInput = SMTPCredentialsField()
 
     class Output(BlockSchema):
         status: str = SchemaField(description="Status of the email sending operation")
@@ -43,7 +75,6 @@ class Output(BlockSchema):
 
     def __init__(self):
         super().__init__(
-            disabled=True,
             id="4335878a-394e-4e67-adf2-919877ff49ae",
             description="This block sends an email using the provided SMTP credentials.",
             categories={BlockCategory.OUTPUT},
@@ -53,25 +84,29 @@ def __init__(self):
                 "to_email": "recipient@example.com",
                 "subject": "Test Email",
                 "body": "This is a test email.",
-                "creds": {
+                "config": {
                     "smtp_server": "smtp.gmail.com",
                     "smtp_port": 25,
-                    "smtp_username": "your-email@gmail.com",
-                    "smtp_password": "your-gmail-password",
                 },
+                "credentials": TEST_CREDENTIALS_INPUT,
             },
+            test_credentials=TEST_CREDENTIALS,
             test_output=[("status", "Email sent successfully")],
             test_mock={"send_email": lambda *args, **kwargs: "Email sent successfully"},
         )
 
     @staticmethod
     def send_email(
-        creds: EmailCredentials, to_email: str, subject: str, body: str
+        config: SMTPConfig,
+        to_email: str,
+        subject: str,
+        body: str,
+        credentials: SMTPCredentials,
     ) -> str:
-        smtp_server = creds.smtp_server
-        smtp_port = creds.smtp_port
-        smtp_username = creds.smtp_username.get_secret_value()
-        smtp_password = creds.smtp_password.get_secret_value()
+        smtp_server = config.smtp_server
+        smtp_port = config.smtp_port
+        smtp_username = credentials.username.get_secret_value()
+        smtp_password = credentials.password.get_secret_value()
 
         msg = MIMEMultipart()
         msg["From"] = smtp_username
@@ -86,10 +121,13 @@ def send_email(
 
         return "Email sent successfully"
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(
+        self, input_data: Input, *, credentials: SMTPCredentials, **kwargs
+    ) -> BlockOutput:
         yield "status", self.send_email(
-            input_data.creds,
-            input_data.to_email,
-            input_data.subject,
-            input_data.body,
+            config=input_data.config,
+            to_email=input_data.to_email,
+            subject=input_data.subject,
+            body=input_data.body,
+            credentials=credentials,
         )
diff --git a/autogpt_platform/backend/backend/blocks/enrichlayer/_api.py b/autogpt_platform/backend/backend/blocks/enrichlayer/_api.py
new file mode 100644
index 000000000000..7d1f0e61f06c
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/enrichlayer/_api.py
@@ -0,0 +1,408 @@
+"""
+API module for Enrichlayer integration.
+
+This module provides a client for interacting with the Enrichlayer API,
+which allows fetching LinkedIn profile data and related information.
+"""
+
+import datetime
+import enum
+import logging
+from json import JSONDecodeError
+from typing import Any, Optional, TypeVar
+
+from pydantic import BaseModel, Field
+
+from backend.data.model import APIKeyCredentials
+from backend.util.request import Requests
+
+logger = logging.getLogger(__name__)
+
+T = TypeVar("T")
+
+
+class EnrichlayerAPIException(Exception):
+    """Exception raised for Enrichlayer API errors."""
+
+    def __init__(self, message: str, status_code: int):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class FallbackToCache(enum.Enum):
+    ON_ERROR = "on-error"
+    NEVER = "never"
+
+
+class UseCache(enum.Enum):
+    IF_PRESENT = "if-present"
+    NEVER = "never"
+
+
+class SocialMediaProfiles(BaseModel):
+    """Social media profiles model."""
+
+    twitter: Optional[str] = None
+    facebook: Optional[str] = None
+    github: Optional[str] = None
+
+
+class Experience(BaseModel):
+    """Experience model for LinkedIn profiles."""
+
+    company: Optional[str] = None
+    title: Optional[str] = None
+    description: Optional[str] = None
+    location: Optional[str] = None
+    starts_at: Optional[dict[str, int]] = None
+    ends_at: Optional[dict[str, int]] = None
+    company_linkedin_profile_url: Optional[str] = None
+
+
+class Education(BaseModel):
+    """Education model for LinkedIn profiles."""
+
+    school: Optional[str] = None
+    degree_name: Optional[str] = None
+    field_of_study: Optional[str] = None
+    starts_at: Optional[dict[str, int]] = None
+    ends_at: Optional[dict[str, int]] = None
+    school_linkedin_profile_url: Optional[str] = None
+
+
+class PersonProfileResponse(BaseModel):
+    """Response model for LinkedIn person profile.
+
+    This model represents the response from Enrichlayer's LinkedIn profile API.
+    The API returns comprehensive profile data including work experience,
+    education, skills, and contact information (when available).
+
+    Example API Response:
+    {
+        "public_identifier": "johnsmith",
+        "full_name": "John Smith",
+        "occupation": "Software Engineer at Tech Corp",
+        "experiences": [
+            {
+                "company": "Tech Corp",
+                "title": "Software Engineer",
+                "starts_at": {"year": 2020, "month": 1}
+            }
+        ],
+        "education": [...],
+        "skills": ["Python", "JavaScript", ...]
+    }
+    """
+
+    public_identifier: Optional[str] = None
+    profile_pic_url: Optional[str] = None
+    full_name: Optional[str] = None
+    first_name: Optional[str] = None
+    last_name: Optional[str] = None
+    occupation: Optional[str] = None
+    headline: Optional[str] = None
+    summary: Optional[str] = None
+    country: Optional[str] = None
+    country_full_name: Optional[str] = None
+    city: Optional[str] = None
+    state: Optional[str] = None
+    experiences: Optional[list[Experience]] = None
+    education: Optional[list[Education]] = None
+    languages: Optional[list[str]] = None
+    skills: Optional[list[str]] = None
+    inferred_salary: Optional[dict[str, Any]] = None
+    personal_email: Optional[str] = None
+    personal_contact_number: Optional[str] = None
+    social_media_profiles: Optional[SocialMediaProfiles] = None
+    extra: Optional[dict[str, Any]] = None
+
+
+class SimilarProfile(BaseModel):
+    """Similar profile model for LinkedIn person lookup."""
+
+    similarity: float
+    linkedin_profile_url: str
+
+
+class PersonLookupResponse(BaseModel):
+    """Response model for LinkedIn person lookup.
+
+    This model represents the response from Enrichlayer's person lookup API.
+    The API returns a LinkedIn profile URL and similarity scores when
+    searching for a person by name and company.
+
+    Example API Response:
+    {
+        "url": "https://www.linkedin.com/in/johnsmith/",
+        "name_similarity_score": 0.95,
+        "company_similarity_score": 0.88,
+        "title_similarity_score": 0.75,
+        "location_similarity_score": 0.60
+    }
+    """
+
+    url: str | None = None
+    name_similarity_score: float | None
+    company_similarity_score: float | None
+    title_similarity_score: float | None
+    location_similarity_score: float | None
+    last_updated: datetime.datetime | None = None
+    profile: PersonProfileResponse | None = None
+
+
+class RoleLookupResponse(BaseModel):
+    """Response model for LinkedIn role lookup.
+
+    This model represents the response from Enrichlayer's role lookup API.
+    The API returns LinkedIn profile data for a specific role at a company.
+
+    Example API Response:
+    {
+        "linkedin_profile_url": "https://www.linkedin.com/in/johnsmith/",
+        "profile_data": {...}  // Full PersonProfileResponse data when enrich_profile=True
+    }
+    """
+
+    linkedin_profile_url: Optional[str] = None
+    profile_data: Optional[PersonProfileResponse] = None
+
+
+class ProfilePictureResponse(BaseModel):
+    """Response model for LinkedIn profile picture.
+
+    This model represents the response from Enrichlayer's profile picture API.
+    The API returns a URL to the person's LinkedIn profile picture.
+
+    Example API Response:
+    {
+        "tmp_profile_pic_url": "https://media.licdn.com/dms/image/..."
+    }
+    """
+
+    tmp_profile_pic_url: str = Field(
+        ..., description="URL of the profile picture", alias="tmp_profile_pic_url"
+    )
+
+    @property
+    def profile_picture_url(self) -> str:
+        """Backward compatibility property for profile_picture_url."""
+        return self.tmp_profile_pic_url
+
+
+class EnrichlayerClient:
+    """Client for interacting with the Enrichlayer API."""
+
+    API_BASE_URL = "https://enrichlayer.com/api/v2"
+
+    def __init__(
+        self,
+        credentials: Optional[APIKeyCredentials] = None,
+        custom_requests: Optional[Requests] = None,
+    ):
+        """
+        Initialize the Enrichlayer client.
+
+        Args:
+            credentials: The credentials to use for authentication.
+            custom_requests: Custom Requests instance for testing.
+        """
+        if custom_requests:
+            self._requests = custom_requests
+        else:
+            headers: dict[str, str] = {
+                "Content-Type": "application/json",
+            }
+            if credentials:
+                headers["Authorization"] = (
+                    f"Bearer {credentials.api_key.get_secret_value()}"
+                )
+
+            self._requests = Requests(
+                extra_headers=headers,
+                raise_for_status=False,
+            )
+
+    async def _handle_response(self, response) -> Any:
+        """
+        Handle API response and check for errors.
+
+        Args:
+            response: The response object from the request.
+
+        Returns:
+            The response data.
+
+        Raises:
+            EnrichlayerAPIException: If the API request fails.
+        """
+        if not response.ok:
+            try:
+                error_data = response.json()
+                error_message = error_data.get("message", "")
+            except JSONDecodeError:
+                error_message = response.text
+
+            raise EnrichlayerAPIException(
+                f"Enrichlayer API request failed ({response.status_code}): {error_message}",
+                response.status_code,
+            )
+
+        return response.json()
+
+    async def fetch_profile(
+        self,
+        linkedin_url: str,
+        fallback_to_cache: FallbackToCache = FallbackToCache.ON_ERROR,
+        use_cache: UseCache = UseCache.IF_PRESENT,
+        include_skills: bool = False,
+        include_inferred_salary: bool = False,
+        include_personal_email: bool = False,
+        include_personal_contact_number: bool = False,
+        include_social_media: bool = False,
+        include_extra: bool = False,
+    ) -> PersonProfileResponse:
+        """
+        Fetch a LinkedIn profile with optional parameters.
+
+        Args:
+            linkedin_url: The LinkedIn profile URL to fetch.
+            fallback_to_cache: Cache usage if live fetch fails ('on-error' or 'never').
+            use_cache: Cache utilization ('if-present' or 'never').
+            include_skills: Whether to include skills data.
+            include_inferred_salary: Whether to include inferred salary data.
+            include_personal_email: Whether to include personal email.
+            include_personal_contact_number: Whether to include personal contact number.
+            include_social_media: Whether to include social media profiles.
+            include_extra: Whether to include additional data.
+
+        Returns:
+            The LinkedIn profile data.
+
+        Raises:
+            EnrichlayerAPIException: If the API request fails.
+        """
+        params = {
+            "url": linkedin_url,
+            "fallback_to_cache": fallback_to_cache.value.lower(),
+            "use_cache": use_cache.value.lower(),
+        }
+
+        if include_skills:
+            params["skills"] = "include"
+        if include_inferred_salary:
+            params["inferred_salary"] = "include"
+        if include_personal_email:
+            params["personal_email"] = "include"
+        if include_personal_contact_number:
+            params["personal_contact_number"] = "include"
+        if include_social_media:
+            params["twitter_profile_id"] = "include"
+            params["facebook_profile_id"] = "include"
+            params["github_profile_id"] = "include"
+        if include_extra:
+            params["extra"] = "include"
+
+        response = await self._requests.get(
+            f"{self.API_BASE_URL}/profile", params=params
+        )
+        return PersonProfileResponse(**await self._handle_response(response))
+
+    async def lookup_person(
+        self,
+        first_name: str,
+        company_domain: str,
+        last_name: str | None = None,
+        location: Optional[str] = None,
+        title: Optional[str] = None,
+        include_similarity_checks: bool = False,
+        enrich_profile: bool = False,
+    ) -> PersonLookupResponse:
+        """
+        Look up a LinkedIn profile by person's information.
+
+        Args:
+            first_name: The person's first name.
+            last_name: The person's last name.
+            company_domain: The domain of the company they work for.
+            location: The person's location.
+            title: The person's job title.
+            include_similarity_checks: Whether to include similarity checks.
+            enrich_profile: Whether to enrich the profile.
+
+        Returns:
+            The LinkedIn profile lookup result.
+
+        Raises:
+            EnrichlayerAPIException: If the API request fails.
+        """
+        params = {"first_name": first_name, "company_domain": company_domain}
+
+        if last_name:
+            params["last_name"] = last_name
+        if location:
+            params["location"] = location
+        if title:
+            params["title"] = title
+        if include_similarity_checks:
+            params["similarity_checks"] = "include"
+        if enrich_profile:
+            params["enrich_profile"] = "enrich"
+
+        response = await self._requests.get(
+            f"{self.API_BASE_URL}/profile/resolve", params=params
+        )
+        return PersonLookupResponse(**await self._handle_response(response))
+
+    async def lookup_role(
+        self, role: str, company_name: str, enrich_profile: bool = False
+    ) -> RoleLookupResponse:
+        """
+        Look up a LinkedIn profile by role in a company.
+
+        Args:
+            role: The role title (e.g., CEO, CTO).
+            company_name: The name of the company.
+            enrich_profile: Whether to enrich the profile.
+
+        Returns:
+            The LinkedIn profile lookup result.
+
+        Raises:
+            EnrichlayerAPIException: If the API request fails.
+        """
+        params = {
+            "role": role,
+            "company_name": company_name,
+        }
+
+        if enrich_profile:
+            params["enrich_profile"] = "enrich"
+
+        response = await self._requests.get(
+            f"{self.API_BASE_URL}/find/company/role", params=params
+        )
+        return RoleLookupResponse(**await self._handle_response(response))
+
+    async def get_profile_picture(
+        self, linkedin_profile_url: str
+    ) -> ProfilePictureResponse:
+        """
+        Get a LinkedIn profile picture URL.
+
+        Args:
+            linkedin_profile_url: The LinkedIn profile URL.
+
+        Returns:
+            The profile picture URL.
+
+        Raises:
+            EnrichlayerAPIException: If the API request fails.
+        """
+        params = {
+            "linkedin_person_profile_url": linkedin_profile_url,
+        }
+
+        response = await self._requests.get(
+            f"{self.API_BASE_URL}/person/profile-picture", params=params
+        )
+        return ProfilePictureResponse(**await self._handle_response(response))
diff --git a/autogpt_platform/backend/backend/blocks/enrichlayer/_auth.py b/autogpt_platform/backend/backend/blocks/enrichlayer/_auth.py
new file mode 100644
index 000000000000..70413adba4ad
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/enrichlayer/_auth.py
@@ -0,0 +1,34 @@
+"""
+Authentication module for Enrichlayer API integration.
+
+This module provides credential types and test credentials for the Enrichlayer API.
+"""
+
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import APIKeyCredentials, CredentialsMetaInput
+from backend.integrations.providers import ProviderName
+
+# Define the type of credentials input expected for Enrichlayer API
+EnrichlayerCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.ENRICHLAYER], Literal["api_key"]
+]
+
+# Mock credentials for testing Enrichlayer API integration
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="1234a567-89bc-4def-ab12-3456cdef7890",
+    provider="enrichlayer",
+    api_key=SecretStr("mock-enrichlayer-api-key"),
+    title="Mock Enrichlayer API key",
+    expires_at=None,
+)
+
+# Dictionary representation of test credentials for input fields
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
diff --git a/autogpt_platform/backend/backend/blocks/enrichlayer/linkedin.py b/autogpt_platform/backend/backend/blocks/enrichlayer/linkedin.py
new file mode 100644
index 000000000000..52d593eb0ecc
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/enrichlayer/linkedin.py
@@ -0,0 +1,527 @@
+"""
+Block definitions for Enrichlayer API integration.
+
+This module implements blocks for interacting with the Enrichlayer API,
+which provides access to LinkedIn profile data and related information.
+"""
+
+import logging
+from typing import Optional
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import APIKeyCredentials, CredentialsField, SchemaField
+from backend.util.type import MediaFileType
+
+from ._api import (
+    EnrichlayerClient,
+    Experience,
+    FallbackToCache,
+    PersonLookupResponse,
+    PersonProfileResponse,
+    RoleLookupResponse,
+    UseCache,
+)
+from ._auth import TEST_CREDENTIALS, TEST_CREDENTIALS_INPUT, EnrichlayerCredentialsInput
+
+logger = logging.getLogger(__name__)
+
+
+class GetLinkedinProfileBlock(Block):
+    """Block to fetch LinkedIn profile data using Enrichlayer API."""
+
+    class Input(BlockSchema):
+        """Input schema for GetLinkedinProfileBlock."""
+
+        linkedin_url: str = SchemaField(
+            description="LinkedIn profile URL to fetch data from",
+            placeholder="https://www.linkedin.com/in/username/",
+        )
+        fallback_to_cache: FallbackToCache = SchemaField(
+            description="Cache usage if live fetch fails",
+            default=FallbackToCache.ON_ERROR,
+            advanced=True,
+        )
+        use_cache: UseCache = SchemaField(
+            description="Cache utilization strategy",
+            default=UseCache.IF_PRESENT,
+            advanced=True,
+        )
+        include_skills: bool = SchemaField(
+            description="Include skills data",
+            default=False,
+            advanced=True,
+        )
+        include_inferred_salary: bool = SchemaField(
+            description="Include inferred salary data",
+            default=False,
+            advanced=True,
+        )
+        include_personal_email: bool = SchemaField(
+            description="Include personal email",
+            default=False,
+            advanced=True,
+        )
+        include_personal_contact_number: bool = SchemaField(
+            description="Include personal contact number",
+            default=False,
+            advanced=True,
+        )
+        include_social_media: bool = SchemaField(
+            description="Include social media profiles",
+            default=False,
+            advanced=True,
+        )
+        include_extra: bool = SchemaField(
+            description="Include additional data",
+            default=False,
+            advanced=True,
+        )
+        credentials: EnrichlayerCredentialsInput = CredentialsField(
+            description="Enrichlayer API credentials"
+        )
+
+    class Output(BlockSchema):
+        """Output schema for GetLinkedinProfileBlock."""
+
+        profile: PersonProfileResponse = SchemaField(
+            description="LinkedIn profile data"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        """Initialize GetLinkedinProfileBlock."""
+        super().__init__(
+            id="f6e0ac73-4f1d-4acb-b4b7-b67066c5984e",
+            description="Fetch LinkedIn profile data using Enrichlayer",
+            categories={BlockCategory.SOCIAL},
+            input_schema=GetLinkedinProfileBlock.Input,
+            output_schema=GetLinkedinProfileBlock.Output,
+            test_input={
+                "linkedin_url": "https://www.linkedin.com/in/williamhgates/",
+                "include_skills": True,
+                "include_social_media": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                (
+                    "profile",
+                    PersonProfileResponse(
+                        public_identifier="williamhgates",
+                        full_name="Bill Gates",
+                        occupation="Co-chair at Bill & Melinda Gates Foundation",
+                        experiences=[
+                            Experience(
+                                company="Bill & Melinda Gates Foundation",
+                                title="Co-chair",
+                                starts_at={"year": 2000},
+                            )
+                        ],
+                    ),
+                )
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={
+                "_fetch_profile": lambda *args, **kwargs: PersonProfileResponse(
+                    public_identifier="williamhgates",
+                    full_name="Bill Gates",
+                    occupation="Co-chair at Bill & Melinda Gates Foundation",
+                    experiences=[
+                        Experience(
+                            company="Bill & Melinda Gates Foundation",
+                            title="Co-chair",
+                            starts_at={"year": 2000},
+                        )
+                    ],
+                ),
+            },
+        )
+
+    @staticmethod
+    async def _fetch_profile(
+        credentials: APIKeyCredentials,
+        linkedin_url: str,
+        fallback_to_cache: FallbackToCache = FallbackToCache.ON_ERROR,
+        use_cache: UseCache = UseCache.IF_PRESENT,
+        include_skills: bool = False,
+        include_inferred_salary: bool = False,
+        include_personal_email: bool = False,
+        include_personal_contact_number: bool = False,
+        include_social_media: bool = False,
+        include_extra: bool = False,
+    ):
+        client = EnrichlayerClient(credentials)
+        profile = await client.fetch_profile(
+            linkedin_url=linkedin_url,
+            fallback_to_cache=fallback_to_cache,
+            use_cache=use_cache,
+            include_skills=include_skills,
+            include_inferred_salary=include_inferred_salary,
+            include_personal_email=include_personal_email,
+            include_personal_contact_number=include_personal_contact_number,
+            include_social_media=include_social_media,
+            include_extra=include_extra,
+        )
+        return profile
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        """
+        Run the block to fetch LinkedIn profile data.
+
+        Args:
+            input_data: Input parameters for the block
+            credentials: API key credentials for Enrichlayer
+            **kwargs: Additional keyword arguments
+
+        Yields:
+            Tuples of (output_name, output_value)
+        """
+        try:
+            profile = await self._fetch_profile(
+                credentials=credentials,
+                linkedin_url=input_data.linkedin_url,
+                fallback_to_cache=input_data.fallback_to_cache,
+                use_cache=input_data.use_cache,
+                include_skills=input_data.include_skills,
+                include_inferred_salary=input_data.include_inferred_salary,
+                include_personal_email=input_data.include_personal_email,
+                include_personal_contact_number=input_data.include_personal_contact_number,
+                include_social_media=input_data.include_social_media,
+                include_extra=input_data.include_extra,
+            )
+            yield "profile", profile
+        except Exception as e:
+            logger.error(f"Error fetching LinkedIn profile: {str(e)}")
+            yield "error", str(e)
+
+
+class LinkedinPersonLookupBlock(Block):
+    """Block to look up LinkedIn profiles by person's information using Enrichlayer API."""
+
+    class Input(BlockSchema):
+        """Input schema for LinkedinPersonLookupBlock."""
+
+        first_name: str = SchemaField(
+            description="Person's first name",
+            placeholder="John",
+            advanced=False,
+        )
+        last_name: str | None = SchemaField(
+            description="Person's last name",
+            placeholder="Doe",
+            default=None,
+            advanced=False,
+        )
+        company_domain: str = SchemaField(
+            description="Domain of the company they work for (optional)",
+            placeholder="example.com",
+            advanced=False,
+        )
+        location: Optional[str] = SchemaField(
+            description="Person's location (optional)",
+            placeholder="San Francisco",
+            default=None,
+        )
+        title: Optional[str] = SchemaField(
+            description="Person's job title (optional)",
+            placeholder="CEO",
+            default=None,
+        )
+        include_similarity_checks: bool = SchemaField(
+            description="Include similarity checks",
+            default=False,
+            advanced=True,
+        )
+        enrich_profile: bool = SchemaField(
+            description="Enrich the profile with additional data",
+            default=False,
+            advanced=True,
+        )
+        credentials: EnrichlayerCredentialsInput = CredentialsField(
+            description="Enrichlayer API credentials"
+        )
+
+    class Output(BlockSchema):
+        """Output schema for LinkedinPersonLookupBlock."""
+
+        lookup_result: PersonLookupResponse = SchemaField(
+            description="LinkedIn profile lookup result"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        """Initialize LinkedinPersonLookupBlock."""
+        super().__init__(
+            id="d237a98a-5c4b-4a1c-b9e3-e6f9a6c81df7",
+            description="Look up LinkedIn profiles by person information using Enrichlayer",
+            categories={BlockCategory.SOCIAL},
+            input_schema=LinkedinPersonLookupBlock.Input,
+            output_schema=LinkedinPersonLookupBlock.Output,
+            test_input={
+                "first_name": "Bill",
+                "last_name": "Gates",
+                "company_domain": "gatesfoundation.org",
+                "include_similarity_checks": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                (
+                    "lookup_result",
+                    PersonLookupResponse(
+                        url="https://www.linkedin.com/in/williamhgates/",
+                        name_similarity_score=0.93,
+                        company_similarity_score=0.83,
+                        title_similarity_score=0.3,
+                        location_similarity_score=0.20,
+                    ),
+                )
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={
+                "_lookup_person": lambda *args, **kwargs: PersonLookupResponse(
+                    url="https://www.linkedin.com/in/williamhgates/",
+                    name_similarity_score=0.93,
+                    company_similarity_score=0.83,
+                    title_similarity_score=0.3,
+                    location_similarity_score=0.20,
+                )
+            },
+        )
+
+    @staticmethod
+    async def _lookup_person(
+        credentials: APIKeyCredentials,
+        first_name: str,
+        company_domain: str,
+        last_name: str | None = None,
+        location: Optional[str] = None,
+        title: Optional[str] = None,
+        include_similarity_checks: bool = False,
+        enrich_profile: bool = False,
+    ):
+        client = EnrichlayerClient(credentials=credentials)
+        lookup_result = await client.lookup_person(
+            first_name=first_name,
+            last_name=last_name,
+            company_domain=company_domain,
+            location=location,
+            title=title,
+            include_similarity_checks=include_similarity_checks,
+            enrich_profile=enrich_profile,
+        )
+        return lookup_result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        """
+        Run the block to look up LinkedIn profiles.
+
+        Args:
+            input_data: Input parameters for the block
+            credentials: API key credentials for Enrichlayer
+            **kwargs: Additional keyword arguments
+
+        Yields:
+            Tuples of (output_name, output_value)
+        """
+        try:
+            lookup_result = await self._lookup_person(
+                credentials=credentials,
+                first_name=input_data.first_name,
+                last_name=input_data.last_name,
+                company_domain=input_data.company_domain,
+                location=input_data.location,
+                title=input_data.title,
+                include_similarity_checks=input_data.include_similarity_checks,
+                enrich_profile=input_data.enrich_profile,
+            )
+            yield "lookup_result", lookup_result
+        except Exception as e:
+            logger.error(f"Error looking up LinkedIn profile: {str(e)}")
+            yield "error", str(e)
+
+
+class LinkedinRoleLookupBlock(Block):
+    """Block to look up LinkedIn profiles by role in a company using Enrichlayer API."""
+
+    class Input(BlockSchema):
+        """Input schema for LinkedinRoleLookupBlock."""
+
+        role: str = SchemaField(
+            description="Role title (e.g., CEO, CTO)",
+            placeholder="CEO",
+        )
+        company_name: str = SchemaField(
+            description="Name of the company",
+            placeholder="Microsoft",
+        )
+        enrich_profile: bool = SchemaField(
+            description="Enrich the profile with additional data",
+            default=False,
+            advanced=True,
+        )
+        credentials: EnrichlayerCredentialsInput = CredentialsField(
+            description="Enrichlayer API credentials"
+        )
+
+    class Output(BlockSchema):
+        """Output schema for LinkedinRoleLookupBlock."""
+
+        role_lookup_result: RoleLookupResponse = SchemaField(
+            description="LinkedIn role lookup result"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        """Initialize LinkedinRoleLookupBlock."""
+        super().__init__(
+            id="3b9fc742-06d4-49c7-b5ce-7e302dd7c8a7",
+            description="Look up LinkedIn profiles by role in a company using Enrichlayer",
+            categories={BlockCategory.SOCIAL},
+            input_schema=LinkedinRoleLookupBlock.Input,
+            output_schema=LinkedinRoleLookupBlock.Output,
+            test_input={
+                "role": "Co-chair",
+                "company_name": "Gates Foundation",
+                "enrich_profile": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                (
+                    "role_lookup_result",
+                    RoleLookupResponse(
+                        linkedin_profile_url="https://www.linkedin.com/in/williamhgates/",
+                    ),
+                )
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={
+                "_lookup_role": lambda *args, **kwargs: RoleLookupResponse(
+                    linkedin_profile_url="https://www.linkedin.com/in/williamhgates/",
+                ),
+            },
+        )
+
+    @staticmethod
+    async def _lookup_role(
+        credentials: APIKeyCredentials,
+        role: str,
+        company_name: str,
+        enrich_profile: bool = False,
+    ):
+        client = EnrichlayerClient(credentials=credentials)
+        role_lookup_result = await client.lookup_role(
+            role=role,
+            company_name=company_name,
+            enrich_profile=enrich_profile,
+        )
+        return role_lookup_result
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        """
+        Run the block to look up LinkedIn profiles by role.
+
+        Args:
+            input_data: Input parameters for the block
+            credentials: API key credentials for Enrichlayer
+            **kwargs: Additional keyword arguments
+
+        Yields:
+            Tuples of (output_name, output_value)
+        """
+        try:
+            role_lookup_result = await self._lookup_role(
+                credentials=credentials,
+                role=input_data.role,
+                company_name=input_data.company_name,
+                enrich_profile=input_data.enrich_profile,
+            )
+            yield "role_lookup_result", role_lookup_result
+        except Exception as e:
+            logger.error(f"Error looking up role in company: {str(e)}")
+            yield "error", str(e)
+
+
+class GetLinkedinProfilePictureBlock(Block):
+    """Block to get LinkedIn profile pictures using Enrichlayer API."""
+
+    class Input(BlockSchema):
+        """Input schema for GetLinkedinProfilePictureBlock."""
+
+        linkedin_profile_url: str = SchemaField(
+            description="LinkedIn profile URL",
+            placeholder="https://www.linkedin.com/in/username/",
+        )
+        credentials: EnrichlayerCredentialsInput = CredentialsField(
+            description="Enrichlayer API credentials"
+        )
+
+    class Output(BlockSchema):
+        """Output schema for GetLinkedinProfilePictureBlock."""
+
+        profile_picture_url: MediaFileType = SchemaField(
+            description="LinkedIn profile picture URL"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        """Initialize GetLinkedinProfilePictureBlock."""
+        super().__init__(
+            id="68d5a942-9b3f-4e9a-b7c1-d96ea4321f0d",
+            description="Get LinkedIn profile pictures using Enrichlayer",
+            categories={BlockCategory.SOCIAL},
+            input_schema=GetLinkedinProfilePictureBlock.Input,
+            output_schema=GetLinkedinProfilePictureBlock.Output,
+            test_input={
+                "linkedin_profile_url": "https://www.linkedin.com/in/williamhgates/",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                (
+                    "profile_picture_url",
+                    "https://media.licdn.com/dms/image/C4D03AQFj-xjuXrLFSQ/profile-displayphoto-shrink_800_800/0/1576881858598?e=1686787200&v=beta&t=zrQC76QwsfQQIWthfOnrKRBMZ5D-qIAvzLXLmWgYvTk",
+                )
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={
+                "_get_profile_picture": lambda *args, **kwargs: "https://media.licdn.com/dms/image/C4D03AQFj-xjuXrLFSQ/profile-displayphoto-shrink_800_800/0/1576881858598?e=1686787200&v=beta&t=zrQC76QwsfQQIWthfOnrKRBMZ5D-qIAvzLXLmWgYvTk",
+            },
+        )
+
+    @staticmethod
+    async def _get_profile_picture(
+        credentials: APIKeyCredentials, linkedin_profile_url: str
+    ):
+        client = EnrichlayerClient(credentials=credentials)
+        profile_picture_response = await client.get_profile_picture(
+            linkedin_profile_url=linkedin_profile_url,
+        )
+        return profile_picture_response.profile_picture_url
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        """
+        Run the block to get LinkedIn profile pictures.
+
+        Args:
+            input_data: Input parameters for the block
+            credentials: API key credentials for Enrichlayer
+            **kwargs: Additional keyword arguments
+
+        Yields:
+            Tuples of (output_name, output_value)
+        """
+        try:
+            profile_picture = await self._get_profile_picture(
+                credentials=credentials,
+                linkedin_profile_url=input_data.linkedin_profile_url,
+            )
+            yield "profile_picture_url", profile_picture
+        except Exception as e:
+            logger.error(f"Error getting profile picture: {str(e)}")
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/exa/_auth.py b/autogpt_platform/backend/backend/blocks/exa/_auth.py
deleted file mode 100644
index 7b826ef408b2..000000000000
--- a/autogpt_platform/backend/backend/blocks/exa/_auth.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from typing import Literal
-
-from pydantic import SecretStr
-
-from backend.data.model import APIKeyCredentials, CredentialsField, CredentialsMetaInput
-from backend.integrations.providers import ProviderName
-
-ExaCredentials = APIKeyCredentials
-ExaCredentialsInput = CredentialsMetaInput[
-    Literal[ProviderName.EXA],
-    Literal["api_key"],
-]
-
-TEST_CREDENTIALS = APIKeyCredentials(
-    id="01234567-89ab-cdef-0123-456789abcdef",
-    provider="exa",
-    api_key=SecretStr("mock-exa-api-key"),
-    title="Mock Exa API key",
-    expires_at=None,
-)
-
-TEST_CREDENTIALS_INPUT = {
-    "provider": TEST_CREDENTIALS.provider,
-    "id": TEST_CREDENTIALS.id,
-    "type": TEST_CREDENTIALS.type,
-    "title": TEST_CREDENTIALS.title,
-}
-
-
-def ExaCredentialsField() -> ExaCredentialsInput:
-    """Creates an Exa credentials input on a block."""
-    return CredentialsField(description="The Exa integration requires an API Key.")
diff --git a/autogpt_platform/backend/backend/blocks/exa/_config.py b/autogpt_platform/backend/backend/blocks/exa/_config.py
new file mode 100644
index 000000000000..bca636b2a8af
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/_config.py
@@ -0,0 +1,16 @@
+"""
+Shared configuration for all Exa blocks using the new SDK pattern.
+"""
+
+from backend.sdk import BlockCostType, ProviderBuilder
+
+from ._webhook import ExaWebhookManager
+
+# Configure the Exa provider once for all blocks
+exa = (
+    ProviderBuilder("exa")
+    .with_api_key("EXA_API_KEY", "Exa API Key")
+    .with_webhook_manager(ExaWebhookManager)
+    .with_base_cost(1, BlockCostType.RUN)
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/exa/_webhook.py b/autogpt_platform/backend/backend/blocks/exa/_webhook.py
new file mode 100644
index 000000000000..725976c68c79
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/_webhook.py
@@ -0,0 +1,136 @@
+"""
+Exa Webhook Manager implementation.
+"""
+
+import hashlib
+import hmac
+from enum import Enum
+
+from backend.data.model import Credentials
+from backend.sdk import (
+    APIKeyCredentials,
+    BaseWebhooksManager,
+    ProviderName,
+    Requests,
+    Webhook,
+)
+
+
+class ExaWebhookType(str, Enum):
+    """Available webhook types for Exa."""
+
+    WEBSET = "webset"
+
+
+class ExaEventType(str, Enum):
+    """Available event types for Exa webhooks."""
+
+    WEBSET_CREATED = "webset.created"
+    WEBSET_DELETED = "webset.deleted"
+    WEBSET_PAUSED = "webset.paused"
+    WEBSET_IDLE = "webset.idle"
+    WEBSET_SEARCH_CREATED = "webset.search.created"
+    WEBSET_SEARCH_CANCELED = "webset.search.canceled"
+    WEBSET_SEARCH_COMPLETED = "webset.search.completed"
+    WEBSET_SEARCH_UPDATED = "webset.search.updated"
+    IMPORT_CREATED = "import.created"
+    IMPORT_COMPLETED = "import.completed"
+    IMPORT_PROCESSING = "import.processing"
+    WEBSET_ITEM_CREATED = "webset.item.created"
+    WEBSET_ITEM_ENRICHED = "webset.item.enriched"
+    WEBSET_EXPORT_CREATED = "webset.export.created"
+    WEBSET_EXPORT_COMPLETED = "webset.export.completed"
+
+
+class ExaWebhookManager(BaseWebhooksManager):
+    """Webhook manager for Exa API."""
+
+    PROVIDER_NAME = ProviderName("exa")
+
+    class WebhookType(str, Enum):
+        WEBSET = "webset"
+
+    @classmethod
+    async def validate_payload(
+        cls, webhook: Webhook, request, credentials: Credentials | None
+    ) -> tuple[dict, str]:
+        """Validate incoming webhook payload and signature."""
+        payload = await request.json()
+
+        # Get event type from payload
+        event_type = payload.get("eventType", "unknown")
+
+        # Verify webhook signature if secret is available
+        if webhook.secret:
+            signature = request.headers.get("X-Exa-Signature")
+            if signature:
+                # Compute expected signature
+                body = await request.body()
+                expected_signature = hmac.new(
+                    webhook.secret.encode(), body, hashlib.sha256
+                ).hexdigest()
+
+                # Compare signatures
+                if not hmac.compare_digest(signature, expected_signature):
+                    raise ValueError("Invalid webhook signature")
+
+        return payload, event_type
+
+    async def _register_webhook(
+        self,
+        credentials: Credentials,
+        webhook_type: str,
+        resource: str,
+        events: list[str],
+        ingress_url: str,
+        secret: str,
+    ) -> tuple[str, dict]:
+        """Register webhook with Exa API."""
+        if not isinstance(credentials, APIKeyCredentials):
+            raise ValueError("Exa webhooks require API key credentials")
+        api_key = credentials.api_key.get_secret_value()
+
+        # Create webhook via Exa API
+        response = await Requests().post(
+            "https://api.exa.ai/v0/webhooks",
+            headers={"x-api-key": api_key},
+            json={
+                "url": ingress_url,
+                "events": events,
+                "metadata": {
+                    "resource": resource,
+                    "webhook_type": webhook_type,
+                },
+            },
+        )
+
+        if not response.ok:
+            error_data = response.json()
+            raise Exception(f"Failed to create Exa webhook: {error_data}")
+
+        webhook_data = response.json()
+
+        # Store the secret returned by Exa
+        return webhook_data["id"], {
+            "events": events,
+            "resource": resource,
+            "exa_secret": webhook_data.get("secret"),
+        }
+
+    async def _deregister_webhook(
+        self, webhook: Webhook, credentials: Credentials
+    ) -> None:
+        """Deregister webhook from Exa API."""
+        if not isinstance(credentials, APIKeyCredentials):
+            raise ValueError("Exa webhooks require API key credentials")
+        api_key = credentials.api_key.get_secret_value()
+
+        # Delete webhook via Exa API
+        response = await Requests().delete(
+            f"https://api.exa.ai/v0/webhooks/{webhook.provider_webhook_id}",
+            headers={"x-api-key": api_key},
+        )
+
+        if not response.ok and response.status != 404:
+            error_data = response.json()
+            raise Exception(f"Failed to delete Exa webhook: {error_data}")
diff --git a/autogpt_platform/backend/backend/blocks/exa/answers.py b/autogpt_platform/backend/backend/blocks/exa/answers.py
new file mode 100644
index 000000000000..fa3f6b403f44
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/answers.py
@@ -0,0 +1,121 @@
+from backend.sdk import (
+    APIKeyCredentials,
+    BaseModel,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    Requests,
+    SchemaField,
+)
+
+from ._config import exa
+
+
+class CostBreakdown(BaseModel):
+    keywordSearch: float
+    neuralSearch: float
+    contentText: float
+    contentHighlight: float
+    contentSummary: float
+
+
+class SearchBreakdown(BaseModel):
+    search: float
+    contents: float
+    breakdown: CostBreakdown
+
+
+class PerRequestPrices(BaseModel):
+    neuralSearch_1_25_results: float
+    neuralSearch_26_100_results: float
+    neuralSearch_100_plus_results: float
+    keywordSearch_1_100_results: float
+    keywordSearch_100_plus_results: float
+
+
+class PerPagePrices(BaseModel):
+    contentText: float
+    contentHighlight: float
+    contentSummary: float
+
+
+class CostDollars(BaseModel):
+    total: float
+    breakDown: list[SearchBreakdown]
+    perRequestPrices: PerRequestPrices
+    perPagePrices: PerPagePrices
+
+
+class ExaAnswerBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        query: str = SchemaField(
+            description="The question or query to answer",
+            placeholder="What is the latest valuation of SpaceX?",
+        )
+        text: bool = SchemaField(
+            default=False,
+            description="If true, the response includes full text content in the search results",
+            advanced=True,
+        )
+        model: str = SchemaField(
+            default="exa",
+            description="The search model to use (exa or exa-pro)",
+            placeholder="exa",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        answer: str = SchemaField(
+            description="The generated answer based on search results"
+        )
+        citations: list[dict] = SchemaField(
+            description="Search results used to generate the answer",
+            default_factory=list,
+        )
+        cost_dollars: CostDollars = SchemaField(
+            description="Cost breakdown of the request"
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="b79ca4cc-9d5e-47d1-9d4f-e3a2d7f28df5",
+            description="Get an LLM answer to a question informed by Exa search results",
+            categories={BlockCategory.SEARCH, BlockCategory.AI},
+            input_schema=ExaAnswerBlock.Input,
+            output_schema=ExaAnswerBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = "https://api.exa.ai/answer"
+        headers = {
+            "Content-Type": "application/json",
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        # Build the payload
+        payload = {
+            "query": input_data.query,
+            "text": input_data.text,
+            "model": input_data.model,
+        }
+
+        try:
+            response = await Requests().post(url, headers=headers, json=payload)
+            data = response.json()
+
+            yield "answer", data.get("answer", "")
+            yield "citations", data.get("citations", [])
+            yield "cost_dollars", data.get("costDollars", {})
+
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/exa/contents.py b/autogpt_platform/backend/backend/blocks/exa/contents.py
new file mode 100644
index 000000000000..ec537232d2e4
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/contents.py
@@ -0,0 +1,69 @@
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    Requests,
+    SchemaField,
+)
+
+from ._config import exa
+from .helpers import ContentSettings
+
+
+class ExaContentsBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        ids: list[str] = SchemaField(
+            description="Array of document IDs obtained from searches"
+        )
+        contents: ContentSettings = SchemaField(
+            description="Content retrieval settings",
+            default=ContentSettings(),
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        results: list = SchemaField(
+            description="List of document contents", default_factory=list
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="c52be83f-f8cd-4180-b243-af35f986b461",
+            description="Retrieves document contents using Exa's contents API",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaContentsBlock.Input,
+            output_schema=ExaContentsBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = "https://api.exa.ai/contents"
+        headers = {
+            "Content-Type": "application/json",
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        # Convert ContentSettings to API format
+        payload = {
+            "ids": input_data.ids,
+            "text": input_data.contents.text,
+            "highlights": input_data.contents.highlights,
+            "summary": input_data.contents.summary,
+        }
+
+        try:
+            response = await Requests().post(url, headers=headers, json=payload)
+            data = response.json()
+            yield "results", data.get("results", [])
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/exa/helpers.py b/autogpt_platform/backend/backend/blocks/exa/helpers.py
new file mode 100644
index 000000000000..d32ea2dc642e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/helpers.py
@@ -0,0 +1,129 @@
+from typing import Optional
+
+from backend.sdk import BaseModel, SchemaField
+
+
+class TextSettings(BaseModel):
+    max_characters: int = SchemaField(
+        default=1000,
+        description="Maximum number of characters to return",
+        placeholder="1000",
+    )
+    include_html_tags: bool = SchemaField(
+        default=False,
+        description="Whether to include HTML tags in the text",
+        placeholder="False",
+    )
+
+
+class HighlightSettings(BaseModel):
+    num_sentences: int = SchemaField(
+        default=3,
+        description="Number of sentences per highlight",
+        placeholder="3",
+    )
+    highlights_per_url: int = SchemaField(
+        default=3,
+        description="Number of highlights per URL",
+        placeholder="3",
+    )
+
+
+class SummarySettings(BaseModel):
+    query: Optional[str] = SchemaField(
+        default="",
+        description="Query string for summarization",
+        placeholder="Enter query",
+    )
+
+
+class ContentSettings(BaseModel):
+    text: TextSettings = SchemaField(
+        default=TextSettings(),
+    )
+    highlights: HighlightSettings = SchemaField(
+        default=HighlightSettings(),
+    )
+    summary: SummarySettings = SchemaField(
+        default=SummarySettings(),
+    )
+
+
+# Websets Models
+class WebsetEntitySettings(BaseModel):
+    type: Optional[str] = SchemaField(
+        default=None,
+        description="Entity type (e.g., 'company', 'person')",
+        placeholder="company",
+    )
+
+
+class WebsetCriterion(BaseModel):
+    description: str = SchemaField(
+        description="Description of the criterion",
+        placeholder="Must be based in the US",
+    )
+    success_rate: Optional[int] = SchemaField(
+        default=None,
+        description="Success rate percentage",
+        ge=0,
+        le=100,
+    )
+
+
+class WebsetSearchConfig(BaseModel):
+    query: str = SchemaField(
+        description="Search query",
+        placeholder="Marketing agencies based in the US",
+    )
+    count: int = SchemaField(
+        default=10,
+        description="Number of results to return",
+        ge=1,
+        le=100,
+    )
+    entity: Optional[WebsetEntitySettings] = SchemaField(
+        default=None,
+        description="Entity settings for the search",
+    )
+    criteria: Optional[list[WebsetCriterion]] = SchemaField(
+        default=None,
+        description="Search criteria",
+    )
+    behavior: Optional[str] = SchemaField(
+        default="override",
+        description="Behavior when updating results ('override' or 'append')",
+        placeholder="override",
+    )
+
+
+class EnrichmentOption(BaseModel):
+    label: str = SchemaField(
+        description="Label for the enrichment option",
+        placeholder="Option 1",
+    )
+
+
+class WebsetEnrichmentConfig(BaseModel):
+    title: str = SchemaField(
+        description="Title of the enrichment",
+        placeholder="Company Details",
+    )
+    description: str = SchemaField(
+        description="Description of what this enrichment does",
+        placeholder="Extract company information",
+    )
+    format: str = SchemaField(
+        default="text",
+        description="Format of the enrichment result",
+        placeholder="text",
+    )
+    instructions: Optional[str] = SchemaField(
+        default=None,
+        description="Instructions for the enrichment",
+        placeholder="Extract key company metrics",
+    )
+    options: Optional[list[EnrichmentOption]] = SchemaField(
+        default=None,
+        description="Options for the enrichment",
+    )
diff --git a/autogpt_platform/backend/backend/blocks/exa/model.py b/autogpt_platform/backend/backend/blocks/exa/model.py
new file mode 100644
index 000000000000..69b223f46743
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/model.py
@@ -0,0 +1,247 @@
+from datetime import datetime
+from enum import Enum
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field
+
+
+# Enum definitions based on available options
+class WebsetStatus(str, Enum):
+    IDLE = "idle"
+    PENDING = "pending"
+    RUNNING = "running"
+    PAUSED = "paused"
+
+
+class WebsetSearchStatus(str, Enum):
+    CREATED = "created"
+    # Add more if known, based on example it's "created"
+
+
+class ImportStatus(str, Enum):
+    PENDING = "pending"
+    # Add more if known
+
+
+class ImportFormat(str, Enum):
+    CSV = "csv"
+    # Add more if known
+
+
+class EnrichmentStatus(str, Enum):
+    PENDING = "pending"
+    # Add more if known
+
+
+class EnrichmentFormat(str, Enum):
+    TEXT = "text"
+    # Add more if known
+
+
+class MonitorStatus(str, Enum):
+    ENABLED = "enabled"
+    # Add more if known
+
+
+class MonitorBehaviorType(str, Enum):
+    SEARCH = "search"
+    # Add more if known
+
+
+class MonitorRunStatus(str, Enum):
+    CREATED = "created"
+    # Add more if known
+
+
+class CanceledReason(str, Enum):
+    WEBSET_DELETED = "webset_deleted"
+    # Add more if known
+
+
+class FailedReason(str, Enum):
+    INVALID_FORMAT = "invalid_format"
+    # Add more if known
+
+
+class Confidence(str, Enum):
+    HIGH = "high"
+    # Add more if known
+
+
+# Nested models
+
+
+class Entity(BaseModel):
+    type: str
+
+
+class Criterion(BaseModel):
+    description: str
+    successRate: Optional[int] = None
+
+
+class ExcludeItem(BaseModel):
+    source: str = Field(default="import")
+    id: str
+
+
+class Relationship(BaseModel):
+    definition: str
+    limit: Optional[float] = None
+
+
+class ScopeItem(BaseModel):
+    source: str = Field(default="import")
+    id: str
+    relationship: Optional[Relationship] = None
+
+
+class Progress(BaseModel):
+    found: int
+    analyzed: int
+    completion: int
+    timeLeft: int
+
+
+class Bounds(BaseModel):
+    min: int
+    max: int
+
+
+class Expected(BaseModel):
+    total: int
+    confidence: str = Field(default="high")  # Use str or Confidence enum
+    bounds: Bounds
+
+
+class Recall(BaseModel):
+    expected: Expected
+    reasoning: str
+
+
+class WebsetSearch(BaseModel):
+    id: str
+    object: str = Field(default="webset_search")
+    status: str = Field(default="created")  # Or use WebsetSearchStatus
+    websetId: str
+    query: str
+    entity: Entity
+    criteria: List[Criterion]
+    count: int
+    behavior: str = Field(default="override")
+    exclude: List[ExcludeItem]
+    scope: List[ScopeItem]
+    progress: Progress
+    recall: Recall
+    metadata: Dict[str, Any] = Field(default_factory=dict)
+    canceledAt: Optional[datetime] = None
+    canceledReason: Optional[str] = Field(default=None)  # Or use CanceledReason
+    createdAt: datetime
+    updatedAt: datetime
+
+
+class ImportEntity(BaseModel):
+    type: str
+
+
+class Import(BaseModel):
+    id: str
+    object: str = Field(default="import")
+    status: str = Field(default="pending")  # Or use ImportStatus
+    format: str = Field(default="csv")  # Or use ImportFormat
+    entity: ImportEntity
+    title: str
+    count: int
+    metadata: Dict[str, Any] = Field(default_factory=dict)
+    failedReason: Optional[str] = Field(default=None)  # Or use FailedReason
+    failedAt: Optional[datetime] = None
+    failedMessage: Optional[str] = None
+    createdAt: datetime
+    updatedAt: datetime
+
+
+class Option(BaseModel):
+    label: str
+
+
+class WebsetEnrichment(BaseModel):
+    id: str
+    object: str = Field(default="webset_enrichment")
+    status: str = Field(default="pending")  # Or use EnrichmentStatus
+    websetId: str
+    title: str
+    description: str
+    format: str = Field(default="text")  # Or use EnrichmentFormat
+    options: List[Option]
+    instructions: str
+    metadata: Dict[str, Any] = Field(default_factory=dict)
+    createdAt: datetime
+    updatedAt: datetime
+
+
+class Cadence(BaseModel):
+    cron: str
+    timezone: str = Field(default="Etc/UTC")
+
+
+class BehaviorConfig(BaseModel):
+    query: Optional[str] = None
+    criteria: Optional[List[Criterion]] = None
+    entity: Optional[Entity] = None
+    count: Optional[int] = None
+    behavior: Optional[str] = Field(default=None)
+
+
+class Behavior(BaseModel):
+    type: str = Field(default="search")  # Or use MonitorBehaviorType
+    config: BehaviorConfig
+
+
+class MonitorRun(BaseModel):
+    id: str
+    object: str = Field(default="monitor_run")
+    status: str = Field(default="created")  # Or use MonitorRunStatus
+    monitorId: str
+    type: str = Field(default="search")
+    completedAt: Optional[datetime] = None
+    failedAt: Optional[datetime] = None
+    failedReason: Optional[str] = None
+    canceledAt: Optional[datetime] = None
+    createdAt: datetime
+    updatedAt: datetime
+
+
+class Monitor(BaseModel):
+    id: str
+    object: str = Field(default="monitor")
+    status: str = Field(default="enabled")  # Or use MonitorStatus
+    websetId: str
+    cadence: Cadence
+    behavior: Behavior
+    lastRun: Optional[MonitorRun] = None
+    nextRunAt: Optional[datetime] = None
+    metadata: Dict[str, Any] = Field(default_factory=dict)
+    createdAt: datetime
+    updatedAt: datetime
+
+
+class Webset(BaseModel):
+    id: str
+    object: str = Field(default="webset")
+    status: WebsetStatus
+    externalId: Optional[str] = None
+    title: Optional[str] = None
+    searches: List[WebsetSearch]
+    imports: List[Import]
+    enrichments: List[WebsetEnrichment]
+    monitors: List[Monitor]
+    streams: List[Any]
+    createdAt: datetime
+    updatedAt: datetime
+    metadata: Dict[str, Any] = Field(default_factory=dict)
+
+
+class ListWebsets(BaseModel):
+    data: List[Webset]
+    hasMore: bool
+    nextCursor: Optional[str] = None
diff --git a/autogpt_platform/backend/backend/blocks/exa/search.py b/autogpt_platform/backend/backend/blocks/exa/search.py
index ed3270f46a81..4bc772f7f7ba 100644
--- a/autogpt_platform/backend/backend/blocks/exa/search.py
+++ b/autogpt_platform/backend/backend/blocks/exa/search.py
@@ -1,90 +1,74 @@
 from datetime import datetime
-from typing import List
 
-from pydantic import BaseModel
-
-from backend.blocks.exa._auth import (
-    ExaCredentials,
-    ExaCredentialsField,
-    ExaCredentialsInput,
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    Requests,
+    SchemaField,
 )
-from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import SchemaField
-from backend.util.request import requests
-
 
-class ContentSettings(BaseModel):
-    text: dict = SchemaField(
-        description="Text content settings",
-        default={"maxCharacters": 1000, "includeHtmlTags": False},
-    )
-    highlights: dict = SchemaField(
-        description="Highlight settings",
-        default={"numSentences": 3, "highlightsPerUrl": 3},
-    )
-    summary: dict = SchemaField(
-        description="Summary settings",
-        default={"query": ""},
-    )
+from ._config import exa
+from .helpers import ContentSettings
 
 
 class ExaSearchBlock(Block):
     class Input(BlockSchema):
-        credentials: ExaCredentialsInput = ExaCredentialsField()
-        query: str = SchemaField(description="The search query")
-        useAutoprompt: bool = SchemaField(
-            description="Whether to use autoprompt",
-            default=True,
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
         )
-        type: str = SchemaField(
-            description="Type of search",
-            default="",
+        query: str = SchemaField(description="The search query")
+        use_auto_prompt: bool = SchemaField(
+            description="Whether to use autoprompt", default=True, advanced=True
         )
+        type: str = SchemaField(description="Type of search", default="", advanced=True)
         category: str = SchemaField(
-            description="Category to search within",
-            default="",
+            description="Category to search within", default="", advanced=True
         )
-        numResults: int = SchemaField(
-            description="Number of results to return",
-            default=10,
+        number_of_results: int = SchemaField(
+            description="Number of results to return", default=10, advanced=True
         )
-        includeDomains: List[str] = SchemaField(
-            description="Domains to include in search",
-            default=[],
+        include_domains: list[str] = SchemaField(
+            description="Domains to include in search", default_factory=list
         )
-        excludeDomains: List[str] = SchemaField(
+        exclude_domains: list[str] = SchemaField(
             description="Domains to exclude from search",
-            default=[],
+            default_factory=list,
+            advanced=True,
         )
-        startCrawlDate: datetime = SchemaField(
-            description="Start date for crawled content",
+        start_crawl_date: datetime = SchemaField(
+            description="Start date for crawled content"
         )
-        endCrawlDate: datetime = SchemaField(
-            description="End date for crawled content",
+        end_crawl_date: datetime = SchemaField(
+            description="End date for crawled content"
         )
-        startPublishedDate: datetime = SchemaField(
-            description="Start date for published content",
+        start_published_date: datetime = SchemaField(
+            description="Start date for published content"
         )
-        endPublishedDate: datetime = SchemaField(
-            description="End date for published content",
+        end_published_date: datetime = SchemaField(
+            description="End date for published content"
         )
-        includeText: List[str] = SchemaField(
-            description="Text patterns to include",
-            default=[],
+        include_text: list[str] = SchemaField(
+            description="Text patterns to include", default_factory=list, advanced=True
         )
-        excludeText: List[str] = SchemaField(
-            description="Text patterns to exclude",
-            default=[],
+        exclude_text: list[str] = SchemaField(
+            description="Text patterns to exclude", default_factory=list, advanced=True
         )
         contents: ContentSettings = SchemaField(
             description="Content retrieval settings",
             default=ContentSettings(),
+            advanced=True,
         )
 
     class Output(BlockSchema):
         results: list = SchemaField(
-            description="List of search results",
-            default=[],
+            description="List of search results", default_factory=list
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed",
         )
 
     def __init__(self):
@@ -96,8 +80,8 @@ def __init__(self):
             output_schema=ExaSearchBlock.Output,
         )
 
-    def run(
-        self, input_data: Input, *, credentials: ExaCredentials, **kwargs
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         url = "https://api.exa.ai/search"
         headers = {
@@ -107,51 +91,43 @@ def run(
 
         payload = {
             "query": input_data.query,
-            "useAutoprompt": input_data.useAutoprompt,
-            "numResults": input_data.numResults,
-            "contents": {
-                "text": {"maxCharacters": 1000, "includeHtmlTags": False},
-                "highlights": {
-                    "numSentences": 3,
-                    "highlightsPerUrl": 3,
-                },
-                "summary": {"query": ""},
-            },
+            "useAutoprompt": input_data.use_auto_prompt,
+            "numResults": input_data.number_of_results,
+            "contents": input_data.contents.model_dump(),
+        }
+
+        date_field_mapping = {
+            "start_crawl_date": "startCrawlDate",
+            "end_crawl_date": "endCrawlDate",
+            "start_published_date": "startPublishedDate",
+            "end_published_date": "endPublishedDate",
         }
 
         # Add dates if they exist
-        date_fields = [
-            "startCrawlDate",
-            "endCrawlDate",
-            "startPublishedDate",
-            "endPublishedDate",
-        ]
-        for field in date_fields:
-            value = getattr(input_data, field, None)
+        for input_field, api_field in date_field_mapping.items():
+            value = getattr(input_data, input_field, None)
             if value:
-                payload[field] = value.strftime("%Y-%m-%dT%H:%M:%S.000Z")
+                payload[api_field] = value.strftime("%Y-%m-%dT%H:%M:%S.000Z")
 
-        # Add other fields
-        optional_fields = [
-            "type",
-            "category",
-            "includeDomains",
-            "excludeDomains",
-            "includeText",
-            "excludeText",
-        ]
+        optional_field_mapping = {
+            "type": "type",
+            "category": "category",
+            "include_domains": "includeDomains",
+            "exclude_domains": "excludeDomains",
+            "include_text": "includeText",
+            "exclude_text": "excludeText",
+        }
 
-        for field in optional_fields:
-            value = getattr(input_data, field)
+        # Add other fields
+        for input_field, api_field in optional_field_mapping.items():
+            value = getattr(input_data, input_field)
             if value:  # Only add non-empty values
-                payload[field] = value
+                payload[api_field] = value
 
         try:
-            response = requests.post(url, headers=headers, json=payload)
-            response.raise_for_status()
+            response = await Requests().post(url, headers=headers, json=payload)
             data = response.json()
             # Extract just the results array from the response
             yield "results", data.get("results", [])
         except Exception as e:
             yield "error", str(e)
-            yield "results", []
diff --git a/autogpt_platform/backend/backend/blocks/exa/similar.py b/autogpt_platform/backend/backend/blocks/exa/similar.py
new file mode 100644
index 000000000000..940b9676c8be
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/similar.py
@@ -0,0 +1,132 @@
+from datetime import datetime
+from typing import Any
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    Requests,
+    SchemaField,
+)
+
+from ._config import exa
+from .helpers import ContentSettings
+
+
+class ExaFindSimilarBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        url: str = SchemaField(
+            description="The url for which you would like to find similar links"
+        )
+        number_of_results: int = SchemaField(
+            description="Number of results to return", default=10, advanced=True
+        )
+        include_domains: list[str] = SchemaField(
+            description="Domains to include in search",
+            default_factory=list,
+            advanced=True,
+        )
+        exclude_domains: list[str] = SchemaField(
+            description="Domains to exclude from search",
+            default_factory=list,
+            advanced=True,
+        )
+        start_crawl_date: datetime = SchemaField(
+            description="Start date for crawled content"
+        )
+        end_crawl_date: datetime = SchemaField(
+            description="End date for crawled content"
+        )
+        start_published_date: datetime = SchemaField(
+            description="Start date for published content"
+        )
+        end_published_date: datetime = SchemaField(
+            description="End date for published content"
+        )
+        include_text: list[str] = SchemaField(
+            description="Text patterns to include (max 1 string, up to 5 words)",
+            default_factory=list,
+            advanced=True,
+        )
+        exclude_text: list[str] = SchemaField(
+            description="Text patterns to exclude (max 1 string, up to 5 words)",
+            default_factory=list,
+            advanced=True,
+        )
+        contents: ContentSettings = SchemaField(
+            description="Content retrieval settings",
+            default=ContentSettings(),
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        results: list[Any] = SchemaField(
+            description="List of similar documents with title, URL, published date, author, and score",
+            default_factory=list,
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="5e7315d1-af61-4a0c-9350-7c868fa7438a",
+            description="Finds similar links using Exa's findSimilar API",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaFindSimilarBlock.Input,
+            output_schema=ExaFindSimilarBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = "https://api.exa.ai/findSimilar"
+        headers = {
+            "Content-Type": "application/json",
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        payload = {
+            "url": input_data.url,
+            "numResults": input_data.number_of_results,
+            "contents": input_data.contents.model_dump(),
+        }
+
+        optional_field_mapping = {
+            "include_domains": "includeDomains",
+            "exclude_domains": "excludeDomains",
+            "include_text": "includeText",
+            "exclude_text": "excludeText",
+        }
+
+        # Add optional fields if they have values
+        for input_field, api_field in optional_field_mapping.items():
+            value = getattr(input_data, input_field)
+            if value:  # Only add non-empty values
+                payload[api_field] = value
+
+        date_field_mapping = {
+            "start_crawl_date": "startCrawlDate",
+            "end_crawl_date": "endCrawlDate",
+            "start_published_date": "startPublishedDate",
+            "end_published_date": "endPublishedDate",
+        }
+
+        # Add dates if they exist
+        for input_field, api_field in date_field_mapping.items():
+            value = getattr(input_data, input_field, None)
+            if value:
+                payload[api_field] = value.strftime("%Y-%m-%dT%H:%M:%S.000Z")
+
+        try:
+            response = await Requests().post(url, headers=headers, json=payload)
+            data = response.json()
+            yield "results", data.get("results", [])
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/exa/webhook_blocks.py b/autogpt_platform/backend/backend/blocks/exa/webhook_blocks.py
new file mode 100644
index 000000000000..eb3854ed9c3f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/webhook_blocks.py
@@ -0,0 +1,202 @@
+"""
+Exa Webhook Blocks
+
+These blocks handle webhook events from Exa's API for websets and other events.
+"""
+
+from backend.sdk import (
+    BaseModel,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    BlockWebhookConfig,
+    CredentialsMetaInput,
+    Field,
+    ProviderName,
+    SchemaField,
+)
+
+from ._config import exa
+from ._webhook import ExaEventType
+
+
+class WebsetEventFilter(BaseModel):
+    """Filter configuration for Exa webset events."""
+
+    webset_created: bool = Field(
+        default=True, description="Receive notifications when websets are created"
+    )
+    webset_deleted: bool = Field(
+        default=False, description="Receive notifications when websets are deleted"
+    )
+    webset_paused: bool = Field(
+        default=False, description="Receive notifications when websets are paused"
+    )
+    webset_idle: bool = Field(
+        default=False, description="Receive notifications when websets become idle"
+    )
+    search_created: bool = Field(
+        default=True,
+        description="Receive notifications when webset searches are created",
+    )
+    search_completed: bool = Field(
+        default=True, description="Receive notifications when webset searches complete"
+    )
+    search_canceled: bool = Field(
+        default=False,
+        description="Receive notifications when webset searches are canceled",
+    )
+    search_updated: bool = Field(
+        default=False,
+        description="Receive notifications when webset searches are updated",
+    )
+    item_created: bool = Field(
+        default=True, description="Receive notifications when webset items are created"
+    )
+    item_enriched: bool = Field(
+        default=True, description="Receive notifications when webset items are enriched"
+    )
+    export_created: bool = Field(
+        default=False,
+        description="Receive notifications when webset exports are created",
+    )
+    export_completed: bool = Field(
+        default=True, description="Receive notifications when webset exports complete"
+    )
+    import_created: bool = Field(
+        default=False, description="Receive notifications when imports are created"
+    )
+    import_completed: bool = Field(
+        default=True, description="Receive notifications when imports complete"
+    )
+    import_processing: bool = Field(
+        default=False, description="Receive notifications when imports are processing"
+    )
+
+
+class ExaWebsetWebhookBlock(Block):
+    """
+    Receives webhook notifications for Exa webset events.
+
+    This block allows you to monitor various events related to Exa websets,
+    including creation, updates, searches, and exports.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="Exa API credentials for webhook management"
+        )
+        webhook_url: str = SchemaField(
+            description="URL to receive webhooks (auto-generated)",
+            default="",
+            hidden=True,
+        )
+        webset_id: str = SchemaField(
+            description="The webset ID to monitor (optional, monitors all if empty)",
+            default="",
+        )
+        event_filter: WebsetEventFilter = SchemaField(
+            description="Configure which events to receive", default=WebsetEventFilter()
+        )
+        payload: dict = SchemaField(
+            description="Webhook payload data", default={}, hidden=True
+        )
+
+    class Output(BlockSchema):
+        event_type: str = SchemaField(description="Type of event that occurred")
+        event_id: str = SchemaField(description="Unique identifier for this event")
+        webset_id: str = SchemaField(description="ID of the affected webset")
+        data: dict = SchemaField(description="Event-specific data")
+        timestamp: str = SchemaField(description="When the event occurred")
+        metadata: dict = SchemaField(description="Additional event metadata")
+
+    def __init__(self):
+        super().__init__(
+            disabled=True,
+            id="d0204ed8-8b81-408d-8b8d-ed087a546228",
+            description="Receive webhook notifications for Exa webset events",
+            categories={BlockCategory.INPUT},
+            input_schema=ExaWebsetWebhookBlock.Input,
+            output_schema=ExaWebsetWebhookBlock.Output,
+            block_type=BlockType.WEBHOOK,
+            webhook_config=BlockWebhookConfig(
+                provider=ProviderName("exa"),
+                webhook_type="webset",
+                event_filter_input="event_filter",
+                resource_format="{webset_id}",
+            ),
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        """Process incoming Exa webhook payload."""
+        try:
+            payload = input_data.payload
+
+            # Extract event details
+            event_type = payload.get("eventType", "unknown")
+            event_id = payload.get("eventId", "")
+
+            # Get webset ID from payload or input
+            webset_id = payload.get("websetId", input_data.webset_id)
+
+            # Check if we should process this event based on filter
+            should_process = self._should_process_event(
+                event_type, input_data.event_filter
+            )
+
+            if not should_process:
+                # Skip events that don't match our filter
+                return
+
+            # Extract event data
+            event_data = payload.get("data", {})
+            timestamp = payload.get("occurredAt", payload.get("createdAt", ""))
+            metadata = payload.get("metadata", {})
+
+            yield "event_type", event_type
+            yield "event_id", event_id
+            yield "webset_id", webset_id
+            yield "data", event_data
+            yield "timestamp", timestamp
+            yield "metadata", metadata
+
+        except Exception as e:
+            # Handle errors gracefully
+            yield "event_type", "error"
+            yield "event_id", ""
+            yield "webset_id", input_data.webset_id
+            yield "data", {"error": str(e)}
+            yield "timestamp", ""
+            yield "metadata", {}
+
+    def _should_process_event(
+        self, event_type: str, event_filter: WebsetEventFilter
+    ) -> bool:
+        """Check if an event should be processed based on the filter."""
+        filter_mapping = {
+            ExaEventType.WEBSET_CREATED: event_filter.webset_created,
+            ExaEventType.WEBSET_DELETED: event_filter.webset_deleted,
+            ExaEventType.WEBSET_PAUSED: event_filter.webset_paused,
+            ExaEventType.WEBSET_IDLE: event_filter.webset_idle,
+            ExaEventType.WEBSET_SEARCH_CREATED: event_filter.search_created,
+            ExaEventType.WEBSET_SEARCH_COMPLETED: event_filter.search_completed,
+            ExaEventType.WEBSET_SEARCH_CANCELED: event_filter.search_canceled,
+            ExaEventType.WEBSET_SEARCH_UPDATED: event_filter.search_updated,
+            ExaEventType.WEBSET_ITEM_CREATED: event_filter.item_created,
+            ExaEventType.WEBSET_ITEM_ENRICHED: event_filter.item_enriched,
+            ExaEventType.WEBSET_EXPORT_CREATED: event_filter.export_created,
+            ExaEventType.WEBSET_EXPORT_COMPLETED: event_filter.export_completed,
+            ExaEventType.IMPORT_CREATED: event_filter.import_created,
+            ExaEventType.IMPORT_COMPLETED: event_filter.import_completed,
+            ExaEventType.IMPORT_PROCESSING: event_filter.import_processing,
+        }
+
+        # Try to convert string to ExaEventType enum
+        try:
+            event_type_enum = ExaEventType(event_type)
+            return filter_mapping.get(event_type_enum, True)
+        except ValueError:
+            # If event_type is not a valid enum value, process it by default
+            return True
diff --git a/autogpt_platform/backend/backend/blocks/exa/websets.py b/autogpt_platform/backend/backend/blocks/exa/websets.py
new file mode 100644
index 000000000000..bec57e01d91c
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/exa/websets.py
@@ -0,0 +1,752 @@
+from datetime import datetime
+from enum import Enum
+from typing import Annotated, Any, Dict, List, Optional
+
+from exa_py import Exa
+from exa_py.websets.types import (
+    CreateCriterionParameters,
+    CreateEnrichmentParameters,
+    CreateWebsetParameters,
+    CreateWebsetParametersSearch,
+    ExcludeItem,
+    Format,
+    ImportItem,
+    ImportSource,
+    Option,
+    ScopeItem,
+    ScopeRelationship,
+    ScopeSourceType,
+    WebsetArticleEntity,
+    WebsetCompanyEntity,
+    WebsetCustomEntity,
+    WebsetPersonEntity,
+    WebsetResearchPaperEntity,
+    WebsetStatus,
+)
+from pydantic import Field
+
+from backend.sdk import (
+    APIKeyCredentials,
+    BaseModel,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    Requests,
+    SchemaField,
+)
+
+from ._config import exa
+
+
+class SearchEntityType(str, Enum):
+    COMPANY = "company"
+    PERSON = "person"
+    ARTICLE = "article"
+    RESEARCH_PAPER = "research_paper"
+    CUSTOM = "custom"
+    AUTO = "auto"
+
+
+class SearchType(str, Enum):
+    IMPORT = "import"
+    WEBSET = "webset"
+
+
+class EnrichmentFormat(str, Enum):
+    TEXT = "text"
+    DATE = "date"
+    NUMBER = "number"
+    OPTIONS = "options"
+    EMAIL = "email"
+    PHONE = "phone"
+
+
+class Webset(BaseModel):
+    id: str
+    status: WebsetStatus | None = Field(..., title="WebsetStatus")
+    """
+    The status of the webset
+    """
+    external_id: Annotated[Optional[str], Field(alias="externalId")] = None
+    """
+    The external identifier for the webset
+    NOTE: Returning dict to avoid ui crashing due to nested objects
+    """
+    searches: List[dict[str, Any]] | None = None
+    """
+    The searches that have been performed on the webset.
+    NOTE: Returning dict to avoid ui crashing due to nested objects
+    """
+    enrichments: List[dict[str, Any]] | None = None
+    """
+    The Enrichments to apply to the Webset Items.
+    NOTE: Returning dict to avoid ui crashing due to nested objects
+    """
+    monitors: List[dict[str, Any]] | None = None
+    """
+    The Monitors for the Webset.
+    NOTE: Returning dict to avoid ui crashing due to nested objects
+    """
+    metadata: Optional[Dict[str, Any]] = {}
+    """
+    Set of key-value pairs you want to associate with this object.
+    """
+    created_at: Annotated[datetime, Field(alias="createdAt")] | None = None
+    """
+    The date and time the webset was created
+    """
+    updated_at: Annotated[datetime, Field(alias="updatedAt")] | None = None
+    """
+    The date and time the webset was last updated
+    """
+
+
+class ExaCreateWebsetBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+
+        # Search parameters (flattened)
+        search_query: str = SchemaField(
+            description="Your search query. Use this to describe what you are looking for. Any URL provided will be crawled and used as context for the search.",
+            placeholder="Marketing agencies based in the US, that focus on consumer products",
+        )
+        search_count: Optional[int] = SchemaField(
+            default=10,
+            description="Number of items the search will attempt to find. The actual number of items found may be less than this number depending on the search complexity.",
+            ge=1,
+            le=1000,
+        )
+        search_entity_type: SearchEntityType = SchemaField(
+            default=SearchEntityType.AUTO,
+            description="Entity type: 'company', 'person', 'article', 'research_paper', or 'custom'. If not provided, we automatically detect the entity from the query.",
+            advanced=True,
+        )
+        search_entity_description: Optional[str] = SchemaField(
+            default=None,
+            description="Description for custom entity type (required when search_entity_type is 'custom')",
+            advanced=True,
+        )
+
+        # Search criteria (flattened)
+        search_criteria: list[str] = SchemaField(
+            default_factory=list,
+            description="List of criteria descriptions that every item will be evaluated against. If not provided, we automatically detect the criteria from the query.",
+            advanced=True,
+        )
+
+        # Search exclude sources (flattened)
+        search_exclude_sources: list[str] = SchemaField(
+            default_factory=list,
+            description="List of source IDs (imports or websets) to exclude from search results",
+            advanced=True,
+        )
+        search_exclude_types: list[SearchType] = SchemaField(
+            default_factory=list,
+            description="List of source types corresponding to exclude sources ('import' or 'webset')",
+            advanced=True,
+        )
+
+        # Search scope sources (flattened)
+        search_scope_sources: list[str] = SchemaField(
+            default_factory=list,
+            description="List of source IDs (imports or websets) to limit search scope to",
+            advanced=True,
+        )
+        search_scope_types: list[SearchType] = SchemaField(
+            default_factory=list,
+            description="List of source types corresponding to scope sources ('import' or 'webset')",
+            advanced=True,
+        )
+        search_scope_relationships: list[str] = SchemaField(
+            default_factory=list,
+            description="List of relationship definitions for hop searches (optional, one per scope source)",
+            advanced=True,
+        )
+        search_scope_relationship_limits: list[int] = SchemaField(
+            default_factory=list,
+            description="List of limits on the number of related entities to find (optional, one per scope relationship)",
+            advanced=True,
+        )
+
+        # Import parameters (flattened)
+        import_sources: list[str] = SchemaField(
+            default_factory=list,
+            description="List of source IDs to import from",
+            advanced=True,
+        )
+        import_types: list[SearchType] = SchemaField(
+            default_factory=list,
+            description="List of source types corresponding to import sources ('import' or 'webset')",
+            advanced=True,
+        )
+
+        # Enrichment parameters (flattened)
+        enrichment_descriptions: list[str] = SchemaField(
+            default_factory=list,
+            description="List of enrichment task descriptions to perform on each webset item",
+            advanced=True,
+        )
+        enrichment_formats: list[EnrichmentFormat] = SchemaField(
+            default_factory=list,
+            description="List of formats for enrichment responses ('text', 'date', 'number', 'options', 'email', 'phone'). If not specified, we automatically select the best format.",
+            advanced=True,
+        )
+        enrichment_options: list[list[str]] = SchemaField(
+            default_factory=list,
+            description="List of option lists for enrichments with 'options' format. Each inner list contains the option labels.",
+            advanced=True,
+        )
+        enrichment_metadata: list[dict] = SchemaField(
+            default_factory=list,
+            description="List of metadata dictionaries for enrichments",
+            advanced=True,
+        )
+
+        # Webset metadata
+        external_id: Optional[str] = SchemaField(
+            default=None,
+            description="External identifier for the webset. You can use this to reference the webset by your own internal identifiers.",
+            placeholder="my-webset-123",
+            advanced=True,
+        )
+        metadata: Optional[dict] = SchemaField(
+            default_factory=dict,
+            description="Key-value pairs to associate with this webset",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        webset: Webset = SchemaField(
+            description="The unique identifier for the created webset"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="0cda29ff-c549-4a19-8805-c982b7d4ec34",
+            description="Create a new Exa Webset for persistent web search collections",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaCreateWebsetBlock.Input,
+            output_schema=ExaCreateWebsetBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+
+        exa = Exa(credentials.api_key.get_secret_value())
+
+        # ------------------------------------------------------------
+        # Build entity (if explicitly provided)
+        # ------------------------------------------------------------
+        entity = None
+        if input_data.search_entity_type == SearchEntityType.COMPANY:
+            entity = WebsetCompanyEntity(type="company")
+        elif input_data.search_entity_type == SearchEntityType.PERSON:
+            entity = WebsetPersonEntity(type="person")
+        elif input_data.search_entity_type == SearchEntityType.ARTICLE:
+            entity = WebsetArticleEntity(type="article")
+        elif input_data.search_entity_type == SearchEntityType.RESEARCH_PAPER:
+            entity = WebsetResearchPaperEntity(type="research_paper")
+        elif (
+            input_data.search_entity_type == SearchEntityType.CUSTOM
+            and input_data.search_entity_description
+        ):
+            entity = WebsetCustomEntity(
+                type="custom", description=input_data.search_entity_description
+            )
+
+        # ------------------------------------------------------------
+        # Build criteria list
+        # ------------------------------------------------------------
+        criteria = None
+        if input_data.search_criteria:
+            criteria = [
+                CreateCriterionParameters(description=item)
+                for item in input_data.search_criteria
+            ]
+
+        # ------------------------------------------------------------
+        # Build exclude sources list
+        # ------------------------------------------------------------
+        exclude_items = None
+        if input_data.search_exclude_sources:
+            exclude_items = []
+            for idx, src_id in enumerate(input_data.search_exclude_sources):
+                src_type = None
+                if input_data.search_exclude_types and idx < len(
+                    input_data.search_exclude_types
+                ):
+                    src_type = input_data.search_exclude_types[idx]
+                # Default to IMPORT if type missing
+                if src_type == SearchType.WEBSET:
+                    source_enum = ImportSource.webset
+                else:
+                    source_enum = ImportSource.import_
+                exclude_items.append(ExcludeItem(source=source_enum, id=src_id))
+
+        # ------------------------------------------------------------
+        # Build scope list
+        # ------------------------------------------------------------
+        scope_items = None
+        if input_data.search_scope_sources:
+            scope_items = []
+            for idx, src_id in enumerate(input_data.search_scope_sources):
+                src_type = None
+                if input_data.search_scope_types and idx < len(
+                    input_data.search_scope_types
+                ):
+                    src_type = input_data.search_scope_types[idx]
+                relationship = None
+                if input_data.search_scope_relationships and idx < len(
+                    input_data.search_scope_relationships
+                ):
+                    rel_def = input_data.search_scope_relationships[idx]
+                    lim = None
+                    if input_data.search_scope_relationship_limits and idx < len(
+                        input_data.search_scope_relationship_limits
+                    ):
+                        lim = input_data.search_scope_relationship_limits[idx]
+                    relationship = ScopeRelationship(definition=rel_def, limit=lim)
+                if src_type == SearchType.WEBSET:
+                    src_enum = ScopeSourceType.webset
+                else:
+                    src_enum = ScopeSourceType.import_
+                scope_items.append(
+                    ScopeItem(source=src_enum, id=src_id, relationship=relationship)
+                )
+
+        # ------------------------------------------------------------
+        # Assemble search parameters (only if a query is provided)
+        # ------------------------------------------------------------
+        search_params = None
+        if input_data.search_query:
+            search_params = CreateWebsetParametersSearch(
+                query=input_data.search_query,
+                count=input_data.search_count,
+                entity=entity,
+                criteria=criteria,
+                exclude=exclude_items,
+                scope=scope_items,
+            )
+
+        # ------------------------------------------------------------
+        # Build imports list
+        # ------------------------------------------------------------
+        imports_params = None
+        if input_data.import_sources:
+            imports_params = []
+            for idx, src_id in enumerate(input_data.import_sources):
+                src_type = None
+                if input_data.import_types and idx < len(input_data.import_types):
+                    src_type = input_data.import_types[idx]
+                if src_type == SearchType.WEBSET:
+                    source_enum = ImportSource.webset
+                else:
+                    source_enum = ImportSource.import_
+                imports_params.append(ImportItem(source=source_enum, id=src_id))
+
+        # ------------------------------------------------------------
+        # Build enrichment list
+        # ------------------------------------------------------------
+        enrichments_params = None
+        if input_data.enrichment_descriptions:
+            enrichments_params = []
+            for idx, desc in enumerate(input_data.enrichment_descriptions):
+                fmt = None
+                if input_data.enrichment_formats and idx < len(
+                    input_data.enrichment_formats
+                ):
+                    fmt_enum = input_data.enrichment_formats[idx]
+                    if fmt_enum is not None:
+                        fmt = Format(
+                            fmt_enum.value if isinstance(fmt_enum, Enum) else fmt_enum
+                        )
+                options_list = None
+                if input_data.enrichment_options and idx < len(
+                    input_data.enrichment_options
+                ):
+                    raw_opts = input_data.enrichment_options[idx]
+                    if raw_opts:
+                        options_list = [Option(label=o) for o in raw_opts]
+                metadata_obj = None
+                if input_data.enrichment_metadata and idx < len(
+                    input_data.enrichment_metadata
+                ):
+                    metadata_obj = input_data.enrichment_metadata[idx]
+                enrichments_params.append(
+                    CreateEnrichmentParameters(
+                        description=desc,
+                        format=fmt,
+                        options=options_list,
+                        metadata=metadata_obj,
+                    )
+                )
+
+        # ------------------------------------------------------------
+        # Create the webset
+        # ------------------------------------------------------------
+        webset = exa.websets.create(
+            params=CreateWebsetParameters(
+                search=search_params,
+                imports=imports_params,
+                enrichments=enrichments_params,
+                external_id=input_data.external_id,
+                metadata=input_data.metadata,
+            )
+        )
+
+        # Use alias field names returned from Exa SDK so that nested models validate correctly
+        yield "webset", Webset.model_validate(webset.model_dump(by_alias=True))
+
+
+class ExaUpdateWebsetBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        webset_id: str = SchemaField(
+            description="The ID or external ID of the Webset to update",
+            placeholder="webset-id-or-external-id",
+        )
+        metadata: Optional[dict] = SchemaField(
+            default=None,
+            description="Key-value pairs to associate with this webset (set to null to clear)",
+        )
+
+    class Output(BlockSchema):
+        webset_id: str = SchemaField(description="The unique identifier for the webset")
+        status: str = SchemaField(description="The status of the webset")
+        external_id: Optional[str] = SchemaField(
+            description="The external identifier for the webset", default=None
+        )
+        metadata: dict = SchemaField(
+            description="Updated metadata for the webset", default_factory=dict
+        )
+        updated_at: str = SchemaField(
+            description="The date and time the webset was updated"
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="89ccd99a-3c2b-4fbf-9e25-0ffa398d0314",
+            description="Update metadata for an existing Webset",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaUpdateWebsetBlock.Input,
+            output_schema=ExaUpdateWebsetBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = f"https://api.exa.ai/websets/v0/websets/{input_data.webset_id}"
+        headers = {
+            "Content-Type": "application/json",
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        # Build the payload
+        payload = {}
+        if input_data.metadata is not None:
+            payload["metadata"] = input_data.metadata
+
+        try:
+            response = await Requests().post(url, headers=headers, json=payload)
+            data = response.json()
+
+            yield "webset_id", data.get("id", "")
+            yield "status", data.get("status", "")
+            yield "external_id", data.get("externalId")
+            yield "metadata", data.get("metadata", {})
+            yield "updated_at", data.get("updatedAt", "")
+
+        except Exception as e:
+            yield "error", str(e)
+            yield "webset_id", ""
+            yield "status", ""
+            yield "metadata", {}
+            yield "updated_at", ""
+
+
+class ExaListWebsetsBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        trigger: Any | None = SchemaField(
+            default=None,
+            description="Trigger for the webset, value is ignored!",
+            advanced=False,
+        )
+        cursor: Optional[str] = SchemaField(
+            default=None,
+            description="Cursor for pagination through results",
+            advanced=True,
+        )
+        limit: int = SchemaField(
+            default=25,
+            description="Number of websets to return (1-100)",
+            ge=1,
+            le=100,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        websets: list[Webset] = SchemaField(
+            description="List of websets", default_factory=list
+        )
+        has_more: bool = SchemaField(
+            description="Whether there are more results to paginate through",
+            default=False,
+        )
+        next_cursor: Optional[str] = SchemaField(
+            description="Cursor for the next page of results", default=None
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="1dcd8fd6-c13f-4e6f-bd4c-654428fa4757",
+            description="List all Websets with pagination support",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaListWebsetsBlock.Input,
+            output_schema=ExaListWebsetsBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = "https://api.exa.ai/websets/v0/websets"
+        headers = {
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        params: dict[str, Any] = {
+            "limit": input_data.limit,
+        }
+        if input_data.cursor:
+            params["cursor"] = input_data.cursor
+
+        try:
+            response = await Requests().get(url, headers=headers, params=params)
+            data = response.json()
+
+            yield "websets", data.get("data", [])
+            yield "has_more", data.get("hasMore", False)
+            yield "next_cursor", data.get("nextCursor")
+
+        except Exception as e:
+            yield "error", str(e)
+            yield "websets", []
+            yield "has_more", False
+
+
+class ExaGetWebsetBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        webset_id: str = SchemaField(
+            description="The ID or external ID of the Webset to retrieve",
+            placeholder="webset-id-or-external-id",
+        )
+
+    class Output(BlockSchema):
+        webset_id: str = SchemaField(description="The unique identifier for the webset")
+        status: str = SchemaField(description="The status of the webset")
+        external_id: Optional[str] = SchemaField(
+            description="The external identifier for the webset", default=None
+        )
+        searches: list[dict] = SchemaField(
+            description="The searches performed on the webset", default_factory=list
+        )
+        enrichments: list[dict] = SchemaField(
+            description="The enrichments applied to the webset", default_factory=list
+        )
+        monitors: list[dict] = SchemaField(
+            description="The monitors for the webset", default_factory=list
+        )
+        items: Optional[list[dict]] = SchemaField(
+            description="The items in the webset (if expand_items is true)",
+            default=None,
+        )
+        metadata: dict = SchemaField(
+            description="Key-value pairs associated with the webset",
+            default_factory=dict,
+        )
+        created_at: str = SchemaField(
+            description="The date and time the webset was created"
+        )
+        updated_at: str = SchemaField(
+            description="The date and time the webset was last updated"
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="6ab8e12a-132c-41bf-b5f3-d662620fa832",
+            description="Retrieve a Webset by ID or external ID",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaGetWebsetBlock.Input,
+            output_schema=ExaGetWebsetBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = f"https://api.exa.ai/websets/v0/websets/{input_data.webset_id}"
+        headers = {
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        try:
+            response = await Requests().get(url, headers=headers)
+            data = response.json()
+
+            yield "webset_id", data.get("id", "")
+            yield "status", data.get("status", "")
+            yield "external_id", data.get("externalId")
+            yield "searches", data.get("searches", [])
+            yield "enrichments", data.get("enrichments", [])
+            yield "monitors", data.get("monitors", [])
+            yield "items", data.get("items")
+            yield "metadata", data.get("metadata", {})
+            yield "created_at", data.get("createdAt", "")
+            yield "updated_at", data.get("updatedAt", "")
+
+        except Exception as e:
+            yield "error", str(e)
+            yield "webset_id", ""
+            yield "status", ""
+            yield "searches", []
+            yield "enrichments", []
+            yield "monitors", []
+            yield "metadata", {}
+            yield "created_at", ""
+            yield "updated_at", ""
+
+
+class ExaDeleteWebsetBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        webset_id: str = SchemaField(
+            description="The ID or external ID of the Webset to delete",
+            placeholder="webset-id-or-external-id",
+        )
+
+    class Output(BlockSchema):
+        webset_id: str = SchemaField(
+            description="The unique identifier for the deleted webset"
+        )
+        external_id: Optional[str] = SchemaField(
+            description="The external identifier for the deleted webset", default=None
+        )
+        status: str = SchemaField(description="The status of the deleted webset")
+        success: str = SchemaField(
+            description="Whether the deletion was successful", default="true"
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="aa6994a2-e986-421f-8d4c-7671d3be7b7e",
+            description="Delete a Webset and all its items",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaDeleteWebsetBlock.Input,
+            output_schema=ExaDeleteWebsetBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = f"https://api.exa.ai/websets/v0/websets/{input_data.webset_id}"
+        headers = {
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        try:
+            response = await Requests().delete(url, headers=headers)
+            data = response.json()
+
+            yield "webset_id", data.get("id", "")
+            yield "external_id", data.get("externalId")
+            yield "status", data.get("status", "")
+            yield "success", "true"
+
+        except Exception as e:
+            yield "error", str(e)
+            yield "webset_id", ""
+            yield "status", ""
+            yield "success", "false"
+
+
+class ExaCancelWebsetBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = exa.credentials_field(
+            description="The Exa integration requires an API Key."
+        )
+        webset_id: str = SchemaField(
+            description="The ID or external ID of the Webset to cancel",
+            placeholder="webset-id-or-external-id",
+        )
+
+    class Output(BlockSchema):
+        webset_id: str = SchemaField(description="The unique identifier for the webset")
+        status: str = SchemaField(
+            description="The status of the webset after cancellation"
+        )
+        external_id: Optional[str] = SchemaField(
+            description="The external identifier for the webset", default=None
+        )
+        success: str = SchemaField(
+            description="Whether the cancellation was successful", default="true"
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="e40a6420-1db8-47bb-b00a-0e6aecd74176",
+            description="Cancel all operations being performed on a Webset",
+            categories={BlockCategory.SEARCH},
+            input_schema=ExaCancelWebsetBlock.Input,
+            output_schema=ExaCancelWebsetBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        url = f"https://api.exa.ai/websets/v0/websets/{input_data.webset_id}/cancel"
+        headers = {
+            "x-api-key": credentials.api_key.get_secret_value(),
+        }
+
+        try:
+            response = await Requests().post(url, headers=headers)
+            data = response.json()
+
+            yield "webset_id", data.get("id", "")
+            yield "status", data.get("status", "")
+            yield "external_id", data.get("externalId")
+            yield "success", "true"
+
+        except Exception as e:
+            yield "error", str(e)
+            yield "webset_id", ""
+            yield "status", ""
+            yield "success", "false"
diff --git a/autogpt_platform/backend/backend/blocks/fal/ai_video_generator.py b/autogpt_platform/backend/backend/blocks/fal/ai_video_generator.py
index e52e2ba5b245..2e795f0d7833 100644
--- a/autogpt_platform/backend/backend/blocks/fal/ai_video_generator.py
+++ b/autogpt_platform/backend/backend/blocks/fal/ai_video_generator.py
@@ -1,10 +1,8 @@
+import asyncio
 import logging
-import time
 from enum import Enum
 from typing import Any
 
-import httpx
-
 from backend.blocks.fal._auth import (
     TEST_CREDENTIALS,
     TEST_CREDENTIALS_INPUT,
@@ -14,6 +12,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
+from backend.util.request import ClientResponseError, Requests
 
 logger = logging.getLogger(__name__)
 
@@ -21,6 +20,7 @@
 class FalModel(str, Enum):
     MOCHI = "fal-ai/mochi-v1"
     LUMA = "fal-ai/luma-dream-machine"
+    VEO3 = "fal-ai/veo3"
 
 
 class AIVideoGeneratorBlock(Block):
@@ -42,7 +42,7 @@ class Output(BlockSchema):
             description="Error message if video generation failed."
         )
         logs: list[str] = SchemaField(
-            description="Generation progress logs.", optional=True
+            description="Generation progress logs.",
         )
 
     def __init__(self):
@@ -65,35 +65,37 @@ def __init__(self):
         )
 
     def _get_headers(self, api_key: str) -> dict[str, str]:
-        """Get headers for FAL API requests."""
+        """Get headers for FAL API Requests."""
         return {
             "Authorization": f"Key {api_key}",
             "Content-Type": "application/json",
         }
 
-    def _submit_request(
+    async def _submit_request(
         self, url: str, headers: dict[str, str], data: dict[str, Any]
     ) -> dict[str, Any]:
         """Submit a request to the FAL API."""
         try:
-            response = httpx.post(url, headers=headers, json=data)
-            response.raise_for_status()
+            response = await Requests().post(url, headers=headers, json=data)
             return response.json()
-        except httpx.HTTPError as e:
+        except ClientResponseError as e:
             logger.error(f"FAL API request failed: {str(e)}")
             raise RuntimeError(f"Failed to submit request: {str(e)}")
 
-    def _poll_status(self, status_url: str, headers: dict[str, str]) -> dict[str, Any]:
+    async def _poll_status(
+        self, status_url: str, headers: dict[str, str]
+    ) -> dict[str, Any]:
         """Poll the status endpoint until completion or failure."""
         try:
-            response = httpx.get(status_url, headers=headers)
-            response.raise_for_status()
+            response = await Requests().get(status_url, headers=headers)
             return response.json()
-        except httpx.HTTPError as e:
+        except ClientResponseError as e:
             logger.error(f"Failed to get status: {str(e)}")
             raise RuntimeError(f"Failed to get status: {str(e)}")
 
-    def generate_video(self, input_data: Input, credentials: FalCredentials) -> str:
+    async def generate_video(
+        self, input_data: Input, credentials: FalCredentials
+    ) -> str:
         """Generate video using the specified FAL model."""
         base_url = "https://queue.fal.run"
         api_key = credentials.api_key.get_secret_value()
@@ -102,13 +104,16 @@ def generate_video(self, input_data: Input, credentials: FalCredentials) -> str:
         # Submit generation request
         submit_url = f"{base_url}/{input_data.model.value}"
         submit_data = {"prompt": input_data.prompt}
+        if input_data.model == FalModel.VEO3:
+            submit_data["generate_audio"] = True  # type: ignore
 
         seen_logs = set()
 
         try:
             # Submit request to queue
-            submit_response = httpx.post(submit_url, headers=headers, json=submit_data)
-            submit_response.raise_for_status()
+            submit_response = await Requests().post(
+                submit_url, headers=headers, json=submit_data
+            )
             request_data = submit_response.json()
 
             # Get request_id and urls from initial response
@@ -119,14 +124,23 @@ def generate_video(self, input_data: Input, credentials: FalCredentials) -> str:
             if not all([request_id, status_url, result_url]):
                 raise ValueError("Missing required data in submission response")
 
+            # Ensure status_url is a string
+            if not isinstance(status_url, str):
+                raise ValueError("Invalid status URL format")
+
+            # Ensure result_url is a string
+            if not isinstance(result_url, str):
+                raise ValueError("Invalid result URL format")
+
             # Poll for status with exponential backoff
             max_attempts = 30
             attempt = 0
             base_wait_time = 5
 
             while attempt < max_attempts:
-                status_response = httpx.get(f"{status_url}?logs=1", headers=headers)
-                status_response.raise_for_status()
+                status_response = await Requests().get(
+                    f"{status_url}?logs=1", headers=headers
+                )
                 status_data = status_response.json()
 
                 # Process new logs only
@@ -149,8 +163,7 @@ def generate_video(self, input_data: Input, credentials: FalCredentials) -> str:
                 status = status_data.get("status")
                 if status == "COMPLETED":
                     # Get the final result
-                    result_response = httpx.get(result_url, headers=headers)
-                    result_response.raise_for_status()
+                    result_response = await Requests().get(result_url, headers=headers)
                     result_data = result_response.json()
 
                     if "video" not in result_data or not isinstance(
@@ -159,8 +172,8 @@ def generate_video(self, input_data: Input, credentials: FalCredentials) -> str:
                         raise ValueError("Invalid response format - missing video data")
 
                     video_url = result_data["video"].get("url")
-                    if not video_url:
-                        raise ValueError("No video URL in response")
+                    if not video_url or not isinstance(video_url, str):
+                        raise ValueError("No valid video URL in response")
 
                     return video_url
 
@@ -180,19 +193,19 @@ def generate_video(self, input_data: Input, credentials: FalCredentials) -> str:
                     logger.info(f"[FAL Generation] Status: Unknown status: {status}")
 
                 wait_time = min(base_wait_time * (2**attempt), 60)  # Cap at 60 seconds
-                time.sleep(wait_time)
+                await asyncio.sleep(wait_time)
                 attempt += 1
 
             raise RuntimeError("Maximum polling attempts reached")
 
-        except httpx.HTTPError as e:
+        except ClientResponseError as e:
             raise RuntimeError(f"API request failed: {str(e)}")
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: FalCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            video_url = self.generate_video(input_data, credentials)
+            video_url = await self.generate_video(input_data, credentials)
             yield "video_url", video_url
         except Exception as e:
             error_message = str(e)
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/__init__.py b/autogpt_platform/backend/backend/blocks/firecrawl/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/_api.py b/autogpt_platform/backend/backend/blocks/firecrawl/_api.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/_config.py b/autogpt_platform/backend/backend/blocks/firecrawl/_config.py
new file mode 100644
index 000000000000..cc176c4a86cb
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/firecrawl/_config.py
@@ -0,0 +1,8 @@
+from backend.sdk import BlockCostType, ProviderBuilder
+
+firecrawl = (
+    ProviderBuilder("firecrawl")
+    .with_api_key("FIRECRAWL_API_KEY", "Firecrawl API Key")
+    .with_base_cost(1, BlockCostType.RUN)
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/crawl.py b/autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
new file mode 100644
index 000000000000..6b8e1e0ad89b
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/firecrawl/crawl.py
@@ -0,0 +1,114 @@
+from enum import Enum
+from typing import Any
+
+from firecrawl import FirecrawlApp, ScrapeOptions
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._config import firecrawl
+
+
+class ScrapeFormat(Enum):
+    MARKDOWN = "markdown"
+    HTML = "html"
+    RAW_HTML = "rawHtml"
+    LINKS = "links"
+    SCREENSHOT = "screenshot"
+    SCREENSHOT_FULL_PAGE = "screenshot@fullPage"
+    JSON = "json"
+    CHANGE_TRACKING = "changeTracking"
+
+
+class FirecrawlCrawlBlock(Block):
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = firecrawl.credentials_field()
+        url: str = SchemaField(description="The URL to crawl")
+        limit: int = SchemaField(description="The number of pages to crawl", default=10)
+        only_main_content: bool = SchemaField(
+            description="Only return the main content of the page excluding headers, navs, footers, etc.",
+            default=True,
+        )
+        max_age: int = SchemaField(
+            description="The maximum age of the page in milliseconds - default is 1 hour",
+            default=3600000,
+        )
+        wait_for: int = SchemaField(
+            description="Specify a delay in milliseconds before fetching the content, allowing the page sufficient time to load.",
+            default=0,
+        )
+        formats: list[ScrapeFormat] = SchemaField(
+            description="The format of the crawl", default=[ScrapeFormat.MARKDOWN]
+        )
+
+    class Output(BlockSchema):
+        data: list[dict[str, Any]] = SchemaField(description="The result of the crawl")
+        markdown: str = SchemaField(description="The markdown of the crawl")
+        html: str = SchemaField(description="The html of the crawl")
+        raw_html: str = SchemaField(description="The raw html of the crawl")
+        links: list[str] = SchemaField(description="The links of the crawl")
+        screenshot: str = SchemaField(description="The screenshot of the crawl")
+        screenshot_full_page: str = SchemaField(
+            description="The screenshot full page of the crawl"
+        )
+        json_data: dict[str, Any] = SchemaField(
+            description="The json data of the crawl"
+        )
+        change_tracking: dict[str, Any] = SchemaField(
+            description="The change tracking of the crawl"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="bdbbaba0-03b7-4971-970e-699e2de6015e",
+            description="Firecrawl crawls websites to extract comprehensive data while bypassing blockers.",
+            categories={BlockCategory.SEARCH},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+
+        app = FirecrawlApp(api_key=credentials.api_key.get_secret_value())
+
+        # Sync call
+        crawl_result = app.crawl_url(
+            input_data.url,
+            limit=input_data.limit,
+            scrape_options=ScrapeOptions(
+                formats=[format.value for format in input_data.formats],
+                onlyMainContent=input_data.only_main_content,
+                maxAge=input_data.max_age,
+                waitFor=input_data.wait_for,
+            ),
+        )
+        yield "data", crawl_result.data
+
+        for data in crawl_result.data:
+            for f in input_data.formats:
+                if f == ScrapeFormat.MARKDOWN:
+                    yield "markdown", data.markdown
+                elif f == ScrapeFormat.HTML:
+                    yield "html", data.html
+                elif f == ScrapeFormat.RAW_HTML:
+                    yield "raw_html", data.rawHtml
+                elif f == ScrapeFormat.LINKS:
+                    yield "links", data.links
+                elif f == ScrapeFormat.SCREENSHOT:
+                    yield "screenshot", data.screenshot
+                elif f == ScrapeFormat.SCREENSHOT_FULL_PAGE:
+                    yield "screenshot_full_page", data.screenshot
+                elif f == ScrapeFormat.CHANGE_TRACKING:
+                    yield "change_tracking", data.changeTracking
+                elif f == ScrapeFormat.JSON:
+                    yield "json", data.json
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/extract.py b/autogpt_platform/backend/backend/blocks/firecrawl/extract.py
new file mode 100755
index 000000000000..8f3b507bec67
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/firecrawl/extract.py
@@ -0,0 +1,66 @@
+from typing import Any
+
+from firecrawl import FirecrawlApp
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockCost,
+    BlockCostType,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+    cost,
+)
+
+from ._config import firecrawl
+
+
+@cost(BlockCost(2, BlockCostType.RUN))
+class FirecrawlExtractBlock(Block):
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = firecrawl.credentials_field()
+        urls: list[str] = SchemaField(
+            description="The URLs to crawl - at least one is required. Wildcards are supported. (/*)"
+        )
+        prompt: str | None = SchemaField(
+            description="The prompt to use for the crawl", default=None, advanced=False
+        )
+        output_schema: dict | None = SchemaField(
+            description="A Json Schema describing the output structure if more rigid structure is desired.",
+            default=None,
+        )
+        enable_web_search: bool = SchemaField(
+            description="When true, extraction can follow links outside the specified domain.",
+            default=False,
+        )
+
+    class Output(BlockSchema):
+        data: dict[str, Any] = SchemaField(description="The result of the crawl")
+
+    def __init__(self):
+        super().__init__(
+            id="d1774756-4d9e-40e6-bab1-47ec0ccd81b2",
+            description="Firecrawl crawls websites to extract comprehensive data while bypassing blockers.",
+            categories={BlockCategory.SEARCH},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+
+        app = FirecrawlApp(api_key=credentials.api_key.get_secret_value())
+
+        extract_result = app.extract(
+            urls=input_data.urls,
+            prompt=input_data.prompt,
+            schema=input_data.output_schema,
+            enable_web_search=input_data.enable_web_search,
+        )
+
+        yield "data", extract_result.data
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/map.py b/autogpt_platform/backend/backend/blocks/firecrawl/map.py
new file mode 100644
index 000000000000..7661377901b9
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/firecrawl/map.py
@@ -0,0 +1,46 @@
+from firecrawl import FirecrawlApp
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._config import firecrawl
+
+
+class FirecrawlMapWebsiteBlock(Block):
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = firecrawl.credentials_field()
+
+        url: str = SchemaField(description="The website url to map")
+
+    class Output(BlockSchema):
+        links: list[str] = SchemaField(description="The links of the website")
+
+    def __init__(self):
+        super().__init__(
+            id="f0f43e2b-c943-48a0-a7f1-40136ca4d3b9",
+            description="Firecrawl maps a website to extract all the links.",
+            categories={BlockCategory.SEARCH},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+
+        app = FirecrawlApp(api_key=credentials.api_key.get_secret_value())
+
+        # Sync call
+        map_result = app.map_url(
+            url=input_data.url,
+        )
+
+        yield "links", map_result.links
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/scrape.py b/autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
new file mode 100644
index 000000000000..65627ad9545b
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/firecrawl/scrape.py
@@ -0,0 +1,109 @@
+from enum import Enum
+from typing import Any
+
+from firecrawl import FirecrawlApp
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._config import firecrawl
+
+
+class ScrapeFormat(Enum):
+    MARKDOWN = "markdown"
+    HTML = "html"
+    RAW_HTML = "rawHtml"
+    LINKS = "links"
+    SCREENSHOT = "screenshot"
+    SCREENSHOT_FULL_PAGE = "screenshot@fullPage"
+    JSON = "json"
+    CHANGE_TRACKING = "changeTracking"
+
+
+class FirecrawlScrapeBlock(Block):
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = firecrawl.credentials_field()
+        url: str = SchemaField(description="The URL to crawl")
+        limit: int = SchemaField(description="The number of pages to crawl", default=10)
+        only_main_content: bool = SchemaField(
+            description="Only return the main content of the page excluding headers, navs, footers, etc.",
+            default=True,
+        )
+        max_age: int = SchemaField(
+            description="The maximum age of the page in milliseconds - default is 1 hour",
+            default=3600000,
+        )
+        wait_for: int = SchemaField(
+            description="Specify a delay in milliseconds before fetching the content, allowing the page sufficient time to load.",
+            default=200,
+        )
+        formats: list[ScrapeFormat] = SchemaField(
+            description="The format of the crawl", default=[ScrapeFormat.MARKDOWN]
+        )
+
+    class Output(BlockSchema):
+        data: dict[str, Any] = SchemaField(description="The result of the crawl")
+        markdown: str = SchemaField(description="The markdown of the crawl")
+        html: str = SchemaField(description="The html of the crawl")
+        raw_html: str = SchemaField(description="The raw html of the crawl")
+        links: list[str] = SchemaField(description="The links of the crawl")
+        screenshot: str = SchemaField(description="The screenshot of the crawl")
+        screenshot_full_page: str = SchemaField(
+            description="The screenshot full page of the crawl"
+        )
+        json_data: dict[str, Any] = SchemaField(
+            description="The json data of the crawl"
+        )
+        change_tracking: dict[str, Any] = SchemaField(
+            description="The change tracking of the crawl"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="ac444320-cf5e-4697-b586-2604c17a3e75",
+            description="Firecrawl scrapes a website to extract comprehensive data while bypassing blockers.",
+            categories={BlockCategory.SEARCH},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+
+        app = FirecrawlApp(api_key=credentials.api_key.get_secret_value())
+
+        scrape_result = app.scrape_url(
+            input_data.url,
+            formats=[format.value for format in input_data.formats],
+            only_main_content=input_data.only_main_content,
+            max_age=input_data.max_age,
+            wait_for=input_data.wait_for,
+        )
+        yield "data", scrape_result
+
+        for f in input_data.formats:
+            if f == ScrapeFormat.MARKDOWN:
+                yield "markdown", scrape_result.markdown
+            elif f == ScrapeFormat.HTML:
+                yield "html", scrape_result.html
+            elif f == ScrapeFormat.RAW_HTML:
+                yield "raw_html", scrape_result.rawHtml
+            elif f == ScrapeFormat.LINKS:
+                yield "links", scrape_result.links
+            elif f == ScrapeFormat.SCREENSHOT:
+                yield "screenshot", scrape_result.screenshot
+            elif f == ScrapeFormat.SCREENSHOT_FULL_PAGE:
+                yield "screenshot_full_page", scrape_result.screenshot
+            elif f == ScrapeFormat.CHANGE_TRACKING:
+                yield "change_tracking", scrape_result.changeTracking
+            elif f == ScrapeFormat.JSON:
+                yield "json", scrape_result.json
diff --git a/autogpt_platform/backend/backend/blocks/firecrawl/search.py b/autogpt_platform/backend/backend/blocks/firecrawl/search.py
new file mode 100644
index 000000000000..521d0f7e35d5
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/firecrawl/search.py
@@ -0,0 +1,79 @@
+from enum import Enum
+from typing import Any
+
+from firecrawl import FirecrawlApp, ScrapeOptions
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._config import firecrawl
+
+
+class ScrapeFormat(Enum):
+    MARKDOWN = "markdown"
+    HTML = "html"
+    RAW_HTML = "rawHtml"
+    LINKS = "links"
+    SCREENSHOT = "screenshot"
+    SCREENSHOT_FULL_PAGE = "screenshot@fullPage"
+    JSON = "json"
+    CHANGE_TRACKING = "changeTracking"
+
+
+class FirecrawlSearchBlock(Block):
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = firecrawl.credentials_field()
+        query: str = SchemaField(description="The query to search for")
+        limit: int = SchemaField(description="The number of pages to crawl", default=10)
+        max_age: int = SchemaField(
+            description="The maximum age of the page in milliseconds - default is 1 hour",
+            default=3600000,
+        )
+        wait_for: int = SchemaField(
+            description="Specify a delay in milliseconds before fetching the content, allowing the page sufficient time to load.",
+            default=200,
+        )
+        formats: list[ScrapeFormat] = SchemaField(
+            description="Returns the content of the search if specified", default=[]
+        )
+
+    class Output(BlockSchema):
+        data: dict[str, Any] = SchemaField(description="The result of the search")
+        site: dict[str, Any] = SchemaField(description="The site of the search")
+
+    def __init__(self):
+        super().__init__(
+            id="f8d2f28d-b3a1-405b-804e-418c087d288b",
+            description="Firecrawl searches the web for the given query.",
+            categories={BlockCategory.SEARCH},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+
+        app = FirecrawlApp(api_key=credentials.api_key.get_secret_value())
+
+        # Sync call
+        scrape_result = app.search(
+            input_data.query,
+            limit=input_data.limit,
+            scrape_options=ScrapeOptions(
+                formats=[format.value for format in input_data.formats],
+                maxAge=input_data.max_age,
+                waitFor=input_data.wait_for,
+            ),
+        )
+        yield "data", scrape_result
+        for site in scrape_result.data:
+            yield "site", site
diff --git a/autogpt_platform/backend/backend/blocks/flux_kontext.py b/autogpt_platform/backend/backend/blocks/flux_kontext.py
new file mode 100644
index 000000000000..e3729240fa5e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/flux_kontext.py
@@ -0,0 +1,185 @@
+from enum import Enum
+from typing import Literal, Optional
+
+from pydantic import SecretStr
+from replicate.client import Client as ReplicateClient
+from replicate.helpers import FileOutput
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+from backend.util.file import MediaFileType, store_media_file
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="replicate",
+    api_key=SecretStr("mock-replicate-api-key"),
+    title="Mock Replicate API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.type,
+}
+
+
+class FluxKontextModelName(str, Enum):
+    PRO = "Flux Kontext Pro"
+    MAX = "Flux Kontext Max"
+
+    @property
+    def api_name(self) -> str:
+        return f"black-forest-labs/flux-kontext-{self.name.lower()}"
+
+
+class AspectRatio(str, Enum):
+    MATCH_INPUT_IMAGE = "match_input_image"
+    ASPECT_1_1 = "1:1"
+    ASPECT_16_9 = "16:9"
+    ASPECT_9_16 = "9:16"
+    ASPECT_4_3 = "4:3"
+    ASPECT_3_4 = "3:4"
+    ASPECT_3_2 = "3:2"
+    ASPECT_2_3 = "2:3"
+    ASPECT_4_5 = "4:5"
+    ASPECT_5_4 = "5:4"
+    ASPECT_21_9 = "21:9"
+    ASPECT_9_21 = "9:21"
+    ASPECT_2_1 = "2:1"
+    ASPECT_1_2 = "1:2"
+
+
+class AIImageEditorBlock(Block):
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.REPLICATE], Literal["api_key"]
+        ] = CredentialsField(
+            description="Replicate API key with permissions for Flux Kontext models",
+        )
+        prompt: str = SchemaField(
+            description="Text instruction describing the desired edit",
+            title="Prompt",
+        )
+        input_image: Optional[MediaFileType] = SchemaField(
+            description="Reference image URI (jpeg, png, gif, webp)",
+            default=None,
+            title="Input Image",
+        )
+        aspect_ratio: AspectRatio = SchemaField(
+            description="Aspect ratio of the generated image",
+            default=AspectRatio.MATCH_INPUT_IMAGE,
+            title="Aspect Ratio",
+            advanced=False,
+        )
+        seed: Optional[int] = SchemaField(
+            description="Random seed. Set for reproducible generation",
+            default=None,
+            title="Seed",
+            advanced=True,
+        )
+        model: FluxKontextModelName = SchemaField(
+            description="Model variant to use",
+            default=FluxKontextModelName.PRO,
+            title="Model",
+        )
+
+    class Output(BlockSchema):
+        output_image: MediaFileType = SchemaField(
+            description="URL of the transformed image"
+        )
+        error: str = SchemaField(description="Error message if generation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="3fd9c73d-4370-4925-a1ff-1b86b99fabfa",
+            description=(
+                "Edit images using BlackForest Labs' Flux Kontext models. Provide a prompt "
+                "and optional reference image to generate a modified image."
+            ),
+            categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
+            input_schema=AIImageEditorBlock.Input,
+            output_schema=AIImageEditorBlock.Output,
+            test_input={
+                "prompt": "Add a hat to the cat",
+                "input_image": "data:image/png;base64,MQ==",
+                "aspect_ratio": AspectRatio.MATCH_INPUT_IMAGE,
+                "seed": None,
+                "model": FluxKontextModelName.PRO,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("output_image", "https://replicate.com/output/edited-image.png"),
+            ],
+            test_mock={
+                "run_model": lambda *args, **kwargs: "https://replicate.com/output/edited-image.png",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        result = await self.run_model(
+            api_key=credentials.api_key,
+            model_name=input_data.model.api_name,
+            prompt=input_data.prompt,
+            input_image_b64=(
+                await store_media_file(
+                    graph_exec_id=graph_exec_id,
+                    file=input_data.input_image,
+                    user_id=user_id,
+                    return_content=True,
+                )
+                if input_data.input_image
+                else None
+            ),
+            aspect_ratio=input_data.aspect_ratio.value,
+            seed=input_data.seed,
+        )
+        yield "output_image", result
+
+    async def run_model(
+        self,
+        api_key: SecretStr,
+        model_name: str,
+        prompt: str,
+        input_image_b64: Optional[str],
+        aspect_ratio: str,
+        seed: Optional[int],
+    ) -> MediaFileType:
+        client = ReplicateClient(api_token=api_key.get_secret_value())
+        input_params = {
+            "prompt": prompt,
+            "input_image": input_image_b64,
+            "aspect_ratio": aspect_ratio,
+            **({"seed": seed} if seed is not None else {}),
+        }
+
+        output: FileOutput | list[FileOutput] = await client.async_run(  # type: ignore
+            model_name,
+            input=input_params,
+            wait=False,
+        )
+
+        if isinstance(output, list) and output:
+            output = output[0]
+
+        if isinstance(output, FileOutput):
+            return MediaFileType(output.url)
+        if isinstance(output, str):
+            return MediaFileType(output)
+
+        raise ValueError("No output received")
diff --git a/autogpt_platform/backend/backend/blocks/generic_webhook/__init__.py b/autogpt_platform/backend/backend/blocks/generic_webhook/__init__.py
new file mode 100644
index 000000000000..2a38bb0765c4
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/generic_webhook/__init__.py
@@ -0,0 +1,9 @@
+# Import the provider builder to ensure it's registered
+from backend.sdk.registry import AutoRegistry
+
+from .triggers import GenericWebhookTriggerBlock, generic_webhook
+
+# Ensure the SDK registry is patched to include our webhook manager
+AutoRegistry.patch_integrations()
+
+__all__ = ["GenericWebhookTriggerBlock", "generic_webhook"]
diff --git a/autogpt_platform/backend/backend/blocks/generic_webhook/_webhook.py b/autogpt_platform/backend/backend/blocks/generic_webhook/_webhook.py
new file mode 100644
index 000000000000..9dd4b8c2c7ca
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/generic_webhook/_webhook.py
@@ -0,0 +1,25 @@
+import logging
+
+from fastapi import Request
+from strenum import StrEnum
+
+from backend.sdk import Credentials, ManualWebhookManagerBase, Webhook
+
+logger = logging.getLogger(__name__)
+
+
+class GenericWebhookType(StrEnum):
+    PLAIN = "plain"
+
+
+class GenericWebhooksManager(ManualWebhookManagerBase):
+    WebhookType = GenericWebhookType
+
+    @classmethod
+    async def validate_payload(
+        cls, webhook: Webhook, request: Request, credentials: Credentials | None = None
+    ) -> tuple[dict, str]:
+        payload = await request.json()
+        event_type = GenericWebhookType.PLAIN
+
+        return payload, event_type
diff --git a/autogpt_platform/backend/backend/blocks/generic_webhook/triggers.py b/autogpt_platform/backend/backend/blocks/generic_webhook/triggers.py
new file mode 100644
index 000000000000..fdddeb14371f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/generic_webhook/triggers.py
@@ -0,0 +1,59 @@
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockManualWebhookConfig,
+    BlockOutput,
+    BlockSchema,
+    ProviderBuilder,
+    ProviderName,
+    SchemaField,
+)
+
+from ._webhook import GenericWebhooksManager, GenericWebhookType
+
+generic_webhook = (
+    ProviderBuilder("generic_webhook")
+    .with_webhook_manager(GenericWebhooksManager)
+    .build()
+)
+
+
+class GenericWebhookTriggerBlock(Block):
+    class Input(BlockSchema):
+        payload: dict = SchemaField(hidden=True, default_factory=dict)
+        constants: dict = SchemaField(
+            description="The constants to be set when the block is put on the graph",
+            default_factory=dict,
+        )
+
+    class Output(BlockSchema):
+        payload: dict = SchemaField(
+            description="The complete webhook payload that was received from the generic webhook."
+        )
+        constants: dict = SchemaField(
+            description="The constants to be set when the block is put on the graph"
+        )
+
+    example_payload = {"message": "Hello, World!"}
+
+    def __init__(self):
+        super().__init__(
+            id="8fa8c167-2002-47ce-aba8-97572fc5d387",
+            description="This block will output the contents of the generic input for the webhook.",
+            categories={BlockCategory.INPUT},
+            input_schema=GenericWebhookTriggerBlock.Input,
+            output_schema=GenericWebhookTriggerBlock.Output,
+            webhook_config=BlockManualWebhookConfig(
+                provider=ProviderName(generic_webhook.name),
+                webhook_type=GenericWebhookType.PLAIN,
+            ),
+            test_input={"constants": {"key": "value"}, "payload": self.example_payload},
+            test_output=[
+                ("constants", {"key": "value"}),
+                ("payload", self.example_payload),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "constants", input_data.constants
+        yield "payload", input_data.payload
diff --git a/autogpt_platform/backend/backend/blocks/github/_api.py b/autogpt_platform/backend/backend/blocks/github/_api.py
index 6ec91eeb37db..03e4926673ba 100644
--- a/autogpt_platform/backend/backend/blocks/github/_api.py
+++ b/autogpt_platform/backend/backend/blocks/github/_api.py
@@ -1,16 +1,30 @@
+from typing import overload
 from urllib.parse import urlparse
 
-from backend.blocks.github._auth import GithubCredentials
-from backend.util.request import Requests
+from backend.blocks.github._auth import (
+    GithubCredentials,
+    GithubFineGrainedAPICredentials,
+)
+from backend.util.request import URL, Requests
 
 
-def _convert_to_api_url(url: str) -> str:
+@overload
+def _convert_to_api_url(url: str) -> str: ...
+
+
+@overload
+def _convert_to_api_url(url: URL) -> URL: ...
+
+
+def _convert_to_api_url(url: str | URL) -> str | URL:
     """
     Converts a standard GitHub URL to the corresponding GitHub API URL.
     Handles repository URLs, issue URLs, pull request URLs, and more.
     """
-    parsed_url = urlparse(url)
-    path_parts = parsed_url.path.strip("/").split("/")
+    if url_as_str := isinstance(url, str):
+        url = urlparse(url)
+
+    path_parts = url.path.strip("/").split("/")
 
     if len(path_parts) >= 2:
         owner, repo = path_parts[0], path_parts[1]
@@ -25,17 +39,73 @@ def _convert_to_api_url(url: str) -> str:
     else:
         raise ValueError("Invalid GitHub URL format.")
 
-    return api_url
+    return api_url if url_as_str else urlparse(api_url)
 
 
 def _get_headers(credentials: GithubCredentials) -> dict[str, str]:
     return {
-        "Authorization": credentials.bearer(),
+        "Authorization": credentials.auth_header(),
         "Accept": "application/vnd.github.v3+json",
     }
 
 
-def get_api(credentials: GithubCredentials, convert_urls: bool = True) -> Requests:
+def convert_comment_url_to_api_endpoint(comment_url: str) -> str:
+    """
+    Converts a GitHub comment URL (web interface) to the appropriate API endpoint URL.
+
+    Handles:
+    1. Issue/PR comments: #issuecomment-{id}
+    2. PR review comments: #discussion_r{id}
+
+    Returns the appropriate API endpoint path for the comment.
+    """
+    # First, check if this is already an API URL
+    parsed_url = urlparse(comment_url)
+    if parsed_url.hostname == "api.github.com":
+        return comment_url
+
+    # Replace pull with issues for comment endpoints
+    if "/pull/" in comment_url:
+        comment_url = comment_url.replace("/pull/", "/issues/")
+
+    # Handle issue/PR comments (#issuecomment-xxx)
+    if "#issuecomment-" in comment_url:
+        base_url, comment_part = comment_url.split("#issuecomment-")
+        comment_id = comment_part
+
+        # Extract repo information from base URL
+        parsed_url = urlparse(base_url)
+        path_parts = parsed_url.path.strip("/").split("/")
+        owner, repo = path_parts[0], path_parts[1]
+
+        # Construct API URL for issue comments
+        return (
+            f"https://api.github.com/repos/{owner}/{repo}/issues/comments/{comment_id}"
+        )
+
+    # Handle PR review comments (#discussion_r)
+    elif "#discussion_r" in comment_url:
+        base_url, comment_part = comment_url.split("#discussion_r")
+        comment_id = comment_part
+
+        # Extract repo information from base URL
+        parsed_url = urlparse(base_url)
+        path_parts = parsed_url.path.strip("/").split("/")
+        owner, repo = path_parts[0], path_parts[1]
+
+        # Construct API URL for PR review comments
+        return (
+            f"https://api.github.com/repos/{owner}/{repo}/pulls/comments/{comment_id}"
+        )
+
+    # If no specific comment identifiers are found, use the general URL conversion
+    return _convert_to_api_url(comment_url)
+
+
+def get_api(
+    credentials: GithubCredentials | GithubFineGrainedAPICredentials,
+    convert_urls: bool = True,
+) -> Requests:
     return Requests(
         trusted_origins=["https://api.github.com", "https://github.com"],
         extra_url_validator=_convert_to_api_url if convert_urls else None,
diff --git a/autogpt_platform/backend/backend/blocks/github/_auth.py b/autogpt_platform/backend/backend/blocks/github/_auth.py
index df7eed90f701..3109024abf0e 100644
--- a/autogpt_platform/backend/backend/blocks/github/_auth.py
+++ b/autogpt_platform/backend/backend/blocks/github/_auth.py
@@ -22,6 +22,11 @@
     Literal["api_key", "oauth2"] if GITHUB_OAUTH_IS_CONFIGURED else Literal["api_key"],
 ]
 
+GithubFineGrainedAPICredentials = APIKeyCredentials
+GithubFineGrainedAPICredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.GITHUB], Literal["api_key"]
+]
+
 
 def GithubCredentialsField(scope: str) -> GithubCredentialsInput:
     """
@@ -37,6 +42,16 @@ def GithubCredentialsField(scope: str) -> GithubCredentialsInput:
     )
 
 
+def GithubFineGrainedAPICredentialsField(
+    scope: str,
+) -> GithubFineGrainedAPICredentialsInput:
+    return CredentialsField(
+        required_scopes={scope},
+        description="The GitHub integration can be used with OAuth, "
+        "or any API key with sufficient permissions for the blocks it is used on.",
+    )
+
+
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
     provider="github",
@@ -50,3 +65,18 @@ def GithubCredentialsField(scope: str) -> GithubCredentialsInput:
     "type": TEST_CREDENTIALS.type,
     "title": TEST_CREDENTIALS.type,
 }
+
+TEST_FINE_GRAINED_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="github",
+    api_key=SecretStr("mock-github-api-key"),
+    title="Mock GitHub API key",
+    expires_at=None,
+)
+
+TEST_FINE_GRAINED_CREDENTIALS_INPUT = {
+    "provider": TEST_FINE_GRAINED_CREDENTIALS.provider,
+    "id": TEST_FINE_GRAINED_CREDENTIALS.id,
+    "type": TEST_FINE_GRAINED_CREDENTIALS.type,
+    "title": TEST_FINE_GRAINED_CREDENTIALS.type,
+}
diff --git a/autogpt_platform/backend/backend/blocks/github/checks.py b/autogpt_platform/backend/backend/blocks/github/checks.py
new file mode 100644
index 000000000000..9b9aecdf0736
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/github/checks.py
@@ -0,0 +1,360 @@
+from enum import Enum
+from typing import Optional
+
+from pydantic import BaseModel
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+from ._api import get_api
+from ._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    GithubCredentials,
+    GithubCredentialsField,
+    GithubCredentialsInput,
+)
+
+
+# queued, in_progress, completed, waiting, requested, pending
+class ChecksStatus(Enum):
+    QUEUED = "queued"
+    IN_PROGRESS = "in_progress"
+    COMPLETED = "completed"
+    WAITING = "waiting"
+    REQUESTED = "requested"
+    PENDING = "pending"
+
+
+class ChecksConclusion(Enum):
+    SUCCESS = "success"
+    FAILURE = "failure"
+    NEUTRAL = "neutral"
+    CANCELLED = "cancelled"
+    TIMED_OUT = "timed_out"
+    ACTION_REQUIRED = "action_required"
+    SKIPPED = "skipped"
+
+
+class GithubCreateCheckRunBlock(Block):
+    """Block for creating a new check run on a GitHub repository."""
+
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo:status")
+        repo_url: str = SchemaField(
+            description="URL of the GitHub repository",
+            placeholder="https://github.com/owner/repo",
+        )
+        name: str = SchemaField(
+            description="The name of the check run (e.g., 'code-coverage')",
+        )
+        head_sha: str = SchemaField(
+            description="The SHA of the commit to check",
+        )
+        status: ChecksStatus = SchemaField(
+            description="Current status of the check run",
+            default=ChecksStatus.QUEUED,
+        )
+        conclusion: Optional[ChecksConclusion] = SchemaField(
+            description="The final conclusion of the check (required if status is completed)",
+            default=None,
+        )
+        details_url: str = SchemaField(
+            description="The URL for the full details of the check",
+            default="",
+        )
+        output_title: str = SchemaField(
+            description="Title of the check run output",
+            default="",
+        )
+        output_summary: str = SchemaField(
+            description="Summary of the check run output",
+            default="",
+        )
+        output_text: str = SchemaField(
+            description="Detailed text of the check run output",
+            default="",
+        )
+
+    class Output(BlockSchema):
+        class CheckRunResult(BaseModel):
+            id: int
+            html_url: str
+            status: str
+
+        check_run: CheckRunResult = SchemaField(
+            description="Details of the created check run"
+        )
+        error: str = SchemaField(
+            description="Error message if check run creation failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="2f45e89a-3b7d-4f22-b89e-6c4f5c7e1234",
+            description="Creates a new check run for a specific commit in a GitHub repository",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubCreateCheckRunBlock.Input,
+            output_schema=GithubCreateCheckRunBlock.Output,
+            test_input={
+                "repo_url": "https://github.com/owner/repo",
+                "name": "test-check",
+                "head_sha": "ce587453ced02b1526dfb4cb910479d431683101",
+                "status": ChecksStatus.COMPLETED.value,
+                "conclusion": ChecksConclusion.SUCCESS.value,
+                "output_title": "Test Results",
+                "output_summary": "All tests passed",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            # requires a github app not available to oauth in our current system
+            disabled=True,
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "check_run",
+                    {
+                        "id": 4,
+                        "html_url": "https://github.com/owner/repo/runs/4",
+                        "status": "completed",
+                    },
+                ),
+            ],
+            test_mock={
+                "create_check_run": lambda *args, **kwargs: {
+                    "id": 4,
+                    "html_url": "https://github.com/owner/repo/runs/4",
+                    "status": "completed",
+                }
+            },
+        )
+
+    @staticmethod
+    async def create_check_run(
+        credentials: GithubCredentials,
+        repo_url: str,
+        name: str,
+        head_sha: str,
+        status: ChecksStatus,
+        conclusion: Optional[ChecksConclusion] = None,
+        details_url: Optional[str] = None,
+        output_title: Optional[str] = None,
+        output_summary: Optional[str] = None,
+        output_text: Optional[str] = None,
+    ) -> dict:
+        api = get_api(credentials)
+
+        class CheckRunData(BaseModel):
+            name: str
+            head_sha: str
+            status: str
+            conclusion: Optional[str] = None
+            details_url: Optional[str] = None
+            output: Optional[dict[str, str]] = None
+
+        data = CheckRunData(
+            name=name,
+            head_sha=head_sha,
+            status=status.value,
+        )
+
+        if conclusion:
+            data.conclusion = conclusion.value
+
+        if details_url:
+            data.details_url = details_url
+
+        if output_title or output_summary or output_text:
+            output_data = {
+                "title": output_title or "",
+                "summary": output_summary or "",
+                "text": output_text or "",
+            }
+            data.output = output_data
+
+        check_runs_url = f"{repo_url}/check-runs"
+        response = await api.post(
+            check_runs_url, data=data.model_dump_json(exclude_none=True)
+        )
+        result = response.json()
+
+        return {
+            "id": result["id"],
+            "html_url": result["html_url"],
+            "status": result["status"],
+        }
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            result = await self.create_check_run(
+                credentials=credentials,
+                repo_url=input_data.repo_url,
+                name=input_data.name,
+                head_sha=input_data.head_sha,
+                status=input_data.status,
+                conclusion=input_data.conclusion,
+                details_url=input_data.details_url,
+                output_title=input_data.output_title,
+                output_summary=input_data.output_summary,
+                output_text=input_data.output_text,
+            )
+            yield "check_run", result
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubUpdateCheckRunBlock(Block):
+    """Block for updating an existing check run on a GitHub repository."""
+
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo:status")
+        repo_url: str = SchemaField(
+            description="URL of the GitHub repository",
+            placeholder="https://github.com/owner/repo",
+        )
+        check_run_id: int = SchemaField(
+            description="The ID of the check run to update",
+        )
+        status: ChecksStatus = SchemaField(
+            description="New status of the check run",
+        )
+        conclusion: ChecksConclusion = SchemaField(
+            description="The final conclusion of the check (required if status is completed)",
+        )
+        output_title: Optional[str] = SchemaField(
+            description="New title of the check run output",
+            default=None,
+        )
+        output_summary: Optional[str] = SchemaField(
+            description="New summary of the check run output",
+            default=None,
+        )
+        output_text: Optional[str] = SchemaField(
+            description="New detailed text of the check run output",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        class CheckRunResult(BaseModel):
+            id: int
+            html_url: str
+            status: str
+            conclusion: Optional[str]
+
+        check_run: CheckRunResult = SchemaField(
+            description="Details of the updated check run"
+        )
+        error: str = SchemaField(description="Error message if check run update failed")
+
+    def __init__(self):
+        super().__init__(
+            id="8a23c567-9d01-4e56-b789-0c12d3e45678",  # Generated UUID
+            description="Updates an existing check run in a GitHub repository",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubUpdateCheckRunBlock.Input,
+            output_schema=GithubUpdateCheckRunBlock.Output,
+            # requires a github app not available to oauth in our current system
+            disabled=True,
+            test_input={
+                "repo_url": "https://github.com/owner/repo",
+                "check_run_id": 4,
+                "status": ChecksStatus.COMPLETED.value,
+                "conclusion": ChecksConclusion.SUCCESS.value,
+                "output_title": "Updated Results",
+                "output_summary": "All tests passed after retry",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "check_run",
+                    {
+                        "id": 4,
+                        "html_url": "https://github.com/owner/repo/runs/4",
+                        "status": "completed",
+                        "conclusion": "success",
+                    },
+                ),
+            ],
+            test_mock={
+                "update_check_run": lambda *args, **kwargs: {
+                    "id": 4,
+                    "html_url": "https://github.com/owner/repo/runs/4",
+                    "status": "completed",
+                    "conclusion": "success",
+                }
+            },
+        )
+
+    @staticmethod
+    async def update_check_run(
+        credentials: GithubCredentials,
+        repo_url: str,
+        check_run_id: int,
+        status: ChecksStatus,
+        conclusion: Optional[ChecksConclusion] = None,
+        output_title: Optional[str] = None,
+        output_summary: Optional[str] = None,
+        output_text: Optional[str] = None,
+    ) -> dict:
+        api = get_api(credentials)
+
+        class UpdateCheckRunData(BaseModel):
+            status: str
+            conclusion: Optional[str] = None
+            output: Optional[dict[str, str]] = None
+
+        data = UpdateCheckRunData(
+            status=status.value,
+        )
+
+        if conclusion:
+            data.conclusion = conclusion.value
+
+        if output_title or output_summary or output_text:
+            output_data = {
+                "title": output_title or "",
+                "summary": output_summary or "",
+                "text": output_text or "",
+            }
+            data.output = output_data
+
+        check_run_url = f"{repo_url}/check-runs/{check_run_id}"
+        response = await api.patch(
+            check_run_url, data=data.model_dump_json(exclude_none=True)
+        )
+        result = response.json()
+
+        return {
+            "id": result["id"],
+            "html_url": result["html_url"],
+            "status": result["status"],
+            "conclusion": result.get("conclusion"),
+        }
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            result = await self.update_check_run(
+                credentials=credentials,
+                repo_url=input_data.repo_url,
+                check_run_id=input_data.check_run_id,
+                status=input_data.status,
+                conclusion=input_data.conclusion,
+                output_title=input_data.output_title,
+                output_summary=input_data.output_summary,
+                output_text=input_data.output_text,
+            )
+            yield "check_run", result
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/github/ci.py b/autogpt_platform/backend/backend/blocks/github/ci.py
new file mode 100644
index 000000000000..25adc04202d5
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/github/ci.py
@@ -0,0 +1,388 @@
+import logging
+import re
+from enum import Enum
+from typing import Optional
+
+from typing_extensions import TypedDict
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+from ._api import get_api
+from ._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    GithubCredentials,
+    GithubCredentialsField,
+    GithubCredentialsInput,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class CheckRunStatus(Enum):
+    QUEUED = "queued"
+    IN_PROGRESS = "in_progress"
+    COMPLETED = "completed"
+
+
+class CheckRunConclusion(Enum):
+    SUCCESS = "success"
+    FAILURE = "failure"
+    NEUTRAL = "neutral"
+    CANCELLED = "cancelled"
+    SKIPPED = "skipped"
+    TIMED_OUT = "timed_out"
+    ACTION_REQUIRED = "action_required"
+
+
+class GithubGetCIResultsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo: str = SchemaField(
+            description="GitHub repository",
+            placeholder="owner/repo",
+        )
+        target: str | int = SchemaField(
+            description="Commit SHA or PR number to get CI results for",
+            placeholder="abc123def or 123",
+        )
+        search_pattern: Optional[str] = SchemaField(
+            description="Optional regex pattern to search for in CI logs (e.g., error messages, file names)",
+            placeholder=".*error.*|.*warning.*",
+            default=None,
+            advanced=True,
+        )
+        check_name_filter: Optional[str] = SchemaField(
+            description="Optional filter for specific check names (supports wildcards)",
+            placeholder="*lint* or build-*",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        class CheckRunItem(TypedDict, total=False):
+            id: int
+            name: str
+            status: str
+            conclusion: Optional[str]
+            started_at: Optional[str]
+            completed_at: Optional[str]
+            html_url: str
+            details_url: Optional[str]
+            output_title: Optional[str]
+            output_summary: Optional[str]
+            output_text: Optional[str]
+            annotations: list[dict]
+
+        class MatchedLine(TypedDict):
+            check_name: str
+            line_number: int
+            line: str
+            context: list[str]
+
+        check_run: CheckRunItem = SchemaField(
+            title="Check Run",
+            description="Individual CI check run with details",
+        )
+        check_runs: list[CheckRunItem] = SchemaField(
+            description="List of all CI check runs"
+        )
+        matched_line: MatchedLine = SchemaField(
+            title="Matched Line",
+            description="Line matching the search pattern with context",
+        )
+        matched_lines: list[MatchedLine] = SchemaField(
+            description="All lines matching the search pattern across all checks"
+        )
+        overall_status: str = SchemaField(
+            description="Overall CI status (pending, success, failure)"
+        )
+        overall_conclusion: str = SchemaField(
+            description="Overall CI conclusion if completed"
+        )
+        total_checks: int = SchemaField(description="Total number of CI checks")
+        passed_checks: int = SchemaField(description="Number of passed checks")
+        failed_checks: int = SchemaField(description="Number of failed checks")
+        error: str = SchemaField(description="Error message if the operation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="8ad9e103-78f2-4fdb-ba12-3571f2c95e98",
+            description="This block gets CI results for a commit or PR, with optional search for specific errors/warnings in logs.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubGetCIResultsBlock.Input,
+            output_schema=GithubGetCIResultsBlock.Output,
+            test_input={
+                "repo": "owner/repo",
+                "target": "abc123def456",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("overall_status", "completed"),
+                ("overall_conclusion", "success"),
+                ("total_checks", 1),
+                ("passed_checks", 1),
+                ("failed_checks", 0),
+                (
+                    "check_runs",
+                    [
+                        {
+                            "id": 123456,
+                            "name": "build",
+                            "status": "completed",
+                            "conclusion": "success",
+                            "started_at": "2024-01-01T00:00:00Z",
+                            "completed_at": "2024-01-01T00:05:00Z",
+                            "html_url": "https://github.com/owner/repo/runs/123456",
+                            "details_url": None,
+                            "output_title": "Build passed",
+                            "output_summary": "All tests passed",
+                            "output_text": "Build log output...",
+                            "annotations": [],
+                        }
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_ci_results": lambda *args, **kwargs: {
+                    "check_runs": [
+                        {
+                            "id": 123456,
+                            "name": "build",
+                            "status": "completed",
+                            "conclusion": "success",
+                            "started_at": "2024-01-01T00:00:00Z",
+                            "completed_at": "2024-01-01T00:05:00Z",
+                            "html_url": "https://github.com/owner/repo/runs/123456",
+                            "details_url": None,
+                            "output_title": "Build passed",
+                            "output_summary": "All tests passed",
+                            "output_text": "Build log output...",
+                            "annotations": [],
+                        }
+                    ],
+                    "total_count": 1,
+                }
+            },
+        )
+
+    @staticmethod
+    async def get_commit_sha(api, repo: str, target: str | int) -> str:
+        """Get commit SHA from either a commit SHA or PR URL."""
+        # If it's already a SHA, return it
+
+        if isinstance(target, str):
+            if re.match(r"^[0-9a-f]{6,40}$", target, re.IGNORECASE):
+                return target
+
+        # If it's a PR URL, get the head SHA
+        if isinstance(target, int):
+            pr_url = f"https://api.github.com/repos/{repo}/pulls/{target}"
+            response = await api.get(pr_url)
+            pr_data = response.json()
+            return pr_data["head"]["sha"]
+
+        raise ValueError("Target must be a commit SHA or PR URL")
+
+    @staticmethod
+    async def search_in_logs(
+        check_runs: list,
+        pattern: str,
+    ) -> list[Output.MatchedLine]:
+        """Search for pattern in check run logs."""
+        if not pattern:
+            return []
+
+        matched_lines = []
+        regex = re.compile(pattern, re.IGNORECASE | re.MULTILINE)
+
+        for check in check_runs:
+            output_text = check.get("output_text", "") or ""
+            if not output_text:
+                continue
+
+            lines = output_text.split("\n")
+            for i, line in enumerate(lines):
+                if regex.search(line):
+                    # Get context (2 lines before and after)
+                    start = max(0, i - 2)
+                    end = min(len(lines), i + 3)
+                    context = lines[start:end]
+
+                    matched_lines.append(
+                        {
+                            "check_name": check["name"],
+                            "line_number": i + 1,
+                            "line": line,
+                            "context": context,
+                        }
+                    )
+
+        return matched_lines
+
+    @staticmethod
+    async def get_ci_results(
+        credentials: GithubCredentials,
+        repo: str,
+        target: str | int,
+        search_pattern: Optional[str] = None,
+        check_name_filter: Optional[str] = None,
+    ) -> dict:
+        api = get_api(credentials, convert_urls=False)
+
+        # Get the commit SHA
+        commit_sha = await GithubGetCIResultsBlock.get_commit_sha(api, repo, target)
+
+        # Get check runs for the commit
+        check_runs_url = (
+            f"https://api.github.com/repos/{repo}/commits/{commit_sha}/check-runs"
+        )
+
+        # Get all pages of check runs
+        all_check_runs = []
+        page = 1
+        per_page = 100
+
+        while True:
+            response = await api.get(
+                check_runs_url, params={"per_page": per_page, "page": page}
+            )
+            data = response.json()
+
+            check_runs = data.get("check_runs", [])
+            all_check_runs.extend(check_runs)
+
+            if len(check_runs) < per_page:
+                break
+            page += 1
+
+        # Filter by check name if specified
+        if check_name_filter:
+            import fnmatch
+
+            filtered_runs = []
+            for run in all_check_runs:
+                if fnmatch.fnmatch(run["name"].lower(), check_name_filter.lower()):
+                    filtered_runs.append(run)
+            all_check_runs = filtered_runs
+
+        # Get check run details with logs
+        detailed_runs = []
+        for run in all_check_runs:
+            # Get detailed output including logs
+            if run.get("output", {}).get("text"):
+                # Already has output
+                detailed_run = {
+                    "id": run["id"],
+                    "name": run["name"],
+                    "status": run["status"],
+                    "conclusion": run.get("conclusion"),
+                    "started_at": run.get("started_at"),
+                    "completed_at": run.get("completed_at"),
+                    "html_url": run["html_url"],
+                    "details_url": run.get("details_url"),
+                    "output_title": run.get("output", {}).get("title"),
+                    "output_summary": run.get("output", {}).get("summary"),
+                    "output_text": run.get("output", {}).get("text"),
+                    "annotations": [],
+                }
+            else:
+                # Try to get logs from the check run
+                detailed_run = {
+                    "id": run["id"],
+                    "name": run["name"],
+                    "status": run["status"],
+                    "conclusion": run.get("conclusion"),
+                    "started_at": run.get("started_at"),
+                    "completed_at": run.get("completed_at"),
+                    "html_url": run["html_url"],
+                    "details_url": run.get("details_url"),
+                    "output_title": run.get("output", {}).get("title"),
+                    "output_summary": run.get("output", {}).get("summary"),
+                    "output_text": None,
+                    "annotations": [],
+                }
+
+            # Get annotations if available
+            if run.get("output", {}).get("annotations_count", 0) > 0:
+                annotations_url = f"https://api.github.com/repos/{repo}/check-runs/{run['id']}/annotations"
+                try:
+                    ann_response = await api.get(annotations_url)
+                    detailed_run["annotations"] = ann_response.json()
+                except Exception:
+                    pass
+
+            detailed_runs.append(detailed_run)
+
+        return {
+            "check_runs": detailed_runs,
+            "total_count": len(detailed_runs),
+        }
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+
+        try:
+            target = int(input_data.target)
+        except ValueError:
+            target = input_data.target
+
+        result = await self.get_ci_results(
+            credentials,
+            input_data.repo,
+            target,
+            input_data.search_pattern,
+            input_data.check_name_filter,
+        )
+
+        check_runs = result["check_runs"]
+
+        # Calculate overall status
+        if not check_runs:
+            yield "overall_status", "no_checks"
+            yield "overall_conclusion", "no_checks"
+        else:
+            all_completed = all(run["status"] == "completed" for run in check_runs)
+            if all_completed:
+                yield "overall_status", "completed"
+                # Determine overall conclusion
+                has_failure = any(
+                    run["conclusion"] in ["failure", "timed_out", "action_required"]
+                    for run in check_runs
+                )
+                if has_failure:
+                    yield "overall_conclusion", "failure"
+                else:
+                    yield "overall_conclusion", "success"
+            else:
+                yield "overall_status", "pending"
+                yield "overall_conclusion", "pending"
+
+        # Count checks
+        total = len(check_runs)
+        passed = sum(1 for run in check_runs if run.get("conclusion") == "success")
+        failed = sum(
+            1 for run in check_runs if run.get("conclusion") in ["failure", "timed_out"]
+        )
+
+        yield "total_checks", total
+        yield "passed_checks", passed
+        yield "failed_checks", failed
+
+        # Output check runs
+        yield "check_runs", check_runs
+
+        # Search for patterns if specified
+        if input_data.search_pattern:
+            matched_lines = await self.search_in_logs(
+                check_runs, input_data.search_pattern
+            )
+            if matched_lines:
+                yield "matched_lines", matched_lines
diff --git a/autogpt_platform/backend/backend/blocks/github/issues.py b/autogpt_platform/backend/backend/blocks/github/issues.py
index ff1d0a41ad0e..29766cabc736 100644
--- a/autogpt_platform/backend/backend/blocks/github/issues.py
+++ b/autogpt_platform/backend/backend/blocks/github/issues.py
@@ -1,3 +1,4 @@
+import logging
 from urllib.parse import urlparse
 
 from typing_extensions import TypedDict
@@ -5,7 +6,7 @@
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
 
-from ._api import get_api
+from ._api import convert_comment_url_to_api_endpoint, get_api
 from ._auth import (
     TEST_CREDENTIALS,
     TEST_CREDENTIALS_INPUT,
@@ -14,6 +15,8 @@
     GithubCredentialsInput,
 )
 
+logger = logging.getLogger(__name__)
+
 
 def is_github_url(url: str) -> bool:
     return urlparse(url).netloc == "github.com"
@@ -77,7 +80,7 @@ def __init__(self):
         )
 
     @staticmethod
-    def post_comment(
+    async def post_comment(
         credentials: GithubCredentials, issue_url: str, body_text: str
     ) -> tuple[int, str]:
         api = get_api(credentials)
@@ -85,18 +88,18 @@ def post_comment(
         if "pull" in issue_url:
             issue_url = issue_url.replace("pull", "issues")
         comments_url = issue_url + "/comments"
-        response = api.post(comments_url, json=data)
+        response = await api.post(comments_url, json=data)
         comment = response.json()
         return comment["id"], comment["html_url"]
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        id, url = self.post_comment(
+        id, url = await self.post_comment(
             credentials,
             input_data.issue_url,
             input_data.comment,
@@ -108,6 +111,229 @@ def run(
 # --8<-- [end:GithubCommentBlockExample]
 
 
+class GithubUpdateCommentBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        comment_url: str = SchemaField(
+            description="URL of the GitHub comment",
+            placeholder="https://github.com/owner/repo/issues/1#issuecomment-123456789",
+            default="",
+            advanced=False,
+        )
+        issue_url: str = SchemaField(
+            description="URL of the GitHub issue or pull request",
+            placeholder="https://github.com/owner/repo/issues/1",
+            default="",
+        )
+        comment_id: str = SchemaField(
+            description="ID of the GitHub comment",
+            placeholder="123456789",
+            default="",
+        )
+        comment: str = SchemaField(
+            description="Comment to update",
+            placeholder="Enter your comment",
+        )
+
+    class Output(BlockSchema):
+        id: int = SchemaField(description="ID of the updated comment")
+        url: str = SchemaField(description="URL to the comment on GitHub")
+        error: str = SchemaField(
+            description="Error message if the comment update failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="b3f4d747-10e3-4e69-8c51-f2be1d99c9a7",
+            description="This block updates a comment on a specified GitHub issue or pull request.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubUpdateCommentBlock.Input,
+            output_schema=GithubUpdateCommentBlock.Output,
+            test_input={
+                "comment_url": "https://github.com/owner/repo/issues/1#issuecomment-123456789",
+                "comment": "This is an updated comment.",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", 123456789),
+                (
+                    "url",
+                    "https://github.com/owner/repo/issues/1#issuecomment-123456789",
+                ),
+            ],
+            test_mock={
+                "update_comment": lambda *args, **kwargs: (
+                    123456789,
+                    "https://github.com/owner/repo/issues/1#issuecomment-123456789",
+                )
+            },
+        )
+
+    @staticmethod
+    async def update_comment(
+        credentials: GithubCredentials, comment_url: str, body_text: str
+    ) -> tuple[int, str]:
+        api = get_api(credentials, convert_urls=False)
+        data = {"body": body_text}
+        url = convert_comment_url_to_api_endpoint(comment_url)
+
+        logger.info(url)
+        response = await api.patch(url, json=data)
+        comment = response.json()
+        return comment["id"], comment["html_url"]
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        if (
+            not input_data.comment_url
+            and input_data.comment_id
+            and input_data.issue_url
+        ):
+            parsed_url = urlparse(input_data.issue_url)
+            path_parts = parsed_url.path.strip("/").split("/")
+            owner, repo = path_parts[0], path_parts[1]
+
+            input_data.comment_url = f"https://api.github.com/repos/{owner}/{repo}/issues/comments/{input_data.comment_id}"
+
+        elif (
+            not input_data.comment_url
+            and not input_data.comment_id
+            and input_data.issue_url
+        ):
+            raise ValueError(
+                "Must provide either comment_url or comment_id and issue_url"
+            )
+        id, url = await self.update_comment(
+            credentials,
+            input_data.comment_url,
+            input_data.comment,
+        )
+        yield "id", id
+        yield "url", url
+
+
+class GithubListCommentsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        issue_url: str = SchemaField(
+            description="URL of the GitHub issue or pull request",
+            placeholder="https://github.com/owner/repo/issues/1",
+        )
+
+    class Output(BlockSchema):
+        class CommentItem(TypedDict):
+            id: int
+            body: str
+            user: str
+            url: str
+
+        comment: CommentItem = SchemaField(
+            title="Comment", description="Comments with their ID, body, user, and URL"
+        )
+        comments: list[CommentItem] = SchemaField(
+            description="List of comments with their ID, body, user, and URL"
+        )
+        error: str = SchemaField(description="Error message if listing comments failed")
+
+    def __init__(self):
+        super().__init__(
+            id="c4b5fb63-0005-4a11-b35a-0c2467bd6b59",
+            description="This block lists all comments for a specified GitHub issue or pull request.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubListCommentsBlock.Input,
+            output_schema=GithubListCommentsBlock.Output,
+            test_input={
+                "issue_url": "https://github.com/owner/repo/issues/1",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "comment",
+                    {
+                        "id": 123456789,
+                        "body": "This is a test comment.",
+                        "user": "test_user",
+                        "url": "https://github.com/owner/repo/issues/1#issuecomment-123456789",
+                    },
+                ),
+                (
+                    "comments",
+                    [
+                        {
+                            "id": 123456789,
+                            "body": "This is a test comment.",
+                            "user": "test_user",
+                            "url": "https://github.com/owner/repo/issues/1#issuecomment-123456789",
+                        }
+                    ],
+                ),
+            ],
+            test_mock={
+                "list_comments": lambda *args, **kwargs: [
+                    {
+                        "id": 123456789,
+                        "body": "This is a test comment.",
+                        "user": "test_user",
+                        "url": "https://github.com/owner/repo/issues/1#issuecomment-123456789",
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    async def list_comments(
+        credentials: GithubCredentials, issue_url: str
+    ) -> list[Output.CommentItem]:
+        parsed_url = urlparse(issue_url)
+        path_parts = parsed_url.path.strip("/").split("/")
+
+        owner = path_parts[0]
+        repo = path_parts[1]
+
+        # GitHub API uses 'issues' for both issues and pull requests when it comes to comments
+        issue_number = path_parts[3]  # Whether 'issues/123' or 'pull/123'
+
+        # Construct the proper API URL directly
+        api_url = f"https://api.github.com/repos/{owner}/{repo}/issues/{issue_number}/comments"
+
+        # Set convert_urls=False since we're already providing an API URL
+        api = get_api(credentials, convert_urls=False)
+        response = await api.get(api_url)
+        comments = response.json()
+        parsed_comments: list[GithubListCommentsBlock.Output.CommentItem] = [
+            {
+                "id": comment["id"],
+                "body": comment["body"],
+                "user": comment["user"]["login"],
+                "url": comment["html_url"],
+            }
+            for comment in comments
+        ]
+        return parsed_comments
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        comments = await self.list_comments(
+            credentials,
+            input_data.issue_url,
+        )
+        for comment in comments:
+            yield "comment", comment
+        yield "comments", comments
+
+
 class GithubMakeIssueBlock(Block):
     class Input(BlockSchema):
         credentials: GithubCredentialsInput = GithubCredentialsField("repo")
@@ -156,24 +382,24 @@ def __init__(self):
         )
 
     @staticmethod
-    def create_issue(
+    async def create_issue(
         credentials: GithubCredentials, repo_url: str, title: str, body: str
     ) -> tuple[int, str]:
         api = get_api(credentials)
         data = {"title": title, "body": body}
         issues_url = repo_url + "/issues"
-        response = api.post(issues_url, json=data)
+        response = await api.post(issues_url, json=data)
         issue = response.json()
         return issue["number"], issue["html_url"]
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        number, url = self.create_issue(
+        number, url = await self.create_issue(
             credentials,
             input_data.repo_url,
             input_data.title,
@@ -226,25 +452,25 @@ def __init__(self):
         )
 
     @staticmethod
-    def read_issue(
+    async def read_issue(
         credentials: GithubCredentials, issue_url: str
     ) -> tuple[str, str, str]:
         api = get_api(credentials)
-        response = api.get(issue_url)
+        response = await api.get(issue_url)
         data = response.json()
         title = data.get("title", "No title found")
         body = data.get("body", "No body content found")
         user = data.get("user", {}).get("login", "No user found")
         return title, body, user
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        title, body, user = self.read_issue(
+        title, body, user = await self.read_issue(
             credentials,
             input_data.issue_url,
         )
@@ -272,6 +498,9 @@ class IssueItem(TypedDict):
         issue: IssueItem = SchemaField(
             title="Issue", description="Issues with their title and URL"
         )
+        issues: list[IssueItem] = SchemaField(
+            description="List of issues with their title and URL"
+        )
         error: str = SchemaField(description="Error message if listing issues failed")
 
     def __init__(self):
@@ -287,13 +516,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "issues",
+                    [
+                        {
+                            "title": "Issue 1",
+                            "url": "https://github.com/owner/repo/issues/1",
+                        }
+                    ],
+                ),
                 (
                     "issue",
                     {
                         "title": "Issue 1",
                         "url": "https://github.com/owner/repo/issues/1",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_issues": lambda *args, **kwargs: [
@@ -306,30 +544,32 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_issues(
+    async def list_issues(
         credentials: GithubCredentials, repo_url: str
     ) -> list[Output.IssueItem]:
         api = get_api(credentials)
         issues_url = repo_url + "/issues"
-        response = api.get(issues_url)
+        response = await api.get(issues_url)
         data = response.json()
         issues: list[GithubListIssuesBlock.Output.IssueItem] = [
             {"title": issue["title"], "url": issue["html_url"]} for issue in data
         ]
         return issues
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        issues = self.list_issues(
+        issues = await self.list_issues(
             credentials,
             input_data.repo_url,
         )
-        yield from (("issue", issue) for issue in issues)
+        yield "issues", issues
+        for issue in issues:
+            yield "issue", issue
 
 
 class GithubAddLabelBlock(Block):
@@ -368,21 +608,23 @@ def __init__(self):
         )
 
     @staticmethod
-    def add_label(credentials: GithubCredentials, issue_url: str, label: str) -> str:
+    async def add_label(
+        credentials: GithubCredentials, issue_url: str, label: str
+    ) -> str:
         api = get_api(credentials)
         data = {"labels": [label]}
         labels_url = issue_url + "/labels"
-        api.post(labels_url, json=data)
+        await api.post(labels_url, json=data)
         return "Label added successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        status = self.add_label(
+        status = await self.add_label(
             credentials,
             input_data.issue_url,
             input_data.label,
@@ -428,20 +670,22 @@ def __init__(self):
         )
 
     @staticmethod
-    def remove_label(credentials: GithubCredentials, issue_url: str, label: str) -> str:
+    async def remove_label(
+        credentials: GithubCredentials, issue_url: str, label: str
+    ) -> str:
         api = get_api(credentials)
         label_url = issue_url + f"/labels/{label}"
-        api.delete(label_url)
+        await api.delete(label_url)
         return "Label removed successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        status = self.remove_label(
+        status = await self.remove_label(
             credentials,
             input_data.issue_url,
             input_data.label,
@@ -489,7 +733,7 @@ def __init__(self):
         )
 
     @staticmethod
-    def assign_issue(
+    async def assign_issue(
         credentials: GithubCredentials,
         issue_url: str,
         assignee: str,
@@ -497,17 +741,17 @@ def assign_issue(
         api = get_api(credentials)
         assignees_url = issue_url + "/assignees"
         data = {"assignees": [assignee]}
-        api.post(assignees_url, json=data)
+        await api.post(assignees_url, json=data)
         return "Issue assigned successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        status = self.assign_issue(
+        status = await self.assign_issue(
             credentials,
             input_data.issue_url,
             input_data.assignee,
@@ -555,7 +799,7 @@ def __init__(self):
         )
 
     @staticmethod
-    def unassign_issue(
+    async def unassign_issue(
         credentials: GithubCredentials,
         issue_url: str,
         assignee: str,
@@ -563,17 +807,17 @@ def unassign_issue(
         api = get_api(credentials)
         assignees_url = issue_url + "/assignees"
         data = {"assignees": [assignee]}
-        api.delete(assignees_url, json=data)
+        await api.delete(assignees_url, json=data)
         return "Issue unassigned successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        status = self.unassign_issue(
+        status = await self.unassign_issue(
             credentials,
             input_data.issue_url,
             input_data.assignee,
diff --git a/autogpt_platform/backend/backend/blocks/github/pull_requests.py b/autogpt_platform/backend/backend/blocks/github/pull_requests.py
index e8fad2daa66a..90370f8166e7 100644
--- a/autogpt_platform/backend/backend/blocks/github/pull_requests.py
+++ b/autogpt_platform/backend/backend/blocks/github/pull_requests.py
@@ -31,7 +31,12 @@ class PRItem(TypedDict):
         pull_request: PRItem = SchemaField(
             title="Pull Request", description="PRs with their title and URL"
         )
-        error: str = SchemaField(description="Error message if listing issues failed")
+        pull_requests: list[PRItem] = SchemaField(
+            description="List of pull requests with their title and URL"
+        )
+        error: str = SchemaField(
+            description="Error message if listing pull requests failed"
+        )
 
     def __init__(self):
         super().__init__(
@@ -46,13 +51,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "pull_requests",
+                    [
+                        {
+                            "title": "Pull request 1",
+                            "url": "https://github.com/owner/repo/pull/1",
+                        }
+                    ],
+                ),
                 (
                     "pull_request",
                     {
                         "title": "Pull request 1",
                         "url": "https://github.com/owner/repo/pull/1",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_prs": lambda *args, **kwargs: [
@@ -65,28 +79,32 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_prs(credentials: GithubCredentials, repo_url: str) -> list[Output.PRItem]:
+    async def list_prs(
+        credentials: GithubCredentials, repo_url: str
+    ) -> list[Output.PRItem]:
         api = get_api(credentials)
         pulls_url = repo_url + "/pulls"
-        response = api.get(pulls_url)
+        response = await api.get(pulls_url)
         data = response.json()
         pull_requests: list[GithubListPullRequestsBlock.Output.PRItem] = [
             {"title": pr["title"], "url": pr["html_url"]} for pr in data
         ]
         return pull_requests
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        pull_requests = self.list_prs(
+        pull_requests = await self.list_prs(
             credentials,
             input_data.repo_url,
         )
-        yield from (("pull_request", pr) for pr in pull_requests)
+        yield "pull_requests", pull_requests
+        for pr in pull_requests:
+            yield "pull_request", pr
 
 
 class GithubMakePullRequestBlock(Block):
@@ -153,7 +171,7 @@ def __init__(self):
         )
 
     @staticmethod
-    def create_pr(
+    async def create_pr(
         credentials: GithubCredentials,
         repo_url: str,
         title: str,
@@ -164,11 +182,11 @@ def create_pr(
         api = get_api(credentials)
         pulls_url = repo_url + "/pulls"
         data = {"title": title, "body": body, "head": head, "base": base}
-        response = api.post(pulls_url, json=data)
+        response = await api.post(pulls_url, json=data)
         pr_data = response.json()
         return pr_data["number"], pr_data["html_url"]
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
@@ -176,7 +194,7 @@ def run(
         **kwargs,
     ) -> BlockOutput:
         try:
-            number, url = self.create_pr(
+            number, url = await self.create_pr(
                 credentials,
                 input_data.repo_url,
                 input_data.title,
@@ -200,6 +218,7 @@ class Input(BlockSchema):
         include_pr_changes: bool = SchemaField(
             description="Whether to include the changes made in the pull request",
             default=False,
+            advanced=False,
         )
 
     class Output(BlockSchema):
@@ -241,39 +260,55 @@ def __init__(self):
         )
 
     @staticmethod
-    def read_pr(credentials: GithubCredentials, pr_url: str) -> tuple[str, str, str]:
+    async def read_pr(
+        credentials: GithubCredentials, pr_url: str
+    ) -> tuple[str, str, str]:
         api = get_api(credentials)
-        # Adjust the URL to access the issue endpoint for PR metadata
         issue_url = pr_url.replace("/pull/", "/issues/")
-        response = api.get(issue_url)
+        response = await api.get(issue_url)
         data = response.json()
         title = data.get("title", "No title found")
         body = data.get("body", "No body content found")
-        author = data.get("user", {}).get("login", "No user found")
+        author = data.get("user", {}).get("login", "Unknown author")
         return title, body, author
 
     @staticmethod
-    def read_pr_changes(credentials: GithubCredentials, pr_url: str) -> str:
+    async def read_pr_changes(credentials: GithubCredentials, pr_url: str) -> str:
         api = get_api(credentials)
         files_url = prepare_pr_api_url(pr_url=pr_url, path="files")
-        response = api.get(files_url)
+        response = await api.get(files_url)
         files = response.json()
         changes = []
         for file in files:
-            filename = file.get("filename")
-            patch = file.get("patch")
-            if filename and patch:
-                changes.append(f"File: {filename}\n{patch}")
+            status: str = file.get("status", "")
+            diff: str = file.get("patch", "")
+            if status != "removed":
+                is_filename: str = file.get("filename", "")
+                was_filename: str = (
+                    file.get("previous_filename", is_filename)
+                    if status != "added"
+                    else ""
+                )
+            else:
+                is_filename = ""
+                was_filename: str = file.get("filename", "")
+
+            patch_header = ""
+            if was_filename:
+                patch_header += f"--- {was_filename}\n"
+            if is_filename:
+                patch_header += f"+++ {is_filename}\n"
+            changes.append(patch_header + diff)
         return "\n\n".join(changes)
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        title, body, author = self.read_pr(
+        title, body, author = await self.read_pr(
             credentials,
             input_data.pr_url,
         )
@@ -282,7 +317,7 @@ def run(
         yield "author", author
 
         if input_data.include_pr_changes:
-            changes = self.read_pr_changes(
+            changes = await self.read_pr_changes(
                 credentials,
                 input_data.pr_url,
             )
@@ -329,16 +364,16 @@ def __init__(self):
         )
 
     @staticmethod
-    def assign_reviewer(
+    async def assign_reviewer(
         credentials: GithubCredentials, pr_url: str, reviewer: str
     ) -> str:
         api = get_api(credentials)
         reviewers_url = prepare_pr_api_url(pr_url=pr_url, path="requested_reviewers")
         data = {"reviewers": [reviewer]}
-        api.post(reviewers_url, json=data)
+        await api.post(reviewers_url, json=data)
         return "Reviewer assigned successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
@@ -346,7 +381,7 @@ def run(
         **kwargs,
     ) -> BlockOutput:
         try:
-            status = self.assign_reviewer(
+            status = await self.assign_reviewer(
                 credentials,
                 input_data.pr_url,
                 input_data.reviewer,
@@ -396,16 +431,16 @@ def __init__(self):
         )
 
     @staticmethod
-    def unassign_reviewer(
+    async def unassign_reviewer(
         credentials: GithubCredentials, pr_url: str, reviewer: str
     ) -> str:
         api = get_api(credentials)
         reviewers_url = prepare_pr_api_url(pr_url=pr_url, path="requested_reviewers")
         data = {"reviewers": [reviewer]}
-        api.delete(reviewers_url, json=data)
+        await api.delete(reviewers_url, json=data)
         return "Reviewer unassigned successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
@@ -413,7 +448,7 @@ def run(
         **kwargs,
     ) -> BlockOutput:
         try:
-            status = self.unassign_reviewer(
+            status = await self.unassign_reviewer(
                 credentials,
                 input_data.pr_url,
                 input_data.reviewer,
@@ -440,6 +475,9 @@ class ReviewerItem(TypedDict):
             title="Reviewer",
             description="Reviewers with their username and profile URL",
         )
+        reviewers: list[ReviewerItem] = SchemaField(
+            description="List of reviewers with their username and profile URL"
+        )
         error: str = SchemaField(
             description="Error message if listing reviewers failed"
         )
@@ -457,13 +495,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "reviewers",
+                    [
+                        {
+                            "username": "reviewer1",
+                            "url": "https://github.com/reviewer1",
+                        }
+                    ],
+                ),
                 (
                     "reviewer",
                     {
                         "username": "reviewer1",
                         "url": "https://github.com/reviewer1",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_reviewers": lambda *args, **kwargs: [
@@ -476,12 +523,12 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_reviewers(
+    async def list_reviewers(
         credentials: GithubCredentials, pr_url: str
     ) -> list[Output.ReviewerItem]:
         api = get_api(credentials)
         reviewers_url = prepare_pr_api_url(pr_url=pr_url, path="requested_reviewers")
-        response = api.get(reviewers_url)
+        response = await api.get(reviewers_url)
         data = response.json()
         reviewers: list[GithubListPRReviewersBlock.Output.ReviewerItem] = [
             {"username": reviewer["login"], "url": reviewer["html_url"]}
@@ -489,18 +536,20 @@ def list_reviewers(
         ]
         return reviewers
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        reviewers = self.list_reviewers(
+        reviewers = await self.list_reviewers(
             credentials,
             input_data.pr_url,
         )
-        yield from (("reviewer", reviewer) for reviewer in reviewers)
+        yield "reviewers", reviewers
+        for reviewer in reviewers:
+            yield "reviewer", reviewer
 
 
 def prepare_pr_api_url(pr_url: str, path: str) -> str:
diff --git a/autogpt_platform/backend/backend/blocks/github/repo.py b/autogpt_platform/backend/backend/blocks/github/repo.py
index 7e2521181862..08c1d038d30a 100644
--- a/autogpt_platform/backend/backend/blocks/github/repo.py
+++ b/autogpt_platform/backend/backend/blocks/github/repo.py
@@ -31,6 +31,9 @@ class TagItem(TypedDict):
         tag: TagItem = SchemaField(
             title="Tag", description="Tags with their name and file tree browser URL"
         )
+        tags: list[TagItem] = SchemaField(
+            description="List of tags with their name and file tree browser URL"
+        )
         error: str = SchemaField(description="Error message if listing tags failed")
 
     def __init__(self):
@@ -46,13 +49,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "tags",
+                    [
+                        {
+                            "name": "v1.0.0",
+                            "url": "https://github.com/owner/repo/tree/v1.0.0",
+                        }
+                    ],
+                ),
                 (
                     "tag",
                     {
                         "name": "v1.0.0",
                         "url": "https://github.com/owner/repo/tree/v1.0.0",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_tags": lambda *args, **kwargs: [
@@ -65,12 +77,12 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_tags(
+    async def list_tags(
         credentials: GithubCredentials, repo_url: str
     ) -> list[Output.TagItem]:
         api = get_api(credentials)
         tags_url = repo_url + "/tags"
-        response = api.get(tags_url)
+        response = await api.get(tags_url)
         data = response.json()
         repo_path = repo_url.replace("https://github.com/", "")
         tags: list[GithubListTagsBlock.Output.TagItem] = [
@@ -82,18 +94,20 @@ def list_tags(
         ]
         return tags
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        tags = self.list_tags(
+        tags = await self.list_tags(
             credentials,
             input_data.repo_url,
         )
-        yield from (("tag", tag) for tag in tags)
+        yield "tags", tags
+        for tag in tags:
+            yield "tag", tag
 
 
 class GithubListBranchesBlock(Block):
@@ -113,6 +127,9 @@ class BranchItem(TypedDict):
             title="Branch",
             description="Branches with their name and file tree browser URL",
         )
+        branches: list[BranchItem] = SchemaField(
+            description="List of branches with their name and file tree browser URL"
+        )
         error: str = SchemaField(description="Error message if listing branches failed")
 
     def __init__(self):
@@ -128,13 +145,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "branches",
+                    [
+                        {
+                            "name": "main",
+                            "url": "https://github.com/owner/repo/tree/main",
+                        }
+                    ],
+                ),
                 (
                     "branch",
                     {
                         "name": "main",
                         "url": "https://github.com/owner/repo/tree/main",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_branches": lambda *args, **kwargs: [
@@ -147,12 +173,12 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_branches(
+    async def list_branches(
         credentials: GithubCredentials, repo_url: str
     ) -> list[Output.BranchItem]:
         api = get_api(credentials)
         branches_url = repo_url + "/branches"
-        response = api.get(branches_url)
+        response = await api.get(branches_url)
         data = response.json()
         repo_path = repo_url.replace("https://github.com/", "")
         branches: list[GithubListBranchesBlock.Output.BranchItem] = [
@@ -164,18 +190,20 @@ def list_branches(
         ]
         return branches
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        branches = self.list_branches(
+        branches = await self.list_branches(
             credentials,
             input_data.repo_url,
         )
-        yield from (("branch", branch) for branch in branches)
+        yield "branches", branches
+        for branch in branches:
+            yield "branch", branch
 
 
 class GithubListDiscussionsBlock(Block):
@@ -197,6 +225,9 @@ class DiscussionItem(TypedDict):
         discussion: DiscussionItem = SchemaField(
             title="Discussion", description="Discussions with their title and URL"
         )
+        discussions: list[DiscussionItem] = SchemaField(
+            description="List of discussions with their title and URL"
+        )
         error: str = SchemaField(
             description="Error message if listing discussions failed"
         )
@@ -215,13 +246,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "discussions",
+                    [
+                        {
+                            "title": "Discussion 1",
+                            "url": "https://github.com/owner/repo/discussions/1",
+                        }
+                    ],
+                ),
                 (
                     "discussion",
                     {
                         "title": "Discussion 1",
                         "url": "https://github.com/owner/repo/discussions/1",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_discussions": lambda *args, **kwargs: [
@@ -234,7 +274,7 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_discussions(
+    async def list_discussions(
         credentials: GithubCredentials, repo_url: str, num_discussions: int
     ) -> list[Output.DiscussionItem]:
         api = get_api(credentials)
@@ -254,7 +294,7 @@ def list_discussions(
         }
         """
         variables = {"owner": owner, "repo": repo, "num": num_discussions}
-        response = api.post(
+        response = await api.post(
             "https://api.github.com/graphql",
             json={"query": query, "variables": variables},
         )
@@ -265,17 +305,21 @@ def list_discussions(
         ]
         return discussions
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        discussions = self.list_discussions(
-            credentials, input_data.repo_url, input_data.num_discussions
+        discussions = await self.list_discussions(
+            credentials,
+            input_data.repo_url,
+            input_data.num_discussions,
         )
-        yield from (("discussion", discussion) for discussion in discussions)
+        yield "discussions", discussions
+        for discussion in discussions:
+            yield "discussion", discussion
 
 
 class GithubListReleasesBlock(Block):
@@ -295,6 +339,9 @@ class ReleaseItem(TypedDict):
             title="Release",
             description="Releases with their name and file tree browser URL",
         )
+        releases: list[ReleaseItem] = SchemaField(
+            description="List of releases with their name and file tree browser URL"
+        )
         error: str = SchemaField(description="Error message if listing releases failed")
 
     def __init__(self):
@@ -310,13 +357,22 @@ def __init__(self):
             },
             test_credentials=TEST_CREDENTIALS,
             test_output=[
+                (
+                    "releases",
+                    [
+                        {
+                            "name": "v1.0.0",
+                            "url": "https://github.com/owner/repo/releases/tag/v1.0.0",
+                        }
+                    ],
+                ),
                 (
                     "release",
                     {
                         "name": "v1.0.0",
                         "url": "https://github.com/owner/repo/releases/tag/v1.0.0",
                     },
-                )
+                ),
             ],
             test_mock={
                 "list_releases": lambda *args, **kwargs: [
@@ -329,30 +385,32 @@ def __init__(self):
         )
 
     @staticmethod
-    def list_releases(
+    async def list_releases(
         credentials: GithubCredentials, repo_url: str
     ) -> list[Output.ReleaseItem]:
         api = get_api(credentials)
         releases_url = repo_url + "/releases"
-        response = api.get(releases_url)
+        response = await api.get(releases_url)
         data = response.json()
         releases: list[GithubListReleasesBlock.Output.ReleaseItem] = [
             {"name": release["name"], "url": release["html_url"]} for release in data
         ]
         return releases
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        releases = self.list_releases(
+        releases = await self.list_releases(
             credentials,
             input_data.repo_url,
         )
-        yield from (("release", release) for release in releases)
+        yield "releases", releases
+        for release in releases:
+            yield "release", release
 
 
 class GithubReadFileBlock(Block):
@@ -405,40 +463,40 @@ def __init__(self):
         )
 
     @staticmethod
-    def read_file(
+    async def read_file(
         credentials: GithubCredentials, repo_url: str, file_path: str, branch: str
     ) -> tuple[str, int]:
         api = get_api(credentials)
         content_url = repo_url + f"/contents/{file_path}?ref={branch}"
-        response = api.get(content_url)
-        content = response.json()
+        response = await api.get(content_url)
+        data = response.json()
 
-        if isinstance(content, list):
+        if isinstance(data, list):
             # Multiple entries of different types exist at this path
-            if not (file := next((f for f in content if f["type"] == "file"), None)):
+            if not (file := next((f for f in data if f["type"] == "file"), None)):
                 raise TypeError("Not a file")
-            content = file
+            data = file
 
-        if content["type"] != "file":
+        if data["type"] != "file":
             raise TypeError("Not a file")
 
-        return content["content"], content["size"]
+        return data["content"], data["size"]
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        raw_content, size = self.read_file(
+        content, size = await self.read_file(
             credentials,
             input_data.repo_url,
-            input_data.file_path.lstrip("/"),
+            input_data.file_path,
             input_data.branch,
         )
-        yield "raw_content", raw_content
-        yield "text_content", base64.b64decode(raw_content).decode("utf-8")
+        yield "raw_content", content
+        yield "text_content", base64.b64decode(content).decode("utf-8")
         yield "size", size
 
 
@@ -515,52 +573,55 @@ def __init__(self):
         )
 
     @staticmethod
-    def read_folder(
+    async def read_folder(
         credentials: GithubCredentials, repo_url: str, folder_path: str, branch: str
     ) -> tuple[list[Output.FileEntry], list[Output.DirEntry]]:
         api = get_api(credentials)
         contents_url = repo_url + f"/contents/{folder_path}?ref={branch}"
-        response = api.get(contents_url)
-        content = response.json()
+        response = await api.get(contents_url)
+        data = response.json()
 
-        if not isinstance(content, list):
+        if not isinstance(data, list):
             raise TypeError("Not a folder")
 
-        files = [
+        files: list[GithubReadFolderBlock.Output.FileEntry] = [
             GithubReadFolderBlock.Output.FileEntry(
                 name=entry["name"],
                 path=entry["path"],
                 size=entry["size"],
             )
-            for entry in content
+            for entry in data
             if entry["type"] == "file"
         ]
-        dirs = [
+
+        dirs: list[GithubReadFolderBlock.Output.DirEntry] = [
             GithubReadFolderBlock.Output.DirEntry(
                 name=entry["name"],
                 path=entry["path"],
             )
-            for entry in content
+            for entry in data
             if entry["type"] == "dir"
         ]
 
         return files, dirs
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        files, dirs = self.read_folder(
+        files, dirs = await self.read_folder(
             credentials,
             input_data.repo_url,
             input_data.folder_path.lstrip("/"),
             input_data.branch,
         )
-        yield from (("file", file) for file in files)
-        yield from (("dir", dir) for dir in dirs)
+        for file in files:
+            yield "file", file
+        for dir in dirs:
+            yield "dir", dir
 
 
 class GithubMakeBranchBlock(Block):
@@ -606,32 +667,35 @@ def __init__(self):
         )
 
     @staticmethod
-    def create_branch(
+    async def create_branch(
         credentials: GithubCredentials,
         repo_url: str,
         new_branch: str,
         source_branch: str,
     ) -> str:
         api = get_api(credentials)
-        # Get the SHA of the source branch
         ref_url = repo_url + f"/git/refs/heads/{source_branch}"
-        response = api.get(ref_url)
-        sha = response.json()["object"]["sha"]
+        response = await api.get(ref_url)
+        data = response.json()
+        sha = data["object"]["sha"]
 
         # Create the new branch
-        create_ref_url = repo_url + "/git/refs"
-        data = {"ref": f"refs/heads/{new_branch}", "sha": sha}
-        response = api.post(create_ref_url, json=data)
+        new_ref_url = repo_url + "/git/refs"
+        data = {
+            "ref": f"refs/heads/{new_branch}",
+            "sha": sha,
+        }
+        response = await api.post(new_ref_url, json=data)
         return "Branch created successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        status = self.create_branch(
+        status = await self.create_branch(
             credentials,
             input_data.repo_url,
             input_data.new_branch,
@@ -678,24 +742,432 @@ def __init__(self):
         )
 
     @staticmethod
-    def delete_branch(
+    async def delete_branch(
         credentials: GithubCredentials, repo_url: str, branch: str
     ) -> str:
         api = get_api(credentials)
         ref_url = repo_url + f"/git/refs/heads/{branch}"
-        api.delete(ref_url)
+        await api.delete(ref_url)
         return "Branch deleted successfully"
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
         credentials: GithubCredentials,
         **kwargs,
     ) -> BlockOutput:
-        status = self.delete_branch(
+        status = await self.delete_branch(
             credentials,
             input_data.repo_url,
             input_data.branch,
         )
         yield "status", status
+
+
+class GithubCreateFileBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo_url: str = SchemaField(
+            description="URL of the GitHub repository",
+            placeholder="https://github.com/owner/repo",
+        )
+        file_path: str = SchemaField(
+            description="Path where the file should be created",
+            placeholder="path/to/file.txt",
+        )
+        content: str = SchemaField(
+            description="Content to write to the file",
+            placeholder="File content here",
+        )
+        branch: str = SchemaField(
+            description="Branch where the file should be created",
+            default="main",
+        )
+        commit_message: str = SchemaField(
+            description="Message for the commit",
+            default="Create new file",
+        )
+
+    class Output(BlockSchema):
+        url: str = SchemaField(description="URL of the created file")
+        sha: str = SchemaField(description="SHA of the commit")
+        error: str = SchemaField(
+            description="Error message if the file creation failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="8fd132ac-b917-428a-8159-d62893e8a3fe",
+            description="This block creates a new file in a GitHub repository.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubCreateFileBlock.Input,
+            output_schema=GithubCreateFileBlock.Output,
+            test_input={
+                "repo_url": "https://github.com/owner/repo",
+                "file_path": "test/file.txt",
+                "content": "Test content",
+                "branch": "main",
+                "commit_message": "Create test file",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("url", "https://github.com/owner/repo/blob/main/test/file.txt"),
+                ("sha", "abc123"),
+            ],
+            test_mock={
+                "create_file": lambda *args, **kwargs: (
+                    "https://github.com/owner/repo/blob/main/test/file.txt",
+                    "abc123",
+                )
+            },
+        )
+
+    @staticmethod
+    async def create_file(
+        credentials: GithubCredentials,
+        repo_url: str,
+        file_path: str,
+        content: str,
+        branch: str,
+        commit_message: str,
+    ) -> tuple[str, str]:
+        api = get_api(credentials)
+        contents_url = repo_url + f"/contents/{file_path}"
+        content_base64 = base64.b64encode(content.encode()).decode()
+        data = {
+            "message": commit_message,
+            "content": content_base64,
+            "branch": branch,
+        }
+        response = await api.put(contents_url, json=data)
+        data = response.json()
+        return data["content"]["html_url"], data["commit"]["sha"]
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            url, sha = await self.create_file(
+                credentials,
+                input_data.repo_url,
+                input_data.file_path,
+                input_data.content,
+                input_data.branch,
+                input_data.commit_message,
+            )
+            yield "url", url
+            yield "sha", sha
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubUpdateFileBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo_url: str = SchemaField(
+            description="URL of the GitHub repository",
+            placeholder="https://github.com/owner/repo",
+        )
+        file_path: str = SchemaField(
+            description="Path to the file to update",
+            placeholder="path/to/file.txt",
+        )
+        content: str = SchemaField(
+            description="New content for the file",
+            placeholder="Updated content here",
+        )
+        branch: str = SchemaField(
+            description="Branch containing the file",
+            default="main",
+        )
+        commit_message: str = SchemaField(
+            description="Message for the commit",
+            default="Update file",
+        )
+
+    class Output(BlockSchema):
+        url: str = SchemaField(description="URL of the updated file")
+        sha: str = SchemaField(description="SHA of the commit")
+        error: str = SchemaField(description="Error message if the file update failed")
+
+    def __init__(self):
+        super().__init__(
+            id="30be12a4-57cb-4aa4-baf5-fcc68d136076",
+            description="This block updates an existing file in a GitHub repository.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubUpdateFileBlock.Input,
+            output_schema=GithubUpdateFileBlock.Output,
+            test_input={
+                "repo_url": "https://github.com/owner/repo",
+                "file_path": "test/file.txt",
+                "content": "Updated content",
+                "branch": "main",
+                "commit_message": "Update test file",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("url", "https://github.com/owner/repo/blob/main/test/file.txt"),
+                ("sha", "def456"),
+            ],
+            test_mock={
+                "update_file": lambda *args, **kwargs: (
+                    "https://github.com/owner/repo/blob/main/test/file.txt",
+                    "def456",
+                )
+            },
+        )
+
+    @staticmethod
+    async def update_file(
+        credentials: GithubCredentials,
+        repo_url: str,
+        file_path: str,
+        content: str,
+        branch: str,
+        commit_message: str,
+    ) -> tuple[str, str]:
+        api = get_api(credentials)
+        contents_url = repo_url + f"/contents/{file_path}"
+        params = {"ref": branch}
+        response = await api.get(contents_url, params=params)
+        data = response.json()
+
+        # Convert new content to base64
+        content_base64 = base64.b64encode(content.encode()).decode()
+        data = {
+            "message": commit_message,
+            "content": content_base64,
+            "sha": data["sha"],
+            "branch": branch,
+        }
+        response = await api.put(contents_url, json=data)
+        data = response.json()
+        return data["content"]["html_url"], data["commit"]["sha"]
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            url, sha = await self.update_file(
+                credentials,
+                input_data.repo_url,
+                input_data.file_path,
+                input_data.content,
+                input_data.branch,
+                input_data.commit_message,
+            )
+            yield "url", url
+            yield "sha", sha
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubCreateRepositoryBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        name: str = SchemaField(
+            description="Name of the repository to create",
+            placeholder="my-new-repo",
+        )
+        description: str = SchemaField(
+            description="Description of the repository",
+            placeholder="A description of the repository",
+            default="",
+        )
+        private: bool = SchemaField(
+            description="Whether the repository should be private",
+            default=False,
+        )
+        auto_init: bool = SchemaField(
+            description="Whether to initialize the repository with a README",
+            default=True,
+        )
+        gitignore_template: str = SchemaField(
+            description="Git ignore template to use (e.g., Python, Node, Java)",
+            default="",
+        )
+
+    class Output(BlockSchema):
+        url: str = SchemaField(description="URL of the created repository")
+        clone_url: str = SchemaField(description="Git clone URL of the repository")
+        error: str = SchemaField(
+            description="Error message if the repository creation failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="029ec3b8-1cfd-46d3-b6aa-28e4a706efd1",
+            description="This block creates a new GitHub repository.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubCreateRepositoryBlock.Input,
+            output_schema=GithubCreateRepositoryBlock.Output,
+            test_input={
+                "name": "test-repo",
+                "description": "A test repository",
+                "private": False,
+                "auto_init": True,
+                "gitignore_template": "Python",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("url", "https://github.com/owner/test-repo"),
+                ("clone_url", "https://github.com/owner/test-repo.git"),
+            ],
+            test_mock={
+                "create_repository": lambda *args, **kwargs: (
+                    "https://github.com/owner/test-repo",
+                    "https://github.com/owner/test-repo.git",
+                )
+            },
+        )
+
+    @staticmethod
+    async def create_repository(
+        credentials: GithubCredentials,
+        name: str,
+        description: str,
+        private: bool,
+        auto_init: bool,
+        gitignore_template: str,
+    ) -> tuple[str, str]:
+        api = get_api(credentials)
+        data = {
+            "name": name,
+            "description": description,
+            "private": private,
+            "auto_init": auto_init,
+            "gitignore_template": gitignore_template,
+        }
+        response = await api.post("https://api.github.com/user/repos", json=data)
+        data = response.json()
+        return data["html_url"], data["clone_url"]
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            url, clone_url = await self.create_repository(
+                credentials,
+                input_data.name,
+                input_data.description,
+                input_data.private,
+                input_data.auto_init,
+                input_data.gitignore_template,
+            )
+            yield "url", url
+            yield "clone_url", clone_url
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubListStargazersBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo_url: str = SchemaField(
+            description="URL of the GitHub repository",
+            placeholder="https://github.com/owner/repo",
+        )
+
+    class Output(BlockSchema):
+        class StargazerItem(TypedDict):
+            username: str
+            url: str
+
+        stargazer: StargazerItem = SchemaField(
+            title="Stargazer",
+            description="Stargazers with their username and profile URL",
+        )
+        stargazers: list[StargazerItem] = SchemaField(
+            description="List of stargazers with their username and profile URL"
+        )
+        error: str = SchemaField(
+            description="Error message if listing stargazers failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="a4b9c2d1-e5f6-4g7h-8i9j-0k1l2m3n4o5p",  # Generated unique UUID
+            description="This block lists all users who have starred a specified GitHub repository.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubListStargazersBlock.Input,
+            output_schema=GithubListStargazersBlock.Output,
+            test_input={
+                "repo_url": "https://github.com/owner/repo",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "stargazers",
+                    [
+                        {
+                            "username": "octocat",
+                            "url": "https://github.com/octocat",
+                        }
+                    ],
+                ),
+                (
+                    "stargazer",
+                    {
+                        "username": "octocat",
+                        "url": "https://github.com/octocat",
+                    },
+                ),
+            ],
+            test_mock={
+                "list_stargazers": lambda *args, **kwargs: [
+                    {
+                        "username": "octocat",
+                        "url": "https://github.com/octocat",
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    async def list_stargazers(
+        credentials: GithubCredentials, repo_url: str
+    ) -> list[Output.StargazerItem]:
+        api = get_api(credentials)
+        stargazers_url = repo_url + "/stargazers"
+        response = await api.get(stargazers_url)
+        data = response.json()
+        stargazers: list[GithubListStargazersBlock.Output.StargazerItem] = [
+            {
+                "username": stargazer["login"],
+                "url": stargazer["html_url"],
+            }
+            for stargazer in data
+        ]
+        return stargazers
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        stargazers = await self.list_stargazers(
+            credentials,
+            input_data.repo_url,
+        )
+        yield "stargazers", stargazers
+        for stargazer in stargazers:
+            yield "stargazer", stargazer
diff --git a/autogpt_platform/backend/backend/blocks/github/reviews.py b/autogpt_platform/backend/backend/blocks/github/reviews.py
new file mode 100644
index 000000000000..2b909da8ffd1
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/github/reviews.py
@@ -0,0 +1,840 @@
+import logging
+from enum import Enum
+from typing import Any, List, Optional
+
+from typing_extensions import TypedDict
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+from ._api import get_api
+from ._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    GithubCredentials,
+    GithubCredentialsField,
+    GithubCredentialsInput,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class ReviewEvent(Enum):
+    COMMENT = "COMMENT"
+    APPROVE = "APPROVE"
+    REQUEST_CHANGES = "REQUEST_CHANGES"
+
+
+class GithubCreatePRReviewBlock(Block):
+    class Input(BlockSchema):
+        class ReviewComment(TypedDict, total=False):
+            path: str
+            position: Optional[int]
+            body: str
+            line: Optional[int]  # Will be used as position if position not provided
+
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo: str = SchemaField(
+            description="GitHub repository",
+            placeholder="owner/repo",
+        )
+        pr_number: int = SchemaField(
+            description="Pull request number",
+            placeholder="123",
+        )
+        body: str = SchemaField(
+            description="Body of the review comment",
+            placeholder="Enter your review comment",
+        )
+        event: ReviewEvent = SchemaField(
+            description="The review action to perform",
+            default=ReviewEvent.COMMENT,
+        )
+        create_as_draft: bool = SchemaField(
+            description="Create the review as a draft (pending) or post it immediately",
+            default=False,
+            advanced=False,
+        )
+        comments: Optional[List[ReviewComment]] = SchemaField(
+            description="Optional inline comments to add to specific files/lines. Note: Only path, body, and position are supported. Position is line number in diff from first @@ hunk.",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        review_id: int = SchemaField(description="ID of the created review")
+        state: str = SchemaField(
+            description="State of the review (e.g., PENDING, COMMENTED, APPROVED, CHANGES_REQUESTED)"
+        )
+        html_url: str = SchemaField(description="URL of the created review")
+        error: str = SchemaField(
+            description="Error message if the review creation failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="84754b30-97d2-4c37-a3b8-eb39f268275b",
+            description="This block creates a review on a GitHub pull request with optional inline comments. You can create it as a draft or post immediately. Note: For inline comments, 'position' should be the line number in the diff (starting from the first @@ hunk header).",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubCreatePRReviewBlock.Input,
+            output_schema=GithubCreatePRReviewBlock.Output,
+            test_input={
+                "repo": "owner/repo",
+                "pr_number": 1,
+                "body": "This looks good to me!",
+                "event": "APPROVE",
+                "create_as_draft": False,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("review_id", 123456),
+                ("state", "APPROVED"),
+                (
+                    "html_url",
+                    "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                ),
+            ],
+            test_mock={
+                "create_review": lambda *args, **kwargs: (
+                    123456,
+                    "APPROVED",
+                    "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                )
+            },
+        )
+
+    @staticmethod
+    async def create_review(
+        credentials: GithubCredentials,
+        repo: str,
+        pr_number: int,
+        body: str,
+        event: ReviewEvent,
+        create_as_draft: bool,
+        comments: Optional[List[Input.ReviewComment]] = None,
+    ) -> tuple[int, str, str]:
+        api = get_api(credentials, convert_urls=False)
+
+        # GitHub API endpoint for creating reviews
+        reviews_url = f"https://api.github.com/repos/{repo}/pulls/{pr_number}/reviews"
+
+        # Get commit_id if we have comments
+        commit_id = None
+        if comments:
+            # Get PR details to get the head commit for inline comments
+            pr_url = f"https://api.github.com/repos/{repo}/pulls/{pr_number}"
+            pr_response = await api.get(pr_url)
+            pr_data = pr_response.json()
+            commit_id = pr_data["head"]["sha"]
+
+        # Prepare the request data
+        # If create_as_draft is True, omit the event field (creates a PENDING review)
+        # Otherwise, use the actual event value which will auto-submit the review
+        data: dict[str, Any] = {"body": body}
+
+        # Add commit_id if we have it
+        if commit_id:
+            data["commit_id"] = commit_id
+
+        # Add comments if provided
+        if comments:
+            # Process comments to ensure they have the required fields
+            processed_comments = []
+            for comment in comments:
+                comment_data: dict = {
+                    "path": comment.get("path", ""),
+                    "body": comment.get("body", ""),
+                }
+                # Add position or line
+                # Note: For review comments, only position is supported (not line/side)
+                if "position" in comment and comment.get("position") is not None:
+                    comment_data["position"] = comment.get("position")
+                elif "line" in comment and comment.get("line") is not None:
+                    # Note: Using line as position - may not work correctly
+                    # Position should be calculated from the diff
+                    comment_data["position"] = comment.get("line")
+
+                # Note: side, start_line, and start_side are NOT supported for review comments
+                # They are only for standalone PR comments
+
+                processed_comments.append(comment_data)
+
+            data["comments"] = processed_comments
+
+        if not create_as_draft:
+            # Only add event field if not creating a draft
+            data["event"] = event.value
+
+        # Create the review
+        response = await api.post(reviews_url, json=data)
+        review_data = response.json()
+
+        return review_data["id"], review_data["state"], review_data["html_url"]
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            review_id, state, html_url = await self.create_review(
+                credentials,
+                input_data.repo,
+                input_data.pr_number,
+                input_data.body,
+                input_data.event,
+                input_data.create_as_draft,
+                input_data.comments,
+            )
+            yield "review_id", review_id
+            yield "state", state
+            yield "html_url", html_url
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubListPRReviewsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo: str = SchemaField(
+            description="GitHub repository",
+            placeholder="owner/repo",
+        )
+        pr_number: int = SchemaField(
+            description="Pull request number",
+            placeholder="123",
+        )
+
+    class Output(BlockSchema):
+        class ReviewItem(TypedDict):
+            id: int
+            user: str
+            state: str
+            body: str
+            html_url: str
+
+        review: ReviewItem = SchemaField(
+            title="Review",
+            description="Individual review with details",
+        )
+        reviews: list[ReviewItem] = SchemaField(
+            description="List of all reviews on the pull request"
+        )
+        error: str = SchemaField(description="Error message if listing reviews failed")
+
+    def __init__(self):
+        super().__init__(
+            id="f79bc6eb-33c0-4099-9c0f-d664ae1ba4d0",
+            description="This block lists all reviews for a specified GitHub pull request.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubListPRReviewsBlock.Input,
+            output_schema=GithubListPRReviewsBlock.Output,
+            test_input={
+                "repo": "owner/repo",
+                "pr_number": 1,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "reviews",
+                    [
+                        {
+                            "id": 123456,
+                            "user": "reviewer1",
+                            "state": "APPROVED",
+                            "body": "Looks good!",
+                            "html_url": "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                        }
+                    ],
+                ),
+                (
+                    "review",
+                    {
+                        "id": 123456,
+                        "user": "reviewer1",
+                        "state": "APPROVED",
+                        "body": "Looks good!",
+                        "html_url": "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                    },
+                ),
+            ],
+            test_mock={
+                "list_reviews": lambda *args, **kwargs: [
+                    {
+                        "id": 123456,
+                        "user": "reviewer1",
+                        "state": "APPROVED",
+                        "body": "Looks good!",
+                        "html_url": "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    async def list_reviews(
+        credentials: GithubCredentials, repo: str, pr_number: int
+    ) -> list[Output.ReviewItem]:
+        api = get_api(credentials, convert_urls=False)
+
+        # GitHub API endpoint for listing reviews
+        reviews_url = f"https://api.github.com/repos/{repo}/pulls/{pr_number}/reviews"
+
+        response = await api.get(reviews_url)
+        data = response.json()
+
+        reviews: list[GithubListPRReviewsBlock.Output.ReviewItem] = [
+            {
+                "id": review["id"],
+                "user": review["user"]["login"],
+                "state": review["state"],
+                "body": review.get("body", ""),
+                "html_url": review["html_url"],
+            }
+            for review in data
+        ]
+        return reviews
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        reviews = await self.list_reviews(
+            credentials,
+            input_data.repo,
+            input_data.pr_number,
+        )
+        yield "reviews", reviews
+        for review in reviews:
+            yield "review", review
+
+
+class GithubSubmitPendingReviewBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo: str = SchemaField(
+            description="GitHub repository",
+            placeholder="owner/repo",
+        )
+        pr_number: int = SchemaField(
+            description="Pull request number",
+            placeholder="123",
+        )
+        review_id: int = SchemaField(
+            description="ID of the pending review to submit",
+            placeholder="123456",
+        )
+        event: ReviewEvent = SchemaField(
+            description="The review action to perform when submitting",
+            default=ReviewEvent.COMMENT,
+        )
+
+    class Output(BlockSchema):
+        state: str = SchemaField(description="State of the submitted review")
+        html_url: str = SchemaField(description="URL of the submitted review")
+        error: str = SchemaField(
+            description="Error message if the review submission failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="2e468217-7ca0-4201-9553-36e93eb9357a",
+            description="This block submits a pending (draft) review on a GitHub pull request.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubSubmitPendingReviewBlock.Input,
+            output_schema=GithubSubmitPendingReviewBlock.Output,
+            test_input={
+                "repo": "owner/repo",
+                "pr_number": 1,
+                "review_id": 123456,
+                "event": "APPROVE",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("state", "APPROVED"),
+                (
+                    "html_url",
+                    "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                ),
+            ],
+            test_mock={
+                "submit_review": lambda *args, **kwargs: (
+                    "APPROVED",
+                    "https://github.com/owner/repo/pull/1#pullrequestreview-123456",
+                )
+            },
+        )
+
+    @staticmethod
+    async def submit_review(
+        credentials: GithubCredentials,
+        repo: str,
+        pr_number: int,
+        review_id: int,
+        event: ReviewEvent,
+    ) -> tuple[str, str]:
+        api = get_api(credentials, convert_urls=False)
+
+        # GitHub API endpoint for submitting a review
+        submit_url = f"https://api.github.com/repos/{repo}/pulls/{pr_number}/reviews/{review_id}/events"
+
+        data = {"event": event.value}
+
+        response = await api.post(submit_url, json=data)
+        review_data = response.json()
+
+        return review_data["state"], review_data["html_url"]
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            state, html_url = await self.submit_review(
+                credentials,
+                input_data.repo,
+                input_data.pr_number,
+                input_data.review_id,
+                input_data.event,
+            )
+            yield "state", state
+            yield "html_url", html_url
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubResolveReviewDiscussionBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo: str = SchemaField(
+            description="GitHub repository",
+            placeholder="owner/repo",
+        )
+        pr_number: int = SchemaField(
+            description="Pull request number",
+            placeholder="123",
+        )
+        comment_id: int = SchemaField(
+            description="ID of the review comment to resolve/unresolve",
+            placeholder="123456",
+        )
+        resolve: bool = SchemaField(
+            description="Whether to resolve (true) or unresolve (false) the discussion",
+            default=True,
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the operation was successful")
+        error: str = SchemaField(description="Error message if the operation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="b4b8a38c-95ae-4c91-9ef8-c2cffaf2b5d1",
+            description="This block resolves or unresolves a review discussion thread on a GitHub pull request.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubResolveReviewDiscussionBlock.Input,
+            output_schema=GithubResolveReviewDiscussionBlock.Output,
+            test_input={
+                "repo": "owner/repo",
+                "pr_number": 1,
+                "comment_id": 123456,
+                "resolve": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"resolve_discussion": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    async def resolve_discussion(
+        credentials: GithubCredentials,
+        repo: str,
+        pr_number: int,
+        comment_id: int,
+        resolve: bool,
+    ) -> bool:
+        api = get_api(credentials, convert_urls=False)
+
+        # Extract owner and repo name
+        parts = repo.split("/")
+        owner = parts[0]
+        repo_name = parts[1]
+
+        # GitHub GraphQL API is needed for resolving/unresolving discussions
+        # First, we need to get the node ID of the comment
+        graphql_url = "https://api.github.com/graphql"
+
+        # Query to get the review comment node ID
+        query = """
+        query($owner: String!, $repo: String!, $number: Int!) {
+          repository(owner: $owner, name: $repo) {
+            pullRequest(number: $number) {
+              reviewThreads(first: 100) {
+                nodes {
+                  comments(first: 100) {
+                    nodes {
+                      databaseId
+                      id
+                    }
+                  }
+                  id
+                  isResolved
+                }
+              }
+            }
+          }
+        }
+        """
+
+        variables = {"owner": owner, "repo": repo_name, "number": pr_number}
+
+        response = await api.post(
+            graphql_url, json={"query": query, "variables": variables}
+        )
+        data = response.json()
+
+        # Find the thread containing our comment
+        thread_id = None
+        for thread in data["data"]["repository"]["pullRequest"]["reviewThreads"][
+            "nodes"
+        ]:
+            for comment in thread["comments"]["nodes"]:
+                if comment["databaseId"] == comment_id:
+                    thread_id = thread["id"]
+                    break
+            if thread_id:
+                break
+
+        if not thread_id:
+            raise ValueError(f"Comment {comment_id} not found in pull request")
+
+        # Now resolve or unresolve the thread
+        # GitHub's GraphQL API has separate mutations for resolve and unresolve
+        if resolve:
+            mutation = """
+            mutation($threadId: ID!) {
+              resolveReviewThread(input: {threadId: $threadId}) {
+                thread {
+                  isResolved
+                }
+              }
+            }
+            """
+        else:
+            mutation = """
+            mutation($threadId: ID!) {
+              unresolveReviewThread(input: {threadId: $threadId}) {
+                thread {
+                  isResolved
+                }
+              }
+            }
+            """
+
+        mutation_variables = {"threadId": thread_id}
+
+        response = await api.post(
+            graphql_url, json={"query": mutation, "variables": mutation_variables}
+        )
+        result = response.json()
+
+        if "errors" in result:
+            raise Exception(f"GraphQL error: {result['errors']}")
+
+        return True
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = await self.resolve_discussion(
+                credentials,
+                input_data.repo,
+                input_data.pr_number,
+                input_data.comment_id,
+                input_data.resolve,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "success", False
+            yield "error", str(e)
+
+
+class GithubGetPRReviewCommentsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GithubCredentialsInput = GithubCredentialsField("repo")
+        repo: str = SchemaField(
+            description="GitHub repository",
+            placeholder="owner/repo",
+        )
+        pr_number: int = SchemaField(
+            description="Pull request number",
+            placeholder="123",
+        )
+        review_id: Optional[int] = SchemaField(
+            description="ID of a specific review to get comments from (optional)",
+            placeholder="123456",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        class CommentItem(TypedDict):
+            id: int
+            user: str
+            body: str
+            path: str
+            line: int
+            side: str
+            created_at: str
+            updated_at: str
+            in_reply_to_id: Optional[int]
+            html_url: str
+
+        comment: CommentItem = SchemaField(
+            title="Comment",
+            description="Individual review comment with details",
+        )
+        comments: list[CommentItem] = SchemaField(
+            description="List of all review comments on the pull request"
+        )
+        error: str = SchemaField(description="Error message if getting comments failed")
+
+    def __init__(self):
+        super().__init__(
+            id="1d34db7f-10c1-45c1-9d43-749f743c8bd4",
+            description="This block gets all review comments from a GitHub pull request or from a specific review.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubGetPRReviewCommentsBlock.Input,
+            output_schema=GithubGetPRReviewCommentsBlock.Output,
+            test_input={
+                "repo": "owner/repo",
+                "pr_number": 1,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "comments",
+                    [
+                        {
+                            "id": 123456,
+                            "user": "reviewer1",
+                            "body": "This needs improvement",
+                            "path": "src/main.py",
+                            "line": 42,
+                            "side": "RIGHT",
+                            "created_at": "2024-01-01T00:00:00Z",
+                            "updated_at": "2024-01-01T00:00:00Z",
+                            "in_reply_to_id": None,
+                            "html_url": "https://github.com/owner/repo/pull/1#discussion_r123456",
+                        }
+                    ],
+                ),
+                (
+                    "comment",
+                    {
+                        "id": 123456,
+                        "user": "reviewer1",
+                        "body": "This needs improvement",
+                        "path": "src/main.py",
+                        "line": 42,
+                        "side": "RIGHT",
+                        "created_at": "2024-01-01T00:00:00Z",
+                        "updated_at": "2024-01-01T00:00:00Z",
+                        "in_reply_to_id": None,
+                        "html_url": "https://github.com/owner/repo/pull/1#discussion_r123456",
+                    },
+                ),
+            ],
+            test_mock={
+                "get_comments": lambda *args, **kwargs: [
+                    {
+                        "id": 123456,
+                        "user": "reviewer1",
+                        "body": "This needs improvement",
+                        "path": "src/main.py",
+                        "line": 42,
+                        "side": "RIGHT",
+                        "created_at": "2024-01-01T00:00:00Z",
+                        "updated_at": "2024-01-01T00:00:00Z",
+                        "in_reply_to_id": None,
+                        "html_url": "https://github.com/owner/repo/pull/1#discussion_r123456",
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    async def get_comments(
+        credentials: GithubCredentials,
+        repo: str,
+        pr_number: int,
+        review_id: Optional[int] = None,
+    ) -> list[Output.CommentItem]:
+        api = get_api(credentials, convert_urls=False)
+
+        # Determine the endpoint based on whether we want comments from a specific review
+        if review_id:
+            # Get comments from a specific review
+            comments_url = f"https://api.github.com/repos/{repo}/pulls/{pr_number}/reviews/{review_id}/comments"
+        else:
+            # Get all review comments on the PR
+            comments_url = (
+                f"https://api.github.com/repos/{repo}/pulls/{pr_number}/comments"
+            )
+
+        response = await api.get(comments_url)
+        data = response.json()
+
+        comments: list[GithubGetPRReviewCommentsBlock.Output.CommentItem] = [
+            {
+                "id": comment["id"],
+                "user": comment["user"]["login"],
+                "body": comment["body"],
+                "path": comment.get("path", ""),
+                "line": comment.get("line", 0),
+                "side": comment.get("side", ""),
+                "created_at": comment["created_at"],
+                "updated_at": comment["updated_at"],
+                "in_reply_to_id": comment.get("in_reply_to_id"),
+                "html_url": comment["html_url"],
+            }
+            for comment in data
+        ]
+        return comments
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            comments = await self.get_comments(
+                credentials,
+                input_data.repo,
+                input_data.pr_number,
+                input_data.review_id,
+            )
+            yield "comments", comments
+            for comment in comments:
+                yield "comment", comment
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GithubCreateCommentObjectBlock(Block):
+    class Input(BlockSchema):
+        path: str = SchemaField(
+            description="The file path to comment on",
+            placeholder="src/main.py",
+        )
+        body: str = SchemaField(
+            description="The comment text",
+            placeholder="Please fix this issue",
+        )
+        position: Optional[int] = SchemaField(
+            description="Position in the diff (line number from first @@ hunk). Use this OR line.",
+            placeholder="6",
+            default=None,
+            advanced=True,
+        )
+        line: Optional[int] = SchemaField(
+            description="Line number in the file (will be used as position if position not provided)",
+            placeholder="42",
+            default=None,
+            advanced=True,
+        )
+        side: Optional[str] = SchemaField(
+            description="Side of the diff to comment on (NOTE: Only for standalone comments, not review comments)",
+            default="RIGHT",
+            advanced=True,
+        )
+        start_line: Optional[int] = SchemaField(
+            description="Start line for multi-line comments (NOTE: Only for standalone comments, not review comments)",
+            default=None,
+            advanced=True,
+        )
+        start_side: Optional[str] = SchemaField(
+            description="Side for the start of multi-line comments (NOTE: Only for standalone comments, not review comments)",
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        comment_object: dict = SchemaField(
+            description="The comment object formatted for GitHub API"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="b7d5e4f2-8c3a-4e6b-9f1d-7a8b9c5e4d3f",
+            description="Creates a comment object for use with GitHub blocks. Note: For review comments, only path, body, and position are used. Side fields are only for standalone PR comments.",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubCreateCommentObjectBlock.Input,
+            output_schema=GithubCreateCommentObjectBlock.Output,
+            test_input={
+                "path": "src/main.py",
+                "body": "Please fix this issue",
+                "position": 6,
+            },
+            test_output=[
+                (
+                    "comment_object",
+                    {
+                        "path": "src/main.py",
+                        "body": "Please fix this issue",
+                        "position": 6,
+                    },
+                ),
+            ],
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        **kwargs,
+    ) -> BlockOutput:
+        # Build the comment object
+        comment_obj: dict = {
+            "path": input_data.path,
+            "body": input_data.body,
+        }
+
+        # Add position or line
+        if input_data.position is not None:
+            comment_obj["position"] = input_data.position
+        elif input_data.line is not None:
+            # Note: line will be used as position, which may not be accurate
+            # Position should be calculated from the diff
+            comment_obj["position"] = input_data.line
+
+        # Add optional fields only if they differ from defaults or are explicitly provided
+        if input_data.side and input_data.side != "RIGHT":
+            comment_obj["side"] = input_data.side
+        if input_data.start_line is not None:
+            comment_obj["start_line"] = input_data.start_line
+        if input_data.start_side:
+            comment_obj["start_side"] = input_data.start_side
+
+        yield "comment_object", comment_obj
diff --git a/autogpt_platform/backend/backend/blocks/github/statuses.py b/autogpt_platform/backend/backend/blocks/github/statuses.py
new file mode 100644
index 000000000000..a7e2b006aaa2
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/github/statuses.py
@@ -0,0 +1,182 @@
+from enum import Enum
+from typing import Optional
+
+from pydantic import BaseModel
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+from ._api import get_api
+from ._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    GithubFineGrainedAPICredentials,
+    GithubFineGrainedAPICredentialsField,
+    GithubFineGrainedAPICredentialsInput,
+)
+
+
+class StatusState(Enum):
+    ERROR = "error"
+    FAILURE = "failure"
+    PENDING = "pending"
+    SUCCESS = "success"
+
+
+class GithubCreateStatusBlock(Block):
+    """Block for creating a commit status on a GitHub repository."""
+
+    class Input(BlockSchema):
+        credentials: GithubFineGrainedAPICredentialsInput = (
+            GithubFineGrainedAPICredentialsField("repo:status")
+        )
+        repo_url: str = SchemaField(
+            description="URL of the GitHub repository",
+            placeholder="https://github.com/owner/repo",
+        )
+        sha: str = SchemaField(
+            description="The SHA of the commit to set status for",
+        )
+        state: StatusState = SchemaField(
+            description="The state of the status (error, failure, pending, success)",
+        )
+        target_url: Optional[str] = SchemaField(
+            description="URL with additional details about this status",
+            default=None,
+        )
+        description: Optional[str] = SchemaField(
+            description="Short description of the status",
+            default=None,
+        )
+        check_name: Optional[str] = SchemaField(
+            description="Label to differentiate this status from others",
+            default="AutoGPT Platform Checks",
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        class StatusResult(BaseModel):
+            id: int
+            url: str
+            state: str
+            context: str
+            description: Optional[str]
+            target_url: Optional[str]
+            created_at: str
+            updated_at: str
+
+        status: StatusResult = SchemaField(description="Details of the created status")
+        error: str = SchemaField(description="Error message if status creation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="3d67f123-a4b5-4c89-9d01-2e34f5c67890",  # Generated UUID
+            description="Creates a new commit status in a GitHub repository",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=GithubCreateStatusBlock.Input,
+            output_schema=GithubCreateStatusBlock.Output,
+            test_input={
+                "repo_url": "https://github.com/owner/repo",
+                "sha": "ce587453ced02b1526dfb4cb910479d431683101",
+                "state": StatusState.SUCCESS.value,
+                "target_url": "https://example.com/build/status",
+                "description": "The build succeeded!",
+                "check_name": "continuous-integration/jenkins",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "status",
+                    {
+                        "id": 1234567890,
+                        "url": "https://api.github.com/repos/owner/repo/statuses/ce587453ced02b1526dfb4cb910479d431683101",
+                        "state": "success",
+                        "context": "continuous-integration/jenkins",
+                        "description": "The build succeeded!",
+                        "target_url": "https://example.com/build/status",
+                        "created_at": "2024-01-21T10:00:00Z",
+                        "updated_at": "2024-01-21T10:00:00Z",
+                    },
+                ),
+            ],
+            test_mock={
+                "create_status": lambda *args, **kwargs: {
+                    "id": 1234567890,
+                    "url": "https://api.github.com/repos/owner/repo/statuses/ce587453ced02b1526dfb4cb910479d431683101",
+                    "state": "success",
+                    "context": "continuous-integration/jenkins",
+                    "description": "The build succeeded!",
+                    "target_url": "https://example.com/build/status",
+                    "created_at": "2024-01-21T10:00:00Z",
+                    "updated_at": "2024-01-21T10:00:00Z",
+                }
+            },
+        )
+
+    @staticmethod
+    async def create_status(
+        credentials: GithubFineGrainedAPICredentials,
+        repo_url: str,
+        sha: str,
+        state: StatusState,
+        target_url: Optional[str] = None,
+        description: Optional[str] = None,
+        context: str = "default",
+    ) -> dict:
+        api = get_api(credentials)
+
+        class StatusData(BaseModel):
+            state: str
+            target_url: Optional[str] = None
+            description: Optional[str] = None
+            context: str
+
+        data = StatusData(
+            state=state.value,
+            context=context,
+        )
+
+        if target_url:
+            data.target_url = target_url
+
+        if description:
+            data.description = description
+
+        status_url = f"{repo_url}/statuses/{sha}"
+        response = await api.post(
+            status_url, data=data.model_dump_json(exclude_none=True)
+        )
+        result = response.json()
+
+        return {
+            "id": result["id"],
+            "url": result["url"],
+            "state": result["state"],
+            "context": result["context"],
+            "description": result.get("description"),
+            "target_url": result.get("target_url"),
+            "created_at": result["created_at"],
+            "updated_at": result["updated_at"],
+        }
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GithubFineGrainedAPICredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            result = await self.create_status(
+                credentials=credentials,
+                repo_url=input_data.repo_url,
+                sha=input_data.sha,
+                state=input_data.state,
+                target_url=input_data.target_url,
+                description=input_data.description,
+                context=input_data.check_name or "AutoGPT Platform Checks",
+            )
+            yield "status", result
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/github/triggers.py b/autogpt_platform/backend/backend/blocks/github/triggers.py
index 938dce84faea..83b1689b8946 100644
--- a/autogpt_platform/backend/backend/blocks/github/triggers.py
+++ b/autogpt_platform/backend/backend/blocks/github/triggers.py
@@ -12,6 +12,7 @@
     BlockWebhookConfig,
 )
 from backend.data.model import SchemaField
+from backend.integrations.providers import ProviderName
 
 from ._auth import (
     TEST_CREDENTIALS,
@@ -36,7 +37,7 @@ class Input(BlockSchema):
             placeholder="{owner}/{repo}",
         )
         # --8<-- [start:example-payload-field]
-        payload: dict = SchemaField(hidden=True, default={})
+        payload: dict = SchemaField(hidden=True, default_factory=dict)
         # --8<-- [end:example-payload-field]
 
     class Output(BlockSchema):
@@ -52,7 +53,7 @@ class Output(BlockSchema):
             description="Error message if the payload could not be processed"
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         yield "payload", input_data.payload
         yield "triggered_by_user", input_data.payload["sender"]
 
@@ -123,7 +124,7 @@ def __init__(self):
             output_schema=GithubPullRequestTriggerBlock.Output,
             # --8<-- [start:example-webhook_config]
             webhook_config=BlockWebhookConfig(
-                provider="github",
+                provider=ProviderName.GITHUB,
                 webhook_type=GithubWebhookType.REPO,
                 resource_format="{repo}",
                 event_filter_input="events",
@@ -147,8 +148,9 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:  # type: ignore
-        yield from super().run(input_data, **kwargs)
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:  # type: ignore
+        async for name, value in super().run(input_data, **kwargs):
+            yield name, value
         yield "event", input_data.payload["action"]
         yield "number", input_data.payload["number"]
         yield "pull_request", input_data.payload["pull_request"]
diff --git a/autogpt_platform/backend/backend/blocks/google/calendar.py b/autogpt_platform/backend/backend/blocks/google/calendar.py
new file mode 100644
index 000000000000..339daab43056
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/google/calendar.py
@@ -0,0 +1,599 @@
+import asyncio
+import enum
+import uuid
+from datetime import datetime, timedelta, timezone
+from typing import Literal
+
+from google.oauth2.credentials import Credentials
+from googleapiclient.discovery import build
+from pydantic import BaseModel
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.settings import Settings
+
+from ._auth import (
+    GOOGLE_OAUTH_IS_CONFIGURED,
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    GoogleCredentials,
+    GoogleCredentialsField,
+    GoogleCredentialsInput,
+)
+
+settings = Settings()
+
+
+class CalendarEvent(BaseModel):
+    """Structured representation of a Google Calendar event."""
+
+    id: str
+    title: str
+    start_time: str
+    end_time: str
+    is_all_day: bool
+    location: str | None
+    description: str | None
+    organizer: str | None
+    attendees: list[str]
+    has_video_call: bool
+    video_link: str | None
+    calendar_link: str
+    is_recurring: bool
+
+
+class GoogleCalendarReadEventsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/calendar.readonly"]
+        )
+        calendar_id: str = SchemaField(
+            description="Calendar ID (use 'primary' for your main calendar)",
+            default="primary",
+        )
+        max_events: int = SchemaField(
+            description="Maximum number of events to retrieve", default=10
+        )
+        start_time: datetime = SchemaField(
+            description="Retrieve events starting from this time",
+            default_factory=lambda: datetime.now(tz=timezone.utc),
+        )
+        time_range_days: int = SchemaField(
+            description="Number of days to look ahead for events", default=30
+        )
+        search_term: str | None = SchemaField(
+            description="Optional search term to filter events by", default=None
+        )
+
+        page_token: str | None = SchemaField(
+            description="Page token from previous request to get the next batch of events. You can use this if you have lots of events you want to process in a loop",
+            default=None,
+        )
+        include_declined_events: bool = SchemaField(
+            description="Include events you've declined", default=False
+        )
+
+    class Output(BlockSchema):
+        events: list[CalendarEvent] = SchemaField(
+            description="List of calendar events in the requested time range",
+            default_factory=list,
+        )
+        event: CalendarEvent = SchemaField(
+            description="One of the calendar events in the requested time range"
+        )
+        next_page_token: str | None = SchemaField(
+            description="Token for retrieving the next page of events if more exist",
+            default=None,
+        )
+        error: str = SchemaField(
+            description="Error message if the request failed",
+        )
+
+    def __init__(self):
+        # Create realistic test data for events
+        test_now = datetime.now(tz=timezone.utc)
+        test_tomorrow = test_now + timedelta(days=1)
+
+        test_event_dict = {
+            "id": "event1id",
+            "title": "Team Meeting",
+            "start_time": test_tomorrow.strftime("%Y-%m-%d %H:%M"),
+            "end_time": (test_tomorrow + timedelta(hours=1)).strftime("%Y-%m-%d %H:%M"),
+            "is_all_day": False,
+            "location": "Conference Room A",
+            "description": "Weekly team sync",
+            "organizer": "manager@example.com",
+            "attendees": ["colleague1@example.com", "colleague2@example.com"],
+            "has_video_call": True,
+            "video_link": "https://meet.google.com/abc-defg-hij",
+            "calendar_link": "https://calendar.google.com/calendar/event?eid=event1id",
+            "is_recurring": True,
+        }
+
+        super().__init__(
+            id="80bc3ed1-e9a4-449e-8163-a8fc86f74f6a",
+            description="Retrieves upcoming events from a Google Calendar with filtering options",
+            categories={BlockCategory.PRODUCTIVITY, BlockCategory.DATA},
+            input_schema=GoogleCalendarReadEventsBlock.Input,
+            output_schema=GoogleCalendarReadEventsBlock.Output,
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "calendar_id": "primary",
+                "max_events": 5,
+                "start_time": test_now.isoformat(),
+                "time_range_days": 7,
+                "search_term": None,
+                "include_declined_events": False,
+                "page_token": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("event", test_event_dict),
+                ("events", [test_event_dict]),
+            ],
+            test_mock={
+                "_read_calendar": lambda *args, **kwargs: {
+                    "items": [
+                        {
+                            "id": "event1id",
+                            "summary": "Team Meeting",
+                            "start": {
+                                "dateTime": test_tomorrow.isoformat(),
+                                "timeZone": "UTC",
+                            },
+                            "end": {
+                                "dateTime": (
+                                    test_tomorrow + timedelta(hours=1)
+                                ).isoformat(),
+                                "timeZone": "UTC",
+                            },
+                            "location": "Conference Room A",
+                            "description": "Weekly team sync",
+                            "organizer": {"email": "manager@example.com"},
+                            "attendees": [
+                                {"email": "colleague1@example.com"},
+                                {"email": "colleague2@example.com"},
+                            ],
+                            "conferenceData": {
+                                "conferenceUrl": "https://meet.google.com/abc-defg-hij"
+                            },
+                            "htmlLink": "https://calendar.google.com/calendar/event?eid=event1id",
+                            "recurrence": ["RRULE:FREQ=WEEKLY;COUNT=10"],
+                        }
+                    ],
+                    "nextPageToken": None,
+                },
+                "_format_events": lambda *args, **kwargs: [test_event_dict],
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            service = self._build_service(credentials, **kwargs)
+
+            # Calculate end time based on start time and time range
+            end_time = input_data.start_time + timedelta(
+                days=input_data.time_range_days
+            )
+
+            # Call Google Calendar API
+            result = await asyncio.to_thread(
+                self._read_calendar,
+                service=service,
+                calendarId=input_data.calendar_id,
+                time_min=input_data.start_time.isoformat(),
+                time_max=end_time.isoformat(),
+                max_results=input_data.max_events,
+                single_events=True,
+                search_term=input_data.search_term,
+                show_deleted=False,
+                show_hidden=input_data.include_declined_events,
+                page_token=input_data.page_token,
+            )
+
+            # Format events into a user-friendly structure
+            formatted_events = self._format_events(result.get("items", []))
+
+            # Include next page token if available
+            if next_page_token := result.get("nextPageToken"):
+                yield "next_page_token", next_page_token
+
+            for event in formatted_events:
+                yield "event", event
+
+            yield "events", formatted_events
+
+        except Exception as e:
+            yield "error", str(e)
+
+    @staticmethod
+    def _build_service(credentials: GoogleCredentials, **kwargs):
+        creds = Credentials(
+            token=(
+                credentials.access_token.get_secret_value()
+                if credentials.access_token
+                else None
+            ),
+            refresh_token=(
+                credentials.refresh_token.get_secret_value()
+                if credentials.refresh_token
+                else None
+            ),
+            token_uri="https://oauth2.googleapis.com/token",
+            client_id=settings.secrets.google_client_id,
+            client_secret=settings.secrets.google_client_secret,
+            scopes=credentials.scopes,
+        )
+        return build("calendar", "v3", credentials=creds)
+
+    def _read_calendar(
+        self,
+        service,
+        calendarId: str,
+        time_min: str,
+        time_max: str,
+        max_results: int,
+        single_events: bool,
+        search_term: str | None = None,
+        show_deleted: bool = False,
+        show_hidden: bool = False,
+        page_token: str | None = None,
+    ) -> dict:
+        """Read calendar events with optional filtering."""
+        calendar = service.events()
+
+        # Build query parameters
+        params = {
+            "calendarId": calendarId,
+            "timeMin": time_min,
+            "timeMax": time_max,
+            "maxResults": max_results,
+            "singleEvents": single_events,
+            "orderBy": "startTime",
+            "showDeleted": show_deleted,
+            "showHiddenInvitations": show_hidden,
+            **({"pageToken": page_token} if page_token else {}),
+        }
+
+        # Add search term if provided
+        if search_term:
+            params["q"] = search_term
+
+        result = calendar.list(**params).execute()
+        return result
+
+    def _format_events(self, events: list[dict]) -> list[CalendarEvent]:
+        """Format Google Calendar API events into user-friendly structure."""
+        formatted_events = []
+
+        for event in events:
+            # Determine if all-day event
+            is_all_day = "date" in event.get("start", {})
+
+            # Format start and end times
+            if is_all_day:
+                start_time = event.get("start", {}).get("date", "")
+                end_time = event.get("end", {}).get("date", "")
+            else:
+                # Convert ISO format to more readable format
+                start_datetime = datetime.fromisoformat(
+                    event.get("start", {}).get("dateTime", "").replace("Z", "+00:00")
+                )
+                end_datetime = datetime.fromisoformat(
+                    event.get("end", {}).get("dateTime", "").replace("Z", "+00:00")
+                )
+                start_time = start_datetime.strftime("%Y-%m-%d %H:%M")
+                end_time = end_datetime.strftime("%Y-%m-%d %H:%M")
+
+            # Extract attendees
+            attendees = []
+            for attendee in event.get("attendees", []):
+                if email := attendee.get("email"):
+                    attendees.append(email)
+
+            # Check for video call link
+            has_video_call = False
+            video_link = None
+            if conf_data := event.get("conferenceData"):
+                if conf_url := conf_data.get("conferenceUrl"):
+                    has_video_call = True
+                    video_link = conf_url
+                elif entry_points := conf_data.get("entryPoints", []):
+                    for entry in entry_points:
+                        if entry.get("entryPointType") == "video":
+                            has_video_call = True
+                            video_link = entry.get("uri")
+                            break
+
+            # Create formatted event
+            formatted_event = CalendarEvent(
+                id=event.get("id", ""),
+                title=event.get("summary", "Untitled Event"),
+                start_time=start_time,
+                end_time=end_time,
+                is_all_day=is_all_day,
+                location=event.get("location"),
+                description=event.get("description"),
+                organizer=event.get("organizer", {}).get("email"),
+                attendees=attendees,
+                has_video_call=has_video_call,
+                video_link=video_link,
+                calendar_link=event.get("htmlLink", ""),
+                is_recurring=bool(event.get("recurrence")),
+            )
+
+            formatted_events.append(formatted_event)
+
+        return formatted_events
+
+
+class ReminderPreset(enum.Enum):
+    """Common reminder times before an event."""
+
+    TEN_MINUTES = 10
+    THIRTY_MINUTES = 30
+    ONE_HOUR = 60
+    ONE_DAY = 1440  # 24 hours in minutes
+
+
+class RecurrenceFrequency(enum.Enum):
+    """Frequency options for recurring events."""
+
+    DAILY = "DAILY"
+    WEEKLY = "WEEKLY"
+    MONTHLY = "MONTHLY"
+    YEARLY = "YEARLY"
+
+
+class ExactTiming(BaseModel):
+    """Model for specifying start and end times."""
+
+    discriminator: Literal["exact_timing"]
+    start_datetime: datetime
+    end_datetime: datetime
+
+
+class DurationTiming(BaseModel):
+    """Model for specifying start time and duration."""
+
+    discriminator: Literal["duration_timing"]
+    start_datetime: datetime
+    duration_minutes: int
+
+
+class OneTimeEvent(BaseModel):
+    """Model for a one-time event."""
+
+    discriminator: Literal["one_time"]
+
+
+class RecurringEvent(BaseModel):
+    """Model for a recurring event."""
+
+    discriminator: Literal["recurring"]
+    frequency: RecurrenceFrequency
+    count: int
+
+
+class GoogleCalendarCreateEventBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/calendar"]
+        )
+        # Event Details
+        event_title: str = SchemaField(description="Title of the event")
+        location: str | None = SchemaField(
+            description="Location of the event", default=None
+        )
+        description: str | None = SchemaField(
+            description="Description of the event", default=None
+        )
+
+        # Timing
+        timing: ExactTiming | DurationTiming = SchemaField(
+            discriminator="discriminator",
+            advanced=False,
+            description="Specify when the event starts and ends",
+            default_factory=lambda: DurationTiming(
+                discriminator="duration_timing",
+                start_datetime=datetime.now().replace(microsecond=0, second=0, minute=0)
+                + timedelta(hours=1),
+                duration_minutes=60,
+            ),
+        )
+
+        # Calendar selection
+        calendar_id: str = SchemaField(
+            description="Calendar ID (use 'primary' for your main calendar)",
+            default="primary",
+        )
+
+        # Guests
+        guest_emails: list[str] = SchemaField(
+            description="Email addresses of guests to invite", default_factory=list
+        )
+        send_notifications: bool = SchemaField(
+            description="Send email notifications to guests", default=True
+        )
+
+        # Extras
+        add_google_meet: bool = SchemaField(
+            description="Include a Google Meet video conference link", default=False
+        )
+        recurrence: OneTimeEvent | RecurringEvent = SchemaField(
+            discriminator="discriminator",
+            description="Whether the event repeats",
+            default_factory=lambda: OneTimeEvent(discriminator="one_time"),
+        )
+        reminder_minutes: list[ReminderPreset] = SchemaField(
+            description="When to send reminders before the event",
+            default_factory=lambda: [ReminderPreset.TEN_MINUTES],
+        )
+
+    class Output(BlockSchema):
+        event_id: str = SchemaField(description="ID of the created event")
+        event_link: str = SchemaField(
+            description="Link to view the event in Google Calendar"
+        )
+        error: str = SchemaField(description="Error message if event creation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ed2ec950-fbff-4204-94c0-023fb1d625e0",
+            description="This block creates a new event in Google Calendar with customizable parameters.",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=GoogleCalendarCreateEventBlock.Input,
+            output_schema=GoogleCalendarCreateEventBlock.Output,
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "event_title": "Team Meeting",
+                "location": "Conference Room A",
+                "description": "Weekly team sync-up",
+                "calendar_id": "primary",
+                "guest_emails": ["colleague1@example.com", "colleague2@example.com"],
+                "add_google_meet": True,
+                "send_notifications": True,
+                "reminder_minutes": [
+                    ReminderPreset.TEN_MINUTES.value,
+                    ReminderPreset.ONE_HOUR.value,
+                ],
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("event_id", "abc123event_id"),
+                ("event_link", "https://calendar.google.com/calendar/event?eid=abc123"),
+            ],
+            test_mock={
+                "_create_event": lambda *args, **kwargs: {
+                    "id": "abc123event_id",
+                    "htmlLink": "https://calendar.google.com/calendar/event?eid=abc123",
+                }
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        try:
+            service = self._build_service(credentials, **kwargs)
+
+            # Create event body
+            # Get start and end times based on the timing option
+            if input_data.timing.discriminator == "exact_timing":
+                start_datetime = input_data.timing.start_datetime
+                end_datetime = input_data.timing.end_datetime
+            else:  # duration_timing
+                start_datetime = input_data.timing.start_datetime
+                end_datetime = start_datetime + timedelta(
+                    minutes=input_data.timing.duration_minutes
+                )
+
+            # Format datetimes for Google Calendar API
+            start_time_str = start_datetime.isoformat()
+            end_time_str = end_datetime.isoformat()
+
+            # Build the event body
+            event_body = {
+                "summary": input_data.event_title,
+                "start": {"dateTime": start_time_str},
+                "end": {"dateTime": end_time_str},
+            }
+
+            # Add optional fields
+            if input_data.location:
+                event_body["location"] = input_data.location
+
+            if input_data.description:
+                event_body["description"] = input_data.description
+
+            # Add guests
+            if input_data.guest_emails:
+                event_body["attendees"] = [
+                    {"email": email} for email in input_data.guest_emails
+                ]
+
+            # Add reminders
+            if input_data.reminder_minutes:
+                event_body["reminders"] = {
+                    "useDefault": False,
+                    "overrides": [
+                        {"method": "popup", "minutes": reminder.value}
+                        for reminder in input_data.reminder_minutes
+                    ],
+                }
+
+            # Add Google Meet
+            if input_data.add_google_meet:
+                event_body["conferenceData"] = {
+                    "createRequest": {
+                        "requestId": f"meet-{uuid.uuid4()}",
+                        "conferenceSolutionKey": {"type": "hangoutsMeet"},
+                    }
+                }
+
+            # Add recurrence
+            if input_data.recurrence.discriminator == "recurring":
+                rule = f"RRULE:FREQ={input_data.recurrence.frequency.value}"
+                rule += f";COUNT={input_data.recurrence.count}"
+                event_body["recurrence"] = [rule]
+
+            # Create the event
+            result = await asyncio.to_thread(
+                self._create_event,
+                service=service,
+                calendar_id=input_data.calendar_id,
+                event_body=event_body,
+                send_notifications=input_data.send_notifications,
+                conference_data_version=1 if input_data.add_google_meet else 0,
+            )
+
+            yield "event_id", result["id"]
+            yield "event_link", result["htmlLink"]
+
+        except Exception as e:
+            yield "error", str(e)
+
+    @staticmethod
+    def _build_service(credentials: GoogleCredentials, **kwargs):
+        creds = Credentials(
+            token=(
+                credentials.access_token.get_secret_value()
+                if credentials.access_token
+                else None
+            ),
+            refresh_token=(
+                credentials.refresh_token.get_secret_value()
+                if credentials.refresh_token
+                else None
+            ),
+            token_uri="https://oauth2.googleapis.com/token",
+            client_id=settings.secrets.google_client_id,
+            client_secret=settings.secrets.google_client_secret,
+            scopes=credentials.scopes,
+        )
+        return build("calendar", "v3", credentials=creds)
+
+    def _create_event(
+        self,
+        service,
+        calendar_id: str,
+        event_body: dict,
+        send_notifications: bool = False,
+        conference_data_version: int = 0,
+    ) -> dict:
+        """Create a new event in Google Calendar."""
+        calendar = service.events()
+
+        # Make the API call
+        result = calendar.insert(
+            calendarId=calendar_id,
+            body=event_body,
+            sendNotifications=send_notifications,
+            conferenceDataVersion=conference_data_version,
+        ).execute()
+
+        return result
diff --git a/autogpt_platform/backend/backend/blocks/google/gmail.py b/autogpt_platform/backend/backend/blocks/google/gmail.py
index d0168e4a82be..1b1fb5eb74b4 100644
--- a/autogpt_platform/backend/backend/blocks/google/gmail.py
+++ b/autogpt_platform/backend/backend/blocks/google/gmail.py
@@ -1,13 +1,23 @@
+import asyncio
 import base64
-from email.utils import parseaddr
-from typing import List
+from abc import ABC
+from email import encoders
+from email.mime.base import MIMEBase
+from email.mime.multipart import MIMEMultipart
+from email.mime.text import MIMEText
+from email.policy import SMTP
+from email.utils import getaddresses, parseaddr
+from pathlib import Path
+from typing import List, Literal, Optional
 
 from google.oauth2.credentials import Credentials
 from googleapiclient.discovery import build
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
+from backend.util.file import MediaFileType, get_exec_file_path, store_media_file
+from backend.util.settings import Settings
 
 from ._auth import (
     GOOGLE_OAUTH_IS_CONFIGURED,
@@ -18,6 +28,107 @@
     GoogleCredentialsInput,
 )
 
+settings = Settings()
+
+# No-wrap policy for plain text emails to prevent 78-char hard-wrap
+NO_WRAP_POLICY = SMTP.clone(max_line_length=0)
+
+
+def serialize_email_recipients(recipients: list[str]) -> str:
+    """Serialize recipients list to comma-separated string."""
+    return ", ".join(recipients)
+
+
+def _make_mime_text(
+    body: str,
+    content_type: Optional[Literal["auto", "plain", "html"]] = None,
+) -> MIMEText:
+    """Create a MIMEText object with proper content type and no hard-wrap for plain text.
+
+    This function addresses the common Gmail issue where plain text emails are
+    hard-wrapped at 78 characters, creating awkward narrow columns in modern
+    email clients. It also ensures HTML emails are properly identified and sent
+    with the correct MIME type.
+
+    Args:
+        body: The email body content (plain text or HTML)
+        content_type: The content type - "auto" (default), "plain", or "html"
+                     - "auto" or None: Auto-detects based on presence of HTML tags
+                     - "plain": Forces plain text format without line wrapping
+                     - "html": Forces HTML format with standard wrapping
+
+    Returns:
+        MIMEText object configured with:
+        - Appropriate content subtype (plain or html)
+        - UTF-8 charset for proper Unicode support
+        - No-wrap policy for plain text (max_line_length=0)
+        - Standard wrapping for HTML content
+
+    Examples:
+        >>> # Plain text email without wrapping
+        >>> mime = _make_mime_text("Long paragraph...", "plain")
+        >>> # HTML email with auto-detection
+        >>> mime = _make_mime_text("<p>Hello</p>", "auto")
+    """
+    # Auto-detect content type if not specified or "auto"
+    if content_type is None or content_type == "auto":
+        # Simple heuristic: check for HTML tags in first 500 chars
+        looks_html = "<" in body[:500] and ">" in body[:500]
+        actual_type = "html" if looks_html else "plain"
+    else:
+        actual_type = content_type
+
+    # Create MIMEText with appropriate settings
+    if actual_type == "html":
+        # HTML content - normal wrapping is OK
+        return MIMEText(body, _subtype="html", _charset="utf-8")
+    else:
+        # Plain text - use no-wrap policy to prevent 78-char hard-wrap
+        return MIMEText(body, _subtype="plain", _charset="utf-8", policy=NO_WRAP_POLICY)
+
+
+async def create_mime_message(
+    input_data,
+    graph_exec_id: str,
+    user_id: str,
+) -> str:
+    """Create a MIME message with attachments and return base64-encoded raw message."""
+
+    message = MIMEMultipart()
+    message["to"] = serialize_email_recipients(input_data.to)
+    message["subject"] = input_data.subject
+
+    if input_data.cc:
+        message["cc"] = ", ".join(input_data.cc)
+    if input_data.bcc:
+        message["bcc"] = ", ".join(input_data.bcc)
+
+    # Use the new helper function with content_type if available
+    content_type = getattr(input_data, "content_type", None)
+    message.attach(_make_mime_text(input_data.body, content_type))
+
+    # Handle attachments if any
+    if input_data.attachments:
+        for attach in input_data.attachments:
+            local_path = await store_media_file(
+                user_id=user_id,
+                graph_exec_id=graph_exec_id,
+                file=attach,
+                return_content=False,
+            )
+            abs_path = get_exec_file_path(graph_exec_id, local_path)
+            part = MIMEBase("application", "octet-stream")
+            with open(abs_path, "rb") as f:
+                part.set_payload(f.read())
+            encoders.encode_base64(part)
+            part.add_header(
+                "Content-Disposition",
+                f"attachment; filename={Path(abs_path).name}",
+            )
+            message.attach(part)
+
+    return base64.urlsafe_b64encode(message.as_bytes()).decode("utf-8")
+
 
 class Attachment(BaseModel):
     filename: str
@@ -27,18 +138,188 @@ class Attachment(BaseModel):
 
 
 class Email(BaseModel):
+    threadId: str
+    labelIds: list[str]
     id: str
     subject: str
     snippet: str
     from_: str
-    to: str
+    to: list[str]  # List of recipient email addresses
+    cc: list[str] = Field(default_factory=list)  # CC recipients
+    bcc: list[str] = Field(
+        default_factory=list
+    )  # BCC recipients (rarely available in received emails)
     date: str
     body: str = ""  # Default to an empty string
     sizeEstimate: int
     attachments: List[Attachment]
 
 
-class GmailReadBlock(Block):
+class Thread(BaseModel):
+    id: str
+    messages: list[Email]
+    historyId: str
+
+
+class GmailSendResult(BaseModel):
+    id: str
+    status: str
+
+
+class GmailDraftResult(BaseModel):
+    id: str
+    message_id: str
+    status: str
+
+
+class GmailLabelResult(BaseModel):
+    label_id: str
+    status: str
+
+
+class Profile(BaseModel):
+    emailAddress: str
+    messagesTotal: int
+    threadsTotal: int
+    historyId: str
+
+
+class GmailBase(Block, ABC):
+    """Base class for Gmail blocks with common functionality."""
+
+    def _build_service(self, credentials: GoogleCredentials, **kwargs):
+        creds = Credentials(
+            token=(
+                credentials.access_token.get_secret_value()
+                if credentials.access_token
+                else None
+            ),
+            refresh_token=(
+                credentials.refresh_token.get_secret_value()
+                if credentials.refresh_token
+                else None
+            ),
+            token_uri="https://oauth2.googleapis.com/token",
+            client_id=settings.secrets.google_client_id,
+            client_secret=settings.secrets.google_client_secret,
+            scopes=credentials.scopes,
+        )
+        return build("gmail", "v1", credentials=creds)
+
+    async def _get_email_body(self, msg, service):
+        """Extract email body content with support for multipart messages and HTML conversion."""
+        text = await self._walk_for_body(msg["payload"], msg["id"], service)
+        return text or "This email does not contain a readable body."
+
+    async def _walk_for_body(self, part, msg_id, service, depth=0):
+        """Recursively walk through email parts to find readable body content."""
+        # Prevent infinite recursion by limiting depth
+        if depth > 10:
+            return None
+
+        mime_type = part.get("mimeType", "")
+        body = part.get("body", {})
+
+        # Handle text/plain content
+        if mime_type == "text/plain" and body.get("data"):
+            return self._decode_base64(body["data"])
+
+        # Handle text/html content (convert to plain text)
+        if mime_type == "text/html" and body.get("data"):
+            html_content = self._decode_base64(body["data"])
+            if html_content:
+                try:
+                    import html2text
+
+                    h = html2text.HTML2Text()
+                    h.ignore_links = False
+                    h.ignore_images = True
+                    return h.handle(html_content)
+                except ImportError:
+                    # Fallback: return raw HTML if html2text is not available
+                    return html_content
+
+        # Handle content stored as attachment
+        if body.get("attachmentId"):
+            attachment_data = await self._download_attachment_body(
+                body["attachmentId"], msg_id, service
+            )
+            if attachment_data:
+                return self._decode_base64(attachment_data)
+
+        # Recursively search in parts
+        for sub_part in part.get("parts", []):
+            text = await self._walk_for_body(sub_part, msg_id, service, depth + 1)
+            if text:
+                return text
+
+        return None
+
+    def _decode_base64(self, data):
+        """Safely decode base64 URL-safe data with proper padding."""
+        if not data:
+            return None
+        try:
+            # Add padding if necessary
+            missing_padding = len(data) % 4
+            if missing_padding:
+                data += "=" * (4 - missing_padding)
+            return base64.urlsafe_b64decode(data).decode("utf-8")
+        except Exception:
+            return None
+
+    async def _download_attachment_body(self, attachment_id, msg_id, service):
+        """Download attachment content when email body is stored as attachment."""
+        try:
+            attachment = await asyncio.to_thread(
+                lambda: service.users()
+                .messages()
+                .attachments()
+                .get(userId="me", messageId=msg_id, id=attachment_id)
+                .execute()
+            )
+            return attachment.get("data")
+        except Exception:
+            return None
+
+    async def _get_attachments(self, service, message):
+        attachments = []
+        if "parts" in message["payload"]:
+            for part in message["payload"]["parts"]:
+                if part.get("filename"):
+                    attachment = Attachment(
+                        filename=part["filename"],
+                        content_type=part["mimeType"],
+                        size=int(part["body"].get("size", 0)),
+                        attachment_id=part["body"]["attachmentId"],
+                    )
+                    attachments.append(attachment)
+        return attachments
+
+    async def download_attachment(self, service, message_id: str, attachment_id: str):
+        attachment = await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .attachments()
+            .get(userId="me", messageId=message_id, id=attachment_id)
+            .execute()
+        )
+        file_data = base64.urlsafe_b64decode(attachment["data"].encode("UTF-8"))
+        return file_data
+
+    async def _get_label_id(self, service, label_name: str) -> str | None:
+        """Get label ID by name from Gmail."""
+        results = await asyncio.to_thread(
+            lambda: service.users().labels().list(userId="me").execute()
+        )
+        labels = results.get("labels", [])
+        for label in labels:
+            if label["name"] == label_name:
+                return label["id"]
+        return None
+
+
+class GmailReadBlock(GmailBase):
     class Input(BlockSchema):
         credentials: GoogleCredentialsInput = GoogleCredentialsField(
             ["https://www.googleapis.com/auth/gmail.readonly"]
@@ -81,11 +362,15 @@ def __init__(self):
                 (
                     "email",
                     {
+                        "threadId": "t1",
+                        "labelIds": ["INBOX"],
                         "id": "1",
                         "subject": "Test Email",
                         "snippet": "This is a test email",
                         "from_": "test@example.com",
-                        "to": "recipient@example.com",
+                        "to": ["recipient@example.com"],
+                        "cc": [],
+                        "bcc": [],
                         "date": "2024-01-01",
                         "body": "This is a test email",
                         "sizeEstimate": 100,
@@ -96,11 +381,15 @@ def __init__(self):
                     "emails",
                     [
                         {
+                            "threadId": "t1",
+                            "labelIds": ["INBOX"],
                             "id": "1",
                             "subject": "Test Email",
                             "snippet": "This is a test email",
                             "from_": "test@example.com",
-                            "to": "recipient@example.com",
+                            "to": ["recipient@example.com"],
+                            "cc": [],
+                            "bcc": [],
                             "date": "2024-01-01",
                             "body": "This is a test email",
                             "sizeEstimate": 100,
@@ -112,11 +401,15 @@ def __init__(self):
             test_mock={
                 "_read_emails": lambda *args, **kwargs: [
                     {
+                        "threadId": "t1",
+                        "labelIds": ["INBOX"],
                         "id": "1",
                         "subject": "Test Email",
                         "snippet": "This is a test email",
                         "from_": "test@example.com",
-                        "to": "recipient@example.com",
+                        "to": ["recipient@example.com"],
+                        "cc": [],
+                        "bcc": [],
                         "date": "2024-01-01",
                         "body": "This is a test email",
                         "sizeEstimate": 100,
@@ -127,52 +420,49 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
     ) -> BlockOutput:
         service = self._build_service(credentials, **kwargs)
-        messages = self._read_emails(service, input_data.query, input_data.max_results)
+        messages = await self._read_emails(
+            service,
+            input_data.query,
+            input_data.max_results,
+            credentials.scopes,
+        )
         for email in messages:
             yield "email", email
         yield "emails", messages
 
-    @staticmethod
-    def _build_service(credentials: GoogleCredentials, **kwargs):
-        creds = Credentials(
-            token=(
-                credentials.access_token.get_secret_value()
-                if credentials.access_token
-                else None
-            ),
-            refresh_token=(
-                credentials.refresh_token.get_secret_value()
-                if credentials.refresh_token
-                else None
-            ),
-            token_uri="https://oauth2.googleapis.com/token",
-            client_id=kwargs.get("client_id"),
-            client_secret=kwargs.get("client_secret"),
-            scopes=credentials.scopes,
-        )
-        return build("gmail", "v1", credentials=creds)
-
-    def _read_emails(
-        self, service, query: str | None, max_results: int | None
+    async def _read_emails(
+        self,
+        service,
+        query: str | None,
+        max_results: int | None,
+        scopes: list[str] | None,
     ) -> list[Email]:
-        results = (
-            service.users()
-            .messages()
-            .list(userId="me", q=query or "", maxResults=max_results or 10)
-            .execute()
+        scopes = [s.lower() for s in (scopes or [])]
+        list_kwargs = {"userId": "me", "maxResults": max_results or 10}
+        if query and "https://www.googleapis.com/auth/gmail.metadata" not in scopes:
+            list_kwargs["q"] = query
+
+        results = await asyncio.to_thread(
+            lambda: service.users().messages().list(**list_kwargs).execute()
         )
+
         messages = results.get("messages", [])
 
         email_data = []
         for message in messages:
-            msg = (
-                service.users()
+            format_type = (
+                "metadata"
+                if "https://www.googleapis.com/auth/gmail.metadata" in scopes
+                else "full"
+            )
+            msg = await asyncio.to_thread(
+                lambda: service.users()
                 .messages()
-                .get(userId="me", id=message["id"], format="full")
+                .get(userId="me", id=message["id"], format=format_type)
                 .execute()
             )
 
@@ -181,81 +471,77 @@ def _read_emails(
                 for header in msg["payload"]["headers"]
             }
 
-            attachments = self._get_attachments(service, msg)
+            attachments = await self._get_attachments(service, msg)
+
+            # Parse all recipients
+            to_recipients = [
+                addr.strip() for _, addr in getaddresses([headers.get("to", "")])
+            ]
+            cc_recipients = [
+                addr.strip() for _, addr in getaddresses([headers.get("cc", "")])
+            ]
+            bcc_recipients = [
+                addr.strip() for _, addr in getaddresses([headers.get("bcc", "")])
+            ]
 
             email = Email(
+                threadId=msg.get("threadId", None),
+                labelIds=msg.get("labelIds", []),
                 id=msg["id"],
                 subject=headers.get("subject", "No Subject"),
-                snippet=msg["snippet"],
+                snippet=msg.get("snippet", ""),
                 from_=parseaddr(headers.get("from", ""))[1],
-                to=parseaddr(headers.get("to", ""))[1],
+                to=to_recipients if to_recipients else [],
+                cc=cc_recipients,
+                bcc=bcc_recipients,
                 date=headers.get("date", ""),
-                body=self._get_email_body(msg),
-                sizeEstimate=msg["sizeEstimate"],
+                body=await self._get_email_body(msg, service),
+                sizeEstimate=msg.get("sizeEstimate", 0),
                 attachments=attachments,
             )
             email_data.append(email)
 
         return email_data
 
-    def _get_email_body(self, msg):
-        if "parts" in msg["payload"]:
-            for part in msg["payload"]["parts"]:
-                if part["mimeType"] == "text/plain":
-                    return base64.urlsafe_b64decode(part["body"]["data"]).decode(
-                        "utf-8"
-                    )
-        elif msg["payload"]["mimeType"] == "text/plain":
-            return base64.urlsafe_b64decode(msg["payload"]["body"]["data"]).decode(
-                "utf-8"
-            )
-
-        return "This email does not contain a text body."
-
-    def _get_attachments(self, service, message):
-        attachments = []
-        if "parts" in message["payload"]:
-            for part in message["payload"]["parts"]:
-                if part["filename"]:
-                    attachment = Attachment(
-                        filename=part["filename"],
-                        content_type=part["mimeType"],
-                        size=int(part["body"].get("size", 0)),
-                        attachment_id=part["body"]["attachmentId"],
-                    )
-                    attachments.append(attachment)
-        return attachments
 
-    # Add a new method to download attachment content
-    def download_attachment(self, service, message_id: str, attachment_id: str):
-        attachment = (
-            service.users()
-            .messages()
-            .attachments()
-            .get(userId="me", messageId=message_id, id=attachment_id)
-            .execute()
-        )
-        file_data = base64.urlsafe_b64decode(attachment["data"].encode("UTF-8"))
-        return file_data
+class GmailSendBlock(GmailBase):
+    """
+    Sends emails through Gmail with intelligent content type detection.
 
+    Features:
+    - Automatic HTML detection: Emails containing HTML tags are sent as text/html
+    - No hard-wrap for plain text: Plain text emails preserve natural line flow
+    - Manual content type override: Use content_type parameter to force specific format
+    - Full Unicode/emoji support with UTF-8 encoding
+    - Attachment support for multiple files
+    """
 
-class GmailSendBlock(Block):
     class Input(BlockSchema):
         credentials: GoogleCredentialsInput = GoogleCredentialsField(
             ["https://www.googleapis.com/auth/gmail.send"]
         )
-        to: str = SchemaField(
-            description="Recipient email address",
+        to: list[str] = SchemaField(
+            description="Recipient email addresses",
         )
         subject: str = SchemaField(
             description="Email subject",
         )
         body: str = SchemaField(
-            description="Email body",
+            description="Email body (plain text or HTML)",
+        )
+        cc: list[str] = SchemaField(description="CC recipients", default_factory=list)
+        bcc: list[str] = SchemaField(description="BCC recipients", default_factory=list)
+        content_type: Optional[Literal["auto", "plain", "html"]] = SchemaField(
+            description="Content type: 'auto' (default - detects HTML), 'plain', or 'html'",
+            default=None,
+            advanced=True,
+        )
+        attachments: list[MediaFileType] = SchemaField(
+            description="Files to attach", default_factory=list, advanced=True
         )
 
     class Output(BlockSchema):
-        result: dict = SchemaField(
+        result: GmailSendResult = SchemaField(
             description="Send confirmation",
         )
         error: str = SchemaField(
@@ -265,13 +551,13 @@ class Output(BlockSchema):
     def __init__(self):
         super().__init__(
             id="6c27abc2-e51d-499e-a85f-5a0041ba94f0",
-            description="This block sends an email using Gmail.",
+            description="Send emails via Gmail with automatic HTML detection and proper text formatting. Plain text emails are sent without 78-character line wrapping, preserving natural paragraph flow. HTML emails are automatically detected and sent with correct MIME type.",
             categories={BlockCategory.COMMUNICATION},
             input_schema=GmailSendBlock.Input,
             output_schema=GmailSendBlock.Output,
             disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
             test_input={
-                "to": "recipient@example.com",
+                "to": ["recipient@example.com"],
                 "subject": "Test Email",
                 "body": "This is a test email sent from GmailSendBlock.",
                 "credentials": TEST_CREDENTIALS_INPUT,
@@ -285,36 +571,156 @@ def __init__(self):
             },
         )
 
-    def run(
-        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GoogleCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
     ) -> BlockOutput:
-        service = GmailReadBlock._build_service(credentials, **kwargs)
-        send_result = self._send_email(
-            service, input_data.to, input_data.subject, input_data.body
+        service = self._build_service(credentials, **kwargs)
+        result = await self._send_email(
+            service,
+            input_data,
+            graph_exec_id,
+            user_id,
         )
-        yield "result", send_result
+        yield "result", result
 
-    def _send_email(self, service, to: str, subject: str, body: str) -> dict:
-        if not to or not subject or not body:
-            raise ValueError("To, subject, and body are required for sending an email")
-        message = self._create_message(to, subject, body)
-        sent_message = (
-            service.users().messages().send(userId="me", body=message).execute()
+    async def _send_email(
+        self, service, input_data: Input, graph_exec_id: str, user_id: str
+    ) -> dict:
+        if not input_data.to or not input_data.subject or not input_data.body:
+            raise ValueError(
+                "At least one recipient, subject, and body are required for sending an email"
+            )
+        raw_message = await create_mime_message(input_data, graph_exec_id, user_id)
+        sent_message = await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .send(userId="me", body={"raw": raw_message})
+            .execute()
         )
         return {"id": sent_message["id"], "status": "sent"}
 
-    def _create_message(self, to: str, subject: str, body: str) -> dict:
-        import base64
-        from email.mime.text import MIMEText
 
-        message = MIMEText(body)
-        message["to"] = to
-        message["subject"] = subject
-        raw_message = base64.urlsafe_b64encode(message.as_bytes()).decode("utf-8")
-        return {"raw": raw_message}
+class GmailCreateDraftBlock(GmailBase):
+    """
+    Creates draft emails in Gmail with intelligent content type detection.
 
+    Features:
+    - Automatic HTML detection: Drafts containing HTML tags are formatted as text/html
+    - No hard-wrap for plain text: Plain text drafts preserve natural line flow
+    - Manual content type override: Use content_type parameter to force specific format
+    - Full Unicode/emoji support with UTF-8 encoding
+    - Attachment support for multiple files
+    """
 
-class GmailListLabelsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/gmail.modify"]
+        )
+        to: list[str] = SchemaField(
+            description="Recipient email addresses",
+        )
+        subject: str = SchemaField(
+            description="Email subject",
+        )
+        body: str = SchemaField(
+            description="Email body (plain text or HTML)",
+        )
+        cc: list[str] = SchemaField(description="CC recipients", default_factory=list)
+        bcc: list[str] = SchemaField(description="BCC recipients", default_factory=list)
+        content_type: Optional[Literal["auto", "plain", "html"]] = SchemaField(
+            description="Content type: 'auto' (default - detects HTML), 'plain', or 'html'",
+            default=None,
+            advanced=True,
+        )
+        attachments: list[MediaFileType] = SchemaField(
+            description="Files to attach", default_factory=list, advanced=True
+        )
+
+    class Output(BlockSchema):
+        result: GmailDraftResult = SchemaField(
+            description="Draft creation result",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="e1eeead4-46cb-491e-8281-17b6b9c44a55",
+            description="Create draft emails in Gmail with automatic HTML detection and proper text formatting. Plain text drafts preserve natural paragraph flow without 78-character line wrapping. HTML content is automatically detected and formatted correctly.",
+            categories={BlockCategory.COMMUNICATION},
+            input_schema=GmailCreateDraftBlock.Input,
+            output_schema=GmailCreateDraftBlock.Output,
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            test_input={
+                "to": ["recipient@example.com"],
+                "subject": "Draft Test Email",
+                "body": "This is a test draft email.",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "result",
+                    GmailDraftResult(
+                        id="draft1", message_id="msg1", status="draft_created"
+                    ),
+                ),
+            ],
+            test_mock={
+                "_create_draft": lambda *args, **kwargs: {
+                    "id": "draft1",
+                    "message": {"id": "msg1"},
+                },
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GoogleCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        service = self._build_service(credentials, **kwargs)
+        result = await self._create_draft(
+            service,
+            input_data,
+            graph_exec_id,
+            user_id,
+        )
+        yield "result", GmailDraftResult(
+            id=result["id"], message_id=result["message"]["id"], status="draft_created"
+        )
+
+    async def _create_draft(
+        self, service, input_data: Input, graph_exec_id: str, user_id: str
+    ) -> dict:
+        if not input_data.to or not input_data.subject:
+            raise ValueError(
+                "At least one recipient and subject are required for creating a draft"
+            )
+
+        raw_message = await create_mime_message(input_data, graph_exec_id, user_id)
+        draft = await asyncio.to_thread(
+            lambda: service.users()
+            .drafts()
+            .create(userId="me", body={"message": {"raw": raw_message}})
+            .execute()
+        )
+
+        return draft
+
+
+class GmailListLabelsBlock(GmailBase):
     class Input(BlockSchema):
         credentials: GoogleCredentialsInput = GoogleCredentialsField(
             ["https://www.googleapis.com/auth/gmail.labels"]
@@ -357,20 +763,22 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
     ) -> BlockOutput:
-        service = GmailReadBlock._build_service(credentials, **kwargs)
-        labels = self._list_labels(service)
-        yield "result", labels
+        service = self._build_service(credentials, **kwargs)
+        result = await self._list_labels(service)
+        yield "result", result
 
-    def _list_labels(self, service) -> list[dict]:
-        results = service.users().labels().list(userId="me").execute()
+    async def _list_labels(self, service) -> list[dict]:
+        results = await asyncio.to_thread(
+            lambda: service.users().labels().list(userId="me").execute()
+        )
         labels = results.get("labels", [])
         return [{"id": label["id"], "name": label["name"]} for label in labels]
 
 
-class GmailAddLabelBlock(Block):
+class GmailAddLabelBlock(GmailBase):
     class Input(BlockSchema):
         credentials: GoogleCredentialsInput = GoogleCredentialsField(
             ["https://www.googleapis.com/auth/gmail.modify"]
@@ -383,7 +791,7 @@ class Input(BlockSchema):
         )
 
     class Output(BlockSchema):
-        result: dict = SchemaField(
+        result: GmailLabelResult = SchemaField(
             description="Label addition result",
         )
         error: str = SchemaField(
@@ -418,25 +826,36 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
     ) -> BlockOutput:
-        service = GmailReadBlock._build_service(credentials, **kwargs)
-        result = self._add_label(service, input_data.message_id, input_data.label_name)
+        service = self._build_service(credentials, **kwargs)
+        result = await self._add_label(
+            service, input_data.message_id, input_data.label_name
+        )
         yield "result", result
 
-    def _add_label(self, service, message_id: str, label_name: str) -> dict:
-        label_id = self._get_or_create_label(service, label_name)
-        service.users().messages().modify(
-            userId="me", id=message_id, body={"addLabelIds": [label_id]}
-        ).execute()
+    async def _add_label(self, service, message_id: str, label_name: str) -> dict:
+        label_id = await self._get_or_create_label(service, label_name)
+        result = await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .modify(userId="me", id=message_id, body={"addLabelIds": [label_id]})
+            .execute()
+        )
+        if not result.get("labelIds"):
+            return {
+                "status": "Label already applied or not found",
+                "label_id": label_id,
+            }
+
         return {"status": "Label added successfully", "label_id": label_id}
 
-    def _get_or_create_label(self, service, label_name: str) -> str:
-        label_id = self._get_label_id(service, label_name)
+    async def _get_or_create_label(self, service, label_name: str) -> str:
+        label_id = await self._get_label_id(service, label_name)
         if not label_id:
-            label = (
-                service.users()
+            label = await asyncio.to_thread(
+                lambda: service.users()
                 .labels()
                 .create(userId="me", body={"name": label_name})
                 .execute()
@@ -444,16 +863,8 @@ def _get_or_create_label(self, service, label_name: str) -> str:
             label_id = label["id"]
         return label_id
 
-    def _get_label_id(self, service, label_name: str) -> str | None:
-        results = service.users().labels().list(userId="me").execute()
-        labels = results.get("labels", [])
-        for label in labels:
-            if label["name"] == label_name:
-                return label["id"]
-        return None
-
 
-class GmailRemoveLabelBlock(Block):
+class GmailRemoveLabelBlock(GmailBase):
     class Input(BlockSchema):
         credentials: GoogleCredentialsInput = GoogleCredentialsField(
             ["https://www.googleapis.com/auth/gmail.modify"]
@@ -466,7 +877,7 @@ class Input(BlockSchema):
         )
 
     class Output(BlockSchema):
-        result: dict = SchemaField(
+        result: GmailLabelResult = SchemaField(
             description="Label removal result",
         )
         error: str = SchemaField(
@@ -501,29 +912,676 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
     ) -> BlockOutput:
-        service = GmailReadBlock._build_service(credentials, **kwargs)
-        result = self._remove_label(
+        service = self._build_service(credentials, **kwargs)
+        result = await self._remove_label(
             service, input_data.message_id, input_data.label_name
         )
         yield "result", result
 
-    def _remove_label(self, service, message_id: str, label_name: str) -> dict:
-        label_id = self._get_label_id(service, label_name)
+    async def _remove_label(self, service, message_id: str, label_name: str) -> dict:
+        label_id = await self._get_label_id(service, label_name)
         if label_id:
-            service.users().messages().modify(
-                userId="me", id=message_id, body={"removeLabelIds": [label_id]}
-            ).execute()
+            result = await asyncio.to_thread(
+                lambda: service.users()
+                .messages()
+                .modify(userId="me", id=message_id, body={"removeLabelIds": [label_id]})
+                .execute()
+            )
+            if not result.get("labelIds"):
+                return {
+                    "status": "Label already removed or not applied",
+                    "label_id": label_id,
+                }
             return {"status": "Label removed successfully", "label_id": label_id}
         else:
             return {"status": "Label not found", "label_name": label_name}
 
-    def _get_label_id(self, service, label_name: str) -> str | None:
-        results = service.users().labels().list(userId="me").execute()
-        labels = results.get("labels", [])
-        for label in labels:
-            if label["name"] == label_name:
-                return label["id"]
-        return None
+
+class GmailGetThreadBlock(GmailBase):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/gmail.readonly"]
+        )
+        threadId: str = SchemaField(description="Gmail thread ID")
+
+    class Output(BlockSchema):
+        thread: Thread = SchemaField(
+            description="Gmail thread with decoded message bodies"
+        )
+        error: str = SchemaField(description="Error message if any")
+
+    def __init__(self):
+        super().__init__(
+            id="21a79166-9df7-4b5f-9f36-96f639d86112",
+            description="Get a full Gmail thread by ID",
+            categories={BlockCategory.COMMUNICATION},
+            input_schema=GmailGetThreadBlock.Input,
+            output_schema=GmailGetThreadBlock.Output,
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            test_input={"threadId": "t1", "credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "thread",
+                    {
+                        "id": "188199feff9dc907",
+                        "messages": [
+                            {
+                                "id": "188199feff9dc907",
+                                "to": ["nick@example.co"],
+                                "cc": [],
+                                "bcc": [],
+                                "body": "This email does not contain a text body.",
+                                "date": "Thu, 17 Jul 2025 19:22:36 +0100",
+                                "from_": "bent@example.co",
+                                "snippet": "have a funny looking car -- Bently, Community Administrator For AutoGPT",
+                                "subject": "car",
+                                "threadId": "188199feff9dc907",
+                                "labelIds": ["INBOX"],
+                                "attachments": [
+                                    {
+                                        "size": 5694,
+                                        "filename": "frog.jpg",
+                                        "content_type": "image/jpeg",
+                                        "attachment_id": "ANGjdJ_f777CvJ37TdHYSPIPPqJ0HVNgze1uM8alw5iiqTqAVXjsmBWxOWXrY3Z4W4rEJHfAcHVx54_TbtcZIVJJEqJfAD5LoUOK9_zKCRwwcTJ5TGgjsXcZNSnOJNazM-m4E6buo2-p0WNcA_hqQvuA36nzS31Olx3m2x7BaG1ILOkBcjlKJl4KCcR0AvnfK0S02k8i-bZVqII7XXrNp21f1BDolxH7tiEhkz3d5p-5Lbro24olgOWQwQk0SCJsTWWBMCVgbxU7oLt1QmPcjANxfpvh69Qfap3htvQxFa9P08NDI2YqQkry9yPxVR7ZBJQWrqO35EWmhNySEiX5pfG8SDRmfP9O_BqxTH35nEXmSOvZH9zb214iM-zfSoPSU1F5Fo71",
+                                    }
+                                ],
+                                "sizeEstimate": 14099,
+                            }
+                        ],
+                        "historyId": "645006",
+                    },
+                )
+            ],
+            test_mock={
+                "_get_thread": lambda *args, **kwargs: {
+                    "id": "188199feff9dc907",
+                    "messages": [
+                        {
+                            "id": "188199feff9dc907",
+                            "to": ["nick@example.co"],
+                            "cc": [],
+                            "bcc": [],
+                            "body": "This email does not contain a text body.",
+                            "date": "Thu, 17 Jul 2025 19:22:36 +0100",
+                            "from_": "bent@example.co",
+                            "snippet": "have a funny looking car -- Bently, Community Administrator For AutoGPT",
+                            "subject": "car",
+                            "threadId": "188199feff9dc907",
+                            "labelIds": ["INBOX"],
+                            "attachments": [
+                                {
+                                    "size": 5694,
+                                    "filename": "frog.jpg",
+                                    "content_type": "image/jpeg",
+                                    "attachment_id": "ANGjdJ_f777CvJ37TdHYSPIPPqJ0HVNgze1uM8alw5iiqTqAVXjsmBWxOWXrY3Z4W4rEJHfAcHVx54_TbtcZIVJJEqJfAD5LoUOK9_zKCRwwcTJ5TGgjsXcZNSnOJNazM-m4E6buo2-p0WNcA_hqQvuA36nzS31Olx3m2x7BaG1ILOkBcjlKJl4KCcR0AvnfK0S02k8i-bZVqII7XXrNp21f1BDolxH7tiEhkz3d5p-5Lbro24olgOWQwQk0SCJsTWWBMCVgbxU7oLt1QmPcjANxfpvh69Qfap3htvQxFa9P08NDI2YqQkry9yPxVR7ZBJQWrqO35EWmhNySEiX5pfG8SDRmfP9O_BqxTH35nEXmSOvZH9zb214iM-zfSoPSU1F5Fo71",
+                                }
+                            ],
+                            "sizeEstimate": 14099,
+                        }
+                    ],
+                    "historyId": "645006",
+                }
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = self._build_service(credentials, **kwargs)
+        thread = await self._get_thread(
+            service, input_data.threadId, credentials.scopes
+        )
+        yield "thread", thread
+
+    async def _get_thread(
+        self, service, thread_id: str, scopes: list[str] | None
+    ) -> Thread:
+        scopes = [s.lower() for s in (scopes or [])]
+        format_type = (
+            "metadata"
+            if "https://www.googleapis.com/auth/gmail.metadata" in scopes
+            else "full"
+        )
+        thread = await asyncio.to_thread(
+            lambda: service.users()
+            .threads()
+            .get(userId="me", id=thread_id, format=format_type)
+            .execute()
+        )
+
+        parsed_messages = []
+        for msg in thread.get("messages", []):
+            headers = {
+                h["name"].lower(): h["value"]
+                for h in msg.get("payload", {}).get("headers", [])
+            }
+            body = await self._get_email_body(msg, service)
+            attachments = await self._get_attachments(service, msg)
+
+            # Parse all recipients
+            to_recipients = [
+                addr.strip() for _, addr in getaddresses([headers.get("to", "")])
+            ]
+            cc_recipients = [
+                addr.strip() for _, addr in getaddresses([headers.get("cc", "")])
+            ]
+            bcc_recipients = [
+                addr.strip() for _, addr in getaddresses([headers.get("bcc", "")])
+            ]
+
+            email = Email(
+                threadId=msg.get("threadId", thread_id),
+                labelIds=msg.get("labelIds", []),
+                id=msg.get("id"),
+                subject=headers.get("subject", "No Subject"),
+                snippet=msg.get("snippet", ""),
+                from_=parseaddr(headers.get("from", ""))[1],
+                to=to_recipients if to_recipients else [],
+                cc=cc_recipients,
+                bcc=bcc_recipients,
+                date=headers.get("date", ""),
+                body=body,
+                sizeEstimate=msg.get("sizeEstimate", 0),
+                attachments=attachments,
+            )
+            parsed_messages.append(email.model_dump())
+
+        thread["messages"] = parsed_messages
+        return thread
+
+
+class GmailReplyBlock(GmailBase):
+    """
+    Replies to Gmail threads with intelligent content type detection.
+
+    Features:
+    - Automatic HTML detection: Replies containing HTML tags are sent as text/html
+    - No hard-wrap for plain text: Plain text replies preserve natural line flow
+    - Manual content type override: Use content_type parameter to force specific format
+    - Reply-all functionality: Option to reply to all original recipients
+    - Thread preservation: Maintains proper email threading with headers
+    - Full Unicode/emoji support with UTF-8 encoding
+    """
+
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            [
+                "https://www.googleapis.com/auth/gmail.send",
+                "https://www.googleapis.com/auth/gmail.readonly",
+            ]
+        )
+        threadId: str = SchemaField(description="Thread ID to reply in")
+        parentMessageId: str = SchemaField(
+            description="ID of the message being replied to"
+        )
+        to: list[str] = SchemaField(description="To recipients", default_factory=list)
+        cc: list[str] = SchemaField(description="CC recipients", default_factory=list)
+        bcc: list[str] = SchemaField(description="BCC recipients", default_factory=list)
+        replyAll: bool = SchemaField(
+            description="Reply to all original recipients", default=False
+        )
+        subject: str = SchemaField(description="Email subject", default="")
+        body: str = SchemaField(description="Email body (plain text or HTML)")
+        content_type: Optional[Literal["auto", "plain", "html"]] = SchemaField(
+            description="Content type: 'auto' (default - detects HTML), 'plain', or 'html'",
+            default=None,
+            advanced=True,
+        )
+        attachments: list[MediaFileType] = SchemaField(
+            description="Files to attach", default_factory=list, advanced=True
+        )
+
+    class Output(BlockSchema):
+        messageId: str = SchemaField(description="Sent message ID")
+        threadId: str = SchemaField(description="Thread ID")
+        message: dict = SchemaField(description="Raw Gmail message object")
+        email: Email = SchemaField(
+            description="Parsed email object with decoded body and attachments"
+        )
+        error: str = SchemaField(description="Error message if any")
+
+    def __init__(self):
+        super().__init__(
+            id="12bf5a24-9b90-4f40-9090-4e86e6995e60",
+            description="Reply to Gmail threads with automatic HTML detection and proper text formatting. Plain text replies maintain natural paragraph flow without 78-character line wrapping. HTML content is automatically detected and sent with correct MIME type.",
+            categories={BlockCategory.COMMUNICATION},
+            input_schema=GmailReplyBlock.Input,
+            output_schema=GmailReplyBlock.Output,
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            test_input={
+                "threadId": "t1",
+                "parentMessageId": "m1",
+                "body": "Thanks",
+                "replyAll": False,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("messageId", "m2"),
+                ("threadId", "t1"),
+                ("message", {"id": "m2", "threadId": "t1"}),
+                (
+                    "email",
+                    Email(
+                        threadId="t1",
+                        labelIds=[],
+                        id="m2",
+                        subject="",
+                        snippet="",
+                        from_="",
+                        to=[],
+                        cc=[],
+                        bcc=[],
+                        date="",
+                        body="Thanks",
+                        sizeEstimate=0,
+                        attachments=[],
+                    ),
+                ),
+            ],
+            test_mock={
+                "_reply": lambda *args, **kwargs: {
+                    "id": "m2",
+                    "threadId": "t1",
+                }
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GoogleCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        service = self._build_service(credentials, **kwargs)
+        message = await self._reply(
+            service,
+            input_data,
+            graph_exec_id,
+            user_id,
+        )
+        yield "messageId", message["id"]
+        yield "threadId", message.get("threadId", input_data.threadId)
+        yield "message", message
+        email = Email(
+            threadId=message.get("threadId", input_data.threadId),
+            labelIds=message.get("labelIds", []),
+            id=message["id"],
+            subject=input_data.subject or "",
+            snippet=message.get("snippet", ""),
+            from_="",  # From address would need to be retrieved from the message headers
+            to=input_data.to if input_data.to else [],
+            cc=input_data.cc if input_data.cc else [],
+            bcc=input_data.bcc if input_data.bcc else [],
+            date="",  # Date would need to be retrieved from the message headers
+            body=input_data.body,
+            sizeEstimate=message.get("sizeEstimate", 0),
+            attachments=[],  # Attachments info not available from send response
+        )
+        yield "email", email
+
+    async def _reply(
+        self, service, input_data: Input, graph_exec_id: str, user_id: str
+    ) -> dict:
+        parent = await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .get(
+                userId="me",
+                id=input_data.parentMessageId,
+                format="metadata",
+                metadataHeaders=[
+                    "Subject",
+                    "References",
+                    "Message-ID",
+                    "From",
+                    "To",
+                    "Cc",
+                    "Reply-To",
+                ],
+            )
+            .execute()
+        )
+
+        headers = {
+            h["name"].lower(): h["value"]
+            for h in parent.get("payload", {}).get("headers", [])
+        }
+        if not (input_data.to or input_data.cc or input_data.bcc):
+            if input_data.replyAll:
+                recipients = [parseaddr(headers.get("from", ""))[1]]
+                recipients += [
+                    addr for _, addr in getaddresses([headers.get("to", "")])
+                ]
+                recipients += [
+                    addr for _, addr in getaddresses([headers.get("cc", "")])
+                ]
+                dedup: list[str] = []
+                for r in recipients:
+                    if r and r not in dedup:
+                        dedup.append(r)
+                input_data.to = dedup
+            else:
+                sender = parseaddr(headers.get("reply-to", headers.get("from", "")))[1]
+                input_data.to = [sender] if sender else []
+        subject = input_data.subject or (f"Re: {headers.get('subject', '')}".strip())
+        references = headers.get("references", "").split()
+        if headers.get("message-id"):
+            references.append(headers["message-id"])
+
+        msg = MIMEMultipart()
+        if input_data.to:
+            msg["To"] = ", ".join(input_data.to)
+        if input_data.cc:
+            msg["Cc"] = ", ".join(input_data.cc)
+        if input_data.bcc:
+            msg["Bcc"] = ", ".join(input_data.bcc)
+        msg["Subject"] = subject
+        if headers.get("message-id"):
+            msg["In-Reply-To"] = headers["message-id"]
+        if references:
+            msg["References"] = " ".join(references)
+        # Use the new helper function for consistent content type handling
+        msg.attach(_make_mime_text(input_data.body, input_data.content_type))
+
+        for attach in input_data.attachments:
+            local_path = await store_media_file(
+                user_id=user_id,
+                graph_exec_id=graph_exec_id,
+                file=attach,
+                return_content=False,
+            )
+            abs_path = get_exec_file_path(graph_exec_id, local_path)
+            part = MIMEBase("application", "octet-stream")
+            with open(abs_path, "rb") as f:
+                part.set_payload(f.read())
+            encoders.encode_base64(part)
+            part.add_header(
+                "Content-Disposition", f"attachment; filename={Path(abs_path).name}"
+            )
+            msg.attach(part)
+
+        raw = base64.urlsafe_b64encode(msg.as_bytes()).decode("utf-8")
+        return await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .send(userId="me", body={"threadId": input_data.threadId, "raw": raw})
+            .execute()
+        )
+
+
+class GmailGetProfileBlock(GmailBase):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/gmail.readonly"]
+        )
+
+    class Output(BlockSchema):
+        profile: Profile = SchemaField(description="Gmail user profile information")
+        error: str = SchemaField(description="Error message if any")
+
+    def __init__(self):
+        super().__init__(
+            id="04b0d996-0908-4a4b-89dd-b9697ff253d3",
+            description="Get the authenticated user's Gmail profile details including email address and message statistics.",
+            categories={BlockCategory.COMMUNICATION},
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            input_schema=GmailGetProfileBlock.Input,
+            output_schema=GmailGetProfileBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "profile",
+                    {
+                        "emailAddress": "test@example.com",
+                        "messagesTotal": 1000,
+                        "threadsTotal": 500,
+                        "historyId": "12345",
+                    },
+                ),
+            ],
+            test_mock={
+                "_get_profile": lambda *args, **kwargs: {
+                    "emailAddress": "test@example.com",
+                    "messagesTotal": 1000,
+                    "threadsTotal": 500,
+                    "historyId": "12345",
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = self._build_service(credentials, **kwargs)
+        profile = await self._get_profile(service)
+        yield "profile", profile
+
+    async def _get_profile(self, service) -> Profile:
+        result = await asyncio.to_thread(
+            lambda: service.users().getProfile(userId="me").execute()
+        )
+        return Profile(
+            emailAddress=result.get("emailAddress", ""),
+            messagesTotal=result.get("messagesTotal", 0),
+            threadsTotal=result.get("threadsTotal", 0),
+            historyId=result.get("historyId", ""),
+        )
+
+
+class GmailForwardBlock(GmailBase):
+    """
+    Forwards Gmail messages with intelligent content type detection.
+
+    Features:
+    - Preserves original message headers and threading
+    - Automatic HTML detection for forwarded content
+    - Optional forward message customization
+    - Full attachment support from original message
+    - Manual content type override option
+    """
+
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            [
+                "https://www.googleapis.com/auth/gmail.send",
+                "https://www.googleapis.com/auth/gmail.readonly",
+            ]
+        )
+        messageId: str = SchemaField(description="ID of the message to forward")
+        to: list[str] = SchemaField(description="Recipients to forward the message to")
+        cc: list[str] = SchemaField(description="CC recipients", default_factory=list)
+        bcc: list[str] = SchemaField(description="BCC recipients", default_factory=list)
+        subject: str = SchemaField(
+            description="Optional custom subject (defaults to 'Fwd: [original subject]')",
+            default="",
+        )
+        forwardMessage: str = SchemaField(
+            description="Optional message to include before the forwarded content",
+            default="",
+        )
+        includeAttachments: bool = SchemaField(
+            description="Include attachments from the original message",
+            default=True,
+        )
+        content_type: Optional[Literal["auto", "plain", "html"]] = SchemaField(
+            description="Content type: 'auto' (default - detects HTML), 'plain', or 'html'",
+            default=None,
+            advanced=True,
+        )
+        additionalAttachments: list[MediaFileType] = SchemaField(
+            description="Additional files to attach",
+            default_factory=list,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        messageId: str = SchemaField(description="Forwarded message ID")
+        threadId: str = SchemaField(description="Thread ID")
+        status: str = SchemaField(description="Forward status")
+        error: str = SchemaField(description="Error message if any")
+
+    def __init__(self):
+        super().__init__(
+            id="64d2301c-b3f5-4174-8ac0-111ca1e1a7c0",
+            description="Forward Gmail messages to other recipients with automatic HTML detection and proper formatting. Preserves original message threading and attachments.",
+            categories={BlockCategory.COMMUNICATION},
+            input_schema=GmailForwardBlock.Input,
+            output_schema=GmailForwardBlock.Output,
+            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            test_input={
+                "messageId": "m1",
+                "to": ["recipient@example.com"],
+                "forwardMessage": "FYI - forwarding this to you.",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("messageId", "m2"),
+                ("threadId", "t1"),
+                ("status", "forwarded"),
+            ],
+            test_mock={
+                "_forward_message": lambda *args, **kwargs: {
+                    "id": "m2",
+                    "threadId": "t1",
+                },
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: GoogleCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        service = self._build_service(credentials, **kwargs)
+        result = await self._forward_message(
+            service,
+            input_data,
+            graph_exec_id,
+            user_id,
+        )
+        yield "messageId", result["id"]
+        yield "threadId", result.get("threadId", "")
+        yield "status", "forwarded"
+
+    async def _forward_message(
+        self, service, input_data: Input, graph_exec_id: str, user_id: str
+    ) -> dict:
+        if not input_data.to:
+            raise ValueError("At least one recipient is required for forwarding")
+
+        # Get the original message
+        original = await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .get(userId="me", id=input_data.messageId, format="full")
+            .execute()
+        )
+
+        headers = {
+            h["name"].lower(): h["value"]
+            for h in original.get("payload", {}).get("headers", [])
+        }
+
+        # Create subject with Fwd: prefix if not already present
+        original_subject = headers.get("subject", "No Subject")
+        if input_data.subject:
+            subject = input_data.subject
+        elif not original_subject.lower().startswith("fwd:"):
+            subject = f"Fwd: {original_subject}"
+        else:
+            subject = original_subject
+
+        # Build forwarded message body
+        original_from = headers.get("from", "Unknown")
+        original_date = headers.get("date", "Unknown")
+        original_to = headers.get("to", "Unknown")
+
+        # Get the original body
+        original_body = await self._get_email_body(original, service)
+
+        # Construct the forward header
+        forward_header = f"""
+---------- Forwarded message ---------
+From: {original_from}
+Date: {original_date}
+Subject: {original_subject}
+To: {original_to}
+"""
+
+        # Combine optional forward message with original content
+        if input_data.forwardMessage:
+            body = f"{input_data.forwardMessage}\n\n{forward_header}\n\n{original_body}"
+        else:
+            body = f"{forward_header}\n\n{original_body}"
+
+        # Create MIME message
+        msg = MIMEMultipart()
+        msg["To"] = ", ".join(input_data.to)
+        if input_data.cc:
+            msg["Cc"] = ", ".join(input_data.cc)
+        if input_data.bcc:
+            msg["Bcc"] = ", ".join(input_data.bcc)
+        msg["Subject"] = subject
+
+        # Add body with proper content type
+        msg.attach(_make_mime_text(body, input_data.content_type))
+
+        # Include original attachments if requested
+        if input_data.includeAttachments:
+            attachments = await self._get_attachments(service, original)
+            for attachment in attachments:
+                # Download and attach each original attachment
+                attachment_data = await self.download_attachment(
+                    service, input_data.messageId, attachment.attachment_id
+                )
+                part = MIMEBase("application", "octet-stream")
+                part.set_payload(attachment_data)
+                encoders.encode_base64(part)
+                part.add_header(
+                    "Content-Disposition",
+                    f"attachment; filename={attachment.filename}",
+                )
+                msg.attach(part)
+
+        # Add any additional attachments
+        for attach in input_data.additionalAttachments:
+            local_path = await store_media_file(
+                user_id=user_id,
+                graph_exec_id=graph_exec_id,
+                file=attach,
+                return_content=False,
+            )
+            abs_path = get_exec_file_path(graph_exec_id, local_path)
+            part = MIMEBase("application", "octet-stream")
+            with open(abs_path, "rb") as f:
+                part.set_payload(f.read())
+            encoders.encode_base64(part)
+            part.add_header(
+                "Content-Disposition", f"attachment; filename={Path(abs_path).name}"
+            )
+            msg.attach(part)
+
+        # Send the forwarded message
+        raw = base64.urlsafe_b64encode(msg.as_bytes()).decode("utf-8")
+        return await asyncio.to_thread(
+            lambda: service.users()
+            .messages()
+            .send(userId="me", body={"raw": raw})
+            .execute()
+        )
diff --git a/autogpt_platform/backend/backend/blocks/google/sheets.py b/autogpt_platform/backend/backend/blocks/google/sheets.py
index e7878ff4b606..6e63958c828c 100644
--- a/autogpt_platform/backend/backend/blocks/google/sheets.py
+++ b/autogpt_platform/backend/backend/blocks/google/sheets.py
@@ -1,8 +1,13 @@
+import asyncio
+from enum import Enum
+from typing import Any
+
 from google.oauth2.credentials import Credentials
 from googleapiclient.discovery import build
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
+from backend.util.settings import Settings
 
 from ._auth import (
     GOOGLE_OAUTH_IS_CONFIGURED,
@@ -13,6 +18,192 @@
     GoogleCredentialsInput,
 )
 
+settings = Settings()
+GOOGLE_SHEETS_DISABLED = not GOOGLE_OAUTH_IS_CONFIGURED
+
+
+def parse_a1_notation(a1: str) -> tuple[str | None, str]:
+    """Split an A1‑notation string into *(sheet_name, cell_range)*.
+
+    Examples
+    --------
+    >>> parse_a1_notation("Sheet1!A1:B2")
+    ("Sheet1", "A1:B2")
+    >>> parse_a1_notation("A1:B2")
+    (None, "A1:B2")
+    """
+
+    if "!" in a1:
+        sheet, cell_range = a1.split("!", 1)
+        return sheet, cell_range
+    return None, a1
+
+
+def extract_spreadsheet_id(spreadsheet_id_or_url: str) -> str:
+    """Extract spreadsheet ID from either a direct ID or a Google Sheets URL.
+
+    Examples
+    --------
+    >>> extract_spreadsheet_id("1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms")
+    "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
+    >>> extract_spreadsheet_id("https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit")
+    "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
+    """
+    if "/spreadsheets/d/" in spreadsheet_id_or_url:
+        # Extract ID from URL: https://docs.google.com/spreadsheets/d/{ID}/edit...
+        parts = spreadsheet_id_or_url.split("/d/")[1].split("/")[0]
+        return parts
+    return spreadsheet_id_or_url
+
+
+def format_sheet_name(sheet_name: str) -> str:
+    """Format sheet name for Google Sheets API, adding quotes if needed.
+
+    Examples
+    --------
+    >>> format_sheet_name("Sheet1")
+    "Sheet1"
+    >>> format_sheet_name("Non-matching Leads")
+    "'Non-matching Leads'"
+    """
+    # If sheet name contains spaces, special characters, or starts with a digit, wrap in quotes
+    if (
+        " " in sheet_name
+        or any(char in sheet_name for char in "!@#$%^&*()+-=[]{}|;:,.<>?")
+        or (sheet_name and sheet_name[0].isdigit())
+    ):
+        return f"'{sheet_name}'"
+    return sheet_name
+
+
+def _first_sheet_meta(service, spreadsheet_id: str) -> tuple[str, int]:
+    """Return *(title, sheetId)* for the first sheet in *spreadsheet_id*."""
+
+    meta = (
+        service.spreadsheets()
+        .get(spreadsheetId=spreadsheet_id, includeGridData=False)
+        .execute()
+    )
+    first = meta["sheets"][0]["properties"]
+    return first["title"], first["sheetId"]
+
+
+def get_all_sheet_names(service, spreadsheet_id: str) -> list[str]:
+    """Get all sheet names in the spreadsheet."""
+    meta = service.spreadsheets().get(spreadsheetId=spreadsheet_id).execute()
+    return [
+        sheet.get("properties", {}).get("title", "") for sheet in meta.get("sheets", [])
+    ]
+
+
+def resolve_sheet_name(service, spreadsheet_id: str, sheet_name: str | None) -> str:
+    """Resolve *sheet_name*, falling back to the workbook's first sheet if empty.
+
+    Validates that the sheet exists in the spreadsheet and provides helpful error info.
+    """
+    if sheet_name:
+        # Validate that the sheet exists
+        all_sheets = get_all_sheet_names(service, spreadsheet_id)
+        if sheet_name not in all_sheets:
+            raise ValueError(
+                f'Sheet "{sheet_name}" not found in spreadsheet. '
+                f"Available sheets: {all_sheets}"
+            )
+        return sheet_name
+    title, _ = _first_sheet_meta(service, spreadsheet_id)
+    return title
+
+
+def sheet_id_by_name(service, spreadsheet_id: str, sheet_name: str) -> int | None:
+    """Return the *sheetId* for *sheet_name* (or `None` if not found)."""
+
+    meta = service.spreadsheets().get(spreadsheetId=spreadsheet_id).execute()
+    for sh in meta.get("sheets", []):
+        if sh.get("properties", {}).get("title") == sheet_name:
+            return sh["properties"]["sheetId"]
+    return None
+
+
+def _convert_dicts_to_rows(
+    data: list[dict[str, Any]], headers: list[str]
+) -> list[list[str]]:
+    """Convert list of dictionaries to list of rows using the specified header order.
+
+    Args:
+        data: List of dictionaries to convert
+        headers: List of column headers to use for ordering
+
+    Returns:
+        List of rows where each row is a list of string values in header order
+    """
+    if not data:
+        return []
+
+    if not headers:
+        raise ValueError("Headers are required when using list[dict] format")
+
+    rows = []
+    for item in data:
+        row = []
+        for header in headers:
+            value = item.get(header, "")
+            row.append(str(value) if value is not None else "")
+        rows.append(row)
+
+    return rows
+
+
+def _build_sheets_service(credentials: GoogleCredentials):
+    settings = Settings()
+    creds = Credentials(
+        token=(
+            credentials.access_token.get_secret_value()
+            if credentials.access_token
+            else None
+        ),
+        refresh_token=(
+            credentials.refresh_token.get_secret_value()
+            if credentials.refresh_token
+            else None
+        ),
+        token_uri="https://oauth2.googleapis.com/token",
+        client_id=settings.secrets.google_client_id,
+        client_secret=settings.secrets.google_client_secret,
+        scopes=credentials.scopes,
+    )
+    return build("sheets", "v4", credentials=creds)
+
+
+class SheetOperation(str, Enum):
+    CREATE = "create"
+    DELETE = "delete"
+    COPY = "copy"
+
+
+class ValueInputOption(str, Enum):
+    RAW = "RAW"
+    USER_ENTERED = "USER_ENTERED"
+
+
+class InsertDataOption(str, Enum):
+    OVERWRITE = "OVERWRITE"
+    INSERT_ROWS = "INSERT_ROWS"
+
+
+class BatchOperationType(str, Enum):
+    UPDATE = "update"
+    CLEAR = "clear"
+
+
+class BatchOperation(BlockSchema):
+    type: BatchOperationType = SchemaField(
+        description="The type of operation to perform"
+    )
+    range: str = SchemaField(description="The A1 notation range for the operation")
+    values: list[list[str]] = SchemaField(
+        description="Values to update (only for UPDATE)", default=[]
+    )
+
 
 class GoogleSheetsReadBlock(Block):
     class Input(BlockSchema):
@@ -20,7 +211,8 @@ class Input(BlockSchema):
             ["https://www.googleapis.com/auth/spreadsheets.readonly"]
         )
         spreadsheet_id: str = SchemaField(
-            description="The ID of the spreadsheet to read from",
+            description="The ID or URL of the spreadsheet to read from",
+            title="Spreadsheet ID or URL",
         )
         range: str = SchemaField(
             description="The A1 notation of the range to read",
@@ -41,7 +233,7 @@ def __init__(self):
             categories={BlockCategory.DATA},
             input_schema=GoogleSheetsReadBlock.Input,
             output_schema=GoogleSheetsReadBlock.Output,
-            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            disabled=GOOGLE_SHEETS_DISABLED,
             test_input={
                 "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
                 "range": "Sheet1!A1:B2",
@@ -65,33 +257,16 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
     ) -> BlockOutput:
-        service = self._build_service(credentials, **kwargs)
-        data = self._read_sheet(service, input_data.spreadsheet_id, input_data.range)
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        data = await asyncio.to_thread(
+            self._read_sheet, service, spreadsheet_id, input_data.range
+        )
         yield "result", data
 
-    @staticmethod
-    def _build_service(credentials: GoogleCredentials, **kwargs):
-        creds = Credentials(
-            token=(
-                credentials.access_token.get_secret_value()
-                if credentials.access_token
-                else None
-            ),
-            refresh_token=(
-                credentials.refresh_token.get_secret_value()
-                if credentials.refresh_token
-                else None
-            ),
-            token_uri="https://oauth2.googleapis.com/token",
-            client_id=kwargs.get("client_id"),
-            client_secret=kwargs.get("client_secret"),
-            scopes=credentials.scopes,
-        )
-        return build("sheets", "v4", credentials=creds)
-
     def _read_sheet(self, service, spreadsheet_id: str, range: str) -> list[list[str]]:
         sheet = service.spreadsheets()
         result = sheet.values().get(spreadsheetId=spreadsheet_id, range=range).execute()
@@ -104,7 +279,8 @@ class Input(BlockSchema):
             ["https://www.googleapis.com/auth/spreadsheets"]
         )
         spreadsheet_id: str = SchemaField(
-            description="The ID of the spreadsheet to write to",
+            description="The ID or URL of the spreadsheet to write to",
+            title="Spreadsheet ID or URL",
         )
         range: str = SchemaField(
             description="The A1 notation of the range to write",
@@ -128,7 +304,7 @@ def __init__(self):
             categories={BlockCategory.DATA},
             input_schema=GoogleSheetsWriteBlock.Input,
             output_schema=GoogleSheetsWriteBlock.Output,
-            disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
+            disabled=GOOGLE_SHEETS_DISABLED,
             test_input={
                 "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
                 "range": "Sheet1!A1:B2",
@@ -154,13 +330,15 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
     ) -> BlockOutput:
-        service = GoogleSheetsReadBlock._build_service(credentials, **kwargs)
-        result = self._write_sheet(
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._write_sheet,
             service,
-            input_data.spreadsheet_id,
+            spreadsheet_id,
             input_data.range,
             input_data.values,
         )
@@ -182,3 +360,1136 @@ def _write_sheet(
             .execute()
         )
         return result
+
+
+class GoogleSheetsAppendBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="Spreadsheet ID or URL",
+            title="Spreadsheet ID or URL",
+        )
+        sheet_name: str = SchemaField(
+            description="Optional sheet to append to (defaults to first sheet)",
+            default="",
+        )
+        values: list[list[str]] = SchemaField(
+            description="Rows to append as list of rows (list[list[str]])",
+            default=[],
+        )
+        dict_values: list[dict[str, Any]] = SchemaField(
+            description="Rows to append as list of dictionaries (list[dict])",
+            default=[],
+        )
+        headers: list[str] = SchemaField(
+            description="Column headers to use for ordering dict values (required when dict_values is provided)",
+            default=[],
+        )
+        range: str = SchemaField(
+            description="Range to append to (e.g. 'A:A' for column A only, 'A:C' for columns A-C, or leave empty for unlimited columns). When empty, data will span as many columns as needed.",
+            default="",
+            advanced=True,
+        )
+        value_input_option: ValueInputOption = SchemaField(
+            description="How input data should be interpreted",
+            default=ValueInputOption.USER_ENTERED,
+            advanced=True,
+        )
+        insert_data_option: InsertDataOption = SchemaField(
+            description="How new data should be inserted",
+            default=InsertDataOption.INSERT_ROWS,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(description="Append API response")
+        error: str = SchemaField(description="Error message, if any")
+
+    def __init__(self):
+        super().__init__(
+            id="531d50c0-d6b9-4cf9-a013-7bf783d313c7",
+            description="Append data to a Google Sheet. Use 'values' for list of rows (list[list[str]]) or 'dict_values' with 'headers' for list of dictionaries (list[dict]). Data is added to the next empty row without overwriting existing content. Leave range empty for unlimited columns, or specify range like 'A:A' to constrain to specific columns.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsAppendBlock.Input,
+            output_schema=GoogleSheetsAppendBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "values": [["Charlie", "95"]],
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("result", {"updatedCells": 2, "updatedColumns": 2, "updatedRows": 1}),
+            ],
+            test_mock={
+                "_append_sheet": lambda *args, **kwargs: {
+                    "updatedCells": 2,
+                    "updatedColumns": 2,
+                    "updatedRows": 1,
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        # Determine which values to use and convert if needed
+        processed_values: list[list[str]]
+
+        # Validate that only one format is provided
+        if input_data.values and input_data.dict_values:
+            raise ValueError("Provide either 'values' or 'dict_values', not both")
+
+        if input_data.dict_values:
+            if not input_data.headers:
+                raise ValueError("Headers are required when using dict_values")
+            processed_values = _convert_dicts_to_rows(
+                input_data.dict_values, input_data.headers
+            )
+        elif input_data.values:
+            processed_values = input_data.values
+        else:
+            raise ValueError("Either 'values' or 'dict_values' must be provided")
+
+        result = await asyncio.to_thread(
+            self._append_sheet,
+            service,
+            spreadsheet_id,
+            input_data.sheet_name,
+            processed_values,
+            input_data.range,
+            input_data.value_input_option,
+            input_data.insert_data_option,
+        )
+        yield "result", result
+
+    def _append_sheet(
+        self,
+        service,
+        spreadsheet_id: str,
+        sheet_name: str,
+        values: list[list[str]],
+        range: str,
+        value_input_option: ValueInputOption,
+        insert_data_option: InsertDataOption,
+    ) -> dict:
+        target_sheet = resolve_sheet_name(service, spreadsheet_id, sheet_name)
+        formatted_sheet = format_sheet_name(target_sheet)
+        # If no range specified, use A1 to let Google Sheets find the next empty row with unlimited columns
+        # If range specified, use it to constrain columns (e.g., A:A for column A only)
+        if range:
+            append_range = f"{formatted_sheet}!{range}"
+        else:
+            # Use A1 as starting point for unlimited columns - Google Sheets will find next empty row
+            append_range = f"{formatted_sheet}!A1"
+        body = {"values": values}
+        return (
+            service.spreadsheets()
+            .values()
+            .append(
+                spreadsheetId=spreadsheet_id,
+                range=append_range,
+                valueInputOption=value_input_option.value,
+                insertDataOption=insert_data_option.value,
+                body=body,
+            )
+            .execute()
+        )
+
+
+class GoogleSheetsClearBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="The ID or URL of the spreadsheet to clear",
+            title="Spreadsheet ID or URL",
+        )
+        range: str = SchemaField(
+            description="The A1 notation of the range to clear",
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(
+            description="The result of the clear operation",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="84938266-0fc7-46e5-9369-adb0f6ae8015",
+            description="This block clears data from a specified range in a Google Sheets spreadsheet.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsClearBlock.Input,
+            output_schema=GoogleSheetsClearBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "range": "Sheet1!A1:B2",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("result", {"clearedRange": "Sheet1!A1:B2"}),
+            ],
+            test_mock={
+                "_clear_range": lambda *args, **kwargs: {
+                    "clearedRange": "Sheet1!A1:B2"
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._clear_range,
+            service,
+            spreadsheet_id,
+            input_data.range,
+        )
+        yield "result", result
+
+    def _clear_range(self, service, spreadsheet_id: str, range: str) -> dict:
+        result = (
+            service.spreadsheets()
+            .values()
+            .clear(spreadsheetId=spreadsheet_id, range=range)
+            .execute()
+        )
+        return result
+
+
+class GoogleSheetsMetadataBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets.readonly"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="The ID or URL of the spreadsheet to get metadata for",
+            title="Spreadsheet ID or URL",
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(
+            description="The metadata of the spreadsheet including sheets info",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="6a0be6ee-7a0d-4c92-819b-500630846ad0",
+            description="This block retrieves metadata about a Google Sheets spreadsheet including sheet names and properties.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsMetadataBlock.Input,
+            output_schema=GoogleSheetsMetadataBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "result",
+                    {
+                        "title": "Test Spreadsheet",
+                        "sheets": [{"title": "Sheet1", "sheetId": 0}],
+                    },
+                ),
+            ],
+            test_mock={
+                "_get_metadata": lambda *args, **kwargs: {
+                    "title": "Test Spreadsheet",
+                    "sheets": [{"title": "Sheet1", "sheetId": 0}],
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._get_metadata,
+            service,
+            spreadsheet_id,
+        )
+        yield "result", result
+
+    def _get_metadata(self, service, spreadsheet_id: str) -> dict:
+        result = (
+            service.spreadsheets()
+            .get(spreadsheetId=spreadsheet_id, includeGridData=False)
+            .execute()
+        )
+        return {
+            "title": result.get("properties", {}).get("title"),
+            "sheets": [
+                {
+                    "title": sheet.get("properties", {}).get("title"),
+                    "sheetId": sheet.get("properties", {}).get("sheetId"),
+                    "gridProperties": sheet.get("properties", {}).get(
+                        "gridProperties", {}
+                    ),
+                }
+                for sheet in result.get("sheets", [])
+            ],
+        }
+
+
+class GoogleSheetsManageSheetBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="Spreadsheet ID or URL",
+            title="Spreadsheet ID or URL",
+        )
+        operation: SheetOperation = SchemaField(description="Operation to perform")
+        sheet_name: str = SchemaField(
+            description="Target sheet name (defaults to first sheet for delete)",
+            default="",
+        )
+        source_sheet_id: int = SchemaField(
+            description="Source sheet ID for copy", default=0
+        )
+        destination_sheet_name: str = SchemaField(
+            description="New sheet name for copy", default=""
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(description="Operation result")
+        error: str = SchemaField(description="Error message, if any")
+
+    def __init__(self):
+        super().__init__(
+            id="7940189d-b137-4ef1-aa18-3dd9a5bde9f3",
+            description="Create, delete, or copy sheets (sheet optional)",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsManageSheetBlock.Input,
+            output_schema=GoogleSheetsManageSheetBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "operation": SheetOperation.CREATE,
+                "sheet_name": "NewSheet",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("result", {"success": True, "sheetId": 123})],
+            test_mock={
+                "_manage_sheet": lambda *args, **kwargs: {
+                    "success": True,
+                    "sheetId": 123,
+                }
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._manage_sheet,
+            service,
+            spreadsheet_id,
+            input_data.operation,
+            input_data.sheet_name,
+            input_data.source_sheet_id,
+            input_data.destination_sheet_name,
+        )
+        yield "result", result
+
+    def _manage_sheet(
+        self,
+        service,
+        spreadsheet_id: str,
+        operation: SheetOperation,
+        sheet_name: str,
+        source_sheet_id: int,
+        destination_sheet_name: str,
+    ) -> dict:
+        requests = []
+
+        # Ensure a target sheet name when needed
+        target_name = resolve_sheet_name(service, spreadsheet_id, sheet_name)
+
+        if operation == SheetOperation.CREATE:
+            requests.append({"addSheet": {"properties": {"title": target_name}}})
+        elif operation == SheetOperation.DELETE:
+            sid = sheet_id_by_name(service, spreadsheet_id, target_name)
+            if sid is None:
+                return {"error": f"Sheet '{target_name}' not found"}
+            requests.append({"deleteSheet": {"sheetId": sid}})
+        elif operation == SheetOperation.COPY:
+            requests.append(
+                {
+                    "duplicateSheet": {
+                        "sourceSheetId": source_sheet_id,
+                        "newSheetName": destination_sheet_name
+                        or f"Copy of {source_sheet_id}",
+                    }
+                }
+            )
+        else:
+            return {"error": f"Unknown operation: {operation}"}
+
+        body = {"requests": requests}
+        result = (
+            service.spreadsheets()
+            .batchUpdate(spreadsheetId=spreadsheet_id, body=body)
+            .execute()
+        )
+        return {"success": True, "result": result}
+
+
+class GoogleSheetsBatchOperationsBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="The ID or URL of the spreadsheet to perform batch operations on",
+            title="Spreadsheet ID or URL",
+        )
+        operations: list[BatchOperation] = SchemaField(
+            description="List of operations to perform",
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(
+            description="The result of the batch operations",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="a4078584-6fe5-46e0-997e-d5126cdd112a",
+            description="This block performs multiple operations on a Google Sheets spreadsheet in a single batch request.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsBatchOperationsBlock.Input,
+            output_schema=GoogleSheetsBatchOperationsBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "operations": [
+                    {
+                        "type": BatchOperationType.UPDATE,
+                        "range": "A1:B1",
+                        "values": [["Header1", "Header2"]],
+                    },
+                    {
+                        "type": BatchOperationType.UPDATE,
+                        "range": "A2:B2",
+                        "values": [["Data1", "Data2"]],
+                    },
+                ],
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("result", {"totalUpdatedCells": 4, "replies": []}),
+            ],
+            test_mock={
+                "_batch_operations": lambda *args, **kwargs: {
+                    "totalUpdatedCells": 4,
+                    "replies": [],
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._batch_operations,
+            service,
+            spreadsheet_id,
+            input_data.operations,
+        )
+        yield "result", result
+
+    def _batch_operations(
+        self, service, spreadsheet_id: str, operations: list[BatchOperation]
+    ) -> dict:
+        update_data = []
+        clear_ranges = []
+
+        for op in operations:
+            if op.type == BatchOperationType.UPDATE:
+                update_data.append(
+                    {
+                        "range": op.range,
+                        "values": op.values,
+                    }
+                )
+            elif op.type == BatchOperationType.CLEAR:
+                clear_ranges.append(op.range)
+
+        results = {}
+
+        # Perform updates if any
+        if update_data:
+            update_body = {
+                "valueInputOption": "USER_ENTERED",
+                "data": update_data,
+            }
+            update_result = (
+                service.spreadsheets()
+                .values()
+                .batchUpdate(spreadsheetId=spreadsheet_id, body=update_body)
+                .execute()
+            )
+            results["updateResult"] = update_result
+
+        # Perform clears if any
+        if clear_ranges:
+            clear_body = {"ranges": clear_ranges}
+            clear_result = (
+                service.spreadsheets()
+                .values()
+                .batchClear(spreadsheetId=spreadsheet_id, body=clear_body)
+                .execute()
+            )
+            results["clearResult"] = clear_result
+
+        return results
+
+
+class GoogleSheetsFindReplaceBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="The ID or URL of the spreadsheet to perform find/replace on",
+            title="Spreadsheet ID or URL",
+        )
+        find_text: str = SchemaField(
+            description="The text to find",
+        )
+        replace_text: str = SchemaField(
+            description="The text to replace with",
+        )
+        sheet_id: int = SchemaField(
+            description="The ID of the specific sheet to search (optional, searches all sheets if not provided)",
+            default=-1,
+        )
+        match_case: bool = SchemaField(
+            description="Whether to match case",
+            default=False,
+        )
+        match_entire_cell: bool = SchemaField(
+            description="Whether to match entire cell",
+            default=False,
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(
+            description="The result of the find/replace operation including number of replacements",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="accca760-8174-4656-b55e-5f0e82fee986",
+            description="This block finds and replaces text in a Google Sheets spreadsheet.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsFindReplaceBlock.Input,
+            output_schema=GoogleSheetsFindReplaceBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "find_text": "old_value",
+                "replace_text": "new_value",
+                "match_case": False,
+                "match_entire_cell": False,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("result", {"occurrencesChanged": 5}),
+            ],
+            test_mock={
+                "_find_replace": lambda *args, **kwargs: {"occurrencesChanged": 5},
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._find_replace,
+            service,
+            spreadsheet_id,
+            input_data.find_text,
+            input_data.replace_text,
+            input_data.sheet_id,
+            input_data.match_case,
+            input_data.match_entire_cell,
+        )
+        yield "result", result
+
+    def _find_replace(
+        self,
+        service,
+        spreadsheet_id: str,
+        find_text: str,
+        replace_text: str,
+        sheet_id: int,
+        match_case: bool,
+        match_entire_cell: bool,
+    ) -> dict:
+        find_replace_request = {
+            "find": find_text,
+            "replacement": replace_text,
+            "matchCase": match_case,
+            "matchEntireCell": match_entire_cell,
+        }
+
+        if sheet_id >= 0:
+            find_replace_request["sheetId"] = sheet_id
+
+        requests = [{"findReplace": find_replace_request}]
+        body = {"requests": requests}
+
+        result = (
+            service.spreadsheets()
+            .batchUpdate(spreadsheetId=spreadsheet_id, body=body)
+            .execute()
+        )
+
+        return result
+
+
+class GoogleSheetsFindBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets.readonly"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="The ID or URL of the spreadsheet to search in",
+            title="Spreadsheet ID or URL",
+        )
+        find_text: str = SchemaField(
+            description="The text to find",
+        )
+        sheet_id: int = SchemaField(
+            description="The ID of the specific sheet to search (optional, searches all sheets if not provided)",
+            default=-1,
+        )
+        match_case: bool = SchemaField(
+            description="Whether to match case",
+            default=False,
+        )
+        match_entire_cell: bool = SchemaField(
+            description="Whether to match entire cell",
+            default=False,
+        )
+        find_all: bool = SchemaField(
+            description="Whether to find all occurrences (true) or just the first one (false)",
+            default=True,
+        )
+        range: str = SchemaField(
+            description="The A1 notation range to search in (optional, searches entire sheet if not provided)",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(
+            description="The result of the find operation including locations and count",
+        )
+        locations: list[dict] = SchemaField(
+            description="List of cell locations where the text was found",
+        )
+        count: int = SchemaField(
+            description="Number of occurrences found",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="0f4ecc72-b958-47b2-b65e-76d6d26b9b27",
+            description="Find text in a Google Sheets spreadsheet. Returns locations and count of occurrences. Can find all occurrences or just the first one.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsFindBlock.Input,
+            output_schema=GoogleSheetsFindBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "find_text": "search_value",
+                "match_case": False,
+                "match_entire_cell": False,
+                "find_all": True,
+                "range": "Sheet1!A1:C10",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("count", 3),
+                (
+                    "locations",
+                    [
+                        {"sheet": "Sheet1", "row": 2, "column": 1, "address": "A2"},
+                        {"sheet": "Sheet1", "row": 5, "column": 3, "address": "C5"},
+                        {"sheet": "Sheet2", "row": 1, "column": 2, "address": "B1"},
+                    ],
+                ),
+                ("result", {"success": True}),
+            ],
+            test_mock={
+                "_find_text": lambda *args, **kwargs: {
+                    "locations": [
+                        {"sheet": "Sheet1", "row": 2, "column": 1, "address": "A2"},
+                        {"sheet": "Sheet1", "row": 5, "column": 3, "address": "C5"},
+                        {"sheet": "Sheet2", "row": 1, "column": 2, "address": "B1"},
+                    ],
+                    "count": 3,
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._find_text,
+            service,
+            spreadsheet_id,
+            input_data.find_text,
+            input_data.sheet_id,
+            input_data.match_case,
+            input_data.match_entire_cell,
+            input_data.find_all,
+            input_data.range,
+        )
+        yield "count", result["count"]
+        yield "locations", result["locations"]
+        yield "result", {"success": True}
+
+    def _find_text(
+        self,
+        service,
+        spreadsheet_id: str,
+        find_text: str,
+        sheet_id: int,
+        match_case: bool,
+        match_entire_cell: bool,
+        find_all: bool,
+        range: str,
+    ) -> dict:
+        # Unfortunately, Google Sheets API doesn't have a dedicated "find-only" operation
+        # that returns cell locations. The findReplace operation only returns a count.
+        # So we need to search through the values manually to get location details.
+
+        locations = []
+        search_range = range if range else None
+
+        if not search_range:
+            # If no range specified, search entire spreadsheet
+            meta = service.spreadsheets().get(spreadsheetId=spreadsheet_id).execute()
+            sheets = meta.get("sheets", [])
+
+            # Filter to specific sheet if provided
+            if sheet_id >= 0:
+                sheets = [
+                    s
+                    for s in sheets
+                    if s.get("properties", {}).get("sheetId") == sheet_id
+                ]
+
+            # Search each sheet
+            for sheet in sheets:
+                sheet_name = sheet.get("properties", {}).get("title", "")
+                sheet_range = f"'{sheet_name}'"
+                self._search_range(
+                    service,
+                    spreadsheet_id,
+                    sheet_range,
+                    sheet_name,
+                    find_text,
+                    match_case,
+                    match_entire_cell,
+                    find_all,
+                    locations,
+                )
+                if not find_all and locations:
+                    break
+        else:
+            # Search specific range
+            sheet_name, cell_range = parse_a1_notation(search_range)
+            if not sheet_name:
+                # Get first sheet name if not specified
+                meta = (
+                    service.spreadsheets().get(spreadsheetId=spreadsheet_id).execute()
+                )
+                sheet_name = (
+                    meta.get("sheets", [{}])[0]
+                    .get("properties", {})
+                    .get("title", "Sheet1")
+                )
+                search_range = f"'{sheet_name}'!{search_range}"
+
+            self._search_range(
+                service,
+                spreadsheet_id,
+                search_range,
+                sheet_name,
+                find_text,
+                match_case,
+                match_entire_cell,
+                find_all,
+                locations,
+            )
+
+        return {"locations": locations, "count": len(locations)}
+
+    def _search_range(
+        self,
+        service,
+        spreadsheet_id: str,
+        range_name: str,
+        sheet_name: str,
+        find_text: str,
+        match_case: bool,
+        match_entire_cell: bool,
+        find_all: bool,
+        locations: list,
+    ):
+        """Search within a specific range and add results to locations list."""
+        values_result = (
+            service.spreadsheets()
+            .values()
+            .get(spreadsheetId=spreadsheet_id, range=range_name)
+            .execute()
+        )
+        values = values_result.get("values", [])
+
+        # Parse range to get starting position
+        _, cell_range = parse_a1_notation(range_name)
+        start_col = 0
+        start_row = 0
+
+        if cell_range and ":" in cell_range:
+            start_cell = cell_range.split(":")[0]
+            # Parse A1 notation (e.g., "B3" -> col=1, row=2)
+            col_part = ""
+            row_part = ""
+            for char in start_cell:
+                if char.isalpha():
+                    col_part += char
+                elif char.isdigit():
+                    row_part += char
+
+            if col_part:
+                start_col = ord(col_part.upper()) - ord("A")
+            if row_part:
+                start_row = int(row_part) - 1
+
+        # Search through values
+        for row_idx, row in enumerate(values):
+            for col_idx, cell_value in enumerate(row):
+                if cell_value is None:
+                    continue
+
+                cell_str = str(cell_value)
+
+                # Apply search criteria
+                search_text = find_text if match_case else find_text.lower()
+                cell_text = cell_str if match_case else cell_str.lower()
+
+                found = False
+                if match_entire_cell:
+                    found = cell_text == search_text
+                else:
+                    found = search_text in cell_text
+
+                if found:
+                    # Calculate actual spreadsheet position
+                    actual_row = start_row + row_idx + 1
+                    actual_col = start_col + col_idx + 1
+                    col_letter = chr(ord("A") + start_col + col_idx)
+                    address = f"{col_letter}{actual_row}"
+
+                    location = {
+                        "sheet": sheet_name,
+                        "row": actual_row,
+                        "column": actual_col,
+                        "address": address,
+                        "value": cell_str,
+                    }
+                    locations.append(location)
+
+                    # Stop after first match if find_all is False
+                    if not find_all:
+                        return
+
+
+class GoogleSheetsFormatBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        spreadsheet_id: str = SchemaField(
+            description="Spreadsheet ID or URL",
+            title="Spreadsheet ID or URL",
+        )
+        range: str = SchemaField(description="A1 notation – sheet optional")
+        background_color: dict = SchemaField(default={})
+        text_color: dict = SchemaField(default={})
+        bold: bool = SchemaField(default=False)
+        italic: bool = SchemaField(default=False)
+        font_size: int = SchemaField(default=10)
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(description="API response or success flag")
+        error: str = SchemaField(description="Error message, if any")
+
+    def __init__(self):
+        super().__init__(
+            id="270f2384-8089-4b5b-b2e3-fe2ea3d87c02",
+            description="Format a range in a Google Sheet (sheet optional)",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsFormatBlock.Input,
+            output_schema=GoogleSheetsFormatBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "spreadsheet_id": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                "range": "A1:B2",
+                "background_color": {"red": 1.0, "green": 0.9, "blue": 0.9},
+                "bold": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("result", {"success": True})],
+            test_mock={"_format_cells": lambda *args, **kwargs: {"success": True}},
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        spreadsheet_id = extract_spreadsheet_id(input_data.spreadsheet_id)
+        result = await asyncio.to_thread(
+            self._format_cells,
+            service,
+            spreadsheet_id,
+            input_data.range,
+            input_data.background_color,
+            input_data.text_color,
+            input_data.bold,
+            input_data.italic,
+            input_data.font_size,
+        )
+        if "error" in result:
+            yield "error", result["error"]
+        else:
+            yield "result", result
+
+    def _format_cells(
+        self,
+        service,
+        spreadsheet_id: str,
+        a1_range: str,
+        background_color: dict,
+        text_color: dict,
+        bold: bool,
+        italic: bool,
+        font_size: int,
+    ) -> dict:
+        sheet_name, cell_range = parse_a1_notation(a1_range)
+        sheet_name = resolve_sheet_name(service, spreadsheet_id, sheet_name)
+
+        sheet_id = sheet_id_by_name(service, spreadsheet_id, sheet_name)
+        if sheet_id is None:
+            return {"error": f"Sheet '{sheet_name}' not found"}
+
+        try:
+            start_cell, end_cell = cell_range.split(":")
+            start_col = ord(start_cell[0].upper()) - ord("A")
+            start_row = int(start_cell[1:]) - 1
+            end_col = ord(end_cell[0].upper()) - ord("A") + 1
+            end_row = int(end_cell[1:])
+        except (ValueError, IndexError):
+            return {"error": f"Invalid range format: {a1_range}"}
+
+        cell_format: dict = {"userEnteredFormat": {}}
+        if background_color:
+            cell_format["userEnteredFormat"]["backgroundColor"] = background_color
+
+        text_format: dict = {}
+        if text_color:
+            text_format["foregroundColor"] = text_color
+        if bold:
+            text_format["bold"] = True
+        if italic:
+            text_format["italic"] = True
+        if font_size != 10:
+            text_format["fontSize"] = font_size
+        if text_format:
+            cell_format["userEnteredFormat"]["textFormat"] = text_format
+
+        body = {
+            "requests": [
+                {
+                    "repeatCell": {
+                        "range": {
+                            "sheetId": sheet_id,
+                            "startRowIndex": start_row,
+                            "endRowIndex": end_row,
+                            "startColumnIndex": start_col,
+                            "endColumnIndex": end_col,
+                        },
+                        "cell": cell_format,
+                        "fields": "userEnteredFormat(backgroundColor,textFormat)",
+                    }
+                }
+            ]
+        }
+
+        service.spreadsheets().batchUpdate(
+            spreadsheetId=spreadsheet_id, body=body
+        ).execute()
+        return {"success": True}
+
+
+class GoogleSheetsCreateSpreadsheetBlock(Block):
+    class Input(BlockSchema):
+        credentials: GoogleCredentialsInput = GoogleCredentialsField(
+            ["https://www.googleapis.com/auth/spreadsheets"]
+        )
+        title: str = SchemaField(
+            description="The title of the new spreadsheet",
+        )
+        sheet_names: list[str] = SchemaField(
+            description="List of sheet names to create (optional, defaults to single 'Sheet1')",
+            default=["Sheet1"],
+        )
+
+    class Output(BlockSchema):
+        result: dict = SchemaField(
+            description="The result containing spreadsheet ID and URL",
+        )
+        spreadsheet_id: str = SchemaField(
+            description="The ID of the created spreadsheet",
+        )
+        spreadsheet_url: str = SchemaField(
+            description="The URL of the created spreadsheet",
+        )
+        error: str = SchemaField(
+            description="Error message if any",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="c8d4c0d3-c76e-4c2a-8c66-4119817ea3d1",
+            description="This block creates a new Google Sheets spreadsheet with specified sheets.",
+            categories={BlockCategory.DATA},
+            input_schema=GoogleSheetsCreateSpreadsheetBlock.Input,
+            output_schema=GoogleSheetsCreateSpreadsheetBlock.Output,
+            disabled=GOOGLE_SHEETS_DISABLED,
+            test_input={
+                "title": "Test Spreadsheet",
+                "sheet_names": ["Sheet1", "Data", "Summary"],
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("spreadsheet_id", "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"),
+                (
+                    "spreadsheet_url",
+                    "https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit",
+                ),
+                ("result", {"success": True}),
+            ],
+            test_mock={
+                "_create_spreadsheet": lambda *args, **kwargs: {
+                    "spreadsheetId": "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms",
+                    "spreadsheetUrl": "https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit",
+                },
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: GoogleCredentials, **kwargs
+    ) -> BlockOutput:
+        service = _build_sheets_service(credentials)
+        result = await asyncio.to_thread(
+            self._create_spreadsheet,
+            service,
+            input_data.title,
+            input_data.sheet_names,
+        )
+
+        if "error" in result:
+            yield "error", result["error"]
+        else:
+            yield "spreadsheet_id", result["spreadsheetId"]
+            yield "spreadsheet_url", result["spreadsheetUrl"]
+            yield "result", {"success": True}
+
+    def _create_spreadsheet(self, service, title: str, sheet_names: list[str]) -> dict:
+        try:
+            # Create the initial spreadsheet
+            spreadsheet_body = {
+                "properties": {"title": title},
+                "sheets": [
+                    {
+                        "properties": {
+                            "title": sheet_names[0] if sheet_names else "Sheet1"
+                        }
+                    }
+                ],
+            }
+
+            result = service.spreadsheets().create(body=spreadsheet_body).execute()
+            spreadsheet_id = result["spreadsheetId"]
+            spreadsheet_url = result["spreadsheetUrl"]
+
+            # Add additional sheets if requested
+            if len(sheet_names) > 1:
+                requests = []
+                for sheet_name in sheet_names[1:]:
+                    requests.append({"addSheet": {"properties": {"title": sheet_name}}})
+
+                if requests:
+                    batch_body = {"requests": requests}
+                    service.spreadsheets().batchUpdate(
+                        spreadsheetId=spreadsheet_id, body=batch_body
+                    ).execute()
+
+            return {
+                "spreadsheetId": spreadsheet_id,
+                "spreadsheetUrl": spreadsheet_url,
+            }
+        except Exception as e:
+            return {"error": str(e)}
diff --git a/autogpt_platform/backend/backend/blocks/google_maps.py b/autogpt_platform/backend/backend/blocks/google_maps.py
index 9e7f79353123..01e81c69c940 100644
--- a/autogpt_platform/backend/backend/blocks/google_maps.py
+++ b/autogpt_platform/backend/backend/blocks/google_maps.py
@@ -103,7 +103,7 @@ def __init__(self):
             test_credentials=TEST_CREDENTIALS,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         places = self.search_places(
diff --git a/autogpt_platform/backend/backend/blocks/helpers/http.py b/autogpt_platform/backend/backend/blocks/helpers/http.py
index 33579ba0d9c9..f68b9f5a8b0c 100644
--- a/autogpt_platform/backend/backend/blocks/helpers/http.py
+++ b/autogpt_platform/backend/backend/blocks/helpers/http.py
@@ -1,14 +1,17 @@
 from typing import Any, Optional
 
-from backend.util.request import requests
+from backend.util.request import Requests
 
 
 class GetRequest:
     @classmethod
-    def get_request(
+    async def get_request(
         cls, url: str, headers: Optional[dict] = None, json: bool = False
     ) -> Any:
         if headers is None:
             headers = {}
-        response = requests.get(url, headers=headers)
-        return response.json() if json else response.text
+        response = await Requests().get(url, headers=headers)
+        if json:
+            return response.json()
+        else:
+            return response.text()
diff --git a/autogpt_platform/backend/backend/blocks/http.py b/autogpt_platform/backend/backend/blocks/http.py
index 2adb05830960..c07c1ca5089d 100644
--- a/autogpt_platform/backend/backend/blocks/http.py
+++ b/autogpt_platform/backend/backend/blocks/http.py
@@ -1,10 +1,54 @@
 import json
+import logging
 from enum import Enum
-from typing import Any
+from io import BytesIO
+from pathlib import Path
+from typing import Literal
+
+import aiofiles
+from pydantic import SecretStr
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import SchemaField
-from backend.util.request import requests
+from backend.data.model import (
+    CredentialsField,
+    CredentialsMetaInput,
+    HostScopedCredentials,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+from backend.util.file import (
+    MediaFileType,
+    get_exec_file_path,
+    get_mime_type,
+    store_media_file,
+)
+from backend.util.request import Requests
+
+logger = logging.getLogger(name=__name__)
+
+
+# Host-scoped credentials for HTTP requests
+HttpCredentials = CredentialsMetaInput[
+    Literal[ProviderName.HTTP], Literal["host_scoped"]
+]
+
+
+TEST_CREDENTIALS = HostScopedCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="http",
+    host="api.example.com",
+    headers={
+        "Authorization": SecretStr("Bearer test-token"),
+        "X-API-Key": SecretStr("test-api-key"),
+    },
+    title="Mock HTTP Host-Scoped Credentials",
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
 
 
 class HttpMethod(Enum):
@@ -29,50 +73,192 @@ class Input(BlockSchema):
         )
         headers: dict[str, str] = SchemaField(
             description="The headers to include in the request",
-            default={},
+            default_factory=dict,
         )
         json_format: bool = SchemaField(
             title="JSON format",
-            description="Whether to send and receive body as JSON",
+            description="If true, send the body as JSON (unless files are also present).",
             default=True,
         )
-        body: Any = SchemaField(
-            description="The body of the request",
+        body: dict | None = SchemaField(
+            description="Form/JSON body payload. If files are supplied, this must be a mapping of form‑fields.",
             default=None,
         )
+        files_name: str = SchemaField(
+            description="The name of the file field in the form data.",
+            default="file",
+        )
+        files: list[MediaFileType] = SchemaField(
+            description="Mapping of *form field name* → Image url / path / base64 url.",
+            default_factory=list,
+        )
 
     class Output(BlockSchema):
         response: object = SchemaField(description="The response from the server")
-        client_error: object = SchemaField(description="The error on 4xx status codes")
-        server_error: object = SchemaField(description="The error on 5xx status codes")
+        client_error: object = SchemaField(description="Errors on 4xx status codes")
+        server_error: object = SchemaField(description="Errors on 5xx status codes")
+        error: str = SchemaField(description="Errors for all other exceptions")
 
     def __init__(self):
         super().__init__(
             id="6595ae1f-b924-42cb-9a41-551a0611c4b4",
-            description="This block makes an HTTP request to the given URL.",
+            description="Make an HTTP request (JSON / form / multipart).",
             categories={BlockCategory.OUTPUT},
             input_schema=SendWebRequestBlock.Input,
             output_schema=SendWebRequestBlock.Output,
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        if isinstance(input_data.body, str):
-            input_data.body = json.loads(input_data.body)
+    @staticmethod
+    async def _prepare_files(
+        graph_exec_id: str,
+        files_name: str,
+        files: list[MediaFileType],
+        user_id: str,
+    ) -> list[tuple[str, tuple[str, BytesIO, str]]]:
+        """
+        Prepare files for the request by storing them and reading their content.
+        Returns a list of tuples in the format:
+        (files_name, (filename, BytesIO, mime_type))
+        """
+        files_payload: list[tuple[str, tuple[str, BytesIO, str]]] = []
+
+        for media in files:
+            # Normalise to a list so we can repeat the same key
+            rel_path = await store_media_file(
+                graph_exec_id, media, user_id, return_content=False
+            )
+            abs_path = get_exec_file_path(graph_exec_id, rel_path)
+            async with aiofiles.open(abs_path, "rb") as f:
+                content = await f.read()
+                handle = BytesIO(content)
+                mime = get_mime_type(abs_path)
+                files_payload.append((files_name, (Path(abs_path).name, handle, mime)))
 
-        response = requests.request(
+        return files_payload
+
+    async def run(
+        self, input_data: Input, *, graph_exec_id: str, user_id: str, **kwargs
+    ) -> BlockOutput:
+        # ─── Parse/normalise body ────────────────────────────────────
+        body = input_data.body
+        if isinstance(body, str):
+            try:
+                # Validate JSON string length to prevent DoS attacks
+                if len(body) > 10_000_000:  # 10MB limit
+                    raise ValueError("JSON body too large")
+
+                parsed_body = json.loads(body)
+
+                # Validate that parsed JSON is safe (basic object/array/primitive types)
+                if (
+                    isinstance(parsed_body, (dict, list, str, int, float, bool))
+                    or parsed_body is None
+                ):
+                    body = parsed_body
+                else:
+                    # Unexpected type, treat as plain text
+                    input_data.json_format = False
+
+            except (json.JSONDecodeError, ValueError):
+                # Invalid JSON or too large – treat as form‑field value instead
+                input_data.json_format = False
+
+        # ─── Prepare files (if any) ──────────────────────────────────
+        use_files = bool(input_data.files)
+        files_payload: list[tuple[str, tuple[str, BytesIO, str]]] = []
+        if use_files:
+            files_payload = await self._prepare_files(
+                graph_exec_id, input_data.files_name, input_data.files, user_id
+            )
+
+        # Enforce body format rules
+        if use_files and input_data.json_format:
+            raise ValueError(
+                "json_format=True cannot be combined with file uploads; set json_format=False and put form fields in `body`."
+            )
+
+        # ─── Execute request ─────────────────────────────────────────
+        response = await Requests().request(
             input_data.method.value,
             input_data.url,
             headers=input_data.headers,
-            json=input_data.body if input_data.json_format else None,
-            data=input_data.body if not input_data.json_format else None,
+            files=files_payload if use_files else None,
+            # * If files → multipart ⇒ pass form‑fields via data=
+            data=body if not input_data.json_format else None,
+            # * Else, choose JSON vs url‑encoded based on flag
+            json=body if (input_data.json_format and not use_files) else None,
         )
-        result = response.json() if input_data.json_format else response.text
 
-        if response.status_code // 100 == 2:
+        # Decide how to parse the response
+        if response.headers.get("content-type", "").startswith("application/json"):
+            result = None if response.status == 204 else response.json()
+        else:
+            result = response.text()
+
+        # Yield according to status code bucket
+        if 200 <= response.status < 300:
             yield "response", result
-        elif response.status_code // 100 == 4:
+        elif 400 <= response.status < 500:
             yield "client_error", result
-        elif response.status_code // 100 == 5:
+        else:
             yield "server_error", result
+
+
+class SendAuthenticatedWebRequestBlock(SendWebRequestBlock):
+    class Input(SendWebRequestBlock.Input):
+        credentials: HttpCredentials = CredentialsField(
+            description="HTTP host-scoped credentials for automatic header injection",
+            discriminator="url",
+        )
+
+    def __init__(self):
+        Block.__init__(
+            self,
+            id="fff86bcd-e001-4bad-a7f6-2eae4720c8dc",
+            description="Make an authenticated HTTP request with host-scoped credentials (JSON / form / multipart).",
+            categories={BlockCategory.OUTPUT},
+            input_schema=SendAuthenticatedWebRequestBlock.Input,
+            output_schema=SendWebRequestBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def run(  # type: ignore[override]
+        self,
+        input_data: Input,
+        *,
+        graph_exec_id: str,
+        credentials: HostScopedCredentials,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        # Create SendWebRequestBlock.Input from our input (removing credentials field)
+        base_input = SendWebRequestBlock.Input(
+            url=input_data.url,
+            method=input_data.method,
+            headers=input_data.headers,
+            json_format=input_data.json_format,
+            body=input_data.body,
+            files_name=input_data.files_name,
+            files=input_data.files,
+        )
+
+        # Apply host-scoped credentials to headers
+        extra_headers = {}
+        if credentials.matches_url(input_data.url):
+            logger.debug(
+                f"Applying host-scoped credentials {credentials.id} for URL {input_data.url}"
+            )
+            extra_headers.update(credentials.get_headers_dict())
         else:
-            raise ValueError(f"Unexpected status code: {response.status_code}")
+            logger.warning(
+                f"Host-scoped credentials {credentials.id} do not match URL {input_data.url}"
+            )
+
+        # Merge with user-provided headers (user headers take precedence)
+        base_input.headers = {**extra_headers, **input_data.headers}
+
+        # Use parent class run method
+        async for output_name, output_data in super().run(
+            base_input, graph_exec_id=graph_exec_id, user_id=user_id, **kwargs
+        ):
+            yield output_name, output_data
diff --git a/autogpt_platform/backend/backend/blocks/hubspot/company.py b/autogpt_platform/backend/backend/blocks/hubspot/company.py
index 3e9406103f57..30261122594a 100644
--- a/autogpt_platform/backend/backend/blocks/hubspot/company.py
+++ b/autogpt_platform/backend/backend/blocks/hubspot/company.py
@@ -5,7 +5,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
-from backend.util.request import requests
+from backend.util.request import Requests
 
 
 class HubSpotCompanyBlock(Block):
@@ -15,7 +15,8 @@ class Input(BlockSchema):
             description="Operation to perform (create, update, get)", default="get"
         )
         company_data: dict = SchemaField(
-            description="Company data for create/update operations", default={}
+            description="Company data for create/update operations",
+            default_factory=dict,
         )
         domain: str = SchemaField(
             description="Company domain for get/update operations", default=""
@@ -34,7 +35,7 @@ def __init__(self):
             output_schema=HubSpotCompanyBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: HubSpotCredentials, **kwargs
     ) -> BlockOutput:
         base_url = "https://api.hubapi.com/crm/v3/objects/companies"
@@ -44,7 +45,7 @@ def run(
         }
 
         if input_data.operation == "create":
-            response = requests.post(
+            response = await Requests().post(
                 base_url, headers=headers, json={"properties": input_data.company_data}
             )
             result = response.json()
@@ -66,14 +67,16 @@ def run(
                     }
                 ]
             }
-            response = requests.post(search_url, headers=headers, json=search_data)
-            result = response.json()
-            yield "company", result.get("results", [{}])[0]
+            search_response = await Requests().post(
+                search_url, headers=headers, json=search_data
+            )
+            search_result = search_response.json()
+            yield "search_company", search_result.get("results", [{}])[0]
             yield "status", "retrieved"
 
         elif input_data.operation == "update":
             # First get company ID by domain
-            search_response = requests.post(
+            search_response = await Requests().post(
                 f"{base_url}/search",
                 headers=headers,
                 json={
@@ -90,10 +93,11 @@ def run(
                     ]
                 },
             )
-            company_id = search_response.json().get("results", [{}])[0].get("id")
+            search_result = search_response.json()
+            company_id = search_result.get("results", [{}])[0].get("id")
 
             if company_id:
-                response = requests.patch(
+                response = await Requests().patch(
                     f"{base_url}/{company_id}",
                     headers=headers,
                     json={"properties": input_data.company_data},
diff --git a/autogpt_platform/backend/backend/blocks/hubspot/contact.py b/autogpt_platform/backend/backend/blocks/hubspot/contact.py
index e4a01cbb3bd4..2029adaca13f 100644
--- a/autogpt_platform/backend/backend/blocks/hubspot/contact.py
+++ b/autogpt_platform/backend/backend/blocks/hubspot/contact.py
@@ -5,7 +5,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
-from backend.util.request import requests
+from backend.util.request import Requests
 
 
 class HubSpotContactBlock(Block):
@@ -15,7 +15,8 @@ class Input(BlockSchema):
             description="Operation to perform (create, update, get)", default="get"
         )
         contact_data: dict = SchemaField(
-            description="Contact data for create/update operations", default={}
+            description="Contact data for create/update operations",
+            default_factory=dict,
         )
         email: str = SchemaField(
             description="Email address for get/update operations", default=""
@@ -34,7 +35,7 @@ def __init__(self):
             output_schema=HubSpotContactBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: HubSpotCredentials, **kwargs
     ) -> BlockOutput:
         base_url = "https://api.hubapi.com/crm/v3/objects/contacts"
@@ -44,7 +45,7 @@ def run(
         }
 
         if input_data.operation == "create":
-            response = requests.post(
+            response = await Requests().post(
                 base_url, headers=headers, json={"properties": input_data.contact_data}
             )
             result = response.json()
@@ -52,7 +53,6 @@ def run(
             yield "status", "created"
 
         elif input_data.operation == "get":
-            # Search for contact by email
             search_url = f"{base_url}/search"
             search_data = {
                 "filterGroups": [
@@ -67,13 +67,15 @@ def run(
                     }
                 ]
             }
-            response = requests.post(search_url, headers=headers, json=search_data)
+            response = await Requests().post(
+                search_url, headers=headers, json=search_data
+            )
             result = response.json()
             yield "contact", result.get("results", [{}])[0]
             yield "status", "retrieved"
 
         elif input_data.operation == "update":
-            search_response = requests.post(
+            search_response = await Requests().post(
                 f"{base_url}/search",
                 headers=headers,
                 json={
@@ -90,10 +92,11 @@ def run(
                     ]
                 },
             )
-            contact_id = search_response.json().get("results", [{}])[0].get("id")
+            search_result = search_response.json()
+            contact_id = search_result.get("results", [{}])[0].get("id")
 
             if contact_id:
-                response = requests.patch(
+                response = await Requests().patch(
                     f"{base_url}/{contact_id}",
                     headers=headers,
                     json={"properties": input_data.contact_data},
diff --git a/autogpt_platform/backend/backend/blocks/hubspot/engagement.py b/autogpt_platform/backend/backend/blocks/hubspot/engagement.py
index 427cf051d599..7e4dbc3d019d 100644
--- a/autogpt_platform/backend/backend/blocks/hubspot/engagement.py
+++ b/autogpt_platform/backend/backend/blocks/hubspot/engagement.py
@@ -7,7 +7,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
-from backend.util.request import requests
+from backend.util.request import Requests
 
 
 class HubSpotEngagementBlock(Block):
@@ -19,7 +19,7 @@ class Input(BlockSchema):
         )
         email_data: dict = SchemaField(
             description="Email data including recipient, subject, content",
-            default={},
+            default_factory=dict,
         )
         contact_id: str = SchemaField(
             description="Contact ID for engagement tracking", default=""
@@ -27,7 +27,6 @@ class Input(BlockSchema):
         timeframe_days: int = SchemaField(
             description="Number of days to look back for engagement",
             default=30,
-            optional=True,
         )
 
     class Output(BlockSchema):
@@ -43,7 +42,7 @@ def __init__(self):
             output_schema=HubSpotEngagementBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: HubSpotCredentials, **kwargs
     ) -> BlockOutput:
         base_url = "https://api.hubapi.com"
@@ -67,7 +66,9 @@ def run(
                 }
             }
 
-            response = requests.post(email_url, headers=headers, json=email_data)
+            response = await Requests().post(
+                email_url, headers=headers, json=email_data
+            )
             result = response.json()
             yield "result", result
             yield "status", "email_sent"
@@ -81,7 +82,9 @@ def run(
 
             params = {"limit": 100, "after": from_date.isoformat()}
 
-            response = requests.get(engagement_url, headers=headers, params=params)
+            response = await Requests().get(
+                engagement_url, headers=headers, params=params
+            )
             engagements = response.json()
 
             # Process engagement metrics
diff --git a/autogpt_platform/backend/backend/blocks/ideogram.py b/autogpt_platform/backend/backend/blocks/ideogram.py
index 82eb91238b40..ef5aca248921 100644
--- a/autogpt_platform/backend/backend/blocks/ideogram.py
+++ b/autogpt_platform/backend/backend/blocks/ideogram.py
@@ -12,7 +12,7 @@
     SchemaField,
 )
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
@@ -30,6 +30,7 @@
 
 
 class IdeogramModelName(str, Enum):
+    V3 = "V_3"
     V2 = "V_2"
     V1 = "V_1"
     V1_TURBO = "V_1_TURBO"
@@ -95,8 +96,8 @@ class Input(BlockSchema):
             title="Prompt",
         )
         ideogram_model_name: IdeogramModelName = SchemaField(
-            description="The name of the Image Generation Model, e.g., V_2",
-            default=IdeogramModelName.V2,
+            description="The name of the Image Generation Model, e.g., V_3",
+            default=IdeogramModelName.V3,
             title="Image Generation Model",
             advanced=False,
         )
@@ -142,6 +143,16 @@ class Input(BlockSchema):
             title="Color Palette Preset",
             advanced=True,
         )
+        custom_color_palette: Optional[list[str]] = SchemaField(
+            description=(
+                "Only available for model version V_2 or V_2_TURBO. Provide one or more color hex codes "
+                "(e.g., ['#000030', '#1C0C47', '#9900FF', '#4285F4', '#FFFFFF']) to define a custom color "
+                "palette. Only used if 'color_palette_name' is 'NONE'."
+            ),
+            default=None,
+            title="Custom Color Palette",
+            advanced=True,
+        )
 
     class Output(BlockSchema):
         result: str = SchemaField(description="Generated image URL")
@@ -151,7 +162,7 @@ def __init__(self):
         super().__init__(
             id="6ab085e2-20b3-4055-bc3e-08036e01eca6",
             description="This block runs Ideogram models with both simple and advanced settings.",
-            categories={BlockCategory.AI},
+            categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
             input_schema=IdeogramModelBlock.Input,
             output_schema=IdeogramModelBlock.Output,
             test_input={
@@ -164,6 +175,13 @@ def __init__(self):
                 "style_type": StyleType.AUTO,
                 "negative_prompt": None,
                 "color_palette_name": ColorPalettePreset.NONE,
+                "custom_color_palette": [
+                    "#000030",
+                    "#1C0C47",
+                    "#9900FF",
+                    "#4285F4",
+                    "#FFFFFF",
+                ],
                 "credentials": TEST_CREDENTIALS_INPUT,
             },
             test_output=[
@@ -173,19 +191,19 @@ def __init__(self):
                 ),
             ],
             test_mock={
-                "run_model": lambda api_key, model_name, prompt, seed, aspect_ratio, magic_prompt_option, style_type, negative_prompt, color_palette_name: "https://ideogram.ai/api/images/test-generated-image-url.png",
+                "run_model": lambda api_key, model_name, prompt, seed, aspect_ratio, magic_prompt_option, style_type, negative_prompt, color_palette_name, custom_colors: "https://ideogram.ai/api/images/test-generated-image-url.png",
                 "upscale_image": lambda api_key, image_url: "https://ideogram.ai/api/images/test-upscaled-image-url.png",
             },
             test_credentials=TEST_CREDENTIALS,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         seed = input_data.seed
 
         # Step 1: Generate the image
-        result = self.run_model(
+        result = await self.run_model(
             api_key=credentials.api_key,
             model_name=input_data.ideogram_model_name.value,
             prompt=input_data.prompt,
@@ -195,18 +213,19 @@ def run(
             style_type=input_data.style_type.value,
             negative_prompt=input_data.negative_prompt,
             color_palette_name=input_data.color_palette_name.value,
+            custom_colors=input_data.custom_color_palette,
         )
 
         # Step 2: Upscale the image if requested
         if input_data.upscale == UpscaleOption.AI_UPSCALE:
-            result = self.upscale_image(
+            result = await self.upscale_image(
                 api_key=credentials.api_key,
                 image_url=result,
             )
 
         yield "result", result
 
-    def run_model(
+    async def run_model(
         self,
         api_key: SecretStr,
         model_name: str,
@@ -217,6 +236,112 @@ def run_model(
         style_type: str,
         negative_prompt: Optional[str],
         color_palette_name: str,
+        custom_colors: Optional[list[str]],
+    ):
+        # Use V3 endpoint for V3 model, legacy endpoint for others
+        if model_name == "V_3":
+            return await self._run_model_v3(
+                api_key,
+                prompt,
+                seed,
+                aspect_ratio,
+                magic_prompt_option,
+                style_type,
+                negative_prompt,
+                color_palette_name,
+                custom_colors,
+            )
+        else:
+            return await self._run_model_legacy(
+                api_key,
+                model_name,
+                prompt,
+                seed,
+                aspect_ratio,
+                magic_prompt_option,
+                style_type,
+                negative_prompt,
+                color_palette_name,
+                custom_colors,
+            )
+
+    async def _run_model_v3(
+        self,
+        api_key: SecretStr,
+        prompt: str,
+        seed: Optional[int],
+        aspect_ratio: str,
+        magic_prompt_option: str,
+        style_type: str,
+        negative_prompt: Optional[str],
+        color_palette_name: str,
+        custom_colors: Optional[list[str]],
+    ):
+        url = "https://api.ideogram.ai/v1/ideogram-v3/generate"
+        headers = {
+            "Api-Key": api_key.get_secret_value(),
+            "Content-Type": "application/json",
+        }
+
+        # Map legacy aspect ratio values to V3 format
+        aspect_ratio_map = {
+            "ASPECT_10_16": "10x16",
+            "ASPECT_16_10": "16x10",
+            "ASPECT_9_16": "9x16",
+            "ASPECT_16_9": "16x9",
+            "ASPECT_3_2": "3x2",
+            "ASPECT_2_3": "2x3",
+            "ASPECT_4_3": "4x3",
+            "ASPECT_3_4": "3x4",
+            "ASPECT_1_1": "1x1",
+            "ASPECT_1_3": "1x3",
+            "ASPECT_3_1": "3x1",
+            # Additional V3 supported ratios
+            "ASPECT_1_2": "1x2",
+            "ASPECT_2_1": "2x1",
+            "ASPECT_4_5": "4x5",
+            "ASPECT_5_4": "5x4",
+        }
+
+        v3_aspect_ratio = aspect_ratio_map.get(
+            aspect_ratio, "1x1"
+        )  # Default to 1x1 if not found
+
+        # Use JSON for V3 endpoint (simpler than multipart/form-data)
+        data: Dict[str, Any] = {
+            "prompt": prompt,
+            "aspect_ratio": v3_aspect_ratio,
+            "magic_prompt": magic_prompt_option,
+            "style_type": style_type,
+        }
+
+        if seed is not None:
+            data["seed"] = seed
+
+        if negative_prompt:
+            data["negative_prompt"] = negative_prompt
+
+        # Note: V3 endpoint may have different color palette support
+        # For now, we'll omit color palettes for V3 to avoid errors
+
+        try:
+            response = await Requests().post(url, headers=headers, json=data)
+            return response.json()["data"][0]["url"]
+        except RequestException as e:
+            raise Exception(f"Failed to fetch image with V3 endpoint: {str(e)}")
+
+    async def _run_model_legacy(
+        self,
+        api_key: SecretStr,
+        model_name: str,
+        prompt: str,
+        seed: Optional[int],
+        aspect_ratio: str,
+        magic_prompt_option: str,
+        style_type: str,
+        negative_prompt: Optional[str],
+        color_palette_name: str,
+        custom_colors: Optional[list[str]],
     ):
         url = "https://api.ideogram.ai/generate"
         headers = {
@@ -230,26 +355,35 @@ def run_model(
                 "model": model_name,
                 "aspect_ratio": aspect_ratio,
                 "magic_prompt_option": magic_prompt_option,
-                "style_type": style_type,
             }
         }
 
+        # Only add style_type for V2, V2_TURBO, and V3 models (V1 models don't support it)
+        if model_name in ["V_2", "V_2_TURBO", "V_3"]:
+            data["image_request"]["style_type"] = style_type
+
         if seed is not None:
             data["image_request"]["seed"] = seed
 
         if negative_prompt:
             data["image_request"]["negative_prompt"] = negative_prompt
 
-        if color_palette_name != "NONE":
-            data["image_request"]["color_palette"] = {"name": color_palette_name}
+        # Only add color palette for V2 and V2_TURBO models (V1 models don't support it)
+        if model_name in ["V_2", "V_2_TURBO"]:
+            if color_palette_name != "NONE":
+                data["color_palette"] = {"name": color_palette_name}
+            elif custom_colors:
+                data["color_palette"] = {
+                    "members": [{"color_hex": color} for color in custom_colors]
+                }
 
         try:
-            response = requests.post(url, json=data, headers=headers)
+            response = await Requests().post(url, headers=headers, json=data)
             return response.json()["data"][0]["url"]
         except RequestException as e:
-            raise Exception(f"Failed to fetch image: {str(e)}")
+            raise Exception(f"Failed to fetch image with legacy endpoint: {str(e)}")
 
-    def upscale_image(self, api_key: SecretStr, image_url: str):
+    async def upscale_image(self, api_key: SecretStr, image_url: str):
         url = "https://api.ideogram.ai/upscale"
         headers = {
             "Api-Key": api_key.get_secret_value(),
@@ -257,23 +391,22 @@ def upscale_image(self, api_key: SecretStr, image_url: str):
 
         try:
             # Step 1: Download the image from the provided URL
-            image_response = requests.get(image_url)
+            response = await Requests().get(image_url)
+            image_content = response.content
 
             # Step 2: Send the downloaded image to the upscale API
             files = {
-                "image_file": ("image.png", image_response.content, "image/png"),
+                "image_file": ("image.png", image_content, "image/png"),
             }
 
-            response = requests.post(
+            response = await Requests().post(
                 url,
                 headers=headers,
-                data={
-                    "image_request": "{}",  # Empty JSON object
-                },
+                data={"image_request": "{}"},
                 files=files,
             )
 
-            return response.json()["data"][0]["url"]
+            return (response.json())["data"][0]["url"]
 
         except RequestException as e:
             raise Exception(f"Failed to upscale image: {str(e)}")
diff --git a/autogpt_platform/backend/backend/blocks/io.py b/autogpt_platform/backend/backend/blocks/io.py
new file mode 100644
index 000000000000..c9a98c3ca957
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/io.py
@@ -0,0 +1,563 @@
+import copy
+from datetime import date, time
+from typing import Any, Optional
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
+from backend.data.model import SchemaField
+from backend.util.file import store_media_file
+from backend.util.mock import MockObject
+from backend.util.settings import Config
+from backend.util.text import TextFormatter
+from backend.util.type import LongTextType, MediaFileType, ShortTextType
+
+formatter = TextFormatter()
+config = Config()
+
+
+class AgentInputBlock(Block):
+    """
+    This block is used to provide input to the graph.
+
+    It takes in a value, name, description, default values list and bool to limit selection to default values.
+
+    It Outputs the value passed as input.
+    """
+
+    class Input(BlockSchema):
+        name: str = SchemaField(description="The name of the input.")
+        value: Any = SchemaField(
+            description="The value to be passed as input.",
+            default=None,
+        )
+        title: str | None = SchemaField(
+            description="The title of the input.", default=None, advanced=True
+        )
+        description: str | None = SchemaField(
+            description="The description of the input.",
+            default=None,
+            advanced=True,
+        )
+        placeholder_values: list = SchemaField(
+            description="The placeholder values to be passed as input.",
+            default_factory=list,
+            advanced=True,
+            hidden=True,
+        )
+        advanced: bool = SchemaField(
+            description="Whether to show the input in the advanced section, if the field is not required.",
+            default=False,
+            advanced=True,
+        )
+        secret: bool = SchemaField(
+            description="Whether the input should be treated as a secret.",
+            default=False,
+            advanced=True,
+        )
+
+        def generate_schema(self):
+            schema = copy.deepcopy(self.get_field_schema("value"))
+            if possible_values := self.placeholder_values:
+                schema["enum"] = possible_values
+            return schema
+
+    class Output(BlockSchema):
+        result: Any = SchemaField(description="The value passed as input.")
+
+    def __init__(self, **kwargs):
+        super().__init__(
+            **{
+                "id": "c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
+                "description": "Base block for user inputs.",
+                "input_schema": AgentInputBlock.Input,
+                "output_schema": AgentInputBlock.Output,
+                "test_input": [
+                    {
+                        "value": "Hello, World!",
+                        "name": "input_1",
+                        "description": "Example test input.",
+                        "placeholder_values": [],
+                    },
+                    {
+                        "value": "Hello, World!",
+                        "name": "input_2",
+                        "description": "Example test input with placeholders.",
+                        "placeholder_values": ["Hello, World!"],
+                    },
+                ],
+                "test_output": [
+                    ("result", "Hello, World!"),
+                    ("result", "Hello, World!"),
+                ],
+                "categories": {BlockCategory.INPUT, BlockCategory.BASIC},
+                "block_type": BlockType.INPUT,
+                "static_output": True,
+                **kwargs,
+            }
+        )
+
+    async def run(self, input_data: Input, *args, **kwargs) -> BlockOutput:
+        if input_data.value is not None:
+            yield "result", input_data.value
+
+
+class AgentOutputBlock(Block):
+    """
+    Records the output of the graph for users to see.
+
+    Behavior:
+        If `format` is provided and the `value` is of a type that can be formatted,
+        the block attempts to format the recorded_value using the `format`.
+        If formatting fails or no `format` is provided, the raw `value` is output.
+    """
+
+    class Input(BlockSchema):
+        value: Any = SchemaField(
+            description="The value to be recorded as output.",
+            default=None,
+            advanced=False,
+        )
+        name: str = SchemaField(description="The name of the output.")
+        title: str | None = SchemaField(
+            description="The title of the output.",
+            default=None,
+            advanced=True,
+        )
+        description: str | None = SchemaField(
+            description="The description of the output.",
+            default=None,
+            advanced=True,
+        )
+        format: str = SchemaField(
+            description="The format string to be used to format the recorded_value. Use Jinja2 syntax.",
+            default="",
+            advanced=True,
+        )
+        advanced: bool = SchemaField(
+            description="Whether to treat the output as advanced.",
+            default=False,
+            advanced=True,
+        )
+        secret: bool = SchemaField(
+            description="Whether the output should be treated as a secret.",
+            default=False,
+            advanced=True,
+        )
+
+        def generate_schema(self):
+            return self.get_field_schema("value")
+
+    class Output(BlockSchema):
+        output: Any = SchemaField(description="The value recorded as output.")
+        name: Any = SchemaField(description="The name of the value recorded as output.")
+
+    def __init__(self):
+        super().__init__(
+            id="363ae599-353e-4804-937e-b2ee3cef3da4",
+            description="Stores the output of the graph for users to see.",
+            input_schema=AgentOutputBlock.Input,
+            output_schema=AgentOutputBlock.Output,
+            test_input=[
+                {
+                    "value": "Hello, World!",
+                    "name": "output_1",
+                    "description": "This is a test output.",
+                    "format": "{{ output_1 }}!!",
+                },
+                {
+                    "value": "42",
+                    "name": "output_2",
+                    "description": "This is another test output.",
+                    "format": "{{ output_2 }}",
+                },
+                {
+                    "value": MockObject(value="!!", key="key"),
+                    "name": "output_3",
+                    "description": "This is a test output with a mock object.",
+                    "format": "{{ output_3 }}",
+                },
+            ],
+            test_output=[
+                ("output", "Hello, World!!!"),
+                ("output", "42"),
+                ("output", MockObject(value="!!", key="key")),
+            ],
+            categories={BlockCategory.OUTPUT, BlockCategory.BASIC},
+            block_type=BlockType.OUTPUT,
+            static_output=True,
+        )
+
+    async def run(self, input_data: Input, *args, **kwargs) -> BlockOutput:
+        """
+        Attempts to format the recorded_value using the fmt_string if provided.
+        If formatting fails or no fmt_string is given, returns the original recorded_value.
+        """
+        if input_data.format:
+            try:
+                yield "output", formatter.format_string(
+                    input_data.format, {input_data.name: input_data.value}
+                )
+            except Exception as e:
+                yield "output", f"Error: {e}, {input_data.value}"
+        else:
+            yield "output", input_data.value
+            yield "name", input_data.name
+
+
+class AgentShortTextInputBlock(AgentInputBlock):
+    class Input(AgentInputBlock.Input):
+        value: Optional[ShortTextType] = SchemaField(
+            description="Short text input.",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: str = SchemaField(description="Short text result.")
+
+    def __init__(self):
+        super().__init__(
+            id="7fcd3bcb-8e1b-4e69-903d-32d3d4a92158",
+            description="Block for short text input (single-line).",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentShortTextInputBlock.Input,
+            output_schema=AgentShortTextInputBlock.Output,
+            test_input=[
+                {
+                    "value": "Hello",
+                    "name": "short_text_1",
+                    "description": "Short text example 1",
+                    "placeholder_values": [],
+                },
+                {
+                    "value": "Quick test",
+                    "name": "short_text_2",
+                    "description": "Short text example 2",
+                    "placeholder_values": ["Quick test", "Another option"],
+                },
+            ],
+            test_output=[
+                ("result", "Hello"),
+                ("result", "Quick test"),
+            ],
+        )
+
+
+class AgentLongTextInputBlock(AgentInputBlock):
+    class Input(AgentInputBlock.Input):
+        value: Optional[LongTextType] = SchemaField(
+            description="Long text input (potentially multi-line).",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: str = SchemaField(description="Long text result.")
+
+    def __init__(self):
+        super().__init__(
+            id="90a56ffb-7024-4b2b-ab50-e26c5e5ab8ba",
+            description="Block for long text input (multi-line).",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentLongTextInputBlock.Input,
+            output_schema=AgentLongTextInputBlock.Output,
+            test_input=[
+                {
+                    "value": "Lorem ipsum dolor sit amet...",
+                    "name": "long_text_1",
+                    "description": "Long text example 1",
+                    "placeholder_values": [],
+                },
+                {
+                    "value": "Another multiline text input.",
+                    "name": "long_text_2",
+                    "description": "Long text example 2",
+                    "placeholder_values": ["Another multiline text input."],
+                },
+            ],
+            test_output=[
+                ("result", "Lorem ipsum dolor sit amet..."),
+                ("result", "Another multiline text input."),
+            ],
+        )
+
+
+class AgentNumberInputBlock(AgentInputBlock):
+    class Input(AgentInputBlock.Input):
+        value: Optional[int] = SchemaField(
+            description="Number input.",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: int = SchemaField(description="Number result.")
+
+    def __init__(self):
+        super().__init__(
+            id="96dae2bb-97a2-41c2-bd2f-13a3b5a8ea98",
+            description="Block for number input.",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentNumberInputBlock.Input,
+            output_schema=AgentNumberInputBlock.Output,
+            test_input=[
+                {
+                    "value": 42,
+                    "name": "number_input_1",
+                    "description": "Number example 1",
+                    "placeholder_values": [],
+                },
+                {
+                    "value": 314,
+                    "name": "number_input_2",
+                    "description": "Number example 2",
+                    "placeholder_values": [314, 2718],
+                },
+            ],
+            test_output=[
+                ("result", 42),
+                ("result", 314),
+            ],
+        )
+
+
+class AgentDateInputBlock(AgentInputBlock):
+    class Input(AgentInputBlock.Input):
+        value: Optional[date] = SchemaField(
+            description="Date input (YYYY-MM-DD).",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: date = SchemaField(description="Date result.")
+
+    def __init__(self):
+        super().__init__(
+            id="7e198b09-4994-47db-8b4d-952d98241817",
+            description="Block for date input.",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentDateInputBlock.Input,
+            output_schema=AgentDateInputBlock.Output,
+            test_input=[
+                {
+                    # If your system can parse JSON date strings to date objects
+                    "value": str(date(2025, 3, 19)),
+                    "name": "date_input_1",
+                    "description": "Example date input 1",
+                },
+                {
+                    "value": str(date(2023, 12, 31)),
+                    "name": "date_input_2",
+                    "description": "Example date input 2",
+                },
+            ],
+            test_output=[
+                ("result", date(2025, 3, 19)),
+                ("result", date(2023, 12, 31)),
+            ],
+        )
+
+
+class AgentTimeInputBlock(AgentInputBlock):
+    class Input(AgentInputBlock.Input):
+        value: Optional[time] = SchemaField(
+            description="Time input (HH:MM:SS).",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: time = SchemaField(description="Time result.")
+
+    def __init__(self):
+        super().__init__(
+            id="2a1c757e-86cf-4c7e-aacf-060dc382e434",
+            description="Block for time input.",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentTimeInputBlock.Input,
+            output_schema=AgentTimeInputBlock.Output,
+            test_input=[
+                {
+                    "value": str(time(9, 30, 0)),
+                    "name": "time_input_1",
+                    "description": "Time example 1",
+                },
+                {
+                    "value": str(time(23, 59, 59)),
+                    "name": "time_input_2",
+                    "description": "Time example 2",
+                },
+            ],
+            test_output=[
+                ("result", time(9, 30, 0)),
+                ("result", time(23, 59, 59)),
+            ],
+        )
+
+
+class AgentFileInputBlock(AgentInputBlock):
+    """
+    A simplified file-upload block. In real usage, you might have a custom
+    file type or handle binary data. Here, we'll store a string path as the example.
+    """
+
+    class Input(AgentInputBlock.Input):
+        value: Optional[MediaFileType] = SchemaField(
+            description="Path or reference to an uploaded file.",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+        base_64: bool = SchemaField(
+            description="Whether produce an output in base64 format (not recommended, you can pass the string path just fine accross blocks).",
+            default=False,
+            advanced=True,
+            title="Produce Base64 Output",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: str = SchemaField(description="File reference/path result.")
+
+    def __init__(self):
+        super().__init__(
+            id="95ead23f-8283-4654-aef3-10c053b74a31",
+            description="Block for file upload input (string path for example).",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentFileInputBlock.Input,
+            output_schema=AgentFileInputBlock.Output,
+            test_input=[
+                {
+                    "value": "data:image/png;base64,MQ==",
+                    "name": "file_upload_1",
+                    "description": "Example file upload 1",
+                },
+            ],
+            test_output=[
+                ("result", str),
+            ],
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        if not input_data.value:
+            return
+
+        yield "result", await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.value,
+            user_id=user_id,
+            return_content=input_data.base_64,
+        )
+
+
+class AgentDropdownInputBlock(AgentInputBlock):
+    """
+    A specialized text input block that relies on placeholder_values to present a dropdown.
+    """
+
+    class Input(AgentInputBlock.Input):
+        value: Optional[str] = SchemaField(
+            description="Text selected from a dropdown.",
+            default=None,
+            advanced=False,
+            title="Default Value",
+        )
+        placeholder_values: list = SchemaField(
+            description="Possible values for the dropdown.",
+            default_factory=list,
+            advanced=False,
+            title="Dropdown Options",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: str = SchemaField(description="Selected dropdown value.")
+
+    def __init__(self):
+        super().__init__(
+            id="655d6fdf-a334-421c-b733-520549c07cd1",
+            description="Block for dropdown text selection.",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentDropdownInputBlock.Input,
+            output_schema=AgentDropdownInputBlock.Output,
+            test_input=[
+                {
+                    "value": "Option A",
+                    "name": "dropdown_1",
+                    "placeholder_values": ["Option A", "Option B", "Option C"],
+                    "description": "Dropdown example 1",
+                },
+                {
+                    "value": "Option C",
+                    "name": "dropdown_2",
+                    "placeholder_values": ["Option A", "Option B", "Option C"],
+                    "description": "Dropdown example 2",
+                },
+            ],
+            test_output=[
+                ("result", "Option A"),
+                ("result", "Option C"),
+            ],
+        )
+
+
+class AgentToggleInputBlock(AgentInputBlock):
+    class Input(AgentInputBlock.Input):
+        value: bool = SchemaField(
+            description="Boolean toggle input.",
+            default=False,
+            advanced=False,
+            title="Default Value",
+        )
+
+    class Output(AgentInputBlock.Output):
+        result: bool = SchemaField(description="Boolean toggle result.")
+
+    def __init__(self):
+        super().__init__(
+            id="cbf36ab5-df4a-43b6-8a7f-f7ed8652116e",
+            description="Block for boolean toggle input.",
+            disabled=not config.enable_agent_input_subtype_blocks,
+            input_schema=AgentToggleInputBlock.Input,
+            output_schema=AgentToggleInputBlock.Output,
+            test_input=[
+                {
+                    "value": True,
+                    "name": "toggle_1",
+                    "description": "Toggle example 1",
+                },
+                {
+                    "value": False,
+                    "name": "toggle_2",
+                    "description": "Toggle example 2",
+                },
+            ],
+            test_output=[
+                ("result", True),
+                ("result", False),
+            ],
+        )
+
+
+IO_BLOCK_IDs = [
+    AgentInputBlock().id,
+    AgentOutputBlock().id,
+    AgentShortTextInputBlock().id,
+    AgentLongTextInputBlock().id,
+    AgentNumberInputBlock().id,
+    AgentDateInputBlock().id,
+    AgentTimeInputBlock().id,
+    AgentFileInputBlock().id,
+    AgentDropdownInputBlock().id,
+    AgentToggleInputBlock().id,
+]
diff --git a/autogpt_platform/backend/backend/blocks/iteration.py b/autogpt_platform/backend/backend/blocks/iteration.py
index 16783af59f11..c0b66a2ed008 100644
--- a/autogpt_platform/backend/backend/blocks/iteration.py
+++ b/autogpt_platform/backend/backend/blocks/iteration.py
@@ -11,13 +11,13 @@ class Input(BlockSchema):
             advanced=False,
             description="The list or dictionary of items to iterate over",
             placeholder="[1, 2, 3, 4, 5] or {'key1': 'value1', 'key2': 'value2'}",
-            default=[],
+            default_factory=list,
         )
         items_object: dict = SchemaField(
             advanced=False,
             description="The list or dictionary of items to iterate over",
             placeholder="[1, 2, 3, 4, 5] or {'key1': 'value1', 'key2': 'value2'}",
-            default={},
+            default_factory=dict,
         )
         items_str: str = SchemaField(
             advanced=False,
@@ -53,7 +53,7 @@ def __init__(self):
             test_mock={},
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         for data in [input_data.items, input_data.items_object, input_data.items_str]:
             if not data:
                 continue
diff --git a/autogpt_platform/backend/backend/blocks/jina/chunking.py b/autogpt_platform/backend/backend/blocks/jina/chunking.py
index 24102e560fb7..052fa8e81529 100644
--- a/autogpt_platform/backend/backend/blocks/jina/chunking.py
+++ b/autogpt_platform/backend/backend/blocks/jina/chunking.py
@@ -5,7 +5,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
-from backend.util.request import requests
+from backend.util.request import Requests
 
 
 class JinaChunkingBlock(Block):
@@ -23,7 +23,7 @@ class Input(BlockSchema):
     class Output(BlockSchema):
         chunks: list = SchemaField(description="List of chunked texts")
         tokens: list = SchemaField(
-            description="List of token information for each chunk", optional=True
+            description="List of token information for each chunk",
         )
 
     def __init__(self):
@@ -35,7 +35,7 @@ def __init__(self):
             output_schema=JinaChunkingBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: JinaCredentials, **kwargs
     ) -> BlockOutput:
         url = "https://segment.jina.ai/"
@@ -55,7 +55,7 @@ def run(
                 "max_chunk_length": str(input_data.max_chunk_length),
             }
 
-            response = requests.post(url, headers=headers, json=data)
+            response = await Requests().post(url, headers=headers, json=data)
             result = response.json()
 
             all_chunks.extend(result.get("chunks", []))
diff --git a/autogpt_platform/backend/backend/blocks/jina/embeddings.py b/autogpt_platform/backend/backend/blocks/jina/embeddings.py
index 67a17bf2c34f..abc2f9d6aef7 100644
--- a/autogpt_platform/backend/backend/blocks/jina/embeddings.py
+++ b/autogpt_platform/backend/backend/blocks/jina/embeddings.py
@@ -5,7 +5,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
-from backend.util.request import requests
+from backend.util.request import Requests
 
 
 class JinaEmbeddingBlock(Block):
@@ -29,7 +29,7 @@ def __init__(self):
             output_schema=JinaEmbeddingBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: JinaCredentials, **kwargs
     ) -> BlockOutput:
         url = "https://api.jina.ai/v1/embeddings"
@@ -38,6 +38,6 @@ def run(
             "Authorization": f"Bearer {credentials.api_key.get_secret_value()}",
         }
         data = {"input": input_data.texts, "model": input_data.model}
-        response = requests.post(url, headers=headers, json=data)
+        response = await Requests().post(url, headers=headers, json=data)
         embeddings = [e["embedding"] for e in response.json()["data"]]
         yield "embeddings", embeddings
diff --git a/autogpt_platform/backend/backend/blocks/jina/fact_checker.py b/autogpt_platform/backend/backend/blocks/jina/fact_checker.py
index c9b8c08d1db8..9cf1e277fd41 100644
--- a/autogpt_platform/backend/backend/blocks/jina/fact_checker.py
+++ b/autogpt_platform/backend/backend/blocks/jina/fact_checker.py
@@ -1,7 +1,5 @@
 from urllib.parse import quote
 
-import requests
-
 from backend.blocks.jina._auth import (
     JinaCredentials,
     JinaCredentialsField,
@@ -9,6 +7,7 @@
 )
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
+from backend.util.request import Requests
 
 
 class FactCheckerBlock(Block):
@@ -35,7 +34,7 @@ def __init__(self):
             output_schema=FactCheckerBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: JinaCredentials, **kwargs
     ) -> BlockOutput:
         encoded_statement = quote(input_data.statement)
@@ -46,8 +45,7 @@ def run(
             "Authorization": f"Bearer {credentials.api_key.get_secret_value()}",
         }
 
-        response = requests.get(url, headers=headers)
-        response.raise_for_status()
+        response = await Requests().get(url, headers=headers)
         data = response.json()
 
         if "data" in data:
diff --git a/autogpt_platform/backend/backend/blocks/jina/search.py b/autogpt_platform/backend/backend/blocks/jina/search.py
index c03ca3ce0134..90a6eea51cd6 100644
--- a/autogpt_platform/backend/backend/blocks/jina/search.py
+++ b/autogpt_platform/backend/backend/blocks/jina/search.py
@@ -1,4 +1,4 @@
-from groq._utils._utils import quote
+from urllib.parse import quote
 
 from backend.blocks.jina._auth import (
     TEST_CREDENTIALS,
@@ -39,7 +39,7 @@ def __init__(self):
             test_mock={"get_request": lambda *args, **kwargs: "search content"},
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: JinaCredentials, **kwargs
     ) -> BlockOutput:
         # Encode the search query
@@ -51,7 +51,7 @@ def run(
 
         # Prepend the Jina Search URL to the encoded query
         jina_search_url = f"https://s.jina.ai/{encoded_query}"
-        results = self.get_request(jina_search_url, headers=headers, json=False)
+        results = await self.get_request(jina_search_url, headers=headers, json=False)
 
         # Output the search results
         yield "results", results
@@ -90,7 +90,7 @@ def __init__(self):
             test_mock={"get_request": lambda *args, **kwargs: "scraped content"},
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: JinaCredentials, **kwargs
     ) -> BlockOutput:
         if input_data.raw_content:
@@ -103,5 +103,5 @@ def run(
                 "Authorization": f"Bearer {credentials.api_key.get_secret_value()}",
             }
 
-        content = self.get_request(url, json=False, headers=headers)
+        content = await self.get_request(url, json=False, headers=headers)
         yield "content", content
diff --git a/autogpt_platform/backend/backend/blocks/linear/__init__.py b/autogpt_platform/backend/backend/blocks/linear/__init__.py
new file mode 100644
index 000000000000..1109105aaf0d
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/__init__.py
@@ -0,0 +1,14 @@
+"""
+Linear integration blocks for AutoGPT Platform.
+"""
+
+from .comment import LinearCreateCommentBlock
+from .issues import LinearCreateIssueBlock, LinearSearchIssuesBlock
+from .projects import LinearSearchProjectsBlock
+
+__all__ = [
+    "LinearCreateCommentBlock",
+    "LinearCreateIssueBlock",
+    "LinearSearchIssuesBlock",
+    "LinearSearchProjectsBlock",
+]
diff --git a/autogpt_platform/backend/backend/blocks/linear/_api.py b/autogpt_platform/backend/backend/blocks/linear/_api.py
new file mode 100644
index 000000000000..d79aaa39b41a
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/_api.py
@@ -0,0 +1,267 @@
+from __future__ import annotations
+
+import json
+from typing import Any, Dict, Optional, Union
+
+from backend.sdk import APIKeyCredentials, OAuth2Credentials, Requests
+
+from .models import CreateCommentResponse, CreateIssueResponse, Issue, Project
+
+
+class LinearAPIException(Exception):
+    def __init__(self, message: str, status_code: int):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class LinearClient:
+    """Client for the Linear API
+
+    If you're looking for the schema: https://studio.apollographql.com/public/Linear-API/variant/current/schema
+    """
+
+    API_URL = "https://api.linear.app/graphql"
+
+    def __init__(
+        self,
+        credentials: Union[OAuth2Credentials, APIKeyCredentials, None] = None,
+        custom_requests: Optional[Requests] = None,
+    ):
+        if custom_requests:
+            self._requests = custom_requests
+        else:
+            headers: Dict[str, str] = {
+                "Content-Type": "application/json",
+            }
+            if credentials:
+                headers["Authorization"] = credentials.auth_header()
+
+            self._requests = Requests(
+                extra_headers=headers,
+                trusted_origins=["https://api.linear.app"],
+                raise_for_status=False,
+            )
+
+    async def _execute_graphql_request(
+        self, query: str, variables: dict | None = None
+    ) -> Any:
+        """
+        Executes a GraphQL request against the Linear API and returns the response data.
+
+        Args:
+            query: The GraphQL query string.
+            variables (optional): Any GraphQL query variables
+
+        Returns:
+            The parsed JSON response data, or raises a LinearAPIException on error.
+        """
+        payload: Dict[str, Any] = {"query": query}
+        if variables:
+            payload["variables"] = variables
+
+        response = await self._requests.post(self.API_URL, json=payload)
+
+        if not response.ok:
+            try:
+                error_data = response.json()
+                error_message = error_data.get("errors", [{}])[0].get("message", "")
+            except json.JSONDecodeError:
+                error_message = response.text()
+
+            raise LinearAPIException(
+                f"Linear API request failed ({response.status}): {error_message}",
+                response.status,
+            )
+
+        response_data = response.json()
+        if "errors" in response_data:
+
+            error_messages = [
+                error.get("message", "") for error in response_data["errors"]
+            ]
+            raise LinearAPIException(
+                f"Linear API returned errors: {', '.join(error_messages)}",
+                response.status,
+            )
+
+        return response_data["data"]
+
+    async def query(self, query: str, variables: Optional[dict] = None) -> dict:
+        """Executes a GraphQL query.
+
+        Args:
+            query: The GraphQL query string.
+            variables: Query variables, if any.
+
+        Returns:
+             The response data.
+        """
+        return await self._execute_graphql_request(query, variables)
+
+    async def mutate(self, mutation: str, variables: Optional[dict] = None) -> dict:
+        """Executes a GraphQL mutation.
+
+        Args:
+            mutation: The GraphQL mutation string.
+            variables: Query variables, if any.
+
+        Returns:
+            The response data.
+        """
+        return await self._execute_graphql_request(mutation, variables)
+
+    async def try_create_comment(
+        self, issue_id: str, comment: str
+    ) -> CreateCommentResponse:
+        try:
+            mutation = """
+                mutation CommentCreate($input: CommentCreateInput!) {
+                  commentCreate(input: $input) {
+                    success
+                    comment {
+                      id
+                      body
+                    }
+              }
+            }
+        """
+
+            variables = {
+                "input": {
+                    "body": comment,
+                    "issueId": issue_id,
+                }
+            }
+
+            added_comment = await self.mutate(mutation, variables)
+            # Select the commentCreate field from the mutation response
+            return CreateCommentResponse(**added_comment["commentCreate"])
+        except LinearAPIException as e:
+            raise e
+
+    async def try_get_team_by_name(self, team_name: str) -> str:
+        try:
+            query = """
+            query GetTeamId($searchTerm: String!) {
+              teams(filter: { 
+                or: [
+                  { name: { eqIgnoreCase: $searchTerm } },
+                  { key: { eqIgnoreCase: $searchTerm } }
+                ]
+              }) {
+                nodes {
+                  id
+                  name
+                  key
+                }
+              }
+            }
+            """
+
+            variables: dict[str, Any] = {
+                "searchTerm": team_name,
+            }
+
+            team_id = await self.query(query, variables)
+            return team_id["teams"]["nodes"][0]["id"]
+        except LinearAPIException as e:
+            raise e
+
+    async def try_create_issue(
+        self,
+        team_id: str,
+        title: str,
+        description: str | None = None,
+        priority: int | None = None,
+        project_id: str | None = None,
+    ) -> CreateIssueResponse:
+        try:
+            mutation = """
+               mutation IssueCreate($input: IssueCreateInput!) {
+                issueCreate(input: $input) {
+                  issue {
+                    title
+                    description
+                    id
+                    identifier
+                    priority
+                  }
+                }
+            }
+            """
+
+            variables: dict[str, Any] = {
+                "input": {
+                    "teamId": team_id,
+                    "title": title,
+                }
+            }
+
+            if project_id:
+                variables["input"]["projectId"] = project_id
+
+            if description:
+                variables["input"]["description"] = description
+
+            if priority:
+                variables["input"]["priority"] = priority
+
+            added_issue = await self.mutate(mutation, variables)
+            return CreateIssueResponse(**added_issue["issueCreate"])
+        except LinearAPIException as e:
+            raise e
+
+    async def try_search_projects(self, term: str) -> list[Project]:
+        try:
+            query = """
+                query SearchProjects($term: String!, $includeComments: Boolean!) {
+                    searchProjects(term: $term, includeComments: $includeComments) {
+                        nodes {
+                            id
+                            name
+                            description
+                            priority
+                            progress
+                            content
+                        }
+                    }
+                }
+            """
+
+            variables: dict[str, Any] = {
+                "term": term,
+                "includeComments": True,
+            }
+
+            projects = await self.query(query, variables)
+            return [
+                Project(**project) for project in projects["searchProjects"]["nodes"]
+            ]
+        except LinearAPIException as e:
+            raise e
+
+    async def try_search_issues(self, term: str) -> list[Issue]:
+        try:
+            query = """
+                query SearchIssues($term: String!, $includeComments: Boolean!) {
+                    searchIssues(term: $term, includeComments: $includeComments) {
+                        nodes {
+                            id
+                            identifier
+                            title
+                            description
+                            priority
+                        }
+                    }
+                }
+            """
+
+            variables: dict[str, Any] = {
+                "term": term,
+                "includeComments": True,
+            }
+
+            issues = await self.query(query, variables)
+            return [Issue(**issue) for issue in issues["searchIssues"]["nodes"]]
+        except LinearAPIException as e:
+            raise e
diff --git a/autogpt_platform/backend/backend/blocks/linear/_config.py b/autogpt_platform/backend/backend/blocks/linear/_config.py
new file mode 100644
index 000000000000..c5337c481ccc
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/_config.py
@@ -0,0 +1,91 @@
+"""
+Shared configuration for all Linear blocks using the new SDK pattern.
+"""
+
+from enum import Enum
+
+from backend.sdk import (
+    APIKeyCredentials,
+    BlockCostType,
+    OAuth2Credentials,
+    ProviderBuilder,
+    SecretStr,
+)
+
+from ._oauth import LinearOAuthHandler
+
+# (required) Comma separated list of scopes:
+
+# read - (Default) Read access for the user's account. This scope will always be present.
+
+# write - Write access for the user's account. If your application only needs to create comments, use a more targeted scope
+
+# issues:create - Allows creating new issues and their attachments
+
+# comments:create - Allows creating new issue comments
+
+# timeSchedule:write - Allows creating and modifying time schedules
+
+
+# admin - Full access to admin level endpoints. You should never ask for this permission unless it's absolutely needed
+class LinearScope(str, Enum):
+    READ = "read"
+    WRITE = "write"
+    ISSUES_CREATE = "issues:create"
+    COMMENTS_CREATE = "comments:create"
+    TIME_SCHEDULE_WRITE = "timeSchedule:write"
+    ADMIN = "admin"
+
+
+linear = (
+    ProviderBuilder("linear")
+    .with_api_key(env_var_name="LINEAR_API_KEY", title="Linear API Key")
+    .with_base_cost(1, BlockCostType.RUN)
+    .with_oauth(
+        LinearOAuthHandler,
+        scopes=[
+            LinearScope.READ,
+            LinearScope.WRITE,
+            LinearScope.ISSUES_CREATE,
+            LinearScope.COMMENTS_CREATE,
+        ],
+        client_id_env_var="LINEAR_CLIENT_ID",
+        client_secret_env_var="LINEAR_CLIENT_SECRET",
+    )
+    .build()
+)
+
+
+TEST_CREDENTIALS_OAUTH = OAuth2Credentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="linear",
+    title="Mock Linear API key",
+    username="mock-linear-username",
+    access_token=SecretStr("mock-linear-access-token"),
+    access_token_expires_at=None,
+    refresh_token=SecretStr("mock-linear-refresh-token"),
+    refresh_token_expires_at=None,
+    scopes=["mock-linear-scopes"],
+)
+
+TEST_CREDENTIALS_API_KEY = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="linear",
+    title="Mock Linear API key",
+    api_key=SecretStr("mock-linear-api-key"),
+    expires_at=None,
+)
+
+TEST_CREDENTIALS_INPUT_OAUTH = {
+    "provider": TEST_CREDENTIALS_OAUTH.provider,
+    "id": TEST_CREDENTIALS_OAUTH.id,
+    "type": TEST_CREDENTIALS_OAUTH.type,
+    "title": TEST_CREDENTIALS_OAUTH.type,
+}
+
+TEST_CREDENTIALS_INPUT_API_KEY = {
+    "provider": TEST_CREDENTIALS_API_KEY.provider,
+    "id": TEST_CREDENTIALS_API_KEY.id,
+    "type": TEST_CREDENTIALS_API_KEY.type,
+    "title": TEST_CREDENTIALS_API_KEY.type,
+}
diff --git a/autogpt_platform/backend/backend/blocks/linear/_oauth.py b/autogpt_platform/backend/backend/blocks/linear/_oauth.py
new file mode 100644
index 000000000000..d1eb4f6bfc38
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/_oauth.py
@@ -0,0 +1,181 @@
+"""
+Linear OAuth handler implementation.
+"""
+
+import json
+from typing import Optional
+from urllib.parse import urlencode
+
+from backend.sdk import (
+    APIKeyCredentials,
+    BaseOAuthHandler,
+    OAuth2Credentials,
+    ProviderName,
+    Requests,
+    SecretStr,
+)
+
+
+class LinearAPIException(Exception):
+    """Exception for Linear API errors."""
+
+    def __init__(self, message: str, status_code: int):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class LinearOAuthHandler(BaseOAuthHandler):
+    """
+    OAuth2 handler for Linear.
+    """
+
+    # Provider name will be set dynamically by the SDK when registered
+    # We use a placeholder that will be replaced by AutoRegistry.register_provider()
+    PROVIDER_NAME = ProviderName("linear")
+
+    def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+        self.auth_base_url = "https://linear.app/oauth/authorize"
+        self.token_url = "https://api.linear.app/oauth/token"  # Correct token URL
+        self.revoke_url = "https://api.linear.app/oauth/revoke"
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
+        params = {
+            "client_id": self.client_id,
+            "redirect_uri": self.redirect_uri,
+            "response_type": "code",  # Important: include "response_type"
+            "scope": ",".join(scopes),  # Comma-separated, not space-separated
+            "state": state,
+        }
+        return f"{self.auth_base_url}?{urlencode(params)}"
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
+    ) -> OAuth2Credentials:
+        return await self._request_tokens(
+            {"code": code, "redirect_uri": self.redirect_uri}
+        )
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        if not credentials.access_token:
+            raise ValueError("No access token to revoke")
+
+        headers = {
+            "Authorization": f"Bearer {credentials.access_token.get_secret_value()}"
+        }
+
+        response = await Requests().post(self.revoke_url, headers=headers)
+        if not response.ok:
+            try:
+                error_data = response.json()
+                error_message = error_data.get("error", "Unknown error")
+            except json.JSONDecodeError:
+                error_message = response.text
+            raise LinearAPIException(
+                f"Failed to revoke Linear tokens ({response.status}): {error_message}",
+                response.status,
+            )
+
+        return True  # Linear doesn't return JSON on successful revoke
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        if not credentials.refresh_token:
+            raise ValueError(
+                "No refresh token available."
+            )  # Linear uses non-expiring tokens
+
+        return await self._request_tokens(
+            {
+                "refresh_token": credentials.refresh_token.get_secret_value(),
+                "grant_type": "refresh_token",
+            }
+        )
+
+    async def _request_tokens(
+        self,
+        params: dict[str, str],
+        current_credentials: Optional[OAuth2Credentials] = None,
+    ) -> OAuth2Credentials:
+        request_body = {
+            "client_id": self.client_id,
+            "client_secret": self.client_secret,
+            "grant_type": "authorization_code",  # Ensure grant_type is correct
+            **params,
+        }
+
+        headers = {
+            "Content-Type": "application/x-www-form-urlencoded"
+        }  # Correct header for token request
+        response = await Requests().post(
+            self.token_url, data=request_body, headers=headers
+        )
+
+        if not response.ok:
+            try:
+                error_data = response.json()
+                error_message = error_data.get("error", "Unknown error")
+            except json.JSONDecodeError:
+                error_message = response.text
+            raise LinearAPIException(
+                f"Failed to fetch Linear tokens ({response.status}): {error_message}",
+                response.status,
+            )
+
+        token_data = response.json()
+
+        # Note: Linear access tokens do not expire, so we set expires_at to None
+        new_credentials = OAuth2Credentials(
+            provider=self.PROVIDER_NAME,
+            title=current_credentials.title if current_credentials else None,
+            username=token_data.get("user", {}).get(
+                "name", "Unknown User"
+            ),  # extract name or set appropriate
+            access_token=token_data["access_token"],
+            scopes=token_data["scope"].split(
+                ","
+            ),  # Linear returns comma-separated scopes
+            refresh_token=token_data.get(
+                "refresh_token"
+            ),  # Linear uses non-expiring tokens so this might be null
+            access_token_expires_at=None,
+            refresh_token_expires_at=None,
+        )
+        if current_credentials:
+            new_credentials.id = current_credentials.id
+        return new_credentials
+
+    async def _request_username(self, access_token: str) -> Optional[str]:
+        # Use the LinearClient to fetch user details using GraphQL
+        from ._api import LinearClient
+
+        try:
+            # Create a temporary OAuth2Credentials object for the LinearClient
+            linear_client = LinearClient(
+                APIKeyCredentials(
+                    api_key=SecretStr(access_token),
+                    title="temp",
+                    provider=self.PROVIDER_NAME,
+                    expires_at=None,
+                )
+            )  # Temporary credentials for this request
+
+            query = """
+                query Viewer {
+                    viewer {
+                        name
+                    }
+                }
+            """
+
+            response = await linear_client.query(query)
+            return response["viewer"]["name"]
+
+        except Exception as e:  # Handle any errors
+            print(f"Error fetching username: {e}")
+            return None
diff --git a/autogpt_platform/backend/backend/blocks/linear/comment.py b/autogpt_platform/backend/backend/blocks/linear/comment.py
new file mode 100644
index 000000000000..17cd54c212e0
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/comment.py
@@ -0,0 +1,93 @@
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+    SchemaField,
+)
+
+from ._api import LinearAPIException, LinearClient
+from ._config import (
+    TEST_CREDENTIALS_INPUT_OAUTH,
+    TEST_CREDENTIALS_OAUTH,
+    LinearScope,
+    linear,
+)
+from .models import CreateCommentResponse
+
+
+class LinearCreateCommentBlock(Block):
+    """Block for creating comments on Linear issues"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = linear.credentials_field(
+            description="Linear credentials with comment creation permissions",
+            required_scopes={LinearScope.COMMENTS_CREATE},
+        )
+        issue_id: str = SchemaField(description="ID of the issue to comment on")
+        comment: str = SchemaField(description="Comment text to add to the issue")
+
+    class Output(BlockSchema):
+        comment_id: str = SchemaField(description="ID of the created comment")
+        comment_body: str = SchemaField(
+            description="Text content of the created comment"
+        )
+        error: str = SchemaField(description="Error message if comment creation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="8f7d3a2e-9b5c-4c6a-8f1d-7c8b3e4a5d6c",
+            description="Creates a new comment on a Linear issue",
+            input_schema=self.Input,
+            output_schema=self.Output,
+            categories={BlockCategory.PRODUCTIVITY, BlockCategory.ISSUE_TRACKING},
+            test_input={
+                "issue_id": "TEST-123",
+                "comment": "Test comment",
+                "credentials": TEST_CREDENTIALS_INPUT_OAUTH,
+            },
+            test_credentials=TEST_CREDENTIALS_OAUTH,
+            test_output=[("comment_id", "abc123"), ("comment_body", "Test comment")],
+            test_mock={
+                "create_comment": lambda *args, **kwargs: (
+                    "abc123",
+                    "Test comment",
+                )
+            },
+        )
+
+    @staticmethod
+    async def create_comment(
+        credentials: OAuth2Credentials | APIKeyCredentials, issue_id: str, comment: str
+    ) -> tuple[str, str]:
+        client = LinearClient(credentials=credentials)
+        response: CreateCommentResponse = await client.try_create_comment(
+            issue_id=issue_id, comment=comment
+        )
+        return response.comment.id, response.comment.body
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: OAuth2Credentials | APIKeyCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        """Execute the comment creation"""
+        try:
+            comment_id, comment_body = await self.create_comment(
+                credentials=credentials,
+                issue_id=input_data.issue_id,
+                comment=input_data.comment,
+            )
+
+            yield "comment_id", comment_id
+            yield "comment_body", comment_body
+
+        except LinearAPIException as e:
+            yield "error", str(e)
+        except Exception as e:
+            yield "error", f"Unexpected error: {str(e)}"
diff --git a/autogpt_platform/backend/backend/blocks/linear/issues.py b/autogpt_platform/backend/backend/blocks/linear/issues.py
new file mode 100644
index 000000000000..cd0fa0e98abf
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/issues.py
@@ -0,0 +1,205 @@
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+    SchemaField,
+)
+
+from ._api import LinearAPIException, LinearClient
+from ._config import (
+    TEST_CREDENTIALS_INPUT_OAUTH,
+    TEST_CREDENTIALS_OAUTH,
+    LinearScope,
+    linear,
+)
+from .models import CreateIssueResponse, Issue
+
+
+class LinearCreateIssueBlock(Block):
+    """Block for creating issues on Linear"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = linear.credentials_field(
+            description="Linear credentials with issue creation permissions",
+            required_scopes={LinearScope.ISSUES_CREATE},
+        )
+        title: str = SchemaField(description="Title of the issue")
+        description: str | None = SchemaField(description="Description of the issue")
+        team_name: str = SchemaField(
+            description="Name of the team to create the issue on"
+        )
+        priority: int | None = SchemaField(
+            description="Priority of the issue",
+            default=None,
+            ge=0,
+            le=4,
+        )
+        project_name: str | None = SchemaField(
+            description="Name of the project to create the issue on",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        issue_id: str = SchemaField(description="ID of the created issue")
+        issue_title: str = SchemaField(description="Title of the created issue")
+        error: str = SchemaField(description="Error message if issue creation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="f9c68f55-dcca-40a8-8771-abf9601680aa",
+            description="Creates a new issue on Linear",
+            input_schema=self.Input,
+            output_schema=self.Output,
+            categories={BlockCategory.PRODUCTIVITY, BlockCategory.ISSUE_TRACKING},
+            test_input={
+                "title": "Test issue",
+                "description": "Test description",
+                "team_name": "Test team",
+                "project_name": "Test project",
+                "credentials": TEST_CREDENTIALS_INPUT_OAUTH,
+            },
+            test_credentials=TEST_CREDENTIALS_OAUTH,
+            test_output=[("issue_id", "abc123"), ("issue_title", "Test issue")],
+            test_mock={
+                "create_issue": lambda *args, **kwargs: (
+                    "abc123",
+                    "Test issue",
+                )
+            },
+        )
+
+    @staticmethod
+    async def create_issue(
+        credentials: OAuth2Credentials | APIKeyCredentials,
+        team_name: str,
+        title: str,
+        description: str | None = None,
+        priority: int | None = None,
+        project_name: str | None = None,
+    ) -> tuple[str, str]:
+        client = LinearClient(credentials=credentials)
+        team_id = await client.try_get_team_by_name(team_name=team_name)
+        project_id: str | None = None
+        if project_name:
+            projects = await client.try_search_projects(term=project_name)
+            if projects:
+                project_id = projects[0].id
+            else:
+                raise LinearAPIException("Project not found", status_code=404)
+        response: CreateIssueResponse = await client.try_create_issue(
+            team_id=team_id,
+            title=title,
+            description=description,
+            priority=priority,
+            project_id=project_id,
+        )
+        return response.issue.identifier, response.issue.title
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: OAuth2Credentials,
+        **kwargs,
+    ) -> BlockOutput:
+        """Execute the issue creation"""
+        try:
+            issue_id, issue_title = await self.create_issue(
+                credentials=credentials,
+                team_name=input_data.team_name,
+                title=input_data.title,
+                description=input_data.description,
+                priority=input_data.priority,
+                project_name=input_data.project_name,
+            )
+
+            yield "issue_id", issue_id
+            yield "issue_title", issue_title
+
+        except LinearAPIException as e:
+            yield "error", str(e)
+        except Exception as e:
+            yield "error", f"Unexpected error: {str(e)}"
+
+
+class LinearSearchIssuesBlock(Block):
+    """Block for searching issues on Linear"""
+
+    class Input(BlockSchema):
+        term: str = SchemaField(description="Term to search for issues")
+        credentials: CredentialsMetaInput = linear.credentials_field(
+            description="Linear credentials with read permissions",
+            required_scopes={LinearScope.READ},
+        )
+
+    class Output(BlockSchema):
+        issues: list[Issue] = SchemaField(description="List of issues")
+
+    def __init__(self):
+        super().__init__(
+            id="b5a2a0e6-26b4-4c5b-8a42-bc79e9cb65c2",
+            description="Searches for issues on Linear",
+            input_schema=self.Input,
+            output_schema=self.Output,
+            test_input={
+                "term": "Test issue",
+                "credentials": TEST_CREDENTIALS_INPUT_OAUTH,
+            },
+            test_credentials=TEST_CREDENTIALS_OAUTH,
+            test_output=[
+                (
+                    "issues",
+                    [
+                        Issue(
+                            id="abc123",
+                            identifier="abc123",
+                            title="Test issue",
+                            description="Test description",
+                            priority=1,
+                        )
+                    ],
+                )
+            ],
+            test_mock={
+                "search_issues": lambda *args, **kwargs: [
+                    Issue(
+                        id="abc123",
+                        identifier="abc123",
+                        title="Test issue",
+                        description="Test description",
+                        priority=1,
+                    )
+                ]
+            },
+        )
+
+    @staticmethod
+    async def search_issues(
+        credentials: OAuth2Credentials | APIKeyCredentials,
+        term: str,
+    ) -> list[Issue]:
+        client = LinearClient(credentials=credentials)
+        response: list[Issue] = await client.try_search_issues(term=term)
+        return response
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: OAuth2Credentials | APIKeyCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        """Execute the issue search"""
+        try:
+            issues = await self.search_issues(
+                credentials=credentials, term=input_data.term
+            )
+            yield "issues", issues
+        except LinearAPIException as e:
+            yield "error", str(e)
+        except Exception as e:
+            yield "error", f"Unexpected error: {str(e)}"
diff --git a/autogpt_platform/backend/backend/blocks/linear/models.py b/autogpt_platform/backend/backend/blocks/linear/models.py
new file mode 100644
index 000000000000..00fa535d694d
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/models.py
@@ -0,0 +1,41 @@
+from backend.sdk import BaseModel
+
+
+class Comment(BaseModel):
+    id: str
+    body: str
+
+
+class CreateCommentInput(BaseModel):
+    body: str
+    issueId: str
+
+
+class CreateCommentResponse(BaseModel):
+    success: bool
+    comment: Comment
+
+
+class CreateCommentResponseWrapper(BaseModel):
+    commentCreate: CreateCommentResponse
+
+
+class Issue(BaseModel):
+    id: str
+    identifier: str
+    title: str
+    description: str | None
+    priority: int
+
+
+class CreateIssueResponse(BaseModel):
+    issue: Issue
+
+
+class Project(BaseModel):
+    id: str
+    name: str
+    description: str
+    priority: int
+    progress: int
+    content: str
diff --git a/autogpt_platform/backend/backend/blocks/linear/projects.py b/autogpt_platform/backend/backend/blocks/linear/projects.py
new file mode 100644
index 000000000000..4eeb1ed99d30
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/linear/projects.py
@@ -0,0 +1,105 @@
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+    SchemaField,
+)
+
+from ._api import LinearAPIException, LinearClient
+from ._config import (
+    TEST_CREDENTIALS_INPUT_OAUTH,
+    TEST_CREDENTIALS_OAUTH,
+    LinearScope,
+    linear,
+)
+from .models import Project
+
+
+class LinearSearchProjectsBlock(Block):
+    """Block for searching projects on Linear"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = linear.credentials_field(
+            description="Linear credentials with read permissions",
+            required_scopes={LinearScope.READ},
+        )
+        term: str = SchemaField(description="Term to search for projects")
+
+    class Output(BlockSchema):
+        projects: list[Project] = SchemaField(description="List of projects")
+        error: str = SchemaField(description="Error message if issue creation failed")
+
+    def __init__(self):
+        super().__init__(
+            id="446a1d35-9d8f-4ac5-83ea-7684ec50e6af",
+            description="Searches for projects on Linear",
+            input_schema=self.Input,
+            output_schema=self.Output,
+            categories={BlockCategory.PRODUCTIVITY, BlockCategory.ISSUE_TRACKING},
+            test_input={
+                "term": "Test project",
+                "credentials": TEST_CREDENTIALS_INPUT_OAUTH,
+            },
+            test_credentials=TEST_CREDENTIALS_OAUTH,
+            test_output=[
+                (
+                    "projects",
+                    [
+                        Project(
+                            id="abc123",
+                            name="Test project",
+                            description="Test description",
+                            priority=1,
+                            progress=1,
+                            content="Test content",
+                        )
+                    ],
+                )
+            ],
+            test_mock={
+                "search_projects": lambda *args, **kwargs: [
+                    Project(
+                        id="abc123",
+                        name="Test project",
+                        description="Test description",
+                        priority=1,
+                        progress=1,
+                        content="Test content",
+                    )
+                ]
+            },
+        )
+
+    @staticmethod
+    async def search_projects(
+        credentials: OAuth2Credentials | APIKeyCredentials,
+        term: str,
+    ) -> list[Project]:
+        client = LinearClient(credentials=credentials)
+        response: list[Project] = await client.try_search_projects(term=term)
+        return response
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: OAuth2Credentials | APIKeyCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        """Execute the project search"""
+        try:
+            projects = await self.search_projects(
+                credentials=credentials,
+                term=input_data.term,
+            )
+
+            yield "projects", projects
+
+        except LinearAPIException as e:
+            yield "error", str(e)
+        except Exception as e:
+            yield "error", f"Unexpected error: {str(e)}"
diff --git a/autogpt_platform/backend/backend/blocks/llm.py b/autogpt_platform/backend/backend/blocks/llm.py
index 0e56abed52e3..b20df4052ef4 100644
--- a/autogpt_platform/backend/backend/blocks/llm.py
+++ b/autogpt_platform/backend/backend/blocks/llm.py
@@ -1,45 +1,48 @@
 import ast
 import logging
+from abc import ABC
 from enum import Enum, EnumMeta
 from json import JSONDecodeError
-from types import MappingProxyType
-from typing import TYPE_CHECKING, Any, List, Literal, NamedTuple
-
-from pydantic import SecretStr
-
-from backend.integrations.providers import ProviderName
-
-if TYPE_CHECKING:
-    from enum import _EnumMemberT
+from typing import Any, Iterable, List, Literal, NamedTuple, Optional
 
 import anthropic
 import ollama
 import openai
-from groq import Groq
+from anthropic.types import ToolParam
+from groq import AsyncGroq
+from pydantic import BaseModel, SecretStr
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import (
     APIKeyCredentials,
     CredentialsField,
     CredentialsMetaInput,
+    NodeExecutionStats,
     SchemaField,
 )
+from backend.integrations.providers import ProviderName
 from backend.util import json
-from backend.util.settings import BehaveAs, Settings
+from backend.util.logging import TruncatedLogger
+from backend.util.prompt import compress_prompt, estimate_token_count
+from backend.util.text import TextFormatter
 
-logger = logging.getLogger(__name__)
+logger = TruncatedLogger(logging.getLogger(__name__), "[LLM-Block]")
+fmt = TextFormatter()
 
 LLMProviderName = Literal[
+    ProviderName.AIML_API,
     ProviderName.ANTHROPIC,
     ProviderName.GROQ,
     ProviderName.OLLAMA,
     ProviderName.OPENAI,
     ProviderName.OPEN_ROUTER,
+    ProviderName.LLAMA_API,
+    ProviderName.V0,
 ]
 AICredentials = CredentialsMetaInput[LLMProviderName, Literal["api_key"]]
 
 TEST_CREDENTIALS = APIKeyCredentials(
-    id="ed55ac19-356e-4243-a6cb-bc599e9b716f",
+    id="769f6af7-820b-4d5d-9b7a-ab82bbc165f",
     provider="openai",
     api_key=SecretStr("mock-openai-api-key"),
     title="Mock OpenAI API key",
@@ -66,64 +69,75 @@ def AICredentialsField() -> AICredentials:
 class ModelMetadata(NamedTuple):
     provider: str
     context_window: int
+    max_output_tokens: int | None
 
 
 class LlmModelMeta(EnumMeta):
-    @property
-    def __members__(
-        self: type["_EnumMemberT"],
-    ) -> MappingProxyType[str, "_EnumMemberT"]:
-        if Settings().config.behave_as == BehaveAs.LOCAL:
-            members = super().__members__
-            return members
-        else:
-            removed_providers = ["ollama"]
-            existing_members = super().__members__
-            members = {
-                name: member
-                for name, member in existing_members.items()
-                if LlmModel[name].provider not in removed_providers
-            }
-            return MappingProxyType(members)
+    pass
 
 
 class LlmModel(str, Enum, metaclass=LlmModelMeta):
     # OpenAI models
-    O1_PREVIEW = "o1-preview"
+    O3_MINI = "o3-mini"
+    O3 = "o3-2025-04-16"
+    O1 = "o1"
     O1_MINI = "o1-mini"
+    # GPT-5 models
+    GPT5 = "gpt-5-2025-08-07"
+    GPT5_MINI = "gpt-5-mini-2025-08-07"
+    GPT5_NANO = "gpt-5-nano-2025-08-07"
+    GPT5_CHAT = "gpt-5-chat-latest"
+    GPT41 = "gpt-4.1-2025-04-14"
+    GPT41_MINI = "gpt-4.1-mini-2025-04-14"
     GPT4O_MINI = "gpt-4o-mini"
     GPT4O = "gpt-4o"
     GPT4_TURBO = "gpt-4-turbo"
     GPT3_5_TURBO = "gpt-3.5-turbo"
     # Anthropic models
+    CLAUDE_4_1_OPUS = "claude-opus-4-1-20250805"
+    CLAUDE_4_OPUS = "claude-opus-4-20250514"
+    CLAUDE_4_SONNET = "claude-sonnet-4-20250514"
+    CLAUDE_3_7_SONNET = "claude-3-7-sonnet-20250219"
     CLAUDE_3_5_SONNET = "claude-3-5-sonnet-latest"
+    CLAUDE_3_5_HAIKU = "claude-3-5-haiku-latest"
     CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
+    # AI/ML API models
+    AIML_API_QWEN2_5_72B = "Qwen/Qwen2.5-72B-Instruct-Turbo"
+    AIML_API_LLAMA3_1_70B = "nvidia/llama-3.1-nemotron-70b-instruct"
+    AIML_API_LLAMA3_3_70B = "meta-llama/Llama-3.3-70B-Instruct-Turbo"
+    AIML_API_META_LLAMA_3_1_70B = "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo"
+    AIML_API_LLAMA_3_2_3B = "meta-llama/Llama-3.2-3B-Instruct-Turbo"
     # Groq models
-    LLAMA3_8B = "llama3-8b-8192"
-    LLAMA3_70B = "llama3-70b-8192"
-    MIXTRAL_8X7B = "mixtral-8x7b-32768"
-    GEMMA_7B = "gemma-7b-it"
     GEMMA2_9B = "gemma2-9b-it"
-    # New Groq models (Preview)
-    LLAMA3_1_405B = "llama-3.1-405b-reasoning"
-    LLAMA3_1_70B = "llama-3.1-70b-versatile"
+    LLAMA3_3_70B = "llama-3.3-70b-versatile"
     LLAMA3_1_8B = "llama-3.1-8b-instant"
+    LLAMA3_70B = "llama3-70b-8192"
+    LLAMA3_8B = "llama3-8b-8192"
+    # Groq preview models
+    DEEPSEEK_LLAMA_70B = "deepseek-r1-distill-llama-70b"
     # Ollama models
+    OLLAMA_LLAMA3_3 = "llama3.3"
+    OLLAMA_LLAMA3_2 = "llama3.2"
     OLLAMA_LLAMA3_8B = "llama3"
     OLLAMA_LLAMA3_405B = "llama3.1:405b"
     OLLAMA_DOLPHIN = "dolphin-mistral:latest"
     # OpenRouter models
-    GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5"
-    GROK_BETA = "x-ai/grok-beta"
+    OPENAI_GPT_OSS_120B = "openai/gpt-oss-120b"
+    OPENAI_GPT_OSS_20B = "openai/gpt-oss-20b"
+    GEMINI_FLASH_1_5 = "google/gemini-flash-1.5"
+    GEMINI_2_5_PRO = "google/gemini-2.5-pro-preview-03-25"
+    GEMINI_2_5_FLASH = "google/gemini-2.5-flash"
+    GEMINI_2_0_FLASH = "google/gemini-2.0-flash-001"
+    GEMINI_2_5_FLASH_LITE_PREVIEW = "google/gemini-2.5-flash-lite-preview-06-17"
+    GEMINI_2_0_FLASH_LITE = "google/gemini-2.0-flash-lite-001"
     MISTRAL_NEMO = "mistralai/mistral-nemo"
     COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024"
     COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024"
-    EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b"
-    DEEPSEEK_CHAT = "deepseek/deepseek-chat"
-    PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = (
-        "perplexity/llama-3.1-sonar-large-128k-online"
-    )
-    QWEN_QWQ_32B_PREVIEW = "qwen/qwq-32b-preview"
+    DEEPSEEK_CHAT = "deepseek/deepseek-chat"  # Actually: DeepSeek V3
+    DEEPSEEK_R1_0528 = "deepseek/deepseek-r1-0528"
+    PERPLEXITY_SONAR = "perplexity/sonar"
+    PERPLEXITY_SONAR_PRO = "perplexity/sonar-pro"
+    PERPLEXITY_SONAR_DEEP_RESEARCH = "perplexity/sonar-deep-research"
     NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b"
     NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b"
     AMAZON_NOVA_LITE_V1 = "amazon/nova-lite-v1"
@@ -131,6 +145,21 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     AMAZON_NOVA_PRO_V1 = "amazon/nova-pro-v1"
     MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b"
     GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b"
+    META_LLAMA_4_SCOUT = "meta-llama/llama-4-scout"
+    META_LLAMA_4_MAVERICK = "meta-llama/llama-4-maverick"
+    GROK_4 = "x-ai/grok-4"
+    KIMI_K2 = "moonshotai/kimi-k2"
+    QWEN3_235B_A22B_THINKING = "qwen/qwen3-235b-a22b-thinking-2507"
+    QWEN3_CODER = "qwen/qwen3-coder"
+    # Llama API models
+    LLAMA_API_LLAMA_4_SCOUT = "Llama-4-Scout-17B-16E-Instruct-FP8"
+    LLAMA_API_LLAMA4_MAVERICK = "Llama-4-Maverick-17B-128E-Instruct-FP8"
+    LLAMA_API_LLAMA3_3_8B = "Llama-3.3-8B-Instruct"
+    LLAMA_API_LLAMA3_3_70B = "Llama-3.3-70B-Instruct"
+    # v0 by Vercel models
+    V0_1_5_MD = "v0-1.5-md"
+    V0_1_5_LG = "v0-1.5-lg"
+    V0_1_0_MD = "v0-1.0-md"
 
     @property
     def metadata(self) -> ModelMetadata:
@@ -144,46 +173,122 @@ def provider(self) -> str:
     def context_window(self) -> int:
         return self.metadata.context_window
 
+    @property
+    def max_output_tokens(self) -> int | None:
+        return self.metadata.max_output_tokens
+
 
 MODEL_METADATA = {
-    LlmModel.O1_PREVIEW: ModelMetadata("openai", 32000),
-    LlmModel.O1_MINI: ModelMetadata("openai", 62000),
-    LlmModel.GPT4O_MINI: ModelMetadata("openai", 128000),
-    LlmModel.GPT4O: ModelMetadata("openai", 128000),
-    LlmModel.GPT4_TURBO: ModelMetadata("openai", 128000),
-    LlmModel.GPT3_5_TURBO: ModelMetadata("openai", 16385),
-    LlmModel.CLAUDE_3_5_SONNET: ModelMetadata("anthropic", 200000),
-    LlmModel.CLAUDE_3_HAIKU: ModelMetadata("anthropic", 200000),
-    LlmModel.LLAMA3_8B: ModelMetadata("groq", 8192),
-    LlmModel.LLAMA3_70B: ModelMetadata("groq", 8192),
-    LlmModel.MIXTRAL_8X7B: ModelMetadata("groq", 32768),
-    LlmModel.GEMMA_7B: ModelMetadata("groq", 8192),
-    LlmModel.GEMMA2_9B: ModelMetadata("groq", 8192),
-    LlmModel.LLAMA3_1_405B: ModelMetadata("groq", 8192),
-    # Limited to 16k during preview
-    LlmModel.LLAMA3_1_70B: ModelMetadata("groq", 131072),
-    LlmModel.LLAMA3_1_8B: ModelMetadata("groq", 131072),
-    LlmModel.OLLAMA_LLAMA3_8B: ModelMetadata("ollama", 8192),
-    LlmModel.OLLAMA_LLAMA3_405B: ModelMetadata("ollama", 8192),
-    LlmModel.OLLAMA_DOLPHIN: ModelMetadata("ollama", 32768),
-    LlmModel.GEMINI_FLASH_1_5_8B: ModelMetadata("open_router", 8192),
-    LlmModel.GROK_BETA: ModelMetadata("open_router", 8192),
-    LlmModel.MISTRAL_NEMO: ModelMetadata("open_router", 4000),
-    LlmModel.COHERE_COMMAND_R_08_2024: ModelMetadata("open_router", 4000),
-    LlmModel.COHERE_COMMAND_R_PLUS_08_2024: ModelMetadata("open_router", 4000),
-    LlmModel.EVA_QWEN_2_5_32B: ModelMetadata("open_router", 4000),
-    LlmModel.DEEPSEEK_CHAT: ModelMetadata("open_router", 8192),
-    LlmModel.PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE: ModelMetadata(
-        "open_router", 8192
+    # https://platform.openai.com/docs/models
+    LlmModel.O3: ModelMetadata("openai", 200000, 100000),
+    LlmModel.O3_MINI: ModelMetadata("openai", 200000, 100000),  # o3-mini-2025-01-31
+    LlmModel.O1: ModelMetadata("openai", 200000, 100000),  # o1-2024-12-17
+    LlmModel.O1_MINI: ModelMetadata("openai", 128000, 65536),  # o1-mini-2024-09-12
+    # GPT-5 models
+    LlmModel.GPT5: ModelMetadata("openai", 400000, 128000),
+    LlmModel.GPT5_MINI: ModelMetadata("openai", 400000, 128000),
+    LlmModel.GPT5_NANO: ModelMetadata("openai", 400000, 128000),
+    LlmModel.GPT5_CHAT: ModelMetadata("openai", 400000, 16384),
+    LlmModel.GPT41: ModelMetadata("openai", 1047576, 32768),
+    LlmModel.GPT41_MINI: ModelMetadata("openai", 1047576, 32768),
+    LlmModel.GPT4O_MINI: ModelMetadata(
+        "openai", 128000, 16384
+    ),  # gpt-4o-mini-2024-07-18
+    LlmModel.GPT4O: ModelMetadata("openai", 128000, 16384),  # gpt-4o-2024-08-06
+    LlmModel.GPT4_TURBO: ModelMetadata(
+        "openai", 128000, 4096
+    ),  # gpt-4-turbo-2024-04-09
+    LlmModel.GPT3_5_TURBO: ModelMetadata("openai", 16385, 4096),  # gpt-3.5-turbo-0125
+    # https://docs.anthropic.com/en/docs/about-claude/models
+    LlmModel.CLAUDE_4_1_OPUS: ModelMetadata(
+        "anthropic", 200000, 32000
+    ),  # claude-opus-4-1-20250805
+    LlmModel.CLAUDE_4_OPUS: ModelMetadata(
+        "anthropic", 200000, 8192
+    ),  # claude-4-opus-20250514
+    LlmModel.CLAUDE_4_SONNET: ModelMetadata(
+        "anthropic", 200000, 8192
+    ),  # claude-4-sonnet-20250514
+    LlmModel.CLAUDE_3_7_SONNET: ModelMetadata(
+        "anthropic", 200000, 8192
+    ),  # claude-3-7-sonnet-20250219
+    LlmModel.CLAUDE_3_5_SONNET: ModelMetadata(
+        "anthropic", 200000, 8192
+    ),  # claude-3-5-sonnet-20241022
+    LlmModel.CLAUDE_3_5_HAIKU: ModelMetadata(
+        "anthropic", 200000, 8192
+    ),  # claude-3-5-haiku-20241022
+    LlmModel.CLAUDE_3_HAIKU: ModelMetadata(
+        "anthropic", 200000, 4096
+    ),  # claude-3-haiku-20240307
+    # https://docs.aimlapi.com/api-overview/model-database/text-models
+    LlmModel.AIML_API_QWEN2_5_72B: ModelMetadata("aiml_api", 32000, 8000),
+    LlmModel.AIML_API_LLAMA3_1_70B: ModelMetadata("aiml_api", 128000, 40000),
+    LlmModel.AIML_API_LLAMA3_3_70B: ModelMetadata("aiml_api", 128000, None),
+    LlmModel.AIML_API_META_LLAMA_3_1_70B: ModelMetadata("aiml_api", 131000, 2000),
+    LlmModel.AIML_API_LLAMA_3_2_3B: ModelMetadata("aiml_api", 128000, None),
+    # https://console.groq.com/docs/models
+    LlmModel.GEMMA2_9B: ModelMetadata("groq", 8192, None),
+    LlmModel.LLAMA3_3_70B: ModelMetadata("groq", 128000, 32768),
+    LlmModel.LLAMA3_1_8B: ModelMetadata("groq", 128000, 8192),
+    LlmModel.LLAMA3_70B: ModelMetadata("groq", 8192, None),
+    LlmModel.LLAMA3_8B: ModelMetadata("groq", 8192, None),
+    LlmModel.DEEPSEEK_LLAMA_70B: ModelMetadata("groq", 128000, None),
+    # https://ollama.com/library
+    LlmModel.OLLAMA_LLAMA3_3: ModelMetadata("ollama", 8192, None),
+    LlmModel.OLLAMA_LLAMA3_2: ModelMetadata("ollama", 8192, None),
+    LlmModel.OLLAMA_LLAMA3_8B: ModelMetadata("ollama", 8192, None),
+    LlmModel.OLLAMA_LLAMA3_405B: ModelMetadata("ollama", 8192, None),
+    LlmModel.OLLAMA_DOLPHIN: ModelMetadata("ollama", 32768, None),
+    # https://openrouter.ai/models
+    LlmModel.GEMINI_FLASH_1_5: ModelMetadata("open_router", 1000000, 8192),
+    LlmModel.GEMINI_2_5_PRO: ModelMetadata("open_router", 1050000, 8192),
+    LlmModel.GEMINI_2_5_FLASH: ModelMetadata("open_router", 1048576, 65535),
+    LlmModel.GEMINI_2_0_FLASH: ModelMetadata("open_router", 1048576, 8192),
+    LlmModel.GEMINI_2_5_FLASH_LITE_PREVIEW: ModelMetadata(
+        "open_router", 1048576, 65535
+    ),
+    LlmModel.GEMINI_2_0_FLASH_LITE: ModelMetadata("open_router", 1048576, 8192),
+    LlmModel.MISTRAL_NEMO: ModelMetadata("open_router", 128000, 4096),
+    LlmModel.COHERE_COMMAND_R_08_2024: ModelMetadata("open_router", 128000, 4096),
+    LlmModel.COHERE_COMMAND_R_PLUS_08_2024: ModelMetadata("open_router", 128000, 4096),
+    LlmModel.DEEPSEEK_CHAT: ModelMetadata("open_router", 64000, 2048),
+    LlmModel.DEEPSEEK_R1_0528: ModelMetadata("open_router", 163840, 163840),
+    LlmModel.PERPLEXITY_SONAR: ModelMetadata("open_router", 127000, 127000),
+    LlmModel.PERPLEXITY_SONAR_PRO: ModelMetadata("open_router", 200000, 8000),
+    LlmModel.PERPLEXITY_SONAR_DEEP_RESEARCH: ModelMetadata(
+        "open_router",
+        128000,
+        128000,
     ),
-    LlmModel.QWEN_QWQ_32B_PREVIEW: ModelMetadata("open_router", 4000),
-    LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: ModelMetadata("open_router", 4000),
-    LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B: ModelMetadata("open_router", 4000),
-    LlmModel.AMAZON_NOVA_LITE_V1: ModelMetadata("open_router", 4000),
-    LlmModel.AMAZON_NOVA_MICRO_V1: ModelMetadata("open_router", 4000),
-    LlmModel.AMAZON_NOVA_PRO_V1: ModelMetadata("open_router", 4000),
-    LlmModel.MICROSOFT_WIZARDLM_2_8X22B: ModelMetadata("open_router", 4000),
-    LlmModel.GRYPHE_MYTHOMAX_L2_13B: ModelMetadata("open_router", 4000),
+    LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: ModelMetadata(
+        "open_router", 131000, 4096
+    ),
+    LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B: ModelMetadata(
+        "open_router", 12288, 12288
+    ),
+    LlmModel.OPENAI_GPT_OSS_120B: ModelMetadata("open_router", 131072, 131072),
+    LlmModel.OPENAI_GPT_OSS_20B: ModelMetadata("open_router", 131072, 32768),
+    LlmModel.AMAZON_NOVA_LITE_V1: ModelMetadata("open_router", 300000, 5120),
+    LlmModel.AMAZON_NOVA_MICRO_V1: ModelMetadata("open_router", 128000, 5120),
+    LlmModel.AMAZON_NOVA_PRO_V1: ModelMetadata("open_router", 300000, 5120),
+    LlmModel.MICROSOFT_WIZARDLM_2_8X22B: ModelMetadata("open_router", 65536, 4096),
+    LlmModel.GRYPHE_MYTHOMAX_L2_13B: ModelMetadata("open_router", 4096, 4096),
+    LlmModel.META_LLAMA_4_SCOUT: ModelMetadata("open_router", 131072, 131072),
+    LlmModel.META_LLAMA_4_MAVERICK: ModelMetadata("open_router", 1048576, 1000000),
+    LlmModel.GROK_4: ModelMetadata("open_router", 256000, 256000),
+    LlmModel.KIMI_K2: ModelMetadata("open_router", 131000, 131000),
+    LlmModel.QWEN3_235B_A22B_THINKING: ModelMetadata("open_router", 262144, 262144),
+    LlmModel.QWEN3_CODER: ModelMetadata("open_router", 262144, 262144),
+    # Llama API models
+    LlmModel.LLAMA_API_LLAMA_4_SCOUT: ModelMetadata("llama_api", 128000, 4028),
+    LlmModel.LLAMA_API_LLAMA4_MAVERICK: ModelMetadata("llama_api", 128000, 4028),
+    LlmModel.LLAMA_API_LLAMA3_3_8B: ModelMetadata("llama_api", 128000, 4028),
+    LlmModel.LLAMA_API_LLAMA3_3_70B: ModelMetadata("llama_api", 128000, 4028),
+    # v0 by Vercel models
+    LlmModel.V0_1_5_MD: ModelMetadata("v0", 128000, 64000),
+    LlmModel.V0_1_5_LG: ModelMetadata("v0", 512000, 64000),
+    LlmModel.V0_1_0_MD: ModelMetadata("v0", 128000, 64000),
 }
 
 for model in LlmModel:
@@ -191,18 +296,470 @@ def context_window(self) -> int:
         raise ValueError(f"Missing MODEL_METADATA metadata for model: {model}")
 
 
-class MessageRole(str, Enum):
-    SYSTEM = "system"
-    USER = "user"
-    ASSISTANT = "assistant"
+class ToolCall(BaseModel):
+    name: str
+    arguments: str
+
+
+class ToolContentBlock(BaseModel):
+    id: str
+    type: str
+    function: ToolCall
+
+
+class LLMResponse(BaseModel):
+    raw_response: Any
+    prompt: List[Any]
+    response: str
+    tool_calls: Optional[List[ToolContentBlock]] | None
+    prompt_tokens: int
+    completion_tokens: int
+    reasoning: Optional[str] = None
+
+
+def convert_openai_tool_fmt_to_anthropic(
+    openai_tools: list[dict] | None = None,
+) -> Iterable[ToolParam] | anthropic.NotGiven:
+    """
+    Convert OpenAI tool format to Anthropic tool format.
+    """
+    if not openai_tools or len(openai_tools) == 0:
+        return anthropic.NOT_GIVEN
+
+    anthropic_tools = []
+    for tool in openai_tools:
+        if "function" in tool:
+            # Handle case where tool is already in OpenAI format with "type" and "function"
+            function_data = tool["function"]
+        else:
+            # Handle case where tool is just the function definition
+            function_data = tool
+
+        anthropic_tool: anthropic.types.ToolParam = {
+            "name": function_data["name"],
+            "description": function_data.get("description", ""),
+            "input_schema": {
+                "type": "object",
+                "properties": function_data.get("parameters", {}).get("properties", {}),
+                "required": function_data.get("parameters", {}).get("required", []),
+            },
+        }
+        anthropic_tools.append(anthropic_tool)
+
+    return anthropic_tools
+
+
+def extract_openai_reasoning(response) -> str | None:
+    """Extract reasoning from OpenAI-compatible response if available."""
+    """Note: This will likely not working since the reasoning is not present in another Response API"""
+    reasoning = None
+    choice = response.choices[0]
+    if hasattr(choice, "reasoning") and getattr(choice, "reasoning", None):
+        reasoning = str(getattr(choice, "reasoning"))
+    elif hasattr(response, "reasoning") and getattr(response, "reasoning", None):
+        reasoning = str(getattr(response, "reasoning"))
+    elif hasattr(choice.message, "reasoning") and getattr(
+        choice.message, "reasoning", None
+    ):
+        reasoning = str(getattr(choice.message, "reasoning"))
+    return reasoning
+
+
+def extract_openai_tool_calls(response) -> list[ToolContentBlock] | None:
+    """Extract tool calls from OpenAI-compatible response."""
+    if response.choices[0].message.tool_calls:
+        return [
+            ToolContentBlock(
+                id=tool.id,
+                type=tool.type,
+                function=ToolCall(
+                    name=tool.function.name,
+                    arguments=tool.function.arguments,
+                ),
+            )
+            for tool in response.choices[0].message.tool_calls
+        ]
+    return None
+
+
+def get_parallel_tool_calls_param(llm_model: LlmModel, parallel_tool_calls):
+    """Get the appropriate parallel_tool_calls parameter for OpenAI-compatible APIs."""
+    if llm_model.startswith("o") or parallel_tool_calls is None:
+        return openai.NOT_GIVEN
+    return parallel_tool_calls
+
+
+async def llm_call(
+    credentials: APIKeyCredentials,
+    llm_model: LlmModel,
+    prompt: list[dict],
+    json_format: bool,
+    max_tokens: int | None,
+    tools: list[dict] | None = None,
+    ollama_host: str = "localhost:11434",
+    parallel_tool_calls=None,
+    compress_prompt_to_fit: bool = True,
+) -> LLMResponse:
+    """
+    Make a call to a language model.
+
+    Args:
+        credentials: The API key credentials to use.
+        llm_model: The LLM model to use.
+        prompt: The prompt to send to the LLM.
+        json_format: Whether the response should be in JSON format.
+        max_tokens: The maximum number of tokens to generate in the chat completion.
+        tools: The tools to use in the chat completion.
+        ollama_host: The host for ollama to use.
+
+    Returns:
+        LLMResponse object containing:
+            - prompt: The prompt sent to the LLM.
+            - response: The text response from the LLM.
+            - tool_calls: Any tool calls the model made, if applicable.
+            - prompt_tokens: The number of tokens used in the prompt.
+            - completion_tokens: The number of tokens used in the completion.
+    """
+    provider = llm_model.metadata.provider
+    context_window = llm_model.context_window
+
+    if compress_prompt_to_fit:
+        prompt = compress_prompt(
+            messages=prompt,
+            target_tokens=llm_model.context_window // 2,
+            lossy_ok=True,
+        )
+
+    # Calculate available tokens based on context window and input length
+    estimated_input_tokens = estimate_token_count(prompt)
+    model_max_output = llm_model.max_output_tokens or int(2**15)
+    user_max = max_tokens or model_max_output
+    available_tokens = max(context_window - estimated_input_tokens, 0)
+    max_tokens = max(min(available_tokens, model_max_output, user_max), 1)
+
+    if provider == "openai":
+        tools_param = tools if tools else openai.NOT_GIVEN
+        oai_client = openai.AsyncOpenAI(api_key=credentials.api_key.get_secret_value())
+        response_format = None
+
+        parallel_tool_calls = get_parallel_tool_calls_param(
+            llm_model, parallel_tool_calls
+        )
+
+        if json_format:
+            response_format = {"type": "json_object"}
+
+        response = await oai_client.chat.completions.create(
+            model=llm_model.value,
+            messages=prompt,  # type: ignore
+            response_format=response_format,  # type: ignore
+            max_completion_tokens=max_tokens,
+            tools=tools_param,  # type: ignore
+            parallel_tool_calls=parallel_tool_calls,
+        )
+
+        tool_calls = extract_openai_tool_calls(response)
+        reasoning = extract_openai_reasoning(response)
+
+        return LLMResponse(
+            raw_response=response.choices[0].message,
+            prompt=prompt,
+            response=response.choices[0].message.content or "",
+            tool_calls=tool_calls,
+            prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
+            completion_tokens=response.usage.completion_tokens if response.usage else 0,
+            reasoning=reasoning,
+        )
+    elif provider == "anthropic":
+
+        an_tools = convert_openai_tool_fmt_to_anthropic(tools)
+
+        system_messages = [p["content"] for p in prompt if p["role"] == "system"]
+        sysprompt = " ".join(system_messages)
+
+        messages = []
+        last_role = None
+        for p in prompt:
+            if p["role"] in ["user", "assistant"]:
+                if (
+                    p["role"] == last_role
+                    and isinstance(messages[-1]["content"], str)
+                    and isinstance(p["content"], str)
+                ):
+                    # If the role is the same as the last one, combine the content
+                    messages[-1]["content"] += p["content"]
+                else:
+                    messages.append({"role": p["role"], "content": p["content"]})
+                    last_role = p["role"]
+
+        client = anthropic.AsyncAnthropic(
+            api_key=credentials.api_key.get_secret_value()
+        )
+        try:
+            resp = await client.messages.create(
+                model=llm_model.value,
+                system=sysprompt,
+                messages=messages,
+                max_tokens=max_tokens,
+                tools=an_tools,
+                timeout=600,
+            )
+
+            if not resp.content:
+                raise ValueError("No content returned from Anthropic.")
+
+            tool_calls = None
+            for content_block in resp.content:
+                # Antropic is different to openai, need to iterate through
+                # the content blocks to find the tool calls
+                if content_block.type == "tool_use":
+                    if tool_calls is None:
+                        tool_calls = []
+                    tool_calls.append(
+                        ToolContentBlock(
+                            id=content_block.id,
+                            type=content_block.type,
+                            function=ToolCall(
+                                name=content_block.name,
+                                arguments=json.dumps(content_block.input),
+                            ),
+                        )
+                    )
+
+            if not tool_calls and resp.stop_reason == "tool_use":
+                logger.warning(
+                    f"Tool use stop reason but no tool calls found in content. {resp}"
+                )
+
+            reasoning = None
+            for content_block in resp.content:
+                if hasattr(content_block, "type") and content_block.type == "thinking":
+                    reasoning = content_block.thinking
+                    break
+
+            return LLMResponse(
+                raw_response=resp,
+                prompt=prompt,
+                response=(
+                    resp.content[0].name
+                    if isinstance(resp.content[0], anthropic.types.ToolUseBlock)
+                    else getattr(resp.content[0], "text", "")
+                ),
+                tool_calls=tool_calls,
+                prompt_tokens=resp.usage.input_tokens,
+                completion_tokens=resp.usage.output_tokens,
+                reasoning=reasoning,
+            )
+        except anthropic.APIError as e:
+            error_message = f"Anthropic API error: {str(e)}"
+            logger.error(error_message)
+            raise ValueError(error_message)
+    elif provider == "groq":
+        if tools:
+            raise ValueError("Groq does not support tools.")
+
+        client = AsyncGroq(api_key=credentials.api_key.get_secret_value())
+        response_format = {"type": "json_object"} if json_format else None
+        response = await client.chat.completions.create(
+            model=llm_model.value,
+            messages=prompt,  # type: ignore
+            response_format=response_format,  # type: ignore
+            max_tokens=max_tokens,
+        )
+        return LLMResponse(
+            raw_response=response.choices[0].message,
+            prompt=prompt,
+            response=response.choices[0].message.content or "",
+            tool_calls=None,
+            prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
+            completion_tokens=response.usage.completion_tokens if response.usage else 0,
+            reasoning=None,
+        )
+    elif provider == "ollama":
+        if tools:
+            raise ValueError("Ollama does not support tools.")
+
+        client = ollama.AsyncClient(host=ollama_host)
+        sys_messages = [p["content"] for p in prompt if p["role"] == "system"]
+        usr_messages = [p["content"] for p in prompt if p["role"] != "system"]
+        response = await client.generate(
+            model=llm_model.value,
+            prompt=f"{sys_messages}\n\n{usr_messages}",
+            stream=False,
+            options={"num_ctx": max_tokens},
+        )
+        return LLMResponse(
+            raw_response=response.get("response") or "",
+            prompt=prompt,
+            response=response.get("response") or "",
+            tool_calls=None,
+            prompt_tokens=response.get("prompt_eval_count") or 0,
+            completion_tokens=response.get("eval_count") or 0,
+            reasoning=None,
+        )
+    elif provider == "open_router":
+        tools_param = tools if tools else openai.NOT_GIVEN
+        client = openai.AsyncOpenAI(
+            base_url="https://openrouter.ai/api/v1",
+            api_key=credentials.api_key.get_secret_value(),
+        )
+
+        parallel_tool_calls_param = get_parallel_tool_calls_param(
+            llm_model, parallel_tool_calls
+        )
+
+        response = await client.chat.completions.create(
+            extra_headers={
+                "HTTP-Referer": "https://agpt.co",
+                "X-Title": "AutoGPT",
+            },
+            model=llm_model.value,
+            messages=prompt,  # type: ignore
+            max_tokens=max_tokens,
+            tools=tools_param,  # type: ignore
+            parallel_tool_calls=parallel_tool_calls_param,
+        )
+
+        # If there's no response, raise an error
+        if not response.choices:
+            if response:
+                raise ValueError(f"OpenRouter error: {response}")
+            else:
+                raise ValueError("No response from OpenRouter.")
+
+        tool_calls = extract_openai_tool_calls(response)
+        reasoning = extract_openai_reasoning(response)
+
+        return LLMResponse(
+            raw_response=response.choices[0].message,
+            prompt=prompt,
+            response=response.choices[0].message.content or "",
+            tool_calls=tool_calls,
+            prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
+            completion_tokens=response.usage.completion_tokens if response.usage else 0,
+            reasoning=reasoning,
+        )
+    elif provider == "llama_api":
+        tools_param = tools if tools else openai.NOT_GIVEN
+        client = openai.AsyncOpenAI(
+            base_url="https://api.llama.com/compat/v1/",
+            api_key=credentials.api_key.get_secret_value(),
+        )
+
+        parallel_tool_calls_param = get_parallel_tool_calls_param(
+            llm_model, parallel_tool_calls
+        )
+
+        response = await client.chat.completions.create(
+            extra_headers={
+                "HTTP-Referer": "https://agpt.co",
+                "X-Title": "AutoGPT",
+            },
+            model=llm_model.value,
+            messages=prompt,  # type: ignore
+            max_tokens=max_tokens,
+            tools=tools_param,  # type: ignore
+            parallel_tool_calls=parallel_tool_calls_param,
+        )
+
+        # If there's no response, raise an error
+        if not response.choices:
+            if response:
+                raise ValueError(f"Llama API error: {response}")
+            else:
+                raise ValueError("No response from Llama API.")
+
+        tool_calls = extract_openai_tool_calls(response)
+        reasoning = extract_openai_reasoning(response)
+
+        return LLMResponse(
+            raw_response=response.choices[0].message,
+            prompt=prompt,
+            response=response.choices[0].message.content or "",
+            tool_calls=tool_calls,
+            prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
+            completion_tokens=response.usage.completion_tokens if response.usage else 0,
+            reasoning=reasoning,
+        )
+    elif provider == "aiml_api":
+        client = openai.OpenAI(
+            base_url="https://api.aimlapi.com/v2",
+            api_key=credentials.api_key.get_secret_value(),
+            default_headers={
+                "X-Project": "AutoGPT",
+                "X-Title": "AutoGPT",
+                "HTTP-Referer": "https://github.com/Significant-Gravitas/AutoGPT",
+            },
+        )
+
+        completion = client.chat.completions.create(
+            model=llm_model.value,
+            messages=prompt,  # type: ignore
+            max_tokens=max_tokens,
+        )
+
+        return LLMResponse(
+            raw_response=completion.choices[0].message,
+            prompt=prompt,
+            response=completion.choices[0].message.content or "",
+            tool_calls=None,
+            prompt_tokens=completion.usage.prompt_tokens if completion.usage else 0,
+            completion_tokens=(
+                completion.usage.completion_tokens if completion.usage else 0
+            ),
+            reasoning=None,
+        )
+    elif provider == "v0":
+        tools_param = tools if tools else openai.NOT_GIVEN
+        client = openai.AsyncOpenAI(
+            base_url="https://api.v0.dev/v1",
+            api_key=credentials.api_key.get_secret_value(),
+        )
+
+        response_format = None
+        if json_format:
+            response_format = {"type": "json_object"}
+
+        parallel_tool_calls_param = get_parallel_tool_calls_param(
+            llm_model, parallel_tool_calls
+        )
+
+        response = await client.chat.completions.create(
+            model=llm_model.value,
+            messages=prompt,  # type: ignore
+            response_format=response_format,  # type: ignore
+            max_tokens=max_tokens,
+            tools=tools_param,  # type: ignore
+            parallel_tool_calls=parallel_tool_calls_param,
+        )
+
+        tool_calls = extract_openai_tool_calls(response)
+        reasoning = extract_openai_reasoning(response)
+
+        return LLMResponse(
+            raw_response=response.choices[0].message,
+            prompt=prompt,
+            response=response.choices[0].message.content or "",
+            tool_calls=tool_calls,
+            prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
+            completion_tokens=response.usage.completion_tokens if response.usage else 0,
+            reasoning=reasoning,
+        )
+    else:
+        raise ValueError(f"Unsupported LLM provider: {provider}")
+
 
+class AIBlockBase(Block, ABC):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.prompt = []
 
-class Message(BlockSchema):
-    role: MessageRole
-    content: str
+    def merge_llm_stats(self, block: "AIBlockBase"):
+        self.merge_stats(block.execution_stats)
+        self.prompt = block.prompt
 
 
-class AIStructuredResponseGeneratorBlock(Block):
+class AIStructuredResponseGeneratorBlock(AIBlockBase):
     class Input(BlockSchema):
         prompt: str = SchemaField(
             description="The prompt to send to the language model.",
@@ -212,9 +769,14 @@ class Input(BlockSchema):
             description="Expected format of the response. If provided, the response will be validated against this format. "
             "The keys should be the expected fields in the response, and the values should be the description of the field.",
         )
+        list_result: bool = SchemaField(
+            title="List Result",
+            default=False,
+            description="Whether the response should be a list of objects in the expected format.",
+        )
         model: LlmModel = SchemaField(
             title="LLM Model",
-            default=LlmModel.GPT4_TURBO,
+            default=LlmModel.GPT4O,
             description="The language model to use for answering the prompt.",
             advanced=False,
         )
@@ -224,8 +786,8 @@ class Input(BlockSchema):
             default="",
             description="The system prompt to provide additional context to the model.",
         )
-        conversation_history: list[Message] = SchemaField(
-            default=[],
+        conversation_history: list[dict] = SchemaField(
+            default_factory=list,
             description="The conversation history to provide context for the prompt.",
         )
         retry: int = SchemaField(
@@ -234,14 +796,20 @@ class Input(BlockSchema):
             description="Number of times to retry the LLM call if the response does not match the expected format.",
         )
         prompt_values: dict[str, str] = SchemaField(
-            advanced=False, default={}, description="Values used to fill in the prompt."
+            advanced=False,
+            default_factory=dict,
+            description="Values used to fill in the prompt. The values can be used in the prompt by putting them in a double curly braces, e.g. {{variable_name}}.",
         )
         max_tokens: int | None = SchemaField(
             advanced=True,
             default=None,
             description="The maximum number of tokens to generate in the chat completion.",
         )
-
+        compress_prompt_to_fit: bool = SchemaField(
+            advanced=True,
+            default=True,
+            description="Whether to compress the prompt to fit within the model's context window.",
+        )
         ollama_host: str = SchemaField(
             advanced=True,
             default="localhost:11434",
@@ -249,9 +817,10 @@ class Input(BlockSchema):
         )
 
     class Output(BlockSchema):
-        response: dict[str, Any] = SchemaField(
+        response: dict[str, Any] | list[dict[str, Any]] = SchemaField(
             description="The response object generated by the language model."
         )
+        prompt: list = SchemaField(description="The prompt sent to the language model.")
         error: str = SchemaField(description="Error message if the API call failed.")
 
     def __init__(self):
@@ -262,7 +831,7 @@ def __init__(self):
             input_schema=AIStructuredResponseGeneratorBlock.Input,
             output_schema=AIStructuredResponseGeneratorBlock.Output,
             test_input={
-                "model": LlmModel.GPT4_TURBO,
+                "model": LlmModel.GPT4O,
                 "credentials": TEST_CREDENTIALS_INPUT,
                 "expected_format": {
                     "key1": "value1",
@@ -271,176 +840,60 @@ def __init__(self):
                 "prompt": "User prompt",
             },
             test_credentials=TEST_CREDENTIALS,
-            test_output=("response", {"key1": "key1Value", "key2": "key2Value"}),
+            test_output=[
+                ("response", {"key1": "key1Value", "key2": "key2Value"}),
+                ("prompt", list),
+            ],
             test_mock={
-                "llm_call": lambda *args, **kwargs: (
-                    json.dumps(
+                "llm_call": lambda *args, **kwargs: LLMResponse(
+                    raw_response="",
+                    prompt=[""],
+                    response=json.dumps(
                         {
                             "key1": "key1Value",
                             "key2": "key2Value",
                         }
                     ),
-                    0,
-                    0,
+                    tool_calls=None,
+                    prompt_tokens=0,
+                    completion_tokens=0,
+                    reasoning=None,
                 )
             },
         )
 
-    @staticmethod
-    def llm_call(
+    async def llm_call(
+        self,
         credentials: APIKeyCredentials,
         llm_model: LlmModel,
         prompt: list[dict],
         json_format: bool,
-        max_tokens: int | None = None,
+        compress_prompt_to_fit: bool,
+        max_tokens: int | None,
+        tools: list[dict] | None = None,
         ollama_host: str = "localhost:11434",
-    ) -> tuple[str, int, int]:
+    ) -> LLMResponse:
         """
-        Args:
-            api_key: API key for the LLM provider.
-            llm_model: The LLM model to use.
-            prompt: The prompt to send to the LLM.
-            json_format: Whether the response should be in JSON format.
-            max_tokens: The maximum number of tokens to generate in the chat completion.
-            ollama_host: The host for ollama to use
-
-        Returns:
-            The response from the LLM.
-            The number of tokens used in the prompt.
-            The number of tokens used in the completion.
+        Test mocks work only on class functions, this wraps the llm_call function
+        so that it can be mocked withing the block testing framework.
         """
-        provider = llm_model.metadata.provider
-
-        if provider == "openai":
-            oai_client = openai.OpenAI(api_key=credentials.api_key.get_secret_value())
-            response_format = None
-
-            if llm_model in [LlmModel.O1_MINI, LlmModel.O1_PREVIEW]:
-                sys_messages = [p["content"] for p in prompt if p["role"] == "system"]
-                usr_messages = [p["content"] for p in prompt if p["role"] != "system"]
-                prompt = [
-                    {"role": "user", "content": "\n".join(sys_messages)},
-                    {"role": "user", "content": "\n".join(usr_messages)},
-                ]
-            elif json_format:
-                response_format = {"type": "json_object"}
-
-            response = oai_client.chat.completions.create(
-                model=llm_model.value,
-                messages=prompt,  # type: ignore
-                response_format=response_format,  # type: ignore
-                max_completion_tokens=max_tokens,
-            )
-
-            return (
-                response.choices[0].message.content or "",
-                response.usage.prompt_tokens if response.usage else 0,
-                response.usage.completion_tokens if response.usage else 0,
-            )
-        elif provider == "anthropic":
-            system_messages = [p["content"] for p in prompt if p["role"] == "system"]
-            sysprompt = " ".join(system_messages)
-
-            messages = []
-            last_role = None
-            for p in prompt:
-                if p["role"] in ["user", "assistant"]:
-                    if p["role"] != last_role:
-                        messages.append({"role": p["role"], "content": p["content"]})
-                        last_role = p["role"]
-                    else:
-                        # If the role is the same as the last one, combine the content
-                        messages[-1]["content"] += "\n" + p["content"]
-
-            client = anthropic.Anthropic(api_key=credentials.api_key.get_secret_value())
-            try:
-                resp = client.messages.create(
-                    model=llm_model.value,
-                    system=sysprompt,
-                    messages=messages,
-                    max_tokens=max_tokens or 8192,
-                )
-
-                if not resp.content:
-                    raise ValueError("No content returned from Anthropic.")
-
-                return (
-                    (
-                        resp.content[0].name
-                        if isinstance(resp.content[0], anthropic.types.ToolUseBlock)
-                        else resp.content[0].text
-                    ),
-                    resp.usage.input_tokens,
-                    resp.usage.output_tokens,
-                )
-            except anthropic.APIError as e:
-                error_message = f"Anthropic API error: {str(e)}"
-                logger.error(error_message)
-                raise ValueError(error_message)
-        elif provider == "groq":
-            client = Groq(api_key=credentials.api_key.get_secret_value())
-            response_format = {"type": "json_object"} if json_format else None
-            response = client.chat.completions.create(
-                model=llm_model.value,
-                messages=prompt,  # type: ignore
-                response_format=response_format,  # type: ignore
-                max_tokens=max_tokens,
-            )
-            return (
-                response.choices[0].message.content or "",
-                response.usage.prompt_tokens if response.usage else 0,
-                response.usage.completion_tokens if response.usage else 0,
-            )
-        elif provider == "ollama":
-            client = ollama.Client(host=ollama_host)
-            sys_messages = [p["content"] for p in prompt if p["role"] == "system"]
-            usr_messages = [p["content"] for p in prompt if p["role"] != "system"]
-            response = client.generate(
-                model=llm_model.value,
-                prompt=f"{sys_messages}\n\n{usr_messages}",
-                stream=False,
-            )
-            return (
-                response.get("response") or "",
-                response.get("prompt_eval_count") or 0,
-                response.get("eval_count") or 0,
-            )
-        elif provider == "open_router":
-            client = openai.OpenAI(
-                base_url="https://openrouter.ai/api/v1",
-                api_key=credentials.api_key.get_secret_value(),
-            )
-
-            response = client.chat.completions.create(
-                extra_headers={
-                    "HTTP-Referer": "https://agpt.co",
-                    "X-Title": "AutoGPT",
-                },
-                model=llm_model.value,
-                messages=prompt,  # type: ignore
-                max_tokens=max_tokens,
-            )
-
-            # If there's no response, raise an error
-            if not response.choices:
-                if response:
-                    raise ValueError(f"OpenRouter error: {response}")
-                else:
-                    raise ValueError("No response from OpenRouter.")
-
-            return (
-                response.choices[0].message.content or "",
-                response.usage.prompt_tokens if response.usage else 0,
-                response.usage.completion_tokens if response.usage else 0,
-            )
-        else:
-            raise ValueError(f"Unsupported LLM provider: {provider}")
+        self.prompt = prompt
+        return await llm_call(
+            credentials=credentials,
+            llm_model=llm_model,
+            prompt=prompt,
+            json_format=json_format,
+            max_tokens=max_tokens,
+            tools=tools,
+            ollama_host=ollama_host,
+            compress_prompt_to_fit=compress_prompt_to_fit,
+        )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         logger.debug(f"Calling LLM with input data: {input_data}")
-        prompt = [p.model_dump() for p in input_data.conversation_history]
+        prompt = [json.to_dict(p) for p in input_data.conversation_history]
 
         def trim_prompt(s: str) -> str:
             lines = s.strip().split("\n")
@@ -448,8 +901,8 @@ def trim_prompt(s: str) -> str:
 
         values = input_data.prompt_values
         if values:
-            input_data.prompt = input_data.prompt.format(**values)
-            input_data.sys_prompt = input_data.sys_prompt.format(**values)
+            input_data.prompt = fmt.format_string(input_data.prompt, values)
+            input_data.sys_prompt = fmt.format_string(input_data.sys_prompt, values)
 
         if input_data.sys_prompt:
             prompt.append({"role": "system", "content": input_data.sys_prompt})
@@ -458,13 +911,22 @@ def trim_prompt(s: str) -> str:
             expected_format = [
                 f'"{k}": "{v}"' for k, v in input_data.expected_format.items()
             ]
-            format_prompt = ",\n  ".join(expected_format)
+            if input_data.list_result:
+                format_prompt = (
+                    f'"results": [\n  {{\n  {", ".join(expected_format)}\n  }}\n]'
+                )
+            else:
+                format_prompt = "\n  ".join(expected_format)
+
             sys_prompt = trim_prompt(
                 f"""
                   |Reply strictly only in the following JSON format:
                   |{{
                   |  {format_prompt}
                   |}}
+                  |
+                  |Ensure the response is valid JSON. Do not include any additional text outside of the JSON.
+                  |If you cannot provide all the keys, provide an empty string for the values you cannot answer.
                 """
             )
             prompt.append({"role": "system", "content": sys_prompt})
@@ -472,56 +934,82 @@ def trim_prompt(s: str) -> str:
         if input_data.prompt:
             prompt.append({"role": "user", "content": input_data.prompt})
 
-        def parse_response(resp: str) -> tuple[dict[str, Any], str | None]:
+        def validate_response(parsed: object) -> str | None:
             try:
-                parsed = json.loads(resp)
                 if not isinstance(parsed, dict):
-                    return {}, f"Expected a dictionary, but got {type(parsed)}"
+                    return f"Expected a dictionary, but got {type(parsed)}"
                 miss_keys = set(input_data.expected_format.keys()) - set(parsed.keys())
                 if miss_keys:
-                    return parsed, f"Missing keys: {miss_keys}"
-                return parsed, None
+                    return f"Missing keys: {miss_keys}"
+                return None
             except JSONDecodeError as e:
-                return {}, f"JSON decode error: {e}"
+                return f"JSON decode error: {e}"
 
-        logger.info(f"LLM request: {prompt}")
+        logger.debug(f"LLM request: {prompt}")
         retry_prompt = ""
         llm_model = input_data.model
 
         for retry_count in range(input_data.retry):
             try:
-                response_text, input_token, output_token = self.llm_call(
+                llm_response = await self.llm_call(
                     credentials=credentials,
                     llm_model=llm_model,
                     prompt=prompt,
+                    compress_prompt_to_fit=input_data.compress_prompt_to_fit,
                     json_format=bool(input_data.expected_format),
                     ollama_host=input_data.ollama_host,
                     max_tokens=input_data.max_tokens,
                 )
+                response_text = llm_response.response
                 self.merge_stats(
-                    {
-                        "input_token_count": input_token,
-                        "output_token_count": output_token,
-                    }
+                    NodeExecutionStats(
+                        input_token_count=llm_response.prompt_tokens,
+                        output_token_count=llm_response.completion_tokens,
+                    )
                 )
-                logger.info(f"LLM attempt-{retry_count} response: {response_text}")
+                logger.debug(f"LLM attempt-{retry_count} response: {response_text}")
 
                 if input_data.expected_format:
-                    parsed_dict, parsed_error = parse_response(response_text)
-                    if not parsed_error:
-                        yield "response", {
-                            k: (
-                                json.loads(v)
-                                if isinstance(v, str)
-                                and v.startswith("[")
-                                and v.endswith("]")
-                                else (", ".join(v) if isinstance(v, list) else v)
+
+                    response_obj = json.loads(response_text)
+
+                    if input_data.list_result and isinstance(response_obj, dict):
+                        if "results" in response_obj:
+                            response_obj = response_obj.get("results", [])
+                        elif len(response_obj) == 1:
+                            response_obj = list(response_obj.values())
+
+                    response_error = "\n".join(
+                        [
+                            validation_error
+                            for response_item in (
+                                response_obj
+                                if isinstance(response_obj, list)
+                                else [response_obj]
                             )
-                            for k, v in parsed_dict.items()
-                        }
+                            if (validation_error := validate_response(response_item))
+                        ]
+                    )
+
+                    if not response_error:
+                        self.merge_stats(
+                            NodeExecutionStats(
+                                llm_call_count=retry_count + 1,
+                                llm_retry_count=retry_count,
+                            )
+                        )
+                        yield "response", response_obj
+                        yield "prompt", self.prompt
                         return
                 else:
+                    self.merge_stats(
+                        NodeExecutionStats(
+                            llm_call_count=retry_count + 1,
+                            llm_retry_count=retry_count,
+                        )
+                    )
                     yield "response", {"response": response_text}
+                    yield "prompt", self.prompt
                     return
 
                 retry_prompt = trim_prompt(
@@ -533,26 +1021,29 @@ def parse_response(resp: str) -> tuple[dict[str, Any], str | None]:
                   |
                   |And this is the error:
                   |--
-                  |{parsed_error}
+                  |{response_error}
                   |--
                 """
                 )
                 prompt.append({"role": "user", "content": retry_prompt})
             except Exception as e:
                 logger.exception(f"Error calling LLM: {e}")
+                if (
+                    "maximum context length" in str(e).lower()
+                    or "token limit" in str(e).lower()
+                ):
+                    if input_data.max_tokens is None:
+                        input_data.max_tokens = llm_model.max_output_tokens or 4096
+                    input_data.max_tokens = int(input_data.max_tokens * 0.85)
+                    logger.debug(
+                        f"Reducing max_tokens to {input_data.max_tokens} for next attempt"
+                    )
                 retry_prompt = f"Error calling LLM: {e}"
-            finally:
-                self.merge_stats(
-                    {
-                        "llm_call_count": retry_count + 1,
-                        "llm_retry_count": retry_count,
-                    }
-                )
 
         raise RuntimeError(retry_prompt)
 
 
-class AITextGeneratorBlock(Block):
+class AITextGeneratorBlock(AIBlockBase):
     class Input(BlockSchema):
         prompt: str = SchemaField(
             description="The prompt to send to the language model. You can use any of the {keys} from Prompt Values to fill in the prompt with values from the prompt values dictionary by putting them in curly braces.",
@@ -560,7 +1051,7 @@ class Input(BlockSchema):
         )
         model: LlmModel = SchemaField(
             title="LLM Model",
-            default=LlmModel.GPT4_TURBO,
+            default=LlmModel.GPT4O,
             description="The language model to use for answering the prompt.",
             advanced=False,
         )
@@ -576,7 +1067,9 @@ class Input(BlockSchema):
             description="Number of times to retry the LLM call if the response does not match the expected format.",
         )
         prompt_values: dict[str, str] = SchemaField(
-            advanced=False, default={}, description="Values used to fill in the prompt."
+            advanced=False,
+            default_factory=dict,
+            description="Values used to fill in the prompt. The values can be used in the prompt by putting them in a double curly braces, e.g. {{variable_name}}.",
         )
         ollama_host: str = SchemaField(
             advanced=True,
@@ -593,6 +1086,7 @@ class Output(BlockSchema):
         response: str = SchemaField(
             description="The response generated by the language model."
         )
+        prompt: list = SchemaField(description="The prompt sent to the language model.")
         error: str = SchemaField(description="Error message if the API call failed.")
 
     def __init__(self):
@@ -607,28 +1101,36 @@ def __init__(self):
                 "credentials": TEST_CREDENTIALS_INPUT,
             },
             test_credentials=TEST_CREDENTIALS,
-            test_output=("response", "Response text"),
+            test_output=[
+                ("response", "Response text"),
+                ("prompt", list),
+            ],
             test_mock={"llm_call": lambda *args, **kwargs: "Response text"},
         )
 
-    def llm_call(
+    async def llm_call(
         self,
         input_data: AIStructuredResponseGeneratorBlock.Input,
         credentials: APIKeyCredentials,
-    ) -> str:
+    ) -> dict:
         block = AIStructuredResponseGeneratorBlock()
-        response = block.run_once(input_data, "response", credentials=credentials)
-        self.merge_stats(block.execution_stats)
+        response = await block.run_once(input_data, "response", credentials=credentials)
+        self.merge_llm_stats(block)
         return response["response"]
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         object_input_data = AIStructuredResponseGeneratorBlock.Input(
-            **{attr: getattr(input_data, attr) for attr in input_data.model_fields},
+            **{
+                attr: getattr(input_data, attr)
+                for attr in AITextGeneratorBlock.Input.model_fields
+            },
             expected_format={},
         )
-        yield "response", self.llm_call(object_input_data, credentials)
+        response = await self.llm_call(object_input_data, credentials)
+        yield "response", response
+        yield "prompt", self.prompt
 
 
 class SummaryStyle(Enum):
@@ -638,7 +1140,7 @@ class SummaryStyle(Enum):
     NUMBERED_LIST = "numbered list"
 
 
-class AITextSummarizerBlock(Block):
+class AITextSummarizerBlock(AIBlockBase):
     class Input(BlockSchema):
         text: str = SchemaField(
             description="The text to summarize.",
@@ -646,7 +1148,7 @@ class Input(BlockSchema):
         )
         model: LlmModel = SchemaField(
             title="LLM Model",
-            default=LlmModel.GPT4_TURBO,
+            default=LlmModel.GPT4O,
             description="The language model to use for summarizing the text.",
         )
         focus: str = SchemaField(
@@ -681,6 +1183,7 @@ class Input(BlockSchema):
 
     class Output(BlockSchema):
         summary: str = SchemaField(description="The final summary of the text.")
+        prompt: list = SchemaField(description="The prompt sent to the language model.")
         error: str = SchemaField(description="Error message if the API call failed.")
 
     def __init__(self):
@@ -695,7 +1198,10 @@ def __init__(self):
                 "credentials": TEST_CREDENTIALS_INPUT,
             },
             test_credentials=TEST_CREDENTIALS,
-            test_output=("summary", "Final summary of a long text"),
+            test_output=[
+                ("summary", "Final summary of a long text"),
+                ("prompt", list),
+            ],
             test_mock={
                 "llm_call": lambda input_data, credentials: (
                     {"final_summary": "Final summary of a long text"}
@@ -705,24 +1211,29 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
-        for output in self._run(input_data, credentials):
-            yield output
+        async for output_name, output_data in self._run(input_data, credentials):
+            yield output_name, output_data
 
-    def _run(self, input_data: Input, credentials: APIKeyCredentials) -> BlockOutput:
+    async def _run(
+        self, input_data: Input, credentials: APIKeyCredentials
+    ) -> BlockOutput:
         chunks = self._split_text(
             input_data.text, input_data.max_tokens, input_data.chunk_overlap
         )
         summaries = []
 
         for chunk in chunks:
-            chunk_summary = self._summarize_chunk(chunk, input_data, credentials)
+            chunk_summary = await self._summarize_chunk(chunk, input_data, credentials)
             summaries.append(chunk_summary)
 
-        final_summary = self._combine_summaries(summaries, input_data, credentials)
+        final_summary = await self._combine_summaries(
+            summaries, input_data, credentials
+        )
         yield "summary", final_summary
+        yield "prompt", self.prompt
 
     @staticmethod
     def _split_text(text: str, max_tokens: int, overlap: int) -> list[str]:
@@ -736,22 +1247,22 @@ def _split_text(text: str, max_tokens: int, overlap: int) -> list[str]:
 
         return chunks
 
-    def llm_call(
+    async def llm_call(
         self,
         input_data: AIStructuredResponseGeneratorBlock.Input,
         credentials: APIKeyCredentials,
     ) -> dict:
         block = AIStructuredResponseGeneratorBlock()
-        response = block.run_once(input_data, "response", credentials=credentials)
-        self.merge_stats(block.execution_stats)
+        response = await block.run_once(input_data, "response", credentials=credentials)
+        self.merge_llm_stats(block)
         return response
 
-    def _summarize_chunk(
+    async def _summarize_chunk(
         self, chunk: str, input_data: Input, credentials: APIKeyCredentials
     ) -> str:
         prompt = f"Summarize the following text in a {input_data.style} form. Focus your summary on the topic of `{input_data.focus}` if present, otherwise just provide a general summary:\n\n```{chunk}```"
 
-        llm_response = self.llm_call(
+        llm_response = await self.llm_call(
             AIStructuredResponseGeneratorBlock.Input(
                 prompt=prompt,
                 credentials=input_data.credentials,
@@ -763,7 +1274,7 @@ def _summarize_chunk(
 
         return llm_response["summary"]
 
-    def _combine_summaries(
+    async def _combine_summaries(
         self, summaries: list[str], input_data: Input, credentials: APIKeyCredentials
     ) -> str:
         combined_text = "\n\n".join(summaries)
@@ -771,7 +1282,7 @@ def _combine_summaries(
         if len(combined_text.split()) <= input_data.max_tokens:
             prompt = f"Provide a final summary of the following section summaries in a {input_data.style} form, focus your summary on the topic of `{input_data.focus}` if present:\n\n ```{combined_text}```\n\n Just respond with the final_summary in the format specified."
 
-            llm_response = self.llm_call(
+            llm_response = await self.llm_call(
                 AIStructuredResponseGeneratorBlock.Input(
                     prompt=prompt,
                     credentials=input_data.credentials,
@@ -786,7 +1297,8 @@ def _combine_summaries(
             return llm_response["final_summary"]
         else:
             # If combined summaries are still too long, recursively summarize
-            return self._run(
+            block = AITextSummarizerBlock()
+            return await block.run_once(
                 AITextSummarizerBlock.Input(
                     text=combined_text,
                     credentials=input_data.credentials,
@@ -794,20 +1306,25 @@ def _combine_summaries(
                     max_tokens=input_data.max_tokens,
                     chunk_overlap=input_data.chunk_overlap,
                 ),
+                "summary",
                 credentials=credentials,
-            ).send(None)[
-                1
-            ]  # Get the first yielded value
+            )
 
 
-class AIConversationBlock(Block):
+class AIConversationBlock(AIBlockBase):
     class Input(BlockSchema):
-        messages: List[Message] = SchemaField(
-            description="List of messages in the conversation.", min_length=1
+        prompt: str = SchemaField(
+            description="The prompt to send to the language model.",
+            placeholder="Enter your prompt here...",
+            default="",
+            advanced=False,
+        )
+        messages: List[Any] = SchemaField(
+            description="List of messages in the conversation.",
         )
         model: LlmModel = SchemaField(
             title="LLM Model",
-            default=LlmModel.GPT4_TURBO,
+            default=LlmModel.GPT4O,
             description="The language model to use for the conversation.",
         )
         credentials: AICredentials = AICredentialsField()
@@ -826,6 +1343,7 @@ class Output(BlockSchema):
         response: str = SchemaField(
             description="The model's response to the conversation."
         )
+        prompt: list = SchemaField(description="The prompt sent to the language model.")
         error: str = SchemaField(description="Error message if the API call failed.")
 
     def __init__(self):
@@ -845,48 +1363,52 @@ def __init__(self):
                     },
                     {"role": "user", "content": "Where was it played?"},
                 ],
-                "model": LlmModel.GPT4_TURBO,
+                "model": LlmModel.GPT4O,
                 "credentials": TEST_CREDENTIALS_INPUT,
             },
             test_credentials=TEST_CREDENTIALS,
-            test_output=(
-                "response",
-                "The 2020 World Series was played at Globe Life Field in Arlington, Texas.",
-            ),
+            test_output=[
+                (
+                    "response",
+                    "The 2020 World Series was played at Globe Life Field in Arlington, Texas.",
+                ),
+                ("prompt", list),
+            ],
             test_mock={
                 "llm_call": lambda *args, **kwargs: "The 2020 World Series was played at Globe Life Field in Arlington, Texas."
             },
         )
 
-    def llm_call(
+    async def llm_call(
         self,
         input_data: AIStructuredResponseGeneratorBlock.Input,
         credentials: APIKeyCredentials,
-    ) -> str:
+    ) -> dict:
         block = AIStructuredResponseGeneratorBlock()
-        response = block.run_once(input_data, "response", credentials=credentials)
-        self.merge_stats(block.execution_stats)
-        return response["response"]
+        response = await block.run_once(input_data, "response", credentials=credentials)
+        self.merge_llm_stats(block)
+        return response
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
-        response = self.llm_call(
+        response = await self.llm_call(
             AIStructuredResponseGeneratorBlock.Input(
-                prompt="",
+                prompt=input_data.prompt,
                 credentials=input_data.credentials,
                 model=input_data.model,
                 conversation_history=input_data.messages,
                 max_tokens=input_data.max_tokens,
                 expected_format={},
+                ollama_host=input_data.ollama_host,
             ),
             credentials=credentials,
         )
-
         yield "response", response
+        yield "prompt", self.prompt
 
 
-class AIListGeneratorBlock(Block):
+class AIListGeneratorBlock(AIBlockBase):
     class Input(BlockSchema):
         focus: str | None = SchemaField(
             description="The focus of the list to generate.",
@@ -902,7 +1424,7 @@ class Input(BlockSchema):
         )
         model: LlmModel = SchemaField(
             title="LLM Model",
-            default=LlmModel.GPT4_TURBO,
+            default=LlmModel.GPT4O,
             description="The language model to use for generating the list.",
             advanced=True,
         )
@@ -929,6 +1451,7 @@ class Output(BlockSchema):
         list_item: str = SchemaField(
             description="Each individual item in the list.",
         )
+        prompt: list = SchemaField(description="The prompt sent to the language model.")
         error: str = SchemaField(
             description="Error message if the list generation failed."
         )
@@ -950,7 +1473,7 @@ def __init__(self):
                     "drawing explorers to uncover its mysteries. Each planet showcases the limitless possibilities of "
                     "fictional worlds."
                 ),
-                "model": LlmModel.GPT4_TURBO,
+                "model": LlmModel.GPT4O,
                 "credentials": TEST_CREDENTIALS_INPUT,
                 "max_retries": 3,
             },
@@ -960,6 +1483,7 @@ def __init__(self):
                     "generated_list",
                     ["Zylora Prime", "Kharon-9", "Vortexia", "Oceara", "Draknos"],
                 ),
+                ("prompt", list),
                 ("list_item", "Zylora Prime"),
                 ("list_item", "Kharon-9"),
                 ("list_item", "Vortexia"),
@@ -973,13 +1497,16 @@ def __init__(self):
             },
         )
 
-    @staticmethod
-    def llm_call(
+    async def llm_call(
+        self,
         input_data: AIStructuredResponseGeneratorBlock.Input,
         credentials: APIKeyCredentials,
     ) -> dict[str, str]:
         llm_block = AIStructuredResponseGeneratorBlock()
-        response = llm_block.run_once(input_data, "response", credentials=credentials)
+        response = await llm_block.run_once(
+            input_data, "response", credentials=credentials
+        )
+        self.merge_llm_stats(llm_block)
         return response
 
     @staticmethod
@@ -1001,7 +1528,7 @@ def string_to_list(string):
             logger.error(f"Failed to convert string to list: {e}")
             raise ValueError("Invalid list format. Could not convert to list.")
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         logger.debug(f"Starting AIListGeneratorBlock.run with input data: {input_data}")
@@ -1067,7 +1594,7 @@ def run(
         for attempt in range(input_data.max_retries):
             try:
                 logger.debug("Calling LLM")
-                llm_response = self.llm_call(
+                llm_response = await self.llm_call(
                     AIStructuredResponseGeneratorBlock.Input(
                         sys_prompt=sys_prompt,
                         prompt=prompt,
@@ -1093,6 +1620,7 @@ def run(
                 # If we reach here, we have a valid Python list
                 logger.debug("Successfully generated a valid Python list")
                 yield "generated_list", parsed_list
+                yield "prompt", self.prompt
 
                 # Yield each item in the list
                 for item in parsed_list:
diff --git a/autogpt_platform/backend/backend/blocks/maths.py b/autogpt_platform/backend/backend/blocks/maths.py
index cb65de1c0965..0559d9673d02 100644
--- a/autogpt_platform/backend/backend/blocks/maths.py
+++ b/autogpt_platform/backend/backend/blocks/maths.py
@@ -52,7 +52,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         operation = input_data.operation
         a = input_data.a
         b = input_data.b
@@ -107,7 +107,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         collection = input_data.collection
 
         try:
diff --git a/autogpt_platform/backend/backend/blocks/media.py b/autogpt_platform/backend/backend/blocks/media.py
new file mode 100644
index 000000000000..d642eac5e4a3
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/media.py
@@ -0,0 +1,254 @@
+import os
+import tempfile
+from typing import Literal, Optional
+
+from moviepy.audio.io.AudioFileClip import AudioFileClip
+from moviepy.video.fx.Loop import Loop
+from moviepy.video.io.VideoFileClip import VideoFileClip
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.file import MediaFileType, get_exec_file_path, store_media_file
+
+
+class MediaDurationBlock(Block):
+
+    class Input(BlockSchema):
+        media_in: MediaFileType = SchemaField(
+            description="Media input (URL, data URI, or local path)."
+        )
+        is_video: bool = SchemaField(
+            description="Whether the media is a video (True) or audio (False).",
+            default=True,
+        )
+
+    class Output(BlockSchema):
+        duration: float = SchemaField(
+            description="Duration of the media file (in seconds)."
+        )
+        error: str = SchemaField(
+            description="Error message if something fails.", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="d8b91fd4-da26-42d4-8ecb-8b196c6d84b6",
+            description="Block to get the duration of a media file.",
+            categories={BlockCategory.MULTIMEDIA},
+            input_schema=MediaDurationBlock.Input,
+            output_schema=MediaDurationBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        # 1) Store the input media locally
+        local_media_path = await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.media_in,
+            user_id=user_id,
+            return_content=False,
+        )
+        media_abspath = get_exec_file_path(graph_exec_id, local_media_path)
+
+        # 2) Load the clip
+        if input_data.is_video:
+            clip = VideoFileClip(media_abspath)
+        else:
+            clip = AudioFileClip(media_abspath)
+
+        yield "duration", clip.duration
+
+
+class LoopVideoBlock(Block):
+    """
+    Block for looping (repeating) a video clip until a given duration or number of loops.
+    """
+
+    class Input(BlockSchema):
+        video_in: MediaFileType = SchemaField(
+            description="The input video (can be a URL, data URI, or local path)."
+        )
+        # Provide EITHER a `duration` or `n_loops` or both. We'll demonstrate `duration`.
+        duration: Optional[float] = SchemaField(
+            description="Target duration (in seconds) to loop the video to. If omitted, defaults to no looping.",
+            default=None,
+            ge=0.0,
+        )
+        n_loops: Optional[int] = SchemaField(
+            description="Number of times to repeat the video. If omitted, defaults to 1 (no repeat).",
+            default=None,
+            ge=1,
+        )
+        output_return_type: Literal["file_path", "data_uri"] = SchemaField(
+            description="How to return the output video. Either a relative path or base64 data URI.",
+            default="file_path",
+        )
+
+    class Output(BlockSchema):
+        video_out: str = SchemaField(
+            description="Looped video returned either as a relative path or a data URI."
+        )
+        error: str = SchemaField(
+            description="Error message if something fails.", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="8bf9eef6-5451-4213-b265-25306446e94b",
+            description="Block to loop a video to a given duration or number of repeats.",
+            categories={BlockCategory.MULTIMEDIA},
+            input_schema=LoopVideoBlock.Input,
+            output_schema=LoopVideoBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        node_exec_id: str,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        # 1) Store the input video locally
+        local_video_path = await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.video_in,
+            user_id=user_id,
+            return_content=False,
+        )
+        input_abspath = get_exec_file_path(graph_exec_id, local_video_path)
+
+        # 2) Load the clip
+        clip = VideoFileClip(input_abspath)
+
+        # 3) Apply the loop effect
+        looped_clip = clip
+        if input_data.duration:
+            # Loop until we reach the specified duration
+            looped_clip = looped_clip.with_effects([Loop(duration=input_data.duration)])
+        elif input_data.n_loops:
+            looped_clip = looped_clip.with_effects([Loop(n=input_data.n_loops)])
+        else:
+            raise ValueError("Either 'duration' or 'n_loops' must be provided.")
+
+        assert isinstance(looped_clip, VideoFileClip)
+
+        # 4) Save the looped output
+        output_filename = MediaFileType(
+            f"{node_exec_id}_looped_{os.path.basename(local_video_path)}"
+        )
+        output_abspath = get_exec_file_path(graph_exec_id, output_filename)
+
+        looped_clip = looped_clip.with_audio(clip.audio)
+        looped_clip.write_videofile(output_abspath, codec="libx264", audio_codec="aac")
+
+        # Return as data URI
+        video_out = await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=output_filename,
+            user_id=user_id,
+            return_content=input_data.output_return_type == "data_uri",
+        )
+
+        yield "video_out", video_out
+
+
+class AddAudioToVideoBlock(Block):
+    """
+    Block that adds (attaches) an audio track to an existing video.
+    Optionally scale the volume of the new track.
+    """
+
+    class Input(BlockSchema):
+        video_in: MediaFileType = SchemaField(
+            description="Video input (URL, data URI, or local path)."
+        )
+        audio_in: MediaFileType = SchemaField(
+            description="Audio input (URL, data URI, or local path)."
+        )
+        volume: float = SchemaField(
+            description="Volume scale for the newly attached audio track (1.0 = original).",
+            default=1.0,
+        )
+        output_return_type: Literal["file_path", "data_uri"] = SchemaField(
+            description="Return the final output as a relative path or base64 data URI.",
+            default="file_path",
+        )
+
+    class Output(BlockSchema):
+        video_out: MediaFileType = SchemaField(
+            description="Final video (with attached audio), as a path or data URI."
+        )
+        error: str = SchemaField(
+            description="Error message if something fails.", default=""
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="3503748d-62b6-4425-91d6-725b064af509",
+            description="Block to attach an audio file to a video file using moviepy.",
+            categories={BlockCategory.MULTIMEDIA},
+            input_schema=AddAudioToVideoBlock.Input,
+            output_schema=AddAudioToVideoBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        node_exec_id: str,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        # 1) Store the inputs locally
+        local_video_path = await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.video_in,
+            user_id=user_id,
+            return_content=False,
+        )
+        local_audio_path = await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=input_data.audio_in,
+            user_id=user_id,
+            return_content=False,
+        )
+
+        abs_temp_dir = os.path.join(tempfile.gettempdir(), "exec_file", graph_exec_id)
+        video_abspath = os.path.join(abs_temp_dir, local_video_path)
+        audio_abspath = os.path.join(abs_temp_dir, local_audio_path)
+
+        # 2) Load video + audio with moviepy
+        video_clip = VideoFileClip(video_abspath)
+        audio_clip = AudioFileClip(audio_abspath)
+        # Optionally scale volume
+        if input_data.volume != 1.0:
+            audio_clip = audio_clip.with_volume_scaled(input_data.volume)
+
+        # 3) Attach the new audio track
+        final_clip = video_clip.with_audio(audio_clip)
+
+        # 4) Write to output file
+        output_filename = MediaFileType(
+            f"{node_exec_id}_audio_attached_{os.path.basename(local_video_path)}"
+        )
+        output_abspath = os.path.join(abs_temp_dir, output_filename)
+        final_clip.write_videofile(output_abspath, codec="libx264", audio_codec="aac")
+
+        # 5) Return either path or data URI
+        video_out = await store_media_file(
+            graph_exec_id=graph_exec_id,
+            file=output_filename,
+            user_id=user_id,
+            return_content=input_data.output_return_type == "data_uri",
+        )
+
+        yield "video_out", video_out
diff --git a/autogpt_platform/backend/backend/blocks/medium.py b/autogpt_platform/backend/backend/blocks/medium.py
index 6d871b4caac5..a8964ca940a1 100644
--- a/autogpt_platform/backend/backend/blocks/medium.py
+++ b/autogpt_platform/backend/backend/blocks/medium.py
@@ -13,7 +13,7 @@
     SecretField,
 )
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
@@ -130,7 +130,7 @@ def __init__(self):
             test_credentials=TEST_CREDENTIALS,
         )
 
-    def create_post(
+    async def create_post(
         self,
         api_key: SecretStr,
         author_id,
@@ -160,18 +160,17 @@ def create_post(
             "notifyFollowers": notify_followers,
         }
 
-        response = requests.post(
+        response = await Requests().post(
             f"https://api.medium.com/v1/users/{author_id}/posts",
             headers=headers,
             json=data,
         )
-
         return response.json()
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
-        response = self.create_post(
+        response = await self.create_post(
             credentials.api_key,
             input_data.author_id.get_secret_value(),
             input_data.title,
diff --git a/autogpt_platform/backend/backend/blocks/mem0.py b/autogpt_platform/backend/backend/blocks/mem0.py
new file mode 100644
index 000000000000..0aae1c316a11
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/mem0.py
@@ -0,0 +1,466 @@
+from typing import Any, Literal, Optional, Union
+
+from mem0 import MemoryClient
+from pydantic import BaseModel, SecretStr
+
+from backend.data.block import Block, BlockOutput, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="8cc8b2c5-d3e4-4b1c-84ad-e1e9fe2a0122",
+    provider="mem0",
+    api_key=SecretStr("mock-mem0-api-key"),
+    title="Mock Mem0 API key",
+    expires_at=None,
+)
+
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
+
+
+class Mem0Base:
+    """Base class with shared utilities for Mem0 blocks"""
+
+    @staticmethod
+    def _get_client(credentials: APIKeyCredentials) -> MemoryClient:
+        """Get initialized Mem0 client"""
+        return MemoryClient(api_key=credentials.api_key.get_secret_value())
+
+
+Filter = dict[str, list[dict[str, str | dict[str, list[str]]]]]
+
+
+class Conversation(BaseModel):
+    discriminator: Literal["conversation"]
+    messages: list[dict[str, str]]
+
+
+class Content(BaseModel):
+    discriminator: Literal["content"]
+    content: str
+
+
+class AddMemoryBlock(Block, Mem0Base):
+    """Block for adding memories to Mem0
+
+    Always limited by user_id and optional graph_id and graph_exec_id"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.MEM0], Literal["api_key"]
+        ] = CredentialsField(description="Mem0 API key credentials")
+        content: Union[Content, Conversation] = SchemaField(
+            discriminator="discriminator",
+            description="Content to add - either a string or list of message objects as output from an AI block",
+            default=Content(discriminator="content", content="I'm a vegetarian"),
+        )
+        metadata: dict[str, Any] = SchemaField(
+            description="Optional metadata for the memory", default_factory=dict
+        )
+        limit_memory_to_run: bool = SchemaField(
+            description="Limit the memory to the run", default=False
+        )
+        limit_memory_to_agent: bool = SchemaField(
+            description="Limit the memory to the agent", default=True
+        )
+
+    class Output(BlockSchema):
+        action: str = SchemaField(description="Action of the operation")
+        memory: str = SchemaField(description="Memory created")
+        results: list[dict[str, str]] = SchemaField(
+            description="List of all results from the operation"
+        )
+        error: str = SchemaField(description="Error message if operation fails")
+
+    def __init__(self):
+        super().__init__(
+            id="dce97578-86be-45a4-ae50-f6de33fc935a",
+            description="Add new memories to Mem0 with user segmentation",
+            input_schema=AddMemoryBlock.Input,
+            output_schema=AddMemoryBlock.Output,
+            test_input=[
+                {
+                    "content": {
+                        "discriminator": "conversation",
+                        "messages": [{"role": "user", "content": "I'm a vegetarian"}],
+                    },
+                    "metadata": {"food": "vegetarian"},
+                    "credentials": TEST_CREDENTIALS_INPUT,
+                },
+                {
+                    "content": {
+                        "discriminator": "content",
+                        "content": "I am a vegetarian",
+                    },
+                    "metadata": {"food": "vegetarian"},
+                    "credentials": TEST_CREDENTIALS_INPUT,
+                },
+            ],
+            test_output=[
+                ("results", [{"event": "CREATED", "memory": "test memory"}]),
+                ("action", "CREATED"),
+                ("memory", "test memory"),
+                ("results", [{"event": "CREATED", "memory": "test memory"}]),
+                ("action", "CREATED"),
+                ("memory", "test memory"),
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={"_get_client": lambda credentials: MockMemoryClient()},
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        user_id: str,
+        graph_id: str,
+        graph_exec_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            client = self._get_client(credentials)
+
+            if isinstance(input_data.content, Conversation):
+                messages = input_data.content.messages
+            elif isinstance(input_data.content, Content):
+                messages = [{"role": "user", "content": input_data.content.content}]
+            else:
+                messages = [{"role": "user", "content": str(input_data.content)}]
+
+            params = {
+                "user_id": user_id,
+                "output_format": "v1.1",
+                "metadata": input_data.metadata,
+            }
+
+            if input_data.limit_memory_to_run:
+                params["run_id"] = graph_exec_id
+            if input_data.limit_memory_to_agent:
+                params["agent_id"] = graph_id
+
+            # Use the client to add memory
+            result = client.add(
+                messages,
+                **params,
+            )
+
+            results = result.get("results", [])
+            yield "results", results
+
+            if len(results) > 0:
+                for result in results:
+                    yield "action", result["event"]
+                    yield "memory", result["memory"]
+            else:
+                yield "action", "NO_CHANGE"
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class SearchMemoryBlock(Block, Mem0Base):
+    """Block for searching memories in Mem0"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.MEM0], Literal["api_key"]
+        ] = CredentialsField(description="Mem0 API key credentials")
+        query: str = SchemaField(
+            description="Search query",
+            advanced=False,
+        )
+        trigger: bool = SchemaField(
+            description="An unused field that is used to (re-)trigger the block when you have no other inputs",
+            default=False,
+            advanced=False,
+        )
+        categories_filter: list[str] = SchemaField(
+            description="Categories to filter by",
+            default_factory=list,
+            advanced=True,
+        )
+        metadata_filter: Optional[dict[str, Any]] = SchemaField(
+            description="Optional metadata filters to apply",
+            default=None,
+        )
+        limit_memory_to_run: bool = SchemaField(
+            description="Limit the memory to the run", default=False
+        )
+        limit_memory_to_agent: bool = SchemaField(
+            description="Limit the memory to the agent", default=True
+        )
+
+    class Output(BlockSchema):
+        memories: Any = SchemaField(description="List of matching memories")
+        error: str = SchemaField(description="Error message if operation fails")
+
+    def __init__(self):
+        super().__init__(
+            id="bd7c84e3-e073-4b75-810c-600886ec8a5b",
+            description="Search memories in Mem0 by user",
+            input_schema=SearchMemoryBlock.Input,
+            output_schema=SearchMemoryBlock.Output,
+            test_input={
+                "query": "vegetarian preferences",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "top_k": 10,
+                "rerank": True,
+            },
+            test_output=[
+                ("memories", [{"id": "test-memory", "content": "test content"}])
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={"_get_client": lambda credentials: MockMemoryClient()},
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        user_id: str,
+        graph_id: str,
+        graph_exec_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            client = self._get_client(credentials)
+
+            filters: Filter = {
+                # This works with only one filter, so we can allow others to add on later
+                "AND": [
+                    {"user_id": user_id},
+                ]
+            }
+            if input_data.categories_filter:
+                filters["AND"].append(
+                    {"categories": {"contains": input_data.categories_filter}}
+                )
+            if input_data.limit_memory_to_run:
+                filters["AND"].append({"run_id": graph_exec_id})
+            if input_data.limit_memory_to_agent:
+                filters["AND"].append({"agent_id": graph_id})
+            if input_data.metadata_filter:
+                filters["AND"].append({"metadata": input_data.metadata_filter})
+
+            result: list[dict[str, Any]] = client.search(
+                input_data.query, version="v2", filters=filters
+            )
+            yield "memories", result
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GetAllMemoriesBlock(Block, Mem0Base):
+    """Block for retrieving all memories from Mem0"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.MEM0], Literal["api_key"]
+        ] = CredentialsField(description="Mem0 API key credentials")
+        trigger: bool = SchemaField(
+            description="An unused field that is used to trigger the block when you have no other inputs",
+            default=False,
+            advanced=False,
+        )
+        categories: Optional[list[str]] = SchemaField(
+            description="Filter by categories", default=None
+        )
+        metadata_filter: Optional[dict[str, Any]] = SchemaField(
+            description="Optional metadata filters to apply",
+            default=None,
+        )
+        limit_memory_to_run: bool = SchemaField(
+            description="Limit the memory to the run", default=False
+        )
+        limit_memory_to_agent: bool = SchemaField(
+            description="Limit the memory to the agent", default=True
+        )
+
+    class Output(BlockSchema):
+        memories: Any = SchemaField(description="List of memories")
+        error: str = SchemaField(description="Error message if operation fails")
+
+    def __init__(self):
+        super().__init__(
+            id="45aee5bf-4767-45d1-a28b-e01c5aae9fc1",
+            description="Retrieve all memories from Mem0 with optional conversation filtering",
+            input_schema=GetAllMemoriesBlock.Input,
+            output_schema=GetAllMemoriesBlock.Output,
+            test_input={
+                "metadata_filter": {"type": "test"},
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("memories", [{"id": "test-memory", "content": "test content"}]),
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={"_get_client": lambda credentials: MockMemoryClient()},
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        user_id: str,
+        graph_id: str,
+        graph_exec_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            client = self._get_client(credentials)
+
+            filters: Filter = {
+                "AND": [
+                    {"user_id": user_id},
+                ]
+            }
+            if input_data.limit_memory_to_run:
+                filters["AND"].append({"run_id": graph_exec_id})
+            if input_data.limit_memory_to_agent:
+                filters["AND"].append({"agent_id": graph_id})
+            if input_data.categories:
+                filters["AND"].append(
+                    {"categories": {"contains": input_data.categories}}
+                )
+            if input_data.metadata_filter:
+                filters["AND"].append({"metadata": input_data.metadata_filter})
+
+            memories: list[dict[str, Any]] = client.get_all(
+                filters=filters,
+                version="v2",
+            )
+
+            yield "memories", memories
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class GetLatestMemoryBlock(Block, Mem0Base):
+    """Block for retrieving the latest memory from Mem0"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.MEM0], Literal["api_key"]
+        ] = CredentialsField(description="Mem0 API key credentials")
+        trigger: bool = SchemaField(
+            description="An unused field that is used to trigger the block when you have no other inputs",
+            default=False,
+            advanced=False,
+        )
+        categories: Optional[list[str]] = SchemaField(
+            description="Filter by categories", default=None
+        )
+        conversation_id: Optional[str] = SchemaField(
+            description="Optional conversation ID to retrieve the latest memory from (uses run_id)",
+            default=None,
+        )
+        metadata_filter: Optional[dict[str, Any]] = SchemaField(
+            description="Optional metadata filters to apply",
+            default=None,
+        )
+        limit_memory_to_run: bool = SchemaField(
+            description="Limit the memory to the run", default=False
+        )
+        limit_memory_to_agent: bool = SchemaField(
+            description="Limit the memory to the agent", default=True
+        )
+
+    class Output(BlockSchema):
+        memory: Optional[dict[str, Any]] = SchemaField(
+            description="Latest memory if found"
+        )
+        found: bool = SchemaField(description="Whether a memory was found")
+        error: str = SchemaField(description="Error message if operation fails")
+
+    def __init__(self):
+        super().__init__(
+            id="0f9d81b5-a145-4c23-b87f-01d6bf37b677",
+            description="Retrieve the latest memory from Mem0 with optional key filtering",
+            input_schema=GetLatestMemoryBlock.Input,
+            output_schema=GetLatestMemoryBlock.Output,
+            test_input={
+                "metadata_filter": {"type": "test"},
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                ("memory", {"id": "test-memory", "content": "test content"}),
+                ("found", True),
+            ],
+            test_credentials=TEST_CREDENTIALS,
+            test_mock={"_get_client": lambda credentials: MockMemoryClient()},
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        user_id: str,
+        graph_id: str,
+        graph_exec_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            client = self._get_client(credentials)
+
+            filters: Filter = {
+                "AND": [
+                    {"user_id": user_id},
+                ]
+            }
+            if input_data.limit_memory_to_run:
+                filters["AND"].append({"run_id": graph_exec_id})
+            if input_data.limit_memory_to_agent:
+                filters["AND"].append({"agent_id": graph_id})
+            if input_data.categories:
+                filters["AND"].append(
+                    {"categories": {"contains": input_data.categories}}
+                )
+            if input_data.metadata_filter:
+                filters["AND"].append({"metadata": input_data.metadata_filter})
+
+            memories: list[dict[str, Any]] = client.get_all(
+                filters=filters,
+                version="v2",
+            )
+
+            if memories:
+                # Return the latest memory (first in the list as they're sorted by recency)
+                latest_memory = memories[0]
+                yield "memory", latest_memory
+                yield "found", True
+            else:
+                yield "memory", None
+                yield "found", False
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+# Mock client for testing
+class MockMemoryClient:
+    """Mock Mem0 client for testing"""
+
+    def add(self, *args, **kwargs):
+        return {"results": [{"event": "CREATED", "memory": "test memory"}]}
+
+    def search(self, *args, **kwargs) -> list[dict[str, Any]]:
+        return [{"id": "test-memory", "content": "test content"}]
+
+    def get_all(self, *args, **kwargs) -> list[dict[str, str]]:
+        return [{"id": "test-memory", "content": "test content"}]
diff --git a/autogpt_platform/backend/backend/blocks/nvidia/_auth.py b/autogpt_platform/backend/backend/blocks/nvidia/_auth.py
new file mode 100644
index 000000000000..46f28f009e0d
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/nvidia/_auth.py
@@ -0,0 +1,32 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import APIKeyCredentials, CredentialsField, CredentialsMetaInput
+from backend.integrations.providers import ProviderName
+
+NvidiaCredentials = APIKeyCredentials
+NvidiaCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.NVIDIA],
+    Literal["api_key"],
+]
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="nvidia",
+    api_key=SecretStr("mock-nvidia-api-key"),
+    title="Mock Nvidia API key",
+    expires_at=None,
+)
+
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
+
+
+def NvidiaCredentialsField() -> NvidiaCredentialsInput:
+    """Creates an Nvidia credentials input on a block."""
+    return CredentialsField(description="The Nvidia integration requires an API Key.")
diff --git a/autogpt_platform/backend/backend/blocks/nvidia/deepfake.py b/autogpt_platform/backend/backend/blocks/nvidia/deepfake.py
new file mode 100644
index 000000000000..f5205f6e72f6
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/nvidia/deepfake.py
@@ -0,0 +1,86 @@
+from backend.blocks.nvidia._auth import (
+    NvidiaCredentials,
+    NvidiaCredentialsField,
+    NvidiaCredentialsInput,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.request import Requests
+from backend.util.type import MediaFileType
+
+
+class NvidiaDeepfakeDetectBlock(Block):
+    class Input(BlockSchema):
+        credentials: NvidiaCredentialsInput = NvidiaCredentialsField()
+        image_base64: MediaFileType = SchemaField(
+            description="Image to analyze for deepfakes",
+        )
+        return_image: bool = SchemaField(
+            description="Whether to return the processed image with markings",
+            default=False,
+        )
+
+    class Output(BlockSchema):
+        status: str = SchemaField(
+            description="Detection status (SUCCESS, ERROR, CONTENT_FILTERED)",
+        )
+        image: MediaFileType = SchemaField(
+            description="Processed image with detection markings (if return_image=True)",
+        )
+        is_deepfake: float = SchemaField(
+            description="Probability that the image is a deepfake (0-1)",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="8c7d0d67-e79c-44f6-92a1-c2600c8aac7f",
+            description="Detects potential deepfakes in images using Nvidia's AI API",
+            categories={BlockCategory.SAFETY},
+            input_schema=NvidiaDeepfakeDetectBlock.Input,
+            output_schema=NvidiaDeepfakeDetectBlock.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: NvidiaCredentials, **kwargs
+    ) -> BlockOutput:
+        url = "https://ai.api.nvidia.com/v1/cv/hive/deepfake-image-detection"
+
+        headers = {
+            "accept": "application/json",
+            "content-type": "application/json",
+            "Authorization": f"Bearer {credentials.api_key.get_secret_value()}",
+        }
+
+        image_data = f"data:image/jpeg;base64,{input_data.image_base64}"
+
+        payload = {
+            "input": [image_data],
+            "return_image": input_data.return_image,
+        }
+
+        try:
+            response = await Requests().post(url, headers=headers, json=payload)
+            data = response.json()
+
+            result = data.get("data", [{}])[0]
+
+            # Get deepfake probability from first bounding box if any
+            deepfake_prob = 0.0
+            if result.get("bounding_boxes"):
+                deepfake_prob = result["bounding_boxes"][0].get("is_deepfake", 0.0)
+
+            yield "status", result.get("status", "ERROR")
+            yield "is_deepfake", deepfake_prob
+
+            if input_data.return_image:
+                image_data = result.get("image", "")
+                output_data = f"data:image/jpeg;base64,{image_data}"
+                yield "image", output_data
+            else:
+                yield "image", ""
+
+        except Exception as e:
+            yield "error", str(e)
+            yield "status", "ERROR"
+            yield "is_deepfake", 0.0
+            yield "image", ""
diff --git a/autogpt_platform/backend/backend/blocks/persistence.py b/autogpt_platform/backend/backend/blocks/persistence.py
new file mode 100644
index 000000000000..8b165569b560
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/persistence.py
@@ -0,0 +1,146 @@
+import logging
+from typing import Any, Literal
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.clients import get_database_manager_async_client
+
+logger = logging.getLogger(__name__)
+
+
+StorageScope = Literal["within_agent", "across_agents"]
+
+
+def get_storage_key(key: str, scope: StorageScope, graph_id: str) -> str:
+    """Generate the storage key based on scope"""
+    if scope == "across_agents":
+        return f"global#{key}"
+    else:
+        return f"agent#{graph_id}#{key}"
+
+
+class PersistInformationBlock(Block):
+    """Block for persisting key-value data for the current user with configurable scope"""
+
+    class Input(BlockSchema):
+        key: str = SchemaField(description="Key to store the information under")
+        value: Any = SchemaField(description="Value to store")
+        scope: StorageScope = SchemaField(
+            description="Scope of persistence: within_agent (shared across all runs of this agent) or across_agents (shared across all agents for this user)",
+            default="within_agent",
+        )
+
+    class Output(BlockSchema):
+        value: Any = SchemaField(description="Value that was stored")
+
+    def __init__(self):
+        super().__init__(
+            id="1d055e55-a2b9-4547-8311-907d05b0304d",
+            description="Persist key-value information for the current user",
+            categories={BlockCategory.DATA},
+            input_schema=PersistInformationBlock.Input,
+            output_schema=PersistInformationBlock.Output,
+            test_input={
+                "key": "user_preference",
+                "value": {"theme": "dark", "language": "en"},
+                "scope": "within_agent",
+            },
+            test_output=[
+                ("value", {"theme": "dark", "language": "en"}),
+            ],
+            test_mock={
+                "_store_data": lambda *args, **kwargs: {
+                    "theme": "dark",
+                    "language": "en",
+                }
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        user_id: str,
+        graph_id: str,
+        node_exec_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        # Determine the storage key based on scope
+        storage_key = get_storage_key(input_data.key, input_data.scope, graph_id)
+
+        # Store the data
+        yield "value", await self._store_data(
+            user_id=user_id,
+            node_exec_id=node_exec_id,
+            key=storage_key,
+            data=input_data.value,
+        )
+
+    async def _store_data(
+        self, user_id: str, node_exec_id: str, key: str, data: Any
+    ) -> Any | None:
+        return await get_database_manager_async_client().set_execution_kv_data(
+            user_id=user_id,
+            node_exec_id=node_exec_id,
+            key=key,
+            data=data,
+        )
+
+
+class RetrieveInformationBlock(Block):
+    """Block for retrieving key-value data for the current user with configurable scope"""
+
+    class Input(BlockSchema):
+        key: str = SchemaField(description="Key to retrieve the information for")
+        scope: StorageScope = SchemaField(
+            description="Scope of persistence: within_agent (shared across all runs of this agent) or across_agents (shared across all agents for this user)",
+            default="within_agent",
+        )
+        default_value: Any = SchemaField(
+            description="Default value to return if key is not found", default=None
+        )
+
+    class Output(BlockSchema):
+        value: Any = SchemaField(description="Retrieved value or default value")
+
+    def __init__(self):
+        super().__init__(
+            id="d8710fc9-6e29-481e-a7d5-165eb16f8471",
+            description="Retrieve key-value information for the current user",
+            categories={BlockCategory.DATA},
+            input_schema=RetrieveInformationBlock.Input,
+            output_schema=RetrieveInformationBlock.Output,
+            test_input={
+                "key": "user_preference",
+                "scope": "within_agent",
+                "default_value": {"theme": "light", "language": "en"},
+            },
+            test_output=[
+                ("value", {"theme": "light", "language": "en"}),
+            ],
+            test_mock={"_retrieve_data": lambda *args, **kwargs: None},
+            static_output=True,
+        )
+
+    async def run(
+        self, input_data: Input, *, user_id: str, graph_id: str, **kwargs
+    ) -> BlockOutput:
+        # Determine the storage key based on scope
+        storage_key = get_storage_key(input_data.key, input_data.scope, graph_id)
+
+        # Retrieve the data
+        stored_value = await self._retrieve_data(
+            user_id=user_id,
+            key=storage_key,
+        )
+
+        if stored_value is not None:
+            yield "value", stored_value
+        else:
+            yield "value", input_data.default_value
+
+    async def _retrieve_data(self, user_id: str, key: str) -> Any | None:
+        return await get_database_manager_async_client().get_execution_kv_data(
+            user_id=user_id,
+            key=key,
+        )
diff --git a/autogpt_platform/backend/backend/blocks/pinecone.py b/autogpt_platform/backend/backend/blocks/pinecone.py
index adfbc2e33fcd..529940b7cffc 100644
--- a/autogpt_platform/backend/backend/blocks/pinecone.py
+++ b/autogpt_platform/backend/backend/blocks/pinecone.py
@@ -56,7 +56,7 @@ def __init__(self):
             output_schema=PineconeInitBlock.Output,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         pc = Pinecone(api_key=credentials.api_key.get_secret_value())
@@ -117,7 +117,7 @@ def __init__(self):
             output_schema=PineconeQueryBlock.Output,
         )
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
@@ -177,7 +177,8 @@ class Input(BlockSchema):
             description="Namespace to use in Pinecone", default=""
         )
         metadata: dict = SchemaField(
-            description="Additional metadata to store with each vector", default={}
+            description="Additional metadata to store with each vector",
+            default_factory=dict,
         )
 
     class Output(BlockSchema):
@@ -194,7 +195,7 @@ def __init__(self):
             output_schema=PineconeInsertBlock.Output,
         )
 
-    def run(
+    async def run(
         self,
         input_data: Input,
         *,
diff --git a/autogpt_platform/backend/backend/blocks/reddit.py b/autogpt_platform/backend/backend/blocks/reddit.py
index 53c6e02a3212..b7fddf0d9a20 100644
--- a/autogpt_platform/backend/backend/blocks/reddit.py
+++ b/autogpt_platform/backend/backend/blocks/reddit.py
@@ -1,22 +1,48 @@
 from datetime import datetime, timezone
-from typing import Iterator
+from typing import Iterator, Literal
 
 import praw
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, SecretStr
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import BlockSecret, SchemaField, SecretField
+from backend.data.model import (
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+    UserPasswordCredentials,
+)
+from backend.integrations.providers import ProviderName
 from backend.util.mock import MockObject
+from backend.util.settings import Settings
 
+RedditCredentials = UserPasswordCredentials
+RedditCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.REDDIT],
+    Literal["user_password"],
+]
 
-class RedditCredentials(BaseModel):
-    client_id: BlockSecret = SecretField(key="reddit_client_id")
-    client_secret: BlockSecret = SecretField(key="reddit_client_secret")
-    username: BlockSecret = SecretField(key="reddit_username")
-    password: BlockSecret = SecretField(key="reddit_password")
-    user_agent: str = "AutoGPT:1.0 (by /u/autogpt)"
 
-    model_config = ConfigDict(title="Reddit Credentials")
+def RedditCredentialsField() -> RedditCredentialsInput:
+    """Creates a Reddit credentials input on a block."""
+    return CredentialsField(
+        description="The Reddit integration requires a username and password.",
+    )
+
+
+TEST_CREDENTIALS = UserPasswordCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="reddit",
+    username=SecretStr("mock-reddit-username"),
+    password=SecretStr("mock-reddit-password"),
+    title="Mock Reddit credentials",
+)
+
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
 
 
 class RedditPost(BaseModel):
@@ -31,13 +57,16 @@ class RedditComment(BaseModel):
     comment: str
 
 
+settings = Settings()
+
+
 def get_praw(creds: RedditCredentials) -> praw.Reddit:
     client = praw.Reddit(
-        client_id=creds.client_id.get_secret_value(),
-        client_secret=creds.client_secret.get_secret_value(),
+        client_id=settings.secrets.reddit_client_id,
+        client_secret=settings.secrets.reddit_client_secret,
         username=creds.username.get_secret_value(),
         password=creds.password.get_secret_value(),
-        user_agent=creds.user_agent,
+        user_agent=settings.config.reddit_user_agent,
     )
     me = client.user.me()
     if not me:
@@ -48,11 +77,11 @@ def get_praw(creds: RedditCredentials) -> praw.Reddit:
 
 class GetRedditPostsBlock(Block):
     class Input(BlockSchema):
-        subreddit: str = SchemaField(description="Subreddit name")
-        creds: RedditCredentials = SchemaField(
-            description="Reddit credentials",
-            default=RedditCredentials(),
+        subreddit: str = SchemaField(
+            description="Subreddit name, excluding the /r/ prefix",
+            default="writingprompts",
         )
+        credentials: RedditCredentialsInput = RedditCredentialsField()
         last_minutes: int | None = SchemaField(
             description="Post time to stop minutes ago while fetching posts",
             default=None,
@@ -67,23 +96,22 @@ class Input(BlockSchema):
 
     class Output(BlockSchema):
         post: RedditPost = SchemaField(description="Reddit post")
+        posts: list[RedditPost] = SchemaField(description="List of all Reddit posts")
 
     def __init__(self):
         super().__init__(
-            disabled=True,
             id="c6731acb-4285-4ee1-bc9b-03d0766c370f",
             description="This block fetches Reddit posts from a defined subreddit name.",
             categories={BlockCategory.SOCIAL},
+            disabled=(
+                not settings.secrets.reddit_client_id
+                or not settings.secrets.reddit_client_secret
+            ),
             input_schema=GetRedditPostsBlock.Input,
             output_schema=GetRedditPostsBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
             test_input={
-                "creds": {
-                    "client_id": "client_id",
-                    "client_secret": "client_secret",
-                    "username": "username",
-                    "password": "password",
-                    "user_agent": "user_agent",
-                },
+                "credentials": TEST_CREDENTIALS_INPUT,
                 "subreddit": "subreddit",
                 "last_post": "id3",
                 "post_limit": 2,
@@ -101,9 +129,26 @@ def __init__(self):
                         id="id2", subreddit="subreddit", title="title2", body="body2"
                     ),
                 ),
+                (
+                    "posts",
+                    [
+                        RedditPost(
+                            id="id1",
+                            subreddit="subreddit",
+                            title="title1",
+                            body="body1",
+                        ),
+                        RedditPost(
+                            id="id2",
+                            subreddit="subreddit",
+                            title="title2",
+                            body="body2",
+                        ),
+                    ],
+                ),
             ],
             test_mock={
-                "get_posts": lambda _: [
+                "get_posts": lambda input_data, credentials: [
                     MockObject(id="id1", title="title1", selftext="body1"),
                     MockObject(id="id2", title="title2", selftext="body2"),
                     MockObject(id="id3", title="title2", selftext="body2"),
@@ -112,14 +157,19 @@ def __init__(self):
         )
 
     @staticmethod
-    def get_posts(input_data: Input) -> Iterator[praw.reddit.Submission]:
-        client = get_praw(input_data.creds)
+    def get_posts(
+        input_data: Input, *, credentials: RedditCredentials
+    ) -> Iterator[praw.reddit.Submission]:
+        client = get_praw(credentials)
         subreddit = client.subreddit(input_data.subreddit)
         return subreddit.new(limit=input_data.post_limit or 10)
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(
+        self, input_data: Input, *, credentials: RedditCredentials, **kwargs
+    ) -> BlockOutput:
         current_time = datetime.now(tz=timezone.utc)
-        for post in self.get_posts(input_data):
+        all_posts = []
+        for post in self.get_posts(input_data=input_data, credentials=credentials):
             if input_data.last_minutes:
                 post_datetime = datetime.fromtimestamp(
                     post.created_utc, tz=timezone.utc
@@ -131,19 +181,21 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
             if input_data.last_post and post.id == input_data.last_post:
                 break
 
-            yield "post", RedditPost(
+            reddit_post = RedditPost(
                 id=post.id,
                 subreddit=input_data.subreddit,
                 title=post.title,
                 body=post.selftext,
             )
+            all_posts.append(reddit_post)
+            yield "post", reddit_post
+
+        yield "posts", all_posts
 
 
 class PostRedditCommentBlock(Block):
     class Input(BlockSchema):
-        creds: RedditCredentials = SchemaField(
-            description="Reddit credentials", default=RedditCredentials()
-        )
+        credentials: RedditCredentialsInput = RedditCredentialsField()
         data: RedditComment = SchemaField(description="Reddit comment")
 
     class Output(BlockSchema):
@@ -156,7 +208,15 @@ def __init__(self):
             categories={BlockCategory.SOCIAL},
             input_schema=PostRedditCommentBlock.Input,
             output_schema=PostRedditCommentBlock.Output,
-            test_input={"data": {"post_id": "id", "comment": "comment"}},
+            disabled=(
+                not settings.secrets.reddit_client_id
+                or not settings.secrets.reddit_client_secret
+            ),
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "data": {"post_id": "id", "comment": "comment"},
+            },
             test_output=[("comment_id", "dummy_comment_id")],
             test_mock={"reply_post": lambda creds, comment: "dummy_comment_id"},
         )
@@ -170,5 +230,7 @@ def reply_post(creds: RedditCredentials, comment: RedditComment) -> str:
             raise ValueError("Failed to post comment.")
         return new_comment.id
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        yield "comment_id", self.reply_post(input_data.creds, input_data.data)
+    async def run(
+        self, input_data: Input, *, credentials: RedditCredentials, **kwargs
+    ) -> BlockOutput:
+        yield "comment_id", self.reply_post(credentials, input_data.data)
diff --git a/autogpt_platform/backend/backend/blocks/replicate/_auth.py b/autogpt_platform/backend/backend/blocks/replicate/_auth.py
new file mode 100644
index 000000000000..681679333fd0
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/replicate/_auth.py
@@ -0,0 +1,24 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import APIKeyCredentials, CredentialsMetaInput, ProviderName
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="replicate",
+    api_key=SecretStr("mock-replicate-api-key"),
+    title="Mock Replicate API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.type,
+}
+
+ReplicateCredentials = APIKeyCredentials
+ReplicateCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.REPLICATE], Literal["api_key"]
+]
diff --git a/autogpt_platform/backend/backend/blocks/replicate/_helper.py b/autogpt_platform/backend/backend/blocks/replicate/_helper.py
new file mode 100644
index 000000000000..25fcb4fdcfcd
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/replicate/_helper.py
@@ -0,0 +1,39 @@
+import logging
+
+from replicate.helpers import FileOutput
+
+logger = logging.getLogger(__name__)
+
+ReplicateOutputs = FileOutput | list[FileOutput] | list[str] | str | list[dict]
+
+
+def extract_result(output: ReplicateOutputs) -> str:
+    result = (
+        "Unable to process result. Please contact us with the models and inputs used"
+    )
+    # Check if output is a list or a string and extract accordingly; otherwise, assign a default message
+    if isinstance(output, list) and len(output) > 0:
+        # we could use something like all(output, FileOutput) but it will be slower so we just type ignore
+        if isinstance(output[0], FileOutput):
+            result = output[0].url  # If output is a list, get the first element
+        elif isinstance(output[0], str):
+            result = "".join(
+                output  # type: ignore we're already not a file output here
+            )  # type:ignore If output is a list and a str, join the elements the first element. Happens if its text
+        elif isinstance(output[0], dict):
+            result = str(output[0])
+        else:
+            logger.error(
+                "Replicate generated a new output type that's not a file output or a str in a replicate block"
+            )
+    elif isinstance(output, FileOutput):
+        result = output.url  # If output is a FileOutput, use the url
+    elif isinstance(output, str):
+        result = output  # If output is a string (for some reason due to their janky type hinting), use it directly
+    else:
+        result = "No output received"  # Fallback message if output is not as expected
+        logger.error(
+            "We somehow didn't get an output from a replicate block. This is almost certainly an error"
+        )
+
+    return result
diff --git a/autogpt_platform/backend/backend/blocks/replicate/flux_advanced.py b/autogpt_platform/backend/backend/blocks/replicate/flux_advanced.py
new file mode 100644
index 000000000000..477b1fa3e2e8
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/replicate/flux_advanced.py
@@ -0,0 +1,204 @@
+import os
+from enum import Enum
+
+from pydantic import SecretStr
+from replicate.client import Client as ReplicateClient
+
+from backend.blocks.replicate._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    ReplicateCredentialsInput,
+)
+from backend.blocks.replicate._helper import ReplicateOutputs, extract_result
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import APIKeyCredentials, CredentialsField, SchemaField
+
+
+# Model name enum
+class ReplicateFluxModelName(str, Enum):
+    FLUX_SCHNELL = ("Flux Schnell",)
+    FLUX_PRO = ("Flux Pro",)
+    FLUX_PRO1_1 = ("Flux Pro 1.1",)
+
+    @property
+    def api_name(self):
+        api_names = {
+            ReplicateFluxModelName.FLUX_SCHNELL: "black-forest-labs/flux-schnell",
+            ReplicateFluxModelName.FLUX_PRO: "black-forest-labs/flux-pro",
+            ReplicateFluxModelName.FLUX_PRO1_1: "black-forest-labs/flux-1.1-pro",
+        }
+        return api_names[self]
+
+
+# Image type Enum
+class ImageType(str, Enum):
+    WEBP = "webp"
+    JPG = "jpg"
+    PNG = "png"
+
+
+class ReplicateFluxAdvancedModelBlock(Block):
+    class Input(BlockSchema):
+        credentials: ReplicateCredentialsInput = CredentialsField(
+            description="The Replicate integration can be used with "
+            "any API key with sufficient permissions for the blocks it is used on.",
+        )
+        prompt: str = SchemaField(
+            description="Text prompt for image generation",
+            placeholder="e.g., 'A futuristic cityscape at sunset'",
+            title="Prompt",
+        )
+        replicate_model_name: ReplicateFluxModelName = SchemaField(
+            description="The name of the Image Generation Model, i.e Flux Schnell",
+            default=ReplicateFluxModelName.FLUX_SCHNELL,
+            title="Image Generation Model",
+            advanced=False,
+        )
+        seed: int | None = SchemaField(
+            description="Random seed. Set for reproducible generation",
+            default=None,
+            title="Seed",
+        )
+        steps: int = SchemaField(
+            description="Number of diffusion steps",
+            default=25,
+            title="Steps",
+        )
+        guidance: float = SchemaField(
+            description=(
+                "Controls the balance between adherence to the text prompt and image quality/diversity. "
+                "Higher values make the output more closely match the prompt but may reduce overall image quality."
+            ),
+            default=3,
+            title="Guidance",
+        )
+        interval: float = SchemaField(
+            description=(
+                "Interval is a setting that increases the variance in possible outputs. "
+                "Setting this value low will ensure strong prompt following with more consistent outputs."
+            ),
+            default=2,
+            title="Interval",
+        )
+        aspect_ratio: str = SchemaField(
+            description="Aspect ratio for the generated image",
+            default="1:1",
+            title="Aspect Ratio",
+            placeholder="Choose from: 1:1, 16:9, 2:3, 3:2, 4:5, 5:4, 9:16",
+        )
+        output_format: ImageType = SchemaField(
+            description="File format of the output image",
+            default=ImageType.WEBP,
+            title="Output Format",
+        )
+        output_quality: int = SchemaField(
+            description=(
+                "Quality when saving the output images, from 0 to 100. "
+                "Not relevant for .png outputs"
+            ),
+            default=80,
+            title="Output Quality",
+        )
+        safety_tolerance: int = SchemaField(
+            description="Safety tolerance, 1 is most strict and 5 is most permissive",
+            default=2,
+            title="Safety Tolerance",
+        )
+
+    class Output(BlockSchema):
+        result: str = SchemaField(description="Generated output")
+        error: str = SchemaField(description="Error message if the model run failed")
+
+    def __init__(self):
+        super().__init__(
+            id="90f8c45e-e983-4644-aa0b-b4ebe2f531bc",
+            description="This block runs Flux models on Replicate with advanced settings.",
+            categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
+            input_schema=ReplicateFluxAdvancedModelBlock.Input,
+            output_schema=ReplicateFluxAdvancedModelBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "replicate_model_name": ReplicateFluxModelName.FLUX_SCHNELL,
+                "prompt": "A beautiful landscape painting of a serene lake at sunrise",
+                "seed": None,
+                "steps": 25,
+                "guidance": 3.0,
+                "interval": 2.0,
+                "aspect_ratio": "1:1",
+                "output_format": ImageType.PNG,
+                "output_quality": 80,
+                "safety_tolerance": 2,
+            },
+            test_output=[
+                (
+                    "result",
+                    "https://replicate.com/output/generated-image-url.jpg",
+                ),
+            ],
+            test_mock={
+                "run_model": lambda api_key, model_name, prompt, seed, steps, guidance, interval, aspect_ratio, output_format, output_quality, safety_tolerance: "https://replicate.com/output/generated-image-url.jpg",
+            },
+            test_credentials=TEST_CREDENTIALS,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        # If the seed is not provided, generate a random seed
+        seed = input_data.seed
+        if seed is None:
+            seed = int.from_bytes(os.urandom(4), "big")
+
+        # Run the model using the provided inputs
+        result = await self.run_model(
+            api_key=credentials.api_key,
+            model_name=input_data.replicate_model_name.api_name,
+            prompt=input_data.prompt,
+            seed=seed,
+            steps=input_data.steps,
+            guidance=input_data.guidance,
+            interval=input_data.interval,
+            aspect_ratio=input_data.aspect_ratio,
+            output_format=input_data.output_format,
+            output_quality=input_data.output_quality,
+            safety_tolerance=input_data.safety_tolerance,
+        )
+        yield "result", result
+
+    async def run_model(
+        self,
+        api_key: SecretStr,
+        model_name,
+        prompt,
+        seed,
+        steps,
+        guidance,
+        interval,
+        aspect_ratio,
+        output_format,
+        output_quality,
+        safety_tolerance,
+    ):
+        # Initialize Replicate client with the API key
+        client = ReplicateClient(api_token=api_key.get_secret_value())
+
+        # Run the model with additional parameters
+        output: ReplicateOutputs = await client.async_run(  # type: ignore This is because they changed the return type, and didn't update the type hint! It should be overloaded depending on the value of `use_file_output` to `FileOutput | list[FileOutput]` but it's `Any | Iterator[Any]`
+            f"{model_name}",
+            input={
+                "prompt": prompt,
+                "seed": seed,
+                "steps": steps,
+                "guidance": guidance,
+                "interval": interval,
+                "aspect_ratio": aspect_ratio,
+                "output_format": output_format,
+                "output_quality": output_quality,
+                "safety_tolerance": safety_tolerance,
+            },
+            wait=False,  # don't arbitrarily return data:octect/stream or sometimes url depending on the model???? what is this api
+        )
+
+        result = extract_result(output)
+
+        return result
diff --git a/autogpt_platform/backend/backend/blocks/replicate/replicate_block.py b/autogpt_platform/backend/backend/blocks/replicate/replicate_block.py
new file mode 100644
index 000000000000..ca0477788ad4
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/replicate/replicate_block.py
@@ -0,0 +1,133 @@
+import logging
+from typing import Optional
+
+from pydantic import SecretStr
+from replicate.client import Client as ReplicateClient
+
+from backend.blocks.replicate._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    ReplicateCredentialsInput,
+)
+from backend.blocks.replicate._helper import ReplicateOutputs, extract_result
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import APIKeyCredentials, CredentialsField, SchemaField
+
+logger = logging.getLogger(__name__)
+
+
+class ReplicateModelBlock(Block):
+    """
+    Block for running any Replicate model with custom inputs.
+
+    This block allows you to:
+    - Use any public Replicate model
+    - Pass custom inputs as a dictionary
+    - Specify model versions
+    - Get structured outputs with prediction metadata
+    """
+
+    class Input(BlockSchema):
+        credentials: ReplicateCredentialsInput = CredentialsField(
+            description="Enter your Replicate API key to access the model API. You can obtain an API key from https://replicate.com/account/api-tokens.",
+        )
+        model_name: str = SchemaField(
+            description="The Replicate model name (format: 'owner/model-name')",
+            placeholder="stability-ai/stable-diffusion",
+            advanced=False,
+        )
+        model_inputs: dict[str, str | int] = SchemaField(
+            default={},
+            description="Dictionary of inputs to pass to the model",
+            placeholder='{"prompt": "a beautiful landscape", "num_outputs": 1}',
+            advanced=False,
+        )
+        version: Optional[str] = SchemaField(
+            default=None,
+            description="Specific version hash of the model (optional)",
+            placeholder="db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        result: str = SchemaField(description="The output from the Replicate model")
+        status: str = SchemaField(description="Status of the prediction")
+        model_name: str = SchemaField(description="Name of the model used")
+        error: str = SchemaField(description="Error message if any", default="")
+
+    def __init__(self):
+        super().__init__(
+            id="c40d75a2-d0ea-44c9-a4f6-634bb3bdab1a",
+            description="Run Replicate models synchronously",
+            categories={BlockCategory.AI},
+            input_schema=ReplicateModelBlock.Input,
+            output_schema=ReplicateModelBlock.Output,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "model_name": "meta/llama-2-7b-chat",
+                "model_inputs": {"prompt": "Hello, world!", "max_new_tokens": 50},
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("result", str),
+                ("status", str),
+                ("model_name", str),
+            ],
+            test_mock={
+                "run_model": lambda model_ref, model_inputs, api_key: (
+                    "Mock response from Replicate model"
+                )
+            },
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        """
+        Execute the Replicate model with the provided inputs.
+
+        Args:
+            input_data: The input data containing model name and inputs
+            credentials: The API credentials
+
+        Yields:
+            BlockOutput containing the model results and metadata
+        """
+        try:
+            if input_data.version:
+                model_ref = f"{input_data.model_name}:{input_data.version}"
+            else:
+                model_ref = input_data.model_name
+            logger.debug(f"Running Replicate model: {model_ref}")
+            result = await self.run_model(
+                model_ref, input_data.model_inputs, credentials.api_key
+            )
+            yield "result", result
+            yield "status", "succeeded"
+            yield "model_name", input_data.model_name
+        except Exception as e:
+            error_msg = f"Unexpected error running Replicate model: {str(e)}"
+            logger.error(error_msg)
+            raise RuntimeError(error_msg)
+
+    async def run_model(self, model_ref: str, model_inputs: dict, api_key: SecretStr):
+        """
+        Run the Replicate model. This method can be mocked for testing.
+
+        Args:
+            model_ref: The model reference (e.g., "owner/model-name:version")
+            model_inputs: The inputs to pass to the model
+            api_key: The Replicate API key as SecretStr
+
+        Returns:
+            Tuple of (result, prediction_id)
+        """
+        api_key_str = api_key.get_secret_value()
+        client = ReplicateClient(api_token=api_key_str)
+        output: ReplicateOutputs = await client.async_run(
+            model_ref, input=model_inputs, wait=False
+        )  # type: ignore they suck at typing
+
+        result = extract_result(output)
+
+        return result
diff --git a/autogpt_platform/backend/backend/blocks/replicate_flux_advanced.py b/autogpt_platform/backend/backend/blocks/replicate_flux_advanced.py
deleted file mode 100644
index c913ead132e6..000000000000
--- a/autogpt_platform/backend/backend/blocks/replicate_flux_advanced.py
+++ /dev/null
@@ -1,237 +0,0 @@
-import os
-from enum import Enum
-from typing import Literal
-
-import replicate
-from pydantic import SecretStr
-from replicate.helpers import FileOutput
-
-from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
-from backend.data.model import (
-    APIKeyCredentials,
-    CredentialsField,
-    CredentialsMetaInput,
-    SchemaField,
-)
-from backend.integrations.providers import ProviderName
-
-TEST_CREDENTIALS = APIKeyCredentials(
-    id="01234567-89ab-cdef-0123-456789abcdef",
-    provider="replicate",
-    api_key=SecretStr("mock-replicate-api-key"),
-    title="Mock Replicate API key",
-    expires_at=None,
-)
-TEST_CREDENTIALS_INPUT = {
-    "provider": TEST_CREDENTIALS.provider,
-    "id": TEST_CREDENTIALS.id,
-    "type": TEST_CREDENTIALS.type,
-    "title": TEST_CREDENTIALS.type,
-}
-
-
-# Model name enum
-class ReplicateFluxModelName(str, Enum):
-    FLUX_SCHNELL = ("Flux Schnell",)
-    FLUX_PRO = ("Flux Pro",)
-    FLUX_PRO1_1 = ("Flux Pro 1.1",)
-
-    @property
-    def api_name(self):
-        api_names = {
-            ReplicateFluxModelName.FLUX_SCHNELL: "black-forest-labs/flux-schnell",
-            ReplicateFluxModelName.FLUX_PRO: "black-forest-labs/flux-pro",
-            ReplicateFluxModelName.FLUX_PRO1_1: "black-forest-labs/flux-1.1-pro",
-        }
-        return api_names[self]
-
-
-# Image type Enum
-class ImageType(str, Enum):
-    WEBP = "webp"
-    JPG = "jpg"
-    PNG = "png"
-
-
-class ReplicateFluxAdvancedModelBlock(Block):
-    class Input(BlockSchema):
-        credentials: CredentialsMetaInput[
-            Literal[ProviderName.REPLICATE], Literal["api_key"]
-        ] = CredentialsField(
-            description="The Replicate integration can be used with "
-            "any API key with sufficient permissions for the blocks it is used on.",
-        )
-        prompt: str = SchemaField(
-            description="Text prompt for image generation",
-            placeholder="e.g., 'A futuristic cityscape at sunset'",
-            title="Prompt",
-        )
-        replicate_model_name: ReplicateFluxModelName = SchemaField(
-            description="The name of the Image Generation Model, i.e Flux Schnell",
-            default=ReplicateFluxModelName.FLUX_SCHNELL,
-            title="Image Generation Model",
-            advanced=False,
-        )
-        seed: int | None = SchemaField(
-            description="Random seed. Set for reproducible generation",
-            default=None,
-            title="Seed",
-        )
-        steps: int = SchemaField(
-            description="Number of diffusion steps",
-            default=25,
-            title="Steps",
-        )
-        guidance: float = SchemaField(
-            description=(
-                "Controls the balance between adherence to the text prompt and image quality/diversity. "
-                "Higher values make the output more closely match the prompt but may reduce overall image quality."
-            ),
-            default=3,
-            title="Guidance",
-        )
-        interval: float = SchemaField(
-            description=(
-                "Interval is a setting that increases the variance in possible outputs. "
-                "Setting this value low will ensure strong prompt following with more consistent outputs."
-            ),
-            default=2,
-            title="Interval",
-        )
-        aspect_ratio: str = SchemaField(
-            description="Aspect ratio for the generated image",
-            default="1:1",
-            title="Aspect Ratio",
-            placeholder="Choose from: 1:1, 16:9, 2:3, 3:2, 4:5, 5:4, 9:16",
-        )
-        output_format: ImageType = SchemaField(
-            description="File format of the output image",
-            default=ImageType.WEBP,
-            title="Output Format",
-        )
-        output_quality: int = SchemaField(
-            description=(
-                "Quality when saving the output images, from 0 to 100. "
-                "Not relevant for .png outputs"
-            ),
-            default=80,
-            title="Output Quality",
-        )
-        safety_tolerance: int = SchemaField(
-            description="Safety tolerance, 1 is most strict and 5 is most permissive",
-            default=2,
-            title="Safety Tolerance",
-        )
-
-    class Output(BlockSchema):
-        result: str = SchemaField(description="Generated output")
-        error: str = SchemaField(description="Error message if the model run failed")
-
-    def __init__(self):
-        super().__init__(
-            id="90f8c45e-e983-4644-aa0b-b4ebe2f531bc",
-            description="This block runs Flux models on Replicate with advanced settings.",
-            categories={BlockCategory.AI},
-            input_schema=ReplicateFluxAdvancedModelBlock.Input,
-            output_schema=ReplicateFluxAdvancedModelBlock.Output,
-            test_input={
-                "credentials": TEST_CREDENTIALS_INPUT,
-                "replicate_model_name": ReplicateFluxModelName.FLUX_SCHNELL,
-                "prompt": "A beautiful landscape painting of a serene lake at sunrise",
-                "seed": None,
-                "steps": 25,
-                "guidance": 3.0,
-                "interval": 2.0,
-                "aspect_ratio": "1:1",
-                "output_format": ImageType.PNG,
-                "output_quality": 80,
-                "safety_tolerance": 2,
-            },
-            test_output=[
-                (
-                    "result",
-                    "https://replicate.com/output/generated-image-url.jpg",
-                ),
-            ],
-            test_mock={
-                "run_model": lambda api_key, model_name, prompt, seed, steps, guidance, interval, aspect_ratio, output_format, output_quality, safety_tolerance: "https://replicate.com/output/generated-image-url.jpg",
-            },
-            test_credentials=TEST_CREDENTIALS,
-        )
-
-    def run(
-        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
-    ) -> BlockOutput:
-        # If the seed is not provided, generate a random seed
-        seed = input_data.seed
-        if seed is None:
-            seed = int.from_bytes(os.urandom(4), "big")
-
-        # Run the model using the provided inputs
-        result = self.run_model(
-            api_key=credentials.api_key,
-            model_name=input_data.replicate_model_name.api_name,
-            prompt=input_data.prompt,
-            seed=seed,
-            steps=input_data.steps,
-            guidance=input_data.guidance,
-            interval=input_data.interval,
-            aspect_ratio=input_data.aspect_ratio,
-            output_format=input_data.output_format,
-            output_quality=input_data.output_quality,
-            safety_tolerance=input_data.safety_tolerance,
-        )
-        yield "result", result
-
-    def run_model(
-        self,
-        api_key: SecretStr,
-        model_name,
-        prompt,
-        seed,
-        steps,
-        guidance,
-        interval,
-        aspect_ratio,
-        output_format,
-        output_quality,
-        safety_tolerance,
-    ):
-        # Initialize Replicate client with the API key
-        client = replicate.Client(api_token=api_key.get_secret_value())
-
-        # Run the model with additional parameters
-        output: FileOutput | list[FileOutput] = client.run(  # type: ignore This is because they changed the return type, and didn't update the type hint! It should be overloaded depending on the value of `use_file_output` to `FileOutput | list[FileOutput]` but it's `Any | Iterator[Any]`
-            f"{model_name}",
-            input={
-                "prompt": prompt,
-                "seed": seed,
-                "steps": steps,
-                "guidance": guidance,
-                "interval": interval,
-                "aspect_ratio": aspect_ratio,
-                "output_format": output_format,
-                "output_quality": output_quality,
-                "safety_tolerance": safety_tolerance,
-            },
-            wait=False,  # don't arbitrarily return data:octect/stream or sometimes url depending on the model???? what is this api
-        )
-
-        # Check if output is a list or a string and extract accordingly; otherwise, assign a default message
-        if isinstance(output, list) and len(output) > 0:
-            if isinstance(output[0], FileOutput):
-                result_url = output[0].url  # If output is a list, get the first element
-            else:
-                result_url = output[
-                    0
-                ]  # If output is a list and not a FileOutput, get the first element. Should never happen, but just in case.
-        elif isinstance(output, FileOutput):
-            result_url = output.url  # If output is a FileOutput, use the url
-        elif isinstance(output, str):
-            result_url = output  # If output is a string (for some reason due to their janky type hinting), use it directly
-        else:
-            result_url = (
-                "No output received"  # Fallback message if output is not as expected
-            )
-
-        return result_url
diff --git a/autogpt_platform/backend/backend/blocks/rss.py b/autogpt_platform/backend/backend/blocks/rss.py
index 9a5a17ebeeda..751506fcb817 100644
--- a/autogpt_platform/backend/backend/blocks/rss.py
+++ b/autogpt_platform/backend/backend/blocks/rss.py
@@ -1,4 +1,4 @@
-import time
+import asyncio
 from datetime import datetime, timedelta, timezone
 from typing import Any
 
@@ -40,6 +40,7 @@ class Input(BlockSchema):
 
     class Output(BlockSchema):
         entry: RSSEntry = SchemaField(description="The RSS item")
+        entries: list[RSSEntry] = SchemaField(description="List of all RSS entries")
 
     def __init__(self):
         super().__init__(
@@ -66,6 +67,21 @@ def __init__(self):
                         categories=["Technology", "News"],
                     ),
                 ),
+                (
+                    "entries",
+                    [
+                        RSSEntry(
+                            title="Example RSS Item",
+                            link="https://example.com/article",
+                            description="This is an example RSS item description.",
+                            pub_date=datetime(
+                                2023, 6, 23, 12, 30, 0, tzinfo=timezone.utc
+                            ),
+                            author="John Doe",
+                            categories=["Technology", "News"],
+                        ),
+                    ],
+                ),
             ],
             test_mock={
                 "parse_feed": lambda *args, **kwargs: {
@@ -87,7 +103,7 @@ def __init__(self):
     def parse_feed(url: str) -> dict[str, Any]:
         return feedparser.parse(url)  # type: ignore
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         keep_going = True
         start_time = datetime.now(timezone.utc) - timedelta(
             minutes=input_data.time_period
@@ -96,21 +112,22 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
             keep_going = input_data.run_continuously
 
             feed = self.parse_feed(input_data.rss_url)
+            all_entries = []
 
             for entry in feed["entries"]:
                 pub_date = datetime(*entry["published_parsed"][:6], tzinfo=timezone.utc)
 
                 if pub_date > start_time:
-                    yield (
-                        "entry",
-                        RSSEntry(
-                            title=entry["title"],
-                            link=entry["link"],
-                            description=entry.get("summary", ""),
-                            pub_date=pub_date,
-                            author=entry.get("author", ""),
-                            categories=[tag["term"] for tag in entry.get("tags", [])],
-                        ),
+                    rss_entry = RSSEntry(
+                        title=entry["title"],
+                        link=entry["link"],
+                        description=entry.get("summary", ""),
+                        pub_date=pub_date,
+                        author=entry.get("author", ""),
+                        categories=[tag["term"] for tag in entry.get("tags", [])],
                     )
+                    all_entries.append(rss_entry)
+                    yield "entry", rss_entry
 
-            time.sleep(input_data.polling_rate)
+            yield "entries", all_entries
+            await asyncio.sleep(input_data.polling_rate)
diff --git a/autogpt_platform/backend/backend/blocks/sampling.py b/autogpt_platform/backend/backend/blocks/sampling.py
index d2257db06f68..ffd509ff75d0 100644
--- a/autogpt_platform/backend/backend/blocks/sampling.py
+++ b/autogpt_platform/backend/backend/blocks/sampling.py
@@ -93,7 +93,7 @@ def __init__(self):
         )
         self.accumulated_data = []
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         if input_data.accumulate:
             if isinstance(input_data.data, dict):
                 self.accumulated_data.append(input_data.data)
diff --git a/autogpt_platform/backend/backend/blocks/screenshotone.py b/autogpt_platform/backend/backend/blocks/screenshotone.py
new file mode 100644
index 000000000000..5ca97e77f78a
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/screenshotone.py
@@ -0,0 +1,188 @@
+from base64 import b64encode
+from enum import Enum
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import (
+    APIKeyCredentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    SchemaField,
+)
+from backend.integrations.providers import ProviderName
+from backend.util.file import MediaFileType, store_media_file
+from backend.util.request import Requests
+
+
+class Format(str, Enum):
+    PNG = "png"
+    JPEG = "jpeg"
+    WEBP = "webp"
+
+
+class ScreenshotWebPageBlock(Block):
+    """Block for taking screenshots using ScreenshotOne API"""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput[
+            Literal[ProviderName.SCREENSHOTONE], Literal["api_key"]
+        ] = CredentialsField(description="The ScreenshotOne API key")
+        url: str = SchemaField(
+            description="URL of the website to screenshot",
+            placeholder="https://example.com",
+        )
+        viewport_width: int = SchemaField(
+            description="Width of the viewport in pixels", default=1920
+        )
+        viewport_height: int = SchemaField(
+            description="Height of the viewport in pixels", default=1080
+        )
+        full_page: bool = SchemaField(
+            description="Whether to capture the full page length", default=False
+        )
+        format: Format = SchemaField(
+            description="Output format (png, jpeg, webp)", default=Format.PNG
+        )
+        block_ads: bool = SchemaField(description="Whether to block ads", default=True)
+        block_cookie_banners: bool = SchemaField(
+            description="Whether to block cookie banners", default=True
+        )
+        block_chats: bool = SchemaField(
+            description="Whether to block chat widgets", default=True
+        )
+        cache: bool = SchemaField(
+            description="Whether to enable caching", default=False
+        )
+
+    class Output(BlockSchema):
+        image: MediaFileType = SchemaField(description="The screenshot image data")
+        error: str = SchemaField(description="Error message if the screenshot failed")
+
+    def __init__(self):
+        super().__init__(
+            id="3a7c4b8d-6e2f-4a5d-b9c1-f8d23c5a9b0e",  # Generated UUID
+            description="Takes a screenshot of a specified website using ScreenshotOne API",
+            categories={BlockCategory.DATA},
+            input_schema=ScreenshotWebPageBlock.Input,
+            output_schema=ScreenshotWebPageBlock.Output,
+            test_input={
+                "url": "https://example.com",
+                "viewport_width": 1920,
+                "viewport_height": 1080,
+                "full_page": False,
+                "format": "png",
+                "block_ads": True,
+                "block_cookie_banners": True,
+                "block_chats": True,
+                "cache": False,
+                "credentials": {
+                    "provider": "screenshotone",
+                    "type": "api_key",
+                    "id": "test-id",
+                    "title": "Test API Key",
+                },
+            },
+            test_credentials=APIKeyCredentials(
+                id="test-id",
+                provider="screenshotone",
+                api_key=SecretStr("test-key"),
+                title="Test API Key",
+                expires_at=None,
+            ),
+            test_output=[
+                (
+                    "image",
+                    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAB5JREFUOE9jZPjP8J+BAsA4agDDaBgwjIYBw7AIAwCV5B/xAsMbygAAAABJRU5ErkJggg==",
+                ),
+            ],
+            test_mock={
+                "take_screenshot": lambda *args, **kwargs: {
+                    "image": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAB5JREFUOE9jZPjP8J+BAsA4agDDaBgwjIYBw7AIAwCV5B/xAsMbygAAAABJRU5ErkJggg==",
+                }
+            },
+        )
+
+    @staticmethod
+    async def take_screenshot(
+        credentials: APIKeyCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        url: str,
+        viewport_width: int,
+        viewport_height: int,
+        full_page: bool,
+        format: Format,
+        block_ads: bool,
+        block_cookie_banners: bool,
+        block_chats: bool,
+        cache: bool,
+    ) -> dict:
+        """
+        Takes a screenshot using the ScreenshotOne API
+        """
+        api = Requests()
+
+        # Build API parameters
+        params = {
+            "url": url,
+            "viewport_width": viewport_width,
+            "viewport_height": viewport_height,
+            "full_page": str(full_page).lower(),
+            "format": format.value,
+            "block_ads": str(block_ads).lower(),
+            "block_cookie_banners": str(block_cookie_banners).lower(),
+            "block_chats": str(block_chats).lower(),
+            "cache": str(cache).lower(),
+        }
+
+        # Make the API request
+        # Use header-based authentication instead of query parameter
+        headers = {
+            "X-Access-Key": credentials.api_key.get_secret_value(),
+        }
+
+        response = await api.get(
+            "https://api.screenshotone.com/take", params=params, headers=headers
+        )
+        content = response.content
+
+        return {
+            "image": await store_media_file(
+                graph_exec_id=graph_exec_id,
+                file=MediaFileType(
+                    f"data:image/{format.value};base64,{b64encode(content).decode('utf-8')}"
+                ),
+                user_id=user_id,
+                return_content=True,
+            )
+        }
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: APIKeyCredentials,
+        graph_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            screenshot_data = await self.take_screenshot(
+                credentials=credentials,
+                graph_exec_id=graph_exec_id,
+                user_id=user_id,
+                url=input_data.url,
+                viewport_width=input_data.viewport_width,
+                viewport_height=input_data.viewport_height,
+                full_page=input_data.full_page,
+                format=input_data.format,
+                block_ads=input_data.block_ads,
+                block_cookie_banners=input_data.block_cookie_banners,
+                block_chats=input_data.block_chats,
+                cache=input_data.cache,
+            )
+            yield "image", screenshot_data["image"]
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/search.py b/autogpt_platform/backend/backend/blocks/search.py
index 633ad3109113..51eadf215e5f 100644
--- a/autogpt_platform/backend/backend/blocks/search.py
+++ b/autogpt_platform/backend/backend/blocks/search.py
@@ -36,10 +36,10 @@ def __init__(self):
             test_mock={"get_request": lambda url, json: {"extract": "summary content"}},
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         topic = input_data.topic
         url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{topic}"
-        response = self.get_request(url, json=True)
+        response = await self.get_request(url, json=True)
         if "extract" not in response:
             raise RuntimeError(f"Unable to parse Wikipedia response: {response}")
         yield "summary", response["extract"]
@@ -113,14 +113,14 @@ def __init__(self):
             test_credentials=TEST_CREDENTIALS,
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         units = "metric" if input_data.use_celsius else "imperial"
         api_key = credentials.api_key
         location = input_data.location
         url = f"http://api.openweathermap.org/data/2.5/weather?q={quote(location)}&appid={api_key}&units={units}"
-        weather_data = self.get_request(url, json=True)
+        weather_data = await self.get_request(url, json=True)
 
         if "main" in weather_data and "weather" in weather_data:
             yield "temperature", str(weather_data["main"]["temp"])
diff --git a/autogpt_platform/backend/backend/blocks/slant3d/base.py b/autogpt_platform/backend/backend/blocks/slant3d/base.py
index d5d1681e1d43..e368a1b45149 100644
--- a/autogpt_platform/backend/backend/blocks/slant3d/base.py
+++ b/autogpt_platform/backend/backend/blocks/slant3d/base.py
@@ -1,7 +1,7 @@
 from typing import Any, Dict
 
 from backend.data.block import Block
-from backend.util.request import requests
+from backend.util.request import Requests
 
 from ._api import Color, CustomerDetails, OrderItem, Profile
 
@@ -14,20 +14,25 @@ class Slant3DBlockBase(Block):
     def _get_headers(self, api_key: str) -> Dict[str, str]:
         return {"api-key": api_key, "Content-Type": "application/json"}
 
-    def _make_request(self, method: str, endpoint: str, api_key: str, **kwargs) -> Dict:
+    async def _make_request(
+        self, method: str, endpoint: str, api_key: str, **kwargs
+    ) -> Dict:
         url = f"{self.BASE_URL}/{endpoint}"
-        response = requests.request(
+        response = await Requests().request(
             method=method, url=url, headers=self._get_headers(api_key), **kwargs
         )
+        resp = response.json()
 
         if not response.ok:
-            error_msg = response.json().get("error", "Unknown error")
+            error_msg = resp.get("error", "Unknown error")
             raise RuntimeError(f"API request failed: {error_msg}")
 
-        return response.json()
+        return resp
 
-    def _check_valid_color(self, profile: Profile, color: Color, api_key: str) -> str:
-        response = self._make_request(
+    async def _check_valid_color(
+        self, profile: Profile, color: Color, api_key: str
+    ) -> str:
+        response = await self._make_request(
             "GET",
             "filament",
             api_key,
@@ -48,10 +53,12 @@ def _check_valid_color(self, profile: Profile, color: Color, api_key: str) -> st
             )
         return color_tag
 
-    def _convert_to_color(self, profile: Profile, color: Color, api_key: str) -> str:
-        return self._check_valid_color(profile, color, api_key)
+    async def _convert_to_color(
+        self, profile: Profile, color: Color, api_key: str
+    ) -> str:
+        return await self._check_valid_color(profile, color, api_key)
 
-    def _format_order_data(
+    async def _format_order_data(
         self,
         customer: CustomerDetails,
         order_number: str,
@@ -61,6 +68,7 @@ def _format_order_data(
         """Helper function to format order data for API requests"""
         orders = []
         for item in items:
+            color_tag = await self._convert_to_color(item.profile, item.color, api_key)
             order_data = {
                 "email": customer.email,
                 "phone": customer.phone,
@@ -85,9 +93,7 @@ def _format_order_data(
                 "order_quantity": item.quantity,
                 "order_image_url": "",
                 "order_sku": "NOT_USED",
-                "order_item_color": self._convert_to_color(
-                    item.profile, item.color, api_key
-                ),
+                "order_item_color": color_tag,
                 "profile": item.profile.value,
             }
             orders.append(order_data)
diff --git a/autogpt_platform/backend/backend/blocks/slant3d/filament.py b/autogpt_platform/backend/backend/blocks/slant3d/filament.py
index c232c2ba8da1..0659a45561df 100644
--- a/autogpt_platform/backend/backend/blocks/slant3d/filament.py
+++ b/autogpt_platform/backend/backend/blocks/slant3d/filament.py
@@ -72,11 +72,11 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            result = self._make_request(
+            result = await self._make_request(
                 "GET", "filament", credentials.api_key.get_secret_value()
             )
             yield "filaments", result["filaments"]
diff --git a/autogpt_platform/backend/backend/blocks/slant3d/order.py b/autogpt_platform/backend/backend/blocks/slant3d/order.py
index a1a342a98e0b..43a58024687d 100644
--- a/autogpt_platform/backend/backend/blocks/slant3d/order.py
+++ b/autogpt_platform/backend/backend/blocks/slant3d/order.py
@@ -1,12 +1,9 @@
 import uuid
 from typing import List
 
-import requests as baserequests
-
 from backend.data.block import BlockOutput, BlockSchema
 from backend.data.model import APIKeyCredentials, SchemaField
-from backend.util import settings
-from backend.util.settings import BehaveAs
+from backend.util.settings import BehaveAs, Settings
 
 from ._api import (
     TEST_CREDENTIALS,
@@ -18,6 +15,8 @@
 )
 from .base import Slant3DBlockBase
 
+settings = Settings()
+
 
 class Slant3DCreateOrderBlock(Slant3DBlockBase):
     """Block for creating new orders"""
@@ -76,17 +75,17 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            order_data = self._format_order_data(
+            order_data = await self._format_order_data(
                 input_data.customer,
                 input_data.order_number,
                 input_data.items,
                 credentials.api_key.get_secret_value(),
             )
-            result = self._make_request(
+            result = await self._make_request(
                 "POST", "order", credentials.api_key.get_secret_value(), json=order_data
             )
             yield "order_id", result["orderId"]
@@ -162,28 +161,24 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
-        order_data = self._format_order_data(
+        order_data = await self._format_order_data(
             input_data.customer,
             input_data.order_number,
             input_data.items,
             credentials.api_key.get_secret_value(),
         )
-        try:
-            result = self._make_request(
-                "POST",
-                "order/estimate",
-                credentials.api_key.get_secret_value(),
-                json=order_data,
-            )
-            yield "total_price", result["totalPrice"]
-            yield "shipping_cost", result["shippingCost"]
-            yield "printing_cost", result["printingCost"]
-        except baserequests.HTTPError as e:
-            yield "error", str(f"Error estimating order: {e} {e.response.text}")
-            raise
+        result = await self._make_request(
+            "POST",
+            "order/estimate",
+            credentials.api_key.get_secret_value(),
+            json=order_data,
+        )
+        yield "total_price", result["totalPrice"]
+        yield "shipping_cost", result["shippingCost"]
+        yield "printing_cost", result["printingCost"]
 
 
 class Slant3DEstimateShippingBlock(Slant3DBlockBase):
@@ -246,17 +241,17 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            order_data = self._format_order_data(
+            order_data = await self._format_order_data(
                 input_data.customer,
                 input_data.order_number,
                 input_data.items,
                 credentials.api_key.get_secret_value(),
             )
-            result = self._make_request(
+            result = await self._make_request(
                 "POST",
                 "order/estimateShipping",
                 credentials.api_key.get_secret_value(),
@@ -286,7 +281,7 @@ def __init__(self):
             input_schema=self.Input,
             output_schema=self.Output,
             # This block is disabled for cloud hosted because it allows access to all orders for the account
-            disabled=settings.Settings().config.behave_as == BehaveAs.CLOUD,
+            disabled=settings.config.behave_as == BehaveAs.CLOUD,
             test_input={"credentials": TEST_CREDENTIALS_INPUT},
             test_credentials=TEST_CREDENTIALS,
             test_output=[
@@ -312,11 +307,11 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            result = self._make_request(
+            result = await self._make_request(
                 "GET", "order", credentials.api_key.get_secret_value()
             )
             yield "orders", [str(order["orderId"]) for order in result["ordersData"]]
@@ -359,11 +354,11 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            result = self._make_request(
+            result = await self._make_request(
                 "GET",
                 f"order/{input_data.order_id}/get-tracking",
                 credentials.api_key.get_secret_value(),
@@ -403,11 +398,11 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            result = self._make_request(
+            result = await self._make_request(
                 "DELETE",
                 f"order/{input_data.order_id}",
                 credentials.api_key.get_secret_value(),
diff --git a/autogpt_platform/backend/backend/blocks/slant3d/slicing.py b/autogpt_platform/backend/backend/blocks/slant3d/slicing.py
index 1b868efc9edd..6abe3045acbe 100644
--- a/autogpt_platform/backend/backend/blocks/slant3d/slicing.py
+++ b/autogpt_platform/backend/backend/blocks/slant3d/slicing.py
@@ -44,11 +44,11 @@ def __init__(self):
             },
         )
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         try:
-            result = self._make_request(
+            result = await self._make_request(
                 "POST",
                 "slicer",
                 credentials.api_key.get_secret_value(),
diff --git a/autogpt_platform/backend/backend/blocks/slant3d/webhook.py b/autogpt_platform/backend/backend/blocks/slant3d/webhook.py
index 5726790f99f2..22f87b468d86 100644
--- a/autogpt_platform/backend/backend/blocks/slant3d/webhook.py
+++ b/autogpt_platform/backend/backend/blocks/slant3d/webhook.py
@@ -8,8 +8,8 @@
     BlockWebhookConfig,
 )
 from backend.data.model import SchemaField
-from backend.util import settings
-from backend.util.settings import AppEnvironment, BehaveAs
+from backend.integrations.providers import ProviderName
+from backend.util.settings import AppEnvironment, BehaveAs, Settings
 
 from ._api import (
     TEST_CREDENTIALS,
@@ -18,6 +18,8 @@
     Slant3DCredentialsInput,
 )
 
+settings = Settings()
+
 
 class Slant3DTriggerBase:
     """Base class for Slant3D webhook triggers"""
@@ -25,7 +27,7 @@ class Slant3DTriggerBase:
     class Input(BlockSchema):
         credentials: Slant3DCredentialsInput = Slant3DCredentialsField()
         # Webhook URL is handled by the webhook system
-        payload: dict = SchemaField(hidden=True, default={})
+        payload: dict = SchemaField(hidden=True, default_factory=dict)
 
     class Output(BlockSchema):
         payload: dict = SchemaField(
@@ -36,7 +38,7 @@ class Output(BlockSchema):
             description="Error message if payload processing failed"
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         yield "payload", input_data.payload
         yield "order_id", input_data.payload["orderId"]
 
@@ -75,14 +77,14 @@ def __init__(self):
             ),
             # All webhooks are currently subscribed to for all orders. This works for self hosted, but not for cloud hosted prod
             disabled=(
-                settings.Settings().config.behave_as == BehaveAs.CLOUD
-                and settings.Settings().config.app_env != AppEnvironment.LOCAL
+                settings.config.behave_as == BehaveAs.CLOUD
+                and settings.config.app_env != AppEnvironment.LOCAL
             ),
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=self.Input,
             output_schema=self.Output,
             webhook_config=BlockWebhookConfig(
-                provider="slant3d",
+                provider=ProviderName.SLANT3D,
                 webhook_type="orders",  # Only one type for now
                 resource_format="",  # No resource format needed
                 event_filter_input="events",
@@ -116,8 +118,9 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:  # type: ignore
-        yield from super().run(input_data, **kwargs)
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:  # type: ignore
+        async for name, value in super().run(input_data, **kwargs):
+            yield name, value
 
         # Extract and normalize values from the payload
         yield "status", input_data.payload["status"]
diff --git a/autogpt_platform/backend/backend/blocks/smart_decision_maker.py b/autogpt_platform/backend/backend/blocks/smart_decision_maker.py
new file mode 100644
index 000000000000..9ae41d9c9382
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/smart_decision_maker.py
@@ -0,0 +1,583 @@
+import logging
+import re
+from collections import Counter
+from typing import TYPE_CHECKING, Any
+
+import backend.blocks.llm as llm
+from backend.blocks.agent import AgentExecutorBlock
+from backend.data.block import (
+    Block,
+    BlockCategory,
+    BlockInput,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+)
+from backend.data.model import NodeExecutionStats, SchemaField
+from backend.util import json
+from backend.util.clients import get_database_manager_async_client
+
+if TYPE_CHECKING:
+    from backend.data.graph import Link, Node
+
+logger = logging.getLogger(__name__)
+
+
+def _get_tool_requests(entry: dict[str, Any]) -> list[str]:
+    """
+    Return a list of tool_call_ids if the entry is a tool request.
+    Supports both OpenAI and Anthropics formats.
+    """
+    tool_call_ids = []
+    if entry.get("role") != "assistant":
+        return tool_call_ids
+
+    # OpenAI: check for tool_calls in the entry.
+    calls = entry.get("tool_calls")
+    if isinstance(calls, list):
+        for call in calls:
+            if tool_id := call.get("id"):
+                tool_call_ids.append(tool_id)
+
+    # Anthropics: check content items for tool_use type.
+    content = entry.get("content")
+    if isinstance(content, list):
+        for item in content:
+            if item.get("type") != "tool_use":
+                continue
+            if tool_id := item.get("id"):
+                tool_call_ids.append(tool_id)
+
+    return tool_call_ids
+
+
+def _get_tool_responses(entry: dict[str, Any]) -> list[str]:
+    """
+    Return a list of tool_call_ids if the entry is a tool response.
+    Supports both OpenAI and Anthropics formats.
+    """
+    tool_call_ids: list[str] = []
+
+    # OpenAI: a tool response message with role "tool" and key "tool_call_id".
+    if entry.get("role") == "tool":
+        if tool_call_id := entry.get("tool_call_id"):
+            tool_call_ids.append(str(tool_call_id))
+
+    # Anthropics: check content items for tool_result type.
+    if entry.get("role") == "user":
+        content = entry.get("content")
+        if isinstance(content, list):
+            for item in content:
+                if item.get("type") != "tool_result":
+                    continue
+                if tool_call_id := item.get("tool_use_id"):
+                    tool_call_ids.append(tool_call_id)
+
+    return tool_call_ids
+
+
+def _create_tool_response(call_id: str, output: Any) -> dict[str, Any]:
+    """
+    Create a tool response message for either OpenAI or Anthropics,
+    based on the tool_id format.
+    """
+    content = output if isinstance(output, str) else json.dumps(output)
+
+    # Anthropics format: tool IDs typically start with "toolu_"
+    if call_id.startswith("toolu_"):
+        return {
+            "role": "user",
+            "type": "message",
+            "content": [
+                {"tool_use_id": call_id, "type": "tool_result", "content": content}
+            ],
+        }
+
+    # OpenAI format: tool IDs typically start with "call_".
+    # Or default fallback (if the tool_id doesn't match any known prefix)
+    return {"role": "tool", "tool_call_id": call_id, "content": content}
+
+
+def get_pending_tool_calls(conversation_history: list[Any]) -> dict[str, int]:
+    """
+    All the tool calls entry in the conversation history requires a response.
+    This function returns the pending tool calls that has not generated an output yet.
+
+    Return: dict[str, int] - A dictionary of pending tool call IDs with their count.
+    """
+    pending_calls = Counter()
+    for history in conversation_history:
+        for call_id in _get_tool_requests(history):
+            pending_calls[call_id] += 1
+
+        for call_id in _get_tool_responses(history):
+            pending_calls[call_id] -= 1
+
+    return {call_id: count for call_id, count in pending_calls.items() if count > 0}
+
+
+class SmartDecisionMakerBlock(Block):
+    """
+    A block that uses a language model to make smart decisions based on a given prompt.
+    """
+
+    class Input(BlockSchema):
+        prompt: str = SchemaField(
+            description="The prompt to send to the language model.",
+            placeholder="Enter your prompt here...",
+        )
+        model: llm.LlmModel = SchemaField(
+            title="LLM Model",
+            default=llm.LlmModel.GPT4O,
+            description="The language model to use for answering the prompt.",
+            advanced=False,
+        )
+        credentials: llm.AICredentials = llm.AICredentialsField()
+        multiple_tool_calls: bool = SchemaField(
+            title="Multiple Tool Calls",
+            default=False,
+            description="Whether to allow multiple tool calls in a single response.",
+            advanced=True,
+        )
+        sys_prompt: str = SchemaField(
+            title="System Prompt",
+            default="Thinking carefully step by step decide which function to call. "
+            "Always choose a function call from the list of function signatures, "
+            "and always provide the complete argument provided with the type "
+            "matching the required jsonschema signature, no missing argument is allowed. "
+            "If you have already completed the task objective, you can end the task "
+            "by providing the end result of your work as a finish message. "
+            "Function parameters that has no default value and not optional typed has to be provided. ",
+            description="The system prompt to provide additional context to the model.",
+        )
+        conversation_history: list[dict] = SchemaField(
+            default_factory=list,
+            description="The conversation history to provide context for the prompt.",
+        )
+        last_tool_output: Any = SchemaField(
+            default=None,
+            description="The output of the last tool that was called.",
+        )
+        retry: int = SchemaField(
+            title="Retry Count",
+            default=3,
+            description="Number of times to retry the LLM call if the response does not match the expected format.",
+        )
+        prompt_values: dict[str, str] = SchemaField(
+            advanced=False,
+            default_factory=dict,
+            description="Values used to fill in the prompt. The values can be used in the prompt by putting them in a double curly braces, e.g. {{variable_name}}.",
+        )
+        max_tokens: int | None = SchemaField(
+            advanced=True,
+            default=None,
+            description="The maximum number of tokens to generate in the chat completion.",
+        )
+        ollama_host: str = SchemaField(
+            advanced=True,
+            default="localhost:11434",
+            description="Ollama host for local  models",
+        )
+
+        @classmethod
+        def get_missing_links(cls, data: BlockInput, links: list["Link"]) -> set[str]:
+            # conversation_history & last_tool_output validation is handled differently
+            missing_links = super().get_missing_links(
+                data,
+                [
+                    link
+                    for link in links
+                    if link.sink_name
+                    not in ["conversation_history", "last_tool_output"]
+                ],
+            )
+
+            # Avoid executing the block if the last_tool_output is connected to a static
+            # link, like StoreValueBlock or AgentInputBlock.
+            if any(link.sink_name == "conversation_history" for link in links) and any(
+                link.sink_name == "last_tool_output" and link.is_static
+                for link in links
+            ):
+                raise ValueError(
+                    "Last Tool Output can't be connected to a static (dashed line) "
+                    "link like the output of `StoreValue` or `AgentInput` block"
+                )
+
+            # Check that both conversation_history and last_tool_output are connected together
+            if any(link.sink_name == "conversation_history" for link in links) != any(
+                link.sink_name == "last_tool_output" for link in links
+            ):
+                raise ValueError(
+                    "Last Tool Output is needed when Conversation History is used, "
+                    "and vice versa. Please connect both inputs together."
+                )
+
+            return missing_links
+
+        @classmethod
+        def get_missing_input(cls, data: BlockInput) -> set[str]:
+            if missing_input := super().get_missing_input(data):
+                return missing_input
+
+            conversation_history = data.get("conversation_history", [])
+            pending_tool_calls = get_pending_tool_calls(conversation_history)
+            last_tool_output = data.get("last_tool_output")
+
+            # Tool call is pending, wait for the tool output to be provided.
+            if last_tool_output is None and pending_tool_calls:
+                return {"last_tool_output"}
+
+            # No tool call is pending, wait for the conversation history to be updated.
+            if last_tool_output is not None and not pending_tool_calls:
+                return {"conversation_history"}
+
+            return set()
+
+    class Output(BlockSchema):
+        error: str = SchemaField(description="Error message if the API call failed.")
+        tools: Any = SchemaField(description="The tools that are available to use.")
+        finished: str = SchemaField(
+            description="The finished message to display to the user."
+        )
+        conversations: list[Any] = SchemaField(
+            description="The conversation history to provide context for the prompt."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="3b191d9f-356f-482d-8238-ba04b6d18381",
+            description="Uses AI to intelligently decide what tool to use.",
+            categories={BlockCategory.AI},
+            block_type=BlockType.AI,
+            input_schema=SmartDecisionMakerBlock.Input,
+            output_schema=SmartDecisionMakerBlock.Output,
+            test_input={
+                "prompt": "Hello, World!",
+                "credentials": llm.TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[],
+            test_credentials=llm.TEST_CREDENTIALS,
+        )
+
+    @staticmethod
+    def cleanup(s: str):
+        return re.sub(r"[^a-zA-Z0-9_-]", "_", s).lower()
+
+    @staticmethod
+    async def _create_block_function_signature(
+        sink_node: "Node", links: list["Link"]
+    ) -> dict[str, Any]:
+        """
+        Creates a function signature for a block node.
+
+        Args:
+            sink_node: The node for which to create a function signature.
+            links: The list of links connected to the sink node.
+
+        Returns:
+            A dictionary representing the function signature in the format expected by LLM tools.
+
+        Raises:
+            ValueError: If the block specified by sink_node.block_id is not found.
+        """
+        block = sink_node.block
+
+        tool_function: dict[str, Any] = {
+            "name": SmartDecisionMakerBlock.cleanup(block.name),
+            "description": block.description,
+        }
+        sink_block_input_schema = block.input_schema
+        properties = {}
+
+        for link in links:
+            sink_name = SmartDecisionMakerBlock.cleanup(link.sink_name)
+
+            # Handle dynamic fields (e.g., values_#_*, items_$_*, etc.)
+            # These are fields that get merged by the executor into their base field
+            if (
+                "_#_" in link.sink_name
+                or "_$_" in link.sink_name
+                or "_@_" in link.sink_name
+            ):
+                # For dynamic fields, provide a generic string schema
+                # The executor will handle merging these into the appropriate structure
+                properties[sink_name] = {
+                    "type": "string",
+                    "description": f"Dynamic value for {link.sink_name}",
+                }
+            else:
+                # For regular fields, use the block's schema
+                try:
+                    properties[sink_name] = sink_block_input_schema.get_field_schema(
+                        link.sink_name
+                    )
+                except (KeyError, AttributeError):
+                    # If the field doesn't exist in the schema, provide a generic schema
+                    properties[sink_name] = {
+                        "type": "string",
+                        "description": f"Value for {link.sink_name}",
+                    }
+
+        tool_function["parameters"] = {
+            **block.input_schema.jsonschema(),
+            "properties": properties,
+        }
+
+        return {"type": "function", "function": tool_function}
+
+    @staticmethod
+    async def _create_agent_function_signature(
+        sink_node: "Node", links: list["Link"]
+    ) -> dict[str, Any]:
+        """
+        Creates a function signature for an agent node.
+
+        Args:
+            sink_node: The agent node for which to create a function signature.
+            links: The list of links connected to the sink node.
+
+        Returns:
+            A dictionary representing the function signature in the format expected by LLM tools.
+
+        Raises:
+            ValueError: If the graph metadata for the specified graph_id and graph_version is not found.
+        """
+        graph_id = sink_node.input_default.get("graph_id")
+        graph_version = sink_node.input_default.get("graph_version")
+        if not graph_id or not graph_version:
+            raise ValueError("Graph ID or Graph Version not found in sink node.")
+
+        db_client = get_database_manager_async_client()
+        sink_graph_meta = await db_client.get_graph_metadata(graph_id, graph_version)
+        if not sink_graph_meta:
+            raise ValueError(
+                f"Sink graph metadata not found: {graph_id} {graph_version}"
+            )
+
+        tool_function: dict[str, Any] = {
+            "name": SmartDecisionMakerBlock.cleanup(sink_graph_meta.name),
+            "description": sink_graph_meta.description,
+        }
+
+        properties = {}
+
+        for link in links:
+            sink_block_input_schema = sink_node.input_default["input_schema"]
+            sink_block_properties = sink_block_input_schema.get("properties", {}).get(
+                link.sink_name, {}
+            )
+            sink_name = SmartDecisionMakerBlock.cleanup(link.sink_name)
+            description = (
+                sink_block_properties["description"]
+                if "description" in sink_block_properties
+                else f"The {link.sink_name} of the tool"
+            )
+            properties[sink_name] = {
+                "type": "string",
+                "description": description,
+                "default": json.dumps(sink_block_properties.get("default", None)),
+            }
+
+        tool_function["parameters"] = {
+            "type": "object",
+            "properties": properties,
+            "additionalProperties": False,
+            "strict": True,
+        }
+
+        return {"type": "function", "function": tool_function}
+
+    @staticmethod
+    async def _create_function_signature(node_id: str) -> list[dict[str, Any]]:
+        """
+        Creates function signatures for tools linked to a specified node within a graph.
+
+        This method filters the graph links to identify those that are tools and are
+        connected to the given node_id. It then constructs function signatures for each
+        tool based on the metadata and input schema of the linked nodes.
+
+        Args:
+            node_id: The node_id for which to create function signatures.
+
+        Returns:
+            list[dict[str, Any]]: A list of dictionaries, each representing a function signature
+                                  for a tool, including its name, description, and parameters.
+
+        Raises:
+            ValueError: If no tool links are found for the specified node_id, or if a sink node
+                        or its metadata cannot be found.
+        """
+        db_client = get_database_manager_async_client()
+        tools = [
+            (link, node)
+            for link, node in await db_client.get_connected_output_nodes(node_id)
+            if link.source_name.startswith("tools_^_") and link.source_id == node_id
+        ]
+        if not tools:
+            raise ValueError("There is no next node to execute.")
+
+        return_tool_functions: list[dict[str, Any]] = []
+
+        grouped_tool_links: dict[str, tuple["Node", list["Link"]]] = {}
+        for link, node in tools:
+            if link.sink_id not in grouped_tool_links:
+                grouped_tool_links[link.sink_id] = (node, [link])
+            else:
+                grouped_tool_links[link.sink_id][1].append(link)
+
+        for sink_node, links in grouped_tool_links.values():
+            if not sink_node:
+                raise ValueError(f"Sink node not found: {links[0].sink_id}")
+
+            if sink_node.block_id == AgentExecutorBlock().id:
+                return_tool_functions.append(
+                    await SmartDecisionMakerBlock._create_agent_function_signature(
+                        sink_node, links
+                    )
+                )
+            else:
+                return_tool_functions.append(
+                    await SmartDecisionMakerBlock._create_block_function_signature(
+                        sink_node, links
+                    )
+                )
+
+        return return_tool_functions
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: llm.APIKeyCredentials,
+        graph_id: str,
+        node_id: str,
+        graph_exec_id: str,
+        node_exec_id: str,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        tool_functions = await self._create_function_signature(node_id)
+        yield "tool_functions", json.dumps(tool_functions)
+
+        input_data.conversation_history = input_data.conversation_history or []
+        prompt = [json.to_dict(p) for p in input_data.conversation_history if p]
+
+        pending_tool_calls = get_pending_tool_calls(input_data.conversation_history)
+        if pending_tool_calls and input_data.last_tool_output is None:
+            raise ValueError(f"Tool call requires an output for {pending_tool_calls}")
+
+        # Only assign the last tool output to the first pending tool call
+        tool_output = []
+        if pending_tool_calls and input_data.last_tool_output is not None:
+            # Get the first pending tool call ID
+            first_call_id = next(iter(pending_tool_calls.keys()))
+            tool_output.append(
+                _create_tool_response(first_call_id, input_data.last_tool_output)
+            )
+
+            # Add tool output to prompt right away
+            prompt.extend(tool_output)
+
+            # Check if there are still pending tool calls after handling the first one
+            remaining_pending_calls = get_pending_tool_calls(prompt)
+
+            # If there are still pending tool calls, yield the conversation and return early
+            if remaining_pending_calls:
+                yield "conversations", prompt
+                return
+
+        # Fallback on adding tool output in the conversation history as user prompt.
+        elif input_data.last_tool_output:
+            logger.error(
+                f"[SmartDecisionMakerBlock-node_exec_id={node_exec_id}] "
+                f"No pending tool calls found. This may indicate an issue with the "
+                f"conversation history, or the tool giving response more than once."
+                f"This should not happen! Please check the conversation history for any inconsistencies."
+            )
+            tool_output.append(
+                {
+                    "role": "user",
+                    "content": f"Last tool output: {json.dumps(input_data.last_tool_output)}",
+                }
+            )
+            prompt.extend(tool_output)
+
+        values = input_data.prompt_values
+        if values:
+            input_data.prompt = llm.fmt.format_string(input_data.prompt, values)
+            input_data.sys_prompt = llm.fmt.format_string(input_data.sys_prompt, values)
+
+        prefix = "[Main Objective Prompt]: "
+
+        if input_data.sys_prompt and not any(
+            p["role"] == "system" and p["content"].startswith(prefix) for p in prompt
+        ):
+            prompt.append({"role": "system", "content": prefix + input_data.sys_prompt})
+
+        if input_data.prompt and not any(
+            p["role"] == "user" and p["content"].startswith(prefix) for p in prompt
+        ):
+            prompt.append({"role": "user", "content": prefix + input_data.prompt})
+
+        response = await llm.llm_call(
+            credentials=credentials,
+            llm_model=input_data.model,
+            prompt=prompt,
+            json_format=False,
+            max_tokens=input_data.max_tokens,
+            tools=tool_functions,
+            ollama_host=input_data.ollama_host,
+            parallel_tool_calls=input_data.multiple_tool_calls,
+        )
+
+        # Track LLM usage stats
+        self.merge_stats(
+            NodeExecutionStats(
+                input_token_count=response.prompt_tokens,
+                output_token_count=response.completion_tokens,
+                llm_call_count=1,
+            )
+        )
+
+        if not response.tool_calls:
+            yield "finished", response.response
+            return
+
+        for tool_call in response.tool_calls:
+            tool_name = tool_call.function.name
+            tool_args = json.loads(tool_call.function.arguments)
+
+            # Find the tool definition to get the expected arguments
+            tool_def = next(
+                (
+                    tool
+                    for tool in tool_functions
+                    if tool["function"]["name"] == tool_name
+                ),
+                None,
+            )
+
+            if (
+                tool_def
+                and "function" in tool_def
+                and "parameters" in tool_def["function"]
+            ):
+                expected_args = tool_def["function"]["parameters"].get("properties", {})
+            else:
+                expected_args = tool_args.keys()
+
+            # Yield provided arguments and None for missing ones
+            for arg_name in expected_args:
+                if arg_name in tool_args:
+                    yield f"tools_^_{tool_name}_~_{arg_name}", tool_args[arg_name]
+                else:
+                    yield f"tools_^_{tool_name}_~_{arg_name}", None
+
+        # Add reasoning to conversation history if available
+        if response.reasoning:
+            prompt.append(
+                {"role": "assistant", "content": f"[Reasoning]: {response.reasoning}"}
+            )
+
+        prompt.append(response.raw_response)
+        yield "conversations", prompt
diff --git a/autogpt_platform/backend/backend/blocks/smartlead/_api.py b/autogpt_platform/backend/backend/blocks/smartlead/_api.py
new file mode 100644
index 000000000000..cff1c63b7247
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/smartlead/_api.py
@@ -0,0 +1,99 @@
+from backend.blocks.smartlead.models import (
+    AddLeadsRequest,
+    AddLeadsToCampaignResponse,
+    CreateCampaignRequest,
+    CreateCampaignResponse,
+    SaveSequencesRequest,
+    SaveSequencesResponse,
+)
+from backend.util.request import Requests
+
+
+class SmartLeadClient:
+    """Client for the SmartLead API"""
+
+    # This api is stupid and requires your api key in the url. DO NOT RAISE ERRORS FOR BAD REQUESTS.
+    # FILTER OUT THE API KEY FROM THE ERROR MESSAGE.
+
+    API_URL = "https://server.smartlead.ai/api/v1"
+
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+        self.requests = Requests()
+
+    def _add_auth_to_url(self, url: str) -> str:
+        return f"{url}?api_key={self.api_key}"
+
+    def _handle_error(self, e: Exception) -> str:
+        return e.__str__().replace(self.api_key, "API KEY")
+
+    async def create_campaign(
+        self, request: CreateCampaignRequest
+    ) -> CreateCampaignResponse:
+        try:
+            response = await self.requests.post(
+                self._add_auth_to_url(f"{self.API_URL}/campaigns/create"),
+                json=request.model_dump(),
+            )
+            response_data = response.json()
+            return CreateCampaignResponse(**response_data)
+        except ValueError as e:
+            raise ValueError(f"Invalid response format: {str(e)}")
+        except Exception as e:
+            raise ValueError(f"Failed to create campaign: {self._handle_error(e)}")
+
+    async def add_leads_to_campaign(
+        self, request: AddLeadsRequest
+    ) -> AddLeadsToCampaignResponse:
+        try:
+            response = await self.requests.post(
+                self._add_auth_to_url(
+                    f"{self.API_URL}/campaigns/{request.campaign_id}/leads"
+                ),
+                json=request.model_dump(exclude={"campaign_id"}),
+            )
+            response_data = response.json()
+            response_parsed = AddLeadsToCampaignResponse(**response_data)
+            if not response_parsed.ok:
+                raise ValueError(
+                    f"Failed to add leads to campaign: {response_parsed.error}"
+                )
+            return response_parsed
+        except ValueError as e:
+            raise ValueError(f"Invalid response format: {str(e)}")
+        except Exception as e:
+            raise ValueError(
+                f"Failed to add leads to campaign: {self._handle_error(e)}"
+            )
+
+    async def save_campaign_sequences(
+        self, campaign_id: int, request: SaveSequencesRequest
+    ) -> SaveSequencesResponse:
+        """
+        Save sequences within a campaign.
+
+        Args:
+            campaign_id: ID of the campaign to save sequences for
+            request: SaveSequencesRequest containing the sequences configuration
+
+        Returns:
+            SaveSequencesResponse with the result of the operation
+
+        Note:
+            For variant_distribution_type:
+            - MANUAL_EQUAL: Equally distributes variants across leads
+            - AI_EQUAL: Requires winning_metric_property and lead_distribution_percentage
+            - MANUAL_PERCENTAGE: Requires variant_distribution_percentage in seq_variants
+        """
+        try:
+            response = await self.requests.post(
+                self._add_auth_to_url(
+                    f"{self.API_URL}/campaigns/{campaign_id}/sequences"
+                ),
+                json=request.model_dump(exclude_none=True),
+            )
+            return SaveSequencesResponse(**(response.json()))
+        except Exception as e:
+            raise ValueError(
+                f"Failed to save campaign sequences: {e.__str__().replace(self.api_key, 'API KEY')}"
+            )
diff --git a/autogpt_platform/backend/backend/blocks/smartlead/_auth.py b/autogpt_platform/backend/backend/blocks/smartlead/_auth.py
new file mode 100644
index 000000000000..219524126c6e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/smartlead/_auth.py
@@ -0,0 +1,35 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import APIKeyCredentials, CredentialsField, CredentialsMetaInput
+from backend.integrations.providers import ProviderName
+
+SmartLeadCredentials = APIKeyCredentials
+SmartLeadCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.SMARTLEAD],
+    Literal["api_key"],
+]
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="smartlead",
+    api_key=SecretStr("mock-smartlead-api-key"),
+    title="Mock SmartLead API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
+
+
+def SmartLeadCredentialsField() -> SmartLeadCredentialsInput:
+    """
+    Creates a SmartLead credentials input on a block.
+    """
+    return CredentialsField(
+        description="The SmartLead integration can be used with an API Key.",
+    )
diff --git a/autogpt_platform/backend/backend/blocks/smartlead/campaign.py b/autogpt_platform/backend/backend/blocks/smartlead/campaign.py
new file mode 100644
index 000000000000..112004d7ad9a
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/smartlead/campaign.py
@@ -0,0 +1,326 @@
+from backend.blocks.smartlead._api import SmartLeadClient
+from backend.blocks.smartlead._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    SmartLeadCredentials,
+    SmartLeadCredentialsInput,
+)
+from backend.blocks.smartlead.models import (
+    AddLeadsRequest,
+    AddLeadsToCampaignResponse,
+    CreateCampaignRequest,
+    CreateCampaignResponse,
+    LeadInput,
+    LeadUploadSettings,
+    SaveSequencesRequest,
+    SaveSequencesResponse,
+    Sequence,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import CredentialsField, SchemaField
+
+
+class CreateCampaignBlock(Block):
+    """Create a campaign in SmartLead"""
+
+    class Input(BlockSchema):
+        name: str = SchemaField(
+            description="The name of the campaign",
+        )
+        credentials: SmartLeadCredentialsInput = CredentialsField(
+            description="SmartLead credentials",
+        )
+
+    class Output(BlockSchema):
+        id: int = SchemaField(
+            description="The ID of the created campaign",
+        )
+        name: str = SchemaField(
+            description="The name of the created campaign",
+        )
+        created_at: str = SchemaField(
+            description="The date and time the campaign was created",
+        )
+        error: str = SchemaField(
+            description="Error message if the search failed",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="8865699f-9188-43c4-89b0-79c84cfaa03e",
+            description="Create a campaign in SmartLead",
+            categories={BlockCategory.CRM},
+            input_schema=CreateCampaignBlock.Input,
+            output_schema=CreateCampaignBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={"name": "Test Campaign", "credentials": TEST_CREDENTIALS_INPUT},
+            test_output=[
+                (
+                    "id",
+                    1,
+                ),
+                (
+                    "name",
+                    "Test Campaign",
+                ),
+                (
+                    "created_at",
+                    "2024-01-01T00:00:00Z",
+                ),
+            ],
+            test_mock={
+                "create_campaign": lambda name, credentials: CreateCampaignResponse(
+                    ok=True,
+                    id=1,
+                    name=name,
+                    created_at="2024-01-01T00:00:00Z",
+                )
+            },
+        )
+
+    @staticmethod
+    async def create_campaign(
+        name: str, credentials: SmartLeadCredentials
+    ) -> CreateCampaignResponse:
+        client = SmartLeadClient(credentials.api_key.get_secret_value())
+        return await client.create_campaign(CreateCampaignRequest(name=name))
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: SmartLeadCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        response = await self.create_campaign(input_data.name, credentials)
+
+        yield "id", response.id
+        yield "name", response.name
+        yield "created_at", response.created_at
+        if not response.ok:
+            yield "error", "Failed to create campaign"
+
+
+class AddLeadToCampaignBlock(Block):
+    """Add a lead to a campaign in SmartLead"""
+
+    class Input(BlockSchema):
+        campaign_id: int = SchemaField(
+            description="The ID of the campaign to add the lead to",
+        )
+        lead_list: list[LeadInput] = SchemaField(
+            description="An array of JSON objects, each representing a lead's details. Can hold max 100 leads.",
+            max_length=100,
+            default_factory=list,
+            advanced=False,
+        )
+        settings: LeadUploadSettings = SchemaField(
+            description="Settings for lead upload",
+            default=LeadUploadSettings(),
+        )
+        credentials: SmartLeadCredentialsInput = CredentialsField(
+            description="SmartLead credentials",
+        )
+
+    class Output(BlockSchema):
+        campaign_id: int = SchemaField(
+            description="The ID of the campaign the lead was added to (passed through)",
+        )
+        upload_count: int = SchemaField(
+            description="The number of leads added to the campaign",
+        )
+        already_added_to_campaign: int = SchemaField(
+            description="The number of leads that were already added to the campaign",
+        )
+        duplicate_count: int = SchemaField(
+            description="The number of emails that were duplicates",
+        )
+        invalid_email_count: int = SchemaField(
+            description="The number of emails that were invalidly formatted",
+        )
+        is_lead_limit_exhausted: bool = SchemaField(
+            description="Whether the lead limit was exhausted",
+        )
+        lead_import_stopped_count: int = SchemaField(
+            description="The number of leads that were not added to the campaign because the lead import was stopped",
+        )
+        error: str = SchemaField(
+            description="Error message if the lead was not added to the campaign",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="fb8106a4-1a8f-42f9-a502-f6d07e6fe0ec",
+            description="Add a lead to a campaign in SmartLead",
+            categories={BlockCategory.CRM},
+            input_schema=AddLeadToCampaignBlock.Input,
+            output_schema=AddLeadToCampaignBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "campaign_id": 1,
+                "lead_list": [],
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                (
+                    "campaign_id",
+                    1,
+                ),
+                (
+                    "upload_count",
+                    1,
+                ),
+            ],
+            test_mock={
+                "add_leads_to_campaign": lambda campaign_id, lead_list, credentials: AddLeadsToCampaignResponse(
+                    ok=True,
+                    upload_count=1,
+                    already_added_to_campaign=0,
+                    duplicate_count=0,
+                    invalid_email_count=0,
+                    is_lead_limit_exhausted=False,
+                    lead_import_stopped_count=0,
+                    error="",
+                    total_leads=1,
+                    block_count=0,
+                    invalid_emails=[],
+                    unsubscribed_leads=[],
+                    bounce_count=0,
+                )
+            },
+        )
+
+    @staticmethod
+    async def add_leads_to_campaign(
+        campaign_id: int, lead_list: list[LeadInput], credentials: SmartLeadCredentials
+    ) -> AddLeadsToCampaignResponse:
+        client = SmartLeadClient(credentials.api_key.get_secret_value())
+        return await client.add_leads_to_campaign(
+            AddLeadsRequest(
+                campaign_id=campaign_id,
+                lead_list=lead_list,
+                settings=LeadUploadSettings(
+                    ignore_global_block_list=False,
+                    ignore_unsubscribe_list=False,
+                    ignore_community_bounce_list=False,
+                    ignore_duplicate_leads_in_other_campaign=False,
+                ),
+            ),
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: SmartLeadCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        response = await self.add_leads_to_campaign(
+            input_data.campaign_id, input_data.lead_list, credentials
+        )
+
+        yield "campaign_id", input_data.campaign_id
+        yield "upload_count", response.upload_count
+        if response.already_added_to_campaign:
+            yield "already_added_to_campaign", response.already_added_to_campaign
+        if response.duplicate_count:
+            yield "duplicate_count", response.duplicate_count
+        if response.invalid_email_count:
+            yield "invalid_email_count", response.invalid_email_count
+        if response.is_lead_limit_exhausted:
+            yield "is_lead_limit_exhausted", response.is_lead_limit_exhausted
+        if response.lead_import_stopped_count:
+            yield "lead_import_stopped_count", response.lead_import_stopped_count
+        if response.error:
+            yield "error", response.error
+        if not response.ok:
+            yield "error", "Failed to add leads to campaign"
+
+
+class SaveCampaignSequencesBlock(Block):
+    """Save sequences within a campaign"""
+
+    class Input(BlockSchema):
+        campaign_id: int = SchemaField(
+            description="The ID of the campaign to save sequences for",
+        )
+        sequences: list[Sequence] = SchemaField(
+            description="The sequences to save",
+            default_factory=list,
+            advanced=False,
+        )
+        credentials: SmartLeadCredentialsInput = CredentialsField(
+            description="SmartLead credentials",
+        )
+
+    class Output(BlockSchema):
+        data: dict | str | None = SchemaField(
+            description="Data from the API",
+            default=None,
+        )
+        message: str = SchemaField(
+            description="Message from the API",
+            default="",
+        )
+        error: str = SchemaField(
+            description="Error message if the sequences were not saved",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="e7d9f41c-dc10-4f39-98ba-a432abd128c0",
+            description="Save sequences within a campaign",
+            categories={BlockCategory.CRM},
+            input_schema=SaveCampaignSequencesBlock.Input,
+            output_schema=SaveCampaignSequencesBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "campaign_id": 1,
+                "sequences": [],
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_output=[
+                (
+                    "message",
+                    "Sequences saved successfully",
+                ),
+            ],
+            test_mock={
+                "save_campaign_sequences": lambda campaign_id, sequences, credentials: SaveSequencesResponse(
+                    ok=True,
+                    message="Sequences saved successfully",
+                )
+            },
+        )
+
+    @staticmethod
+    async def save_campaign_sequences(
+        campaign_id: int, sequences: list[Sequence], credentials: SmartLeadCredentials
+    ) -> SaveSequencesResponse:
+        client = SmartLeadClient(credentials.api_key.get_secret_value())
+        return await client.save_campaign_sequences(
+            campaign_id=campaign_id, request=SaveSequencesRequest(sequences=sequences)
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: SmartLeadCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        response = await self.save_campaign_sequences(
+            input_data.campaign_id, input_data.sequences, credentials
+        )
+
+        if response.data:
+            yield "data", response.data
+        if response.message:
+            yield "message", response.message
+        if response.error:
+            yield "error", response.error
+        if not response.ok:
+            yield "error", "Failed to save sequences"
diff --git a/autogpt_platform/backend/backend/blocks/smartlead/models.py b/autogpt_platform/backend/backend/blocks/smartlead/models.py
new file mode 100644
index 000000000000..236d04c95e4f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/smartlead/models.py
@@ -0,0 +1,147 @@
+from enum import Enum
+
+from pydantic import BaseModel
+
+from backend.data.model import SchemaField
+
+
+class CreateCampaignResponse(BaseModel):
+    ok: bool
+    id: int
+    name: str
+    created_at: str
+
+
+class CreateCampaignRequest(BaseModel):
+    name: str
+    client_id: str | None = None
+
+
+class AddLeadsToCampaignResponse(BaseModel):
+    ok: bool
+    upload_count: int
+    total_leads: int
+    block_count: int
+    duplicate_count: int
+    invalid_email_count: int
+    invalid_emails: list[str]
+    already_added_to_campaign: int
+    unsubscribed_leads: list[str]
+    is_lead_limit_exhausted: bool
+    lead_import_stopped_count: int
+    bounce_count: int
+    error: str | None = None
+
+
+class LeadCustomFields(BaseModel):
+    """Custom fields for a lead (max 20 fields)"""
+
+    fields: dict[str, str] = SchemaField(
+        description="Custom fields for a lead (max 20 fields)",
+        max_length=20,
+        default_factory=dict,
+    )
+
+
+class LeadInput(BaseModel):
+    """Single lead input data"""
+
+    first_name: str
+    last_name: str
+    email: str
+    phone_number: str | None = None  # Changed from int to str for phone numbers
+    company_name: str | None = None
+    website: str | None = None
+    location: str | None = None
+    custom_fields: LeadCustomFields | None = None
+    linkedin_profile: str | None = None
+    company_url: str | None = None
+
+
+class LeadUploadSettings(BaseModel):
+    """Settings for lead upload"""
+
+    ignore_global_block_list: bool = SchemaField(
+        description="Ignore the global block list",
+        default=False,
+    )
+    ignore_unsubscribe_list: bool = SchemaField(
+        description="Ignore the unsubscribe list",
+        default=False,
+    )
+    ignore_community_bounce_list: bool = SchemaField(
+        description="Ignore the community bounce list",
+        default=False,
+    )
+    ignore_duplicate_leads_in_other_campaign: bool = SchemaField(
+        description="Ignore duplicate leads in other campaigns",
+        default=False,
+    )
+
+
+class AddLeadsRequest(BaseModel):
+    """Request body for adding leads to a campaign"""
+
+    lead_list: list[LeadInput] = SchemaField(
+        description="List of leads to add to the campaign",
+        max_length=100,
+        default_factory=list,
+    )
+    settings: LeadUploadSettings
+    campaign_id: int
+
+
+class VariantDistributionType(str, Enum):
+    MANUAL_EQUAL = "MANUAL_EQUAL"
+    MANUAL_PERCENTAGE = "MANUAL_PERCENTAGE"
+    AI_EQUAL = "AI_EQUAL"
+
+
+class WinningMetricProperty(str, Enum):
+    OPEN_RATE = "OPEN_RATE"
+    CLICK_RATE = "CLICK_RATE"
+    REPLY_RATE = "REPLY_RATE"
+    POSITIVE_REPLY_RATE = "POSITIVE_REPLY_RATE"
+
+
+class SequenceDelayDetails(BaseModel):
+    delay_in_days: int
+
+
+class SequenceVariant(BaseModel):
+    subject: str
+    email_body: str
+    variant_label: str
+    id: int | None = None  # Optional for creation, required for updates
+    variant_distribution_percentage: int | None = None
+
+
+class Sequence(BaseModel):
+    seq_number: int = SchemaField(
+        description="The sequence number",
+        default=1,
+    )
+    seq_delay_details: SequenceDelayDetails
+    id: int | None = None
+    variant_distribution_type: VariantDistributionType | None = None
+    lead_distribution_percentage: int | None = SchemaField(
+        None, ge=20, le=100
+    )  # >= 20% for fair calculation
+    winning_metric_property: WinningMetricProperty | None = None
+    seq_variants: list[SequenceVariant] | None = None
+    subject: str = ""  # blank makes the follow up in the same thread
+    email_body: str | None = None
+
+
+class SaveSequencesRequest(BaseModel):
+    sequences: list[Sequence]
+
+
+class SaveSequencesResponse(BaseModel):
+    ok: bool
+    message: str = SchemaField(
+        description="Message from the API",
+        default="",
+    )
+    data: dict | str | None = None
+    error: str | None = None
diff --git a/autogpt_platform/backend/backend/blocks/spreadsheet.py b/autogpt_platform/backend/backend/blocks/spreadsheet.py
new file mode 100644
index 000000000000..1de849e1b05f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/spreadsheet.py
@@ -0,0 +1,180 @@
+from pathlib import Path
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import ContributorDetails, SchemaField
+from backend.util.file import get_exec_file_path, store_media_file
+from backend.util.type import MediaFileType
+
+
+class ReadSpreadsheetBlock(Block):
+    class Input(BlockSchema):
+        contents: str | None = SchemaField(
+            description="The contents of the CSV/spreadsheet data to read",
+            placeholder="a, b, c\n1,2,3\n4,5,6",
+            default=None,
+            advanced=False,
+        )
+        file_input: MediaFileType | None = SchemaField(
+            description="CSV or Excel file to read from (URL, data URI, or local path). Excel files are automatically converted to CSV",
+            default=None,
+            advanced=False,
+        )
+        delimiter: str = SchemaField(
+            description="The delimiter used in the CSV/spreadsheet data",
+            default=",",
+        )
+        quotechar: str = SchemaField(
+            description="The character used to quote fields",
+            default='"',
+        )
+        escapechar: str = SchemaField(
+            description="The character used to escape the delimiter",
+            default="\\",
+        )
+        has_header: bool = SchemaField(
+            description="Whether the CSV file has a header row",
+            default=True,
+        )
+        skip_rows: int = SchemaField(
+            description="The number of rows to skip from the start of the file",
+            default=0,
+        )
+        strip: bool = SchemaField(
+            description="Whether to strip whitespace from the values",
+            default=True,
+        )
+        skip_columns: list[str] = SchemaField(
+            description="The columns to skip from the start of the row",
+            default_factory=list,
+        )
+        produce_singular_result: bool = SchemaField(
+            description="If True, yield individual 'row' outputs only (can be slow). If False, yield both 'rows' (all data)",
+            default=False,
+        )
+
+    class Output(BlockSchema):
+        row: dict[str, str] = SchemaField(
+            description="The data produced from each row in the spreadsheet"
+        )
+        rows: list[dict[str, str]] = SchemaField(
+            description="All the data in the spreadsheet as a list of rows"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="acf7625e-d2cb-4941-bfeb-2819fc6fc015",
+            input_schema=ReadSpreadsheetBlock.Input,
+            output_schema=ReadSpreadsheetBlock.Output,
+            description="Reads CSV and Excel files and outputs the data as a list of dictionaries and individual rows. Excel files are automatically converted to CSV format.",
+            contributors=[ContributorDetails(name="Nicholas Tindle")],
+            categories={BlockCategory.TEXT, BlockCategory.DATA},
+            test_input=[
+                {
+                    "contents": "a, b, c\n1,2,3\n4,5,6",
+                    "produce_singular_result": False,
+                },
+                {
+                    "contents": "a, b, c\n1,2,3\n4,5,6",
+                    "produce_singular_result": True,
+                },
+            ],
+            test_output=[
+                (
+                    "rows",
+                    [
+                        {"a": "1", "b": "2", "c": "3"},
+                        {"a": "4", "b": "5", "c": "6"},
+                    ],
+                ),
+                ("row", {"a": "1", "b": "2", "c": "3"}),
+                ("row", {"a": "4", "b": "5", "c": "6"}),
+            ],
+        )
+
+    async def run(
+        self, input_data: Input, *, graph_exec_id: str, user_id: str, **_kwargs
+    ) -> BlockOutput:
+        import csv
+        from io import StringIO
+
+        # Determine data source - prefer file_input if provided, otherwise use contents
+        if input_data.file_input:
+            stored_file_path = await store_media_file(
+                user_id=user_id,
+                graph_exec_id=graph_exec_id,
+                file=input_data.file_input,
+                return_content=False,
+            )
+
+            # Get full file path
+            file_path = get_exec_file_path(graph_exec_id, stored_file_path)
+            if not Path(file_path).exists():
+                raise ValueError(f"File does not exist: {file_path}")
+
+            # Check if file is an Excel file and convert to CSV
+            file_extension = Path(file_path).suffix.lower()
+
+            if file_extension in [".xlsx", ".xls"]:
+                # Handle Excel files
+                try:
+                    from io import StringIO
+
+                    import pandas as pd
+
+                    # Read Excel file
+                    df = pd.read_excel(file_path)
+
+                    # Convert to CSV string
+                    csv_buffer = StringIO()
+                    df.to_csv(csv_buffer, index=False)
+                    csv_content = csv_buffer.getvalue()
+
+                except ImportError:
+                    raise ValueError(
+                        "pandas library is required to read Excel files. Please install it."
+                    )
+                except Exception as e:
+                    raise ValueError(f"Unable to read Excel file: {e}")
+            else:
+                # Handle CSV/text files
+                csv_content = Path(file_path).read_text(encoding="utf-8")
+        elif input_data.contents:
+            # Use direct string content
+            csv_content = input_data.contents
+        else:
+            raise ValueError("Either 'contents' or 'file_input' must be provided")
+
+        csv_file = StringIO(csv_content)
+        reader = csv.reader(
+            csv_file,
+            delimiter=input_data.delimiter,
+            quotechar=input_data.quotechar,
+            escapechar=input_data.escapechar,
+        )
+
+        header = None
+        if input_data.has_header:
+            header = next(reader)
+            if input_data.strip:
+                header = [h.strip() for h in header]
+
+        for _ in range(input_data.skip_rows):
+            next(reader)
+
+        def process_row(row):
+            data = {}
+            for i, value in enumerate(row):
+                if i not in input_data.skip_columns:
+                    if input_data.has_header and header:
+                        data[header[i]] = value.strip() if input_data.strip else value
+                    else:
+                        data[str(i)] = value.strip() if input_data.strip else value
+            return data
+
+        rows = [process_row(row) for row in reader]
+
+        if input_data.produce_singular_result:
+            for processed_row in rows:
+                yield "row", processed_row
+        else:
+            yield "rows", rows
diff --git a/autogpt_platform/backend/backend/blocks/stagehand/__init__.py b/autogpt_platform/backend/backend/blocks/stagehand/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/blocks/stagehand/_config.py b/autogpt_platform/backend/backend/blocks/stagehand/_config.py
new file mode 100644
index 000000000000..43ec6cd5ac05
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/stagehand/_config.py
@@ -0,0 +1,8 @@
+from backend.sdk import BlockCostType, ProviderBuilder
+
+stagehand = (
+    ProviderBuilder("stagehand")
+    .with_api_key("STAGEHAND_API_KEY", "Stagehand API Key")
+    .with_base_cost(1, BlockCostType.RUN)
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/stagehand/blocks.py b/autogpt_platform/backend/backend/blocks/stagehand/blocks.py
new file mode 100644
index 000000000000..50ec368dd20b
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/stagehand/blocks.py
@@ -0,0 +1,393 @@
+import logging
+import signal
+import threading
+from contextlib import contextmanager
+from enum import Enum
+
+# Monkey patch Stagehands to prevent signal handling in worker threads
+import stagehand.main
+from stagehand import Stagehand
+
+from backend.blocks.llm import (
+    MODEL_METADATA,
+    AICredentials,
+    AICredentialsField,
+    LlmModel,
+    ModelMetadata,
+)
+from backend.blocks.stagehand._config import stagehand as stagehand_provider
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+# Store the original method
+original_register_signal_handlers = stagehand.main.Stagehand._register_signal_handlers
+
+
+def safe_register_signal_handlers(self):
+    """Only register signal handlers in the main thread"""
+    if threading.current_thread() is threading.main_thread():
+        original_register_signal_handlers(self)
+    else:
+        # Skip signal handling in worker threads
+        pass
+
+
+# Replace the method
+stagehand.main.Stagehand._register_signal_handlers = safe_register_signal_handlers
+
+
+@contextmanager
+def disable_signal_handling():
+    """Context manager to temporarily disable signal handling"""
+    if threading.current_thread() is not threading.main_thread():
+        # In worker threads, temporarily replace signal.signal with a no-op
+        original_signal = signal.signal
+
+        def noop_signal(*args, **kwargs):
+            pass
+
+        signal.signal = noop_signal
+        try:
+            yield
+        finally:
+            signal.signal = original_signal
+    else:
+        # In main thread, don't modify anything
+        yield
+
+
+logger = logging.getLogger(__name__)
+
+
+class StagehandRecommendedLlmModel(str, Enum):
+    """
+    This is subset of LLModel from autogpt_platform/backend/backend/blocks/llm.py
+
+    It contains only the models recommended by Stagehand
+    """
+
+    # OpenAI
+    GPT41 = "gpt-4.1-2025-04-14"
+    GPT41_MINI = "gpt-4.1-mini-2025-04-14"
+
+    # Anthropic
+    CLAUDE_3_7_SONNET = "claude-3-7-sonnet-20250219"
+
+    @property
+    def provider_name(self) -> str:
+        """
+        Returns the provider name for the model in the required format for Stagehand:
+        provider/model_name
+        """
+        model_metadata = MODEL_METADATA[LlmModel(self.value)]
+        model_name = self.value
+
+        if len(model_name.split("/")) == 1 and not self.value.startswith(
+            model_metadata.provider
+        ):
+            assert (
+                model_metadata.provider != "open_router"
+            ), "Logic failed and open_router provider attempted to be prepended to model name! in stagehand/_config.py"
+            model_name = f"{model_metadata.provider}/{model_name}"
+
+        logger.error(f"Model name: {model_name}")
+        return model_name
+
+    @property
+    def provider(self) -> str:
+        return MODEL_METADATA[LlmModel(self.value)].provider
+
+    @property
+    def metadata(self) -> ModelMetadata:
+        return MODEL_METADATA[LlmModel(self.value)]
+
+    @property
+    def context_window(self) -> int:
+        return MODEL_METADATA[LlmModel(self.value)].context_window
+
+    @property
+    def max_output_tokens(self) -> int | None:
+        return MODEL_METADATA[LlmModel(self.value)].max_output_tokens
+
+
+class StagehandObserveBlock(Block):
+    class Input(BlockSchema):
+        # Browserbase credentials (Stagehand provider) or raw API key
+        stagehand_credentials: CredentialsMetaInput = (
+            stagehand_provider.credentials_field(
+                description="Stagehand/Browserbase API key"
+            )
+        )
+        browserbase_project_id: str = SchemaField(
+            description="Browserbase project ID (required if using Browserbase)",
+        )
+        # Model selection and credentials (provider-discriminated like llm.py)
+        model: StagehandRecommendedLlmModel = SchemaField(
+            title="LLM Model",
+            description="LLM to use for Stagehand (provider is inferred)",
+            default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
+            advanced=False,
+        )
+        model_credentials: AICredentials = AICredentialsField()
+        url: str = SchemaField(
+            description="URL to navigate to.",
+        )
+        instruction: str = SchemaField(
+            description="Natural language description of elements or actions to discover.",
+        )
+        iframes: bool = SchemaField(
+            description="Whether to search within iframes. If True, Stagehand will search for actions within iframes.",
+            default=True,
+        )
+        domSettleTimeoutMs: int = SchemaField(
+            description="Timeout in milliseconds for DOM settlement.Wait longer for dynamic content",
+            default=45000,
+        )
+
+    class Output(BlockSchema):
+        selector: str = SchemaField(description="XPath selector to locate element.")
+        description: str = SchemaField(description="Human-readable description")
+        method: str | None = SchemaField(description="Suggested action method")
+        arguments: list[str] | None = SchemaField(
+            description="Additional action parameters"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="d3863944-0eaf-45c4-a0c9-63e0fe1ee8b9",
+            description="Find suggested actions for your workflows",
+            categories={BlockCategory.AI, BlockCategory.DEVELOPER_TOOLS},
+            input_schema=StagehandObserveBlock.Input,
+            output_schema=StagehandObserveBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        stagehand_credentials: APIKeyCredentials,
+        model_credentials: APIKeyCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+
+        logger.info(f"OBSERVE: Stagehand credentials: {stagehand_credentials}")
+        logger.info(
+            f"OBSERVE: Model credentials: {model_credentials} for provider {model_credentials.provider} secret: {model_credentials.api_key.get_secret_value()}"
+        )
+
+        with disable_signal_handling():
+            stagehand = Stagehand(
+                api_key=stagehand_credentials.api_key.get_secret_value(),
+                project_id=input_data.browserbase_project_id,
+                model_name=input_data.model.provider_name,
+                model_api_key=model_credentials.api_key.get_secret_value(),
+            )
+
+            await stagehand.init()
+
+        page = stagehand.page
+
+        assert page is not None, "Stagehand page is not initialized"
+
+        await page.goto(input_data.url)
+
+        observe_results = await page.observe(
+            input_data.instruction,
+            iframes=input_data.iframes,
+            domSettleTimeoutMs=input_data.domSettleTimeoutMs,
+        )
+        for result in observe_results:
+            yield "selector", result.selector
+            yield "description", result.description
+            yield "method", result.method
+            yield "arguments", result.arguments
+
+
+class StagehandActBlock(Block):
+    class Input(BlockSchema):
+        # Browserbase credentials (Stagehand provider) or raw API key
+        stagehand_credentials: CredentialsMetaInput = (
+            stagehand_provider.credentials_field(
+                description="Stagehand/Browserbase API key"
+            )
+        )
+        browserbase_project_id: str = SchemaField(
+            description="Browserbase project ID (required if using Browserbase)",
+        )
+        # Model selection and credentials (provider-discriminated like llm.py)
+        model: StagehandRecommendedLlmModel = SchemaField(
+            title="LLM Model",
+            description="LLM to use for Stagehand (provider is inferred)",
+            default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
+            advanced=False,
+        )
+        model_credentials: AICredentials = AICredentialsField()
+        url: str = SchemaField(
+            description="URL to navigate to.",
+        )
+        action: list[str] = SchemaField(
+            description="Action to perform. Suggested actions are: click, fill, type, press, scroll, select from dropdown. For multi-step actions, add an entry for each step.",
+        )
+        variables: dict[str, str] = SchemaField(
+            description="Variables to use in the action. Variables contains data you want the action to use.",
+            default_factory=dict,
+        )
+        iframes: bool = SchemaField(
+            description="Whether to search within iframes. If True, Stagehand will search for actions within iframes.",
+            default=True,
+        )
+        domSettleTimeoutMs: int = SchemaField(
+            description="Timeout in milliseconds for DOM settlement.Wait longer for dynamic content",
+            default=45000,
+        )
+        timeoutMs: int = SchemaField(
+            description="Timeout in milliseconds for DOM ready. Extended timeout for slow-loading forms",
+            default=60000,
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the action was completed successfully"
+        )
+        message: str = SchemaField(description="Details about the action’s execution.")
+        action: str = SchemaField(description="Action performed")
+
+    def __init__(self):
+        super().__init__(
+            id="86eba68b-9549-4c0b-a0db-47d85a56cc27",
+            description="Interact with a web page by performing actions on a web page. Use it to build self-healing and deterministic automations that adapt to website chang.",
+            categories={BlockCategory.AI, BlockCategory.DEVELOPER_TOOLS},
+            input_schema=StagehandActBlock.Input,
+            output_schema=StagehandActBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        stagehand_credentials: APIKeyCredentials,
+        model_credentials: APIKeyCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+
+        logger.info(f"ACT: Stagehand credentials: {stagehand_credentials}")
+        logger.info(
+            f"ACT: Model credentials: {model_credentials} for provider {model_credentials.provider} secret: {model_credentials.api_key.get_secret_value()}"
+        )
+
+        with disable_signal_handling():
+            stagehand = Stagehand(
+                api_key=stagehand_credentials.api_key.get_secret_value(),
+                project_id=input_data.browserbase_project_id,
+                model_name=input_data.model.provider_name,
+                model_api_key=model_credentials.api_key.get_secret_value(),
+            )
+
+            await stagehand.init()
+
+        page = stagehand.page
+
+        assert page is not None, "Stagehand page is not initialized"
+
+        await page.goto(input_data.url)
+        for action in input_data.action:
+            action_results = await page.act(
+                action,
+                variables=input_data.variables,
+                iframes=input_data.iframes,
+                domSettleTimeoutMs=input_data.domSettleTimeoutMs,
+                timeoutMs=input_data.timeoutMs,
+            )
+            yield "success", action_results.success
+            yield "message", action_results.message
+            yield "action", action_results.action
+
+
+class StagehandExtractBlock(Block):
+    class Input(BlockSchema):
+        # Browserbase credentials (Stagehand provider) or raw API key
+        stagehand_credentials: CredentialsMetaInput = (
+            stagehand_provider.credentials_field(
+                description="Stagehand/Browserbase API key"
+            )
+        )
+        browserbase_project_id: str = SchemaField(
+            description="Browserbase project ID (required if using Browserbase)",
+        )
+        # Model selection and credentials (provider-discriminated like llm.py)
+        model: StagehandRecommendedLlmModel = SchemaField(
+            title="LLM Model",
+            description="LLM to use for Stagehand (provider is inferred)",
+            default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
+            advanced=False,
+        )
+        model_credentials: AICredentials = AICredentialsField()
+        url: str = SchemaField(
+            description="URL to navigate to.",
+        )
+        instruction: str = SchemaField(
+            description="Natural language description of elements or actions to discover.",
+        )
+        iframes: bool = SchemaField(
+            description="Whether to search within iframes. If True, Stagehand will search for actions within iframes.",
+            default=True,
+        )
+        domSettleTimeoutMs: int = SchemaField(
+            description="Timeout in milliseconds for DOM settlement.Wait longer for dynamic content",
+            default=45000,
+        )
+
+    class Output(BlockSchema):
+        extraction: str = SchemaField(description="Extracted data from the page.")
+
+    def __init__(self):
+        super().__init__(
+            id="fd3c0b18-2ba6-46ae-9339-fcb40537ad98",
+            description="Extract structured data from a webpage.",
+            categories={BlockCategory.AI, BlockCategory.DEVELOPER_TOOLS},
+            input_schema=StagehandExtractBlock.Input,
+            output_schema=StagehandExtractBlock.Output,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        stagehand_credentials: APIKeyCredentials,
+        model_credentials: APIKeyCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+
+        logger.info(f"EXTRACT: Stagehand credentials: {stagehand_credentials}")
+        logger.info(
+            f"EXTRACT: Model credentials: {model_credentials} for provider {model_credentials.provider} secret: {model_credentials.api_key.get_secret_value()}"
+        )
+
+        with disable_signal_handling():
+            stagehand = Stagehand(
+                api_key=stagehand_credentials.api_key.get_secret_value(),
+                project_id=input_data.browserbase_project_id,
+                model_name=input_data.model.provider_name,
+                model_api_key=model_credentials.api_key.get_secret_value(),
+            )
+
+            await stagehand.init()
+
+        page = stagehand.page
+
+        assert page is not None, "Stagehand page is not initialized"
+
+        await page.goto(input_data.url)
+        extraction = await page.extract(
+            input_data.instruction,
+            iframes=input_data.iframes,
+            domSettleTimeoutMs=input_data.domSettleTimeoutMs,
+        )
+        yield "extraction", str(extraction.model_dump()["extraction"])
diff --git a/autogpt_platform/backend/backend/blocks/system/__init__.py b/autogpt_platform/backend/backend/blocks/system/__init__.py
new file mode 100644
index 000000000000..8b137891791f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/system/__init__.py
@@ -0,0 +1 @@
+
diff --git a/autogpt_platform/backend/backend/blocks/system/library_operations.py b/autogpt_platform/backend/backend/blocks/system/library_operations.py
new file mode 100644
index 000000000000..2cf1aec0db26
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/system/library_operations.py
@@ -0,0 +1,283 @@
+import logging
+from typing import Any
+
+from pydantic import BaseModel
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.clients import get_database_manager_async_client
+
+logger = logging.getLogger(__name__)
+
+
+# Duplicate pydantic models for store data so we don't accidently change the data shape in the blocks unintentionally when editing the backend
+class LibraryAgent(BaseModel):
+    """Model representing an agent in the user's library."""
+
+    library_agent_id: str = ""
+    agent_id: str = ""
+    agent_version: int = 0
+    agent_name: str = ""
+    description: str = ""
+    creator: str = ""
+    is_archived: bool = False
+    categories: list[str] = []
+
+
+class AddToLibraryFromStoreBlock(Block):
+    """
+    Block that adds an agent from the store to the user's library.
+    This enables users to easily import agents from the marketplace into their personal collection.
+    """
+
+    class Input(BlockSchema):
+        store_listing_version_id: str = SchemaField(
+            description="The ID of the store listing version to add to library"
+        )
+        agent_name: str | None = SchemaField(
+            description="Optional custom name for the agent in your library",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the agent was successfully added to library"
+        )
+        library_agent_id: str = SchemaField(
+            description="The ID of the library agent entry"
+        )
+        agent_id: str = SchemaField(description="The ID of the agent graph")
+        agent_version: int = SchemaField(
+            description="The version number of the agent graph"
+        )
+        agent_name: str = SchemaField(description="The name of the agent")
+        message: str = SchemaField(description="Success or error message")
+
+    def __init__(self):
+        super().__init__(
+            id="2602a7b1-3f4d-4e5f-9c8b-1a2b3c4d5e6f",
+            description="Add an agent from the store to your personal library",
+            categories={BlockCategory.BASIC},
+            input_schema=AddToLibraryFromStoreBlock.Input,
+            output_schema=AddToLibraryFromStoreBlock.Output,
+            test_input={
+                "store_listing_version_id": "test-listing-id",
+                "agent_name": "My Custom Agent",
+            },
+            test_output=[
+                ("success", True),
+                ("library_agent_id", "test-library-id"),
+                ("agent_id", "test-agent-id"),
+                ("agent_version", 1),
+                ("agent_name", "Test Agent"),
+                ("message", "Agent successfully added to library"),
+            ],
+            test_mock={
+                "_add_to_library": lambda *_, **__: LibraryAgent(
+                    library_agent_id="test-library-id",
+                    agent_id="test-agent-id",
+                    agent_version=1,
+                    agent_name="Test Agent",
+                )
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        library_agent = await self._add_to_library(
+            user_id=user_id,
+            store_listing_version_id=input_data.store_listing_version_id,
+            custom_name=input_data.agent_name,
+        )
+
+        yield "success", True
+        yield "library_agent_id", library_agent.library_agent_id
+        yield "agent_id", library_agent.agent_id
+        yield "agent_version", library_agent.agent_version
+        yield "agent_name", library_agent.agent_name
+        yield "message", "Agent successfully added to library"
+
+    async def _add_to_library(
+        self,
+        user_id: str,
+        store_listing_version_id: str,
+        custom_name: str | None = None,
+    ) -> LibraryAgent:
+        """
+        Add a store agent to the user's library using the existing library database function.
+        """
+        library_agent = (
+            await get_database_manager_async_client().add_store_agent_to_library(
+                store_listing_version_id=store_listing_version_id, user_id=user_id
+            )
+        )
+
+        # If custom name is provided, we could update the library agent name here
+        # For now, we'll just return the agent info
+        agent_name = custom_name if custom_name else library_agent.name
+
+        return LibraryAgent(
+            library_agent_id=library_agent.id,
+            agent_id=library_agent.graph_id,
+            agent_version=library_agent.graph_version,
+            agent_name=agent_name,
+        )
+
+
+class ListLibraryAgentsBlock(Block):
+    """
+    Block that lists all agents in the user's library.
+    """
+
+    class Input(BlockSchema):
+        search_query: str | None = SchemaField(
+            description="Optional search query to filter agents", default=None
+        )
+        limit: int = SchemaField(
+            description="Maximum number of agents to return", default=50, ge=1, le=100
+        )
+        page: int = SchemaField(
+            description="Page number for pagination", default=1, ge=1
+        )
+
+    class Output(BlockSchema):
+        agents: list[LibraryAgent] = SchemaField(
+            description="List of agents in the library",
+            default_factory=list,
+        )
+        agent: LibraryAgent = SchemaField(
+            description="Individual library agent (yielded for each agent)"
+        )
+        total_count: int = SchemaField(
+            description="Total number of agents in library", default=0
+        )
+        page: int = SchemaField(description="Current page number", default=1)
+        total_pages: int = SchemaField(description="Total number of pages", default=1)
+
+    def __init__(self):
+        super().__init__(
+            id="082602d3-a74d-4600-9e9c-15b3af7eae98",
+            description="List all agents in your personal library",
+            categories={BlockCategory.BASIC, BlockCategory.DATA},
+            input_schema=ListLibraryAgentsBlock.Input,
+            output_schema=ListLibraryAgentsBlock.Output,
+            test_input={
+                "search_query": None,
+                "limit": 10,
+                "page": 1,
+            },
+            test_output=[
+                (
+                    "agents",
+                    [
+                        LibraryAgent(
+                            library_agent_id="test-lib-id",
+                            agent_id="test-agent-id",
+                            agent_version=1,
+                            agent_name="Test Library Agent",
+                            description="A test agent in library",
+                            creator="Test User",
+                        ),
+                    ],
+                ),
+                ("total_count", 1),
+                ("page", 1),
+                ("total_pages", 1),
+                (
+                    "agent",
+                    LibraryAgent(
+                        library_agent_id="test-lib-id",
+                        agent_id="test-agent-id",
+                        agent_version=1,
+                        agent_name="Test Library Agent",
+                        description="A test agent in library",
+                        creator="Test User",
+                    ),
+                ),
+            ],
+            test_mock={
+                "_list_library_agents": lambda *_, **__: {
+                    "agents": [
+                        LibraryAgent(
+                            library_agent_id="test-lib-id",
+                            agent_id="test-agent-id",
+                            agent_version=1,
+                            agent_name="Test Library Agent",
+                            description="A test agent in library",
+                            creator="Test User",
+                        )
+                    ],
+                    "total": 1,
+                    "page": 1,
+                    "total_pages": 1,
+                }
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        user_id: str,
+        **kwargs,
+    ) -> BlockOutput:
+        result = await self._list_library_agents(
+            user_id=user_id,
+            search_query=input_data.search_query,
+            limit=input_data.limit,
+            page=input_data.page,
+        )
+
+        agents = result["agents"]
+
+        yield "agents", agents
+        yield "total_count", result["total"]
+        yield "page", result["page"]
+        yield "total_pages", result["total_pages"]
+
+        # Yield each agent individually for better graph connectivity
+        for agent in agents:
+            yield "agent", agent
+
+    async def _list_library_agents(
+        self,
+        user_id: str,
+        search_query: str | None = None,
+        limit: int = 50,
+        page: int = 1,
+    ) -> dict[str, Any]:
+        """
+        List agents in the user's library using the database client.
+        """
+        result = await get_database_manager_async_client().list_library_agents(
+            user_id=user_id,
+            search_term=search_query,
+            page=page,
+            page_size=limit,
+        )
+
+        agents = [
+            LibraryAgent(
+                library_agent_id=agent.id,
+                agent_id=agent.graph_id,
+                agent_version=agent.graph_version,
+                agent_name=agent.name,
+                description=getattr(agent, "description", ""),
+                creator=getattr(agent, "creator", ""),
+                is_archived=getattr(agent, "is_archived", False),
+                categories=getattr(agent, "categories", []),
+            )
+            for agent in result.agents
+        ]
+
+        return {
+            "agents": agents,
+            "total": result.pagination.total_items,
+            "page": result.pagination.current_page,
+            "total_pages": result.pagination.total_pages,
+        }
diff --git a/autogpt_platform/backend/backend/blocks/system/store_operations.py b/autogpt_platform/backend/backend/blocks/system/store_operations.py
new file mode 100644
index 000000000000..6f5763bc93a0
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/system/store_operations.py
@@ -0,0 +1,311 @@
+import logging
+from typing import Literal
+
+from pydantic import BaseModel
+
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+from backend.util.clients import get_database_manager_async_client
+
+logger = logging.getLogger(__name__)
+
+
+# Duplicate pydantic models for store data so we don't accidently change the data shape in the blocks unintentionally when editing the backend
+class StoreAgent(BaseModel):
+    """Model representing a store agent."""
+
+    slug: str = ""
+    name: str = ""
+    description: str = ""
+    creator: str = ""
+    rating: float = 0.0
+    runs: int = 0
+    categories: list[str] = []
+
+
+class StoreAgentDict(BaseModel):
+    """Dictionary representation of a store agent."""
+
+    slug: str
+    name: str
+    description: str
+    creator: str
+    rating: float
+    runs: int
+
+
+class SearchAgentsResponse(BaseModel):
+    """Response from searching store agents."""
+
+    agents: list[StoreAgentDict]
+    total_count: int
+
+
+class StoreAgentDetails(BaseModel):
+    """Detailed information about a store agent."""
+
+    found: bool
+    store_listing_version_id: str = ""
+    agent_name: str = ""
+    description: str = ""
+    creator: str = ""
+    categories: list[str] = []
+    runs: int = 0
+    rating: float = 0.0
+
+
+class GetStoreAgentDetailsBlock(Block):
+    """
+    Block that retrieves detailed information about an agent from the store.
+    """
+
+    class Input(BlockSchema):
+        creator: str = SchemaField(description="The username of the agent creator")
+        slug: str = SchemaField(description="The name of the agent")
+
+    class Output(BlockSchema):
+        found: bool = SchemaField(
+            description="Whether the agent was found in the store"
+        )
+        store_listing_version_id: str = SchemaField(
+            description="The store listing version ID"
+        )
+        agent_name: str = SchemaField(description="Name of the agent")
+        description: str = SchemaField(description="Description of the agent")
+        creator: str = SchemaField(description="Creator of the agent")
+        categories: list[str] = SchemaField(
+            description="Categories the agent belongs to", default_factory=list
+        )
+        runs: int = SchemaField(
+            description="Number of times the agent has been run", default=0
+        )
+        rating: float = SchemaField(
+            description="Average rating of the agent", default=0.0
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="b604f0ec-6e0d-40a7-bf55-9fd09997cced",
+            description="Get detailed information about an agent from the store",
+            categories={BlockCategory.BASIC, BlockCategory.DATA},
+            input_schema=GetStoreAgentDetailsBlock.Input,
+            output_schema=GetStoreAgentDetailsBlock.Output,
+            test_input={"creator": "test-creator", "slug": "test-agent-slug"},
+            test_output=[
+                ("found", True),
+                ("store_listing_version_id", "test-listing-id"),
+                ("agent_name", "Test Agent"),
+                ("description", "A test agent"),
+                ("creator", "Test Creator"),
+                ("categories", ["productivity", "automation"]),
+                ("runs", 100),
+                ("rating", 4.5),
+            ],
+            test_mock={
+                "_get_agent_details": lambda *_, **__: StoreAgentDetails(
+                    found=True,
+                    store_listing_version_id="test-listing-id",
+                    agent_name="Test Agent",
+                    description="A test agent",
+                    creator="Test Creator",
+                    categories=["productivity", "automation"],
+                    runs=100,
+                    rating=4.5,
+                )
+            },
+            static_output=True,
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        **kwargs,
+    ) -> BlockOutput:
+        details = await self._get_agent_details(
+            creator=input_data.creator, slug=input_data.slug
+        )
+        yield "found", details.found
+        yield "store_listing_version_id", details.store_listing_version_id
+        yield "agent_name", details.agent_name
+        yield "description", details.description
+        yield "creator", details.creator
+        yield "categories", details.categories
+        yield "runs", details.runs
+        yield "rating", details.rating
+
+    async def _get_agent_details(self, creator: str, slug: str) -> StoreAgentDetails:
+        """
+        Retrieve detailed information about a store agent.
+        """
+        # Get by specific version ID
+        agent_details = (
+            await get_database_manager_async_client().get_store_agent_details(
+                username=creator, agent_name=slug
+            )
+        )
+
+        return StoreAgentDetails(
+            found=True,
+            store_listing_version_id=agent_details.store_listing_version_id,
+            agent_name=agent_details.agent_name,
+            description=agent_details.description,
+            creator=agent_details.creator,
+            categories=(
+                agent_details.categories if hasattr(agent_details, "categories") else []
+            ),
+            runs=agent_details.runs,
+            rating=agent_details.rating,
+        )
+
+
+class SearchStoreAgentsBlock(Block):
+    """
+    Block that searches for agents in the store based on various criteria.
+    """
+
+    class Input(BlockSchema):
+        query: str | None = SchemaField(
+            description="Search query to find agents", default=None
+        )
+        category: str | None = SchemaField(
+            description="Filter by category", default=None
+        )
+        sort_by: Literal["rating", "runs", "name", "recent"] = SchemaField(
+            description="How to sort the results", default="rating"
+        )
+        limit: int = SchemaField(
+            description="Maximum number of results to return", default=10, ge=1, le=100
+        )
+
+    class Output(BlockSchema):
+        agents: list[StoreAgent] = SchemaField(
+            description="List of agents matching the search criteria",
+            default_factory=list,
+        )
+        agent: StoreAgent = SchemaField(description="Basic information of the agent")
+        total_count: int = SchemaField(
+            description="Total number of agents found", default=0
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="39524701-026c-4328-87cc-1b88c8e2cb4c",
+            description="Search for agents in the store",
+            categories={BlockCategory.BASIC, BlockCategory.DATA},
+            input_schema=SearchStoreAgentsBlock.Input,
+            output_schema=SearchStoreAgentsBlock.Output,
+            test_input={
+                "query": "productivity",
+                "category": None,
+                "sort_by": "rating",
+                "limit": 10,
+            },
+            test_output=[
+                (
+                    "agents",
+                    [
+                        {
+                            "slug": "test-agent",
+                            "name": "Test Agent",
+                            "description": "A test agent",
+                            "creator": "Test Creator",
+                            "rating": 4.5,
+                            "runs": 100,
+                        }
+                    ],
+                ),
+                ("total_count", 1),
+                (
+                    "agent",
+                    {
+                        "slug": "test-agent",
+                        "name": "Test Agent",
+                        "description": "A test agent",
+                        "creator": "Test Creator",
+                        "rating": 4.5,
+                        "runs": 100,
+                    },
+                ),
+            ],
+            test_mock={
+                "_search_agents": lambda *_, **__: SearchAgentsResponse(
+                    agents=[
+                        StoreAgentDict(
+                            slug="test-agent",
+                            name="Test Agent",
+                            description="A test agent",
+                            creator="Test Creator",
+                            rating=4.5,
+                            runs=100,
+                        )
+                    ],
+                    total_count=1,
+                )
+            },
+        )
+
+    async def run(
+        self,
+        input_data: Input,
+        **kwargs,
+    ) -> BlockOutput:
+        result = await self._search_agents(
+            query=input_data.query,
+            category=input_data.category,
+            sort_by=input_data.sort_by,
+            limit=input_data.limit,
+        )
+
+        agents = result.agents
+        total_count = result.total_count
+
+        # Convert to dict for output
+        agents_as_dicts = [agent.model_dump() for agent in agents]
+
+        yield "agents", agents_as_dicts
+        yield "total_count", total_count
+
+        for agent_dict in agents_as_dicts:
+            yield "agent", agent_dict
+
+    async def _search_agents(
+        self,
+        query: str | None = None,
+        category: str | None = None,
+        sort_by: str = "rating",
+        limit: int = 10,
+    ) -> SearchAgentsResponse:
+        """
+        Search for agents in the store using the existing store database function.
+        """
+        # Map our sort_by to the store's sorted_by parameter
+        sorted_by_map = {
+            "rating": "most_popular",
+            "runs": "most_runs",
+            "name": "alphabetical",
+            "recent": "recently_updated",
+        }
+
+        result = await get_database_manager_async_client().get_store_agents(
+            featured=False,
+            creators=None,
+            sorted_by=sorted_by_map.get(sort_by, "most_popular"),
+            search_query=query,
+            category=category,
+            page=1,
+            page_size=limit,
+        )
+
+        agents = [
+            StoreAgentDict(
+                slug=agent.slug,
+                name=agent.agent_name,
+                description=agent.description,
+                creator=agent.creator,
+                rating=agent.rating,
+                runs=agent.runs,
+            )
+            for agent in result.agents
+        ]
+
+        return SearchAgentsResponse(agents=agents, total_count=len(agents))
diff --git a/autogpt_platform/backend/backend/blocks/talking_head.py b/autogpt_platform/backend/backend/blocks/talking_head.py
index e1965dbc64bf..3861cb7752f7 100644
--- a/autogpt_platform/backend/backend/blocks/talking_head.py
+++ b/autogpt_platform/backend/backend/blocks/talking_head.py
@@ -1,4 +1,4 @@
-import time
+import asyncio
 from typing import Literal
 
 from pydantic import SecretStr
@@ -11,7 +11,7 @@
     SchemaField,
 )
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
@@ -78,7 +78,7 @@ def __init__(self):
         super().__init__(
             id="98c6f503-8c47-4b1c-a96d-351fc7c87dab",
             description="This block integrates with D-ID to create video clips and retrieve their URLs.",
-            categories={BlockCategory.AI},
+            categories={BlockCategory.AI, BlockCategory.MULTIMEDIA},
             input_schema=CreateTalkingAvatarVideoBlock.Input,
             output_schema=CreateTalkingAvatarVideoBlock.Output,
             test_input={
@@ -113,26 +113,26 @@ def __init__(self):
             test_credentials=TEST_CREDENTIALS,
         )
 
-    def create_clip(self, api_key: SecretStr, payload: dict) -> dict:
+    async def create_clip(self, api_key: SecretStr, payload: dict) -> dict:
         url = "https://api.d-id.com/clips"
         headers = {
             "accept": "application/json",
             "content-type": "application/json",
             "authorization": f"Basic {api_key.get_secret_value()}",
         }
-        response = requests.post(url, json=payload, headers=headers)
+        response = await Requests().post(url, json=payload, headers=headers)
         return response.json()
 
-    def get_clip_status(self, api_key: SecretStr, clip_id: str) -> dict:
+    async def get_clip_status(self, api_key: SecretStr, clip_id: str) -> dict:
         url = f"https://api.d-id.com/clips/{clip_id}"
         headers = {
             "accept": "application/json",
             "authorization": f"Basic {api_key.get_secret_value()}",
         }
-        response = requests.get(url, headers=headers)
+        response = await Requests().get(url, headers=headers)
         return response.json()
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         # Create the clip
@@ -153,12 +153,12 @@ def run(
             "driver_id": input_data.driver_id,
         }
 
-        response = self.create_clip(credentials.api_key, payload)
+        response = await self.create_clip(credentials.api_key, payload)
         clip_id = response["id"]
 
         # Poll for clip status
         for _ in range(input_data.max_polling_attempts):
-            status_response = self.get_clip_status(credentials.api_key, clip_id)
+            status_response = await self.get_clip_status(credentials.api_key, clip_id)
             if status_response["status"] == "done":
                 yield "video_url", status_response["result_url"]
                 return
@@ -167,6 +167,6 @@ def run(
                     f"Clip creation failed: {status_response.get('error', 'Unknown error')}"
                 )
 
-            time.sleep(input_data.polling_interval)
+            await asyncio.sleep(input_data.polling_interval)
 
         raise TimeoutError("Clip creation timed out")
diff --git a/autogpt_platform/backend/backend/blocks/test/test_block.py b/autogpt_platform/backend/backend/blocks/test/test_block.py
new file mode 100644
index 000000000000..5876780639a0
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_block.py
@@ -0,0 +1,125 @@
+from typing import Type
+
+import pytest
+
+from backend.data.block import Block, get_blocks
+from backend.util.test import execute_block_test
+
+
+@pytest.mark.parametrize("block", get_blocks().values(), ids=lambda b: b.name)
+async def test_available_blocks(block: Type[Block]):
+    await execute_block_test(block())
+
+
+@pytest.mark.parametrize("block", get_blocks().values(), ids=lambda b: b.name)
+async def test_block_ids_valid(block: Type[Block]):
+    # add the tests here to check they are uuid4
+    import uuid
+
+    # Skip list for blocks with known invalid UUIDs
+    skip_blocks = {
+        "GetWeatherInformationBlock",
+        "CodeExecutionBlock",
+        "CountdownTimerBlock",
+        "TwitterGetListTweetsBlock",
+        "TwitterRemoveListMemberBlock",
+        "TwitterAddListMemberBlock",
+        "TwitterGetListMembersBlock",
+        "TwitterGetListMembershipsBlock",
+        "TwitterUnfollowListBlock",
+        "TwitterFollowListBlock",
+        "TwitterUnpinListBlock",
+        "TwitterPinListBlock",
+        "TwitterGetPinnedListsBlock",
+        "TwitterDeleteListBlock",
+        "TwitterUpdateListBlock",
+        "TwitterCreateListBlock",
+        "TwitterGetListBlock",
+        "TwitterGetOwnedListsBlock",
+        "TwitterGetSpacesBlock",
+        "TwitterGetSpaceByIdBlock",
+        "TwitterGetSpaceBuyersBlock",
+        "TwitterGetSpaceTweetsBlock",
+        "TwitterSearchSpacesBlock",
+        "TwitterGetUserMentionsBlock",
+        "TwitterGetHomeTimelineBlock",
+        "TwitterGetUserTweetsBlock",
+        "TwitterGetTweetBlock",
+        "TwitterGetTweetsBlock",
+        "TwitterGetQuoteTweetsBlock",
+        "TwitterLikeTweetBlock",
+        "TwitterGetLikingUsersBlock",
+        "TwitterGetLikedTweetsBlock",
+        "TwitterUnlikeTweetBlock",
+        "TwitterBookmarkTweetBlock",
+        "TwitterGetBookmarkedTweetsBlock",
+        "TwitterRemoveBookmarkTweetBlock",
+        "TwitterRetweetBlock",
+        "TwitterRemoveRetweetBlock",
+        "TwitterGetRetweetersBlock",
+        "TwitterHideReplyBlock",
+        "TwitterUnhideReplyBlock",
+        "TwitterPostTweetBlock",
+        "TwitterDeleteTweetBlock",
+        "TwitterSearchRecentTweetsBlock",
+        "TwitterUnfollowUserBlock",
+        "TwitterFollowUserBlock",
+        "TwitterGetFollowersBlock",
+        "TwitterGetFollowingBlock",
+        "TwitterUnmuteUserBlock",
+        "TwitterGetMutedUsersBlock",
+        "TwitterMuteUserBlock",
+        "TwitterGetBlockedUsersBlock",
+        "TwitterGetUserBlock",
+        "TwitterGetUsersBlock",
+        "TodoistCreateLabelBlock",
+        "TodoistListLabelsBlock",
+        "TodoistGetLabelBlock",
+        "TodoistUpdateLabelBlock",
+        "TodoistDeleteLabelBlock",
+        "TodoistGetSharedLabelsBlock",
+        "TodoistRenameSharedLabelsBlock",
+        "TodoistRemoveSharedLabelsBlock",
+        "TodoistCreateTaskBlock",
+        "TodoistGetTasksBlock",
+        "TodoistGetTaskBlock",
+        "TodoistUpdateTaskBlock",
+        "TodoistCloseTaskBlock",
+        "TodoistReopenTaskBlock",
+        "TodoistDeleteTaskBlock",
+        "TodoistListSectionsBlock",
+        "TodoistGetSectionBlock",
+        "TodoistDeleteSectionBlock",
+        "TodoistCreateProjectBlock",
+        "TodoistGetProjectBlock",
+        "TodoistUpdateProjectBlock",
+        "TodoistDeleteProjectBlock",
+        "TodoistListCollaboratorsBlock",
+        "TodoistGetCommentsBlock",
+        "TodoistGetCommentBlock",
+        "TodoistUpdateCommentBlock",
+        "TodoistDeleteCommentBlock",
+        "GithubListStargazersBlock",
+        "Slant3DSlicerBlock",
+    }
+
+    block_instance = block()
+
+    # Skip blocks with known invalid UUIDs
+    if block_instance.__class__.__name__ in skip_blocks:
+        pytest.skip(
+            f"Skipping UUID check for {block_instance.__class__.__name__} - known invalid UUID"
+        )
+
+    # Check that the ID is not empty
+    assert block_instance.id, f"Block {block.name} has empty ID"
+
+    # Check that the ID is a valid UUID4
+    try:
+        parsed_uuid = uuid.UUID(block_instance.id)
+        # Verify it's specifically UUID version 4
+        assert (
+            parsed_uuid.version == 4
+        ), f"Block {block.name} ID is UUID version {parsed_uuid.version}, expected version 4"
+    except ValueError:
+        pytest.fail(f"Block {block.name} has invalid UUID format: {block_instance.id}")
diff --git a/autogpt_platform/backend/backend/blocks/test/test_http.py b/autogpt_platform/backend/backend/blocks/test/test_http.py
new file mode 100644
index 000000000000..bdc30f3ecf3a
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_http.py
@@ -0,0 +1,492 @@
+"""Comprehensive tests for HTTP block with HostScopedCredentials functionality."""
+
+from typing import cast
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from pydantic import SecretStr
+
+from backend.blocks.http import (
+    HttpCredentials,
+    HttpMethod,
+    SendAuthenticatedWebRequestBlock,
+)
+from backend.data.model import HostScopedCredentials
+from backend.util.request import Response
+
+
+class TestHttpBlockWithHostScopedCredentials:
+    """Test suite for HTTP block integration with HostScopedCredentials."""
+
+    @pytest.fixture
+    def http_block(self):
+        """Create an HTTP block instance."""
+        return SendAuthenticatedWebRequestBlock()
+
+    @pytest.fixture
+    def mock_response(self):
+        """Mock a successful HTTP response."""
+        response = MagicMock(spec=Response)
+        response.status = 200
+        response.headers = {"content-type": "application/json"}
+        response.json.return_value = {"success": True, "data": "test"}
+        return response
+
+    @pytest.fixture
+    def exact_match_credentials(self):
+        """Create host-scoped credentials for exact domain matching."""
+        return HostScopedCredentials(
+            provider="http",
+            host="api.example.com",
+            headers={
+                "Authorization": SecretStr("Bearer exact-match-token"),
+                "X-API-Key": SecretStr("api-key-123"),
+            },
+            title="Exact Match API Credentials",
+        )
+
+    @pytest.fixture
+    def wildcard_credentials(self):
+        """Create host-scoped credentials with wildcard pattern."""
+        return HostScopedCredentials(
+            provider="http",
+            host="*.github.com",
+            headers={
+                "Authorization": SecretStr("token ghp_wildcard123"),
+            },
+            title="GitHub Wildcard Credentials",
+        )
+
+    @pytest.fixture
+    def non_matching_credentials(self):
+        """Create credentials that don't match test URLs."""
+        return HostScopedCredentials(
+            provider="http",
+            host="different.api.com",
+            headers={
+                "Authorization": SecretStr("Bearer non-matching-token"),
+            },
+            title="Non-matching Credentials",
+        )
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_http_block_with_exact_host_match(
+        self,
+        mock_requests_class,
+        http_block,
+        exact_match_credentials,
+        mock_response,
+    ):
+        """Test HTTP block with exact host matching credentials."""
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        # Prepare input data
+        input_data = SendAuthenticatedWebRequestBlock.Input(
+            url="https://api.example.com/data",
+            method=HttpMethod.GET,
+            headers={"User-Agent": "test-agent"},
+            credentials=cast(
+                HttpCredentials,
+                {
+                    "id": exact_match_credentials.id,
+                    "provider": "http",
+                    "type": "host_scoped",
+                    "title": exact_match_credentials.title,
+                },
+            ),
+        )
+
+        # Execute with credentials provided by execution manager
+        result = []
+        async for output_name, output_data in http_block.run(
+            input_data,
+            credentials=exact_match_credentials,
+            graph_exec_id="test-exec-id",
+            user_id="test-user-id",
+        ):
+            result.append((output_name, output_data))
+
+        # Verify request headers include both credential and user headers
+        mock_requests.request.assert_called_once()
+        call_args = mock_requests.request.call_args
+        expected_headers = {
+            "Authorization": "Bearer exact-match-token",
+            "X-API-Key": "api-key-123",
+            "User-Agent": "test-agent",
+        }
+        assert call_args.kwargs["headers"] == expected_headers
+
+        # Verify response handling
+        assert len(result) == 1
+        assert result[0][0] == "response"
+        assert result[0][1] == {"success": True, "data": "test"}
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_http_block_with_wildcard_host_match(
+        self,
+        mock_requests_class,
+        http_block,
+        wildcard_credentials,
+        mock_response,
+    ):
+        """Test HTTP block with wildcard host pattern matching."""
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        # Test with subdomain that should match *.github.com
+        input_data = SendAuthenticatedWebRequestBlock.Input(
+            url="https://api.github.com/user",
+            method=HttpMethod.GET,
+            headers={},
+            credentials=cast(
+                HttpCredentials,
+                {
+                    "id": wildcard_credentials.id,
+                    "provider": "http",
+                    "type": "host_scoped",
+                    "title": wildcard_credentials.title,
+                },
+            ),
+        )
+
+        # Execute with wildcard credentials
+        result = []
+        async for output_name, output_data in http_block.run(
+            input_data,
+            credentials=wildcard_credentials,
+            graph_exec_id="test-exec-id",
+            user_id="test-user-id",
+        ):
+            result.append((output_name, output_data))
+
+        # Verify wildcard matching works
+        mock_requests.request.assert_called_once()
+        call_args = mock_requests.request.call_args
+        expected_headers = {"Authorization": "token ghp_wildcard123"}
+        assert call_args.kwargs["headers"] == expected_headers
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_http_block_with_non_matching_credentials(
+        self,
+        mock_requests_class,
+        http_block,
+        non_matching_credentials,
+        mock_response,
+    ):
+        """Test HTTP block when credentials don't match the target URL."""
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        # Test with URL that doesn't match the credentials
+        input_data = SendAuthenticatedWebRequestBlock.Input(
+            url="https://api.example.com/data",
+            method=HttpMethod.GET,
+            headers={"User-Agent": "test-agent"},
+            credentials=cast(
+                HttpCredentials,
+                {
+                    "id": non_matching_credentials.id,
+                    "provider": "http",
+                    "type": "host_scoped",
+                    "title": non_matching_credentials.title,
+                },
+            ),
+        )
+
+        # Execute with non-matching credentials
+        result = []
+        async for output_name, output_data in http_block.run(
+            input_data,
+            credentials=non_matching_credentials,
+            graph_exec_id="test-exec-id",
+            user_id="test-user-id",
+        ):
+            result.append((output_name, output_data))
+
+        # Verify only user headers are included (no credential headers)
+        mock_requests.request.assert_called_once()
+        call_args = mock_requests.request.call_args
+        expected_headers = {"User-Agent": "test-agent"}
+        assert call_args.kwargs["headers"] == expected_headers
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_user_headers_override_credential_headers(
+        self,
+        mock_requests_class,
+        http_block,
+        exact_match_credentials,
+        mock_response,
+    ):
+        """Test that user-provided headers take precedence over credential headers."""
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        # Test with user header that conflicts with credential header
+        input_data = SendAuthenticatedWebRequestBlock.Input(
+            url="https://api.example.com/data",
+            method=HttpMethod.POST,
+            headers={
+                "Authorization": "Bearer user-override-token",  # Should override
+                "Content-Type": "application/json",  # Additional user header
+            },
+            credentials=cast(
+                HttpCredentials,
+                {
+                    "id": exact_match_credentials.id,
+                    "provider": "http",
+                    "type": "host_scoped",
+                    "title": exact_match_credentials.title,
+                },
+            ),
+        )
+
+        # Execute with conflicting headers
+        result = []
+        async for output_name, output_data in http_block.run(
+            input_data,
+            credentials=exact_match_credentials,
+            graph_exec_id="test-exec-id",
+            user_id="test-user-id",
+        ):
+            result.append((output_name, output_data))
+
+        # Verify user headers take precedence
+        mock_requests.request.assert_called_once()
+        call_args = mock_requests.request.call_args
+        expected_headers = {
+            "X-API-Key": "api-key-123",  # From credentials
+            "Authorization": "Bearer user-override-token",  # User override
+            "Content-Type": "application/json",  # User header
+        }
+        assert call_args.kwargs["headers"] == expected_headers
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_auto_discovered_credentials_flow(
+        self,
+        mock_requests_class,
+        http_block,
+        mock_response,
+    ):
+        """Test the auto-discovery flow where execution manager provides matching credentials."""
+        # Create auto-discovered credentials
+        auto_discovered_creds = HostScopedCredentials(
+            provider="http",
+            host="*.example.com",
+            headers={
+                "Authorization": SecretStr("Bearer auto-discovered-token"),
+            },
+            title="Auto-discovered Credentials",
+        )
+
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        # Test with empty credentials field (triggers auto-discovery)
+        input_data = SendAuthenticatedWebRequestBlock.Input(
+            url="https://api.example.com/data",
+            method=HttpMethod.GET,
+            headers={},
+            credentials=cast(
+                HttpCredentials,
+                {
+                    "id": "",  # Empty ID triggers auto-discovery in execution manager
+                    "provider": "http",
+                    "type": "host_scoped",
+                    "title": "",
+                },
+            ),
+        )
+
+        # Execute with auto-discovered credentials provided by execution manager
+        result = []
+        async for output_name, output_data in http_block.run(
+            input_data,
+            credentials=auto_discovered_creds,  # Execution manager found these
+            graph_exec_id="test-exec-id",
+            user_id="test-user-id",
+        ):
+            result.append((output_name, output_data))
+
+        # Verify auto-discovered credentials were applied
+        mock_requests.request.assert_called_once()
+        call_args = mock_requests.request.call_args
+        expected_headers = {"Authorization": "Bearer auto-discovered-token"}
+        assert call_args.kwargs["headers"] == expected_headers
+
+        # Verify response handling
+        assert len(result) == 1
+        assert result[0][0] == "response"
+        assert result[0][1] == {"success": True, "data": "test"}
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_multiple_header_credentials(
+        self,
+        mock_requests_class,
+        http_block,
+        mock_response,
+    ):
+        """Test credentials with multiple headers are all applied."""
+        # Create credentials with multiple headers
+        multi_header_creds = HostScopedCredentials(
+            provider="http",
+            host="api.example.com",
+            headers={
+                "Authorization": SecretStr("Bearer multi-token"),
+                "X-API-Key": SecretStr("api-key-456"),
+                "X-Client-ID": SecretStr("client-789"),
+                "X-Custom-Header": SecretStr("custom-value"),
+            },
+            title="Multi-Header Credentials",
+        )
+
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        # Test with credentials containing multiple headers
+        input_data = SendAuthenticatedWebRequestBlock.Input(
+            url="https://api.example.com/data",
+            method=HttpMethod.GET,
+            headers={"User-Agent": "test-agent"},
+            credentials=cast(
+                HttpCredentials,
+                {
+                    "id": multi_header_creds.id,
+                    "provider": "http",
+                    "type": "host_scoped",
+                    "title": multi_header_creds.title,
+                },
+            ),
+        )
+
+        # Execute with multi-header credentials
+        result = []
+        async for output_name, output_data in http_block.run(
+            input_data,
+            credentials=multi_header_creds,
+            graph_exec_id="test-exec-id",
+            user_id="test-user-id",
+        ):
+            result.append((output_name, output_data))
+
+        # Verify all headers are included
+        mock_requests.request.assert_called_once()
+        call_args = mock_requests.request.call_args
+        expected_headers = {
+            "Authorization": "Bearer multi-token",
+            "X-API-Key": "api-key-456",
+            "X-Client-ID": "client-789",
+            "X-Custom-Header": "custom-value",
+            "User-Agent": "test-agent",
+        }
+        assert call_args.kwargs["headers"] == expected_headers
+
+    @pytest.mark.asyncio
+    @patch("backend.blocks.http.Requests")
+    async def test_credentials_with_complex_url_patterns(
+        self,
+        mock_requests_class,
+        http_block,
+        mock_response,
+    ):
+        """Test credentials matching various URL patterns."""
+        # Test cases for different URL patterns
+        test_cases = [
+            {
+                "host_pattern": "api.example.com",
+                "test_url": "https://api.example.com/v1/users",
+                "should_match": True,
+            },
+            {
+                "host_pattern": "*.example.com",
+                "test_url": "https://api.example.com/v1/users",
+                "should_match": True,
+            },
+            {
+                "host_pattern": "*.example.com",
+                "test_url": "https://subdomain.example.com/data",
+                "should_match": True,
+            },
+            {
+                "host_pattern": "api.example.com",
+                "test_url": "https://api.different.com/data",
+                "should_match": False,
+            },
+        ]
+
+        # Setup mocks
+        mock_requests = AsyncMock()
+        mock_requests.request.return_value = mock_response
+        mock_requests_class.return_value = mock_requests
+
+        for case in test_cases:
+            # Reset mock for each test case
+            mock_requests.reset_mock()
+
+            # Create credentials for this test case
+            test_creds = HostScopedCredentials(
+                provider="http",
+                host=case["host_pattern"],
+                headers={
+                    "Authorization": SecretStr(f"Bearer {case['host_pattern']}-token"),
+                },
+                title=f"Credentials for {case['host_pattern']}",
+            )
+
+            input_data = SendAuthenticatedWebRequestBlock.Input(
+                url=case["test_url"],
+                method=HttpMethod.GET,
+                headers={"User-Agent": "test-agent"},
+                credentials=cast(
+                    HttpCredentials,
+                    {
+                        "id": test_creds.id,
+                        "provider": "http",
+                        "type": "host_scoped",
+                        "title": test_creds.title,
+                    },
+                ),
+            )
+
+            # Execute with test credentials
+            result = []
+            async for output_name, output_data in http_block.run(
+                input_data,
+                credentials=test_creds,
+                graph_exec_id="test-exec-id",
+                user_id="test-user-id",
+            ):
+                result.append((output_name, output_data))
+
+            # Verify headers based on whether pattern should match
+            mock_requests.request.assert_called_once()
+            call_args = mock_requests.request.call_args
+            headers = call_args.kwargs["headers"]
+
+            if case["should_match"]:
+                # Should include both user and credential headers
+                expected_auth = f"Bearer {case['host_pattern']}-token"
+                assert headers["Authorization"] == expected_auth
+                assert headers["User-Agent"] == "test-agent"
+            else:
+                # Should only include user headers
+                assert "Authorization" not in headers
+                assert headers["User-Agent"] == "test-agent"
diff --git a/autogpt_platform/backend/backend/blocks/test/test_llm.py b/autogpt_platform/backend/backend/blocks/test/test_llm.py
new file mode 100644
index 000000000000..f77251d754fb
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_llm.py
@@ -0,0 +1,492 @@
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from backend.data.model import NodeExecutionStats
+
+
+class TestLLMStatsTracking:
+    """Test that LLM blocks correctly track token usage statistics."""
+
+    @pytest.mark.asyncio
+    async def test_llm_call_returns_token_counts(self):
+        """Test that llm_call returns proper token counts in LLMResponse."""
+        import backend.blocks.llm as llm
+
+        # Mock the OpenAI client
+        mock_response = MagicMock()
+        mock_response.choices = [
+            MagicMock(message=MagicMock(content="Test response", tool_calls=None))
+        ]
+        mock_response.usage = MagicMock(prompt_tokens=10, completion_tokens=20)
+
+        # Test with mocked OpenAI response
+        with patch("openai.AsyncOpenAI") as mock_openai:
+            mock_client = AsyncMock()
+            mock_openai.return_value = mock_client
+            mock_client.chat.completions.create = AsyncMock(return_value=mock_response)
+
+            response = await llm.llm_call(
+                credentials=llm.TEST_CREDENTIALS,
+                llm_model=llm.LlmModel.GPT4O,
+                prompt=[{"role": "user", "content": "Hello"}],
+                json_format=False,
+                max_tokens=100,
+            )
+
+            assert isinstance(response, llm.LLMResponse)
+            assert response.prompt_tokens == 10
+            assert response.completion_tokens == 20
+            assert response.response == "Test response"
+
+    @pytest.mark.asyncio
+    async def test_ai_structured_response_block_tracks_stats(self):
+        """Test that AIStructuredResponseGeneratorBlock correctly tracks stats."""
+        import backend.blocks.llm as llm
+
+        block = llm.AIStructuredResponseGeneratorBlock()
+
+        # Mock the llm_call method
+        async def mock_llm_call(*args, **kwargs):
+            return llm.LLMResponse(
+                raw_response="",
+                prompt=[],
+                response='{"key1": "value1", "key2": "value2"}',
+                tool_calls=None,
+                prompt_tokens=15,
+                completion_tokens=25,
+                reasoning=None,
+            )
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Run the block
+        input_data = llm.AIStructuredResponseGeneratorBlock.Input(
+            prompt="Test prompt",
+            expected_format={"key1": "desc1", "key2": "desc2"},
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore  # type: ignore
+        )
+
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Check stats
+        assert block.execution_stats.input_token_count == 15
+        assert block.execution_stats.output_token_count == 25
+        assert block.execution_stats.llm_call_count == 1
+        assert block.execution_stats.llm_retry_count == 0
+
+        # Check output
+        assert "response" in outputs
+        assert outputs["response"] == {"key1": "value1", "key2": "value2"}
+
+    @pytest.mark.asyncio
+    async def test_ai_text_generator_block_tracks_stats(self):
+        """Test that AITextGeneratorBlock correctly tracks stats through delegation."""
+        import backend.blocks.llm as llm
+
+        block = llm.AITextGeneratorBlock()
+
+        # Mock the underlying structured response block
+        async def mock_llm_call(input_data, credentials):
+            # Simulate the structured block setting stats
+            block.execution_stats = NodeExecutionStats(
+                input_token_count=30,
+                output_token_count=40,
+                llm_call_count=1,
+            )
+            return "Generated text"  # AITextGeneratorBlock.llm_call returns a string
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Run the block
+        input_data = llm.AITextGeneratorBlock.Input(
+            prompt="Generate text",
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+        )
+
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Check stats
+        assert block.execution_stats.input_token_count == 30
+        assert block.execution_stats.output_token_count == 40
+        assert block.execution_stats.llm_call_count == 1
+
+        # Check output - AITextGeneratorBlock returns the response directly, not in a dict
+        assert outputs["response"] == "Generated text"
+
+    @pytest.mark.asyncio
+    async def test_stats_accumulation_with_retries(self):
+        """Test that stats correctly accumulate across retries."""
+        import backend.blocks.llm as llm
+
+        block = llm.AIStructuredResponseGeneratorBlock()
+
+        # Counter to track calls
+        call_count = 0
+
+        async def mock_llm_call(*args, **kwargs):
+            nonlocal call_count
+            call_count += 1
+
+            # First call returns invalid format
+            if call_count == 1:
+                return llm.LLMResponse(
+                    raw_response="",
+                    prompt=[],
+                    response='{"wrong": "format"}',
+                    tool_calls=None,
+                    prompt_tokens=10,
+                    completion_tokens=15,
+                    reasoning=None,
+                )
+            # Second call returns correct format
+            else:
+                return llm.LLMResponse(
+                    raw_response="",
+                    prompt=[],
+                    response='{"key1": "value1", "key2": "value2"}',
+                    tool_calls=None,
+                    prompt_tokens=20,
+                    completion_tokens=25,
+                    reasoning=None,
+                )
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Run the block with retry
+        input_data = llm.AIStructuredResponseGeneratorBlock.Input(
+            prompt="Test prompt",
+            expected_format={"key1": "desc1", "key2": "desc2"},
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+            retry=2,
+        )
+
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Check stats - should accumulate both calls
+        # For 2 attempts: attempt 1 (failed) + attempt 2 (success) = 2 total
+        # but llm_call_count is only set on success, so it shows 1 for the final successful attempt
+        assert block.execution_stats.input_token_count == 30  # 10 + 20
+        assert block.execution_stats.output_token_count == 40  # 15 + 25
+        assert block.execution_stats.llm_call_count == 2  # retry_count + 1 = 1 + 1 = 2
+        assert block.execution_stats.llm_retry_count == 1
+
+    @pytest.mark.asyncio
+    async def test_ai_text_summarizer_multiple_chunks(self):
+        """Test that AITextSummarizerBlock correctly accumulates stats across multiple chunks."""
+        import backend.blocks.llm as llm
+
+        block = llm.AITextSummarizerBlock()
+
+        # Track calls to simulate multiple chunks
+        call_count = 0
+
+        async def mock_llm_call(input_data, credentials):
+            nonlocal call_count
+            call_count += 1
+
+            # Create a mock block with stats to merge from
+            mock_structured_block = llm.AIStructuredResponseGeneratorBlock()
+            mock_structured_block.execution_stats = NodeExecutionStats(
+                input_token_count=25,
+                output_token_count=15,
+                llm_call_count=1,
+            )
+
+            # Simulate merge_llm_stats behavior
+            block.merge_llm_stats(mock_structured_block)
+
+            if "final_summary" in input_data.expected_format:
+                return {"final_summary": "Final combined summary"}
+            else:
+                return {"summary": f"Summary of chunk {call_count}"}
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Create long text that will be split into chunks
+        long_text = " ".join(["word"] * 1000)  # Moderate size to force ~2-3 chunks
+
+        input_data = llm.AITextSummarizerBlock.Input(
+            text=long_text,
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+            max_tokens=100,  # Small chunks
+            chunk_overlap=10,
+        )
+
+        # Run the block
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Block finished - now grab and assert stats
+        assert block.execution_stats is not None
+        assert call_count > 1  # Should have made multiple calls
+        assert block.execution_stats.llm_call_count > 0
+        assert block.execution_stats.input_token_count > 0
+        assert block.execution_stats.output_token_count > 0
+
+        # Check output
+        assert "summary" in outputs
+        assert outputs["summary"] == "Final combined summary"
+
+    @pytest.mark.asyncio
+    async def test_ai_text_summarizer_real_llm_call_stats(self):
+        """Test AITextSummarizer with real LLM call mocking to verify llm_call_count."""
+        from unittest.mock import AsyncMock, MagicMock, patch
+
+        import backend.blocks.llm as llm
+
+        block = llm.AITextSummarizerBlock()
+
+        # Mock the actual LLM call instead of the llm_call method
+        call_count = 0
+
+        async def mock_create(*args, **kwargs):
+            nonlocal call_count
+            call_count += 1
+
+            mock_response = MagicMock()
+            # Return different responses for chunk summary vs final summary
+            if call_count == 1:
+                mock_response.choices = [
+                    MagicMock(
+                        message=MagicMock(
+                            content='{"summary": "Test chunk summary"}', tool_calls=None
+                        )
+                    )
+                ]
+            else:
+                mock_response.choices = [
+                    MagicMock(
+                        message=MagicMock(
+                            content='{"final_summary": "Test final summary"}',
+                            tool_calls=None,
+                        )
+                    )
+                ]
+            mock_response.usage = MagicMock(prompt_tokens=50, completion_tokens=30)
+            return mock_response
+
+        with patch("openai.AsyncOpenAI") as mock_openai:
+            mock_client = AsyncMock()
+            mock_openai.return_value = mock_client
+            mock_client.chat.completions.create = mock_create
+
+            # Test with very short text (should only need 1 chunk + 1 final summary)
+            input_data = llm.AITextSummarizerBlock.Input(
+                text="This is a short text.",
+                model=llm.LlmModel.GPT4O,
+                credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+                max_tokens=1000,  # Large enough to avoid chunking
+            )
+
+            outputs = {}
+            async for output_name, output_data in block.run(
+                input_data, credentials=llm.TEST_CREDENTIALS
+            ):
+                outputs[output_name] = output_data
+
+            print(f"Actual calls made: {call_count}")
+            print(f"Block stats: {block.execution_stats}")
+            print(f"LLM call count: {block.execution_stats.llm_call_count}")
+
+            # Should have made 2 calls: 1 for chunk summary + 1 for final summary
+            assert block.execution_stats.llm_call_count >= 1
+            assert block.execution_stats.input_token_count > 0
+            assert block.execution_stats.output_token_count > 0
+
+    @pytest.mark.asyncio
+    async def test_ai_conversation_block_tracks_stats(self):
+        """Test that AIConversationBlock correctly tracks stats."""
+        import backend.blocks.llm as llm
+
+        block = llm.AIConversationBlock()
+
+        # Mock the llm_call method
+        async def mock_llm_call(input_data, credentials):
+            block.execution_stats = NodeExecutionStats(
+                input_token_count=100,
+                output_token_count=50,
+                llm_call_count=1,
+            )
+            return {"response": "AI response to conversation"}
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Run the block
+        input_data = llm.AIConversationBlock.Input(
+            messages=[
+                {"role": "user", "content": "Hello"},
+                {"role": "assistant", "content": "Hi there!"},
+                {"role": "user", "content": "How are you?"},
+            ],
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+        )
+
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Check stats
+        assert block.execution_stats.input_token_count == 100
+        assert block.execution_stats.output_token_count == 50
+        assert block.execution_stats.llm_call_count == 1
+
+        # Check output
+        assert outputs["response"] == {"response": "AI response to conversation"}
+
+    @pytest.mark.asyncio
+    async def test_ai_list_generator_with_retries(self):
+        """Test that AIListGeneratorBlock correctly tracks stats with retries."""
+        import backend.blocks.llm as llm
+
+        block = llm.AIListGeneratorBlock()
+
+        # Counter to track calls
+        call_count = 0
+
+        async def mock_llm_call(input_data, credentials):
+            nonlocal call_count
+            call_count += 1
+
+            # Update stats
+            if hasattr(block, "execution_stats") and block.execution_stats:
+                block.execution_stats.input_token_count += 40
+                block.execution_stats.output_token_count += 20
+                block.execution_stats.llm_call_count += 1
+            else:
+                block.execution_stats = NodeExecutionStats(
+                    input_token_count=40,
+                    output_token_count=20,
+                    llm_call_count=1,
+                )
+
+            if call_count == 1:
+                # First call returns invalid format
+                return {"response": "not a valid list"}
+            else:
+                # Second call returns valid list
+                return {"response": "['item1', 'item2', 'item3']"}
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Run the block
+        input_data = llm.AIListGeneratorBlock.Input(
+            focus="test items",
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+            max_retries=3,
+        )
+
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Check stats - should have 2 calls
+        assert call_count == 2
+        assert block.execution_stats.input_token_count == 80  # 40 * 2
+        assert block.execution_stats.output_token_count == 40  # 20 * 2
+        assert block.execution_stats.llm_call_count == 2
+
+        # Check output
+        assert outputs["generated_list"] == ["item1", "item2", "item3"]
+
+    @pytest.mark.asyncio
+    async def test_merge_llm_stats(self):
+        """Test the merge_llm_stats method correctly merges stats from another block."""
+        import backend.blocks.llm as llm
+
+        block1 = llm.AITextGeneratorBlock()
+        block2 = llm.AIStructuredResponseGeneratorBlock()
+
+        # Set stats on block2
+        block2.execution_stats = NodeExecutionStats(
+            input_token_count=100,
+            output_token_count=50,
+            llm_call_count=2,
+            llm_retry_count=1,
+        )
+        block2.prompt = [{"role": "user", "content": "Test"}]
+
+        # Merge stats from block2 into block1
+        block1.merge_llm_stats(block2)
+
+        # Check that stats were merged
+        assert block1.execution_stats.input_token_count == 100
+        assert block1.execution_stats.output_token_count == 50
+        assert block1.execution_stats.llm_call_count == 2
+        assert block1.execution_stats.llm_retry_count == 1
+        assert block1.prompt == [{"role": "user", "content": "Test"}]
+
+    @pytest.mark.asyncio
+    async def test_stats_initialization(self):
+        """Test that blocks properly initialize stats when not present."""
+        import backend.blocks.llm as llm
+
+        block = llm.AIStructuredResponseGeneratorBlock()
+
+        # Initially stats should be initialized with zeros
+        assert hasattr(block, "execution_stats")
+        assert block.execution_stats.llm_call_count == 0
+
+        # Mock llm_call
+        async def mock_llm_call(*args, **kwargs):
+            return llm.LLMResponse(
+                raw_response="",
+                prompt=[],
+                response='{"result": "test"}',
+                tool_calls=None,
+                prompt_tokens=10,
+                completion_tokens=20,
+                reasoning=None,
+            )
+
+        block.llm_call = mock_llm_call  # type: ignore
+
+        # Run the block
+        input_data = llm.AIStructuredResponseGeneratorBlock.Input(
+            prompt="Test",
+            expected_format={"result": "desc"},
+            model=llm.LlmModel.GPT4O,
+            credentials=llm.TEST_CREDENTIALS_INPUT,  # type: ignore
+        )
+
+        # Run the block
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data, credentials=llm.TEST_CREDENTIALS
+        ):
+            outputs[output_name] = output_data
+
+        # Block finished - now grab and assert stats
+        assert block.execution_stats is not None
+        assert block.execution_stats.input_token_count == 10
+        assert block.execution_stats.output_token_count == 20
+        assert block.execution_stats.llm_call_count == 1  # Should have exactly 1 call
+
+        # Check output
+        assert "response" in outputs
+        assert outputs["response"] == {"result": "test"}
diff --git a/autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker.py b/autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker.py
new file mode 100644
index 000000000000..c09eac09e165
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker.py
@@ -0,0 +1,252 @@
+import logging
+
+import pytest
+
+from backend.data.model import ProviderName, User
+from backend.server.model import CreateGraph
+from backend.server.rest_api import AgentServer
+from backend.usecases.sample import create_test_graph, create_test_user
+from backend.util.test import SpinTestServer, wait_execution
+
+logger = logging.getLogger(__name__)
+
+
+async def create_graph(s: SpinTestServer, g, u: User):
+    logger.info("Creating graph for user %s", u.id)
+    return await s.agent_server.test_create_graph(CreateGraph(graph=g), u.id)
+
+
+async def create_credentials(s: SpinTestServer, u: User):
+    import backend.blocks.llm as llm
+
+    provider = ProviderName.OPENAI
+    credentials = llm.TEST_CREDENTIALS
+    return await s.agent_server.test_create_credentials(u.id, provider, credentials)
+
+
+async def execute_graph(
+    agent_server: AgentServer,
+    test_graph,
+    test_user: User,
+    input_data: dict,
+    num_execs: int = 4,
+) -> str:
+    logger.info("Executing graph %s for user %s", test_graph.id, test_user.id)
+    logger.info("Input data: %s", input_data)
+
+    # --- Test adding new executions --- #
+    response = await agent_server.test_execute_graph(
+        user_id=test_user.id,
+        graph_id=test_graph.id,
+        graph_version=test_graph.version,
+        node_input=input_data,
+    )
+    graph_exec_id = response.graph_exec_id
+    logger.info("Created execution with ID: %s", graph_exec_id)
+
+    # Execution queue should be empty
+    logger.info("Waiting for execution to complete...")
+    result = await wait_execution(test_user.id, graph_exec_id, 30)
+    logger.info("Execution completed with %d results", len(result))
+    return graph_exec_id
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_graph_validation_with_tool_nodes_correct(server: SpinTestServer):
+    from backend.blocks.agent import AgentExecutorBlock
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+    from backend.data import graph
+
+    test_user = await create_test_user()
+    test_tool_graph = await create_graph(server, create_test_graph(), test_user)
+    creds = await create_credentials(server, test_user)
+
+    nodes = [
+        graph.Node(
+            block_id=SmartDecisionMakerBlock().id,
+            input_default={
+                "prompt": "Hello, World!",
+                "credentials": creds,
+            },
+        ),
+        graph.Node(
+            block_id=AgentExecutorBlock().id,
+            input_default={
+                "graph_id": test_tool_graph.id,
+                "graph_version": test_tool_graph.version,
+                "input_schema": test_tool_graph.input_schema,
+                "output_schema": test_tool_graph.output_schema,
+            },
+        ),
+    ]
+
+    links = [
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[1].id,
+            source_name="tools_^_sample_tool_input_1",
+            sink_name="input_1",
+        ),
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[1].id,
+            source_name="tools_^_sample_tool_input_2",
+            sink_name="input_2",
+        ),
+    ]
+
+    test_graph = graph.Graph(
+        name="TestGraph",
+        description="Test graph",
+        nodes=nodes,
+        links=links,
+    )
+    test_graph = await create_graph(server, test_graph, test_user)
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_smart_decision_maker_function_signature(server: SpinTestServer):
+    from backend.blocks.agent import AgentExecutorBlock
+    from backend.blocks.basic import StoreValueBlock
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+    from backend.data import graph
+
+    test_user = await create_test_user()
+    test_tool_graph = await create_graph(server, create_test_graph(), test_user)
+    creds = await create_credentials(server, test_user)
+
+    nodes = [
+        graph.Node(
+            block_id=SmartDecisionMakerBlock().id,
+            input_default={
+                "prompt": "Hello, World!",
+                "credentials": creds,
+            },
+        ),
+        graph.Node(
+            block_id=AgentExecutorBlock().id,
+            input_default={
+                "graph_id": test_tool_graph.id,
+                "graph_version": test_tool_graph.version,
+                "input_schema": test_tool_graph.input_schema,
+                "output_schema": test_tool_graph.output_schema,
+            },
+        ),
+        graph.Node(
+            block_id=StoreValueBlock().id,
+        ),
+    ]
+
+    links = [
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[1].id,
+            source_name="tools_^_sample_tool_input_1",
+            sink_name="input_1",
+        ),
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[1].id,
+            source_name="tools_^_sample_tool_input_2",
+            sink_name="input_2",
+        ),
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[2].id,
+            source_name="tools_^_store_value_input",
+            sink_name="input",
+        ),
+    ]
+
+    test_graph = graph.Graph(
+        name="TestGraph",
+        description="Test graph",
+        nodes=nodes,
+        links=links,
+    )
+    test_graph = await create_graph(server, test_graph, test_user)
+
+    tool_functions = await SmartDecisionMakerBlock._create_function_signature(
+        test_graph.nodes[0].id
+    )
+    assert tool_functions is not None, "Tool functions should not be None"
+
+    assert (
+        len(tool_functions) == 2
+    ), f"Expected 2 tool functions, got {len(tool_functions)}"
+
+    # Check the first tool function (testgraph)
+    assert tool_functions[0]["type"] == "function"
+    assert tool_functions[0]["function"]["name"] == "testgraph"
+    assert tool_functions[0]["function"]["description"] == "Test graph description"
+    assert "input_1" in tool_functions[0]["function"]["parameters"]["properties"]
+    assert "input_2" in tool_functions[0]["function"]["parameters"]["properties"]
+
+    # Check the second tool function (storevalueblock)
+    assert tool_functions[1]["type"] == "function"
+    assert tool_functions[1]["function"]["name"] == "storevalueblock"
+    assert "input" in tool_functions[1]["function"]["parameters"]["properties"]
+    assert (
+        tool_functions[1]["function"]["parameters"]["properties"]["input"][
+            "description"
+        ]
+        == "Trigger the block to produce the output. The value is only used when `data` is None."
+    )
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_tracks_llm_stats():
+    """Test that SmartDecisionMakerBlock correctly tracks LLM usage stats."""
+    from unittest.mock import MagicMock, patch
+
+    import backend.blocks.llm as llm_module
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+
+    block = SmartDecisionMakerBlock()
+
+    # Mock the llm.llm_call function to return controlled data
+    mock_response = MagicMock()
+    mock_response.response = "I need to think about this."
+    mock_response.tool_calls = None  # No tool calls for simplicity
+    mock_response.prompt_tokens = 50
+    mock_response.completion_tokens = 25
+    mock_response.reasoning = None
+    mock_response.raw_response = {
+        "role": "assistant",
+        "content": "I need to think about this.",
+    }
+
+    # Mock the _create_function_signature method to avoid database calls
+    with patch("backend.blocks.llm.llm_call", return_value=mock_response), patch.object(
+        SmartDecisionMakerBlock, "_create_function_signature", return_value=[]
+    ):
+
+        # Create test input
+        input_data = SmartDecisionMakerBlock.Input(
+            prompt="Should I continue with this task?",
+            model=llm_module.LlmModel.GPT4O,
+            credentials=llm_module.TEST_CREDENTIALS_INPUT,  # type: ignore
+        )
+
+        # Execute the block
+        outputs = {}
+        async for output_name, output_data in block.run(
+            input_data,
+            credentials=llm_module.TEST_CREDENTIALS,
+            graph_id="test-graph-id",
+            node_id="test-node-id",
+            graph_exec_id="test-exec-id",
+            node_exec_id="test-node-exec-id",
+            user_id="test-user-id",
+        ):
+            outputs[output_name] = output_data
+
+        # Verify stats tracking
+        assert block.execution_stats is not None
+        assert block.execution_stats.input_token_count == 50
+        assert block.execution_stats.output_token_count == 25
+        assert block.execution_stats.llm_call_count == 1
+
+        # Verify outputs
+        assert "finished" in outputs  # Should have finished since no tool calls
+        assert outputs["finished"] == "I need to think about this."
diff --git a/autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker_dict.py b/autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker_dict.py
new file mode 100644
index 000000000000..0b405b3fcd4e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker_dict.py
@@ -0,0 +1,130 @@
+from unittest.mock import Mock
+
+import pytest
+
+from backend.blocks.data_manipulation import AddToListBlock, CreateDictionaryBlock
+from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_handles_dynamic_dict_fields():
+    """Test Smart Decision Maker can handle dynamic dictionary fields (_#_) for any block"""
+
+    # Create a mock node for CreateDictionaryBlock
+    mock_node = Mock()
+    mock_node.block = CreateDictionaryBlock()
+    mock_node.block_id = CreateDictionaryBlock().id
+    mock_node.input_default = {}
+
+    # Create mock links with dynamic dictionary fields
+    mock_links = [
+        Mock(
+            source_name="tools_^_create_dict_~_name",
+            sink_name="values_#_name",  # Dynamic dict field
+            sink_id="dict_node_id",
+            source_id="smart_decision_node_id",
+        ),
+        Mock(
+            source_name="tools_^_create_dict_~_age",
+            sink_name="values_#_age",  # Dynamic dict field
+            sink_id="dict_node_id",
+            source_id="smart_decision_node_id",
+        ),
+        Mock(
+            source_name="tools_^_create_dict_~_city",
+            sink_name="values_#_city",  # Dynamic dict field
+            sink_id="dict_node_id",
+            source_id="smart_decision_node_id",
+        ),
+    ]
+
+    # Generate function signature
+    signature = await SmartDecisionMakerBlock._create_block_function_signature(
+        mock_node, mock_links  # type: ignore
+    )
+
+    # Verify the signature was created successfully
+    assert signature["type"] == "function"
+    assert "parameters" in signature["function"]
+    assert "properties" in signature["function"]["parameters"]
+
+    # Check that dynamic fields are handled
+    properties = signature["function"]["parameters"]["properties"]
+    assert len(properties) == 3  # Should have all three fields
+
+    # Each dynamic field should have proper schema
+    for prop_value in properties.values():
+        assert "type" in prop_value
+        assert prop_value["type"] == "string"  # Dynamic fields get string type
+        assert "description" in prop_value
+        assert "Dynamic value for" in prop_value["description"]
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_handles_dynamic_list_fields():
+    """Test Smart Decision Maker can handle dynamic list fields (_$_) for any block"""
+
+    # Create a mock node for AddToListBlock
+    mock_node = Mock()
+    mock_node.block = AddToListBlock()
+    mock_node.block_id = AddToListBlock().id
+    mock_node.input_default = {}
+
+    # Create mock links with dynamic list fields
+    mock_links = [
+        Mock(
+            source_name="tools_^_add_to_list_~_0",
+            sink_name="entries_$_0",  # Dynamic list field
+            sink_id="list_node_id",
+            source_id="smart_decision_node_id",
+        ),
+        Mock(
+            source_name="tools_^_add_to_list_~_1",
+            sink_name="entries_$_1",  # Dynamic list field
+            sink_id="list_node_id",
+            source_id="smart_decision_node_id",
+        ),
+    ]
+
+    # Generate function signature
+    signature = await SmartDecisionMakerBlock._create_block_function_signature(
+        mock_node, mock_links  # type: ignore
+    )
+
+    # Verify dynamic list fields are handled properly
+    assert signature["type"] == "function"
+    properties = signature["function"]["parameters"]["properties"]
+    assert len(properties) == 2  # Should have both list items
+
+    # Each dynamic field should have proper schema
+    for prop_value in properties.values():
+        assert prop_value["type"] == "string"
+        assert "Dynamic value for" in prop_value["description"]
+
+
+@pytest.mark.asyncio
+async def test_create_dict_block_with_dynamic_values():
+    """Test CreateDictionaryBlock processes dynamic values correctly"""
+
+    block = CreateDictionaryBlock()
+
+    # Simulate what happens when executor merges dynamic fields
+    # The executor merges values_#_* fields into the values dict
+    input_data = block.input_schema(
+        values={
+            "existing": "value",
+            "name": "Alice",  # This would come from values_#_name
+            "age": 25,  # This would come from values_#_age
+        }
+    )
+
+    # Run the block
+    result = {}
+    async for output_name, output_value in block.run(input_data):
+        result[output_name] = output_value
+
+    # Check the result
+    assert "dictionary" in result
+    assert result["dictionary"]["existing"] == "value"
+    assert result["dictionary"]["name"] == "Alice"
+    assert result["dictionary"]["age"] == 25
diff --git a/autogpt_platform/backend/backend/blocks/test/test_store_operations.py b/autogpt_platform/backend/backend/blocks/test/test_store_operations.py
new file mode 100644
index 000000000000..088d0d60e582
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_store_operations.py
@@ -0,0 +1,155 @@
+from unittest.mock import MagicMock
+
+import pytest
+
+from backend.blocks.system.library_operations import (
+    AddToLibraryFromStoreBlock,
+    LibraryAgent,
+)
+from backend.blocks.system.store_operations import (
+    GetStoreAgentDetailsBlock,
+    SearchAgentsResponse,
+    SearchStoreAgentsBlock,
+    StoreAgentDetails,
+    StoreAgentDict,
+)
+
+
+@pytest.mark.asyncio
+async def test_add_to_library_from_store_block_success(mocker):
+    """Test successful addition of agent from store to library."""
+    block = AddToLibraryFromStoreBlock()
+
+    # Mock the library agent response
+    mock_library_agent = MagicMock()
+    mock_library_agent.id = "lib-agent-123"
+    mock_library_agent.graph_id = "graph-456"
+    mock_library_agent.graph_version = 1
+    mock_library_agent.name = "Test Agent"
+
+    mocker.patch.object(
+        block,
+        "_add_to_library",
+        return_value=LibraryAgent(
+            library_agent_id="lib-agent-123",
+            agent_id="graph-456",
+            agent_version=1,
+            agent_name="Test Agent",
+        ),
+    )
+
+    input_data = block.Input(
+        store_listing_version_id="store-listing-v1", agent_name="Custom Agent Name"
+    )
+
+    outputs = {}
+    async for name, value in block.run(input_data, user_id="test-user"):
+        outputs[name] = value
+
+    assert outputs["success"] is True
+    assert outputs["library_agent_id"] == "lib-agent-123"
+    assert outputs["agent_id"] == "graph-456"
+    assert outputs["agent_version"] == 1
+    assert outputs["agent_name"] == "Test Agent"
+    assert outputs["message"] == "Agent successfully added to library"
+
+
+@pytest.mark.asyncio
+async def test_get_store_agent_details_block_success(mocker):
+    """Test successful retrieval of store agent details."""
+    block = GetStoreAgentDetailsBlock()
+
+    mocker.patch.object(
+        block,
+        "_get_agent_details",
+        return_value=StoreAgentDetails(
+            found=True,
+            store_listing_version_id="version-123",
+            agent_name="Test Agent",
+            description="A test agent for testing",
+            creator="Test Creator",
+            categories=["productivity", "automation"],
+            runs=100,
+            rating=4.5,
+        ),
+    )
+
+    input_data = block.Input(creator="Test Creator", slug="test-slug")
+    outputs = {}
+    async for name, value in block.run(input_data):
+        outputs[name] = value
+
+    assert outputs["found"] is True
+    assert outputs["store_listing_version_id"] == "version-123"
+    assert outputs["agent_name"] == "Test Agent"
+    assert outputs["description"] == "A test agent for testing"
+    assert outputs["creator"] == "Test Creator"
+    assert outputs["categories"] == ["productivity", "automation"]
+    assert outputs["runs"] == 100
+    assert outputs["rating"] == 4.5
+
+
+@pytest.mark.asyncio
+async def test_search_store_agents_block(mocker):
+    """Test searching for store agents."""
+    block = SearchStoreAgentsBlock()
+
+    mocker.patch.object(
+        block,
+        "_search_agents",
+        return_value=SearchAgentsResponse(
+            agents=[
+                StoreAgentDict(
+                    slug="creator1/agent1",
+                    name="Agent One",
+                    description="First test agent",
+                    creator="Creator 1",
+                    rating=4.8,
+                    runs=500,
+                ),
+                StoreAgentDict(
+                    slug="creator2/agent2",
+                    name="Agent Two",
+                    description="Second test agent",
+                    creator="Creator 2",
+                    rating=4.2,
+                    runs=200,
+                ),
+            ],
+            total_count=2,
+        ),
+    )
+
+    input_data = block.Input(
+        query="test", category="productivity", sort_by="rating", limit=10
+    )
+
+    outputs = {}
+    async for name, value in block.run(input_data):
+        outputs[name] = value
+
+    assert len(outputs["agents"]) == 2
+    assert outputs["total_count"] == 2
+    assert outputs["agents"][0]["name"] == "Agent One"
+    assert outputs["agents"][0]["rating"] == 4.8
+
+
+@pytest.mark.asyncio
+async def test_search_store_agents_block_empty_results(mocker):
+    """Test searching with no results."""
+    block = SearchStoreAgentsBlock()
+
+    mocker.patch.object(
+        block,
+        "_search_agents",
+        return_value=SearchAgentsResponse(agents=[], total_count=0),
+    )
+
+    input_data = block.Input(query="nonexistent", limit=10)
+
+    outputs = {}
+    async for name, value in block.run(input_data):
+        outputs[name] = value
+
+    assert outputs["agents"] == []
+    assert outputs["total_count"] == 0
diff --git a/autogpt_platform/backend/backend/blocks/text.py b/autogpt_platform/backend/backend/blocks/text.py
index d1e59cb83163..fc586430fc03 100644
--- a/autogpt_platform/backend/backend/blocks/text.py
+++ b/autogpt_platform/backend/backend/blocks/text.py
@@ -1,9 +1,12 @@
 import re
+from pathlib import Path
 from typing import Any
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
 from backend.util import json, text
+from backend.util.file import get_exec_file_path, store_media_file
+from backend.util.type import MediaFileType
 
 formatter = text.TextFormatter()
 
@@ -43,7 +46,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         output = input_data.data or input_data.text
         flags = 0
         if not input_data.case_sensitive:
@@ -76,6 +79,8 @@ class Input(BlockSchema):
     class Output(BlockSchema):
         positive: str = SchemaField(description="Extracted text")
         negative: str = SchemaField(description="Original text")
+        matched_results: list[str] = SchemaField(description="List of matched results")
+        matched_count: int = SchemaField(description="Number of matched results")
 
     def __init__(self):
         super().__init__(
@@ -103,17 +108,35 @@ def __init__(self):
                 },
             ],
             test_output=[
+                # Test case 1
                 ("positive", "World!"),
+                ("matched_results", ["World!"]),
+                ("matched_count", 1),
+                # Test case 2
                 ("positive", "Hello, World!"),
+                ("matched_results", ["Hello, World!"]),
+                ("matched_count", 1),
+                # Test case 3
                 ("negative", "Hello, World!"),
+                ("matched_results", []),
+                ("matched_count", 0),
+                # Test case 4
                 ("positive", "Hello,"),
+                ("matched_results", ["Hello,"]),
+                ("matched_count", 1),
+                # Test case 5
                 ("positive", "World!!"),
+                ("matched_results", ["World!!"]),
+                ("matched_count", 1),
+                # Test case 6
                 ("positive", "World!!"),
                 ("positive", "Earth!!"),
+                ("matched_results", ["World!!", "Earth!!"]),
+                ("matched_count", 2),
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         flags = 0
         if not input_data.case_sensitive:
             flags = flags | re.IGNORECASE
@@ -130,21 +153,24 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
             for match in re.finditer(input_data.pattern, txt, flags)
             if input_data.group <= len(match.groups())
         ]
+        if not input_data.find_all:
+            matches = matches[:1]
         for match in matches:
             yield "positive", match
-            if not input_data.find_all:
-                return
         if not matches:
             yield "negative", input_data.text
 
+        yield "matched_results", matches
+        yield "matched_count", len(matches)
+
 
 class FillTextTemplateBlock(Block):
     class Input(BlockSchema):
         values: dict[str, Any] = SchemaField(
-            description="Values (dict) to be used in format"
+            description="Values (dict) to be used in format. These values can be used by putting them in double curly braces in the format template. e.g. {{value_name}}.",
         )
         format: str = SchemaField(
-            description="Template to format the text using `values`"
+            description="Template to format the text using `values`. Use Jinja2 syntax."
         )
 
     class Output(BlockSchema):
@@ -160,7 +186,7 @@ def __init__(self):
             test_input=[
                 {
                     "values": {"name": "Alice", "hello": "Hello", "world": "World!"},
-                    "format": "{hello}, {world} {{name}}",
+                    "format": "{{hello}}, {{ world }} {{name}}",
                 },
                 {
                     "values": {"list": ["Hello", " World!"]},
@@ -178,7 +204,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         yield "output", formatter.format_string(input_data.format, input_data.values)
 
 
@@ -209,6 +235,200 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         combined_text = input_data.delimiter.join(input_data.input)
         yield "output", combined_text
+
+
+class TextSplitBlock(Block):
+    class Input(BlockSchema):
+        text: str = SchemaField(description="The text to split.")
+        delimiter: str = SchemaField(description="The delimiter to split the text by.")
+        strip: bool = SchemaField(
+            description="Whether to strip the text.", default=True
+        )
+
+    class Output(BlockSchema):
+        texts: list[str] = SchemaField(
+            description="The text split into a list of strings."
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="d5ea33c8-a575-477a-b42f-2fe3be5055ec",
+            description="This block is used to split a text into a list of strings.",
+            categories={BlockCategory.TEXT},
+            input_schema=TextSplitBlock.Input,
+            output_schema=TextSplitBlock.Output,
+            test_input=[
+                {"text": "Hello, World!", "delimiter": ","},
+                {"text": "Hello, World!", "delimiter": ",", "strip": False},
+            ],
+            test_output=[
+                ("texts", ["Hello", "World!"]),
+                ("texts", ["Hello", " World!"]),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        if len(input_data.text) == 0:
+            yield "texts", []
+        else:
+            texts = input_data.text.split(input_data.delimiter)
+            if input_data.strip:
+                texts = [text.strip() for text in texts]
+            yield "texts", texts
+
+
+class TextReplaceBlock(Block):
+    class Input(BlockSchema):
+        text: str = SchemaField(description="The text to replace.")
+        old: str = SchemaField(description="The old text to replace.")
+        new: str = SchemaField(description="The new text to replace with.")
+
+    class Output(BlockSchema):
+        output: str = SchemaField(description="The text with the replaced text.")
+
+    def __init__(self):
+        super().__init__(
+            id="7e7c87ab-3469-4bcc-9abe-67705091b713",
+            description="This block is used to replace a text with a new text.",
+            categories={BlockCategory.TEXT},
+            input_schema=TextReplaceBlock.Input,
+            output_schema=TextReplaceBlock.Output,
+            test_input=[
+                {"text": "Hello, World!", "old": "Hello", "new": "Hi"},
+            ],
+            test_output=[
+                ("output", "Hi, World!"),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        yield "output", input_data.text.replace(input_data.old, input_data.new)
+
+
+class FileReadBlock(Block):
+    class Input(BlockSchema):
+        file_input: MediaFileType = SchemaField(
+            description="The file to read from (URL, data URI, or local path)"
+        )
+        delimiter: str = SchemaField(
+            description="Delimiter to split the content into rows/chunks (e.g., '\\n' for lines)",
+            default="",
+            advanced=True,
+        )
+        size_limit: int = SchemaField(
+            description="Maximum size in bytes per chunk to yield (0 for no limit)",
+            default=0,
+            advanced=True,
+        )
+        row_limit: int = SchemaField(
+            description="Maximum number of rows to process (0 for no limit, requires delimiter)",
+            default=0,
+            advanced=True,
+        )
+        skip_size: int = SchemaField(
+            description="Number of characters to skip from the beginning of the file",
+            default=0,
+            advanced=True,
+        )
+        skip_rows: int = SchemaField(
+            description="Number of rows to skip from the beginning (requires delimiter)",
+            default=0,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        content: str = SchemaField(
+            description="File content, yielded as individual chunks when delimiter or size limits are applied"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="3735a31f-7e18-4aca-9e90-08a7120674bc",
+            input_schema=FileReadBlock.Input,
+            output_schema=FileReadBlock.Output,
+            description="Reads a file and returns its content as a string, with optional chunking by delimiter and size limits",
+            categories={BlockCategory.TEXT, BlockCategory.DATA},
+            test_input={
+                "file_input": "data:text/plain;base64,SGVsbG8gV29ybGQ=",
+            },
+            test_output=[
+                ("content", "Hello World"),
+            ],
+        )
+
+    async def run(
+        self, input_data: Input, *, graph_exec_id: str, user_id: str, **_kwargs
+    ) -> BlockOutput:
+        # Store the media file properly (handles URLs, data URIs, etc.)
+        stored_file_path = await store_media_file(
+            user_id=user_id,
+            graph_exec_id=graph_exec_id,
+            file=input_data.file_input,
+            return_content=False,
+        )
+
+        # Get full file path
+        file_path = get_exec_file_path(graph_exec_id, stored_file_path)
+
+        if not Path(file_path).exists():
+            raise ValueError(f"File does not exist: {file_path}")
+
+        # Read file content
+        try:
+            with open(file_path, "r", encoding="utf-8") as file:
+                content = file.read()
+        except UnicodeDecodeError:
+            # Try with different encodings
+            try:
+                with open(file_path, "r", encoding="latin-1") as file:
+                    content = file.read()
+            except Exception as e:
+                raise ValueError(f"Unable to read file: {e}")
+
+        # Apply skip_size (character-level skip)
+        if input_data.skip_size > 0:
+            content = content[input_data.skip_size :]
+
+        # Split content into items (by delimiter or treat as single item)
+        items = (
+            content.split(input_data.delimiter) if input_data.delimiter else [content]
+        )
+
+        # Apply skip_rows (item-level skip)
+        if input_data.skip_rows > 0:
+            items = items[input_data.skip_rows :]
+
+        # Apply row_limit (item-level limit)
+        if input_data.row_limit > 0:
+            items = items[: input_data.row_limit]
+
+        # Process each item and create chunks
+        def create_chunks(text, size_limit):
+            """Create chunks from text based on size_limit"""
+            if size_limit <= 0:
+                return [text] if text else []
+
+            chunks = []
+            for i in range(0, len(text), size_limit):
+                chunk = text[i : i + size_limit]
+                if chunk:  # Only add non-empty chunks
+                    chunks.append(chunk)
+            return chunks
+
+        # Process items and yield as content chunks
+        if items:
+            full_content = (
+                input_data.delimiter.join(items)
+                if input_data.delimiter
+                else "".join(items)
+            )
+
+            # Create chunks of the full content based on size_limit
+            content_chunks = create_chunks(full_content, input_data.size_limit)
+            for chunk in content_chunks:
+                yield "content", chunk
+        else:
+            yield "content", ""
diff --git a/autogpt_platform/backend/backend/blocks/text_to_speech_block.py b/autogpt_platform/backend/backend/blocks/text_to_speech_block.py
index dc9e0bf26e68..f0b7c107de1c 100644
--- a/autogpt_platform/backend/backend/blocks/text_to_speech_block.py
+++ b/autogpt_platform/backend/backend/blocks/text_to_speech_block.py
@@ -10,7 +10,7 @@
     SchemaField,
 )
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 TEST_CREDENTIALS = APIKeyCredentials(
     id="01234567-89ab-cdef-0123-456789abcdef",
@@ -53,7 +53,7 @@ def __init__(self):
         super().__init__(
             id="4ff1ff6d-cc40-4caa-ae69-011daa20c378",
             description="Converts text to speech using the Unreal Speech API",
-            categories={BlockCategory.AI, BlockCategory.TEXT},
+            categories={BlockCategory.AI, BlockCategory.TEXT, BlockCategory.MULTIMEDIA},
             input_schema=UnrealTextToSpeechBlock.Input,
             output_schema=UnrealTextToSpeechBlock.Output,
             test_input={
@@ -71,7 +71,7 @@ def __init__(self):
         )
 
     @staticmethod
-    def call_unreal_speech_api(
+    async def call_unreal_speech_api(
         api_key: SecretStr, text: str, voice_id: str
     ) -> dict[str, Any]:
         url = "https://api.v7.unrealspeech.com/speech"
@@ -88,13 +88,13 @@ def call_unreal_speech_api(
             "TimestampType": "sentence",
         }
 
-        response = requests.post(url, headers=headers, json=data)
+        response = await Requests().post(url, headers=headers, json=data)
         return response.json()
 
-    def run(
+    async def run(
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
-        api_response = self.call_unreal_speech_api(
+        api_response = await self.call_unreal_speech_api(
             credentials.api_key,
             input_data.text,
             input_data.voice_id,
diff --git a/autogpt_platform/backend/backend/blocks/time_blocks.py b/autogpt_platform/backend/backend/blocks/time_blocks.py
index 4b060aea5cfc..df5c34af5c80 100644
--- a/autogpt_platform/backend/backend/blocks/time_blocks.py
+++ b/autogpt_platform/backend/backend/blocks/time_blocks.py
@@ -1,18 +1,144 @@
+import asyncio
+import logging
 import time
 from datetime import datetime, timedelta
-from typing import Any, Union
+from typing import Any, Literal, Union
+from zoneinfo import ZoneInfo
+
+from pydantic import BaseModel
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.execution import UserContext
 from backend.data.model import SchemaField
 
+# Shared timezone literal type for all time/date blocks
+TimezoneLiteral = Literal[
+    "UTC",  # UTC±00:00
+    "Pacific/Honolulu",  # UTC-10:00
+    "America/Anchorage",  # UTC-09:00 (Alaska)
+    "America/Los_Angeles",  # UTC-08:00 (Pacific)
+    "America/Denver",  # UTC-07:00 (Mountain)
+    "America/Chicago",  # UTC-06:00 (Central)
+    "America/New_York",  # UTC-05:00 (Eastern)
+    "America/Caracas",  # UTC-04:00
+    "America/Sao_Paulo",  # UTC-03:00
+    "America/St_Johns",  # UTC-02:30 (Newfoundland)
+    "Atlantic/South_Georgia",  # UTC-02:00
+    "Atlantic/Azores",  # UTC-01:00
+    "Europe/London",  # UTC+00:00 (GMT/BST)
+    "Europe/Paris",  # UTC+01:00 (CET)
+    "Europe/Athens",  # UTC+02:00 (EET)
+    "Europe/Moscow",  # UTC+03:00
+    "Asia/Tehran",  # UTC+03:30 (Iran)
+    "Asia/Dubai",  # UTC+04:00
+    "Asia/Kabul",  # UTC+04:30 (Afghanistan)
+    "Asia/Karachi",  # UTC+05:00 (Pakistan)
+    "Asia/Kolkata",  # UTC+05:30 (India)
+    "Asia/Kathmandu",  # UTC+05:45 (Nepal)
+    "Asia/Dhaka",  # UTC+06:00 (Bangladesh)
+    "Asia/Yangon",  # UTC+06:30 (Myanmar)
+    "Asia/Bangkok",  # UTC+07:00
+    "Asia/Shanghai",  # UTC+08:00 (China)
+    "Australia/Eucla",  # UTC+08:45
+    "Asia/Tokyo",  # UTC+09:00 (Japan)
+    "Australia/Adelaide",  # UTC+09:30
+    "Australia/Sydney",  # UTC+10:00
+    "Australia/Lord_Howe",  # UTC+10:30
+    "Pacific/Noumea",  # UTC+11:00
+    "Pacific/Auckland",  # UTC+12:00 (New Zealand)
+    "Pacific/Chatham",  # UTC+12:45
+    "Pacific/Tongatapu",  # UTC+13:00
+    "Pacific/Kiritimati",  # UTC+14:00
+    "Etc/GMT-12",  # UTC+12:00
+    "Etc/GMT+12",  # UTC-12:00
+]
+
+logger = logging.getLogger(__name__)
+
+
+def _get_timezone(
+    format_type: Any,  # Any format type with timezone and use_user_timezone attributes
+    user_timezone: str | None,
+) -> ZoneInfo:
+    """
+    Determine which timezone to use based on format settings and user context.
+
+    Args:
+        format_type: The format configuration containing timezone settings
+        user_timezone: The user's timezone from context
+
+    Returns:
+        ZoneInfo object for the determined timezone
+    """
+    if format_type.use_user_timezone and user_timezone:
+        tz = ZoneInfo(user_timezone)
+        logger.debug(f"Using user timezone: {user_timezone}")
+    else:
+        tz = ZoneInfo(format_type.timezone)
+        logger.debug(f"Using specified timezone: {format_type.timezone}")
+    return tz
+
+
+def _format_datetime_iso8601(dt: datetime, include_microseconds: bool = False) -> str:
+    """
+    Format a datetime object to ISO8601 string.
+
+    Args:
+        dt: The datetime object to format
+        include_microseconds: Whether to include microseconds in the output
+
+    Returns:
+        ISO8601 formatted string
+    """
+    if include_microseconds:
+        return dt.isoformat()
+    else:
+        return dt.isoformat(timespec="seconds")
+
+
+# BACKWARDS COMPATIBILITY NOTE:
+# The timezone field is kept at the format level (not block level) for backwards compatibility.
+# Existing graphs have timezone saved within format_type, moving it would break them.
+#
+# The use_user_timezone flag was added to allow using the user's profile timezone.
+# Default is False to maintain backwards compatibility - existing graphs will continue
+# using their specified timezone.
+#
+# KNOWN ISSUE: If a user switches between format types (strftime <-> iso8601),
+# the timezone setting doesn't carry over. This is a UX issue but fixing it would
+# require either:
+#   1. Moving timezone to block level (breaking change, needs migration)
+#   2. Complex state management to sync timezone across format types
+#
+# Future migration path: When we do a major version bump, consider moving timezone
+# to the block Input level for better UX.
+
+
+class TimeStrftimeFormat(BaseModel):
+    discriminator: Literal["strftime"]
+    format: str = "%H:%M:%S"
+    timezone: TimezoneLiteral = "UTC"
+    # When True, overrides timezone with user's profile timezone
+    use_user_timezone: bool = False
+
+
+class TimeISO8601Format(BaseModel):
+    discriminator: Literal["iso8601"]
+    timezone: TimezoneLiteral = "UTC"
+    # When True, overrides timezone with user's profile timezone
+    use_user_timezone: bool = False
+    include_microseconds: bool = False
+
 
 class GetCurrentTimeBlock(Block):
     class Input(BlockSchema):
         trigger: str = SchemaField(
             description="Trigger any data to output the current time"
         )
-        format: str = SchemaField(
-            description="Format of the time to output", default="%H:%M:%S"
+        format_type: Union[TimeStrftimeFormat, TimeISO8601Format] = SchemaField(
+            discriminator="discriminator",
+            description="Format type for time output (strftime with custom format or ISO 8601)",
+            default=TimeStrftimeFormat(discriminator="strftime"),
         )
 
     class Output(BlockSchema):
@@ -29,19 +155,71 @@ def __init__(self):
             output_schema=GetCurrentTimeBlock.Output,
             test_input=[
                 {"trigger": "Hello"},
-                {"trigger": "Hello", "format": "%H:%M"},
+                {
+                    "trigger": "Hello",
+                    "format_type": {
+                        "discriminator": "strftime",
+                        "format": "%H:%M",
+                    },
+                },
+                {
+                    "trigger": "Hello",
+                    "format_type": {
+                        "discriminator": "iso8601",
+                        "timezone": "UTC",
+                        "include_microseconds": False,
+                    },
+                },
             ],
             test_output=[
                 ("time", lambda _: time.strftime("%H:%M:%S")),
                 ("time", lambda _: time.strftime("%H:%M")),
+                (
+                    "time",
+                    lambda t: "T" in t and ("+" in t or "Z" in t),
+                ),  # Check for ISO format with timezone
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        current_time = time.strftime(input_data.format)
+    async def run(
+        self, input_data: Input, *, user_context: UserContext, **kwargs
+    ) -> BlockOutput:
+        # Extract timezone from user_context (always present)
+        effective_timezone = user_context.timezone
+
+        # Get the appropriate timezone
+        tz = _get_timezone(input_data.format_type, effective_timezone)
+        dt = datetime.now(tz=tz)
+
+        if isinstance(input_data.format_type, TimeISO8601Format):
+            # Get the full ISO format and extract just the time portion with timezone
+            full_iso = _format_datetime_iso8601(
+                dt, input_data.format_type.include_microseconds
+            )
+            # Extract time portion (everything after 'T')
+            current_time = full_iso.split("T")[1] if "T" in full_iso else full_iso
+            current_time = f"T{current_time}"  # Add T prefix for ISO 8601 time format
+        else:  # TimeStrftimeFormat
+            current_time = dt.strftime(input_data.format_type.format)
+
         yield "time", current_time
 
 
+class DateStrftimeFormat(BaseModel):
+    discriminator: Literal["strftime"]
+    format: str = "%Y-%m-%d"
+    timezone: TimezoneLiteral = "UTC"
+    # When True, overrides timezone with user's profile timezone
+    use_user_timezone: bool = False
+
+
+class DateISO8601Format(BaseModel):
+    discriminator: Literal["iso8601"]
+    timezone: TimezoneLiteral = "UTC"
+    # When True, overrides timezone with user's profile timezone
+    use_user_timezone: bool = False
+
+
 class GetCurrentDateBlock(Block):
     class Input(BlockSchema):
         trigger: str = SchemaField(
@@ -52,8 +230,10 @@ class Input(BlockSchema):
             description="Offset in days from the current date",
             default=0,
         )
-        format: str = SchemaField(
-            description="Format of the date to output", default="%Y-%m-%d"
+        format_type: Union[DateStrftimeFormat, DateISO8601Format] = SchemaField(
+            discriminator="discriminator",
+            description="Format type for date output (strftime with custom format or ISO 8601)",
+            default=DateStrftimeFormat(discriminator="strftime"),
         )
 
     class Output(BlockSchema):
@@ -70,7 +250,22 @@ def __init__(self):
             output_schema=GetCurrentDateBlock.Output,
             test_input=[
                 {"trigger": "Hello", "offset": "7"},
-                {"trigger": "Hello", "offset": "7", "format": "%m/%d/%Y"},
+                {
+                    "trigger": "Hello",
+                    "offset": "7",
+                    "format_type": {
+                        "discriminator": "strftime",
+                        "format": "%m/%d/%Y",
+                    },
+                },
+                {
+                    "trigger": "Hello",
+                    "offset": "0",
+                    "format_type": {
+                        "discriminator": "iso8601",
+                        "timezone": "UTC",
+                    },
+                },
             ],
             test_output=[
                 (
@@ -84,16 +279,52 @@ def __init__(self):
                     < timedelta(days=8),
                     # 7 days difference + 1 day error margin.
                 ),
+                (
+                    "date",
+                    lambda t: len(t) == 10
+                    and t[4] == "-"
+                    and t[7] == "-",  # ISO date format YYYY-MM-DD
+                ),
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        # Extract timezone from user_context (required keyword argument)
+        user_context: UserContext = kwargs["user_context"]
+        effective_timezone = user_context.timezone
+
         try:
             offset = int(input_data.offset)
         except ValueError:
             offset = 0
-        current_date = datetime.now() - timedelta(days=offset)
-        yield "date", current_date.strftime(input_data.format)
+
+        # Get the appropriate timezone
+        tz = _get_timezone(input_data.format_type, effective_timezone)
+        current_date = datetime.now(tz=tz) - timedelta(days=offset)
+
+        if isinstance(input_data.format_type, DateISO8601Format):
+            # ISO 8601 date format is YYYY-MM-DD
+            date_str = current_date.date().isoformat()
+        else:  # DateStrftimeFormat
+            date_str = current_date.strftime(input_data.format_type.format)
+
+        yield "date", date_str
+
+
+class StrftimeFormat(BaseModel):
+    discriminator: Literal["strftime"]
+    format: str = "%Y-%m-%d %H:%M:%S"
+    timezone: TimezoneLiteral = "UTC"
+    # When True, overrides timezone with user's profile timezone
+    use_user_timezone: bool = False
+
+
+class ISO8601Format(BaseModel):
+    discriminator: Literal["iso8601"]
+    timezone: TimezoneLiteral = "UTC"
+    # When True, overrides timezone with user's profile timezone
+    use_user_timezone: bool = False
+    include_microseconds: bool = False
 
 
 class GetCurrentDateAndTimeBlock(Block):
@@ -101,9 +332,10 @@ class Input(BlockSchema):
         trigger: str = SchemaField(
             description="Trigger any data to output the current date and time"
         )
-        format: str = SchemaField(
-            description="Format of the date and time to output",
-            default="%Y-%m-%d %H:%M:%S",
+        format_type: Union[StrftimeFormat, ISO8601Format] = SchemaField(
+            discriminator="discriminator",
+            description="Format type for date and time output (strftime with custom format or ISO 8601/RFC 3339)",
+            default=StrftimeFormat(discriminator="strftime"),
         )
 
     class Output(BlockSchema):
@@ -120,20 +352,65 @@ def __init__(self):
             output_schema=GetCurrentDateAndTimeBlock.Output,
             test_input=[
                 {"trigger": "Hello"},
+                {
+                    "trigger": "Hello",
+                    "format_type": {
+                        "discriminator": "strftime",
+                        "format": "%Y/%m/%d",
+                    },
+                },
+                {
+                    "trigger": "Hello",
+                    "format_type": {
+                        "discriminator": "iso8601",
+                        "timezone": "UTC",
+                        "include_microseconds": False,
+                    },
+                },
             ],
             test_output=[
                 (
                     "date_time",
                     lambda t: abs(
-                        datetime.now() - datetime.strptime(t, "%Y-%m-%d %H:%M:%S")
+                        datetime.now(tz=ZoneInfo("UTC"))
+                        - datetime.strptime(t + "+00:00", "%Y-%m-%d %H:%M:%S%z")
                     )
                     < timedelta(seconds=10),  # 10 seconds error margin.
                 ),
+                (
+                    "date_time",
+                    lambda t: abs(
+                        datetime.now().date() - datetime.strptime(t, "%Y/%m/%d").date()
+                    )
+                    < timedelta(days=1),  # Date format only, no time component
+                ),
+                (
+                    "date_time",
+                    lambda t: abs(
+                        datetime.now(tz=ZoneInfo("UTC")) - datetime.fromisoformat(t)
+                    )
+                    < timedelta(seconds=10),  # 10 seconds error margin for ISO format.
+                ),
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
-        current_date_time = time.strftime(input_data.format)
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        # Extract timezone from user_context (required keyword argument)
+        user_context: UserContext = kwargs["user_context"]
+        effective_timezone = user_context.timezone
+
+        # Get the appropriate timezone
+        tz = _get_timezone(input_data.format_type, effective_timezone)
+        dt = datetime.now(tz=tz)
+
+        if isinstance(input_data.format_type, ISO8601Format):
+            # ISO 8601 format with specified timezone (also RFC3339-compliant)
+            current_date_time = _format_datetime_iso8601(
+                dt, input_data.format_type.include_microseconds
+            )
+        else:  # StrftimeFormat
+            current_date_time = dt.strftime(input_data.format_type.format)
+
         yield "date_time", current_date_time
 
 
@@ -156,6 +433,10 @@ class Input(BlockSchema):
         days: Union[int, str] = SchemaField(
             advanced=False, description="Duration in days", default=0
         )
+        repeat: int = SchemaField(
+            description="Number of times to repeat the timer",
+            default=1,
+        )
 
     class Output(BlockSchema):
         output_message: Any = SchemaField(
@@ -179,7 +460,7 @@ def __init__(self):
             ],
         )
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         seconds = int(input_data.seconds)
         minutes = int(input_data.minutes)
         hours = int(input_data.hours)
@@ -187,5 +468,7 @@ def run(self, input_data: Input, **kwargs) -> BlockOutput:
 
         total_seconds = seconds + minutes * 60 + hours * 3600 + days * 86400
 
-        time.sleep(total_seconds)
-        yield "output_message", input_data.input_message
+        for _ in range(input_data.repeat):
+            if total_seconds > 0:
+                await asyncio.sleep(total_seconds)
+            yield "output_message", input_data.input_message
diff --git a/autogpt_platform/backend/backend/blocks/todoist/_auth.py b/autogpt_platform/backend/backend/blocks/todoist/_auth.py
new file mode 100644
index 000000000000..0b05c63bbf09
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/_auth.py
@@ -0,0 +1,61 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import (
+    CredentialsField,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+    ProviderName,
+)
+from backend.integrations.oauth.todoist import TodoistOAuthHandler
+from backend.util.settings import Secrets
+
+secrets = Secrets()
+TODOIST_OAUTH_IS_CONFIGURED = bool(
+    secrets.todoist_client_id and secrets.todoist_client_secret
+)
+
+TodoistCredentials = OAuth2Credentials
+TodoistCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.TODOIST], Literal["oauth2"]
+]
+
+
+def TodoistCredentialsField(scopes: list[str]) -> TodoistCredentialsInput:
+    """
+    Creates a Todoist credentials input on a block.
+
+    Params:
+        scopes: The authorization scopes needed for the block to work.
+    """
+    return CredentialsField(
+        required_scopes=set(TodoistOAuthHandler.DEFAULT_SCOPES + scopes),
+        description="The Todoist integration requires OAuth2 authentication.",
+    )
+
+
+TEST_CREDENTIALS = OAuth2Credentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="todoist",
+    access_token=SecretStr("mock-todoist-access-token"),
+    refresh_token=None,
+    access_token_expires_at=None,
+    scopes=[
+        "task:add",
+        "data:read",
+        "data:read_write",
+        "data:delete",
+        "project:delete",
+    ],
+    title="Mock Todoist OAuth2 Credentials",
+    username="mock-todoist-username",
+    refresh_token_expires_at=None,
+)
+
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
diff --git a/autogpt_platform/backend/backend/blocks/todoist/_types.py b/autogpt_platform/backend/backend/blocks/todoist/_types.py
new file mode 100644
index 000000000000..ecbdbd4baef9
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/_types.py
@@ -0,0 +1,24 @@
+from enum import Enum
+
+
+class Colors(Enum):
+    berry_red = "berry_red"
+    red = "red"
+    orange = "orange"
+    yellow = "yellow"
+    olive_green = "olive_green"
+    lime_green = "lime_green"
+    green = "green"
+    mint_green = "mint_green"
+    teal = "teal"
+    sky_blue = "sky_blue"
+    light_blue = "light_blue"
+    blue = "blue"
+    grape = "grape"
+    violet = "violet"
+    lavender = "lavender"
+    magenta = "magenta"
+    salmon = "salmon"
+    charcoal = "charcoal"
+    grey = "grey"
+    taupe = "taupe"
diff --git a/autogpt_platform/backend/backend/blocks/todoist/comments.py b/autogpt_platform/backend/backend/blocks/todoist/comments.py
new file mode 100644
index 000000000000..703afb696fb5
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/comments.py
@@ -0,0 +1,445 @@
+from typing import Literal, Union
+
+from pydantic import BaseModel
+from todoist_api_python.api import TodoistAPI
+from typing_extensions import Optional
+
+from backend.blocks.todoist._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TODOIST_OAUTH_IS_CONFIGURED,
+    TodoistCredentials,
+    TodoistCredentialsField,
+    TodoistCredentialsInput,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TaskId(BaseModel):
+    discriminator: Literal["task"]
+    task_id: str
+
+
+class ProjectId(BaseModel):
+    discriminator: Literal["project"]
+    project_id: str
+
+
+class TodoistCreateCommentBlock(Block):
+    """Creates a new comment on a Todoist task or project"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        content: str = SchemaField(description="Comment content")
+        id_type: Union[TaskId, ProjectId] = SchemaField(
+            discriminator="discriminator",
+            description="Specify either task_id or project_id to comment on",
+            default=TaskId(discriminator="task", task_id=""),
+            advanced=False,
+        )
+        attachment: Optional[dict] = SchemaField(
+            description="Optional file attachment", default=None
+        )
+
+    class Output(BlockSchema):
+        id: str = SchemaField(description="ID of created comment")
+        content: str = SchemaField(description="Comment content")
+        posted_at: str = SchemaField(description="Comment timestamp")
+        task_id: Optional[str] = SchemaField(
+            description="Associated task ID", default=None
+        )
+        project_id: Optional[str] = SchemaField(
+            description="Associated project ID", default=None
+        )
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="1bba7e54-2310-4a31-8e6f-54d5f9ab7459",
+            description="Creates a new comment on a Todoist task or project",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistCreateCommentBlock.Input,
+            output_schema=TodoistCreateCommentBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "content": "Test comment",
+                "id_type": {"discriminator": "task", "task_id": "2995104339"},
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "2992679862"),
+                ("content", "Test comment"),
+                ("posted_at", "2016-09-22T07:00:00.000000Z"),
+                ("task_id", "2995104339"),
+                ("project_id", None),
+            ],
+            test_mock={
+                "create_comment": lambda content, credentials, task_id=None, project_id=None, attachment=None: {
+                    "id": "2992679862",
+                    "content": "Test comment",
+                    "posted_at": "2016-09-22T07:00:00.000000Z",
+                    "task_id": "2995104339",
+                    "project_id": None,
+                }
+            },
+        )
+
+    @staticmethod
+    def create_comment(
+        credentials: TodoistCredentials,
+        content: str,
+        task_id: Optional[str] = None,
+        project_id: Optional[str] = None,
+        attachment: Optional[dict] = None,
+    ):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            comment = api.add_comment(
+                content=content,
+                task_id=task_id,
+                project_id=project_id,
+                attachment=attachment,
+            )
+            return comment.__dict__
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            task_id = None
+            project_id = None
+
+            if isinstance(input_data.id_type, TaskId):
+                task_id = input_data.id_type.task_id
+            else:
+                project_id = input_data.id_type.project_id
+
+            comment_data = self.create_comment(
+                credentials,
+                input_data.content,
+                task_id=task_id,
+                project_id=project_id,
+                attachment=input_data.attachment,
+            )
+
+            if comment_data:
+                yield "id", comment_data["id"]
+                yield "content", comment_data["content"]
+                yield "posted_at", comment_data["posted_at"]
+                yield "task_id", comment_data["task_id"]
+                yield "project_id", comment_data["project_id"]
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetCommentsBlock(Block):
+    """Get all comments for a Todoist task or project"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        id_type: Union[TaskId, ProjectId] = SchemaField(
+            discriminator="discriminator",
+            description="Specify either task_id or project_id to get comments for",
+            default=TaskId(discriminator="task", task_id=""),
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        comments: list = SchemaField(description="List of comments")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="9972d8ae-ddf2-11ef-a9b8-32d3674e8b7e",
+            description="Get all comments for a Todoist task or project",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetCommentsBlock.Input,
+            output_schema=TodoistGetCommentsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "id_type": {"discriminator": "task", "task_id": "2995104339"},
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "comments",
+                    [
+                        {
+                            "id": "2992679862",
+                            "content": "Test comment",
+                            "posted_at": "2016-09-22T07:00:00.000000Z",
+                            "task_id": "2995104339",
+                            "project_id": None,
+                            "attachment": None,
+                        }
+                    ],
+                )
+            ],
+            test_mock={
+                "get_comments": lambda credentials, task_id=None, project_id=None: [
+                    {
+                        "id": "2992679862",
+                        "content": "Test comment",
+                        "posted_at": "2016-09-22T07:00:00.000000Z",
+                        "task_id": "2995104339",
+                        "project_id": None,
+                        "attachment": None,
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    def get_comments(
+        credentials: TodoistCredentials,
+        task_id: Optional[str] = None,
+        project_id: Optional[str] = None,
+    ):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            comments = api.get_comments(task_id=task_id, project_id=project_id)
+            return [comment.__dict__ for comment in comments]
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            task_id = None
+            project_id = None
+
+            if isinstance(input_data.id_type, TaskId):
+                task_id = input_data.id_type.task_id
+            else:
+                project_id = input_data.id_type.project_id
+
+            comments = self.get_comments(
+                credentials, task_id=task_id, project_id=project_id
+            )
+
+            yield "comments", comments
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetCommentBlock(Block):
+    """Get a single comment from Todoist using comment ID"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        comment_id: str = SchemaField(description="Comment ID to retrieve")
+
+    class Output(BlockSchema):
+        content: str = SchemaField(description="Comment content")
+        id: str = SchemaField(description="Comment ID")
+        posted_at: str = SchemaField(description="Comment timestamp")
+        project_id: Optional[str] = SchemaField(
+            description="Associated project ID", default=None
+        )
+        task_id: Optional[str] = SchemaField(
+            description="Associated task ID", default=None
+        )
+        attachment: Optional[dict] = SchemaField(
+            description="Optional file attachment", default=None
+        )
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="a809d264-ddf2-11ef-9764-32d3674e8b7e",
+            description="Get a single comment from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetCommentBlock.Input,
+            output_schema=TodoistGetCommentBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "comment_id": "2992679862",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("content", "Test comment"),
+                ("id", "2992679862"),
+                ("posted_at", "2016-09-22T07:00:00.000000Z"),
+                ("project_id", None),
+                ("task_id", "2995104339"),
+                ("attachment", None),
+            ],
+            test_mock={
+                "get_comment": lambda credentials, comment_id: {
+                    "content": "Test comment",
+                    "id": "2992679862",
+                    "posted_at": "2016-09-22T07:00:00.000000Z",
+                    "project_id": None,
+                    "task_id": "2995104339",
+                    "attachment": None,
+                }
+            },
+        )
+
+    @staticmethod
+    def get_comment(credentials: TodoistCredentials, comment_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            comment = api.get_comment(comment_id=comment_id)
+            return comment.__dict__
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            comment_data = self.get_comment(
+                credentials, comment_id=input_data.comment_id
+            )
+
+            if comment_data:
+                yield "content", comment_data["content"]
+                yield "id", comment_data["id"]
+                yield "posted_at", comment_data["posted_at"]
+                yield "project_id", comment_data["project_id"]
+                yield "task_id", comment_data["task_id"]
+                yield "attachment", comment_data["attachment"]
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistUpdateCommentBlock(Block):
+    """Updates a Todoist comment"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        comment_id: str = SchemaField(description="Comment ID to update")
+        content: str = SchemaField(description="New content for the comment")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the update was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="b773c520-ddf2-11ef-9f34-32d3674e8b7e",
+            description="Updates a Todoist comment",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistUpdateCommentBlock.Input,
+            output_schema=TodoistUpdateCommentBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "comment_id": "2992679862",
+                "content": "Need one bottle of milk",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"update_comment": lambda credentials, comment_id, content: True},
+        )
+
+    @staticmethod
+    def update_comment(credentials: TodoistCredentials, comment_id: str, content: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            api.update_comment(comment_id=comment_id, content=content)
+            return True
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.update_comment(
+                credentials,
+                comment_id=input_data.comment_id,
+                content=input_data.content,
+            )
+
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistDeleteCommentBlock(Block):
+    """Deletes a Todoist comment"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        comment_id: str = SchemaField(description="Comment ID to delete")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the deletion was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="bda4c020-ddf2-11ef-b114-32d3674e8b7e",
+            description="Deletes a Todoist comment",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistDeleteCommentBlock.Input,
+            output_schema=TodoistDeleteCommentBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "comment_id": "2992679862",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"delete_comment": lambda credentials, comment_id: True},
+        )
+
+    @staticmethod
+    def delete_comment(credentials: TodoistCredentials, comment_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            success = api.delete_comment(comment_id=comment_id)
+            return success
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.delete_comment(credentials, comment_id=input_data.comment_id)
+
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/todoist/labels.py b/autogpt_platform/backend/backend/blocks/todoist/labels.py
new file mode 100644
index 000000000000..4700ebb6c082
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/labels.py
@@ -0,0 +1,566 @@
+from todoist_api_python.api import TodoistAPI
+from typing_extensions import Optional
+
+from backend.blocks.todoist._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TODOIST_OAUTH_IS_CONFIGURED,
+    TodoistCredentials,
+    TodoistCredentialsField,
+    TodoistCredentialsInput,
+)
+from backend.blocks.todoist._types import Colors
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TodoistCreateLabelBlock(Block):
+    """Creates a new label in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        name: str = SchemaField(description="Name of the label")
+        order: Optional[int] = SchemaField(description="Label order", default=None)
+        color: Optional[Colors] = SchemaField(
+            description="The color of the label icon", default=Colors.charcoal
+        )
+        is_favorite: bool = SchemaField(
+            description="Whether the label is a favorite", default=False
+        )
+
+    class Output(BlockSchema):
+        id: str = SchemaField(description="ID of the created label")
+        name: str = SchemaField(description="Name of the label")
+        color: str = SchemaField(description="Color of the label")
+        order: int = SchemaField(description="Label order")
+        is_favorite: bool = SchemaField(description="Favorite status")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="7288a968-de14-11ef-8997-32d3674e8b7e",
+            description="Creates a new label in Todoist, It will not work if same name already exists",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistCreateLabelBlock.Input,
+            output_schema=TodoistCreateLabelBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "name": "Test Label",
+                "color": Colors.charcoal.value,
+                "order": 1,
+                "is_favorite": False,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "2156154810"),
+                ("name", "Test Label"),
+                ("color", "charcoal"),
+                ("order", 1),
+                ("is_favorite", False),
+            ],
+            test_mock={
+                "create_label": lambda *args, **kwargs: {
+                    "id": "2156154810",
+                    "name": "Test Label",
+                    "color": "charcoal",
+                    "order": 1,
+                    "is_favorite": False,
+                }
+            },
+        )
+
+    @staticmethod
+    def create_label(credentials: TodoistCredentials, name: str, **kwargs):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            label = api.add_label(name=name, **kwargs)
+            return label.__dict__
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            label_args = {
+                "order": input_data.order,
+                "color": (
+                    input_data.color.value if input_data.color is not None else None
+                ),
+                "is_favorite": input_data.is_favorite,
+            }
+
+            label_data = self.create_label(
+                credentials,
+                input_data.name,
+                **{k: v for k, v in label_args.items() if v is not None},
+            )
+
+            if label_data:
+                yield "id", label_data["id"]
+                yield "name", label_data["name"]
+                yield "color", label_data["color"]
+                yield "order", label_data["order"]
+                yield "is_favorite", label_data["is_favorite"]
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistListLabelsBlock(Block):
+    """Gets all personal labels from Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+
+    class Output(BlockSchema):
+        labels: list = SchemaField(description="List of complete label data")
+        label_ids: list = SchemaField(description="List of label IDs")
+        label_names: list = SchemaField(description="List of label names")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="776dd750-de14-11ef-b927-32d3674e8b7e",
+            description="Gets all personal labels from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistListLabelsBlock.Input,
+            output_schema=TodoistListLabelsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                (
+                    "labels",
+                    [
+                        {
+                            "id": "2156154810",
+                            "name": "Test Label",
+                            "color": "charcoal",
+                            "order": 1,
+                            "is_favorite": False,
+                        }
+                    ],
+                ),
+                ("label_ids", ["2156154810"]),
+                ("label_names", ["Test Label"]),
+            ],
+            test_mock={
+                "get_labels": lambda *args, **kwargs: [
+                    {
+                        "id": "2156154810",
+                        "name": "Test Label",
+                        "color": "charcoal",
+                        "order": 1,
+                        "is_favorite": False,
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    def get_labels(credentials: TodoistCredentials):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            labels = api.get_labels()
+            return [label.__dict__ for label in labels]
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            labels = self.get_labels(credentials)
+            yield "labels", labels
+            yield "label_ids", [label["id"] for label in labels]
+            yield "label_names", [label["name"] for label in labels]
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetLabelBlock(Block):
+    """Gets a personal label from Todoist by ID"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        label_id: str = SchemaField(description="ID of the label to retrieve")
+
+    class Output(BlockSchema):
+        id: str = SchemaField(description="ID of the label")
+        name: str = SchemaField(description="Name of the label")
+        color: str = SchemaField(description="Color of the label")
+        order: int = SchemaField(description="Label order")
+        is_favorite: bool = SchemaField(description="Favorite status")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="7f236514-de14-11ef-bd7a-32d3674e8b7e",
+            description="Gets a personal label from Todoist by ID",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetLabelBlock.Input,
+            output_schema=TodoistGetLabelBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "label_id": "2156154810",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "2156154810"),
+                ("name", "Test Label"),
+                ("color", "charcoal"),
+                ("order", 1),
+                ("is_favorite", False),
+            ],
+            test_mock={
+                "get_label": lambda *args, **kwargs: {
+                    "id": "2156154810",
+                    "name": "Test Label",
+                    "color": "charcoal",
+                    "order": 1,
+                    "is_favorite": False,
+                }
+            },
+        )
+
+    @staticmethod
+    def get_label(credentials: TodoistCredentials, label_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            label = api.get_label(label_id=label_id)
+            return label.__dict__
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            label_data = self.get_label(credentials, input_data.label_id)
+
+            if label_data:
+                yield "id", label_data["id"]
+                yield "name", label_data["name"]
+                yield "color", label_data["color"]
+                yield "order", label_data["order"]
+                yield "is_favorite", label_data["is_favorite"]
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistUpdateLabelBlock(Block):
+    """Updates a personal label in Todoist using ID"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        label_id: str = SchemaField(description="ID of the label to update")
+        name: Optional[str] = SchemaField(
+            description="New name of the label", default=None
+        )
+        order: Optional[int] = SchemaField(description="Label order", default=None)
+        color: Optional[Colors] = SchemaField(
+            description="The color of the label icon", default=None
+        )
+        is_favorite: bool = SchemaField(
+            description="Whether the label is a favorite (true/false)", default=False
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the update was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="8755614c-de14-11ef-9b56-32d3674e8b7e",
+            description="Updates a personal label in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistUpdateLabelBlock.Input,
+            output_schema=TodoistUpdateLabelBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "label_id": "2156154810",
+                "name": "Updated Label",
+                "color": Colors.charcoal.value,
+                "order": 2,
+                "is_favorite": True,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"update_label": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def update_label(credentials: TodoistCredentials, label_id: str, **kwargs):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            api.update_label(label_id=label_id, **kwargs)
+            return True
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            label_args = {}
+            if input_data.name is not None:
+                label_args["name"] = input_data.name
+            if input_data.order is not None:
+                label_args["order"] = input_data.order
+            if input_data.color is not None:
+                label_args["color"] = input_data.color.value
+            if input_data.is_favorite is not None:
+                label_args["is_favorite"] = input_data.is_favorite
+
+            success = self.update_label(
+                credentials,
+                input_data.label_id,
+                **{k: v for k, v in label_args.items() if v is not None},
+            )
+
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistDeleteLabelBlock(Block):
+    """Deletes a personal label in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        label_id: str = SchemaField(description="ID of the label to delete")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the deletion was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="901b8f86-de14-11ef-98b8-32d3674e8b7e",
+            description="Deletes a personal label in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistDeleteLabelBlock.Input,
+            output_schema=TodoistDeleteLabelBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "label_id": "2156154810",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"delete_label": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def delete_label(credentials: TodoistCredentials, label_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            success = api.delete_label(label_id=label_id)
+            return success
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.delete_label(credentials, input_data.label_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetSharedLabelsBlock(Block):
+    """Gets all shared labels from Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+
+    class Output(BlockSchema):
+        labels: list = SchemaField(description="List of shared label names")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="55fba510-de15-11ef-aed2-32d3674e8b7e",
+            description="Gets all shared labels from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetSharedLabelsBlock.Input,
+            output_schema=TodoistGetSharedLabelsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("labels", ["Label1", "Label2", "Label3"])],
+            test_mock={
+                "get_shared_labels": lambda *args, **kwargs: [
+                    "Label1",
+                    "Label2",
+                    "Label3",
+                ]
+            },
+        )
+
+    @staticmethod
+    def get_shared_labels(credentials: TodoistCredentials):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            labels = api.get_shared_labels()
+            return labels
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            labels = self.get_shared_labels(credentials)
+            yield "labels", labels
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistRenameSharedLabelsBlock(Block):
+    """Renames all instances of a shared label"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        name: str = SchemaField(description="The name of the existing label to rename")
+        new_name: str = SchemaField(description="The new name for the label")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the rename was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="9d63ad9a-de14-11ef-ab3f-32d3674e8b7e",
+            description="Renames all instances of a shared label",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistRenameSharedLabelsBlock.Input,
+            output_schema=TodoistRenameSharedLabelsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "name": "OldLabel",
+                "new_name": "NewLabel",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"rename_shared_labels": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def rename_shared_labels(credentials: TodoistCredentials, name: str, new_name: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            success = api.rename_shared_label(name=name, new_name=new_name)
+            return success
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.rename_shared_labels(
+                credentials, input_data.name, input_data.new_name
+            )
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistRemoveSharedLabelsBlock(Block):
+    """Removes all instances of a shared label"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        name: str = SchemaField(description="The name of the label to remove")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the removal was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="a6c5cbde-de14-11ef-8863-32d3674e8b7e",
+            description="Removes all instances of a shared label",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistRemoveSharedLabelsBlock.Input,
+            output_schema=TodoistRemoveSharedLabelsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "name": "LabelToRemove"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"remove_shared_label": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def remove_shared_label(credentials: TodoistCredentials, name: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            success = api.remove_shared_label(name=name)
+            return success
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.remove_shared_label(credentials, input_data.name)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/todoist/projects.py b/autogpt_platform/backend/backend/blocks/todoist/projects.py
new file mode 100644
index 000000000000..33ad7950faee
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/projects.py
@@ -0,0 +1,573 @@
+from todoist_api_python.api import TodoistAPI
+from typing_extensions import Optional
+
+from backend.blocks.todoist._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TODOIST_OAUTH_IS_CONFIGURED,
+    TodoistCredentials,
+    TodoistCredentialsField,
+    TodoistCredentialsInput,
+)
+from backend.blocks.todoist._types import Colors
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TodoistListProjectsBlock(Block):
+    """Gets all projects for a Todoist user"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+
+    class Output(BlockSchema):
+        names_list: list[str] = SchemaField(description="List of project names")
+        ids_list: list[str] = SchemaField(description="List of project IDs")
+        url_list: list[str] = SchemaField(description="List of project URLs")
+        complete_data: list[dict] = SchemaField(
+            description="Complete project data including all fields"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="5f3e1d5b-6bc5-40e3-97ee-1318b3f38813",
+            description="Gets all projects and their details from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistListProjectsBlock.Input,
+            output_schema=TodoistListProjectsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("names_list", ["Inbox"]),
+                ("ids_list", ["220474322"]),
+                ("url_list", ["https://todoist.com/showProject?id=220474322"]),
+                (
+                    "complete_data",
+                    [
+                        {
+                            "id": "220474322",
+                            "name": "Inbox",
+                            "url": "https://todoist.com/showProject?id=220474322",
+                        }
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_project_lists": lambda *args, **kwargs: (
+                    ["Inbox"],
+                    ["220474322"],
+                    ["https://todoist.com/showProject?id=220474322"],
+                    [
+                        {
+                            "id": "220474322",
+                            "name": "Inbox",
+                            "url": "https://todoist.com/showProject?id=220474322",
+                        }
+                    ],
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_project_lists(credentials: TodoistCredentials):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            projects = api.get_projects()
+
+            names = []
+            ids = []
+            urls = []
+            complete_data = []
+
+            for project in projects:
+                names.append(project.name)
+                ids.append(project.id)
+                urls.append(project.url)
+                complete_data.append(project.__dict__)
+
+            return names, ids, urls, complete_data, None
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            names, ids, urls, data, error = self.get_project_lists(credentials)
+
+            if names:
+                yield "names_list", names
+            if ids:
+                yield "ids_list", ids
+            if urls:
+                yield "url_list", urls
+            if data:
+                yield "complete_data", data
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistCreateProjectBlock(Block):
+    """Creates a new project in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        name: str = SchemaField(description="Name of the project", advanced=False)
+        parent_id: Optional[str] = SchemaField(
+            description="Parent project ID", default=None, advanced=True
+        )
+        color: Optional[Colors] = SchemaField(
+            description="Color of the project icon",
+            default=Colors.charcoal,
+            advanced=True,
+        )
+        is_favorite: bool = SchemaField(
+            description="Whether the project is a favorite",
+            default=False,
+            advanced=True,
+        )
+        view_style: Optional[str] = SchemaField(
+            description="Display style (list or board)", default=None, advanced=True
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the creation was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ade60136-de14-11ef-b5e5-32d3674e8b7e",
+            description="Creates a new project in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistCreateProjectBlock.Input,
+            output_schema=TodoistCreateProjectBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "name": "Test Project"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"create_project": lambda *args, **kwargs: (True)},
+        )
+
+    @staticmethod
+    def create_project(
+        credentials: TodoistCredentials,
+        name: str,
+        parent_id: Optional[str],
+        color: Optional[Colors],
+        is_favorite: bool,
+        view_style: Optional[str],
+    ):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            params = {"name": name, "is_favorite": is_favorite}
+
+            if parent_id is not None:
+                params["parent_id"] = parent_id
+            if color is not None:
+                params["color"] = color.value
+            if view_style is not None:
+                params["view_style"] = view_style
+
+            api.add_project(**params)
+            return True
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.create_project(
+                credentials=credentials,
+                name=input_data.name,
+                parent_id=input_data.parent_id,
+                color=input_data.color,
+                is_favorite=input_data.is_favorite,
+                view_style=input_data.view_style,
+            )
+
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetProjectBlock(Block):
+    """Gets details for a specific Todoist project"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        project_id: str = SchemaField(
+            description="ID of the project to get details for", advanced=False
+        )
+
+    class Output(BlockSchema):
+        project_id: str = SchemaField(description="ID of project")
+        project_name: str = SchemaField(description="Name of project")
+        project_url: str = SchemaField(description="URL of project")
+        complete_data: dict = SchemaField(
+            description="Complete project data including all fields"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="b435b5ea-de14-11ef-8b51-32d3674e8b7e",
+            description="Gets details for a specific Todoist project",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetProjectBlock.Input,
+            output_schema=TodoistGetProjectBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "project_id": "2203306141",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("project_id", "2203306141"),
+                ("project_name", "Shopping List"),
+                ("project_url", "https://todoist.com/showProject?id=2203306141"),
+                (
+                    "complete_data",
+                    {
+                        "id": "2203306141",
+                        "name": "Shopping List",
+                        "url": "https://todoist.com/showProject?id=2203306141",
+                    },
+                ),
+            ],
+            test_mock={
+                "get_project": lambda *args, **kwargs: (
+                    "2203306141",
+                    "Shopping List",
+                    "https://todoist.com/showProject?id=2203306141",
+                    {
+                        "id": "2203306141",
+                        "name": "Shopping List",
+                        "url": "https://todoist.com/showProject?id=2203306141",
+                    },
+                )
+            },
+        )
+
+    @staticmethod
+    def get_project(credentials: TodoistCredentials, project_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            project = api.get_project(project_id=project_id)
+
+            return project.id, project.name, project.url, project.__dict__
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            project_id, project_name, project_url, data = self.get_project(
+                credentials=credentials, project_id=input_data.project_id
+            )
+
+            if project_id:
+                yield "project_id", project_id
+            if project_name:
+                yield "project_name", project_name
+            if project_url:
+                yield "project_url", project_url
+            if data:
+                yield "complete_data", data
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistUpdateProjectBlock(Block):
+    """Updates an existing project in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        project_id: str = SchemaField(
+            description="ID of project to update", advanced=False
+        )
+        name: Optional[str] = SchemaField(
+            description="New name for the project", default=None, advanced=False
+        )
+        color: Optional[Colors] = SchemaField(
+            description="New color for the project icon", default=None, advanced=True
+        )
+        is_favorite: Optional[bool] = SchemaField(
+            description="Whether the project should be a favorite",
+            default=None,
+            advanced=True,
+        )
+        view_style: Optional[str] = SchemaField(
+            description="Display style (list or board)", default=None, advanced=True
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the update was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ba41a20a-de14-11ef-91d7-32d3674e8b7e",
+            description="Updates an existing project in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistUpdateProjectBlock.Input,
+            output_schema=TodoistUpdateProjectBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "project_id": "2203306141",
+                "name": "Things To Buy",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"update_project": lambda *args, **kwargs: (True)},
+        )
+
+    @staticmethod
+    def update_project(
+        credentials: TodoistCredentials,
+        project_id: str,
+        name: Optional[str],
+        color: Optional[Colors],
+        is_favorite: Optional[bool],
+        view_style: Optional[str],
+    ):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            params = {}
+
+            if name is not None:
+                params["name"] = name
+            if color is not None:
+                params["color"] = color.value
+            if is_favorite is not None:
+                params["is_favorite"] = is_favorite
+            if view_style is not None:
+                params["view_style"] = view_style
+
+            api.update_project(project_id=project_id, **params)
+            return True
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.update_project(
+                credentials=credentials,
+                project_id=input_data.project_id,
+                name=input_data.name,
+                color=input_data.color,
+                is_favorite=input_data.is_favorite,
+                view_style=input_data.view_style,
+            )
+
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistDeleteProjectBlock(Block):
+    """Deletes a project and all of its sections and tasks"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        project_id: str = SchemaField(
+            description="ID of project to delete", advanced=False
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the deletion was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="c2893acc-de14-11ef-a113-32d3674e8b7e",
+            description="Deletes a Todoist project and all its contents",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistDeleteProjectBlock.Input,
+            output_schema=TodoistDeleteProjectBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "project_id": "2203306141",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"delete_project": lambda *args, **kwargs: (True)},
+        )
+
+    @staticmethod
+    def delete_project(credentials: TodoistCredentials, project_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            success = api.delete_project(project_id=project_id)
+            return success
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.delete_project(
+                credentials=credentials, project_id=input_data.project_id
+            )
+
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistListCollaboratorsBlock(Block):
+    """Gets all collaborators for a Todoist project"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        project_id: str = SchemaField(
+            description="ID of the project to get collaborators for", advanced=False
+        )
+
+    class Output(BlockSchema):
+        collaborator_ids: list[str] = SchemaField(
+            description="List of collaborator IDs"
+        )
+        collaborator_names: list[str] = SchemaField(
+            description="List of collaborator names"
+        )
+        collaborator_emails: list[str] = SchemaField(
+            description="List of collaborator email addresses"
+        )
+        complete_data: list[dict] = SchemaField(
+            description="Complete collaborator data including all fields"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="c99c804e-de14-11ef-9f47-32d3674e8b7e",
+            description="Gets all collaborators for a specific Todoist project",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistListCollaboratorsBlock.Input,
+            output_schema=TodoistListCollaboratorsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "project_id": "2203306141",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("collaborator_ids", ["2671362", "2671366"]),
+                ("collaborator_names", ["Alice", "Bob"]),
+                ("collaborator_emails", ["alice@example.com", "bob@example.com"]),
+                (
+                    "complete_data",
+                    [
+                        {
+                            "id": "2671362",
+                            "name": "Alice",
+                            "email": "alice@example.com",
+                        },
+                        {"id": "2671366", "name": "Bob", "email": "bob@example.com"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_collaborators": lambda *args, **kwargs: (
+                    ["2671362", "2671366"],
+                    ["Alice", "Bob"],
+                    ["alice@example.com", "bob@example.com"],
+                    [
+                        {
+                            "id": "2671362",
+                            "name": "Alice",
+                            "email": "alice@example.com",
+                        },
+                        {"id": "2671366", "name": "Bob", "email": "bob@example.com"},
+                    ],
+                )
+            },
+        )
+
+    @staticmethod
+    def get_collaborators(credentials: TodoistCredentials, project_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            collaborators = api.get_collaborators(project_id=project_id)
+
+            ids = []
+            names = []
+            emails = []
+            complete_data = []
+
+            for collaborator in collaborators:
+                ids.append(collaborator.id)
+                names.append(collaborator.name)
+                emails.append(collaborator.email)
+                complete_data.append(collaborator.__dict__)
+
+            return ids, names, emails, complete_data
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, names, emails, data = self.get_collaborators(
+                credentials=credentials, project_id=input_data.project_id
+            )
+
+            if ids:
+                yield "collaborator_ids", ids
+            if names:
+                yield "collaborator_names", names
+            if emails:
+                yield "collaborator_emails", emails
+            if data:
+                yield "complete_data", data
+
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/todoist/sections.py b/autogpt_platform/backend/backend/blocks/todoist/sections.py
new file mode 100644
index 000000000000..764f7e166ecf
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/sections.py
@@ -0,0 +1,310 @@
+from todoist_api_python.api import TodoistAPI
+from typing_extensions import Optional
+
+from backend.blocks.todoist._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TODOIST_OAUTH_IS_CONFIGURED,
+    TodoistCredentials,
+    TodoistCredentialsField,
+    TodoistCredentialsInput,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TodoistListSectionsBlock(Block):
+    """Gets all sections for a Todoist project"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        project_id: Optional[str] = SchemaField(
+            description="Optional project ID to filter sections"
+        )
+
+    class Output(BlockSchema):
+        names_list: list[str] = SchemaField(description="List of section names")
+        ids_list: list[str] = SchemaField(description="List of section IDs")
+        complete_data: list[dict] = SchemaField(
+            description="Complete section data including all fields"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="d6a116d8-de14-11ef-a94c-32d3674e8b7e",
+            description="Gets all sections and their details from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistListSectionsBlock.Input,
+            output_schema=TodoistListSectionsBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "project_id": "2203306141",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("names_list", ["Groceries"]),
+                ("ids_list", ["7025"]),
+                (
+                    "complete_data",
+                    [
+                        {
+                            "id": "7025",
+                            "project_id": "2203306141",
+                            "order": 1,
+                            "name": "Groceries",
+                        }
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_section_lists": lambda *args, **kwargs: (
+                    ["Groceries"],
+                    ["7025"],
+                    [
+                        {
+                            "id": "7025",
+                            "project_id": "2203306141",
+                            "order": 1,
+                            "name": "Groceries",
+                        }
+                    ],
+                )
+            },
+        )
+
+    @staticmethod
+    def get_section_lists(
+        credentials: TodoistCredentials, project_id: Optional[str] = None
+    ):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            sections = api.get_sections(project_id=project_id)
+
+            names = []
+            ids = []
+            complete_data = []
+
+            for section in sections:
+                names.append(section.name)
+                ids.append(section.id)
+                complete_data.append(section.__dict__)
+
+            return names, ids, complete_data
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            names, ids, data = self.get_section_lists(
+                credentials, input_data.project_id
+            )
+
+            if names:
+                yield "names_list", names
+            if ids:
+                yield "ids_list", ids
+            if data:
+                yield "complete_data", data
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+# Error in official todoist SDK. Will add this block using sync_api
+# class TodoistCreateSectionBlock(Block):
+#     """Creates a new section in a Todoist project"""
+
+#     class Input(BlockSchema):
+#         credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+#         name: str = SchemaField(description="Section name")
+#         project_id: str = SchemaField(description="Project ID this section should belong to")
+#         order: Optional[int] = SchemaField(description="Optional order among other sections", default=None)
+
+#     class Output(BlockSchema):
+#         success: bool = SchemaField(description="Whether section was successfully created")
+#         error: str = SchemaField(description="Error message if the request failed")
+
+#     def __init__(self):
+#         super().__init__(
+#             id="e3025cfc-de14-11ef-b9f2-32d3674e8b7e",
+#             description="Creates a new section in a Todoist project",
+#             categories={BlockCategory.PRODUCTIVITY},
+#             input_schema=TodoistCreateSectionBlock.Input,
+#             output_schema=TodoistCreateSectionBlock.Output,
+#             test_input={
+#                 "credentials": TEST_CREDENTIALS_INPUT,
+#                 "name": "Groceries",
+#                 "project_id": "2203306141"
+#             },
+#             test_credentials=TEST_CREDENTIALS,
+#             test_output=[
+#                 ("success", True)
+#             ],
+#             test_mock={
+#                 "create_section": lambda *args, **kwargs: (
+#                     {"id": "7025", "project_id": "2203306141", "order": 1, "name": "Groceries"},
+#                 )
+#             },
+#         )
+
+#     @staticmethod
+#     def create_section(credentials: TodoistCredentials, name: str, project_id: str, order: Optional[int] = None):
+#         try:
+#             api = TodoistAPI(credentials.access_token.get_secret_value())
+#             section = api.add_section(name=name, project_id=project_id, order=order)
+#             return section.__dict__
+
+#         except Exception as e:
+#             raise e
+
+#     async def run(
+#         self,
+#         input_data: Input,
+#         *,
+#         credentials: TodoistCredentials,
+#         **kwargs,
+#     ) -> BlockOutput:
+#         try:
+#             section_data = self.create_section(
+#                 credentials,
+#                 input_data.name,
+#                 input_data.project_id,
+#                 input_data.order
+#             )
+
+#             if section_data:
+#                 yield "success", True
+
+#         except Exception as e:
+#             yield "error", str(e)
+
+
+class TodoistGetSectionBlock(Block):
+    """Gets a single section from Todoist by ID"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        section_id: str = SchemaField(description="ID of section to fetch")
+
+    class Output(BlockSchema):
+        id: str = SchemaField(description="ID of section")
+        project_id: str = SchemaField(description="Project ID the section belongs to")
+        order: int = SchemaField(description="Order of the section")
+        name: str = SchemaField(description="Name of the section")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ea5580e2-de14-11ef-a5d3-32d3674e8b7e",
+            description="Gets a single section by ID from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetSectionBlock.Input,
+            output_schema=TodoistGetSectionBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "section_id": "7025"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "7025"),
+                ("project_id", "2203306141"),
+                ("order", 1),
+                ("name", "Groceries"),
+            ],
+            test_mock={
+                "get_section": lambda *args, **kwargs: {
+                    "id": "7025",
+                    "project_id": "2203306141",
+                    "order": 1,
+                    "name": "Groceries",
+                }
+            },
+        )
+
+    @staticmethod
+    def get_section(credentials: TodoistCredentials, section_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            section = api.get_section(section_id=section_id)
+            return section.__dict__
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            section_data = self.get_section(credentials, input_data.section_id)
+
+            if section_data:
+                yield "id", section_data["id"]
+                yield "project_id", section_data["project_id"]
+                yield "order", section_data["order"]
+                yield "name", section_data["name"]
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistDeleteSectionBlock(Block):
+    """Deletes a section and all its tasks from Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        section_id: str = SchemaField(description="ID of section to delete")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether section was successfully deleted"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="f0e52eee-de14-11ef-9b12-32d3674e8b7e",
+            description="Deletes a section and all its tasks from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistDeleteSectionBlock.Input,
+            output_schema=TodoistDeleteSectionBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "section_id": "7025"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"delete_section": lambda *args, **kwargs: (True)},
+        )
+
+    @staticmethod
+    def delete_section(credentials: TodoistCredentials, section_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            success = api.delete_section(section_id=section_id)
+            return success
+
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.delete_section(credentials, input_data.section_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/todoist/tasks.py b/autogpt_platform/backend/backend/blocks/todoist/tasks.py
new file mode 100644
index 000000000000..d50124a9ef13
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/todoist/tasks.py
@@ -0,0 +1,660 @@
+from datetime import datetime
+
+from todoist_api_python.api import TodoistAPI
+from todoist_api_python.models import Task
+from typing_extensions import Optional
+
+from backend.blocks.todoist._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TODOIST_OAUTH_IS_CONFIGURED,
+    TodoistCredentials,
+    TodoistCredentialsField,
+    TodoistCredentialsInput,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TodoistCreateTaskBlock(Block):
+    """Creates a new task in a Todoist project"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        content: str = SchemaField(description="Task content", advanced=False)
+        description: Optional[str] = SchemaField(
+            description="Task description", default=None, advanced=False
+        )
+        project_id: Optional[str] = SchemaField(
+            description="Project ID this task should belong to",
+            default=None,
+            advanced=False,
+        )
+        section_id: Optional[str] = SchemaField(
+            description="Section ID this task should belong to",
+            default=None,
+            advanced=False,
+        )
+        parent_id: Optional[str] = SchemaField(
+            description="Parent task ID", default=None, advanced=True
+        )
+        order: Optional[int] = SchemaField(
+            description="Optional order among other tasks,[Non-zero integer value used by clients to sort tasks under the same parent]",
+            default=None,
+            advanced=True,
+        )
+        labels: Optional[list[str]] = SchemaField(
+            description="Task labels", default=None, advanced=True
+        )
+        priority: Optional[int] = SchemaField(
+            description="Task priority from 1 (normal) to 4 (urgent)",
+            default=None,
+            advanced=True,
+        )
+        due_date: Optional[datetime] = SchemaField(
+            description="Due date in YYYY-MM-DD format", advanced=True, default=None
+        )
+        deadline_date: Optional[datetime] = SchemaField(
+            description="Specific date in YYYY-MM-DD format relative to user's timezone",
+            default=None,
+            advanced=True,
+        )
+        assignee_id: Optional[str] = SchemaField(
+            description="Responsible user ID", default=None, advanced=True
+        )
+        duration_unit: Optional[str] = SchemaField(
+            description="Task duration unit (minute/day)", default=None, advanced=True
+        )
+        duration: Optional[int] = SchemaField(
+            description="Task duration amount, You need to selecct the duration unit first",
+            depends_on=["duration_unit"],
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        id: str = SchemaField(description="Task ID")
+        url: str = SchemaField(description="Task URL")
+        complete_data: dict = SchemaField(
+            description="Complete task data as dictionary"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="fde4f458-de14-11ef-bf0c-32d3674e8b7e",
+            description="Creates a new task in a Todoist project",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistCreateTaskBlock.Input,
+            output_schema=TodoistCreateTaskBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "content": "Buy groceries",
+                "project_id": "2203306141",
+                "priority": 4,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "2995104339"),
+                ("url", "https://todoist.com/showTask?id=2995104339"),
+                (
+                    "complete_data",
+                    {
+                        "id": "2995104339",
+                        "project_id": "2203306141",
+                        "url": "https://todoist.com/showTask?id=2995104339",
+                    },
+                ),
+            ],
+            test_mock={
+                "create_task": lambda *args, **kwargs: (
+                    "2995104339",
+                    "https://todoist.com/showTask?id=2995104339",
+                    {
+                        "id": "2995104339",
+                        "project_id": "2203306141",
+                        "url": "https://todoist.com/showTask?id=2995104339",
+                    },
+                )
+            },
+        )
+
+    @staticmethod
+    def create_task(credentials: TodoistCredentials, content: str, **kwargs):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            task = api.add_task(content=content, **kwargs)
+            task_dict = Task.to_dict(task)
+            return task.id, task.url, task_dict
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            due_date = (
+                input_data.due_date.strftime("%Y-%m-%d")
+                if input_data.due_date
+                else None
+            )
+            deadline_date = (
+                input_data.deadline_date.strftime("%Y-%m-%d")
+                if input_data.deadline_date
+                else None
+            )
+
+            task_args = {
+                "description": input_data.description,
+                "project_id": input_data.project_id,
+                "section_id": input_data.section_id,
+                "parent_id": input_data.parent_id,
+                "order": input_data.order,
+                "labels": input_data.labels,
+                "priority": input_data.priority,
+                "due_date": due_date,
+                "deadline_date": deadline_date,
+                "assignee_id": input_data.assignee_id,
+                "duration": input_data.duration,
+                "duration_unit": input_data.duration_unit,
+            }
+
+            id, url, complete_data = self.create_task(
+                credentials,
+                input_data.content,
+                **{k: v for k, v in task_args.items() if v is not None},
+            )
+
+            yield "id", id
+            yield "url", url
+            yield "complete_data", complete_data
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetTasksBlock(Block):
+    """Get active tasks from Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        project_id: Optional[str] = SchemaField(
+            description="Filter tasks by project ID", default=None, advanced=False
+        )
+        section_id: Optional[str] = SchemaField(
+            description="Filter tasks by section ID", default=None, advanced=True
+        )
+        label: Optional[str] = SchemaField(
+            description="Filter tasks by label name", default=None, advanced=True
+        )
+        filter: Optional[str] = SchemaField(
+            description="Filter by any supported filter, You can see How to use filters or create one of your one here - https://todoist.com/help/articles/introduction-to-filters-V98wIH",
+            default=None,
+            advanced=True,
+        )
+        lang: Optional[str] = SchemaField(
+            description="IETF language tag for filter language", default=None
+        )
+        ids: Optional[list[str]] = SchemaField(
+            description="List of task IDs to retrieve", default=None, advanced=False
+        )
+
+    class Output(BlockSchema):
+        ids: list[str] = SchemaField(description="Task IDs")
+        urls: list[str] = SchemaField(description="Task URLs")
+        complete_data: list[dict] = SchemaField(
+            description="Complete task data as dictionary"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="0b706e86-de15-11ef-a113-32d3674e8b7e",
+            description="Get active tasks from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetTasksBlock.Input,
+            output_schema=TodoistGetTasksBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "project_id": "2203306141",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["2995104339"]),
+                ("urls", ["https://todoist.com/showTask?id=2995104339"]),
+                (
+                    "complete_data",
+                    [
+                        {
+                            "id": "2995104339",
+                            "project_id": "2203306141",
+                            "url": "https://todoist.com/showTask?id=2995104339",
+                            "is_completed": False,
+                        }
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_tasks": lambda *args, **kwargs: [
+                    {
+                        "id": "2995104339",
+                        "project_id": "2203306141",
+                        "url": "https://todoist.com/showTask?id=2995104339",
+                        "is_completed": False,
+                    }
+                ]
+            },
+        )
+
+    @staticmethod
+    def get_tasks(credentials: TodoistCredentials, **kwargs):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            tasks = api.get_tasks(**kwargs)
+            return [Task.to_dict(task) for task in tasks]
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            task_filters = {
+                "project_id": input_data.project_id,
+                "section_id": input_data.section_id,
+                "label": input_data.label,
+                "filter": input_data.filter,
+                "lang": input_data.lang,
+                "ids": input_data.ids,
+            }
+
+            tasks = self.get_tasks(
+                credentials, **{k: v for k, v in task_filters.items() if v is not None}
+            )
+
+            yield "ids", [task["id"] for task in tasks]
+            yield "urls", [task["url"] for task in tasks]
+            yield "complete_data", tasks
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistGetTaskBlock(Block):
+    """Get an active task from Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        task_id: str = SchemaField(description="Task ID to retrieve")
+
+    class Output(BlockSchema):
+        project_id: str = SchemaField(description="Project ID containing the task")
+        url: str = SchemaField(description="Task URL")
+        complete_data: dict = SchemaField(
+            description="Complete task data as dictionary"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="16d7dc8c-de15-11ef-8ace-32d3674e8b7e",
+            description="Get an active task from Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistGetTaskBlock.Input,
+            output_schema=TodoistGetTaskBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "task_id": "2995104339"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("project_id", "2203306141"),
+                ("url", "https://todoist.com/showTask?id=2995104339"),
+                (
+                    "complete_data",
+                    {
+                        "id": "2995104339",
+                        "project_id": "2203306141",
+                        "url": "https://todoist.com/showTask?id=2995104339",
+                    },
+                ),
+            ],
+            test_mock={
+                "get_task": lambda *args, **kwargs: {
+                    "project_id": "2203306141",
+                    "id": "2995104339",
+                    "url": "https://todoist.com/showTask?id=2995104339",
+                }
+            },
+        )
+
+    @staticmethod
+    def get_task(credentials: TodoistCredentials, task_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            task = api.get_task(task_id=task_id)
+            return Task.to_dict(task)
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            task_data = self.get_task(credentials, input_data.task_id)
+
+            if task_data:
+                yield "project_id", task_data["project_id"]
+                yield "url", task_data["url"]
+                yield "complete_data", task_data
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistUpdateTaskBlock(Block):
+    """Updates an existing task in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        task_id: str = SchemaField(description="Task ID to update")
+        content: str = SchemaField(description="Task content", advanced=False)
+        description: Optional[str] = SchemaField(
+            description="Task description", default=None, advanced=False
+        )
+        project_id: Optional[str] = SchemaField(
+            description="Project ID this task should belong to",
+            default=None,
+            advanced=False,
+        )
+        section_id: Optional[str] = SchemaField(
+            description="Section ID this task should belong to",
+            default=None,
+            advanced=False,
+        )
+        parent_id: Optional[str] = SchemaField(
+            description="Parent task ID", default=None, advanced=True
+        )
+        order: Optional[int] = SchemaField(
+            description="Optional order among other tasks,[Non-zero integer value used by clients to sort tasks under the same parent]",
+            default=None,
+            advanced=True,
+        )
+        labels: Optional[list[str]] = SchemaField(
+            description="Task labels", default=None, advanced=True
+        )
+        priority: Optional[int] = SchemaField(
+            description="Task priority from 1 (normal) to 4 (urgent)",
+            default=None,
+            advanced=True,
+        )
+        due_date: Optional[datetime] = SchemaField(
+            description="Due date in YYYY-MM-DD format", advanced=True, default=None
+        )
+        deadline_date: Optional[datetime] = SchemaField(
+            description="Specific date in YYYY-MM-DD format relative to user's timezone",
+            default=None,
+            advanced=True,
+        )
+        assignee_id: Optional[str] = SchemaField(
+            description="Responsible user ID", default=None, advanced=True
+        )
+        duration_unit: Optional[str] = SchemaField(
+            description="Task duration unit (minute/day)", default=None, advanced=True
+        )
+        duration: Optional[int] = SchemaField(
+            description="Task duration amount, You need to selecct the duration unit first",
+            depends_on=["duration_unit"],
+            default=None,
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the update was successful")
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="1eee6d32-de15-11ef-a2ff-32d3674e8b7e",
+            description="Updates an existing task in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistUpdateTaskBlock.Input,
+            output_schema=TodoistUpdateTaskBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "task_id": "2995104339",
+                "content": "Buy Coffee",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"update_task": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def update_task(credentials: TodoistCredentials, task_id: str, **kwargs):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            is_success = api.update_task(task_id=task_id, **kwargs)
+            return is_success
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            due_date = (
+                input_data.due_date.strftime("%Y-%m-%d")
+                if input_data.due_date
+                else None
+            )
+            deadline_date = (
+                input_data.deadline_date.strftime("%Y-%m-%d")
+                if input_data.deadline_date
+                else None
+            )
+
+            task_updates = {}
+            update_fields = {
+                "content": input_data.content,
+                "description": input_data.description,
+                "project_id": input_data.project_id,
+                "section_id": input_data.section_id,
+                "parent_id": input_data.parent_id,
+                "order": input_data.order,
+                "labels": input_data.labels,
+                "priority": input_data.priority,
+                "due_date": due_date,
+                "deadline_date": deadline_date,
+                "assignee_id": input_data.assignee_id,
+                "duration": input_data.duration,
+                "duration_unit": input_data.duration_unit,
+            }
+
+            # Filter out None values
+            task_updates = {k: v for k, v in update_fields.items() if v is not None}
+
+            self.update_task(
+                credentials,
+                input_data.task_id,
+                **{k: v for k, v in task_updates.items() if v is not None},
+            )
+
+            yield "success", True
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistCloseTaskBlock(Block):
+    """Closes a task in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        task_id: str = SchemaField(description="Task ID to close")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the task was successfully closed"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="29fac798-de15-11ef-b839-32d3674e8b7e",
+            description="Closes a task in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistCloseTaskBlock.Input,
+            output_schema=TodoistCloseTaskBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "task_id": "2995104339"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"close_task": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def close_task(credentials: TodoistCredentials, task_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            is_success = api.close_task(task_id=task_id)
+            return is_success
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            is_success = self.close_task(credentials, input_data.task_id)
+            yield "success", is_success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistReopenTaskBlock(Block):
+    """Reopens a task in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        task_id: str = SchemaField(description="Task ID to reopen")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the task was successfully reopened"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="2e6bf6f8-de15-11ef-ae7c-32d3674e8b7e",
+            description="Reopens a task in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistReopenTaskBlock.Input,
+            output_schema=TodoistReopenTaskBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "task_id": "2995104339"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"reopen_task": lambda *args, **kwargs: (True)},
+        )
+
+    @staticmethod
+    def reopen_task(credentials: TodoistCredentials, task_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            is_success = api.reopen_task(task_id=task_id)
+            return is_success
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            is_success = self.reopen_task(credentials, input_data.task_id)
+            yield "success", is_success
+
+        except Exception as e:
+            yield "error", str(e)
+
+
+class TodoistDeleteTaskBlock(Block):
+    """Deletes a task in Todoist"""
+
+    class Input(BlockSchema):
+        credentials: TodoistCredentialsInput = TodoistCredentialsField([])
+        task_id: str = SchemaField(description="Task ID to delete")
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the task was successfully deleted"
+        )
+        error: str = SchemaField(description="Error message if request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="33c29ada-de15-11ef-bcbb-32d3674e8b7e",
+            description="Deletes a task in Todoist",
+            categories={BlockCategory.PRODUCTIVITY},
+            input_schema=TodoistDeleteTaskBlock.Input,
+            output_schema=TodoistDeleteTaskBlock.Output,
+            disabled=not TODOIST_OAUTH_IS_CONFIGURED,
+            test_input={"credentials": TEST_CREDENTIALS_INPUT, "task_id": "2995104339"},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"delete_task": lambda *args, **kwargs: (True)},
+        )
+
+    @staticmethod
+    def delete_task(credentials: TodoistCredentials, task_id: str):
+        try:
+            api = TodoistAPI(credentials.access_token.get_secret_value())
+            is_success = api.delete_task(task_id=task_id)
+            return is_success
+        except Exception as e:
+            raise e
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TodoistCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            is_success = self.delete_task(credentials, input_data.task_id)
+            yield "success", is_success
+
+        except Exception as e:
+            yield "error", str(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/_auth.py b/autogpt_platform/backend/backend/blocks/twitter/_auth.py
new file mode 100644
index 000000000000..0bff03fa370a
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/_auth.py
@@ -0,0 +1,60 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import (
+    CredentialsField,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+    ProviderName,
+)
+from backend.integrations.oauth.twitter import TwitterOAuthHandler
+from backend.util.settings import Secrets
+
+# --8<-- [start:TwitterOAuthIsConfigured]
+secrets = Secrets()
+TWITTER_OAUTH_IS_CONFIGURED = bool(
+    secrets.twitter_client_id and secrets.twitter_client_secret
+)
+# --8<-- [end:TwitterOAuthIsConfigured]
+
+TwitterCredentials = OAuth2Credentials
+TwitterCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.TWITTER], Literal["oauth2"]
+]
+
+
+# Currently, We are getting all the permission from the Twitter API initally
+# In future, If we need to add incremental permission, we can use these requested_scopes
+def TwitterCredentialsField(scopes: list[str]) -> TwitterCredentialsInput:
+    """
+    Creates a Twitter credentials input on a block.
+
+    Params:
+        scopes: The authorization scopes needed for the block to work.
+    """
+    return CredentialsField(
+        # required_scopes=set(scopes),
+        required_scopes=set(TwitterOAuthHandler.DEFAULT_SCOPES + scopes),
+        description="The Twitter integration requires OAuth2 authentication.",
+    )
+
+
+TEST_CREDENTIALS = OAuth2Credentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="twitter",
+    access_token=SecretStr("mock-twitter-access-token"),
+    refresh_token=SecretStr("mock-twitter-refresh-token"),
+    access_token_expires_at=1234567890,
+    scopes=["tweet.read", "tweet.write", "users.read", "offline.access"],
+    title="Mock Twitter OAuth2 Credentials",
+    username="mock-twitter-username",
+    refresh_token_expires_at=1234567890,
+)
+
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
diff --git a/autogpt_platform/backend/backend/blocks/twitter/_builders.py b/autogpt_platform/backend/backend/blocks/twitter/_builders.py
new file mode 100644
index 000000000000..6dc450c2474f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/_builders.py
@@ -0,0 +1,418 @@
+from datetime import datetime
+from typing import Any, Dict
+
+from backend.blocks.twitter._mappers import (
+    get_backend_expansion,
+    get_backend_field,
+    get_backend_list_expansion,
+    get_backend_list_field,
+    get_backend_media_field,
+    get_backend_place_field,
+    get_backend_poll_field,
+    get_backend_space_expansion,
+    get_backend_space_field,
+    get_backend_user_field,
+)
+from backend.blocks.twitter._types import (  # DMEventFieldFilter,
+    DMEventExpansionFilter,
+    DMEventTypeFilter,
+    DMMediaFieldFilter,
+    DMTweetFieldFilter,
+    ExpansionFilter,
+    ListExpansionsFilter,
+    ListFieldsFilter,
+    SpaceExpansionsFilter,
+    SpaceFieldsFilter,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetReplySettingsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionsFilter,
+)
+
+
+# Common Builder
+class TweetExpansionsBuilder:
+    def __init__(self, param: Dict[str, Any]):
+        self.params: Dict[str, Any] = param
+
+    def add_expansions(self, expansions: ExpansionFilter | None):
+        if expansions:
+            filtered_expansions = [
+                name for name, value in expansions.dict().items() if value is True
+            ]
+
+            if filtered_expansions:
+                self.params["expansions"] = ",".join(
+                    [get_backend_expansion(exp) for exp in filtered_expansions]
+                )
+
+        return self
+
+    def add_media_fields(self, media_fields: TweetMediaFieldsFilter | None):
+        if media_fields:
+            filtered_fields = [
+                name for name, value in media_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["media.fields"] = ",".join(
+                    [get_backend_media_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_place_fields(self, place_fields: TweetPlaceFieldsFilter | None):
+        if place_fields:
+            filtered_fields = [
+                name for name, value in place_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["place.fields"] = ",".join(
+                    [get_backend_place_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_poll_fields(self, poll_fields: TweetPollFieldsFilter | None):
+        if poll_fields:
+            filtered_fields = [
+                name for name, value in poll_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["poll.fields"] = ",".join(
+                    [get_backend_poll_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_tweet_fields(self, tweet_fields: TweetFieldsFilter | None):
+        if tweet_fields:
+            filtered_fields = [
+                name for name, value in tweet_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["tweet.fields"] = ",".join(
+                    [get_backend_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_user_fields(self, user_fields: TweetUserFieldsFilter | None):
+        if user_fields:
+            filtered_fields = [
+                name for name, value in user_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["user.fields"] = ",".join(
+                    [get_backend_user_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def build(self):
+        return self.params
+
+
+class UserExpansionsBuilder:
+    def __init__(self, param: Dict[str, Any]):
+        self.params: Dict[str, Any] = param
+
+    def add_expansions(self, expansions: UserExpansionsFilter | None):
+        if expansions:
+            filtered_expansions = [
+                name for name, value in expansions.dict().items() if value is True
+            ]
+            if filtered_expansions:
+                self.params["expansions"] = ",".join(filtered_expansions)
+        return self
+
+    def add_tweet_fields(self, tweet_fields: TweetFieldsFilter | None):
+        if tweet_fields:
+            filtered_fields = [
+                name for name, value in tweet_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["tweet.fields"] = ",".join(
+                    [get_backend_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_user_fields(self, user_fields: TweetUserFieldsFilter | None):
+        if user_fields:
+            filtered_fields = [
+                name for name, value in user_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["user.fields"] = ",".join(
+                    [get_backend_user_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def build(self):
+        return self.params
+
+
+class ListExpansionsBuilder:
+    def __init__(self, param: Dict[str, Any]):
+        self.params: Dict[str, Any] = param
+
+    def add_expansions(self, expansions: ListExpansionsFilter | None):
+        if expansions:
+            filtered_expansions = [
+                name for name, value in expansions.dict().items() if value is True
+            ]
+            if filtered_expansions:
+                self.params["expansions"] = ",".join(
+                    [get_backend_list_expansion(exp) for exp in filtered_expansions]
+                )
+        return self
+
+    def add_list_fields(self, list_fields: ListFieldsFilter | None):
+        if list_fields:
+            filtered_fields = [
+                name for name, value in list_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["list.fields"] = ",".join(
+                    [get_backend_list_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_user_fields(self, user_fields: TweetUserFieldsFilter | None):
+        if user_fields:
+            filtered_fields = [
+                name for name, value in user_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["user.fields"] = ",".join(
+                    [get_backend_user_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def build(self):
+        return self.params
+
+
+class SpaceExpansionsBuilder:
+    def __init__(self, param: Dict[str, Any]):
+        self.params: Dict[str, Any] = param
+
+    def add_expansions(self, expansions: SpaceExpansionsFilter | None):
+        if expansions:
+            filtered_expansions = [
+                name for name, value in expansions.dict().items() if value is True
+            ]
+            if filtered_expansions:
+                self.params["expansions"] = ",".join(
+                    [get_backend_space_expansion(exp) for exp in filtered_expansions]
+                )
+        return self
+
+    def add_space_fields(self, space_fields: SpaceFieldsFilter | None):
+        if space_fields:
+            filtered_fields = [
+                name for name, value in space_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["space.fields"] = ",".join(
+                    [get_backend_space_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def add_user_fields(self, user_fields: TweetUserFieldsFilter | None):
+        if user_fields:
+            filtered_fields = [
+                name for name, value in user_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["user.fields"] = ",".join(
+                    [get_backend_user_field(field) for field in filtered_fields]
+                )
+        return self
+
+    def build(self):
+        return self.params
+
+
+class TweetDurationBuilder:
+    def __init__(self, param: Dict[str, Any]):
+        self.params: Dict[str, Any] = param
+
+    def add_start_time(self, start_time: datetime | None):
+        if start_time:
+            self.params["start_time"] = start_time
+        return self
+
+    def add_end_time(self, end_time: datetime | None):
+        if end_time:
+            self.params["end_time"] = end_time
+        return self
+
+    def add_since_id(self, since_id: str | None):
+        if since_id:
+            self.params["since_id"] = since_id
+        return self
+
+    def add_until_id(self, until_id: str | None):
+        if until_id:
+            self.params["until_id"] = until_id
+        return self
+
+    def add_sort_order(self, sort_order: str | None):
+        if sort_order:
+            self.params["sort_order"] = sort_order
+        return self
+
+    def build(self):
+        return self.params
+
+
+class DMExpansionsBuilder:
+    def __init__(self, param: Dict[str, Any]):
+        self.params: Dict[str, Any] = param
+
+    def add_expansions(self, expansions: DMEventExpansionFilter):
+        if expansions:
+            filtered_expansions = [
+                name for name, value in expansions.dict().items() if value is True
+            ]
+            if filtered_expansions:
+                self.params["expansions"] = ",".join(filtered_expansions)
+        return self
+
+    def add_event_types(self, event_types: DMEventTypeFilter):
+        if event_types:
+            filtered_types = [
+                name for name, value in event_types.dict().items() if value is True
+            ]
+            if filtered_types:
+                self.params["event_types"] = ",".join(filtered_types)
+        return self
+
+    def add_media_fields(self, media_fields: DMMediaFieldFilter):
+        if media_fields:
+            filtered_fields = [
+                name for name, value in media_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["media.fields"] = ",".join(filtered_fields)
+        return self
+
+    def add_tweet_fields(self, tweet_fields: DMTweetFieldFilter):
+        if tweet_fields:
+            filtered_fields = [
+                name for name, value in tweet_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["tweet.fields"] = ",".join(filtered_fields)
+        return self
+
+    def add_user_fields(self, user_fields: TweetUserFieldsFilter):
+        if user_fields:
+            filtered_fields = [
+                name for name, value in user_fields.dict().items() if value is True
+            ]
+            if filtered_fields:
+                self.params["user.fields"] = ",".join(filtered_fields)
+        return self
+
+    def build(self):
+        return self.params
+
+
+# Specific Builders
+class TweetSearchBuilder:
+    def __init__(self):
+        self.params: Dict[str, Any] = {"user_auth": False}
+
+    def add_query(self, query: str):
+        if query:
+            self.params["query"] = query
+        return self
+
+    def add_pagination(self, max_results: int, pagination: str | None):
+        if max_results:
+            self.params["max_results"] = max_results
+        if pagination:
+            self.params["pagination_token"] = pagination
+        return self
+
+    def build(self):
+        return self.params
+
+
+class TweetPostBuilder:
+    def __init__(self):
+        self.params: Dict[str, Any] = {"user_auth": False}
+
+    def add_text(self, text: str | None):
+        if text:
+            self.params["text"] = text
+        return self
+
+    def add_media(self, media_ids: list, tagged_user_ids: list):
+        if media_ids:
+            self.params["media_ids"] = media_ids
+        if tagged_user_ids:
+            self.params["media_tagged_user_ids"] = tagged_user_ids
+        return self
+
+    def add_deep_link(self, link: str):
+        if link:
+            self.params["direct_message_deep_link"] = link
+        return self
+
+    def add_super_followers(self, for_super_followers: bool):
+        if for_super_followers:
+            self.params["for_super_followers_only"] = for_super_followers
+        return self
+
+    def add_place(self, place_id: str):
+        if place_id:
+            self.params["place_id"] = place_id
+        return self
+
+    def add_poll_options(self, poll_options: list):
+        if poll_options:
+            self.params["poll_options"] = poll_options
+        return self
+
+    def add_poll_duration(self, poll_duration_minutes: int):
+        if poll_duration_minutes:
+            self.params["poll_duration_minutes"] = poll_duration_minutes
+        return self
+
+    def add_quote(self, quote_id: str):
+        if quote_id:
+            self.params["quote_tweet_id"] = quote_id
+        return self
+
+    def add_reply_settings(
+        self,
+        exclude_user_ids: list,
+        reply_to_id: str,
+        settings: TweetReplySettingsFilter,
+    ):
+        if exclude_user_ids:
+            self.params["exclude_reply_user_ids"] = exclude_user_ids
+        if reply_to_id:
+            self.params["in_reply_to_tweet_id"] = reply_to_id
+        if settings.All_Users:
+            self.params["reply_settings"] = None
+        elif settings.Following_Users_Only:
+            self.params["reply_settings"] = "following"
+        elif settings.Mentioned_Users_Only:
+            self.params["reply_settings"] = "mentionedUsers"
+        return self
+
+    def build(self):
+        return self.params
+
+
+class TweetGetsBuilder:
+    def __init__(self):
+        self.params: Dict[str, Any] = {"user_auth": False}
+
+    def add_id(self, tweet_id: list[str]):
+        self.params["id"] = tweet_id
+        return self
+
+    def build(self):
+        return self.params
diff --git a/autogpt_platform/backend/backend/blocks/twitter/_mappers.py b/autogpt_platform/backend/backend/blocks/twitter/_mappers.py
new file mode 100644
index 000000000000..a564174ed0f2
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/_mappers.py
@@ -0,0 +1,234 @@
+# -------------- Tweets -----------------
+
+# Tweet Expansions
+EXPANSION_FRONTEND_TO_BACKEND_MAPPING = {
+    "Poll_IDs": "attachments.poll_ids",
+    "Media_Keys": "attachments.media_keys",
+    "Author_User_ID": "author_id",
+    "Edit_History_Tweet_IDs": "edit_history_tweet_ids",
+    "Mentioned_Usernames": "entities.mentions.username",
+    "Place_ID": "geo.place_id",
+    "Reply_To_User_ID": "in_reply_to_user_id",
+    "Referenced_Tweet_ID": "referenced_tweets.id",
+    "Referenced_Tweet_Author_ID": "referenced_tweets.id.author_id",
+}
+
+
+def get_backend_expansion(frontend_key: str) -> str:
+    result = EXPANSION_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid expansion key: {frontend_key}")
+    return result
+
+
+# TweetReplySettings
+REPLY_SETTINGS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Mentioned_Users_Only": "mentionedUsers",
+    "Following_Users_Only": "following",
+    "All_Users": "all",
+}
+
+
+# TweetUserFields
+def get_backend_reply_setting(frontend_key: str) -> str:
+    result = REPLY_SETTINGS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid reply setting key: {frontend_key}")
+    return result
+
+
+USER_FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Account_Creation_Date": "created_at",
+    "User_Bio": "description",
+    "User_Entities": "entities",
+    "User_ID": "id",
+    "User_Location": "location",
+    "Latest_Tweet_ID": "most_recent_tweet_id",
+    "Display_Name": "name",
+    "Pinned_Tweet_ID": "pinned_tweet_id",
+    "Profile_Picture_URL": "profile_image_url",
+    "Is_Protected_Account": "protected",
+    "Account_Statistics": "public_metrics",
+    "Profile_URL": "url",
+    "Username": "username",
+    "Is_Verified": "verified",
+    "Verification_Type": "verified_type",
+    "Content_Withholding_Info": "withheld",
+}
+
+
+def get_backend_user_field(frontend_key: str) -> str:
+    result = USER_FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid user field key: {frontend_key}")
+    return result
+
+
+# TweetFields
+FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Tweet_Attachments": "attachments",
+    "Author_ID": "author_id",
+    "Context_Annotations": "context_annotations",
+    "Conversation_ID": "conversation_id",
+    "Creation_Time": "created_at",
+    "Edit_Controls": "edit_controls",
+    "Tweet_Entities": "entities",
+    "Geographic_Location": "geo",
+    "Tweet_ID": "id",
+    "Reply_To_User_ID": "in_reply_to_user_id",
+    "Language": "lang",
+    "Public_Metrics": "public_metrics",
+    "Sensitive_Content_Flag": "possibly_sensitive",
+    "Referenced_Tweets": "referenced_tweets",
+    "Reply_Settings": "reply_settings",
+    "Tweet_Source": "source",
+    "Tweet_Text": "text",
+    "Withheld_Content": "withheld",
+}
+
+
+def get_backend_field(frontend_key: str) -> str:
+    result = FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid field key: {frontend_key}")
+    return result
+
+
+# TweetPollFields
+POLL_FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Duration_Minutes": "duration_minutes",
+    "End_DateTime": "end_datetime",
+    "Poll_ID": "id",
+    "Poll_Options": "options",
+    "Voting_Status": "voting_status",
+}
+
+
+def get_backend_poll_field(frontend_key: str) -> str:
+    result = POLL_FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid poll field key: {frontend_key}")
+    return result
+
+
+PLACE_FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Contained_Within_Places": "contained_within",
+    "Country": "country",
+    "Country_Code": "country_code",
+    "Full_Location_Name": "full_name",
+    "Geographic_Coordinates": "geo",
+    "Place_ID": "id",
+    "Place_Name": "name",
+    "Place_Type": "place_type",
+}
+
+
+def get_backend_place_field(frontend_key: str) -> str:
+    result = PLACE_FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid place field key: {frontend_key}")
+    return result
+
+
+# TweetMediaFields
+MEDIA_FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Duration_in_Milliseconds": "duration_ms",
+    "Height": "height",
+    "Media_Key": "media_key",
+    "Preview_Image_URL": "preview_image_url",
+    "Media_Type": "type",
+    "Media_URL": "url",
+    "Width": "width",
+    "Public_Metrics": "public_metrics",
+    "Non_Public_Metrics": "non_public_metrics",
+    "Organic_Metrics": "organic_metrics",
+    "Promoted_Metrics": "promoted_metrics",
+    "Alternative_Text": "alt_text",
+    "Media_Variants": "variants",
+}
+
+
+def get_backend_media_field(frontend_key: str) -> str:
+    result = MEDIA_FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid media field key: {frontend_key}")
+    return result
+
+
+# -------------- Spaces -----------------
+
+# SpaceExpansions
+EXPANSION_FRONTEND_TO_BACKEND_MAPPING_SPACE = {
+    "Invited_Users": "invited_user_ids",
+    "Speakers": "speaker_ids",
+    "Creator": "creator_id",
+    "Hosts": "host_ids",
+    "Topics": "topic_ids",
+}
+
+
+def get_backend_space_expansion(frontend_key: str) -> str:
+    result = EXPANSION_FRONTEND_TO_BACKEND_MAPPING_SPACE.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid expansion key: {frontend_key}")
+    return result
+
+
+# SpaceFields
+SPACE_FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "Space_ID": "id",
+    "Space_State": "state",
+    "Creation_Time": "created_at",
+    "End_Time": "ended_at",
+    "Host_User_IDs": "host_ids",
+    "Language": "lang",
+    "Is_Ticketed": "is_ticketed",
+    "Invited_User_IDs": "invited_user_ids",
+    "Participant_Count": "participant_count",
+    "Subscriber_Count": "subscriber_count",
+    "Scheduled_Start_Time": "scheduled_start",
+    "Speaker_User_IDs": "speaker_ids",
+    "Start_Time": "started_at",
+    "Space_Title": "title",
+    "Topic_IDs": "topic_ids",
+    "Last_Updated_Time": "updated_at",
+}
+
+
+def get_backend_space_field(frontend_key: str) -> str:
+    result = SPACE_FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid space field key: {frontend_key}")
+    return result
+
+
+# -------------- List Expansions -----------------
+
+# ListExpansions
+LIST_EXPANSION_FRONTEND_TO_BACKEND_MAPPING = {"List_Owner_ID": "owner_id"}
+
+
+def get_backend_list_expansion(frontend_key: str) -> str:
+    result = LIST_EXPANSION_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid list expansion key: {frontend_key}")
+    return result
+
+
+LIST_FIELDS_FRONTEND_TO_BACKEND_MAPPING = {
+    "List_ID": "id",
+    "List_Name": "name",
+    "Creation_Date": "created_at",
+    "Description": "description",
+    "Follower_Count": "follower_count",
+    "Member_Count": "member_count",
+    "Is_Private": "private",
+    "Owner_ID": "owner_id",
+}
+
+
+def get_backend_list_field(frontend_key: str) -> str:
+    result = LIST_FIELDS_FRONTEND_TO_BACKEND_MAPPING.get(frontend_key)
+    if result is None:
+        raise KeyError(f"Invalid list field key: {frontend_key}")
+    return result
diff --git a/autogpt_platform/backend/backend/blocks/twitter/_serializer.py b/autogpt_platform/backend/backend/blocks/twitter/_serializer.py
new file mode 100644
index 000000000000..906c52445686
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/_serializer.py
@@ -0,0 +1,76 @@
+from typing import Any, Dict, List
+
+
+class BaseSerializer:
+    @staticmethod
+    def _serialize_value(value: Any) -> Any:
+        """Helper method to serialize individual values"""
+        if hasattr(value, "data"):
+            return value.data
+        return value
+
+
+class IncludesSerializer(BaseSerializer):
+    @classmethod
+    def serialize(cls, includes: Dict[str, Any]) -> Dict[str, Any]:
+        """Serializes the includes dictionary"""
+        if not includes:
+            return {}
+
+        serialized_includes = {}
+        for key, value in includes.items():
+            if isinstance(value, list):
+                serialized_includes[key] = [
+                    cls._serialize_value(item) for item in value
+                ]
+            else:
+                serialized_includes[key] = cls._serialize_value(value)
+
+        return serialized_includes
+
+
+class ResponseDataSerializer(BaseSerializer):
+    @classmethod
+    def serialize_dict(cls, item: Dict[str, Any]) -> Dict[str, Any]:
+        """Serializes a single dictionary item"""
+        serialized_item = {}
+
+        if hasattr(item, "__dict__"):
+            items = item.__dict__.items()
+        else:
+            items = item.items()
+
+        for key, value in items:
+            if isinstance(value, list):
+                serialized_item[key] = [
+                    cls._serialize_value(sub_item) for sub_item in value
+                ]
+            else:
+                serialized_item[key] = cls._serialize_value(value)
+
+        return serialized_item
+
+    @classmethod
+    def serialize_list(cls, data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+        """Serializes a list of dictionary items"""
+        return [cls.serialize_dict(item) for item in data]
+
+
+class ResponseSerializer:
+    @classmethod
+    def serialize(cls, response) -> Dict[str, Any]:
+        """Main serializer that handles both data and includes"""
+        result = {"data": None, "included": {}}
+
+        # Handle response.data
+        if response.data:
+            if isinstance(response.data, list):
+                result["data"] = ResponseDataSerializer.serialize_list(response.data)
+            else:
+                result["data"] = ResponseDataSerializer.serialize_dict(response.data)
+
+        # Handle includes
+        if hasattr(response, "includes") and response.includes:
+            result["included"] = IncludesSerializer.serialize(response.includes)
+
+        return result
diff --git a/autogpt_platform/backend/backend/blocks/twitter/_types.py b/autogpt_platform/backend/backend/blocks/twitter/_types.py
new file mode 100644
index 000000000000..2b404e4f560e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/_types.py
@@ -0,0 +1,443 @@
+from datetime import datetime
+from enum import Enum
+
+from pydantic import BaseModel
+
+from backend.data.block import BlockSchema
+from backend.data.model import SchemaField
+
+# -------------- Tweets -----------------
+
+
+class TweetReplySettingsFilter(BaseModel):
+    Mentioned_Users_Only: bool = False
+    Following_Users_Only: bool = False
+    All_Users: bool = False
+
+
+class TweetUserFieldsFilter(BaseModel):
+    Account_Creation_Date: bool = False
+    User_Bio: bool = False
+    User_Entities: bool = False
+    User_ID: bool = False
+    User_Location: bool = False
+    Latest_Tweet_ID: bool = False
+    Display_Name: bool = False
+    Pinned_Tweet_ID: bool = False
+    Profile_Picture_URL: bool = False
+    Is_Protected_Account: bool = False
+    Account_Statistics: bool = False
+    Profile_URL: bool = False
+    Username: bool = False
+    Is_Verified: bool = False
+    Verification_Type: bool = False
+    Content_Withholding_Info: bool = False
+
+
+class TweetFieldsFilter(BaseModel):
+    Tweet_Attachments: bool = False
+    Author_ID: bool = False
+    Context_Annotations: bool = False
+    Conversation_ID: bool = False
+    Creation_Time: bool = False
+    Edit_Controls: bool = False
+    Tweet_Entities: bool = False
+    Geographic_Location: bool = False
+    Tweet_ID: bool = False
+    Reply_To_User_ID: bool = False
+    Language: bool = False
+    Public_Metrics: bool = False
+    Sensitive_Content_Flag: bool = False
+    Referenced_Tweets: bool = False
+    Reply_Settings: bool = False
+    Tweet_Source: bool = False
+    Tweet_Text: bool = False
+    Withheld_Content: bool = False
+
+
+class PersonalTweetFieldsFilter(BaseModel):
+    attachments: bool = False
+    author_id: bool = False
+    context_annotations: bool = False
+    conversation_id: bool = False
+    created_at: bool = False
+    edit_controls: bool = False
+    entities: bool = False
+    geo: bool = False
+    id: bool = False
+    in_reply_to_user_id: bool = False
+    lang: bool = False
+    non_public_metrics: bool = False
+    public_metrics: bool = False
+    organic_metrics: bool = False
+    promoted_metrics: bool = False
+    possibly_sensitive: bool = False
+    referenced_tweets: bool = False
+    reply_settings: bool = False
+    source: bool = False
+    text: bool = False
+    withheld: bool = False
+
+
+class TweetPollFieldsFilter(BaseModel):
+    Duration_Minutes: bool = False
+    End_DateTime: bool = False
+    Poll_ID: bool = False
+    Poll_Options: bool = False
+    Voting_Status: bool = False
+
+
+class TweetPlaceFieldsFilter(BaseModel):
+    Contained_Within_Places: bool = False
+    Country: bool = False
+    Country_Code: bool = False
+    Full_Location_Name: bool = False
+    Geographic_Coordinates: bool = False
+    Place_ID: bool = False
+    Place_Name: bool = False
+    Place_Type: bool = False
+
+
+class TweetMediaFieldsFilter(BaseModel):
+    Duration_in_Milliseconds: bool = False
+    Height: bool = False
+    Media_Key: bool = False
+    Preview_Image_URL: bool = False
+    Media_Type: bool = False
+    Media_URL: bool = False
+    Width: bool = False
+    Public_Metrics: bool = False
+    Non_Public_Metrics: bool = False
+    Organic_Metrics: bool = False
+    Promoted_Metrics: bool = False
+    Alternative_Text: bool = False
+    Media_Variants: bool = False
+
+
+class ExpansionFilter(BaseModel):
+    Poll_IDs: bool = False
+    Media_Keys: bool = False
+    Author_User_ID: bool = False
+    Edit_History_Tweet_IDs: bool = False
+    Mentioned_Usernames: bool = False
+    Place_ID: bool = False
+    Reply_To_User_ID: bool = False
+    Referenced_Tweet_ID: bool = False
+    Referenced_Tweet_Author_ID: bool = False
+
+
+class TweetExcludesFilter(BaseModel):
+    retweets: bool = False
+    replies: bool = False
+
+
+# -------------- Users -----------------
+
+
+class UserExpansionsFilter(BaseModel):
+    pinned_tweet_id: bool = False
+
+
+# -------------- DM's' -----------------
+
+
+class DMEventFieldFilter(BaseModel):
+    id: bool = False
+    text: bool = False
+    event_type: bool = False
+    created_at: bool = False
+    dm_conversation_id: bool = False
+    sender_id: bool = False
+    participant_ids: bool = False
+    referenced_tweets: bool = False
+    attachments: bool = False
+
+
+class DMEventTypeFilter(BaseModel):
+    MessageCreate: bool = False
+    ParticipantsJoin: bool = False
+    ParticipantsLeave: bool = False
+
+
+class DMEventExpansionFilter(BaseModel):
+    attachments_media_keys: bool = False
+    referenced_tweets_id: bool = False
+    sender_id: bool = False
+    participant_ids: bool = False
+
+
+class DMMediaFieldFilter(BaseModel):
+    duration_ms: bool = False
+    height: bool = False
+    media_key: bool = False
+    preview_image_url: bool = False
+    type: bool = False
+    url: bool = False
+    width: bool = False
+    public_metrics: bool = False
+    alt_text: bool = False
+    variants: bool = False
+
+
+class DMTweetFieldFilter(BaseModel):
+    attachments: bool = False
+    author_id: bool = False
+    context_annotations: bool = False
+    conversation_id: bool = False
+    created_at: bool = False
+    edit_controls: bool = False
+    entities: bool = False
+    geo: bool = False
+    id: bool = False
+    in_reply_to_user_id: bool = False
+    lang: bool = False
+    public_metrics: bool = False
+    possibly_sensitive: bool = False
+    referenced_tweets: bool = False
+    reply_settings: bool = False
+    source: bool = False
+    text: bool = False
+    withheld: bool = False
+
+
+# -------------- Spaces -----------------
+
+
+class SpaceExpansionsFilter(BaseModel):
+    Invited_Users: bool = False
+    Speakers: bool = False
+    Creator: bool = False
+    Hosts: bool = False
+    Topics: bool = False
+
+
+class SpaceFieldsFilter(BaseModel):
+    Space_ID: bool = False
+    Space_State: bool = False
+    Creation_Time: bool = False
+    End_Time: bool = False
+    Host_User_IDs: bool = False
+    Language: bool = False
+    Is_Ticketed: bool = False
+    Invited_User_IDs: bool = False
+    Participant_Count: bool = False
+    Subscriber_Count: bool = False
+    Scheduled_Start_Time: bool = False
+    Speaker_User_IDs: bool = False
+    Start_Time: bool = False
+    Space_Title: bool = False
+    Topic_IDs: bool = False
+    Last_Updated_Time: bool = False
+
+
+class SpaceStatesFilter(str, Enum):
+    live = "live"
+    scheduled = "scheduled"
+    all = "all"
+
+
+# -------------- List Expansions -----------------
+
+
+class ListExpansionsFilter(BaseModel):
+    List_Owner_ID: bool = False
+
+
+class ListFieldsFilter(BaseModel):
+    List_ID: bool = False
+    List_Name: bool = False
+    Creation_Date: bool = False
+    Description: bool = False
+    Follower_Count: bool = False
+    Member_Count: bool = False
+    Is_Private: bool = False
+    Owner_ID: bool = False
+
+
+# ---------  [Input Types] -------------
+class TweetExpansionInputs(BlockSchema):
+
+    expansions: ExpansionFilter | None = SchemaField(
+        description="Choose what extra information you want to get with your tweets. For example:\n- Select 'Media_Keys' to get media details\n- Select 'Author_User_ID' to get user information\n- Select 'Place_ID' to get location details",
+        placeholder="Pick the extra information you want to see",
+        default=None,
+        advanced=True,
+    )
+
+    media_fields: TweetMediaFieldsFilter | None = SchemaField(
+        description="Select what media information you want to see (images, videos, etc). To use this, you must first select 'Media_Keys' in the expansions above.",
+        placeholder="Choose what media details you want to see",
+        default=None,
+        advanced=True,
+    )
+
+    place_fields: TweetPlaceFieldsFilter | None = SchemaField(
+        description="Select what location information you want to see (country, coordinates, etc). To use this, you must first select 'Place_ID' in the expansions above.",
+        placeholder="Choose what location details you want to see",
+        default=None,
+        advanced=True,
+    )
+
+    poll_fields: TweetPollFieldsFilter | None = SchemaField(
+        description="Select what poll information you want to see (options, voting status, etc). To use this, you must first select 'Poll_IDs' in the expansions above.",
+        placeholder="Choose what poll details you want to see",
+        default=None,
+        advanced=True,
+    )
+
+    tweet_fields: TweetFieldsFilter | None = SchemaField(
+        description="Select what tweet information you want to see. For referenced tweets (like retweets), select 'Referenced_Tweet_ID' in the expansions above.",
+        placeholder="Choose what tweet details you want to see",
+        default=None,
+        advanced=True,
+    )
+
+    user_fields: TweetUserFieldsFilter | None = SchemaField(
+        description="Select what user information you want to see. To use this, you must first select one of these in expansions above:\n- 'Author_User_ID' for tweet authors\n- 'Mentioned_Usernames' for mentioned users\n- 'Reply_To_User_ID' for users being replied to\n- 'Referenced_Tweet_Author_ID' for authors of referenced tweets",
+        placeholder="Choose what user details you want to see",
+        default=None,
+        advanced=True,
+    )
+
+
+class DMEventExpansionInputs(BlockSchema):
+    expansions: DMEventExpansionFilter | None = SchemaField(
+        description="Select expansions to include related data objects in the 'includes' section.",
+        placeholder="Enter expansions",
+        default=None,
+        advanced=True,
+    )
+
+    event_types: DMEventTypeFilter | None = SchemaField(
+        description="Select DM event types to include in the response.",
+        placeholder="Enter event types",
+        default=None,
+        advanced=True,
+    )
+
+    media_fields: DMMediaFieldFilter | None = SchemaField(
+        description="Select media fields to include in the response (requires expansions=attachments.media_keys).",
+        placeholder="Enter media fields",
+        default=None,
+        advanced=True,
+    )
+
+    tweet_fields: DMTweetFieldFilter | None = SchemaField(
+        description="Select tweet fields to include in the response (requires expansions=referenced_tweets.id).",
+        placeholder="Enter tweet fields",
+        default=None,
+        advanced=True,
+    )
+
+    user_fields: TweetUserFieldsFilter | None = SchemaField(
+        description="Select user fields to include in the response (requires expansions=sender_id or participant_ids).",
+        placeholder="Enter user fields",
+        default=None,
+        advanced=True,
+    )
+
+
+class UserExpansionInputs(BlockSchema):
+    expansions: UserExpansionsFilter | None = SchemaField(
+        description="Choose what extra information you want to get with user data. Currently only 'pinned_tweet_id' is available to see a user's pinned tweet.",
+        placeholder="Select extra user information to include",
+        default=None,
+        advanced=True,
+    )
+
+    tweet_fields: TweetFieldsFilter | None = SchemaField(
+        description="Select what tweet information you want to see in pinned tweets. This only works if you select 'pinned_tweet_id' in expansions above.",
+        placeholder="Choose what details to see in pinned tweets",
+        default=None,
+        advanced=True,
+    )
+
+    user_fields: TweetUserFieldsFilter | None = SchemaField(
+        description="Select what user information you want to see, like username, bio, profile picture, etc.",
+        placeholder="Choose what user details you want to see",
+        default=None,
+        advanced=True,
+    )
+
+
+class SpaceExpansionInputs(BlockSchema):
+    expansions: SpaceExpansionsFilter | None = SchemaField(
+        description="Choose additional information you want to get with your Twitter Spaces:\n- Select 'Invited_Users' to see who was invited\n- Select 'Speakers' to see who can speak\n- Select 'Creator' to get details about who made the Space\n- Select 'Hosts' to see who's hosting\n- Select 'Topics' to see Space topics",
+        placeholder="Pick what extra information you want to see about the Space",
+        default=None,
+        advanced=True,
+    )
+
+    space_fields: SpaceFieldsFilter | None = SchemaField(
+        description="Choose what Space details you want to see, such as:\n- Title\n- Start/End times\n- Number of participants\n- Language\n- State (live/scheduled)\n- And more",
+        placeholder="Choose what Space information you want to get",
+        default=SpaceFieldsFilter(Space_Title=True, Host_User_IDs=True),
+        advanced=True,
+    )
+
+    user_fields: TweetUserFieldsFilter | None = SchemaField(
+        description="Choose what user information you want to see. This works when you select any of these in expansions above:\n- 'Creator' for Space creator details\n- 'Hosts' for host information\n- 'Speakers' for speaker details\n- 'Invited_Users' for invited user information",
+        placeholder="Pick what details you want to see about the users",
+        default=None,
+        advanced=True,
+    )
+
+
+class ListExpansionInputs(BlockSchema):
+    expansions: ListExpansionsFilter | None = SchemaField(
+        description="Choose what extra information you want to get with your Twitter Lists:\n- Select 'List_Owner_ID' to get details about who owns the list\n\nThis will let you see more details about the list owner when you also select user fields below.",
+        placeholder="Pick what extra list information you want to see",
+        default=ListExpansionsFilter(List_Owner_ID=True),
+        advanced=True,
+    )
+
+    user_fields: TweetUserFieldsFilter | None = SchemaField(
+        description="Choose what information you want to see about list owners. This only works when you select 'List_Owner_ID' in expansions above.\n\nYou can see things like:\n- Their username\n- Profile picture\n- Account details\n- And more",
+        placeholder="Select what details you want to see about list owners",
+        default=TweetUserFieldsFilter(User_ID=True, Username=True),
+        advanced=True,
+    )
+
+    list_fields: ListFieldsFilter | None = SchemaField(
+        description="Choose what information you want to see about the Twitter Lists themselves, such as:\n- List name\n- Description\n- Number of followers\n- Number of members\n- Whether it's private\n- Creation date\n- And more",
+        placeholder="Pick what list details you want to see",
+        default=ListFieldsFilter(Owner_ID=True),
+        advanced=True,
+    )
+
+
+class TweetTimeWindowInputs(BlockSchema):
+    start_time: datetime | None = SchemaField(
+        description="Start time in YYYY-MM-DDTHH:mm:ssZ format",
+        placeholder="Enter start time",
+        default=None,
+        advanced=False,
+    )
+
+    end_time: datetime | None = SchemaField(
+        description="End time in YYYY-MM-DDTHH:mm:ssZ format",
+        placeholder="Enter end time",
+        default=None,
+        advanced=False,
+    )
+
+    since_id: str | None = SchemaField(
+        description="Returns results with Tweet ID  greater than this (more recent than), we give priority to since_id over start_time",
+        placeholder="Enter since ID",
+        default=None,
+        advanced=True,
+    )
+
+    until_id: str | None = SchemaField(
+        description="Returns results with Tweet ID less than this (that is, older than), and used with since_id",
+        placeholder="Enter until ID",
+        default=None,
+        advanced=True,
+    )
+
+    sort_order: str | None = SchemaField(
+        description="Order of returned tweets (recency or relevancy)",
+        placeholder="Enter sort order",
+        default=None,
+        advanced=True,
+    )
diff --git a/autogpt_platform/backend/backend/blocks/twitter/direct_message/direct_message_lookup.py b/autogpt_platform/backend/backend/blocks/twitter/direct_message/direct_message_lookup.py
new file mode 100644
index 000000000000..99c5bcab791b
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/direct_message/direct_message_lookup.py
@@ -0,0 +1,201 @@
+# Todo : Add new Type support, and disable block if it's Oauth is not configured
+
+# from typing import cast
+# import tweepy
+# from tweepy.client import Response
+
+# from backend.blocks.twitter._serializer import IncludesSerializer, ResponseDataSerializer
+# from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+# from backend.data.model import SchemaField
+# from backend.blocks.twitter._builders import DMExpansionsBuilder
+# from backend.blocks.twitter._types import DMEventExpansion, DMEventExpansionInputs, DMEventType, DMMediaField, DMTweetField, TweetUserFields
+# from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+# from backend.blocks.twitter._auth import (
+#     TEST_CREDENTIALS,
+#     TEST_CREDENTIALS_INPUT,
+#     TwitterCredentials,
+#     TwitterCredentialsField,
+#     TwitterCredentialsInput,
+# )
+
+# Require Pro or Enterprise plan [Manual Testing Required]
+# class TwitterGetDMEventsBlock(Block):
+#     """
+#     Gets a list of Direct Message events for the authenticated user
+#     """
+
+#     class Input(DMEventExpansionInputs):
+#         credentials: TwitterCredentialsInput = TwitterCredentialsField(
+#             ["dm.read", "offline.access", "user.read", "tweet.read"]
+#         )
+
+#         dm_conversation_id: str = SchemaField(
+#             description="The ID of the Direct Message conversation",
+#             placeholder="Enter conversation ID",
+#             required=True
+#         )
+
+#         max_results: int = SchemaField(
+#             description="Maximum number of results to return (1-100)",
+#             placeholder="Enter max results",
+#             advanced=True,
+#             default=10,
+#         )
+
+#         pagination_token: str = SchemaField(
+#             description="Token for pagination",
+#             placeholder="Enter pagination token",
+#             advanced=True,
+#             default=""
+#         )
+
+#     class Output(BlockSchema):
+#         # Common outputs
+#         event_ids: list[str] = SchemaField(description="DM Event IDs")
+#         event_texts: list[str] = SchemaField(description="DM Event text contents")
+#         event_types: list[str] = SchemaField(description="Types of DM events")
+#         next_token: str = SchemaField(description="Token for next page of results")
+
+#         # Complete outputs
+#         data: list[dict] = SchemaField(description="Complete DM events data")
+#         included: dict = SchemaField(description="Additional data requested via expansions")
+#         meta: dict = SchemaField(description="Metadata about the response")
+#         error: str = SchemaField(description="Error message if request failed")
+
+#     def __init__(self):
+#         super().__init__(
+#             id="dc37a6d4-a62e-11ef-a3a5-03061375737b",
+#             description="This block retrieves Direct Message events for the authenticated user.",
+#             categories={BlockCategory.SOCIAL},
+#             input_schema=TwitterGetDMEventsBlock.Input,
+#             output_schema=TwitterGetDMEventsBlock.Output,
+#             test_input={
+#                 "dm_conversation_id": "1234567890",
+#                 "max_results": 10,
+#                 "credentials": TEST_CREDENTIALS_INPUT,
+#                 "expansions": [],
+#                 "event_types": [],
+#                 "media_fields": [],
+#                 "tweet_fields": [],
+#                 "user_fields": []
+#             },
+#             test_credentials=TEST_CREDENTIALS,
+#             test_output=[
+#                 ("event_ids", ["1346889436626259968"]),
+#                 ("event_texts", ["Hello just you..."]),
+#                 ("event_types", ["MessageCreate"]),
+#                 ("next_token", None),
+#                 ("data", [{"id": "1346889436626259968", "text": "Hello just you...", "event_type": "MessageCreate"}]),
+#                 ("included", {}),
+#                 ("meta", {}),
+#                 ("error", "")
+#             ],
+#             test_mock={
+#                 "get_dm_events": lambda *args, **kwargs: (
+#                     [{"id": "1346889436626259968", "text": "Hello just you...", "event_type": "MessageCreate"}],
+#                     {},
+#                     {},
+#                     ["1346889436626259968"],
+#                     ["Hello just you..."],
+#                     ["MessageCreate"],
+#                     None
+#                 )
+#             }
+#         )
+
+#     @staticmethod
+#     def get_dm_events(
+#         credentials: TwitterCredentials,
+#         dm_conversation_id: str,
+#         max_results: int,
+#         pagination_token: str,
+#         expansions: list[DMEventExpansion],
+#         event_types: list[DMEventType],
+#         media_fields: list[DMMediaField],
+#         tweet_fields: list[DMTweetField],
+#         user_fields: list[TweetUserFields]
+#     ):
+#         try:
+#             client = tweepy.Client(
+#                 bearer_token=credentials.access_token.get_secret_value()
+#             )
+
+#             params = {
+#                 "dm_conversation_id": dm_conversation_id,
+#                 "max_results": max_results,
+#                 "pagination_token": None if pagination_token == "" else pagination_token,
+#                 "user_auth": False
+#             }
+
+#             params = (DMExpansionsBuilder(params)
+#                      .add_expansions(expansions)
+#                      .add_event_types(event_types)
+#                      .add_media_fields(media_fields)
+#                      .add_tweet_fields(tweet_fields)
+#                      .add_user_fields(user_fields)
+#                      .build())
+
+#             response = cast(Response, client.get_direct_message_events(**params))
+
+#             meta = {}
+#             event_ids = []
+#             event_texts = []
+#             event_types = []
+#             next_token = None
+
+#             if response.meta:
+#                 meta = response.meta
+#                 next_token = meta.get("next_token")
+
+#             included = IncludesSerializer.serialize(response.includes)
+#             data = ResponseDataSerializer.serialize_list(response.data)
+
+#             if response.data:
+#                 event_ids = [str(item.id) for item in response.data]
+#                 event_texts = [item.text if hasattr(item, "text") else None for item in response.data]
+#                 event_types = [item.event_type for item in response.data]
+
+#                 return data, included, meta, event_ids, event_texts, event_types, next_token
+
+#             raise Exception("No DM events found")
+
+#         except tweepy.TweepyException:
+#             raise
+
+#     async def run(
+#         self,
+#         input_data: Input,
+#         *,
+#         credentials: TwitterCredentials,
+#         **kwargs,
+#     ) -> BlockOutput:
+#         try:
+#             event_data, included, meta, event_ids, event_texts, event_types, next_token = self.get_dm_events(
+#                 credentials,
+#                 input_data.dm_conversation_id,
+#                 input_data.max_results,
+#                 input_data.pagination_token,
+#                 input_data.expansions,
+#                 input_data.event_types,
+#                 input_data.media_fields,
+#                 input_data.tweet_fields,
+#                 input_data.user_fields
+#             )
+
+#             if event_ids:
+#                 yield "event_ids", event_ids
+#             if event_texts:
+#                 yield "event_texts", event_texts
+#             if event_types:
+#                 yield "event_types", event_types
+#             if next_token:
+#                 yield "next_token", next_token
+#             if event_data:
+#                 yield "data", event_data
+#             if included:
+#                 yield "included", included
+#             if meta:
+#                 yield "meta", meta
+
+#         except Exception as e:
+#             yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/direct_message/manage_direct_message.py b/autogpt_platform/backend/backend/blocks/twitter/direct_message/manage_direct_message.py
new file mode 100644
index 000000000000..19fdb2819fa9
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/direct_message/manage_direct_message.py
@@ -0,0 +1,260 @@
+# Todo : Add new Type support, and disable block if it's Oauth is not configured
+
+# from typing import cast
+
+# import tweepy
+# from tweepy.client import Response
+
+# from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+# from backend.data.model import SchemaField
+# from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+# from backend.blocks.twitter._auth import (
+#     TEST_CREDENTIALS,
+#     TEST_CREDENTIALS_INPUT,
+#     TwitterCredentials,
+#     TwitterCredentialsField,
+#     TwitterCredentialsInput,
+# )
+
+# Pro and Enterprise plan [Manual Testing Required]
+# class TwitterSendDirectMessageBlock(Block):
+#     """
+#     Sends a direct message to a Twitter user
+#     """
+
+#     class Input(BlockSchema):
+#         credentials: TwitterCredentialsInput = TwitterCredentialsField(
+#             ["offline.access", "direct_messages.write"]
+#         )
+
+#         participant_id: str = SchemaField(
+#             description="The User ID of the account to send DM to",
+#             placeholder="Enter recipient user ID",
+#             default="",
+#             advanced=False
+#         )
+
+#         dm_conversation_id: str = SchemaField(
+#             description="The conversation ID to send message to",
+#             placeholder="Enter conversation ID",
+#             default="",
+#             advanced=False
+#         )
+
+#         text: str = SchemaField(
+#             description="Text of the Direct Message (up to 10,000 characters)",
+#             placeholder="Enter message text",
+#             default="",
+#             advanced=False
+#         )
+
+#         media_id: str = SchemaField(
+#             description="Media ID to attach to the message",
+#             placeholder="Enter media ID",
+#             default=""
+#         )
+
+#     class Output(BlockSchema):
+#         dm_event_id: str = SchemaField(description="ID of the sent direct message")
+#         dm_conversation_id_: str = SchemaField(description="ID of the conversation")
+#         error: str = SchemaField(description="Error message if sending failed")
+
+#     def __init__(self):
+#         super().__init__(
+#             id="f32f2786-a62e-11ef-a93d-a3ef199dde7f",
+#             description="This block sends a direct message to a specified Twitter user.",
+#             categories={BlockCategory.SOCIAL},
+#             input_schema=TwitterSendDirectMessageBlock.Input,
+#             output_schema=TwitterSendDirectMessageBlock.Output,
+#             test_input={
+#                 "participant_id": "783214",
+#                 "dm_conversation_id": "",
+#                 "text": "Hello from Twitter API",
+#                 "media_id": "",
+#                 "credentials": TEST_CREDENTIALS_INPUT
+#             },
+#             test_credentials=TEST_CREDENTIALS,
+#             test_output=[
+#                 ("dm_event_id", "0987654321"),
+#                 ("dm_conversation_id_", "1234567890"),
+#                 ("error", "")
+#             ],
+#             test_mock={
+#                 "send_direct_message": lambda *args, **kwargs: (
+#                     "0987654321",
+#                     "1234567890"
+#                 )
+#             },
+#         )
+
+#     @staticmethod
+#     def send_direct_message(
+#         credentials: TwitterCredentials,
+#         participant_id: str,
+#         dm_conversation_id: str,
+#         text: str,
+#         media_id: str
+#     ):
+#         try:
+#             client = tweepy.Client(
+#                 bearer_token=credentials.access_token.get_secret_value()
+#             )
+
+#             response = cast(
+#                 Response,
+#                 client.create_direct_message(
+#                     participant_id=None if participant_id == "" else participant_id,
+#                     dm_conversation_id=None if dm_conversation_id == "" else dm_conversation_id,
+#                     text=None if text == "" else text,
+#                     media_id=None if media_id == "" else media_id,
+#                     user_auth=False
+#                 )
+#             )
+
+#             if not response.data:
+#                 raise Exception("Failed to send direct message")
+
+#             return response.data["dm_event_id"], response.data["dm_conversation_id"]
+
+#         except tweepy.TweepyException:
+#             raise
+#         except Exception as e:
+#             print(f"Unexpected error: {str(e)}")
+#             raise
+
+#     async def run(
+#         self,
+#         input_data: Input,
+#         *,
+#         credentials: TwitterCredentials,
+#         **kwargs,
+#     ) -> BlockOutput:
+#         try:
+#             dm_event_id, dm_conversation_id = self.send_direct_message(
+#                 credentials,
+#                 input_data.participant_id,
+#                 input_data.dm_conversation_id,
+#                 input_data.text,
+#                 input_data.media_id
+#             )
+#             yield "dm_event_id", dm_event_id
+#             yield "dm_conversation_id", dm_conversation_id
+
+#         except Exception as e:
+#             yield "error", handle_tweepy_exception(e)
+
+# class TwitterCreateDMConversationBlock(Block):
+#     """
+#     Creates a new group direct message conversation on Twitter
+#     """
+
+#     class Input(BlockSchema):
+#         credentials: TwitterCredentialsInput = TwitterCredentialsField(
+#             ["offline.access", "dm.write","dm.read","tweet.read","user.read"]
+#         )
+
+#         participant_ids: list[str] = SchemaField(
+#             description="Array of User IDs to create conversation with (max 50)",
+#             placeholder="Enter participant user IDs",
+#             default_factory=list,
+#             advanced=False
+#         )
+
+#         text: str = SchemaField(
+#             description="Text of the Direct Message (up to 10,000 characters)",
+#             placeholder="Enter message text",
+#             default="",
+#             advanced=False
+#         )
+
+#         media_id: str = SchemaField(
+#             description="Media ID to attach to the message",
+#             placeholder="Enter media ID",
+#             default="",
+#             advanced=False
+#         )
+
+#     class Output(BlockSchema):
+#         dm_event_id: str = SchemaField(description="ID of the sent direct message")
+#         dm_conversation_id: str = SchemaField(description="ID of the conversation")
+#         error: str = SchemaField(description="Error message if sending failed")
+
+#     def __init__(self):
+#         super().__init__(
+#             id="ec11cabc-a62e-11ef-8c0e-3fe37ba2ec92",
+#             description="This block creates a new group DM conversation with specified Twitter users.",
+#             categories={BlockCategory.SOCIAL},
+#             input_schema=TwitterCreateDMConversationBlock.Input,
+#             output_schema=TwitterCreateDMConversationBlock.Output,
+#             test_input={
+#                 "participant_ids": ["783214", "2244994945"],
+#                 "text": "Hello from Twitter API",
+#                 "media_id": "",
+#                 "credentials": TEST_CREDENTIALS_INPUT
+#             },
+#             test_credentials=TEST_CREDENTIALS,
+#             test_output=[
+#                 ("dm_event_id", "0987654321"),
+#                 ("dm_conversation_id", "1234567890"),
+#                 ("error", "")
+#             ],
+#             test_mock={
+#                 "create_dm_conversation": lambda *args, **kwargs: (
+#                     "0987654321",
+#                     "1234567890"
+#                 )
+#             },
+#         )
+
+#     @staticmethod
+#     def create_dm_conversation(
+#         credentials: TwitterCredentials,
+#         participant_ids: list[str],
+#         text: str,
+#         media_id: str
+#     ):
+#         try:
+#             client = tweepy.Client(
+#                 bearer_token=credentials.access_token.get_secret_value()
+#             )
+
+#             response = cast(
+#                 Response,
+#                 client.create_direct_message_conversation(
+#                     participant_ids=participant_ids,
+#                     text=None if text == "" else text,
+#                     media_id=None if media_id == "" else media_id,
+#                     user_auth=False
+#                 )
+#             )
+
+#             if not response.data:
+#                 raise Exception("Failed to create DM conversation")
+
+#             return response.data["dm_event_id"], response.data["dm_conversation_id"]
+
+#         except tweepy.TweepyException:
+#             raise
+#         except Exception as e:
+#             print(f"Unexpected error: {str(e)}")
+#             raise
+
+#     async def run(
+#         self,
+#         input_data: Input,
+#         *,
+#         credentials: TwitterCredentials,
+#         **kwargs,
+#     ) -> BlockOutput:
+#         try:
+#             dm_event_id, dm_conversation_id = self.create_dm_conversation(
+#                 credentials,
+#                 input_data.participant_ids,
+#                 input_data.text,
+#                 input_data.media_id
+#             )
+#             yield "dm_event_id", dm_event_id
+#             yield "dm_conversation_id", dm_conversation_id
+
+#         except Exception as e:
+#             yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/lists/list_follows.py b/autogpt_platform/backend/backend/blocks/twitter/lists/list_follows.py
new file mode 100644
index 000000000000..62c6c05f0c22
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/lists/list_follows.py
@@ -0,0 +1,473 @@
+# from typing import cast
+import tweepy
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+
+# from backend.blocks.twitter._builders import UserExpansionsBuilder
+# from backend.blocks.twitter._types import TweetFields, TweetUserFields, UserExpansionInputs, UserExpansions
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+# from tweepy.client import Response
+
+
+class TwitterUnfollowListBlock(Block):
+    """
+    Unfollows a Twitter list for the authenticated user
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["follows.write", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to unfollow",
+            placeholder="Enter list ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the unfollow was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="1f43310a-a62f-11ef-8276-2b06a1bbae1a",
+            description="This block unfollows a specified Twitter list for the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUnfollowListBlock.Input,
+            output_schema=TwitterUnfollowListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={"list_id": "123456789", "credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"unfollow_list": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def unfollow_list(credentials: TwitterCredentials, list_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unfollow_list(list_id=list_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.unfollow_list(credentials, input_data.list_id)
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterFollowListBlock(Block):
+    """
+    Follows a Twitter list for the authenticated user
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "list.write", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to follow",
+            placeholder="Enter list ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the follow was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="03d8acf6-a62f-11ef-b17f-b72b04a09e79",
+            description="This block follows a specified Twitter list for the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterFollowListBlock.Input,
+            output_schema=TwitterFollowListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={"list_id": "123456789", "credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"follow_list": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def follow_list(credentials: TwitterCredentials, list_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.follow_list(list_id=list_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.follow_list(credentials, input_data.list_id)
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+# Enterprise Level [Need to do Manual testing], There is a high possibility that we might get error in this
+# Needs Type Input in this
+
+# class TwitterListGetFollowersBlock(Block):
+#     """
+#     Gets followers of a specified Twitter list
+#     """
+
+#     class Input(UserExpansionInputs):
+#         credentials: TwitterCredentialsInput = TwitterCredentialsField(
+#             ["tweet.read","users.read", "list.read", "offline.access"]
+#         )
+
+#         list_id: str = SchemaField(
+#             description="The ID of the List to get followers for",
+#             placeholder="Enter list ID",
+#             required=True
+#         )
+
+#         max_results: int = SchemaField(
+#             description="Max number of results per page (1-100)",
+#             placeholder="Enter max results",
+#             default=10,
+#             advanced=True,
+#         )
+
+#         pagination_token: str = SchemaField(
+#             description="Token for pagination",
+#             placeholder="Enter pagination token",
+#             default="",
+#             advanced=True,
+#         )
+
+#     class Output(BlockSchema):
+#         user_ids: list[str] = SchemaField(description="List of user IDs of followers")
+#         usernames: list[str] = SchemaField(description="List of usernames of followers")
+#         next_token: str = SchemaField(description="Token for next page of results")
+#         data: list[dict] = SchemaField(description="Complete follower data")
+#         included: dict = SchemaField(description="Additional data requested via expansions")
+#         meta: dict = SchemaField(description="Metadata about the response")
+#         error: str = SchemaField(description="Error message if the request failed")
+
+#     def __init__(self):
+#         super().__init__(
+#             id="16b289b4-a62f-11ef-95d4-bb29b849eb99",
+#             description="This block retrieves followers of a specified Twitter list.",
+#             categories={BlockCategory.SOCIAL},
+#             input_schema=TwitterListGetFollowersBlock.Input,
+#             output_schema=TwitterListGetFollowersBlock.Output,
+#             test_input={
+#                 "list_id": "123456789",
+#                 "max_results": 10,
+#                 "pagination_token": None,
+#                 "credentials": TEST_CREDENTIALS_INPUT,
+#                 "expansions": [],
+#                 "tweet_fields": [],
+#                 "user_fields": []
+#             },
+#             test_credentials=TEST_CREDENTIALS,
+#             test_output=[
+#                 ("user_ids", ["2244994945"]),
+#                 ("usernames", ["testuser"]),
+#                 ("next_token", None),
+#                 ("data", {"followers": [{"id": "2244994945", "username": "testuser"}]}),
+#                 ("included", {}),
+#                 ("meta", {}),
+#                 ("error", "")
+#             ],
+#             test_mock={
+#                 "get_list_followers": lambda *args, **kwargs: ({
+#                     "followers": [{"id": "2244994945", "username": "testuser"}]
+#                 }, {}, {}, ["2244994945"], ["testuser"], None)
+#             }
+#         )
+
+#     @staticmethod
+#     def get_list_followers(
+#         credentials: TwitterCredentials,
+#         list_id: str,
+#         max_results: int,
+#         pagination_token: str,
+#         expansions: list[UserExpansions],
+#         tweet_fields: list[TweetFields],
+#         user_fields: list[TweetUserFields]
+#     ):
+#         try:
+#             client = tweepy.Client(
+#                 bearer_token=credentials.access_token.get_secret_value(),
+#             )
+
+#             params = {
+#                 "id": list_id,
+#                 "max_results": max_results,
+#                 "pagination_token": None if pagination_token == "" else pagination_token,
+#                 "user_auth": False
+#             }
+
+#             params = (UserExpansionsBuilder(params)
+#                     .add_expansions(expansions)
+#                     .add_tweet_fields(tweet_fields)
+#                     .add_user_fields(user_fields)
+#                     .build())
+
+#             response = cast(
+#                 Response,
+#                 client.get_list_followers(**params)
+#             )
+
+#             meta = {}
+#             user_ids = []
+#             usernames = []
+#             next_token = None
+
+#             if response.meta:
+#                 meta = response.meta
+#                 next_token = meta.get("next_token")
+
+#             included = IncludesSerializer.serialize(response.includes)
+#             data = ResponseDataSerializer.serialize_list(response.data)
+
+#             if response.data:
+#                 user_ids = [str(item.id) for item in response.data]
+#                 usernames = [item.username for item in response.data]
+
+#                 return data, included, meta, user_ids, usernames, next_token
+
+#             raise Exception("No followers found")
+
+#         except tweepy.TweepyException:
+#             raise
+
+#     async def run(
+#         self,
+#         input_data: Input,
+#         *,
+#         credentials: TwitterCredentials,
+#         **kwargs,
+#     ) -> BlockOutput:
+#         try:
+#             followers_data, included, meta, user_ids, usernames, next_token = self.get_list_followers(
+#                 credentials,
+#                 input_data.list_id,
+#                 input_data.max_results,
+#                 input_data.pagination_token,
+#                 input_data.expansions,
+#                 input_data.tweet_fields,
+#                 input_data.user_fields
+#             )
+
+#             if user_ids:
+#                 yield "user_ids", user_ids
+#             if usernames:
+#                 yield "usernames", usernames
+#             if next_token:
+#                 yield "next_token", next_token
+#             if followers_data:
+#                 yield "data", followers_data
+#             if included:
+#                 yield "included", included
+#             if meta:
+#                 yield "meta", meta
+
+#         except Exception as e:
+#             yield "error", handle_tweepy_exception(e)
+
+# class TwitterGetFollowedListsBlock(Block):
+#     """
+#     Gets lists followed by a specified Twitter user
+#     """
+
+#     class Input(UserExpansionInputs):
+#         credentials: TwitterCredentialsInput = TwitterCredentialsField(
+#             ["follows.read", "users.read", "list.read", "offline.access"]
+#         )
+
+#         user_id: str = SchemaField(
+#             description="The user ID whose followed Lists to retrieve",
+#             placeholder="Enter user ID",
+#             required=True
+#         )
+
+#         max_results: int = SchemaField(
+#             description="Max number of results per page (1-100)",
+#             placeholder="Enter max results",
+#             default=10,
+#             advanced=True,
+#         )
+
+#         pagination_token: str = SchemaField(
+#             description="Token for pagination",
+#             placeholder="Enter pagination token",
+#             default="",
+#             advanced=True,
+#         )
+
+#     class Output(BlockSchema):
+#         list_ids: list[str] = SchemaField(description="List of list IDs")
+#         list_names: list[str] = SchemaField(description="List of list names")
+#         data: list[dict] = SchemaField(description="Complete list data")
+#         includes: dict = SchemaField(description="Additional data requested via expansions")
+#         meta: dict = SchemaField(description="Metadata about the response")
+#         next_token: str = SchemaField(description="Token for next page of results")
+#         error: str = SchemaField(description="Error message if the request failed")
+
+#     def __init__(self):
+#         super().__init__(
+#             id="0e18bbfc-a62f-11ef-94fa-1f1e174b809e",
+#             description="This block retrieves all Lists a specified user follows.",
+#             categories={BlockCategory.SOCIAL},
+#             input_schema=TwitterGetFollowedListsBlock.Input,
+#             output_schema=TwitterGetFollowedListsBlock.Output,
+#             test_input={
+#                 "user_id": "123456789",
+#                 "max_results": 10,
+#                 "pagination_token": None,
+#                 "credentials": TEST_CREDENTIALS_INPUT,
+#                 "expansions": [],
+#                 "tweet_fields": [],
+#                 "user_fields": []
+#             },
+#             test_credentials=TEST_CREDENTIALS,
+#             test_output=[
+#                 ("list_ids", ["12345"]),
+#                 ("list_names", ["Test List"]),
+#                 ("data", {"followed_lists": [{"id": "12345", "name": "Test List"}]}),
+#                 ("includes", {}),
+#                 ("meta", {}),
+#                 ("next_token", None),
+#                 ("error", "")
+#             ],
+#             test_mock={
+#                 "get_followed_lists": lambda *args, **kwargs: ({
+#                     "followed_lists": [{"id": "12345", "name": "Test List"}]
+#                 }, {}, {}, ["12345"], ["Test List"], None)
+#             }
+#         )
+
+#     @staticmethod
+#     def get_followed_lists(
+#         credentials: TwitterCredentials,
+#         user_id: str,
+#         max_results: int,
+#         pagination_token: str,
+#         expansions: list[UserExpansions],
+#         tweet_fields: list[TweetFields],
+#         user_fields: list[TweetUserFields]
+#     ):
+#         try:
+#             client = tweepy.Client(
+#                 bearer_token=credentials.access_token.get_secret_value(),
+#             )
+
+#             params = {
+#                 "id": user_id,
+#                 "max_results": max_results,
+#                 "pagination_token": None if pagination_token == "" else pagination_token,
+#                 "user_auth": False
+#             }
+
+#             params = (UserExpansionsBuilder(params)
+#                     .add_expansions(expansions)
+#                     .add_tweet_fields(tweet_fields)
+#                     .add_user_fields(user_fields)
+#                     .build())
+
+#             response = cast(
+#                 Response,
+#                 client.get_followed_lists(**params)
+#             )
+
+#             meta = {}
+#             list_ids = []
+#             list_names = []
+#             next_token = None
+
+#             if response.meta:
+#                 meta = response.meta
+#                 next_token = meta.get("next_token")
+
+#             included = IncludesSerializer.serialize(response.includes)
+#             data = ResponseDataSerializer.serialize_list(response.data)
+
+#             if response.data:
+#                 list_ids = [str(item.id) for item in response.data]
+#                 list_names = [item.name for item in response.data]
+
+#                 return data, included, meta, list_ids, list_names, next_token
+
+#             raise Exception("No followed lists found")
+
+#         except tweepy.TweepyException:
+#             raise
+
+#     async def run(
+#         self,
+#         input_data: Input,
+#         *,
+#         credentials: TwitterCredentials,
+#         **kwargs,
+#     ) -> BlockOutput:
+#         try:
+#             lists_data, included, meta, list_ids, list_names, next_token = self.get_followed_lists(
+#                 credentials,
+#                 input_data.user_id,
+#                 input_data.max_results,
+#                 input_data.pagination_token,
+#                 input_data.expansions,
+#                 input_data.tweet_fields,
+#                 input_data.user_fields
+#             )
+
+#             if list_ids:
+#                 yield "list_ids", list_ids
+#             if list_names:
+#                 yield "list_names", list_names
+#             if next_token:
+#                 yield "next_token", next_token
+#             if lists_data:
+#                 yield "data", lists_data
+#             if included:
+#                 yield "includes", included
+#             if meta:
+#                 yield "meta", meta
+
+#         except Exception as e:
+#             yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/lists/list_lookup.py b/autogpt_platform/backend/backend/blocks/twitter/lists/list_lookup.py
new file mode 100644
index 000000000000..6dbaf2b23d8e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/lists/list_lookup.py
@@ -0,0 +1,349 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import ListExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ListExpansionInputs,
+    ListExpansionsFilter,
+    ListFieldsFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterGetListBlock(Block):
+    """
+    Gets information about a Twitter List specified by ID
+    """
+
+    class Input(ListExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to lookup",
+            placeholder="Enter list ID",
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        id: str = SchemaField(description="ID of the Twitter List")
+        name: str = SchemaField(description="Name of the Twitter List")
+        owner_id: str = SchemaField(description="ID of the List owner")
+        owner_username: str = SchemaField(description="Username of the List owner")
+
+        # Complete outputs
+        data: dict = SchemaField(description="Complete list data")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata about the response")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="34ebc80a-a62f-11ef-9c2a-3fcab6c07079",
+            description="This block retrieves information about a specified Twitter List.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetListBlock.Input,
+            output_schema=TwitterGetListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "list_id": "84839422",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "list_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "84839422"),
+                ("name", "Official Twitter Accounts"),
+                ("owner_id", "2244994945"),
+                ("owner_username", "TwitterAPI"),
+                ("data", {"id": "84839422", "name": "Official Twitter Accounts"}),
+            ],
+            test_mock={
+                "get_list": lambda *args, **kwargs: (
+                    {"id": "84839422", "name": "Official Twitter Accounts"},
+                    {},
+                    {},
+                    "2244994945",
+                    "TwitterAPI",
+                )
+            },
+        )
+
+    @staticmethod
+    def get_list(
+        credentials: TwitterCredentials,
+        list_id: str,
+        expansions: ListExpansionsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+        list_fields: ListFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {"id": list_id, "user_auth": False}
+
+            params = (
+                ListExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_user_fields(user_fields)
+                .add_list_fields(list_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_list(**params))
+
+            meta = {}
+            owner_id = ""
+            owner_username = ""
+            included = {}
+
+            if response.includes:
+                included = IncludesSerializer.serialize(response.includes)
+
+            if "users" in included:
+                owner_id = str(included["users"][0]["id"])
+                owner_username = included["users"][0]["username"]
+
+            if response.meta:
+                meta = response.meta
+
+            if response.data:
+                data_dict = ResponseDataSerializer.serialize_dict(response.data)
+                return data_dict, included, meta, owner_id, owner_username
+
+            raise Exception("List not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            list_data, included, meta, owner_id, owner_username = self.get_list(
+                credentials,
+                input_data.list_id,
+                input_data.expansions,
+                input_data.user_fields,
+                input_data.list_fields,
+            )
+
+            yield "id", str(list_data["id"])
+            yield "name", list_data["name"]
+            if owner_id:
+                yield "owner_id", owner_id
+            if owner_username:
+                yield "owner_username", owner_username
+            yield "data", {"id": list_data["id"], "name": list_data["name"]}
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetOwnedListsBlock(Block):
+    """
+    Gets all Lists owned by the specified user
+    """
+
+    class Input(ListExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "list.read", "offline.access"]
+        )
+
+        user_id: str = SchemaField(
+            description="The user ID whose owned Lists to retrieve",
+            placeholder="Enter user ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results per page (1-100)",
+            placeholder="Enter max results (default 100)",
+            advanced=True,
+            default=10,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination",
+            placeholder="Enter pagination token",
+            advanced=True,
+            default="",
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        list_ids: list[str] = SchemaField(description="List ids of the owned lists")
+        list_names: list[str] = SchemaField(description="List names of the owned lists")
+        next_token: str = SchemaField(description="Token for next page of results")
+
+        # Complete outputs
+        data: list[dict] = SchemaField(description="Complete owned lists data")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata about the response")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="2b6bdb26-a62f-11ef-a9ce-ff89c2568726",
+            description="This block retrieves all Lists owned by a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetOwnedListsBlock.Input,
+            output_schema=TwitterGetOwnedListsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "user_id": "2244994945",
+                "max_results": 10,
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "list_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("list_ids", ["84839422"]),
+                ("list_names", ["Official Twitter Accounts"]),
+                ("data", [{"id": "84839422", "name": "Official Twitter Accounts"}]),
+            ],
+            test_mock={
+                "get_owned_lists": lambda *args, **kwargs: (
+                    [{"id": "84839422", "name": "Official Twitter Accounts"}],
+                    {},
+                    {},
+                    ["84839422"],
+                    ["Official Twitter Accounts"],
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_owned_lists(
+        credentials: TwitterCredentials,
+        user_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: ListExpansionsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+        list_fields: ListFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": user_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                ListExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_user_fields(user_fields)
+                .add_list_fields(list_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_owned_lists(**params))
+
+            meta = {}
+            included = {}
+            list_ids = []
+            list_names = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            if response.includes:
+                included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                list_ids = [
+                    str(item.id) for item in response.data if hasattr(item, "id")
+                ]
+                list_names = [
+                    item.name for item in response.data if hasattr(item, "name")
+                ]
+
+                return data, included, meta, list_ids, list_names, next_token
+
+            raise Exception("User have no owned list")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            list_data, included, meta, list_ids, list_names, next_token = (
+                self.get_owned_lists(
+                    credentials,
+                    input_data.user_id,
+                    input_data.max_results,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.user_fields,
+                    input_data.list_fields,
+                )
+            )
+
+            if list_ids:
+                yield "list_ids", list_ids
+            if list_names:
+                yield "list_names", list_names
+            if next_token:
+                yield "next_token", next_token
+            if list_data:
+                yield "data", list_data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/lists/list_members.py b/autogpt_platform/backend/backend/blocks/twitter/lists/list_members.py
new file mode 100644
index 000000000000..9bcd8f15a208
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/lists/list_members.py
@@ -0,0 +1,526 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import (
+    ListExpansionsBuilder,
+    UserExpansionsBuilder,
+)
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ListExpansionInputs,
+    ListExpansionsFilter,
+    ListFieldsFilter,
+    TweetFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterRemoveListMemberBlock(Block):
+    """
+    Removes a member from a Twitter List that the authenticated user owns
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "users.read", "tweet.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to remove the member from",
+            placeholder="Enter list ID",
+        )
+
+        user_id: str = SchemaField(
+            description="The ID of the user to remove from the List",
+            placeholder="Enter user ID to remove",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the member was successfully removed"
+        )
+        error: str = SchemaField(description="Error message if the removal failed")
+
+    def __init__(self):
+        super().__init__(
+            id="5a3d1320-a62f-11ef-b7ce-a79e7656bcb0",
+            description="This block removes a specified user from a Twitter List owned by the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterRemoveListMemberBlock.Input,
+            output_schema=TwitterRemoveListMemberBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "list_id": "123456789",
+                "user_id": "987654321",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"remove_list_member": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def remove_list_member(credentials: TwitterCredentials, list_id: str, user_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+            client.remove_list_member(id=list_id, user_id=user_id, user_auth=False)
+            return True
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.remove_list_member(
+                credentials, input_data.list_id, input_data.user_id
+            )
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterAddListMemberBlock(Block):
+    """
+    Adds a member to a Twitter List that the authenticated user owns
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "users.read", "tweet.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to add the member to",
+            placeholder="Enter list ID",
+        )
+
+        user_id: str = SchemaField(
+            description="The ID of the user to add to the List",
+            placeholder="Enter user ID to add",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the member was successfully added"
+        )
+        error: str = SchemaField(description="Error message if the addition failed")
+
+    def __init__(self):
+        super().__init__(
+            id="3ee8284e-a62f-11ef-84e4-8f6e2cbf0ddb",
+            description="This block adds a specified user to a Twitter List owned by the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterAddListMemberBlock.Input,
+            output_schema=TwitterAddListMemberBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "list_id": "123456789",
+                "user_id": "987654321",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"add_list_member": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def add_list_member(credentials: TwitterCredentials, list_id: str, user_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+            client.add_list_member(id=list_id, user_id=user_id, user_auth=False)
+            return True
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.add_list_member(
+                credentials, input_data.list_id, input_data.user_id
+            )
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetListMembersBlock(Block):
+    """
+    Gets the members of a specified Twitter List
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to get members from",
+            placeholder="Enter list ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results per page (1-100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        ids: list[str] = SchemaField(description="List of member user IDs")
+        usernames: list[str] = SchemaField(description="List of member usernames")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        data: list[dict] = SchemaField(
+            description="Complete user data for list members"
+        )
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata including pagination info")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="4dba046e-a62f-11ef-b69a-87240c84b4c7",
+            description="This block retrieves the members of a specified Twitter List.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetListMembersBlock.Input,
+            output_schema=TwitterGetListMembersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "list_id": "123456789",
+                "max_results": 2,
+                "pagination_token": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["12345", "67890"]),
+                ("usernames", ["testuser1", "testuser2"]),
+                (
+                    "data",
+                    [
+                        {"id": "12345", "username": "testuser1"},
+                        {"id": "67890", "username": "testuser2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_list_members": lambda *args, **kwargs: (
+                    ["12345", "67890"],
+                    ["testuser1", "testuser2"],
+                    [
+                        {"id": "12345", "username": "testuser1"},
+                        {"id": "67890", "username": "testuser2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_list_members(
+        credentials: TwitterCredentials,
+        list_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": list_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_list_members(**params))
+
+            meta = {}
+            included = {}
+            next_token = None
+            user_ids = []
+            usernames = []
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            if response.includes:
+                included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                user_ids = [str(user.id) for user in response.data]
+                usernames = [user.username for user in response.data]
+                return user_ids, usernames, data, included, meta, next_token
+
+            raise Exception("List members not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, usernames, data, included, meta, next_token = self.get_list_members(
+                credentials,
+                input_data.list_id,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+
+            if ids:
+                yield "ids", ids
+            if usernames:
+                yield "usernames", usernames
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetListMembershipsBlock(Block):
+    """
+    Gets all Lists that a specified user is a member of
+    """
+
+    class Input(ListExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.read", "offline.access"]
+        )
+
+        user_id: str = SchemaField(
+            description="The ID of the user whose List memberships to retrieve",
+            placeholder="Enter user ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results per page (1-100)",
+            placeholder="Enter max results",
+            advanced=True,
+            default=10,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination of results",
+            placeholder="Enter pagination token",
+            advanced=True,
+            default="",
+        )
+
+    class Output(BlockSchema):
+        list_ids: list[str] = SchemaField(description="List of list IDs")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        data: list[dict] = SchemaField(description="List membership data")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata about pagination")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="46e6429c-a62f-11ef-81c0-2b55bc7823ba",
+            description="This block retrieves all Lists that a specified user is a member of.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetListMembershipsBlock.Input,
+            output_schema=TwitterGetListMembershipsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "user_id": "123456789",
+                "max_results": 1,
+                "pagination_token": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "list_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("list_ids", ["84839422"]),
+                ("data", [{"id": "84839422"}]),
+            ],
+            test_mock={
+                "get_list_memberships": lambda *args, **kwargs: (
+                    [{"id": "84839422"}],
+                    {},
+                    {},
+                    ["84839422"],
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_list_memberships(
+        credentials: TwitterCredentials,
+        user_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: ListExpansionsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+        list_fields: ListFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": user_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                ListExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_user_fields(user_fields)
+                .add_list_fields(list_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_list_memberships(**params))
+
+            meta = {}
+            included = {}
+            next_token = None
+            list_ids = []
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            if response.includes:
+                included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                list_ids = [str(lst.id) for lst in response.data]
+                return data, included, meta, list_ids, next_token
+
+            raise Exception("List memberships not found")
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            data, included, meta, list_ids, next_token = self.get_list_memberships(
+                credentials,
+                input_data.user_id,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.user_fields,
+                input_data.list_fields,
+            )
+
+            if list_ids:
+                yield "list_ids", list_ids
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/lists/list_tweets_lookup.py b/autogpt_platform/backend/backend/blocks/twitter/lists/list_tweets_lookup.py
new file mode 100644
index 000000000000..bda25e1d2dff
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/lists/list_tweets_lookup.py
@@ -0,0 +1,218 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import TweetExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterGetListTweetsBlock(Block):
+    """
+    Gets tweets from a specified Twitter list
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List whose Tweets you would like to retrieve",
+            placeholder="Enter list ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results per page (1-100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for paginating through results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        tweet_ids: list[str] = SchemaField(description="List of tweet IDs")
+        texts: list[str] = SchemaField(description="List of tweet texts")
+        next_token: str = SchemaField(description="Token for next page of results")
+
+        # Complete outputs
+        data: list[dict] = SchemaField(description="Complete list tweets data")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(
+            description="Response metadata including pagination tokens"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="6657edb0-a62f-11ef-8c10-0326d832467d",
+            description="This block retrieves tweets from a specified Twitter list.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetListTweetsBlock.Input,
+            output_schema=TwitterGetListTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "list_id": "84839422",
+                "max_results": 1,
+                "pagination_token": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("tweet_ids", ["1234567890"]),
+                ("texts", ["Test tweet"]),
+                ("data", [{"id": "1234567890", "text": "Test tweet"}]),
+            ],
+            test_mock={
+                "get_list_tweets": lambda *args, **kwargs: (
+                    [{"id": "1234567890", "text": "Test tweet"}],
+                    {},
+                    {},
+                    ["1234567890"],
+                    ["Test tweet"],
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_list_tweets(
+        credentials: TwitterCredentials,
+        list_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": list_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_list_tweets(**params))
+
+            meta = {}
+            included = {}
+            tweet_ids = []
+            texts = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            if response.includes:
+                included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                tweet_ids = [str(item.id) for item in response.data]
+                texts = [item.text for item in response.data]
+
+                return data, included, meta, tweet_ids, texts, next_token
+
+            raise Exception("No tweets found in this list")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            list_data, included, meta, tweet_ids, texts, next_token = (
+                self.get_list_tweets(
+                    credentials,
+                    input_data.list_id,
+                    input_data.max_results,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.media_fields,
+                    input_data.place_fields,
+                    input_data.poll_fields,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+
+            if tweet_ids:
+                yield "tweet_ids", tweet_ids
+            if texts:
+                yield "texts", texts
+            if next_token:
+                yield "next_token", next_token
+            if list_data:
+                yield "data", list_data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/lists/manage_lists.py b/autogpt_platform/backend/backend/blocks/twitter/lists/manage_lists.py
new file mode 100644
index 000000000000..2ba8158f9ca6
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/lists/manage_lists.py
@@ -0,0 +1,281 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterDeleteListBlock(Block):
+    """
+    Deletes a Twitter List owned by the authenticated user
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to be deleted",
+            placeholder="Enter list ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the deletion was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="843c6892-a62f-11ef-a5c8-b71239a78d3b",
+            description="This block deletes a specified Twitter List owned by the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterDeleteListBlock.Input,
+            output_schema=TwitterDeleteListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={"list_id": "1234567890", "credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"delete_list": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def delete_list(credentials: TwitterCredentials, list_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.delete_list(id=list_id, user_auth=False)
+            return True
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.delete_list(credentials, input_data.list_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterUpdateListBlock(Block):
+    """
+    Updates a Twitter List owned by the authenticated user
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to be updated",
+            placeholder="Enter list ID",
+            advanced=False,
+        )
+
+        name: str | None = SchemaField(
+            description="New name for the List",
+            placeholder="Enter list name",
+            default="",
+            advanced=False,
+        )
+
+        description: str | None = SchemaField(
+            description="New description for the List",
+            placeholder="Enter list description",
+            default="",
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the update was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="7d12630a-a62f-11ef-90c9-8f5a996612c3",
+            description="This block updates a specified Twitter List owned by the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUpdateListBlock.Input,
+            output_schema=TwitterUpdateListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "list_id": "1234567890",
+                "name": "Updated List Name",
+                "description": "Updated List Description",
+                "private": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"update_list": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def update_list(
+        credentials: TwitterCredentials,
+        list_id: str,
+        name: str | None,
+        description: str | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.update_list(
+                id=list_id,
+                name=None if name == "" else name,
+                description=None if description == "" else description,
+                user_auth=False,
+            )
+            return True
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.update_list(
+                credentials, input_data.list_id, input_data.name, input_data.description
+            )
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterCreateListBlock(Block):
+    """
+    Creates a Twitter List owned by the authenticated user
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "offline.access"]
+        )
+
+        name: str = SchemaField(
+            description="The name of the List to be created",
+            placeholder="Enter list name",
+            advanced=False,
+            default="",
+        )
+
+        description: str | None = SchemaField(
+            description="Description of the List",
+            placeholder="Enter list description",
+            advanced=False,
+            default="",
+        )
+
+        private: bool = SchemaField(
+            description="Whether the List should be private",
+            advanced=False,
+            default=False,
+        )
+
+    class Output(BlockSchema):
+        url: str = SchemaField(description="URL of the created list")
+        list_id: str = SchemaField(description="ID of the created list")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="724148ba-a62f-11ef-89ba-5349b813ef5f",
+            description="This block creates a new Twitter List for the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterCreateListBlock.Input,
+            output_schema=TwitterCreateListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "name": "New List Name",
+                "description": "New List Description",
+                "private": True,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("list_id", "1234567890"),
+                ("url", "https://twitter.com/i/lists/1234567890"),
+            ],
+            test_mock={"create_list": lambda *args, **kwargs: ("1234567890")},
+        )
+
+    @staticmethod
+    def create_list(
+        credentials: TwitterCredentials,
+        name: str,
+        description: str | None,
+        private: bool,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            response = cast(
+                Response,
+                client.create_list(
+                    name=None if name == "" else name,
+                    description=None if description == "" else description,
+                    private=private,
+                    user_auth=False,
+                ),
+            )
+
+            list_id = str(response.data["id"])
+
+            return list_id
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            list_id = self.create_list(
+                credentials, input_data.name, input_data.description, input_data.private
+            )
+            yield "list_id", list_id
+            yield "url", f"https://twitter.com/i/lists/{list_id}"
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/lists/pinned_lists.py b/autogpt_platform/backend/backend/blocks/twitter/lists/pinned_lists.py
new file mode 100644
index 000000000000..a31d1059f654
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/lists/pinned_lists.py
@@ -0,0 +1,287 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import ListExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ListExpansionInputs,
+    ListExpansionsFilter,
+    ListFieldsFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterUnpinListBlock(Block):
+    """
+    Enables the authenticated user to unpin a List.
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "users.read", "tweet.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to unpin",
+            placeholder="Enter list ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the unpin was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="a099c034-a62f-11ef-9622-47d0ceb73555",
+            description="This block allows the authenticated user to unpin a specified List.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUnpinListBlock.Input,
+            output_schema=TwitterUnpinListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={"list_id": "123456789", "credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"unpin_list": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def unpin_list(credentials: TwitterCredentials, list_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unpin_list(list_id=list_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.unpin_list(credentials, input_data.list_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterPinListBlock(Block):
+    """
+    Enables the authenticated user to pin a List.
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["list.write", "users.read", "tweet.read", "offline.access"]
+        )
+
+        list_id: str = SchemaField(
+            description="The ID of the List to pin",
+            placeholder="Enter list ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the pin was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="8ec16e48-a62f-11ef-9f35-f3d6de43a802",
+            description="This block allows the authenticated user to pin a specified List.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterPinListBlock.Input,
+            output_schema=TwitterPinListBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={"list_id": "123456789", "credentials": TEST_CREDENTIALS_INPUT},
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"pin_list": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def pin_list(credentials: TwitterCredentials, list_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.pin_list(list_id=list_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.pin_list(credentials, input_data.list_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetPinnedListsBlock(Block):
+    """
+    Returns the Lists pinned by the authenticated user.
+    """
+
+    class Input(ListExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["lists.read", "users.read", "offline.access"]
+        )
+
+    class Output(BlockSchema):
+        list_ids: list[str] = SchemaField(description="List IDs of the pinned lists")
+        list_names: list[str] = SchemaField(
+            description="List names of the pinned lists"
+        )
+
+        data: list[dict] = SchemaField(
+            description="Response data containing pinned lists"
+        )
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata about the response")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="97e03aae-a62f-11ef-bc53-5b89cb02888f",
+            description="This block returns the Lists pinned by the authenticated user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetPinnedListsBlock.Input,
+            output_schema=TwitterGetPinnedListsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "expansions": None,
+                "list_fields": None,
+                "user_fields": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("list_ids", ["84839422"]),
+                ("list_names", ["Twitter List"]),
+                ("data", [{"id": "84839422", "name": "Twitter List"}]),
+            ],
+            test_mock={
+                "get_pinned_lists": lambda *args, **kwargs: (
+                    [{"id": "84839422", "name": "Twitter List"}],
+                    {},
+                    {},
+                    ["84839422"],
+                    ["Twitter List"],
+                )
+            },
+        )
+
+    @staticmethod
+    def get_pinned_lists(
+        credentials: TwitterCredentials,
+        expansions: ListExpansionsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+        list_fields: ListFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {"user_auth": False}
+
+            params = (
+                ListExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_user_fields(user_fields)
+                .add_list_fields(list_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_pinned_lists(**params))
+
+            meta = {}
+            included = {}
+            list_ids = []
+            list_names = []
+
+            if response.meta:
+                meta = response.meta
+
+            if response.includes:
+                included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                list_ids = [str(item.id) for item in response.data]
+                list_names = [item.name for item in response.data]
+                return data, included, meta, list_ids, list_names
+
+            raise Exception("Lists not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            list_data, included, meta, list_ids, list_names = self.get_pinned_lists(
+                credentials,
+                input_data.expansions,
+                input_data.user_fields,
+                input_data.list_fields,
+            )
+
+            if list_ids:
+                yield "list_ids", list_ids
+            if list_names:
+                yield "list_names", list_names
+            if list_data:
+                yield "data", list_data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/spaces/search_spaces.py b/autogpt_platform/backend/backend/blocks/twitter/spaces/search_spaces.py
new file mode 100644
index 000000000000..77b28fa65438
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/spaces/search_spaces.py
@@ -0,0 +1,197 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import SpaceExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    SpaceExpansionInputs,
+    SpaceExpansionsFilter,
+    SpaceFieldsFilter,
+    SpaceStatesFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterSearchSpacesBlock(Block):
+    """
+    Returns live or scheduled Spaces matching specified search terms [for a week only]
+    """
+
+    class Input(SpaceExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["spaces.read", "users.read", "tweet.read", "offline.access"]
+        )
+
+        query: str = SchemaField(
+            description="Search term to find in Space titles",
+            placeholder="Enter search query",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (1-100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        state: SpaceStatesFilter = SchemaField(
+            description="Type of Spaces to return (live, scheduled, or all)",
+            placeholder="Enter state filter",
+            default=SpaceStatesFilter.all,
+        )
+
+    class Output(BlockSchema):
+        # Common outputs that user commonly uses
+        ids: list[str] = SchemaField(description="List of space IDs")
+        titles: list[str] = SchemaField(description="List of space titles")
+        host_ids: list = SchemaField(description="List of host IDs")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete space data")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata including pagination info")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="aaefdd48-a62f-11ef-a73c-3f44df63e276",
+            description="This block searches for Twitter Spaces based on specified terms.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterSearchSpacesBlock.Input,
+            output_schema=TwitterSearchSpacesBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "query": "tech",
+                "max_results": 1,
+                "state": "live",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "space_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1234"]),
+                ("titles", ["Tech Talk"]),
+                ("host_ids", ["5678"]),
+                ("data", [{"id": "1234", "title": "Tech Talk", "host_ids": ["5678"]}]),
+            ],
+            test_mock={
+                "search_spaces": lambda *args, **kwargs: (
+                    [{"id": "1234", "title": "Tech Talk", "host_ids": ["5678"]}],
+                    {},
+                    {},
+                    ["1234"],
+                    ["Tech Talk"],
+                    ["5678"],
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def search_spaces(
+        credentials: TwitterCredentials,
+        query: str,
+        max_results: int | None,
+        state: SpaceStatesFilter,
+        expansions: SpaceExpansionsFilter | None,
+        space_fields: SpaceFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {"query": query, "max_results": max_results, "state": state.value}
+
+            params = (
+                SpaceExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_space_fields(space_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.search_spaces(**params))
+
+            meta = {}
+            next_token = ""
+            if response.meta:
+                meta = response.meta
+                if "next_token" in meta:
+                    next_token = meta["next_token"]
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                ids = [str(space["id"]) for space in response.data if "id" in space]
+                titles = [space["title"] for space in data if "title" in space]
+                host_ids = [space["host_ids"] for space in data if "host_ids" in space]
+
+                return data, included, meta, ids, titles, host_ids, next_token
+
+            raise Exception("Spaces not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            data, included, meta, ids, titles, host_ids, next_token = (
+                self.search_spaces(
+                    credentials,
+                    input_data.query,
+                    input_data.max_results,
+                    input_data.state,
+                    input_data.expansions,
+                    input_data.space_fields,
+                    input_data.user_fields,
+                )
+            )
+
+            if ids:
+                yield "ids", ids
+            if titles:
+                yield "titles", titles
+            if host_ids:
+                yield "host_ids", host_ids
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "includes", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/spaces/spaces_lookup.py b/autogpt_platform/backend/backend/blocks/twitter/spaces/spaces_lookup.py
new file mode 100644
index 000000000000..d4ff5459e4f3
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/spaces/spaces_lookup.py
@@ -0,0 +1,653 @@
+from typing import Literal, Union, cast
+
+import tweepy
+from pydantic import BaseModel
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import (
+    SpaceExpansionsBuilder,
+    TweetExpansionsBuilder,
+    UserExpansionsBuilder,
+)
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    SpaceExpansionInputs,
+    SpaceExpansionsFilter,
+    SpaceFieldsFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class SpaceList(BaseModel):
+    discriminator: Literal["space_list"]
+    space_ids: list[str] = SchemaField(
+        description="List of Space IDs to lookup (up to 100)",
+        placeholder="Enter Space IDs",
+        default_factory=list,
+        advanced=False,
+    )
+
+
+class UserList(BaseModel):
+    discriminator: Literal["user_list"]
+    user_ids: list[str] = SchemaField(
+        description="List of user IDs to lookup their Spaces (up to 100)",
+        placeholder="Enter user IDs",
+        default_factory=list,
+        advanced=False,
+    )
+
+
+class TwitterGetSpacesBlock(Block):
+    """
+    Gets information about multiple Twitter Spaces specified by Space IDs or creator user IDs
+    """
+
+    class Input(SpaceExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["spaces.read", "users.read", "offline.access"]
+        )
+
+        identifier: Union[SpaceList, UserList] = SchemaField(
+            discriminator="discriminator",
+            description="Choose whether to lookup spaces by their IDs or by creator user IDs",
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        ids: list[str] = SchemaField(description="List of space IDs")
+        titles: list[str] = SchemaField(description="List of space titles")
+
+        # Complete outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete space data")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="d75bd7d8-a62f-11ef-b0d8-c7a9496f617f",
+            description="This block retrieves information about multiple Twitter Spaces.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetSpacesBlock.Input,
+            output_schema=TwitterGetSpacesBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "identifier": {
+                    "discriminator": "space_list",
+                    "space_ids": ["1DXxyRYNejbKM"],
+                },
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "space_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1DXxyRYNejbKM"]),
+                ("titles", ["Test Space"]),
+                (
+                    "data",
+                    [
+                        {
+                            "id": "1DXxyRYNejbKM",
+                            "title": "Test Space",
+                            "host_id": "1234567",
+                        }
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_spaces": lambda *args, **kwargs: (
+                    [
+                        {
+                            "id": "1DXxyRYNejbKM",
+                            "title": "Test Space",
+                            "host_id": "1234567",
+                        }
+                    ],
+                    {},
+                    ["1DXxyRYNejbKM"],
+                    ["Test Space"],
+                )
+            },
+        )
+
+    @staticmethod
+    def get_spaces(
+        credentials: TwitterCredentials,
+        identifier: Union[SpaceList, UserList],
+        expansions: SpaceExpansionsFilter | None,
+        space_fields: SpaceFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "ids": (
+                    identifier.space_ids if isinstance(identifier, SpaceList) else None
+                ),
+                "user_ids": (
+                    identifier.user_ids if isinstance(identifier, UserList) else None
+                ),
+            }
+
+            params = (
+                SpaceExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_space_fields(space_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_spaces(**params))
+
+            ids = []
+            titles = []
+
+            included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                ids = [space["id"] for space in data if "id" in space]
+                titles = [space["title"] for space in data if "title" in space]
+
+                return data, included, ids, titles
+
+            raise Exception("No spaces found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            data, included, ids, titles = self.get_spaces(
+                credentials,
+                input_data.identifier,
+                input_data.expansions,
+                input_data.space_fields,
+                input_data.user_fields,
+            )
+
+            if ids:
+                yield "ids", ids
+            if titles:
+                yield "titles", titles
+
+            if data:
+                yield "data", data
+            if included:
+                yield "includes", included
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetSpaceByIdBlock(Block):
+    """
+    Gets information about a single Twitter Space specified by Space ID
+    """
+
+    class Input(SpaceExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["spaces.read", "users.read", "offline.access"]
+        )
+
+        space_id: str = SchemaField(
+            description="Space ID to lookup",
+            placeholder="Enter Space ID",
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        id: str = SchemaField(description="Space ID")
+        title: str = SchemaField(description="Space title")
+        host_ids: list[str] = SchemaField(description="Host ID")
+
+        # Complete outputs for advanced use
+        data: dict = SchemaField(description="Complete space data")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="c79700de-a62f-11ef-ab20-fb32bf9d5a9d",
+            description="This block retrieves information about a single Twitter Space.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetSpaceByIdBlock.Input,
+            output_schema=TwitterGetSpaceByIdBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "space_id": "1DXxyRYNejbKM",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "space_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "1DXxyRYNejbKM"),
+                ("title", "Test Space"),
+                ("host_ids", ["1234567"]),
+                (
+                    "data",
+                    {
+                        "id": "1DXxyRYNejbKM",
+                        "title": "Test Space",
+                        "host_ids": ["1234567"],
+                    },
+                ),
+            ],
+            test_mock={
+                "get_space": lambda *args, **kwargs: (
+                    {
+                        "id": "1DXxyRYNejbKM",
+                        "title": "Test Space",
+                        "host_ids": ["1234567"],
+                    },
+                    {},
+                )
+            },
+        )
+
+    @staticmethod
+    def get_space(
+        credentials: TwitterCredentials,
+        space_id: str,
+        expansions: SpaceExpansionsFilter | None,
+        space_fields: SpaceFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": space_id,
+            }
+
+            params = (
+                SpaceExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_space_fields(space_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_space(**params))
+
+            includes = {}
+            if response.includes:
+                for key, value in response.includes.items():
+                    if isinstance(value, list):
+                        includes[key] = [
+                            item.data if hasattr(item, "data") else item
+                            for item in value
+                        ]
+                    else:
+                        includes[key] = value.data if hasattr(value, "data") else value
+
+            data = {}
+            if response.data:
+                for key, value in response.data.items():
+                    if isinstance(value, list):
+                        data[key] = [
+                            item.data if hasattr(item, "data") else item
+                            for item in value
+                        ]
+                    else:
+                        data[key] = value.data if hasattr(value, "data") else value
+
+                return data, includes
+
+            raise Exception("Space not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            space_data, includes = self.get_space(
+                credentials,
+                input_data.space_id,
+                input_data.expansions,
+                input_data.space_fields,
+                input_data.user_fields,
+            )
+
+            # Common outputs
+            if space_data:
+                if "id" in space_data:
+                    yield "id", space_data.get("id")
+
+                if "title" in space_data:
+                    yield "title", space_data.get("title")
+
+                if "host_ids" in space_data:
+                    yield "host_ids", space_data.get("host_ids")
+
+            if space_data:
+                yield "data", space_data
+            if includes:
+                yield "includes", includes
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+# Not tested yet, might have some problem
+class TwitterGetSpaceBuyersBlock(Block):
+    """
+    Gets list of users who purchased a ticket to the requested Space
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["spaces.read", "users.read", "offline.access"]
+        )
+
+        space_id: str = SchemaField(
+            description="Space ID to lookup buyers for",
+            placeholder="Enter Space ID",
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        buyer_ids: list[str] = SchemaField(description="List of buyer IDs")
+        usernames: list[str] = SchemaField(description="List of buyer usernames")
+
+        # Complete outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete space buyers data")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="c1c121a8-a62f-11ef-8b0e-d7b85f96a46f",
+            description="This block retrieves a list of users who purchased tickets to a Twitter Space.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetSpaceBuyersBlock.Input,
+            output_schema=TwitterGetSpaceBuyersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "space_id": "1DXxyRYNejbKM",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("buyer_ids", ["2244994945"]),
+                ("usernames", ["testuser"]),
+                (
+                    "data",
+                    [{"id": "2244994945", "username": "testuser", "name": "Test User"}],
+                ),
+            ],
+            test_mock={
+                "get_space_buyers": lambda *args, **kwargs: (
+                    [{"id": "2244994945", "username": "testuser", "name": "Test User"}],
+                    {},
+                    ["2244994945"],
+                    ["testuser"],
+                )
+            },
+        )
+
+    @staticmethod
+    def get_space_buyers(
+        credentials: TwitterCredentials,
+        space_id: str,
+        expansions: UserExpansionsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": space_id,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_space_buyers(**params))
+
+            included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                buyer_ids = [buyer["id"] for buyer in data]
+                usernames = [buyer["username"] for buyer in data]
+
+                return data, included, buyer_ids, usernames
+
+            raise Exception("No buyers found for this Space")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            buyers_data, included, buyer_ids, usernames = self.get_space_buyers(
+                credentials,
+                input_data.space_id,
+                input_data.expansions,
+                input_data.user_fields,
+            )
+
+            if buyer_ids:
+                yield "buyer_ids", buyer_ids
+            if usernames:
+                yield "usernames", usernames
+
+            if buyers_data:
+                yield "data", buyers_data
+            if included:
+                yield "includes", included
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetSpaceTweetsBlock(Block):
+    """
+    Gets list of Tweets shared in the requested Space
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["spaces.read", "users.read", "offline.access"]
+        )
+
+        space_id: str = SchemaField(
+            description="Space ID to lookup tweets for",
+            placeholder="Enter Space ID",
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        tweet_ids: list[str] = SchemaField(description="List of tweet IDs")
+        texts: list[str] = SchemaField(description="List of tweet texts")
+
+        # Complete outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete space tweets data")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Response metadata")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="b69731e6-a62f-11ef-b2d4-1bf14dd6aee4",
+            description="This block retrieves tweets shared in a Twitter Space.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetSpaceTweetsBlock.Input,
+            output_schema=TwitterGetSpaceTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "space_id": "1DXxyRYNejbKM",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("tweet_ids", ["1234567890"]),
+                ("texts", ["Test tweet"]),
+                ("data", [{"id": "1234567890", "text": "Test tweet"}]),
+            ],
+            test_mock={
+                "get_space_tweets": lambda *args, **kwargs: (
+                    [{"id": "1234567890", "text": "Test tweet"}],  # data
+                    {},
+                    ["1234567890"],
+                    ["Test tweet"],
+                    {},
+                )
+            },
+        )
+
+    @staticmethod
+    def get_space_tweets(
+        credentials: TwitterCredentials,
+        space_id: str,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": space_id,
+            }
+
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_space_tweets(**params))
+
+            included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                data = ResponseDataSerializer.serialize_list(response.data)
+                tweet_ids = [str(tweet["id"]) for tweet in data]
+                texts = [tweet["text"] for tweet in data]
+
+                meta = response.meta or {}
+
+                return data, included, tweet_ids, texts, meta
+
+            raise Exception("No tweets found for this Space")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            tweets_data, included, tweet_ids, texts, meta = self.get_space_tweets(
+                credentials,
+                input_data.space_id,
+                input_data.expansions,
+                input_data.media_fields,
+                input_data.place_fields,
+                input_data.poll_fields,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+
+            if tweet_ids:
+                yield "tweet_ids", tweet_ids
+            if texts:
+                yield "texts", texts
+
+            if tweets_data:
+                yield "data", tweets_data
+            if included:
+                yield "includes", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweepy_exceptions.py b/autogpt_platform/backend/backend/blocks/twitter/tweepy_exceptions.py
new file mode 100644
index 000000000000..c1900269982f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweepy_exceptions.py
@@ -0,0 +1,20 @@
+import tweepy
+
+
+def handle_tweepy_exception(e: Exception) -> str:
+    if isinstance(e, tweepy.BadRequest):
+        return f"Bad Request (400): {str(e)}"
+    elif isinstance(e, tweepy.Unauthorized):
+        return f"Unauthorized (401): {str(e)}"
+    elif isinstance(e, tweepy.Forbidden):
+        return f"Forbidden (403): {str(e)}"
+    elif isinstance(e, tweepy.NotFound):
+        return f"Not Found (404): {str(e)}"
+    elif isinstance(e, tweepy.TooManyRequests):
+        return f"Too Many Requests (429): {str(e)}"
+    elif isinstance(e, tweepy.TwitterServerError):
+        return f"Twitter Server Error (5xx): {str(e)}"
+    elif isinstance(e, tweepy.TweepyException):
+        return f"Tweepy Error: {str(e)}"
+    else:
+        return f"Unexpected error: {str(e)}"
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/bookmark.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/bookmark.py
new file mode 100644
index 000000000000..ec8976fc2f61
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/bookmark.py
@@ -0,0 +1,376 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import TweetExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterBookmarkTweetBlock(Block):
+    """
+    Bookmark a tweet on Twitter
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "bookmark.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to bookmark",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the bookmark was successful")
+        error: str = SchemaField(description="Error message if the bookmark failed")
+
+    def __init__(self):
+        super().__init__(
+            id="f33d67be-a62f-11ef-a797-ff83ec29ee8e",
+            description="This block bookmarks a tweet on Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterBookmarkTweetBlock.Input,
+            output_schema=TwitterBookmarkTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"bookmark_tweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def bookmark_tweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.bookmark(tweet_id)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.bookmark_tweet(credentials, input_data.tweet_id)
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetBookmarkedTweetsBlock(Block):
+    """
+    Get All your bookmarked tweets from Twitter
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "bookmark.read", "users.read", "offline.access"]
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (1-100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        id: list[str] = SchemaField(description="All Tweet IDs")
+        text: list[str] = SchemaField(description="All Tweet texts")
+        userId: list[str] = SchemaField(description="IDs of the tweet authors")
+        userName: list[str] = SchemaField(description="Usernames of the tweet authors")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ed26783e-a62f-11ef-9a21-c77c57dd8a1f",
+            description="This block retrieves bookmarked tweets from Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetBookmarkedTweetsBlock.Input,
+            output_schema=TwitterGetBookmarkedTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "max_results": 2,
+                "pagination_token": None,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", ["1234567890"]),
+                ("text", ["Test tweet"]),
+                ("userId", ["12345"]),
+                ("userName", ["testuser"]),
+                ("data", [{"id": "1234567890", "text": "Test tweet"}]),
+            ],
+            test_mock={
+                "get_bookmarked_tweets": lambda *args, **kwargs: (
+                    ["1234567890"],
+                    ["Test tweet"],
+                    ["12345"],
+                    ["testuser"],
+                    [{"id": "1234567890", "text": "Test tweet"}],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_bookmarked_tweets(
+        credentials: TwitterCredentials,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+            }
+
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(
+                Response,
+                client.get_bookmarks(**params),
+            )
+
+            meta = {}
+            tweet_ids = []
+            tweet_texts = []
+            user_ids = []
+            user_names = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+                if "users" in included:
+                    for user in included["users"]:
+                        user_ids.append(str(user["id"]))
+                        user_names.append(user["username"])
+
+                return (
+                    tweet_ids,
+                    tweet_texts,
+                    user_ids,
+                    user_names,
+                    data,
+                    included,
+                    meta,
+                    next_token,
+                )
+
+            raise Exception("No bookmarked tweets found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, user_ids, user_names, data, included, meta, next_token = (
+                self.get_bookmarked_tweets(
+                    credentials,
+                    input_data.max_results,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.media_fields,
+                    input_data.place_fields,
+                    input_data.poll_fields,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+            if ids:
+                yield "id", ids
+            if texts:
+                yield "text", texts
+            if user_ids:
+                yield "userId", user_ids
+            if user_names:
+                yield "userName", user_names
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+            if next_token:
+                yield "next_token", next_token
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterRemoveBookmarkTweetBlock(Block):
+    """
+    Remove a bookmark for a tweet on Twitter
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "bookmark.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to remove bookmark from",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the bookmark was successfully removed"
+        )
+        error: str = SchemaField(
+            description="Error message if the bookmark removal failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="e4100684-a62f-11ef-9be9-770cb41a2616",
+            description="This block removes a bookmark from a tweet on Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterRemoveBookmarkTweetBlock.Input,
+            output_schema=TwitterRemoveBookmarkTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"remove_bookmark_tweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def remove_bookmark_tweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.remove_bookmark(tweet_id)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.remove_bookmark_tweet(credentials, input_data.tweet_id)
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/hide.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/hide.py
new file mode 100644
index 000000000000..65faa315aeae
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/hide.py
@@ -0,0 +1,157 @@
+import tweepy
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterHideReplyBlock(Block):
+    """
+    Hides a reply of one of your tweets
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "tweet.moderate.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet reply to hide",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the operation was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="07d58b3e-a630-11ef-a030-93701d1a465e",
+            description="This block hides a reply to a tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterHideReplyBlock.Input,
+            output_schema=TwitterHideReplyBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"hide_reply": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def hide_reply(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.hide_reply(id=tweet_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.hide_reply(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterUnhideReplyBlock(Block):
+    """
+    Unhides a reply to a tweet
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "tweet.moderate.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet reply to unhide",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the operation was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="fcf9e4e4-a62f-11ef-9d85-57d3d06b616a",
+            description="This block unhides a reply to a tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUnhideReplyBlock.Input,
+            output_schema=TwitterUnhideReplyBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"unhide_reply": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def unhide_reply(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unhide_reply(id=tweet_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.unhide_reply(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/like.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/like.py
new file mode 100644
index 000000000000..8bbc30e8e9bb
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/like.py
@@ -0,0 +1,581 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import (
+    TweetExpansionsBuilder,
+    UserExpansionsBuilder,
+)
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterLikeTweetBlock(Block):
+    """
+    Likes a tweet
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "like.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to like",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the operation was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="4d0b4c5c-a630-11ef-8e08-1b14c507b347",
+            description="This block likes a tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterLikeTweetBlock.Input,
+            output_schema=TwitterLikeTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"like_tweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def like_tweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.like(tweet_id=tweet_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.like_tweet(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetLikingUsersBlock(Block):
+    """
+    Gets information about users who liked a one of your tweet
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "like.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to get liking users for",
+            placeholder="Enter tweet ID",
+        )
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (1-100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+        pagination_token: str | None = SchemaField(
+            description="Token for getting next/previous page of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        id: list[str] = SchemaField(description="All User IDs who liked the tweet")
+        username: list[str] = SchemaField(
+            description="All User usernames who liked the tweet"
+        )
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="34275000-a630-11ef-b01e-5f00d9077c08",
+            description="This block gets information about users who liked a tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetLikingUsersBlock.Input,
+            output_schema=TwitterGetLikingUsersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "max_results": 1,
+                "pagination_token": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", ["1234567890"]),
+                ("username", ["testuser"]),
+                ("data", [{"id": "1234567890", "username": "testuser"}]),
+            ],
+            test_mock={
+                "get_liking_users": lambda *args, **kwargs: (
+                    ["1234567890"],
+                    ["testuser"],
+                    [{"id": "1234567890", "username": "testuser"}],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_liking_users(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": tweet_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_liking_users(**params))
+
+            if not response.data and not response.meta:
+                raise Exception("No liking users found")
+
+            meta = {}
+            user_ids = []
+            usernames = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                user_ids = [str(user.id) for user in response.data]
+                usernames = [user.username for user in response.data]
+
+                return user_ids, usernames, data, included, meta, next_token
+
+            raise Exception("No liking users found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, usernames, data, included, meta, next_token = self.get_liking_users(
+                credentials,
+                input_data.tweet_id,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "id", ids
+            if usernames:
+                yield "username", usernames
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetLikedTweetsBlock(Block):
+    """
+    Gets information about tweets liked by you
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "like.read", "offline.access"]
+        )
+
+        user_id: str = SchemaField(
+            description="ID of the user to get liked tweets for",
+            placeholder="Enter user ID",
+        )
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (5-100)",
+            placeholder="100",
+            default=10,
+            advanced=True,
+        )
+        pagination_token: str | None = SchemaField(
+            description="Token for getting next/previous page of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list[str] = SchemaField(description="All Tweet IDs")
+        texts: list[str] = SchemaField(description="All Tweet texts")
+        userIds: list[str] = SchemaField(
+            description="List of user ids that authored the tweets"
+        )
+        userNames: list[str] = SchemaField(
+            description="List of user names that authored the tweets"
+        )
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="292e7c78-a630-11ef-9f40-df5dffaca106",
+            description="This block gets information about tweets liked by a user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetLikedTweetsBlock.Input,
+            output_schema=TwitterGetLikedTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "user_id": "1234567890",
+                "max_results": 2,
+                "pagination_token": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["12345", "67890"]),
+                ("texts", ["Tweet 1", "Tweet 2"]),
+                ("userIds", ["67890", "67891"]),
+                ("userNames", ["testuser1", "testuser2"]),
+                (
+                    "data",
+                    [
+                        {"id": "12345", "text": "Tweet 1"},
+                        {"id": "67890", "text": "Tweet 2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_liked_tweets": lambda *args, **kwargs: (
+                    ["12345", "67890"],
+                    ["Tweet 1", "Tweet 2"],
+                    ["67890", "67891"],
+                    ["testuser1", "testuser2"],
+                    [
+                        {"id": "12345", "text": "Tweet 1"},
+                        {"id": "67890", "text": "Tweet 2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_liked_tweets(
+        credentials: TwitterCredentials,
+        user_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": user_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_liked_tweets(**params))
+
+            if not response.data and not response.meta:
+                raise Exception("No liked tweets found")
+
+            meta = {}
+            tweet_ids = []
+            tweet_texts = []
+            user_ids = []
+            user_names = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+                if "users" in response.includes:
+                    user_ids = [str(user["id"]) for user in response.includes["users"]]
+                    user_names = [
+                        user["username"] for user in response.includes["users"]
+                    ]
+
+                return (
+                    tweet_ids,
+                    tweet_texts,
+                    user_ids,
+                    user_names,
+                    data,
+                    included,
+                    meta,
+                    next_token,
+                )
+
+            raise Exception("No liked tweets found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, user_ids, user_names, data, included, meta, next_token = (
+                self.get_liked_tweets(
+                    credentials,
+                    input_data.user_id,
+                    input_data.max_results,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.media_fields,
+                    input_data.place_fields,
+                    input_data.poll_fields,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+            if ids:
+                yield "ids", ids
+            if texts:
+                yield "texts", texts
+            if user_ids:
+                yield "userIds", user_ids
+            if user_names:
+                yield "userNames", user_names
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterUnlikeTweetBlock(Block):
+    """
+    Unlikes a tweet that was previously liked
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "like.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to unlike",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the operation was successful")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="1ed5eab8-a630-11ef-8e21-cbbbc80cbb85",
+            description="This block unlikes a tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUnlikeTweetBlock.Input,
+            output_schema=TwitterUnlikeTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"unlike_tweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def unlike_tweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unlike(tweet_id=tweet_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.unlike_tweet(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/manage.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/manage.py
new file mode 100644
index 000000000000..6dca0d74c833
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/manage.py
@@ -0,0 +1,550 @@
+from datetime import datetime
+from typing import List, Literal, Optional, Union, cast
+
+import tweepy
+from pydantic import BaseModel
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import (
+    TweetDurationBuilder,
+    TweetExpansionsBuilder,
+    TweetPostBuilder,
+    TweetSearchBuilder,
+)
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetReplySettingsFilter,
+    TweetTimeWindowInputs,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class Media(BaseModel):
+    discriminator: Literal["media"]
+    media_ids: Optional[List[str]] = None
+    media_tagged_user_ids: Optional[List[str]] = None
+
+
+class DeepLink(BaseModel):
+    discriminator: Literal["deep_link"]
+    direct_message_deep_link: Optional[str] = None
+
+
+class Poll(BaseModel):
+    discriminator: Literal["poll"]
+    poll_options: Optional[List[str]] = None
+    poll_duration_minutes: Optional[int] = None
+
+
+class Place(BaseModel):
+    discriminator: Literal["place"]
+    place_id: Optional[str] = None
+
+
+class Quote(BaseModel):
+    discriminator: Literal["quote"]
+    quote_tweet_id: Optional[str] = None
+
+
+class TwitterPostTweetBlock(Block):
+    """
+    Create a tweet on Twitter with the option to include one additional element such as a media, quote, or deep link.
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "tweet.write", "users.read", "offline.access"]
+        )
+
+        tweet_text: str | None = SchemaField(
+            description="Text of the tweet to post",
+            placeholder="Enter your tweet",
+            default=None,
+            advanced=False,
+        )
+
+        for_super_followers_only: bool = SchemaField(
+            description="Tweet exclusively for Super Followers",
+            placeholder="Enter for super followers only",
+            advanced=True,
+            default=False,
+        )
+
+        attachment: Union[Media, DeepLink, Poll, Place, Quote] | None = SchemaField(
+            discriminator="discriminator",
+            description="Additional tweet data (media, deep link, poll, place or quote)",
+            advanced=False,
+            default=Media(discriminator="media"),
+        )
+
+        exclude_reply_user_ids: Optional[List[str]] = SchemaField(
+            description="User IDs to exclude from reply Tweet thread. [ex - 6253282]",
+            placeholder="Enter user IDs to exclude",
+            advanced=True,
+            default=None,
+        )
+
+        in_reply_to_tweet_id: Optional[str] = SchemaField(
+            description="Tweet ID being replied to. Please note that in_reply_to_tweet_id needs to be in the request if exclude_reply_user_ids is present",
+            default=None,
+            placeholder="Enter in reply to tweet ID",
+            advanced=True,
+        )
+
+        reply_settings: TweetReplySettingsFilter = SchemaField(
+            description="Who can reply to the Tweet (mentionedUsers or following)",
+            placeholder="Enter reply settings",
+            advanced=True,
+            default=TweetReplySettingsFilter(All_Users=True),
+        )
+
+    class Output(BlockSchema):
+        tweet_id: str = SchemaField(description="ID of the created tweet")
+        tweet_url: str = SchemaField(description="URL to the tweet")
+        error: str = SchemaField(
+            description="Error message if the tweet posting failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="7bb0048a-a630-11ef-aeb8-abc0dadb9b12",
+            description="This block posts a tweet on Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterPostTweetBlock.Input,
+            output_schema=TwitterPostTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_text": "This is a test tweet.",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "attachment": {
+                    "discriminator": "deep_link",
+                    "direct_message_deep_link": "https://twitter.com/messages/compose",
+                },
+                "for_super_followers_only": False,
+                "exclude_reply_user_ids": [],
+                "in_reply_to_tweet_id": "",
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("tweet_id", "1234567890"),
+                ("tweet_url", "https://twitter.com/user/status/1234567890"),
+            ],
+            test_mock={
+                "post_tweet": lambda *args, **kwargs: (
+                    "1234567890",
+                    "https://twitter.com/user/status/1234567890",
+                )
+            },
+        )
+
+    def post_tweet(
+        self,
+        credentials: TwitterCredentials,
+        input_txt: str | None,
+        attachment: Union[Media, DeepLink, Poll, Place, Quote] | None,
+        for_super_followers_only: bool,
+        exclude_reply_user_ids: Optional[List[str]],
+        in_reply_to_tweet_id: Optional[str],
+        reply_settings: TweetReplySettingsFilter,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = (
+                TweetPostBuilder()
+                .add_text(input_txt)
+                .add_super_followers(for_super_followers_only)
+                .add_reply_settings(
+                    exclude_reply_user_ids or [],
+                    in_reply_to_tweet_id or "",
+                    reply_settings,
+                )
+            )
+
+            if isinstance(attachment, Media):
+                params.add_media(
+                    attachment.media_ids or [], attachment.media_tagged_user_ids or []
+                )
+            elif isinstance(attachment, DeepLink):
+                params.add_deep_link(attachment.direct_message_deep_link or "")
+            elif isinstance(attachment, Poll):
+                params.add_poll_options(attachment.poll_options or [])
+                params.add_poll_duration(attachment.poll_duration_minutes or 0)
+            elif isinstance(attachment, Place):
+                params.add_place(attachment.place_id or "")
+            elif isinstance(attachment, Quote):
+                params.add_quote(attachment.quote_tweet_id or "")
+
+            tweet = cast(Response, client.create_tweet(**params.build()))
+
+            if not tweet.data:
+                raise Exception("Failed to create tweet")
+
+            tweet_id = tweet.data["id"]
+            tweet_url = f"https://twitter.com/user/status/{tweet_id}"
+            return str(tweet_id), tweet_url
+
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            tweet_id, tweet_url = self.post_tweet(
+                credentials,
+                input_data.tweet_text,
+                input_data.attachment,
+                input_data.for_super_followers_only,
+                input_data.exclude_reply_user_ids,
+                input_data.in_reply_to_tweet_id,
+                input_data.reply_settings,
+            )
+            yield "tweet_id", tweet_id
+            yield "tweet_url", tweet_url
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterDeleteTweetBlock(Block):
+    """
+    Deletes a tweet on Twitter using twitter Id
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "tweet.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to delete",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the tweet was successfully deleted"
+        )
+        error: str = SchemaField(
+            description="Error message if the tweet deletion failed"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="761babf0-a630-11ef-a03d-abceb082f58f",
+            description="This block deletes a tweet on Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterDeleteTweetBlock.Input,
+            output_schema=TwitterDeleteTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"delete_tweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def delete_tweet(credentials: TwitterCredentials, tweet_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+            client.delete_tweet(id=tweet_id, user_auth=False)
+            return True
+        except tweepy.TweepyException:
+            raise
+        except Exception:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.delete_tweet(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterSearchRecentTweetsBlock(Block):
+    """
+    Searches all public Tweets in Twitter history
+    """
+
+    class Input(TweetExpansionInputs, TweetTimeWindowInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        query: str = SchemaField(
+            description="Search query (up to 1024 characters)",
+            placeholder="Enter search query",
+        )
+
+        max_results: int = SchemaField(
+            description="Maximum number of results per page (10-500)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination: str | None = SchemaField(
+            description="Token for pagination",
+            default="",
+            placeholder="Enter pagination token",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        tweet_ids: list[str] = SchemaField(description="All Tweet IDs")
+        tweet_texts: list[str] = SchemaField(description="All Tweet texts")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="53e5cf8e-a630-11ef-ba85-df6d666fa5d5",
+            description="This block searches all public Tweets in Twitter history.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterSearchRecentTweetsBlock.Input,
+            output_schema=TwitterSearchRecentTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "query": "from:twitterapi #twitterapi",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "max_results": 2,
+                "start_time": "2024-12-14T18:30:00.000Z",
+                "end_time": "2024-12-17T18:30:00.000Z",
+                "since_id": None,
+                "until_id": None,
+                "sort_order": None,
+                "pagination": None,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("tweet_ids", ["1373001119480344583", "1372627771717869568"]),
+                (
+                    "tweet_texts",
+                    [
+                        "Looking to get started with the Twitter API but new to APIs in general?",
+                        "Thanks to everyone who joined and made today a great session!",
+                    ],
+                ),
+                (
+                    "data",
+                    [
+                        {
+                            "id": "1373001119480344583",
+                            "text": "Looking to get started with the Twitter API but new to APIs in general?",
+                        },
+                        {
+                            "id": "1372627771717869568",
+                            "text": "Thanks to everyone who joined and made today a great session!",
+                        },
+                    ],
+                ),
+            ],
+            test_mock={
+                "search_tweets": lambda *args, **kwargs: (
+                    ["1373001119480344583", "1372627771717869568"],
+                    [
+                        "Looking to get started with the Twitter API but new to APIs in general?",
+                        "Thanks to everyone who joined and made today a great session!",
+                    ],
+                    [
+                        {
+                            "id": "1373001119480344583",
+                            "text": "Looking to get started with the Twitter API but new to APIs in general?",
+                        },
+                        {
+                            "id": "1372627771717869568",
+                            "text": "Thanks to everyone who joined and made today a great session!",
+                        },
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def search_tweets(
+        credentials: TwitterCredentials,
+        query: str,
+        max_results: int,
+        start_time: datetime | None,
+        end_time: datetime | None,
+        since_id: str | None,
+        until_id: str | None,
+        sort_order: str | None,
+        pagination: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            # Building common params
+            params = (
+                TweetSearchBuilder()
+                .add_query(query)
+                .add_pagination(max_results, pagination)
+                .build()
+            )
+
+            # Adding expansions to params If required by the user
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            # Adding time window to params If required by the user
+            params = (
+                TweetDurationBuilder(params)
+                .add_start_time(start_time)
+                .add_end_time(end_time)
+                .add_since_id(since_id)
+                .add_until_id(until_id)
+                .add_sort_order(sort_order)
+                .build()
+            )
+
+            response = cast(Response, client.search_recent_tweets(**params))
+
+            if not response.data and not response.meta:
+                raise Exception("No tweets found")
+
+            meta = {}
+            tweet_ids = []
+            tweet_texts = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+                return tweet_ids, tweet_texts, data, included, meta, next_token
+
+            raise Exception("No tweets found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, data, included, meta, next_token = self.search_tweets(
+                credentials,
+                input_data.query,
+                input_data.max_results,
+                input_data.start_time,
+                input_data.end_time,
+                input_data.since_id,
+                input_data.until_id,
+                input_data.sort_order,
+                input_data.pagination,
+                input_data.expansions,
+                input_data.media_fields,
+                input_data.place_fields,
+                input_data.poll_fields,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "tweet_ids", ids
+            if texts:
+                yield "tweet_texts", texts
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/quote.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/quote.py
new file mode 100644
index 000000000000..b15271b07282
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/quote.py
@@ -0,0 +1,224 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import TweetExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExcludesFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterGetQuoteTweetsBlock(Block):
+    """
+    Gets quote tweets for a specified tweet ID
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to get quotes for",
+            placeholder="Enter tweet ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Number of results to return (max 100)",
+            default=10,
+            advanced=True,
+        )
+
+        exclude: TweetExcludesFilter | None = SchemaField(
+            description="Types of tweets to exclude", advanced=True, default=None
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination",
+            advanced=True,
+            default="",
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list = SchemaField(description="All Tweet IDs ")
+        texts: list = SchemaField(description="All Tweet texts")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="9fbdd208-a630-11ef-9b97-ab7a3a695ca3",
+            description="This block gets quote tweets for a specific tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetQuoteTweetsBlock.Input,
+            output_schema=TwitterGetQuoteTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "max_results": 2,
+                "pagination_token": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["12345", "67890"]),
+                ("texts", ["Tweet 1", "Tweet 2"]),
+                (
+                    "data",
+                    [
+                        {"id": "12345", "text": "Tweet 1"},
+                        {"id": "67890", "text": "Tweet 2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_quote_tweets": lambda *args, **kwargs: (
+                    ["12345", "67890"],
+                    ["Tweet 1", "Tweet 2"],
+                    [
+                        {"id": "12345", "text": "Tweet 1"},
+                        {"id": "67890", "text": "Tweet 2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_quote_tweets(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+        max_results: int | None,
+        exclude: TweetExcludesFilter | None,
+        pagination_token: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": tweet_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "exclude": None if exclude == TweetExcludesFilter() else exclude,
+                "user_auth": False,
+            }
+
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_quote_tweets(**params))
+
+            meta = {}
+            tweet_ids = []
+            tweet_texts = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+                return tweet_ids, tweet_texts, data, included, meta, next_token
+
+            raise Exception("No quote tweets found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, data, included, meta, next_token = self.get_quote_tweets(
+                credentials,
+                input_data.tweet_id,
+                input_data.max_results,
+                input_data.exclude,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.media_fields,
+                input_data.place_fields,
+                input_data.poll_fields,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "ids", ids
+            if texts:
+                yield "texts", texts
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/retweet.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/retweet.py
new file mode 100644
index 000000000000..9b1ba81b788f
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/retweet.py
@@ -0,0 +1,367 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import UserExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    TweetFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterRetweetBlock(Block):
+    """
+    Retweets a tweet on Twitter
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "tweet.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to retweet",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(description="Whether the retweet was successful")
+        error: str = SchemaField(description="Error message if the retweet failed")
+
+    def __init__(self):
+        super().__init__(
+            id="bd7b8d3a-a630-11ef-be96-6f4aa4c3c4f4",
+            description="This block retweets a tweet on Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterRetweetBlock.Input,
+            output_schema=TwitterRetweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"retweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def retweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.retweet(
+                tweet_id=tweet_id,
+                user_auth=False,
+            )
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.retweet(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterRemoveRetweetBlock(Block):
+    """
+    Removes a retweet on Twitter
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "tweet.write", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to remove retweet",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the retweet was successfully removed"
+        )
+        error: str = SchemaField(description="Error message if the removal failed")
+
+    def __init__(self):
+        super().__init__(
+            id="b6e663f0-a630-11ef-a7f0-8b9b0c542ff8",
+            description="This block removes a retweet on Twitter.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterRemoveRetweetBlock.Input,
+            output_schema=TwitterRemoveRetweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"remove_retweet": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def remove_retweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unretweet(
+                source_tweet_id=tweet_id,
+                user_auth=False,
+            )
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.remove_retweet(
+                credentials,
+                input_data.tweet_id,
+            )
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetRetweetersBlock(Block):
+    """
+    Gets information about who has retweeted a tweet
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="ID of the tweet to get retweeters for",
+            placeholder="Enter tweet ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results per page (1-100)",
+            default=10,
+            placeholder="Enter max results",
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination",
+            placeholder="Enter pagination token",
+            default="",
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list = SchemaField(description="List of user ids who retweeted")
+        names: list = SchemaField(description="List of user names who retweeted")
+        usernames: list = SchemaField(
+            description="List of user usernames who retweeted"
+        )
+        next_token: str = SchemaField(description="Token for next page of results")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="ad7aa6fa-a630-11ef-a6b0-e7ca640aa030",
+            description="This block gets information about who has retweeted a tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetRetweetersBlock.Input,
+            output_schema=TwitterGetRetweetersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1234567890",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "max_results": 1,
+                "pagination_token": "",
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["12345"]),
+                ("names", ["Test User"]),
+                ("usernames", ["testuser"]),
+                (
+                    "data",
+                    [{"id": "12345", "name": "Test User", "username": "testuser"}],
+                ),
+            ],
+            test_mock={
+                "get_retweeters": lambda *args, **kwargs: (
+                    [{"id": "12345", "name": "Test User", "username": "testuser"}],
+                    {},
+                    {},
+                    ["12345"],
+                    ["Test User"],
+                    ["testuser"],
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_retweeters(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": tweet_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_retweeters(**params))
+
+            meta = {}
+            ids = []
+            names = []
+            usernames = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                ids = [str(user.id) for user in response.data]
+                names = [user.name for user in response.data]
+                usernames = [user.username for user in response.data]
+                return data, included, meta, ids, names, usernames, next_token
+
+            raise Exception("No retweeters found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            data, included, meta, ids, names, usernames, next_token = (
+                self.get_retweeters(
+                    credentials,
+                    input_data.tweet_id,
+                    input_data.max_results,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+
+            if ids:
+                yield "ids", ids
+            if names:
+                yield "names", names
+            if usernames:
+                yield "usernames", usernames
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/timeline.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/timeline.py
new file mode 100644
index 000000000000..ca89039c2eca
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/timeline.py
@@ -0,0 +1,761 @@
+from datetime import datetime
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import (
+    TweetDurationBuilder,
+    TweetExpansionsBuilder,
+)
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetTimeWindowInputs,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterGetUserMentionsBlock(Block):
+    """
+    Returns Tweets where a single user is mentioned, just put that user id
+    """
+
+    class Input(TweetExpansionInputs, TweetTimeWindowInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        user_id: str = SchemaField(
+            description="Unique identifier of the user for whom to return Tweets mentioning the user",
+            placeholder="Enter user ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Number of tweets to retrieve (5-100)",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination", default="", advanced=True
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list[str] = SchemaField(description="List of Tweet IDs")
+        texts: list[str] = SchemaField(description="All Tweet texts")
+
+        userIds: list[str] = SchemaField(
+            description="List of user ids that mentioned the user"
+        )
+        userNames: list[str] = SchemaField(
+            description="List of user names that mentioned the user"
+        )
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="e01c890c-a630-11ef-9e20-37da24888bd0",
+            description="This block retrieves Tweets mentioning a specific user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetUserMentionsBlock.Input,
+            output_schema=TwitterGetUserMentionsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "user_id": "12345",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "max_results": 2,
+                "start_time": "2024-12-14T18:30:00.000Z",
+                "end_time": "2024-12-17T18:30:00.000Z",
+                "since_id": "",
+                "until_id": "",
+                "sort_order": None,
+                "pagination_token": None,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1373001119480344583", "1372627771717869568"]),
+                ("texts", ["Test mention 1", "Test mention 2"]),
+                ("userIds", ["67890", "67891"]),
+                ("userNames", ["testuser1", "testuser2"]),
+                (
+                    "data",
+                    [
+                        {"id": "1373001119480344583", "text": "Test mention 1"},
+                        {"id": "1372627771717869568", "text": "Test mention 2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_mentions": lambda *args, **kwargs: (
+                    ["1373001119480344583", "1372627771717869568"],
+                    ["Test mention 1", "Test mention 2"],
+                    ["67890", "67891"],
+                    ["testuser1", "testuser2"],
+                    [
+                        {"id": "1373001119480344583", "text": "Test mention 1"},
+                        {"id": "1372627771717869568", "text": "Test mention 2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_mentions(
+        credentials: TwitterCredentials,
+        user_id: str,
+        max_results: int | None,
+        start_time: datetime | None,
+        end_time: datetime | None,
+        since_id: str | None,
+        until_id: str | None,
+        sort_order: str | None,
+        pagination: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": user_id,
+                "max_results": max_results,
+                "pagination_token": None if pagination == "" else pagination,
+                "user_auth": False,
+            }
+
+            # Adding expansions to params If required by the user
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            # Adding time window to params If required by the user
+            params = (
+                TweetDurationBuilder(params)
+                .add_start_time(start_time)
+                .add_end_time(end_time)
+                .add_since_id(since_id)
+                .add_until_id(until_id)
+                .add_sort_order(sort_order)
+                .build()
+            )
+
+            response = cast(
+                Response,
+                client.get_users_mentions(**params),
+            )
+
+            if not response.data and not response.meta:
+                raise Exception("No tweets found")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+            meta = response.meta or {}
+            next_token = meta.get("next_token", "")
+
+            tweet_ids = []
+            tweet_texts = []
+            user_ids = []
+            user_names = []
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+            if "users" in included:
+                user_ids = [str(user["id"]) for user in included["users"]]
+                user_names = [user["username"] for user in included["users"]]
+
+            return (
+                tweet_ids,
+                tweet_texts,
+                user_ids,
+                user_names,
+                data,
+                included,
+                meta,
+                next_token,
+            )
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, user_ids, user_names, data, included, meta, next_token = (
+                self.get_mentions(
+                    credentials,
+                    input_data.user_id,
+                    input_data.max_results,
+                    input_data.start_time,
+                    input_data.end_time,
+                    input_data.since_id,
+                    input_data.until_id,
+                    input_data.sort_order,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.media_fields,
+                    input_data.place_fields,
+                    input_data.poll_fields,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+            if ids:
+                yield "ids", ids
+            if texts:
+                yield "texts", texts
+            if user_ids:
+                yield "userIds", user_ids
+            if user_names:
+                yield "userNames", user_names
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetHomeTimelineBlock(Block):
+    """
+    Returns a collection of the most recent Tweets and Retweets posted by you and users you follow
+    """
+
+    class Input(TweetExpansionInputs, TweetTimeWindowInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        max_results: int | None = SchemaField(
+            description="Number of tweets to retrieve (5-100)",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination", default="", advanced=True
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list[str] = SchemaField(description="List of Tweet IDs")
+        texts: list[str] = SchemaField(description="All Tweet texts")
+
+        userIds: list[str] = SchemaField(
+            description="List of user ids that authored the tweets"
+        )
+        userNames: list[str] = SchemaField(
+            description="List of user names that authored the tweets"
+        )
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="d222a070-a630-11ef-a18a-3f52f76c6962",
+            description="This block retrieves the authenticated user's home timeline.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetHomeTimelineBlock.Input,
+            output_schema=TwitterGetHomeTimelineBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "max_results": 2,
+                "start_time": "2024-12-14T18:30:00.000Z",
+                "end_time": "2024-12-17T18:30:00.000Z",
+                "since_id": None,
+                "until_id": None,
+                "sort_order": None,
+                "pagination_token": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1373001119480344583", "1372627771717869568"]),
+                ("texts", ["Test tweet 1", "Test tweet 2"]),
+                ("userIds", ["67890", "67891"]),
+                ("userNames", ["testuser1", "testuser2"]),
+                (
+                    "data",
+                    [
+                        {"id": "1373001119480344583", "text": "Test tweet 1"},
+                        {"id": "1372627771717869568", "text": "Test tweet 2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_timeline": lambda *args, **kwargs: (
+                    ["1373001119480344583", "1372627771717869568"],
+                    ["Test tweet 1", "Test tweet 2"],
+                    ["67890", "67891"],
+                    ["testuser1", "testuser2"],
+                    [
+                        {"id": "1373001119480344583", "text": "Test tweet 1"},
+                        {"id": "1372627771717869568", "text": "Test tweet 2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_timeline(
+        credentials: TwitterCredentials,
+        max_results: int | None,
+        start_time: datetime | None,
+        end_time: datetime | None,
+        since_id: str | None,
+        until_id: str | None,
+        sort_order: str | None,
+        pagination: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "max_results": max_results,
+                "pagination_token": None if pagination == "" else pagination,
+                "user_auth": False,
+            }
+
+            # Adding expansions to params If required by the user
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            # Adding time window to params If required by the user
+            params = (
+                TweetDurationBuilder(params)
+                .add_start_time(start_time)
+                .add_end_time(end_time)
+                .add_since_id(since_id)
+                .add_until_id(until_id)
+                .add_sort_order(sort_order)
+                .build()
+            )
+
+            response = cast(
+                Response,
+                client.get_home_timeline(**params),
+            )
+
+            if not response.data and not response.meta:
+                raise Exception("No tweets found")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+            meta = response.meta or {}
+            next_token = meta.get("next_token", "")
+
+            tweet_ids = []
+            tweet_texts = []
+            user_ids = []
+            user_names = []
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+            if "users" in included:
+                user_ids = [str(user["id"]) for user in included["users"]]
+                user_names = [user["username"] for user in included["users"]]
+
+            return (
+                tweet_ids,
+                tweet_texts,
+                user_ids,
+                user_names,
+                data,
+                included,
+                meta,
+                next_token,
+            )
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, user_ids, user_names, data, included, meta, next_token = (
+                self.get_timeline(
+                    credentials,
+                    input_data.max_results,
+                    input_data.start_time,
+                    input_data.end_time,
+                    input_data.since_id,
+                    input_data.until_id,
+                    input_data.sort_order,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.media_fields,
+                    input_data.place_fields,
+                    input_data.poll_fields,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+            if ids:
+                yield "ids", ids
+            if texts:
+                yield "texts", texts
+            if user_ids:
+                yield "userIds", user_ids
+            if user_names:
+                yield "userNames", user_names
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetUserTweetsBlock(Block):
+    """
+    Returns Tweets composed by a single user, specified by the requested user ID
+    """
+
+    class Input(TweetExpansionInputs, TweetTimeWindowInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        user_id: str = SchemaField(
+            description="Unique identifier of the Twitter account (user ID) for whom to return results",
+            placeholder="Enter user ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Number of tweets to retrieve (5-100)",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for pagination", default="", advanced=True
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list[str] = SchemaField(description="List of Tweet IDs")
+        texts: list[str] = SchemaField(description="All Tweet texts")
+
+        userIds: list[str] = SchemaField(
+            description="List of user ids that authored the tweets"
+        )
+        userNames: list[str] = SchemaField(
+            description="List of user names that authored the tweets"
+        )
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(
+            description="Provides metadata such as pagination info (next_token) or result counts"
+        )
+
+        # error
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="c44c3ef2-a630-11ef-9ff7-eb7b5ea3a5cb",
+            description="This block retrieves Tweets composed by a single user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetUserTweetsBlock.Input,
+            output_schema=TwitterGetUserTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "user_id": "12345",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "max_results": 2,
+                "start_time": "2024-12-14T18:30:00.000Z",
+                "end_time": "2024-12-17T18:30:00.000Z",
+                "since_id": None,
+                "until_id": None,
+                "sort_order": None,
+                "pagination_token": None,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1373001119480344583", "1372627771717869568"]),
+                ("texts", ["Test tweet 1", "Test tweet 2"]),
+                ("userIds", ["67890", "67891"]),
+                ("userNames", ["testuser1", "testuser2"]),
+                (
+                    "data",
+                    [
+                        {"id": "1373001119480344583", "text": "Test tweet 1"},
+                        {"id": "1372627771717869568", "text": "Test tweet 2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_user_tweets": lambda *args, **kwargs: (
+                    ["1373001119480344583", "1372627771717869568"],
+                    ["Test tweet 1", "Test tweet 2"],
+                    ["67890", "67891"],
+                    ["testuser1", "testuser2"],
+                    [
+                        {"id": "1373001119480344583", "text": "Test tweet 1"},
+                        {"id": "1372627771717869568", "text": "Test tweet 2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_user_tweets(
+        credentials: TwitterCredentials,
+        user_id: str,
+        max_results: int | None,
+        start_time: datetime | None,
+        end_time: datetime | None,
+        since_id: str | None,
+        until_id: str | None,
+        sort_order: str | None,
+        pagination: str | None,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": user_id,
+                "max_results": max_results,
+                "pagination_token": None if pagination == "" else pagination,
+                "user_auth": False,
+            }
+
+            # Adding expansions to params If required by the user
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            # Adding time window to params If required by the user
+            params = (
+                TweetDurationBuilder(params)
+                .add_start_time(start_time)
+                .add_end_time(end_time)
+                .add_since_id(since_id)
+                .add_until_id(until_id)
+                .add_sort_order(sort_order)
+                .build()
+            )
+
+            response = cast(
+                Response,
+                client.get_users_tweets(**params),
+            )
+
+            if not response.data and not response.meta:
+                raise Exception("No tweets found")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+            meta = response.meta or {}
+            next_token = meta.get("next_token", "")
+
+            tweet_ids = []
+            tweet_texts = []
+            user_ids = []
+            user_names = []
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+            if "users" in included:
+                user_ids = [str(user["id"]) for user in included["users"]]
+                user_names = [user["username"] for user in included["users"]]
+
+            return (
+                tweet_ids,
+                tweet_texts,
+                user_ids,
+                user_names,
+                data,
+                included,
+                meta,
+                next_token,
+            )
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, user_ids, user_names, data, included, meta, next_token = (
+                self.get_user_tweets(
+                    credentials,
+                    input_data.user_id,
+                    input_data.max_results,
+                    input_data.start_time,
+                    input_data.end_time,
+                    input_data.since_id,
+                    input_data.until_id,
+                    input_data.sort_order,
+                    input_data.pagination_token,
+                    input_data.expansions,
+                    input_data.media_fields,
+                    input_data.place_fields,
+                    input_data.poll_fields,
+                    input_data.tweet_fields,
+                    input_data.user_fields,
+                )
+            )
+            if ids:
+                yield "ids", ids
+            if texts:
+                yield "texts", texts
+            if user_ids:
+                yield "userIds", user_ids
+            if user_names:
+                yield "userNames", user_names
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/tweets/tweet_lookup.py b/autogpt_platform/backend/backend/blocks/twitter/tweets/tweet_lookup.py
new file mode 100644
index 000000000000..5021161b9e9e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/tweets/tweet_lookup.py
@@ -0,0 +1,364 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import TweetExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    ExpansionFilter,
+    TweetExpansionInputs,
+    TweetFieldsFilter,
+    TweetMediaFieldsFilter,
+    TweetPlaceFieldsFilter,
+    TweetPollFieldsFilter,
+    TweetUserFieldsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterGetTweetBlock(Block):
+    """
+    Returns information about a single Tweet specified by the requested ID
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        tweet_id: str = SchemaField(
+            description="Unique identifier of the Tweet to request (ex: 1460323737035677698)",
+            placeholder="Enter tweet ID",
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        id: str = SchemaField(description="Tweet ID")
+        text: str = SchemaField(description="Tweet text")
+        userId: str = SchemaField(description="ID of the tweet author")
+        userName: str = SchemaField(description="Username of the tweet author")
+
+        # Complete Outputs for advanced use
+        data: dict = SchemaField(description="Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(description="Metadata about the tweet")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="f5155c3a-a630-11ef-9cc1-a309988b4d92",
+            description="This block retrieves information about a specific Tweet.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetTweetBlock.Input,
+            output_schema=TwitterGetTweetBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_id": "1460323737035677698",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "1460323737035677698"),
+                ("text", "Test tweet content"),
+                ("userId", "12345"),
+                ("userName", "testuser"),
+                ("data", {"id": "1460323737035677698", "text": "Test tweet content"}),
+                ("included", {"users": [{"id": "12345", "username": "testuser"}]}),
+                ("meta", {"result_count": 1}),
+            ],
+            test_mock={
+                "get_tweet": lambda *args, **kwargs: (
+                    {"id": "1460323737035677698", "text": "Test tweet content"},
+                    {"users": [{"id": "12345", "username": "testuser"}]},
+                    {"result_count": 1},
+                    "12345",
+                    "testuser",
+                )
+            },
+        )
+
+    @staticmethod
+    def get_tweet(
+        credentials: TwitterCredentials,
+        tweet_id: str,
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+            params = {"id": tweet_id, "user_auth": False}
+
+            # Adding expansions to params If required by the user
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_tweet(**params))
+
+            meta = {}
+            user_id = ""
+            user_name = ""
+
+            if response.meta:
+                meta = response.meta
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_dict(response.data)
+
+            if included and "users" in included:
+                user_id = str(included["users"][0]["id"])
+                user_name = included["users"][0]["username"]
+
+            if response.data:
+                return data, included, meta, user_id, user_name
+
+            raise Exception("Tweet not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+
+            tweet_data, included, meta, user_id, user_name = self.get_tweet(
+                credentials,
+                input_data.tweet_id,
+                input_data.expansions,
+                input_data.media_fields,
+                input_data.place_fields,
+                input_data.poll_fields,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+
+            yield "id", str(tweet_data["id"])
+            yield "text", tweet_data["text"]
+            if user_id:
+                yield "userId", user_id
+            if user_name:
+                yield "userName", user_name
+            yield "data", tweet_data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetTweetsBlock(Block):
+    """
+    Returns information about multiple Tweets specified by the requested IDs
+    """
+
+    class Input(TweetExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["tweet.read", "users.read", "offline.access"]
+        )
+
+        tweet_ids: list[str] = SchemaField(
+            description="List of Tweet IDs to request (up to 100)",
+            placeholder="Enter tweet IDs",
+        )
+
+    class Output(BlockSchema):
+        # Common Outputs that user commonly uses
+        ids: list[str] = SchemaField(description="All Tweet IDs")
+        texts: list[str] = SchemaField(description="All Tweet texts")
+        userIds: list[str] = SchemaField(
+            description="List of user ids that authored the tweets"
+        )
+        userNames: list[str] = SchemaField(
+            description="List of user names that authored the tweets"
+        )
+
+        # Complete Outputs for advanced use
+        data: list[dict] = SchemaField(description="Complete Tweet data")
+        included: dict = SchemaField(
+            description="Additional data that you have requested (Optional) via Expansions field"
+        )
+        meta: dict = SchemaField(description="Metadata about the tweets")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="e7cc5420-a630-11ef-bfaf-13bdd8096a51",
+            description="This block retrieves information about multiple Tweets.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetTweetsBlock.Input,
+            output_schema=TwitterGetTweetsBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "tweet_ids": ["1460323737035677698"],
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "media_fields": None,
+                "place_fields": None,
+                "poll_fields": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1460323737035677698"]),
+                ("texts", ["Test tweet content"]),
+                ("userIds", ["67890"]),
+                ("userNames", ["testuser1"]),
+                ("data", [{"id": "1460323737035677698", "text": "Test tweet content"}]),
+                ("included", {"users": [{"id": "67890", "username": "testuser1"}]}),
+                ("meta", {"result_count": 1}),
+            ],
+            test_mock={
+                "get_tweets": lambda *args, **kwargs: (
+                    ["1460323737035677698"],  # ids
+                    ["Test tweet content"],  # texts
+                    ["67890"],  # user_ids
+                    ["testuser1"],  # user_names
+                    [
+                        {"id": "1460323737035677698", "text": "Test tweet content"}
+                    ],  # data
+                    {"users": [{"id": "67890", "username": "testuser1"}]},  # included
+                    {"result_count": 1},  # meta
+                )
+            },
+        )
+
+    @staticmethod
+    def get_tweets(
+        credentials: TwitterCredentials,
+        tweet_ids: list[str],
+        expansions: ExpansionFilter | None,
+        media_fields: TweetMediaFieldsFilter | None,
+        place_fields: TweetPlaceFieldsFilter | None,
+        poll_fields: TweetPollFieldsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+            params = {"ids": tweet_ids, "user_auth": False}
+
+            # Adding expansions to params If required by the user
+            params = (
+                TweetExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_media_fields(media_fields)
+                .add_place_fields(place_fields)
+                .add_poll_fields(poll_fields)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_tweets(**params))
+
+            if not response.data and not response.meta:
+                raise Exception("No tweets found")
+
+            tweet_ids = []
+            tweet_texts = []
+            user_ids = []
+            user_names = []
+            meta = {}
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                tweet_ids = [str(tweet.id) for tweet in response.data]
+                tweet_texts = [tweet.text for tweet in response.data]
+
+            if included and "users" in included:
+                for user in included["users"]:
+                    user_ids.append(str(user["id"]))
+                    user_names.append(user["username"])
+
+            if response.meta:
+                meta = response.meta
+
+            return tweet_ids, tweet_texts, user_ids, user_names, data, included, meta
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, texts, user_ids, user_names, data, included, meta = self.get_tweets(
+                credentials,
+                input_data.tweet_ids,
+                input_data.expansions,
+                input_data.media_fields,
+                input_data.place_fields,
+                input_data.poll_fields,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "ids", ids
+            if texts:
+                yield "texts", texts
+            if user_ids:
+                yield "userIds", user_ids
+            if user_names:
+                yield "userNames", user_names
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/users/blocks.py b/autogpt_platform/backend/backend/blocks/twitter/users/blocks.py
new file mode 100644
index 000000000000..ca118e91e2ed
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/users/blocks.py
@@ -0,0 +1,177 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import UserExpansionsBuilder
+from backend.blocks.twitter._serializer import IncludesSerializer
+from backend.blocks.twitter._types import (
+    TweetFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterGetBlockedUsersBlock(Block):
+    """
+    Get a list of users who are blocked by the authenticating user
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "offline.access", "block.read"]
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (1-1000, default 100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for retrieving next/previous page of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        user_ids: list[str] = SchemaField(description="List of blocked user IDs")
+        usernames_: list[str] = SchemaField(description="List of blocked usernames")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata including pagination info")
+        next_token: str = SchemaField(description="Next token for pagination")
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="05f409e8-a631-11ef-ae89-93de863ee30d",
+            description="This block retrieves a list of users blocked by the authenticating user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetBlockedUsersBlock.Input,
+            output_schema=TwitterGetBlockedUsersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "max_results": 10,
+                "pagination_token": "",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("user_ids", ["12345", "67890"]),
+                ("usernames_", ["testuser1", "testuser2"]),
+            ],
+            test_mock={
+                "get_blocked_users": lambda *args, **kwargs: (
+                    {},  # included
+                    {},  # meta
+                    ["12345", "67890"],  # user_ids
+                    ["testuser1", "testuser2"],  # usernames
+                    None,  # next_token
+                )
+            },
+        )
+
+    @staticmethod
+    def get_blocked_users(
+        credentials: TwitterCredentials,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_blocked(**params))
+
+            meta = {}
+            user_ids = []
+            usernames = []
+            next_token = None
+
+            included = IncludesSerializer.serialize(response.includes)
+
+            if response.data:
+                for user in response.data:
+                    user_ids.append(str(user.id))
+                    usernames.append(user.username)
+
+            if response.meta:
+                meta = response.meta
+                if "next_token" in meta:
+                    next_token = meta["next_token"]
+
+            if user_ids and usernames:
+                return included, meta, user_ids, usernames, next_token
+            else:
+                raise tweepy.TweepyException("No blocked users found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            included, meta, user_ids, usernames, next_token = self.get_blocked_users(
+                credentials,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if user_ids:
+                yield "user_ids", user_ids
+            if usernames:
+                yield "usernames_", usernames
+            if included:
+                yield "included", included
+            if meta:
+                yield "meta", meta
+            if next_token:
+                yield "next_token", next_token
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/users/follows.py b/autogpt_platform/backend/backend/blocks/twitter/users/follows.py
new file mode 100644
index 000000000000..160ffe9b3587
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/users/follows.py
@@ -0,0 +1,515 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import UserExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    TweetFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterUnfollowUserBlock(Block):
+    """
+    Allows a user to unfollow another user specified by target user ID.
+    The request succeeds with no action when the authenticated user sends a request to a user they're not following or have already unfollowed.
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "users.write", "follows.write", "offline.access"]
+        )
+
+        target_user_id: str = SchemaField(
+            description="The user ID of the user that you would like to unfollow",
+            placeholder="Enter target user ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the unfollow action was successful"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="37e386a4-a631-11ef-b7bd-b78204b35fa4",
+            description="This block unfollows a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUnfollowUserBlock.Input,
+            output_schema=TwitterUnfollowUserBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "target_user_id": "12345",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"unfollow_user": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def unfollow_user(credentials: TwitterCredentials, target_user_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unfollow_user(target_user_id=target_user_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.unfollow_user(credentials, input_data.target_user_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterFollowUserBlock(Block):
+    """
+    Allows a user to follow another user specified by target user ID. If the target user does not have public Tweets,
+    this endpoint will send a follow request. The request succeeds with no action when the authenticated user sends a
+    request to a user they're already following, or if they're sending a follower request to a user that does not have
+    public Tweets.
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "users.write", "follows.write", "offline.access"]
+        )
+
+        target_user_id: str = SchemaField(
+            description="The user ID of the user that you would like to follow",
+            placeholder="Enter target user ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the follow action was successful"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="1aae6a5e-a631-11ef-a090-435900c6d429",
+            description="This block follows a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterFollowUserBlock.Input,
+            output_schema=TwitterFollowUserBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "target_user_id": "12345",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[("success", True)],
+            test_mock={"follow_user": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def follow_user(credentials: TwitterCredentials, target_user_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.follow_user(target_user_id=target_user_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.follow_user(credentials, input_data.target_user_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetFollowersBlock(Block):
+    """
+    Retrieves a list of followers for a specified Twitter user ID
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "offline.access", "follows.read"]
+        )
+
+        target_user_id: str = SchemaField(
+            description="The user ID whose followers you would like to retrieve",
+            placeholder="Enter target user ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (1-1000, default 100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for retrieving next/previous page of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        ids: list[str] = SchemaField(description="List of follower user IDs")
+        usernames: list[str] = SchemaField(description="List of follower usernames")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        data: list[dict] = SchemaField(description="Complete user data for followers")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata including pagination info")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="30f66410-a631-11ef-8fe7-d7f888b4f43c",
+            description="This block retrieves followers of a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetFollowersBlock.Input,
+            output_schema=TwitterGetFollowersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "target_user_id": "12345",
+                "max_results": 1,
+                "pagination_token": "",
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1234567890"]),
+                ("usernames", ["testuser"]),
+                ("data", [{"id": "1234567890", "username": "testuser"}]),
+            ],
+            test_mock={
+                "get_followers": lambda *args, **kwargs: (
+                    ["1234567890"],
+                    ["testuser"],
+                    [{"id": "1234567890", "username": "testuser"}],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_followers(
+        credentials: TwitterCredentials,
+        target_user_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": target_user_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_users_followers(**params))
+
+            meta = {}
+            follower_ids = []
+            follower_usernames = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                follower_ids = [str(user.id) for user in response.data]
+                follower_usernames = [user.username for user in response.data]
+
+                return (
+                    follower_ids,
+                    follower_usernames,
+                    data,
+                    included,
+                    meta,
+                    next_token,
+                )
+
+            raise Exception("Followers not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, usernames, data, includes, meta, next_token = self.get_followers(
+                credentials,
+                input_data.target_user_id,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "ids", ids
+            if usernames:
+                yield "usernames", usernames
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if includes:
+                yield "includes", includes
+            if meta:
+                yield "meta", meta
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetFollowingBlock(Block):
+    """
+    Retrieves a list of users that a specified Twitter user ID is following
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "offline.access", "follows.read"]
+        )
+
+        target_user_id: str = SchemaField(
+            description="The user ID whose following you would like to retrieve",
+            placeholder="Enter target user ID",
+        )
+
+        max_results: int | None = SchemaField(
+            description="Maximum number of results to return (1-1000, default 100)",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token for retrieving next/previous page of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        ids: list[str] = SchemaField(description="List of following user IDs")
+        usernames: list[str] = SchemaField(description="List of following usernames")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        data: list[dict] = SchemaField(description="Complete user data for following")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata including pagination info")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="264a399c-a631-11ef-a97d-bfde4ca91173",
+            description="This block retrieves the users that a specified Twitter user is following.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetFollowingBlock.Input,
+            output_schema=TwitterGetFollowingBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "target_user_id": "12345",
+                "max_results": 1,
+                "pagination_token": None,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["1234567890"]),
+                ("usernames", ["testuser"]),
+                ("data", [{"id": "1234567890", "username": "testuser"}]),
+            ],
+            test_mock={
+                "get_following": lambda *args, **kwargs: (
+                    ["1234567890"],
+                    ["testuser"],
+                    [{"id": "1234567890", "username": "testuser"}],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_following(
+        credentials: TwitterCredentials,
+        target_user_id: str,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": target_user_id,
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_users_following(**params))
+
+            meta = {}
+            following_ids = []
+            following_usernames = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                following_ids = [str(user.id) for user in response.data]
+                following_usernames = [user.username for user in response.data]
+
+                return (
+                    following_ids,
+                    following_usernames,
+                    data,
+                    included,
+                    meta,
+                    next_token,
+                )
+
+            raise Exception("Following not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, usernames, data, includes, meta, next_token = self.get_following(
+                credentials,
+                input_data.target_user_id,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "ids", ids
+            if usernames:
+                yield "usernames", usernames
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if includes:
+                yield "includes", includes
+            if meta:
+                yield "meta", meta
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/users/mutes.py b/autogpt_platform/backend/backend/blocks/twitter/users/mutes.py
new file mode 100644
index 000000000000..36bb4028f990
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/users/mutes.py
@@ -0,0 +1,332 @@
+from typing import cast
+
+import tweepy
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import UserExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    TweetFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class TwitterUnmuteUserBlock(Block):
+    """
+    Allows a user to unmute another user specified by target user ID.
+    The request succeeds with no action when the user sends a request to a user they're not muting or have already unmuted.
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "users.write", "offline.access"]
+        )
+
+        target_user_id: str = SchemaField(
+            description="The user ID of the user that you would like to unmute",
+            placeholder="Enter target user ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the unmute action was successful"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="40458504-a631-11ef-940b-eff92be55422",
+            description="This block unmutes a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterUnmuteUserBlock.Input,
+            output_schema=TwitterUnmuteUserBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "target_user_id": "12345",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"unmute_user": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def unmute_user(credentials: TwitterCredentials, target_user_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.unmute(target_user_id=target_user_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.unmute_user(credentials, input_data.target_user_id)
+            yield "success", success
+
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterGetMutedUsersBlock(Block):
+    """
+    Returns a list of users who are muted by the authenticating user
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "offline.access"]
+        )
+
+        max_results: int | None = SchemaField(
+            description="The maximum number of results to be returned per page (1-1000). Default is 100.",
+            placeholder="Enter max results",
+            default=10,
+            advanced=True,
+        )
+
+        pagination_token: str | None = SchemaField(
+            description="Token to request next/previous page of results",
+            placeholder="Enter pagination token",
+            default="",
+            advanced=True,
+        )
+
+    class Output(BlockSchema):
+        ids: list[str] = SchemaField(description="List of muted user IDs")
+        usernames: list[str] = SchemaField(description="List of muted usernames")
+        next_token: str = SchemaField(description="Next token for pagination")
+
+        data: list[dict] = SchemaField(description="Complete user data for muted users")
+        includes: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        meta: dict = SchemaField(description="Metadata including pagination info")
+
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="475024da-a631-11ef-9ccd-f724b8b03cda",
+            description="This block gets a list of users muted by the authenticating user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetMutedUsersBlock.Input,
+            output_schema=TwitterGetMutedUsersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "max_results": 2,
+                "pagination_token": "",
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["12345", "67890"]),
+                ("usernames", ["testuser1", "testuser2"]),
+                (
+                    "data",
+                    [
+                        {"id": "12345", "username": "testuser1"},
+                        {"id": "67890", "username": "testuser2"},
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_muted_users": lambda *args, **kwargs: (
+                    ["12345", "67890"],
+                    ["testuser1", "testuser2"],
+                    [
+                        {"id": "12345", "username": "testuser1"},
+                        {"id": "67890", "username": "testuser2"},
+                    ],
+                    {},
+                    {},
+                    None,
+                )
+            },
+        )
+
+    @staticmethod
+    def get_muted_users(
+        credentials: TwitterCredentials,
+        max_results: int | None,
+        pagination_token: str | None,
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "max_results": max_results,
+                "pagination_token": (
+                    None if pagination_token == "" else pagination_token
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_muted(**params))
+
+            meta = {}
+            user_ids = []
+            usernames = []
+            next_token = None
+
+            if response.meta:
+                meta = response.meta
+                next_token = meta.get("next_token")
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                user_ids = [str(item.id) for item in response.data]
+                usernames = [item.username for item in response.data]
+
+                return user_ids, usernames, data, included, meta, next_token
+
+            raise Exception("Muted users not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            ids, usernames, data, includes, meta, next_token = self.get_muted_users(
+                credentials,
+                input_data.max_results,
+                input_data.pagination_token,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "ids", ids
+            if usernames:
+                yield "usernames", usernames
+            if next_token:
+                yield "next_token", next_token
+            if data:
+                yield "data", data
+            if includes:
+                yield "includes", includes
+            if meta:
+                yield "meta", meta
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class TwitterMuteUserBlock(Block):
+    """
+    Allows a user to mute another user specified by target user ID
+    """
+
+    class Input(BlockSchema):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "users.write", "offline.access"]
+        )
+
+        target_user_id: str = SchemaField(
+            description="The user ID of the user that you would like to mute",
+            placeholder="Enter target user ID",
+        )
+
+    class Output(BlockSchema):
+        success: bool = SchemaField(
+            description="Whether the mute action was successful"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="4d1919d0-a631-11ef-90ab-3b73af9ce8f1",
+            description="This block mutes a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterMuteUserBlock.Input,
+            output_schema=TwitterMuteUserBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "target_user_id": "12345",
+                "credentials": TEST_CREDENTIALS_INPUT,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("success", True),
+            ],
+            test_mock={"mute_user": lambda *args, **kwargs: True},
+        )
+
+    @staticmethod
+    def mute_user(credentials: TwitterCredentials, target_user_id: str):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            client.mute(target_user_id=target_user_id, user_auth=False)
+
+            return True
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            success = self.mute_user(credentials, input_data.target_user_id)
+            yield "success", success
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/twitter/users/user_lookup.py b/autogpt_platform/backend/backend/blocks/twitter/users/user_lookup.py
new file mode 100644
index 000000000000..585ebff3db48
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/twitter/users/user_lookup.py
@@ -0,0 +1,386 @@
+from typing import Literal, Union, cast
+
+import tweepy
+from pydantic import BaseModel
+from tweepy.client import Response
+
+from backend.blocks.twitter._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    TWITTER_OAUTH_IS_CONFIGURED,
+    TwitterCredentials,
+    TwitterCredentialsField,
+    TwitterCredentialsInput,
+)
+from backend.blocks.twitter._builders import UserExpansionsBuilder
+from backend.blocks.twitter._serializer import (
+    IncludesSerializer,
+    ResponseDataSerializer,
+)
+from backend.blocks.twitter._types import (
+    TweetFieldsFilter,
+    TweetUserFieldsFilter,
+    UserExpansionInputs,
+    UserExpansionsFilter,
+)
+from backend.blocks.twitter.tweepy_exceptions import handle_tweepy_exception
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class UserId(BaseModel):
+    discriminator: Literal["user_id"]
+    user_id: str = SchemaField(description="The ID of the user to lookup", default="")
+
+
+class Username(BaseModel):
+    discriminator: Literal["username"]
+    username: str = SchemaField(
+        description="The Twitter username (handle) of the user", default=""
+    )
+
+
+class TwitterGetUserBlock(Block):
+    """
+    Gets information about a single Twitter user specified by ID or username
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "offline.access"]
+        )
+
+        identifier: Union[UserId, Username] = SchemaField(
+            discriminator="discriminator",
+            description="Choose whether to identify the user by their unique Twitter ID or by their username",
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        id: str = SchemaField(description="User ID")
+        username_: str = SchemaField(description="User username")
+        name_: str = SchemaField(description="User name")
+
+        # Complete outputs
+        data: dict = SchemaField(description="Complete user data")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="5446db8e-a631-11ef-812a-cf315d373ee9",
+            description="This block retrieves information about a specified Twitter user.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetUserBlock.Input,
+            output_schema=TwitterGetUserBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "identifier": {"discriminator": "username", "username": "twitter"},
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("id", "783214"),
+                ("username_", "twitter"),
+                ("name_", "Twitter"),
+                (
+                    "data",
+                    {
+                        "user": {
+                            "id": "783214",
+                            "username": "twitter",
+                            "name": "Twitter",
+                        }
+                    },
+                ),
+            ],
+            test_mock={
+                "get_user": lambda *args, **kwargs: (
+                    {
+                        "user": {
+                            "id": "783214",
+                            "username": "twitter",
+                            "name": "Twitter",
+                        }
+                    },
+                    {},
+                    "twitter",
+                    "783214",
+                    "Twitter",
+                )
+            },
+        )
+
+    @staticmethod
+    def get_user(
+        credentials: TwitterCredentials,
+        identifier: Union[UserId, Username],
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "id": identifier.user_id if isinstance(identifier, UserId) else None,
+                "username": (
+                    identifier.username if isinstance(identifier, Username) else None
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_user(**params))
+
+            username = ""
+            id = ""
+            name = ""
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_dict(response.data)
+
+            if response.data:
+                username = response.data.username
+                id = str(response.data.id)
+                name = response.data.name
+
+            if username and id:
+                return data, included, username, id, name
+            else:
+                raise tweepy.TweepyException("User not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            data, included, username, id, name = self.get_user(
+                credentials,
+                input_data.identifier,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if id:
+                yield "id", id
+            if username:
+                yield "username_", username
+            if name:
+                yield "name_", name
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
+
+
+class UserIdList(BaseModel):
+    discriminator: Literal["user_id_list"]
+    user_ids: list[str] = SchemaField(
+        description="List of user IDs to lookup (max 100)",
+        placeholder="Enter user IDs",
+        default_factory=list,
+        advanced=False,
+    )
+
+
+class UsernameList(BaseModel):
+    discriminator: Literal["username_list"]
+    usernames: list[str] = SchemaField(
+        description="List of Twitter usernames/handles to lookup (max 100)",
+        placeholder="Enter usernames",
+        default_factory=list,
+        advanced=False,
+    )
+
+
+class TwitterGetUsersBlock(Block):
+    """
+    Gets information about multiple Twitter users specified by IDs or usernames
+    """
+
+    class Input(UserExpansionInputs):
+        credentials: TwitterCredentialsInput = TwitterCredentialsField(
+            ["users.read", "offline.access"]
+        )
+
+        identifier: Union[UserIdList, UsernameList] = SchemaField(
+            discriminator="discriminator",
+            description="Choose whether to identify users by their unique Twitter IDs or by their usernames",
+            advanced=False,
+        )
+
+    class Output(BlockSchema):
+        # Common outputs
+        ids: list[str] = SchemaField(description="User IDs")
+        usernames_: list[str] = SchemaField(description="User usernames")
+        names_: list[str] = SchemaField(description="User names")
+
+        # Complete outputs
+        data: list[dict] = SchemaField(description="Complete users data")
+        included: dict = SchemaField(
+            description="Additional data requested via expansions"
+        )
+        error: str = SchemaField(description="Error message if the request failed")
+
+    def __init__(self):
+        super().__init__(
+            id="5abc857c-a631-11ef-8cfc-f7b79354f7a1",
+            description="This block retrieves information about multiple Twitter users.",
+            categories={BlockCategory.SOCIAL},
+            input_schema=TwitterGetUsersBlock.Input,
+            output_schema=TwitterGetUsersBlock.Output,
+            disabled=not TWITTER_OAUTH_IS_CONFIGURED,
+            test_input={
+                "identifier": {
+                    "discriminator": "username_list",
+                    "usernames": ["twitter", "twitterdev"],
+                },
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "expansions": None,
+                "tweet_fields": None,
+                "user_fields": None,
+            },
+            test_credentials=TEST_CREDENTIALS,
+            test_output=[
+                ("ids", ["783214", "2244994945"]),
+                ("usernames_", ["twitter", "twitterdev"]),
+                ("names_", ["Twitter", "Twitter Dev"]),
+                (
+                    "data",
+                    [
+                        {"id": "783214", "username": "twitter", "name": "Twitter"},
+                        {
+                            "id": "2244994945",
+                            "username": "twitterdev",
+                            "name": "Twitter Dev",
+                        },
+                    ],
+                ),
+            ],
+            test_mock={
+                "get_users": lambda *args, **kwargs: (
+                    [
+                        {"id": "783214", "username": "twitter", "name": "Twitter"},
+                        {
+                            "id": "2244994945",
+                            "username": "twitterdev",
+                            "name": "Twitter Dev",
+                        },
+                    ],
+                    {},
+                    ["twitter", "twitterdev"],
+                    ["783214", "2244994945"],
+                    ["Twitter", "Twitter Dev"],
+                )
+            },
+        )
+
+    @staticmethod
+    def get_users(
+        credentials: TwitterCredentials,
+        identifier: Union[UserIdList, UsernameList],
+        expansions: UserExpansionsFilter | None,
+        tweet_fields: TweetFieldsFilter | None,
+        user_fields: TweetUserFieldsFilter | None,
+    ):
+        try:
+            client = tweepy.Client(
+                bearer_token=credentials.access_token.get_secret_value()
+            )
+
+            params = {
+                "ids": (
+                    ",".join(identifier.user_ids)
+                    if isinstance(identifier, UserIdList)
+                    else None
+                ),
+                "usernames": (
+                    ",".join(identifier.usernames)
+                    if isinstance(identifier, UsernameList)
+                    else None
+                ),
+                "user_auth": False,
+            }
+
+            params = (
+                UserExpansionsBuilder(params)
+                .add_expansions(expansions)
+                .add_tweet_fields(tweet_fields)
+                .add_user_fields(user_fields)
+                .build()
+            )
+
+            response = cast(Response, client.get_users(**params))
+
+            usernames = []
+            ids = []
+            names = []
+
+            included = IncludesSerializer.serialize(response.includes)
+            data = ResponseDataSerializer.serialize_list(response.data)
+
+            if response.data:
+                for user in response.data:
+                    usernames.append(user.username)
+                    ids.append(str(user.id))
+                    names.append(user.name)
+
+            if usernames and ids:
+                return data, included, usernames, ids, names
+            else:
+                raise tweepy.TweepyException("Users not found")
+
+        except tweepy.TweepyException:
+            raise
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: TwitterCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        try:
+            data, included, usernames, ids, names = self.get_users(
+                credentials,
+                input_data.identifier,
+                input_data.expansions,
+                input_data.tweet_fields,
+                input_data.user_fields,
+            )
+            if ids:
+                yield "ids", ids
+            if usernames:
+                yield "usernames_", usernames
+            if names:
+                yield "names_", names
+            if data:
+                yield "data", data
+            if included:
+                yield "included", included
+        except Exception as e:
+            yield "error", handle_tweepy_exception(e)
diff --git a/autogpt_platform/backend/backend/blocks/wolfram/__init__.py b/autogpt_platform/backend/backend/blocks/wolfram/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/blocks/wolfram/_api.py b/autogpt_platform/backend/backend/blocks/wolfram/_api.py
new file mode 100644
index 000000000000..8c76542b1f1e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wolfram/_api.py
@@ -0,0 +1,14 @@
+from backend.sdk import APIKeyCredentials, Requests
+
+
+async def llm_api_call(credentials: APIKeyCredentials, question: str) -> str:
+    params = {"appid": credentials.api_key.get_secret_value(), "input": question}
+    response = await Requests().get(
+        "https://www.wolframalpha.com/api/v1/llm-api", params=params
+    )
+    if not response.ok:
+        raise ValueError(f"API request failed: {response.status} {response.text()}")
+
+    answer = response.text() if response.text() else ""
+
+    return answer
diff --git a/autogpt_platform/backend/backend/blocks/wolfram/llm_api.py b/autogpt_platform/backend/backend/blocks/wolfram/llm_api.py
new file mode 100644
index 000000000000..5586e0d8ef29
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wolfram/llm_api.py
@@ -0,0 +1,50 @@
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockCostType,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    ProviderBuilder,
+    SchemaField,
+)
+
+from ._api import llm_api_call
+
+wolfram = (
+    ProviderBuilder("wolfram")
+    .with_api_key("WOLFRAM_APP_ID", "Wolfram Alpha App ID")
+    .with_base_cost(1, BlockCostType.RUN)
+    .build()
+)
+
+
+class AskWolframBlock(Block):
+    """
+    Ask Wolfram Alpha a question.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = wolfram.credentials_field(
+            description="Wolfram Alpha API credentials"
+        )
+        question: str = SchemaField(description="The question to ask")
+
+    class Output(BlockSchema):
+        answer: str = SchemaField(description="The answer to the question")
+
+    def __init__(self):
+        super().__init__(
+            id="b7710ce4-68ef-4e82-9a2f-f0b874ef9c7d",
+            description="Ask Wolfram Alpha a question",
+            categories={BlockCategory.SEARCH},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        answer = await llm_api_call(credentials, input_data.question)
+        yield "answer", answer
diff --git a/autogpt_platform/backend/backend/blocks/wordpress/__init__.py b/autogpt_platform/backend/backend/blocks/wordpress/__init__.py
new file mode 100644
index 000000000000..c7b1e26eeaa8
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wordpress/__init__.py
@@ -0,0 +1,3 @@
+from .blog import WordPressCreatePostBlock
+
+__all__ = ["WordPressCreatePostBlock"]
diff --git a/autogpt_platform/backend/backend/blocks/wordpress/_api.py b/autogpt_platform/backend/backend/blocks/wordpress/_api.py
new file mode 100644
index 000000000000..070dbd898b8c
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wordpress/_api.py
@@ -0,0 +1,498 @@
+from datetime import datetime
+from enum import Enum
+from logging import getLogger
+from typing import Any, Dict, List, Union
+from urllib.parse import urlencode
+
+from backend.sdk import BaseModel, Credentials, Requests
+
+logger = getLogger(__name__)
+
+WORDPRESS_BASE_URL = "https://public-api.wordpress.com/"
+
+
+class OAuthAuthorizeRequest(BaseModel):
+    """OAuth authorization request parameters for WordPress.
+
+    Parameters:
+        client_id: Your application's client ID from WordPress.com
+        redirect_uri: The URI for the authorize response redirect. Must exactly match a redirect URI
+            associated with your application.
+        response_type: Can be "code" or "token". "code" should be used for server side applications.
+        scope: A space delimited list of scopes. Optional, defaults to single blog access.
+        blog: Optional blog parameter with the URL or blog ID for a WordPress.com blog or Jetpack site.
+    """
+
+    client_id: str
+    redirect_uri: str
+    response_type: str = "code"
+    scope: str | None = None
+    blog: str | None = None
+
+
+class OAuthTokenRequest(BaseModel):
+    """OAuth token request parameters for WordPress.
+
+    These parameters must be formatted via application/x-www-form-urlencoded encoding.
+
+    Parameters:
+        code: The grant code returned in the redirect. Can only be used once.
+        client_id: Your application's client ID.
+        redirect_uri: The redirect_uri used in the authorization request.
+        client_secret: Your application's client secret.
+        grant_type: The string "authorization_code".
+    """
+
+    code: str
+    client_id: str
+    redirect_uri: str
+    client_secret: str
+    grant_type: str = "authorization_code"
+
+
+class OAuthRefreshTokenRequest(BaseModel):
+    """OAuth token refresh request parameters for WordPress.
+
+    Note: WordPress OAuth2 tokens do not expire when using the "code" response type,
+    so refresh tokens are typically not needed for server-side applications.
+
+    Parameters:
+        refresh_token: The saved refresh token from the previous token grant.
+        client_id: Your application's client ID.
+        client_secret: Your application's client secret.
+        grant_type: The string "refresh_token".
+    """
+
+    refresh_token: str
+    client_id: str
+    client_secret: str
+    grant_type: str = "refresh_token"
+
+
+class OAuthTokenResponse(BaseModel):
+    """OAuth token response from WordPress.
+
+    Successful response has HTTP status code 200 (OK).
+
+    Parameters:
+        access_token: An opaque string. Can be used to make requests to the WordPress API on behalf
+            of the user.
+        blog_id: The ID of the authorized blog.
+        blog_url: The URL of the authorized blog.
+        token_type: The string "bearer".
+        scope: Optional field for global tokens containing the granted scopes.
+        refresh_token: Optional refresh token (typically not provided for server-side apps).
+        expires_in: Optional expiration time (tokens from code flow don't expire).
+    """
+
+    access_token: str
+    blog_id: str | None = None
+    blog_url: str | None = None
+    token_type: str = "bearer"
+    scope: str | None = None
+    refresh_token: str | None = None
+    expires_in: int | None = None
+
+
+def make_oauth_authorize_url(
+    client_id: str,
+    redirect_uri: str,
+    scopes: list[str] | None = None,
+) -> str:
+    """
+    Generate the OAuth authorization URL for WordPress.
+
+    Args:
+        client_id: Your application's client ID from WordPress.com
+        redirect_uri: The URI for the authorize response redirect
+        scopes: Optional list of scopes. Defaults to single blog access if not provided.
+        blog: Optional blog URL or ID for a WordPress.com blog or Jetpack site.
+
+    Returns:
+        The authorization URL that the user should visit
+    """
+    # Build request parameters
+    params = {
+        "client_id": client_id,
+        "redirect_uri": redirect_uri,
+        "response_type": "code",
+    }
+
+    if scopes:
+        params["scope"] = " ".join(scopes)
+
+    # Build the authorization URL
+    base_url = f"{WORDPRESS_BASE_URL}oauth2/authorize"
+    query_string = urlencode(params)
+
+    return f"{base_url}?{query_string}"
+
+
+async def oauth_exchange_code_for_tokens(
+    client_id: str,
+    client_secret: str,
+    code: str,
+    redirect_uri: str,
+) -> OAuthTokenResponse:
+    """
+    Exchange an authorization code for access token.
+
+    Args:
+        client_id: Your application's client ID.
+        client_secret: Your application's client secret.
+        code: The authorization code returned by WordPress.
+        redirect_uri: The redirect URI used during authorization.
+
+    Returns:
+        Parsed JSON response containing the access token, blog info, etc.
+    """
+
+    headers = {
+        "Content-Type": "application/x-www-form-urlencoded",
+    }
+
+    data = OAuthTokenRequest(
+        code=code,
+        client_id=client_id,
+        client_secret=client_secret,
+        redirect_uri=redirect_uri,
+        grant_type="authorization_code",
+    ).model_dump(exclude_none=True)
+
+    response = await Requests().post(
+        f"{WORDPRESS_BASE_URL}oauth2/token",
+        headers=headers,
+        data=data,
+    )
+
+    if response.ok:
+        return OAuthTokenResponse.model_validate(response.json())
+    raise ValueError(
+        f"Failed to exchange code for tokens: {response.status} {response.text}"
+    )
+
+
+async def oauth_refresh_tokens(
+    client_id: str,
+    client_secret: str,
+    refresh_token: str,
+) -> OAuthTokenResponse:
+    """
+    Refresh an expired access token (for implicit/client-side tokens only).
+
+    Note: Tokens obtained via the "code" flow for server-side applications do not expire.
+    This is primarily used for client-side applications using implicit OAuth.
+
+    Args:
+        client_id: Your application's client ID.
+        client_secret: Your application's client secret.
+        refresh_token: The refresh token previously issued by WordPress.
+
+    Returns:
+        Parsed JSON response containing the new access token.
+    """
+
+    headers = {
+        "Content-Type": "application/x-www-form-urlencoded",
+    }
+
+    data = OAuthRefreshTokenRequest(
+        refresh_token=refresh_token,
+        client_id=client_id,
+        client_secret=client_secret,
+        grant_type="refresh_token",
+    ).model_dump(exclude_none=True)
+
+    response = await Requests().post(
+        f"{WORDPRESS_BASE_URL}oauth2/token",
+        headers=headers,
+        data=data,
+    )
+
+    if response.ok:
+        return OAuthTokenResponse.model_validate(response.json())
+    raise ValueError(f"Failed to refresh tokens: {response.status} {response.text}")
+
+
+class TokenInfoResponse(BaseModel):
+    """Token validation response from WordPress.
+
+    Parameters:
+        client_id: Your application's client ID.
+        user_id: The WordPress.com user ID.
+        blog_id: The blog ID associated with the token.
+        scope: The scope of the token.
+    """
+
+    client_id: str
+    user_id: str
+    blog_id: str | None = None
+    scope: str | None = None
+
+
+async def validate_token(
+    client_id: str,
+    token: str,
+) -> TokenInfoResponse:
+    """
+    Validate an access token and get associated metadata.
+
+    Args:
+        client_id: Your application's client ID.
+        token: The access token to validate.
+
+    Returns:
+        Token info including user ID, blog ID, and scope.
+    """
+
+    params = {
+        "client_id": client_id,
+        "token": token,
+    }
+
+    response = await Requests().get(
+        f"{WORDPRESS_BASE_URL}oauth2/token-info",
+        params=params,
+    )
+
+    if response.ok:
+        return TokenInfoResponse.model_validate(response.json())
+    raise ValueError(f"Invalid token: {response.status} {response.text}")
+
+
+async def make_api_request(
+    endpoint: str,
+    access_token: str,
+    method: str = "GET",
+    data: dict[str, Any] | None = None,
+    params: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """
+    Make an authenticated API request to WordPress.
+
+    Args:
+        endpoint: The API endpoint (e.g., "/rest/v1/me/", "/rest/v1/sites/{site_id}/posts/new")
+        access_token: The OAuth access token
+        method: HTTP method (GET, POST, etc.)
+        data: Request body data for POST/PUT requests
+        params: Query parameters
+
+    Returns:
+        JSON response from the API
+    """
+
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+    }
+
+    if data and method in ["POST", "PUT", "PATCH"]:
+        headers["Content-Type"] = "application/json"
+
+    # Ensure endpoint starts with /
+    if not endpoint.startswith("/"):
+        endpoint = f"/{endpoint}"
+
+    url = f"{WORDPRESS_BASE_URL.rstrip('/')}{endpoint}"
+
+    request_method = getattr(Requests(), method.lower())
+    response = await request_method(
+        url,
+        headers=headers,
+        json=data if method in ["POST", "PUT", "PATCH"] else None,
+        params=params,
+    )
+
+    if response.ok:
+        return response.json()
+    raise ValueError(f"API request failed: {response.status} {response.text}")
+
+
+# Post-related models and functions
+
+
+class PostStatus(str, Enum):
+    """WordPress post status options."""
+
+    PUBLISH = "publish"
+    PRIVATE = "private"
+    DRAFT = "draft"
+    PENDING = "pending"
+    FUTURE = "future"
+    AUTO_DRAFT = "auto-draft"
+
+
+class PostFormat(str, Enum):
+    """WordPress post format options."""
+
+    STANDARD = "standard"
+    ASIDE = "aside"
+    CHAT = "chat"
+    GALLERY = "gallery"
+    LINK = "link"
+    IMAGE = "image"
+    QUOTE = "quote"
+    STATUS = "status"
+    VIDEO = "video"
+    AUDIO = "audio"
+
+
+class CreatePostRequest(BaseModel):
+    """Request model for creating a WordPress post.
+
+    All fields are optional except those you want to set.
+    """
+
+    # Basic content
+    title: str | None = None
+    content: str | None = None
+    excerpt: str | None = None
+
+    # Post metadata
+    date: datetime | None = None
+    slug: str | None = None
+    author: str | None = None
+    status: PostStatus | None = PostStatus.PUBLISH
+    password: str | None = None
+    sticky: bool | None = False
+
+    # Organization
+    parent: int | None = None
+    type: str | None = "post"
+    categories: List[str] | None = None
+    tags: List[str] | None = None
+    format: PostFormat | None = None
+
+    # Media
+    featured_image: str | None = None
+    media_urls: List[str] | None = None
+
+    # Sharing
+    publicize: bool | None = True
+    publicize_message: str | None = None
+
+    # Engagement
+    likes_enabled: bool | None = None
+    sharing_enabled: bool | None = True
+    discussion: Dict[str, bool] | None = None
+
+    # Page-specific
+    menu_order: int | None = None
+    page_template: str | None = None
+
+    # Advanced
+    metadata: List[Dict[str, Any]] | None = None
+
+    class Config:
+        json_encoders = {datetime: lambda v: v.isoformat()}
+
+
+class PostAuthor(BaseModel):
+    """Author information in post response."""
+
+    ID: int
+    login: str
+    email: Union[str, bool, None] = None
+    name: str
+    nice_name: str
+    URL: str | None = None
+    avatar_URL: str | None = None
+
+
+class PostResponse(BaseModel):
+    """Response model for a WordPress post."""
+
+    ID: int
+    site_ID: int
+    author: PostAuthor
+    date: datetime
+    modified: datetime
+    title: str
+    URL: str
+    short_URL: str
+    content: str
+    excerpt: str
+    slug: str
+    guid: str
+    status: str
+    sticky: bool
+    password: str | None = ""
+    parent: Union[Dict[str, Any], bool, None] = None
+    type: str
+    discussion: Dict[str, Union[str, bool, int]]
+    likes_enabled: bool
+    sharing_enabled: bool
+    like_count: int
+    i_like: bool
+    is_reblogged: bool
+    is_following: bool
+    global_ID: str
+    featured_image: str | None = None
+    post_thumbnail: Dict[str, Any] | None = None
+    format: str
+    geo: Union[Dict[str, Any], bool, None] = None
+    menu_order: int | None = None
+    page_template: str | None = None
+    publicize_URLs: List[str]
+    terms: Dict[str, Dict[str, Any]]
+    tags: Dict[str, Dict[str, Any]]
+    categories: Dict[str, Dict[str, Any]]
+    attachments: Dict[str, Dict[str, Any]]
+    attachment_count: int
+    metadata: List[Dict[str, Any]]
+    meta: Dict[str, Any]
+    capabilities: Dict[str, bool]
+    revisions: List[int] | None = None
+    other_URLs: Dict[str, Any] | None = None
+
+
+async def create_post(
+    credentials: Credentials,
+    site: str,
+    post_data: CreatePostRequest,
+) -> PostResponse:
+    """
+    Create a new post on a WordPress site.
+
+    Args:
+        site: Site ID or domain (e.g., "myblog.wordpress.com" or "123456789")
+        access_token: OAuth access token
+        post_data: Post data using CreatePostRequest model
+
+    Returns:
+        PostResponse with the created post details
+    """
+
+    # Convert the post data to a dictionary, excluding None values
+    data = post_data.model_dump(exclude_none=True)
+
+    # Handle special fields that need conversion
+    if "categories" in data and isinstance(data["categories"], list):
+        data["categories"] = ",".join(str(c) for c in data["categories"])
+
+    if "tags" in data and isinstance(data["tags"], list):
+        data["tags"] = ",".join(str(t) for t in data["tags"])
+
+    # Make the API request
+    endpoint = f"/rest/v1.1/sites/{site}/posts/new"
+
+    headers = {
+        "Authorization": credentials.auth_header(),
+        "Content-Type": "application/x-www-form-urlencoded",
+    }
+
+    response = await Requests().post(
+        f"{WORDPRESS_BASE_URL.rstrip('/')}{endpoint}",
+        headers=headers,
+        data=data,
+    )
+
+    if response.ok:
+        return PostResponse.model_validate(response.json())
+
+    error_data = (
+        response.json()
+        if response.headers.get("content-type", "").startswith("application/json")
+        else {}
+    )
+    error_message = error_data.get("message", response.text)
+    raise ValueError(f"Failed to create post: {response.status} - {error_message}")
diff --git a/autogpt_platform/backend/backend/blocks/wordpress/_config.py b/autogpt_platform/backend/backend/blocks/wordpress/_config.py
new file mode 100644
index 000000000000..64cd8bdb758c
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wordpress/_config.py
@@ -0,0 +1,20 @@
+from backend.sdk import BlockCostType, ProviderBuilder
+
+from ._oauth import WordPressOAuthHandler, WordPressScope
+
+wordpress = (
+    ProviderBuilder("wordpress")
+    .with_base_cost(1, BlockCostType.RUN)
+    .with_oauth(
+        WordPressOAuthHandler,
+        scopes=[
+            v.value
+            for v in [
+                WordPressScope.POSTS,
+            ]
+        ],
+        client_id_env_var="WORDPRESS_CLIENT_ID",
+        client_secret_env_var="WORDPRESS_CLIENT_SECRET",
+    )
+    .build()
+)
diff --git a/autogpt_platform/backend/backend/blocks/wordpress/_oauth.py b/autogpt_platform/backend/backend/blocks/wordpress/_oauth.py
new file mode 100644
index 000000000000..7dfb74107a51
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wordpress/_oauth.py
@@ -0,0 +1,214 @@
+import time
+from enum import Enum
+from logging import getLogger
+from typing import Optional
+from urllib.parse import quote
+
+from backend.sdk import BaseOAuthHandler, OAuth2Credentials, ProviderName, SecretStr
+
+from ._api import (
+    OAuthTokenResponse,
+    TokenInfoResponse,
+    make_oauth_authorize_url,
+    oauth_exchange_code_for_tokens,
+    oauth_refresh_tokens,
+    validate_token,
+)
+
+logger = getLogger(__name__)
+
+
+class WordPressScope(str, Enum):
+    """WordPress OAuth2 scopes.
+
+    Note: If no scope is specified, the token will grant full access to a single blog.
+    Special scopes:
+    - auth: Access to /me endpoints only, primarily for WordPress.com Connect
+    - global: Full access to all blogs the user has on WordPress.com
+    """
+
+    # Common endpoint-specific scopes
+    POSTS = "posts"
+    COMMENTS = "comments"
+    LIKES = "likes"
+    FOLLOW = "follow"
+    STATS = "stats"
+    USERS = "users"
+    SITES = "sites"
+    MEDIA = "media"
+
+    # Special scopes
+    AUTH = "auth"  # Access to /me endpoints only
+    GLOBAL = "global"  # Full access to all user's blogs
+
+
+class WordPressOAuthHandler(BaseOAuthHandler):
+    """
+    OAuth2 handler for WordPress.com and Jetpack sites.
+
+    Supports both single blog and global access tokens.
+    Server-side tokens (using 'code' response type) do not expire.
+    """
+
+    PROVIDER_NAME = ProviderName("wordpress")
+    # Default to no scopes for single blog access
+    DEFAULT_SCOPES = []
+
+    def __init__(self, client_id: str, client_secret: Optional[str], redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+        self.scopes = self.DEFAULT_SCOPES
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str] = None
+    ) -> str:
+        logger.debug("Generating WordPress OAuth login URL")
+        # WordPress doesn't require PKCE, so code_challenge is not used
+        if not scopes:
+            logger.debug("No scopes provided, will default to single blog access")
+            scopes = self.scopes
+
+        logger.debug(f"Using scopes: {scopes}")
+        logger.debug(f"State: {state}")
+
+        try:
+            base_url = make_oauth_authorize_url(
+                self.client_id, self.redirect_uri, scopes if scopes else None
+            )
+
+            separator = "&" if "?" in base_url else "?"
+            url = f"{base_url}{separator}state={quote(state)}"
+            logger.debug(f"Generated OAuth URL: {url}")
+            return url
+        except Exception as e:
+            logger.error(f"Failed to generate OAuth URL: {str(e)}")
+            raise
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str] = None
+    ) -> OAuth2Credentials:
+        logger.debug("Exchanging authorization code for tokens")
+        logger.debug(f"Code: {code[:4]}...")
+        logger.debug(f"Scopes: {scopes}")
+
+        # WordPress doesn't use PKCE, so code_verifier is not needed
+
+        try:
+            response: OAuthTokenResponse = await oauth_exchange_code_for_tokens(
+                client_id=self.client_id,
+                client_secret=self.client_secret if self.client_secret else "",
+                code=code,
+                redirect_uri=self.redirect_uri,
+            )
+            logger.info("Successfully exchanged code for tokens")
+
+            # Store blog info in metadata
+            metadata = {}
+            if response.blog_id:
+                metadata["blog_id"] = response.blog_id
+            if response.blog_url:
+                metadata["blog_url"] = response.blog_url
+
+            # WordPress tokens from code flow don't expire
+            credentials = OAuth2Credentials(
+                access_token=SecretStr(response.access_token),
+                refresh_token=(
+                    SecretStr(response.refresh_token)
+                    if response.refresh_token
+                    else None
+                ),
+                access_token_expires_at=None,
+                refresh_token_expires_at=None,
+                provider=self.PROVIDER_NAME,
+                scopes=scopes if scopes else [],
+                metadata=metadata,
+            )
+
+            if response.expires_in:
+                logger.debug(
+                    f"Token expires in {response.expires_in} seconds (client-side token)"
+                )
+            else:
+                logger.debug("Token does not expire (server-side token)")
+
+            return credentials
+
+        except Exception as e:
+            logger.error(f"Failed to exchange code for tokens: {str(e)}")
+            raise
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        """
+        Added for completeness, as WordPress tokens don't expire
+        """
+
+        logger.debug("Attempting to refresh OAuth tokens")
+
+        # Server-side tokens don't expire
+        if credentials.access_token_expires_at is None:
+            logger.info("Token does not expire (server-side token), no refresh needed")
+            return credentials
+
+        if credentials.refresh_token is None:
+            logger.error("Cannot refresh tokens - no refresh token available")
+            raise ValueError("No refresh token available")
+
+        try:
+            response: OAuthTokenResponse = await oauth_refresh_tokens(
+                client_id=self.client_id,
+                client_secret=self.client_secret if self.client_secret else "",
+                refresh_token=credentials.refresh_token.get_secret_value(),
+            )
+            logger.info("Successfully refreshed tokens")
+
+            # Preserve blog info from original credentials
+            metadata = credentials.metadata or {}
+            if response.blog_id:
+                metadata["blog_id"] = response.blog_id
+            if response.blog_url:
+                metadata["blog_url"] = response.blog_url
+
+            new_credentials = OAuth2Credentials(
+                access_token=SecretStr(response.access_token),
+                refresh_token=(
+                    SecretStr(response.refresh_token)
+                    if response.refresh_token
+                    else credentials.refresh_token
+                ),
+                access_token_expires_at=(
+                    int(time.time()) + response.expires_in
+                    if response.expires_in
+                    else None
+                ),
+                refresh_token_expires_at=None,
+                provider=self.PROVIDER_NAME,
+                scopes=credentials.scopes,
+                metadata=metadata,
+            )
+
+            if response.expires_in:
+                logger.debug(
+                    f"New access token expires in {response.expires_in} seconds"
+                )
+            else:
+                logger.debug("New token does not expire")
+
+            return new_credentials
+
+        except Exception as e:
+            logger.error(f"Failed to refresh tokens: {str(e)}")
+            raise
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        logger.debug("Token revocation requested")
+        logger.info(
+            "WordPress doesn't provide a token revocation endpoint - server-side tokens don't expire"
+        )
+        return False
+
+    async def validate_access_token(self, token: str) -> TokenInfoResponse:
+        """Validate an access token and get associated metadata."""
+        return await validate_token(self.client_id, token)
diff --git a/autogpt_platform/backend/backend/blocks/wordpress/blog.py b/autogpt_platform/backend/backend/blocks/wordpress/blog.py
new file mode 100644
index 000000000000..5474b7afda28
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/wordpress/blog.py
@@ -0,0 +1,92 @@
+from backend.sdk import (
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    Credentials,
+    CredentialsMetaInput,
+    SchemaField,
+)
+
+from ._api import CreatePostRequest, PostResponse, PostStatus, create_post
+from ._config import wordpress
+
+
+class WordPressCreatePostBlock(Block):
+    """
+    Creates a new post on a WordPress.com site or Jetpack-enabled site and publishes it.
+    """
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = wordpress.credentials_field()
+        site: str = SchemaField(
+            description="Site ID or domain (e.g., 'myblog.wordpress.com' or '123456789')"
+        )
+        title: str = SchemaField(description="The post title")
+        content: str = SchemaField(description="The post content (HTML supported)")
+        excerpt: str | None = SchemaField(
+            description="An optional post excerpt/summary", default=None
+        )
+        slug: str | None = SchemaField(
+            description="The URL slug for the post (auto-generated if not provided)",
+            default=None,
+        )
+        author: str | None = SchemaField(
+            description="Username or ID of the author (defaults to authenticated user)",
+            default=None,
+        )
+        categories: list[str] = SchemaField(
+            description="List of category names or IDs", default=[]
+        )
+        tags: list[str] = SchemaField(
+            description="List of tag names or IDs", default=[]
+        )
+        featured_image: str | None = SchemaField(
+            description="Post ID of an existing attachment to set as featured image",
+            default=None,
+        )
+        media_urls: list[str] = SchemaField(
+            description="URLs of images to sideload and attach to the post", default=[]
+        )
+
+    class Output(BlockSchema):
+        post_id: int = SchemaField(description="The ID of the created post")
+        post_url: str = SchemaField(description="The full URL of the created post")
+        short_url: str = SchemaField(description="The shortened wp.me URL")
+        post_data: dict = SchemaField(description="Complete post data returned by API")
+
+    def __init__(self):
+        super().__init__(
+            id="ee4fe08c-18f9-442f-a985-235379b932e1",
+            description="Create a new post on WordPress.com or Jetpack sites",
+            categories={BlockCategory.SOCIAL},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: Credentials, **kwargs
+    ) -> BlockOutput:
+        post_request = CreatePostRequest(
+            title=input_data.title,
+            content=input_data.content,
+            excerpt=input_data.excerpt,
+            slug=input_data.slug,
+            author=input_data.author,
+            categories=input_data.categories,
+            tags=input_data.tags,
+            featured_image=input_data.featured_image,
+            media_urls=input_data.media_urls,
+            status=PostStatus.PUBLISH,
+        )
+
+        post_response: PostResponse = await create_post(
+            credentials=credentials,
+            site=input_data.site,
+            post_data=post_request,
+        )
+
+        yield "post_id", post_response.ID
+        yield "post_url", post_response.URL
+        yield "short_url", post_response.short_URL
+        yield "post_data", post_response.model_dump()
diff --git a/autogpt_platform/backend/backend/blocks/xml_parser.py b/autogpt_platform/backend/backend/blocks/xml_parser.py
new file mode 100644
index 000000000000..a3d58544994e
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/xml_parser.py
@@ -0,0 +1,37 @@
+from gravitasml.parser import Parser
+from gravitasml.token import tokenize
+
+from backend.data.block import Block, BlockOutput, BlockSchema
+from backend.data.model import SchemaField
+
+
+class XMLParserBlock(Block):
+    class Input(BlockSchema):
+        input_xml: str = SchemaField(description="input xml to be parsed")
+
+    class Output(BlockSchema):
+        parsed_xml: dict = SchemaField(description="output parsed xml to dict")
+        error: str = SchemaField(description="Error in parsing")
+
+    def __init__(self):
+        super().__init__(
+            id="286380af-9529-4b55-8be0-1d7c854abdb5",
+            description="Parses XML using gravitasml to tokenize and coverts it to dict",
+            input_schema=XMLParserBlock.Input,
+            output_schema=XMLParserBlock.Output,
+            test_input={"input_xml": "<tag1><tag2>content</tag2></tag1>"},
+            test_output=[
+                ("parsed_xml", {"tag1": {"tag2": "content"}}),
+            ],
+        )
+
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        try:
+            tokens = tokenize(input_data.input_xml)
+            parser = Parser(tokens)
+            parsed_result = parser.parse()
+            yield "parsed_xml", parsed_result
+        except ValueError as val_e:
+            raise ValueError(f"Validation error for dict:{val_e}") from val_e
+        except SyntaxError as syn_e:
+            raise SyntaxError(f"Error in input xml syntax: {syn_e}") from syn_e
diff --git a/autogpt_platform/backend/backend/blocks/youtube.py b/autogpt_platform/backend/backend/blocks/youtube.py
index 648d9d6dae07..bb8c61449ee6 100644
--- a/autogpt_platform/backend/backend/blocks/youtube.py
+++ b/autogpt_platform/backend/backend/blocks/youtube.py
@@ -1,6 +1,7 @@
 from urllib.parse import parse_qs, urlparse
 
-from youtube_transcript_api import YouTubeTranscriptApi
+from youtube_transcript_api._api import YouTubeTranscriptApi
+from youtube_transcript_api._transcripts import FetchedTranscript
 from youtube_transcript_api.formatters import TextFormatter
 
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
@@ -42,6 +43,7 @@ def __init__(self):
                     {"text": "Never gonna give you up"},
                     {"text": "Never gonna let you down"},
                 ],
+                "format_transcript": lambda transcript: "Never gonna give you up\nNever gonna let you down",
             },
         )
 
@@ -61,30 +63,20 @@ def extract_video_id(url: str) -> str:
         raise ValueError(f"Invalid YouTube URL: {url}")
 
     @staticmethod
-    def get_transcript(video_id: str):
-        try:
-            transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
+    def get_transcript(video_id: str) -> FetchedTranscript:
+        return YouTubeTranscriptApi().fetch(video_id=video_id)
 
-            if not transcript_list:
-                raise ValueError(f"No transcripts found for the video: {video_id}")
-
-            for transcript in transcript_list:
-                first_transcript = transcript_list.find_transcript(
-                    [transcript.language_code]
-                )
-                return YouTubeTranscriptApi.get_transcript(
-                    video_id, languages=[first_transcript.language_code]
-                )
-
-        except Exception:
-            raise ValueError(f"No transcripts found for the video: {video_id}")
+    @staticmethod
+    def format_transcript(transcript: FetchedTranscript) -> str:
+        formatter = TextFormatter()
+        transcript_text = formatter.format_transcript(transcript)
+        return transcript_text
 
-    def run(self, input_data: Input, **kwargs) -> BlockOutput:
+    async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         video_id = self.extract_video_id(input_data.youtube_url)
         yield "video_id", video_id
 
         transcript = self.get_transcript(video_id)
-        formatter = TextFormatter()
-        transcript_text = formatter.format_transcript(transcript)
+        transcript_text = self.format_transcript(transcript=transcript)
 
         yield "transcript", transcript_text
diff --git a/autogpt_platform/backend/backend/blocks/zerobounce/_api.py b/autogpt_platform/backend/backend/blocks/zerobounce/_api.py
new file mode 100644
index 000000000000..c78fe38c0905
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/zerobounce/_api.py
@@ -0,0 +1,10 @@
+from zerobouncesdk import ZBValidateResponse, ZeroBounce
+
+
+class ZeroBounceClient:
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+        self.client = ZeroBounce(api_key)
+
+    def validate_email(self, email: str, ip_address: str) -> ZBValidateResponse:
+        return self.client.validate(email, ip_address)
diff --git a/autogpt_platform/backend/backend/blocks/zerobounce/_auth.py b/autogpt_platform/backend/backend/blocks/zerobounce/_auth.py
new file mode 100644
index 000000000000..e7125fc3c9db
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/zerobounce/_auth.py
@@ -0,0 +1,35 @@
+from typing import Literal
+
+from pydantic import SecretStr
+
+from backend.data.model import APIKeyCredentials, CredentialsField, CredentialsMetaInput
+from backend.integrations.providers import ProviderName
+
+ZeroBounceCredentials = APIKeyCredentials
+ZeroBounceCredentialsInput = CredentialsMetaInput[
+    Literal[ProviderName.ZEROBOUNCE],
+    Literal["api_key"],
+]
+
+TEST_CREDENTIALS = APIKeyCredentials(
+    id="01234567-89ab-cdef-0123-456789abcdef",
+    provider="zerobounce",
+    api_key=SecretStr("mock-zerobounce-api-key"),
+    title="Mock ZeroBounce API key",
+    expires_at=None,
+)
+TEST_CREDENTIALS_INPUT = {
+    "provider": TEST_CREDENTIALS.provider,
+    "id": TEST_CREDENTIALS.id,
+    "type": TEST_CREDENTIALS.type,
+    "title": TEST_CREDENTIALS.title,
+}
+
+
+def ZeroBounceCredentialsField() -> ZeroBounceCredentialsInput:
+    """
+    Creates a ZeroBounce credentials input on a block.
+    """
+    return CredentialsField(
+        description="The ZeroBounce integration can be used with an API Key.",
+    )
diff --git a/autogpt_platform/backend/backend/blocks/zerobounce/validate_emails.py b/autogpt_platform/backend/backend/blocks/zerobounce/validate_emails.py
new file mode 100644
index 000000000000..6bb96d0a8f87
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/zerobounce/validate_emails.py
@@ -0,0 +1,175 @@
+from typing import Optional
+
+from pydantic import BaseModel
+from zerobouncesdk.zb_validate_response import (
+    ZBValidateResponse,
+    ZBValidateStatus,
+    ZBValidateSubStatus,
+)
+
+from backend.blocks.zerobounce._api import ZeroBounceClient
+from backend.blocks.zerobounce._auth import (
+    TEST_CREDENTIALS,
+    TEST_CREDENTIALS_INPUT,
+    ZeroBounceCredentials,
+    ZeroBounceCredentialsInput,
+)
+from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
+from backend.data.model import CredentialsField, SchemaField
+
+
+class Response(BaseModel):
+    address: str = SchemaField(
+        description="The email address you are validating.", default="N/A"
+    )
+    status: ZBValidateStatus = SchemaField(
+        description="The status of the email address.", default=ZBValidateStatus.unknown
+    )
+    sub_status: ZBValidateSubStatus = SchemaField(
+        description="The sub-status of the email address.",
+        default=ZBValidateSubStatus.none,
+    )
+    account: Optional[str] = SchemaField(
+        description="The portion of the email address before the '@' symbol.",
+        default="N/A",
+    )
+    domain: Optional[str] = SchemaField(
+        description="The portion of the email address after the '@' symbol."
+    )
+    did_you_mean: Optional[str] = SchemaField(
+        description="Suggestive Fix for an email typo",
+        default=None,
+    )
+    domain_age_days: Optional[str] = SchemaField(
+        description="Age of the email domain in days or [null].",
+        default=None,
+    )
+    free_email: Optional[bool] = SchemaField(
+        description="Whether the email address is a free email provider.", default=False
+    )
+    mx_found: Optional[bool] = SchemaField(
+        description="Whether the MX record was found.", default=False
+    )
+    mx_record: Optional[str] = SchemaField(
+        description="The MX record of the email address.", default=None
+    )
+    smtp_provider: Optional[str] = SchemaField(
+        description="The SMTP provider of the email address.", default=None
+    )
+    firstname: Optional[str] = SchemaField(
+        description="The first name of the email address.", default=None
+    )
+    lastname: Optional[str] = SchemaField(
+        description="The last name of the email address.", default=None
+    )
+    gender: Optional[str] = SchemaField(
+        description="The gender of the email address.", default=None
+    )
+    city: Optional[str] = SchemaField(
+        description="The city of the email address.", default=None
+    )
+    region: Optional[str] = SchemaField(
+        description="The region of the email address.", default=None
+    )
+    zipcode: Optional[str] = SchemaField(
+        description="The zipcode of the email address.", default=None
+    )
+    country: Optional[str] = SchemaField(
+        description="The country of the email address.", default=None
+    )
+
+
+class ValidateEmailsBlock(Block):
+    """Search for people in Apollo"""
+
+    class Input(BlockSchema):
+        email: str = SchemaField(
+            description="Email to validate",
+        )
+        ip_address: str = SchemaField(
+            description="IP address to validate",
+            default="",
+        )
+        credentials: ZeroBounceCredentialsInput = CredentialsField(
+            description="ZeroBounce credentials",
+        )
+
+    class Output(BlockSchema):
+        response: Response = SchemaField(
+            description="Response from ZeroBounce",
+        )
+        error: str = SchemaField(
+            description="Error message if the search failed",
+            default="",
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="e3950439-fa0b-40e8-b19f-e0dca0bf5853",
+            description="Validate emails",
+            categories={BlockCategory.SEARCH},
+            input_schema=ValidateEmailsBlock.Input,
+            output_schema=ValidateEmailsBlock.Output,
+            test_credentials=TEST_CREDENTIALS,
+            test_input={
+                "credentials": TEST_CREDENTIALS_INPUT,
+                "email": "test@test.com",
+            },
+            test_output=[
+                (
+                    "response",
+                    Response(
+                        address="test@test.com",
+                        status=ZBValidateStatus.valid,
+                        sub_status=ZBValidateSubStatus.allowed,
+                        account="test",
+                        domain="test.com",
+                        did_you_mean=None,
+                        domain_age_days=None,
+                        free_email=False,
+                        mx_found=False,
+                        mx_record=None,
+                        smtp_provider=None,
+                    ),
+                )
+            ],
+            test_mock={
+                "validate_email": lambda email, ip_address, credentials: ZBValidateResponse(
+                    data={
+                        "address": email,
+                        "status": ZBValidateStatus.valid,
+                        "sub_status": ZBValidateSubStatus.allowed,
+                        "account": "test",
+                        "domain": "test.com",
+                        "did_you_mean": None,
+                        "domain_age_days": None,
+                        "free_email": False,
+                        "mx_found": False,
+                        "mx_record": None,
+                        "smtp_provider": None,
+                    }
+                )
+            },
+        )
+
+    @staticmethod
+    def validate_email(
+        email: str, ip_address: str, credentials: ZeroBounceCredentials
+    ) -> ZBValidateResponse:
+        client = ZeroBounceClient(credentials.api_key.get_secret_value())
+        return client.validate_email(email, ip_address)
+
+    async def run(
+        self,
+        input_data: Input,
+        *,
+        credentials: ZeroBounceCredentials,
+        **kwargs,
+    ) -> BlockOutput:
+        response: ZBValidateResponse = self.validate_email(
+            input_data.email, input_data.ip_address, credentials
+        )
+
+        response_model = Response(**response.__dict__)
+
+        yield "response", response_model
diff --git a/autogpt_platform/backend/backend/check_db.py b/autogpt_platform/backend/backend/check_db.py
new file mode 100644
index 000000000000..591c519f8461
--- /dev/null
+++ b/autogpt_platform/backend/backend/check_db.py
@@ -0,0 +1,359 @@
+import asyncio
+import random
+from datetime import datetime
+
+from faker import Faker
+from prisma import Prisma
+
+faker = Faker()
+
+
+async def check_cron_job(db):
+    """Check if the pg_cron job for refreshing materialized views exists."""
+    print("\n1. Checking pg_cron job...")
+    print("-" * 40)
+
+    try:
+        # Check if pg_cron extension exists
+        extension_check = await db.query_raw("CREATE EXTENSION pg_cron;")
+        print(extension_check)
+        extension_check = await db.query_raw(
+            "SELECT COUNT(*) as count FROM pg_extension WHERE extname = 'pg_cron'"
+        )
+        if extension_check[0]["count"] == 0:
+            print("⚠️  pg_cron extension is not installed")
+            return False
+
+        # Check if the refresh job exists
+        job_check = await db.query_raw(
+            """
+            SELECT jobname, schedule, command 
+            FROM cron.job 
+            WHERE jobname = 'refresh-store-views'
+        """
+        )
+
+        if job_check:
+            job = job_check[0]
+            print("✅ pg_cron job found:")
+            print(f"   Name: {job['jobname']}")
+            print(f"   Schedule: {job['schedule']} (every 15 minutes)")
+            print(f"   Command: {job['command']}")
+            return True
+        else:
+            print("⚠️  pg_cron job 'refresh-store-views' not found")
+            return False
+
+    except Exception as e:
+        print(f"❌ Error checking pg_cron: {e}")
+        return False
+
+
+async def get_materialized_view_counts(db):
+    """Get current counts from materialized views."""
+    print("\n2. Getting current materialized view data...")
+    print("-" * 40)
+
+    # Get counts from mv_agent_run_counts
+    agent_runs = await db.query_raw(
+        """
+        SELECT COUNT(*) as total_agents, 
+               SUM(run_count) as total_runs,
+               MAX(run_count) as max_runs,
+               MIN(run_count) as min_runs
+        FROM mv_agent_run_counts
+    """
+    )
+
+    # Get counts from mv_review_stats
+    review_stats = await db.query_raw(
+        """
+        SELECT COUNT(*) as total_listings,
+               SUM(review_count) as total_reviews,
+               AVG(avg_rating) as overall_avg_rating
+        FROM mv_review_stats
+    """
+    )
+
+    # Get sample data from StoreAgent view
+    store_agents = await db.query_raw(
+        """
+        SELECT COUNT(*) as total_store_agents,
+               AVG(runs) as avg_runs,
+               AVG(rating) as avg_rating
+        FROM "StoreAgent"
+    """
+    )
+
+    agent_run_data = agent_runs[0] if agent_runs else {}
+    review_data = review_stats[0] if review_stats else {}
+    store_data = store_agents[0] if store_agents else {}
+
+    print("📊 mv_agent_run_counts:")
+    print(f"   Total agents: {agent_run_data.get('total_agents', 0)}")
+    print(f"   Total runs: {agent_run_data.get('total_runs', 0)}")
+    print(f"   Max runs per agent: {agent_run_data.get('max_runs', 0)}")
+    print(f"   Min runs per agent: {agent_run_data.get('min_runs', 0)}")
+
+    print("\n📊 mv_review_stats:")
+    print(f"   Total listings: {review_data.get('total_listings', 0)}")
+    print(f"   Total reviews: {review_data.get('total_reviews', 0)}")
+    print(f"   Overall avg rating: {review_data.get('overall_avg_rating') or 0:.2f}")
+
+    print("\n📊 StoreAgent view:")
+    print(f"   Total store agents: {store_data.get('total_store_agents', 0)}")
+    print(f"   Average runs: {store_data.get('avg_runs') or 0:.2f}")
+    print(f"   Average rating: {store_data.get('avg_rating') or 0:.2f}")
+
+    return {
+        "agent_runs": agent_run_data,
+        "reviews": review_data,
+        "store_agents": store_data,
+    }
+
+
+async def add_test_data(db):
+    """Add some test data to verify materialized view updates."""
+    print("\n3. Adding test data...")
+    print("-" * 40)
+
+    # Get some existing data
+    users = await db.user.find_many(take=5)
+    graphs = await db.agentgraph.find_many(take=5)
+
+    if not users or not graphs:
+        print("❌ No existing users or graphs found. Run test_data_creator.py first.")
+        return False
+
+    # Add new executions
+    print("Adding new agent graph executions...")
+    new_executions = 0
+    for graph in graphs:
+        for _ in range(random.randint(2, 5)):
+            await db.agentgraphexecution.create(
+                data={
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
+                    "userId": random.choice(users).id,
+                    "executionStatus": "COMPLETED",
+                    "startedAt": datetime.now(),
+                }
+            )
+            new_executions += 1
+
+    print(f"✅ Added {new_executions} new executions")
+
+    # Check if we need to create store listings first
+    store_versions = await db.storelistingversion.find_many(
+        where={"submissionStatus": "APPROVED"}, take=5
+    )
+
+    if not store_versions:
+        print("\nNo approved store listings found. Creating test store listings...")
+
+        # Create store listings for existing agent graphs
+        for i, graph in enumerate(graphs[:3]):  # Create up to 3 store listings
+            # Create a store listing
+            listing = await db.storelisting.create(
+                data={
+                    "slug": f"test-agent-{graph.id[:8]}",
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
+                    "hasApprovedVersion": True,
+                    "owningUserId": graph.userId,
+                }
+            )
+
+            # Create an approved version
+            version = await db.storelistingversion.create(
+                data={
+                    "storeListingId": listing.id,
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
+                    "name": f"Test Agent {i+1}",
+                    "subHeading": faker.catch_phrase(),
+                    "description": faker.paragraph(nb_sentences=5),
+                    "imageUrls": [faker.image_url()],
+                    "categories": ["productivity", "automation"],
+                    "submissionStatus": "APPROVED",
+                    "submittedAt": datetime.now(),
+                }
+            )
+
+            # Update listing with active version
+            await db.storelisting.update(
+                where={"id": listing.id}, data={"activeVersionId": version.id}
+            )
+
+        print("✅ Created test store listings")
+
+        # Re-fetch approved versions
+        store_versions = await db.storelistingversion.find_many(
+            where={"submissionStatus": "APPROVED"}, take=5
+        )
+
+    # Add new reviews
+    print("\nAdding new store listing reviews...")
+    new_reviews = 0
+    for version in store_versions:
+        # Find users who haven't reviewed this version
+        existing_reviews = await db.storelistingreview.find_many(
+            where={"storeListingVersionId": version.id}
+        )
+        reviewed_user_ids = {r.reviewByUserId for r in existing_reviews}
+        available_users = [u for u in users if u.id not in reviewed_user_ids]
+
+        if available_users:
+            user = random.choice(available_users)
+            await db.storelistingreview.create(
+                data={
+                    "storeListingVersionId": version.id,
+                    "reviewByUserId": user.id,
+                    "score": random.randint(3, 5),
+                    "comments": faker.text(max_nb_chars=100),
+                }
+            )
+            new_reviews += 1
+
+    print(f"✅ Added {new_reviews} new reviews")
+
+    return True
+
+
+async def refresh_materialized_views(db):
+    """Manually refresh the materialized views."""
+    print("\n4. Manually refreshing materialized views...")
+    print("-" * 40)
+
+    try:
+        await db.execute_raw("SELECT refresh_store_materialized_views();")
+        print("✅ Materialized views refreshed successfully")
+        return True
+    except Exception as e:
+        print(f"❌ Error refreshing views: {e}")
+        return False
+
+
+async def compare_counts(before, after):
+    """Compare counts before and after refresh."""
+    print("\n5. Comparing counts before and after refresh...")
+    print("-" * 40)
+
+    # Compare agent runs
+    print("🔍 Agent run changes:")
+    before_runs = before["agent_runs"].get("total_runs") or 0
+    after_runs = after["agent_runs"].get("total_runs") or 0
+    print(
+        f"   Total runs: {before_runs} → {after_runs} " f"(+{after_runs - before_runs})"
+    )
+
+    # Compare reviews
+    print("\n🔍 Review changes:")
+    before_reviews = before["reviews"].get("total_reviews") or 0
+    after_reviews = after["reviews"].get("total_reviews") or 0
+    print(
+        f"   Total reviews: {before_reviews} → {after_reviews} "
+        f"(+{after_reviews - before_reviews})"
+    )
+
+    # Compare store agents
+    print("\n🔍 StoreAgent view changes:")
+    before_avg_runs = before["store_agents"].get("avg_runs", 0) or 0
+    after_avg_runs = after["store_agents"].get("avg_runs", 0) or 0
+    print(
+        f"   Average runs: {before_avg_runs:.2f} → {after_avg_runs:.2f} "
+        f"(+{after_avg_runs - before_avg_runs:.2f})"
+    )
+
+    # Verify changes occurred
+    runs_changed = (after["agent_runs"].get("total_runs") or 0) > (
+        before["agent_runs"].get("total_runs") or 0
+    )
+    reviews_changed = (after["reviews"].get("total_reviews") or 0) > (
+        before["reviews"].get("total_reviews") or 0
+    )
+
+    if runs_changed and reviews_changed:
+        print("\n✅ Materialized views are updating correctly!")
+        return True
+    else:
+        print("\n⚠️  Some materialized views may not have updated:")
+        if not runs_changed:
+            print("   - Agent run counts did not increase")
+        if not reviews_changed:
+            print("   - Review counts did not increase")
+        return False
+
+
+async def main():
+    db = Prisma()
+    await db.connect()
+
+    print("=" * 60)
+    print("Materialized Views Test")
+    print("=" * 60)
+
+    try:
+        # Check if data exists
+        user_count = await db.user.count()
+        if user_count == 0:
+            print("❌ No data in database. Please run test_data_creator.py first.")
+            await db.disconnect()
+            return
+
+        # 1. Check cron job
+        cron_exists = await check_cron_job(db)
+
+        # 2. Get initial counts
+        counts_before = await get_materialized_view_counts(db)
+
+        # 3. Add test data
+        data_added = await add_test_data(db)
+        refresh_success = False
+
+        if data_added:
+            # Wait a moment for data to be committed
+            print("\nWaiting for data to be committed...")
+            await asyncio.sleep(2)
+
+            # 4. Manually refresh views
+            refresh_success = await refresh_materialized_views(db)
+
+            if refresh_success:
+                # 5. Get counts after refresh
+                counts_after = await get_materialized_view_counts(db)
+
+                # 6. Compare results
+                await compare_counts(counts_before, counts_after)
+
+        # Summary
+        print("\n" + "=" * 60)
+        print("Test Summary")
+        print("=" * 60)
+        print(f"✓ pg_cron job exists: {'Yes' if cron_exists else 'No'}")
+        print(f"✓ Test data added: {'Yes' if data_added else 'No'}")
+        print(f"✓ Manual refresh worked: {'Yes' if refresh_success else 'No'}")
+        print(
+            f"✓ Views updated correctly: {'Yes' if data_added and refresh_success else 'Cannot verify'}"
+        )
+
+        if cron_exists:
+            print(
+                "\n💡 The materialized views will also refresh automatically every 15 minutes via pg_cron."
+            )
+        else:
+            print(
+                "\n⚠️  Automatic refresh is not configured. Views must be refreshed manually."
+            )
+
+    except Exception as e:
+        print(f"\n❌ Test failed with error: {e}")
+        import traceback
+
+        traceback.print_exc()
+
+    await db.disconnect()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/autogpt_platform/backend/backend/check_store_data.py b/autogpt_platform/backend/backend/check_store_data.py
new file mode 100644
index 000000000000..10aa6507baf8
--- /dev/null
+++ b/autogpt_platform/backend/backend/check_store_data.py
@@ -0,0 +1,159 @@
+#!/usr/bin/env python3
+"""Check store-related data in the database."""
+
+import asyncio
+
+from prisma import Prisma
+
+
+async def check_store_data(db):
+    """Check what store data exists in the database."""
+
+    print("============================================================")
+    print("Store Data Check")
+    print("============================================================")
+
+    # Check store listings
+    print("\n1. Store Listings:")
+    print("-" * 40)
+    listings = await db.storelisting.find_many()
+    print(f"Total store listings: {len(listings)}")
+
+    if listings:
+        for listing in listings[:5]:
+            print(f"\nListing ID: {listing.id}")
+            print(f"  Name: {listing.name}")
+            print(f"  Status: {listing.status}")
+            print(f"  Slug: {listing.slug}")
+
+    # Check store listing versions
+    print("\n\n2. Store Listing Versions:")
+    print("-" * 40)
+    versions = await db.storelistingversion.find_many(include={"StoreListing": True})
+    print(f"Total store listing versions: {len(versions)}")
+
+    # Group by submission status
+    status_counts = {}
+    for version in versions:
+        status = version.submissionStatus
+        status_counts[status] = status_counts.get(status, 0) + 1
+
+    print("\nVersions by status:")
+    for status, count in status_counts.items():
+        print(f"  {status}: {count}")
+
+    # Show approved versions
+    approved_versions = [v for v in versions if v.submissionStatus == "APPROVED"]
+    print(f"\nApproved versions: {len(approved_versions)}")
+    if approved_versions:
+        for version in approved_versions[:5]:
+            print(f"\n  Version ID: {version.id}")
+            print(f"    Listing: {version.StoreListing.name}")
+            print(f"    Version: {version.version}")
+
+    # Check store listing reviews
+    print("\n\n3. Store Listing Reviews:")
+    print("-" * 40)
+    reviews = await db.storelistingreview.find_many(
+        include={"StoreListingVersion": {"include": {"StoreListing": True}}}
+    )
+    print(f"Total reviews: {len(reviews)}")
+
+    if reviews:
+        # Calculate average rating
+        total_score = sum(r.score for r in reviews)
+        avg_score = total_score / len(reviews) if reviews else 0
+        print(f"Average rating: {avg_score:.2f}")
+
+        # Show sample reviews
+        print("\nSample reviews:")
+        for review in reviews[:3]:
+            print(f"\n  Review for: {review.StoreListingVersion.StoreListing.name}")
+            print(f"    Score: {review.score}")
+            print(f"    Comments: {review.comments[:100]}...")
+
+    # Check StoreAgent view data
+    print("\n\n4. StoreAgent View Data:")
+    print("-" * 40)
+
+    # Query the StoreAgent view
+    query = """
+    SELECT 
+        sa.listing_id,
+        sa.slug,
+        sa.agent_name,
+        sa.description,
+        sa.featured,
+        sa.runs,
+        sa.rating,
+        sa.creator_username,
+        sa.categories,
+        sa.updated_at
+    FROM "StoreAgent" sa
+    LIMIT 10;
+    """
+
+    store_agents = await db.query_raw(query)
+    print(f"Total store agents in view: {len(store_agents)}")
+
+    if store_agents:
+        for agent in store_agents[:5]:
+            print(f"\nStore Agent: {agent['agent_name']}")
+            print(f"  Slug: {agent['slug']}")
+            print(f"  Runs: {agent['runs']}")
+            print(f"  Rating: {agent['rating']}")
+            print(f"  Creator: {agent['creator_username']}")
+
+    # Check the underlying data that should populate StoreAgent
+    print("\n\n5. Data that should populate StoreAgent view:")
+    print("-" * 40)
+
+    # Check for any APPROVED store listing versions
+    query = """
+    SELECT COUNT(*) as count
+    FROM "StoreListingVersion"
+    WHERE "submissionStatus" = 'APPROVED'
+    """
+
+    result = await db.query_raw(query)
+    approved_count = result[0]["count"] if result else 0
+    print(f"Approved store listing versions: {approved_count}")
+
+    # Check for store listings with hasApprovedVersion = true
+    query = """
+    SELECT COUNT(*) as count
+    FROM "StoreListing"
+    WHERE "hasApprovedVersion" = true AND "isDeleted" = false
+    """
+
+    result = await db.query_raw(query)
+    has_approved_count = result[0]["count"] if result else 0
+    print(f"Store listings with approved versions: {has_approved_count}")
+
+    # Check agent graph executions
+    query = """
+    SELECT COUNT(DISTINCT "agentGraphId") as unique_agents,
+           COUNT(*) as total_executions
+    FROM "AgentGraphExecution"
+    """
+
+    result = await db.query_raw(query)
+    if result:
+        print("\nAgent Graph Executions:")
+        print(f"  Unique agents with executions: {result[0]['unique_agents']}")
+        print(f"  Total executions: {result[0]['total_executions']}")
+
+
+async def main():
+    """Main function."""
+    db = Prisma()
+    await db.connect()
+
+    try:
+        await check_store_data(db)
+    finally:
+        await db.disconnect()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/autogpt_platform/backend/backend/cli.py b/autogpt_platform/backend/backend/cli.py
index efaadd02b282..988961b2de40 100755
--- a/autogpt_platform/backend/backend/cli.py
+++ b/autogpt_platform/backend/backend/cli.py
@@ -8,7 +8,6 @@
 import click
 import psutil
 
-from backend import app
 from backend.util.process import AppProcess
 
 
@@ -42,8 +41,13 @@ def write_pid(pid: int):
 
 class MainApp(AppProcess):
     def run(self):
+        from backend import app
+
         app.main(silent=True)
 
+    def cleanup(self):
+        pass
+
 
 @click.group()
 def main():
@@ -113,20 +117,21 @@ def test():
 
 @test.command()
 @click.argument("server_address")
-def reddit(server_address: str):
+async def reddit(server_address: str):
     """
     Create an event graph
     """
-    import requests
-
     from backend.usecases.reddit_marketing import create_test_graph
+    from backend.util.request import Requests
 
     test_graph = create_test_graph()
     url = f"{server_address}/graphs"
     headers = {"Content-Type": "application/json"}
     data = test_graph.model_dump_json()
 
-    response = requests.post(url, headers=headers, data=data)
+    response = await Requests(trusted_origins=[server_address]).post(
+        url, headers=headers, data=data
+    )
 
     graph_id = response.json()["id"]
     print(f"Graph created with ID: {graph_id}")
@@ -134,28 +139,32 @@ def reddit(server_address: str):
 
 @test.command()
 @click.argument("server_address")
-def populate_db(server_address: str):
+async def populate_db(server_address: str):
     """
     Create an event graph
     """
-    import requests
 
     from backend.usecases.sample import create_test_graph
+    from backend.util.request import Requests
 
     test_graph = create_test_graph()
     url = f"{server_address}/graphs"
     headers = {"Content-Type": "application/json"}
     data = test_graph.model_dump_json()
 
-    response = requests.post(url, headers=headers, data=data)
+    response = await Requests(trusted_origins=[server_address]).post(
+        url, headers=headers, data=data
+    )
 
     graph_id = response.json()["id"]
 
-    if response.status_code == 200:
+    if response.status == 200:
         execute_url = f"{server_address}/graphs/{response.json()['id']}/execute"
         text = "Hello, World!"
         input_data = {"input": text}
-        response = requests.post(execute_url, headers=headers, json=input_data)
+        response = Requests(trusted_origins=[server_address]).post(
+            execute_url, headers=headers, json=input_data
+        )
 
         schedule_url = f"{server_address}/graphs/{graph_id}/schedules"
         data = {
@@ -163,51 +172,60 @@ def populate_db(server_address: str):
             "cron": "*/5 * * * *",
             "input_data": {"input": "Hello, World!"},
         }
-        response = requests.post(schedule_url, headers=headers, json=data)
+        response = Requests(trusted_origins=[server_address]).post(
+            schedule_url, headers=headers, json=data
+        )
 
     print("Database populated with: \n- graph\n- execution\n- schedule")
 
 
 @test.command()
 @click.argument("server_address")
-def graph(server_address: str):
+async def graph(server_address: str):
     """
     Create an event graph
     """
-    import requests
 
     from backend.usecases.sample import create_test_graph
+    from backend.util.request import Requests
 
     url = f"{server_address}/graphs"
     headers = {"Content-Type": "application/json"}
     data = create_test_graph().model_dump_json()
-    response = requests.post(url, headers=headers, data=data)
+    response = await Requests(trusted_origins=[server_address]).post(
+        url, headers=headers, data=data
+    )
 
-    if response.status_code == 200:
+    if response.status == 200:
         print(response.json()["id"])
         execute_url = f"{server_address}/graphs/{response.json()['id']}/execute"
         text = "Hello, World!"
         input_data = {"input": text}
-        response = requests.post(execute_url, headers=headers, json=input_data)
+        response = await Requests(trusted_origins=[server_address]).post(
+            execute_url, headers=headers, json=input_data
+        )
 
     else:
         print("Failed to send graph")
-        print(f"Response: {response.text}")
+        print(f"Response: {response.text()}")
 
 
 @test.command()
 @click.argument("graph_id")
 @click.argument("content")
-def execute(graph_id: str, content: dict):
+async def execute(graph_id: str, content: dict):
     """
     Create an event graph
     """
-    import requests
+
+    from backend.util.request import Requests
 
     headers = {"Content-Type": "application/json"}
 
     execute_url = f"http://0.0.0.0:8000/graphs/{graph_id}/execute"
-    requests.post(execute_url, headers=headers, json=content)
+    await Requests(trusted_origins=["http://0.0.0.0:8000"]).post(
+        execute_url, headers=headers, json=content
+    )
 
 
 @test.command()
@@ -220,8 +238,8 @@ def event():
 
 @test.command()
 @click.argument("server_address")
-@click.argument("graph_id")
-def websocket(server_address: str, graph_id: str):
+@click.argument("graph_exec_id")
+def websocket(server_address: str, graph_exec_id: str):
     """
     Tests the websocket connection.
     """
@@ -229,15 +247,21 @@ def websocket(server_address: str, graph_id: str):
 
     import websockets.asyncio.client
 
-    from backend.server.ws_api import ExecutionSubscription, Methods, WsMessage
+    from backend.server.ws_api import (
+        WSMessage,
+        WSMethod,
+        WSSubscribeGraphExecutionRequest,
+    )
 
     async def send_message(server_address: str):
         uri = f"ws://{server_address}"
         async with websockets.asyncio.client.connect(uri) as websocket:
             try:
-                msg = WsMessage(
-                    method=Methods.SUBSCRIBE,
-                    data=ExecutionSubscription(graph_id=graph_id).model_dump(),
+                msg = WSMessage(
+                    method=WSMethod.SUBSCRIBE_GRAPH_EXEC,
+                    data=WSSubscribeGraphExecutionRequest(
+                        graph_exec_id=graph_exec_id,
+                    ).model_dump(),
                 ).model_dump_json()
                 await websocket.send(msg)
                 print(f"Sending: {msg}")
diff --git a/autogpt_platform/backend/backend/conftest.py b/autogpt_platform/backend/backend/conftest.py
new file mode 100644
index 000000000000..d73ed7712c23
--- /dev/null
+++ b/autogpt_platform/backend/backend/conftest.py
@@ -0,0 +1,55 @@
+import logging
+import os
+
+import pytest
+from dotenv import load_dotenv
+
+from backend.util.logging import configure_logging
+
+os.environ["ENABLE_AUTH"] = "false"
+
+load_dotenv()
+
+#  NOTE: You can run tests like with the --log-cli-level=INFO to see the logs
+# Set up logging
+configure_logging()
+logger = logging.getLogger(__name__)
+
+# Reduce Prisma log spam unless PRISMA_DEBUG is set
+if not os.getenv("PRISMA_DEBUG"):
+    prisma_logger = logging.getLogger("prisma")
+    prisma_logger.setLevel(logging.INFO)
+
+
+@pytest.fixture(scope="session")
+async def server():
+    from backend.util.test import SpinTestServer
+
+    async with SpinTestServer() as server:
+        yield server
+
+
+@pytest.fixture(scope="session", autouse=True)
+async def graph_cleanup(server):
+    created_graph_ids = []
+    original_create_graph = server.agent_server.test_create_graph
+
+    async def create_graph_wrapper(*args, **kwargs):
+        created_graph = await original_create_graph(*args, **kwargs)
+        # Extract user_id correctly
+        user_id = kwargs.get("user_id", args[2] if len(args) > 2 else None)
+        created_graph_ids.append((created_graph.id, user_id))
+        return created_graph
+
+    try:
+        server.agent_server.test_create_graph = create_graph_wrapper
+        yield  # This runs the test function
+    finally:
+        server.agent_server.test_create_graph = original_create_graph
+
+        # Delete the created graphs and assert they were deleted
+        for graph_id, user_id in created_graph_ids:
+            if user_id:
+                resp = await server.agent_server.test_delete_graph(graph_id, user_id)
+                num_deleted = resp["version_counts"]
+                assert num_deleted > 0, f"Graph {graph_id} was not deleted."
diff --git a/autogpt_platform/backend/backend/data/__init__.py b/autogpt_platform/backend/backend/data/__init__.py
new file mode 100644
index 000000000000..7cbc4487be58
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/__init__.py
@@ -0,0 +1,5 @@
+from .graph import NodeModel
+from .integrations import Webhook  # noqa: F401
+
+# Resolve Webhook <- NodeModel forward reference
+NodeModel.model_rebuild()
diff --git a/autogpt_platform/backend/backend/data/analytics.py b/autogpt_platform/backend/backend/data/analytics.py
index e0ee6bc4e2b5..fde2d3fd6e50 100644
--- a/autogpt_platform/backend/backend/data/analytics.py
+++ b/autogpt_platform/backend/backend/data/analytics.py
@@ -2,6 +2,8 @@
 
 import prisma.types
 
+from backend.util.json import SafeJson
+
 logger = logging.getLogger(__name__)
 
 
@@ -12,12 +14,12 @@ async def log_raw_analytics(
     data_index: str,
 ):
     details = await prisma.models.AnalyticsDetails.prisma().create(
-        data={
-            "userId": user_id,
-            "type": type,
-            "data": prisma.Json(data),
-            "dataIndex": data_index,
-        }
+        data=prisma.types.AnalyticsDetailsCreateInput(
+            userId=user_id,
+            type=type,
+            data=SafeJson(data),
+            dataIndex=data_index,
+        )
     )
     return details
 
@@ -32,12 +34,12 @@ async def log_raw_metric(
         raise ValueError("metric_value must be non-negative")
 
     result = await prisma.models.AnalyticsMetrics.prisma().create(
-        data={
-            "value": metric_value,
-            "analyticMetric": metric_name,
-            "userId": user_id,
-            "dataString": data_string,
-        },
+        data=prisma.types.AnalyticsMetricsCreateInput(
+            value=metric_value,
+            analyticMetric=metric_name,
+            userId=user_id,
+            dataString=data_string,
+        )
     )
 
     return result
diff --git a/autogpt_platform/backend/backend/data/block.py b/autogpt_platform/backend/backend/data/block.py
index ea293dc197c4..0b47ae9362d7 100644
--- a/autogpt_platform/backend/backend/data/block.py
+++ b/autogpt_platform/backend/backend/data/block.py
@@ -1,12 +1,17 @@
+import functools
 import inspect
+import logging
+import os
 from abc import ABC, abstractmethod
+from collections.abc import AsyncGenerator as AsyncGen
 from enum import Enum
 from typing import (
+    TYPE_CHECKING,
     Any,
     ClassVar,
-    Generator,
     Generic,
     Optional,
+    Sequence,
     Type,
     TypeVar,
     cast,
@@ -16,23 +21,32 @@
 import jsonref
 import jsonschema
 from prisma.models import AgentBlock
+from prisma.types import AgentBlockCreateInput
 from pydantic import BaseModel
 
+from backend.data.model import NodeExecutionStats
+from backend.integrations.providers import ProviderName
 from backend.util import json
 from backend.util.settings import Config
 
 from .model import (
-    CREDENTIALS_FIELD_NAME,
     ContributorDetails,
     Credentials,
+    CredentialsFieldInfo,
     CredentialsMetaInput,
+    is_credentials_field_name,
 )
 
+logger = logging.getLogger(__name__)
+
+if TYPE_CHECKING:
+    from .graph import Link
+
 app_config = Config()
 
 BlockData = tuple[str, Any]  # Input & Output data should be a tuple of (name, data).
 BlockInput = dict[str, Any]  # Input: 1 input pin consumes 1 data.
-BlockOutput = Generator[BlockData, None, None]  # Output: 1 output pin produces n data.
+BlockOutput = AsyncGen[BlockData, None]  # Output: 1 output pin produces n data.
 CompletedBlockOutput = dict[str, list[Any]]  # Completed stream, collected as a dict.
 
 
@@ -44,6 +58,8 @@ class BlockType(Enum):
     WEBHOOK = "Webhook"
     WEBHOOK_MANUAL = "Webhook (manual)"
     AGENT = "Agent"
+    AI = "AI"
+    AYRSHARE = "Ayrshare"
 
 
 class BlockCategory(Enum):
@@ -61,6 +77,13 @@ class BlockCategory(Enum):
     HARDWARE = "Block that interacts with hardware."
     AGENT = "Block that interacts with other agents."
     CRM = "Block that interacts with CRM services."
+    SAFETY = (
+        "Block that provides AI safety mechanisms such as detecting harmful content"
+    )
+    PRODUCTIVITY = "Block that helps with productivity"
+    ISSUE_TRACKING = "Block that helps with issue tracking"
+    MULTIMEDIA = "Block that interacts with multimedia content"
+    MARKETING = "Block that helps with marketing"
 
     def dict(self) -> dict[str, str]:
         return {"category": self.name, "description": self.value}
@@ -97,32 +120,39 @@ def ref_to_dict(obj):
 
         cls.cached_jsonschema = cast(dict[str, Any], ref_to_dict(model))
 
-        # Set default properties values
-        for field in cls.cached_jsonschema.get("properties", {}).values():
-            if isinstance(field, dict) and "advanced" not in field:
-                field["advanced"] = True
-
         return cls.cached_jsonschema
 
     @classmethod
     def validate_data(cls, data: BlockInput) -> str | None:
-        return json.validate_with_jsonschema(schema=cls.jsonschema(), data=data)
+        return json.validate_with_jsonschema(
+            schema=cls.jsonschema(),
+            data={k: v for k, v in data.items() if v is not None},
+        )
 
     @classmethod
-    def validate_field(cls, field_name: str, data: BlockInput) -> str | None:
-        """
-        Validate the data against a specific property (one of the input/output name).
-        Returns the validation error message if the data does not match the schema.
-        """
+    def get_mismatch_error(cls, data: BlockInput) -> str | None:
+        return cls.validate_data(data)
+
+    @classmethod
+    def get_field_schema(cls, field_name: str) -> dict[str, Any]:
         model_schema = cls.jsonschema().get("properties", {})
         if not model_schema:
-            return f"Invalid model schema {cls}"
+            raise ValueError(f"Invalid model schema {cls}")
 
         property_schema = model_schema.get(field_name)
         if not property_schema:
-            return f"Invalid property name {field_name}"
+            raise ValueError(f"Invalid property name {field_name}")
+
+        return property_schema
 
+    @classmethod
+    def validate_field(cls, field_name: str, data: BlockInput) -> str | None:
+        """
+        Validate the data against a specific property (one of the input/output name).
+        Returns the validation error message if the data does not match the schema.
+        """
         try:
+            property_schema = cls.get_field_schema(field_name)
             jsonschema.validate(json.to_dict(data), property_schema)
             return None
         except jsonschema.ValidationError as e:
@@ -143,17 +173,38 @@ def get_required_fields(cls) -> set[str]:
     @classmethod
     def __pydantic_init_subclass__(cls, **kwargs):
         """Validates the schema definition. Rules:
-        - Only one `CredentialsMetaInput` field may be present.
-          - This field MUST be called `credentials`.
-        - A field that is called `credentials` MUST be a `CredentialsMetaInput`.
+        - Fields with annotation `CredentialsMetaInput` MUST be
+          named `credentials` or `*_credentials`
+        - Fields named `credentials` or `*_credentials` MUST be
+          of type `CredentialsMetaInput`
         """
         super().__pydantic_init_subclass__(**kwargs)
 
         # Reset cached JSON schema to prevent inheriting it from parent class
         cls.cached_jsonschema = {}
 
-        credentials_fields = [
-            field_name
+        credentials_fields = cls.get_credentials_fields()
+
+        for field_name in cls.get_fields():
+            if is_credentials_field_name(field_name):
+                if field_name not in credentials_fields:
+                    raise TypeError(
+                        f"Credentials field '{field_name}' on {cls.__qualname__} "
+                        f"is not of type {CredentialsMetaInput.__name__}"
+                    )
+
+                credentials_fields[field_name].validate_credentials_field_schema(cls)
+
+            elif field_name in credentials_fields:
+                raise KeyError(
+                    f"Credentials field '{field_name}' on {cls.__qualname__} "
+                    "has invalid name: must be 'credentials' or *_credentials"
+                )
+
+    @classmethod
+    def get_credentials_fields(cls) -> dict[str, type[CredentialsMetaInput]]:
+        return {
+            field_name: info.annotation
             for field_name, info in cls.model_fields.items()
             if (
                 inspect.isclass(info.annotation)
@@ -162,32 +213,29 @@ def __pydantic_init_subclass__(cls, **kwargs):
                     CredentialsMetaInput,
                 )
             )
-        ]
-        if len(credentials_fields) > 1:
-            raise ValueError(
-                f"{cls.__qualname__} can only have one CredentialsMetaInput field"
-            )
-        elif (
-            len(credentials_fields) == 1
-            and credentials_fields[0] != CREDENTIALS_FIELD_NAME
-        ):
-            raise ValueError(
-                f"CredentialsMetaInput field on {cls.__qualname__} "
-                "must be named 'credentials'"
-            )
-        elif (
-            len(credentials_fields) == 0
-            and CREDENTIALS_FIELD_NAME in cls.model_fields.keys()
-        ):
-            raise TypeError(
-                f"Field 'credentials' on {cls.__qualname__} "
-                f"must be of type {CredentialsMetaInput.__name__}"
-            )
-        if credentials_field := cls.model_fields.get(CREDENTIALS_FIELD_NAME):
-            credentials_input_type = cast(
-                CredentialsMetaInput, credentials_field.annotation
+        }
+
+    @classmethod
+    def get_credentials_fields_info(cls) -> dict[str, CredentialsFieldInfo]:
+        return {
+            field_name: CredentialsFieldInfo.model_validate(
+                cls.get_field_schema(field_name), by_alias=True
             )
-            credentials_input_type.validate_credentials_field_schema(cls)
+            for field_name in cls.get_credentials_fields().keys()
+        }
+
+    @classmethod
+    def get_input_defaults(cls, data: BlockInput) -> BlockInput:
+        return data  # Return as is, by default.
+
+    @classmethod
+    def get_missing_links(cls, data: BlockInput, links: list["Link"]) -> set[str]:
+        input_fields_from_nodes = {link.sink_name for link in links}
+        return input_fields_from_nodes - set(data)
+
+    @classmethod
+    def get_missing_input(cls, data: BlockInput) -> set[str]:
+        return cls.get_required_fields() - set(data)
 
 
 BlockSchemaInputType = TypeVar("BlockSchemaInputType", bound=BlockSchema)
@@ -205,7 +253,7 @@ class BlockManualWebhookConfig(BaseModel):
     the user has to manually set up the webhook at the provider.
     """
 
-    provider: str
+    provider: ProviderName
     """The service provider that the webhook connects to"""
 
     webhook_type: str
@@ -260,7 +308,7 @@ def __init__(
         test_input: BlockInput | list[BlockInput] | None = None,
         test_output: BlockData | list[BlockData] | None = None,
         test_mock: dict[str, Any] | None = None,
-        test_credentials: Optional[Credentials] = None,
+        test_credentials: Optional[Credentials | dict[str, Credentials]] = None,
         disabled: bool = False,
         static_output: bool = False,
         block_type: BlockType = BlockType.STANDARD,
@@ -297,15 +345,21 @@ def __init__(
         self.static_output = static_output
         self.block_type = block_type
         self.webhook_config = webhook_config
-        self.execution_stats = {}
+        self.execution_stats: NodeExecutionStats = NodeExecutionStats()
 
         if self.webhook_config:
             if isinstance(self.webhook_config, BlockWebhookConfig):
                 # Enforce presence of credentials field on auto-setup webhook blocks
-                if CREDENTIALS_FIELD_NAME not in self.input_schema.model_fields:
+                if not (cred_fields := self.input_schema.get_credentials_fields()):
                     raise TypeError(
                         "credentials field is required on auto-setup webhook blocks"
                     )
+                # Disallow multiple credentials inputs on webhook blocks
+                elif len(cred_fields) > 1:
+                    raise ValueError(
+                        "Multiple credentials inputs not supported on webhook blocks"
+                    )
+
                 self.block_type = BlockType.WEBHOOK
             else:
                 self.block_type = BlockType.WEBHOOK_MANUAL
@@ -343,36 +397,40 @@ def create(cls: Type["Block"]) -> "Block":
         return cls()
 
     @abstractmethod
-    def run(self, input_data: BlockSchemaInputType, **kwargs) -> BlockOutput:
+    async def run(self, input_data: BlockSchemaInputType, **kwargs) -> BlockOutput:
         """
         Run the block with the given input data.
         Args:
             input_data: The input data with the structure of input_schema.
+
+        Kwargs: Currently 14/02/2025 these include
+            graph_id: The ID of the graph.
+            node_id: The ID of the node.
+            graph_exec_id: The ID of the graph execution.
+            node_exec_id: The ID of the node execution.
+            user_id: The ID of the user.
+
         Returns:
             A Generator that yields (output_name, output_data).
             output_name: One of the output name defined in Block's output_schema.
             output_data: The data for the output_name, matching the defined schema.
         """
-        pass
-
-    def run_once(self, input_data: BlockSchemaInputType, output: str, **kwargs) -> Any:
-        for name, data in self.run(input_data, **kwargs):
+        # --- satisfy the type checker, never executed -------------
+        if False:  # noqa: SIM115
+            yield "name", "value"  # pyright: ignore[reportMissingYield]
+        raise NotImplementedError(f"{self.name} does not implement the run method.")
+
+    async def run_once(
+        self, input_data: BlockSchemaInputType, output: str, **kwargs
+    ) -> Any:
+        async for item in self.run(input_data, **kwargs):
+            name, data = item
             if name == output:
                 return data
         raise ValueError(f"{self.name} did not produce any output for {output}")
 
-    def merge_stats(self, stats: dict[str, Any]) -> dict[str, Any]:
-        for key, value in stats.items():
-            if isinstance(value, dict):
-                self.execution_stats.setdefault(key, {}).update(value)
-            elif isinstance(value, (int, float)):
-                self.execution_stats.setdefault(key, 0)
-                self.execution_stats[key] += value
-            elif isinstance(value, list):
-                self.execution_stats.setdefault(key, [])
-                self.execution_stats[key].extend(value)
-            else:
-                self.execution_stats[key] = value
+    def merge_stats(self, stats: NodeExecutionStats) -> NodeExecutionStats:
+        self.execution_stats += stats
         return self.execution_stats
 
     @property
@@ -394,14 +452,15 @@ def to_dict(self):
             "uiType": self.block_type.value,
         }
 
-    def execute(self, input_data: BlockInput, **kwargs) -> BlockOutput:
+    async def execute(self, input_data: BlockInput, **kwargs) -> BlockOutput:
         if error := self.input_schema.validate_data(input_data):
             raise ValueError(
                 f"Unable to execute block with invalid input data: {error}"
             )
 
-        for output_name, output_data in self.run(
-            self.input_schema(**input_data), **kwargs
+        async for output_name, output_data in self.run(
+            self.input_schema(**{k: v for k, v in input_data.items() if v is not None}),
+            **kwargs,
         ):
             if output_name == "error":
                 raise RuntimeError(output_data)
@@ -411,17 +470,158 @@ def execute(self, input_data: BlockInput, **kwargs) -> BlockOutput:
                 raise ValueError(f"Block produced an invalid output data: {error}")
             yield output_name, output_data
 
+    def is_triggered_by_event_type(
+        self, trigger_config: dict[str, Any], event_type: str
+    ) -> bool:
+        if not self.webhook_config:
+            raise TypeError("This method can't be used on non-trigger blocks")
+        if not self.webhook_config.event_filter_input:
+            return True
+        event_filter = trigger_config.get(self.webhook_config.event_filter_input)
+        if not event_filter:
+            raise ValueError("Event filter is not configured on trigger")
+        return event_type in [
+            self.webhook_config.event_format.format(event=k)
+            for k in event_filter
+            if event_filter[k] is True
+        ]
+
 
 # ======================= Block Helper Functions ======================= #
 
 
 def get_blocks() -> dict[str, Type[Block]]:
-    from backend.blocks import AVAILABLE_BLOCKS  # noqa: E402
+    from backend.blocks import load_all_blocks
+
+    return load_all_blocks()
+
+
+def is_block_auth_configured(
+    block_cls: type["Block[BlockSchema, BlockSchema]"],
+) -> bool:
+    """
+    Check if a block has a valid authentication method configured at runtime.
+
+    For example if a block is an OAuth-only block and there env vars are not set,
+    do not show it in the UI.
+
+    """
+    from backend.sdk.registry import AutoRegistry
+
+    # Create an instance to access input_schema
+    try:
+        block = block_cls()
+    except Exception as e:
+        # If we can't create a block instance, assume it's not OAuth-only
+        logger.error(f"Error creating block instance for {block_cls.__name__}: {e}")
+        return True
+    logger.debug(
+        f"Checking if block {block_cls.__name__} has a valid provider configured"
+    )
+
+    # Get all credential inputs from input schema
+    credential_inputs = block.input_schema.get_credentials_fields_info()
+    required_inputs = block.input_schema.get_required_fields()
+    if not credential_inputs:
+        logger.debug(
+            f"Block {block_cls.__name__} has no credential inputs - Treating as valid"
+        )
+        return True
+
+    # Check credential inputs
+    if len(required_inputs.intersection(credential_inputs.keys())) == 0:
+        logger.debug(
+            f"Block {block_cls.__name__} has only optional credential inputs"
+            " - will work without credentials configured"
+        )
+    if len(credential_inputs) > 1:
+        logger.warning(
+            f"Block {block_cls.__name__} has multiple credential inputs: "
+            f"{', '.join(credential_inputs.keys())}"
+        )
+
+    # Check if the credential inputs for this block are correctly configured
+    for field_name, field_info in credential_inputs.items():
+        provider_names = field_info.provider
+        if not provider_names:
+            logger.warning(
+                f"Block {block_cls.__name__} "
+                f"has credential input '{field_name}' with no provider options"
+                " - Disabling"
+            )
+            return False
+
+        # If a field has multiple possible providers, each one needs to be usable to
+        # prevent breaking the UX
+        for _provider_name in provider_names:
+            provider_name = _provider_name.value
+            if provider_name in ProviderName.__members__.values():
+                logger.debug(
+                    f"Block {block_cls.__name__} credential input '{field_name}' "
+                    f"provider '{provider_name}' is part of the legacy provider system"
+                    " - Treating as valid"
+                )
+                break
+
+            provider = AutoRegistry.get_provider(provider_name)
+            if not provider:
+                logger.warning(
+                    f"Block {block_cls.__name__} credential input '{field_name}' "
+                    f"refers to unknown provider '{provider_name}' - Disabling"
+                )
+                return False
+
+            # Check the provider's supported auth types
+            if field_info.supported_types != provider.supported_auth_types:
+                logger.warning(
+                    f"Block {block_cls.__name__} credential input '{field_name}' "
+                    f"has mismatched supported auth types (field <> Provider): "
+                    f"{field_info.supported_types} != {provider.supported_auth_types}"
+                )
+
+            if not (supported_auth_types := provider.supported_auth_types):
+                # No auth methods are been configured for this provider
+                logger.warning(
+                    f"Block {block_cls.__name__} credential input '{field_name}' "
+                    f"provider '{provider_name}' "
+                    "has no authentication methods configured - Disabling"
+                )
+                return False
+
+            # Check if provider supports OAuth
+            if "oauth2" in supported_auth_types:
+                # Check if OAuth environment variables are set
+                if (oauth_config := provider.oauth_config) and bool(
+                    os.getenv(oauth_config.client_id_env_var)
+                    and os.getenv(oauth_config.client_secret_env_var)
+                ):
+                    logger.debug(
+                        f"Block {block_cls.__name__} credential input '{field_name}' "
+                        f"provider '{provider_name}' is configured for OAuth"
+                    )
+                else:
+                    logger.error(
+                        f"Block {block_cls.__name__} credential input '{field_name}' "
+                        f"provider '{provider_name}' "
+                        "is missing OAuth client ID or secret - Disabling"
+                    )
+                    return False
+
+        logger.debug(
+            f"Block {block_cls.__name__} credential input '{field_name}' is valid; "
+            f"supported credential types: {', '.join(field_info.supported_types)}"
+        )
 
-    return AVAILABLE_BLOCKS
+    return True
 
 
 async def initialize_blocks() -> None:
+    # First, sync all provider costs to blocks
+    # Imported here to avoid circular import
+    from backend.sdk.cost_integration import sync_all_provider_costs
+
+    sync_all_provider_costs()
+
     for cls in get_blocks().values():
         block = cls()
         existing_block = await AgentBlock.prisma().find_first(
@@ -429,12 +629,12 @@ async def initialize_blocks() -> None:
         )
         if not existing_block:
             await AgentBlock.prisma().create(
-                data={
-                    "id": block.id,
-                    "name": block.name,
-                    "inputSchema": json.dumps(block.input_schema.jsonschema()),
-                    "outputSchema": json.dumps(block.output_schema.jsonschema()),
-                }
+                data=AgentBlockCreateInput(
+                    id=block.id,
+                    name=block.name,
+                    inputSchema=json.dumps(block.input_schema.jsonschema()),
+                    outputSchema=json.dumps(block.output_schema.jsonschema()),
+                )
             )
             continue
 
@@ -457,6 +657,25 @@ async def initialize_blocks() -> None:
             )
 
 
-def get_block(block_id: str) -> Block | None:
+# Note on the return type annotation: https://github.com/microsoft/pyright/issues/10281
+def get_block(block_id: str) -> Block[BlockSchema, BlockSchema] | None:
     cls = get_blocks().get(block_id)
     return cls() if cls else None
+
+
+@functools.cache
+def get_webhook_block_ids() -> Sequence[str]:
+    return [
+        id
+        for id, B in get_blocks().items()
+        if B().block_type in (BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL)
+    ]
+
+
+@functools.cache
+def get_io_block_ids() -> Sequence[str]:
+    return [
+        id
+        for id, B in get_blocks().items()
+        if B().block_type in (BlockType.INPUT, BlockType.OUTPUT)
+    ]
diff --git a/autogpt_platform/backend/backend/data/block_cost_config.py b/autogpt_platform/backend/backend/data/block_cost_config.py
index 4ed57b2b390d..64ad5222b32f 100644
--- a/autogpt_platform/backend/backend/data/block_cost_config.py
+++ b/autogpt_platform/backend/backend/data/block_cost_config.py
@@ -2,6 +2,16 @@
 
 from backend.blocks.ai_music_generator import AIMusicGeneratorBlock
 from backend.blocks.ai_shortform_video_block import AIShortformVideoCreatorBlock
+from backend.blocks.apollo.organization import SearchOrganizationsBlock
+from backend.blocks.apollo.people import SearchPeopleBlock
+from backend.blocks.apollo.person import GetPersonDetailBlock
+from backend.blocks.enrichlayer.linkedin import (
+    GetLinkedinProfileBlock,
+    GetLinkedinProfilePictureBlock,
+    LinkedinPersonLookupBlock,
+    LinkedinRoleLookupBlock,
+)
+from backend.blocks.flux_kontext import AIImageEditorBlock, FluxKontextModelName
 from backend.blocks.ideogram import IdeogramModelBlock
 from backend.blocks.jina.embeddings import JinaEmbeddingBlock
 from backend.blocks.jina.search import ExtractWebsiteContentBlock, SearchTheWebBlock
@@ -14,55 +24,83 @@
     AITextSummarizerBlock,
     LlmModel,
 )
-from backend.blocks.replicate_flux_advanced import ReplicateFluxAdvancedModelBlock
+from backend.blocks.replicate.flux_advanced import ReplicateFluxAdvancedModelBlock
+from backend.blocks.replicate.replicate_block import ReplicateModelBlock
+from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
 from backend.blocks.talking_head import CreateTalkingAvatarVideoBlock
 from backend.blocks.text_to_speech_block import UnrealTextToSpeechBlock
 from backend.data.block import Block
 from backend.data.cost import BlockCost, BlockCostType
 from backend.integrations.credentials_store import (
+    aiml_api_credentials,
     anthropic_credentials,
+    apollo_credentials,
     did_credentials,
+    enrichlayer_credentials,
     groq_credentials,
     ideogram_credentials,
     jina_credentials,
+    llama_api_credentials,
     open_router_credentials,
     openai_credentials,
     replicate_credentials,
     revid_credentials,
     unreal_credentials,
+    v0_credentials,
 )
 
 # =============== Configure the cost for each LLM Model call =============== #
 
 MODEL_COST: dict[LlmModel, int] = {
-    LlmModel.O1_PREVIEW: 16,
+    LlmModel.O3: 4,
+    LlmModel.O3_MINI: 2,  # $1.10 / $4.40
+    LlmModel.O1: 16,  # $15 / $60
     LlmModel.O1_MINI: 4,
+    # GPT-5 models
+    LlmModel.GPT5: 2,
+    LlmModel.GPT5_MINI: 1,
+    LlmModel.GPT5_NANO: 1,
+    LlmModel.GPT5_CHAT: 2,
+    LlmModel.GPT41: 2,
+    LlmModel.GPT41_MINI: 1,
     LlmModel.GPT4O_MINI: 1,
     LlmModel.GPT4O: 3,
     LlmModel.GPT4_TURBO: 10,
     LlmModel.GPT3_5_TURBO: 1,
+    LlmModel.CLAUDE_4_1_OPUS: 21,
+    LlmModel.CLAUDE_4_OPUS: 21,
+    LlmModel.CLAUDE_4_SONNET: 5,
+    LlmModel.CLAUDE_3_7_SONNET: 5,
     LlmModel.CLAUDE_3_5_SONNET: 4,
+    LlmModel.CLAUDE_3_5_HAIKU: 1,  # $0.80 / $4.00
     LlmModel.CLAUDE_3_HAIKU: 1,
+    LlmModel.AIML_API_QWEN2_5_72B: 1,
+    LlmModel.AIML_API_LLAMA3_1_70B: 1,
+    LlmModel.AIML_API_LLAMA3_3_70B: 1,
+    LlmModel.AIML_API_META_LLAMA_3_1_70B: 1,
+    LlmModel.AIML_API_LLAMA_3_2_3B: 1,
     LlmModel.LLAMA3_8B: 1,
     LlmModel.LLAMA3_70B: 1,
-    LlmModel.MIXTRAL_8X7B: 1,
-    LlmModel.GEMMA_7B: 1,
     LlmModel.GEMMA2_9B: 1,
-    LlmModel.LLAMA3_1_405B: 1,
-    LlmModel.LLAMA3_1_70B: 1,
+    LlmModel.LLAMA3_3_70B: 1,  # $0.59 / $0.79
     LlmModel.LLAMA3_1_8B: 1,
+    LlmModel.OLLAMA_LLAMA3_3: 1,
+    LlmModel.OLLAMA_LLAMA3_2: 1,
     LlmModel.OLLAMA_LLAMA3_8B: 1,
     LlmModel.OLLAMA_LLAMA3_405B: 1,
+    LlmModel.DEEPSEEK_LLAMA_70B: 1,  # ? / ?
     LlmModel.OLLAMA_DOLPHIN: 1,
-    LlmModel.GEMINI_FLASH_1_5_8B: 1,
-    LlmModel.GROK_BETA: 5,
+    LlmModel.OPENAI_GPT_OSS_120B: 1,
+    LlmModel.OPENAI_GPT_OSS_20B: 1,
+    LlmModel.GEMINI_FLASH_1_5: 1,
+    LlmModel.GEMINI_2_5_PRO: 4,
     LlmModel.MISTRAL_NEMO: 1,
     LlmModel.COHERE_COMMAND_R_08_2024: 1,
     LlmModel.COHERE_COMMAND_R_PLUS_08_2024: 3,
-    LlmModel.EVA_QWEN_2_5_32B: 1,
     LlmModel.DEEPSEEK_CHAT: 2,
-    LlmModel.PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE: 1,
-    LlmModel.QWEN_QWQ_32B_PREVIEW: 2,
+    LlmModel.PERPLEXITY_SONAR: 1,
+    LlmModel.PERPLEXITY_SONAR_PRO: 5,
+    LlmModel.PERPLEXITY_SONAR_DEEP_RESEARCH: 10,
     LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: 1,
     LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B: 1,
     LlmModel.AMAZON_NOVA_LITE_V1: 1,
@@ -70,6 +108,25 @@
     LlmModel.AMAZON_NOVA_PRO_V1: 1,
     LlmModel.MICROSOFT_WIZARDLM_2_8X22B: 1,
     LlmModel.GRYPHE_MYTHOMAX_L2_13B: 1,
+    LlmModel.META_LLAMA_4_SCOUT: 1,
+    LlmModel.META_LLAMA_4_MAVERICK: 1,
+    LlmModel.LLAMA_API_LLAMA_4_SCOUT: 1,
+    LlmModel.LLAMA_API_LLAMA4_MAVERICK: 1,
+    LlmModel.LLAMA_API_LLAMA3_3_8B: 1,
+    LlmModel.LLAMA_API_LLAMA3_3_70B: 1,
+    LlmModel.GROK_4: 9,
+    LlmModel.KIMI_K2: 1,
+    LlmModel.QWEN3_235B_A22B_THINKING: 1,
+    LlmModel.QWEN3_CODER: 9,
+    LlmModel.GEMINI_2_5_FLASH: 1,
+    LlmModel.GEMINI_2_0_FLASH: 1,
+    LlmModel.GEMINI_2_5_FLASH_LITE_PREVIEW: 1,
+    LlmModel.GEMINI_2_0_FLASH_LITE: 1,
+    LlmModel.DEEPSEEK_R1_0528: 1,
+    # v0 by Vercel models
+    LlmModel.V0_1_5_MD: 1,
+    LlmModel.V0_1_5_LG: 2,
+    LlmModel.V0_1_0_MD: 1,
 }
 
 for model in LlmModel:
@@ -142,6 +199,57 @@
         for model, cost in MODEL_COST.items()
         if MODEL_METADATA[model].provider == "open_router"
     ]
+    # Llama API Models
+    + [
+        BlockCost(
+            cost_type=BlockCostType.RUN,
+            cost_filter={
+                "model": model,
+                "credentials": {
+                    "id": llama_api_credentials.id,
+                    "provider": llama_api_credentials.provider,
+                    "type": llama_api_credentials.type,
+                },
+            },
+            cost_amount=cost,
+        )
+        for model, cost in MODEL_COST.items()
+        if MODEL_METADATA[model].provider == "llama_api"
+    ]
+    # v0 by Vercel Models
+    + [
+        BlockCost(
+            cost_type=BlockCostType.RUN,
+            cost_filter={
+                "model": model,
+                "credentials": {
+                    "id": v0_credentials.id,
+                    "provider": v0_credentials.provider,
+                    "type": v0_credentials.type,
+                },
+            },
+            cost_amount=cost,
+        )
+        for model, cost in MODEL_COST.items()
+        if MODEL_METADATA[model].provider == "v0"
+    ]
+    # AI/ML Api Models
+    + [
+        BlockCost(
+            cost_type=BlockCostType.RUN,
+            cost_filter={
+                "model": model,
+                "credentials": {
+                    "id": aiml_api_credentials.id,
+                    "provider": aiml_api_credentials.provider,
+                    "type": aiml_api_credentials.type,
+                },
+            },
+            cost_amount=cost,
+        )
+        for model, cost in MODEL_COST.items()
+        if MODEL_METADATA[model].provider == "aiml_api"
+    ]
 )
 
 # =============== This is the exhaustive list of cost for each Block =============== #
@@ -199,7 +307,18 @@
                     "type": ideogram_credentials.type,
                 }
             },
-        )
+        ),
+        BlockCost(
+            cost_amount=18,
+            cost_filter={
+                "ideogram_model_name": "V_3",
+                "credentials": {
+                    "id": ideogram_credentials.id,
+                    "provider": ideogram_credentials.provider,
+                    "type": ideogram_credentials.type,
+                },
+            },
+        ),
     ],
     AIShortformVideoCreatorBlock: [
         BlockCost(
@@ -225,6 +344,42 @@
             },
         )
     ],
+    ReplicateModelBlock: [
+        BlockCost(
+            cost_amount=10,
+            cost_filter={
+                "credentials": {
+                    "id": replicate_credentials.id,
+                    "provider": replicate_credentials.provider,
+                    "type": replicate_credentials.type,
+                }
+            },
+        )
+    ],
+    AIImageEditorBlock: [
+        BlockCost(
+            cost_amount=10,
+            cost_filter={
+                "model": FluxKontextModelName.PRO.api_name,
+                "credentials": {
+                    "id": replicate_credentials.id,
+                    "provider": replicate_credentials.provider,
+                    "type": replicate_credentials.type,
+                },
+            },
+        ),
+        BlockCost(
+            cost_amount=20,
+            cost_filter={
+                "model": FluxKontextModelName.MAX.api_name,
+                "credentials": {
+                    "id": replicate_credentials.id,
+                    "provider": replicate_credentials.provider,
+                    "type": replicate_credentials.type,
+                },
+            },
+        ),
+    ],
     AIMusicGeneratorBlock: [
         BlockCost(
             cost_amount=11,
@@ -261,4 +416,101 @@
             },
         )
     ],
+    GetLinkedinProfileBlock: [
+        BlockCost(
+            cost_amount=1,
+            cost_filter={
+                "credentials": {
+                    "id": enrichlayer_credentials.id,
+                    "provider": enrichlayer_credentials.provider,
+                    "type": enrichlayer_credentials.type,
+                }
+            },
+        )
+    ],
+    LinkedinPersonLookupBlock: [
+        BlockCost(
+            cost_amount=2,
+            cost_filter={
+                "credentials": {
+                    "id": enrichlayer_credentials.id,
+                    "provider": enrichlayer_credentials.provider,
+                    "type": enrichlayer_credentials.type,
+                }
+            },
+        )
+    ],
+    LinkedinRoleLookupBlock: [
+        BlockCost(
+            cost_amount=3,
+            cost_filter={
+                "credentials": {
+                    "id": enrichlayer_credentials.id,
+                    "provider": enrichlayer_credentials.provider,
+                    "type": enrichlayer_credentials.type,
+                }
+            },
+        )
+    ],
+    GetLinkedinProfilePictureBlock: [
+        BlockCost(
+            cost_amount=3,
+            cost_filter={
+                "credentials": {
+                    "id": enrichlayer_credentials.id,
+                    "provider": enrichlayer_credentials.provider,
+                    "type": enrichlayer_credentials.type,
+                }
+            },
+        )
+    ],
+    SmartDecisionMakerBlock: LLM_COST,
+    SearchOrganizationsBlock: [
+        BlockCost(
+            cost_amount=2,
+            cost_filter={
+                "credentials": {
+                    "id": apollo_credentials.id,
+                    "provider": apollo_credentials.provider,
+                    "type": apollo_credentials.type,
+                }
+            },
+        )
+    ],
+    SearchPeopleBlock: [
+        BlockCost(
+            cost_amount=10,
+            cost_filter={
+                "enrich_info": False,
+                "credentials": {
+                    "id": apollo_credentials.id,
+                    "provider": apollo_credentials.provider,
+                    "type": apollo_credentials.type,
+                },
+            },
+        ),
+        BlockCost(
+            cost_amount=20,
+            cost_filter={
+                "enrich_info": True,
+                "credentials": {
+                    "id": apollo_credentials.id,
+                    "provider": apollo_credentials.provider,
+                    "type": apollo_credentials.type,
+                },
+            },
+        ),
+    ],
+    GetPersonDetailBlock: [
+        BlockCost(
+            cost_amount=1,
+            cost_filter={
+                "credentials": {
+                    "id": apollo_credentials.id,
+                    "provider": apollo_credentials.provider,
+                    "type": apollo_credentials.type,
+                }
+            },
+        )
+    ],
 }
diff --git a/autogpt_platform/backend/backend/data/cost.py b/autogpt_platform/backend/backend/data/cost.py
index 3e3e9bae65aa..2318d72d7a23 100644
--- a/autogpt_platform/backend/backend/data/cost.py
+++ b/autogpt_platform/backend/backend/data/cost.py
@@ -10,7 +10,6 @@ class BlockCostType(str, Enum):
     RUN = "run"  # cost X credits per run
     BYTE = "byte"  # cost X credits per byte
     SECOND = "second"  # cost X credits per second
-    DOLLAR = "dollar"  # cost X dollars per run
 
 
 class BlockCost(BaseModel):
diff --git a/autogpt_platform/backend/backend/data/credit.py b/autogpt_platform/backend/backend/data/credit.py
index b476f1f0d0b1..b83d6fbb564b 100644
--- a/autogpt_platform/backend/backend/data/credit.py
+++ b/autogpt_platform/backend/backend/data/credit.py
@@ -1,30 +1,106 @@
+import logging
 from abc import ABC, abstractmethod
+from collections import defaultdict
 from datetime import datetime, timezone
+from typing import Any, cast
 
+import stripe
 from prisma import Json
-from prisma.enums import CreditTransactionType
+from prisma.enums import (
+    CreditRefundRequestStatus,
+    CreditTransactionType,
+    NotificationType,
+    OnboardingStep,
+)
 from prisma.errors import UniqueViolationError
-from prisma.models import CreditTransaction
+from prisma.models import CreditRefundRequest, CreditTransaction, User
+from prisma.types import (
+    CreditRefundRequestCreateInput,
+    CreditTransactionCreateInput,
+    CreditTransactionWhereInput,
+)
+from pydantic import BaseModel
 
-from backend.data.block import Block, BlockInput, get_block
+from backend.data import db
 from backend.data.block_cost_config import BLOCK_COSTS
-from backend.data.cost import BlockCost, BlockCostType
-from backend.util.settings import Config
+from backend.data.cost import BlockCost
+from backend.data.model import (
+    AutoTopUpConfig,
+    RefundRequest,
+    TopUpType,
+    TransactionHistory,
+    UserTransaction,
+)
+from backend.data.notifications import NotificationEventModel, RefundRequestData
+from backend.data.user import get_user_by_id, get_user_email_by_id
+from backend.notifications.notifications import queue_notification_async
+from backend.server.v2.admin.model import UserHistoryResponse
+from backend.util.exceptions import InsufficientBalanceError
+from backend.util.json import SafeJson
+from backend.util.models import Pagination
+from backend.util.retry import func_retry
+from backend.util.settings import Settings
 
-config = Config()
+settings = Settings()
+stripe.api_key = settings.secrets.stripe_api_key
+logger = logging.getLogger(__name__)
+base_url = settings.config.frontend_base_url or settings.config.platform_base_url
+
+
+class UsageTransactionMetadata(BaseModel):
+    graph_exec_id: str | None = None
+    graph_id: str | None = None
+    node_id: str | None = None
+    node_exec_id: str | None = None
+    block_id: str | None = None
+    block: str | None = None
+    input: dict[str, Any] | None = None
+    reason: str | None = None
 
 
 class UserCreditBase(ABC):
-    def __init__(self, num_user_credits_refill: int):
-        self.num_user_credits_refill = num_user_credits_refill
+    @abstractmethod
+    async def get_credits(self, user_id: str) -> int:
+        """
+        Get the current credits for the user.
+
+        Returns:
+            int: The current credits for the user.
+        """
+        pass
 
     @abstractmethod
-    async def get_or_refill_credit(self, user_id: str) -> int:
+    async def get_transaction_history(
+        self,
+        user_id: str,
+        transaction_count_limit: int,
+        transaction_time_ceiling: datetime | None = None,
+        transaction_type: str | None = None,
+    ) -> TransactionHistory:
         """
-        Get the current credit for the user and refill if no transaction has been made in the current cycle.
+        Get the credit transactions for the user.
+
+        Args:
+            user_id (str): The user ID.
+            transaction_count_limit (int): The transaction count limit.
+            transaction_time_ceiling (datetime): The upper bound of the transaction time.
+            transaction_type (str): The transaction type filter.
 
         Returns:
-            int: The current credit for the user.
+            TransactionHistory: The credit transactions for the user.
+        """
+        pass
+
+    @abstractmethod
+    async def get_refund_requests(self, user_id: str) -> list[RefundRequest]:
+        """
+        Get the refund requests for the user.
+
+        Args:
+            user_id (str): The user ID.
+
+        Returns:
+            list[RefundRequest]: The refund requests for the user.
         """
         pass
 
@@ -32,25 +108,19 @@ async def get_or_refill_credit(self, user_id: str) -> int:
     async def spend_credits(
         self,
         user_id: str,
-        user_credit: int,
-        block_id: str,
-        input_data: BlockInput,
-        data_size: float,
-        run_time: float,
+        cost: int,
+        metadata: UsageTransactionMetadata,
     ) -> int:
         """
-        Spend the credits for the user based on the block usage.
+        Spend the credits for the user based on the cost.
 
         Args:
             user_id (str): The user ID.
-            user_credit (int): The current credit for the user.
-            block_id (str): The block ID.
-            input_data (BlockInput): The input data for the block.
-            data_size (float): The size of the data being processed.
-            run_time (float): The time taken to run the block.
+            cost (int): The cost to spend.
+            metadata (UsageTransactionMetadata): The metadata of the transaction.
 
         Returns:
-            int: amount of credit spent
+            int: The remaining balance.
         """
         pass
 
@@ -65,156 +135,832 @@ async def top_up_credits(self, user_id: str, amount: int):
         """
         pass
 
+    @abstractmethod
+    async def onboarding_reward(self, user_id: str, credits: int, step: OnboardingStep):
+        """
+        Reward the user with credits for completing an onboarding step.
+        Won't reward if the user has already received credits for the step.
 
-class UserCredit(UserCreditBase):
-    async def get_or_refill_credit(self, user_id: str) -> int:
-        cur_time = self.time_now()
-        cur_month = cur_time.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
-        nxt_month = (
-            cur_month.replace(month=cur_month.month + 1)
-            if cur_month.month < 12
-            else cur_month.replace(year=cur_month.year + 1, month=1)
+        Args:
+            user_id (str): The user ID.
+            step (OnboardingStep): The onboarding step.
+        """
+        pass
+
+    @abstractmethod
+    async def top_up_intent(self, user_id: str, amount: int) -> str:
+        """
+        Create a payment intent to top up the credits for the user.
+
+        Args:
+            user_id (str): The user ID.
+            amount (int): The amount of credits to top up.
+
+        Returns:
+            str: The redirect url to the payment page.
+        """
+        pass
+
+    @abstractmethod
+    async def top_up_refund(
+        self, user_id: str, transaction_key: str, metadata: dict[str, str]
+    ) -> int:
+        """
+        Refund the top-up transaction for the user.
+
+        Args:
+            user_id (str): The user ID.
+            transaction_key (str): The top-up transaction key to refund.
+            metadata (dict[str, str]): The metadata of the refund.
+
+        Returns:
+            int: The amount refunded.
+        """
+        pass
+
+    @abstractmethod
+    async def deduct_credits(
+        self,
+        request: stripe.Refund | stripe.Dispute,
+    ):
+        """
+        Deduct the credits for the user based on the dispute or refund of the top-up.
+
+        Args:
+            request (stripe.Refund | stripe.Dispute): The refund or dispute request.
+        """
+        pass
+
+    @abstractmethod
+    async def handle_dispute(self, dispute: stripe.Dispute):
+        """
+        Handle the dispute for the user based on the dispute request.
+
+        Args:
+            dispute (stripe.Dispute): The dispute request.
+        """
+        pass
+
+    @abstractmethod
+    async def fulfill_checkout(
+        self, *, session_id: str | None = None, user_id: str | None = None
+    ):
+        """
+        Fulfill the Stripe checkout session.
+
+        Args:
+            session_id (str | None): The checkout session ID. Will try to fulfill most recent if None.
+            user_id (str | None): The user ID must be provided if session_id is None.
+        """
+        pass
+
+    @staticmethod
+    async def create_billing_portal_session(user_id: str) -> str:
+        session = stripe.billing_portal.Session.create(
+            customer=await get_stripe_customer_id(user_id),
+            return_url=base_url + "/profile/credits",
         )
+        return session.url
+
+    @staticmethod
+    def time_now() -> datetime:
+        return datetime.now(timezone.utc)
+
+    # ====== Transaction Helper Methods ====== #
+    # Any modifications to the transaction table should only be done through these methods #
 
-        user_credit = await CreditTransaction.prisma().group_by(
+    async def _get_credits(self, user_id: str) -> tuple[int, datetime]:
+        """
+        Returns the current balance of the user & the latest balance snapshot time.
+        """
+        top_time = self.time_now()
+        snapshot = await CreditTransaction.prisma().find_first(
+            where={
+                "userId": user_id,
+                "createdAt": {"lte": top_time},
+                "isActive": True,
+                "NOT": [{"runningBalance": None}],
+            },
+            order={"createdAt": "desc"},
+        )
+        datetime_min = datetime.min.replace(tzinfo=timezone.utc)
+        snapshot_balance = snapshot.runningBalance or 0 if snapshot else 0
+        snapshot_time = snapshot.createdAt if snapshot else datetime_min
+
+        # Get transactions after the snapshot, this should not exist, but just in case.
+        transactions = await CreditTransaction.prisma().group_by(
             by=["userId"],
             sum={"amount": True},
+            max={"createdAt": True},
             where={
                 "userId": user_id,
-                "createdAt": {"gte": cur_month, "lt": nxt_month},
+                "createdAt": {
+                    "gt": snapshot_time,
+                    "lte": top_time,
+                },
                 "isActive": True,
             },
         )
+        transaction_balance = (
+            int(transactions[0].get("_sum", {}).get("amount", 0) + snapshot_balance)
+            if transactions
+            else snapshot_balance
+        )
+        transaction_time = (
+            datetime.fromisoformat(
+                str(transactions[0].get("_max", {}).get("createdAt", datetime_min))
+            )
+            if transactions
+            else snapshot_time
+        )
+        return transaction_balance, transaction_time
 
-        if user_credit:
-            credit_sum = user_credit[0].get("_sum") or {}
-            return credit_sum.get("amount", 0)
+    @func_retry
+    async def _enable_transaction(
+        self,
+        transaction_key: str,
+        user_id: str,
+        metadata: Json,
+        new_transaction_key: str | None = None,
+    ):
+        transaction = await CreditTransaction.prisma().find_first_or_raise(
+            where={"transactionKey": transaction_key, "userId": user_id}
+        )
+        if transaction.isActive:
+            return
 
-        key = f"MONTHLY-CREDIT-TOP-UP-{cur_month}"
+        async with db.locked_transaction(f"usr_trx_{user_id}"):
 
-        try:
-            await CreditTransaction.prisma().create(
+            transaction = await CreditTransaction.prisma().find_first_or_raise(
+                where={"transactionKey": transaction_key, "userId": user_id}
+            )
+            if transaction.isActive:
+                return
+
+            user_balance, _ = await self._get_credits(user_id)
+            await CreditTransaction.prisma().update(
+                where={
+                    "creditTransactionIdentifier": {
+                        "transactionKey": transaction_key,
+                        "userId": user_id,
+                    }
+                },
                 data={
-                    "amount": self.num_user_credits_refill,
-                    "type": CreditTransactionType.TOP_UP,
-                    "userId": user_id,
-                    "transactionKey": key,
+                    "transactionKey": new_transaction_key or transaction_key,
+                    "isActive": True,
+                    "runningBalance": user_balance + transaction.amount,
                     "createdAt": self.time_now(),
-                }
+                    "metadata": metadata,
+                },
             )
-        except UniqueViolationError:
-            pass  # Already refilled this month
 
-        return self.num_user_credits_refill
+    async def _add_transaction(
+        self,
+        user_id: str,
+        amount: int,
+        transaction_type: CreditTransactionType,
+        is_active: bool = True,
+        transaction_key: str | None = None,
+        ceiling_balance: int | None = None,
+        fail_insufficient_credits: bool = True,
+        metadata: Json = SafeJson({}),
+    ) -> tuple[int, str]:
+        """
+        Add a new transaction for the user.
+        This is the only method that should be used to add a new transaction.
 
-    @staticmethod
-    def time_now():
-        return datetime.now(timezone.utc)
+        Args:
+            user_id (str): The user ID.
+            amount (int): The amount of credits to add.
+            transaction_type (CreditTransactionType): The type of transaction.
+            is_active (bool): Whether the transaction is active or needs to be manually activated through _enable_transaction.
+            transaction_key (str | None): The transaction key. Avoids adding transaction if the key already exists.
+            ceiling_balance (int | None): The ceiling balance. Avoids adding more credits if the balance is already above the ceiling.
+            fail_insufficient_credits (bool): Whether to fail if the user has insufficient credits.
+            metadata (Json): The metadata of the transaction.
 
-    def _block_usage_cost(
-        self,
-        block: Block,
-        input_data: BlockInput,
-        data_size: float,
-        run_time: float,
-    ) -> tuple[int, BlockInput]:
-        block_costs = BLOCK_COSTS.get(type(block))
-        if not block_costs:
-            return 0, {}
-
-        for block_cost in block_costs:
-            if not self._is_cost_filter_match(block_cost.cost_filter, input_data):
-                continue
-
-            if block_cost.cost_type == BlockCostType.RUN:
-                return block_cost.cost_amount, block_cost.cost_filter
-
-            if block_cost.cost_type == BlockCostType.SECOND:
-                return (
-                    int(run_time * block_cost.cost_amount),
-                    block_cost.cost_filter,
-                )
+        Returns:
+            tuple[int, str]: The new balance & the transaction key.
+        """
+        async with db.locked_transaction(f"usr_trx_{user_id}"):
+            # Get latest balance snapshot
+            user_balance, _ = await self._get_credits(user_id)
 
-            if block_cost.cost_type == BlockCostType.BYTE:
-                return (
-                    int(data_size * block_cost.cost_amount),
-                    block_cost.cost_filter,
+            if ceiling_balance and amount > 0 and user_balance >= ceiling_balance:
+                raise ValueError(
+                    f"You already have enough balance of ${user_balance/100}, top-up is not required when you already have at least ${ceiling_balance/100}"
                 )
 
-        return 0, {}
+            if amount < 0 and user_balance + amount < 0:
+                if fail_insufficient_credits:
+                    raise InsufficientBalanceError(
+                        message=f"Insufficient balance of ${user_balance/100}, where this will cost ${abs(amount)/100}",
+                        user_id=user_id,
+                        balance=user_balance,
+                        amount=amount,
+                    )
 
-    def _is_cost_filter_match(
-        self, cost_filter: BlockInput, input_data: BlockInput
-    ) -> bool:
-        """
-        Filter rules:
-          - If costFilter is an object, then check if costFilter is the subset of inputValues
-          - Otherwise, check if costFilter is equal to inputValues.
-          - Undefined, null, and empty string are considered as equal.
-        """
-        if not isinstance(cost_filter, dict) or not isinstance(input_data, dict):
-            return cost_filter == input_data
+                amount = min(-user_balance, 0)
+
+            # Create the transaction
+            transaction_data: CreditTransactionCreateInput = {
+                "userId": user_id,
+                "amount": amount,
+                "runningBalance": user_balance + amount,
+                "type": transaction_type,
+                "metadata": metadata,
+                "isActive": is_active,
+                "createdAt": self.time_now(),
+            }
+            if transaction_key:
+                transaction_data["transactionKey"] = transaction_key
+            tx = await CreditTransaction.prisma().create(data=transaction_data)
+            return user_balance + amount, tx.transactionKey
 
-        return all(
-            (not input_data.get(k) and not v)
-            or (input_data.get(k) and self._is_cost_filter_match(v, input_data[k]))
-            for k, v in cost_filter.items()
+
+class UserCredit(UserCreditBase):
+
+    async def _send_refund_notification(
+        self,
+        notification_request: RefundRequestData,
+        notification_type: NotificationType,
+    ):
+        await queue_notification_async(
+            NotificationEventModel(
+                user_id=notification_request.user_id,
+                type=notification_type,
+                data=notification_request,
+            )
         )
 
     async def spend_credits(
         self,
         user_id: str,
-        user_credit: int,
-        block_id: str,
-        input_data: BlockInput,
-        data_size: float,
-        run_time: float,
-        validate_balance: bool = True,
+        cost: int,
+        metadata: UsageTransactionMetadata,
     ) -> int:
-        block = get_block(block_id)
-        if not block:
-            raise ValueError(f"Block not found: {block_id}")
+        if cost == 0:
+            return 0
 
-        cost, matching_filter = self._block_usage_cost(
-            block=block, input_data=input_data, data_size=data_size, run_time=run_time
+        balance, _ = await self._add_transaction(
+            user_id=user_id,
+            amount=-cost,
+            transaction_type=CreditTransactionType.USAGE,
+            metadata=SafeJson(metadata.model_dump()),
         )
-        if cost <= 0:
-            return 0
 
-        if validate_balance and user_credit < cost:
-            raise ValueError(f"Insufficient credit: {user_credit} < {cost}")
+        # Auto top-up if balance is below threshold.
+        auto_top_up = await get_auto_top_up(user_id)
+        if auto_top_up.threshold and balance < auto_top_up.threshold:
+            try:
+                await self._top_up_credits(
+                    user_id=user_id,
+                    amount=auto_top_up.amount,
+                    # Avoid multiple auto top-ups within the same graph execution.
+                    key=f"AUTO-TOP-UP-{user_id}-{metadata.graph_exec_id}",
+                    ceiling_balance=auto_top_up.threshold,
+                    top_up_type=TopUpType.AUTO,
+                )
+            except Exception as e:
+                # Failed top-up is not critical, we can move on.
+                logger.error(
+                    f"Auto top-up failed for user {user_id}, balance: {balance}, amount: {auto_top_up.amount}, error: {e}"
+                )
 
-        await CreditTransaction.prisma().create(
-            data={
+        return balance
+
+    async def top_up_credits(
+        self,
+        user_id: str,
+        amount: int,
+        top_up_type: TopUpType = TopUpType.UNCATEGORIZED,
+    ):
+        await self._top_up_credits(
+            user_id=user_id, amount=amount, top_up_type=top_up_type
+        )
+
+    async def onboarding_reward(self, user_id: str, credits: int, step: OnboardingStep):
+        try:
+            await self._add_transaction(
+                user_id=user_id,
+                amount=credits,
+                transaction_type=CreditTransactionType.GRANT,
+                transaction_key=f"REWARD-{user_id}-{step.value}",
+                metadata=SafeJson(
+                    {"reason": f"Reward for completing {step.value} onboarding step."}
+                ),
+            )
+        except UniqueViolationError:
+            # Already rewarded for this step
+            pass
+
+    async def top_up_refund(
+        self, user_id: str, transaction_key: str, metadata: dict[str, str]
+    ) -> int:
+        transaction = await CreditTransaction.prisma().find_first_or_raise(
+            where={
+                "transactionKey": transaction_key,
                 "userId": user_id,
-                "amount": -cost,
-                "type": CreditTransactionType.USAGE,
-                "blockId": block.id,
-                "metadata": Json(
-                    {
-                        "block": block.name,
-                        "input": matching_filter,
-                    }
+                "isActive": True,
+                "type": CreditTransactionType.TOP_UP,
+            }
+        )
+        balance = await self.get_credits(user_id)
+        amount = transaction.amount
+        refund_key_format = settings.config.refund_request_time_key_format
+        refund_key = f"{transaction.createdAt.strftime(refund_key_format)}-{user_id}"
+
+        try:
+            refund_request = await CreditRefundRequest.prisma().create(
+                data=CreditRefundRequestCreateInput(
+                    id=refund_key,
+                    transactionKey=transaction_key,
+                    userId=user_id,
+                    amount=amount,
+                    reason=metadata.get("reason", ""),
+                    status=CreditRefundRequestStatus.PENDING,
+                    result="The refund request is under review.",
+                )
+            )
+        except UniqueViolationError:
+            raise ValueError(
+                "Unable to request a refund for this transaction, the request of the top-up transaction within the same week has already been made."
+            )
+
+        if amount - balance > settings.config.refund_credit_tolerance_threshold:
+            user_data = await get_user_by_id(user_id)
+            await self._send_refund_notification(
+                RefundRequestData(
+                    user_id=user_id,
+                    user_name=user_data.name or "AutoGPT Platform User",
+                    user_email=user_data.email,
+                    transaction_id=transaction_key,
+                    refund_request_id=refund_request.id,
+                    reason=refund_request.reason,
+                    amount=amount,
+                    balance=balance,
                 ),
-                "createdAt": self.time_now(),
+                NotificationType.REFUND_REQUEST,
+            )
+            return 0  # Register the refund request for manual approval.
+
+        # Auto refund the top-up.
+        refund = stripe.Refund.create(payment_intent=transaction_key, metadata=metadata)
+        return refund.amount
+
+    async def deduct_credits(self, request: stripe.Refund | stripe.Dispute):
+        if isinstance(request, stripe.Refund) and request.status != "succeeded":
+            logger.warning(
+                f"Skip processing refund #{request.id} with status {request.status}"
+            )
+            return
+
+        if isinstance(request, stripe.Dispute) and request.status != "lost":
+            logger.warning(
+                f"Skip processing dispute #{request.id} with status {request.status}"
+            )
+            return
+
+        transaction = await CreditTransaction.prisma().find_first_or_raise(
+            where={
+                "transactionKey": str(request.payment_intent),
+                "isActive": True,
+                "type": CreditTransactionType.TOP_UP,
             }
         )
-        return cost
+        if request.amount <= 0 or request.amount > transaction.amount:
+            raise AssertionError(
+                f"Invalid amount to deduct ${request.amount/100} from ${transaction.amount/100} top-up"
+            )
 
-    async def top_up_credits(self, user_id: str, amount: int):
-        await CreditTransaction.prisma().create(
+        balance, _ = await self._add_transaction(
+            user_id=transaction.userId,
+            amount=-request.amount,
+            transaction_type=CreditTransactionType.REFUND,
+            transaction_key=request.id,
+            metadata=SafeJson(request),
+            fail_insufficient_credits=False,
+        )
+
+        # Update the result of the refund request if it exists.
+        await CreditRefundRequest.prisma().update_many(
+            where={
+                "userId": transaction.userId,
+                "transactionKey": transaction.transactionKey,
+            },
             data={
-                "userId": user_id,
-                "amount": amount,
+                "amount": request.amount,
+                "status": CreditRefundRequestStatus.APPROVED,
+                "result": "The refund request has been approved, the amount will be credited back to your account.",
+            },
+        )
+
+        user_data = await get_user_by_id(transaction.userId)
+        await self._send_refund_notification(
+            RefundRequestData(
+                user_id=user_data.id,
+                user_name=user_data.name or "AutoGPT Platform User",
+                user_email=user_data.email,
+                transaction_id=transaction.transactionKey,
+                refund_request_id=request.id,
+                reason=str(request.reason or "-"),
+                amount=transaction.amount,
+                balance=balance,
+            ),
+            NotificationType.REFUND_PROCESSED,
+        )
+
+    async def handle_dispute(self, dispute: stripe.Dispute):
+        transaction = await CreditTransaction.prisma().find_first_or_raise(
+            where={
+                "transactionKey": str(dispute.payment_intent),
+                "isActive": True,
                 "type": CreditTransactionType.TOP_UP,
-                "createdAt": self.time_now(),
             }
         )
+        user_id = transaction.userId
+        amount = dispute.amount
+        balance = await self.get_credits(user_id)
+
+        # If the user has enough balance, just let them win the dispute.
+        if balance - amount >= settings.config.refund_credit_tolerance_threshold:
+            logger.warning(f"Accepting dispute from {user_id} for ${amount/100}")
+            dispute.close()
+            return
+
+        logger.warning(
+            f"Adding extra info for dispute from {user_id} for ${amount/100}"
+        )
+        # Retrieve recent transaction history to support our evidence.
+        # This provides a concise timeline that shows service usage and proper credit application.
+        transaction_history = await self.get_transaction_history(
+            user_id, transaction_count_limit=None
+        )
+        user = await get_user_by_id(user_id)
+
+        # Build a comprehensive explanation message that includes:
+        # - Confirmation that the top-up transaction was processed and credits were applied.
+        # - A summary of recent transaction history.
+        # - An explanation that the funds were used to render the agreed service.
+        evidence_text = (
+            f"The top-up transaction of ${transaction.amount / 100:.2f} was processed successfully, and the corresponding credits "
+            "were applied to the user’s account. Our records confirm that the funds were utilized for the intended services. "
+            "Below is a summary of recent transaction activity:\n"
+        )
+        for tx in transaction_history.transactions:
+            if tx.transaction_key == transaction.transactionKey:
+                additional_comment = (
+                    " [This top-up transaction is the subject of the dispute]."
+                )
+            else:
+                additional_comment = ""
+
+            evidence_text += (
+                f"- {tx.description}: Amount ${tx.amount / 100:.2f} on {tx.transaction_time.isoformat()}, "
+                f"resulting balance ${tx.running_balance / 100:.2f} {additional_comment}\n"
+            )
+        evidence_text += (
+            "\nThis evidence demonstrates that the transaction was authorized and that the charged amount was used to render the service as agreed."
+            "\nAdditionally, we provide an automated refund functionality, so the user could have used it if they were not satisfied with the service. "
+        )
+        evidence: stripe.Dispute.ModifyParamsEvidence = {
+            "product_description": "AutoGPT Platform Credits",
+            "customer_email_address": user.email,
+            "uncategorized_text": evidence_text[:20000],
+        }
+        stripe.Dispute.modify(dispute.id, evidence=evidence)
+
+    async def _top_up_credits(
+        self,
+        user_id: str,
+        amount: int,
+        key: str | None = None,
+        ceiling_balance: int | None = None,
+        top_up_type: TopUpType = TopUpType.UNCATEGORIZED,
+        metadata: dict | None = None,
+    ):
+        # init metadata, without sharing it with the world
+        metadata = metadata or {}
+        if not metadata["reason"]:
+            match top_up_type:
+                case TopUpType.MANUAL:
+                    metadata["reason"] = {"reason": f"Top up credits for {user_id}"}
+                case TopUpType.AUTO:
+                    metadata["reason"] = {
+                        "reason": f"Auto top up credits for {user_id}"
+                    }
+                case _:
+                    metadata["reason"] = {
+                        "reason": f"Top up reason unknown for {user_id}"
+                    }
+
+        if amount < 0:
+            raise ValueError(f"Top up amount must not be negative: {amount}")
+
+        if key is not None and (
+            await CreditTransaction.prisma().find_first(
+                where={"transactionKey": key, "userId": user_id}
+            )
+        ):
+            raise ValueError(f"Transaction key {key} already exists for user {user_id}")
+
+        if amount == 0:
+            transaction_type = CreditTransactionType.CARD_CHECK
+        else:
+            transaction_type = CreditTransactionType.TOP_UP
+
+        _, transaction_key = await self._add_transaction(
+            user_id=user_id,
+            amount=amount,
+            transaction_type=transaction_type,
+            is_active=False,
+            transaction_key=key,
+            ceiling_balance=ceiling_balance,
+            metadata=(SafeJson(metadata)),
+        )
+
+        customer_id = await get_stripe_customer_id(user_id)
+
+        payment_methods = stripe.PaymentMethod.list(customer=customer_id, type="card")
+        if not payment_methods:
+            raise ValueError("No payment method found, please add it on the platform.")
+
+        successful_transaction = None
+        new_transaction_key = None
+        for payment_method in payment_methods:
+            if transaction_type == CreditTransactionType.CARD_CHECK:
+                setup_intent = stripe.SetupIntent.create(
+                    customer=customer_id,
+                    usage="off_session",
+                    confirm=True,
+                    payment_method=payment_method.id,
+                    automatic_payment_methods={
+                        "enabled": True,
+                        "allow_redirects": "never",
+                    },
+                )
+                if setup_intent.status == "succeeded":
+                    successful_transaction = SafeJson({"setup_intent": setup_intent})
+                    new_transaction_key = setup_intent.id
+                    break
+            else:
+                payment_intent = stripe.PaymentIntent.create(
+                    amount=amount,
+                    currency="usd",
+                    description="AutoGPT Platform Credits",
+                    customer=customer_id,
+                    off_session=True,
+                    confirm=True,
+                    payment_method=payment_method.id,
+                    automatic_payment_methods={
+                        "enabled": True,
+                        "allow_redirects": "never",
+                    },
+                )
+                if payment_intent.status == "succeeded":
+                    successful_transaction = SafeJson(
+                        {"payment_intent": payment_intent}
+                    )
+                    new_transaction_key = payment_intent.id
+                    break
+
+        if not successful_transaction:
+            raise ValueError(
+                f"Out of {len(payment_methods)} payment methods tried, none is supported"
+            )
+
+        await self._enable_transaction(
+            transaction_key=transaction_key,
+            new_transaction_key=new_transaction_key,
+            user_id=user_id,
+            metadata=successful_transaction,
+        )
+
+    async def top_up_intent(self, user_id: str, amount: int) -> str:
+        if amount < 500 or amount % 100 != 0:
+            raise ValueError(
+                f"Top up amount must be at least 500 credits and multiple of 100 but is {amount}"
+            )
+
+        # Create checkout session
+        # https://docs.stripe.com/checkout/quickstart?client=react
+        # unit_amount param is always in the smallest currency unit (so cents for usd)
+        # which is equal to amount of credits
+        checkout_session = stripe.checkout.Session.create(
+            customer=await get_stripe_customer_id(user_id),
+            line_items=[
+                {
+                    "price_data": {
+                        "currency": "usd",
+                        "product_data": {
+                            "name": "AutoGPT Platform Credits",
+                        },
+                        "unit_amount": amount,
+                    },
+                    "quantity": 1,
+                }
+            ],
+            mode="payment",
+            ui_mode="hosted",
+            payment_intent_data={"setup_future_usage": "off_session"},
+            saved_payment_method_options={"payment_method_save": "enabled"},
+            success_url=base_url + "/profile/credits?topup=success",
+            cancel_url=base_url + "/profile/credits?topup=cancel",
+            allow_promotion_codes=True,
+        )
+
+        await self._add_transaction(
+            user_id=user_id,
+            amount=amount,
+            transaction_type=CreditTransactionType.TOP_UP,
+            transaction_key=checkout_session.id,
+            is_active=False,
+            metadata=SafeJson(checkout_session),
+        )
+
+        return checkout_session.url or ""
+
+    # https://docs.stripe.com/checkout/fulfillment
+    async def fulfill_checkout(
+        self, *, session_id: str | None = None, user_id: str | None = None
+    ):
+        if (not session_id and not user_id) or (session_id and user_id):
+            raise ValueError("Either session_id or user_id must be provided")
+
+        # Retrieve CreditTransaction
+        find_filter: CreditTransactionWhereInput = {
+            "type": CreditTransactionType.TOP_UP,
+            "isActive": False,
+            "amount": {"gt": 0},
+        }
+        if session_id:
+            find_filter["transactionKey"] = session_id
+        if user_id:
+            find_filter["userId"] = user_id
+
+        # Find the most recent inactive top-up transaction
+        credit_transaction = await CreditTransaction.prisma().find_first(
+            where=find_filter,
+            order={"createdAt": "desc"},
+        )
+
+        # This can be called multiple times for one id, so ignore if already fulfilled
+        if not credit_transaction:
+            return
+
+        # If the transaction is not a checkout session, then skip the fulfillment
+        if not credit_transaction.transactionKey.startswith("cs_"):
+            return
+
+        # Retrieve the Checkout Session from the API
+        checkout_session = stripe.checkout.Session.retrieve(
+            credit_transaction.transactionKey,
+            expand=["payment_intent"],
+        )
+
+        # Check the Checkout Session's payment_status property
+        # to determine if fulfillment should be performed
+        if checkout_session.payment_status in ["paid", "no_payment_required"]:
+            if payment_intent := checkout_session.payment_intent:
+                assert isinstance(payment_intent, stripe.PaymentIntent)
+                new_transaction_key = payment_intent.id
+            else:
+                new_transaction_key = None
+
+            await self._enable_transaction(
+                transaction_key=credit_transaction.transactionKey,
+                new_transaction_key=new_transaction_key,
+                user_id=credit_transaction.userId,
+                metadata=SafeJson(checkout_session),
+            )
+
+    async def get_credits(self, user_id: str) -> int:
+        balance, _ = await self._get_credits(user_id)
+        return balance
+
+    async def get_transaction_history(
+        self,
+        user_id: str,
+        transaction_count_limit: int | None = 100,
+        transaction_time_ceiling: datetime | None = None,
+        transaction_type: str | None = None,
+    ) -> TransactionHistory:
+        transactions_filter: CreditTransactionWhereInput = {
+            "userId": user_id,
+            "isActive": True,
+        }
+        if transaction_time_ceiling:
+            transaction_time_ceiling = transaction_time_ceiling.replace(
+                tzinfo=timezone.utc
+            )
+            transactions_filter["createdAt"] = {"lt": transaction_time_ceiling}
+        if transaction_type:
+            transactions_filter["type"] = CreditTransactionType[transaction_type]
+        transactions = await CreditTransaction.prisma().find_many(
+            where=transactions_filter,
+            order={"createdAt": "desc"},
+            take=transaction_count_limit,
+        )
+
+        # doesn't fill current_balance, reason, user_email, admin_email, or extra_data
+        grouped_transactions: dict[str, UserTransaction] = defaultdict(
+            lambda: UserTransaction(user_id=user_id)
+        )
+        tx_time = None
+        for t in transactions:
+            metadata = (
+                UsageTransactionMetadata.model_validate(t.metadata)
+                if t.metadata
+                else UsageTransactionMetadata()
+            )
+            tx_time = t.createdAt.replace(tzinfo=timezone.utc)
+
+            if t.type == CreditTransactionType.USAGE and metadata.graph_exec_id:
+                gt = grouped_transactions[metadata.graph_exec_id]
+                gid = metadata.graph_id[:8] if metadata.graph_id else "UNKNOWN"
+                gt.description = f"Graph #{gid} Execution"
+
+                gt.usage_node_count += 1
+                gt.usage_start_time = min(gt.usage_start_time, tx_time)
+                gt.usage_execution_id = metadata.graph_exec_id
+                gt.usage_graph_id = metadata.graph_id
+            else:
+                gt = grouped_transactions[t.transactionKey]
+                gt.description = f"{t.type} Transaction"
+                gt.transaction_key = t.transactionKey
+
+            gt.amount += t.amount
+            gt.transaction_type = t.type
+
+            if tx_time > gt.transaction_time:
+                gt.transaction_time = tx_time
+                gt.running_balance = t.runningBalance or 0
+
+        return TransactionHistory(
+            transactions=list(grouped_transactions.values()),
+            next_transaction_time=(
+                tx_time if len(transactions) == transaction_count_limit else None
+            ),
+        )
+
+    async def get_refund_requests(self, user_id: str) -> list[RefundRequest]:
+        return [
+            RefundRequest(
+                id=r.id,
+                user_id=r.userId,
+                transaction_key=r.transactionKey,
+                amount=r.amount,
+                reason=r.reason,
+                result=r.result,
+                status=r.status,
+                created_at=r.createdAt,
+                updated_at=r.updatedAt,
+            )
+            for r in await CreditRefundRequest.prisma().find_many(
+                where={"userId": user_id},
+                order={"createdAt": "desc"},
+            )
+        ]
+
+
+class BetaUserCredit(UserCredit):
+    """
+    This is a temporary class to handle the test user utilizing monthly credit refill.
+    TODO: Remove this class & its feature toggle.
+    """
+
+    def __init__(self, num_user_credits_refill: int):
+        self.num_user_credits_refill = num_user_credits_refill
+
+    async def get_credits(self, user_id: str) -> int:
+        cur_time = self.time_now().date()
+        balance, snapshot_time = await self._get_credits(user_id)
+        if (snapshot_time.year, snapshot_time.month) == (cur_time.year, cur_time.month):
+            return balance
+
+        try:
+            balance, _ = await self._add_transaction(
+                user_id=user_id,
+                amount=max(self.num_user_credits_refill - balance, 0),
+                transaction_type=CreditTransactionType.GRANT,
+                transaction_key=f"MONTHLY-CREDIT-TOP-UP-{cur_time}",
+                metadata=SafeJson({"reason": "Monthly credit refill"}),
+            )
+            return balance
+        except UniqueViolationError:
+            # Already refilled this month
+            return (await self._get_credits(user_id))[0]
 
 
 class DisabledUserCredit(UserCreditBase):
-    async def get_or_refill_credit(self, *args, **kwargs) -> int:
-        return 0
+    async def get_credits(self, *args, **kwargs) -> int:
+        return 100
+
+    async def get_transaction_history(self, *args, **kwargs) -> TransactionHistory:
+        return TransactionHistory(transactions=[], next_transaction_time=None)
+
+    async def get_refund_requests(self, *args, **kwargs) -> list[RefundRequest]:
+        return []
 
     async def spend_credits(self, *args, **kwargs) -> int:
         return 0
@@ -222,13 +968,145 @@ async def spend_credits(self, *args, **kwargs) -> int:
     async def top_up_credits(self, *args, **kwargs):
         pass
 
+    async def onboarding_reward(self, *args, **kwargs):
+        pass
+
+    async def top_up_intent(self, *args, **kwargs) -> str:
+        return ""
+
+    async def top_up_refund(self, *args, **kwargs) -> int:
+        return 0
+
+    async def deduct_credits(self, *args, **kwargs):
+        pass
+
+    async def handle_dispute(self, *args, **kwargs):
+        pass
+
+    async def fulfill_checkout(self, *args, **kwargs):
+        pass
+
 
 def get_user_credit_model() -> UserCreditBase:
-    if config.enable_credit.lower() == "true":
-        return UserCredit(config.num_user_credits_refill)
-    else:
-        return DisabledUserCredit(0)
+    if not settings.config.enable_credit:
+        return DisabledUserCredit()
+
+    if settings.config.enable_beta_monthly_credit:
+        return BetaUserCredit(settings.config.num_user_credits_refill)
+
+    return UserCredit()
 
 
 def get_block_costs() -> dict[str, list[BlockCost]]:
     return {block().id: costs for block, costs in BLOCK_COSTS.items()}
+
+
+async def get_stripe_customer_id(user_id: str) -> str:
+    user = await get_user_by_id(user_id)
+
+    if user.stripe_customer_id:
+        return user.stripe_customer_id
+
+    customer = stripe.Customer.create(
+        name=user.name or "",
+        email=user.email,
+        metadata={"user_id": user_id},
+    )
+    await User.prisma().update(
+        where={"id": user_id}, data={"stripeCustomerId": customer.id}
+    )
+    return customer.id
+
+
+async def set_auto_top_up(user_id: str, config: AutoTopUpConfig):
+    await User.prisma().update(
+        where={"id": user_id},
+        data={"topUpConfig": SafeJson(config.model_dump())},
+    )
+
+
+async def get_auto_top_up(user_id: str) -> AutoTopUpConfig:
+    user = await get_user_by_id(user_id)
+
+    if not user.top_up_config:
+        return AutoTopUpConfig(threshold=0, amount=0)
+
+    return AutoTopUpConfig.model_validate(user.top_up_config)
+
+
+async def admin_get_user_history(
+    page: int = 1,
+    page_size: int = 20,
+    search: str | None = None,
+    transaction_filter: CreditTransactionType | None = None,
+) -> UserHistoryResponse:
+
+    if page < 1 or page_size < 1:
+        raise ValueError("Invalid pagination input")
+
+    where_clause: CreditTransactionWhereInput = {}
+    if transaction_filter:
+        where_clause["type"] = transaction_filter
+    if search:
+        where_clause["OR"] = [
+            {"userId": {"contains": search, "mode": "insensitive"}},
+            {"User": {"is": {"email": {"contains": search, "mode": "insensitive"}}}},
+            {"User": {"is": {"name": {"contains": search, "mode": "insensitive"}}}},
+        ]
+    transactions = await CreditTransaction.prisma().find_many(
+        where=where_clause,
+        skip=(page - 1) * page_size,
+        take=page_size,
+        include={"User": True},
+        order={"createdAt": "desc"},
+    )
+    total = await CreditTransaction.prisma().count(where=where_clause)
+    total_pages = (total + page_size - 1) // page_size
+
+    history = []
+    for tx in transactions:
+        admin_id = ""
+        admin_email = ""
+        reason = ""
+
+        metadata: dict = cast(dict, tx.metadata) or {}
+
+        if metadata:
+            admin_id = metadata.get("admin_id")
+            admin_email = (
+                (await get_user_email_by_id(admin_id) or f"Unknown Admin: {admin_id}")
+                if admin_id
+                else ""
+            )
+            reason = metadata.get("reason", "No reason provided")
+
+        balance, last_update = await get_user_credit_model()._get_credits(tx.userId)
+
+        history.append(
+            UserTransaction(
+                transaction_key=tx.transactionKey,
+                transaction_time=tx.createdAt,
+                transaction_type=tx.type,
+                amount=tx.amount,
+                current_balance=balance,
+                running_balance=tx.runningBalance or 0,
+                user_id=tx.userId,
+                user_email=(
+                    tx.User.email
+                    if tx.User
+                    else (await get_user_by_id(tx.userId)).email
+                ),
+                reason=reason,
+                admin_email=admin_email,
+                extra_data=str(metadata),
+            )
+        )
+    return UserHistoryResponse(
+        history=history,
+        pagination=Pagination(
+            total_items=total,
+            total_pages=total_pages,
+            current_page=page,
+            page_size=page_size,
+        ),
+    )
diff --git a/autogpt_platform/backend/backend/data/credit_test.py b/autogpt_platform/backend/backend/data/credit_test.py
new file mode 100644
index 000000000000..704939c74556
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/credit_test.py
@@ -0,0 +1,143 @@
+from datetime import datetime, timezone
+
+import pytest
+from prisma.enums import CreditTransactionType
+from prisma.models import CreditTransaction
+
+from backend.blocks.llm import AITextGeneratorBlock
+from backend.data.block import get_block
+from backend.data.credit import BetaUserCredit, UsageTransactionMetadata
+from backend.data.execution import NodeExecutionEntry, UserContext
+from backend.data.user import DEFAULT_USER_ID
+from backend.executor.utils import block_usage_cost
+from backend.integrations.credentials_store import openai_credentials
+from backend.util.test import SpinTestServer
+
+REFILL_VALUE = 1000
+user_credit = BetaUserCredit(REFILL_VALUE)
+
+
+async def disable_test_user_transactions():
+    await CreditTransaction.prisma().delete_many(where={"userId": DEFAULT_USER_ID})
+
+
+async def top_up(amount: int):
+    await user_credit._add_transaction(
+        DEFAULT_USER_ID,
+        amount,
+        CreditTransactionType.TOP_UP,
+    )
+
+
+async def spend_credits(entry: NodeExecutionEntry) -> int:
+    block = get_block(entry.block_id)
+    if not block:
+        raise RuntimeError(f"Block {entry.block_id} not found")
+
+    cost, matching_filter = block_usage_cost(block=block, input_data=entry.inputs)
+    await user_credit.spend_credits(
+        entry.user_id,
+        cost,
+        UsageTransactionMetadata(
+            graph_exec_id=entry.graph_exec_id,
+            graph_id=entry.graph_id,
+            node_id=entry.node_id,
+            node_exec_id=entry.node_exec_id,
+            block_id=entry.block_id,
+            block=entry.block_id,
+            input=matching_filter,
+            reason=f"Ran block {entry.block_id} {block.name}",
+        ),
+    )
+
+    return cost
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_block_credit_usage(server: SpinTestServer):
+    await disable_test_user_transactions()
+    await top_up(100)
+    current_credit = await user_credit.get_credits(DEFAULT_USER_ID)
+
+    spending_amount_1 = await spend_credits(
+        NodeExecutionEntry(
+            user_id=DEFAULT_USER_ID,
+            graph_id="test_graph",
+            node_id="test_node",
+            graph_exec_id="test_graph_exec",
+            node_exec_id="test_node_exec",
+            block_id=AITextGeneratorBlock().id,
+            inputs={
+                "model": "gpt-4-turbo",
+                "credentials": {
+                    "id": openai_credentials.id,
+                    "provider": openai_credentials.provider,
+                    "type": openai_credentials.type,
+                },
+            },
+            user_context=UserContext(timezone="UTC"),
+        ),
+    )
+    assert spending_amount_1 > 0
+
+    spending_amount_2 = await spend_credits(
+        NodeExecutionEntry(
+            user_id=DEFAULT_USER_ID,
+            graph_id="test_graph",
+            node_id="test_node",
+            graph_exec_id="test_graph_exec",
+            node_exec_id="test_node_exec",
+            block_id=AITextGeneratorBlock().id,
+            inputs={"model": "gpt-4-turbo", "api_key": "owned_api_key"},
+            user_context=UserContext(timezone="UTC"),
+        ),
+    )
+    assert spending_amount_2 == 0
+
+    new_credit = await user_credit.get_credits(DEFAULT_USER_ID)
+    assert new_credit == current_credit - spending_amount_1 - spending_amount_2
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_block_credit_top_up(server: SpinTestServer):
+    await disable_test_user_transactions()
+    current_credit = await user_credit.get_credits(DEFAULT_USER_ID)
+
+    await top_up(100)
+
+    new_credit = await user_credit.get_credits(DEFAULT_USER_ID)
+    assert new_credit == current_credit + 100
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_block_credit_reset(server: SpinTestServer):
+    await disable_test_user_transactions()
+    month1 = 1
+    month2 = 2
+
+    # set the calendar to month 2 but use current time from now
+    user_credit.time_now = lambda: datetime.now(timezone.utc).replace(
+        month=month2, day=1
+    )
+    month2credit = await user_credit.get_credits(DEFAULT_USER_ID)
+
+    # Month 1 result should only affect month 1
+    user_credit.time_now = lambda: datetime.now(timezone.utc).replace(
+        month=month1, day=1
+    )
+    month1credit = await user_credit.get_credits(DEFAULT_USER_ID)
+    await top_up(100)
+    assert await user_credit.get_credits(DEFAULT_USER_ID) == month1credit + 100
+
+    # Month 2 balance is unaffected
+    user_credit.time_now = lambda: datetime.now(timezone.utc).replace(
+        month=month2, day=1
+    )
+    assert await user_credit.get_credits(DEFAULT_USER_ID) == month2credit
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_credit_refill(server: SpinTestServer):
+    await disable_test_user_transactions()
+    balance = await user_credit.get_credits(DEFAULT_USER_ID)
+    assert balance == REFILL_VALUE
diff --git a/autogpt_platform/backend/backend/data/db.py b/autogpt_platform/backend/backend/data/db.py
index d18942ccfa27..9ac734fa71a5 100644
--- a/autogpt_platform/backend/backend/data/db.py
+++ b/autogpt_platform/backend/backend/data/db.py
@@ -1,6 +1,7 @@
 import logging
 import os
 from contextlib import asynccontextmanager
+from urllib.parse import parse_qsl, urlencode, urlparse, urlunparse
 from uuid import uuid4
 
 from dotenv import load_dotenv
@@ -14,11 +15,44 @@
 PRISMA_SCHEMA = os.getenv("PRISMA_SCHEMA", "schema.prisma")
 os.environ["PRISMA_SCHEMA_PATH"] = PRISMA_SCHEMA
 
-prisma = Prisma(auto_register=True)
+
+def add_param(url: str, key: str, value: str) -> str:
+    p = urlparse(url)
+    qs = dict(parse_qsl(p.query))
+    qs[key] = value
+    return urlunparse(p._replace(query=urlencode(qs)))
+
+
+DATABASE_URL = os.getenv("DATABASE_URL", "postgresql://localhost:5432")
+
+CONN_LIMIT = os.getenv("DB_CONNECTION_LIMIT")
+if CONN_LIMIT:
+    DATABASE_URL = add_param(DATABASE_URL, "connection_limit", CONN_LIMIT)
+
+CONN_TIMEOUT = os.getenv("DB_CONNECT_TIMEOUT")
+if CONN_TIMEOUT:
+    DATABASE_URL = add_param(DATABASE_URL, "connect_timeout", CONN_TIMEOUT)
+
+POOL_TIMEOUT = os.getenv("DB_POOL_TIMEOUT")
+if POOL_TIMEOUT:
+    DATABASE_URL = add_param(DATABASE_URL, "pool_timeout", POOL_TIMEOUT)
+
+HTTP_TIMEOUT = int(POOL_TIMEOUT) if POOL_TIMEOUT else None
+
+prisma = Prisma(
+    auto_register=True,
+    http={"timeout": HTTP_TIMEOUT},
+    datasource={"url": DATABASE_URL},
+)
+
 
 logger = logging.getLogger(__name__)
 
 
+def is_connected():
+    return prisma.is_connected()
+
+
 @conn_retry("Prisma", "Acquiring connection")
 async def connect():
     if prisma.is_connected():
@@ -31,10 +65,10 @@ async def connect():
 
     # Connection acquired from a pool like Supabase somehow still possibly allows
     # the db client obtains a connection but still reject query connection afterward.
-    try:
-        await prisma.execute_raw("SELECT 1")
-    except Exception as e:
-        raise ConnectionError("Failed to connect to Prisma.") from e
+    # try:
+    #     await prisma.execute_raw("SELECT 1")
+    # except Exception as e:
+    #     raise ConnectionError("Failed to connect to Prisma.") from e
 
 
 @conn_retry("Prisma", "Releasing connection")
@@ -48,12 +82,80 @@ async def disconnect():
         raise ConnectionError("Failed to disconnect from Prisma.")
 
 
+# Transaction timeout constant (in milliseconds)
+TRANSACTION_TIMEOUT = 15000  # 15 seconds - Increased from 5s to prevent timeout errors
+
+
 @asynccontextmanager
-async def transaction():
-    async with prisma.tx() as tx:
+async def transaction(timeout: int = TRANSACTION_TIMEOUT):
+    """
+    Create a database transaction with optional timeout.
+
+    Args:
+        timeout: Transaction timeout in milliseconds. If None, uses TRANSACTION_TIMEOUT (15s).
+    """
+    async with prisma.tx(timeout=timeout) as tx:
         yield tx
 
 
+@asynccontextmanager
+async def locked_transaction(key: str, timeout: int = TRANSACTION_TIMEOUT):
+    """
+    Create a transaction and take a per-key advisory *transaction* lock.
+
+    - Uses a 64-bit lock id via hashtextextended(key, 0) to avoid 32-bit collisions.
+    - Bound by lock_timeout and statement_timeout so it won't block indefinitely.
+    - Lock is held for the duration of the transaction and auto-released on commit/rollback.
+
+    Args:
+        key: String lock key (e.g., "usr_trx_<uuid>").
+        timeout: Transaction/lock/statement timeout in milliseconds.
+    """
+    async with transaction(timeout=timeout) as tx:
+        # Ensure we don't wait longer than desired
+        # Note: SET LOCAL doesn't support parameterized queries, must use string interpolation
+        await tx.execute_raw(f"SET LOCAL statement_timeout = '{int(timeout)}ms'")  # type: ignore[arg-type]
+        await tx.execute_raw(f"SET LOCAL lock_timeout = '{int(timeout)}ms'")  # type: ignore[arg-type]
+
+        # Block until acquired or lock_timeout hits
+        try:
+            await tx.execute_raw(
+                "SELECT pg_advisory_xact_lock(hashtextextended($1, 0))",
+                key,
+            )
+        except Exception as e:
+            # Normalize PG's lock timeout error to TimeoutError for callers
+            if "lock timeout" in str(e).lower():
+                raise TimeoutError(
+                    f"Could not acquire lock for key={key!r} within {timeout}ms"
+                ) from e
+            raise
+
+        yield tx
+
+
+def get_database_schema() -> str:
+    """Extract database schema from DATABASE_URL."""
+    parsed_url = urlparse(DATABASE_URL)
+    query_params = dict(parse_qsl(parsed_url.query))
+    return query_params.get("schema", "public")
+
+
+async def query_raw_with_schema(query_template: str, *args) -> list[dict]:
+    """Execute raw SQL query with proper schema handling."""
+    schema = get_database_schema()
+    schema_prefix = f"{schema}." if schema != "public" else ""
+    formatted_query = query_template.format(schema_prefix=schema_prefix)
+
+    import prisma as prisma_module
+
+    result = await prisma_module.get_client().query_raw(
+        formatted_query, *args  # type: ignore
+    )
+
+    return result
+
+
 class BaseDbModel(BaseModel):
     id: str = Field(default_factory=lambda: str(uuid4()))
 
diff --git a/autogpt_platform/backend/backend/data/event_bus.py b/autogpt_platform/backend/backend/data/event_bus.py
new file mode 100644
index 000000000000..48f9df87fae6
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/event_bus.py
@@ -0,0 +1,158 @@
+import asyncio
+import logging
+from abc import ABC, abstractmethod
+from typing import Any, AsyncGenerator, Generator, Generic, Optional, TypeVar
+
+from pydantic import BaseModel
+from redis.asyncio.client import PubSub as AsyncPubSub
+from redis.client import PubSub
+
+from backend.data import redis_client as redis
+from backend.util import json
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+config = Settings().config
+
+
+M = TypeVar("M", bound=BaseModel)
+
+
+class BaseRedisEventBus(Generic[M], ABC):
+    Model: type[M]
+
+    @property
+    @abstractmethod
+    def event_bus_name(self) -> str:
+        pass
+
+    @property
+    def Message(self) -> type["_EventPayloadWrapper[M]"]:
+        return _EventPayloadWrapper[self.Model]
+
+    def _serialize_message(self, item: M, channel_key: str) -> tuple[str, str]:
+        MAX_MESSAGE_SIZE = config.max_message_size_limit
+
+        try:
+            # Use backend.util.json.dumps which handles datetime and other complex types
+            message = json.dumps(
+                self.Message(payload=item), ensure_ascii=False, separators=(",", ":")
+            )
+        except UnicodeError:
+            # Fallback to ASCII encoding if Unicode causes issues
+            message = json.dumps(
+                self.Message(payload=item), ensure_ascii=True, separators=(",", ":")
+            )
+            logger.warning(
+                f"Unicode serialization failed, falling back to ASCII for channel {channel_key}"
+            )
+
+        # Check message size and truncate if necessary
+        message_size = len(message.encode("utf-8"))
+        if message_size > MAX_MESSAGE_SIZE:
+            logger.warning(
+                f"Message size {message_size} bytes exceeds limit {MAX_MESSAGE_SIZE} bytes for channel {channel_key}. "
+                "Truncating payload to prevent Redis connection issues."
+            )
+            error_payload = {
+                "payload": {
+                    "event_type": "error_comms_update",
+                    "error": "Payload too large for Redis transmission",
+                    "original_size_bytes": message_size,
+                    "max_size_bytes": MAX_MESSAGE_SIZE,
+                }
+            }
+            message = json.dumps(
+                error_payload, ensure_ascii=False, separators=(",", ":")
+            )
+
+        channel_name = f"{self.event_bus_name}/{channel_key}"
+        logger.debug(f"[{channel_name}] Publishing an event to Redis {message}")
+        return message, channel_name
+
+    def _deserialize_message(self, msg: Any, channel_key: str) -> M | None:
+        message_type = "pmessage" if "*" in channel_key else "message"
+        if msg["type"] != message_type:
+            return None
+        try:
+            logger.debug(f"[{channel_key}] Consuming an event from Redis {msg['data']}")
+            return self.Message.model_validate_json(msg["data"]).payload
+        except Exception as e:
+            logger.error(f"Failed to parse event result from Redis {msg} {e}")
+
+    def _get_pubsub_channel(
+        self, connection: redis.Redis | redis.AsyncRedis, channel_key: str
+    ) -> tuple[PubSub | AsyncPubSub, str]:
+        full_channel_name = f"{self.event_bus_name}/{channel_key}"
+        pubsub = connection.pubsub()
+        return pubsub, full_channel_name
+
+
+class _EventPayloadWrapper(BaseModel, Generic[M]):
+    """
+    Wrapper model to allow `RedisEventBus.Model` to be a discriminated union
+    of multiple event types.
+    """
+
+    payload: M
+
+
+class RedisEventBus(BaseRedisEventBus[M], ABC):
+    @property
+    def connection(self) -> redis.Redis:
+        return redis.get_redis()
+
+    def publish_event(self, event: M, channel_key: str):
+        message, full_channel_name = self._serialize_message(event, channel_key)
+        self.connection.publish(full_channel_name, message)
+
+    def listen_events(self, channel_key: str) -> Generator[M, None, None]:
+        pubsub, full_channel_name = self._get_pubsub_channel(
+            self.connection, channel_key
+        )
+        assert isinstance(pubsub, PubSub)
+
+        if "*" in channel_key:
+            pubsub.psubscribe(full_channel_name)
+        else:
+            pubsub.subscribe(full_channel_name)
+
+        for message in pubsub.listen():
+            if event := self._deserialize_message(message, channel_key):
+                yield event
+
+
+class AsyncRedisEventBus(BaseRedisEventBus[M], ABC):
+    @property
+    async def connection(self) -> redis.AsyncRedis:
+        return await redis.get_redis_async()
+
+    async def publish_event(self, event: M, channel_key: str):
+        message, full_channel_name = self._serialize_message(event, channel_key)
+        connection = await self.connection
+        await connection.publish(full_channel_name, message)
+
+    async def listen_events(self, channel_key: str) -> AsyncGenerator[M, None]:
+        pubsub, full_channel_name = self._get_pubsub_channel(
+            await self.connection, channel_key
+        )
+        assert isinstance(pubsub, AsyncPubSub)
+
+        if "*" in channel_key:
+            await pubsub.psubscribe(full_channel_name)
+        else:
+            await pubsub.subscribe(full_channel_name)
+
+        async for message in pubsub.listen():
+            if event := self._deserialize_message(message, channel_key):
+                yield event
+
+    async def wait_for_event(
+        self, channel_key: str, timeout: Optional[float] = None
+    ) -> M | None:
+        try:
+            return await asyncio.wait_for(
+                anext(aiter(self.listen_events(channel_key))), timeout
+            )
+        except TimeoutError:
+            return None
diff --git a/autogpt_platform/backend/backend/data/execution.py b/autogpt_platform/backend/backend/data/execution.py
index 4775d94553df..2d9fc9c65b58 100644
--- a/autogpt_platform/backend/backend/data/execution.py
+++ b/autogpt_platform/backend/backend/data/execution.py
@@ -1,65 +1,310 @@
+import logging
 from collections import defaultdict
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
+from enum import Enum
 from multiprocessing import Manager
-from typing import Any, AsyncGenerator, Generator, Generic, TypeVar
+from queue import Empty
+from typing import (
+    Annotated,
+    Any,
+    AsyncGenerator,
+    Generator,
+    Generic,
+    Literal,
+    Optional,
+    TypeVar,
+    overload,
+)
 
 from prisma.enums import AgentExecutionStatus
 from prisma.models import (
     AgentGraphExecution,
     AgentNodeExecution,
     AgentNodeExecutionInputOutput,
+    AgentNodeExecutionKeyValueData,
 )
-from pydantic import BaseModel
-
-from backend.data.block import BlockData, BlockInput, CompletedBlockOutput
-from backend.data.includes import EXECUTION_RESULT_INCLUDE, GRAPH_EXECUTION_INCLUDE
-from backend.data.queue import AsyncRedisEventBus, RedisEventBus
-from backend.util import json, mock
+from prisma.types import (
+    AgentGraphExecutionCreateInput,
+    AgentGraphExecutionUpdateManyMutationInput,
+    AgentGraphExecutionWhereInput,
+    AgentNodeExecutionCreateInput,
+    AgentNodeExecutionInputOutputCreateInput,
+    AgentNodeExecutionKeyValueDataCreateInput,
+    AgentNodeExecutionUpdateInput,
+    AgentNodeExecutionWhereInput,
+)
+from pydantic import BaseModel, ConfigDict, JsonValue, ValidationError
+from pydantic.fields import Field
+
+from backend.server.v2.store.exceptions import DatabaseError
+from backend.util import type as type_utils
+from backend.util.json import SafeJson
+from backend.util.models import Pagination
+from backend.util.retry import func_retry
 from backend.util.settings import Config
+from backend.util.truncate import truncate
+
+from .block import (
+    BlockInput,
+    BlockType,
+    CompletedBlockOutput,
+    get_block,
+    get_io_block_ids,
+    get_webhook_block_ids,
+)
+from .db import BaseDbModel, query_raw_with_schema
+from .event_bus import AsyncRedisEventBus, RedisEventBus
+from .includes import (
+    EXECUTION_RESULT_INCLUDE,
+    EXECUTION_RESULT_ORDER,
+    GRAPH_EXECUTION_INCLUDE_WITH_NODES,
+    graph_execution_include,
+)
+from .model import GraphExecutionStats, NodeExecutionStats
 
+T = TypeVar("T")
 
-class GraphExecutionEntry(BaseModel):
-    user_id: str
-    graph_exec_id: str
-    graph_id: str
-    start_node_execs: list["NodeExecutionEntry"]
+logger = logging.getLogger(__name__)
+config = Config()
 
 
-class NodeExecutionEntry(BaseModel):
+# -------------------------- Models -------------------------- #
+
+
+class BlockErrorStats(BaseModel):
+    """Typed data structure for block error statistics."""
+
+    block_id: str
+    total_executions: int
+    failed_executions: int
+
+    @property
+    def error_rate(self) -> float:
+        """Calculate error rate as a percentage."""
+        if self.total_executions == 0:
+            return 0.0
+        return (self.failed_executions / self.total_executions) * 100
+
+
+ExecutionStatus = AgentExecutionStatus
+
+
+class GraphExecutionMeta(BaseDbModel):
+    id: str  # type: ignore # Override base class to make this required
     user_id: str
-    graph_exec_id: str
     graph_id: str
-    node_exec_id: str
-    node_id: str
-    data: BlockInput
+    graph_version: int
+    preset_id: Optional[str] = None
+    status: ExecutionStatus
+    started_at: datetime
+    ended_at: datetime
 
+    class Stats(BaseModel):
+        model_config = ConfigDict(
+            extra="allow",
+            arbitrary_types_allowed=True,
+        )
 
-ExecutionStatus = AgentExecutionStatus
+        cost: int = Field(
+            default=0,
+            description="Execution cost (cents)",
+        )
+        duration: float = Field(
+            default=0,
+            description="Seconds from start to end of run",
+        )
+        duration_cpu_only: float = Field(
+            default=0,
+            description="CPU sec of duration",
+        )
+        node_exec_time: float = Field(
+            default=0,
+            description="Seconds of total node runtime",
+        )
+        node_exec_time_cpu_only: float = Field(
+            default=0,
+            description="CPU sec of node_exec_time",
+        )
+        node_exec_count: int = Field(
+            default=0,
+            description="Number of node executions",
+        )
+        node_error_count: int = Field(
+            default=0,
+            description="Number of node errors",
+        )
+        error: str | None = Field(
+            default=None,
+            description="Error message if any",
+        )
+        activity_status: str | None = Field(
+            default=None,
+            description="AI-generated summary of what the agent did",
+        )
 
-T = TypeVar("T")
+        def to_db(self) -> GraphExecutionStats:
+            return GraphExecutionStats(
+                cost=self.cost,
+                walltime=self.duration,
+                cputime=self.duration_cpu_only,
+                nodes_walltime=self.node_exec_time,
+                nodes_cputime=self.node_exec_time_cpu_only,
+                node_count=self.node_exec_count,
+                node_error_count=self.node_error_count,
+                error=self.error,
+                activity_status=self.activity_status,
+            )
+
+    stats: Stats | None
 
+    @staticmethod
+    def from_db(_graph_exec: AgentGraphExecution):
+        now = datetime.now(timezone.utc)
+        # TODO: make started_at and ended_at optional
+        start_time = _graph_exec.startedAt or _graph_exec.createdAt
+        end_time = _graph_exec.updatedAt or now
+
+        try:
+            stats = GraphExecutionStats.model_validate(_graph_exec.stats)
+        except ValueError as e:
+            if _graph_exec.stats is not None:
+                logger.warning(
+                    "Failed to parse invalid graph execution stats "
+                    f"{_graph_exec.stats}: {e}"
+                )
+            stats = None
+
+        return GraphExecutionMeta(
+            id=_graph_exec.id,
+            user_id=_graph_exec.userId,
+            graph_id=_graph_exec.agentGraphId,
+            graph_version=_graph_exec.agentGraphVersion,
+            preset_id=_graph_exec.agentPresetId,
+            status=ExecutionStatus(_graph_exec.executionStatus),
+            started_at=start_time,
+            ended_at=end_time,
+            stats=(
+                GraphExecutionMeta.Stats(
+                    cost=stats.cost,
+                    duration=stats.walltime,
+                    duration_cpu_only=stats.cputime,
+                    node_exec_time=stats.nodes_walltime,
+                    node_exec_time_cpu_only=stats.nodes_cputime,
+                    node_exec_count=stats.node_count,
+                    node_error_count=stats.node_error_count,
+                    error=(
+                        str(stats.error)
+                        if isinstance(stats.error, Exception)
+                        else stats.error
+                    ),
+                    activity_status=stats.activity_status,
+                )
+                if stats
+                else None
+            ),
+        )
 
-class ExecutionQueue(Generic[T]):
-    """
-    Queue for managing the execution of agents.
-    This will be shared between different processes
-    """
 
-    def __init__(self):
-        self.queue = Manager().Queue()
+class GraphExecution(GraphExecutionMeta):
+    inputs: BlockInput
+    outputs: CompletedBlockOutput
 
-    def add(self, execution: T) -> T:
-        self.queue.put(execution)
-        return execution
+    @staticmethod
+    def from_db(_graph_exec: AgentGraphExecution):
+        if _graph_exec.NodeExecutions is None:
+            raise ValueError("Node executions must be included in query")
+
+        graph_exec = GraphExecutionMeta.from_db(_graph_exec)
+
+        complete_node_executions = sorted(
+            [
+                NodeExecutionResult.from_db(ne, _graph_exec.userId)
+                for ne in _graph_exec.NodeExecutions
+                if ne.executionStatus != ExecutionStatus.INCOMPLETE
+            ],
+            key=lambda ne: (ne.queue_time is None, ne.queue_time or ne.add_time),
+        )
 
-    def get(self) -> T:
-        return self.queue.get()
+        inputs = {
+            **{
+                # inputs from Agent Input Blocks
+                exec.input_data["name"]: exec.input_data.get("value")
+                for exec in complete_node_executions
+                if (
+                    (block := get_block(exec.block_id))
+                    and block.block_type == BlockType.INPUT
+                )
+            },
+            **{
+                # input from webhook-triggered block
+                "payload": exec.input_data["payload"]
+                for exec in complete_node_executions
+                if (
+                    (block := get_block(exec.block_id))
+                    and block.block_type
+                    in [BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL]
+                )
+            },
+        }
 
-    def empty(self) -> bool:
-        return self.queue.empty()
+        outputs: CompletedBlockOutput = defaultdict(list)
+        for exec in complete_node_executions:
+            if (
+                block := get_block(exec.block_id)
+            ) and block.block_type == BlockType.OUTPUT:
+                outputs[exec.input_data["name"]].append(
+                    exec.input_data.get("value", None)
+                )
+
+        return GraphExecution(
+            **{
+                field_name: getattr(graph_exec, field_name)
+                for field_name in GraphExecutionMeta.model_fields
+            },
+            inputs=inputs,
+            outputs=outputs,
+        )
+
+
+class GraphExecutionWithNodes(GraphExecution):
+    node_executions: list["NodeExecutionResult"]
+
+    @staticmethod
+    def from_db(_graph_exec: AgentGraphExecution):
+        if _graph_exec.NodeExecutions is None:
+            raise ValueError("Node executions must be included in query")
+
+        graph_exec_with_io = GraphExecution.from_db(_graph_exec)
+
+        node_executions = sorted(
+            [
+                NodeExecutionResult.from_db(ne, _graph_exec.userId)
+                for ne in _graph_exec.NodeExecutions
+            ],
+            key=lambda ne: (ne.queue_time is None, ne.queue_time or ne.add_time),
+        )
 
+        return GraphExecutionWithNodes(
+            **{
+                field_name: getattr(graph_exec_with_io, field_name)
+                for field_name in GraphExecution.model_fields
+            },
+            node_executions=node_executions,
+        )
 
-class ExecutionResult(BaseModel):
+    def to_graph_execution_entry(self, user_context: "UserContext"):
+        return GraphExecutionEntry(
+            user_id=self.user_id,
+            graph_id=self.graph_id,
+            graph_version=self.graph_version or 0,
+            graph_exec_id=self.id,
+            nodes_input_masks={},  # FIXME: store credentials on AgentGraphExecution
+            user_context=user_context,
+        )
+
+
+class NodeExecutionResult(BaseModel):
+    user_id: str
     graph_id: str
     graph_version: int
     graph_exec_id: str
@@ -75,102 +320,262 @@ class ExecutionResult(BaseModel):
     end_time: datetime | None
 
     @staticmethod
-    def from_graph(graph: AgentGraphExecution):
-        return ExecutionResult(
-            graph_id=graph.agentGraphId,
-            graph_version=graph.agentGraphVersion,
-            graph_exec_id=graph.id,
-            node_exec_id="",
-            node_id="",
-            block_id="",
-            status=graph.executionStatus,
-            # TODO: Populate input_data & output_data from AgentNodeExecutions
-            #       Input & Output comes AgentInputBlock & AgentOutputBlock.
-            input_data={},
-            output_data={},
-            add_time=graph.createdAt,
-            queue_time=graph.createdAt,
-            start_time=graph.startedAt,
-            end_time=graph.updatedAt,
-        )
+    def from_db(_node_exec: AgentNodeExecution, user_id: Optional[str] = None):
+        try:
+            stats = NodeExecutionStats.model_validate(_node_exec.stats or {})
+        except (ValueError, ValidationError):
+            stats = NodeExecutionStats()
 
-    @staticmethod
-    def from_db(execution: AgentNodeExecution):
-        if execution.executionData:
-            # Execution that has been queued for execution will persist its data.
-            input_data = json.loads(execution.executionData, target_type=dict[str, Any])
+        if stats.cleared_inputs:
+            input_data: BlockInput = defaultdict()
+            for name, messages in stats.cleared_inputs.items():
+                input_data[name] = messages[-1] if messages else ""
+        elif _node_exec.executionData:
+            input_data = type_utils.convert(_node_exec.executionData, dict[str, Any])
         else:
-            # For incomplete execution, executionData will not be yet available.
             input_data: BlockInput = defaultdict()
-            for data in execution.Input or []:
-                input_data[data.name] = json.loads(data.data)
+            for data in _node_exec.Input or []:
+                input_data[data.name] = type_utils.convert(data.data, type[Any])
 
         output_data: CompletedBlockOutput = defaultdict(list)
-        for data in execution.Output or []:
-            output_data[data.name].append(json.loads(data.data))
 
-        graph_execution: AgentGraphExecution | None = execution.AgentGraphExecution
-
-        return ExecutionResult(
+        if stats.cleared_outputs:
+            for name, messages in stats.cleared_outputs.items():
+                output_data[name].extend(messages)
+        else:
+            for data in _node_exec.Output or []:
+                output_data[data.name].append(type_utils.convert(data.data, type[Any]))
+
+        graph_execution: AgentGraphExecution | None = _node_exec.GraphExecution
+        if graph_execution:
+            user_id = graph_execution.userId
+        elif not user_id:
+            raise ValueError(
+                "AgentGraphExecution must be included or user_id passed in"
+            )
+
+        return NodeExecutionResult(
+            user_id=user_id,
             graph_id=graph_execution.agentGraphId if graph_execution else "",
             graph_version=graph_execution.agentGraphVersion if graph_execution else 0,
-            graph_exec_id=execution.agentGraphExecutionId,
-            block_id=execution.AgentNode.agentBlockId if execution.AgentNode else "",
-            node_exec_id=execution.id,
-            node_id=execution.agentNodeId,
-            status=execution.executionStatus,
+            graph_exec_id=_node_exec.agentGraphExecutionId,
+            block_id=_node_exec.Node.agentBlockId if _node_exec.Node else "",
+            node_exec_id=_node_exec.id,
+            node_id=_node_exec.agentNodeId,
+            status=_node_exec.executionStatus,
             input_data=input_data,
             output_data=output_data,
-            add_time=execution.addedTime,
-            queue_time=execution.queuedTime,
-            start_time=execution.startedTime,
-            end_time=execution.endedTime,
+            add_time=_node_exec.addedTime,
+            queue_time=_node_exec.queuedTime,
+            start_time=_node_exec.startedTime,
+            end_time=_node_exec.endedTime,
+        )
+
+    def to_node_execution_entry(
+        self, user_context: "UserContext"
+    ) -> "NodeExecutionEntry":
+        return NodeExecutionEntry(
+            user_id=self.user_id,
+            graph_exec_id=self.graph_exec_id,
+            graph_id=self.graph_id,
+            node_exec_id=self.node_exec_id,
+            node_id=self.node_id,
+            block_id=self.block_id,
+            inputs=self.input_data,
+            user_context=user_context,
         )
 
 
 # --------------------- Model functions --------------------- #
 
 
+async def get_graph_executions(
+    graph_exec_id: Optional[str] = None,
+    graph_id: Optional[str] = None,
+    user_id: Optional[str] = None,
+    statuses: Optional[list[ExecutionStatus]] = None,
+    created_time_gte: Optional[datetime] = None,
+    created_time_lte: Optional[datetime] = None,
+    limit: Optional[int] = None,
+) -> list[GraphExecutionMeta]:
+    """⚠️ **Optional `user_id` check**: MUST USE check in user-facing endpoints."""
+    where_filter: AgentGraphExecutionWhereInput = {
+        "isDeleted": False,
+    }
+    if graph_exec_id:
+        where_filter["id"] = graph_exec_id
+    if user_id:
+        where_filter["userId"] = user_id
+    if graph_id:
+        where_filter["agentGraphId"] = graph_id
+    if created_time_gte or created_time_lte:
+        where_filter["createdAt"] = {
+            "gte": created_time_gte or datetime.min.replace(tzinfo=timezone.utc),
+            "lte": created_time_lte or datetime.max.replace(tzinfo=timezone.utc),
+        }
+    if statuses:
+        where_filter["OR"] = [{"executionStatus": status} for status in statuses]
+
+    executions = await AgentGraphExecution.prisma().find_many(
+        where=where_filter,
+        order={"createdAt": "desc"},
+        take=limit,
+    )
+    return [GraphExecutionMeta.from_db(execution) for execution in executions]
+
+
+class GraphExecutionsPaginated(BaseModel):
+    """Response schema for paginated graph executions."""
+
+    executions: list[GraphExecutionMeta]
+    pagination: Pagination
+
+
+async def get_graph_executions_paginated(
+    user_id: str,
+    graph_id: Optional[str] = None,
+    page: int = 1,
+    page_size: int = 25,
+    statuses: Optional[list[ExecutionStatus]] = None,
+    created_time_gte: Optional[datetime] = None,
+    created_time_lte: Optional[datetime] = None,
+) -> GraphExecutionsPaginated:
+    """Get paginated graph executions for a specific graph."""
+    where_filter: AgentGraphExecutionWhereInput = {
+        "isDeleted": False,
+        "userId": user_id,
+    }
+
+    if graph_id:
+        where_filter["agentGraphId"] = graph_id
+    if created_time_gte or created_time_lte:
+        where_filter["createdAt"] = {
+            "gte": created_time_gte or datetime.min.replace(tzinfo=timezone.utc),
+            "lte": created_time_lte or datetime.max.replace(tzinfo=timezone.utc),
+        }
+    if statuses:
+        where_filter["OR"] = [{"executionStatus": status} for status in statuses]
+
+    total_count = await AgentGraphExecution.prisma().count(where=where_filter)
+    total_pages = (total_count + page_size - 1) // page_size
+
+    offset = (page - 1) * page_size
+    executions = await AgentGraphExecution.prisma().find_many(
+        where=where_filter,
+        order={"createdAt": "desc"},
+        take=page_size,
+        skip=offset,
+    )
+
+    return GraphExecutionsPaginated(
+        executions=[GraphExecutionMeta.from_db(execution) for execution in executions],
+        pagination=Pagination(
+            total_items=total_count,
+            total_pages=total_pages,
+            current_page=page,
+            page_size=page_size,
+        ),
+    )
+
+
+async def get_graph_execution_meta(
+    user_id: str, execution_id: str
+) -> GraphExecutionMeta | None:
+    execution = await AgentGraphExecution.prisma().find_first(
+        where={"id": execution_id, "isDeleted": False, "userId": user_id}
+    )
+    return GraphExecutionMeta.from_db(execution) if execution else None
+
+
+@overload
+async def get_graph_execution(
+    user_id: str,
+    execution_id: str,
+    include_node_executions: Literal[True],
+) -> GraphExecutionWithNodes | None: ...
+
+
+@overload
+async def get_graph_execution(
+    user_id: str,
+    execution_id: str,
+    include_node_executions: Literal[False] = False,
+) -> GraphExecution | None: ...
+
+
+@overload
+async def get_graph_execution(
+    user_id: str,
+    execution_id: str,
+    include_node_executions: bool = False,
+) -> GraphExecution | GraphExecutionWithNodes | None: ...
+
+
+async def get_graph_execution(
+    user_id: str,
+    execution_id: str,
+    include_node_executions: bool = False,
+) -> GraphExecution | GraphExecutionWithNodes | None:
+    execution = await AgentGraphExecution.prisma().find_first(
+        where={"id": execution_id, "isDeleted": False, "userId": user_id},
+        include=(
+            GRAPH_EXECUTION_INCLUDE_WITH_NODES
+            if include_node_executions
+            else graph_execution_include(
+                [*get_io_block_ids(), *get_webhook_block_ids()]
+            )
+        ),
+    )
+    if not execution:
+        return None
+
+    return (
+        GraphExecutionWithNodes.from_db(execution)
+        if include_node_executions
+        else GraphExecution.from_db(execution)
+    )
+
+
 async def create_graph_execution(
     graph_id: str,
     graph_version: int,
-    nodes_input: list[tuple[str, BlockInput]],
+    starting_nodes_input: list[tuple[str, BlockInput]],
     user_id: str,
-) -> tuple[str, list[ExecutionResult]]:
+    preset_id: str | None = None,
+) -> GraphExecutionWithNodes:
     """
     Create a new AgentGraphExecution record.
     Returns:
         The id of the AgentGraphExecution and the list of ExecutionResult for each node.
     """
     result = await AgentGraphExecution.prisma().create(
-        data={
-            "agentGraphId": graph_id,
-            "agentGraphVersion": graph_version,
-            "executionStatus": ExecutionStatus.QUEUED,
-            "AgentNodeExecutions": {
-                "create": [  # type: ignore
-                    {
-                        "agentNodeId": node_id,
-                        "executionStatus": ExecutionStatus.INCOMPLETE,
-                        "Input": {
+        data=AgentGraphExecutionCreateInput(
+            agentGraphId=graph_id,
+            agentGraphVersion=graph_version,
+            executionStatus=ExecutionStatus.QUEUED,
+            NodeExecutions={
+                "create": [
+                    AgentNodeExecutionCreateInput(
+                        agentNodeId=node_id,
+                        executionStatus=ExecutionStatus.QUEUED,
+                        queuedTime=datetime.now(tz=timezone.utc),
+                        Input={
                             "create": [
-                                {"name": name, "data": json.dumps(data)}
+                                {"name": name, "data": SafeJson(data)}
                                 for name, data in node_input.items()
                             ]
                         },
-                    }
-                    for node_id, node_input in nodes_input
+                    )
+                    for node_id, node_input in starting_nodes_input
                 ]
             },
-            "userId": user_id,
-        },
-        include=GRAPH_EXECUTION_INCLUDE,
+            userId=user_id,
+            agentPresetId=preset_id,
+        ),
+        include=GRAPH_EXECUTION_INCLUDE_WITH_NODES,
     )
 
-    return result.id, [
-        ExecutionResult.from_db(execution)
-        for execution in result.AgentNodeExecutions or []
-    ]
+    return GraphExecutionWithNodes.from_db(result)
 
 
 async def upsert_execution_input(
@@ -192,33 +597,41 @@ async def upsert_execution_input(
         node_exec_id: [Optional] The id of the AgentNodeExecution that has no `input_name` as input. If not provided, it will find the eligible incomplete AgentNodeExecution or create a new one.
 
     Returns:
-        * The id of the created or existing AgentNodeExecution.
-        * Dict of node input data, key is the input name, value is the input data.
+        str: The id of the created or existing AgentNodeExecution.
+        dict[str, Any]: Node input data; key is the input name, value is the input data.
     """
-    existing_execution = await AgentNodeExecution.prisma().find_first(
-        where={  # type: ignore
-            **({"id": node_exec_id} if node_exec_id else {}),
-            "agentNodeId": node_id,
-            "agentGraphExecutionId": graph_exec_id,
-            "executionStatus": ExecutionStatus.INCOMPLETE,
-            "Input": {"every": {"name": {"not": input_name}}},
+    existing_exec_query_filter: AgentNodeExecutionWhereInput = {
+        "agentGraphExecutionId": graph_exec_id,
+        "agentNodeId": node_id,
+        "executionStatus": ExecutionStatus.INCOMPLETE,
+        "Input": {
+            "none": {
+                "name": input_name,
+                "time": {"gte": datetime.now(tz=timezone.utc) - timedelta(days=1)},
+            }
         },
+    }
+    if node_exec_id:
+        existing_exec_query_filter["id"] = node_exec_id
+
+    existing_execution = await AgentNodeExecution.prisma().find_first(
+        where=existing_exec_query_filter,
         order={"addedTime": "asc"},
         include={"Input": True},
     )
-    json_input_data = json.dumps(input_data)
+    json_input_data = SafeJson(input_data)
 
     if existing_execution:
         await AgentNodeExecutionInputOutput.prisma().create(
-            data={
-                "name": input_name,
-                "data": json_input_data,
-                "referencedByInputExecId": existing_execution.id,
-            }
+            data=AgentNodeExecutionInputOutputCreateInput(
+                name=input_name,
+                data=json_input_data,
+                referencedByInputExecId=existing_execution.id,
+            )
         )
         return existing_execution.id, {
             **{
-                input_data.name: json.loads(input_data.data)
+                input_data.name: type_utils.convert(input_data.data, type[Any])
                 for input_data in existing_execution.Input or []
             },
             input_name: input_data,
@@ -226,12 +639,12 @@ async def upsert_execution_input(
 
     elif not node_exec_id:
         result = await AgentNodeExecution.prisma().create(
-            data={
-                "agentNodeId": node_id,
-                "agentGraphExecutionId": graph_exec_id,
-                "executionStatus": ExecutionStatus.INCOMPLETE,
-                "Input": {"create": {"name": input_name, "data": json_input_data}},
-            }
+            data=AgentNodeExecutionCreateInput(
+                agentNodeId=node_id,
+                agentGraphExecutionId=graph_exec_id,
+                executionStatus=ExecutionStatus.INCOMPLETE,
+                Input={"create": {"name": input_name, "data": json_input_data}},
+            )
         )
         return result.id, {input_name: input_data}
 
@@ -244,241 +657,473 @@ async def upsert_execution_input(
 async def upsert_execution_output(
     node_exec_id: str,
     output_name: str,
-    output_data: Any,
+    output_data: Any | None,
 ) -> None:
     """
     Insert AgentNodeExecutionInputOutput record for as one of AgentNodeExecution.Output.
     """
-    await AgentNodeExecutionInputOutput.prisma().create(
-        data={
-            "name": output_name,
-            "data": json.dumps(output_data),
-            "referencedByOutputExecId": node_exec_id,
-        }
-    )
+    data: AgentNodeExecutionInputOutputCreateInput = {
+        "name": output_name,
+        "referencedByOutputExecId": node_exec_id,
+    }
+    if output_data is not None:
+        data["data"] = SafeJson(output_data)
+    await AgentNodeExecutionInputOutput.prisma().create(data=data)
 
 
-async def update_graph_execution_start_time(graph_exec_id: str):
-    await AgentGraphExecution.prisma().update(
+async def update_graph_execution_start_time(
+    graph_exec_id: str,
+) -> GraphExecution | None:
+    res = await AgentGraphExecution.prisma().update(
         where={"id": graph_exec_id},
         data={
             "executionStatus": ExecutionStatus.RUNNING,
             "startedAt": datetime.now(tz=timezone.utc),
         },
+        include=graph_execution_include(
+            [*get_io_block_ids(), *get_webhook_block_ids()]
+        ),
     )
+    return GraphExecution.from_db(res) if res else None
 
 
 async def update_graph_execution_stats(
     graph_exec_id: str,
-    stats: dict[str, Any],
-) -> ExecutionResult:
-    status = ExecutionStatus.FAILED if stats.get("error") else ExecutionStatus.COMPLETED
-    res = await AgentGraphExecution.prisma().update(
-        where={"id": graph_exec_id},
-        data={
-            "executionStatus": status,
-            "stats": json.dumps(stats),
+    status: ExecutionStatus | None = None,
+    stats: GraphExecutionStats | None = None,
+) -> GraphExecution | None:
+    update_data: AgentGraphExecutionUpdateManyMutationInput = {}
+
+    if stats:
+        stats_dict = stats.model_dump()
+        if isinstance(stats_dict.get("error"), Exception):
+            stats_dict["error"] = str(stats_dict["error"])
+        update_data["stats"] = SafeJson(stats_dict)
+
+    if status:
+        update_data["executionStatus"] = status
+
+    updated_count = await AgentGraphExecution.prisma().update_many(
+        where={
+            "id": graph_exec_id,
+            "OR": [
+                {"executionStatus": ExecutionStatus.RUNNING},
+                {"executionStatus": ExecutionStatus.QUEUED},
+                # Terminated graph can be resumed.
+                {"executionStatus": ExecutionStatus.TERMINATED},
+            ],
         },
+        data=update_data,
     )
-    if not res:
-        raise ValueError(f"Execution {graph_exec_id} not found.")
+    if updated_count == 0:
+        return None
 
-    return ExecutionResult.from_graph(res)
+    graph_exec = await AgentGraphExecution.prisma().find_unique_or_raise(
+        where={"id": graph_exec_id},
+        include=graph_execution_include(
+            [*get_io_block_ids(), *get_webhook_block_ids()]
+        ),
+    )
+    return GraphExecution.from_db(graph_exec)
 
 
-async def update_node_execution_stats(node_exec_id: str, stats: dict[str, Any]):
-    await AgentNodeExecution.prisma().update(
-        where={"id": node_exec_id},
-        data={"stats": json.dumps(stats)},
+async def update_node_execution_status_batch(
+    node_exec_ids: list[str],
+    status: ExecutionStatus,
+    stats: dict[str, Any] | None = None,
+):
+    await AgentNodeExecution.prisma().update_many(
+        where={"id": {"in": node_exec_ids}},
+        data=_get_update_status_data(status, None, stats),
     )
 
 
-async def update_execution_status(
+async def update_node_execution_status(
     node_exec_id: str,
     status: ExecutionStatus,
     execution_data: BlockInput | None = None,
     stats: dict[str, Any] | None = None,
-) -> ExecutionResult:
+) -> NodeExecutionResult:
     if status == ExecutionStatus.QUEUED and execution_data is None:
         raise ValueError("Execution data must be provided when queuing an execution.")
 
-    now = datetime.now(tz=timezone.utc)
-    data = {
-        **({"executionStatus": status}),
-        **({"queuedTime": now} if status == ExecutionStatus.QUEUED else {}),
-        **({"startedTime": now} if status == ExecutionStatus.RUNNING else {}),
-        **({"endedTime": now} if status == ExecutionStatus.FAILED else {}),
-        **({"endedTime": now} if status == ExecutionStatus.COMPLETED else {}),
-        **({"executionData": json.dumps(execution_data)} if execution_data else {}),
-        **({"stats": json.dumps(stats)} if stats else {}),
-    }
-
     res = await AgentNodeExecution.prisma().update(
         where={"id": node_exec_id},
-        data=data,  # type: ignore
+        data=_get_update_status_data(status, execution_data, stats),
         include=EXECUTION_RESULT_INCLUDE,
     )
     if not res:
         raise ValueError(f"Execution {node_exec_id} not found.")
 
-    return ExecutionResult.from_db(res)
+    return NodeExecutionResult.from_db(res)
 
 
-async def get_execution_results(graph_exec_id: str) -> list[ExecutionResult]:
-    executions = await AgentNodeExecution.prisma().find_many(
-        where={"agentGraphExecutionId": graph_exec_id},
-        include=EXECUTION_RESULT_INCLUDE,
-        order=[
-            {"queuedTime": "asc"},
-            {"addedTime": "asc"},  # Fallback: Incomplete execs has no queuedTime.
-        ],
-    )
-    res = [ExecutionResult.from_db(execution) for execution in executions]
-    return res
-
+def _get_update_status_data(
+    status: ExecutionStatus,
+    execution_data: BlockInput | None = None,
+    stats: dict[str, Any] | None = None,
+) -> AgentNodeExecutionUpdateInput:
+    now = datetime.now(tz=timezone.utc)
+    update_data: AgentNodeExecutionUpdateInput = {"executionStatus": status}
 
-LIST_SPLIT = "_$_"
-DICT_SPLIT = "_#_"
-OBJC_SPLIT = "_@_"
+    if status == ExecutionStatus.QUEUED:
+        update_data["queuedTime"] = now
+    elif status == ExecutionStatus.RUNNING:
+        update_data["startedTime"] = now
+    elif status in (ExecutionStatus.FAILED, ExecutionStatus.COMPLETED):
+        update_data["endedTime"] = now
 
+    if execution_data:
+        update_data["executionData"] = SafeJson(execution_data)
+    if stats:
+        update_data["stats"] = SafeJson(stats)
 
-def parse_execution_output(output: BlockData, name: str) -> Any | None:
-    # Allow extracting partial output data by name.
-    output_name, output_data = output
+    return update_data
 
-    if name == output_name:
-        return output_data
 
-    if name.startswith(f"{output_name}{LIST_SPLIT}"):
-        index = int(name.split(LIST_SPLIT)[1])
-        if not isinstance(output_data, list) or len(output_data) <= index:
-            return None
-        return output_data[int(name.split(LIST_SPLIT)[1])]
+async def delete_graph_execution(
+    graph_exec_id: str, user_id: str, soft_delete: bool = True
+) -> None:
+    if soft_delete:
+        deleted_count = await AgentGraphExecution.prisma().update_many(
+            where={"id": graph_exec_id, "userId": user_id}, data={"isDeleted": True}
+        )
+    else:
+        deleted_count = await AgentGraphExecution.prisma().delete_many(
+            where={"id": graph_exec_id, "userId": user_id}
+        )
+    if deleted_count < 1:
+        raise DatabaseError(
+            f"Could not delete graph execution #{graph_exec_id}: not found"
+        )
 
-    if name.startswith(f"{output_name}{DICT_SPLIT}"):
-        index = name.split(DICT_SPLIT)[1]
-        if not isinstance(output_data, dict) or index not in output_data:
-            return None
-        return output_data[index]
 
-    if name.startswith(f"{output_name}{OBJC_SPLIT}"):
-        index = name.split(OBJC_SPLIT)[1]
-        if isinstance(output_data, object) and hasattr(output_data, index):
-            return getattr(output_data, index)
+async def get_node_execution(node_exec_id: str) -> NodeExecutionResult | None:
+    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
+    execution = await AgentNodeExecution.prisma().find_first(
+        where={"id": node_exec_id},
+        include=EXECUTION_RESULT_INCLUDE,
+    )
+    if not execution:
         return None
+    return NodeExecutionResult.from_db(execution)
+
+
+async def get_node_executions(
+    graph_exec_id: str | None = None,
+    node_id: str | None = None,
+    block_ids: list[str] | None = None,
+    statuses: list[ExecutionStatus] | None = None,
+    limit: int | None = None,
+    created_time_gte: datetime | None = None,
+    created_time_lte: datetime | None = None,
+    include_exec_data: bool = True,
+) -> list[NodeExecutionResult]:
+    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
+    where_clause: AgentNodeExecutionWhereInput = {}
+    if graph_exec_id:
+        where_clause["agentGraphExecutionId"] = graph_exec_id
+    if node_id:
+        where_clause["agentNodeId"] = node_id
+    if block_ids:
+        where_clause["Node"] = {"is": {"agentBlockId": {"in": block_ids}}}
+    if statuses:
+        where_clause["OR"] = [{"executionStatus": status} for status in statuses]
+
+    if created_time_gte or created_time_lte:
+        where_clause["addedTime"] = {
+            "gte": created_time_gte or datetime.min.replace(tzinfo=timezone.utc),
+            "lte": created_time_lte or datetime.max.replace(tzinfo=timezone.utc),
+        }
 
-    return None
-
+    executions = await AgentNodeExecution.prisma().find_many(
+        where=where_clause,
+        include=(
+            EXECUTION_RESULT_INCLUDE
+            if include_exec_data
+            else {"Node": True, "GraphExecution": True}
+        ),
+        order=EXECUTION_RESULT_ORDER,
+        take=limit,
+    )
+    res = [NodeExecutionResult.from_db(execution) for execution in executions]
+    return res
 
-def merge_execution_input(data: BlockInput) -> BlockInput:
-    """
-    Merge all dynamic input pins which described by the following pattern:
-    - <input_name>_$_<index> for list input.
-    - <input_name>_#_<index> for dict input.
-    - <input_name>_@_<index> for object input.
-    This function will construct pins with the same name into a single list/dict/object.
-    """
 
-    # Merge all input with <input_name>_$_<index> into a single list.
-    items = list(data.items())
-
-    for key, value in items:
-        if LIST_SPLIT not in key:
-            continue
-        name, index = key.split(LIST_SPLIT)
-        if not index.isdigit():
-            raise ValueError(f"Invalid key: {key}, #{index} index must be an integer.")
-
-        data[name] = data.get(name, [])
-        if int(index) >= len(data[name]):
-            # Pad list with empty string on missing indices.
-            data[name].extend([""] * (int(index) - len(data[name]) + 1))
-        data[name][int(index)] = value
-
-    # Merge all input with <input_name>_#_<index> into a single dict.
-    for key, value in items:
-        if DICT_SPLIT not in key:
-            continue
-        name, index = key.split(DICT_SPLIT)
-        data[name] = data.get(name, {})
-        data[name][index] = value
-
-    # Merge all input with <input_name>_@_<index> into a single object.
-    for key, value in items:
-        if OBJC_SPLIT not in key:
-            continue
-        name, index = key.split(OBJC_SPLIT)
-        if name not in data or not isinstance(data[name], object):
-            data[name] = mock.MockObject()
-        setattr(data[name], index, value)
-
-    return data
-
-
-async def get_latest_execution(node_id: str, graph_eid: str) -> ExecutionResult | None:
+async def get_latest_node_execution(
+    node_id: str, graph_eid: str
+) -> NodeExecutionResult | None:
+    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
     execution = await AgentNodeExecution.prisma().find_first(
         where={
-            "agentNodeId": node_id,
             "agentGraphExecutionId": graph_eid,
-            "executionStatus": {"not": ExecutionStatus.INCOMPLETE},
-            "executionData": {"not": None},  # type: ignore
+            "agentNodeId": node_id,
+            "OR": [
+                {"executionStatus": ExecutionStatus.QUEUED},
+                {"executionStatus": ExecutionStatus.RUNNING},
+                {"executionStatus": ExecutionStatus.COMPLETED},
+                {"executionStatus": ExecutionStatus.TERMINATED},
+                {"executionStatus": ExecutionStatus.FAILED},
+            ],
         },
-        order={"queuedTime": "desc"},
         include=EXECUTION_RESULT_INCLUDE,
+        order=EXECUTION_RESULT_ORDER,
     )
     if not execution:
         return None
-    return ExecutionResult.from_db(execution)
+    return NodeExecutionResult.from_db(execution)
 
 
-async def get_incomplete_executions(
-    node_id: str, graph_eid: str
-) -> list[ExecutionResult]:
-    executions = await AgentNodeExecution.prisma().find_many(
-        where={
-            "agentNodeId": node_id,
-            "agentGraphExecutionId": graph_eid,
-            "executionStatus": ExecutionStatus.INCOMPLETE,
-        },
-        include=EXECUTION_RESULT_INCLUDE,
-    )
-    return [ExecutionResult.from_db(execution) for execution in executions]
+# ----------------- Execution Infrastructure ----------------- #
+
+
+class UserContext(BaseModel):
+    """Generic user context for graph execution containing user-specific settings."""
+
+    timezone: str
+
+
+class GraphExecutionEntry(BaseModel):
+    user_id: str
+    graph_exec_id: str
+    graph_id: str
+    graph_version: int
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None
+    user_context: UserContext
+
+
+class NodeExecutionEntry(BaseModel):
+    user_id: str
+    graph_exec_id: str
+    graph_id: str
+    node_exec_id: str
+    node_id: str
+    block_id: str
+    inputs: BlockInput
+    user_context: UserContext
+
+
+class ExecutionQueue(Generic[T]):
+    """
+    Queue for managing the execution of agents.
+    This will be shared between different processes
+    """
+
+    def __init__(self):
+        self.queue = Manager().Queue()
+
+    def add(self, execution: T) -> T:
+        self.queue.put(execution)
+        return execution
+
+    def get(self) -> T:
+        return self.queue.get()
+
+    def empty(self) -> bool:
+        return self.queue.empty()
+
+    def get_or_none(self) -> T | None:
+        try:
+            return self.queue.get_nowait()
+        except Empty:
+            return None
 
 
 # --------------------- Event Bus --------------------- #
 
-config = Config()
 
+class ExecutionEventType(str, Enum):
+    GRAPH_EXEC_UPDATE = "graph_execution_update"
+    NODE_EXEC_UPDATE = "node_execution_update"
+    ERROR_COMMS_UPDATE = "error_comms_update"
 
-class RedisExecutionEventBus(RedisEventBus[ExecutionResult]):
-    Model = ExecutionResult
+
+class GraphExecutionEvent(GraphExecution):
+    event_type: Literal[ExecutionEventType.GRAPH_EXEC_UPDATE] = (
+        ExecutionEventType.GRAPH_EXEC_UPDATE
+    )
+
+
+class NodeExecutionEvent(NodeExecutionResult):
+    event_type: Literal[ExecutionEventType.NODE_EXEC_UPDATE] = (
+        ExecutionEventType.NODE_EXEC_UPDATE
+    )
+
+
+ExecutionEvent = Annotated[
+    GraphExecutionEvent | NodeExecutionEvent, Field(discriminator="event_type")
+]
+
+
+class RedisExecutionEventBus(RedisEventBus[ExecutionEvent]):
+    Model = ExecutionEvent  # type: ignore
 
     @property
     def event_bus_name(self) -> str:
         return config.execution_event_bus_name
 
-    def publish(self, res: ExecutionResult):
-        self.publish_event(res, f"{res.graph_id}/{res.graph_exec_id}")
+    def publish(self, res: GraphExecution | NodeExecutionResult):
+        if isinstance(res, GraphExecution):
+            self._publish_graph_exec_update(res)
+        else:
+            self._publish_node_exec_update(res)
+
+    def _publish_node_exec_update(self, res: NodeExecutionResult):
+        event = NodeExecutionEvent.model_validate(res.model_dump())
+        self._publish(event, f"{res.user_id}/{res.graph_id}/{res.graph_exec_id}")
+
+    def _publish_graph_exec_update(self, res: GraphExecution):
+        event = GraphExecutionEvent.model_validate(res.model_dump())
+        self._publish(event, f"{res.user_id}/{res.graph_id}/{res.id}")
+
+    def _publish(self, event: ExecutionEvent, channel: str):
+        """
+        truncate inputs and outputs to avoid large payloads
+        """
+        limit = config.max_message_size_limit // 2
+        if isinstance(event, GraphExecutionEvent):
+            event.inputs = truncate(event.inputs, limit)
+            event.outputs = truncate(event.outputs, limit)
+        elif isinstance(event, NodeExecutionEvent):
+            event.input_data = truncate(event.input_data, limit)
+            event.output_data = truncate(event.output_data, limit)
+
+        super().publish_event(event, channel)
 
     def listen(
-        self, graph_id: str = "*", graph_exec_id: str = "*"
-    ) -> Generator[ExecutionResult, None, None]:
-        for execution_result in self.listen_events(f"{graph_id}/{graph_exec_id}"):
-            yield execution_result
+        self, user_id: str, graph_id: str = "*", graph_exec_id: str = "*"
+    ) -> Generator[ExecutionEvent, None, None]:
+        for event in self.listen_events(f"{user_id}/{graph_id}/{graph_exec_id}"):
+            yield event
 
 
-class AsyncRedisExecutionEventBus(AsyncRedisEventBus[ExecutionResult]):
-    Model = ExecutionResult
+class AsyncRedisExecutionEventBus(AsyncRedisEventBus[ExecutionEvent]):
+    Model = ExecutionEvent  # type: ignore
 
     @property
     def event_bus_name(self) -> str:
         return config.execution_event_bus_name
 
-    async def publish(self, res: ExecutionResult):
-        await self.publish_event(res, f"{res.graph_id}/{res.graph_exec_id}")
+    @func_retry
+    async def publish(self, res: GraphExecutionMeta | NodeExecutionResult):
+        if isinstance(res, GraphExecutionMeta):
+            await self._publish_graph_exec_update(res)
+        else:
+            await self._publish_node_exec_update(res)
+
+    async def _publish_node_exec_update(self, res: NodeExecutionResult):
+        event = NodeExecutionEvent.model_validate(res.model_dump())
+        await self._publish(event, f"{res.user_id}/{res.graph_id}/{res.graph_exec_id}")
+
+    async def _publish_graph_exec_update(self, res: GraphExecutionMeta):
+        # GraphExecutionEvent requires inputs and outputs fields that GraphExecutionMeta doesn't have
+        # Add default empty values for compatibility
+        event_data = res.model_dump()
+        event_data.setdefault("inputs", {})
+        event_data.setdefault("outputs", {})
+        event = GraphExecutionEvent.model_validate(event_data)
+        await self._publish(event, f"{res.user_id}/{res.graph_id}/{res.id}")
+
+    async def _publish(self, event: ExecutionEvent, channel: str):
+        """
+        truncate inputs and outputs to avoid large payloads
+        """
+        limit = config.max_message_size_limit // 2
+        if isinstance(event, GraphExecutionEvent):
+            event.inputs = truncate(event.inputs, limit)
+            event.outputs = truncate(event.outputs, limit)
+        elif isinstance(event, NodeExecutionEvent):
+            event.input_data = truncate(event.input_data, limit)
+            event.output_data = truncate(event.output_data, limit)
+
+        await super().publish_event(event, channel)
 
     async def listen(
-        self, graph_id: str = "*", graph_exec_id: str = "*"
-    ) -> AsyncGenerator[ExecutionResult, None]:
-        async for execution_result in self.listen_events(f"{graph_id}/{graph_exec_id}"):
-            yield execution_result
+        self, user_id: str, graph_id: str = "*", graph_exec_id: str = "*"
+    ) -> AsyncGenerator[ExecutionEvent, None]:
+        async for event in self.listen_events(f"{user_id}/{graph_id}/{graph_exec_id}"):
+            yield event
+
+
+# --------------------- KV Data Functions --------------------- #
+
+
+async def get_execution_kv_data(user_id: str, key: str) -> Any | None:
+    """
+    Get key-value data for a user and key.
+
+    Args:
+        user_id: The id of the User.
+        key: The key to retrieve data for.
+
+    Returns:
+        The data associated with the key, or None if not found.
+    """
+    kv_data = await AgentNodeExecutionKeyValueData.prisma().find_unique(
+        where={"userId_key": {"userId": user_id, "key": key}}
+    )
+    return (
+        type_utils.convert(kv_data.data, type[Any])
+        if kv_data and kv_data.data
+        else None
+    )
+
+
+async def set_execution_kv_data(
+    user_id: str, node_exec_id: str, key: str, data: Any
+) -> Any | None:
+    """
+    Set key-value data for a user and key.
+
+    Args:
+        user_id: The id of the User.
+        node_exec_id: The id of the AgentNodeExecution.
+        key: The key to store data under.
+        data: The data to store.
+    """
+    resp = await AgentNodeExecutionKeyValueData.prisma().upsert(
+        where={"userId_key": {"userId": user_id, "key": key}},
+        data={
+            "create": AgentNodeExecutionKeyValueDataCreateInput(
+                userId=user_id,
+                agentNodeExecutionId=node_exec_id,
+                key=key,
+                data=SafeJson(data) if data is not None else None,
+            ),
+            "update": {
+                "agentNodeExecutionId": node_exec_id,
+                "data": SafeJson(data) if data is not None else None,
+            },
+        },
+    )
+    return type_utils.convert(resp.data, type[Any]) if resp and resp.data else None
+
+
+async def get_block_error_stats(
+    start_time: datetime, end_time: datetime
+) -> list[BlockErrorStats]:
+    """Get block execution stats using efficient SQL aggregation."""
+
+    query_template = """
+    SELECT 
+        n."agentBlockId" as block_id,
+        COUNT(*) as total_executions,
+        SUM(CASE WHEN ne."executionStatus" = 'FAILED' THEN 1 ELSE 0 END) as failed_executions
+    FROM {schema_prefix}"AgentNodeExecution" ne
+    JOIN {schema_prefix}"AgentNode" n ON ne."agentNodeId" = n.id
+    WHERE ne."addedTime" >= $1::timestamp AND ne."addedTime" <= $2::timestamp
+    GROUP BY n."agentBlockId"
+    HAVING COUNT(*) >= 10
+    """
+
+    result = await query_raw_with_schema(query_template, start_time, end_time)
+
+    # Convert to typed data structures
+    return [
+        BlockErrorStats(
+            block_id=row["block_id"],
+            total_executions=int(row["total_executions"]),
+            failed_executions=int(row["failed_executions"]),
+        )
+        for row in result
+    ]
diff --git a/autogpt_platform/backend/backend/data/generate_data.py b/autogpt_platform/backend/backend/data/generate_data.py
new file mode 100644
index 000000000000..edaa2772c8f0
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/generate_data.py
@@ -0,0 +1,109 @@
+import logging
+from collections import defaultdict
+from datetime import datetime
+
+from prisma.enums import AgentExecutionStatus
+
+from backend.data.execution import get_graph_executions
+from backend.data.graph import get_graph_metadata
+from backend.data.model import UserExecutionSummaryStats
+from backend.server.v2.store.exceptions import DatabaseError
+from backend.util.logging import TruncatedLogger
+
+logger = TruncatedLogger(logging.getLogger(__name__), prefix="[SummaryData]")
+
+
+async def get_user_execution_summary_data(
+    user_id: str, start_time: datetime, end_time: datetime
+) -> UserExecutionSummaryStats:
+    """Gather all summary data for a user in a time range.
+
+    This function fetches graph executions once and aggregates all required
+    statistics in a single pass for efficiency.
+    """
+    try:
+        # Fetch graph executions once
+        executions = await get_graph_executions(
+            user_id=user_id,
+            created_time_gte=start_time,
+            created_time_lte=end_time,
+        )
+
+        # Initialize aggregation variables
+        total_credits_used = 0.0
+        total_executions = len(executions)
+        successful_runs = 0
+        failed_runs = 0
+        terminated_runs = 0
+        execution_times = []
+        agent_usage = defaultdict(int)
+        cost_by_graph_id = defaultdict(float)
+
+        # Single pass through executions to aggregate all stats
+        for execution in executions:
+            # Count execution statuses (including TERMINATED as failed)
+            if execution.status == AgentExecutionStatus.COMPLETED:
+                successful_runs += 1
+            elif execution.status == AgentExecutionStatus.FAILED:
+                failed_runs += 1
+            elif execution.status == AgentExecutionStatus.TERMINATED:
+                terminated_runs += 1
+
+            # Aggregate costs from stats
+            if execution.stats and hasattr(execution.stats, "cost"):
+                cost_in_dollars = execution.stats.cost / 100
+                total_credits_used += cost_in_dollars
+                cost_by_graph_id[execution.graph_id] += cost_in_dollars
+
+            # Collect execution times
+            if execution.stats and hasattr(execution.stats, "duration"):
+                execution_times.append(execution.stats.duration)
+
+            # Count agent usage
+            agent_usage[execution.graph_id] += 1
+
+        # Calculate derived stats
+        total_execution_time = sum(execution_times)
+        average_execution_time = (
+            total_execution_time / len(execution_times) if execution_times else 0
+        )
+
+        # Find most used agent
+        most_used_agent = "No agents used"
+        if agent_usage:
+            most_used_agent_id = max(agent_usage, key=lambda k: agent_usage[k])
+            try:
+                graph_meta = await get_graph_metadata(graph_id=most_used_agent_id)
+                most_used_agent = (
+                    graph_meta.name if graph_meta else f"Agent {most_used_agent_id[:8]}"
+                )
+            except Exception:
+                logger.warning(f"Could not get metadata for graph {most_used_agent_id}")
+                most_used_agent = f"Agent {most_used_agent_id[:8]}"
+
+        # Convert graph_ids to agent names for cost breakdown
+        cost_breakdown = {}
+        for graph_id, cost in cost_by_graph_id.items():
+            try:
+                graph_meta = await get_graph_metadata(graph_id=graph_id)
+                agent_name = graph_meta.name if graph_meta else f"Agent {graph_id[:8]}"
+            except Exception:
+                logger.warning(f"Could not get metadata for graph {graph_id}")
+                agent_name = f"Agent {graph_id[:8]}"
+            cost_breakdown[agent_name] = cost
+
+        # Build the summary stats object (include terminated runs as failed)
+        return UserExecutionSummaryStats(
+            total_credits_used=total_credits_used,
+            total_executions=total_executions,
+            successful_runs=successful_runs,
+            failed_runs=failed_runs + terminated_runs,
+            most_used_agent=most_used_agent,
+            total_execution_time=total_execution_time,
+            average_execution_time=average_execution_time,
+            cost_breakdown=cost_breakdown,
+        )
+
+    except Exception as e:
+        logger.error(f"Failed to get user summary data: {e}")
+        raise DatabaseError(f"Failed to get user summary data: {e}") from e
diff --git a/autogpt_platform/backend/backend/data/graph.py b/autogpt_platform/backend/backend/data/graph.py
index 1a8a021d45f0..1e423feb5e45 100644
--- a/autogpt_platform/backend/backend/data/graph.py
+++ b/autogpt_platform/backend/backend/data/graph.py
@@ -1,24 +1,40 @@
-import asyncio
 import logging
 import uuid
 from collections import defaultdict
-from datetime import datetime, timezone
-from typing import Any, Literal, Optional, Type
-
-import prisma
-from prisma.models import AgentGraph, AgentGraphExecution, AgentNode, AgentNodeLink
-from prisma.types import AgentGraphWhereInput
+from typing import TYPE_CHECKING, Any, Literal, Optional, cast
+
+from prisma.enums import SubmissionStatus
+from prisma.models import AgentGraph, AgentNode, AgentNodeLink, StoreListingVersion
+from prisma.types import (
+    AgentGraphCreateInput,
+    AgentGraphWhereInput,
+    AgentNodeCreateInput,
+    AgentNodeLinkCreateInput,
+    StoreListingVersionWhereInput,
+)
+from pydantic import Field, JsonValue, create_model
 from pydantic.fields import computed_field
 
 from backend.blocks.agent import AgentExecutorBlock
-from backend.blocks.basic import AgentInputBlock, AgentOutputBlock
-from backend.util import json
-
-from .block import BlockInput, BlockType, get_block, get_blocks
-from .db import BaseDbModel, transaction
-from .execution import ExecutionStatus
+from backend.blocks.io import AgentInputBlock, AgentOutputBlock
+from backend.blocks.llm import LlmModel
+from backend.data.db import prisma as db
+from backend.data.model import (
+    CredentialsField,
+    CredentialsFieldInfo,
+    CredentialsMetaInput,
+    is_credentials_field_name,
+)
+from backend.integrations.providers import ProviderName
+from backend.util import type as type_utils
+from backend.util.json import SafeJson
+
+from .block import Block, BlockInput, BlockSchema, BlockType, get_block, get_blocks
+from .db import BaseDbModel, query_raw_with_schema, transaction
 from .includes import AGENT_GRAPH_INCLUDE, AGENT_NODE_INCLUDE
-from .integrations import Webhook
+
+if TYPE_CHECKING:
+    from .integrations import Webhook
 
 logger = logging.getLogger(__name__)
 
@@ -52,24 +68,32 @@ class Node(BaseDbModel):
     input_links: list[Link] = []
     output_links: list[Link] = []
 
-    webhook_id: Optional[str] = None
+    @property
+    def block(self) -> Block[BlockSchema, BlockSchema]:
+        block = get_block(self.block_id)
+        if not block:
+            raise ValueError(
+                f"Block #{self.block_id} does not exist -> Node #{self.id} is invalid"
+            )
+        return block
 
 
 class NodeModel(Node):
     graph_id: str
     graph_version: int
 
-    webhook: Optional[Webhook] = None
+    webhook_id: Optional[str] = None
+    webhook: Optional["Webhook"] = None
 
     @staticmethod
-    def from_db(node: AgentNode):
-        if not node.AgentBlock:
-            raise ValueError(f"Invalid node {node.id}, invalid AgentBlock.")
+    def from_db(node: AgentNode, for_export: bool = False) -> "NodeModel":
+        from .integrations import Webhook
+
         obj = NodeModel(
             id=node.id,
-            block_id=node.AgentBlock.id,
-            input_default=json.loads(node.constantInput, target_type=dict[str, Any]),
-            metadata=json.loads(node.metadata, target_type=dict[str, Any]),
+            block_id=node.agentBlockId,
+            input_default=type_utils.convert(node.constantInput, dict[str, Any]),
+            metadata=type_utils.convert(node.metadata, dict[str, Any]),
             graph_id=node.agentGraphId,
             graph_version=node.agentGraphVersion,
             webhook_id=node.webhookId,
@@ -77,144 +101,252 @@ def from_db(node: AgentNode):
         )
         obj.input_links = [Link.from_db(link) for link in node.Input or []]
         obj.output_links = [Link.from_db(link) for link in node.Output or []]
+        if for_export:
+            return obj.stripped_for_export()
         return obj
 
     def is_triggered_by_event_type(self, event_type: str) -> bool:
-        if not (block := get_block(self.block_id)):
-            raise ValueError(f"Block #{self.block_id} not found for node #{self.id}")
-        if not block.webhook_config:
-            raise TypeError("This method can't be used on non-webhook blocks")
-        if not block.webhook_config.event_filter_input:
-            return True
-        event_filter = self.input_default.get(block.webhook_config.event_filter_input)
-        if not event_filter:
-            raise ValueError(f"Event filter is not configured on node #{self.id}")
-        return event_type in [
-            block.webhook_config.event_format.format(event=k)
-            for k in event_filter
-            if event_filter[k] is True
-        ]
+        return self.block.is_triggered_by_event_type(self.input_default, event_type)
 
+    def stripped_for_export(self) -> "NodeModel":
+        """
+        Returns a copy of the node model, stripped of any non-transferable properties
+        """
+        stripped_node = self.model_copy(deep=True)
+        # Remove credentials from node input
+        if stripped_node.input_default:
+            stripped_node.input_default = NodeModel._filter_secrets_from_node_input(
+                stripped_node.input_default, self.block.input_schema.jsonschema()
+            )
 
-# Fix 2-way reference Node <-> Webhook
-Webhook.model_rebuild()
+        if (
+            stripped_node.block.block_type == BlockType.INPUT
+            and "value" in stripped_node.input_default
+        ):
+            stripped_node.input_default["value"] = ""
 
+        # Remove webhook info
+        stripped_node.webhook_id = None
+        stripped_node.webhook = None
 
-class GraphExecution(BaseDbModel):
-    execution_id: str
-    started_at: datetime
-    ended_at: datetime
-    duration: float
-    total_run_time: float
-    status: ExecutionStatus
-    graph_id: str
-    graph_version: int
+        return stripped_node
 
     @staticmethod
-    def from_db(execution: AgentGraphExecution):
-        now = datetime.now(timezone.utc)
-        start_time = execution.startedAt or execution.createdAt
-        end_time = execution.updatedAt or now
-        duration = (end_time - start_time).total_seconds()
-        total_run_time = duration
-
-        try:
-            stats = json.loads(execution.stats or "{}", target_type=dict[str, Any])
-        except ValueError:
-            stats = {}
-
-        duration = stats.get("walltime", duration)
-        total_run_time = stats.get("nodes_walltime", total_run_time)
-
-        return GraphExecution(
-            id=execution.id,
-            execution_id=execution.id,
-            started_at=start_time,
-            ended_at=end_time,
-            duration=duration,
-            total_run_time=total_run_time,
-            status=ExecutionStatus(execution.executionStatus),
-            graph_id=execution.agentGraphId,
-            graph_version=execution.agentGraphVersion,
-        )
+    def _filter_secrets_from_node_input(
+        input_data: dict[str, Any], schema: dict[str, Any] | None
+    ) -> dict[str, Any]:
+        sensitive_keys = ["credentials", "api_key", "password", "token", "secret"]
+        field_schemas = schema.get("properties", {}) if schema else {}
+        result = {}
+        for key, value in input_data.items():
+            field_schema: dict | None = field_schemas.get(key)
+            if (field_schema and field_schema.get("secret", False)) or any(
+                sensitive_key in key.lower() for sensitive_key in sensitive_keys
+            ):
+                # This is a secret value -> filter this key-value pair out
+                continue
+            elif isinstance(value, dict):
+                result[key] = NodeModel._filter_secrets_from_node_input(
+                    value, field_schema
+                )
+            else:
+                result[key] = value
+        return result
 
 
-class Graph(BaseDbModel):
+class BaseGraph(BaseDbModel):
     version: int = 1
     is_active: bool = True
-    is_template: bool = False
     name: str
     description: str
     nodes: list[Node] = []
     links: list[Link] = []
+    forked_from_id: str | None = None
+    forked_from_version: int | None = None
 
     @computed_field
     @property
     def input_schema(self) -> dict[str, Any]:
         return self._generate_schema(
-            AgentInputBlock.Input,
-            [
-                node.input_default
+            *(
+                (block.input_schema, node.input_default)
                 for node in self.nodes
-                if (b := get_block(node.block_id))
-                and b.block_type == BlockType.INPUT
-                and "name" in node.input_default
-            ],
+                if (block := node.block).block_type == BlockType.INPUT
+                and issubclass(block.input_schema, AgentInputBlock.Input)
+            )
         )
 
     @computed_field
     @property
     def output_schema(self) -> dict[str, Any]:
         return self._generate_schema(
-            AgentOutputBlock.Input,
-            [
-                node.input_default
+            *(
+                (block.input_schema, node.input_default)
                 for node in self.nodes
-                if (b := get_block(node.block_id))
-                and b.block_type == BlockType.OUTPUT
-                and "name" in node.input_default
-            ],
+                if (block := node.block).block_type == BlockType.OUTPUT
+                and issubclass(block.input_schema, AgentOutputBlock.Input)
+            )
+        )
+
+    @computed_field
+    @property
+    def has_external_trigger(self) -> bool:
+        return self.webhook_input_node is not None
+
+    @property
+    def webhook_input_node(self) -> Node | None:
+        return next(
+            (
+                node
+                for node in self.nodes
+                if node.block.block_type
+                in (BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL)
+            ),
+            None,
         )
 
     @staticmethod
     def _generate_schema(
-        type_class: Type[AgentInputBlock.Input] | Type[AgentOutputBlock.Input],
-        data: list[dict],
+        *props: tuple[type[AgentInputBlock.Input] | type[AgentOutputBlock.Input], dict],
     ) -> dict[str, Any]:
-        props = []
-        for p in data:
+        schema_fields: list[AgentInputBlock.Input | AgentOutputBlock.Input] = []
+        for type_class, input_default in props:
             try:
-                props.append(type_class(**p))
+                schema_fields.append(type_class.model_construct(**input_default))
             except Exception as e:
-                logger.warning(f"Invalid {type_class}: {p}, {e}")
+                logger.error(f"Invalid {type_class}: {input_default}, {e}")
 
         return {
             "type": "object",
             "properties": {
                 p.name: {
+                    **{
+                        k: v
+                        for k, v in p.generate_schema().items()
+                        if k not in ["description", "default"]
+                    },
                     "secret": p.secret,
-                    "advanced": p.advanced,
+                    # Default value has to be set for advanced fields.
+                    "advanced": p.advanced and p.value is not None,
                     "title": p.title or p.name,
                     **({"description": p.description} if p.description else {}),
                     **({"default": p.value} if p.value is not None else {}),
                 }
-                for p in props
+                for p in schema_fields
             },
-            "required": [p.name for p in props if p.value is None],
+            "required": [p.name for p in schema_fields if p.value is None],
+        }
+
+
+class Graph(BaseGraph):
+    sub_graphs: list[BaseGraph] = []  # Flattened sub-graphs
+
+    @computed_field
+    @property
+    def credentials_input_schema(self) -> dict[str, Any]:
+        return self._credentials_input_schema.jsonschema()
+
+    @property
+    def _credentials_input_schema(self) -> type[BlockSchema]:
+        graph_credentials_inputs = self.aggregate_credentials_inputs()
+        logger.debug(
+            f"Combined credentials input fields for graph #{self.id} ({self.name}): "
+            f"{graph_credentials_inputs}"
+        )
+
+        # Warn if same-provider credentials inputs can't be combined (= bad UX)
+        graph_cred_fields = list(graph_credentials_inputs.values())
+        for i, (field, keys) in enumerate(graph_cred_fields):
+            for other_field, other_keys in list(graph_cred_fields)[i + 1 :]:
+                if field.provider != other_field.provider:
+                    continue
+                if ProviderName.HTTP in field.provider:
+                    continue
+
+                # If this happens, that means a block implementation probably needs
+                # to be updated.
+                logger.warning(
+                    "Multiple combined credentials fields "
+                    f"for provider {field.provider} "
+                    f"on graph #{self.id} ({self.name}); "
+                    f"fields: {field} <> {other_field};"
+                    f"keys: {keys} <> {other_keys}."
+                )
+
+        fields: dict[str, tuple[type[CredentialsMetaInput], CredentialsMetaInput]] = {
+            agg_field_key: (
+                CredentialsMetaInput[
+                    Literal[tuple(field_info.provider)],  # type: ignore
+                    Literal[tuple(field_info.supported_types)],  # type: ignore
+                ],
+                CredentialsField(
+                    required_scopes=set(field_info.required_scopes or []),
+                    discriminator=field_info.discriminator,
+                    discriminator_mapping=field_info.discriminator_mapping,
+                    discriminator_values=field_info.discriminator_values,
+                ),
+            )
+            for agg_field_key, (field_info, _) in graph_credentials_inputs.items()
         }
 
+        return create_model(
+            self.name.replace(" ", "") + "CredentialsInputSchema",
+            __base__=BlockSchema,
+            **fields,  # type: ignore
+        )
+
+    def aggregate_credentials_inputs(
+        self,
+    ) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]]]]:
+        """
+        Returns:
+            dict[aggregated_field_key, tuple(
+                CredentialsFieldInfo: A spec for one aggregated credentials field
+                    (now includes discriminator_values from matching nodes)
+                set[(node_id, field_name)]: Node credentials fields that are
+                    compatible with this aggregated field spec
+            )]
+        """
+        # First collect all credential field data with input defaults
+        node_credential_data = []
+
+        for graph in [self] + self.sub_graphs:
+            for node in graph.nodes:
+                for (
+                    field_name,
+                    field_info,
+                ) in node.block.input_schema.get_credentials_fields_info().items():
+
+                    discriminator = field_info.discriminator
+                    if not discriminator:
+                        node_credential_data.append((field_info, (node.id, field_name)))
+                        continue
+
+                    discriminator_value = node.input_default.get(discriminator)
+                    if discriminator_value is None:
+                        node_credential_data.append((field_info, (node.id, field_name)))
+                        continue
+
+                    discriminated_info = field_info.discriminate(discriminator_value)
+                    discriminated_info.discriminator_values.add(discriminator_value)
+
+                    node_credential_data.append(
+                        (discriminated_info, (node.id, field_name))
+                    )
+
+        # Combine credential field info (this will merge discriminator_values automatically)
+        return CredentialsFieldInfo.combine(*node_credential_data)
+
 
 class GraphModel(Graph):
     user_id: str
     nodes: list[NodeModel] = []  # type: ignore
 
     @property
-    def starting_nodes(self) -> list[Node]:
+    def starting_nodes(self) -> list[NodeModel]:
         outbound_nodes = {link.sink_id for link in self.links}
         input_nodes = {
-            v.id
-            for v in self.nodes
-            if (b := get_block(v.block_id)) and b.block_type == BlockType.INPUT
+            node.id for node in self.nodes if node.block.block_type == BlockType.INPUT
         }
         return [
             node
@@ -222,212 +354,353 @@ def starting_nodes(self) -> list[Node]:
             if node.id not in outbound_nodes or node.id in input_nodes
         ]
 
+    def meta(self) -> "GraphMeta":
+        """
+        Returns a GraphMeta object with metadata about the graph.
+        This is used to return metadata about the graph without exposing nodes and links.
+        """
+        return GraphMeta.from_graph(self)
+
     def reassign_ids(self, user_id: str, reassign_graph_id: bool = False):
         """
         Reassigns all IDs in the graph to new UUIDs.
         This method can be used before storing a new graph to the database.
         """
+        if reassign_graph_id:
+            graph_id_map = {
+                self.id: str(uuid.uuid4()),
+                **{sub_graph.id: str(uuid.uuid4()) for sub_graph in self.sub_graphs},
+            }
+        else:
+            graph_id_map = {}
 
+        self._reassign_ids(self, user_id, graph_id_map)
+        for sub_graph in self.sub_graphs:
+            self._reassign_ids(sub_graph, user_id, graph_id_map)
+
+    @staticmethod
+    def _reassign_ids(
+        graph: BaseGraph,
+        user_id: str,
+        graph_id_map: dict[str, str],
+    ):
         # Reassign Graph ID
-        id_map = {node.id: str(uuid.uuid4()) for node in self.nodes}
-        if reassign_graph_id:
-            self.id = str(uuid.uuid4())
+        if graph.id in graph_id_map:
+            graph.id = graph_id_map[graph.id]
 
         # Reassign Node IDs
-        for node in self.nodes:
+        id_map = {node.id: str(uuid.uuid4()) for node in graph.nodes}
+        for node in graph.nodes:
             node.id = id_map[node.id]
 
         # Reassign Link IDs
-        for link in self.links:
-            link.source_id = id_map[link.source_id]
-            link.sink_id = id_map[link.sink_id]
+        for link in graph.links:
+            if link.source_id in id_map:
+                link.source_id = id_map[link.source_id]
+            if link.sink_id in id_map:
+                link.sink_id = id_map[link.sink_id]
 
         # Reassign User IDs for agent blocks
-        for node in self.nodes:
+        for node in graph.nodes:
             if node.block_id != AgentExecutorBlock().id:
                 continue
             node.input_default["user_id"] = user_id
-            node.input_default.setdefault("data", {})
+            node.input_default.setdefault("inputs", {})
+            if (
+                graph_id := node.input_default.get("graph_id")
+            ) and graph_id in graph_id_map:
+                node.input_default["graph_id"] = graph_id_map[graph_id]
+
+    def validate_graph(
+        self,
+        for_run: bool = False,
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+    ):
+        """
+        Validate graph structure and raise `ValueError` on issues.
+        For structured error reporting, use `validate_graph_get_errors`.
+        """
+        self._validate_graph(self, for_run, nodes_input_masks)
+        for sub_graph in self.sub_graphs:
+            self._validate_graph(sub_graph, for_run, nodes_input_masks)
+
+    @staticmethod
+    def _validate_graph(
+        graph: BaseGraph,
+        for_run: bool = False,
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+    ) -> None:
+        errors = GraphModel._validate_graph_get_errors(
+            graph, for_run, nodes_input_masks
+        )
+        if errors:
+            # Just raise the first error for backward compatibility
+            first_error = next(iter(errors.values()))
+            first_field_error = next(iter(first_error.values()))
+            raise ValueError(first_field_error)
+
+    def validate_graph_get_errors(
+        self,
+        for_run: bool = False,
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+    ) -> dict[str, dict[str, str]]:
+        """
+        Validate graph and return structured errors per node.
+
+        Returns: dict[node_id, dict[field_name, error_message]]
+        """
+        return {
+            **self._validate_graph_get_errors(self, for_run, nodes_input_masks),
+            **{
+                node_id: error
+                for sub_graph in self.sub_graphs
+                for node_id, error in self._validate_graph_get_errors(
+                    sub_graph, for_run, nodes_input_masks
+                ).items()
+            },
+        }
+
+    @staticmethod
+    def _validate_graph_get_errors(
+        graph: BaseGraph,
+        for_run: bool = False,
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+    ) -> dict[str, dict[str, str]]:
+        """
+        Validate graph and return structured errors per node.
 
-        self.validate_graph()
+        Returns: dict[node_id, dict[field_name, error_message]]
+        """
+        # First, check for structural issues with the graph
+        try:
+            GraphModel._validate_graph_structure(graph)
+        except ValueError:
+            # If structural validation fails, we can't provide per-node errors
+            # so we re-raise as is
+            raise
+
+        # Collect errors per node
+        node_errors: dict[str, dict[str, str]] = defaultdict(dict)
+
+        # Validate smart decision maker nodes
+        nodes_block = {
+            node.id: block
+            for node in graph.nodes
+            if (block := get_block(node.block_id)) is not None
+        }
 
-    def validate_graph(self, for_run: bool = False):
-        def sanitize(name):
-            return name.split("_#_")[0].split("_@_")[0].split("_$_")[0]
+        input_links: dict[str, list[Link]] = defaultdict(list)
 
-        input_links = defaultdict(list)
-        for link in self.links:
+        for link in graph.links:
             input_links[link.sink_id].append(link)
 
         # Nodes: required fields are filled or connected and dependencies are satisfied
-        for node in self.nodes:
-            block = get_block(node.block_id)
-            if block is None:
+        for node in graph.nodes:
+            if (block := nodes_block.get(node.id)) is None:
+                # For invalid blocks, we still raise immediately as this is a structural issue
                 raise ValueError(f"Invalid block {node.block_id} for node #{node.id}")
 
+            node_input_mask = (
+                nodes_input_masks.get(node.id, {}) if nodes_input_masks else {}
+            )
             provided_inputs = set(
-                [sanitize(name) for name in node.input_default]
-                + [sanitize(link.sink_name) for link in input_links.get(node.id, [])]
+                [_sanitize_pin_name(name) for name in node.input_default]
+                + [
+                    _sanitize_pin_name(link.sink_name)
+                    for link in input_links.get(node.id, [])
+                ]
+                + ([name for name in node_input_mask] if node_input_mask else [])
             )
-            for name in block.input_schema.get_required_fields():
+            InputSchema = block.input_schema
+
+            for name in (required_fields := InputSchema.get_required_fields()):
                 if (
                     name not in provided_inputs
-                    and not (
-                        name == "payload"
-                        and block.block_type
-                        in (BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL)
-                    )
+                    # Checking availability of credentials is done by ExecutionManager
+                    and name not in InputSchema.get_credentials_fields()
+                    # Validate only I/O nodes, or validate everything when executing
                     and (
-                        for_run  # Skip input completion validation, unless when executing.
-                        or block.block_type == BlockType.INPUT
-                        or block.block_type == BlockType.OUTPUT
-                        or block.block_type == BlockType.AGENT
+                        for_run
+                        or block.block_type
+                        in [
+                            BlockType.INPUT,
+                            BlockType.OUTPUT,
+                            BlockType.AGENT,
+                        ]
                     )
                 ):
-                    raise ValueError(
-                        f"Node {block.name} #{node.id} required input missing: `{name}`"
+                    node_errors[node.id][name] = "This field is required"
+
+                if (
+                    block.block_type == BlockType.INPUT
+                    and (input_key := node.input_default.get("name"))
+                    and is_credentials_field_name(input_key)
+                ):
+                    node_errors[node.id]["name"] = (
+                        f"'{input_key}' is a reserved input name: "
+                        "'credentials' and `*_credentials` are reserved"
                     )
 
             # Get input schema properties and check dependencies
-            input_schema = block.input_schema.model_fields
-            required_fields = block.input_schema.get_required_fields()
+            input_fields = InputSchema.model_fields
 
-            def has_value(name):
+            def has_value(node: Node, name: str):
                 return (
-                    node is not None
-                    and name in node.input_default
-                    and node.input_default[name] is not None
-                    and str(node.input_default[name]).strip() != ""
-                ) or (name in input_schema and input_schema[name].default is not None)
+                    (
+                        name in node.input_default
+                        and node.input_default[name] is not None
+                        and str(node.input_default[name]).strip() != ""
+                    )
+                    or (name in input_fields and input_fields[name].default is not None)
+                    or (
+                        name in node_input_mask
+                        and node_input_mask[name] is not None
+                        and str(node_input_mask[name]).strip() != ""
+                    )
+                )
 
             # Validate dependencies between fields
-            for field_name, field_info in input_schema.items():
-                # Apply input dependency validation only on run & field with depends_on
-                json_schema_extra = field_info.json_schema_extra or {}
-                dependencies = json_schema_extra.get("depends_on", [])
-                if not for_run or not dependencies:
+            for field_name in input_fields.keys():
+                field_json_schema = InputSchema.get_field_schema(field_name)
+
+                dependencies: list[str] = []
+
+                # Check regular field dependencies (only pre graph execution)
+                if for_run:
+                    dependencies.extend(field_json_schema.get("depends_on", []))
+
+                # Require presence of credentials discriminator (always).
+                # The `discriminator` is either the name of a sibling field (str),
+                # or an object that discriminates between possible types for this field:
+                # {"propertyName": prop_name, "mapping": {prop_value: sub_schema}}
+                if (
+                    discriminator := field_json_schema.get("discriminator")
+                ) and isinstance(discriminator, str):
+                    dependencies.append(discriminator)
+
+                if not dependencies:
                     continue
 
                 # Check if dependent field has value in input_default
-                field_has_value = has_value(field_name)
+                field_has_value = has_value(node, field_name)
                 field_is_required = field_name in required_fields
 
                 # Check for missing dependencies when dependent field is present
-                missing_deps = [dep for dep in dependencies if not has_value(dep)]
+                missing_deps = [dep for dep in dependencies if not has_value(node, dep)]
                 if missing_deps and (field_has_value or field_is_required):
-                    raise ValueError(
-                        f"Node {block.name} #{node.id}: Field `{field_name}` requires [{', '.join(missing_deps)}] to be set"
-                    )
+                    node_errors[node.id][
+                        field_name
+                    ] = f"Requires {', '.join(missing_deps)} to be set"
 
-        node_map = {v.id: v for v in self.nodes}
+        return node_errors
+
+    @staticmethod
+    def _validate_graph_structure(graph: BaseGraph):
+        """Validate graph structure (links, connections, etc.)"""
+        node_map = {v.id: v for v in graph.nodes}
 
         def is_static_output_block(nid: str) -> bool:
-            bid = node_map[nid].block_id
-            b = get_block(bid)
-            return b.static_output if b else False
+            return node_map[nid].block.static_output
 
         # Links: links are connected and the connected pin data type are compatible.
-        for link in self.links:
+        for link in graph.links:
             source = (link.source_id, link.source_name)
             sink = (link.sink_id, link.sink_name)
-            suffix = f"Link {source} <-> {sink}"
+            prefix = f"Link {source} <-> {sink}"
 
             for i, (node_id, name) in enumerate([source, sink]):
                 node = node_map.get(node_id)
                 if not node:
                     raise ValueError(
-                        f"{suffix}, {node_id} is invalid node id, available nodes: {node_map.keys()}"
+                        f"{prefix}, {node_id} is invalid node id, available nodes: {node_map.keys()}"
                     )
 
                 block = get_block(node.block_id)
                 if not block:
                     blocks = {v().id: v().name for v in get_blocks().values()}
                     raise ValueError(
-                        f"{suffix}, {node.block_id} is invalid block id, available blocks: {blocks}"
+                        f"{prefix}, {node.block_id} is invalid block id, available blocks: {blocks}"
                     )
 
-                sanitized_name = sanitize(name)
+                sanitized_name = _sanitize_pin_name(name)
                 vals = node.input_default
                 if i == 0:
                     fields = (
                         block.output_schema.get_fields()
-                        if block.block_type != BlockType.AGENT
+                        if block.block_type not in [BlockType.AGENT]
                         else vals.get("output_schema", {}).get("properties", {}).keys()
                     )
                 else:
                     fields = (
                         block.input_schema.get_fields()
-                        if block.block_type != BlockType.AGENT
+                        if block.block_type not in [BlockType.AGENT]
                         else vals.get("input_schema", {}).get("properties", {}).keys()
                     )
-                if sanitized_name not in fields:
+                if sanitized_name not in fields and not _is_tool_pin(name):
                     fields_msg = f"Allowed fields: {fields}"
-                    raise ValueError(f"{suffix}, `{name}` invalid, {fields_msg}")
+                    raise ValueError(f"{prefix}, `{name}` invalid, {fields_msg}")
 
             if is_static_output_block(link.source_id):
                 link.is_static = True  # Each value block output should be static.
 
     @staticmethod
-    def from_db(graph: AgentGraph, for_export: bool = False):
+    def from_db(
+        graph: AgentGraph,
+        for_export: bool = False,
+        sub_graphs: list[AgentGraph] | None = None,
+    ) -> "GraphModel":
         return GraphModel(
             id=graph.id,
-            user_id=graph.userId,
+            user_id=graph.userId if not for_export else "",
             version=graph.version,
+            forked_from_id=graph.forkedFromId,
+            forked_from_version=graph.forkedFromVersion,
             is_active=graph.isActive,
-            is_template=graph.isTemplate,
             name=graph.name or "",
             description=graph.description or "",
-            nodes=[
-                NodeModel.from_db(GraphModel._process_node(node, for_export))
-                for node in graph.AgentNodes or []
-            ],
+            nodes=[NodeModel.from_db(node, for_export) for node in graph.Nodes or []],
             links=list(
                 {
                     Link.from_db(link)
-                    for node in graph.AgentNodes or []
+                    for node in graph.Nodes or []
                     for link in (node.Input or []) + (node.Output or [])
                 }
             ),
+            sub_graphs=[
+                GraphModel.from_db(sub_graph, for_export)
+                for sub_graph in sub_graphs or []
+            ],
         )
 
-    @staticmethod
-    def _process_node(node: AgentNode, for_export: bool) -> AgentNode:
-        if for_export:
-            # Remove credentials from node input
-            if node.constantInput:
-                constant_input = json.loads(
-                    node.constantInput, target_type=dict[str, Any]
-                )
-                constant_input = GraphModel._hide_node_input_credentials(constant_input)
-                node.constantInput = json.dumps(constant_input)
 
-            # Remove webhook info
-            node.webhookId = None
-            node.Webhook = None
+def _is_tool_pin(name: str) -> bool:
+    return name.startswith("tools_^_")
+
+
+def _sanitize_pin_name(name: str) -> str:
+    sanitized_name = name.split("_#_")[0].split("_@_")[0].split("_$_")[0]
+    if _is_tool_pin(sanitized_name):
+        return "tools"
+    return sanitized_name
+
+
+class GraphMeta(Graph):
+    user_id: str
 
-        return node
+    # Easy work-around to prevent exposing nodes and links in the API response
+    nodes: list[NodeModel] = Field(default=[], exclude=True)  # type: ignore
+    links: list[Link] = Field(default=[], exclude=True)
 
     @staticmethod
-    def _hide_node_input_credentials(input_data: dict[str, Any]) -> dict[str, Any]:
-        sensitive_keys = ["credentials", "api_key", "password", "token", "secret"]
-        result = {}
-        for key, value in input_data.items():
-            if isinstance(value, dict):
-                result[key] = GraphModel._hide_node_input_credentials(value)
-            elif isinstance(value, str) and any(
-                sensitive_key in key.lower() for sensitive_key in sensitive_keys
-            ):
-                # Skip this key-value pair in the result
-                continue
-            else:
-                result[key] = value
-        return result
+    def from_graph(graph: GraphModel) -> "GraphMeta":
+        return GraphMeta(**graph.model_dump())
 
 
 # --------------------- CRUD functions --------------------- #
 
 
 async def get_node(node_id: str) -> NodeModel:
+    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
     node = await AgentNode.prisma().find_unique_or_raise(
         where={"id": node_id},
         include=AGENT_NODE_INCLUDE,
@@ -436,6 +709,7 @@ async def get_node(node_id: str) -> NodeModel:
 
 
 async def set_node_webhook(node_id: str, webhook_id: str | None) -> NodeModel:
+    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
     node = await AgentNode.prisma().update(
         where={"id": node_id},
         data=(
@@ -450,27 +724,25 @@ async def set_node_webhook(node_id: str, webhook_id: str | None) -> NodeModel:
     return NodeModel.from_db(node)
 
 
-async def get_graphs(
+async def list_graphs(
     user_id: str,
-    filter_by: Literal["active", "template"] | None = "active",
-) -> list[GraphModel]:
+    filter_by: Literal["active"] | None = "active",
+) -> list[GraphMeta]:
     """
     Retrieves graph metadata objects.
     Default behaviour is to get all currently active graphs.
 
     Args:
-        filter_by: An optional filter to either select templates or active graphs.
+        filter_by: An optional filter to either select graphs.
         user_id: The ID of the user that owns the graph.
 
     Returns:
-        list[GraphModel]: A list of objects representing the retrieved graphs.
+        list[GraphMeta]: A list of objects representing the retrieved graphs.
     """
     where_clause: AgentGraphWhereInput = {"userId": user_id}
 
     if filter_by == "active":
         where_clause["isActive"] = True
-    elif filter_by == "template":
-        where_clause["isTemplate"] = True
 
     graphs = await AgentGraph.prisma().find_many(
         where=where_clause,
@@ -479,10 +751,13 @@ async def get_graphs(
         include=AGENT_GRAPH_INCLUDE,
     )
 
-    graph_models = []
+    graph_models: list[GraphMeta] = []
     for graph in graphs:
         try:
-            graph_models.append(GraphModel.from_db(graph))
+            graph_meta = GraphModel.from_db(graph).meta()
+            # Trigger serialization to validate that the graph is well formed
+            graph_meta.model_dump()
+            graph_models.append(graph_meta)
         except Exception as e:
             logger.error(f"Error processing graph {graph.id}: {e}")
             continue
@@ -490,53 +765,196 @@ async def get_graphs(
     return graph_models
 
 
-async def get_executions(user_id: str) -> list[GraphExecution]:
-    executions = await AgentGraphExecution.prisma().find_many(
-        where={"userId": user_id},
-        order={"createdAt": "desc"},
+async def get_graph_metadata(graph_id: str, version: int | None = None) -> Graph | None:
+    where_clause: AgentGraphWhereInput = {
+        "id": graph_id,
+    }
+
+    if version is not None:
+        where_clause["version"] = version
+
+    graph = await AgentGraph.prisma().find_first(
+        where=where_clause,
+        order={"version": "desc"},
     )
-    return [GraphExecution.from_db(execution) for execution in executions]
 
+    if not graph:
+        return None
 
-async def get_execution(user_id: str, execution_id: str) -> GraphExecution | None:
-    execution = await AgentGraphExecution.prisma().find_first(
-        where={"id": execution_id, "userId": user_id}
+    return Graph(
+        id=graph.id,
+        name=graph.name or "",
+        description=graph.description or "",
+        version=graph.version,
+        is_active=graph.isActive,
     )
-    return GraphExecution.from_db(execution) if execution else None
 
 
 async def get_graph(
     graph_id: str,
     version: int | None = None,
-    template: bool = False,
     user_id: str | None = None,
     for_export: bool = False,
+    include_subgraphs: bool = False,
 ) -> GraphModel | None:
     """
     Retrieves a graph from the DB.
-    Defaults to the version with `is_active` if `version` is not passed,
-    or the latest version with `is_template` if `template=True`.
+    Defaults to the version with `is_active` if `version` is not passed.
 
     Returns `None` if the record is not found.
     """
     where_clause: AgentGraphWhereInput = {
         "id": graph_id,
-        "isTemplate": template,
     }
+
     if version is not None:
         where_clause["version"] = version
-    elif not template:
-        where_clause["isActive"] = True
 
-    if user_id is not None and not template:
-        where_clause["userId"] = user_id
+    graph = await AgentGraph.prisma().find_first(
+        where=where_clause,
+        include=AGENT_GRAPH_INCLUDE,
+        order={"version": "desc"},
+    )
+    if graph is None:
+        return None
+
+    if graph.userId != user_id:
+        store_listing_filter: StoreListingVersionWhereInput = {
+            "agentGraphId": graph_id,
+            "isDeleted": False,
+            "submissionStatus": SubmissionStatus.APPROVED,
+        }
+        if version is not None:
+            store_listing_filter["agentGraphVersion"] = version
+
+        # For access, the graph must be owned by the user or listed in the store
+        if not await StoreListingVersion.prisma().find_first(
+            where=store_listing_filter, order={"agentGraphVersion": "desc"}
+        ):
+            return None
+
+    if include_subgraphs or for_export:
+        sub_graphs = await get_sub_graphs(graph)
+        return GraphModel.from_db(
+            graph=graph,
+            sub_graphs=sub_graphs,
+            for_export=for_export,
+        )
+
+    return GraphModel.from_db(graph, for_export)
+
+
+async def get_graph_as_admin(
+    graph_id: str,
+    version: int | None = None,
+    user_id: str | None = None,
+    for_export: bool = False,
+) -> GraphModel | None:
+    """
+    Intentionally parallels the get_graph but should only be used for admin tasks, because can return any graph that's been submitted
+    Retrieves a graph from the DB.
+    Defaults to the version with `is_active` if `version` is not passed.
+
+    Returns `None` if the record is not found.
+    """
+    logger.warning(f"Getting {graph_id=} {version=} as ADMIN {user_id=} {for_export=}")
+    where_clause: AgentGraphWhereInput = {
+        "id": graph_id,
+    }
+
+    if version is not None:
+        where_clause["version"] = version
 
     graph = await AgentGraph.prisma().find_first(
         where=where_clause,
         include=AGENT_GRAPH_INCLUDE,
         order={"version": "desc"},
     )
-    return GraphModel.from_db(graph, for_export) if graph else None
+
+    # For access, the graph must be owned by the user or listed in the store
+    if graph is None or (
+        graph.userId != user_id
+        and not (
+            await StoreListingVersion.prisma().find_first(
+                where={
+                    "agentGraphId": graph_id,
+                    "agentGraphVersion": version or graph.version,
+                }
+            )
+        )
+    ):
+        return None
+
+    if for_export:
+        sub_graphs = await get_sub_graphs(graph)
+        return GraphModel.from_db(
+            graph=graph,
+            sub_graphs=sub_graphs,
+            for_export=for_export,
+        )
+
+    return GraphModel.from_db(graph, for_export)
+
+
+async def get_sub_graphs(graph: AgentGraph) -> list[AgentGraph]:
+    """
+    Iteratively fetches all sub-graphs of a given graph, and flattens them into a list.
+    This call involves a DB fetch in batch, breadth-first, per-level of graph depth.
+    On each DB fetch we will only fetch the sub-graphs that are not already in the list.
+    """
+    sub_graphs = {graph.id: graph}
+    search_graphs = [graph]
+    agent_block_id = AgentExecutorBlock().id
+
+    while search_graphs:
+        sub_graph_ids = [
+            (graph_id, graph_version)
+            for graph in search_graphs
+            for node in graph.Nodes or []
+            if (
+                node.AgentBlock
+                and node.AgentBlock.id == agent_block_id
+                and (graph_id := cast(str, dict(node.constantInput).get("graph_id")))
+                and (
+                    graph_version := cast(
+                        int, dict(node.constantInput).get("graph_version")
+                    )
+                )
+            )
+        ]
+        if not sub_graph_ids:
+            break
+
+        graphs = await AgentGraph.prisma().find_many(
+            where={
+                "OR": [
+                    {
+                        "id": graph_id,
+                        "version": graph_version,
+                        "userId": graph.userId,  # Ensure the sub-graph is owned by the same user
+                    }
+                    for graph_id, graph_version in sub_graph_ids
+                ]
+            },
+            include=AGENT_GRAPH_INCLUDE,
+        )
+
+        search_graphs = [graph for graph in graphs if graph.id not in sub_graphs]
+        sub_graphs.update({graph.id: graph for graph in search_graphs})
+
+    return [g for g in sub_graphs.values() if g.id != graph.id]
+
+
+async def get_connected_output_nodes(node_id: str) -> list[tuple[Link, Node]]:
+    links = await AgentNodeLink.prisma().find_many(
+        where={"agentNodeSourceId": node_id},
+        include={"AgentNodeSink": {"include": AGENT_NODE_INCLUDE}},
+    )
+    return [
+        (Link.from_db(link), NodeModel.from_db(link.AgentNodeSink))
+        for link in links
+        if link.AgentNodeSink
+    ]
 
 
 async def set_graph_active_version(graph_id: str, version: int, user_id: str) -> None:
@@ -590,55 +1008,78 @@ async def create_graph(graph: Graph, user_id: str) -> GraphModel:
     async with transaction() as tx:
         await __create_graph(tx, graph, user_id)
 
-    if created_graph := await get_graph(
-        graph.id, graph.version, graph.is_template, user_id=user_id
-    ):
+    if created_graph := await get_graph(graph.id, graph.version, user_id=user_id):
         return created_graph
 
     raise ValueError(f"Created graph {graph.id} v{graph.version} is not in DB")
 
 
+async def fork_graph(graph_id: str, graph_version: int, user_id: str) -> GraphModel:
+    """
+    Forks a graph by copying it and all its nodes and links to a new graph.
+    """
+    graph = await get_graph(graph_id, graph_version, user_id, True)
+    if not graph:
+        raise ValueError(f"Graph {graph_id} v{graph_version} not found")
+
+    # Set forked from ID and version as itself as it's about ot be copied
+    graph.forked_from_id = graph.id
+    graph.forked_from_version = graph.version
+    graph.name = f"{graph.name} (copy)"
+    graph.reassign_ids(user_id=user_id, reassign_graph_id=True)
+    graph.validate_graph(for_run=False)
+
+    async with transaction() as tx:
+        await __create_graph(tx, graph, user_id)
+
+    return graph
+
+
 async def __create_graph(tx, graph: Graph, user_id: str):
-    await AgentGraph.prisma(tx).create(
-        data={
-            "id": graph.id,
-            "version": graph.version,
-            "name": graph.name,
-            "description": graph.description,
-            "isTemplate": graph.is_template,
-            "isActive": graph.is_active,
-            "userId": user_id,
-        }
+    graphs = [graph] + graph.sub_graphs
+
+    await AgentGraph.prisma(tx).create_many(
+        data=[
+            AgentGraphCreateInput(
+                id=graph.id,
+                version=graph.version,
+                name=graph.name,
+                description=graph.description,
+                isActive=graph.is_active,
+                userId=user_id,
+                forkedFromId=graph.forked_from_id,
+                forkedFromVersion=graph.forked_from_version,
+            )
+            for graph in graphs
+        ]
     )
 
-    await asyncio.gather(
-        *[
-            AgentNode.prisma(tx).create(
-                {
-                    "id": node.id,
-                    "agentBlockId": node.block_id,
-                    "agentGraphId": graph.id,
-                    "agentGraphVersion": graph.version,
-                    "constantInput": json.dumps(node.input_default),
-                    "metadata": json.dumps(node.metadata),
-                }
+    await AgentNode.prisma(tx).create_many(
+        data=[
+            AgentNodeCreateInput(
+                id=node.id,
+                agentGraphId=graph.id,
+                agentGraphVersion=graph.version,
+                agentBlockId=node.block_id,
+                constantInput=SafeJson(node.input_default),
+                metadata=SafeJson(node.metadata),
             )
+            for graph in graphs
             for node in graph.nodes
         ]
     )
 
-    await asyncio.gather(
-        *[
-            AgentNodeLink.prisma(tx).create(
-                {
-                    "id": str(uuid.uuid4()),
-                    "sourceName": link.source_name,
-                    "sinkName": link.sink_name,
-                    "agentNodeSourceId": link.source_id,
-                    "agentNodeSinkId": link.sink_id,
-                    "isStatic": link.is_static,
-                }
+    await AgentNodeLink.prisma(tx).create_many(
+        data=[
+            AgentNodeLinkCreateInput(
+                id=str(uuid.uuid4()),
+                sourceName=link.source_name,
+                sinkName=link.sink_name,
+                agentNodeSourceId=link.source_id,
+                agentNodeSinkId=link.sink_id,
+                isStatic=link.is_static,
             )
+            for graph in graphs
             for link in graph.links
         ]
     )
@@ -681,19 +1122,23 @@ async def fix_llm_provider_credentials():
 
     store = IntegrationCredentialsStore()
 
-    broken_nodes = await prisma.get_client().query_raw(
-        """
-        SELECT    graph."userId"       user_id,
+    broken_nodes = []
+    try:
+        broken_nodes = await query_raw_with_schema(
+            """
+            SELECT    graph."userId"       user_id,
                   node.id              node_id,
                   node."constantInput" node_preset_input
-        FROM      platform."AgentNode"  node
-        LEFT JOIN platform."AgentGraph" graph
-        ON        node."agentGraphId" = graph.id
-        WHERE     node."constantInput"::jsonb->'credentials'->>'provider' = 'llm'
-        ORDER BY  graph."userId";
-        """
-    )
-    logger.info(f"Fixing LLM credential inputs on {len(broken_nodes)} nodes")
+            FROM      {schema_prefix}"AgentNode"  node
+            LEFT JOIN {schema_prefix}"AgentGraph" graph
+            ON        node."agentGraphId" = graph.id
+            WHERE     node."constantInput"::jsonb->'credentials'->>'provider' = 'llm'
+            ORDER BY  graph."userId";
+            """
+        )
+        logger.info(f"Fixing LLM credential inputs on {len(broken_nodes)} nodes")
+    except Exception as e:
+        logger.error(f"Error fixing LLM credential inputs: {e}")
 
     user_id: str = ""
     user_integrations = None
@@ -706,7 +1151,7 @@ async def fix_llm_provider_credentials():
             raise RuntimeError(f"Impossible state while processing node {node}")
 
         node_id: str = node["node_id"]
-        node_preset_input: dict = json.loads(node["node_preset_input"])
+        node_preset_input: dict = node["node_preset_input"]
         credentials_meta: dict = node_preset_input["credentials"]
 
         credentials = next(
@@ -739,8 +1184,52 @@ async def fix_llm_provider_credentials():
             )
             continue
 
-        store.update_creds(user_id, credentials)
+        await store.update_creds(user_id, credentials)
         await AgentNode.prisma().update(
             where={"id": node_id},
-            data={"constantInput": json.dumps(node_preset_input)},
+            data={"constantInput": SafeJson(node_preset_input)},
+        )
+
+
+async def migrate_llm_models(migrate_to: LlmModel):
+    """
+    Update all LLM models in all AI blocks that don't exist in the enum.
+    Note: Only updates top level LlmModel SchemaFields of blocks (won't update nested fields).
+    """
+    logger.info("Migrating LLM models")
+    # Scan all blocks and search for LlmModel fields
+    llm_model_fields: dict[str, str] = {}  # {block_id: field_name}
+
+    # Search for all LlmModel fields
+    for block_type in get_blocks().values():
+        block = block_type()
+        from pydantic.fields import FieldInfo
+
+        fields: dict[str, FieldInfo] = block.input_schema.model_fields
+
+        # Collect top-level LlmModel fields
+        for field_name, field in fields.items():
+            if field.annotation == LlmModel:
+                llm_model_fields[block.id] = field_name
+
+    # Convert enum values to a list of strings for the SQL query
+    enum_values = [v.value for v in LlmModel]
+    escaped_enum_values = repr(tuple(enum_values))  # hack but works
+
+    # Update each block
+    for id, path in llm_model_fields.items():
+        query = f"""
+            UPDATE platform."AgentNode"
+            SET "constantInput" = jsonb_set("constantInput", $1, to_jsonb($2), true)
+            WHERE "agentBlockId" = $3
+            AND "constantInput" ? ($4)::text
+            AND "constantInput"->>($4)::text NOT IN {escaped_enum_values}
+            """
+
+        await db.execute_raw(
+            query,  # type: ignore - is supposed to be LiteralString
+            [path],
+            migrate_to.value,
+            id,
+            path,
         )
diff --git a/autogpt_platform/backend/backend/data/graph_test.py b/autogpt_platform/backend/backend/data/graph_test.py
new file mode 100644
index 000000000000..18be29f67a44
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/graph_test.py
@@ -0,0 +1,332 @@
+import json
+from typing import Any
+from uuid import UUID
+
+import autogpt_libs.auth.models
+import fastapi.exceptions
+import pytest
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.v2.store.model as store
+from backend.blocks.basic import StoreValueBlock
+from backend.blocks.io import AgentInputBlock, AgentOutputBlock
+from backend.data.block import BlockSchema
+from backend.data.graph import Graph, Link, Node
+from backend.data.model import SchemaField
+from backend.data.user import DEFAULT_USER_ID
+from backend.server.model import CreateGraph
+from backend.usecases.sample import create_test_user
+from backend.util.test import SpinTestServer
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_graph_creation(server: SpinTestServer, snapshot: Snapshot):
+    """
+    Test the creation of a graph with nodes and links.
+
+    This test ensures that:
+    1. A graph can be successfully created with valid connections.
+    2. The created graph has the correct structure and properties.
+
+    Args:
+        server (SpinTestServer): The test server instance.
+    """
+    value_block = StoreValueBlock().id
+    input_block = AgentInputBlock().id
+
+    graph = Graph(
+        id="test_graph",
+        name="TestGraph",
+        description="Test graph",
+        nodes=[
+            Node(id="node_1", block_id=value_block),
+            Node(id="node_2", block_id=input_block, input_default={"name": "input"}),
+            Node(id="node_3", block_id=value_block),
+        ],
+        links=[
+            Link(
+                source_id="node_1",
+                sink_id="node_2",
+                source_name="output",
+                sink_name="name",
+            ),
+        ],
+    )
+    create_graph = CreateGraph(graph=graph)
+    created_graph = await server.agent_server.test_create_graph(
+        create_graph, DEFAULT_USER_ID
+    )
+
+    assert UUID(created_graph.id)
+    assert created_graph.name == "TestGraph"
+
+    assert len(created_graph.nodes) == 3
+    assert UUID(created_graph.nodes[0].id)
+    assert UUID(created_graph.nodes[1].id)
+    assert UUID(created_graph.nodes[2].id)
+
+    nodes = created_graph.nodes
+    links = created_graph.links
+    assert len(links) == 1
+    assert links[0].source_id != links[0].sink_id
+    assert links[0].source_id in {nodes[0].id, nodes[1].id, nodes[2].id}
+    assert links[0].sink_id in {nodes[0].id, nodes[1].id, nodes[2].id}
+
+    # Create a serializable version of the graph for snapshot testing
+    # Remove dynamic IDs to make snapshots reproducible
+    graph_data = {
+        "name": created_graph.name,
+        "description": created_graph.description,
+        "nodes_count": len(created_graph.nodes),
+        "links_count": len(created_graph.links),
+        "node_blocks": [node.block_id for node in created_graph.nodes],
+        "link_structure": [
+            {"source_name": link.source_name, "sink_name": link.sink_name}
+            for link in created_graph.links
+        ],
+    }
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(graph_data, indent=2, sort_keys=True), "grph_struct"
+    )
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_get_input_schema(server: SpinTestServer, snapshot: Snapshot):
+    """
+    Test the get_input_schema method of a created graph.
+
+    This test ensures that:
+    1. A graph can be created with a single node.
+    2. The input schema of the created graph is correctly generated.
+    3. The input schema contains the expected input name and node id.
+
+    Args:
+        server (SpinTestServer): The test server instance.
+    """
+    value_block = StoreValueBlock().id
+    input_block = AgentInputBlock().id
+    output_block = AgentOutputBlock().id
+
+    graph = Graph(
+        name="TestInputSchema",
+        description="Test input schema",
+        nodes=[
+            Node(
+                id="node_0_a",
+                block_id=input_block,
+                input_default={
+                    "name": "in_key_a",
+                    "title": "Key A",
+                    "value": "A",
+                    "advanced": True,
+                },
+                metadata={"id": "node_0_a"},
+            ),
+            Node(
+                id="node_0_b",
+                block_id=input_block,
+                input_default={"name": "in_key_b", "advanced": True},
+                metadata={"id": "node_0_b"},
+            ),
+            Node(id="node_1", block_id=value_block, metadata={"id": "node_1"}),
+            Node(
+                id="node_2",
+                block_id=output_block,
+                input_default={
+                    "name": "out_key",
+                    "description": "This is an output key",
+                },
+                metadata={"id": "node_2"},
+            ),
+        ],
+        links=[
+            Link(
+                source_id="node_0_a",
+                sink_id="node_1",
+                source_name="result",
+                sink_name="input",
+            ),
+            Link(
+                source_id="node_0_b",
+                sink_id="node_1",
+                source_name="result",
+                sink_name="input",
+            ),
+            Link(
+                source_id="node_1",
+                sink_id="node_2",
+                source_name="output",
+                sink_name="value",
+            ),
+        ],
+    )
+
+    create_graph = CreateGraph(graph=graph)
+    created_graph = await server.agent_server.test_create_graph(
+        create_graph, DEFAULT_USER_ID
+    )
+
+    class ExpectedInputSchema(BlockSchema):
+        in_key_a: Any = SchemaField(title="Key A", default="A", advanced=True)
+        in_key_b: Any = SchemaField(title="in_key_b", advanced=False)
+
+    class ExpectedOutputSchema(BlockSchema):
+        out_key: Any = SchemaField(
+            description="This is an output key",
+            title="out_key",
+            advanced=False,
+        )
+
+    input_schema = created_graph.input_schema
+    input_schema["title"] = "ExpectedInputSchema"
+    assert input_schema == ExpectedInputSchema.jsonschema()
+
+    # Add snapshot testing for the schemas
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(input_schema, indent=2, sort_keys=True), "grph_in_schm"
+    )
+
+    output_schema = created_graph.output_schema
+    output_schema["title"] = "ExpectedOutputSchema"
+    assert output_schema == ExpectedOutputSchema.jsonschema()
+
+    # Add snapshot testing for the output schema
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(output_schema, indent=2, sort_keys=True), "grph_out_schm"
+    )
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_clean_graph(server: SpinTestServer):
+    """
+    Test the clean_graph function that:
+    1. Clears input block values
+    2. Removes credentials from nodes
+    """
+    # Create a graph with input blocks and credentials
+    graph = Graph(
+        id="test_clean_graph",
+        name="Test Clean Graph",
+        description="Test graph cleaning",
+        nodes=[
+            Node(
+                id="input_node",
+                block_id=AgentInputBlock().id,
+                input_default={
+                    "name": "test_input",
+                    "value": "test value",
+                    "description": "Test input description",
+                },
+            ),
+        ],
+        links=[],
+    )
+
+    # Create graph and get model
+    create_graph = CreateGraph(graph=graph)
+    created_graph = await server.agent_server.test_create_graph(
+        create_graph, DEFAULT_USER_ID
+    )
+
+    # Clean the graph
+    created_graph = await server.agent_server.test_get_graph(
+        created_graph.id, created_graph.version, DEFAULT_USER_ID, for_export=True
+    )
+
+    # # Verify input block value is cleared
+    input_node = next(
+        n for n in created_graph.nodes if n.block_id == AgentInputBlock().id
+    )
+    assert input_node.input_default["value"] == ""
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_access_store_listing_graph(server: SpinTestServer):
+    """
+    Test the access of a store listing graph.
+    """
+    graph = Graph(
+        id="test_clean_graph",
+        name="Test Clean Graph",
+        description="Test graph cleaning",
+        nodes=[
+            Node(
+                id="input_node",
+                block_id=AgentInputBlock().id,
+                input_default={
+                    "name": "test_input",
+                    "value": "test value",
+                    "description": "Test input description",
+                },
+            ),
+        ],
+        links=[],
+    )
+
+    # Create graph and get model
+    create_graph = CreateGraph(graph=graph)
+    created_graph = await server.agent_server.test_create_graph(
+        create_graph, DEFAULT_USER_ID
+    )
+
+    store_submission_request = store.StoreSubmissionRequest(
+        agent_id=created_graph.id,
+        agent_version=created_graph.version,
+        slug=created_graph.id,
+        name="Test name",
+        sub_heading="Test sub heading",
+        video_url=None,
+        image_urls=[],
+        description="Test description",
+        categories=[],
+    )
+
+    # First we check the graph an not be accessed by a different user
+    with pytest.raises(fastapi.exceptions.HTTPException) as exc_info:
+        await server.agent_server.test_get_graph(
+            created_graph.id,
+            created_graph.version,
+            "3e53486c-cf57-477e-ba2a-cb02dc828e1b",
+        )
+    assert exc_info.value.status_code == 404
+    assert "Graph" in str(exc_info.value.detail)
+
+    # Now we create a store listing
+    store_listing = await server.agent_server.test_create_store_listing(
+        store_submission_request, DEFAULT_USER_ID
+    )
+
+    if isinstance(store_listing, fastapi.responses.JSONResponse):
+        assert False, "Failed to create store listing"
+
+    slv_id = (
+        store_listing.store_listing_version_id
+        if store_listing.store_listing_version_id is not None
+        else None
+    )
+
+    assert slv_id is not None
+
+    admin_user = await create_test_user(alt_user=True)
+    await server.agent_server.test_review_store_listing(
+        store.ReviewSubmissionRequest(
+            store_listing_version_id=slv_id,
+            is_approved=True,
+            comments="Test comments",
+        ),
+        autogpt_libs.auth.models.User(
+            user_id=admin_user.id,
+            role="admin",
+            email=admin_user.email,
+            phone_number="1234567890",
+        ),
+    )
+
+    # Now we check the graph can be accessed by a user that does not own the graph
+    got_graph = await server.agent_server.test_get_graph(
+        created_graph.id, created_graph.version, "3e53486c-cf57-477e-ba2a-cb02dc828e1b"
+    )
+    assert got_graph is not None
diff --git a/autogpt_platform/backend/backend/data/includes.py b/autogpt_platform/backend/backend/data/includes.py
index 0b791f502a1e..aec4f3667392 100644
--- a/autogpt_platform/backend/backend/data/includes.py
+++ b/autogpt_platform/backend/backend/data/includes.py
@@ -1,4 +1,7 @@
-import prisma
+from typing import Sequence, cast
+
+import prisma.enums
+import prisma.types
 
 AGENT_NODE_INCLUDE: prisma.types.AgentNodeInclude = {
     "Input": True,
@@ -8,27 +11,67 @@
 }
 
 AGENT_GRAPH_INCLUDE: prisma.types.AgentGraphInclude = {
-    "AgentNodes": {"include": AGENT_NODE_INCLUDE}  # type: ignore
+    "Nodes": {"include": AGENT_NODE_INCLUDE}
 }
 
+EXECUTION_RESULT_ORDER: list[prisma.types.AgentNodeExecutionOrderByInput] = [
+    {"queuedTime": "desc"},
+    # Fallback: Incomplete execs has no queuedTime.
+    {"addedTime": "desc"},
+]
+
 EXECUTION_RESULT_INCLUDE: prisma.types.AgentNodeExecutionInclude = {
-    "Input": True,
-    "Output": True,
-    "AgentNode": True,
-    "AgentGraphExecution": True,
+    "Input": {"order_by": {"time": "asc"}},
+    "Output": {"order_by": {"time": "asc"}},
+    "Node": True,
+    "GraphExecution": True,
 }
 
-GRAPH_EXECUTION_INCLUDE: prisma.types.AgentGraphExecutionInclude = {
-    "AgentNodeExecutions": {
-        "include": {
-            "Input": True,
-            "Output": True,
-            "AgentNode": True,
-            "AgentGraphExecution": True,
-        }
+MAX_NODE_EXECUTIONS_FETCH = 1000
+
+GRAPH_EXECUTION_INCLUDE_WITH_NODES: prisma.types.AgentGraphExecutionInclude = {
+    "NodeExecutions": {
+        "include": EXECUTION_RESULT_INCLUDE,
+        "order_by": EXECUTION_RESULT_ORDER,
+        "take": MAX_NODE_EXECUTIONS_FETCH,  # Avoid loading excessive node executions.
     }
 }
 
+
+def graph_execution_include(
+    include_block_ids: Sequence[str],
+) -> prisma.types.AgentGraphExecutionInclude:
+    return {
+        "NodeExecutions": {
+            **cast(
+                prisma.types.FindManyAgentNodeExecutionArgsFromAgentGraphExecution,
+                GRAPH_EXECUTION_INCLUDE_WITH_NODES["NodeExecutions"],  # type: ignore
+            ),
+            "where": {
+                "Node": {
+                    "is": {"AgentBlock": {"is": {"id": {"in": include_block_ids}}}}
+                },
+                "NOT": [
+                    {"executionStatus": prisma.enums.AgentExecutionStatus.INCOMPLETE}
+                ],
+            },
+        }
+    }
+
+
 INTEGRATION_WEBHOOK_INCLUDE: prisma.types.IntegrationWebhookInclude = {
-    "AgentNodes": {"include": AGENT_NODE_INCLUDE}  # type: ignore
+    "AgentNodes": {"include": AGENT_NODE_INCLUDE},
+    "AgentPresets": {"include": {"InputPresets": True}},
 }
+
+
+def library_agent_include(user_id: str) -> prisma.types.LibraryAgentInclude:
+    return {
+        "AgentGraph": {
+            "include": {
+                **AGENT_GRAPH_INCLUDE,
+                "Executions": {"where": {"userId": user_id}},
+            }
+        },
+        "Creator": True,
+    }
diff --git a/autogpt_platform/backend/backend/data/integrations.py b/autogpt_platform/backend/backend/data/integrations.py
index 95034d078b26..3efb96f1b35f 100644
--- a/autogpt_platform/backend/backend/data/integrations.py
+++ b/autogpt_platform/backend/backend/data/integrations.py
@@ -1,19 +1,25 @@
 import logging
-from typing import TYPE_CHECKING, AsyncGenerator, Optional
+from typing import AsyncGenerator, Literal, Optional, overload
 
-from prisma import Json
 from prisma.models import IntegrationWebhook
+from prisma.types import (
+    IntegrationWebhookCreateInput,
+    IntegrationWebhookUpdateInput,
+    IntegrationWebhookWhereInput,
+    Serializable,
+)
 from pydantic import Field, computed_field
 
+from backend.data.event_bus import AsyncRedisEventBus
 from backend.data.includes import INTEGRATION_WEBHOOK_INCLUDE
-from backend.data.queue import AsyncRedisEventBus
 from backend.integrations.providers import ProviderName
 from backend.integrations.webhooks.utils import webhook_ingress_url
+from backend.server.v2.library.model import LibraryAgentPreset
+from backend.util.exceptions import NotFoundError
+from backend.util.json import SafeJson
 
 from .db import BaseDbModel
-
-if TYPE_CHECKING:
-    from .graph import NodeModel
+from .graph import NodeModel
 
 logger = logging.getLogger(__name__)
 
@@ -30,17 +36,13 @@ class Webhook(BaseDbModel):
 
     provider_webhook_id: str
 
-    attached_nodes: Optional[list["NodeModel"]] = None
-
     @computed_field
     @property
     def url(self) -> str:
-        return webhook_ingress_url(self.provider.value, self.id)
+        return webhook_ingress_url(self.provider, self.id)
 
     @staticmethod
     def from_db(webhook: IntegrationWebhook):
-        from .graph import NodeModel
-
         return Webhook(
             id=webhook.id,
             user_id=webhook.userId,
@@ -52,11 +54,26 @@ def from_db(webhook: IntegrationWebhook):
             config=dict(webhook.config),
             secret=webhook.secret,
             provider_webhook_id=webhook.providerWebhookId,
-            attached_nodes=(
-                [NodeModel.from_db(node) for node in webhook.AgentNodes]
-                if webhook.AgentNodes is not None
-                else None
-            ),
+        )
+
+
+class WebhookWithRelations(Webhook):
+    triggered_nodes: list[NodeModel]
+    triggered_presets: list[LibraryAgentPreset]
+
+    @staticmethod
+    def from_db(webhook: IntegrationWebhook):
+        if webhook.AgentNodes is None or webhook.AgentPresets is None:
+            raise ValueError(
+                "AgentNodes and AgentPresets must be included in "
+                "IntegrationWebhook query with relations"
+            )
+        return WebhookWithRelations(
+            **Webhook.from_db(webhook).model_dump(),
+            triggered_nodes=[NodeModel.from_db(node) for node in webhook.AgentNodes],
+            triggered_presets=[
+                LibraryAgentPreset.from_db(preset) for preset in webhook.AgentPresets
+            ],
         )
 
 
@@ -65,91 +82,150 @@ def from_db(webhook: IntegrationWebhook):
 
 async def create_webhook(webhook: Webhook) -> Webhook:
     created_webhook = await IntegrationWebhook.prisma().create(
-        data={
-            "id": webhook.id,
-            "userId": webhook.user_id,
-            "provider": webhook.provider.value,
-            "credentialsId": webhook.credentials_id,
-            "webhookType": webhook.webhook_type,
-            "resource": webhook.resource,
-            "events": webhook.events,
-            "config": Json(webhook.config),
-            "secret": webhook.secret,
-            "providerWebhookId": webhook.provider_webhook_id,
-        }
+        data=IntegrationWebhookCreateInput(
+            id=webhook.id,
+            userId=webhook.user_id,
+            provider=webhook.provider.value,
+            credentialsId=webhook.credentials_id,
+            webhookType=webhook.webhook_type,
+            resource=webhook.resource,
+            events=webhook.events,
+            config=SafeJson(webhook.config),
+            secret=webhook.secret,
+            providerWebhookId=webhook.provider_webhook_id,
+        )
     )
     return Webhook.from_db(created_webhook)
 
 
-async def get_webhook(webhook_id: str) -> Webhook:
-    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
-    webhook = await IntegrationWebhook.prisma().find_unique_or_raise(
+@overload
+async def get_webhook(
+    webhook_id: str, *, include_relations: Literal[True]
+) -> WebhookWithRelations: ...
+@overload
+async def get_webhook(
+    webhook_id: str, *, include_relations: Literal[False] = False
+) -> Webhook: ...
+
+
+async def get_webhook(
+    webhook_id: str, *, include_relations: bool = False
+) -> Webhook | WebhookWithRelations:
+    """
+    ⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints.
+
+    Raises:
+        NotFoundError: if no record with the given ID exists
+    """
+    webhook = await IntegrationWebhook.prisma().find_unique(
         where={"id": webhook_id},
-        include=INTEGRATION_WEBHOOK_INCLUDE,
+        include=INTEGRATION_WEBHOOK_INCLUDE if include_relations else None,
     )
-    return Webhook.from_db(webhook)
+    if not webhook:
+        raise NotFoundError(f"Webhook #{webhook_id} not found")
+    return (WebhookWithRelations if include_relations else Webhook).from_db(webhook)
 
 
-async def get_all_webhooks_by_creds(credentials_id: str) -> list[Webhook]:
-    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
+@overload
+async def get_all_webhooks_by_creds(
+    user_id: str, credentials_id: str, *, include_relations: Literal[True]
+) -> list[WebhookWithRelations]: ...
+@overload
+async def get_all_webhooks_by_creds(
+    user_id: str, credentials_id: str, *, include_relations: Literal[False] = False
+) -> list[Webhook]: ...
+
+
+async def get_all_webhooks_by_creds(
+    user_id: str, credentials_id: str, *, include_relations: bool = False
+) -> list[Webhook] | list[WebhookWithRelations]:
     if not credentials_id:
         raise ValueError("credentials_id must not be empty")
     webhooks = await IntegrationWebhook.prisma().find_many(
-        where={"credentialsId": credentials_id},
-        include=INTEGRATION_WEBHOOK_INCLUDE,
+        where={"userId": user_id, "credentialsId": credentials_id},
+        include=INTEGRATION_WEBHOOK_INCLUDE if include_relations else None,
     )
-    return [Webhook.from_db(webhook) for webhook in webhooks]
+    return [
+        (WebhookWithRelations if include_relations else Webhook).from_db(webhook)
+        for webhook in webhooks
+    ]
 
 
 async def find_webhook_by_credentials_and_props(
-    credentials_id: str, webhook_type: str, resource: str, events: list[str]
+    user_id: str,
+    credentials_id: str,
+    webhook_type: str,
+    resource: str,
+    events: list[str],
 ) -> Webhook | None:
-    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
     webhook = await IntegrationWebhook.prisma().find_first(
         where={
+            "userId": user_id,
             "credentialsId": credentials_id,
             "webhookType": webhook_type,
             "resource": resource,
             "events": {"has_every": events},
         },
-        include=INTEGRATION_WEBHOOK_INCLUDE,
     )
     return Webhook.from_db(webhook) if webhook else None
 
 
 async def find_webhook_by_graph_and_props(
-    graph_id: str, provider: str, webhook_type: str, events: list[str]
+    user_id: str,
+    provider: str,
+    webhook_type: str,
+    graph_id: Optional[str] = None,
+    preset_id: Optional[str] = None,
 ) -> Webhook | None:
-    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
+    """Either `graph_id` or `preset_id` must be provided."""
+    where_clause: IntegrationWebhookWhereInput = {
+        "userId": user_id,
+        "provider": provider,
+        "webhookType": webhook_type,
+    }
+
+    if preset_id:
+        where_clause["AgentPresets"] = {"some": {"id": preset_id}}
+    elif graph_id:
+        where_clause["AgentNodes"] = {"some": {"agentGraphId": graph_id}}
+    else:
+        raise ValueError("Either graph_id or preset_id must be provided")
+
     webhook = await IntegrationWebhook.prisma().find_first(
-        where={
-            "provider": provider,
-            "webhookType": webhook_type,
-            "events": {"has_every": events},
-            "AgentNodes": {"some": {"agentGraphId": graph_id}},
-        },
-        include=INTEGRATION_WEBHOOK_INCLUDE,
+        where=where_clause,
     )
     return Webhook.from_db(webhook) if webhook else None
 
 
-async def update_webhook_config(webhook_id: str, updated_config: dict) -> Webhook:
+async def update_webhook(
+    webhook_id: str,
+    config: Optional[dict[str, Serializable]] = None,
+    events: Optional[list[str]] = None,
+) -> Webhook:
     """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
+    data: IntegrationWebhookUpdateInput = {}
+    if config is not None:
+        data["config"] = SafeJson(config)
+    if events is not None:
+        data["events"] = events
+    if not data:
+        raise ValueError("Empty update query")
+
     _updated_webhook = await IntegrationWebhook.prisma().update(
         where={"id": webhook_id},
-        data={"config": Json(updated_config)},
-        include=INTEGRATION_WEBHOOK_INCLUDE,
+        data=data,
     )
     if _updated_webhook is None:
-        raise ValueError(f"Webhook #{webhook_id} not found")
+        raise NotFoundError(f"Webhook #{webhook_id} not found")
     return Webhook.from_db(_updated_webhook)
 
 
-async def delete_webhook(webhook_id: str) -> None:
-    """⚠️ No `user_id` check: DO NOT USE without check in user-facing endpoints."""
-    deleted = await IntegrationWebhook.prisma().delete(where={"id": webhook_id})
-    if not deleted:
-        raise ValueError(f"Webhook #{webhook_id} not found")
+async def delete_webhook(user_id: str, webhook_id: str) -> None:
+    deleted = await IntegrationWebhook.prisma().delete_many(
+        where={"id": webhook_id, "userId": user_id}
+    )
+    if deleted < 1:
+        raise NotFoundError(f"Webhook #{webhook_id} not found")
 
 
 # --------------------- WEBHOOK EVENTS --------------------- #
diff --git a/autogpt_platform/backend/backend/data/model.py b/autogpt_platform/backend/backend/data/model.py
index 898ef1040b0c..01602ec1d458 100644
--- a/autogpt_platform/backend/backend/data/model.py
+++ b/autogpt_platform/backend/backend/data/model.py
@@ -1,6 +1,11 @@
 from __future__ import annotations
 
+import base64
+import enum
 import logging
+from collections import defaultdict
+from datetime import datetime, timezone
+from json import JSONDecodeError
 from typing import (
     TYPE_CHECKING,
     Annotated,
@@ -10,12 +15,14 @@
     Generic,
     Literal,
     Optional,
-    TypedDict,
     TypeVar,
+    cast,
     get_args,
 )
+from urllib.parse import urlparse
 from uuid import uuid4
 
+from prisma.enums import CreditTransactionType
 from pydantic import (
     BaseModel,
     ConfigDict,
@@ -31,11 +38,130 @@
     ValidationError,
     core_schema,
 )
+from typing_extensions import TypedDict
 
 from backend.integrations.providers import ProviderName
+from backend.util.json import loads as json_loads
 from backend.util.settings import Secrets
 
+# Type alias for any provider name (including custom ones)
+AnyProviderName = str  # Will be validated as ProviderName at runtime
+
+
+class User(BaseModel):
+    """Application-layer User model with snake_case convention."""
+
+    model_config = ConfigDict(
+        extra="forbid",
+        str_strip_whitespace=True,
+    )
+
+    id: str = Field(..., description="User ID")
+    email: str = Field(..., description="User email address")
+    email_verified: bool = Field(default=True, description="Whether email is verified")
+    name: Optional[str] = Field(None, description="User display name")
+    created_at: datetime = Field(..., description="When user was created")
+    updated_at: datetime = Field(..., description="When user was last updated")
+    metadata: dict[str, Any] = Field(
+        default_factory=dict, description="User metadata as dict"
+    )
+    integrations: str = Field(default="", description="Encrypted integrations data")
+    stripe_customer_id: Optional[str] = Field(None, description="Stripe customer ID")
+    top_up_config: Optional["AutoTopUpConfig"] = Field(
+        None, description="Top up configuration"
+    )
+
+    # Notification preferences
+    max_emails_per_day: int = Field(default=3, description="Maximum emails per day")
+    notify_on_agent_run: bool = Field(default=True, description="Notify on agent run")
+    notify_on_zero_balance: bool = Field(
+        default=True, description="Notify on zero balance"
+    )
+    notify_on_low_balance: bool = Field(
+        default=True, description="Notify on low balance"
+    )
+    notify_on_block_execution_failed: bool = Field(
+        default=True, description="Notify on block execution failure"
+    )
+    notify_on_continuous_agent_error: bool = Field(
+        default=True, description="Notify on continuous agent error"
+    )
+    notify_on_daily_summary: bool = Field(
+        default=True, description="Notify on daily summary"
+    )
+    notify_on_weekly_summary: bool = Field(
+        default=True, description="Notify on weekly summary"
+    )
+    notify_on_monthly_summary: bool = Field(
+        default=True, description="Notify on monthly summary"
+    )
+
+    # User timezone for scheduling and time display
+    timezone: str = Field(
+        default="not-set",
+        description="User timezone (IANA timezone identifier or 'not-set')",
+    )
+
+    @classmethod
+    def from_db(cls, prisma_user: "PrismaUser") -> "User":
+        """Convert a database User object to application User model."""
+        # Handle metadata field - convert from JSON string or dict to dict
+        metadata = {}
+        if prisma_user.metadata:
+            if isinstance(prisma_user.metadata, str):
+                try:
+                    metadata = json_loads(prisma_user.metadata)
+                except (JSONDecodeError, TypeError):
+                    metadata = {}
+            elif isinstance(prisma_user.metadata, dict):
+                metadata = prisma_user.metadata
+
+        # Handle topUpConfig field
+        top_up_config = None
+        if prisma_user.topUpConfig:
+            if isinstance(prisma_user.topUpConfig, str):
+                try:
+                    config_dict = json_loads(prisma_user.topUpConfig)
+                    top_up_config = AutoTopUpConfig.model_validate(config_dict)
+                except (JSONDecodeError, TypeError, ValueError):
+                    top_up_config = None
+            elif isinstance(prisma_user.topUpConfig, dict):
+                try:
+                    top_up_config = AutoTopUpConfig.model_validate(
+                        prisma_user.topUpConfig
+                    )
+                except ValueError:
+                    top_up_config = None
+
+        return cls(
+            id=prisma_user.id,
+            email=prisma_user.email,
+            email_verified=prisma_user.emailVerified or True,
+            name=prisma_user.name,
+            created_at=prisma_user.createdAt,
+            updated_at=prisma_user.updatedAt,
+            metadata=metadata,
+            integrations=prisma_user.integrations or "",
+            stripe_customer_id=prisma_user.stripeCustomerId,
+            top_up_config=top_up_config,
+            max_emails_per_day=prisma_user.maxEmailsPerDay or 3,
+            notify_on_agent_run=prisma_user.notifyOnAgentRun or True,
+            notify_on_zero_balance=prisma_user.notifyOnZeroBalance or True,
+            notify_on_low_balance=prisma_user.notifyOnLowBalance or True,
+            notify_on_block_execution_failed=prisma_user.notifyOnBlockExecutionFailed
+            or True,
+            notify_on_continuous_agent_error=prisma_user.notifyOnContinuousAgentError
+            or True,
+            notify_on_daily_summary=prisma_user.notifyOnDailySummary or True,
+            notify_on_weekly_summary=prisma_user.notifyOnWeeklySummary or True,
+            notify_on_monthly_summary=prisma_user.notifyOnMonthlySummary or True,
+            timezone=prisma_user.timezone or "not-set",
+        )
+
+
 if TYPE_CHECKING:
+    from prisma.models import User as PrismaUser
+
     from backend.data.block import BlockSchema
 
 T = TypeVar("T")
@@ -134,14 +260,24 @@ def SchemaField(
     title: Optional[str] = None,
     description: Optional[str] = None,
     placeholder: Optional[str] = None,
-    advanced: Optional[bool] = False,
+    advanced: Optional[bool] = None,
     secret: bool = False,
     exclude: bool = False,
     hidden: Optional[bool] = None,
-    depends_on: list[str] | None = None,
-    **kwargs,
+    depends_on: Optional[list[str]] = None,
+    ge: Optional[float] = None,
+    le: Optional[float] = None,
+    min_length: Optional[int] = None,
+    max_length: Optional[int] = None,
+    discriminator: Optional[str] = None,
+    json_schema_extra: Optional[dict[str, Any]] = None,
 ) -> T:
-    json_extra = {
+    if default is PydanticUndefined and default_factory is None:
+        advanced = False
+    elif advanced is None:
+        advanced = True
+
+    json_schema_extra = {
         k: v
         for k, v in {
             "placeholder": placeholder,
@@ -149,6 +285,7 @@ def SchemaField(
             "advanced": advanced,
             "hidden": hidden,
             "depends_on": depends_on,
+            **(json_schema_extra or {}),
         }.items()
         if v is not None
     }
@@ -160,15 +297,19 @@ def SchemaField(
         title=title,
         description=description,
         exclude=exclude,
-        json_schema_extra=json_extra,
-        **kwargs,
+        ge=ge,
+        le=le,
+        min_length=min_length,
+        max_length=max_length,
+        discriminator=discriminator,
+        json_schema_extra=json_schema_extra,
     )  # type: ignore
 
 
 class _BaseCredentials(BaseModel):
     id: str = Field(default_factory=lambda: str(uuid4()))
     provider: str
-    title: Optional[str]
+    title: Optional[str] = None
 
     @field_serializer("*")
     def dump_secret_strings(value: Any, _info):
@@ -179,59 +320,144 @@ def dump_secret_strings(value: Any, _info):
 
 class OAuth2Credentials(_BaseCredentials):
     type: Literal["oauth2"] = "oauth2"
-    username: Optional[str]
+    username: Optional[str] = None
     """Username of the third-party service user that these credentials belong to"""
     access_token: SecretStr
-    access_token_expires_at: Optional[int]
+    access_token_expires_at: Optional[int] = None
     """Unix timestamp (seconds) indicating when the access token expires (if at all)"""
-    refresh_token: Optional[SecretStr]
-    refresh_token_expires_at: Optional[int]
+    refresh_token: Optional[SecretStr] = None
+    refresh_token_expires_at: Optional[int] = None
     """Unix timestamp (seconds) indicating when the refresh token expires (if at all)"""
     scopes: list[str]
     metadata: dict[str, Any] = Field(default_factory=dict)
 
-    def bearer(self) -> str:
+    def auth_header(self) -> str:
         return f"Bearer {self.access_token.get_secret_value()}"
 
 
 class APIKeyCredentials(_BaseCredentials):
     type: Literal["api_key"] = "api_key"
     api_key: SecretStr
-    expires_at: Optional[int]
+    expires_at: Optional[int] = Field(
+        default=None,
+        description="Unix timestamp (seconds) indicating when the API key expires (if at all)",
+    )
     """Unix timestamp (seconds) indicating when the API key expires (if at all)"""
 
-    def bearer(self) -> str:
+    def auth_header(self) -> str:
         return f"Bearer {self.api_key.get_secret_value()}"
 
 
+class UserPasswordCredentials(_BaseCredentials):
+    type: Literal["user_password"] = "user_password"
+    username: SecretStr
+    password: SecretStr
+
+    def auth_header(self) -> str:
+        # Converting the string to bytes using encode()
+        # Base64 encoding it with base64.b64encode()
+        # Converting the resulting bytes back to a string with decode()
+        return f"Basic {base64.b64encode(f'{self.username.get_secret_value()}:{self.password.get_secret_value()}'.encode()).decode()}"
+
+
+class HostScopedCredentials(_BaseCredentials):
+    type: Literal["host_scoped"] = "host_scoped"
+    host: str = Field(description="The host/URI pattern to match against request URLs")
+    headers: dict[str, SecretStr] = Field(
+        description="Key-value header map to add to matching requests",
+        default_factory=dict,
+    )
+
+    def _extract_headers(self, headers: dict[str, SecretStr]) -> dict[str, str]:
+        """Helper to extract secret values from headers."""
+        return {key: value.get_secret_value() for key, value in headers.items()}
+
+    @field_serializer("headers")
+    def serialize_headers(self, headers: dict[str, SecretStr]) -> dict[str, str]:
+        """Serialize headers by extracting secret values."""
+        return self._extract_headers(headers)
+
+    def get_headers_dict(self) -> dict[str, str]:
+        """Get headers with secret values extracted."""
+        return self._extract_headers(self.headers)
+
+    def auth_header(self) -> str:
+        """Get authorization header for backward compatibility."""
+        auth_headers = self.get_headers_dict()
+        if "Authorization" in auth_headers:
+            return auth_headers["Authorization"]
+        return ""
+
+    def matches_url(self, url: str) -> bool:
+        """Check if this credential should be applied to the given URL."""
+
+        parsed_url = urlparse(url)
+        # Extract hostname without port
+        request_host = parsed_url.hostname
+        if not request_host:
+            return False
+
+        # Simple host matching - exact match or wildcard subdomain match
+        if self.host == request_host:
+            return True
+
+        # Support wildcard matching (e.g., "*.example.com" matches "api.example.com")
+        if self.host.startswith("*."):
+            domain = self.host[2:]  # Remove "*."
+            return request_host.endswith(f".{domain}") or request_host == domain
+
+        return False
+
+
 Credentials = Annotated[
-    OAuth2Credentials | APIKeyCredentials,
+    OAuth2Credentials
+    | APIKeyCredentials
+    | UserPasswordCredentials
+    | HostScopedCredentials,
     Field(discriminator="type"),
 ]
 
 
-CredentialsType = Literal["api_key", "oauth2"]
+CredentialsType = Literal["api_key", "oauth2", "user_password", "host_scoped"]
 
 
 class OAuthState(BaseModel):
     token: str
     provider: str
     expires_at: int
+    code_verifier: Optional[str] = None
     """Unix timestamp (seconds) indicating when this OAuth state expires"""
     scopes: list[str]
 
 
 class UserMetadata(BaseModel):
     integration_credentials: list[Credentials] = Field(default_factory=list)
+    """⚠️ Deprecated; use `UserIntegrations.credentials` instead"""
     integration_oauth_states: list[OAuthState] = Field(default_factory=list)
+    """⚠️ Deprecated; use `UserIntegrations.oauth_states` instead"""
 
 
 class UserMetadataRaw(TypedDict, total=False):
     integration_credentials: list[dict]
+    """⚠️ Deprecated; use `UserIntegrations.credentials` instead"""
     integration_oauth_states: list[dict]
+    """⚠️ Deprecated; use `UserIntegrations.oauth_states` instead"""
 
 
 class UserIntegrations(BaseModel):
+
+    class ManagedCredentials(BaseModel):
+        """Integration credentials managed by us, rather than by the user"""
+
+        ayrshare_profile_key: Optional[SecretStr] = None
+
+        @field_serializer("*")
+        def dump_secret_strings(value: Any, _info):
+            if isinstance(value, SecretStr):
+                return value.get_secret_value()
+            return value
+
+    managed_credentials: ManagedCredentials = Field(default_factory=ManagedCredentials)
     credentials: list[Credentials] = Field(default_factory=list)
     oauth_states: list[OAuthState] = Field(default_factory=list)
 
@@ -240,7 +466,8 @@ class UserIntegrations(BaseModel):
 CT = TypeVar("CT", bound=CredentialsType)
 
 
-CREDENTIALS_FIELD_NAME = "credentials"
+def is_credentials_field_name(field_name: str) -> bool:
+    return field_name == "credentials" or field_name.endswith("_credentials")
 
 
 class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
@@ -249,25 +476,23 @@ class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
     provider: CP
     type: CT
 
-    @staticmethod
-    def _add_json_schema_extra(schema, cls: CredentialsMetaInput):
-        schema["credentials_provider"] = get_args(
-            cls.model_fields["provider"].annotation
-        )
-        schema["credentials_types"] = get_args(cls.model_fields["type"].annotation)
+    @classmethod
+    def allowed_providers(cls) -> tuple[ProviderName, ...] | None:
+        return get_args(cls.model_fields["provider"].annotation)
 
-    model_config = ConfigDict(
-        json_schema_extra=_add_json_schema_extra,  # type: ignore
-    )
+    @classmethod
+    def allowed_cred_types(cls) -> tuple[CredentialsType, ...]:
+        return get_args(cls.model_fields["type"].annotation)
 
     @classmethod
     def validate_credentials_field_schema(cls, model: type["BlockSchema"]):
-        """Validates the schema of a `credentials` field"""
-        field_schema = model.jsonschema()["properties"][CREDENTIALS_FIELD_NAME]
+        """Validates the schema of a credentials input field"""
+        field_name = next(
+            name for name, type in model.get_credentials_fields().items() if type is cls
+        )
+        field_schema = model.jsonschema()["properties"][field_name]
         try:
-            schema_extra = _CredentialsFieldSchemaExtra[CP, CT].model_validate(
-                field_schema
-            )
+            schema_extra = CredentialsFieldInfo[CP, CT].model_validate(field_schema)
         except ValidationError as e:
             if "Field required [type=missing" not in str(e):
                 raise
@@ -277,20 +502,162 @@ def validate_credentials_field_schema(cls, model: type["BlockSchema"]):
                 f"{field_schema}"
             ) from e
 
+        providers = cls.allowed_providers()
         if (
-            len(schema_extra.credentials_provider) > 1
+            providers is not None
+            and len(providers) > 1
             and not schema_extra.discriminator
         ):
-            raise TypeError("Multi-provider CredentialsField requires discriminator!")
+            raise TypeError(
+                f"Multi-provider CredentialsField '{field_name}' "
+                "requires discriminator!"
+            )
+
+    @staticmethod
+    def _add_json_schema_extra(schema: dict, model_class: type):
+        # Use model_class for allowed_providers/cred_types
+        if hasattr(model_class, "allowed_providers") and hasattr(
+            model_class, "allowed_cred_types"
+        ):
+            allowed_providers = model_class.allowed_providers()
+            # If no specific providers (None), allow any string
+            if allowed_providers is None:
+                schema["credentials_provider"] = ["string"]  # Allow any string provider
+            else:
+                schema["credentials_provider"] = allowed_providers
+            schema["credentials_types"] = model_class.allowed_cred_types()
+        # Do not return anything, just mutate schema in place
+
+    model_config = ConfigDict(
+        json_schema_extra=_add_json_schema_extra,  # type: ignore
+    )
+
+
+def _extract_host_from_url(url: str) -> str:
+    """Extract host from URL for grouping host-scoped credentials."""
+    try:
+        parsed = urlparse(url)
+        return parsed.hostname or url
+    except Exception:
+        return ""
 
 
-class _CredentialsFieldSchemaExtra(BaseModel, Generic[CP, CT]):
+class CredentialsFieldInfo(BaseModel, Generic[CP, CT]):
     # TODO: move discrimination mechanism out of CredentialsField (frontend + backend)
-    credentials_provider: list[CP]
-    credentials_scopes: Optional[list[str]] = None
-    credentials_types: list[CT]
+    provider: frozenset[CP] = Field(..., alias="credentials_provider")
+    supported_types: frozenset[CT] = Field(..., alias="credentials_types")
+    required_scopes: Optional[frozenset[str]] = Field(None, alias="credentials_scopes")
     discriminator: Optional[str] = None
     discriminator_mapping: Optional[dict[str, CP]] = None
+    discriminator_values: set[Any] = Field(default_factory=set)
+
+    @classmethod
+    def combine(
+        cls, *fields: tuple[CredentialsFieldInfo[CP, CT], T]
+    ) -> dict[str, tuple[CredentialsFieldInfo[CP, CT], set[T]]]:
+        """
+        Combines multiple CredentialsFieldInfo objects into as few as possible.
+
+        Rules:
+        - Items can only be combined if they have the same supported credentials types
+          and the same supported providers.
+        - When combining items, the `required_scopes` of the result is a join
+          of the `required_scopes` of the original items.
+
+        Params:
+            *fields: (CredentialsFieldInfo, key) objects to group and combine
+
+        Returns:
+            A sequence of tuples containing combined CredentialsFieldInfo objects and
+            the set of keys of the respective original items that were grouped together.
+        """
+        if not fields:
+            return {}
+
+        # Group fields by their provider and supported_types
+        # For HTTP host-scoped credentials, also group by host
+        grouped_fields: defaultdict[
+            tuple[frozenset[CP], frozenset[CT]],
+            list[tuple[T, CredentialsFieldInfo[CP, CT]]],
+        ] = defaultdict(list)
+
+        for field, key in fields:
+            if field.provider == frozenset([ProviderName.HTTP]):
+                # HTTP host-scoped credentials can have different hosts that reqires different credential sets.
+                # Group by host extracted from the URL
+                providers = frozenset(
+                    [cast(CP, "http")]
+                    + [
+                        cast(CP, _extract_host_from_url(str(value)))
+                        for value in field.discriminator_values
+                    ]
+                )
+            else:
+                providers = frozenset(field.provider)
+
+            group_key = (providers, frozenset(field.supported_types))
+            grouped_fields[group_key].append((key, field))
+
+        # Combine fields within each group
+        result: dict[str, tuple[CredentialsFieldInfo[CP, CT], set[T]]] = {}
+
+        for key, group in grouped_fields.items():
+            # Start with the first field in the group
+            _, combined = group[0]
+
+            # Track the keys that were combined
+            combined_keys = {key for key, _ in group}
+
+            # Combine required_scopes from all fields in the group
+            all_scopes = set()
+            for _, field in group:
+                if field.required_scopes:
+                    all_scopes.update(field.required_scopes)
+
+            # Combine discriminator_values from all fields in the group (removing duplicates)
+            all_discriminator_values = []
+            for _, field in group:
+                for value in field.discriminator_values:
+                    if value not in all_discriminator_values:
+                        all_discriminator_values.append(value)
+
+            # Generate the key for the combined result
+            providers_key, supported_types_key = key
+            group_key = (
+                "-".join(sorted(providers_key))
+                + "_"
+                + "-".join(sorted(supported_types_key))
+                + "_credentials"
+            )
+
+            result[group_key] = (
+                CredentialsFieldInfo[CP, CT](
+                    credentials_provider=combined.provider,
+                    credentials_types=combined.supported_types,
+                    credentials_scopes=frozenset(all_scopes) or None,
+                    discriminator=combined.discriminator,
+                    discriminator_mapping=combined.discriminator_mapping,
+                    discriminator_values=set(all_discriminator_values),
+                ),
+                combined_keys,
+            )
+
+        return result
+
+    def discriminate(self, discriminator_value: Any) -> CredentialsFieldInfo:
+        if not (self.discriminator and self.discriminator_mapping):
+            return self
+
+        return CredentialsFieldInfo(
+            credentials_provider=frozenset(
+                [self.discriminator_mapping[discriminator_value]]
+            ),
+            credentials_types=self.supported_types,
+            credentials_scopes=self.required_scopes,
+            discriminator=self.discriminator,
+            discriminator_mapping=self.discriminator_mapping,
+            discriminator_values=self.discriminator_values,
+        )
 
 
 def CredentialsField(
@@ -298,6 +665,7 @@ def CredentialsField(
     *,
     discriminator: Optional[str] = None,
     discriminator_mapping: Optional[dict[str, Any]] = None,
+    discriminator_values: Optional[set[Any]] = None,
     title: Optional[str] = None,
     description: Optional[str] = None,
     **kwargs,
@@ -313,10 +681,16 @@ def CredentialsField(
             "credentials_scopes": list(required_scopes) or None,
             "discriminator": discriminator,
             "discriminator_mapping": discriminator_mapping,
+            "discriminator_values": discriminator_values,
         }.items()
         if v is not None
     }
 
+    # Merge any json_schema_extra passed in kwargs
+    if "json_schema_extra" in kwargs:
+        extra_schema = kwargs.pop("json_schema_extra")
+        field_schema_extra.update(extra_schema)
+
     return Field(
         title=title,
         description=description,
@@ -327,3 +701,148 @@ def CredentialsField(
 
 class ContributorDetails(BaseModel):
     name: str = Field(title="Name", description="The name of the contributor.")
+
+
+class TopUpType(enum.Enum):
+    AUTO = "AUTO"
+    MANUAL = "MANUAL"
+    UNCATEGORIZED = "UNCATEGORIZED"
+
+
+class AutoTopUpConfig(BaseModel):
+    amount: int
+    """Amount of credits to top up."""
+    threshold: int
+    """Threshold to trigger auto top up."""
+
+
+class UserTransaction(BaseModel):
+    transaction_key: str = ""
+    transaction_time: datetime = datetime.min.replace(tzinfo=timezone.utc)
+    transaction_type: CreditTransactionType = CreditTransactionType.USAGE
+    amount: int = 0
+    running_balance: int = 0
+    current_balance: int = 0
+    description: str | None = None
+    usage_graph_id: str | None = None
+    usage_execution_id: str | None = None
+    usage_node_count: int = 0
+    usage_start_time: datetime = datetime.max.replace(tzinfo=timezone.utc)
+    user_id: str
+    user_email: str | None = None
+    reason: str | None = None
+    admin_email: str | None = None
+    extra_data: str | None = None
+
+
+class TransactionHistory(BaseModel):
+    transactions: list[UserTransaction]
+    next_transaction_time: datetime | None
+
+
+class RefundRequest(BaseModel):
+    id: str
+    user_id: str
+    transaction_key: str
+    amount: int
+    reason: str
+    result: str | None = None
+    status: str
+    created_at: datetime
+    updated_at: datetime
+
+
+class NodeExecutionStats(BaseModel):
+    """Execution statistics for a node execution."""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+    )
+
+    error: Optional[BaseException | str] = None
+    walltime: float = 0
+    cputime: float = 0
+    input_size: int = 0
+    output_size: int = 0
+    llm_call_count: int = 0
+    llm_retry_count: int = 0
+    input_token_count: int = 0
+    output_token_count: int = 0
+    extra_cost: int = 0
+    extra_steps: int = 0
+    # Moderation fields
+    cleared_inputs: Optional[dict[str, list[str]]] = None
+    cleared_outputs: Optional[dict[str, list[str]]] = None
+
+    def __iadd__(self, other: "NodeExecutionStats") -> "NodeExecutionStats":
+        """Mutate this instance by adding another NodeExecutionStats."""
+        if not isinstance(other, NodeExecutionStats):
+            return NotImplemented
+
+        stats_dict = other.model_dump()
+        current_stats = self.model_dump()
+
+        for key, value in stats_dict.items():
+            if key not in current_stats:
+                # Field doesn't exist yet, just set it
+                setattr(self, key, value)
+            elif isinstance(value, dict) and isinstance(current_stats[key], dict):
+                current_stats[key].update(value)
+                setattr(self, key, current_stats[key])
+            elif isinstance(value, (int, float)) and isinstance(
+                current_stats[key], (int, float)
+            ):
+                setattr(self, key, current_stats[key] + value)
+            elif isinstance(value, list) and isinstance(current_stats[key], list):
+                current_stats[key].extend(value)
+                setattr(self, key, current_stats[key])
+            else:
+                setattr(self, key, value)
+
+        return self
+
+
+class GraphExecutionStats(BaseModel):
+    """Execution statistics for a graph execution."""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+    )
+
+    error: Optional[Exception | str] = None
+    walltime: float = Field(
+        default=0, description="Time between start and end of run (seconds)"
+    )
+    cputime: float = 0
+    nodes_walltime: float = Field(
+        default=0, description="Total node execution time (seconds)"
+    )
+    nodes_cputime: float = 0
+    node_count: int = Field(default=0, description="Total number of node executions")
+    node_error_count: int = Field(
+        default=0, description="Total number of errors generated"
+    )
+    cost: int = Field(default=0, description="Total execution cost (cents)")
+    activity_status: Optional[str] = Field(
+        default=None, description="AI-generated summary of what the agent did"
+    )
+
+
+class UserExecutionSummaryStats(BaseModel):
+    """Summary of user statistics for a specific user."""
+
+    model_config = ConfigDict(
+        extra="allow",
+        arbitrary_types_allowed=True,
+    )
+
+    total_credits_used: float = Field(default=0)
+    total_executions: int = Field(default=0)
+    successful_runs: int = Field(default=0)
+    failed_runs: int = Field(default=0)
+    most_used_agent: str = Field(default="")
+    total_execution_time: float = Field(default=0)
+    average_execution_time: float = Field(default=0)
+    cost_breakdown: dict[str, float] = Field(default_factory=dict)
diff --git a/autogpt_platform/backend/backend/data/model_test.py b/autogpt_platform/backend/backend/data/model_test.py
new file mode 100644
index 000000000000..37ec6be82f8a
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/model_test.py
@@ -0,0 +1,143 @@
+import pytest
+from pydantic import SecretStr
+
+from backend.data.model import HostScopedCredentials
+
+
+class TestHostScopedCredentials:
+    def test_host_scoped_credentials_creation(self):
+        """Test creating HostScopedCredentials with required fields."""
+        creds = HostScopedCredentials(
+            provider="custom",
+            host="api.example.com",
+            headers={
+                "Authorization": SecretStr("Bearer secret-token"),
+                "X-API-Key": SecretStr("api-key-123"),
+            },
+            title="Example API Credentials",
+        )
+
+        assert creds.type == "host_scoped"
+        assert creds.provider == "custom"
+        assert creds.host == "api.example.com"
+        assert creds.title == "Example API Credentials"
+        assert len(creds.headers) == 2
+        assert "Authorization" in creds.headers
+        assert "X-API-Key" in creds.headers
+
+    def test_get_headers_dict(self):
+        """Test getting headers with secret values extracted."""
+        creds = HostScopedCredentials(
+            provider="custom",
+            host="api.example.com",
+            headers={
+                "Authorization": SecretStr("Bearer secret-token"),
+                "X-Custom-Header": SecretStr("custom-value"),
+            },
+        )
+
+        headers_dict = creds.get_headers_dict()
+
+        assert headers_dict == {
+            "Authorization": "Bearer secret-token",
+            "X-Custom-Header": "custom-value",
+        }
+
+    def test_matches_url_exact_host(self):
+        """Test URL matching with exact host match."""
+        creds = HostScopedCredentials(
+            provider="custom",
+            host="api.example.com",
+            headers={"Authorization": SecretStr("Bearer token")},
+        )
+
+        assert creds.matches_url("https://api.example.com/v1/data")
+        assert creds.matches_url("http://api.example.com/endpoint")
+        assert not creds.matches_url("https://other.example.com/v1/data")
+        assert not creds.matches_url("https://subdomain.api.example.com/v1/data")
+
+    def test_matches_url_wildcard_subdomain(self):
+        """Test URL matching with wildcard subdomain pattern."""
+        creds = HostScopedCredentials(
+            provider="custom",
+            host="*.example.com",
+            headers={"Authorization": SecretStr("Bearer token")},
+        )
+
+        assert creds.matches_url("https://api.example.com/v1/data")
+        assert creds.matches_url("https://subdomain.example.com/endpoint")
+        assert creds.matches_url("https://deep.nested.example.com/path")
+        assert creds.matches_url("https://example.com/path")  # Base domain should match
+        assert not creds.matches_url("https://example.org/v1/data")
+        assert not creds.matches_url("https://notexample.com/v1/data")
+
+    def test_matches_url_with_port_and_path(self):
+        """Test URL matching with ports and paths."""
+        creds = HostScopedCredentials(
+            provider="custom",
+            host="localhost",
+            headers={"Authorization": SecretStr("Bearer token")},
+        )
+
+        assert creds.matches_url("http://localhost:8080/api/v1")
+        assert creds.matches_url("https://localhost:443/secure/endpoint")
+        assert creds.matches_url("http://localhost/simple")
+
+    def test_empty_headers_dict(self):
+        """Test HostScopedCredentials with empty headers."""
+        creds = HostScopedCredentials(
+            provider="custom", host="api.example.com", headers={}
+        )
+
+        assert creds.get_headers_dict() == {}
+        assert creds.matches_url("https://api.example.com/test")
+
+    def test_credential_serialization(self):
+        """Test that credentials can be serialized/deserialized properly."""
+        original_creds = HostScopedCredentials(
+            provider="custom",
+            host="api.example.com",
+            headers={
+                "Authorization": SecretStr("Bearer secret-token"),
+                "X-API-Key": SecretStr("api-key-123"),
+            },
+            title="Test Credentials",
+        )
+
+        # Serialize to dict (simulating storage)
+        serialized = original_creds.model_dump()
+
+        # Deserialize back
+        restored_creds = HostScopedCredentials.model_validate(serialized)
+
+        assert restored_creds.id == original_creds.id
+        assert restored_creds.provider == original_creds.provider
+        assert restored_creds.host == original_creds.host
+        assert restored_creds.title == original_creds.title
+        assert restored_creds.type == "host_scoped"
+
+        # Check that headers are properly restored
+        assert restored_creds.get_headers_dict() == original_creds.get_headers_dict()
+
+    @pytest.mark.parametrize(
+        "host,test_url,expected",
+        [
+            ("api.example.com", "https://api.example.com/test", True),
+            ("api.example.com", "https://different.example.com/test", False),
+            ("*.example.com", "https://api.example.com/test", True),
+            ("*.example.com", "https://sub.api.example.com/test", True),
+            ("*.example.com", "https://example.com/test", True),
+            ("*.example.com", "https://example.org/test", False),
+            ("localhost", "http://localhost:3000/test", True),
+            ("localhost", "http://127.0.0.1:3000/test", False),
+        ],
+    )
+    def test_url_matching_parametrized(self, host: str, test_url: str, expected: bool):
+        """Parametrized test for various URL matching scenarios."""
+        creds = HostScopedCredentials(
+            provider="test",
+            host=host,
+            headers={"Authorization": SecretStr("Bearer token")},
+        )
+
+        assert creds.matches_url(test_url) == expected
diff --git a/autogpt_platform/backend/backend/data/notifications.py b/autogpt_platform/backend/backend/data/notifications.py
new file mode 100644
index 000000000000..0be2fada98f5
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/notifications.py
@@ -0,0 +1,577 @@
+import logging
+from datetime import datetime, timedelta, timezone
+from enum import Enum
+from typing import Annotated, Any, Generic, Optional, TypeVar, Union
+
+from prisma import Json
+from prisma.enums import NotificationType
+from prisma.models import NotificationEvent, UserNotificationBatch
+from prisma.types import (
+    NotificationEventCreateInput,
+    UserNotificationBatchCreateInput,
+    UserNotificationBatchWhereInput,
+)
+
+# from backend.notifications.models import NotificationEvent
+from pydantic import BaseModel, ConfigDict, EmailStr, Field, field_validator
+
+from backend.server.v2.store.exceptions import DatabaseError
+from backend.util.json import SafeJson
+from backend.util.logging import TruncatedLogger
+
+from .db import transaction
+
+logger = TruncatedLogger(logging.getLogger(__name__), prefix="[NotificationService]")
+
+
+NotificationDataType_co = TypeVar(
+    "NotificationDataType_co", bound="BaseNotificationData", covariant=True
+)
+SummaryParamsType_co = TypeVar(
+    "SummaryParamsType_co", bound="BaseSummaryParams", covariant=True
+)
+
+
+class QueueType(Enum):
+    IMMEDIATE = "immediate"  # Send right away (errors, critical notifications)
+    BATCH = "batch"  # Batch for up to an hour (usage reports)
+    SUMMARY = "summary"  # Daily digest (summary notifications)
+    BACKOFF = "backoff"  # Backoff strategy (exponential backoff)
+    ADMIN = "admin"  # Admin notifications (errors, critical notifications)
+
+
+class BaseNotificationData(BaseModel):
+    model_config = ConfigDict(extra="allow")
+
+
+class AgentRunData(BaseNotificationData):
+    agent_name: str
+    credits_used: float
+    execution_time: float
+    node_count: int = Field(..., description="Number of nodes executed")
+    graph_id: str
+    outputs: list[dict[str, Any]] = Field(..., description="Outputs of the agent")
+
+
+class ZeroBalanceData(BaseNotificationData):
+    agent_name: str = Field(..., description="Name of the agent")
+    current_balance: float = Field(
+        ..., description="Current balance in credits (100 = $1)"
+    )
+    billing_page_link: str = Field(..., description="Link to billing page")
+    shortfall: float = Field(..., description="Amount of credits needed to continue")
+
+
+class LowBalanceData(BaseNotificationData):
+    current_balance: float = Field(
+        ..., description="Current balance in credits (100 = $1)"
+    )
+    billing_page_link: str = Field(..., description="Link to billing page")
+
+
+class BlockExecutionFailedData(BaseNotificationData):
+    block_name: str
+    block_id: str
+    error_message: str
+    graph_id: str
+    node_id: str
+    execution_id: str
+
+
+class ContinuousAgentErrorData(BaseNotificationData):
+    agent_name: str
+    error_message: str
+    graph_id: str
+    execution_id: str
+    start_time: datetime
+    error_time: datetime
+    attempts: int = Field(..., description="Number of retry attempts made")
+
+    @field_validator("start_time", "error_time")
+    @classmethod
+    def validate_timezone(cls, value: datetime):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class BaseSummaryData(BaseNotificationData):
+    total_credits_used: float
+    total_executions: int
+    most_used_agent: str
+    total_execution_time: float
+    successful_runs: int
+    failed_runs: int
+    average_execution_time: float
+    cost_breakdown: dict[str, float]
+
+
+class BaseSummaryParams(BaseModel):
+    start_date: datetime
+    end_date: datetime
+
+    @field_validator("start_date", "end_date")
+    def validate_timezone(cls, value):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class DailySummaryParams(BaseSummaryParams):
+    date: datetime
+
+    @field_validator("date")
+    def validate_timezone(cls, value):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class WeeklySummaryParams(BaseSummaryParams):
+    start_date: datetime
+    end_date: datetime
+
+    @field_validator("start_date", "end_date")
+    def validate_timezone(cls, value):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class DailySummaryData(BaseSummaryData):
+    date: datetime
+
+    @field_validator("date")
+    def validate_timezone(cls, value):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class WeeklySummaryData(BaseSummaryData):
+    start_date: datetime
+    end_date: datetime
+
+    @field_validator("start_date", "end_date")
+    def validate_timezone(cls, value):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class MonthlySummaryData(BaseNotificationData):
+    month: int
+    year: int
+
+
+class RefundRequestData(BaseNotificationData):
+    user_id: str
+    user_name: str
+    user_email: str
+    transaction_id: str
+    refund_request_id: str
+    reason: str
+    amount: float
+    balance: int
+
+
+class AgentApprovalData(BaseNotificationData):
+    agent_name: str
+    agent_id: str
+    agent_version: int
+    reviewer_name: str
+    reviewer_email: str
+    comments: str
+    reviewed_at: datetime
+    store_url: str
+
+    @field_validator("reviewed_at")
+    @classmethod
+    def validate_timezone(cls, value: datetime):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+class AgentRejectionData(BaseNotificationData):
+    agent_name: str
+    agent_id: str
+    agent_version: int
+    reviewer_name: str
+    reviewer_email: str
+    comments: str
+    reviewed_at: datetime
+    resubmit_url: str
+
+    @field_validator("reviewed_at")
+    @classmethod
+    def validate_timezone(cls, value: datetime):
+        if value.tzinfo is None:
+            raise ValueError("datetime must have timezone information")
+        return value
+
+
+NotificationData = Annotated[
+    Union[
+        AgentRunData,
+        ZeroBalanceData,
+        LowBalanceData,
+        BlockExecutionFailedData,
+        ContinuousAgentErrorData,
+        MonthlySummaryData,
+        WeeklySummaryData,
+        DailySummaryData,
+        RefundRequestData,
+        BaseSummaryData,
+    ],
+    Field(discriminator="type"),
+]
+
+
+class BaseEventModel(BaseModel):
+    type: NotificationType
+    user_id: str
+    created_at: datetime = Field(default_factory=lambda: datetime.now(tz=timezone.utc))
+
+
+class NotificationEventModel(BaseEventModel, Generic[NotificationDataType_co]):
+    data: NotificationDataType_co
+
+    @property
+    def strategy(self) -> QueueType:
+        return NotificationTypeOverride(self.type).strategy
+
+    @field_validator("type", mode="before")
+    def uppercase_type(cls, v):
+        if isinstance(v, str):
+            return v.upper()
+        return v
+
+    @property
+    def template(self) -> str:
+        return NotificationTypeOverride(self.type).template
+
+
+class SummaryParamsEventModel(BaseEventModel, Generic[SummaryParamsType_co]):
+    data: SummaryParamsType_co
+
+
+def get_notif_data_type(
+    notification_type: NotificationType,
+) -> type[BaseNotificationData]:
+    return {
+        NotificationType.AGENT_RUN: AgentRunData,
+        NotificationType.ZERO_BALANCE: ZeroBalanceData,
+        NotificationType.LOW_BALANCE: LowBalanceData,
+        NotificationType.BLOCK_EXECUTION_FAILED: BlockExecutionFailedData,
+        NotificationType.CONTINUOUS_AGENT_ERROR: ContinuousAgentErrorData,
+        NotificationType.DAILY_SUMMARY: DailySummaryData,
+        NotificationType.WEEKLY_SUMMARY: WeeklySummaryData,
+        NotificationType.MONTHLY_SUMMARY: MonthlySummaryData,
+        NotificationType.REFUND_REQUEST: RefundRequestData,
+        NotificationType.REFUND_PROCESSED: RefundRequestData,
+        NotificationType.AGENT_APPROVED: AgentApprovalData,
+        NotificationType.AGENT_REJECTED: AgentRejectionData,
+    }[notification_type]
+
+
+def get_summary_params_type(
+    notification_type: NotificationType,
+) -> type[BaseSummaryParams]:
+    return {
+        NotificationType.DAILY_SUMMARY: DailySummaryParams,
+        NotificationType.WEEKLY_SUMMARY: WeeklySummaryParams,
+    }[notification_type]
+
+
+class NotificationBatch(BaseModel):
+    user_id: str
+    events: list[NotificationEvent]
+    strategy: QueueType
+    last_update: datetime = Field(default_factory=lambda: datetime.now(tz=timezone.utc))
+
+
+class NotificationResult(BaseModel):
+    success: bool
+    message: Optional[str] = None
+
+
+class NotificationTypeOverride:
+    def __init__(self, notification_type: NotificationType):
+        self.notification_type = notification_type
+
+    @property
+    def strategy(self) -> QueueType:
+        BATCHING_RULES = {
+            # These are batched by the notification service
+            NotificationType.AGENT_RUN: QueueType.BATCH,
+            # These are batched by the notification service, but with a backoff strategy
+            NotificationType.ZERO_BALANCE: QueueType.IMMEDIATE,
+            NotificationType.LOW_BALANCE: QueueType.IMMEDIATE,
+            NotificationType.BLOCK_EXECUTION_FAILED: QueueType.BACKOFF,
+            NotificationType.CONTINUOUS_AGENT_ERROR: QueueType.BACKOFF,
+            NotificationType.DAILY_SUMMARY: QueueType.SUMMARY,
+            NotificationType.WEEKLY_SUMMARY: QueueType.SUMMARY,
+            NotificationType.MONTHLY_SUMMARY: QueueType.SUMMARY,
+            NotificationType.REFUND_REQUEST: QueueType.ADMIN,
+            NotificationType.REFUND_PROCESSED: QueueType.ADMIN,
+            NotificationType.AGENT_APPROVED: QueueType.IMMEDIATE,
+            NotificationType.AGENT_REJECTED: QueueType.IMMEDIATE,
+        }
+        return BATCHING_RULES.get(self.notification_type, QueueType.IMMEDIATE)
+
+    @property
+    def template(self) -> str:
+        """Returns template name for this notification type"""
+        return {
+            NotificationType.AGENT_RUN: "agent_run.html",
+            NotificationType.ZERO_BALANCE: "zero_balance.html",
+            NotificationType.LOW_BALANCE: "low_balance.html",
+            NotificationType.BLOCK_EXECUTION_FAILED: "block_failed.html",
+            NotificationType.CONTINUOUS_AGENT_ERROR: "agent_error.html",
+            NotificationType.DAILY_SUMMARY: "daily_summary.html",
+            NotificationType.WEEKLY_SUMMARY: "weekly_summary.html",
+            NotificationType.MONTHLY_SUMMARY: "monthly_summary.html",
+            NotificationType.REFUND_REQUEST: "refund_request.html",
+            NotificationType.REFUND_PROCESSED: "refund_processed.html",
+            NotificationType.AGENT_APPROVED: "agent_approved.html",
+            NotificationType.AGENT_REJECTED: "agent_rejected.html",
+        }[self.notification_type]
+
+    @property
+    def subject(self) -> str:
+        return {
+            NotificationType.AGENT_RUN: "Agent Run Report",
+            NotificationType.ZERO_BALANCE: "You're out of credits!",
+            NotificationType.LOW_BALANCE: "Low Balance Warning!",
+            NotificationType.BLOCK_EXECUTION_FAILED: "Uh oh! Block Execution Failed",
+            NotificationType.CONTINUOUS_AGENT_ERROR: "Shoot! Continuous Agent Error",
+            NotificationType.DAILY_SUMMARY: "Here's your daily summary!",
+            NotificationType.WEEKLY_SUMMARY: "Look at all the cool stuff you did last week!",
+            NotificationType.MONTHLY_SUMMARY: "We did a lot this month!",
+            NotificationType.REFUND_REQUEST: "[ACTION REQUIRED] You got a ${{data.amount / 100}} refund request from {{data.user_name}}",
+            NotificationType.REFUND_PROCESSED: "Refund for ${{data.amount / 100}} to {{data.user_name}} has been processed",
+            NotificationType.AGENT_APPROVED: "🎉 Your agent '{{data.agent_name}}' has been approved!",
+            NotificationType.AGENT_REJECTED: "Your agent '{{data.agent_name}}' needs some updates",
+        }[self.notification_type]
+
+
+class NotificationPreferenceDTO(BaseModel):
+    email: EmailStr = Field(..., description="User's email address")
+    preferences: dict[NotificationType, bool] = Field(
+        ..., description="Which notifications the user wants"
+    )
+    daily_limit: int = Field(..., description="Max emails per day")
+
+
+class NotificationPreference(BaseModel):
+    user_id: str
+    email: EmailStr
+    preferences: dict[NotificationType, bool] = Field(
+        default_factory=dict, description="Which notifications the user wants"
+    )
+    daily_limit: int = 10  # Max emails per day
+    emails_sent_today: int = 0
+    last_reset_date: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc)
+    )
+
+
+class UserNotificationEventDTO(BaseModel):
+    type: NotificationType
+    data: dict
+    created_at: datetime
+    updated_at: datetime
+
+    @staticmethod
+    def from_db(model: NotificationEvent) -> "UserNotificationEventDTO":
+        return UserNotificationEventDTO(
+            type=model.type,
+            data=dict(model.data),
+            created_at=model.createdAt,
+            updated_at=model.updatedAt,
+        )
+
+
+class UserNotificationBatchDTO(BaseModel):
+    user_id: str
+    type: NotificationType
+    notifications: list[UserNotificationEventDTO]
+    created_at: datetime
+    updated_at: datetime
+
+    @staticmethod
+    def from_db(model: UserNotificationBatch) -> "UserNotificationBatchDTO":
+        return UserNotificationBatchDTO(
+            user_id=model.userId,
+            type=model.type,
+            notifications=[
+                UserNotificationEventDTO.from_db(notification)
+                for notification in model.Notifications or []
+            ],
+            created_at=model.createdAt,
+            updated_at=model.updatedAt,
+        )
+
+
+def get_batch_delay(notification_type: NotificationType) -> timedelta:
+    return {
+        NotificationType.AGENT_RUN: timedelta(days=1),
+        NotificationType.ZERO_BALANCE: timedelta(minutes=60),
+        NotificationType.LOW_BALANCE: timedelta(minutes=60),
+        NotificationType.BLOCK_EXECUTION_FAILED: timedelta(minutes=60),
+        NotificationType.CONTINUOUS_AGENT_ERROR: timedelta(minutes=60),
+    }[notification_type]
+
+
+async def create_or_add_to_user_notification_batch(
+    user_id: str,
+    notification_type: NotificationType,
+    notification_data: NotificationEventModel,
+) -> UserNotificationBatchDTO:
+    try:
+        if not notification_data.data:
+            raise ValueError("Notification data must be provided")
+
+        # Serialize the data
+        json_data: Json = SafeJson(notification_data.data.model_dump())
+
+        # First try to find existing batch
+        existing_batch = await UserNotificationBatch.prisma().find_unique(
+            where={
+                "userId_type": {
+                    "userId": user_id,
+                    "type": notification_type,
+                }
+            },
+            include={"Notifications": True},
+        )
+
+        if not existing_batch:
+            resp = await UserNotificationBatch.prisma().create(
+                data=UserNotificationBatchCreateInput(
+                    userId=user_id,
+                    type=notification_type,
+                    Notifications={
+                        "create": [
+                            NotificationEventCreateInput(
+                                type=notification_type,
+                                data=json_data,
+                            )
+                        ]
+                    },
+                ),
+                include={"Notifications": True},
+            )
+            return UserNotificationBatchDTO.from_db(resp)
+        else:
+            resp = await UserNotificationBatch.prisma().update(
+                where={"id": existing_batch.id},
+                data={
+                    "Notifications": {
+                        "create": [
+                            NotificationEventCreateInput(
+                                type=notification_type,
+                                data=json_data,
+                            )
+                        ]
+                    }
+                },
+                include={"Notifications": True},
+            )
+            if not resp:
+                raise DatabaseError(
+                    f"Failed to add notification event to existing batch {existing_batch.id}"
+                )
+            return UserNotificationBatchDTO.from_db(resp)
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to create or add to notification batch for user {user_id} and type {notification_type}: {e}"
+        ) from e
+
+
+async def get_user_notification_oldest_message_in_batch(
+    user_id: str,
+    notification_type: NotificationType,
+) -> UserNotificationEventDTO | None:
+    try:
+        batch = await UserNotificationBatch.prisma().find_first(
+            where={"userId": user_id, "type": notification_type},
+            include={"Notifications": True},
+        )
+        if not batch:
+            return None
+        if not batch.Notifications:
+            return None
+        sorted_notifications = sorted(batch.Notifications, key=lambda x: x.createdAt)
+
+        return (
+            UserNotificationEventDTO.from_db(sorted_notifications[0])
+            if sorted_notifications
+            else None
+        )
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to get user notification last message in batch for user {user_id} and type {notification_type}: {e}"
+        ) from e
+
+
+async def empty_user_notification_batch(
+    user_id: str, notification_type: NotificationType
+) -> None:
+    try:
+        async with transaction() as tx:
+            await tx.notificationevent.delete_many(
+                where={
+                    "UserNotificationBatch": {
+                        "is": {"userId": user_id, "type": notification_type}
+                    }
+                }
+            )
+
+            await tx.usernotificationbatch.delete_many(
+                where=UserNotificationBatchWhereInput(
+                    userId=user_id,
+                    type=notification_type,
+                )
+            )
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to empty user notification batch for user {user_id} and type {notification_type}: {e}"
+        ) from e
+
+
+async def get_user_notification_batch(
+    user_id: str,
+    notification_type: NotificationType,
+) -> UserNotificationBatchDTO | None:
+    try:
+        batch = await UserNotificationBatch.prisma().find_first(
+            where={"userId": user_id, "type": notification_type},
+            include={"Notifications": True},
+        )
+        return UserNotificationBatchDTO.from_db(batch) if batch else None
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to get user notification batch for user {user_id} and type {notification_type}: {e}"
+        ) from e
+
+
+async def get_all_batches_by_type(
+    notification_type: NotificationType,
+) -> list[UserNotificationBatchDTO]:
+    try:
+        batches = await UserNotificationBatch.prisma().find_many(
+            where={
+                "type": notification_type,
+                "Notifications": {
+                    "some": {}  # Only return batches with at least one notification
+                },
+            },
+            include={"Notifications": True},
+        )
+        return [UserNotificationBatchDTO.from_db(batch) for batch in batches]
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to get all batches by type {notification_type}: {e}"
+        ) from e
diff --git a/autogpt_platform/backend/backend/data/notifications_test.py b/autogpt_platform/backend/backend/data/notifications_test.py
new file mode 100644
index 000000000000..bdbf64401eb1
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/notifications_test.py
@@ -0,0 +1,151 @@
+"""Tests for notification data models."""
+
+from datetime import datetime, timezone
+
+import pytest
+from pydantic import ValidationError
+
+from backend.data.notifications import AgentApprovalData, AgentRejectionData
+
+
+class TestAgentApprovalData:
+    """Test cases for AgentApprovalData model."""
+
+    def test_valid_agent_approval_data(self):
+        """Test creating valid AgentApprovalData."""
+        data = AgentApprovalData(
+            agent_name="Test Agent",
+            agent_id="test-agent-123",
+            agent_version=1,
+            reviewer_name="John Doe",
+            reviewer_email="john@example.com",
+            comments="Great agent, approved!",
+            reviewed_at=datetime.now(timezone.utc),
+            store_url="https://app.autogpt.com/store/test-agent-123",
+        )
+
+        assert data.agent_name == "Test Agent"
+        assert data.agent_id == "test-agent-123"
+        assert data.agent_version == 1
+        assert data.reviewer_name == "John Doe"
+        assert data.reviewer_email == "john@example.com"
+        assert data.comments == "Great agent, approved!"
+        assert data.store_url == "https://app.autogpt.com/store/test-agent-123"
+        assert data.reviewed_at.tzinfo is not None
+
+    def test_agent_approval_data_without_timezone_raises_error(self):
+        """Test that AgentApprovalData raises error without timezone."""
+        with pytest.raises(
+            ValidationError, match="datetime must have timezone information"
+        ):
+            AgentApprovalData(
+                agent_name="Test Agent",
+                agent_id="test-agent-123",
+                agent_version=1,
+                reviewer_name="John Doe",
+                reviewer_email="john@example.com",
+                comments="Great agent, approved!",
+                reviewed_at=datetime.now(),  # No timezone
+                store_url="https://app.autogpt.com/store/test-agent-123",
+            )
+
+    def test_agent_approval_data_with_empty_comments(self):
+        """Test AgentApprovalData with empty comments."""
+        data = AgentApprovalData(
+            agent_name="Test Agent",
+            agent_id="test-agent-123",
+            agent_version=1,
+            reviewer_name="John Doe",
+            reviewer_email="john@example.com",
+            comments="",  # Empty comments
+            reviewed_at=datetime.now(timezone.utc),
+            store_url="https://app.autogpt.com/store/test-agent-123",
+        )
+
+        assert data.comments == ""
+
+
+class TestAgentRejectionData:
+    """Test cases for AgentRejectionData model."""
+
+    def test_valid_agent_rejection_data(self):
+        """Test creating valid AgentRejectionData."""
+        data = AgentRejectionData(
+            agent_name="Test Agent",
+            agent_id="test-agent-123",
+            agent_version=1,
+            reviewer_name="Jane Doe",
+            reviewer_email="jane@example.com",
+            comments="Please fix the security issues before resubmitting.",
+            reviewed_at=datetime.now(timezone.utc),
+            resubmit_url="https://app.autogpt.com/build/test-agent-123",
+        )
+
+        assert data.agent_name == "Test Agent"
+        assert data.agent_id == "test-agent-123"
+        assert data.agent_version == 1
+        assert data.reviewer_name == "Jane Doe"
+        assert data.reviewer_email == "jane@example.com"
+        assert data.comments == "Please fix the security issues before resubmitting."
+        assert data.resubmit_url == "https://app.autogpt.com/build/test-agent-123"
+        assert data.reviewed_at.tzinfo is not None
+
+    def test_agent_rejection_data_without_timezone_raises_error(self):
+        """Test that AgentRejectionData raises error without timezone."""
+        with pytest.raises(
+            ValidationError, match="datetime must have timezone information"
+        ):
+            AgentRejectionData(
+                agent_name="Test Agent",
+                agent_id="test-agent-123",
+                agent_version=1,
+                reviewer_name="Jane Doe",
+                reviewer_email="jane@example.com",
+                comments="Please fix the security issues.",
+                reviewed_at=datetime.now(),  # No timezone
+                resubmit_url="https://app.autogpt.com/build/test-agent-123",
+            )
+
+    def test_agent_rejection_data_with_long_comments(self):
+        """Test AgentRejectionData with long comments."""
+        long_comment = "A" * 1000  # Very long comment
+        data = AgentRejectionData(
+            agent_name="Test Agent",
+            agent_id="test-agent-123",
+            agent_version=1,
+            reviewer_name="Jane Doe",
+            reviewer_email="jane@example.com",
+            comments=long_comment,
+            reviewed_at=datetime.now(timezone.utc),
+            resubmit_url="https://app.autogpt.com/build/test-agent-123",
+        )
+
+        assert data.comments == long_comment
+
+    def test_model_serialization(self):
+        """Test that models can be serialized and deserialized."""
+        original_data = AgentRejectionData(
+            agent_name="Test Agent",
+            agent_id="test-agent-123",
+            agent_version=1,
+            reviewer_name="Jane Doe",
+            reviewer_email="jane@example.com",
+            comments="Please fix the issues.",
+            reviewed_at=datetime.now(timezone.utc),
+            resubmit_url="https://app.autogpt.com/build/test-agent-123",
+        )
+
+        # Serialize to dict
+        data_dict = original_data.model_dump()
+
+        # Deserialize back
+        restored_data = AgentRejectionData.model_validate(data_dict)
+
+        assert restored_data.agent_name == original_data.agent_name
+        assert restored_data.agent_id == original_data.agent_id
+        assert restored_data.agent_version == original_data.agent_version
+        assert restored_data.reviewer_name == original_data.reviewer_name
+        assert restored_data.reviewer_email == original_data.reviewer_email
+        assert restored_data.comments == original_data.comments
+        assert restored_data.reviewed_at == original_data.reviewed_at
+        assert restored_data.resubmit_url == original_data.resubmit_url
diff --git a/autogpt_platform/backend/backend/data/onboarding.py b/autogpt_platform/backend/backend/data/onboarding.py
new file mode 100644
index 000000000000..817122f90ae3
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/onboarding.py
@@ -0,0 +1,340 @@
+import re
+from typing import Any, Optional
+
+import prisma
+import pydantic
+from prisma.enums import OnboardingStep
+from prisma.models import UserOnboarding
+from prisma.types import UserOnboardingCreateInput, UserOnboardingUpdateInput
+
+from backend.data.block import get_blocks
+from backend.data.credit import get_user_credit_model
+from backend.data.graph import GraphModel
+from backend.data.model import CredentialsMetaInput
+from backend.server.v2.store.model import StoreAgentDetails
+from backend.util.json import SafeJson
+
+# Mapping from user reason id to categories to search for when choosing agent to show
+REASON_MAPPING: dict[str, list[str]] = {
+    "content_marketing": ["writing", "marketing", "creative"],
+    "business_workflow_automation": ["business", "productivity"],
+    "data_research": ["data", "research"],
+    "ai_innovation": ["development", "research"],
+    "personal_productivity": ["personal", "productivity"],
+}
+POINTS_AGENT_COUNT = 50  # Number of agents to calculate points for
+MIN_AGENT_COUNT = 2  # Minimum number of marketplace agents to enable onboarding
+
+user_credit = get_user_credit_model()
+
+
+class UserOnboardingUpdate(pydantic.BaseModel):
+    completedSteps: Optional[list[OnboardingStep]] = None
+    notificationDot: Optional[bool] = None
+    notified: Optional[list[OnboardingStep]] = None
+    usageReason: Optional[str] = None
+    integrations: Optional[list[str]] = None
+    otherIntegrations: Optional[str] = None
+    selectedStoreListingVersionId: Optional[str] = None
+    agentInput: Optional[dict[str, Any]] = None
+    onboardingAgentExecutionId: Optional[str] = None
+    agentRuns: Optional[int] = None
+
+
+async def get_user_onboarding(user_id: str):
+    return await UserOnboarding.prisma().upsert(
+        where={"userId": user_id},
+        data={
+            "create": UserOnboardingCreateInput(userId=user_id),
+            "update": {},
+        },
+    )
+
+
+async def update_user_onboarding(user_id: str, data: UserOnboardingUpdate):
+    update: UserOnboardingUpdateInput = {}
+    if data.completedSteps is not None:
+        update["completedSteps"] = list(set(data.completedSteps))
+        for step in (
+            OnboardingStep.AGENT_NEW_RUN,
+            OnboardingStep.RUN_AGENTS,
+            OnboardingStep.MARKETPLACE_ADD_AGENT,
+            OnboardingStep.MARKETPLACE_RUN_AGENT,
+            OnboardingStep.BUILDER_SAVE_AGENT,
+            OnboardingStep.BUILDER_RUN_AGENT,
+        ):
+            if step in data.completedSteps:
+                await reward_user(user_id, step)
+    if data.notificationDot is not None:
+        update["notificationDot"] = data.notificationDot
+    if data.notified is not None:
+        update["notified"] = list(set(data.notified))
+    if data.usageReason is not None:
+        update["usageReason"] = data.usageReason
+    if data.integrations is not None:
+        update["integrations"] = data.integrations
+    if data.otherIntegrations is not None:
+        update["otherIntegrations"] = data.otherIntegrations
+    if data.selectedStoreListingVersionId is not None:
+        update["selectedStoreListingVersionId"] = data.selectedStoreListingVersionId
+    if data.agentInput is not None:
+        update["agentInput"] = SafeJson(data.agentInput)
+    if data.onboardingAgentExecutionId is not None:
+        update["onboardingAgentExecutionId"] = data.onboardingAgentExecutionId
+    if data.agentRuns is not None:
+        update["agentRuns"] = data.agentRuns
+
+    return await UserOnboarding.prisma().upsert(
+        where={"userId": user_id},
+        data={
+            "create": {"userId": user_id, **update},
+            "update": update,
+        },
+    )
+
+
+async def reward_user(user_id: str, step: OnboardingStep):
+    reward = 0
+    match step:
+        # Reward user when they clicked New Run during onboarding
+        # This is because they need credits before scheduling a run (next step)
+        # This is seen as a reward for the GET_RESULTS step in the wallet
+        case OnboardingStep.AGENT_NEW_RUN:
+            reward = 300
+        case OnboardingStep.RUN_AGENTS:
+            reward = 300
+        case OnboardingStep.MARKETPLACE_ADD_AGENT:
+            reward = 100
+        case OnboardingStep.MARKETPLACE_RUN_AGENT:
+            reward = 100
+        case OnboardingStep.BUILDER_SAVE_AGENT:
+            reward = 100
+        case OnboardingStep.BUILDER_RUN_AGENT:
+            reward = 100
+
+    if reward == 0:
+        return
+
+    onboarding = await get_user_onboarding(user_id)
+
+    # Skip if already rewarded
+    if step in onboarding.rewardedFor:
+        return
+
+    onboarding.rewardedFor.append(step)
+    await user_credit.onboarding_reward(user_id, reward, step)
+    await UserOnboarding.prisma().update(
+        where={"userId": user_id},
+        data={
+            "completedSteps": list(set(onboarding.completedSteps + [step])),
+            "rewardedFor": onboarding.rewardedFor,
+        },
+    )
+
+
+def clean_and_split(text: str) -> list[str]:
+    """
+    Removes all special characters from a string, truncates it to 100 characters,
+    and splits it by whitespace and commas.
+
+    Args:
+        text (str): The input string.
+
+    Returns:
+        list[str]: A list of cleaned words.
+    """
+    # Remove all special characters (keep only alphanumeric and whitespace)
+    cleaned_text = re.sub(r"[^a-zA-Z0-9\s,]", "", text.strip()[:100])
+
+    # Split by whitespace and commas
+    words = re.split(r"[\s,]+", cleaned_text)
+
+    # Remove empty strings from the list
+    words = [word.lower() for word in words if word]
+
+    return words
+
+
+def calculate_points(
+    agent, categories: list[str], custom: list[str], integrations: list[str]
+) -> int:
+    """
+    Calculates the total points for an agent based on the specified criteria.
+
+    Args:
+        agent: The agent object.
+        categories (list[str]): List of categories to match.
+        words (list[str]): List of words to match in the description.
+
+    Returns:
+        int: Total points for the agent.
+    """
+    points = 0
+
+    # 1. Category Matches
+    matched_categories = sum(
+        1 for category in categories if category in agent.categories
+    )
+    points += matched_categories * 100
+
+    # 2. Description Word Matches
+    description_words = agent.description.split()  # Split description into words
+    matched_words = sum(1 for word in custom if word in description_words)
+    points += matched_words * 100
+
+    matched_words = sum(1 for word in integrations if word in description_words)
+    points += matched_words * 50
+
+    # 3. Featured Bonus
+    if agent.featured:
+        points += 50
+
+    # 4. Rating Bonus
+    points += agent.rating * 10
+
+    # 5. Runs Bonus
+    runs_points = min(agent.runs / 1000 * 100, 100)  # Cap at 100 points
+    points += runs_points
+
+    return int(points)
+
+
+def get_credentials_blocks() -> dict[str, str]:
+    # Returns a dictionary of block id to credentials field name
+    creds: dict[str, str] = {}
+    blocks = get_blocks()
+    for id, block in blocks.items():
+        for field_name, field_info in block().input_schema.model_fields.items():
+            if field_info.annotation == CredentialsMetaInput:
+                creds[id] = field_name
+    return creds
+
+
+CREDENTIALS_FIELDS: dict[str, str] = get_credentials_blocks()
+
+
+async def get_recommended_agents(user_id: str) -> list[StoreAgentDetails]:
+    user_onboarding = await get_user_onboarding(user_id)
+    categories = REASON_MAPPING.get(user_onboarding.usageReason or "", [])
+
+    where_clause: dict[str, Any] = {}
+
+    custom = clean_and_split((user_onboarding.usageReason or "").lower())
+
+    if categories:
+        where_clause["OR"] = [
+            {"categories": {"has": category}} for category in categories
+        ]
+    else:
+        where_clause["OR"] = [
+            {"description": {"contains": word, "mode": "insensitive"}}
+            for word in custom
+        ]
+
+    where_clause["OR"] += [
+        {"description": {"contains": word, "mode": "insensitive"}}
+        for word in user_onboarding.integrations
+    ]
+
+    storeAgents = await prisma.models.StoreAgent.prisma().find_many(
+        where=prisma.types.StoreAgentWhereInput(**where_clause),
+        order=[
+            {"featured": "desc"},
+            {"runs": "desc"},
+            {"rating": "desc"},
+        ],
+        take=100,
+    )
+
+    agentListings = await prisma.models.StoreListingVersion.prisma().find_many(
+        where={
+            "id": {"in": [agent.storeListingVersionId for agent in storeAgents]},
+        },
+        include={"AgentGraph": True},
+    )
+
+    for listing in agentListings:
+        agent = listing.AgentGraph
+        if agent is None:
+            continue
+        graph = GraphModel.from_db(agent)
+        # Remove agents with empty input schema
+        if not graph.input_schema:
+            storeAgents = [
+                a for a in storeAgents if a.storeListingVersionId != listing.id
+            ]
+            continue
+
+        # Remove agents with empty credentials
+        # Get nodes from this agent that have credentials
+        nodes = await prisma.models.AgentNode.prisma().find_many(
+            where={
+                "agentGraphId": agent.id,
+                "agentBlockId": {"in": list(CREDENTIALS_FIELDS.keys())},
+            },
+        )
+        for node in nodes:
+            block_id = node.agentBlockId
+            field_name = CREDENTIALS_FIELDS[block_id]
+            # If there are no credentials or they are empty, remove the agent
+            # FIXME ignores default values
+            if (
+                field_name not in node.constantInput
+                or node.constantInput[field_name] is None
+            ):
+                storeAgents = [
+                    a for a in storeAgents if a.storeListingVersionId != listing.id
+                ]
+                break
+
+    # If there are less than 2 agents, add more agents to the list
+    if len(storeAgents) < 2:
+        storeAgents += await prisma.models.StoreAgent.prisma().find_many(
+            where={
+                "listing_id": {"not_in": [agent.listing_id for agent in storeAgents]},
+            },
+            order=[
+                {"featured": "desc"},
+                {"runs": "desc"},
+                {"rating": "desc"},
+            ],
+            take=2 - len(storeAgents),
+        )
+
+    # Calculate points for the first X agents and choose the top 2
+    agent_points = []
+    for agent in storeAgents[:POINTS_AGENT_COUNT]:
+        points = calculate_points(
+            agent, categories, custom, user_onboarding.integrations
+        )
+        agent_points.append((agent, points))
+
+    agent_points.sort(key=lambda x: x[1], reverse=True)
+    recommended_agents = [agent for agent, _ in agent_points[:2]]
+
+    return [
+        StoreAgentDetails(
+            store_listing_version_id=agent.storeListingVersionId,
+            slug=agent.slug,
+            agent_name=agent.agent_name,
+            agent_video=agent.agent_video or "",
+            agent_image=agent.agent_image,
+            creator=agent.creator_username,
+            creator_avatar=agent.creator_avatar,
+            sub_heading=agent.sub_heading,
+            description=agent.description,
+            categories=agent.categories,
+            runs=agent.runs,
+            rating=agent.rating,
+            versions=agent.versions,
+            last_updated=agent.updated_at,
+        )
+        for agent in recommended_agents
+    ]
+
+
+async def onboarding_enabled() -> bool:
+    count = await prisma.models.StoreAgent.prisma().count(take=MIN_AGENT_COUNT + 1)
+
+    # Onboading is enabled if there are at least 2 agents in the store
+    return count >= MIN_AGENT_COUNT
diff --git a/autogpt_platform/backend/backend/data/queue.py b/autogpt_platform/backend/backend/data/queue.py
deleted file mode 100644
index 8fbdb03cd6f0..000000000000
--- a/autogpt_platform/backend/backend/data/queue.py
+++ /dev/null
@@ -1,122 +0,0 @@
-import asyncio
-import json
-import logging
-from abc import ABC, abstractmethod
-from datetime import datetime
-from typing import Any, AsyncGenerator, Generator, Generic, Optional, TypeVar
-
-from pydantic import BaseModel
-from redis.asyncio.client import PubSub as AsyncPubSub
-from redis.client import PubSub
-
-from backend.data import redis
-
-logger = logging.getLogger(__name__)
-
-
-class DateTimeEncoder(json.JSONEncoder):
-    def default(self, o):
-        if isinstance(o, datetime):
-            return o.isoformat()
-        return super().default(o)
-
-
-M = TypeVar("M", bound=BaseModel)
-
-
-class BaseRedisEventBus(Generic[M], ABC):
-    Model: type[M]
-
-    @property
-    @abstractmethod
-    def event_bus_name(self) -> str:
-        pass
-
-    def _serialize_message(self, item: M, channel_key: str) -> tuple[str, str]:
-        message = json.dumps(item.model_dump(), cls=DateTimeEncoder)
-        channel_name = f"{self.event_bus_name}/{channel_key}"
-        logger.info(f"[{channel_name}] Publishing an event to Redis {message}")
-        return message, channel_name
-
-    def _deserialize_message(self, msg: Any, channel_key: str) -> M | None:
-        message_type = "pmessage" if "*" in channel_key else "message"
-        if msg["type"] != message_type:
-            return None
-        try:
-            data = json.loads(msg["data"])
-            logger.info(f"Consuming an event from Redis {data}")
-            return self.Model(**data)
-        except Exception as e:
-            logger.error(f"Failed to parse event result from Redis {msg} {e}")
-
-    def _get_pubsub_channel(
-        self, connection: redis.Redis | redis.AsyncRedis, channel_key: str
-    ) -> tuple[PubSub | AsyncPubSub, str]:
-        full_channel_name = f"{self.event_bus_name}/{channel_key}"
-        pubsub = connection.pubsub()
-        return pubsub, full_channel_name
-
-
-class RedisEventBus(BaseRedisEventBus[M], ABC):
-    Model: type[M]
-
-    @property
-    def connection(self) -> redis.Redis:
-        return redis.get_redis()
-
-    def publish_event(self, event: M, channel_key: str):
-        message, full_channel_name = self._serialize_message(event, channel_key)
-        self.connection.publish(full_channel_name, message)
-
-    def listen_events(self, channel_key: str) -> Generator[M, None, None]:
-        pubsub, full_channel_name = self._get_pubsub_channel(
-            self.connection, channel_key
-        )
-        assert isinstance(pubsub, PubSub)
-
-        if "*" in channel_key:
-            pubsub.psubscribe(full_channel_name)
-        else:
-            pubsub.subscribe(full_channel_name)
-
-        for message in pubsub.listen():
-            if event := self._deserialize_message(message, channel_key):
-                yield event
-
-
-class AsyncRedisEventBus(BaseRedisEventBus[M], ABC):
-    Model: type[M]
-
-    @property
-    async def connection(self) -> redis.AsyncRedis:
-        return await redis.get_redis_async()
-
-    async def publish_event(self, event: M, channel_key: str):
-        message, full_channel_name = self._serialize_message(event, channel_key)
-        connection = await self.connection
-        await connection.publish(full_channel_name, message)
-
-    async def listen_events(self, channel_key: str) -> AsyncGenerator[M, None]:
-        pubsub, full_channel_name = self._get_pubsub_channel(
-            await self.connection, channel_key
-        )
-        assert isinstance(pubsub, AsyncPubSub)
-
-        if "*" in channel_key:
-            await pubsub.psubscribe(full_channel_name)
-        else:
-            await pubsub.subscribe(full_channel_name)
-
-        async for message in pubsub.listen():
-            if event := self._deserialize_message(message, channel_key):
-                yield event
-
-    async def wait_for_event(
-        self, channel_key: str, timeout: Optional[float] = None
-    ) -> M | None:
-        try:
-            return await asyncio.wait_for(
-                anext(aiter(self.listen_events(channel_key))), timeout
-            )
-        except TimeoutError:
-            return None
diff --git a/autogpt_platform/backend/backend/data/rabbitmq.py b/autogpt_platform/backend/backend/data/rabbitmq.py
new file mode 100644
index 000000000000..bdf2090083d8
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/rabbitmq.py
@@ -0,0 +1,330 @@
+import logging
+from abc import ABC, abstractmethod
+from enum import Enum
+from typing import Awaitable, Optional
+
+import aio_pika
+import pika
+import pika.adapters.blocking_connection
+from pika.spec import BasicProperties
+from pydantic import BaseModel
+
+from backend.util.retry import conn_retry, func_retry
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+
+# RabbitMQ Connection Constants
+# These constants solve specific connection stability issues observed in production
+
+# BLOCKED_CONNECTION_TIMEOUT (300s = 5 minutes)
+# Problem: Connection can hang indefinitely if RabbitMQ server is overloaded
+# Solution: Timeout and reconnect if connection is blocked for too long
+# Use case: Network issues or server resource constraints
+BLOCKED_CONNECTION_TIMEOUT = 300
+
+# SOCKET_TIMEOUT (30s)
+# Problem: Network operations can hang indefinitely on poor connections
+# Solution: Fail fast on socket operations to enable quick reconnection
+# Use case: Network latency, packet loss, or connectivity issues
+SOCKET_TIMEOUT = 30
+
+# CONNECTION_ATTEMPTS (5 attempts)
+# Problem: Temporary network issues cause permanent connection failures
+# Solution: More retry attempts for better resilience during long executions
+# Use case: Transient network issues during service startup or long-running operations
+CONNECTION_ATTEMPTS = 5
+
+# RETRY_DELAY (1 second)
+# Problem: Immediate reconnection attempts can overwhelm the server
+# Solution: Quick retry for faster recovery while still being respectful
+# Use case: Faster reconnection for long-running executions that need to resume quickly
+RETRY_DELAY = 1
+
+
+class ExchangeType(str, Enum):
+    DIRECT = "direct"
+    FANOUT = "fanout"
+    TOPIC = "topic"
+    HEADERS = "headers"
+
+
+class Exchange(BaseModel):
+    name: str
+    type: ExchangeType
+    durable: bool = True
+    auto_delete: bool = False
+
+
+class Queue(BaseModel):
+    name: str
+    durable: bool = True
+    auto_delete: bool = False
+    # Optional exchange binding configuration
+    exchange: Optional[Exchange] = None
+    routing_key: Optional[str] = None
+    arguments: Optional[dict] = None
+
+
+class RabbitMQConfig(BaseModel):
+    """Configuration for a RabbitMQ service instance"""
+
+    vhost: str = "/"
+    exchanges: list[Exchange]
+    queues: list[Queue]
+
+
+class RabbitMQBase(ABC):
+    """Base class for RabbitMQ connections with shared configuration"""
+
+    def __init__(self, config: RabbitMQConfig):
+        settings = Settings()
+        self.host = settings.config.rabbitmq_host
+        self.port = settings.config.rabbitmq_port
+        self.username = settings.secrets.rabbitmq_default_user
+        self.password = settings.secrets.rabbitmq_default_pass
+        self.config = config
+
+        self._connection = None
+        self._channel = None
+
+    @property
+    def is_connected(self) -> bool:
+        """Check if we have a valid connection"""
+        return bool(self._connection)
+
+    @property
+    def is_ready(self) -> bool:
+        """Check if we have a valid channel"""
+        return bool(self.is_connected and self._channel)
+
+    @abstractmethod
+    def connect(self) -> None | Awaitable[None]:
+        """Establish connection to RabbitMQ"""
+        pass
+
+    @abstractmethod
+    def disconnect(self) -> None | Awaitable[None]:
+        """Close connection to RabbitMQ"""
+        pass
+
+    @abstractmethod
+    def declare_infrastructure(self) -> None | Awaitable[None]:
+        """Declare exchanges and queues for this service"""
+        pass
+
+
+class SyncRabbitMQ(RabbitMQBase):
+    """Synchronous RabbitMQ client"""
+
+    @property
+    def is_connected(self) -> bool:
+        return bool(self._connection and self._connection.is_open)
+
+    @property
+    def is_ready(self) -> bool:
+        return bool(self.is_connected and self._channel and self._channel.is_open)
+
+    @conn_retry("RabbitMQ", "Acquiring connection")
+    def connect(self) -> None:
+        if self.is_connected:
+            return
+
+        credentials = pika.PlainCredentials(self.username, self.password)
+        parameters = pika.ConnectionParameters(
+            host=self.host,
+            port=self.port,
+            virtual_host=self.config.vhost,
+            credentials=credentials,
+            blocked_connection_timeout=BLOCKED_CONNECTION_TIMEOUT,
+            socket_timeout=SOCKET_TIMEOUT,
+            connection_attempts=CONNECTION_ATTEMPTS,
+            retry_delay=RETRY_DELAY,
+            heartbeat=300,  # 5 minute timeout (heartbeats sent every 2.5 min)
+        )
+
+        self._connection = pika.BlockingConnection(parameters)
+        self._channel = self._connection.channel()
+        self._channel.basic_qos(prefetch_count=1)
+
+        self.declare_infrastructure()
+
+    def disconnect(self) -> None:
+        if self._channel:
+            if self._channel.is_open:
+                self._channel.close()
+            self._channel = None
+        if self._connection:
+            if self._connection.is_open:
+                self._connection.close()
+            self._connection = None
+
+    def declare_infrastructure(self) -> None:
+        """Declare exchanges and queues for this service"""
+        if not self.is_ready:
+            self.connect()
+
+        if self._channel is None:
+            raise RuntimeError("Channel should be established after connect")
+
+        # Declare exchanges
+        for exchange in self.config.exchanges:
+            self._channel.exchange_declare(
+                exchange=exchange.name,
+                exchange_type=exchange.type.value,
+                durable=exchange.durable,
+                auto_delete=exchange.auto_delete,
+            )
+
+        # Declare queues and bind them to exchanges
+        for queue in self.config.queues:
+            self._channel.queue_declare(
+                queue=queue.name,
+                durable=queue.durable,
+                auto_delete=queue.auto_delete,
+                arguments=queue.arguments,
+            )
+            if queue.exchange:
+                self._channel.queue_bind(
+                    queue=queue.name,
+                    exchange=queue.exchange.name,
+                    routing_key=queue.routing_key or queue.name,
+                )
+
+    @func_retry
+    def publish_message(
+        self,
+        routing_key: str,
+        message: str,
+        exchange: Optional[Exchange] = None,
+        properties: Optional[BasicProperties] = None,
+        mandatory: bool = True,
+    ) -> None:
+        if not self.is_ready:
+            self.connect()
+
+        if self._channel is None:
+            raise RuntimeError("Channel should be established after connect")
+
+        self._channel.basic_publish(
+            exchange=exchange.name if exchange else "",
+            routing_key=routing_key,
+            body=message.encode(),
+            properties=properties or BasicProperties(delivery_mode=2),
+            mandatory=mandatory,
+        )
+
+    def get_channel(self) -> pika.adapters.blocking_connection.BlockingChannel:
+        if not self.is_ready:
+            self.connect()
+        if self._channel is None:
+            raise RuntimeError("Channel should be established after connect")
+        return self._channel
+
+
+class AsyncRabbitMQ(RabbitMQBase):
+    """Asynchronous RabbitMQ client"""
+
+    @property
+    def is_connected(self) -> bool:
+        return bool(self._connection and not self._connection.is_closed)
+
+    @property
+    def is_ready(self) -> bool:
+        return bool(self.is_connected and self._channel and not self._channel.is_closed)
+
+    @conn_retry("AsyncRabbitMQ", "Acquiring async connection")
+    async def connect(self):
+        if self.is_connected:
+            return
+
+        self._connection = await aio_pika.connect_robust(
+            host=self.host,
+            port=self.port,
+            login=self.username,
+            password=self.password,
+            virtualhost=self.config.vhost.lstrip("/"),
+            blocked_connection_timeout=BLOCKED_CONNECTION_TIMEOUT,
+            heartbeat=300,  # 5 minute timeout (heartbeats sent every 2.5 min)
+        )
+        self._channel = await self._connection.channel()
+        await self._channel.set_qos(prefetch_count=1)
+
+        await self.declare_infrastructure()
+
+    async def disconnect(self):
+        if self._channel:
+            await self._channel.close()
+            self._channel = None
+        if self._connection:
+            await self._connection.close()
+            self._connection = None
+
+    async def declare_infrastructure(self):
+        """Declare exchanges and queues for this service"""
+        if not self.is_ready:
+            await self.connect()
+
+        if self._channel is None:
+            raise RuntimeError("Channel should be established after connect")
+
+        # Declare exchanges
+        for exchange in self.config.exchanges:
+            await self._channel.declare_exchange(
+                name=exchange.name,
+                type=exchange.type.value,
+                durable=exchange.durable,
+                auto_delete=exchange.auto_delete,
+            )
+
+        # Declare queues and bind them to exchanges
+        for queue in self.config.queues:
+            queue_obj = await self._channel.declare_queue(
+                name=queue.name,
+                durable=queue.durable,
+                auto_delete=queue.auto_delete,
+                arguments=queue.arguments,
+            )
+            if queue.exchange:
+                exchange = await self._channel.get_exchange(queue.exchange.name)
+                await queue_obj.bind(
+                    exchange, routing_key=queue.routing_key or queue.name
+                )
+
+    @func_retry
+    async def publish_message(
+        self,
+        routing_key: str,
+        message: str,
+        exchange: Optional[Exchange] = None,
+        persistent: bool = True,
+    ) -> None:
+        if not self.is_ready:
+            await self.connect()
+
+        if self._channel is None:
+            raise RuntimeError("Channel should be established after connect")
+
+        if exchange:
+            exchange_obj = await self._channel.get_exchange(exchange.name)
+        else:
+            exchange_obj = self._channel.default_exchange
+
+        await exchange_obj.publish(
+            aio_pika.Message(
+                body=message.encode(),
+                delivery_mode=(
+                    aio_pika.DeliveryMode.PERSISTENT
+                    if persistent
+                    else aio_pika.DeliveryMode.NOT_PERSISTENT
+                ),
+            ),
+            routing_key=routing_key,
+        )
+
+    async def get_channel(self) -> aio_pika.abc.AbstractChannel:
+        if not self.is_ready:
+            await self.connect()
+        if self._channel is None:
+            raise RuntimeError("Channel should be established after connect")
+        return self._channel
diff --git a/autogpt_platform/backend/backend/data/redis.py b/autogpt_platform/backend/backend/data/redis.py
deleted file mode 100644
index 36410fe29cb2..000000000000
--- a/autogpt_platform/backend/backend/data/redis.py
+++ /dev/null
@@ -1,84 +0,0 @@
-import logging
-import os
-
-from dotenv import load_dotenv
-from redis import Redis
-from redis.asyncio import Redis as AsyncRedis
-
-from backend.util.retry import conn_retry
-
-load_dotenv()
-
-HOST = os.getenv("REDIS_HOST", "localhost")
-PORT = int(os.getenv("REDIS_PORT", "6379"))
-PASSWORD = os.getenv("REDIS_PASSWORD", "password")
-
-logger = logging.getLogger(__name__)
-connection: Redis | None = None
-connection_async: AsyncRedis | None = None
-
-
-@conn_retry("Redis", "Acquiring connection")
-def connect() -> Redis:
-    global connection
-    if connection:
-        return connection
-
-    c = Redis(
-        host=HOST,
-        port=PORT,
-        password=PASSWORD,
-        decode_responses=True,
-    )
-    c.ping()
-    connection = c
-    return connection
-
-
-@conn_retry("Redis", "Releasing connection")
-def disconnect():
-    global connection
-    if connection:
-        connection.close()
-    connection = None
-
-
-def get_redis(auto_connect: bool = True) -> Redis:
-    if connection:
-        return connection
-    if auto_connect:
-        return connect()
-    raise RuntimeError("Redis connection is not established")
-
-
-@conn_retry("AsyncRedis", "Acquiring connection")
-async def connect_async() -> AsyncRedis:
-    global connection_async
-    if connection_async:
-        return connection_async
-
-    c = AsyncRedis(
-        host=HOST,
-        port=PORT,
-        password=PASSWORD,
-        decode_responses=True,
-    )
-    await c.ping()
-    connection_async = c
-    return connection_async
-
-
-@conn_retry("AsyncRedis", "Releasing connection")
-async def disconnect_async():
-    global connection_async
-    if connection_async:
-        await connection_async.close()
-    connection_async = None
-
-
-async def get_redis_async(auto_connect: bool = True) -> AsyncRedis:
-    if connection_async:
-        return connection_async
-    if auto_connect:
-        return await connect_async()
-    raise RuntimeError("AsyncRedis connection is not established")
diff --git a/autogpt_platform/backend/backend/data/redis_client.py b/autogpt_platform/backend/backend/data/redis_client.py
new file mode 100644
index 000000000000..c6225131f2ea
--- /dev/null
+++ b/autogpt_platform/backend/backend/data/redis_client.py
@@ -0,0 +1,63 @@
+import logging
+import os
+from functools import cache
+
+from autogpt_libs.utils.cache import thread_cached
+from dotenv import load_dotenv
+from redis import Redis
+from redis.asyncio import Redis as AsyncRedis
+
+from backend.util.retry import conn_retry
+
+load_dotenv()
+
+HOST = os.getenv("REDIS_HOST", "localhost")
+PORT = int(os.getenv("REDIS_PORT", "6379"))
+PASSWORD = os.getenv("REDIS_PASSWORD", "password")
+
+logger = logging.getLogger(__name__)
+
+
+@conn_retry("Redis", "Acquiring connection")
+def connect() -> Redis:
+    c = Redis(
+        host=HOST,
+        port=PORT,
+        password=PASSWORD,
+        decode_responses=True,
+    )
+    c.ping()
+    return c
+
+
+@conn_retry("Redis", "Releasing connection")
+def disconnect():
+    get_redis().close()
+
+
+@cache
+def get_redis() -> Redis:
+    return connect()
+
+
+@conn_retry("AsyncRedis", "Acquiring connection")
+async def connect_async() -> AsyncRedis:
+    c = AsyncRedis(
+        host=HOST,
+        port=PORT,
+        password=PASSWORD,
+        decode_responses=True,
+    )
+    await c.ping()
+    return c
+
+
+@conn_retry("AsyncRedis", "Releasing connection")
+async def disconnect_async():
+    c = await get_redis_async()
+    await c.close()
+
+
+@thread_cached
+async def get_redis_async() -> AsyncRedis:
+    return await connect_async()
diff --git a/autogpt_platform/backend/backend/data/user.py b/autogpt_platform/backend/backend/data/user.py
index 8602d0f3b136..3b1dd296db11 100644
--- a/autogpt_platform/backend/backend/data/user.py
+++ b/autogpt_platform/backend/backend/data/user.py
@@ -1,75 +1,101 @@
+import base64
+import hashlib
+import hmac
 import logging
+from datetime import datetime, timedelta
 from typing import Optional, cast
+from urllib.parse import quote_plus
 
 from autogpt_libs.auth.models import DEFAULT_USER_ID
 from fastapi import HTTPException
-from prisma import Json
-from prisma.models import User
+from prisma.enums import NotificationType
+from prisma.models import User as PrismaUser
+from prisma.types import JsonFilter, UserCreateInput, UserUpdateInput
 
 from backend.data.db import prisma
-from backend.data.model import UserIntegrations, UserMetadata, UserMetadataRaw
+from backend.data.model import User, UserIntegrations, UserMetadata
+from backend.data.notifications import NotificationPreference, NotificationPreferenceDTO
+from backend.server.v2.store.exceptions import DatabaseError
 from backend.util.encryption import JSONCryptor
+from backend.util.json import SafeJson
+from backend.util.settings import Settings
 
 logger = logging.getLogger(__name__)
+settings = Settings()
 
 
 async def get_or_create_user(user_data: dict) -> User:
-    user_id = user_data.get("sub")
-    if not user_id:
-        raise HTTPException(status_code=401, detail="User ID not found in token")
+    try:
+        user_id = user_data.get("sub")
+        if not user_id:
+            raise HTTPException(status_code=401, detail="User ID not found in token")
 
-    user_email = user_data.get("email")
-    if not user_email:
-        raise HTTPException(status_code=401, detail="Email not found in token")
+        user_email = user_data.get("email")
+        if not user_email:
+            raise HTTPException(status_code=401, detail="Email not found in token")
 
+        user = await prisma.user.find_unique(where={"id": user_id})
+        if not user:
+            user = await prisma.user.create(
+                data=UserCreateInput(
+                    id=user_id,
+                    email=user_email,
+                    name=user_data.get("user_metadata", {}).get("name"),
+                )
+            )
+
+        return User.from_db(user)
+    except Exception as e:
+        raise DatabaseError(f"Failed to get or create user {user_data}: {e}") from e
+
+
+async def get_user_by_id(user_id: str) -> User:
     user = await prisma.user.find_unique(where={"id": user_id})
     if not user:
-        user = await prisma.user.create(
-            data={
-                "id": user_id,
-                "email": user_email,
-                "name": user_data.get("user_metadata", {}).get("name"),
-            }
-        )
-    return User.model_validate(user)
+        raise ValueError(f"User not found with ID: {user_id}")
+    return User.from_db(user)
 
 
-async def get_user_by_id(user_id: str) -> Optional[User]:
-    user = await prisma.user.find_unique(where={"id": user_id})
-    return User.model_validate(user) if user else None
+async def get_user_email_by_id(user_id: str) -> Optional[str]:
+    try:
+        user = await prisma.user.find_unique(where={"id": user_id})
+        return user.email if user else None
+    except Exception as e:
+        raise DatabaseError(f"Failed to get user email for user {user_id}: {e}") from e
+
+
+async def get_user_by_email(email: str) -> Optional[User]:
+    try:
+        user = await prisma.user.find_unique(where={"email": email})
+        return User.from_db(user) if user else None
+    except Exception as e:
+        raise DatabaseError(f"Failed to get user by email {email}: {e}") from e
+
+
+async def update_user_email(user_id: str, email: str):
+    try:
+        await prisma.user.update(where={"id": user_id}, data={"email": email})
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to update user email for user {user_id}: {e}"
+        ) from e
 
 
 async def create_default_user() -> Optional[User]:
     user = await prisma.user.find_unique(where={"id": DEFAULT_USER_ID})
     if not user:
         user = await prisma.user.create(
-            data={
-                "id": DEFAULT_USER_ID,
-                "email": "default@example.com",
-                "name": "Default User",
-            }
+            data=UserCreateInput(
+                id=DEFAULT_USER_ID,
+                email="default@example.com",
+                name="Default User",
+            )
         )
-    return User.model_validate(user)
-
-
-async def get_user_metadata(user_id: str) -> UserMetadata:
-    user = await User.prisma().find_unique_or_raise(
-        where={"id": user_id},
-    )
-
-    metadata = cast(UserMetadataRaw, user.metadata)
-    return UserMetadata.model_validate(metadata)
-
-
-async def update_user_metadata(user_id: str, metadata: UserMetadata):
-    await User.prisma().update(
-        where={"id": user_id},
-        data={"metadata": Json(metadata.model_dump())},
-    )
+    return User.from_db(user)
 
 
 async def get_user_integrations(user_id: str) -> UserIntegrations:
-    user = await User.prisma().find_unique_or_raise(
+    user = await PrismaUser.prisma().find_unique_or_raise(
         where={"id": user_id},
     )
 
@@ -83,8 +109,8 @@ async def get_user_integrations(user_id: str) -> UserIntegrations:
 
 
 async def update_user_integrations(user_id: str, data: UserIntegrations):
-    encrypted_data = JSONCryptor().encrypt(data.model_dump())
-    await User.prisma().update(
+    encrypted_data = JSONCryptor().encrypt(data.model_dump(exclude_none=True))
+    await PrismaUser.prisma().update(
         where={"id": user_id},
         data={"integrations": encrypted_data},
     )
@@ -92,18 +118,23 @@ async def update_user_integrations(user_id: str, data: UserIntegrations):
 
 async def migrate_and_encrypt_user_integrations():
     """Migrate integration credentials and OAuth states from metadata to integrations column."""
-    users = await User.prisma().find_many(
+    users = await PrismaUser.prisma().find_many(
         where={
-            "metadata": {
-                "path": ["integration_credentials"],
-                "not": Json({"a": "yolo"}),  # bogus value works to check if key exists
-            }  # type: ignore
+            "metadata": cast(
+                JsonFilter,
+                {
+                    "path": ["integration_credentials"],
+                    "not": SafeJson(
+                        {"a": "yolo"}
+                    ),  # bogus value works to check if key exists
+                },
+            )
         }
     )
     logger.info(f"Migrating integration credentials for {len(users)} users")
 
     for user in users:
-        raw_metadata = cast(UserMetadataRaw, user.metadata)
+        raw_metadata = cast(dict, user.metadata)
         metadata = UserMetadata.model_validate(raw_metadata)
 
         # Get existing integrations data
@@ -119,12 +150,263 @@ async def migrate_and_encrypt_user_integrations():
         await update_user_integrations(user_id=user.id, data=integrations)
 
         # Remove from metadata
-        raw_metadata = dict(raw_metadata)
         raw_metadata.pop("integration_credentials", None)
         raw_metadata.pop("integration_oauth_states", None)
 
         # Update metadata without integration data
-        await User.prisma().update(
+        await PrismaUser.prisma().update(
             where={"id": user.id},
-            data={"metadata": Json(raw_metadata)},
+            data={"metadata": SafeJson(raw_metadata)},
+        )
+
+
+async def get_active_user_ids_in_timerange(start_time: str, end_time: str) -> list[str]:
+    try:
+        users = await PrismaUser.prisma().find_many(
+            where={
+                "AgentGraphExecutions": {
+                    "some": {
+                        "createdAt": {
+                            "gte": datetime.fromisoformat(start_time),
+                            "lte": datetime.fromisoformat(end_time),
+                        }
+                    }
+                }
+            },
+        )
+        return [user.id for user in users]
+
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to get active user ids in timerange {start_time} to {end_time}: {e}"
+        ) from e
+
+
+async def get_active_users_ids() -> list[str]:
+    user_ids = await get_active_user_ids_in_timerange(
+        (datetime.now() - timedelta(days=30)).isoformat(),
+        datetime.now().isoformat(),
+    )
+    return user_ids
+
+
+async def get_user_notification_preference(user_id: str) -> NotificationPreference:
+    try:
+        user = await PrismaUser.prisma().find_unique_or_raise(
+            where={"id": user_id},
+        )
+
+        # enable notifications by default if user has no notification preference (shouldn't ever happen though)
+        preferences: dict[NotificationType, bool] = {
+            NotificationType.AGENT_RUN: user.notifyOnAgentRun or False,
+            NotificationType.ZERO_BALANCE: user.notifyOnZeroBalance or False,
+            NotificationType.LOW_BALANCE: user.notifyOnLowBalance or False,
+            NotificationType.BLOCK_EXECUTION_FAILED: user.notifyOnBlockExecutionFailed
+            or False,
+            NotificationType.CONTINUOUS_AGENT_ERROR: user.notifyOnContinuousAgentError
+            or False,
+            NotificationType.DAILY_SUMMARY: user.notifyOnDailySummary or False,
+            NotificationType.WEEKLY_SUMMARY: user.notifyOnWeeklySummary or False,
+            NotificationType.MONTHLY_SUMMARY: user.notifyOnMonthlySummary or False,
+            NotificationType.AGENT_APPROVED: user.notifyOnAgentApproved or False,
+            NotificationType.AGENT_REJECTED: user.notifyOnAgentRejected or False,
+        }
+        daily_limit = user.maxEmailsPerDay or 3
+        notification_preference = NotificationPreference(
+            user_id=user.id,
+            email=user.email,
+            preferences=preferences,
+            daily_limit=daily_limit,
+            # TODO with other changes later, for now we just will email them
+            emails_sent_today=0,
+            last_reset_date=datetime.now(),
+        )
+        return NotificationPreference.model_validate(notification_preference)
+
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to upsert user notification preference for user {user_id}: {e}"
+        ) from e
+
+
+async def update_user_notification_preference(
+    user_id: str, data: NotificationPreferenceDTO
+) -> NotificationPreference:
+    try:
+        update_data: UserUpdateInput = {}
+        if data.email:
+            update_data["email"] = data.email
+        if NotificationType.AGENT_RUN in data.preferences:
+            update_data["notifyOnAgentRun"] = data.preferences[
+                NotificationType.AGENT_RUN
+            ]
+        if NotificationType.ZERO_BALANCE in data.preferences:
+            update_data["notifyOnZeroBalance"] = data.preferences[
+                NotificationType.ZERO_BALANCE
+            ]
+        if NotificationType.LOW_BALANCE in data.preferences:
+            update_data["notifyOnLowBalance"] = data.preferences[
+                NotificationType.LOW_BALANCE
+            ]
+        if NotificationType.BLOCK_EXECUTION_FAILED in data.preferences:
+            update_data["notifyOnBlockExecutionFailed"] = data.preferences[
+                NotificationType.BLOCK_EXECUTION_FAILED
+            ]
+        if NotificationType.CONTINUOUS_AGENT_ERROR in data.preferences:
+            update_data["notifyOnContinuousAgentError"] = data.preferences[
+                NotificationType.CONTINUOUS_AGENT_ERROR
+            ]
+        if NotificationType.DAILY_SUMMARY in data.preferences:
+            update_data["notifyOnDailySummary"] = data.preferences[
+                NotificationType.DAILY_SUMMARY
+            ]
+        if NotificationType.WEEKLY_SUMMARY in data.preferences:
+            update_data["notifyOnWeeklySummary"] = data.preferences[
+                NotificationType.WEEKLY_SUMMARY
+            ]
+        if NotificationType.MONTHLY_SUMMARY in data.preferences:
+            update_data["notifyOnMonthlySummary"] = data.preferences[
+                NotificationType.MONTHLY_SUMMARY
+            ]
+        if NotificationType.AGENT_APPROVED in data.preferences:
+            update_data["notifyOnAgentApproved"] = data.preferences[
+                NotificationType.AGENT_APPROVED
+            ]
+        if NotificationType.AGENT_REJECTED in data.preferences:
+            update_data["notifyOnAgentRejected"] = data.preferences[
+                NotificationType.AGENT_REJECTED
+            ]
+        if data.daily_limit:
+            update_data["maxEmailsPerDay"] = data.daily_limit
+
+        user = await PrismaUser.prisma().update(
+            where={"id": user_id},
+            data=update_data,
+        )
+        if not user:
+            raise ValueError(f"User not found with ID: {user_id}")
+        preferences: dict[NotificationType, bool] = {
+            NotificationType.AGENT_RUN: user.notifyOnAgentRun or True,
+            NotificationType.ZERO_BALANCE: user.notifyOnZeroBalance or True,
+            NotificationType.LOW_BALANCE: user.notifyOnLowBalance or True,
+            NotificationType.BLOCK_EXECUTION_FAILED: user.notifyOnBlockExecutionFailed
+            or True,
+            NotificationType.CONTINUOUS_AGENT_ERROR: user.notifyOnContinuousAgentError
+            or True,
+            NotificationType.DAILY_SUMMARY: user.notifyOnDailySummary or True,
+            NotificationType.WEEKLY_SUMMARY: user.notifyOnWeeklySummary or True,
+            NotificationType.MONTHLY_SUMMARY: user.notifyOnMonthlySummary or True,
+            NotificationType.AGENT_APPROVED: user.notifyOnAgentApproved or True,
+            NotificationType.AGENT_REJECTED: user.notifyOnAgentRejected or True,
+        }
+        notification_preference = NotificationPreference(
+            user_id=user.id,
+            email=user.email,
+            preferences=preferences,
+            daily_limit=user.maxEmailsPerDay or 3,
+            # TODO with other changes later, for now we just will email them
+            emails_sent_today=0,
+            last_reset_date=datetime.now(),
+        )
+        return NotificationPreference.model_validate(notification_preference)
+
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to update user notification preference for user {user_id}: {e}"
+        ) from e
+
+
+async def set_user_email_verification(user_id: str, verified: bool) -> None:
+    """Set the email verification status for a user."""
+    try:
+        await PrismaUser.prisma().update(
+            where={"id": user_id},
+            data={"emailVerified": verified},
+        )
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to set email verification status for user {user_id}: {e}"
+        ) from e
+
+
+async def get_user_email_verification(user_id: str) -> bool:
+    """Get the email verification status for a user."""
+    try:
+        user = await PrismaUser.prisma().find_unique_or_raise(
+            where={"id": user_id},
+        )
+        return user.emailVerified
+    except Exception as e:
+        raise DatabaseError(
+            f"Failed to get email verification status for user {user_id}: {e}"
+        ) from e
+
+
+def generate_unsubscribe_link(user_id: str) -> str:
+    """Generate a link to unsubscribe from all notifications"""
+    # Create an HMAC using a secret key
+    secret_key = settings.secrets.unsubscribe_secret_key
+    signature = hmac.new(
+        secret_key.encode("utf-8"), user_id.encode("utf-8"), hashlib.sha256
+    ).digest()
+
+    # Create a token that combines the user_id and signature
+    token = base64.urlsafe_b64encode(
+        f"{user_id}:{signature.hex()}".encode("utf-8")
+    ).decode("utf-8")
+    logger.info(f"Generating unsubscribe link for user {user_id}")
+
+    base_url = settings.config.platform_base_url
+    return f"{base_url}/api/email/unsubscribe?token={quote_plus(token)}"
+
+
+async def unsubscribe_user_by_token(token: str) -> None:
+    """Unsubscribe a user from all notifications using the token"""
+    try:
+        # Decode the token
+        decoded = base64.urlsafe_b64decode(token).decode("utf-8")
+        user_id, received_signature_hex = decoded.split(":", 1)
+
+        # Verify the signature
+        secret_key = settings.secrets.unsubscribe_secret_key
+        expected_signature = hmac.new(
+            secret_key.encode("utf-8"), user_id.encode("utf-8"), hashlib.sha256
+        ).digest()
+
+        if not hmac.compare_digest(expected_signature.hex(), received_signature_hex):
+            raise ValueError("Invalid token signature")
+
+        user = await get_user_by_id(user_id)
+        await update_user_notification_preference(
+            user.id,
+            NotificationPreferenceDTO(
+                email=user.email,
+                daily_limit=0,
+                preferences={
+                    NotificationType.AGENT_RUN: False,
+                    NotificationType.ZERO_BALANCE: False,
+                    NotificationType.LOW_BALANCE: False,
+                    NotificationType.BLOCK_EXECUTION_FAILED: False,
+                    NotificationType.CONTINUOUS_AGENT_ERROR: False,
+                    NotificationType.DAILY_SUMMARY: False,
+                    NotificationType.WEEKLY_SUMMARY: False,
+                    NotificationType.MONTHLY_SUMMARY: False,
+                },
+            ),
+        )
+    except Exception as e:
+        raise DatabaseError(f"Failed to unsubscribe user by token {token}: {e}") from e
+
+
+async def update_user_timezone(user_id: str, timezone: str) -> User:
+    """Update a user's timezone setting."""
+    try:
+        user = await PrismaUser.prisma().update(
+            where={"id": user_id},
+            data={"timezone": timezone},
         )
+        if not user:
+            raise ValueError(f"User not found with ID: {user_id}")
+        return User.from_db(user)
+    except Exception as e:
+        raise DatabaseError(f"Failed to update timezone for user {user_id}: {e}") from e
diff --git a/autogpt_platform/backend/backend/db.py b/autogpt_platform/backend/backend/db.py
new file mode 100644
index 000000000000..5c59a98a00ef
--- /dev/null
+++ b/autogpt_platform/backend/backend/db.py
@@ -0,0 +1,13 @@
+from backend.app import run_processes
+from backend.executor import DatabaseManager
+
+
+def main():
+    """
+    Run all the processes required for the AutoGPT-server REST API.
+    """
+    run_processes(DatabaseManager())
+
+
+if __name__ == "__main__":
+    main()
diff --git a/autogpt_platform/backend/backend/exec.py b/autogpt_platform/backend/backend/exec.py
index 6e902c64df58..46101a742af9 100644
--- a/autogpt_platform/backend/backend/exec.py
+++ b/autogpt_platform/backend/backend/exec.py
@@ -1,15 +1,12 @@
 from backend.app import run_processes
-from backend.executor import DatabaseManager, ExecutionManager
+from backend.executor import ExecutionManager
 
 
 def main():
     """
     Run all the processes required for the AutoGPT-server REST API.
     """
-    run_processes(
-        DatabaseManager(),
-        ExecutionManager(),
-    )
+    run_processes(ExecutionManager())
 
 
 if __name__ == "__main__":
diff --git a/autogpt_platform/backend/backend/executor/__init__.py b/autogpt_platform/backend/backend/executor/__init__.py
index 59a3595eea29..92d8b5dc58d3 100644
--- a/autogpt_platform/backend/backend/executor/__init__.py
+++ b/autogpt_platform/backend/backend/executor/__init__.py
@@ -1,9 +1,11 @@
-from .database import DatabaseManager
+from .database import DatabaseManager, DatabaseManagerAsyncClient, DatabaseManagerClient
 from .manager import ExecutionManager
-from .scheduler import ExecutionScheduler
+from .scheduler import Scheduler
 
 __all__ = [
     "DatabaseManager",
+    "DatabaseManagerClient",
+    "DatabaseManagerAsyncClient",
     "ExecutionManager",
-    "ExecutionScheduler",
+    "Scheduler",
 ]
diff --git a/autogpt_platform/backend/backend/executor/activity_status_generator.py b/autogpt_platform/backend/backend/executor/activity_status_generator.py
new file mode 100644
index 000000000000..f45acdd81f0c
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/activity_status_generator.py
@@ -0,0 +1,434 @@
+"""
+Module for generating AI-based activity status for graph executions.
+"""
+
+import json
+import logging
+from typing import TYPE_CHECKING, Any, NotRequired, TypedDict
+
+from pydantic import SecretStr
+
+from backend.blocks.llm import LlmModel, llm_call
+from backend.data.block import get_block
+from backend.data.execution import ExecutionStatus, NodeExecutionResult
+from backend.data.model import APIKeyCredentials, GraphExecutionStats
+from backend.util.feature_flag import Flag, is_feature_enabled
+from backend.util.retry import func_retry
+from backend.util.settings import Settings
+from backend.util.truncate import truncate
+
+if TYPE_CHECKING:
+    from backend.executor import DatabaseManagerAsyncClient
+
+logger = logging.getLogger(__name__)
+
+
+class ErrorInfo(TypedDict):
+    """Type definition for error information."""
+
+    error: str
+    execution_id: str
+    timestamp: str
+
+
+class InputOutputInfo(TypedDict):
+    """Type definition for input/output information."""
+
+    execution_id: str
+    output_data: dict[str, Any]  # Used for both input and output data
+    timestamp: str
+
+
+class NodeInfo(TypedDict):
+    """Type definition for node information."""
+
+    node_id: str
+    block_id: str
+    block_name: str
+    block_description: str
+    execution_count: int
+    error_count: int
+    recent_errors: list[ErrorInfo]
+    recent_outputs: list[InputOutputInfo]
+    recent_inputs: list[InputOutputInfo]
+
+
+class NodeRelation(TypedDict):
+    """Type definition for node relation information."""
+
+    source_node_id: str
+    sink_node_id: str
+    source_name: str
+    sink_name: str
+    is_static: bool
+    source_block_name: NotRequired[str]  # Optional, only set if block exists
+    sink_block_name: NotRequired[str]  # Optional, only set if block exists
+
+
+def _truncate_uuid(uuid_str: str) -> str:
+    """Truncate UUID to first segment to reduce payload size."""
+    if not uuid_str:
+        return uuid_str
+    return uuid_str.split("-")[0] if "-" in uuid_str else uuid_str[:8]
+
+
+async def generate_activity_status_for_execution(
+    graph_exec_id: str,
+    graph_id: str,
+    graph_version: int,
+    execution_stats: GraphExecutionStats,
+    db_client: "DatabaseManagerAsyncClient",
+    user_id: str,
+    execution_status: ExecutionStatus | None = None,
+) -> str | None:
+    """
+    Generate an AI-based activity status summary for a graph execution.
+
+    This function handles all the data collection and AI generation logic,
+    keeping the manager integration simple.
+
+    Args:
+        graph_exec_id: The graph execution ID
+        graph_id: The graph ID
+        graph_version: The graph version
+        execution_stats: Execution statistics
+        db_client: Database client for fetching data
+        user_id: User ID for LaunchDarkly feature flag evaluation
+        execution_status: The overall execution status (COMPLETED, FAILED, TERMINATED)
+
+    Returns:
+        AI-generated activity status string, or None if feature is disabled
+    """
+    # Check LaunchDarkly feature flag for AI activity status generation with full context support
+    if not await is_feature_enabled(Flag.AI_ACTIVITY_STATUS, user_id):
+        logger.debug("AI activity status generation is disabled via LaunchDarkly")
+        return None
+
+    # Check if we have OpenAI API key
+    try:
+        settings = Settings()
+        if not settings.secrets.openai_api_key:
+            logger.debug(
+                "OpenAI API key not configured, skipping activity status generation"
+            )
+            return None
+
+        # Get all node executions for this graph execution
+        node_executions = await db_client.get_node_executions(
+            graph_exec_id, include_exec_data=True
+        )
+
+        # Get graph metadata and full graph structure for name, description, and links
+        graph_metadata = await db_client.get_graph_metadata(graph_id, graph_version)
+        graph = await db_client.get_graph(graph_id, graph_version)
+
+        graph_name = graph_metadata.name if graph_metadata else f"Graph {graph_id}"
+        graph_description = graph_metadata.description if graph_metadata else ""
+        graph_links = graph.links if graph else []
+
+        # Build execution data summary
+        execution_data = _build_execution_summary(
+            node_executions,
+            execution_stats,
+            graph_name,
+            graph_description,
+            graph_links,
+            execution_status,
+        )
+
+        # Prepare prompt for AI
+        prompt = [
+            {
+                "role": "system",
+                "content": (
+                    "You are an AI assistant summarizing what you just did for a user in simple, friendly language. "
+                    "Write from the user's perspective about what they accomplished, NOT about technical execution details. "
+                    "Focus on the ACTUAL TASK the user wanted done, not the internal workflow steps. "
+                    "Avoid technical terms like 'workflow', 'execution', 'components', 'nodes', 'processing', etc. "
+                    "Keep it to 3 sentences maximum. Be conversational and human-friendly.\n\n"
+                    "IMPORTANT: Be HONEST about what actually happened:\n"
+                    "- If the input was invalid/nonsensical, say so directly\n"
+                    "- If the task failed, explain what went wrong in simple terms\n"
+                    "- If errors occurred, focus on what the user needs to know\n"
+                    "- Only claim success if the task was genuinely completed\n"
+                    "- Don't sugar-coat failures or present them as helpful feedback\n\n"
+                    "Understanding Errors:\n"
+                    "- Node errors: Individual steps may fail but the overall task might still complete (e.g., one data source fails but others work)\n"
+                    "- Graph error (in overall_status.graph_error): This means the entire execution failed and nothing was accomplished\n"
+                    "- Even if execution shows 'completed', check if critical nodes failed that would prevent the desired outcome\n"
+                    "- Focus on the end result the user wanted, not whether technical steps completed"
+                ),
+            },
+            {
+                "role": "user",
+                "content": (
+                    f"A user ran '{graph_name}' to accomplish something. Based on this execution data, "
+                    f"write what they achieved in simple, user-friendly terms:\n\n"
+                    f"{json.dumps(execution_data, indent=2)}\n\n"
+                    "CRITICAL: Check overall_status.graph_error FIRST - if present, the entire execution failed.\n"
+                    "Then check individual node errors to understand partial failures.\n\n"
+                    "Write 1-3 sentences about what the user accomplished, such as:\n"
+                    "- 'I analyzed your resume and provided detailed feedback for the IT industry.'\n"
+                    "- 'I couldn't analyze your resume because the input was just nonsensical text.'\n"
+                    "- 'I failed to complete the task due to missing API access.'\n"
+                    "- 'I extracted key information from your documents and organized it into a summary.'\n"
+                    "- 'The task failed to run due to system configuration issues.'\n\n"
+                    "Focus on what ACTUALLY happened, not what was attempted."
+                ),
+            },
+        ]
+
+        # Log the prompt for debugging purposes
+        logger.debug(
+            f"Sending prompt to LLM for graph execution {graph_exec_id}: {json.dumps(prompt, indent=2)}"
+        )
+
+        # Create credentials for LLM call
+        credentials = APIKeyCredentials(
+            id="openai",
+            provider="openai",
+            api_key=SecretStr(settings.secrets.openai_api_key),
+            title="System OpenAI",
+        )
+
+        # Make LLM call using current event loop
+        activity_status = await _call_llm_direct(credentials, prompt)
+
+        logger.debug(
+            f"Generated activity status for {graph_exec_id}: {activity_status}"
+        )
+        return activity_status
+
+    except Exception as e:
+        logger.error(
+            f"Failed to generate activity status for execution {graph_exec_id}: {str(e)}"
+        )
+        return None
+
+
+def _build_execution_summary(
+    node_executions: list[NodeExecutionResult],
+    execution_stats: GraphExecutionStats,
+    graph_name: str,
+    graph_description: str,
+    graph_links: list[Any],
+    execution_status: ExecutionStatus | None = None,
+) -> dict[str, Any]:
+    """Build a structured summary of execution data for AI analysis."""
+
+    nodes: list[NodeInfo] = []
+    node_execution_counts: dict[str, int] = {}
+    node_error_counts: dict[str, int] = {}
+    node_errors: dict[str, list[ErrorInfo]] = {}
+    node_outputs: dict[str, list[InputOutputInfo]] = {}
+    node_inputs: dict[str, list[InputOutputInfo]] = {}
+    input_output_data: dict[str, Any] = {}
+    node_map: dict[str, NodeInfo] = {}
+
+    # Process node executions
+    for node_exec in node_executions:
+        block = get_block(node_exec.block_id)
+        if not block:
+            logger.warning(
+                f"Block {node_exec.block_id} not found for node {node_exec.node_id}"
+            )
+            continue
+
+        # Track execution counts per node
+        if node_exec.node_id not in node_execution_counts:
+            node_execution_counts[node_exec.node_id] = 0
+        node_execution_counts[node_exec.node_id] += 1
+
+        # Track errors per node and group them
+        if node_exec.status == ExecutionStatus.FAILED:
+            if node_exec.node_id not in node_error_counts:
+                node_error_counts[node_exec.node_id] = 0
+            node_error_counts[node_exec.node_id] += 1
+
+            # Extract actual error message from output_data
+            error_message = "Unknown error"
+            if node_exec.output_data and isinstance(node_exec.output_data, dict):
+                # Check if error is in output_data
+                if "error" in node_exec.output_data:
+                    error_output = node_exec.output_data["error"]
+                    if isinstance(error_output, list) and error_output:
+                        error_message = str(error_output[0])
+                    else:
+                        error_message = str(error_output)
+
+            # Group errors by node_id
+            if node_exec.node_id not in node_errors:
+                node_errors[node_exec.node_id] = []
+
+            node_errors[node_exec.node_id].append(
+                {
+                    "error": error_message,
+                    "execution_id": _truncate_uuid(node_exec.node_exec_id),
+                    "timestamp": node_exec.add_time.isoformat(),
+                }
+            )
+
+        # Collect output samples for each node (latest executions)
+        if node_exec.output_data:
+            if node_exec.node_id not in node_outputs:
+                node_outputs[node_exec.node_id] = []
+
+            # Truncate output data to 100 chars to save space
+            truncated_output = truncate(node_exec.output_data, 100)
+
+            node_outputs[node_exec.node_id].append(
+                {
+                    "execution_id": _truncate_uuid(node_exec.node_exec_id),
+                    "output_data": truncated_output,
+                    "timestamp": node_exec.add_time.isoformat(),
+                }
+            )
+
+        # Collect input samples for each node (latest executions)
+        if node_exec.input_data:
+            if node_exec.node_id not in node_inputs:
+                node_inputs[node_exec.node_id] = []
+
+            # Truncate input data to 100 chars to save space
+            truncated_input = truncate(node_exec.input_data, 100)
+
+            node_inputs[node_exec.node_id].append(
+                {
+                    "execution_id": _truncate_uuid(node_exec.node_exec_id),
+                    "output_data": truncated_input,  # Reuse field name for consistency
+                    "timestamp": node_exec.add_time.isoformat(),
+                }
+            )
+
+        # Build node data (only add unique nodes)
+        if node_exec.node_id not in node_map:
+            node_data: NodeInfo = {
+                "node_id": _truncate_uuid(node_exec.node_id),
+                "block_id": _truncate_uuid(node_exec.block_id),
+                "block_name": block.name,
+                "block_description": block.description or "",
+                "execution_count": 0,  # Will be set later
+                "error_count": 0,  # Will be set later
+                "recent_errors": [],  # Will be set later
+                "recent_outputs": [],  # Will be set later
+                "recent_inputs": [],  # Will be set later
+            }
+            nodes.append(node_data)
+            node_map[node_exec.node_id] = node_data
+
+        # Store input/output data for special blocks (input/output blocks)
+        if block.name in ["AgentInputBlock", "AgentOutputBlock", "UserInputBlock"]:
+            if node_exec.input_data:
+                input_output_data[f"{node_exec.node_id}_inputs"] = dict(
+                    node_exec.input_data
+                )
+            if node_exec.output_data:
+                input_output_data[f"{node_exec.node_id}_outputs"] = dict(
+                    node_exec.output_data
+                )
+
+    # Add execution and error counts to node data, plus limited errors and output samples
+    for node in nodes:
+        # Use original node_id for lookups (before truncation)
+        original_node_id = None
+        for orig_id, node_data in node_map.items():
+            if node_data == node:
+                original_node_id = orig_id
+                break
+
+        if original_node_id:
+            node["execution_count"] = node_execution_counts.get(original_node_id, 0)
+            node["error_count"] = node_error_counts.get(original_node_id, 0)
+
+            # Add limited errors for this node (latest 10 or first 5 + last 5)
+            if original_node_id in node_errors:
+                node_error_list = node_errors[original_node_id]
+                if len(node_error_list) <= 10:
+                    node["recent_errors"] = node_error_list
+                else:
+                    # First 5 + last 5 if more than 10 errors
+                    node["recent_errors"] = node_error_list[:5] + node_error_list[-5:]
+
+            # Add latest output samples (latest 3)
+            if original_node_id in node_outputs:
+                node_output_list = node_outputs[original_node_id]
+                # Sort by timestamp if available, otherwise take last 3
+                if node_output_list and node_output_list[0].get("timestamp"):
+                    node_output_list.sort(
+                        key=lambda x: x.get("timestamp", ""), reverse=True
+                    )
+                node["recent_outputs"] = node_output_list[:3]
+
+            # Add latest input samples (latest 3)
+            if original_node_id in node_inputs:
+                node_input_list = node_inputs[original_node_id]
+                # Sort by timestamp if available, otherwise take last 3
+                if node_input_list and node_input_list[0].get("timestamp"):
+                    node_input_list.sort(
+                        key=lambda x: x.get("timestamp", ""), reverse=True
+                    )
+                node["recent_inputs"] = node_input_list[:3]
+
+    # Build node relations from graph links
+    node_relations: list[NodeRelation] = []
+    for link in graph_links:
+        # Include link details with source and sink information (truncated UUIDs)
+        relation: NodeRelation = {
+            "source_node_id": _truncate_uuid(link.source_id),
+            "sink_node_id": _truncate_uuid(link.sink_id),
+            "source_name": link.source_name,
+            "sink_name": link.sink_name,
+            "is_static": link.is_static if hasattr(link, "is_static") else False,
+        }
+
+        # Add block names if nodes exist in our map
+        if link.source_id in node_map:
+            relation["source_block_name"] = node_map[link.source_id]["block_name"]
+        if link.sink_id in node_map:
+            relation["sink_block_name"] = node_map[link.sink_id]["block_name"]
+
+        node_relations.append(relation)
+
+    # Build overall summary
+    return {
+        "graph_info": {"name": graph_name, "description": graph_description},
+        "nodes": nodes,
+        "node_relations": node_relations,
+        "input_output_data": input_output_data,
+        "overall_status": {
+            "total_nodes_in_graph": len(nodes),
+            "total_executions": execution_stats.node_count,
+            "total_errors": execution_stats.node_error_count,
+            "execution_time_seconds": execution_stats.walltime,
+            "has_errors": bool(
+                execution_stats.error or execution_stats.node_error_count > 0
+            ),
+            "graph_error": (
+                str(execution_stats.error) if execution_stats.error else None
+            ),
+            "graph_execution_status": (
+                execution_status.value if execution_status else None
+            ),
+        },
+    }
+
+
+@func_retry
+async def _call_llm_direct(
+    credentials: APIKeyCredentials, prompt: list[dict[str, str]]
+) -> str:
+    """Make direct LLM call."""
+
+    response = await llm_call(
+        credentials=credentials,
+        llm_model=LlmModel.GPT4O_MINI,
+        prompt=prompt,
+        json_format=False,
+        max_tokens=150,
+        compress_prompt_to_fit=True,
+    )
+
+    if response and response.response:
+        return response.response.strip()
+    else:
+        return "Unable to generate activity summary"
diff --git a/autogpt_platform/backend/backend/executor/activity_status_generator_test.py b/autogpt_platform/backend/backend/executor/activity_status_generator_test.py
new file mode 100644
index 000000000000..08ff3a7c2ae5
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/activity_status_generator_test.py
@@ -0,0 +1,702 @@
+"""
+Tests for activity status generator functionality.
+"""
+
+from datetime import datetime, timezone
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from backend.blocks.llm import LLMResponse
+from backend.data.execution import ExecutionStatus, NodeExecutionResult
+from backend.data.model import GraphExecutionStats
+from backend.executor.activity_status_generator import (
+    _build_execution_summary,
+    _call_llm_direct,
+    generate_activity_status_for_execution,
+)
+
+
+@pytest.fixture
+def mock_node_executions():
+    """Create mock node executions for testing."""
+    return [
+        NodeExecutionResult(
+            user_id="test_user",
+            graph_id="test_graph",
+            graph_version=1,
+            graph_exec_id="test_exec",
+            node_exec_id="123e4567-e89b-12d3-a456-426614174001",
+            node_id="456e7890-e89b-12d3-a456-426614174002",
+            block_id="789e1234-e89b-12d3-a456-426614174003",
+            status=ExecutionStatus.COMPLETED,
+            input_data={"user_input": "Hello, world!"},
+            output_data={"processed_input": ["Hello, world!"]},
+            add_time=datetime.now(timezone.utc),
+            queue_time=None,
+            start_time=None,
+            end_time=None,
+        ),
+        NodeExecutionResult(
+            user_id="test_user",
+            graph_id="test_graph",
+            graph_version=1,
+            graph_exec_id="test_exec",
+            node_exec_id="234e5678-e89b-12d3-a456-426614174004",
+            node_id="567e8901-e89b-12d3-a456-426614174005",
+            block_id="890e2345-e89b-12d3-a456-426614174006",
+            status=ExecutionStatus.COMPLETED,
+            input_data={"data": "Hello, world!"},
+            output_data={"result": ["Processed data"]},
+            add_time=datetime.now(timezone.utc),
+            queue_time=None,
+            start_time=None,
+            end_time=None,
+        ),
+        NodeExecutionResult(
+            user_id="test_user",
+            graph_id="test_graph",
+            graph_version=1,
+            graph_exec_id="test_exec",
+            node_exec_id="345e6789-e89b-12d3-a456-426614174007",
+            node_id="678e9012-e89b-12d3-a456-426614174008",
+            block_id="901e3456-e89b-12d3-a456-426614174009",
+            status=ExecutionStatus.FAILED,
+            input_data={"final_data": "Processed data"},
+            output_data={
+                "error": ["Connection timeout: Unable to reach external service"]
+            },
+            add_time=datetime.now(timezone.utc),
+            queue_time=None,
+            start_time=None,
+            end_time=None,
+        ),
+    ]
+
+
+@pytest.fixture
+def mock_execution_stats():
+    """Create mock execution stats for testing."""
+    return GraphExecutionStats(
+        walltime=2.5,
+        cputime=1.8,
+        nodes_walltime=2.0,
+        nodes_cputime=1.5,
+        node_count=3,
+        node_error_count=1,
+        cost=10,
+        error=None,
+    )
+
+
+@pytest.fixture
+def mock_execution_stats_with_graph_error():
+    """Create mock execution stats with graph-level error."""
+    return GraphExecutionStats(
+        walltime=2.5,
+        cputime=1.8,
+        nodes_walltime=2.0,
+        nodes_cputime=1.5,
+        node_count=3,
+        node_error_count=1,
+        cost=10,
+        error="Graph execution failed: Invalid API credentials",
+    )
+
+
+@pytest.fixture
+def mock_blocks():
+    """Create mock blocks for testing."""
+    input_block = MagicMock()
+    input_block.name = "AgentInputBlock"
+    input_block.description = "Handles user input"
+
+    process_block = MagicMock()
+    process_block.name = "ProcessingBlock"
+    process_block.description = "Processes data"
+
+    output_block = MagicMock()
+    output_block.name = "AgentOutputBlock"
+    output_block.description = "Provides output to user"
+
+    return {
+        "789e1234-e89b-12d3-a456-426614174003": input_block,
+        "890e2345-e89b-12d3-a456-426614174006": process_block,
+        "901e3456-e89b-12d3-a456-426614174009": output_block,
+        "process_block_id": process_block,  # Keep old key for different error format test
+    }
+
+
+class TestBuildExecutionSummary:
+    """Tests for _build_execution_summary function."""
+
+    def test_build_summary_with_successful_execution(
+        self, mock_node_executions, mock_execution_stats, mock_blocks
+    ):
+        """Test building summary for successful execution."""
+        # Create mock links with realistic UUIDs
+        mock_links = [
+            MagicMock(
+                source_id="456e7890-e89b-12d3-a456-426614174002",
+                sink_id="567e8901-e89b-12d3-a456-426614174005",
+                source_name="output",
+                sink_name="input",
+                is_static=False,
+            )
+        ]
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block:
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+
+            summary = _build_execution_summary(
+                mock_node_executions[:2],
+                mock_execution_stats,
+                "Test Graph",
+                "A test graph for processing",
+                mock_links,
+                ExecutionStatus.COMPLETED,
+            )
+
+            # Check graph info
+            assert summary["graph_info"]["name"] == "Test Graph"
+            assert summary["graph_info"]["description"] == "A test graph for processing"
+
+            # Check nodes with per-node counts
+            assert len(summary["nodes"]) == 2
+            assert summary["nodes"][0]["block_name"] == "AgentInputBlock"
+            assert summary["nodes"][0]["execution_count"] == 1
+            assert summary["nodes"][0]["error_count"] == 0
+            assert summary["nodes"][1]["block_name"] == "ProcessingBlock"
+            assert summary["nodes"][1]["execution_count"] == 1
+            assert summary["nodes"][1]["error_count"] == 0
+
+            # Check node relations (UUIDs are truncated to first segment)
+            assert len(summary["node_relations"]) == 1
+            assert (
+                summary["node_relations"][0]["source_node_id"] == "456e7890"
+            )  # Truncated
+            assert (
+                summary["node_relations"][0]["sink_node_id"] == "567e8901"
+            )  # Truncated
+            assert (
+                summary["node_relations"][0]["source_block_name"] == "AgentInputBlock"
+            )
+            assert summary["node_relations"][0]["sink_block_name"] == "ProcessingBlock"
+
+            # Check overall status
+            assert summary["overall_status"]["total_nodes_in_graph"] == 2
+            assert summary["overall_status"]["total_executions"] == 3
+            assert summary["overall_status"]["total_errors"] == 1
+            assert summary["overall_status"]["execution_time_seconds"] == 2.5
+            assert summary["overall_status"]["graph_execution_status"] == "COMPLETED"
+
+            # Check input/output data (using actual node UUIDs)
+            assert (
+                "456e7890-e89b-12d3-a456-426614174002_inputs"
+                in summary["input_output_data"]
+            )
+            assert (
+                "456e7890-e89b-12d3-a456-426614174002_outputs"
+                in summary["input_output_data"]
+            )
+
+    def test_build_summary_with_failed_execution(
+        self, mock_node_executions, mock_execution_stats, mock_blocks
+    ):
+        """Test building summary for execution with failures."""
+        mock_links = []  # No links for this test
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block:
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+
+            summary = _build_execution_summary(
+                mock_node_executions,
+                mock_execution_stats,
+                "Failed Graph",
+                "Test with failures",
+                mock_links,
+                ExecutionStatus.FAILED,
+            )
+
+            # Check that errors are now in node's recent_errors field
+            # Find the output node (with truncated UUID)
+            output_node = next(
+                n for n in summary["nodes"] if n["node_id"] == "678e9012"  # Truncated
+            )
+            assert output_node["error_count"] == 1
+            assert output_node["execution_count"] == 1
+
+            # Check recent_errors field
+            assert "recent_errors" in output_node
+            assert len(output_node["recent_errors"]) == 1
+            assert (
+                output_node["recent_errors"][0]["error"]
+                == "Connection timeout: Unable to reach external service"
+            )
+            assert (
+                "execution_id" in output_node["recent_errors"][0]
+            )  # Should include execution ID
+
+    def test_build_summary_with_missing_blocks(
+        self, mock_node_executions, mock_execution_stats
+    ):
+        """Test building summary when blocks are missing."""
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block:
+            mock_get_block.return_value = None
+
+            summary = _build_execution_summary(
+                mock_node_executions,
+                mock_execution_stats,
+                "Missing Blocks Graph",
+                "Test with missing blocks",
+                [],
+                ExecutionStatus.COMPLETED,
+            )
+
+            # Should handle missing blocks gracefully
+            assert len(summary["nodes"]) == 0
+            # No top-level errors field anymore, errors are in nodes' recent_errors
+            assert summary["graph_info"]["name"] == "Missing Blocks Graph"
+
+    def test_build_summary_with_graph_error(
+        self, mock_node_executions, mock_execution_stats_with_graph_error, mock_blocks
+    ):
+        """Test building summary with graph-level error."""
+        mock_links = []
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block:
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+
+            summary = _build_execution_summary(
+                mock_node_executions,
+                mock_execution_stats_with_graph_error,
+                "Graph with Error",
+                "Test with graph error",
+                mock_links,
+                ExecutionStatus.FAILED,
+            )
+
+            # Check that graph error is included in overall status
+            assert summary["overall_status"]["has_errors"] is True
+            assert (
+                summary["overall_status"]["graph_error"]
+                == "Graph execution failed: Invalid API credentials"
+            )
+            assert summary["overall_status"]["total_errors"] == 1
+            assert summary["overall_status"]["graph_execution_status"] == "FAILED"
+
+    def test_build_summary_with_different_error_formats(
+        self, mock_execution_stats, mock_blocks
+    ):
+        """Test building summary with different error formats."""
+        # Create node executions with different error formats and realistic UUIDs
+        mock_executions = [
+            NodeExecutionResult(
+                user_id="test_user",
+                graph_id="test_graph",
+                graph_version=1,
+                graph_exec_id="test_exec",
+                node_exec_id="111e2222-e89b-12d3-a456-426614174010",
+                node_id="333e4444-e89b-12d3-a456-426614174011",
+                block_id="process_block_id",
+                status=ExecutionStatus.FAILED,
+                input_data={},
+                output_data={"error": ["Simple string error message"]},
+                add_time=datetime.now(timezone.utc),
+                queue_time=None,
+                start_time=None,
+                end_time=None,
+            ),
+            NodeExecutionResult(
+                user_id="test_user",
+                graph_id="test_graph",
+                graph_version=1,
+                graph_exec_id="test_exec",
+                node_exec_id="555e6666-e89b-12d3-a456-426614174012",
+                node_id="777e8888-e89b-12d3-a456-426614174013",
+                block_id="process_block_id",
+                status=ExecutionStatus.FAILED,
+                input_data={},
+                output_data={},  # No error in output
+                add_time=datetime.now(timezone.utc),
+                queue_time=None,
+                start_time=None,
+                end_time=None,
+            ),
+        ]
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block:
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+
+            summary = _build_execution_summary(
+                mock_executions,
+                mock_execution_stats,
+                "Error Test Graph",
+                "Testing error formats",
+                [],
+                ExecutionStatus.FAILED,
+            )
+
+            # Check different error formats - errors are now in nodes' recent_errors
+            error_nodes = [n for n in summary["nodes"] if n.get("recent_errors")]
+            assert len(error_nodes) == 2
+
+            # String error format - find node with truncated ID
+            string_error_node = next(
+                n for n in summary["nodes"] if n["node_id"] == "333e4444"  # Truncated
+            )
+            assert len(string_error_node["recent_errors"]) == 1
+            assert (
+                string_error_node["recent_errors"][0]["error"]
+                == "Simple string error message"
+            )
+
+            # No error output format - find node with truncated ID
+            no_error_node = next(
+                n for n in summary["nodes"] if n["node_id"] == "777e8888"  # Truncated
+            )
+            assert len(no_error_node["recent_errors"]) == 1
+            assert no_error_node["recent_errors"][0]["error"] == "Unknown error"
+
+
+class TestLLMCall:
+    """Tests for LLM calling functionality."""
+
+    @pytest.mark.asyncio
+    async def test_call_llm_direct_success(self):
+        """Test successful LLM call."""
+        from pydantic import SecretStr
+
+        from backend.data.model import APIKeyCredentials
+
+        mock_response = LLMResponse(
+            raw_response={},
+            prompt=[],
+            response="Agent successfully processed user input and generated response.",
+            tool_calls=None,
+            prompt_tokens=50,
+            completion_tokens=20,
+        )
+
+        with patch(
+            "backend.executor.activity_status_generator.llm_call"
+        ) as mock_llm_call:
+            mock_llm_call.return_value = mock_response
+
+            credentials = APIKeyCredentials(
+                id="test",
+                provider="openai",
+                api_key=SecretStr("test_key"),
+                title="Test",
+            )
+
+            prompt = [{"role": "user", "content": "Test prompt"}]
+
+            result = await _call_llm_direct(credentials, prompt)
+
+            assert (
+                result
+                == "Agent successfully processed user input and generated response."
+            )
+            mock_llm_call.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_call_llm_direct_no_response(self):
+        """Test LLM call with no response."""
+        from pydantic import SecretStr
+
+        from backend.data.model import APIKeyCredentials
+
+        with patch(
+            "backend.executor.activity_status_generator.llm_call"
+        ) as mock_llm_call:
+            mock_llm_call.return_value = None
+
+            credentials = APIKeyCredentials(
+                id="test",
+                provider="openai",
+                api_key=SecretStr("test_key"),
+                title="Test",
+            )
+
+            prompt = [{"role": "user", "content": "Test prompt"}]
+
+            result = await _call_llm_direct(credentials, prompt)
+
+            assert result == "Unable to generate activity summary"
+
+
+class TestGenerateActivityStatusForExecution:
+    """Tests for the main generate_activity_status_for_execution function."""
+
+    @pytest.mark.asyncio
+    async def test_generate_status_success(
+        self, mock_node_executions, mock_execution_stats, mock_blocks
+    ):
+        """Test successful activity status generation."""
+        mock_db_client = AsyncMock()
+        mock_db_client.get_node_executions.return_value = mock_node_executions
+
+        mock_graph_metadata = MagicMock()
+        mock_graph_metadata.name = "Test Agent"
+        mock_graph_metadata.description = "A test agent"
+        mock_db_client.get_graph_metadata.return_value = mock_graph_metadata
+
+        mock_graph = MagicMock()
+        mock_graph.links = []
+        mock_db_client.get_graph.return_value = mock_graph
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block, patch(
+            "backend.executor.activity_status_generator.Settings"
+        ) as mock_settings, patch(
+            "backend.executor.activity_status_generator._call_llm_direct"
+        ) as mock_llm, patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=True,
+        ):
+
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+            mock_settings.return_value.secrets.openai_api_key = "test_key"
+            mock_llm.return_value = (
+                "I analyzed your data and provided the requested insights."
+            )
+
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            assert result == "I analyzed your data and provided the requested insights."
+            mock_db_client.get_node_executions.assert_called_once()
+            mock_db_client.get_graph_metadata.assert_called_once()
+            mock_db_client.get_graph.assert_called_once()
+            mock_llm.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_generate_status_feature_disabled(self, mock_execution_stats):
+        """Test activity status generation when feature is disabled."""
+        mock_db_client = AsyncMock()
+
+        with patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=False,
+        ):
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            assert result is None
+            mock_db_client.get_node_executions.assert_not_called()
+
+    @pytest.mark.asyncio
+    async def test_generate_status_no_api_key(self, mock_execution_stats):
+        """Test activity status generation with no API key."""
+        mock_db_client = AsyncMock()
+
+        with patch(
+            "backend.executor.activity_status_generator.Settings"
+        ) as mock_settings, patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=True,
+        ):
+            mock_settings.return_value.secrets.openai_api_key = ""
+
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            assert result is None
+            mock_db_client.get_node_executions.assert_not_called()
+
+    @pytest.mark.asyncio
+    async def test_generate_status_exception_handling(self, mock_execution_stats):
+        """Test activity status generation with exception."""
+        mock_db_client = AsyncMock()
+        mock_db_client.get_node_executions.side_effect = Exception("Database error")
+
+        with patch(
+            "backend.executor.activity_status_generator.Settings"
+        ) as mock_settings, patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=True,
+        ):
+            mock_settings.return_value.secrets.openai_api_key = "test_key"
+
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            assert result is None
+
+    @pytest.mark.asyncio
+    async def test_generate_status_with_graph_name_fallback(
+        self, mock_node_executions, mock_execution_stats, mock_blocks
+    ):
+        """Test activity status generation with graph name fallback."""
+        mock_db_client = AsyncMock()
+        mock_db_client.get_node_executions.return_value = mock_node_executions
+        mock_db_client.get_graph_metadata.return_value = None  # No metadata
+        mock_db_client.get_graph.return_value = None  # No graph
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block, patch(
+            "backend.executor.activity_status_generator.Settings"
+        ) as mock_settings, patch(
+            "backend.executor.activity_status_generator._call_llm_direct"
+        ) as mock_llm, patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=True,
+        ):
+
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+            mock_settings.return_value.secrets.openai_api_key = "test_key"
+            mock_llm.return_value = "Agent completed execution."
+
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            assert result == "Agent completed execution."
+            # Should use fallback graph name in prompt
+            call_args = mock_llm.call_args[0][1]  # prompt argument
+            assert "Graph test_graph" in call_args[1]["content"]
+
+
+class TestIntegration:
+    """Integration tests to verify the complete flow."""
+
+    @pytest.mark.asyncio
+    async def test_full_integration_flow(
+        self, mock_node_executions, mock_execution_stats, mock_blocks
+    ):
+        """Test the complete integration flow."""
+        mock_db_client = AsyncMock()
+        mock_db_client.get_node_executions.return_value = mock_node_executions
+
+        mock_graph_metadata = MagicMock()
+        mock_graph_metadata.name = "Test Integration Agent"
+        mock_graph_metadata.description = "Integration test agent"
+        mock_db_client.get_graph_metadata.return_value = mock_graph_metadata
+
+        mock_graph = MagicMock()
+        mock_graph.links = []
+        mock_db_client.get_graph.return_value = mock_graph
+
+        expected_activity = "I processed user input but failed during final output generation due to system error."
+
+        with patch(
+            "backend.executor.activity_status_generator.get_block"
+        ) as mock_get_block, patch(
+            "backend.executor.activity_status_generator.Settings"
+        ) as mock_settings, patch(
+            "backend.executor.activity_status_generator.llm_call"
+        ) as mock_llm_call, patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=True,
+        ):
+
+            mock_get_block.side_effect = lambda block_id: mock_blocks.get(block_id)
+            mock_settings.return_value.secrets.openai_api_key = "test_key"
+
+            mock_response = LLMResponse(
+                raw_response={},
+                prompt=[],
+                response=expected_activity,
+                tool_calls=None,
+                prompt_tokens=100,
+                completion_tokens=30,
+            )
+            mock_llm_call.return_value = mock_response
+
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            assert result == expected_activity
+
+            # Verify the correct data was passed to LLM
+            llm_call_args = mock_llm_call.call_args
+            prompt = llm_call_args[1]["prompt"]
+
+            # Check system prompt
+            assert prompt[0]["role"] == "system"
+            assert "user's perspective" in prompt[0]["content"]
+
+            # Check user prompt contains expected data
+            user_content = prompt[1]["content"]
+            assert "Test Integration Agent" in user_content
+            assert "user-friendly terms" in user_content.lower()
+
+            # Verify that execution data is present in the prompt
+            assert "{" in user_content  # Should contain JSON data
+            assert "overall_status" in user_content
+
+    @pytest.mark.asyncio
+    async def test_manager_integration_with_disabled_feature(
+        self, mock_execution_stats
+    ):
+        """Test that when feature returns None, manager doesn't set activity_status."""
+        mock_db_client = AsyncMock()
+
+        with patch(
+            "backend.executor.activity_status_generator.is_feature_enabled",
+            return_value=False,
+        ):
+            result = await generate_activity_status_for_execution(
+                graph_exec_id="test_exec",
+                graph_id="test_graph",
+                graph_version=1,
+                execution_stats=mock_execution_stats,
+                db_client=mock_db_client,
+                user_id="test_user",
+            )
+
+            # Should return None when disabled
+            assert result is None
+
+            # Verify no database calls were made
+            mock_db_client.get_node_executions.assert_not_called()
+            mock_db_client.get_graph_metadata.assert_not_called()
+            mock_db_client.get_graph.assert_not_called()
diff --git a/autogpt_platform/backend/backend/executor/database.py b/autogpt_platform/backend/backend/executor/database.py
index 4016363c1ab8..2607b24843df 100644
--- a/autogpt_platform/backend/backend/executor/database.py
+++ b/autogpt_platform/backend/backend/executor/database.py
@@ -1,94 +1,253 @@
-from functools import wraps
-from typing import Any, Callable, Concatenate, Coroutine, ParamSpec, TypeVar, cast
+import logging
+from typing import Callable, Concatenate, ParamSpec, TypeVar, cast
 
-from backend.data.credit import get_user_credit_model
+from backend.data import db
+from backend.data.credit import UsageTransactionMetadata, get_user_credit_model
 from backend.data.execution import (
-    ExecutionResult,
-    RedisExecutionEventBus,
     create_graph_execution,
-    get_execution_results,
-    get_incomplete_executions,
-    get_latest_execution,
-    update_execution_status,
+    get_block_error_stats,
+    get_execution_kv_data,
+    get_graph_execution_meta,
+    get_graph_executions,
+    get_latest_node_execution,
+    get_node_execution,
+    get_node_executions,
+    set_execution_kv_data,
+    update_graph_execution_start_time,
     update_graph_execution_stats,
-    update_node_execution_stats,
+    update_node_execution_status,
+    update_node_execution_status_batch,
     upsert_execution_input,
     upsert_execution_output,
 )
-from backend.data.graph import get_graph, get_node
+from backend.data.generate_data import get_user_execution_summary_data
+from backend.data.graph import (
+    get_connected_output_nodes,
+    get_graph,
+    get_graph_metadata,
+    get_node,
+)
+from backend.data.notifications import (
+    create_or_add_to_user_notification_batch,
+    empty_user_notification_batch,
+    get_all_batches_by_type,
+    get_user_notification_batch,
+    get_user_notification_oldest_message_in_batch,
+)
 from backend.data.user import (
+    get_active_user_ids_in_timerange,
+    get_user_email_by_id,
+    get_user_email_verification,
     get_user_integrations,
-    get_user_metadata,
+    get_user_notification_preference,
     update_user_integrations,
-    update_user_metadata,
 )
-from backend.util.service import AppService, expose, register_pydantic_serializers
+from backend.server.v2.library.db import add_store_agent_to_library, list_library_agents
+from backend.server.v2.store.db import get_store_agent_details, get_store_agents
+from backend.util.service import (
+    AppService,
+    AppServiceClient,
+    UnhealthyServiceError,
+    endpoint_to_sync,
+    expose,
+)
 from backend.util.settings import Config
 
+config = Config()
+_user_credit_model = get_user_credit_model()
+logger = logging.getLogger(__name__)
 P = ParamSpec("P")
 R = TypeVar("R")
-config = Config()
+
+
+async def _spend_credits(
+    user_id: str, cost: int, metadata: UsageTransactionMetadata
+) -> int:
+    return await _user_credit_model.spend_credits(user_id, cost, metadata)
+
+
+async def _get_credits(user_id: str) -> int:
+    return await _user_credit_model.get_credits(user_id)
 
 
 class DatabaseManager(AppService):
-    def __init__(self):
-        super().__init__()
-        self.use_db = True
-        self.use_redis = True
-        self.event_queue = RedisExecutionEventBus()
+
+    def run_service(self) -> None:
+        logger.info(f"[{self.service_name}] ⏳ Connecting to Database...")
+        self.run_and_wait(db.connect())
+        super().run_service()
+
+    def cleanup(self):
+        super().cleanup()
+        logger.info(f"[{self.service_name}] ⏳ Disconnecting Database...")
+        self.run_and_wait(db.disconnect())
+
+    async def health_check(self) -> str:
+        if not db.is_connected():
+            raise UnhealthyServiceError("Database is not connected")
+        return await super().health_check()
 
     @classmethod
     def get_port(cls) -> int:
         return config.database_api_port
 
-    @expose
-    def send_execution_update(self, execution_result: ExecutionResult):
-        self.event_queue.publish(execution_result)
-
     @staticmethod
-    def exposed_run_and_wait(
-        f: Callable[P, Coroutine[None, None, R]]
+    def _(
+        f: Callable[P, R], name: str | None = None
     ) -> Callable[Concatenate[object, P], R]:
-        @expose
-        @wraps(f)
-        def wrapper(self, *args: P.args, **kwargs: P.kwargs) -> R:
-            coroutine = f(*args, **kwargs)
-            res = self.run_and_wait(coroutine)
-            return res
+        if name is not None:
+            f.__name__ = name
+        return cast(Callable[Concatenate[object, P], R], expose(f))
+
+    # Executions
+    get_graph_executions = _(get_graph_executions)
+    get_graph_execution_meta = _(get_graph_execution_meta)
+    create_graph_execution = _(create_graph_execution)
+    get_node_execution = _(get_node_execution)
+    get_node_executions = _(get_node_executions)
+    get_latest_node_execution = _(get_latest_node_execution)
+    update_node_execution_status = _(update_node_execution_status)
+    update_node_execution_status_batch = _(update_node_execution_status_batch)
+    update_graph_execution_start_time = _(update_graph_execution_start_time)
+    update_graph_execution_stats = _(update_graph_execution_stats)
+    upsert_execution_input = _(upsert_execution_input)
+    upsert_execution_output = _(upsert_execution_output)
+    get_execution_kv_data = _(get_execution_kv_data)
+    set_execution_kv_data = _(set_execution_kv_data)
+    get_block_error_stats = _(get_block_error_stats)
+
+    # Graphs
+    get_node = _(get_node)
+    get_graph = _(get_graph)
+    get_connected_output_nodes = _(get_connected_output_nodes)
+    get_graph_metadata = _(get_graph_metadata)
+
+    # Credits
+    spend_credits = _(_spend_credits, name="spend_credits")
+    get_credits = _(_get_credits, name="get_credits")
+
+    # User + User Metadata + User Integrations
+    get_user_integrations = _(get_user_integrations)
+    update_user_integrations = _(update_user_integrations)
+
+    # User Comms - async
+    get_active_user_ids_in_timerange = _(get_active_user_ids_in_timerange)
+    get_user_email_by_id = _(get_user_email_by_id)
+    get_user_email_verification = _(get_user_email_verification)
+    get_user_notification_preference = _(get_user_notification_preference)
+
+    # Notifications - async
+    create_or_add_to_user_notification_batch = _(
+        create_or_add_to_user_notification_batch
+    )
+    empty_user_notification_batch = _(empty_user_notification_batch)
+    get_all_batches_by_type = _(get_all_batches_by_type)
+    get_user_notification_batch = _(get_user_notification_batch)
+    get_user_notification_oldest_message_in_batch = _(
+        get_user_notification_oldest_message_in_batch
+    )
+
+    # Library
+    list_library_agents = _(list_library_agents)
+    add_store_agent_to_library = _(add_store_agent_to_library)
+
+    # Store
+    get_store_agents = _(get_store_agents)
+    get_store_agent_details = _(get_store_agent_details)
+
+    # Summary data - async
+    get_user_execution_summary_data = _(get_user_execution_summary_data)
 
-        # Register serializers for annotations on bare function
-        register_pydantic_serializers(f)
 
-        return wrapper
+class DatabaseManagerClient(AppServiceClient):
+    d = DatabaseManager
+    _ = endpoint_to_sync
+
+    @classmethod
+    def get_service_type(cls):
+        return DatabaseManager
 
     # Executions
-    create_graph_execution = exposed_run_and_wait(create_graph_execution)
-    get_execution_results = exposed_run_and_wait(get_execution_results)
-    get_incomplete_executions = exposed_run_and_wait(get_incomplete_executions)
-    get_latest_execution = exposed_run_and_wait(get_latest_execution)
-    update_execution_status = exposed_run_and_wait(update_execution_status)
-    update_graph_execution_stats = exposed_run_and_wait(update_graph_execution_stats)
-    update_node_execution_stats = exposed_run_and_wait(update_node_execution_stats)
-    upsert_execution_input = exposed_run_and_wait(upsert_execution_input)
-    upsert_execution_output = exposed_run_and_wait(upsert_execution_output)
+    get_graph_executions = _(d.get_graph_executions)
+    get_graph_execution_meta = _(d.get_graph_execution_meta)
+    get_node_executions = _(d.get_node_executions)
+    update_node_execution_status = _(d.update_node_execution_status)
+    update_graph_execution_start_time = _(d.update_graph_execution_start_time)
+    update_graph_execution_stats = _(d.update_graph_execution_stats)
+    upsert_execution_output = _(d.upsert_execution_output)
 
     # Graphs
-    get_node = exposed_run_and_wait(get_node)
-    get_graph = exposed_run_and_wait(get_graph)
+    get_graph_metadata = _(d.get_graph_metadata)
 
     # Credits
-    user_credit_model = get_user_credit_model()
-    get_or_refill_credit = cast(
-        Callable[[Any, str], int],
-        exposed_run_and_wait(user_credit_model.get_or_refill_credit),
+    spend_credits = _(d.spend_credits)
+    get_credits = _(d.get_credits)
+
+    # Block error monitoring
+    get_block_error_stats = _(d.get_block_error_stats)
+
+    # User Emails
+    get_user_email_by_id = _(d.get_user_email_by_id)
+
+    # Library
+    list_library_agents = _(d.list_library_agents)
+    add_store_agent_to_library = _(d.add_store_agent_to_library)
+
+    # Store
+    get_store_agents = _(d.get_store_agents)
+    get_store_agent_details = _(d.get_store_agent_details)
+
+
+class DatabaseManagerAsyncClient(AppServiceClient):
+    d = DatabaseManager
+
+    @classmethod
+    def get_service_type(cls):
+        return DatabaseManager
+
+    create_graph_execution = d.create_graph_execution
+    get_connected_output_nodes = d.get_connected_output_nodes
+    get_latest_node_execution = d.get_latest_node_execution
+    get_graph = d.get_graph
+    get_graph_metadata = d.get_graph_metadata
+    get_graph_execution_meta = d.get_graph_execution_meta
+    get_node = d.get_node
+    get_node_execution = d.get_node_execution
+    get_node_executions = d.get_node_executions
+    get_user_integrations = d.get_user_integrations
+    upsert_execution_input = d.upsert_execution_input
+    upsert_execution_output = d.upsert_execution_output
+    update_graph_execution_stats = d.update_graph_execution_stats
+    update_node_execution_status = d.update_node_execution_status
+    update_node_execution_status_batch = d.update_node_execution_status_batch
+    update_user_integrations = d.update_user_integrations
+    get_execution_kv_data = d.get_execution_kv_data
+    set_execution_kv_data = d.set_execution_kv_data
+
+    # User Comms
+    get_active_user_ids_in_timerange = d.get_active_user_ids_in_timerange
+    get_user_email_by_id = d.get_user_email_by_id
+    get_user_email_verification = d.get_user_email_verification
+    get_user_notification_preference = d.get_user_notification_preference
+
+    # Notifications
+    create_or_add_to_user_notification_batch = (
+        d.create_or_add_to_user_notification_batch
     )
-    spend_credits = cast(
-        Callable[[Any, str, int, str, dict[str, str], float, float], int],
-        exposed_run_and_wait(user_credit_model.spend_credits),
+    empty_user_notification_batch = d.empty_user_notification_batch
+    get_all_batches_by_type = d.get_all_batches_by_type
+    get_user_notification_batch = d.get_user_notification_batch
+    get_user_notification_oldest_message_in_batch = (
+        d.get_user_notification_oldest_message_in_batch
     )
 
-    # User + User Metadata + User Integrations
-    get_user_metadata = exposed_run_and_wait(get_user_metadata)
-    update_user_metadata = exposed_run_and_wait(update_user_metadata)
-    get_user_integrations = exposed_run_and_wait(get_user_integrations)
-    update_user_integrations = exposed_run_and_wait(update_user_integrations)
+    # Library
+    list_library_agents = d.list_library_agents
+    add_store_agent_to_library = d.add_store_agent_to_library
+
+    # Store
+    get_store_agents = d.get_store_agents
+    get_store_agent_details = d.get_store_agent_details
+
+    # Summary data
+    get_user_execution_summary_data = d.get_user_execution_summary_data
diff --git a/autogpt_platform/backend/backend/executor/manager.py b/autogpt_platform/backend/backend/executor/manager.py
index 4dd2709c89d7..5e38c285d9fa 100644
--- a/autogpt_platform/backend/backend/executor/manager.py
+++ b/autogpt_platform/backend/backend/executor/manager.py
@@ -1,110 +1,138 @@
-import atexit
+import asyncio
 import logging
-import multiprocessing
 import os
-import signal
-import sys
 import threading
-from concurrent.futures import Future, ProcessPoolExecutor
-from contextlib import contextmanager
-from multiprocessing.pool import AsyncResult, Pool
-from typing import TYPE_CHECKING, Any, Generator, TypeVar, cast
-
-from pydantic import BaseModel
-from redis.lock import Lock as RedisLock
+import time
+from collections import defaultdict
+from concurrent.futures import Future, ThreadPoolExecutor
+from contextlib import asynccontextmanager
+from typing import TYPE_CHECKING, Any, Optional, TypeVar, cast
+
+from pika.adapters.blocking_connection import BlockingChannel
+from pika.spec import Basic, BasicProperties
+from pydantic import JsonValue
+from redis.asyncio.lock import Lock as RedisLock
+
+from backend.blocks.io import AgentOutputBlock
+from backend.data.model import GraphExecutionStats, NodeExecutionStats
+from backend.data.notifications import (
+    AgentRunData,
+    LowBalanceData,
+    NotificationEventModel,
+    NotificationType,
+    ZeroBalanceData,
+)
+from backend.data.rabbitmq import SyncRabbitMQ
+from backend.executor.activity_status_generator import (
+    generate_activity_status_for_execution,
+)
+from backend.executor.utils import LogMetadata
+from backend.notifications.notifications import queue_notification
+from backend.util.exceptions import InsufficientBalanceError, ModerationError
 
 if TYPE_CHECKING:
-    from backend.executor import DatabaseManager
+    from backend.executor import DatabaseManagerClient, DatabaseManagerAsyncClient
 
-from autogpt_libs.utils.cache import thread_cached
+from prometheus_client import Gauge, start_http_server
 
 from backend.blocks.agent import AgentExecutorBlock
-from backend.data import redis
-from backend.data.block import Block, BlockData, BlockInput, BlockType, get_block
+from backend.data import redis_client as redis
+from backend.data.block import (
+    BlockData,
+    BlockInput,
+    BlockOutput,
+    BlockSchema,
+    get_block,
+)
+from backend.data.credit import UsageTransactionMetadata
 from backend.data.execution import (
     ExecutionQueue,
-    ExecutionResult,
     ExecutionStatus,
+    GraphExecution,
     GraphExecutionEntry,
     NodeExecutionEntry,
-    merge_execution_input,
+    NodeExecutionResult,
+    UserContext,
+)
+from backend.data.graph import Link, Node
+from backend.executor.utils import (
+    GRACEFUL_SHUTDOWN_TIMEOUT_SECONDS,
+    GRAPH_EXECUTION_CANCEL_QUEUE_NAME,
+    GRAPH_EXECUTION_QUEUE_NAME,
+    CancelExecutionEvent,
+    ExecutionOutputEntry,
+    NodeExecutionProgress,
+    block_usage_cost,
+    create_execution_queue_config,
+    execution_usage_cost,
     parse_execution_output,
+    validate_exec,
 )
-from backend.data.graph import GraphModel, Link, Node
-from backend.data.model import CREDENTIALS_FIELD_NAME, CredentialsMetaInput
 from backend.integrations.creds_manager import IntegrationCredentialsManager
+from backend.server.v2.AutoMod.manager import automod_manager
 from backend.util import json
-from backend.util.decorator import error_logged, time_measured
-from backend.util.logging import configure_logging
-from backend.util.process import set_service_name
-from backend.util.service import (
-    AppService,
-    close_service_client,
-    expose,
-    get_service_client,
+from backend.util.clients import (
+    get_async_execution_event_bus,
+    get_database_manager_async_client,
+    get_database_manager_client,
+    get_execution_event_bus,
+    get_notification_manager_client,
+)
+from backend.util.decorator import (
+    async_error_logged,
+    async_time_measured,
+    error_logged,
+    time_measured,
 )
+from backend.util.file import clean_exec_files
+from backend.util.logging import TruncatedLogger, configure_logging
+from backend.util.metrics import DiscordChannel
+from backend.util.process import AppProcess, set_service_name
+from backend.util.retry import continuous_retry, func_retry
 from backend.util.settings import Settings
-from backend.util.type import convert
 
-logger = logging.getLogger(__name__)
+_logger = logging.getLogger(__name__)
+logger = TruncatedLogger(_logger, prefix="[GraphExecutor]")
 settings = Settings()
 
+active_runs_gauge = Gauge(
+    "execution_manager_active_runs", "Number of active graph runs"
+)
+pool_size_gauge = Gauge(
+    "execution_manager_pool_size", "Maximum number of graph workers"
+)
+utilization_gauge = Gauge(
+    "execution_manager_utilization_ratio",
+    "Ratio of active graph runs to max graph workers",
+)
 
-class LogMetadata:
-    def __init__(
-        self,
-        user_id: str,
-        graph_eid: str,
-        graph_id: str,
-        node_eid: str,
-        node_id: str,
-        block_name: str,
-    ):
-        self.metadata = {
-            "component": "ExecutionManager",
-            "user_id": user_id,
-            "graph_eid": graph_eid,
-            "graph_id": graph_id,
-            "node_eid": node_eid,
-            "node_id": node_id,
-            "block_name": block_name,
-        }
-        self.prefix = f"[ExecutionManager|uid:{user_id}|gid:{graph_id}|nid:{node_id}]|geid:{graph_eid}|nid:{node_eid}|{block_name}]"
-
-    def info(self, msg: str, **extra):
-        msg = self._wrap(msg, **extra)
-        logger.info(msg, extra={"json_fields": {**self.metadata, **extra}})
-
-    def warning(self, msg: str, **extra):
-        msg = self._wrap(msg, **extra)
-        logger.warning(msg, extra={"json_fields": {**self.metadata, **extra}})
+# Thread-local storage for ExecutionProcessor instances
+_tls = threading.local()
 
-    def error(self, msg: str, **extra):
-        msg = self._wrap(msg, **extra)
-        logger.error(msg, extra={"json_fields": {**self.metadata, **extra}})
 
-    def debug(self, msg: str, **extra):
-        msg = self._wrap(msg, **extra)
-        logger.debug(msg, extra={"json_fields": {**self.metadata, **extra}})
+def init_worker():
+    """Initialize ExecutionProcessor instance in thread-local storage"""
+    _tls.processor = ExecutionProcessor()
+    _tls.processor.on_graph_executor_start()
 
-    def exception(self, msg: str, **extra):
-        msg = self._wrap(msg, **extra)
-        logger.exception(msg, extra={"json_fields": {**self.metadata, **extra}})
 
-    def _wrap(self, msg: str, **extra):
-        return f"{self.prefix} {msg} {extra}"
+def execute_graph(
+    graph_exec_entry: "GraphExecutionEntry", cancel_event: threading.Event
+):
+    """Execute graph using thread-local ExecutionProcessor instance"""
+    return _tls.processor.on_graph_execution(graph_exec_entry, cancel_event)
 
 
 T = TypeVar("T")
-ExecutionStream = Generator[NodeExecutionEntry, None, None]
 
 
-def execute_node(
-    db_client: "DatabaseManager",
+async def execute_node(
+    node: Node,
     creds_manager: IntegrationCredentialsManager,
     data: NodeExecutionEntry,
-    execution_stats: dict[str, Any] | None = None,
-) -> ExecutionStream:
+    execution_stats: NodeExecutionStats | None = None,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+) -> BlockOutput:
     """
     Execute a node in the graph. This will trigger a block execution on a node,
     persist the execution result, and return the subsequent node to be executed.
@@ -123,20 +151,10 @@ def execute_node(
     graph_id = data.graph_id
     node_exec_id = data.node_exec_id
     node_id = data.node_id
-
-    def update_execution(status: ExecutionStatus) -> ExecutionResult:
-        exec_update = db_client.update_execution_status(node_exec_id, status)
-        db_client.send_execution_update(exec_update)
-        return exec_update
-
-    node = db_client.get_node(node_id)
-
-    node_block = get_block(node.block_id)
-    if not node_block:
-        logger.error(f"Block {node.block_id} not found.")
-        return
+    node_block = node.block
 
     log_metadata = LogMetadata(
+        logger=_logger,
         user_id=user_id,
         graph_eid=graph_exec_id,
         graph_id=graph_id,
@@ -146,152 +164,142 @@ def update_execution(status: ExecutionStatus) -> ExecutionResult:
     )
 
     # Sanity check: validate the execution input.
-    input_data, error = validate_exec(node, data.data, resolve_input=False)
+    input_data, error = validate_exec(node, data.inputs, resolve_input=False)
     if input_data is None:
         log_metadata.error(f"Skip execution, input validation error: {error}")
-        db_client.upsert_execution_output(node_exec_id, "error", error)
-        update_execution(ExecutionStatus.FAILED)
+        yield "error", error
         return
 
     # Re-shape the input data for agent block.
     # AgentExecutorBlock specially separate the node input_data & its input_default.
     if isinstance(node_block, AgentExecutorBlock):
-        input_data = {**node.input_default, "data": input_data}
+        _input_data = AgentExecutorBlock.Input(**node.input_default)
+        _input_data.inputs = input_data
+        if nodes_input_masks:
+            _input_data.nodes_input_masks = nodes_input_masks
+        input_data = _input_data.model_dump()
+    data.inputs = input_data
 
     # Execute the node
     input_data_str = json.dumps(input_data)
     input_size = len(input_data_str)
-    log_metadata.info("Executed node with input", input=input_data_str)
-    update_execution(ExecutionStatus.RUNNING)
+    log_metadata.debug("Executed node with input", input=input_data_str)
+
+    # Inject extra execution arguments for the blocks via kwargs
+    extra_exec_kwargs: dict = {
+        "graph_id": graph_id,
+        "node_id": node_id,
+        "graph_exec_id": graph_exec_id,
+        "node_exec_id": node_exec_id,
+        "user_id": user_id,
+    }
+
+    # Add user context from NodeExecutionEntry
+    extra_exec_kwargs["user_context"] = data.user_context
 
-    extra_exec_kwargs = {}
     # Last-minute fetch credentials + acquire a system-wide read-write lock to prevent
     # changes during execution. ⚠️ This means a set of credentials can only be used by
     # one (running) block at a time; simultaneous execution of blocks using same
     # credentials is not supported.
     creds_lock = None
-    if CREDENTIALS_FIELD_NAME in input_data:
-        credentials_meta = CredentialsMetaInput(**input_data[CREDENTIALS_FIELD_NAME])
-        credentials, creds_lock = creds_manager.acquire(user_id, credentials_meta.id)
-        extra_exec_kwargs["credentials"] = credentials
+    input_model = cast(type[BlockSchema], node_block.input_schema)
+    for field_name, input_type in input_model.get_credentials_fields().items():
+        credentials_meta = input_type(**input_data[field_name])
+        credentials, creds_lock = await creds_manager.acquire(
+            user_id, credentials_meta.id
+        )
+        extra_exec_kwargs[field_name] = credentials
 
     output_size = 0
-    end_status = ExecutionStatus.COMPLETED
-    credit = db_client.get_or_refill_credit(user_id)
-    if credit < 0:
-        raise ValueError(f"Insufficient credit: {credit}")
-
     try:
-        for output_name, output_data in node_block.execute(
+        async for output_name, output_data in node_block.execute(
             input_data, **extra_exec_kwargs
         ):
+            output_data = json.convert_pydantic_to_json(output_data)
             output_size += len(json.dumps(output_data))
-            log_metadata.info("Node produced output", **{output_name: output_data})
-            db_client.upsert_execution_output(node_exec_id, output_name, output_data)
-
-            for execution in _enqueue_next_nodes(
-                db_client=db_client,
-                node=node,
-                output=(output_name, output_data),
-                user_id=user_id,
-                graph_exec_id=graph_exec_id,
-                graph_id=graph_id,
-                log_metadata=log_metadata,
-            ):
-                yield execution
-
-    except Exception as e:
-        end_status = ExecutionStatus.FAILED
-        error_msg = str(e)
-        log_metadata.exception(f"Node execution failed with error {error_msg}")
-        db_client.upsert_execution_output(node_exec_id, "error", error_msg)
-
-        for execution in _enqueue_next_nodes(
-            db_client=db_client,
-            node=node,
-            output=("error", error_msg),
-            user_id=user_id,
-            graph_exec_id=graph_exec_id,
-            graph_id=graph_id,
-            log_metadata=log_metadata,
-        ):
-            yield execution
-
-        raise e
+            log_metadata.debug("Node produced output", **{output_name: output_data})
+            yield output_name, output_data
     finally:
         # Ensure credentials are released even if execution fails
-        if creds_lock:
+        if creds_lock and (await creds_lock.locked()) and (await creds_lock.owned()):
             try:
-                creds_lock.release()
+                await creds_lock.release()
             except Exception as e:
                 log_metadata.error(f"Failed to release credentials lock: {e}")
 
-        # Update execution status and spend credits
-        res = update_execution(end_status)
-        if end_status == ExecutionStatus.COMPLETED:
-            s = input_size + output_size
-            t = (
-                (res.end_time - res.start_time).total_seconds()
-                if res.end_time and res.start_time
-                else 0
-            )
-            db_client.spend_credits(user_id, credit, node_block.id, input_data, s, t)
-
         # Update execution stats
         if execution_stats is not None:
-            execution_stats.update(node_block.execution_stats)
-            execution_stats["input_size"] = input_size
-            execution_stats["output_size"] = output_size
+            execution_stats += node_block.execution_stats
+            execution_stats.input_size = input_size
+            execution_stats.output_size = output_size
 
 
-def _enqueue_next_nodes(
-    db_client: "DatabaseManager",
+async def _enqueue_next_nodes(
+    db_client: "DatabaseManagerAsyncClient",
     node: Node,
     output: BlockData,
     user_id: str,
     graph_exec_id: str,
     graph_id: str,
     log_metadata: LogMetadata,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]],
+    user_context: UserContext,
 ) -> list[NodeExecutionEntry]:
-    def add_enqueued_execution(
-        node_exec_id: str, node_id: str, data: BlockInput
+    async def add_enqueued_execution(
+        node_exec_id: str, node_id: str, block_id: str, data: BlockInput
     ) -> NodeExecutionEntry:
-        exec_update = db_client.update_execution_status(
-            node_exec_id, ExecutionStatus.QUEUED, data
+        await async_update_node_execution_status(
+            db_client=db_client,
+            exec_id=node_exec_id,
+            status=ExecutionStatus.QUEUED,
+            execution_data=data,
         )
-        db_client.send_execution_update(exec_update)
         return NodeExecutionEntry(
             user_id=user_id,
             graph_exec_id=graph_exec_id,
             graph_id=graph_id,
             node_exec_id=node_exec_id,
             node_id=node_id,
-            data=data,
+            block_id=block_id,
+            inputs=data,
+            user_context=user_context,
         )
 
-    def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
+    async def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
+        try:
+            return await _register_next_executions(node_link)
+        except Exception as e:
+            log_metadata.exception(f"Failed to register next executions: {e}")
+            return []
+
+    async def _register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
         enqueued_executions = []
         next_output_name = node_link.source_name
         next_input_name = node_link.sink_name
         next_node_id = node_link.sink_id
 
+        output_name, _ = output
         next_data = parse_execution_output(output, next_output_name)
-        if next_data is None:
+        if next_data is None and output_name != next_output_name:
             return enqueued_executions
-
-        next_node = db_client.get_node(next_node_id)
+        next_node = await db_client.get_node(next_node_id)
 
         # Multiple node can register the same next node, we need this to be atomic
         # To avoid same execution to be enqueued multiple times,
         # Or the same input to be consumed multiple times.
-        with synchronized(f"upsert_input-{next_node_id}-{graph_exec_id}"):
+        async with synchronized(f"upsert_input-{next_node_id}-{graph_exec_id}"):
             # Add output data to the earliest incomplete execution, or create a new one.
-            next_node_exec_id, next_node_input = db_client.upsert_execution_input(
+            next_node_exec_id, next_node_input = await db_client.upsert_execution_input(
                 node_id=next_node_id,
                 graph_exec_id=graph_exec_id,
                 input_name=next_input_name,
                 input_data=next_data,
             )
+            await async_update_node_execution_status(
+                db_client=db_client,
+                exec_id=next_node_exec_id,
+                status=ExecutionStatus.INCOMPLETE,
+            )
 
             # Complete missing static input pins data using the last execution input.
             static_link_names = {
@@ -300,13 +308,20 @@ def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
                 if link.is_static and link.sink_name not in next_node_input
             }
             if static_link_names and (
-                latest_execution := db_client.get_latest_execution(
+                latest_execution := await db_client.get_latest_node_execution(
                     next_node_id, graph_exec_id
                 )
             ):
                 for name in static_link_names:
                     next_node_input[name] = latest_execution.input_data.get(name)
 
+            # Apply node input overrides
+            node_input_mask = None
+            if nodes_input_masks and (
+                node_input_mask := nodes_input_masks.get(next_node.id)
+            ):
+                next_node_input.update(node_input_mask)
+
             # Validate the input data for the next node.
             next_node_input, validation_msg = validate_exec(next_node, next_node_input)
             suffix = f"{next_output_name}>{next_input_name}~{next_node_exec_id}:{validation_msg}"
@@ -319,7 +334,12 @@ def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
             # Input is complete, enqueue the execution.
             log_metadata.info(f"Enqueued {suffix}")
             enqueued_executions.append(
-                add_enqueued_execution(next_node_exec_id, next_node_id, next_node_input)
+                await add_enqueued_execution(
+                    node_exec_id=next_node_exec_id,
+                    node_id=next_node_id,
+                    block_id=next_node.block_id,
+                    data=next_node_input,
+                )
             )
 
             # Next execution stops here if the link is not static.
@@ -328,8 +348,10 @@ def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
 
             # If link is static, there could be some incomplete executions waiting for it.
             # Load and complete the input missing input data, and try to re-enqueue them.
-            for iexec in db_client.get_incomplete_executions(
-                next_node_id, graph_exec_id
+            for iexec in await db_client.get_node_executions(
+                node_id=next_node_id,
+                graph_exec_id=graph_exec_id,
+                statuses=[ExecutionStatus.INCOMPLETE],
             ):
                 idata = iexec.input_data
                 ineid = iexec.node_exec_id
@@ -342,6 +364,10 @@ def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
                 for input_name in static_link_names:
                     idata[input_name] = next_node_input[input_name]
 
+                # Apply node input overrides
+                if node_input_mask:
+                    idata.update(node_input_mask)
+
                 idata, msg = validate_exec(next_node, idata)
                 suffix = f"{next_output_name}>{next_input_name}~{ineid}:{msg}"
                 if not idata:
@@ -349,97 +375,30 @@ def register_next_executions(node_link: Link) -> list[NodeExecutionEntry]:
                     continue
                 log_metadata.info(f"Enqueueing static-link execution {suffix}")
                 enqueued_executions.append(
-                    add_enqueued_execution(iexec.node_exec_id, next_node_id, idata)
+                    await add_enqueued_execution(
+                        node_exec_id=iexec.node_exec_id,
+                        node_id=next_node_id,
+                        block_id=next_node.block_id,
+                        data=idata,
+                    )
                 )
             return enqueued_executions
 
     return [
         execution
         for link in node.output_links
-        for execution in register_next_executions(link)
+        for execution in await register_next_executions(link)
     ]
 
 
-def validate_exec(
-    node: Node,
-    data: BlockInput,
-    resolve_input: bool = True,
-) -> tuple[BlockInput | None, str]:
-    """
-    Validate the input data for a node execution.
-
-    Args:
-        node: The node to execute.
-        data: The input data for the node execution.
-        resolve_input: Whether to resolve dynamic pins into dict/list/object.
-
-    Returns:
-        A tuple of the validated data and the block name.
-        If the data is invalid, the first element will be None, and the second element
-        will be an error message.
-        If the data is valid, the first element will be the resolved input data, and
-        the second element will be the block name.
-    """
-    node_block: Block | None = get_block(node.block_id)
-    if not node_block:
-        return None, f"Block for {node.block_id} not found."
-
-    if isinstance(node_block, AgentExecutorBlock):
-        # Validate the execution metadata for the agent executor block.
-        try:
-            exec_data = AgentExecutorBlock.Input(**node.input_default)
-        except Exception as e:
-            return None, f"Input data doesn't match {node_block.name}: {str(e)}"
-
-        # Validation input
-        input_schema = exec_data.input_schema
-        required_fields = set(input_schema["required"])
-        input_default = exec_data.data
-    else:
-        # Convert non-matching data types to the expected input schema.
-        for name, data_type in node_block.input_schema.__annotations__.items():
-            if (value := data.get(name)) and (type(value) is not data_type):
-                data[name] = convert(value, data_type)
-
-        # Validation input
-        input_schema = node_block.input_schema.jsonschema()
-        required_fields = node_block.input_schema.get_required_fields()
-        input_default = node.input_default
-
-    # Input data (without default values) should contain all required fields.
-    error_prefix = f"Input data missing or mismatch for `{node_block.name}`:"
-    input_fields_from_nodes = {link.sink_name for link in node.input_links}
-    if not input_fields_from_nodes.issubset(data):
-        return None, f"{error_prefix} {input_fields_from_nodes - set(data)}"
-
-    # Merge input data with default values and resolve dynamic dict/list/object pins.
-    data = {**input_default, **data}
-    if resolve_input:
-        data = merge_execution_input(data)
-
-    # Input data post-merge should contain all required fields from the schema.
-    if not required_fields.issubset(data):
-        return None, f"{error_prefix} {required_fields - set(data)}"
-
-    # Last validation: Validate the input values against the schema.
-    if error := json.validate_with_jsonschema(schema=input_schema, data=data):
-        error_message = f"{error_prefix} {error}"
-        logger.error(error_message)
-        return None, error_message
-
-    return data, node_block.name
-
-
-class Executor:
+class ExecutionProcessor:
     """
     This class contains event handlers for the process pool executor events.
 
     The main events are:
-        on_node_executor_start: Initialize the process that executes the node.
-        on_node_execution: Execution logic for a node.
-
         on_graph_executor_start: Initialize the process that executes the graph.
         on_graph_execution: Execution logic for a graph.
+        on_node_execution: Execution logic for a node.
 
     The execution flow:
         1. Graph execution request is added to the queue.
@@ -455,56 +414,16 @@ class Executor:
         9. Node executor enqueues the next executed nodes to the node execution queue.
     """
 
-    @classmethod
-    def on_node_executor_start(cls):
-        configure_logging()
-        set_service_name("NodeExecutor")
-        redis.connect()
-        cls.pid = os.getpid()
-        cls.db_client = get_db_client()
-        cls.creds_manager = IntegrationCredentialsManager()
-
-        # Set up shutdown handlers
-        cls.shutdown_lock = threading.Lock()
-        atexit.register(cls.on_node_executor_stop)  # handle regular shutdown
-        signal.signal(  # handle termination
-            signal.SIGTERM, lambda _, __: cls.on_node_executor_sigterm()
-        )
-
-    @classmethod
-    def on_node_executor_stop(cls):
-        if not cls.shutdown_lock.acquire(blocking=False):
-            return  # already shutting down
-
-        logger.info(f"[on_node_executor_stop {cls.pid}] ⏳ Releasing locks...")
-        cls.creds_manager.release_all_locks()
-        logger.info(f"[on_node_executor_stop {cls.pid}] ⏳ Disconnecting Redis...")
-        redis.disconnect()
-        logger.info(f"[on_node_executor_stop {cls.pid}] ⏳ Disconnecting DB manager...")
-        close_service_client(cls.db_client)
-        logger.info(f"[on_node_executor_stop {cls.pid}] ✅ Finished cleanup")
-
-    @classmethod
-    def on_node_executor_sigterm(cls):
-        llprint(f"[on_node_executor_sigterm {cls.pid}] ⚠️ SIGTERM received")
-        if not cls.shutdown_lock.acquire(blocking=False):
-            return  # already shutting down
-
-        llprint(f"[on_node_executor_stop {cls.pid}] ⏳ Releasing locks...")
-        cls.creds_manager.release_all_locks()
-        llprint(f"[on_node_executor_stop {cls.pid}] ⏳ Disconnecting Redis...")
-        redis.disconnect()
-        llprint(f"[on_node_executor_stop {cls.pid}] ✅ Finished cleanup")
-        sys.exit(0)
-
-    @classmethod
-    @error_logged
-    def on_node_execution(
-        cls,
-        q: ExecutionQueue[NodeExecutionEntry],
+    @async_error_logged(swallow=True)
+    async def on_node_execution(
+        self,
         node_exec: NodeExecutionEntry,
-    ) -> dict[str, Any]:
+        node_exec_progress: NodeExecutionProgress,
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]],
+        graph_stats_pair: tuple[GraphExecutionStats, threading.Lock],
+    ) -> NodeExecutionStats:
         log_metadata = LogMetadata(
+            logger=_logger,
             user_id=node_exec.user_id,
             graph_eid=node_exec.graph_exec_id,
             graph_id=node_exec.graph_id,
@@ -512,78 +431,161 @@ def on_node_execution(
             node_id=node_exec.node_id,
             block_name="-",
         )
+        db_client = get_db_async_client()
+        node = await db_client.get_node(node_exec.node_id)
+        execution_stats = NodeExecutionStats()
 
-        execution_stats = {}
-        timing_info, _ = cls._on_node_execution(
-            q, node_exec, log_metadata, execution_stats
+        timing_info, status = await self._on_node_execution(
+            node=node,
+            node_exec=node_exec,
+            node_exec_progress=node_exec_progress,
+            stats=execution_stats,
+            db_client=db_client,
+            log_metadata=log_metadata,
+            nodes_input_masks=nodes_input_masks,
         )
-        execution_stats["walltime"] = timing_info.wall_time
-        execution_stats["cputime"] = timing_info.cpu_time
-
-        cls.db_client.update_node_execution_stats(
-            node_exec.node_exec_id, execution_stats
+        if isinstance(status, BaseException):
+            raise status
+
+        execution_stats.walltime = timing_info.wall_time
+        execution_stats.cputime = timing_info.cpu_time
+
+        graph_stats, graph_stats_lock = graph_stats_pair
+        with graph_stats_lock:
+            graph_stats.node_count += 1 + execution_stats.extra_steps
+            graph_stats.nodes_cputime += execution_stats.cputime
+            graph_stats.nodes_walltime += execution_stats.walltime
+            graph_stats.cost += execution_stats.extra_cost
+            if isinstance(execution_stats.error, Exception):
+                graph_stats.node_error_count += 1
+
+        node_error = execution_stats.error
+        node_stats = execution_stats.model_dump()
+        if node_error and not isinstance(node_error, str):
+            node_stats["error"] = str(node_error) or node_stats.__class__.__name__
+
+        await async_update_node_execution_status(
+            db_client=db_client,
+            exec_id=node_exec.node_exec_id,
+            status=status,
+            stats=node_stats,
+        )
+        await async_update_graph_execution_state(
+            db_client=db_client,
+            graph_exec_id=node_exec.graph_exec_id,
+            stats=graph_stats,
         )
+
         return execution_stats
 
-    @classmethod
-    @time_measured
-    def _on_node_execution(
-        cls,
-        q: ExecutionQueue[NodeExecutionEntry],
+    @async_time_measured
+    async def _on_node_execution(
+        self,
+        node: Node,
         node_exec: NodeExecutionEntry,
+        node_exec_progress: NodeExecutionProgress,
+        stats: NodeExecutionStats,
+        db_client: "DatabaseManagerAsyncClient",
         log_metadata: LogMetadata,
-        stats: dict[str, Any] | None = None,
-    ):
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+    ) -> ExecutionStatus:
+        status = ExecutionStatus.RUNNING
+
+        async def persist_output(output_name: str, output_data: Any) -> None:
+            await db_client.upsert_execution_output(
+                node_exec_id=node_exec.node_exec_id,
+                output_name=output_name,
+                output_data=output_data,
+            )
+            if exec_update := await db_client.get_node_execution(
+                node_exec.node_exec_id
+            ):
+                await send_async_execution_update(exec_update)
+
+            node_exec_progress.add_output(
+                ExecutionOutputEntry(
+                    node=node,
+                    node_exec_id=node_exec.node_exec_id,
+                    data=(output_name, output_data),
+                )
+            )
+
         try:
             log_metadata.info(f"Start node execution {node_exec.node_exec_id}")
-            for execution in execute_node(
-                cls.db_client, cls.creds_manager, node_exec, stats
+            await async_update_node_execution_status(
+                db_client=db_client,
+                exec_id=node_exec.node_exec_id,
+                status=ExecutionStatus.RUNNING,
+            )
+
+            async for output_name, output_data in execute_node(
+                node=node,
+                creds_manager=self.creds_manager,
+                data=node_exec,
+                execution_stats=stats,
+                nodes_input_masks=nodes_input_masks,
             ):
-                q.add(execution)
+                await persist_output(output_name, output_data)
+
             log_metadata.info(f"Finished node execution {node_exec.node_exec_id}")
-        except Exception as e:
-            log_metadata.exception(
-                f"Failed node execution {node_exec.node_exec_id}: {e}"
-            )
+            status = ExecutionStatus.COMPLETED
+
+        except BaseException as e:
+            stats.error = e
+
+            if isinstance(e, ValueError):
+                # Avoid user error being marked as an actual error.
+                log_metadata.info(
+                    f"Expected failure on node execution {node_exec.node_exec_id}: {type(e).__name__} - {e}"
+                )
+                status = ExecutionStatus.FAILED
+            elif isinstance(e, Exception):
+                # If the exception is not a ValueError, it is unexpected.
+                log_metadata.exception(
+                    f"Unexpected failure on node execution {node_exec.node_exec_id}: {type(e).__name__} - {e}"
+                )
+                status = ExecutionStatus.FAILED
+            else:
+                # CancelledError or SystemExit
+                log_metadata.warning(
+                    f"Interruption error on node execution {node_exec.node_exec_id}: {type(e).__name__}"
+                )
+                status = ExecutionStatus.TERMINATED
+
+        finally:
+            if status == ExecutionStatus.FAILED and stats.error is not None:
+                await persist_output(
+                    "error", str(stats.error) or type(stats.error).__name__
+                )
+
+        return status
 
-    @classmethod
-    def on_graph_executor_start(cls):
+    @func_retry
+    def on_graph_executor_start(self):
         configure_logging()
         set_service_name("GraphExecutor")
-
-        cls.db_client = get_db_client()
-        cls.pool_size = settings.config.num_node_workers
-        cls.pid = os.getpid()
-        cls._init_node_executor_pool()
-        logger.info(
-            f"Graph executor {cls.pid} started with {cls.pool_size} node workers"
+        self.tid = threading.get_ident()
+        self.creds_manager = IntegrationCredentialsManager()
+        self.node_execution_loop = asyncio.new_event_loop()
+        self.node_evaluation_loop = asyncio.new_event_loop()
+        self.node_execution_thread = threading.Thread(
+            target=self.node_execution_loop.run_forever, daemon=True
         )
-
-        # Set up shutdown handler
-        atexit.register(cls.on_graph_executor_stop)
-
-    @classmethod
-    def on_graph_executor_stop(cls):
-        prefix = f"[on_graph_executor_stop {cls.pid}]"
-        logger.info(f"{prefix} ⏳ Terminating node executor pool...")
-        cls.executor.terminate()
-        logger.info(f"{prefix} ⏳ Disconnecting DB manager...")
-        close_service_client(cls.db_client)
-        logger.info(f"{prefix} ✅ Finished cleanup")
-
-    @classmethod
-    def _init_node_executor_pool(cls):
-        cls.executor = Pool(
-            processes=cls.pool_size,
-            initializer=cls.on_node_executor_start,
+        self.node_evaluation_thread = threading.Thread(
+            target=self.node_evaluation_loop.run_forever, daemon=True
         )
+        self.node_execution_thread.start()
+        self.node_evaluation_thread.start()
+        logger.info(f"[GraphExecutor] {self.tid} started")
 
-    @classmethod
-    @error_logged
+    @error_logged(swallow=False)
     def on_graph_execution(
-        cls, graph_exec: GraphExecutionEntry, cancel: threading.Event
+        self,
+        graph_exec: GraphExecutionEntry,
+        cancel: threading.Event,
     ):
         log_metadata = LogMetadata(
+            logger=_logger,
             user_id=graph_exec.user_id,
             graph_eid=graph_exec.graph_exec_id,
             graph_id=graph_exec.graph_id,
@@ -591,369 +593,1100 @@ def on_graph_execution(
             node_eid="*",
             block_name="-",
         )
-        timing_info, (exec_stats, error) = cls._on_graph_execution(
-            graph_exec, cancel, log_metadata
+        db_client = get_db_client()
+
+        exec_meta = db_client.get_graph_execution_meta(
+            user_id=graph_exec.user_id,
+            execution_id=graph_exec.graph_exec_id,
         )
-        exec_stats["walltime"] = timing_info.wall_time
-        exec_stats["cputime"] = timing_info.cpu_time
-        exec_stats["error"] = str(error) if error else None
-        result = cls.db_client.update_graph_execution_stats(
-            graph_exec_id=graph_exec.graph_exec_id,
-            stats=exec_stats,
+        if exec_meta is None:
+            log_metadata.warning(
+                f"Skipped graph execution #{graph_exec.graph_exec_id}, the graph execution is not found."
+            )
+            return
+
+        if exec_meta.status == ExecutionStatus.QUEUED:
+            log_metadata.info(f"⚙️ Starting graph execution #{graph_exec.graph_exec_id}")
+            exec_meta.status = ExecutionStatus.RUNNING
+            send_execution_update(
+                db_client.update_graph_execution_start_time(graph_exec.graph_exec_id)
+            )
+        elif exec_meta.status == ExecutionStatus.RUNNING:
+            log_metadata.info(
+                f"⚙️ Graph execution #{graph_exec.graph_exec_id} is already running, continuing where it left off."
+            )
+        elif exec_meta.status == ExecutionStatus.FAILED:
+            exec_meta.status = ExecutionStatus.RUNNING
+            log_metadata.info(
+                f"⚙️ Graph execution #{graph_exec.graph_exec_id} was disturbed, continuing where it left off."
+            )
+            update_graph_execution_state(
+                db_client=db_client,
+                graph_exec_id=graph_exec.graph_exec_id,
+                status=ExecutionStatus.RUNNING,
+            )
+        else:
+            log_metadata.warning(
+                f"Skipped graph execution {graph_exec.graph_exec_id}, the graph execution status is `{exec_meta.status}`."
+            )
+            return
+
+        if exec_meta.stats is None:
+            exec_stats = GraphExecutionStats()
+        else:
+            exec_stats = exec_meta.stats.to_db()
+
+        timing_info, status = self._on_graph_execution(
+            graph_exec=graph_exec,
+            cancel=cancel,
+            log_metadata=log_metadata,
+            execution_stats=exec_stats,
         )
-        cls.db_client.send_execution_update(result)
+        exec_stats.walltime += timing_info.wall_time
+        exec_stats.cputime += timing_info.cpu_time
+
+        try:
+            # Failure handling
+            if isinstance(status, BaseException):
+                raise status
+            exec_meta.status = status
+
+            # Activity status handling
+            activity_status = asyncio.run_coroutine_threadsafe(
+                generate_activity_status_for_execution(
+                    graph_exec_id=graph_exec.graph_exec_id,
+                    graph_id=graph_exec.graph_id,
+                    graph_version=graph_exec.graph_version,
+                    execution_stats=exec_stats,
+                    db_client=get_db_async_client(),
+                    user_id=graph_exec.user_id,
+                    execution_status=status,
+                ),
+                self.node_execution_loop,
+            ).result(timeout=60.0)
+            if activity_status is not None:
+                exec_stats.activity_status = activity_status
+                log_metadata.info(f"Generated activity status: {activity_status}")
+            else:
+                log_metadata.debug(
+                    "Activity status generation disabled, not setting field"
+                )
+
+            # Communication handling
+            self._handle_agent_run_notif(db_client, graph_exec, exec_stats)
+
+        finally:
+            update_graph_execution_state(
+                db_client=db_client,
+                graph_exec_id=graph_exec.graph_exec_id,
+                status=exec_meta.status,
+                stats=exec_stats,
+            )
+
+    def _charge_usage(
+        self,
+        node_exec: NodeExecutionEntry,
+        execution_count: int,
+    ) -> tuple[int, int]:
+        total_cost = 0
+        remaining_balance = 0
+        db_client = get_db_client()
+        block = get_block(node_exec.block_id)
+        if not block:
+            logger.error(f"Block {node_exec.block_id} not found.")
+            return total_cost, 0
+
+        cost, matching_filter = block_usage_cost(
+            block=block, input_data=node_exec.inputs
+        )
+        if cost > 0:
+            remaining_balance = db_client.spend_credits(
+                user_id=node_exec.user_id,
+                cost=cost,
+                metadata=UsageTransactionMetadata(
+                    graph_exec_id=node_exec.graph_exec_id,
+                    graph_id=node_exec.graph_id,
+                    node_exec_id=node_exec.node_exec_id,
+                    node_id=node_exec.node_id,
+                    block_id=node_exec.block_id,
+                    block=block.name,
+                    input=matching_filter,
+                    reason=f"Ran block {node_exec.block_id} {block.name}",
+                ),
+            )
+            total_cost += cost
+
+        cost, usage_count = execution_usage_cost(execution_count)
+        if cost > 0:
+            remaining_balance = db_client.spend_credits(
+                user_id=node_exec.user_id,
+                cost=cost,
+                metadata=UsageTransactionMetadata(
+                    graph_exec_id=node_exec.graph_exec_id,
+                    graph_id=node_exec.graph_id,
+                    input={
+                        "execution_count": usage_count,
+                        "charge": "Execution Cost",
+                    },
+                    reason=f"Execution Cost for {usage_count} blocks of ex_id:{node_exec.graph_exec_id} g_id:{node_exec.graph_id}",
+                ),
+            )
+            total_cost += cost
+
+        return total_cost, remaining_balance
 
-    @classmethod
     @time_measured
     def _on_graph_execution(
-        cls,
+        self,
         graph_exec: GraphExecutionEntry,
         cancel: threading.Event,
         log_metadata: LogMetadata,
-    ) -> tuple[dict[str, Any], Exception | None]:
+        execution_stats: GraphExecutionStats,
+    ) -> ExecutionStatus:
         """
         Returns:
-            The execution statistics of the graph execution.
-            The error that occurred during the execution.
+            dict: The execution statistics of the graph execution.
+            ExecutionStatus: The final status of the graph execution.
+            Exception | None: The error that occurred during the execution, if any.
         """
-        log_metadata.info(f"Start graph execution {graph_exec.graph_exec_id}")
-        exec_stats = {
-            "nodes_walltime": 0,
-            "nodes_cputime": 0,
-            "node_count": 0,
-        }
-        error = None
-        finished = False
-
-        def cancel_handler():
-            while not cancel.is_set():
-                cancel.wait(1)
-            if finished:
-                return
-            cls.executor.terminate()
-            log_metadata.info(f"Terminated graph execution {graph_exec.graph_exec_id}")
-            cls._init_node_executor_pool()
-
-        cancel_thread = threading.Thread(target=cancel_handler)
-        cancel_thread.start()
+        execution_status: ExecutionStatus = ExecutionStatus.RUNNING
+        error: Exception | None = None
+        db_client = get_db_client()
+        execution_stats_lock = threading.Lock()
+
+        # State holders ----------------------------------------------------
+        running_node_execution: dict[str, NodeExecutionProgress] = defaultdict(
+            NodeExecutionProgress
+        )
+        running_node_evaluation: dict[str, Future] = {}
+        execution_queue = ExecutionQueue[NodeExecutionEntry]()
 
         try:
-            queue = ExecutionQueue[NodeExecutionEntry]()
-            for node_exec in graph_exec.start_node_execs:
-                queue.add(node_exec)
-
-            running_executions: dict[str, AsyncResult] = {}
-
-            def make_exec_callback(exec_data: NodeExecutionEntry):
-                node_id = exec_data.node_id
-
-                def callback(result: object):
-                    running_executions.pop(node_id)
-                    nonlocal exec_stats
-                    if isinstance(result, dict):
-                        exec_stats["node_count"] += 1
-                        exec_stats["nodes_cputime"] += result.get("cputime", 0)
-                        exec_stats["nodes_walltime"] += result.get("walltime", 0)
+            if db_client.get_credits(graph_exec.user_id) <= 0:
+                raise InsufficientBalanceError(
+                    user_id=graph_exec.user_id,
+                    message="You have no credits left to run an agent.",
+                    balance=0,
+                    amount=1,
+                )
 
-                return callback
+            # Input moderation
+            try:
+                if moderation_error := asyncio.run_coroutine_threadsafe(
+                    automod_manager.moderate_graph_execution_inputs(
+                        db_client=get_db_async_client(),
+                        graph_exec=graph_exec,
+                    ),
+                    self.node_evaluation_loop,
+                ).result(timeout=30.0):
+                    raise moderation_error
+            except asyncio.TimeoutError:
+                log_metadata.warning(
+                    f"Input moderation timed out for graph execution {graph_exec.graph_exec_id}, bypassing moderation and continuing execution"
+                )
+                # Continue execution without moderation
+
+            # ------------------------------------------------------------
+            # Pre‑populate queue ---------------------------------------
+            # ------------------------------------------------------------
+            for node_exec in db_client.get_node_executions(
+                graph_exec.graph_exec_id,
+                statuses=[
+                    ExecutionStatus.RUNNING,
+                    ExecutionStatus.QUEUED,
+                    ExecutionStatus.TERMINATED,
+                ],
+            ):
+                node_entry = node_exec.to_node_execution_entry(graph_exec.user_context)
+                execution_queue.add(node_entry)
 
-            while not queue.empty():
+            # ------------------------------------------------------------
+            # Main dispatch / polling loop -----------------------------
+            # ------------------------------------------------------------
+            while not execution_queue.empty():
                 if cancel.is_set():
-                    error = RuntimeError("Execution is cancelled")
-                    return exec_stats, error
-
-                exec_data = queue.get()
+                    break
 
-                # Avoid parallel execution of the same node.
-                execution = running_executions.get(exec_data.node_id)
-                if execution and not execution.ready():
-                    # TODO (performance improvement):
-                    #   Wait for the completion of the same node execution is blocking.
-                    #   To improve this we need a separate queue for each node.
-                    #   Re-enqueueing the data back to the queue will disrupt the order.
-                    execution.wait()
+                queued_node_exec = execution_queue.get()
 
                 log_metadata.debug(
-                    f"Dispatching node execution {exec_data.node_exec_id} "
-                    f"for node {exec_data.node_id}",
-                )
-                running_executions[exec_data.node_id] = cls.executor.apply_async(
-                    cls.on_node_execution,
-                    (queue, exec_data),
-                    callback=make_exec_callback(exec_data),
+                    f"Dispatching node execution {queued_node_exec.node_exec_id} "
+                    f"for node {queued_node_exec.node_id}",
                 )
 
-                # Avoid terminating graph execution when some nodes are still running.
-                while queue.empty() and running_executions:
-                    log_metadata.debug(
-                        f"Queue empty; running nodes: {list(running_executions.keys())}"
+                # Charge usage (may raise) ------------------------------
+                try:
+                    cost, remaining_balance = self._charge_usage(
+                        node_exec=queued_node_exec,
+                        execution_count=increment_execution_count(graph_exec.user_id),
+                    )
+                    with execution_stats_lock:
+                        execution_stats.cost += cost
+                    # Check if we crossed the low balance threshold
+                    self._handle_low_balance(
+                        db_client=db_client,
+                        user_id=graph_exec.user_id,
+                        current_balance=remaining_balance,
+                        transaction_cost=cost,
+                    )
+                except InsufficientBalanceError as balance_error:
+                    error = balance_error  # Set error to trigger FAILED status
+                    node_exec_id = queued_node_exec.node_exec_id
+                    db_client.upsert_execution_output(
+                        node_exec_id=node_exec_id,
+                        output_name="error",
+                        output_data=str(error),
+                    )
+                    update_node_execution_status(
+                        db_client=db_client,
+                        exec_id=node_exec_id,
+                        status=ExecutionStatus.FAILED,
+                    )
+
+                    self._handle_insufficient_funds_notif(
+                        db_client,
+                        graph_exec.user_id,
+                        graph_exec.graph_id,
+                        error,
                     )
-                    for node_id, execution in list(running_executions.items()):
+                    # Gracefully stop the execution loop
+                    break
+
+                # Add input overrides -----------------------------
+                node_id = queued_node_exec.node_id
+                if (nodes_input_masks := graph_exec.nodes_input_masks) and (
+                    node_input_mask := nodes_input_masks.get(node_id)
+                ):
+                    queued_node_exec.inputs.update(node_input_mask)
+
+                # Kick off async node execution -------------------------
+                node_execution_task = asyncio.run_coroutine_threadsafe(
+                    self.on_node_execution(
+                        node_exec=queued_node_exec,
+                        node_exec_progress=running_node_execution[node_id],
+                        nodes_input_masks=nodes_input_masks,
+                        graph_stats_pair=(
+                            execution_stats,
+                            execution_stats_lock,
+                        ),
+                    ),
+                    self.node_execution_loop,
+                )
+                running_node_execution[node_id].add_task(
+                    node_exec_id=queued_node_exec.node_exec_id,
+                    task=node_execution_task,
+                )
+
+                # Poll until queue refills or all inflight work done ----
+                while execution_queue.empty() and (
+                    running_node_execution or running_node_evaluation
+                ):
+                    if cancel.is_set():
+                        break
+
+                    # --------------------------------------------------
+                    # Handle inflight evaluations ---------------------
+                    # --------------------------------------------------
+                    node_output_found = False
+                    for node_id, inflight_exec in list(running_node_execution.items()):
                         if cancel.is_set():
-                            error = RuntimeError("Execution is cancelled")
-                            return exec_stats, error
+                            break
+
+                        # node evaluation future -----------------
+                        if inflight_eval := running_node_evaluation.get(node_id):
+                            if not inflight_eval.done():
+                                continue
+                            try:
+                                inflight_eval.result(timeout=0)
+                                running_node_evaluation.pop(node_id)
+                            except Exception as e:
+                                log_metadata.error(f"Node eval #{node_id} failed: {e}")
+
+                        # node execution future ---------------------------
+                        if inflight_exec.is_done():
+                            running_node_execution.pop(node_id)
+                            continue
+
+                        if output := inflight_exec.pop_output():
+                            node_output_found = True
+                            running_node_evaluation[node_id] = (
+                                asyncio.run_coroutine_threadsafe(
+                                    self._process_node_output(
+                                        output=output,
+                                        node_id=node_id,
+                                        graph_exec=graph_exec,
+                                        log_metadata=log_metadata,
+                                        nodes_input_masks=nodes_input_masks,
+                                        execution_queue=execution_queue,
+                                    ),
+                                    self.node_evaluation_loop,
+                                )
+                            )
+                    if (
+                        not node_output_found
+                        and execution_queue.empty()
+                        and (running_node_execution or running_node_evaluation)
+                    ):
+                        # There is nothing to execute, and no output to process, let's relax for a while.
+                        time.sleep(0.1)
+
+            # loop done --------------------------------------------------
+
+            # Output moderation
+            try:
+                if moderation_error := asyncio.run_coroutine_threadsafe(
+                    automod_manager.moderate_graph_execution_outputs(
+                        db_client=get_db_async_client(),
+                        graph_exec_id=graph_exec.graph_exec_id,
+                        user_id=graph_exec.user_id,
+                        graph_id=graph_exec.graph_id,
+                    ),
+                    self.node_evaluation_loop,
+                ).result(timeout=30.0):
+                    raise moderation_error
+            except asyncio.TimeoutError:
+                log_metadata.warning(
+                    f"Output moderation timed out for graph execution {graph_exec.graph_exec_id}, bypassing moderation and continuing execution"
+                )
+                # Continue execution without moderation
+
+            # Determine final execution status based on whether there was an error or termination
+            if cancel.is_set():
+                execution_status = ExecutionStatus.TERMINATED
+            elif error is not None:
+                execution_status = ExecutionStatus.FAILED
+            else:
+                execution_status = ExecutionStatus.COMPLETED
 
-                        if not queue.empty():
-                            break  # yield to parent loop to execute new queue items
+            if error:
+                execution_stats.error = str(error) or type(error).__name__
 
-                        log_metadata.debug(f"Waiting on execution of node {node_id}")
-                        execution.wait(3)
+            return execution_status
 
-            log_metadata.info(f"Finished graph execution {graph_exec.graph_exec_id}")
-        except Exception as e:
+        except BaseException as e:
+            error = (
+                e
+                if isinstance(e, Exception)
+                else Exception(f"{e.__class__.__name__}: {e}")
+            )
+
+            known_errors = (InsufficientBalanceError, ModerationError)
+            if isinstance(error, known_errors):
+                execution_stats.error = str(error)
+                return ExecutionStatus.FAILED
+
+            execution_status = ExecutionStatus.FAILED
             log_metadata.exception(
-                f"Failed graph execution {graph_exec.graph_exec_id}: {e}"
+                f"Failed graph execution {graph_exec.graph_exec_id}: {error}"
             )
-            error = e
+            raise
+
         finally:
-            if not cancel.is_set():
-                finished = True
-                cancel.set()
-            cancel_thread.join()
-            return exec_stats, error
+            self._cleanup_graph_execution(
+                execution_queue=execution_queue,
+                running_node_execution=running_node_execution,
+                running_node_evaluation=running_node_evaluation,
+                execution_status=execution_status,
+                error=error,
+                graph_exec_id=graph_exec.graph_exec_id,
+                log_metadata=log_metadata,
+                db_client=db_client,
+            )
+
+    @error_logged(swallow=True)
+    def _cleanup_graph_execution(
+        self,
+        execution_queue: ExecutionQueue[NodeExecutionEntry],
+        running_node_execution: dict[str, "NodeExecutionProgress"],
+        running_node_evaluation: dict[str, Future],
+        execution_status: ExecutionStatus,
+        error: Exception | None,
+        graph_exec_id: str,
+        log_metadata: LogMetadata,
+        db_client: "DatabaseManagerClient",
+    ) -> None:
+        """
+        Clean up running node executions and evaluations when graph execution ends.
+        This method is decorated with @error_logged(swallow=True) to ensure cleanup
+        never fails in the finally block.
+        """
+        # Cancel and wait for all node executions to complete
+        for node_id, inflight_exec in running_node_execution.items():
+            if inflight_exec.is_done():
+                continue
+            log_metadata.info(f"Stopping node execution {node_id}")
+            inflight_exec.stop()
+
+        for node_id, inflight_exec in running_node_execution.items():
+            try:
+                inflight_exec.wait_for_done(timeout=3600.0)
+            except TimeoutError:
+                log_metadata.exception(
+                    f"Node execution #{node_id} did not stop in time, "
+                    "it may be stuck or taking too long."
+                )
+
+        # Wait the remaining inflight evaluations to finish
+        for node_id, inflight_eval in running_node_evaluation.items():
+            try:
+                inflight_eval.result(timeout=3600.0)
+            except TimeoutError:
+                log_metadata.exception(
+                    f"Node evaluation #{node_id} did not stop in time, "
+                    "it may be stuck or taking too long."
+                )
+
+        while queued_execution := execution_queue.get_or_none():
+            update_node_execution_status(
+                db_client=db_client,
+                exec_id=queued_execution.node_exec_id,
+                status=execution_status,
+                stats={"error": str(error)} if error else None,
+            )
+
+        clean_exec_files(graph_exec_id)
+
+    @async_error_logged(swallow=True)
+    async def _process_node_output(
+        self,
+        output: ExecutionOutputEntry,
+        node_id: str,
+        graph_exec: GraphExecutionEntry,
+        log_metadata: LogMetadata,
+        nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]],
+        execution_queue: ExecutionQueue[NodeExecutionEntry],
+    ) -> None:
+        """Process a node's output, update its status, and enqueue next nodes.
+
+        Args:
+            output: The execution output entry to process
+            node_id: The ID of the node that produced the output
+            graph_exec: The graph execution entry
+            log_metadata: Logger metadata for consistent logging
+            nodes_input_masks: Optional map of node input overrides
+            execution_queue: Queue to add next executions to
+        """
+        db_client = get_db_async_client()
+
+        log_metadata.debug(f"Enqueue nodes for {node_id}: {output}")
+
+        for next_execution in await _enqueue_next_nodes(
+            db_client=db_client,
+            node=output.node,
+            output=output.data,
+            user_id=graph_exec.user_id,
+            graph_exec_id=graph_exec.graph_exec_id,
+            graph_id=graph_exec.graph_id,
+            log_metadata=log_metadata,
+            nodes_input_masks=nodes_input_masks,
+            user_context=graph_exec.user_context,
+        ):
+            execution_queue.add(next_execution)
+
+    def _handle_agent_run_notif(
+        self,
+        db_client: "DatabaseManagerClient",
+        graph_exec: GraphExecutionEntry,
+        exec_stats: GraphExecutionStats,
+    ):
+        metadata = db_client.get_graph_metadata(
+            graph_exec.graph_id, graph_exec.graph_version
+        )
+        outputs = db_client.get_node_executions(
+            graph_exec.graph_exec_id,
+            block_ids=[AgentOutputBlock().id],
+        )
+
+        named_outputs = [
+            {
+                key: value[0] if key == "name" else value
+                for key, value in output.output_data.items()
+            }
+            for output in outputs
+        ]
+
+        queue_notification(
+            NotificationEventModel(
+                user_id=graph_exec.user_id,
+                type=NotificationType.AGENT_RUN,
+                data=AgentRunData(
+                    outputs=named_outputs,
+                    agent_name=metadata.name if metadata else "Unknown Agent",
+                    credits_used=exec_stats.cost,
+                    execution_time=exec_stats.walltime,
+                    graph_id=graph_exec.graph_id,
+                    node_count=exec_stats.node_count,
+                ),
+            )
+        )
+
+    def _handle_insufficient_funds_notif(
+        self,
+        db_client: "DatabaseManagerClient",
+        user_id: str,
+        graph_id: str,
+        e: InsufficientBalanceError,
+    ):
+        shortfall = abs(e.amount) - e.balance
+        metadata = db_client.get_graph_metadata(graph_id)
+        base_url = (
+            settings.config.frontend_base_url or settings.config.platform_base_url
+        )
 
+        queue_notification(
+            NotificationEventModel(
+                user_id=user_id,
+                type=NotificationType.ZERO_BALANCE,
+                data=ZeroBalanceData(
+                    current_balance=e.balance,
+                    billing_page_link=f"{base_url}/profile/credits",
+                    shortfall=shortfall,
+                    agent_name=metadata.name if metadata else "Unknown Agent",
+                ),
+            )
+        )
+
+        try:
+            user_email = db_client.get_user_email_by_id(user_id)
+
+            alert_message = (
+                f"❌ **Insufficient Funds Alert**\n"
+                f"User: {user_email or user_id}\n"
+                f"Agent: {metadata.name if metadata else 'Unknown Agent'}\n"
+                f"Current balance: ${e.balance/100:.2f}\n"
+                f"Attempted cost: ${abs(e.amount)/100:.2f}\n"
+                f"Shortfall: ${abs(shortfall)/100:.2f}\n"
+                f"[View User Details]({base_url}/admin/spending?search={user_email})"
+            )
+
+            get_notification_manager_client().discord_system_alert(
+                alert_message, DiscordChannel.PRODUCT
+            )
+        except Exception as alert_error:
+            logger.error(
+                f"Failed to send insufficient funds Discord alert: {alert_error}"
+            )
+
+    def _handle_low_balance(
+        self,
+        db_client: "DatabaseManagerClient",
+        user_id: str,
+        current_balance: int,
+        transaction_cost: int,
+    ):
+        """Check and handle low balance scenarios after a transaction"""
+        LOW_BALANCE_THRESHOLD = settings.config.low_balance_threshold
+
+        balance_before = current_balance + transaction_cost
+
+        if (
+            current_balance < LOW_BALANCE_THRESHOLD
+            and balance_before >= LOW_BALANCE_THRESHOLD
+        ):
+            base_url = (
+                settings.config.frontend_base_url or settings.config.platform_base_url
+            )
+            queue_notification(
+                NotificationEventModel(
+                    user_id=user_id,
+                    type=NotificationType.LOW_BALANCE,
+                    data=LowBalanceData(
+                        current_balance=current_balance,
+                        billing_page_link=f"{base_url}/profile/credits",
+                    ),
+                )
+            )
+
+            try:
+                user_email = db_client.get_user_email_by_id(user_id)
+                alert_message = (
+                    f"⚠️ **Low Balance Alert**\n"
+                    f"User: {user_email or user_id}\n"
+                    f"Balance dropped below ${LOW_BALANCE_THRESHOLD/100:.2f}\n"
+                    f"Current balance: ${current_balance/100:.2f}\n"
+                    f"Transaction cost: ${transaction_cost/100:.2f}\n"
+                    f"[View User Details]({base_url}/admin/spending?search={user_email})"
+                )
+                get_notification_manager_client().discord_system_alert(
+                    alert_message, DiscordChannel.PRODUCT
+                )
+            except Exception as e:
+                logger.error(f"Failed to send low balance Discord alert: {e}")
 
-class ExecutionManager(AppService):
+
+class ExecutionManager(AppProcess):
     def __init__(self):
         super().__init__()
-        self.use_redis = True
-        self.use_supabase = True
         self.pool_size = settings.config.num_graph_workers
-        self.queue = ExecutionQueue[GraphExecutionEntry]()
         self.active_graph_runs: dict[str, tuple[Future, threading.Event]] = {}
 
-    @classmethod
-    def get_port(cls) -> int:
-        return settings.config.execution_manager_port
+        self._executor = None
+        self._stop_consuming = None
 
-    def run_service(self):
-        from backend.integrations.credentials_store import IntegrationCredentialsStore
+        self._cancel_thread = None
+        self._cancel_client = None
+        self._run_thread = None
+        self._run_client = None
 
-        self.credentials_store = IntegrationCredentialsStore()
-        self.executor = ProcessPoolExecutor(
-            max_workers=self.pool_size,
-            initializer=Executor.on_graph_executor_start,
-        )
-        sync_manager = multiprocessing.Manager()
-        logger.info(
-            f"[{self.service_name}] Started with max-{self.pool_size} graph workers"
-        )
-        while True:
-            graph_exec_data = self.queue.get()
-            graph_exec_id = graph_exec_data.graph_exec_id
-            logger.debug(
-                f"[ExecutionManager] Dispatching graph execution {graph_exec_id}"
-            )
-            cancel_event = sync_manager.Event()
-            future = self.executor.submit(
-                Executor.on_graph_execution, graph_exec_data, cancel_event
+    @property
+    def cancel_thread(self) -> threading.Thread:
+        if self._cancel_thread is None:
+            self._cancel_thread = threading.Thread(
+                target=lambda: self._consume_execution_cancel(),
+                daemon=True,
             )
-            self.active_graph_runs[graph_exec_id] = (future, cancel_event)
-            future.add_done_callback(
-                lambda _: self.active_graph_runs.pop(graph_exec_id, None)
+        return self._cancel_thread
+
+    @property
+    def run_thread(self) -> threading.Thread:
+        if self._run_thread is None:
+            self._run_thread = threading.Thread(
+                target=lambda: self._consume_execution_run(),
+                daemon=True,
             )
+        return self._run_thread
 
-    def cleanup(self):
-        logger.info(f"[{__class__.__name__}] ⏳ Shutting down graph executor pool...")
-        self.executor.shutdown(cancel_futures=True)
+    @property
+    def stop_consuming(self) -> threading.Event:
+        if self._stop_consuming is None:
+            self._stop_consuming = threading.Event()
+        return self._stop_consuming
 
-        super().cleanup()
+    @property
+    def executor(self) -> ThreadPoolExecutor:
+        if self._executor is None:
+            self._executor = ThreadPoolExecutor(
+                max_workers=self.pool_size,
+                initializer=init_worker,
+            )
+        return self._executor
 
     @property
-    def db_client(self) -> "DatabaseManager":
-        return get_db_client()
+    def cancel_client(self) -> SyncRabbitMQ:
+        if self._cancel_client is None:
+            self._cancel_client = SyncRabbitMQ(create_execution_queue_config())
+        return self._cancel_client
 
-    @expose
-    def add_execution(
-        self,
-        graph_id: str,
-        data: BlockInput,
-        user_id: str,
-        graph_version: int | None = None,
-    ) -> GraphExecutionEntry:
-        graph: GraphModel | None = self.db_client.get_graph(
-            graph_id=graph_id, user_id=user_id, version=graph_version
-        )
-        if not graph:
-            raise ValueError(f"Graph #{graph_id} not found.")
+    @property
+    def run_client(self) -> SyncRabbitMQ:
+        if self._run_client is None:
+            self._run_client = SyncRabbitMQ(create_execution_queue_config())
+        return self._run_client
 
-        graph.validate_graph(for_run=True)
-        self._validate_node_input_credentials(graph, user_id)
+    def run(self):
+        logger.info(f"[{self.service_name}] ⏳ Spawn max-{self.pool_size} workers...")
 
-        nodes_input = []
-        for node in graph.starting_nodes:
-            input_data = {}
-            block = get_block(node.block_id)
+        pool_size_gauge.set(self.pool_size)
+        self._update_prompt_metrics()
+        start_http_server(settings.config.execution_manager_port)
 
-            # Invalid block & Note block should never be executed.
-            if not block or block.block_type == BlockType.NOTE:
-                continue
+        self.cancel_thread.start()
+        self.run_thread.start()
 
-            # Extract request input data, and assign it to the input pin.
-            if block.block_type == BlockType.INPUT:
-                name = node.input_default.get("name")
-                if name and name in data:
-                    input_data = {"value": data[name]}
-
-            # Extract webhook payload, and assign it to the input pin
-            webhook_payload_key = f"webhook_{node.webhook_id}_payload"
-            if (
-                block.block_type in (BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL)
-                and node.webhook_id
-            ):
-                if webhook_payload_key not in data:
-                    raise ValueError(
-                        f"Node {block.name} #{node.id} webhook payload is missing"
-                    )
-                input_data = {"payload": data[webhook_payload_key]}
+        while True:
+            time.sleep(1e5)
 
-            input_data, error = validate_exec(node, input_data)
-            if input_data is None:
-                raise ValueError(error)
-            else:
-                nodes_input.append((node.id, input_data))
+    @continuous_retry()
+    def _consume_execution_cancel(self):
+        if self.stop_consuming.is_set() and not self.active_graph_runs:
+            logger.info(
+                f"[{self.service_name}] Stop reconnecting cancel consumer since the service is cleaned up."
+            )
+            return
 
-        graph_exec_id, node_execs = self.db_client.create_graph_execution(
-            graph_id=graph_id,
-            graph_version=graph.version,
-            nodes_input=nodes_input,
-            user_id=user_id,
+        # Check if channel is closed and force reconnection if needed
+        if not self.cancel_client.is_ready:
+            self.cancel_client.disconnect()
+        self.cancel_client.connect()
+        cancel_channel = self.cancel_client.get_channel()
+        cancel_channel.basic_consume(
+            queue=GRAPH_EXECUTION_CANCEL_QUEUE_NAME,
+            on_message_callback=self._handle_cancel_message,
+            auto_ack=True,
         )
-
-        starting_node_execs = []
-        for node_exec in node_execs:
-            starting_node_execs.append(
-                NodeExecutionEntry(
-                    user_id=user_id,
-                    graph_exec_id=node_exec.graph_exec_id,
-                    graph_id=node_exec.graph_id,
-                    node_exec_id=node_exec.node_exec_id,
-                    node_id=node_exec.node_id,
-                    data=node_exec.input_data,
-                )
+        logger.info(f"[{self.service_name}] ⏳ Starting cancel message consumer...")
+        cancel_channel.start_consuming()
+        if not self.stop_consuming.is_set() or self.active_graph_runs:
+            raise RuntimeError(
+                f"[{self.service_name}] ❌ cancel message consumer is stopped: {cancel_channel}"
             )
-            exec_update = self.db_client.update_execution_status(
-                node_exec.node_exec_id, ExecutionStatus.QUEUED, node_exec.input_data
+        logger.info(
+            f"[{self.service_name}] ✅ Cancel message consumer stopped gracefully"
+        )
+
+    @continuous_retry()
+    def _consume_execution_run(self):
+        # Long-running executions are handled by:
+        # 1. Long consumer timeout (x-consumer-timeout) allows long running agent
+        # 2. Enhanced connection settings (5 retries, 1s delay) for quick reconnection
+        # 3. Process monitoring ensures failed executors release messages back to queue
+        if self.stop_consuming.is_set():
+            logger.info(
+                f"[{self.service_name}] Stop reconnecting execution consumer since the service is cleaned up."
             )
-            self.db_client.send_execution_update(exec_update)
+            return
 
-        graph_exec = GraphExecutionEntry(
-            user_id=user_id,
-            graph_id=graph_id,
-            graph_exec_id=graph_exec_id,
-            start_node_execs=starting_node_execs,
+        # Check if channel is closed and force reconnection if needed
+        if not self.run_client.is_ready:
+            self.run_client.disconnect()
+        self.run_client.connect()
+        run_channel = self.run_client.get_channel()
+        run_channel.basic_qos(prefetch_count=self.pool_size)
+
+        # Configure consumer for long-running graph executions
+        # auto_ack=False: Don't acknowledge messages until execution completes (prevents data loss)
+        run_channel.basic_consume(
+            queue=GRAPH_EXECUTION_QUEUE_NAME,
+            on_message_callback=self._handle_run_message,
+            auto_ack=False,
+            consumer_tag="graph_execution_consumer",
         )
-        self.queue.add(graph_exec)
-
-        return graph_exec
+        run_channel.confirm_delivery()
+        logger.info(f"[{self.service_name}] ⏳ Starting to consume run messages...")
+        run_channel.start_consuming()
+        if not self.stop_consuming.is_set():
+            raise RuntimeError(
+                f"[{self.service_name}] ❌ run message consumer is stopped: {run_channel}"
+            )
+        logger.info(f"[{self.service_name}] ✅ Run message consumer stopped gracefully")
 
-    @expose
-    def cancel_execution(self, graph_exec_id: str) -> None:
+    @error_logged(swallow=True)
+    def _handle_cancel_message(
+        self,
+        _channel: BlockingChannel,
+        _method: Basic.Deliver,
+        _properties: BasicProperties,
+        body: bytes,
+    ):
         """
-        Mechanism:
-        1. Set the cancel event
-        2. Graph executor's cancel handler thread detects the event, terminates workers,
-           reinitializes worker pool, and returns.
-        3. Update execution statuses in DB and set `error` outputs to `"TERMINATED"`.
+        Called whenever we receive a CANCEL message from the queue.
+        (With auto_ack=True, message is considered 'acked' automatically.)
         """
+        request = CancelExecutionEvent.model_validate_json(body)
+        graph_exec_id = request.graph_exec_id
+        if not graph_exec_id:
+            logger.warning(
+                f"[{self.service_name}] Cancel message missing 'graph_exec_id'"
+            )
+            return
         if graph_exec_id not in self.active_graph_runs:
-            raise Exception(
-                f"Graph execution #{graph_exec_id} not active/running: "
-                "possibly already completed/cancelled."
+            logger.debug(
+                f"[{self.service_name}] Cancel received for {graph_exec_id} but not active."
             )
-
-        future, cancel_event = self.active_graph_runs[graph_exec_id]
-        if cancel_event.is_set():
             return
 
-        cancel_event.set()
-        future.result()
+        _, cancel_event = self.active_graph_runs[graph_exec_id]
+        logger.info(f"[{self.service_name}] Received cancel for {graph_exec_id}")
+        if not cancel_event.is_set():
+            cancel_event.set()
+        else:
+            logger.debug(
+                f"[{self.service_name}] Cancel already set for {graph_exec_id}"
+            )
 
-        # Update the status of the unfinished node executions
-        node_execs = self.db_client.get_execution_results(graph_exec_id)
-        for node_exec in node_execs:
-            if node_exec.status not in (
-                ExecutionStatus.COMPLETED,
-                ExecutionStatus.FAILED,
-            ):
-                self.db_client.upsert_execution_output(
-                    node_exec.node_exec_id, "error", "TERMINATED"
-                )
-                exec_update = self.db_client.update_execution_status(
-                    node_exec.node_exec_id, ExecutionStatus.FAILED
-                )
-                self.db_client.send_execution_update(exec_update)
+    def _handle_run_message(
+        self,
+        _channel: BlockingChannel,
+        method: Basic.Deliver,
+        _properties: BasicProperties,
+        body: bytes,
+    ):
+        delivery_tag = method.delivery_tag
 
-    def _validate_node_input_credentials(self, graph: GraphModel, user_id: str):
-        """Checks all credentials for all nodes of the graph"""
+        @func_retry
+        def _ack_message(reject: bool, requeue: bool):
+            """Acknowledge or reject the message based on execution status."""
 
-        for node in graph.nodes:
-            block = get_block(node.block_id)
-            if not block:
-                raise ValueError(f"Unknown block {node.block_id} for node #{node.id}")
+            # Connection can be lost, so always get a fresh channel
+            channel = self.run_client.get_channel()
+            if reject:
+                channel.connection.add_callback_threadsafe(
+                    lambda: channel.basic_nack(delivery_tag, requeue=requeue)
+                )
+            else:
+                channel.connection.add_callback_threadsafe(
+                    lambda: channel.basic_ack(delivery_tag)
+                )
 
-            # Find any fields of type CredentialsMetaInput
-            model_fields = cast(type[BaseModel], block.input_schema).model_fields
-            if CREDENTIALS_FIELD_NAME not in model_fields:
-                continue
+        # Check if we're shutting down - reject new messages but keep connection alive
+        if self.stop_consuming.is_set():
+            logger.info(
+                f"[{self.service_name}] Rejecting new execution during shutdown"
+            )
+            _ack_message(reject=True, requeue=True)
+            return
 
-            field = model_fields[CREDENTIALS_FIELD_NAME]
+        # Check if we can accept more runs
+        self._cleanup_completed_runs()
+        if len(self.active_graph_runs) >= self.pool_size:
+            _ack_message(reject=True, requeue=True)
+            return
 
-            # The BlockSchema class enforces that a `credentials` field is always a
-            # `CredentialsMetaInput`, so we can safely assume this here.
-            credentials_meta_type = cast(CredentialsMetaInput, field.annotation)
-            credentials_meta = credentials_meta_type.model_validate(
-                node.input_default[CREDENTIALS_FIELD_NAME]
+        try:
+            graph_exec_entry = GraphExecutionEntry.model_validate_json(body)
+        except Exception as e:
+            logger.error(
+                f"[{self.service_name}] Could not parse run message: {e}, body={body}"
             )
-            # Fetch the corresponding Credentials and perform sanity checks
-            credentials = self.credentials_store.get_creds_by_id(
-                user_id, credentials_meta.id
+            _ack_message(reject=True, requeue=False)
+            return
+
+        graph_exec_id = graph_exec_entry.graph_exec_id
+        logger.info(
+            f"[{self.service_name}] Received RUN for graph_exec_id={graph_exec_id}"
+        )
+        if graph_exec_id in self.active_graph_runs:
+            # TODO: Make this check cluster-wide, prevent duplicate runs across executor pods.
+            logger.error(
+                f"[{self.service_name}] Graph {graph_exec_id} already running; rejecting duplicate run."
             )
-            if not credentials:
-                raise ValueError(
-                    f"Unknown credentials #{credentials_meta.id} "
-                    f"for node #{node.id}"
+            _ack_message(reject=True, requeue=False)
+            return
+
+        cancel_event = threading.Event()
+
+        future = self.executor.submit(execute_graph, graph_exec_entry, cancel_event)
+        self.active_graph_runs[graph_exec_id] = (future, cancel_event)
+        self._update_prompt_metrics()
+
+        def _on_run_done(f: Future):
+            logger.info(f"[{self.service_name}] Run completed for {graph_exec_id}")
+            try:
+                if exec_error := f.exception():
+                    logger.error(
+                        f"[{self.service_name}] Execution for {graph_exec_id} failed: {type(exec_error)} {exec_error}"
+                    )
+                    _ack_message(reject=True, requeue=True)
+                else:
+                    _ack_message(reject=False, requeue=False)
+            except BaseException as e:
+                logger.exception(
+                    f"[{self.service_name}] Error in run completion callback: {e}"
                 )
-            if (
-                credentials.provider != credentials_meta.provider
-                or credentials.type != credentials_meta.type
-            ):
-                logger.warning(
-                    f"Invalid credentials #{credentials.id} for node #{node.id}: "
-                    "type/provider mismatch: "
-                    f"{credentials_meta.type}<>{credentials.type};"
-                    f"{credentials_meta.provider}<>{credentials.provider}"
+            finally:
+                self._cleanup_completed_runs()
+
+        future.add_done_callback(_on_run_done)
+
+    def _cleanup_completed_runs(self) -> list[str]:
+        """Remove completed futures from active_graph_runs and update metrics"""
+        completed_runs = []
+        for graph_exec_id, (future, _) in self.active_graph_runs.items():
+            if future.done():
+                completed_runs.append(graph_exec_id)
+
+        for geid in completed_runs:
+            logger.info(f"[{self.service_name}] ✅ Cleaned up completed run {geid}")
+            self.active_graph_runs.pop(geid, None)
+
+        self._update_prompt_metrics()
+        return completed_runs
+
+    def _update_prompt_metrics(self):
+        active_count = len(self.active_graph_runs)
+        active_runs_gauge.set(active_count)
+        if self.stop_consuming.is_set():
+            utilization_gauge.set(1.0)
+        else:
+            utilization_gauge.set(active_count / self.pool_size)
+
+    def _stop_message_consumers(
+        self, thread: threading.Thread, client: SyncRabbitMQ, prefix: str
+    ):
+        try:
+            channel = client.get_channel()
+            channel.connection.add_callback_threadsafe(lambda: channel.stop_consuming())
+
+            try:
+                thread.join(timeout=300)
+            except TimeoutError:
+                logger.error(
+                    f"{prefix} ⚠️ Run thread did not finish in time, forcing disconnect"
                 )
-                raise ValueError(
-                    f"Invalid credentials #{credentials.id} for node #{node.id}: "
-                    "type/provider mismatch"
+
+            client.disconnect()
+            logger.info(f"{prefix} ✅ Run client disconnected")
+        except Exception as e:
+            logger.error(f"{prefix} ⚠️ Error disconnecting run client: {type(e)} {e}")
+
+    def cleanup(self):
+        """Override cleanup to implement graceful shutdown with active execution waiting."""
+        prefix = f"[{self.service_name}][on_graph_executor_stop {os.getpid()}]"
+        logger.info(f"{prefix} 🧹 Starting graceful shutdown...")
+
+        # Signal the consumer thread to stop (thread-safe)
+        try:
+            self.stop_consuming.set()
+            run_channel = self.run_client.get_channel()
+            run_channel.connection.add_callback_threadsafe(
+                lambda: run_channel.stop_consuming()
+            )
+            logger.info(f"{prefix} ✅ Exec consumer has been signaled to stop")
+        except Exception as e:
+            logger.error(f"{prefix} ⚠️ Error signaling consumer to stop: {type(e)} {e}")
+
+        # Wait for active executions to complete
+        if self.active_graph_runs:
+            logger.info(
+                f"{prefix} ⏳ Waiting for {len(self.active_graph_runs)} active executions to complete..."
+            )
+
+            max_wait = GRACEFUL_SHUTDOWN_TIMEOUT_SECONDS
+            wait_interval = 5
+            waited = 0
+
+            while waited < max_wait:
+                self._cleanup_completed_runs()
+                if not self.active_graph_runs:
+                    logger.info(f"{prefix} ✅ All active executions completed")
+                    break
+                else:
+                    ids = [k.split("-")[0] for k in self.active_graph_runs.keys()]
+                    logger.info(
+                        f"{prefix} ⏳ Still waiting for {len(self.active_graph_runs)} executions: {ids}"
+                    )
+
+                time.sleep(wait_interval)
+                waited += wait_interval
+
+            if self.active_graph_runs:
+                logger.error(
+                    f"{prefix} ⚠️ {len(self.active_graph_runs)} executions still running after {max_wait}s"
                 )
+            else:
+                logger.info(f"{prefix} ✅ All executions completed gracefully")
+
+        # Shutdown the executor
+        try:
+            self.executor.shutdown(cancel_futures=True, wait=False)
+            logger.info(f"{prefix} ✅ Executor shutdown completed")
+        except Exception as e:
+            logger.error(f"{prefix} ⚠️ Error during executor shutdown: {type(e)} {e}")
+
+        # Disconnect the run execution consumer
+        self._stop_message_consumers(
+            self.run_thread,
+            self.run_client,
+            prefix + " [run-consumer]",
+        )
+        self._stop_message_consumers(
+            self.cancel_thread,
+            self.cancel_client,
+            prefix + " [cancel-consumer]",
+        )
+
+        logger.info(f"{prefix} ✅ Finished GraphExec cleanup")
 
 
 # ------- UTILITIES ------- #
 
 
-@thread_cached
-def get_db_client() -> "DatabaseManager":
-    from backend.executor import DatabaseManager
+def get_db_client() -> "DatabaseManagerClient":
+    return get_database_manager_client()
+
+
+def get_db_async_client() -> "DatabaseManagerAsyncClient":
+    return get_database_manager_async_client()
+
+
+@func_retry
+async def send_async_execution_update(
+    entry: GraphExecution | NodeExecutionResult | None,
+) -> None:
+    if entry is None:
+        return
+    await get_async_execution_event_bus().publish(entry)
+
+
+@func_retry
+def send_execution_update(entry: GraphExecution | NodeExecutionResult | None):
+    if entry is None:
+        return
+    return get_execution_event_bus().publish(entry)
+
+
+async def async_update_node_execution_status(
+    db_client: "DatabaseManagerAsyncClient",
+    exec_id: str,
+    status: ExecutionStatus,
+    execution_data: BlockInput | None = None,
+    stats: dict[str, Any] | None = None,
+) -> NodeExecutionResult:
+    """Sets status and fetches+broadcasts the latest state of the node execution"""
+    exec_update = await db_client.update_node_execution_status(
+        exec_id, status, execution_data, stats
+    )
+    await send_async_execution_update(exec_update)
+    return exec_update
+
+
+def update_node_execution_status(
+    db_client: "DatabaseManagerClient",
+    exec_id: str,
+    status: ExecutionStatus,
+    execution_data: BlockInput | None = None,
+    stats: dict[str, Any] | None = None,
+) -> NodeExecutionResult:
+    """Sets status and fetches+broadcasts the latest state of the node execution"""
+    exec_update = db_client.update_node_execution_status(
+        exec_id, status, execution_data, stats
+    )
+    send_execution_update(exec_update)
+    return exec_update
+
+
+async def async_update_graph_execution_state(
+    db_client: "DatabaseManagerAsyncClient",
+    graph_exec_id: str,
+    status: ExecutionStatus | None = None,
+    stats: GraphExecutionStats | None = None,
+) -> GraphExecution | None:
+    """Sets status and fetches+broadcasts the latest state of the graph execution"""
+    graph_update = await db_client.update_graph_execution_stats(
+        graph_exec_id, status, stats
+    )
+    if graph_update:
+        await send_async_execution_update(graph_update)
+    else:
+        logger.error(f"Failed to update graph execution stats for {graph_exec_id}")
+    return graph_update
 
-    return get_service_client(DatabaseManager)
+
+def update_graph_execution_state(
+    db_client: "DatabaseManagerClient",
+    graph_exec_id: str,
+    status: ExecutionStatus | None = None,
+    stats: GraphExecutionStats | None = None,
+) -> GraphExecution | None:
+    """Sets status and fetches+broadcasts the latest state of the graph execution"""
+    graph_update = db_client.update_graph_execution_stats(graph_exec_id, status, stats)
+    if graph_update:
+        send_execution_update(graph_update)
+    else:
+        logger.error(f"Failed to update graph execution stats for {graph_exec_id}")
+    return graph_update
 
 
-@contextmanager
-def synchronized(key: str, timeout: int = 60):
-    lock: RedisLock = redis.get_redis().lock(f"lock:{key}", timeout=timeout)
+@asynccontextmanager
+async def synchronized(key: str, timeout: int = 60):
+    r = await redis.get_redis_async()
+    lock: RedisLock = r.lock(f"lock:{key}", timeout=timeout)
     try:
-        lock.acquire()
+        await lock.acquire()
         yield
     finally:
-        lock.release()
+        if await lock.locked() and await lock.owned():
+            await lock.release()
 
 
-def llprint(message: str):
+def increment_execution_count(user_id: str) -> int:
     """
-    Low-level print/log helper function for use in signal handlers.
-    Regular log/print statements are not allowed in signal handlers.
+    Increment the execution count for a given user,
+    this will be used to charge the user for the execution cost.
     """
-    if logger.getEffectiveLevel() == logging.DEBUG:
-        os.write(sys.stdout.fileno(), (message + "\n").encode())
+    r = redis.get_redis()
+    k = f"uec:{user_id}"  # User Execution Count global key
+    counter = cast(int, r.incr(k))
+    if counter == 1:
+        r.expire(k, settings.config.execution_counter_expiration_time)
+    return counter
diff --git a/autogpt_platform/backend/backend/executor/manager_low_balance_test.py b/autogpt_platform/backend/backend/executor/manager_low_balance_test.py
new file mode 100644
index 000000000000..d51ffb251185
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/manager_low_balance_test.py
@@ -0,0 +1,149 @@
+from unittest.mock import MagicMock, patch
+
+import pytest
+from prisma.enums import NotificationType
+
+from backend.data.notifications import LowBalanceData
+from backend.executor.manager import ExecutionProcessor
+from backend.util.test import SpinTestServer
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_handle_low_balance_threshold_crossing(server: SpinTestServer):
+    """Test that _handle_low_balance triggers notification when crossing threshold."""
+
+    execution_processor = ExecutionProcessor()
+    user_id = "test-user-123"
+    current_balance = 400  # $4 - below $5 threshold
+    transaction_cost = 600  # $6 transaction
+
+    # Mock dependencies
+    with patch(
+        "backend.executor.manager.queue_notification"
+    ) as mock_queue_notif, patch(
+        "backend.executor.manager.get_notification_manager_client"
+    ) as mock_get_client, patch(
+        "backend.executor.manager.settings"
+    ) as mock_settings:
+
+        # Setup mocks
+        mock_client = MagicMock()
+        mock_get_client.return_value = mock_client
+        mock_settings.config.low_balance_threshold = 500  # $5 threshold
+        mock_settings.config.frontend_base_url = "https://test.com"
+
+        # Create mock database client
+        mock_db_client = MagicMock()
+        mock_db_client.get_user_email_by_id.return_value = "test@example.com"
+
+        # Test the low balance handler
+        execution_processor._handle_low_balance(
+            db_client=mock_db_client,
+            user_id=user_id,
+            current_balance=current_balance,
+            transaction_cost=transaction_cost,
+        )
+
+        # Verify notification was queued
+        mock_queue_notif.assert_called_once()
+        notification_call = mock_queue_notif.call_args[0][0]
+
+        # Verify notification details
+        assert notification_call.type == NotificationType.LOW_BALANCE
+        assert notification_call.user_id == user_id
+        assert isinstance(notification_call.data, LowBalanceData)
+        assert notification_call.data.current_balance == current_balance
+
+        # Verify Discord alert was sent
+        mock_client.discord_system_alert.assert_called_once()
+        discord_message = mock_client.discord_system_alert.call_args[0][0]
+        assert "Low Balance Alert" in discord_message
+        assert "test@example.com" in discord_message
+        assert "$4.00" in discord_message
+        assert "$6.00" in discord_message
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_handle_low_balance_no_notification_when_not_crossing(
+    server: SpinTestServer,
+):
+    """Test that no notification is sent when not crossing the threshold."""
+
+    execution_processor = ExecutionProcessor()
+    user_id = "test-user-123"
+    current_balance = 600  # $6 - above $5 threshold
+    transaction_cost = (
+        100  # $1 transaction (balance before was $7, still above threshold)
+    )
+
+    # Mock dependencies
+    with patch(
+        "backend.executor.manager.queue_notification"
+    ) as mock_queue_notif, patch(
+        "backend.executor.manager.get_notification_manager_client"
+    ) as mock_get_client, patch(
+        "backend.executor.manager.settings"
+    ) as mock_settings:
+
+        # Setup mocks
+        mock_client = MagicMock()
+        mock_get_client.return_value = mock_client
+        mock_settings.config.low_balance_threshold = 500  # $5 threshold
+
+        # Create mock database client
+        mock_db_client = MagicMock()
+
+        # Test the low balance handler
+        execution_processor._handle_low_balance(
+            db_client=mock_db_client,
+            user_id=user_id,
+            current_balance=current_balance,
+            transaction_cost=transaction_cost,
+        )
+
+        # Verify no notification was sent
+        mock_queue_notif.assert_not_called()
+        mock_client.discord_system_alert.assert_not_called()
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_handle_low_balance_no_duplicate_when_already_below(
+    server: SpinTestServer,
+):
+    """Test that no notification is sent when already below threshold."""
+
+    execution_processor = ExecutionProcessor()
+    user_id = "test-user-123"
+    current_balance = 300  # $3 - below $5 threshold
+    transaction_cost = (
+        100  # $1 transaction (balance before was $4, also below threshold)
+    )
+
+    # Mock dependencies
+    with patch(
+        "backend.executor.manager.queue_notification"
+    ) as mock_queue_notif, patch(
+        "backend.executor.manager.get_notification_manager_client"
+    ) as mock_get_client, patch(
+        "backend.executor.manager.settings"
+    ) as mock_settings:
+
+        # Setup mocks
+        mock_client = MagicMock()
+        mock_get_client.return_value = mock_client
+        mock_settings.config.low_balance_threshold = 500  # $5 threshold
+
+        # Create mock database client
+        mock_db_client = MagicMock()
+
+        # Test the low balance handler
+        execution_processor._handle_low_balance(
+            db_client=mock_db_client,
+            user_id=user_id,
+            current_balance=current_balance,
+            transaction_cost=transaction_cost,
+        )
+
+        # Verify no notification was sent (user was already below threshold)
+        mock_queue_notif.assert_not_called()
+        mock_client.discord_system_alert.assert_not_called()
diff --git a/autogpt_platform/backend/backend/executor/manager_test.py b/autogpt_platform/backend/backend/executor/manager_test.py
new file mode 100644
index 000000000000..c565eedfbfe3
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/manager_test.py
@@ -0,0 +1,543 @@
+import logging
+
+import autogpt_libs.auth.models
+import fastapi.responses
+import pytest
+
+import backend.server.v2.library.model
+import backend.server.v2.store.model
+from backend.blocks.basic import StoreValueBlock
+from backend.blocks.data_manipulation import FindInDictionaryBlock
+from backend.blocks.io import AgentInputBlock
+from backend.blocks.maths import CalculatorBlock, Operation
+from backend.data import execution, graph
+from backend.data.model import User
+from backend.server.model import CreateGraph
+from backend.server.rest_api import AgentServer
+from backend.usecases.sample import create_test_graph, create_test_user
+from backend.util.test import SpinTestServer, wait_execution
+
+logger = logging.getLogger(__name__)
+
+
+async def create_graph(s: SpinTestServer, g: graph.Graph, u: User) -> graph.Graph:
+    logger.info(f"Creating graph for user {u.id}")
+    return await s.agent_server.test_create_graph(CreateGraph(graph=g), u.id)
+
+
+async def execute_graph(
+    agent_server: AgentServer,
+    test_graph: graph.Graph,
+    test_user: User,
+    input_data: dict,
+    num_execs: int = 4,
+) -> str:
+    logger.info(f"Executing graph {test_graph.id} for user {test_user.id}")
+    logger.info(f"Input data: {input_data}")
+
+    # --- Test adding new executions --- #
+    response = await agent_server.test_execute_graph(
+        user_id=test_user.id,
+        graph_id=test_graph.id,
+        graph_version=test_graph.version,
+        node_input=input_data,
+    )
+    graph_exec_id = response.graph_exec_id
+    logger.info(f"Created execution with ID: {graph_exec_id}")
+
+    # Execution queue should be empty
+    logger.info("Waiting for execution to complete...")
+    result = await wait_execution(test_user.id, graph_exec_id, 30)
+    logger.info(f"Execution completed with {len(result)} results")
+    assert len(result) == num_execs
+    return graph_exec_id
+
+
+async def assert_sample_graph_executions(
+    test_graph: graph.Graph,
+    test_user: User,
+    graph_exec_id: str,
+):
+    logger.info(f"Checking execution results for graph {test_graph.id}")
+    graph_run = await execution.get_graph_execution(
+        test_user.id, graph_exec_id, include_node_executions=True
+    )
+    assert isinstance(graph_run, execution.GraphExecutionWithNodes)
+
+    output_list = [{"result": ["Hello"]}, {"result": ["World"]}]
+    input_list = [
+        {
+            "name": "input_1",
+            "value": "Hello",
+        },
+        {
+            "name": "input_2",
+            "value": "World",
+            "description": "This is my description of this parameter",
+        },
+    ]
+
+    # Executing StoreValueBlock
+    exec = graph_run.node_executions[0]
+    logger.info(f"Checking first StoreValueBlock execution: {exec}")
+    assert exec.status == execution.ExecutionStatus.COMPLETED
+    assert exec.graph_exec_id == graph_exec_id
+    assert (
+        exec.output_data in output_list
+    ), f"Output data: {exec.output_data} and {output_list}"
+    assert (
+        exec.input_data in input_list
+    ), f"Input data: {exec.input_data} and {input_list}"
+    assert exec.node_id in [test_graph.nodes[0].id, test_graph.nodes[1].id]
+
+    # Executing StoreValueBlock
+    exec = graph_run.node_executions[1]
+    logger.info(f"Checking second StoreValueBlock execution: {exec}")
+    assert exec.status == execution.ExecutionStatus.COMPLETED
+    assert exec.graph_exec_id == graph_exec_id
+    assert (
+        exec.output_data in output_list
+    ), f"Output data: {exec.output_data} and {output_list}"
+    assert (
+        exec.input_data in input_list
+    ), f"Input data: {exec.input_data} and {input_list}"
+    assert exec.node_id in [test_graph.nodes[0].id, test_graph.nodes[1].id]
+
+    # Executing FillTextTemplateBlock
+    exec = graph_run.node_executions[2]
+    logger.info(f"Checking FillTextTemplateBlock execution: {exec}")
+    assert exec.status == execution.ExecutionStatus.COMPLETED
+    assert exec.graph_exec_id == graph_exec_id
+    assert exec.output_data == {"output": ["Hello, World!!!"]}
+    assert exec.input_data == {
+        "format": "{{a}}, {{b}}{{c}}",
+        "values": {"a": "Hello", "b": "World", "c": "!!!"},
+        "values_#_a": "Hello",
+        "values_#_b": "World",
+        "values_#_c": "!!!",
+    }
+    assert exec.node_id == test_graph.nodes[2].id
+
+    # Executing PrintToConsoleBlock
+    exec = graph_run.node_executions[3]
+    logger.info(f"Checking PrintToConsoleBlock execution: {exec}")
+    assert exec.status == execution.ExecutionStatus.COMPLETED
+    assert exec.graph_exec_id == graph_exec_id
+    assert exec.output_data == {"output": ["Hello, World!!!"]}
+    assert exec.input_data == {"input": "Hello, World!!!"}
+    assert exec.node_id == test_graph.nodes[3].id
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_agent_execution(server: SpinTestServer):
+    logger.info("Starting test_agent_execution")
+    test_user = await create_test_user()
+    test_graph = await create_graph(server, create_test_graph(), test_user)
+    data = {"input_1": "Hello", "input_2": "World"}
+    graph_exec_id = await execute_graph(
+        server.agent_server,
+        test_graph,
+        test_user,
+        data,
+        4,
+    )
+    await assert_sample_graph_executions(test_graph, test_user, graph_exec_id)
+    logger.info("Completed test_agent_execution")
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_input_pin_always_waited(server: SpinTestServer):
+    """
+    This test is asserting that the input pin should always be waited for the execution,
+    even when default value on that pin is defined, the value has to be ignored.
+
+    Test scenario:
+    StoreValueBlock1
+                \\ input
+                     >------- FindInDictionaryBlock | input_default: key: "", input: {}
+                // key
+    StoreValueBlock2
+    """
+    logger.info("Starting test_input_pin_always_waited")
+    nodes = [
+        graph.Node(
+            block_id=StoreValueBlock().id,
+            input_default={"input": {"key1": "value1", "key2": "value2"}},
+        ),
+        graph.Node(
+            block_id=StoreValueBlock().id,
+            input_default={"input": "key2"},
+        ),
+        graph.Node(
+            block_id=FindInDictionaryBlock().id,
+            input_default={"key": "", "input": {}},
+        ),
+    ]
+    links = [
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[2].id,
+            source_name="output",
+            sink_name="input",
+        ),
+        graph.Link(
+            source_id=nodes[1].id,
+            sink_id=nodes[2].id,
+            source_name="output",
+            sink_name="key",
+        ),
+    ]
+    test_graph = graph.Graph(
+        name="TestGraph",
+        description="Test graph",
+        nodes=nodes,
+        links=links,
+    )
+    test_user = await create_test_user()
+    test_graph = await create_graph(server, test_graph, test_user)
+    graph_exec_id = await execute_graph(
+        server.agent_server, test_graph, test_user, {}, 3
+    )
+
+    logger.info("Checking execution results")
+    graph_exec = await execution.get_graph_execution(
+        test_user.id, graph_exec_id, include_node_executions=True
+    )
+    assert isinstance(graph_exec, execution.GraphExecutionWithNodes)
+    assert len(graph_exec.node_executions) == 3
+    # FindInDictionaryBlock should wait for the input pin to be provided,
+    # Hence executing extraction of "key" from {"key1": "value1", "key2": "value2"}
+    assert graph_exec.node_executions[2].status == execution.ExecutionStatus.COMPLETED
+    assert graph_exec.node_executions[2].output_data == {"output": ["value2"]}
+    logger.info("Completed test_input_pin_always_waited")
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_static_input_link_on_graph(server: SpinTestServer):
+    """
+    This test is asserting the behaviour of static input link, e.g: reusable input link.
+
+    Test scenario:
+    *StoreValueBlock1*===a=========\\
+    *StoreValueBlock2*===a=====\\  ||
+    *StoreValueBlock3*===a===*MathBlock*====b / static====*StoreValueBlock5*
+    *StoreValueBlock4*=========================================//
+
+    In this test, there will be three input waiting in the MathBlock input pin `a`.
+    And later, another output is produced on input pin `b`, which is a static link,
+    this input will complete the input of those three incomplete executions.
+    """
+    logger.info("Starting test_static_input_link_on_graph")
+    nodes = [
+        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 4}),  # a
+        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 4}),  # a
+        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 4}),  # a
+        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 5}),  # b
+        graph.Node(block_id=StoreValueBlock().id),
+        graph.Node(
+            block_id=CalculatorBlock().id,
+            input_default={"operation": Operation.ADD.value},
+        ),
+    ]
+    links = [
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[5].id,
+            source_name="output",
+            sink_name="a",
+        ),
+        graph.Link(
+            source_id=nodes[1].id,
+            sink_id=nodes[5].id,
+            source_name="output",
+            sink_name="a",
+        ),
+        graph.Link(
+            source_id=nodes[2].id,
+            sink_id=nodes[5].id,
+            source_name="output",
+            sink_name="a",
+        ),
+        graph.Link(
+            source_id=nodes[3].id,
+            sink_id=nodes[4].id,
+            source_name="output",
+            sink_name="input",
+        ),
+        graph.Link(
+            source_id=nodes[4].id,
+            sink_id=nodes[5].id,
+            source_name="output",
+            sink_name="b",
+            is_static=True,  # This is the static link to test.
+        ),
+    ]
+    test_graph = graph.Graph(
+        name="TestGraph",
+        description="Test graph",
+        nodes=nodes,
+        links=links,
+    )
+    test_user = await create_test_user()
+    test_graph = await create_graph(server, test_graph, test_user)
+    graph_exec_id = await execute_graph(
+        server.agent_server, test_graph, test_user, {}, 8
+    )
+    logger.info("Checking execution results")
+    graph_exec = await execution.get_graph_execution(
+        test_user.id, graph_exec_id, include_node_executions=True
+    )
+    assert isinstance(graph_exec, execution.GraphExecutionWithNodes)
+    assert len(graph_exec.node_executions) == 8
+    # The last 3 executions will be a+b=4+5=9
+    for i, exec_data in enumerate(graph_exec.node_executions[-3:]):
+        logger.info(f"Checking execution {i+1} of last 3: {exec_data}")
+        assert exec_data.status == execution.ExecutionStatus.COMPLETED
+        assert exec_data.output_data == {"result": [9]}
+    logger.info("Completed test_static_input_link_on_graph")
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_execute_preset(server: SpinTestServer):
+    """
+    Test executing a preset.
+
+    This test ensures that:
+    1. A preset can be successfully executed
+    2. The execution results are correct
+
+    Args:
+        server (SpinTestServer): The test server instance.
+    """
+    # Create test graph and user
+    nodes = [
+        graph.Node(  # 0
+            block_id=AgentInputBlock().id,
+            input_default={"name": "dictionary"},
+        ),
+        graph.Node(  # 1
+            block_id=AgentInputBlock().id,
+            input_default={"name": "selected_value"},
+        ),
+        graph.Node(  # 2
+            block_id=StoreValueBlock().id,
+            input_default={"input": {"key1": "Hi", "key2": "Everyone"}},
+        ),
+        graph.Node(  # 3
+            block_id=FindInDictionaryBlock().id,
+            input_default={"key": "", "input": {}},
+        ),
+    ]
+    links = [
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[2].id,
+            source_name="result",
+            sink_name="input",
+        ),
+        graph.Link(
+            source_id=nodes[1].id,
+            sink_id=nodes[3].id,
+            source_name="result",
+            sink_name="key",
+        ),
+        graph.Link(
+            source_id=nodes[2].id,
+            sink_id=nodes[3].id,
+            source_name="output",
+            sink_name="input",
+        ),
+    ]
+    test_graph = graph.Graph(
+        name="TestGraph",
+        description="Test graph",
+        nodes=nodes,
+        links=links,
+    )
+    test_user = await create_test_user()
+    test_graph = await create_graph(server, test_graph, test_user)
+
+    # Create preset with initial values
+    preset = backend.server.v2.library.model.LibraryAgentPresetCreatable(
+        name="Test Preset With Clash",
+        description="Test preset with clashing input values",
+        graph_id=test_graph.id,
+        graph_version=test_graph.version,
+        inputs={
+            "dictionary": {"key1": "Hello", "key2": "World"},
+            "selected_value": "key2",
+        },
+        credentials={},
+        is_active=True,
+    )
+    created_preset = await server.agent_server.test_create_preset(preset, test_user.id)
+
+    # Execute preset with overriding values
+    result = await server.agent_server.test_execute_preset(
+        preset_id=created_preset.id,
+        user_id=test_user.id,
+    )
+
+    # Verify execution
+    assert result is not None
+    graph_exec_id = result["id"]
+
+    # Wait for execution to complete
+    executions = await wait_execution(test_user.id, graph_exec_id)
+    assert len(executions) == 4
+
+    # FindInDictionaryBlock should wait for the input pin to be provided,
+    # Hence executing extraction of "key" from {"key1": "value1", "key2": "value2"}
+    assert executions[3].status == execution.ExecutionStatus.COMPLETED
+    assert executions[3].output_data == {"output": ["World"]}
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_execute_preset_with_clash(server: SpinTestServer):
+    """
+    Test executing a preset with clashing input data.
+    """
+    # Create test graph and user
+    nodes = [
+        graph.Node(  # 0
+            block_id=AgentInputBlock().id,
+            input_default={"name": "dictionary"},
+        ),
+        graph.Node(  # 1
+            block_id=AgentInputBlock().id,
+            input_default={"name": "selected_value"},
+        ),
+        graph.Node(  # 2
+            block_id=StoreValueBlock().id,
+            input_default={"input": {"key1": "Hi", "key2": "Everyone"}},
+        ),
+        graph.Node(  # 3
+            block_id=FindInDictionaryBlock().id,
+            input_default={"key": "", "input": {}},
+        ),
+    ]
+    links = [
+        graph.Link(
+            source_id=nodes[0].id,
+            sink_id=nodes[2].id,
+            source_name="result",
+            sink_name="input",
+        ),
+        graph.Link(
+            source_id=nodes[1].id,
+            sink_id=nodes[3].id,
+            source_name="result",
+            sink_name="key",
+        ),
+        graph.Link(
+            source_id=nodes[2].id,
+            sink_id=nodes[3].id,
+            source_name="output",
+            sink_name="input",
+        ),
+    ]
+    test_graph = graph.Graph(
+        name="TestGraph",
+        description="Test graph",
+        nodes=nodes,
+        links=links,
+    )
+    test_user = await create_test_user()
+    test_graph = await create_graph(server, test_graph, test_user)
+
+    # Create preset with initial values
+    preset = backend.server.v2.library.model.LibraryAgentPresetCreatable(
+        name="Test Preset With Clash",
+        description="Test preset with clashing input values",
+        graph_id=test_graph.id,
+        graph_version=test_graph.version,
+        inputs={
+            "dictionary": {"key1": "Hello", "key2": "World"},
+            "selected_value": "key2",
+        },
+        credentials={},
+        is_active=True,
+    )
+    created_preset = await server.agent_server.test_create_preset(preset, test_user.id)
+
+    # Execute preset with overriding values
+    result = await server.agent_server.test_execute_preset(
+        preset_id=created_preset.id,
+        inputs={"selected_value": "key1"},
+        user_id=test_user.id,
+    )
+
+    # Verify execution
+    assert result is not None, "Result must not be None"
+    graph_exec_id = result["id"]
+
+    # Wait for execution to complete
+    executions = await wait_execution(test_user.id, graph_exec_id)
+    assert len(executions) == 4
+
+    # FindInDictionaryBlock should wait for the input pin to be provided,
+    # Hence executing extraction of "key" from {"key1": "value1", "key2": "value2"}
+    assert executions[3].status == execution.ExecutionStatus.COMPLETED
+    assert executions[3].output_data == {"output": ["Hello"]}
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_store_listing_graph(server: SpinTestServer):
+    logger.info("Starting test_agent_execution")
+    test_user = await create_test_user()
+    test_graph = await create_graph(server, create_test_graph(), test_user)
+
+    store_submission_request = backend.server.v2.store.model.StoreSubmissionRequest(
+        agent_id=test_graph.id,
+        agent_version=test_graph.version,
+        slug=test_graph.id,
+        name="Test name",
+        sub_heading="Test sub heading",
+        video_url=None,
+        image_urls=[],
+        description="Test description",
+        categories=[],
+    )
+
+    store_listing = await server.agent_server.test_create_store_listing(
+        store_submission_request, test_user.id
+    )
+
+    if isinstance(store_listing, fastapi.responses.JSONResponse):
+        assert False, "Failed to create store listing"
+
+    slv_id = (
+        store_listing.store_listing_version_id
+        if store_listing.store_listing_version_id is not None
+        else None
+    )
+
+    assert slv_id is not None
+
+    admin_user = await create_test_user(alt_user=True)
+    await server.agent_server.test_review_store_listing(
+        backend.server.v2.store.model.ReviewSubmissionRequest(
+            store_listing_version_id=slv_id,
+            is_approved=True,
+            comments="Test comments",
+        ),
+        autogpt_libs.auth.models.User(
+            user_id=admin_user.id,
+            role="admin",
+            email=admin_user.email,
+            phone_number="1234567890",
+        ),
+    )
+    alt_test_user = admin_user
+
+    data = {"input_1": "Hello", "input_2": "World"}
+    graph_exec_id = await execute_graph(
+        server.agent_server,
+        test_graph,
+        alt_test_user,
+        data,
+        4,
+    )
+
+    await assert_sample_graph_executions(test_graph, alt_test_user, graph_exec_id)
+    logger.info("Completed test_agent_execution")
diff --git a/autogpt_platform/backend/backend/executor/scheduler.py b/autogpt_platform/backend/backend/executor/scheduler.py
index 3c906a3afc2a..e476b3ceed99 100644
--- a/autogpt_platform/backend/backend/executor/scheduler.py
+++ b/autogpt_platform/backend/backend/executor/scheduler.py
@@ -1,20 +1,49 @@
+import asyncio
 import logging
 import os
+import threading
+from enum import Enum
+from typing import Optional
 from urllib.parse import parse_qs, urlencode, urlparse, urlunparse
 
-from apscheduler.events import EVENT_JOB_ERROR, EVENT_JOB_EXECUTED
+from apscheduler.events import (
+    EVENT_JOB_ERROR,
+    EVENT_JOB_EXECUTED,
+    EVENT_JOB_MAX_INSTANCES,
+    EVENT_JOB_MISSED,
+)
 from apscheduler.job import Job as JobObj
+from apscheduler.jobstores.memory import MemoryJobStore
 from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
-from apscheduler.schedulers.blocking import BlockingScheduler
+from apscheduler.schedulers.background import BackgroundScheduler
 from apscheduler.triggers.cron import CronTrigger
-from autogpt_libs.utils.cache import thread_cached
+from apscheduler.util import ZoneInfo
 from dotenv import load_dotenv
-from pydantic import BaseModel
+from pydantic import BaseModel, Field, ValidationError
 from sqlalchemy import MetaData, create_engine
 
 from backend.data.block import BlockInput
-from backend.executor.manager import ExecutionManager
-from backend.util.service import AppService, expose, get_service_client
+from backend.data.execution import GraphExecutionWithNodes
+from backend.data.model import CredentialsMetaInput
+from backend.executor import utils as execution_utils
+from backend.monitoring import (
+    NotificationJobArgs,
+    process_existing_batches,
+    process_weekly_summary,
+    report_block_error_rates,
+    report_late_executions,
+)
+from backend.util.cloud_storage import cleanup_expired_files_async
+from backend.util.exceptions import NotAuthorizedError, NotFoundError
+from backend.util.logging import PrefixFilter
+from backend.util.retry import func_retry
+from backend.util.service import (
+    AppService,
+    AppServiceClient,
+    UnhealthyServiceError,
+    endpoint_to_async,
+    expose,
+)
 from backend.util.settings import Config
 
 
@@ -38,53 +67,153 @@ def _extract_schema_from_url(database_url) -> tuple[str, str]:
 
 
 logger = logging.getLogger(__name__)
-config = Config()
+logger.addFilter(PrefixFilter("[Scheduler]"))
+apscheduler_logger = logger.getChild("apscheduler")
+apscheduler_logger.addFilter(PrefixFilter("[Scheduler] [APScheduler]"))
 
+config = Config()
 
-def log(msg, **kwargs):
-    logger.info("[ExecutionScheduler] " + msg, **kwargs)
+# Timeout constants
+SCHEDULER_OPERATION_TIMEOUT_SECONDS = 300  # 5 minutes for scheduler operations
 
 
 def job_listener(event):
     """Logs job execution outcomes for better monitoring."""
     if event.exception:
-        log(f"Job {event.job_id} failed.")
+        logger.error(
+            f"Job {event.job_id} failed: {type(event.exception).__name__}: {event.exception}"
+        )
     else:
-        log(f"Job {event.job_id} completed successfully.")
+        logger.info(f"Job {event.job_id} completed successfully.")
+
+
+def job_missed_listener(event):
+    """Logs when jobs are missed due to scheduling issues."""
+    logger.warning(
+        f"Job {event.job_id} was missed at scheduled time {event.scheduled_run_time}. "
+        f"This can happen if the scheduler is overloaded or if previous executions are still running."
+    )
+
+
+def job_max_instances_listener(event):
+    """Logs when jobs hit max instances limit."""
+    logger.warning(
+        f"Job {event.job_id} execution was SKIPPED - max instances limit reached. "
+        f"Previous execution(s) are still running. "
+        f"Consider increasing max_instances or check why previous executions are taking too long."
+    )
+
+
+_event_loop: asyncio.AbstractEventLoop | None = None
+_event_loop_thread: threading.Thread | None = None
+
 
+@func_retry
+def get_event_loop():
+    """Get the shared event loop."""
+    if _event_loop is None:
+        raise RuntimeError("Event loop not initialized. Scheduler not started.")
+    return _event_loop
 
-@thread_cached
-def get_execution_client() -> ExecutionManager:
-    return get_service_client(ExecutionManager)
+
+def run_async(coro, timeout: float = SCHEDULER_OPERATION_TIMEOUT_SECONDS):
+    """Run a coroutine in the shared event loop and wait for completion."""
+    loop = get_event_loop()
+    future = asyncio.run_coroutine_threadsafe(coro, loop)
+    try:
+        return future.result(timeout=timeout)
+    except Exception as e:
+        logger.error(f"Async operation failed: {type(e).__name__}: {e}")
+        raise
 
 
 def execute_graph(**kwargs):
-    args = JobArgs(**kwargs)
+    """Execute graph in the shared event loop and wait for completion."""
+    # Wait for completion to ensure job doesn't exit prematurely
+    run_async(_execute_graph(**kwargs))
+
+
+async def _execute_graph(**kwargs):
+    args = GraphExecutionJobArgs(**kwargs)
+    start_time = asyncio.get_event_loop().time()
     try:
-        log(f"Executing recurring job for graph #{args.graph_id}")
-        get_execution_client().add_execution(
-            args.graph_id, args.input_data, args.user_id
+        logger.info(f"Executing recurring job for graph #{args.graph_id}")
+        graph_exec: GraphExecutionWithNodes = await execution_utils.add_graph_execution(
+            user_id=args.user_id,
+            graph_id=args.graph_id,
+            graph_version=args.graph_version,
+            inputs=args.input_data,
+            graph_credentials_inputs=args.input_credentials,
         )
+        elapsed = asyncio.get_event_loop().time() - start_time
+        logger.info(
+            f"Graph execution started with ID {graph_exec.id} for graph {args.graph_id} "
+            f"(took {elapsed:.2f}s to create and publish)"
+        )
+        if elapsed > 10:
+            logger.warning(
+                f"Graph execution {graph_exec.id} took {elapsed:.2f}s to create/publish - "
+                f"this is unusually slow and may indicate resource contention"
+            )
     except Exception as e:
-        logger.exception(f"Error executing graph {args.graph_id}: {e}")
+        elapsed = asyncio.get_event_loop().time() - start_time
+        logger.error(
+            f"Error executing graph {args.graph_id} after {elapsed:.2f}s: "
+            f"{type(e).__name__}: {e}"
+        )
 
 
-class JobArgs(BaseModel):
-    graph_id: str
-    input_data: BlockInput
+def cleanup_expired_files():
+    """Clean up expired files from cloud storage."""
+    # Wait for completion
+    run_async(cleanup_expired_files_async())
+
+
+# Monitoring functions are now imported from monitoring module
+
+
+class Jobstores(Enum):
+    EXECUTION = "execution"
+    BATCHED_NOTIFICATIONS = "batched_notifications"
+    WEEKLY_NOTIFICATIONS = "weekly_notifications"
+
+
+class GraphExecutionJobArgs(BaseModel):
     user_id: str
+    graph_id: str
     graph_version: int
     cron: str
+    input_data: BlockInput
+    input_credentials: dict[str, CredentialsMetaInput] = Field(default_factory=dict)
+
+
+class GraphExecutionJobInfo(GraphExecutionJobArgs):
+    id: str
+    name: str
+    next_run_time: str
+
+    @staticmethod
+    def from_db(
+        job_args: GraphExecutionJobArgs, job_obj: JobObj
+    ) -> "GraphExecutionJobInfo":
+        return GraphExecutionJobInfo(
+            id=job_obj.id,
+            name=job_obj.name,
+            next_run_time=job_obj.next_run_time.isoformat(),
+            **job_args.model_dump(),
+        )
 
 
-class JobInfo(JobArgs):
+class NotificationJobInfo(NotificationJobArgs):
     id: str
     name: str
     next_run_time: str
 
     @staticmethod
-    def from_db(job_args: JobArgs, job_obj: JobObj) -> "JobInfo":
-        return JobInfo(
+    def from_db(
+        job_args: NotificationJobArgs, job_obj: JobObj
+    ) -> "NotificationJobInfo":
+        return NotificationJobInfo(
             id=job_obj.id,
             name=job_obj.name,
             next_run_time=job_obj.next_run_time.isoformat(),
@@ -92,84 +221,282 @@ def from_db(job_args: JobArgs, job_obj: JobObj) -> "JobInfo":
         )
 
 
-class ExecutionScheduler(AppService):
-    scheduler: BlockingScheduler
+class Scheduler(AppService):
+    scheduler: BackgroundScheduler
+
+    def __init__(self, register_system_tasks: bool = True):
+        self.register_system_tasks = register_system_tasks
 
     @classmethod
     def get_port(cls) -> int:
         return config.execution_scheduler_port
 
-    @property
-    @thread_cached
-    def execution_client(self) -> ExecutionManager:
-        return get_service_client(ExecutionManager)
+    @classmethod
+    def db_pool_size(cls) -> int:
+        return config.scheduler_db_pool_size
+
+    async def health_check(self) -> str:
+        # Thread-safe health check with proper initialization handling
+        if not hasattr(self, "scheduler"):
+            raise UnhealthyServiceError("Scheduler is still initializing")
+
+        # Check if we're in the middle of cleanup
+        if self.cleaned_up:
+            return await super().health_check()
+
+        # Normal operation - check if scheduler is running
+        if not self.scheduler.running:
+            raise UnhealthyServiceError("Scheduler is not running")
+
+        return await super().health_check()
 
     def run_service(self):
         load_dotenv()
-        db_schema, db_url = _extract_schema_from_url(os.getenv("DATABASE_URL"))
-        self.scheduler = BlockingScheduler(
+
+        # Initialize the event loop for async jobs
+        global _event_loop
+        _event_loop = asyncio.new_event_loop()
+
+        # Use daemon thread since it should die with the main service
+        global _event_loop_thread
+        _event_loop_thread = threading.Thread(
+            target=_event_loop.run_forever, daemon=True, name="SchedulerEventLoop"
+        )
+        _event_loop_thread.start()
+
+        db_schema, db_url = _extract_schema_from_url(os.getenv("DIRECT_URL"))
+        # Configure executors to limit concurrency without skipping jobs
+        from apscheduler.executors.pool import ThreadPoolExecutor
+
+        self.scheduler = BackgroundScheduler(
+            executors={
+                "default": ThreadPoolExecutor(
+                    max_workers=self.db_pool_size()
+                ),  # Match DB pool size to prevent resource contention
+            },
+            job_defaults={
+                "coalesce": True,  # Skip redundant missed jobs - just run the latest
+                "max_instances": 1000,  # Effectively unlimited - never drop executions
+                "misfire_grace_time": None,  # No time limit for missed jobs
+            },
             jobstores={
-                "default": SQLAlchemyJobStore(
-                    engine=create_engine(db_url),
+                Jobstores.EXECUTION.value: SQLAlchemyJobStore(
+                    engine=create_engine(
+                        url=db_url,
+                        pool_size=self.db_pool_size(),
+                        max_overflow=0,
+                    ),
                     metadata=MetaData(schema=db_schema),
-                )
-            }
+                    # this one is pre-existing so it keeps the
+                    # default table name.
+                    tablename="apscheduler_jobs",
+                ),
+                Jobstores.BATCHED_NOTIFICATIONS.value: SQLAlchemyJobStore(
+                    engine=create_engine(
+                        url=db_url,
+                        pool_size=self.db_pool_size(),
+                        max_overflow=0,
+                    ),
+                    metadata=MetaData(schema=db_schema),
+                    tablename="apscheduler_jobs_batched_notifications",
+                ),
+                # These don't really need persistence
+                Jobstores.WEEKLY_NOTIFICATIONS.value: MemoryJobStore(),
+            },
+            logger=apscheduler_logger,
+            timezone=ZoneInfo("UTC"),
         )
+
+        if self.register_system_tasks:
+            # Notification PROCESS WEEKLY SUMMARY
+            # Runs every Monday at 9 AM UTC
+            self.scheduler.add_job(
+                process_weekly_summary,
+                CronTrigger.from_crontab("0 9 * * 1"),
+                id="process_weekly_summary",
+                kwargs={},
+                replace_existing=True,
+                jobstore=Jobstores.WEEKLY_NOTIFICATIONS.value,
+            )
+
+            # Notification PROCESS EXISTING BATCHES
+            # self.scheduler.add_job(
+            #     process_existing_batches,
+            #     id="process_existing_batches",
+            #     CronTrigger.from_crontab("0 12 * * 5"),
+            #     replace_existing=True,
+            #     jobstore=Jobstores.BATCHED_NOTIFICATIONS.value,
+            # )
+
+            # Notification LATE EXECUTIONS ALERT
+            self.scheduler.add_job(
+                report_late_executions,
+                id="report_late_executions",
+                trigger="interval",
+                replace_existing=True,
+                seconds=config.execution_late_notification_threshold_secs,
+                jobstore=Jobstores.EXECUTION.value,
+            )
+
+            # Block Error Rate Monitoring
+            self.scheduler.add_job(
+                report_block_error_rates,
+                id="report_block_error_rates",
+                trigger="interval",
+                replace_existing=True,
+                seconds=config.block_error_rate_check_interval_secs,
+                jobstore=Jobstores.EXECUTION.value,
+            )
+
+            # Cloud Storage Cleanup - configurable interval
+            self.scheduler.add_job(
+                cleanup_expired_files,
+                id="cleanup_expired_files",
+                trigger="interval",
+                replace_existing=True,
+                seconds=config.cloud_storage_cleanup_interval_hours
+                * 3600,  # Convert hours to seconds
+                jobstore=Jobstores.EXECUTION.value,
+            )
+
         self.scheduler.add_listener(job_listener, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR)
+        self.scheduler.add_listener(job_missed_listener, EVENT_JOB_MISSED)
+        self.scheduler.add_listener(job_max_instances_listener, EVENT_JOB_MAX_INSTANCES)
         self.scheduler.start()
 
+        # Keep the service running since BackgroundScheduler doesn't block
+        super().run_service()
+
+    def cleanup(self):
+        super().cleanup()
+        if self.scheduler:
+            logger.info("⏳ Shutting down scheduler...")
+            self.scheduler.shutdown(wait=True)
+
+        global _event_loop
+        if _event_loop:
+            logger.info("⏳ Closing event loop...")
+            _event_loop.call_soon_threadsafe(_event_loop.stop)
+
+        global _event_loop_thread
+        if _event_loop_thread:
+            logger.info("⏳ Waiting for event loop thread to finish...")
+            _event_loop_thread.join(timeout=SCHEDULER_OPERATION_TIMEOUT_SECONDS)
+
+        logger.info("Scheduler cleanup complete.")
+
     @expose
-    def add_execution_schedule(
+    def add_graph_execution_schedule(
         self,
+        user_id: str,
         graph_id: str,
         graph_version: int,
         cron: str,
         input_data: BlockInput,
-        user_id: str,
-    ) -> JobInfo:
-        job_args = JobArgs(
-            graph_id=graph_id,
-            input_data=input_data,
+        input_credentials: dict[str, CredentialsMetaInput],
+        name: Optional[str] = None,
+    ) -> GraphExecutionJobInfo:
+        # Validate the graph before scheduling to prevent runtime failures
+        # We don't need the return value, just want the validation to run
+        run_async(
+            execution_utils.validate_and_construct_node_execution_input(
+                graph_id=graph_id,
+                user_id=user_id,
+                graph_inputs=input_data,
+                graph_version=graph_version,
+                graph_credentials_inputs=input_credentials,
+            )
+        )
+
+        logger.info(f"Scheduling job for user {user_id} in UTC (cron: {cron})")
+
+        job_args = GraphExecutionJobArgs(
             user_id=user_id,
+            graph_id=graph_id,
             graph_version=graph_version,
             cron=cron,
+            input_data=input_data,
+            input_credentials=input_credentials,
         )
         job = self.scheduler.add_job(
             execute_graph,
-            CronTrigger.from_crontab(cron),
             kwargs=job_args.model_dump(),
+            name=name,
+            trigger=CronTrigger.from_crontab(cron, timezone="UTC"),
+            jobstore=Jobstores.EXECUTION.value,
             replace_existing=True,
         )
-        log(f"Added job {job.id} with cron schedule '{cron}' input data: {input_data}")
-        return JobInfo.from_db(job_args, job)
+        logger.info(
+            f"Added job {job.id} with cron schedule '{cron}' in UTC, input data: {input_data}"
+        )
+        return GraphExecutionJobInfo.from_db(job_args, job)
 
     @expose
-    def delete_schedule(self, schedule_id: str, user_id: str) -> JobInfo:
-        job = self.scheduler.get_job(schedule_id)
+    def delete_graph_execution_schedule(
+        self, schedule_id: str, user_id: str
+    ) -> GraphExecutionJobInfo:
+        job = self.scheduler.get_job(schedule_id, jobstore=Jobstores.EXECUTION.value)
         if not job:
-            log(f"Job {schedule_id} not found.")
-            raise ValueError(f"Job #{schedule_id} not found.")
+            raise NotFoundError(f"Job #{schedule_id} not found.")
 
-        job_args = JobArgs(**job.kwargs)
+        job_args = GraphExecutionJobArgs(**job.kwargs)
         if job_args.user_id != user_id:
-            raise ValueError("User ID does not match the job's user ID.")
+            raise NotAuthorizedError("User ID does not match the job's user ID")
 
-        log(f"Deleting job {schedule_id}")
+        logger.info(f"Deleting job {schedule_id}")
         job.remove()
 
-        return JobInfo.from_db(job_args, job)
+        return GraphExecutionJobInfo.from_db(job_args, job)
 
     @expose
-    def get_execution_schedules(
+    def get_graph_execution_schedules(
         self, graph_id: str | None = None, user_id: str | None = None
-    ) -> list[JobInfo]:
+    ) -> list[GraphExecutionJobInfo]:
+        jobs: list[JobObj] = self.scheduler.get_jobs(jobstore=Jobstores.EXECUTION.value)
         schedules = []
-        for job in self.scheduler.get_jobs():
-            job_args = JobArgs(**job.kwargs)
+        for job in jobs:
+            logger.debug(
+                f"Found job {job.id} with cron schedule {job.trigger} and args {job.kwargs}"
+            )
+            try:
+                job_args = GraphExecutionJobArgs.model_validate(job.kwargs)
+            except ValidationError:
+                continue
             if (
                 job.next_run_time is not None
                 and (graph_id is None or job_args.graph_id == graph_id)
                 and (user_id is None or job_args.user_id == user_id)
             ):
-                schedules.append(JobInfo.from_db(job_args, job))
+                schedules.append(GraphExecutionJobInfo.from_db(job_args, job))
         return schedules
+
+    @expose
+    def execute_process_existing_batches(self, kwargs: dict):
+        process_existing_batches(**kwargs)
+
+    @expose
+    def execute_process_weekly_summary(self):
+        process_weekly_summary()
+
+    @expose
+    def execute_report_late_executions(self):
+        return report_late_executions()
+
+    @expose
+    def execute_report_block_error_rates(self):
+        return report_block_error_rates()
+
+    @expose
+    def execute_cleanup_expired_files(self):
+        """Manually trigger cleanup of expired cloud storage files."""
+        return cleanup_expired_files()
+
+
+class SchedulerClient(AppServiceClient):
+    @classmethod
+    def get_service_type(cls):
+        return Scheduler
+
+    add_execution_schedule = endpoint_to_async(Scheduler.add_graph_execution_schedule)
+    delete_schedule = endpoint_to_async(Scheduler.delete_graph_execution_schedule)
+    get_execution_schedules = endpoint_to_async(Scheduler.get_graph_execution_schedules)
diff --git a/autogpt_platform/backend/backend/executor/scheduler_test.py b/autogpt_platform/backend/backend/executor/scheduler_test.py
new file mode 100644
index 000000000000..c4fa35d46c60
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/scheduler_test.py
@@ -0,0 +1,41 @@
+import pytest
+
+from backend.data import db
+from backend.server.model import CreateGraph
+from backend.usecases.sample import create_test_graph, create_test_user
+from backend.util.clients import get_scheduler_client
+from backend.util.test import SpinTestServer
+
+
+@pytest.mark.asyncio(loop_scope="session")
+async def test_agent_schedule(server: SpinTestServer):
+    await db.connect()
+    test_user = await create_test_user()
+    test_graph = await server.agent_server.test_create_graph(
+        create_graph=CreateGraph(graph=create_test_graph()),
+        user_id=test_user.id,
+    )
+
+    scheduler = get_scheduler_client()
+    schedules = await scheduler.get_execution_schedules(test_graph.id, test_user.id)
+    assert len(schedules) == 0
+
+    schedule = await scheduler.add_execution_schedule(
+        graph_id=test_graph.id,
+        user_id=test_user.id,
+        graph_version=1,
+        cron="0 0 * * *",
+        input_data={"input": "data"},
+        input_credentials={},
+    )
+    assert schedule
+
+    schedules = await scheduler.get_execution_schedules(test_graph.id, test_user.id)
+    assert len(schedules) == 1
+    assert schedules[0].cron == "0 0 * * *"
+
+    await scheduler.delete_schedule(schedule.id, user_id=test_user.id)
+    schedules = await scheduler.get_execution_schedules(
+        test_graph.id, user_id=test_user.id
+    )
+    assert len(schedules) == 0
diff --git a/autogpt_platform/backend/backend/executor/util_test.py b/autogpt_platform/backend/backend/executor/util_test.py
new file mode 100644
index 000000000000..197daa223945
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/util_test.py
@@ -0,0 +1,278 @@
+from typing import cast
+
+import pytest
+
+from backend.executor.utils import merge_execution_input, parse_execution_output
+from backend.util.mock import MockObject
+
+
+def test_parse_execution_output():
+    # Test case for basic output
+    output = ("result", "value")
+    assert parse_execution_output(output, "result") == "value"
+
+    # Test case for list output
+    output = ("result", [10, 20, 30])
+    assert parse_execution_output(output, "result_$_1") == 20
+
+    # Test case for dict output
+    output = ("result", {"key1": "value1", "key2": "value2"})
+    assert parse_execution_output(output, "result_#_key1") == "value1"
+
+    # Test case for object output
+    class Sample:
+        def __init__(self):
+            self.attr1 = "value1"
+            self.attr2 = "value2"
+
+    output = ("result", Sample())
+    assert parse_execution_output(output, "result_@_attr1") == "value1"
+
+    # Test case for nested list output
+    output = ("result", [[1, 2], [3, 4]])
+    assert parse_execution_output(output, "result_$_0_$_1") == 2
+    assert parse_execution_output(output, "result_$_1_$_0") == 3
+
+    # Test case for list containing dict
+    output = ("result", [{"key1": "value1"}, {"key2": "value2"}])
+    assert parse_execution_output(output, "result_$_0_#_key1") == "value1"
+    assert parse_execution_output(output, "result_$_1_#_key2") == "value2"
+
+    # Test case for dict containing list
+    output = ("result", {"key1": [1, 2], "key2": [3, 4]})
+    assert parse_execution_output(output, "result_#_key1_$_1") == 2
+    assert parse_execution_output(output, "result_#_key2_$_0") == 3
+
+    # Test case for complex nested structure
+    class NestedSample:
+        def __init__(self):
+            self.attr1 = [1, 2]
+            self.attr2 = {"key": "value"}
+
+    output = ("result", [NestedSample(), {"key": [1, 2]}])
+    assert parse_execution_output(output, "result_$_0_@_attr1_$_1") == 2
+    assert parse_execution_output(output, "result_$_0_@_attr2_#_key") == "value"
+    assert parse_execution_output(output, "result_$_1_#_key_$_0") == 1
+
+    # Test case for non-existent paths
+    output = ("result", [1, 2, 3])
+    assert parse_execution_output(output, "result_$_5") is None
+    assert parse_execution_output(output, "result_#_key") is None
+    assert parse_execution_output(output, "result_@_attr") is None
+    assert parse_execution_output(output, "wrong_name") is None
+
+    # Test cases for delimiter processing order
+    # Test case 1: List -> Dict -> List
+    output = ("result", [[{"key": [1, 2]}], [3, 4]])
+    assert parse_execution_output(output, "result_$_0_$_0_#_key_$_1") == 2
+
+    # Test case 2: Dict -> List -> Object
+    class NestedObj:
+        def __init__(self):
+            self.value = "nested"
+
+    output = ("result", {"key": [NestedObj(), 2]})
+    assert parse_execution_output(output, "result_#_key_$_0_@_value") == "nested"
+
+    # Test case 3: Object -> List -> Dict
+    class ParentObj:
+        def __init__(self):
+            self.items = [{"nested": "value"}]
+
+    output = ("result", ParentObj())
+    assert parse_execution_output(output, "result_@_items_$_0_#_nested") == "value"
+
+    # Test case 4: Complex nested structure with all types
+    class ComplexObj:
+        def __init__(self):
+            self.data = [{"items": [{"value": "deep"}]}]
+
+    output = ("result", {"key": [ComplexObj()]})
+    assert (
+        parse_execution_output(
+            output, "result_#_key_$_0_@_data_$_0_#_items_$_0_#_value"
+        )
+        == "deep"
+    )
+
+    # Test case 5: Invalid paths that should return None
+    output = ("result", [{"key": [1, 2]}])
+    assert parse_execution_output(output, "result_$_0_#_wrong_key") is None
+    assert parse_execution_output(output, "result_$_0_#_key_$_5") is None
+    assert parse_execution_output(output, "result_$_0_@_attr") is None
+
+    # Test case 6: Mixed delimiter types in wrong order
+    output = ("result", {"key": [1, 2]})
+    assert (
+        parse_execution_output(output, "result_#_key_$_1_@_attr") is None
+    )  # Should fail at @_attr
+    assert (
+        parse_execution_output(output, "result_@_attr_$_0_#_key") is None
+    )  # Should fail at @_attr
+
+
+def test_merge_execution_input():
+    # Test case for basic list extraction
+    data = {
+        "list_$_0": "a",
+        "list_$_1": "b",
+    }
+    result = merge_execution_input(data)
+    assert "list" in result
+    assert result["list"] == ["a", "b"]
+
+    # Test case for basic dict extraction
+    data = {
+        "dict_#_key1": "value1",
+        "dict_#_key2": "value2",
+    }
+    result = merge_execution_input(data)
+    assert "dict" in result
+    assert result["dict"] == {"key1": "value1", "key2": "value2"}
+
+    # Test case for object extraction
+    class Sample:
+        def __init__(self):
+            self.attr1 = None
+            self.attr2 = None
+
+    data = {
+        "object_@_attr1": "value1",
+        "object_@_attr2": "value2",
+    }
+    result = merge_execution_input(data)
+    assert "object" in result
+    assert isinstance(result["object"], MockObject)
+    assert result["object"].attr1 == "value1"
+    assert result["object"].attr2 == "value2"
+
+    # Test case for nested list extraction
+    data = {
+        "nested_list_$_0_$_0": "a",
+        "nested_list_$_0_$_1": "b",
+        "nested_list_$_1_$_0": "c",
+    }
+    result = merge_execution_input(data)
+    assert "nested_list" in result
+    assert result["nested_list"] == [["a", "b"], ["c"]]
+
+    # Test case for list containing dict
+    data = {
+        "list_with_dict_$_0_#_key1": "value1",
+        "list_with_dict_$_0_#_key2": "value2",
+        "list_with_dict_$_1_#_key3": "value3",
+    }
+    result = merge_execution_input(data)
+    assert "list_with_dict" in result
+    assert result["list_with_dict"] == [
+        {"key1": "value1", "key2": "value2"},
+        {"key3": "value3"},
+    ]
+
+    # Test case for dict containing list
+    data = {
+        "dict_with_list_#_key1_$_0": "value1",
+        "dict_with_list_#_key1_$_1": "value2",
+        "dict_with_list_#_key2_$_0": "value3",
+    }
+    result = merge_execution_input(data)
+    assert "dict_with_list" in result
+    assert result["dict_with_list"] == {
+        "key1": ["value1", "value2"],
+        "key2": ["value3"],
+    }
+
+    # Test case for complex nested structure
+    data = {
+        "complex_$_0_#_key1_$_0": "value1",
+        "complex_$_0_#_key1_$_1": "value2",
+        "complex_$_0_#_key2_@_attr1": "value3",
+        "complex_$_1_#_key3_$_0": "value4",
+    }
+    result = merge_execution_input(data)
+    assert "complex" in result
+    assert result["complex"][0]["key1"] == ["value1", "value2"]
+    assert isinstance(result["complex"][0]["key2"], MockObject)
+    assert result["complex"][0]["key2"].attr1 == "value3"
+    assert result["complex"][1]["key3"] == ["value4"]
+
+    # Test case for invalid list index
+    data = {"list_$_invalid": "value"}
+    with pytest.raises(ValueError, match="index must be an integer"):
+        merge_execution_input(data)
+
+    # Test cases for delimiter ordering
+    # Test case 1: List -> Dict -> List
+    data = {
+        "nested_$_0_#_key_$_0": "value1",
+        "nested_$_0_#_key_$_1": "value2",
+    }
+    result = merge_execution_input(data)
+    assert "nested" in result
+    assert result["nested"][0]["key"] == ["value1", "value2"]
+
+    # Test case 2: Dict -> List -> Object
+    data = {
+        "nested_#_key_$_0_@_attr": "value1",
+        "nested_#_key_$_1_@_attr": "value2",
+    }
+    result = merge_execution_input(data)
+    assert "nested" in result
+    assert isinstance(result["nested"]["key"][0], MockObject)
+    assert result["nested"]["key"][0].attr == "value1"
+    assert result["nested"]["key"][1].attr == "value2"
+
+    # Test case 3: Object -> List -> Dict
+    data = {
+        "nested_@_items_$_0_#_key": "value1",
+        "nested_@_items_$_1_#_key": "value2",
+    }
+    result = merge_execution_input(data)
+    assert "nested" in result
+    nested = result["nested"]
+    assert isinstance(nested, MockObject)
+    items = nested.items
+    assert isinstance(items, list)
+    assert items[0]["key"] == "value1"
+    assert items[1]["key"] == "value2"
+
+    # Test case 4: Complex nested structure with all types
+    data = {
+        "deep_#_key_$_0_@_data_$_0_#_items_$_0_#_value": "deep_value",
+        "deep_#_key_$_0_@_data_$_1_#_items_$_0_#_value": "another_value",
+    }
+    result = merge_execution_input(data)
+    assert "deep" in result
+    deep_key = result["deep"]["key"][0]
+    assert deep_key is not None
+    data0 = getattr(deep_key, "data", None)
+    assert isinstance(data0, list)
+    # Check items0
+    items0 = None
+    if len(data0) > 0 and isinstance(data0[0], dict) and "items" in data0[0]:
+        items0 = data0[0]["items"]
+    assert isinstance(items0, list)
+    items0 = cast(list, items0)
+    assert len(items0) > 0
+    assert isinstance(items0[0], dict)
+    assert items0[0]["value"] == "deep_value"  # type: ignore
+    # Check items1
+    items1 = None
+    if len(data0) > 1 and isinstance(data0[1], dict) and "items" in data0[1]:
+        items1 = data0[1]["items"]
+    assert isinstance(items1, list)
+    items1 = cast(list, items1)
+    assert len(items1) > 0
+    assert isinstance(items1[0], dict)
+    assert items1[0]["value"] == "another_value"  # type: ignore
+
+    # Test case 5: Mixed delimiter types in different orders
+    # the last one should replace the type
+    data = {
+        "mixed_$_0_#_key_@_attr": "value1",  # List -> Dict -> Object
+        "mixed_#_key_$_0_@_attr": "value2",  # Dict -> List -> Object
+        "mixed_@_attr_$_0_#_key": "value3",  # Object -> List -> Dict
+    }
+    result = merge_execution_input(data)
+    assert "mixed" in result
+    assert result["mixed"].attr[0]["key"] == "value3"
diff --git a/autogpt_platform/backend/backend/executor/utils.py b/autogpt_platform/backend/backend/executor/utils.py
new file mode 100644
index 000000000000..dd4b94a60c37
--- /dev/null
+++ b/autogpt_platform/backend/backend/executor/utils.py
@@ -0,0 +1,1061 @@
+import asyncio
+import logging
+import threading
+import time
+from collections import defaultdict
+from concurrent.futures import Future
+from typing import Any, Optional
+
+from pydantic import BaseModel, JsonValue, ValidationError
+
+from backend.data import execution as execution_db
+from backend.data import graph as graph_db
+from backend.data.block import Block, BlockData, BlockInput, BlockType, get_block
+from backend.data.block_cost_config import BLOCK_COSTS
+from backend.data.cost import BlockCostType
+from backend.data.db import prisma
+from backend.data.execution import (
+    ExecutionStatus,
+    GraphExecutionStats,
+    GraphExecutionWithNodes,
+    UserContext,
+)
+from backend.data.graph import GraphModel, Node
+from backend.data.model import CredentialsMetaInput
+from backend.data.rabbitmq import Exchange, ExchangeType, Queue, RabbitMQConfig
+from backend.data.user import get_user_by_id
+from backend.util.clients import (
+    get_async_execution_event_bus,
+    get_async_execution_queue,
+    get_database_manager_async_client,
+    get_integration_credentials_store,
+)
+from backend.util.exceptions import GraphValidationError, NotFoundError
+from backend.util.logging import TruncatedLogger
+from backend.util.mock import MockObject
+from backend.util.settings import Config
+from backend.util.type import convert
+
+
+async def get_user_context(user_id: str) -> UserContext:
+    """
+    Get UserContext for a user, always returns a valid context with timezone.
+    Defaults to UTC if user has no timezone set.
+    """
+    user_context = UserContext(timezone="UTC")  # Default to UTC
+    try:
+        user = await get_user_by_id(user_id)
+        if user and user.timezone and user.timezone != "not-set":
+            user_context.timezone = user.timezone
+            logger.debug(f"Retrieved user context: timezone={user.timezone}")
+        else:
+            logger.debug("User has no timezone set, using UTC")
+    except Exception as e:
+        logger.warning(f"Could not fetch user timezone: {e}")
+        # Continue with UTC as default
+
+    return user_context
+
+
+config = Config()
+logger = TruncatedLogger(logging.getLogger(__name__), prefix="[GraphExecutorUtil]")
+
+# ============ Resource Helpers ============ #
+
+
+class LogMetadata(TruncatedLogger):
+    def __init__(
+        self,
+        logger: logging.Logger,
+        user_id: str,
+        graph_eid: str,
+        graph_id: str,
+        node_eid: str,
+        node_id: str,
+        block_name: str,
+        max_length: int = 1000,
+    ):
+        metadata = {
+            "component": "ExecutionManager",
+            "user_id": user_id,
+            "graph_eid": graph_eid,
+            "graph_id": graph_id,
+            "node_eid": node_eid,
+            "node_id": node_id,
+            "block_name": block_name,
+        }
+        prefix = f"[ExecutionManager|uid:{user_id}|gid:{graph_id}|nid:{node_id}]|geid:{graph_eid}|neid:{node_eid}|{block_name}]"
+        super().__init__(
+            logger,
+            max_length=max_length,
+            prefix=prefix,
+            metadata=metadata,
+        )
+
+
+# ============ Execution Cost Helpers ============ #
+
+
+def execution_usage_cost(execution_count: int) -> tuple[int, int]:
+    """
+    Calculate the cost of executing a graph based on the current number of node executions.
+
+    Args:
+        execution_count: Number of node executions
+
+    Returns:
+        Tuple of cost amount and the number of execution count that is included in the cost.
+    """
+    return (
+        (
+            config.execution_cost_per_threshold
+            if execution_count % config.execution_cost_count_threshold == 0
+            else 0
+        ),
+        config.execution_cost_count_threshold,
+    )
+
+
+def block_usage_cost(
+    block: Block,
+    input_data: BlockInput,
+    data_size: float = 0,
+    run_time: float = 0,
+) -> tuple[int, BlockInput]:
+    """
+    Calculate the cost of using a block based on the input data and the block type.
+
+    Args:
+        block: Block object
+        input_data: Input data for the block
+        data_size: Size of the input data in bytes
+        run_time: Execution time of the block in seconds
+
+    Returns:
+        Tuple of cost amount and cost filter
+    """
+    block_costs = BLOCK_COSTS.get(type(block))
+    if not block_costs:
+        return 0, {}
+
+    for block_cost in block_costs:
+        if not _is_cost_filter_match(block_cost.cost_filter, input_data):
+            continue
+
+        if block_cost.cost_type == BlockCostType.RUN:
+            return block_cost.cost_amount, block_cost.cost_filter
+
+        if block_cost.cost_type == BlockCostType.SECOND:
+            return (
+                int(run_time * block_cost.cost_amount),
+                block_cost.cost_filter,
+            )
+
+        if block_cost.cost_type == BlockCostType.BYTE:
+            return (
+                int(data_size * block_cost.cost_amount),
+                block_cost.cost_filter,
+            )
+
+    return 0, {}
+
+
+def _is_cost_filter_match(cost_filter: BlockInput, input_data: BlockInput) -> bool:
+    """
+    Filter rules:
+      - If cost_filter is an object, then check if cost_filter is the subset of input_data
+      - Otherwise, check if cost_filter is equal to input_data.
+      - Undefined, null, and empty string are considered as equal.
+    """
+    if not isinstance(cost_filter, dict) or not isinstance(input_data, dict):
+        return cost_filter == input_data
+
+    return all(
+        (not input_data.get(k) and not v)
+        or (input_data.get(k) and _is_cost_filter_match(v, input_data[k]))
+        for k, v in cost_filter.items()
+    )
+
+
+# ============ Execution Input Helpers ============ #
+
+# --------------------------------------------------------------------------- #
+#  Delimiters
+# --------------------------------------------------------------------------- #
+
+LIST_SPLIT = "_$_"
+DICT_SPLIT = "_#_"
+OBJC_SPLIT = "_@_"
+
+_DELIMS = (LIST_SPLIT, DICT_SPLIT, OBJC_SPLIT)
+
+# --------------------------------------------------------------------------- #
+#  Tokenisation utilities
+# --------------------------------------------------------------------------- #
+
+
+def _next_delim(s: str) -> tuple[str | None, int]:
+    """
+    Return the *earliest* delimiter appearing in `s` and its index.
+
+    If none present → (None, -1).
+    """
+    first: str | None = None
+    pos = len(s)  # sentinel: larger than any real index
+    for d in _DELIMS:
+        i = s.find(d)
+        if 0 <= i < pos:
+            first, pos = d, i
+    return first, (pos if first else -1)
+
+
+def _tokenise(path: str) -> list[tuple[str, str]] | None:
+    """
+    Convert the raw path string (starting with a delimiter) into
+    [ (delimiter, identifier), … ] or None if the syntax is malformed.
+    """
+    tokens: list[tuple[str, str]] = []
+    while path:
+        # 1. Which delimiter starts this chunk?
+        delim = next((d for d in _DELIMS if path.startswith(d)), None)
+        if delim is None:
+            return None  # invalid syntax
+
+        # 2. Slice off the delimiter, then up to the next delimiter (or EOS)
+        path = path[len(delim) :]
+        nxt_delim, pos = _next_delim(path)
+        token, path = (
+            path[: pos if pos != -1 else len(path)],
+            path[pos if pos != -1 else len(path) :],
+        )
+        if token == "":
+            return None  # empty identifier is invalid
+        tokens.append((delim, token))
+    return tokens
+
+
+# --------------------------------------------------------------------------- #
+#  Public API – parsing (flattened ➜ concrete)
+# --------------------------------------------------------------------------- #
+
+
+def parse_execution_output(output: BlockData, name: str) -> Any | None:
+    """
+    Retrieve a nested value out of `output` using the flattened *name*.
+
+    On any failure (wrong name, wrong type, out-of-range, bad path)
+    returns **None**.
+    """
+    base_name, data = output
+
+    # Exact match → whole object
+    if name == base_name:
+        return data
+
+    # Must start with the expected name
+    if not name.startswith(base_name):
+        return None
+    path = name[len(base_name) :]
+    if not path:
+        return None  # nothing left to parse
+
+    tokens = _tokenise(path)
+    if tokens is None:
+        return None
+
+    cur: Any = data
+    for delim, ident in tokens:
+        if delim == LIST_SPLIT:
+            # list[index]
+            try:
+                idx = int(ident)
+            except ValueError:
+                return None
+            if not isinstance(cur, list) or idx >= len(cur):
+                return None
+            cur = cur[idx]
+
+        elif delim == DICT_SPLIT:
+            if not isinstance(cur, dict) or ident not in cur:
+                return None
+            cur = cur[ident]
+
+        elif delim == OBJC_SPLIT:
+            if not hasattr(cur, ident):
+                return None
+            cur = getattr(cur, ident)
+
+        else:
+            return None  # unreachable
+
+    return cur
+
+
+def _assign(container: Any, tokens: list[tuple[str, str]], value: Any) -> Any:
+    """
+    Recursive helper that *returns* the (possibly new) container with
+    `value` assigned along the remaining `tokens` path.
+    """
+    if not tokens:
+        return value  # leaf reached
+
+    delim, ident = tokens[0]
+    rest = tokens[1:]
+
+    # ---------- list ----------
+    if delim == LIST_SPLIT:
+        try:
+            idx = int(ident)
+        except ValueError:
+            raise ValueError("index must be an integer")
+
+        if container is None:
+            container = []
+        elif not isinstance(container, list):
+            container = list(container) if hasattr(container, "__iter__") else []
+
+        while len(container) <= idx:
+            container.append(None)
+        container[idx] = _assign(container[idx], rest, value)
+        return container
+
+    # ---------- dict ----------
+    if delim == DICT_SPLIT:
+        if container is None:
+            container = {}
+        elif not isinstance(container, dict):
+            container = dict(container) if hasattr(container, "items") else {}
+        container[ident] = _assign(container.get(ident), rest, value)
+        return container
+
+    # ---------- object ----------
+    if delim == OBJC_SPLIT:
+        if container is None or not isinstance(container, MockObject):
+            container = MockObject()
+        setattr(
+            container,
+            ident,
+            _assign(getattr(container, ident, None), rest, value),
+        )
+        return container
+
+    return value  # unreachable
+
+
+def merge_execution_input(data: BlockInput) -> BlockInput:
+    """
+    Reconstruct nested objects from a *flattened* dict of key → value.
+
+    Raises ValueError on syntactically invalid list indices.
+    """
+    merged: BlockInput = {}
+
+    for key, value in data.items():
+        # Split off the base name (before the first delimiter, if any)
+        delim, pos = _next_delim(key)
+        if delim is None:
+            merged[key] = value
+            continue
+
+        base, path = key[:pos], key[pos:]
+        tokens = _tokenise(path)
+        if tokens is None:
+            # Invalid key; treat as scalar under the raw name
+            merged[key] = value
+            continue
+
+        merged[base] = _assign(merged.get(base), tokens, value)
+
+    data.update(merged)
+    return data
+
+
+def validate_exec(
+    node: Node,
+    data: BlockInput,
+    resolve_input: bool = True,
+) -> tuple[BlockInput | None, str]:
+    """
+    Validate the input data for a node execution.
+
+    Args:
+        node: The node to execute.
+        data: The input data for the node execution.
+        resolve_input: Whether to resolve dynamic pins into dict/list/object.
+
+    Returns:
+        A tuple of the validated data and the block name.
+        If the data is invalid, the first element will be None, and the second element
+        will be an error message.
+        If the data is valid, the first element will be the resolved input data, and
+        the second element will be the block name.
+    """
+    node_block = get_block(node.block_id)
+    if not node_block:
+        return None, f"Block for {node.block_id} not found."
+    schema = node_block.input_schema
+
+    # Input data (without default values) should contain all required fields.
+    error_prefix = f"Input data missing or mismatch for `{node_block.name}`:"
+    if missing_links := schema.get_missing_links(data, node.input_links):
+        return None, f"{error_prefix} unpopulated links {missing_links}"
+
+    # Merge input data with default values and resolve dynamic dict/list/object pins.
+    input_default = schema.get_input_defaults(node.input_default)
+    data = {**input_default, **data}
+    if resolve_input:
+        data = merge_execution_input(data)
+
+    # Convert non-matching data types to the expected input schema.
+    for name, data_type in schema.__annotations__.items():
+        value = data.get(name)
+        if (value is not None) and (type(value) is not data_type):
+            data[name] = convert(value, data_type)
+
+    # Input data post-merge should contain all required fields from the schema.
+    if missing_input := schema.get_missing_input(data):
+        return None, f"{error_prefix} missing input {missing_input}"
+
+    # Last validation: Validate the input values against the schema.
+    if error := schema.get_mismatch_error(data):
+        error_message = f"{error_prefix} {error}"
+        logger.warning(error_message)
+        return None, error_message
+
+    return data, node_block.name
+
+
+async def _validate_node_input_credentials(
+    graph: GraphModel,
+    user_id: str,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+) -> dict[str, dict[str, str]]:
+    """
+    Checks all credentials for all nodes of the graph and returns structured errors.
+
+    Returns:
+        dict[node_id, dict[field_name, error_message]]: Credential validation errors per node
+    """
+    credential_errors: dict[str, dict[str, str]] = defaultdict(dict)
+
+    for node in graph.nodes:
+        block = node.block
+
+        # Find any fields of type CredentialsMetaInput
+        credentials_fields = block.input_schema.get_credentials_fields()
+        if not credentials_fields:
+            continue
+
+        for field_name, credentials_meta_type in credentials_fields.items():
+            try:
+                if (
+                    nodes_input_masks
+                    and (node_input_mask := nodes_input_masks.get(node.id))
+                    and field_name in node_input_mask
+                ):
+                    credentials_meta = credentials_meta_type.model_validate(
+                        node_input_mask[field_name]
+                    )
+                elif field_name in node.input_default:
+                    credentials_meta = credentials_meta_type.model_validate(
+                        node.input_default[field_name]
+                    )
+                else:
+                    # Missing credentials
+                    credential_errors[node.id][
+                        field_name
+                    ] = "These credentials are required"
+                    continue
+            except ValidationError as e:
+                credential_errors[node.id][field_name] = f"Invalid credentials: {e}"
+                continue
+
+            try:
+                # Fetch the corresponding Credentials and perform sanity checks
+                credentials = await get_integration_credentials_store().get_creds_by_id(
+                    user_id, credentials_meta.id
+                )
+            except Exception as e:
+                # Handle any errors fetching credentials
+                credential_errors[node.id][
+                    field_name
+                ] = f"Credentials not available: {e}"
+                continue
+
+            if not credentials:
+                credential_errors[node.id][
+                    field_name
+                ] = f"Unknown credentials #{credentials_meta.id}"
+                continue
+
+            if (
+                credentials.provider != credentials_meta.provider
+                or credentials.type != credentials_meta.type
+            ):
+                logger.warning(
+                    f"Invalid credentials #{credentials.id} for node #{node.id}: "
+                    "type/provider mismatch: "
+                    f"{credentials_meta.type}<>{credentials.type};"
+                    f"{credentials_meta.provider}<>{credentials.provider}"
+                )
+                credential_errors[node.id][
+                    field_name
+                ] = "Invalid credentials: type/provider mismatch"
+                continue
+
+    return credential_errors
+
+
+def make_node_credentials_input_map(
+    graph: GraphModel,
+    graph_credentials_input: dict[str, CredentialsMetaInput],
+) -> dict[str, dict[str, JsonValue]]:
+    """
+    Maps credentials for an execution to the correct nodes.
+
+    Params:
+        graph: The graph to be executed.
+        graph_credentials_input: A (graph_input_name, credentials_meta) map.
+
+    Returns:
+        dict[node_id, dict[field_name, CredentialsMetaRaw]]: Node credentials input map.
+    """
+    result: dict[str, dict[str, JsonValue]] = {}
+
+    # Get aggregated credentials fields for the graph
+    graph_cred_inputs = graph.aggregate_credentials_inputs()
+
+    for graph_input_name, (_, compatible_node_fields) in graph_cred_inputs.items():
+        # Best-effort map: skip missing items
+        if graph_input_name not in graph_credentials_input:
+            continue
+
+        # Use passed-in credentials for all compatible node input fields
+        for node_id, node_field_name in compatible_node_fields:
+            if node_id not in result:
+                result[node_id] = {}
+            result[node_id][node_field_name] = graph_credentials_input[
+                graph_input_name
+            ].model_dump(exclude_none=True)
+
+    return result
+
+
+async def validate_graph_with_credentials(
+    graph: GraphModel,
+    user_id: str,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+) -> dict[str, dict[str, str]]:
+    """
+    Validate graph including credentials and return structured errors per node.
+
+    Returns:
+        dict[node_id, dict[field_name, error_message]]: Validation errors per node
+    """
+    # Get input validation errors
+    node_input_errors = GraphModel.validate_graph_get_errors(
+        graph, for_run=True, nodes_input_masks=nodes_input_masks
+    )
+
+    # Get credential input/availability/validation errors
+    node_credential_input_errors = await _validate_node_input_credentials(
+        graph, user_id, nodes_input_masks
+    )
+
+    # Merge credential errors with structural errors
+    for node_id, field_errors in node_credential_input_errors.items():
+        if node_id not in node_input_errors:
+            node_input_errors[node_id] = {}
+        node_input_errors[node_id].update(field_errors)
+
+    return node_input_errors
+
+
+async def _construct_starting_node_execution_input(
+    graph: GraphModel,
+    user_id: str,
+    graph_inputs: BlockInput,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+) -> list[tuple[str, BlockInput]]:
+    """
+    Validates and prepares the input data for executing a graph.
+    This function checks the graph for starting nodes, validates the input data
+    against the schema, and resolves dynamic input pins into a single list,
+    dictionary, or object.
+
+    Args:
+        graph (GraphModel): The graph model to execute.
+        user_id (str): The ID of the user executing the graph.
+        data (BlockInput): The input data for the graph execution.
+        node_credentials_map: `dict[node_id, dict[input_name, CredentialsMetaInput]]`
+
+    Returns:
+        list[tuple[str, BlockInput]]: A list of tuples, each containing the node ID and
+            the corresponding input data for that node.
+    """
+    # Use new validation function that includes credentials
+    validation_errors = await validate_graph_with_credentials(
+        graph, user_id, nodes_input_masks
+    )
+    n_error_nodes = len(validation_errors)
+    n_errors = sum(len(errors) for errors in validation_errors.values())
+    if validation_errors:
+        raise GraphValidationError(
+            f"Graph validation failed: {n_errors} issues on {n_error_nodes} nodes",
+            node_errors=validation_errors,
+        )
+
+    nodes_input = []
+    for node in graph.starting_nodes:
+        input_data = {}
+        block = node.block
+
+        # Note block should never be executed.
+        if block.block_type == BlockType.NOTE:
+            continue
+
+        # Extract request input data, and assign it to the input pin.
+        if block.block_type == BlockType.INPUT:
+            input_name = node.input_default.get("name")
+            if input_name and input_name in graph_inputs:
+                input_data = {"value": graph_inputs[input_name]}
+
+        # Apply node input overrides
+        if nodes_input_masks and (node_input_mask := nodes_input_masks.get(node.id)):
+            input_data.update(node_input_mask)
+
+        input_data, error = validate_exec(node, input_data)
+        if input_data is None:
+            raise ValueError(error)
+        else:
+            nodes_input.append((node.id, input_data))
+
+    if not nodes_input:
+        raise ValueError(
+            "No starting nodes found for the graph, make sure an AgentInput or blocks with no inbound links are present as starting nodes."
+        )
+
+    return nodes_input
+
+
+async def validate_and_construct_node_execution_input(
+    graph_id: str,
+    user_id: str,
+    graph_inputs: BlockInput,
+    graph_version: Optional[int] = None,
+    graph_credentials_inputs: Optional[dict[str, CredentialsMetaInput]] = None,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+) -> tuple[GraphModel, list[tuple[str, BlockInput]], dict[str, dict[str, JsonValue]]]:
+    """
+    Public wrapper that handles graph fetching, credential mapping, and validation+construction.
+    This centralizes the logic used by both scheduler validation and actual execution.
+
+    Args:
+        graph_id: The ID of the graph to validate/construct.
+        user_id: The ID of the user.
+        graph_inputs: The input data for the graph execution.
+        graph_version: The version of the graph to use.
+        graph_credentials_inputs: Credentials inputs to use.
+        nodes_input_masks: Node inputs to use.
+
+    Returns:
+        tuple[GraphModel, list[tuple[str, BlockInput]]]: Graph model and list of tuples for node execution input.
+
+    Raises:
+        NotFoundError: If the graph is not found.
+        GraphValidationError: If the graph has validation issues.
+        ValueError: If there are other validation errors.
+    """
+    if prisma.is_connected():
+        gdb = graph_db
+    else:
+        gdb = get_database_manager_async_client()
+
+    graph: GraphModel | None = await gdb.get_graph(
+        graph_id=graph_id,
+        user_id=user_id,
+        version=graph_version,
+        include_subgraphs=True,
+    )
+    if not graph:
+        raise NotFoundError(f"Graph #{graph_id} not found.")
+
+    nodes_input_masks = _merge_nodes_input_masks(
+        (
+            make_node_credentials_input_map(graph, graph_credentials_inputs)
+            if graph_credentials_inputs
+            else {}
+        ),
+        nodes_input_masks or {},
+    )
+
+    starting_nodes_input = await _construct_starting_node_execution_input(
+        graph=graph,
+        user_id=user_id,
+        graph_inputs=graph_inputs,
+        nodes_input_masks=nodes_input_masks,
+    )
+
+    return graph, starting_nodes_input, nodes_input_masks
+
+
+def _merge_nodes_input_masks(
+    overrides_map_1: dict[str, dict[str, JsonValue]],
+    overrides_map_2: dict[str, dict[str, JsonValue]],
+) -> dict[str, dict[str, JsonValue]]:
+    """Perform a per-node merge of input overrides"""
+    result = overrides_map_1.copy()
+    for node_id, overrides2 in overrides_map_2.items():
+        if node_id in result:
+            result[node_id] = {**result[node_id], **overrides2}
+        else:
+            result[node_id] = overrides2
+    return result
+
+
+# ============ Execution Queue Helpers ============ #
+
+GRAPH_EXECUTION_EXCHANGE = Exchange(
+    name="graph_execution",
+    type=ExchangeType.DIRECT,
+    durable=True,
+    auto_delete=False,
+)
+GRAPH_EXECUTION_QUEUE_NAME = "graph_execution_queue"
+GRAPH_EXECUTION_ROUTING_KEY = "graph_execution.run"
+
+GRAPH_EXECUTION_CANCEL_EXCHANGE = Exchange(
+    name="graph_execution_cancel",
+    type=ExchangeType.FANOUT,
+    durable=True,
+    auto_delete=True,
+)
+GRAPH_EXECUTION_CANCEL_QUEUE_NAME = "graph_execution_cancel_queue"
+
+# Graceful shutdown timeout constants
+# Agent executions can run for up to 1 day, so we need a graceful shutdown period
+# that allows long-running executions to complete naturally
+GRACEFUL_SHUTDOWN_TIMEOUT_SECONDS = 24 * 60 * 60  # 1 day to complete active executions
+
+
+def create_execution_queue_config() -> RabbitMQConfig:
+    """
+    Define two exchanges and queues:
+    - 'graph_execution' (DIRECT) for run tasks.
+    - 'graph_execution_cancel' (FANOUT) for cancel requests.
+    """
+    run_queue = Queue(
+        name=GRAPH_EXECUTION_QUEUE_NAME,
+        exchange=GRAPH_EXECUTION_EXCHANGE,
+        routing_key=GRAPH_EXECUTION_ROUTING_KEY,
+        durable=True,
+        auto_delete=False,
+        arguments={
+            # x-consumer-timeout (1 week)
+            # Problem: Default 30-minute consumer timeout kills long-running graph executions
+            # Original error: "Consumer acknowledgement timed out after 1800000 ms (30 minutes)"
+            # Solution: Disable consumer timeout entirely - let graphs run indefinitely
+            # Safety: Heartbeat mechanism now handles dead consumer detection instead
+            # Use case: Graph executions that take hours to complete (AI model training, etc.)
+            "x-consumer-timeout": GRACEFUL_SHUTDOWN_TIMEOUT_SECONDS
+            * 1000,
+        },
+    )
+    cancel_queue = Queue(
+        name=GRAPH_EXECUTION_CANCEL_QUEUE_NAME,
+        exchange=GRAPH_EXECUTION_CANCEL_EXCHANGE,
+        routing_key="",  # not used for FANOUT
+        durable=True,
+        auto_delete=False,
+    )
+    return RabbitMQConfig(
+        vhost="/",
+        exchanges=[GRAPH_EXECUTION_EXCHANGE, GRAPH_EXECUTION_CANCEL_EXCHANGE],
+        queues=[run_queue, cancel_queue],
+    )
+
+
+class CancelExecutionEvent(BaseModel):
+    graph_exec_id: str
+
+
+async def stop_graph_execution(
+    user_id: str,
+    graph_exec_id: str,
+    wait_timeout: float = 15.0,
+):
+    """
+    Mechanism:
+    1. Set the cancel event
+    2. Graph executor's cancel handler thread detects the event, terminates workers,
+       reinitializes worker pool, and returns.
+    3. Update execution statuses in DB and set `error` outputs to `"TERMINATED"`.
+    """
+    queue_client = await get_async_execution_queue()
+    db = execution_db if prisma.is_connected() else get_database_manager_async_client()
+    await queue_client.publish_message(
+        routing_key="",
+        message=CancelExecutionEvent(graph_exec_id=graph_exec_id).model_dump_json(),
+        exchange=GRAPH_EXECUTION_CANCEL_EXCHANGE,
+    )
+
+    if not wait_timeout:
+        return
+
+    start_time = time.time()
+    while time.time() - start_time < wait_timeout:
+        graph_exec = await db.get_graph_execution_meta(
+            execution_id=graph_exec_id, user_id=user_id
+        )
+
+        if not graph_exec:
+            raise NotFoundError(f"Graph execution #{graph_exec_id} not found.")
+
+        if graph_exec.status in [
+            ExecutionStatus.TERMINATED,
+            ExecutionStatus.COMPLETED,
+            ExecutionStatus.FAILED,
+        ]:
+            # If graph execution is terminated/completed/failed, cancellation is complete
+            await get_async_execution_event_bus().publish(graph_exec)
+            return
+
+        if graph_exec.status in [
+            ExecutionStatus.QUEUED,
+            ExecutionStatus.INCOMPLETE,
+        ]:
+            # If the graph is still on the queue, we can prevent them from being executed
+            # by setting the status to TERMINATED.
+            graph_exec.status = ExecutionStatus.TERMINATED
+
+            await asyncio.gather(
+                # Update graph execution status
+                db.update_graph_execution_stats(
+                    graph_exec_id=graph_exec.id,
+                    status=ExecutionStatus.TERMINATED,
+                ),
+                # Publish graph execution event
+                get_async_execution_event_bus().publish(graph_exec),
+            )
+            return
+
+        if graph_exec.status == ExecutionStatus.RUNNING:
+            await asyncio.sleep(0.1)
+
+    raise TimeoutError(
+        f"Graph execution #{graph_exec_id} will need to take longer than {wait_timeout} seconds to stop. "
+        f"You can check the status of the execution in the UI or try again later."
+    )
+
+
+async def add_graph_execution(
+    graph_id: str,
+    user_id: str,
+    inputs: Optional[BlockInput] = None,
+    preset_id: Optional[str] = None,
+    graph_version: Optional[int] = None,
+    graph_credentials_inputs: Optional[dict[str, CredentialsMetaInput]] = None,
+    nodes_input_masks: Optional[dict[str, dict[str, JsonValue]]] = None,
+) -> GraphExecutionWithNodes:
+    """
+    Adds a graph execution to the queue and returns the execution entry.
+
+    Args:
+        graph_id: The ID of the graph to execute.
+        user_id: The ID of the user executing the graph.
+        inputs: The input data for the graph execution.
+        preset_id: The ID of the preset to use.
+        graph_version: The version of the graph to execute.
+        graph_credentials_inputs: Credentials inputs to use in the execution.
+            Keys should map to the keys generated by `GraphModel.aggregate_credentials_inputs`.
+        nodes_input_masks: Node inputs to use in the execution.
+    Returns:
+        GraphExecutionEntry: The entry for the graph execution.
+    Raises:
+        ValueError: If the graph is not found or if there are validation errors.
+    """
+    if prisma.is_connected():
+        edb = execution_db
+    else:
+        edb = get_database_manager_async_client()
+
+    graph, starting_nodes_input, nodes_input_masks = (
+        await validate_and_construct_node_execution_input(
+            graph_id=graph_id,
+            user_id=user_id,
+            graph_inputs=inputs or {},
+            graph_version=graph_version,
+            graph_credentials_inputs=graph_credentials_inputs,
+            nodes_input_masks=nodes_input_masks,
+        )
+    )
+    graph_exec = None
+
+    try:
+        graph_exec = await edb.create_graph_execution(
+            user_id=user_id,
+            graph_id=graph_id,
+            graph_version=graph.version,
+            starting_nodes_input=starting_nodes_input,
+            preset_id=preset_id,
+        )
+
+        # Fetch user context for the graph execution
+        user_context = await get_user_context(user_id)
+
+        queue = await get_async_execution_queue()
+        graph_exec_entry = graph_exec.to_graph_execution_entry(user_context)
+        if nodes_input_masks:
+            graph_exec_entry.nodes_input_masks = nodes_input_masks
+
+        logger.info(
+            f"Created graph execution #{graph_exec.id} for graph "
+            f"#{graph_id} with {len(starting_nodes_input)} starting nodes. "
+            f"Now publishing to execution queue."
+        )
+
+        await queue.publish_message(
+            routing_key=GRAPH_EXECUTION_ROUTING_KEY,
+            message=graph_exec_entry.model_dump_json(),
+            exchange=GRAPH_EXECUTION_EXCHANGE,
+        )
+        logger.info(f"Published execution {graph_exec.id} to RabbitMQ queue")
+
+        bus = get_async_execution_event_bus()
+        await bus.publish(graph_exec)
+
+        return graph_exec
+    except BaseException as e:
+        err = str(e) or type(e).__name__
+        if not graph_exec:
+            logger.error(f"Unable to execute graph #{graph_id} failed: {err}")
+            raise
+
+        logger.error(
+            f"Unable to publish graph #{graph_id} exec #{graph_exec.id}: {err}"
+        )
+        await edb.update_node_execution_status_batch(
+            [node_exec.node_exec_id for node_exec in graph_exec.node_executions],
+            ExecutionStatus.FAILED,
+        )
+        await edb.update_graph_execution_stats(
+            graph_exec_id=graph_exec.id,
+            status=ExecutionStatus.FAILED,
+            stats=GraphExecutionStats(error=err),
+        )
+        raise
+
+
+# ============ Execution Output Helpers ============ #
+
+
+class ExecutionOutputEntry(BaseModel):
+    node: Node
+    node_exec_id: str
+    data: BlockData
+
+
+class NodeExecutionProgress:
+    def __init__(self):
+        self.output: dict[str, list[ExecutionOutputEntry]] = defaultdict(list)
+        self.tasks: dict[str, Future] = {}
+        self._lock = threading.Lock()
+
+    def add_task(self, node_exec_id: str, task: Future):
+        self.tasks[node_exec_id] = task
+
+    def add_output(self, output: ExecutionOutputEntry):
+        with self._lock:
+            self.output[output.node_exec_id].append(output)
+
+    def pop_output(self) -> ExecutionOutputEntry | None:
+        exec_id = self._next_exec()
+        if not exec_id:
+            return None
+
+        if self._pop_done_task(exec_id):
+            return self.pop_output()
+
+        with self._lock:
+            if next_output := self.output[exec_id]:
+                return next_output.pop(0)
+
+        return None
+
+    def is_done(self, wait_time: float = 0.0) -> bool:
+        exec_id = self._next_exec()
+        if not exec_id:
+            return True
+
+        if self._pop_done_task(exec_id):
+            return self.is_done(wait_time)
+
+        if wait_time <= 0:
+            return False
+
+        try:
+            self.tasks[exec_id].result(wait_time)
+        except TimeoutError:
+            pass
+        except Exception as e:
+            logger.error(
+                f"Task for exec ID {exec_id} failed with error: {e.__class__.__name__} {str(e)}"
+            )
+            pass
+        return self.is_done(0)
+
+    def stop(self) -> list[str]:
+        """
+        Stops all tasks and clears the output.
+        This is useful for cleaning up when the execution is cancelled or terminated.
+        Returns a list of execution IDs that were stopped.
+        """
+        cancelled_ids = []
+        for task_id, task in self.tasks.items():
+            if task.done():
+                continue
+            task.cancel()
+            cancelled_ids.append(task_id)
+        return cancelled_ids
+
+    def wait_for_done(self, timeout: float = 5.0):
+        """
+        Wait for all cancelled tasks to complete cancellation.
+
+        Args:
+            timeout: Maximum time to wait for cancellation in seconds
+        """
+        start_time = time.time()
+
+        while time.time() - start_time < timeout:
+            while self.pop_output():
+                pass
+
+            if self.is_done():
+                return
+
+            time.sleep(0.1)  # Small delay to avoid busy waiting
+
+        raise TimeoutError(
+            f"Timeout waiting for cancellation of tasks: {list(self.tasks.keys())}"
+        )
+
+    def _pop_done_task(self, exec_id: str) -> bool:
+        task = self.tasks.get(exec_id)
+        if not task:
+            return True
+
+        if not task.done():
+            return False
+
+        with self._lock:
+            if self.output[exec_id]:
+                return False
+
+        self.tasks.pop(exec_id)
+        return True
+
+    def _next_exec(self) -> str | None:
+        if not self.tasks:
+            return None
+        return next(iter(self.tasks.keys()))
diff --git a/autogpt_platform/backend/backend/integrations/ayrshare.py b/autogpt_platform/backend/backend/integrations/ayrshare.py
new file mode 100644
index 000000000000..42e069b4aca5
--- /dev/null
+++ b/autogpt_platform/backend/backend/integrations/ayrshare.py
@@ -0,0 +1,515 @@
+from __future__ import annotations
+
+import json
+import logging
+from enum import Enum
+from typing import Any, Optional
+
+from pydantic import BaseModel
+
+from backend.util.exceptions import MissingConfigError
+from backend.util.request import Requests
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+
+settings = Settings()
+
+
+class AyrshareAPIException(Exception):
+    def __init__(self, message: str, status_code: int):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class SocialPlatform(str, Enum):
+    BLUESKY = "bluesky"
+    FACEBOOK = "facebook"
+    TWITTER = "twitter"
+    LINKEDIN = "linkedin"
+    INSTAGRAM = "instagram"
+    YOUTUBE = "youtube"
+    REDDIT = "reddit"
+    TELEGRAM = "telegram"
+    GOOGLE_MY_BUSINESS = "gmb"
+    PINTEREST = "pinterest"
+    TIKTOK = "tiktok"
+    SNAPCHAT = "snapchat"
+    THREADS = "threads"
+
+
+class EmailConfig(BaseModel):
+    to: str
+    subject: Optional[str] = None
+    body: Optional[str] = None
+    from_name: Optional[str] = None
+    from_email: Optional[str] = None
+
+
+class JWTResponse(BaseModel):
+    status: str
+    title: str
+    token: str
+    url: str
+    emailSent: Optional[bool] = None
+    expiresIn: Optional[str] = None
+
+
+class ProfileResponse(BaseModel):
+    status: str
+    title: str
+    refId: str
+    profileKey: str
+    messagingActive: Optional[bool] = None
+
+
+class PostResponse(BaseModel):
+    status: str
+    id: str
+    refId: str
+    profileTitle: str
+    post: str
+    postIds: Optional[list[PostIds]] = None
+    scheduleDate: Optional[str] = None
+    errors: Optional[list[str]] = None
+
+
+class PostIds(BaseModel):
+    status: str
+    id: str
+    postUrl: str
+    platform: str
+
+
+class AutoHashtag(BaseModel):
+    max: Optional[int] = None
+    position: Optional[str] = None
+
+
+class FirstComment(BaseModel):
+    text: str
+    platforms: Optional[list[SocialPlatform]] = None
+
+
+class AutoSchedule(BaseModel):
+    interval: str
+    platforms: Optional[list[SocialPlatform]] = None
+    startDate: Optional[str] = None
+    endDate: Optional[str] = None
+
+
+class AutoRepost(BaseModel):
+    interval: str
+    platforms: Optional[list[SocialPlatform]] = None
+    startDate: Optional[str] = None
+    endDate: Optional[str] = None
+
+
+class AyrshareClient:
+    """Client for the Ayrshare Social Media Post API"""
+
+    API_URL = "https://api.ayrshare.com/api"
+    POST_ENDPOINT = f"{API_URL}/post"
+    PROFILES_ENDPOINT = f"{API_URL}/profiles"
+    JWT_ENDPOINT = f"{PROFILES_ENDPOINT}/generateJWT"
+
+    def __init__(
+        self,
+        custom_requests: Optional[Requests] = None,
+    ):
+        if not settings.secrets.ayrshare_api_key:
+            raise MissingConfigError("AYRSHARE_API_KEY is not configured")
+
+        headers: dict[str, str] = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {settings.secrets.ayrshare_api_key}",
+        }
+        self.headers = headers
+
+        if custom_requests:
+            self._requests = custom_requests
+        else:
+            self._requests = Requests(
+                extra_headers=headers,
+                trusted_origins=["https://api.ayrshare.com"],
+            )
+
+    async def generate_jwt(
+        self,
+        private_key: str,
+        profile_key: str,
+        logout: Optional[bool] = None,
+        redirect: Optional[str] = None,
+        allowed_social: Optional[list[SocialPlatform]] = None,
+        verify: Optional[bool] = None,
+        base64: Optional[bool] = None,
+        expires_in: Optional[int] = None,
+        email: Optional[EmailConfig] = None,
+    ) -> JWTResponse:
+        """
+        Generate a JSON Web Token (JWT) for use with single sign on.
+
+        Docs: https://www.ayrshare.com/docs/apis/profiles/generate-jwt-overview
+
+        Args:
+            domain: Domain of app. Must match the domain given during onboarding.
+            private_key: Private Key used for encryption.
+            profile_key: User Profile Key (not the API Key).
+            logout: Automatically logout the current session.
+            redirect: URL to redirect to when the "Done" button or logo is clicked.
+            allowed_social: List of social networks to display in the linking page.
+            verify: Verify that the generated token is valid (recommended for non-production).
+            base64: Whether the private key is base64 encoded.
+            expires_in: Token longevity in minutes (1-2880).
+            email: Configuration for sending Connect Accounts email.
+
+        Returns:
+            JWTResponse object containing the JWT token and URL.
+
+        Raises:
+            AyrshareAPIException: If the API request fails or private key is invalid.
+        """
+        payload: dict[str, Any] = {
+            "domain": "id-pojeg",
+            "privateKey": private_key,
+            "profileKey": profile_key,
+        }
+
+        headers = self.headers
+        headers["Profile-Key"] = profile_key
+        if logout is not None:
+            payload["logout"] = logout
+        if redirect is not None:
+            payload["redirect"] = redirect
+        if allowed_social is not None:
+            payload["allowedSocial"] = [p.value for p in allowed_social]
+        if verify is not None:
+            payload["verify"] = verify
+        if base64 is not None:
+            payload["base64"] = base64
+        if expires_in is not None:
+            payload["expiresIn"] = expires_in
+        if email is not None:
+            payload["email"] = email.model_dump(exclude_none=True)
+
+        response = await self._requests.post(
+            self.JWT_ENDPOINT, json=payload, headers=headers
+        )
+
+        if not response.ok:
+            try:
+                error_data = response.json()
+                error_message = error_data.get("message", "Unknown error")
+            except json.JSONDecodeError:
+                error_message = response.text()
+
+            raise AyrshareAPIException(
+                f"Ayrshare API request failed ({response.status}): {error_message}",
+                response.status,
+            )
+
+        response_data = response.json()
+        if response_data.get("status") != "success":
+            raise AyrshareAPIException(
+                f"Ayrshare API returned error: {response_data.get('message', 'Unknown error')}",
+                response.status,
+            )
+
+        return JWTResponse(**response_data)
+
+    async def create_profile(
+        self,
+        title: str,
+        messaging_active: Optional[bool] = None,
+        hide_top_header: Optional[bool] = None,
+        top_header: Optional[str] = None,
+        disable_social: Optional[list[SocialPlatform]] = None,
+        team: Optional[bool] = None,
+        email: Optional[str] = None,
+        sub_header: Optional[str] = None,
+        tags: Optional[list[str]] = None,
+    ) -> ProfileResponse:
+        """
+        Create a new User Profile under your Primary Profile.
+
+        Docs: https://www.ayrshare.com/docs/apis/profiles/create-profile
+
+        Args:
+            title: Title of the new profile. Must be unique.
+            messaging_active: Set to true to activate messaging for this user profile.
+            hide_top_header: Hide the top header on the social accounts linkage page.
+            top_header: Change the header on the social accounts linkage page.
+            disable_social: Array of social networks that are disabled for this user's profile.
+            team: Create a new user profile as a team member.
+            email: Email address for team member invite (required if team is true).
+            sub_header: Change the sub header on the social accounts linkage page.
+            tags: Array of strings to tag user profiles.
+
+        Returns:
+            ProfileResponse object containing the profile details and profile key.
+
+        Raises:
+            AyrshareAPIException: If the API request fails or profile title already exists.
+        """
+        payload: dict[str, Any] = {
+            "title": title,
+        }
+
+        if messaging_active is not None:
+            payload["messagingActive"] = messaging_active
+        if hide_top_header is not None:
+            payload["hideTopHeader"] = hide_top_header
+        if top_header is not None:
+            payload["topHeader"] = top_header
+        if disable_social is not None:
+            payload["disableSocial"] = [p.value for p in disable_social]
+        if team is not None:
+            payload["team"] = team
+        if email is not None:
+            payload["email"] = email
+        if sub_header is not None:
+            payload["subHeader"] = sub_header
+        if tags is not None:
+            payload["tags"] = tags
+
+        response = await self._requests.post(self.PROFILES_ENDPOINT, json=payload)
+
+        if not response.ok:
+            try:
+                error_data = response.json()
+                error_message = error_data.get("message", "Unknown error")
+            except json.JSONDecodeError:
+                error_message = response.text()
+
+            raise AyrshareAPIException(
+                f"Ayrshare API request failed ({response.status}): {error_message}",
+                response.status,
+            )
+
+        response_data = response.json()
+        if response_data.get("status") != "success":
+            raise AyrshareAPIException(
+                f"Ayrshare API returned error: {response_data.get('message', 'Unknown error')}",
+                response.status,
+            )
+
+        return ProfileResponse(**response_data)
+
+    async def create_post(
+        self,
+        post: str,
+        platforms: list[SocialPlatform],
+        *,
+        media_urls: Optional[list[str]] = None,
+        is_video: Optional[bool] = None,
+        schedule_date: Optional[str] = None,
+        validate_schedule: Optional[bool] = None,
+        first_comment: Optional[FirstComment] = None,
+        disable_comments: Optional[bool] = None,
+        shorten_links: Optional[bool] = None,
+        auto_schedule: Optional[AutoSchedule] = None,
+        auto_repost: Optional[AutoRepost] = None,
+        auto_hashtag: Optional[AutoHashtag | bool] = None,
+        unsplash: Optional[str] = None,
+        bluesky_options: Optional[dict[str, Any]] = None,
+        facebook_options: Optional[dict[str, Any]] = None,
+        gmb_options: Optional[dict[str, Any]] = None,
+        instagram_options: Optional[dict[str, Any]] = None,
+        linkedin_options: Optional[dict[str, Any]] = None,
+        pinterest_options: Optional[dict[str, Any]] = None,
+        reddit_options: Optional[dict[str, Any]] = None,
+        snapchat_options: Optional[dict[str, Any]] = None,
+        telegram_options: Optional[dict[str, Any]] = None,
+        threads_options: Optional[dict[str, Any]] = None,
+        tiktok_options: Optional[dict[str, Any]] = None,
+        twitter_options: Optional[dict[str, Any]] = None,
+        youtube_options: Optional[dict[str, Any]] = None,
+        requires_approval: Optional[bool] = None,
+        random_post: Optional[bool] = None,
+        random_media_url: Optional[bool] = None,
+        idempotency_key: Optional[str] = None,
+        notes: Optional[str] = None,
+        profile_key: Optional[str] = None,
+    ) -> PostResponse:
+        """
+        Create a post across multiple social media platforms.
+
+        Docs: https://www.ayrshare.com/docs/apis/post/post
+
+        Args:
+            post: The post text to be published - required
+            platforms: List of platforms to post to (e.g. [SocialPlatform.TWITTER, SocialPlatform.FACEBOOK]) - required
+            media_urls: Optional list of media URLs to include - required if is_video is true
+            is_video: Whether the media is a video - default is false (in api docs)
+            schedule_date: UTC datetime for scheduling (YYYY-MM-DDThh:mm:ssZ) - default is None (in api docs)
+            validate_schedule: Whether to validate the schedule date - default is false (in api docs)
+            first_comment: Configuration for first comment - default is None (in api docs)
+            disable_comments: Whether to disable comments - default is false (in api docs)
+            shorten_links: Whether to shorten links - default is false (in api docs)
+            auto_schedule: Configuration for automatic scheduling - default is None (in api docs https://www.ayrshare.com/docs/apis/auto-schedule/overview)
+            auto_repost: Configuration for automatic reposting - default is None (in api docs https://www.ayrshare.com/docs/apis/post/overview#auto-repost)
+            auto_hashtag: Configuration for automatic hashtags - default is None (in api docs https://www.ayrshare.com/docs/apis/post/overview#auto-hashtags)
+            unsplash: Unsplash image configuration - default is None (in api docs https://www.ayrshare.com/docs/apis/post/overview#unsplash)
+
+            ------------------------------------------------------------
+
+            bluesky_options: Bluesky-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/bluesky
+            facebook_options: Facebook-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/facebook
+            gmb_options: Google Business Profile options - https://www.ayrshare.com/docs/apis/post/social-networks/google
+            instagram_options: Instagram-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/instagram
+            linkedin_options: LinkedIn-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/linkedin
+            pinterest_options: Pinterest-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/pinterest
+            reddit_options: Reddit-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/reddit
+            snapchat_options: Snapchat-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/snapchat
+            telegram_options: Telegram-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/telegram
+            threads_options: Threads-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/threads
+            tiktok_options: TikTok-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/tiktok
+            twitter_options: Twitter-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/twitter
+            youtube_options: YouTube-specific options - https://www.ayrshare.com/docs/apis/post/social-networks/youtube
+
+            ------------------------------------------------------------
+
+
+            requires_approval: Whether to enable approval workflow - default is false (in api docs)
+            random_post: Whether to generate random post text - default is false (in api docs)
+            random_media_url: Whether to generate random media - default is false (in api docs)
+            idempotency_key: Unique ID for the post - default is None (in api docs)
+            notes: Additional notes for the post - default is None (in api docs)
+
+        Returns:
+            PostResponse object containing the post details and status
+
+        Raises:
+            AyrshareAPIException: If the API request fails
+        """
+
+        payload: dict[str, Any] = {
+            "post": post,
+            "platforms": [p.value for p in platforms],
+        }
+
+        # Add optional parameters if provided
+        if media_urls:
+            payload["mediaUrls"] = media_urls
+        if is_video is not None:
+            payload["isVideo"] = is_video
+        if schedule_date:
+            payload["scheduleDate"] = schedule_date
+        if validate_schedule is not None:
+            payload["validateSchedule"] = validate_schedule
+        if first_comment:
+            first_comment_dict = first_comment.model_dump(exclude_none=True)
+            if first_comment.platforms:
+                first_comment_dict["platforms"] = [
+                    p.value for p in first_comment.platforms
+                ]
+            payload["firstComment"] = first_comment_dict
+        if disable_comments is not None:
+            payload["disableComments"] = disable_comments
+        if shorten_links is not None:
+            payload["shortenLinks"] = shorten_links
+        if auto_schedule:
+            auto_schedule_dict = auto_schedule.model_dump(exclude_none=True)
+            if auto_schedule.platforms:
+                auto_schedule_dict["platforms"] = [
+                    p.value for p in auto_schedule.platforms
+                ]
+            payload["autoSchedule"] = auto_schedule_dict
+        if auto_repost:
+            auto_repost_dict = auto_repost.model_dump(exclude_none=True)
+            if auto_repost.platforms:
+                auto_repost_dict["platforms"] = [p.value for p in auto_repost.platforms]
+            payload["autoRepost"] = auto_repost_dict
+        if auto_hashtag:
+            payload["autoHashtag"] = (
+                auto_hashtag.model_dump(exclude_none=True)
+                if isinstance(auto_hashtag, AutoHashtag)
+                else auto_hashtag
+            )
+        if unsplash:
+            payload["unsplash"] = unsplash
+        if bluesky_options:
+            payload["blueskyOptions"] = bluesky_options
+        if facebook_options:
+            payload["faceBookOptions"] = facebook_options
+        if gmb_options:
+            payload["gmbOptions"] = gmb_options
+        if instagram_options:
+            payload["instagramOptions"] = instagram_options
+        if linkedin_options:
+            payload["linkedInOptions"] = linkedin_options
+        if pinterest_options:
+            payload["pinterestOptions"] = pinterest_options
+        if reddit_options:
+            payload["redditOptions"] = reddit_options
+        if snapchat_options:
+            payload["snapchatOptions"] = snapchat_options
+        if telegram_options:
+            payload["telegramOptions"] = telegram_options
+        if threads_options:
+            payload["threadsOptions"] = threads_options
+        if tiktok_options:
+            payload["tikTokOptions"] = tiktok_options
+        if twitter_options:
+            payload["twitterOptions"] = twitter_options
+        if youtube_options:
+            payload["youTubeOptions"] = youtube_options
+        if requires_approval is not None:
+            payload["requiresApproval"] = requires_approval
+        if random_post is not None:
+            payload["randomPost"] = random_post
+        if random_media_url is not None:
+            payload["randomMediaUrl"] = random_media_url
+        if idempotency_key:
+            payload["idempotencyKey"] = idempotency_key
+        if notes:
+            payload["notes"] = notes
+
+        headers = self.headers
+        if profile_key:
+            headers["Profile-Key"] = profile_key
+
+        response = await self._requests.post(
+            self.POST_ENDPOINT, json=payload, headers=headers
+        )
+        logger.warning(f"Ayrshare request: {payload} and headers: {headers}")
+        if not response.ok:
+            logger.error(
+                f"Ayrshare API request failed ({response.status}): {response.text()}"
+            )
+            try:
+                error_data = response.json()
+                error_message = error_data.get("message", "Unknown error")
+            except json.JSONDecodeError:
+                error_message = response.text()
+
+            raise AyrshareAPIException(
+                f"Ayrshare API request failed ({response.status}): {error_message}",
+                response.status,
+            )
+
+        response_data = response.json()
+        if response_data.get("status") != "success":
+            logger.error(
+                f"Ayrshare API returned error: {response_data.get('message', 'Unknown error')}"
+            )
+            raise AyrshareAPIException(
+                f"Ayrshare API returned error: {response_data.get('message', 'Unknown error')}",
+                response.status,
+            )
+
+        # Ayrshare returns an array of posts even for single posts
+        # It seems like there is only ever one post in the array, and within that
+        # there are multiple postIds
+
+        # There is a seperate endpoint for bulk posting, so feels safe to just take
+        # the first post from the array
+
+        if len(response_data["posts"]) == 0:
+            logger.error("Ayrshare API returned no posts")
+            raise AyrshareAPIException(
+                "Ayrshare API returned no posts",
+                response.status,
+            )
+        logger.warn(f"Ayrshare API returned posts: {response_data['posts']}")
+        return PostResponse(**response_data["posts"][0])
diff --git a/autogpt_platform/backend/backend/integrations/credentials_store.py b/autogpt_platform/backend/backend/integrations/credentials_store.py
index 7d539b73c476..75ae346d5db4 100644
--- a/autogpt_platform/backend/backend/integrations/credentials_store.py
+++ b/autogpt_platform/backend/backend/integrations/credentials_store.py
@@ -1,15 +1,14 @@
+import base64
+import hashlib
 import secrets
+from contextlib import asynccontextmanager
 from datetime import datetime, timedelta, timezone
-from typing import TYPE_CHECKING
+from typing import Optional
 
+from autogpt_libs.utils.synchronize import AsyncRedisKeyedMutex
 from pydantic import SecretStr
 
-if TYPE_CHECKING:
-    from backend.executor.database import DatabaseManager
-
-from autogpt_libs.utils.cache import thread_cached
-from autogpt_libs.utils.synchronize import RedisKeyedMutex
-
+from backend.data.db import prisma
 from backend.data.model import (
     APIKeyCredentials,
     Credentials,
@@ -17,10 +16,20 @@
     OAuthState,
     UserIntegrations,
 )
+from backend.data.redis_client import get_redis_async
 from backend.util.settings import Settings
 
 settings = Settings()
 
+# This is an overrride since ollama doesn't actually require an API key, but the creddential system enforces one be attached
+ollama_credentials = APIKeyCredentials(
+    id="744fdc56-071a-4761-b5a5-0af0ce10a2b5",
+    provider="ollama",
+    api_key=SecretStr("FAKE_API_KEY"),
+    title="Use Credits for Ollama",
+    expires_at=None,
+)
+
 revid_credentials = APIKeyCredentials(
     id="fdb7f412-f519-48d1-9b5f-d2f73d0e01fe",
     provider="revid",
@@ -49,6 +58,13 @@
     title="Use Credits for OpenAI",
     expires_at=None,
 )
+aiml_api_credentials = APIKeyCredentials(
+    id="aad82a89-9794-4ebb-977f-d736aa5260a3",
+    provider="aiml_api",
+    api_key=SecretStr(settings.secrets.aiml_api_key),
+    title="Use Credits for AI/ML API",
+    expires_at=None,
+)
 anthropic_credentials = APIKeyCredentials(
     id="24e5d942-d9e3-4798-8151-90143ee55629",
     provider="anthropic",
@@ -91,50 +107,176 @@
     title="Use Credits for Open Router",
     expires_at=None,
 )
+fal_credentials = APIKeyCredentials(
+    id="6c0f5bd0-9008-4638-9d79-4b40b631803e",
+    provider="fal",
+    api_key=SecretStr(settings.secrets.fal_api_key),
+    title="Use Credits for FAL",
+    expires_at=None,
+)
+exa_credentials = APIKeyCredentials(
+    id="96153e04-9c6c-4486-895f-5bb683b1ecec",
+    provider="exa",
+    api_key=SecretStr(settings.secrets.exa_api_key),
+    title="Use Credits for Exa search",
+    expires_at=None,
+)
+e2b_credentials = APIKeyCredentials(
+    id="78d19fd7-4d59-4a16-8277-3ce310acf2b7",
+    provider="e2b",
+    api_key=SecretStr(settings.secrets.e2b_api_key),
+    title="Use Credits for E2B",
+    expires_at=None,
+)
+nvidia_credentials = APIKeyCredentials(
+    id="96b83908-2789-4dec-9968-18f0ece4ceb3",
+    provider="nvidia",
+    api_key=SecretStr(settings.secrets.nvidia_api_key),
+    title="Use Credits for Nvidia",
+    expires_at=None,
+)
+screenshotone_credentials = APIKeyCredentials(
+    id="3b1bdd16-8818-4bc2-8cbb-b23f9a3439ed",
+    provider="screenshotone",
+    api_key=SecretStr(settings.secrets.screenshotone_api_key),
+    title="Use Credits for ScreenshotOne",
+    expires_at=None,
+)
+mem0_credentials = APIKeyCredentials(
+    id="ed55ac19-356e-4243-a6cb-bc599e9b716f",
+    provider="mem0",
+    api_key=SecretStr(settings.secrets.mem0_api_key),
+    title="Use Credits for Mem0",
+    expires_at=None,
+)
+
+apollo_credentials = APIKeyCredentials(
+    id="544c62b5-1d0f-4156-8fb4-9525f11656eb",
+    provider="apollo",
+    api_key=SecretStr(settings.secrets.apollo_api_key),
+    title="Use Credits for Apollo",
+    expires_at=None,
+)
+
+smartlead_credentials = APIKeyCredentials(
+    id="3bcdbda3-84a3-46af-8fdb-bfd2472298b8",
+    provider="smartlead",
+    api_key=SecretStr(settings.secrets.smartlead_api_key),
+    title="Use Credits for SmartLead",
+    expires_at=None,
+)
+
+google_maps_credentials = APIKeyCredentials(
+    id="9aa1bde0-4947-4a70-a20c-84daa3850d52",
+    provider="google_maps",
+    api_key=SecretStr(settings.secrets.google_maps_api_key),
+    title="Use Credits for Google Maps",
+    expires_at=None,
+)
 
+zerobounce_credentials = APIKeyCredentials(
+    id="63a6e279-2dc2-448e-bf57-85776f7176dc",
+    provider="zerobounce",
+    api_key=SecretStr(settings.secrets.zerobounce_api_key),
+    title="Use Credits for ZeroBounce",
+    expires_at=None,
+)
+
+enrichlayer_credentials = APIKeyCredentials(
+    id="d9fce73a-6c1d-4e8b-ba2e-12a456789def",
+    provider="enrichlayer",
+    api_key=SecretStr(settings.secrets.enrichlayer_api_key),
+    title="Use Credits for Enrichlayer",
+    expires_at=None,
+)
+
+
+llama_api_credentials = APIKeyCredentials(
+    id="d44045af-1c33-4833-9e19-752313214de2",
+    provider="llama_api",
+    api_key=SecretStr(settings.secrets.llama_api_key),
+    title="Use Credits for Llama API",
+    expires_at=None,
+)
+
+v0_credentials = APIKeyCredentials(
+    id="c4e6d1a0-3b5f-4789-a8e2-9b123456789f",
+    provider="v0",
+    api_key=SecretStr(settings.secrets.v0_api_key),
+    title="Use Credits for v0 by Vercel",
+    expires_at=None,
+)
 
 DEFAULT_CREDENTIALS = [
+    ollama_credentials,
     revid_credentials,
     ideogram_credentials,
     replicate_credentials,
     openai_credentials,
+    aiml_api_credentials,
     anthropic_credentials,
     groq_credentials,
     did_credentials,
     jina_credentials,
     unreal_credentials,
     open_router_credentials,
+    enrichlayer_credentials,
+    fal_credentials,
+    exa_credentials,
+    e2b_credentials,
+    mem0_credentials,
+    nvidia_credentials,
+    screenshotone_credentials,
+    apollo_credentials,
+    smartlead_credentials,
+    zerobounce_credentials,
+    google_maps_credentials,
+    llama_api_credentials,
+    v0_credentials,
 ]
 
 
 class IntegrationCredentialsStore:
     def __init__(self):
-        from backend.data.redis import get_redis
+        self._locks = None
 
-        self.locks = RedisKeyedMutex(get_redis())
+    async def locks(self) -> AsyncRedisKeyedMutex:
+        if self._locks:
+            return self._locks
+
+        self._locks = AsyncRedisKeyedMutex(await get_redis_async())
+        return self._locks
 
     @property
-    @thread_cached
-    def db_manager(self) -> "DatabaseManager":
-        from backend.executor.database import DatabaseManager
-        from backend.util.service import get_service_client
+    def db_manager(self):
+        if prisma.is_connected():
+            from backend.data import user
+
+            return user
+        else:
+            from backend.util.clients import get_database_manager_async_client
 
-        return get_service_client(DatabaseManager)
+            return get_database_manager_async_client()
 
-    def add_creds(self, user_id: str, credentials: Credentials) -> None:
-        with self.locked_user_integrations(user_id):
-            if self.get_creds_by_id(user_id, credentials.id):
+    # =============== USER-MANAGED CREDENTIALS =============== #
+    async def add_creds(self, user_id: str, credentials: Credentials) -> None:
+        async with await self.locked_user_integrations(user_id):
+            if await self.get_creds_by_id(user_id, credentials.id):
                 raise ValueError(
                     f"Can not re-create existing credentials #{credentials.id} "
                     f"for user #{user_id}"
                 )
-            self._set_user_integration_creds(
-                user_id, [*self.get_all_creds(user_id), credentials]
+            await self._set_user_integration_creds(
+                user_id, [*(await self.get_all_creds(user_id)), credentials]
             )
 
-    def get_all_creds(self, user_id: str) -> list[Credentials]:
-        users_credentials = self._get_user_integrations(user_id).credentials
+    async def get_all_creds(self, user_id: str) -> list[Credentials]:
+        users_credentials = (await self._get_user_integrations(user_id)).credentials
         all_credentials = users_credentials
+        # These will always be added
+        all_credentials.append(ollama_credentials)
+
+        # These will only be added if the API key is set
         if settings.secrets.revid_api_key:
             all_credentials.append(revid_credentials)
         if settings.secrets.ideogram_api_key:
@@ -145,6 +287,8 @@ def get_all_creds(self, user_id: str) -> list[Credentials]:
             all_credentials.append(replicate_credentials)
         if settings.secrets.openai_api_key:
             all_credentials.append(openai_credentials)
+        if settings.secrets.aiml_api_key:
+            all_credentials.append(aiml_api_credentials)
         if settings.secrets.anthropic_api_key:
             all_credentials.append(anthropic_credentials)
         if settings.secrets.did_api_key:
@@ -155,23 +299,49 @@ def get_all_creds(self, user_id: str) -> list[Credentials]:
             all_credentials.append(unreal_credentials)
         if settings.secrets.open_router_api_key:
             all_credentials.append(open_router_credentials)
+        if settings.secrets.enrichlayer_api_key:
+            all_credentials.append(enrichlayer_credentials)
+        if settings.secrets.fal_api_key:
+            all_credentials.append(fal_credentials)
+        if settings.secrets.exa_api_key:
+            all_credentials.append(exa_credentials)
+        if settings.secrets.e2b_api_key:
+            all_credentials.append(e2b_credentials)
+        if settings.secrets.nvidia_api_key:
+            all_credentials.append(nvidia_credentials)
+        if settings.secrets.screenshotone_api_key:
+            all_credentials.append(screenshotone_credentials)
+        if settings.secrets.mem0_api_key:
+            all_credentials.append(mem0_credentials)
+        if settings.secrets.apollo_api_key:
+            all_credentials.append(apollo_credentials)
+        if settings.secrets.smartlead_api_key:
+            all_credentials.append(smartlead_credentials)
+        if settings.secrets.zerobounce_api_key:
+            all_credentials.append(zerobounce_credentials)
+        if settings.secrets.google_maps_api_key:
+            all_credentials.append(google_maps_credentials)
         return all_credentials
 
-    def get_creds_by_id(self, user_id: str, credentials_id: str) -> Credentials | None:
-        all_credentials = self.get_all_creds(user_id)
+    async def get_creds_by_id(
+        self, user_id: str, credentials_id: str
+    ) -> Credentials | None:
+        all_credentials = await self.get_all_creds(user_id)
         return next((c for c in all_credentials if c.id == credentials_id), None)
 
-    def get_creds_by_provider(self, user_id: str, provider: str) -> list[Credentials]:
-        credentials = self.get_all_creds(user_id)
+    async def get_creds_by_provider(
+        self, user_id: str, provider: str
+    ) -> list[Credentials]:
+        credentials = await self.get_all_creds(user_id)
         return [c for c in credentials if c.provider == provider]
 
-    def get_authorized_providers(self, user_id: str) -> list[str]:
-        credentials = self.get_all_creds(user_id)
+    async def get_authorized_providers(self, user_id: str) -> list[str]:
+        credentials = await self.get_all_creds(user_id)
         return list(set(c.provider for c in credentials))
 
-    def update_creds(self, user_id: str, updated: Credentials) -> None:
-        with self.locked_user_integrations(user_id):
-            current = self.get_creds_by_id(user_id, updated.id)
+    async def update_creds(self, user_id: str, updated: Credentials) -> None:
+        async with await self.locked_user_integrations(user_id):
+            current = await self.get_creds_by_id(user_id, updated.id)
             if not current:
                 raise ValueError(
                     f"Credentials with ID {updated.id} "
@@ -199,73 +369,82 @@ def update_creds(self, user_id: str, updated: Credentials) -> None:
             # Update the credentials
             updated_credentials_list = [
                 updated if c.id == updated.id else c
-                for c in self.get_all_creds(user_id)
+                for c in await self.get_all_creds(user_id)
             ]
-            self._set_user_integration_creds(user_id, updated_credentials_list)
+            await self._set_user_integration_creds(user_id, updated_credentials_list)
 
-    def delete_creds_by_id(self, user_id: str, credentials_id: str) -> None:
-        with self.locked_user_integrations(user_id):
+    async def delete_creds_by_id(self, user_id: str, credentials_id: str) -> None:
+        async with await self.locked_user_integrations(user_id):
             filtered_credentials = [
-                c for c in self.get_all_creds(user_id) if c.id != credentials_id
+                c for c in await self.get_all_creds(user_id) if c.id != credentials_id
             ]
-            self._set_user_integration_creds(user_id, filtered_credentials)
+            await self._set_user_integration_creds(user_id, filtered_credentials)
+
+    # ============== SYSTEM-MANAGED CREDENTIALS ============== #
+
+    async def set_ayrshare_profile_key(self, user_id: str, profile_key: str) -> None:
+        """Set the Ayrshare profile key for a user.
+
+        The profile key is used to authenticate API requests to Ayrshare's social media posting service.
+        See https://www.ayrshare.com/docs/apis/profiles/overview for more details.
+
+        Args:
+            user_id: The ID of the user to set the profile key for
+            profile_key: The profile key to set
+        """
+        _profile_key = SecretStr(profile_key)
+        async with self.edit_user_integrations(user_id) as user_integrations:
+            user_integrations.managed_credentials.ayrshare_profile_key = _profile_key
 
-    def store_state_token(self, user_id: str, provider: str, scopes: list[str]) -> str:
+    # ===================== OAUTH STATES ===================== #
+
+    async def store_state_token(
+        self, user_id: str, provider: str, scopes: list[str], use_pkce: bool = False
+    ) -> tuple[str, str]:
         token = secrets.token_urlsafe(32)
         expires_at = datetime.now(timezone.utc) + timedelta(minutes=10)
 
+        (code_challenge, code_verifier) = self._generate_code_challenge()
+
         state = OAuthState(
             token=token,
             provider=provider,
+            code_verifier=code_verifier,
             expires_at=int(expires_at.timestamp()),
             scopes=scopes,
         )
 
-        with self.locked_user_integrations(user_id):
-            user_integrations = self._get_user_integrations(user_id)
+        async with self.edit_user_integrations(user_id) as user_integrations:
+            user_integrations.oauth_states.append(state)
+
+        async with await self.locked_user_integrations(user_id):
+
+            user_integrations = await self._get_user_integrations(user_id)
             oauth_states = user_integrations.oauth_states
             oauth_states.append(state)
             user_integrations.oauth_states = oauth_states
 
-            self.db_manager.update_user_integrations(
+            await self.db_manager.update_user_integrations(
                 user_id=user_id, data=user_integrations
             )
 
-        return token
+        return token, code_challenge
 
-    def get_any_valid_scopes_from_state_token(
-        self, user_id: str, token: str, provider: str
-    ) -> list[str]:
+    def _generate_code_challenge(self) -> tuple[str, str]:
         """
-        Get the valid scopes from the OAuth state token. This will return any valid scopes
-        from any OAuth state token for the given provider. If no valid scopes are found,
-        an empty list is returned. DO NOT RELY ON THIS TOKEN TO AUTHENTICATE A USER, AS IT
-        IS TO CHECK IF THE USER HAS GIVEN PERMISSIONS TO THE APPLICATION BEFORE EXCHANGING
-        THE CODE FOR TOKENS.
+        Generate code challenge using SHA256 from the code verifier.
+        Currently only SHA256 is supported.(In future if we want to support more methods we can add them here)
         """
-        user_integrations = self._get_user_integrations(user_id)
-        oauth_states = user_integrations.oauth_states
-
-        now = datetime.now(timezone.utc)
-        valid_state = next(
-            (
-                state
-                for state in oauth_states
-                if state.token == token
-                and state.provider == provider
-                and state.expires_at > now.timestamp()
-            ),
-            None,
-        )
-
-        if valid_state:
-            return valid_state.scopes
-
-        return []
+        code_verifier = secrets.token_urlsafe(96)
+        sha256_hash = hashlib.sha256(code_verifier.encode("utf-8")).digest()
+        code_challenge = base64.urlsafe_b64encode(sha256_hash).decode("utf-8")
+        return code_challenge.replace("=", ""), code_verifier
 
-    def verify_state_token(self, user_id: str, token: str, provider: str) -> bool:
-        with self.locked_user_integrations(user_id):
-            user_integrations = self._get_user_integrations(user_id)
+    async def verify_state_token(
+        self, user_id: str, token: str, provider: str
+    ) -> Optional[OAuthState]:
+        async with await self.locked_user_integrations(user_id):
+            user_integrations = await self._get_user_integrations(user_id)
             oauth_states = user_integrations.oauth_states
 
             now = datetime.now(timezone.utc)
@@ -273,7 +452,7 @@ def verify_state_token(self, user_id: str, token: str, provider: str) -> bool:
                 (
                     state
                     for state in oauth_states
-                    if state.token == token
+                    if secrets.compare_digest(state.token, token)
                     and state.provider == provider
                     and state.expires_at > now.timestamp()
                 ),
@@ -284,26 +463,37 @@ def verify_state_token(self, user_id: str, token: str, provider: str) -> bool:
                 # Remove the used state
                 oauth_states.remove(valid_state)
                 user_integrations.oauth_states = oauth_states
-                self.db_manager.update_user_integrations(user_id, user_integrations)
-                return True
+                await self.db_manager.update_user_integrations(
+                    user_id, user_integrations
+                )
+                return valid_state
 
-        return False
+        return None
 
-    def _set_user_integration_creds(
+    # =================== GET/SET HELPERS =================== #
+
+    @asynccontextmanager
+    async def edit_user_integrations(self, user_id: str):
+        async with await self.locked_user_integrations(user_id):
+            user_integrations = await self._get_user_integrations(user_id)
+            yield user_integrations  # yield to allow edits
+            await self.db_manager.update_user_integrations(
+                user_id=user_id, data=user_integrations
+            )
+
+    async def _set_user_integration_creds(
         self, user_id: str, credentials: list[Credentials]
     ) -> None:
-        integrations = self._get_user_integrations(user_id)
+        integrations = await self._get_user_integrations(user_id)
         # Remove default credentials from the list
         credentials = [c for c in credentials if c not in DEFAULT_CREDENTIALS]
         integrations.credentials = credentials
-        self.db_manager.update_user_integrations(user_id, integrations)
+        await self.db_manager.update_user_integrations(user_id, integrations)
 
-    def _get_user_integrations(self, user_id: str) -> UserIntegrations:
-        integrations: UserIntegrations = self.db_manager.get_user_integrations(
-            user_id=user_id
-        )
-        return integrations
+    async def _get_user_integrations(self, user_id: str) -> UserIntegrations:
+        return await self.db_manager.get_user_integrations(user_id=user_id)
 
-    def locked_user_integrations(self, user_id: str):
+    async def locked_user_integrations(self, user_id: str):
         key = (f"user:{user_id}", "integrations")
-        return self.locks.locked(key)
+        locks = await self.locks()
+        return locks.locked(key)
diff --git a/autogpt_platform/backend/backend/integrations/creds_manager.py b/autogpt_platform/backend/backend/integrations/creds_manager.py
index 17633bd58721..e5ae0cdb72e9 100644
--- a/autogpt_platform/backend/backend/integrations/creds_manager.py
+++ b/autogpt_platform/backend/backend/integrations/creds_manager.py
@@ -1,15 +1,17 @@
 import logging
-from contextlib import contextmanager
+import os
+from contextlib import asynccontextmanager
 from datetime import datetime
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any, Callable, Coroutine
 
-from autogpt_libs.utils.synchronize import RedisKeyedMutex
-from redis.lock import Lock as RedisLock
+from autogpt_libs.utils.synchronize import AsyncRedisKeyedMutex
+from redis.asyncio.lock import Lock as AsyncRedisLock
 
-from backend.data import redis
-from backend.data.model import Credentials
+from backend.data.model import Credentials, OAuth2Credentials
+from backend.data.redis_client import get_redis_async
 from backend.integrations.credentials_store import IntegrationCredentialsStore
-from backend.integrations.oauth import HANDLERS_BY_NAME
+from backend.integrations.oauth import CREDENTIALS_BY_PROVIDER, HANDLERS_BY_NAME
+from backend.integrations.providers import ProviderName
 from backend.util.exceptions import MissingConfigError
 from backend.util.settings import Settings
 
@@ -53,20 +55,26 @@ class IntegrationCredentialsManager:
     """
 
     def __init__(self):
-        redis_conn = redis.get_redis()
-        self._locks = RedisKeyedMutex(redis_conn)
         self.store = IntegrationCredentialsStore()
+        self._locks = None
 
-    def create(self, user_id: str, credentials: Credentials) -> None:
-        return self.store.add_creds(user_id, credentials)
+    async def locks(self) -> AsyncRedisKeyedMutex:
+        if self._locks:
+            return self._locks
 
-    def exists(self, user_id: str, credentials_id: str) -> bool:
-        return self.store.get_creds_by_id(user_id, credentials_id) is not None
+        self._locks = AsyncRedisKeyedMutex(await get_redis_async())
+        return self._locks
 
-    def get(
+    async def create(self, user_id: str, credentials: Credentials) -> None:
+        return await self.store.add_creds(user_id, credentials)
+
+    async def exists(self, user_id: str, credentials_id: str) -> bool:
+        return (await self.store.get_creds_by_id(user_id, credentials_id)) is not None
+
+    async def get(
         self, user_id: str, credentials_id: str, lock: bool = True
     ) -> Credentials | None:
-        credentials = self.store.get_creds_by_id(user_id, credentials_id)
+        credentials = await self.store.get_creds_by_id(user_id, credentials_id)
         if not credentials:
             return None
 
@@ -77,33 +85,15 @@ def get(
                 f"{datetime.fromtimestamp(credentials.access_token_expires_at)}; "
                 f"current time is {datetime.now()}"
             )
-
-            with self._locked(user_id, credentials_id, "refresh"):
-                oauth_handler = _get_provider_oauth_handler(credentials.provider)
-                if oauth_handler.needs_refresh(credentials):
-                    logger.debug(
-                        f"Refreshing '{credentials.provider}' "
-                        f"credentials #{credentials.id}"
-                    )
-                    _lock = None
-                    if lock:
-                        # Wait until the credentials are no longer in use anywhere
-                        _lock = self._acquire_lock(user_id, credentials_id)
-
-                    fresh_credentials = oauth_handler.refresh_tokens(credentials)
-                    self.store.update_creds(user_id, fresh_credentials)
-                    if _lock:
-                        _lock.release()
-
-                    credentials = fresh_credentials
+            credentials = await self.refresh_if_needed(user_id, credentials, lock)
         else:
             logger.debug(f"Credentials #{credentials.id} never expire")
 
         return credentials
 
-    def acquire(
+    async def acquire(
         self, user_id: str, credentials_id: str
-    ) -> tuple[Credentials, RedisLock]:
+    ) -> tuple[Credentials, AsyncRedisLock]:
         """
         ⚠️ WARNING: this locks credentials system-wide and blocks both acquiring
         and updating them elsewhere until the lock is released.
@@ -111,53 +101,121 @@ def acquire(
         """
         # Use a low-priority (!time_sensitive) locking queue on top of the general lock
         # to allow priority access for refreshing/updating the tokens.
-        with self._locked(user_id, credentials_id, "!time_sensitive"):
-            lock = self._acquire_lock(user_id, credentials_id)
-        credentials = self.get(user_id, credentials_id, lock=False)
+        async with self._locked(user_id, credentials_id, "!time_sensitive"):
+            lock = await self._acquire_lock(user_id, credentials_id)
+        credentials = await self.get(user_id, credentials_id, lock=False)
         if not credentials:
             raise ValueError(
                 f"Credentials #{credentials_id} for user #{user_id} not found"
             )
         return credentials, lock
 
-    def update(self, user_id: str, updated: Credentials) -> None:
-        with self._locked(user_id, updated.id):
-            self.store.update_creds(user_id, updated)
+    def cached_getter(
+        self, user_id: str
+    ) -> Callable[[str], "Coroutine[Any, Any, Credentials | None]"]:
+        all_credentials = None
+
+        async def get_credentials(creds_id: str) -> "Credentials | None":
+            nonlocal all_credentials
+            if not all_credentials:
+                # Fetch credentials on first necessity
+                all_credentials = await self.store.get_all_creds(user_id)
+
+            credential = next((c for c in all_credentials if c.id == creds_id), None)
+            if not credential:
+                return None
+            if credential.type != "oauth2" or not credential.access_token_expires_at:
+                # Credential doesn't expire
+                return credential
+
+            # Credential is OAuth2 credential and has expiration timestamp
+            return await self.refresh_if_needed(user_id, credential)
+
+        return get_credentials
+
+    async def refresh_if_needed(
+        self, user_id: str, credentials: OAuth2Credentials, lock: bool = True
+    ) -> OAuth2Credentials:
+        async with self._locked(user_id, credentials.id, "refresh"):
+            oauth_handler = await _get_provider_oauth_handler(credentials.provider)
+            if oauth_handler.needs_refresh(credentials):
+                logger.debug(
+                    f"Refreshing '{credentials.provider}' "
+                    f"credentials #{credentials.id}"
+                )
+                _lock = None
+                if lock:
+                    # Wait until the credentials are no longer in use anywhere
+                    _lock = await self._acquire_lock(user_id, credentials.id)
+
+                fresh_credentials = await oauth_handler.refresh_tokens(credentials)
+                await self.store.update_creds(user_id, fresh_credentials)
+                if _lock and (await _lock.locked()) and (await _lock.owned()):
+                    await _lock.release()
+
+                credentials = fresh_credentials
+        return credentials
+
+    async def update(self, user_id: str, updated: Credentials) -> None:
+        async with self._locked(user_id, updated.id):
+            await self.store.update_creds(user_id, updated)
 
-    def delete(self, user_id: str, credentials_id: str) -> None:
-        with self._locked(user_id, credentials_id):
-            self.store.delete_creds_by_id(user_id, credentials_id)
+    async def delete(self, user_id: str, credentials_id: str) -> None:
+        async with self._locked(user_id, credentials_id):
+            await self.store.delete_creds_by_id(user_id, credentials_id)
 
     # -- Locking utilities -- #
 
-    def _acquire_lock(self, user_id: str, credentials_id: str, *args: str) -> RedisLock:
+    async def _acquire_lock(
+        self, user_id: str, credentials_id: str, *args: str
+    ) -> AsyncRedisLock:
         key = (
             f"user:{user_id}",
             f"credentials:{credentials_id}",
             *args,
         )
-        return self._locks.acquire(key)
+        locks = await self.locks()
+        return await locks.acquire(key)
 
-    @contextmanager
-    def _locked(self, user_id: str, credentials_id: str, *args: str):
-        lock = self._acquire_lock(user_id, credentials_id, *args)
+    @asynccontextmanager
+    async def _locked(self, user_id: str, credentials_id: str, *args: str):
+        lock = await self._acquire_lock(user_id, credentials_id, *args)
         try:
             yield
         finally:
-            lock.release()
+            if (await lock.locked()) and (await lock.owned()):
+                await lock.release()
 
-    def release_all_locks(self):
+    async def release_all_locks(self):
         """Call this on process termination to ensure all locks are released"""
-        self._locks.release_all_locks()
-        self.store.locks.release_all_locks()
+        await (await self.locks()).release_all_locks()
+        await (await self.store.locks()).release_all_locks()
 
 
-def _get_provider_oauth_handler(provider_name: str) -> "BaseOAuthHandler":
+async def _get_provider_oauth_handler(provider_name_str: str) -> "BaseOAuthHandler":
+    provider_name = ProviderName(provider_name_str)
     if provider_name not in HANDLERS_BY_NAME:
         raise KeyError(f"Unknown provider '{provider_name}'")
 
-    client_id = getattr(settings.secrets, f"{provider_name}_client_id")
-    client_secret = getattr(settings.secrets, f"{provider_name}_client_secret")
+    provider_creds = CREDENTIALS_BY_PROVIDER[provider_name]
+    if not provider_creds.use_secrets:
+        # This is safe to do as we check that the env vars exist in the registry
+        client_id = (
+            os.getenv(provider_creds.client_id_env_var)
+            if provider_creds.client_id_env_var
+            else None
+        )
+        client_secret = (
+            os.getenv(provider_creds.client_secret_env_var)
+            if provider_creds.client_secret_env_var
+            else None
+        )
+    else:
+        client_id = getattr(settings.secrets, f"{provider_name.value}_client_id")
+        client_secret = getattr(
+            settings.secrets, f"{provider_name.value}_client_secret"
+        )
+
     if not (client_id and client_secret):
         raise MissingConfigError(
             f"Integration with provider '{provider_name}' is not configured",
diff --git a/autogpt_platform/backend/backend/integrations/oauth/__init__.py b/autogpt_platform/backend/backend/integrations/oauth/__init__.py
index f5888f07a83e..137b9eadfdd0 100644
--- a/autogpt_platform/backend/backend/integrations/oauth/__init__.py
+++ b/autogpt_platform/backend/backend/integrations/oauth/__init__.py
@@ -1,22 +1,228 @@
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Optional
 
+from pydantic import BaseModel
+
+from backend.integrations.oauth.todoist import TodoistOAuthHandler
+
+from .discord import DiscordOAuthHandler
 from .github import GitHubOAuthHandler
 from .google import GoogleOAuthHandler
 from .notion import NotionOAuthHandler
+from .twitter import TwitterOAuthHandler
 
 if TYPE_CHECKING:
-    from ..providers import ProviderName
     from .base import BaseOAuthHandler
 
 # --8<-- [start:HANDLERS_BY_NAMEExample]
-HANDLERS_BY_NAME: dict["ProviderName", type["BaseOAuthHandler"]] = {
-    handler.PROVIDER_NAME: handler
-    for handler in [
-        GitHubOAuthHandler,
-        GoogleOAuthHandler,
-        NotionOAuthHandler,
-    ]
+# Build handlers dict with string keys for compatibility with SDK auto-registration
+_ORIGINAL_HANDLERS = [
+    DiscordOAuthHandler,
+    GitHubOAuthHandler,
+    GoogleOAuthHandler,
+    NotionOAuthHandler,
+    TwitterOAuthHandler,
+    TodoistOAuthHandler,
+]
+
+# Start with original handlers
+_handlers_dict = {
+    (
+        handler.PROVIDER_NAME.value
+        if hasattr(handler.PROVIDER_NAME, "value")
+        else str(handler.PROVIDER_NAME)
+    ): handler
+    for handler in _ORIGINAL_HANDLERS
 }
+
+
+class SDKAwareCredentials(BaseModel):
+    """OAuth credentials configuration."""
+
+    use_secrets: bool = True
+    client_id_env_var: Optional[str] = None
+    client_secret_env_var: Optional[str] = None
+
+
+_credentials_by_provider = {}
+# Add default credentials for original handlers
+for handler in _ORIGINAL_HANDLERS:
+    provider_name = (
+        handler.PROVIDER_NAME.value
+        if hasattr(handler.PROVIDER_NAME, "value")
+        else str(handler.PROVIDER_NAME)
+    )
+    _credentials_by_provider[provider_name] = SDKAwareCredentials(
+        use_secrets=True, client_id_env_var=None, client_secret_env_var=None
+    )
+
+
+# Create a custom dict class that includes SDK handlers
+class SDKAwareHandlersDict(dict):
+    """Dictionary that automatically includes SDK-registered OAuth handlers."""
+
+    def __getitem__(self, key):
+        # First try the original handlers
+        if key in _handlers_dict:
+            return _handlers_dict[key]
+
+        # Then try SDK handlers
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_handlers = AutoRegistry.get_oauth_handlers()
+            if key in sdk_handlers:
+                return sdk_handlers[key]
+        except ImportError:
+            pass
+
+        # If not found, raise KeyError
+        raise KeyError(key)
+
+    def get(self, key, default=None):
+        try:
+            return self[key]
+        except KeyError:
+            return default
+
+    def __contains__(self, key):
+        if key in _handlers_dict:
+            return True
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_handlers = AutoRegistry.get_oauth_handlers()
+            return key in sdk_handlers
+        except ImportError:
+            return False
+
+    def keys(self):
+        # Combine all keys into a single dict and return its keys view
+        combined = dict(_handlers_dict)
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_handlers = AutoRegistry.get_oauth_handlers()
+            combined.update(sdk_handlers)
+        except ImportError:
+            pass
+        return combined.keys()
+
+    def values(self):
+        combined = dict(_handlers_dict)
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_handlers = AutoRegistry.get_oauth_handlers()
+            combined.update(sdk_handlers)
+        except ImportError:
+            pass
+        return combined.values()
+
+    def items(self):
+        combined = dict(_handlers_dict)
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_handlers = AutoRegistry.get_oauth_handlers()
+            combined.update(sdk_handlers)
+        except ImportError:
+            pass
+        return combined.items()
+
+
+class SDKAwareCredentialsDict(dict):
+    """Dictionary that automatically includes SDK-registered OAuth credentials."""
+
+    def __getitem__(self, key):
+        # First try the original handlers
+        if key in _credentials_by_provider:
+            return _credentials_by_provider[key]
+
+        # Then try SDK credentials
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_credentials = AutoRegistry.get_oauth_credentials()
+            if key in sdk_credentials:
+                # Convert from SDKOAuthCredentials to SDKAwareCredentials
+                sdk_cred = sdk_credentials[key]
+                return SDKAwareCredentials(
+                    use_secrets=sdk_cred.use_secrets,
+                    client_id_env_var=sdk_cred.client_id_env_var,
+                    client_secret_env_var=sdk_cred.client_secret_env_var,
+                )
+        except ImportError:
+            pass
+
+        # If not found, raise KeyError
+        raise KeyError(key)
+
+    def get(self, key, default=None):
+        try:
+            return self[key]
+        except KeyError:
+            return default
+
+    def __contains__(self, key):
+        if key in _credentials_by_provider:
+            return True
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_credentials = AutoRegistry.get_oauth_credentials()
+            return key in sdk_credentials
+        except ImportError:
+            return False
+
+    def keys(self):
+        # Combine all keys into a single dict and return its keys view
+        combined = dict(_credentials_by_provider)
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_credentials = AutoRegistry.get_oauth_credentials()
+            combined.update(sdk_credentials)
+        except ImportError:
+            pass
+        return combined.keys()
+
+    def values(self):
+        combined = dict(_credentials_by_provider)
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_credentials = AutoRegistry.get_oauth_credentials()
+            # Convert SDK credentials to SDKAwareCredentials
+            for key, sdk_cred in sdk_credentials.items():
+                combined[key] = SDKAwareCredentials(
+                    use_secrets=sdk_cred.use_secrets,
+                    client_id_env_var=sdk_cred.client_id_env_var,
+                    client_secret_env_var=sdk_cred.client_secret_env_var,
+                )
+        except ImportError:
+            pass
+        return combined.values()
+
+    def items(self):
+        combined = dict(_credentials_by_provider)
+        try:
+            from backend.sdk import AutoRegistry
+
+            sdk_credentials = AutoRegistry.get_oauth_credentials()
+            # Convert SDK credentials to SDKAwareCredentials
+            for key, sdk_cred in sdk_credentials.items():
+                combined[key] = SDKAwareCredentials(
+                    use_secrets=sdk_cred.use_secrets,
+                    client_id_env_var=sdk_cred.client_id_env_var,
+                    client_secret_env_var=sdk_cred.client_secret_env_var,
+                )
+        except ImportError:
+            pass
+        return combined.items()
+
+
+HANDLERS_BY_NAME: dict[str, type["BaseOAuthHandler"]] = SDKAwareHandlersDict()
+CREDENTIALS_BY_PROVIDER: dict[str, SDKAwareCredentials] = SDKAwareCredentialsDict()
 # --8<-- [end:HANDLERS_BY_NAMEExample]
 
 __all__ = ["HANDLERS_BY_NAME"]
diff --git a/autogpt_platform/backend/backend/integrations/oauth/base.py b/autogpt_platform/backend/backend/integrations/oauth/base.py
index 54786ba1aa4c..f8e1babe2609 100644
--- a/autogpt_platform/backend/backend/integrations/oauth/base.py
+++ b/autogpt_platform/backend/backend/integrations/oauth/base.py
@@ -1,7 +1,7 @@
 import logging
 import time
 from abc import ABC, abstractmethod
-from typing import ClassVar
+from typing import ClassVar, Optional
 
 from backend.data.model import OAuth2Credentials
 from backend.integrations.providers import ProviderName
@@ -11,7 +11,7 @@
 
 class BaseOAuthHandler(ABC):
     # --8<-- [start:BaseOAuthHandler1]
-    PROVIDER_NAME: ClassVar[ProviderName]
+    PROVIDER_NAME: ClassVar[ProviderName | str]
     DEFAULT_SCOPES: ClassVar[list[str]] = []
     # --8<-- [end:BaseOAuthHandler1]
 
@@ -23,15 +23,17 @@ def __init__(self, client_id: str, client_secret: str, redirect_uri: str): ...
 
     @abstractmethod
     # --8<-- [start:BaseOAuthHandler3]
-    def get_login_url(self, scopes: list[str], state: str) -> str:
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
         # --8<-- [end:BaseOAuthHandler3]
         """Constructs a login URL that the user can be redirected to"""
         ...
 
     @abstractmethod
     # --8<-- [start:BaseOAuthHandler4]
-    def exchange_code_for_tokens(
-        self, code: str, scopes: list[str]
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
     ) -> OAuth2Credentials:
         # --8<-- [end:BaseOAuthHandler4]
         """Exchanges the acquired authorization code from login for a set of tokens"""
@@ -39,31 +41,33 @@ def exchange_code_for_tokens(
 
     @abstractmethod
     # --8<-- [start:BaseOAuthHandler5]
-    def _refresh_tokens(self, credentials: OAuth2Credentials) -> OAuth2Credentials:
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
         # --8<-- [end:BaseOAuthHandler5]
         """Implements the token refresh mechanism"""
         ...
 
     @abstractmethod
     # --8<-- [start:BaseOAuthHandler6]
-    def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
         # --8<-- [end:BaseOAuthHandler6]
         """Revokes the given token at provider,
         returns False provider does not support it"""
         ...
 
-    def refresh_tokens(self, credentials: OAuth2Credentials) -> OAuth2Credentials:
+    async def refresh_tokens(self, credentials: OAuth2Credentials) -> OAuth2Credentials:
         if credentials.provider != self.PROVIDER_NAME:
             raise ValueError(
                 f"{self.__class__.__name__} can not refresh tokens "
                 f"for other provider '{credentials.provider}'"
             )
-        return self._refresh_tokens(credentials)
+        return await self._refresh_tokens(credentials)
 
-    def get_access_token(self, credentials: OAuth2Credentials) -> str:
+    async def get_access_token(self, credentials: OAuth2Credentials) -> str:
         """Returns a valid access token, refreshing it first if needed"""
         if self.needs_refresh(credentials):
-            credentials = self.refresh_tokens(credentials)
+            credentials = await self.refresh_tokens(credentials)
         return credentials.access_token.get_secret_value()
 
     def needs_refresh(self, credentials: OAuth2Credentials) -> bool:
@@ -77,8 +81,6 @@ def handle_default_scopes(self, scopes: list[str]) -> list[str]:
         """Handles the default scopes for the provider"""
         # If scopes are empty, use the default scopes for the provider
         if not scopes:
-            logger.debug(
-                f"Using default scopes for provider {self.PROVIDER_NAME.value}"
-            )
+            logger.debug(f"Using default scopes for provider {str(self.PROVIDER_NAME)}")
             scopes = self.DEFAULT_SCOPES
         return scopes
diff --git a/autogpt_platform/backend/backend/integrations/oauth/discord.py b/autogpt_platform/backend/backend/integrations/oauth/discord.py
new file mode 100644
index 000000000000..1d70abc3720f
--- /dev/null
+++ b/autogpt_platform/backend/backend/integrations/oauth/discord.py
@@ -0,0 +1,175 @@
+import time
+from typing import Optional
+from urllib.parse import urlencode
+
+from backend.data.model import OAuth2Credentials
+from backend.integrations.providers import ProviderName
+from backend.util.request import Requests
+
+from .base import BaseOAuthHandler
+
+
+class DiscordOAuthHandler(BaseOAuthHandler):
+    """
+    Discord OAuth2 handler implementation.
+
+    Based on the documentation at:
+    - https://discord.com/developers/docs/topics/oauth2
+
+    Discord OAuth2 tokens expire after 7 days by default and include refresh tokens.
+    """
+
+    PROVIDER_NAME = ProviderName.DISCORD
+    DEFAULT_SCOPES = ["identify"]  # Basic user information
+
+    def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+        self.auth_base_url = "https://discord.com/oauth2/authorize"
+        self.token_url = "https://discord.com/api/oauth2/token"
+        self.revoke_url = "https://discord.com/api/oauth2/token/revoke"
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
+        # Handle default scopes
+        scopes = self.handle_default_scopes(scopes)
+
+        params = {
+            "client_id": self.client_id,
+            "redirect_uri": self.redirect_uri,
+            "response_type": "code",
+            "scope": " ".join(scopes),
+            "state": state,
+        }
+
+        # Discord supports PKCE
+        if code_challenge:
+            params["code_challenge"] = code_challenge
+            params["code_challenge_method"] = "S256"
+
+        return f"{self.auth_base_url}?{urlencode(params)}"
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
+    ) -> OAuth2Credentials:
+        params = {
+            "code": code,
+            "redirect_uri": self.redirect_uri,
+            "grant_type": "authorization_code",
+        }
+
+        # Include PKCE verifier if provided
+        if code_verifier:
+            params["code_verifier"] = code_verifier
+
+        return await self._request_tokens(params)
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        if not credentials.access_token:
+            raise ValueError("No access token to revoke")
+
+        # Discord requires client authentication for token revocation
+        data = {
+            "token": credentials.access_token.get_secret_value(),
+            "token_type_hint": "access_token",
+        }
+
+        headers = {
+            "Content-Type": "application/x-www-form-urlencoded",
+        }
+
+        response = await Requests().post(
+            url=self.revoke_url,
+            data=data,
+            headers=headers,
+            auth=(self.client_id, self.client_secret),
+        )
+
+        # Discord returns 200 OK for successful revocation
+        return response.status == 200
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        if not credentials.refresh_token:
+            return credentials
+
+        return await self._request_tokens(
+            {
+                "refresh_token": credentials.refresh_token.get_secret_value(),
+                "grant_type": "refresh_token",
+            },
+            current_credentials=credentials,
+        )
+
+    async def _request_tokens(
+        self,
+        params: dict[str, str],
+        current_credentials: Optional[OAuth2Credentials] = None,
+    ) -> OAuth2Credentials:
+        request_body = {
+            "client_id": self.client_id,
+            "client_secret": self.client_secret,
+            **params,
+        }
+
+        headers = {
+            "Content-Type": "application/x-www-form-urlencoded",
+        }
+
+        response = await Requests().post(
+            self.token_url, data=request_body, headers=headers
+        )
+        token_data: dict = response.json()
+
+        # Get username if this is a new token request
+        username = None
+        if "access_token" in token_data:
+            username = await self._request_username(token_data["access_token"])
+
+        now = int(time.time())
+        new_credentials = OAuth2Credentials(
+            provider=self.PROVIDER_NAME,
+            title=current_credentials.title if current_credentials else None,
+            username=username,
+            access_token=token_data["access_token"],
+            scopes=token_data.get("scope", "").split()
+            or (current_credentials.scopes if current_credentials else []),
+            refresh_token=token_data.get("refresh_token"),
+            # Discord tokens expire after expires_in seconds (typically 7 days)
+            access_token_expires_at=(
+                now + expires_in
+                if (expires_in := token_data.get("expires_in", None))
+                else None
+            ),
+            # Discord doesn't provide separate refresh token expiration
+            refresh_token_expires_at=None,
+        )
+
+        if current_credentials:
+            new_credentials.id = current_credentials.id
+
+        return new_credentials
+
+    async def _request_username(self, access_token: str) -> str | None:
+        """
+        Fetch the username using the Discord OAuth2 @me endpoint.
+        """
+        url = "https://discord.com/api/oauth2/@me"
+        headers = {
+            "Authorization": f"Bearer {access_token}",
+        }
+
+        response = await Requests().get(url, headers=headers)
+
+        if not response.ok:
+            return None
+
+        # Get user info from the response
+        data = response.json()
+        user_info = data.get("user", {})
+
+        # Return username (without discriminator)
+        return user_info.get("username")
diff --git a/autogpt_platform/backend/backend/integrations/oauth/github.py b/autogpt_platform/backend/backend/integrations/oauth/github.py
index d83c9b2093a0..ebec1166607c 100644
--- a/autogpt_platform/backend/backend/integrations/oauth/github.py
+++ b/autogpt_platform/backend/backend/integrations/oauth/github.py
@@ -4,7 +4,7 @@
 
 from backend.data.model import OAuth2Credentials
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 from .base import BaseOAuthHandler
 
@@ -34,7 +34,9 @@ def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
         self.token_url = "https://github.com/login/oauth/access_token"
         self.revoke_url = "https://api.github.com/applications/{client_id}/token"
 
-    def get_login_url(self, scopes: list[str], state: str) -> str:
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
         params = {
             "client_id": self.client_id,
             "redirect_uri": self.redirect_uri,
@@ -43,12 +45,14 @@ def get_login_url(self, scopes: list[str], state: str) -> str:
         }
         return f"{self.auth_base_url}?{urlencode(params)}"
 
-    def exchange_code_for_tokens(
-        self, code: str, scopes: list[str]
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
     ) -> OAuth2Credentials:
-        return self._request_tokens({"code": code, "redirect_uri": self.redirect_uri})
+        return await self._request_tokens(
+            {"code": code, "redirect_uri": self.redirect_uri}
+        )
 
-    def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
         if not credentials.access_token:
             raise ValueError("No access token to revoke")
 
@@ -57,7 +61,7 @@ def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
             "X-GitHub-Api-Version": "2022-11-28",
         }
 
-        requests.delete(
+        await Requests().delete(
             url=self.revoke_url.format(client_id=self.client_id),
             auth=(self.client_id, self.client_secret),
             headers=headers,
@@ -65,18 +69,20 @@ def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
         )
         return True
 
-    def _refresh_tokens(self, credentials: OAuth2Credentials) -> OAuth2Credentials:
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
         if not credentials.refresh_token:
             return credentials
 
-        return self._request_tokens(
+        return await self._request_tokens(
             {
                 "refresh_token": credentials.refresh_token.get_secret_value(),
                 "grant_type": "refresh_token",
             }
         )
 
-    def _request_tokens(
+    async def _request_tokens(
         self,
         params: dict[str, str],
         current_credentials: Optional[OAuth2Credentials] = None,
@@ -87,10 +93,12 @@ def _request_tokens(
             **params,
         }
         headers = {"Accept": "application/json"}
-        response = requests.post(self.token_url, data=request_body, headers=headers)
+        response = await Requests().post(
+            self.token_url, data=request_body, headers=headers
+        )
         token_data: dict = response.json()
 
-        username = self._request_username(token_data["access_token"])
+        username = await self._request_username(token_data["access_token"])
 
         now = int(time.time())
         new_credentials = OAuth2Credentials(
@@ -122,7 +130,7 @@ def _request_tokens(
             new_credentials.id = current_credentials.id
         return new_credentials
 
-    def _request_username(self, access_token: str) -> str | None:
+    async def _request_username(self, access_token: str) -> str | None:
         url = "https://api.github.com/user"
         headers = {
             "Accept": "application/vnd.github+json",
@@ -130,13 +138,14 @@ def _request_username(self, access_token: str) -> str | None:
             "X-GitHub-Api-Version": "2022-11-28",
         }
 
-        response = requests.get(url, headers=headers)
+        response = await Requests().get(url, headers=headers)
 
         if not response.ok:
             return None
 
         # Get the login (username)
-        return response.json().get("login")
+        resp = response.json()
+        return resp.get("login")
 
 
 # --8<-- [end:GithubOAuthHandlerExample]
diff --git a/autogpt_platform/backend/backend/integrations/oauth/google.py b/autogpt_platform/backend/backend/integrations/oauth/google.py
index 5a03e615a4c7..bba2bc71c5a4 100644
--- a/autogpt_platform/backend/backend/integrations/oauth/google.py
+++ b/autogpt_platform/backend/backend/integrations/oauth/google.py
@@ -1,4 +1,5 @@
 import logging
+from typing import Optional
 
 from google.auth.external_account_authorized_user import (
     Credentials as ExternalAccountCredentials,
@@ -38,7 +39,9 @@ def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
         self.token_uri = "https://oauth2.googleapis.com/token"
         self.revoke_uri = "https://oauth2.googleapis.com/revoke"
 
-    def get_login_url(self, scopes: list[str], state: str) -> str:
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
         all_scopes = list(set(scopes + self.DEFAULT_SCOPES))
         logger.debug(f"Setting up OAuth flow with scopes: {all_scopes}")
         flow = self._setup_oauth_flow(all_scopes)
@@ -51,8 +54,8 @@ def get_login_url(self, scopes: list[str], state: str) -> str:
         )
         return authorization_url
 
-    def exchange_code_for_tokens(
-        self, code: str, scopes: list[str]
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
     ) -> OAuth2Credentials:
         logger.debug(f"Exchanging code for tokens with scopes: {scopes}")
 
@@ -73,7 +76,7 @@ def exchange_code_for_tokens(
         logger.debug(f"Scopes granted by Google: {granted_scopes}")
 
         google_creds = flow.credentials
-        logger.debug(f"Received credentials: {google_creds}")
+        logger.debug("Received credentials")
 
         logger.debug("Requesting user email")
         username = self._request_email(google_creds)
@@ -103,7 +106,7 @@ def exchange_code_for_tokens(
 
         return credentials
 
-    def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
         session = AuthorizedSession(credentials)
         session.post(
             self.revoke_uri,
@@ -124,7 +127,9 @@ def _request_email(
             return None
         return response.json()["email"]
 
-    def _refresh_tokens(self, credentials: OAuth2Credentials) -> OAuth2Credentials:
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
         # Google credentials should ALWAYS have a refresh token
         assert credentials.refresh_token
 
diff --git a/autogpt_platform/backend/backend/integrations/oauth/notion.py b/autogpt_platform/backend/backend/integrations/oauth/notion.py
index e71bae29560c..67fc5bcc2539 100644
--- a/autogpt_platform/backend/backend/integrations/oauth/notion.py
+++ b/autogpt_platform/backend/backend/integrations/oauth/notion.py
@@ -1,9 +1,10 @@
 from base64 import b64encode
+from typing import Optional
 from urllib.parse import urlencode
 
 from backend.data.model import OAuth2Credentials
 from backend.integrations.providers import ProviderName
-from backend.util.request import requests
+from backend.util.request import Requests
 
 from .base import BaseOAuthHandler
 
@@ -26,7 +27,9 @@ def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
         self.auth_base_url = "https://api.notion.com/v1/oauth/authorize"
         self.token_url = "https://api.notion.com/v1/oauth/token"
 
-    def get_login_url(self, scopes: list[str], state: str) -> str:
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
         params = {
             "client_id": self.client_id,
             "redirect_uri": self.redirect_uri,
@@ -36,8 +39,8 @@ def get_login_url(self, scopes: list[str], state: str) -> str:
         }
         return f"{self.auth_base_url}?{urlencode(params)}"
 
-    def exchange_code_for_tokens(
-        self, code: str, scopes: list[str]
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
     ) -> OAuth2Credentials:
         request_body = {
             "grant_type": "authorization_code",
@@ -49,7 +52,9 @@ def exchange_code_for_tokens(
             "Authorization": f"Basic {auth_str}",
             "Accept": "application/json",
         }
-        response = requests.post(self.token_url, json=request_body, headers=headers)
+        response = await Requests().post(
+            self.token_url, json=request_body, headers=headers
+        )
         token_data = response.json()
         # Email is only available for non-bot users
         email = (
@@ -77,11 +82,13 @@ def exchange_code_for_tokens(
             },
         )
 
-    def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
         # Notion doesn't support token revocation
         return False
 
-    def _refresh_tokens(self, credentials: OAuth2Credentials) -> OAuth2Credentials:
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
         # Notion doesn't support token refresh
         return credentials
 
diff --git a/autogpt_platform/backend/backend/integrations/oauth/todoist.py b/autogpt_platform/backend/backend/integrations/oauth/todoist.py
new file mode 100644
index 000000000000..66d34f95e8dd
--- /dev/null
+++ b/autogpt_platform/backend/backend/integrations/oauth/todoist.py
@@ -0,0 +1,79 @@
+import urllib.parse
+from typing import ClassVar, Optional
+
+from backend.data.model import OAuth2Credentials, ProviderName
+from backend.integrations.oauth.base import BaseOAuthHandler
+from backend.util.request import Requests
+
+
+class TodoistOAuthHandler(BaseOAuthHandler):
+    PROVIDER_NAME = ProviderName.TODOIST
+    DEFAULT_SCOPES: ClassVar[list[str]] = [
+        "task:add",
+        "data:read",
+        "data:read_write",
+        "data:delete",
+        "project:delete",
+    ]
+
+    AUTHORIZE_URL = "https://todoist.com/oauth/authorize"
+    TOKEN_URL = "https://todoist.com/oauth/access_token"
+
+    def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
+        params = {
+            "client_id": self.client_id,
+            "scope": ",".join(self.DEFAULT_SCOPES),
+            "state": state,
+        }
+
+        return f"{self.AUTHORIZE_URL}?{urllib.parse.urlencode(params)}"
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
+    ) -> OAuth2Credentials:
+        """Exchange authorization code for access tokens"""
+
+        data = {
+            "client_id": self.client_id,
+            "client_secret": self.client_secret,
+            "code": code,
+            "redirect_uri": self.redirect_uri,
+        }
+
+        response = await Requests().post(self.TOKEN_URL, data=data)
+        tokens = response.json()
+
+        response = await Requests().post(
+            "https://api.todoist.com/sync/v9/sync",
+            headers={"Authorization": f"Bearer {tokens['access_token']}"},
+            data={"sync_token": "*", "resource_types": '["user"]'},
+        )
+        user_info = response.json()
+        user_email = user_info["user"].get("email")
+
+        return OAuth2Credentials(
+            provider=self.PROVIDER_NAME,
+            title=None,
+            username=user_email,
+            access_token=tokens["access_token"],
+            refresh_token=None,
+            access_token_expires_at=None,
+            refresh_token_expires_at=None,
+            scopes=scopes,
+        )
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        # Todoist does not support token refresh
+        return credentials
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        return False
diff --git a/autogpt_platform/backend/backend/integrations/oauth/twitter.py b/autogpt_platform/backend/backend/integrations/oauth/twitter.py
new file mode 100644
index 000000000000..486c14a21084
--- /dev/null
+++ b/autogpt_platform/backend/backend/integrations/oauth/twitter.py
@@ -0,0 +1,173 @@
+import time
+import urllib.parse
+from typing import ClassVar, Optional
+
+from backend.data.model import OAuth2Credentials, ProviderName
+from backend.integrations.oauth.base import BaseOAuthHandler
+from backend.util.request import Requests
+
+
+class TwitterOAuthHandler(BaseOAuthHandler):
+    PROVIDER_NAME = ProviderName.TWITTER
+    DEFAULT_SCOPES: ClassVar[list[str]] = [
+        "tweet.read",
+        "tweet.write",
+        "tweet.moderate.write",
+        "users.read",
+        "follows.read",
+        "follows.write",
+        "offline.access",
+        "space.read",
+        "mute.read",
+        "mute.write",
+        "like.read",
+        "like.write",
+        "list.read",
+        "list.write",
+        "block.read",
+        "block.write",
+        "bookmark.read",
+        "bookmark.write",
+    ]
+
+    AUTHORIZE_URL = "https://twitter.com/i/oauth2/authorize"
+    TOKEN_URL = "https://api.x.com/2/oauth2/token"
+    USERNAME_URL = "https://api.x.com/2/users/me"
+    REVOKE_URL = "https://api.x.com/2/oauth2/revoke"
+
+    def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
+        """Generate Twitter OAuth 2.0 authorization URL"""
+        # scopes = self.handle_default_scopes(scopes)
+
+        if code_challenge is None:
+            raise ValueError("code_challenge is required for Twitter OAuth")
+
+        params = {
+            "response_type": "code",
+            "client_id": self.client_id,
+            "redirect_uri": self.redirect_uri,
+            "scope": " ".join(self.DEFAULT_SCOPES),
+            "state": state,
+            "code_challenge": code_challenge,
+            "code_challenge_method": "S256",
+        }
+
+        return f"{self.AUTHORIZE_URL}?{urllib.parse.urlencode(params)}"
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
+    ) -> OAuth2Credentials:
+        """Exchange authorization code for access tokens"""
+
+        headers = {"Content-Type": "application/x-www-form-urlencoded"}
+
+        data = {
+            "code": code,
+            "grant_type": "authorization_code",
+            "redirect_uri": self.redirect_uri,
+            "code_verifier": code_verifier,
+        }
+
+        auth = (self.client_id, self.client_secret)
+
+        response = await Requests().post(
+            self.TOKEN_URL, headers=headers, data=data, auth=auth
+        )
+        tokens = response.json()
+
+        username = await self._get_username(tokens["access_token"])
+
+        return OAuth2Credentials(
+            provider=self.PROVIDER_NAME,
+            title=None,
+            username=username,
+            access_token=tokens["access_token"],
+            refresh_token=tokens.get("refresh_token"),
+            access_token_expires_at=int(time.time()) + tokens["expires_in"],
+            refresh_token_expires_at=None,
+            scopes=scopes,
+        )
+
+    async def _get_username(self, access_token: str) -> str:
+        """Get the username from the access token"""
+        headers = {"Authorization": f"Bearer {access_token}"}
+
+        params = {"user.fields": "username"}
+
+        response = await Requests().get(
+            f"{self.USERNAME_URL}?{urllib.parse.urlencode(params)}", headers=headers
+        )
+
+        return response.json()["data"]["username"]
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        """Refresh access tokens using refresh token"""
+        if not credentials.refresh_token:
+            raise ValueError("No refresh token available")
+
+        header = {"Content-Type": "application/x-www-form-urlencoded"}
+        data = {
+            "grant_type": "refresh_token",
+            "refresh_token": credentials.refresh_token.get_secret_value(),
+        }
+
+        auth = (self.client_id, self.client_secret)
+
+        response = await Requests().post(
+            self.TOKEN_URL, headers=header, data=data, auth=auth
+        )
+
+        if not response.ok:
+            error_text = response.text
+            print("HTTP Error:", response.status)
+            print("Response Content:", error_text)
+            raise ValueError(f"HTTP Error: {response.status} - {error_text}")
+
+        tokens = response.json()
+
+        username = await self._get_username(tokens["access_token"])
+
+        return OAuth2Credentials(
+            id=credentials.id,
+            provider=self.PROVIDER_NAME,
+            title=None,
+            username=username,
+            access_token=tokens["access_token"],
+            refresh_token=tokens["refresh_token"],
+            access_token_expires_at=int(time.time()) + tokens["expires_in"],
+            scopes=credentials.scopes,
+            refresh_token_expires_at=None,
+        )
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        """Revoke the access token"""
+
+        header = {"Content-Type": "application/x-www-form-urlencoded"}
+
+        data = {
+            "token": credentials.access_token.get_secret_value(),
+            "token_type_hint": "access_token",
+        }
+
+        auth = (self.client_id, self.client_secret)
+
+        response = await Requests().post(
+            self.REVOKE_URL, headers=header, data=data, auth=auth
+        )
+
+        if not response.ok:
+            error_text = response.text
+            print("HTTP Error:", response.status)
+            print("Response Content:", error_text)
+            raise ValueError(f"HTTP Error: {response.status} - {error_text}")
+
+        return response.ok
diff --git a/autogpt_platform/backend/backend/integrations/providers.py b/autogpt_platform/backend/backend/integrations/providers.py
index b9b99edf8ed3..3564ad32a872 100644
--- a/autogpt_platform/backend/backend/integrations/providers.py
+++ b/autogpt_platform/backend/backend/integrations/providers.py
@@ -1,31 +1,106 @@
 from enum import Enum
+from typing import Any
 
 
 # --8<-- [start:ProviderName]
 class ProviderName(str, Enum):
+    """
+    Provider names for integrations.
+
+    This enum extends str to accept any string value while maintaining
+    backward compatibility with existing provider constants.
+    """
+
+    AIML_API = "aiml_api"
     ANTHROPIC = "anthropic"
+    APOLLO = "apollo"
     COMPASS = "compass"
     DISCORD = "discord"
     D_ID = "d_id"
     E2B = "e2b"
-    EXA = "exa"
     FAL = "fal"
     GITHUB = "github"
     GOOGLE = "google"
     GOOGLE_MAPS = "google_maps"
     GROQ = "groq"
+    HTTP = "http"
     HUBSPOT = "hubspot"
+    ENRICHLAYER = "enrichlayer"
     IDEOGRAM = "ideogram"
     JINA = "jina"
+    LLAMA_API = "llama_api"
     MEDIUM = "medium"
+    MEM0 = "mem0"
     NOTION = "notion"
+    NVIDIA = "nvidia"
     OLLAMA = "ollama"
     OPENAI = "openai"
     OPENWEATHERMAP = "openweathermap"
     OPEN_ROUTER = "open_router"
     PINECONE = "pinecone"
+    REDDIT = "reddit"
     REPLICATE = "replicate"
     REVID = "revid"
+    SCREENSHOTONE = "screenshotone"
     SLANT3D = "slant3d"
+    SMARTLEAD = "smartlead"
+    SMTP = "smtp"
+    TWITTER = "twitter"
+    TODOIST = "todoist"
     UNREAL_SPEECH = "unreal_speech"
+    V0 = "v0"
+    ZEROBOUNCE = "zerobounce"
+
+    @classmethod
+    def _missing_(cls, value: Any) -> "ProviderName":
+        """
+        Allow any string value to be used as a ProviderName.
+        This enables SDK users to define custom providers without
+        modifying the enum.
+        """
+        if isinstance(value, str):
+            # Create a pseudo-member that behaves like an enum member
+            pseudo_member = str.__new__(cls, value)
+            pseudo_member._name_ = value.upper()
+            pseudo_member._value_ = value
+            return pseudo_member
+        return None  # type: ignore
+
+    @classmethod
+    def __get_pydantic_json_schema__(cls, schema, handler):
+        """
+        Custom JSON schema generation that allows any string value,
+        not just the predefined enum values.
+        """
+        # Get the default schema
+        json_schema = handler(schema)
+
+        # Remove the enum constraint to allow any string
+        if "enum" in json_schema:
+            del json_schema["enum"]
+
+        # Keep the type as string
+        json_schema["type"] = "string"
+
+        # Update description to indicate custom providers are allowed
+        json_schema["description"] = (
+            "Provider name for integrations. "
+            "Can be any string value, including custom provider names."
+        )
+
+        return json_schema
+
+    @classmethod
+    def __get_pydantic_core_schema__(cls, source_type, handler):
+        """
+        Pydantic v2 core schema that allows any string value.
+        """
+        from pydantic_core import core_schema
+
+        # Create a string schema that validates any string
+        return core_schema.no_info_after_validator_function(
+            cls,
+            core_schema.str_schema(),
+        )
+
     # --8<-- [end:ProviderName]
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/__init__.py b/autogpt_platform/backend/backend/integrations/webhooks/__init__.py
index 4ff4f8b5e0c5..3cf1dd72cfa8 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/__init__.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/__init__.py
@@ -1,22 +1,42 @@
+import functools
 from typing import TYPE_CHECKING
 
-from .compass import CompassWebhookManager
-from .github import GithubWebhooksManager
-from .slant3d import Slant3DWebhooksManager
-
 if TYPE_CHECKING:
     from ..providers import ProviderName
     from ._base import BaseWebhooksManager
 
-# --8<-- [start:WEBHOOK_MANAGERS_BY_NAME]
-WEBHOOK_MANAGERS_BY_NAME: dict["ProviderName", type["BaseWebhooksManager"]] = {
-    handler.PROVIDER_NAME: handler
-    for handler in [
-        CompassWebhookManager,
-        GithubWebhooksManager,
-        Slant3DWebhooksManager,
-    ]
-}
-# --8<-- [end:WEBHOOK_MANAGERS_BY_NAME]
-
-__all__ = ["WEBHOOK_MANAGERS_BY_NAME"]
+
+# --8<-- [start:load_webhook_managers]
+@functools.cache
+def load_webhook_managers() -> dict["ProviderName", type["BaseWebhooksManager"]]:
+    webhook_managers = {}
+
+    from .compass import CompassWebhookManager
+    from .github import GithubWebhooksManager
+    from .slant3d import Slant3DWebhooksManager
+
+    webhook_managers.update(
+        {
+            handler.PROVIDER_NAME: handler
+            for handler in [
+                CompassWebhookManager,
+                GithubWebhooksManager,
+                Slant3DWebhooksManager,
+            ]
+        }
+    )
+    return webhook_managers
+
+
+# --8<-- [end:load_webhook_managers]
+
+
+def get_webhook_manager(provider_name: "ProviderName") -> "BaseWebhooksManager":
+    return load_webhook_managers()[provider_name]()
+
+
+def supports_webhooks(provider_name: "ProviderName") -> bool:
+    return provider_name in load_webhook_managers()
+
+
+__all__ = ["get_webhook_manager", "supports_webhooks"]
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/_base.py b/autogpt_platform/backend/backend/integrations/webhooks/_base.py
index 4d6066d40d20..9342a6417bda 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/_base.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/_base.py
@@ -7,13 +7,14 @@
 from fastapi import Request
 from strenum import StrEnum
 
-from backend.data import integrations
+import backend.data.integrations as integrations
 from backend.data.model import Credentials
 from backend.integrations.providers import ProviderName
-from backend.integrations.webhooks.utils import webhook_ingress_url
 from backend.util.exceptions import MissingConfigError
 from backend.util.settings import Config
 
+from .utils import webhook_ingress_url
+
 logger = logging.getLogger(__name__)
 app_config = Config()
 
@@ -41,51 +42,84 @@ async def get_suitable_auto_webhook(
             )
 
         if webhook := await integrations.find_webhook_by_credentials_and_props(
-            credentials.id, webhook_type, resource, events
+            user_id=user_id,
+            credentials_id=credentials.id,
+            webhook_type=webhook_type,
+            resource=resource,
+            events=events,
         ):
             return webhook
+
         return await self._create_webhook(
-            user_id, webhook_type, events, resource, credentials
+            user_id=user_id,
+            webhook_type=webhook_type,
+            events=events,
+            resource=resource,
+            credentials=credentials,
         )
 
     async def get_manual_webhook(
         self,
         user_id: str,
-        graph_id: str,
         webhook_type: WT,
         events: list[str],
-    ):
-        if current_webhook := await integrations.find_webhook_by_graph_and_props(
-            graph_id, self.PROVIDER_NAME, webhook_type, events
+        graph_id: Optional[str] = None,
+        preset_id: Optional[str] = None,
+    ) -> integrations.Webhook:
+        """
+        Tries to find an existing webhook tied to `graph_id`/`preset_id`,
+        or creates a new webhook if none exists.
+
+        Existing webhooks are matched by `user_id`, `webhook_type`,
+        and `graph_id`/`preset_id`.
+
+        If an existing webhook is found, we check if the events match and update them
+        if necessary. We do this rather than creating a new webhook
+        to avoid changing the webhook URL for existing manual webhooks.
+        """
+        if (graph_id or preset_id) and (
+            current_webhook := await integrations.find_webhook_by_graph_and_props(
+                user_id=user_id,
+                provider=self.PROVIDER_NAME.value,
+                webhook_type=webhook_type,
+                graph_id=graph_id,
+                preset_id=preset_id,
+            )
         ):
+            if set(current_webhook.events) != set(events):
+                current_webhook = await integrations.update_webhook(
+                    current_webhook.id, events=events
+                )
             return current_webhook
+
         return await self._create_webhook(
-            user_id,
-            webhook_type,
-            events,
+            user_id=user_id,
+            webhook_type=webhook_type,
+            events=events,
             register=False,
         )
 
     async def prune_webhook_if_dangling(
-        self, webhook_id: str, credentials: Optional[Credentials]
+        self, user_id: str, webhook_id: str, credentials: Optional[Credentials]
     ) -> bool:
-        webhook = await integrations.get_webhook(webhook_id)
-        if webhook.attached_nodes is None:
-            raise ValueError("Error retrieving webhook including attached nodes")
-        if webhook.attached_nodes:
+        webhook = await integrations.get_webhook(webhook_id, include_relations=True)
+        if webhook.triggered_nodes or webhook.triggered_presets:
             # Don't prune webhook if in use
             return False
 
         if credentials:
             await self._deregister_webhook(webhook, credentials)
-        await integrations.delete_webhook(webhook.id)
+        await integrations.delete_webhook(user_id, webhook.id)
         return True
 
     # --8<-- [start:BaseWebhooksManager3]
     @classmethod
     @abstractmethod
     async def validate_payload(
-        cls, webhook: integrations.Webhook, request: Request
+        cls,
+        webhook: integrations.Webhook,
+        request: Request,
+        credentials: Credentials | None,
     ) -> tuple[dict, str]:
         """
         Validates an incoming webhook request and returns its payload and type.
@@ -168,7 +202,7 @@ async def _create_webhook(
 
         id = str(uuid4())
         secret = secrets.token_hex(32)
-        provider_name = self.PROVIDER_NAME
+        provider_name: ProviderName = self.PROVIDER_NAME
         ingress_url = webhook_ingress_url(provider_name=provider_name, webhook_id=id)
         if register:
             if not credentials:
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/_manual_base.py b/autogpt_platform/backend/backend/integrations/webhooks/_manual_base.py
index 0e1cc0dc4d95..cf749a3cf9b5 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/_manual_base.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/_manual_base.py
@@ -1,7 +1,7 @@
 import logging
 
 from backend.data import integrations
-from backend.data.model import APIKeyCredentials, Credentials, OAuth2Credentials
+from backend.data.model import Credentials
 
 from ._base import WT, BaseWebhooksManager
 
@@ -25,6 +25,6 @@ async def _register_webhook(
     async def _deregister_webhook(
         self,
         webhook: integrations.Webhook,
-        credentials: OAuth2Credentials | APIKeyCredentials,
+        credentials: Credentials,
     ) -> None:
         pass
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/compass.py b/autogpt_platform/backend/backend/integrations/webhooks/compass.py
index 8a2076a1dab1..6dbfc85604f3 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/compass.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/compass.py
@@ -5,6 +5,7 @@
 
 from backend.data import integrations
 from backend.integrations.providers import ProviderName
+from backend.sdk import Credentials
 
 from ._manual_base import ManualWebhookManagerBase
 
@@ -22,7 +23,10 @@ class CompassWebhookManager(ManualWebhookManagerBase):
 
     @classmethod
     async def validate_payload(
-        cls, webhook: integrations.Webhook, request: Request
+        cls,
+        webhook: integrations.Webhook,
+        request: Request,
+        credentials: Credentials | None,
     ) -> tuple[dict, str]:
         payload = await request.json()
         event_type = CompassWebhookType.TRANSCRIPTION  # currently the only type
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/github.py b/autogpt_platform/backend/backend/integrations/webhooks/github.py
index 8bf5639eb230..a4f74249f57b 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/github.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/github.py
@@ -2,13 +2,13 @@
 import hmac
 import logging
 
-import requests
 from fastapi import HTTPException, Request
 from strenum import StrEnum
 
 from backend.data import integrations
 from backend.data.model import Credentials
 from backend.integrations.providers import ProviderName
+from backend.util.request import Requests, Response
 
 from ._base import BaseWebhooksManager
 
@@ -30,7 +30,10 @@ class GithubWebhooksManager(BaseWebhooksManager):
 
     @classmethod
     async def validate_payload(
-        cls, webhook: integrations.Webhook, request: Request
+        cls,
+        webhook: integrations.Webhook,
+        request: Request,
+        credentials: Credentials | None,
     ) -> tuple[dict, str]:
         if not (event_type := request.headers.get("X-GitHub-Event")):
             raise HTTPException(
@@ -67,15 +70,15 @@ async def trigger_ping(
 
         headers = {
             **self.GITHUB_API_DEFAULT_HEADERS,
-            "Authorization": credentials.bearer(),
+            "Authorization": credentials.auth_header(),
         }
 
         repo, github_hook_id = webhook.resource, webhook.provider_webhook_id
         ping_url = f"{self.GITHUB_API_URL}/repos/{repo}/hooks/{github_hook_id}/pings"
 
-        response = requests.post(ping_url, headers=headers)
+        response = await Requests().post(ping_url, headers=headers)
 
-        if response.status_code != 204:
+        if response.status != 204:
             error_msg = extract_github_error_msg(response)
             raise ValueError(f"Failed to ping GitHub webhook: {error_msg}")
 
@@ -96,7 +99,7 @@ async def _register_webhook(
 
         headers = {
             **self.GITHUB_API_DEFAULT_HEADERS,
-            "Authorization": credentials.bearer(),
+            "Authorization": credentials.auth_header(),
         }
         webhook_data = {
             "name": "web",
@@ -110,13 +113,13 @@ async def _register_webhook(
             },
         }
 
-        response = requests.post(
+        response = await Requests().post(
             f"{self.GITHUB_API_URL}/repos/{resource}/hooks",
             headers=headers,
             json=webhook_data,
         )
 
-        if response.status_code != 201:
+        if response.status != 201:
             error_msg = extract_github_error_msg(response)
             if "not found" in error_msg.lower():
                 error_msg = (
@@ -126,8 +129,9 @@ async def _register_webhook(
                 )
             raise ValueError(f"Failed to create GitHub webhook: {error_msg}")
 
-        webhook_id = response.json()["id"]
-        config = response.json()["config"]
+        resp = response.json()
+        webhook_id = resp["id"]
+        config = resp["config"]
 
         return str(webhook_id), config
 
@@ -142,7 +146,7 @@ async def _deregister_webhook(
 
         headers = {
             **self.GITHUB_API_DEFAULT_HEADERS,
-            "Authorization": credentials.bearer(),
+            "Authorization": credentials.auth_header(),
         }
 
         if webhook_type == self.WebhookType.REPO:
@@ -153,9 +157,9 @@ async def _deregister_webhook(
                 f"Unsupported webhook type '{webhook.webhook_type}'"
             )
 
-        response = requests.delete(delete_url, headers=headers)
+        response = await Requests().delete(delete_url, headers=headers)
 
-        if response.status_code not in [204, 404]:
+        if response.status not in [204, 404]:
             # 204 means successful deletion, 404 means the webhook was already deleted
             error_msg = extract_github_error_msg(response)
             raise ValueError(f"Failed to delete GitHub webhook: {error_msg}")
@@ -166,7 +170,7 @@ async def _deregister_webhook(
 # --8<-- [end:GithubWebhooksManager]
 
 
-def extract_github_error_msg(response: requests.Response) -> str:
+def extract_github_error_msg(response: Response) -> str:
     error_msgs = []
     resp = response.json()
     if resp.get("message"):
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/graph_lifecycle_hooks.py b/autogpt_platform/backend/backend/integrations/webhooks/graph_lifecycle_hooks.py
index 0d44a51e1abb..bc363edd08e8 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/graph_lifecycle_hooks.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/graph_lifecycle_hooks.py
@@ -1,46 +1,70 @@
+import asyncio
 import logging
-from typing import TYPE_CHECKING, Callable, Optional, cast
+from typing import TYPE_CHECKING, Optional, cast, overload
 
-from backend.data.block import BlockWebhookConfig, get_block
+from backend.data.block import BlockSchema
 from backend.data.graph import set_node_webhook
-from backend.data.model import CREDENTIALS_FIELD_NAME
-from backend.integrations.webhooks import WEBHOOK_MANAGERS_BY_NAME
+from backend.integrations.creds_manager import IntegrationCredentialsManager
+
+from . import get_webhook_manager, supports_webhooks
+from .utils import setup_webhook_for_block
 
 if TYPE_CHECKING:
-    from backend.data.graph import GraphModel, NodeModel
+    from backend.data.graph import BaseGraph, GraphModel, Node, NodeModel
     from backend.data.model import Credentials
 
     from ._base import BaseWebhooksManager
 
 logger = logging.getLogger(__name__)
+credentials_manager = IntegrationCredentialsManager()
 
 
-async def on_graph_activate(
-    graph: "GraphModel", get_credentials: Callable[[str], "Credentials | None"]
-):
+async def on_graph_activate(graph: "GraphModel", user_id: str) -> "GraphModel":
     """
     Hook to be called when a graph is activated/created.
 
     ⚠️ Assuming node entities are not re-used between graph versions, ⚠️
     this hook calls `on_node_activate` on all nodes in this graph.
-
-    Params:
-        get_credentials: `credentials_id` -> Credentials
     """
-    # Compare nodes in new_graph_version with previous_graph_version
+    graph = await _on_graph_activate(graph, user_id)
+    graph.sub_graphs = await asyncio.gather(
+        *(_on_graph_activate(sub_graph, user_id) for sub_graph in graph.sub_graphs)
+    )
+    return graph
+
+
+@overload
+async def _on_graph_activate(graph: "GraphModel", user_id: str) -> "GraphModel": ...
+
+
+@overload
+async def _on_graph_activate(graph: "BaseGraph", user_id: str) -> "BaseGraph": ...
+
+
+async def _on_graph_activate(graph: "BaseGraph | GraphModel", user_id: str):
+    get_credentials = credentials_manager.cached_getter(user_id)
     updated_nodes = []
     for new_node in graph.nodes:
+        block_input_schema = cast(BlockSchema, new_node.block.input_schema)
+
         node_credentials = None
-        if creds_meta := new_node.input_default.get(CREDENTIALS_FIELD_NAME):
-            node_credentials = get_credentials(creds_meta["id"])
-            if not node_credentials:
-                raise ValueError(
-                    f"Node #{new_node.id} updated with non-existent "
-                    f"credentials #{node_credentials}"
+        if (
+            # Webhook-triggered blocks are only allowed to have 1 credentials input
+            (
+                creds_field_name := next(
+                    iter(block_input_schema.get_credentials_fields()), None
                 )
+            )
+            and (creds_meta := new_node.input_default.get(creds_field_name))
+            and not (node_credentials := await get_credentials(creds_meta["id"]))
+        ):
+            raise ValueError(
+                f"Node #{new_node.id} input '{creds_field_name}' updated with "
+                f"non-existent credentials #{creds_meta['id']}"
+            )
 
         updated_node = await on_node_activate(
-            graph.user_id, new_node, credentials=node_credentials
+            user_id, graph.id, new_node, credentials=node_credentials
         )
         updated_nodes.append(updated_node)
 
@@ -48,30 +72,37 @@ async def on_graph_activate(
     return graph
 
 
-async def on_graph_deactivate(
-    graph: "GraphModel", get_credentials: Callable[[str], "Credentials | None"]
-):
+async def on_graph_deactivate(graph: "GraphModel", user_id: str):
     """
     Hook to be called when a graph is deactivated/deleted.
 
     ⚠️ Assuming node entities are not re-used between graph versions, ⚠️
     this hook calls `on_node_deactivate` on all nodes in `graph`.
-
-    Params:
-        get_credentials: `credentials_id` -> Credentials
     """
+    get_credentials = credentials_manager.cached_getter(user_id)
     updated_nodes = []
     for node in graph.nodes:
+        block_input_schema = cast(BlockSchema, node.block.input_schema)
+
         node_credentials = None
-        if creds_meta := node.input_default.get(CREDENTIALS_FIELD_NAME):
-            node_credentials = get_credentials(creds_meta["id"])
-            if not node_credentials:
-                logger.error(
-                    f"Node #{node.id} referenced non-existent "
-                    f"credentials #{creds_meta['id']}"
+        if (
+            # Webhook-triggered blocks are only allowed to have 1 credentials input
+            (
+                creds_field_name := next(
+                    iter(block_input_schema.get_credentials_fields()), None
                 )
+            )
+            and (creds_meta := node.input_default.get(creds_field_name))
+            and not (node_credentials := await get_credentials(creds_meta["id"]))
+        ):
+            logger.error(
+                f"Node #{node.id} input '{creds_field_name}' referenced non-existent "
+                f"credentials #{creds_meta['id']}"
+            )
 
-        updated_node = await on_node_deactivate(node, credentials=node_credentials)
+        updated_node = await on_node_deactivate(
+            user_id, node, credentials=node_credentials
+        )
         updated_nodes.append(updated_node)
 
     graph.nodes = updated_nodes
@@ -80,112 +111,32 @@ async def on_graph_deactivate(
 
 async def on_node_activate(
     user_id: str,
-    node: "NodeModel",
+    graph_id: str,
+    node: "Node",
     *,
     credentials: Optional["Credentials"] = None,
-) -> "NodeModel":
+) -> "Node":
     """Hook to be called when the node is activated/created"""
 
-    block = get_block(node.block_id)
-    if not block:
-        raise ValueError(
-            f"Node #{node.id} is instance of unknown block #{node.block_id}"
+    if node.block.webhook_config:
+        new_webhook, feedback = await setup_webhook_for_block(
+            user_id=user_id,
+            trigger_block=node.block,
+            trigger_config=node.input_default,
+            for_graph_id=graph_id,
         )
-
-    if not block.webhook_config:
-        return node
-
-    provider = block.webhook_config.provider
-    if provider not in WEBHOOK_MANAGERS_BY_NAME:
-        raise ValueError(
-            f"Block #{block.id} has webhook_config for provider {provider} "
-            "which does not support webhooks"
-        )
-
-    logger.debug(
-        f"Activating webhook node #{node.id} with config {block.webhook_config}"
-    )
-
-    webhooks_manager = WEBHOOK_MANAGERS_BY_NAME[provider]()
-
-    if auto_setup_webhook := isinstance(block.webhook_config, BlockWebhookConfig):
-        try:
-            resource = block.webhook_config.resource_format.format(**node.input_default)
-        except KeyError:
-            resource = None
-        logger.debug(
-            f"Constructed resource string {resource} from input {node.input_default}"
-        )
-    else:
-        resource = ""  # not relevant for manual webhooks
-
-    needs_credentials = CREDENTIALS_FIELD_NAME in block.input_schema.model_fields
-    credentials_meta = (
-        node.input_default.get(CREDENTIALS_FIELD_NAME) if needs_credentials else None
-    )
-    event_filter_input_name = block.webhook_config.event_filter_input
-    has_everything_for_webhook = (
-        resource is not None
-        and (credentials_meta or not needs_credentials)
-        and (
-            not event_filter_input_name
-            or (
-                event_filter_input_name in node.input_default
-                and any(
-                    is_on
-                    for is_on in node.input_default[event_filter_input_name].values()
-                )
-            )
-        )
-    )
-
-    if has_everything_for_webhook and resource is not None:
-        logger.debug(f"Node #{node} has everything for a webhook!")
-        if credentials_meta and not credentials:
-            raise ValueError(
-                f"Cannot set up webhook for node #{node.id}: "
-                f"credentials #{credentials_meta['id']} not available"
-            )
-
-        if event_filter_input_name:
-            # Shape of the event filter is enforced in Block.__init__
-            event_filter = cast(dict, node.input_default[event_filter_input_name])
-            events = [
-                block.webhook_config.event_format.format(event=event)
-                for event, enabled in event_filter.items()
-                if enabled is True
-            ]
-            logger.debug(f"Webhook events to subscribe to: {', '.join(events)}")
-        else:
-            events = []
-
-        # Find/make and attach a suitable webhook to the node
-        if auto_setup_webhook:
-            assert credentials is not None
-            new_webhook = await webhooks_manager.get_suitable_auto_webhook(
-                user_id,
-                credentials,
-                block.webhook_config.webhook_type,
-                resource,
-                events,
-            )
+        if new_webhook:
+            node = await set_node_webhook(node.id, new_webhook.id)
         else:
-            # Manual webhook -> no credentials -> don't register but do create
-            new_webhook = await webhooks_manager.get_manual_webhook(
-                user_id,
-                node.graph_id,
-                block.webhook_config.webhook_type,
-                events,
+            logger.debug(
+                f"Node #{node.id} does not have everything for a webhook: {feedback}"
             )
-        logger.debug(f"Acquired webhook: {new_webhook}")
-        return await set_node_webhook(node.id, new_webhook.id)
-    else:
-        logger.debug(f"Node #{node.id} does not have everything for a webhook")
 
     return node
 
 
 async def on_node_deactivate(
+    user_id: str,
     node: "NodeModel",
     *,
     credentials: Optional["Credentials"] = None,
@@ -194,23 +145,19 @@ async def on_node_deactivate(
     """Hook to be called when node is deactivated/deleted"""
 
     logger.debug(f"Deactivating node #{node.id}")
-    block = get_block(node.block_id)
-    if not block:
-        raise ValueError(
-            f"Node #{node.id} is instance of unknown block #{node.block_id}"
-        )
+    block = node.block
 
     if not block.webhook_config:
         return node
 
     provider = block.webhook_config.provider
-    if provider not in WEBHOOK_MANAGERS_BY_NAME:
+    if not supports_webhooks(provider):
         raise ValueError(
             f"Block #{block.id} has webhook_config for provider {provider} "
             "which does not support webhooks"
         )
 
-    webhooks_manager = WEBHOOK_MANAGERS_BY_NAME[provider]()
+    webhooks_manager = get_webhook_manager(provider)
 
     if node.webhook_id:
         logger.debug(f"Node #{node.id} has webhook_id {node.webhook_id}")
@@ -228,9 +175,11 @@ async def on_node_deactivate(
             f"Pruning{' and deregistering' if credentials else ''} "
             f"webhook #{webhook.id}"
         )
-        await webhooks_manager.prune_webhook_if_dangling(webhook.id, credentials)
+        await webhooks_manager.prune_webhook_if_dangling(
+            user_id, webhook.id, credentials
+        )
         if (
-            CREDENTIALS_FIELD_NAME in block.input_schema.model_fields
+            cast(BlockSchema, block.input_schema).get_credentials_fields()
             and not credentials
         ):
             logger.warning(
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/slant3d.py b/autogpt_platform/backend/backend/integrations/webhooks/slant3d.py
index 189ab72083ef..059f0ada0944 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/slant3d.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/slant3d.py
@@ -1,12 +1,12 @@
 import logging
 
-import requests
 from fastapi import Request
 
 from backend.data import integrations
 from backend.data.model import APIKeyCredentials, Credentials
 from backend.integrations.providers import ProviderName
 from backend.integrations.webhooks._base import BaseWebhooksManager
+from backend.util.request import Requests
 
 logger = logging.getLogger(__name__)
 
@@ -39,7 +39,7 @@ async def _register_webhook(
         # Slant3D's API doesn't use events list, just register for all order updates
         payload = {"endPoint": ingress_url}
 
-        response = requests.post(
+        response = await Requests().post(
             f"{self.BASE_URL}/customer/webhookSubscribe", headers=headers, json=payload
         )
 
@@ -58,7 +58,10 @@ async def _register_webhook(
 
     @classmethod
     async def validate_payload(
-        cls, webhook: integrations.Webhook, request: Request
+        cls,
+        webhook: integrations.Webhook,
+        request: Request,
+        credentials: Credentials | None,
     ) -> tuple[dict, str]:
         """Validate incoming webhook payload from Slant3D"""
 
diff --git a/autogpt_platform/backend/backend/integrations/webhooks/utils.py b/autogpt_platform/backend/backend/integrations/webhooks/utils.py
index 87724c04cde8..d7c66efe2901 100644
--- a/autogpt_platform/backend/backend/integrations/webhooks/utils.py
+++ b/autogpt_platform/backend/backend/integrations/webhooks/utils.py
@@ -1,11 +1,146 @@
+import logging
+from typing import TYPE_CHECKING, Optional, cast
+
+from pydantic import JsonValue
+
+from backend.integrations.creds_manager import IntegrationCredentialsManager
+from backend.integrations.providers import ProviderName
 from backend.util.settings import Config
 
+from . import get_webhook_manager, supports_webhooks
+
+if TYPE_CHECKING:
+    from backend.data.block import Block, BlockSchema
+    from backend.data.integrations import Webhook
+    from backend.data.model import Credentials
+
+logger = logging.getLogger(__name__)
 app_config = Config()
+credentials_manager = IntegrationCredentialsManager()
 
 
 # TODO: add test to assert this matches the actual API route
-def webhook_ingress_url(provider_name: str, webhook_id: str) -> str:
+def webhook_ingress_url(provider_name: ProviderName, webhook_id: str) -> str:
     return (
-        f"{app_config.platform_base_url}/api/integrations/{provider_name}"
+        f"{app_config.platform_base_url}/api/integrations/{provider_name.value}"
         f"/webhooks/{webhook_id}/ingress"
     )
+
+
+async def setup_webhook_for_block(
+    user_id: str,
+    trigger_block: "Block[BlockSchema, BlockSchema]",
+    trigger_config: dict[str, JsonValue],  # = Trigger block inputs
+    for_graph_id: Optional[str] = None,
+    for_preset_id: Optional[str] = None,
+    credentials: Optional["Credentials"] = None,
+) -> tuple["Webhook", None] | tuple[None, str]:
+    """
+    Utility function to create (and auto-setup if possible) a webhook for a given provider.
+
+    Returns:
+        Webhook: The created or found webhook object, if successful.
+        str: A feedback message, if any required inputs are missing.
+    """
+    from backend.data.block import BlockWebhookConfig
+
+    if not (trigger_base_config := trigger_block.webhook_config):
+        raise ValueError(f"Block #{trigger_block.id} does not have a webhook_config")
+
+    provider = trigger_base_config.provider
+    if not supports_webhooks(provider):
+        raise NotImplementedError(
+            f"Block #{trigger_block.id} has webhook_config for provider {provider} "
+            "for which we do not have a WebhooksManager"
+        )
+
+    logger.debug(
+        f"Setting up webhook for block #{trigger_block.id} with config {trigger_config}"
+    )
+
+    # Check & parse the event filter input, if any
+    events: list[str] = []
+    if event_filter_input_name := trigger_base_config.event_filter_input:
+        if not (event_filter := trigger_config.get(event_filter_input_name)):
+            return None, (
+                f"Cannot set up {provider.value} webhook without event filter input: "
+                f"missing input for '{event_filter_input_name}'"
+            )
+        elif not (
+            # Shape of the event filter is enforced in Block.__init__
+            any((event_filter := cast(dict[str, bool], event_filter)).values())
+        ):
+            return None, (
+                f"Cannot set up {provider.value} webhook without any enabled events "
+                f"in event filter input '{event_filter_input_name}'"
+            )
+
+        events = [
+            trigger_base_config.event_format.format(event=event)
+            for event, enabled in event_filter.items()
+            if enabled is True
+        ]
+        logger.debug(f"Webhook events to subscribe to: {', '.join(events)}")
+
+    # Check & process prerequisites for auto-setup webhooks
+    if auto_setup_webhook := isinstance(trigger_base_config, BlockWebhookConfig):
+        try:
+            resource = trigger_base_config.resource_format.format(**trigger_config)
+        except KeyError as missing_key:
+            return None, (
+                f"Cannot auto-setup {provider.value} webhook without resource: "
+                f"missing input for '{missing_key}'"
+            )
+        logger.debug(
+            f"Constructed resource string {resource} from input {trigger_config}"
+        )
+
+        creds_field_name = next(
+            # presence of this field is enforced in Block.__init__
+            iter(trigger_block.input_schema.get_credentials_fields())
+        )
+
+        if not (
+            credentials_meta := cast(dict, trigger_config.get(creds_field_name, None))
+        ):
+            return None, f"Cannot set up {provider.value} webhook without credentials"
+        elif not (
+            credentials := credentials
+            or await credentials_manager.get(user_id, credentials_meta["id"])
+        ):
+            raise ValueError(
+                f"Cannot set up {provider.value} webhook without credentials: "
+                f"credentials #{credentials_meta['id']} not found for user #{user_id}"
+            )
+        elif credentials.provider != provider:
+            raise ValueError(
+                f"Credentials #{credentials.id} do not match provider {provider.value}"
+            )
+    else:
+        # not relevant for manual webhooks:
+        resource = ""
+        credentials = None
+
+    webhooks_manager = get_webhook_manager(provider)
+
+    # Find/make and attach a suitable webhook to the node
+    if auto_setup_webhook:
+        assert credentials is not None
+        webhook = await webhooks_manager.get_suitable_auto_webhook(
+            user_id=user_id,
+            credentials=credentials,
+            webhook_type=trigger_base_config.webhook_type,
+            resource=resource,
+            events=events,
+        )
+    else:
+        # Manual webhook -> no credentials -> don't register but do create
+        webhook = await webhooks_manager.get_manual_webhook(
+            user_id=user_id,
+            webhook_type=trigger_base_config.webhook_type,
+            events=events,
+            graph_id=for_graph_id,
+            preset_id=for_preset_id,
+        )
+    logger.debug(f"Acquired webhook: {webhook}")
+    return webhook, None
diff --git a/autogpt_platform/backend/backend/monitoring/__init__.py b/autogpt_platform/backend/backend/monitoring/__init__.py
new file mode 100644
index 000000000000..5f9ff309179b
--- /dev/null
+++ b/autogpt_platform/backend/backend/monitoring/__init__.py
@@ -0,0 +1,24 @@
+"""Monitoring module for platform health and alerting."""
+
+from .block_error_monitor import BlockErrorMonitor, report_block_error_rates
+from .late_execution_monitor import (
+    LateExecutionException,
+    LateExecutionMonitor,
+    report_late_executions,
+)
+from .notification_monitor import (
+    NotificationJobArgs,
+    process_existing_batches,
+    process_weekly_summary,
+)
+
+__all__ = [
+    "BlockErrorMonitor",
+    "LateExecutionMonitor",
+    "LateExecutionException",
+    "NotificationJobArgs",
+    "report_block_error_rates",
+    "report_late_executions",
+    "process_existing_batches",
+    "process_weekly_summary",
+]
diff --git a/autogpt_platform/backend/backend/monitoring/block_error_monitor.py b/autogpt_platform/backend/backend/monitoring/block_error_monitor.py
new file mode 100644
index 000000000000..ffd2ffc8889e
--- /dev/null
+++ b/autogpt_platform/backend/backend/monitoring/block_error_monitor.py
@@ -0,0 +1,292 @@
+"""Block error rate monitoring module."""
+
+import logging
+import re
+from datetime import datetime, timedelta, timezone
+
+from pydantic import BaseModel
+
+from backend.data.block import get_block
+from backend.data.execution import ExecutionStatus, NodeExecutionResult
+from backend.util.clients import (
+    get_database_manager_client,
+    get_notification_manager_client,
+)
+from backend.util.metrics import sentry_capture_error
+from backend.util.settings import Config
+
+logger = logging.getLogger(__name__)
+config = Config()
+
+
+class BlockStatsWithSamples(BaseModel):
+    """Enhanced block stats with error samples."""
+
+    block_id: str
+    block_name: str
+    total_executions: int
+    failed_executions: int
+    error_samples: list[str] = []
+
+    @property
+    def error_rate(self) -> float:
+        """Calculate error rate as a percentage."""
+        if self.total_executions == 0:
+            return 0.0
+        return (self.failed_executions / self.total_executions) * 100
+
+
+class BlockErrorMonitor:
+    """Monitor block error rates and send alerts when thresholds are exceeded."""
+
+    def __init__(self, include_top_blocks: int | None = None):
+        self.config = config
+        self.notification_client = get_notification_manager_client()
+        self.include_top_blocks = (
+            include_top_blocks
+            if include_top_blocks is not None
+            else config.block_error_include_top_blocks
+        )
+
+    def check_block_error_rates(self) -> str:
+        """Check block error rates and send Discord alerts if thresholds are exceeded."""
+        try:
+            logger.info("Checking block error rates")
+
+            # Get executions from the last 24 hours
+            end_time = datetime.now(timezone.utc)
+            start_time = end_time - timedelta(hours=24)
+
+            # Use SQL aggregation to efficiently count totals and failures by block
+            block_stats = self._get_block_stats_from_db(start_time, end_time)
+
+            # For blocks with high error rates, fetch error samples
+            threshold = self.config.block_error_rate_threshold
+            for block_name, stats in block_stats.items():
+                if stats.total_executions >= 10 and stats.error_rate >= threshold * 100:
+                    # Only fetch error samples for blocks that exceed threshold
+                    error_samples = self._get_error_samples_for_block(
+                        stats.block_id, start_time, end_time, limit=3
+                    )
+                    stats.error_samples = error_samples
+
+            # Check thresholds and send alerts
+            critical_alerts = self._generate_critical_alerts(block_stats, threshold)
+
+            if critical_alerts:
+                msg = "Block Error Rate Alert:\n\n" + "\n\n".join(critical_alerts)
+                self.notification_client.discord_system_alert(msg)
+                logger.info(
+                    f"Sent block error rate alert for {len(critical_alerts)} blocks"
+                )
+                return f"Alert sent for {len(critical_alerts)} blocks with high error rates"
+
+            # If no critical alerts, check if we should show top blocks
+            if self.include_top_blocks > 0:
+                top_blocks_msg = self._generate_top_blocks_alert(
+                    block_stats, start_time, end_time
+                )
+                if top_blocks_msg:
+                    self.notification_client.discord_system_alert(top_blocks_msg)
+                    logger.info("Sent top blocks summary")
+                    return "Sent top blocks summary"
+
+            logger.info("No blocks exceeded error rate threshold")
+            return "No errors reported for today"
+
+        except Exception as e:
+            logger.exception(f"Error checking block error rates: {e}")
+
+            error = Exception(f"Error checking block error rates: {e}")
+            msg = str(error)
+            sentry_capture_error(error)
+            self.notification_client.discord_system_alert(msg)
+            return msg
+
+    def _get_block_stats_from_db(
+        self, start_time: datetime, end_time: datetime
+    ) -> dict[str, BlockStatsWithSamples]:
+        """Get block execution stats using efficient SQL aggregation."""
+
+        result = get_database_manager_client().get_block_error_stats(
+            start_time, end_time
+        )
+
+        block_stats = {}
+        for stats in result:
+            block_name = b.name if (b := get_block(stats.block_id)) else "Unknown"
+
+            block_stats[block_name] = BlockStatsWithSamples(
+                block_id=stats.block_id,
+                block_name=block_name,
+                total_executions=stats.total_executions,
+                failed_executions=stats.failed_executions,
+                error_samples=[],
+            )
+
+        return block_stats
+
+    def _generate_critical_alerts(
+        self, block_stats: dict[str, BlockStatsWithSamples], threshold: float
+    ) -> list[str]:
+        """Generate alerts for blocks that exceed the error rate threshold."""
+        alerts = []
+
+        for block_name, stats in block_stats.items():
+            if stats.total_executions >= 10 and stats.error_rate >= threshold * 100:
+                error_groups = self._group_similar_errors(stats.error_samples)
+
+                alert_msg = (
+                    f"🚨 Block '{block_name}' has {stats.error_rate:.1f}% error rate "
+                    f"({stats.failed_executions}/{stats.total_executions}) in the last 24 hours"
+                )
+
+                if error_groups:
+                    alert_msg += "\n\n📊 Error Types:"
+                    for error_pattern, count in error_groups.items():
+                        alert_msg += f"\n• {error_pattern} ({count}x)"
+
+                alerts.append(alert_msg)
+
+        return alerts
+
+    def _generate_top_blocks_alert(
+        self,
+        block_stats: dict[str, BlockStatsWithSamples],
+        start_time: datetime,
+        end_time: datetime,
+    ) -> str | None:
+        """Generate top blocks summary when no critical alerts exist."""
+        top_error_blocks = sorted(
+            [
+                (name, stats)
+                for name, stats in block_stats.items()
+                if stats.total_executions >= 10 and stats.failed_executions > 0
+            ],
+            key=lambda x: x[1].failed_executions,
+            reverse=True,
+        )[: self.include_top_blocks]
+
+        if not top_error_blocks:
+            return "✅ No errors reported for today - all blocks are running smoothly!"
+
+        # Get error samples for top blocks
+        for block_name, stats in top_error_blocks:
+            if not stats.error_samples:
+                stats.error_samples = self._get_error_samples_for_block(
+                    stats.block_id, start_time, end_time, limit=2
+                )
+
+        count_text = (
+            f"top {self.include_top_blocks}" if self.include_top_blocks > 1 else "top"
+        )
+        alert_msg = f"📊 Daily Error Summary - {count_text} blocks with most errors:"
+        for block_name, stats in top_error_blocks:
+            alert_msg += f"\n• {block_name}: {stats.failed_executions} errors ({stats.error_rate:.1f}% of {stats.total_executions})"
+
+            if stats.error_samples:
+                error_groups = self._group_similar_errors(stats.error_samples)
+                if error_groups:
+                    # Show most common error
+                    most_common_error = next(iter(error_groups.items()))
+                    alert_msg += f"\n  └ Most common: {most_common_error[0]}"
+
+        return alert_msg
+
+    def _get_error_samples_for_block(
+        self, block_id: str, start_time: datetime, end_time: datetime, limit: int = 3
+    ) -> list[str]:
+        """Get error samples for a specific block - just a few recent ones."""
+        # Only fetch a small number of recent failed executions for this specific block
+        executions = get_database_manager_client().get_node_executions(
+            block_ids=[block_id],
+            statuses=[ExecutionStatus.FAILED],
+            created_time_gte=start_time,
+            created_time_lte=end_time,
+            limit=limit,  # Just get the limit we need
+        )
+
+        error_samples = []
+        for execution in executions:
+            if error_message := self._extract_error_message(execution):
+                masked_error = self._mask_sensitive_data(error_message)
+                error_samples.append(masked_error)
+
+            if len(error_samples) >= limit:  # Stop once we have enough samples
+                break
+
+        return error_samples
+
+    def _extract_error_message(self, execution: NodeExecutionResult) -> str | None:
+        """Extract error message from execution output."""
+        try:
+            if execution.output_data and (
+                error_msg := execution.output_data.get("error")
+            ):
+                return str(error_msg[0])
+            return None
+        except Exception:
+            return None
+
+    def _mask_sensitive_data(self, error_message):
+        """Mask sensitive data in error messages to enable grouping."""
+        if not error_message:
+            return ""
+
+        # Convert to string if not already
+        error_str = str(error_message)
+
+        # Mask numbers (replace with X)
+        error_str = re.sub(r"\d+", "X", error_str)
+
+        # Mask all caps words (likely constants/IDs)
+        error_str = re.sub(r"\b[A-Z_]{3,}\b", "MASKED", error_str)
+
+        # Mask words with underscores (likely internal variables)
+        error_str = re.sub(r"\b\w*_\w*\b", "MASKED", error_str)
+
+        # Mask UUIDs and long alphanumeric strings
+        error_str = re.sub(
+            r"\b[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}\b",
+            "UUID",
+            error_str,
+        )
+        error_str = re.sub(r"\b[a-f0-9]{20,}\b", "HASH", error_str)
+
+        # Mask file paths
+        error_str = re.sub(r"(/[^/\s]+)+", "/MASKED/path", error_str)
+
+        # Mask URLs
+        error_str = re.sub(r"https?://[^\s]+", "URL", error_str)
+
+        # Mask email addresses
+        error_str = re.sub(
+            r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b", "EMAIL", error_str
+        )
+
+        # Truncate if too long
+        if len(error_str) > 100:
+            error_str = error_str[:97] + "..."
+
+        return error_str.strip()
+
+    def _group_similar_errors(self, error_samples):
+        """Group similar error messages and return counts."""
+        if not error_samples:
+            return {}
+
+        error_groups = {}
+        for error in error_samples:
+            if error in error_groups:
+                error_groups[error] += 1
+            else:
+                error_groups[error] = 1
+
+        # Sort by frequency, most common first
+        return dict(sorted(error_groups.items(), key=lambda x: x[1], reverse=True))
+
+
+def report_block_error_rates(include_top_blocks: int | None = None):
+    """Check block error rates and send Discord alerts if thresholds are exceeded."""
+    monitor = BlockErrorMonitor(include_top_blocks=include_top_blocks)
+    return monitor.check_block_error_rates()
diff --git a/autogpt_platform/backend/backend/monitoring/late_execution_monitor.py b/autogpt_platform/backend/backend/monitoring/late_execution_monitor.py
new file mode 100644
index 000000000000..1e0c99cac384
--- /dev/null
+++ b/autogpt_platform/backend/backend/monitoring/late_execution_monitor.py
@@ -0,0 +1,110 @@
+"""Late execution monitoring module."""
+
+import logging
+from datetime import datetime, timedelta, timezone
+
+from backend.data.execution import ExecutionStatus
+from backend.util.clients import (
+    get_database_manager_client,
+    get_notification_manager_client,
+)
+from backend.util.metrics import sentry_capture_error
+from backend.util.settings import Config
+
+logger = logging.getLogger(__name__)
+config = Config()
+
+
+class LateExecutionException(Exception):
+    """Exception raised when late executions are detected."""
+
+    pass
+
+
+class LateExecutionMonitor:
+    """Monitor late executions and send alerts when thresholds are exceeded."""
+
+    def __init__(self):
+        self.config = config
+        self.notification_client = get_notification_manager_client()
+
+    def check_late_executions(self) -> str:
+        """Check for late executions and send alerts if found."""
+
+        # Check for QUEUED executions
+        queued_late_executions = get_database_manager_client().get_graph_executions(
+            statuses=[ExecutionStatus.QUEUED],
+            created_time_gte=datetime.now(timezone.utc)
+            - timedelta(
+                seconds=self.config.execution_late_notification_checkrange_secs
+            ),
+            created_time_lte=datetime.now(timezone.utc)
+            - timedelta(seconds=self.config.execution_late_notification_threshold_secs),
+            limit=1000,
+        )
+
+        # Check for RUNNING executions stuck for more than 24 hours
+        running_late_executions = get_database_manager_client().get_graph_executions(
+            statuses=[ExecutionStatus.RUNNING],
+            created_time_gte=datetime.now(timezone.utc)
+            - timedelta(hours=24)
+            - timedelta(
+                seconds=self.config.execution_late_notification_checkrange_secs
+            ),
+            created_time_lte=datetime.now(timezone.utc) - timedelta(hours=24),
+            limit=1000,
+        )
+
+        all_late_executions = queued_late_executions + running_late_executions
+
+        if not all_late_executions:
+            return "No late executions detected."
+
+        # Sort by created time (oldest first)
+        all_late_executions.sort(key=lambda x: x.started_at)
+
+        num_total_late = len(all_late_executions)
+        num_queued = len(queued_late_executions)
+        num_running = len(running_late_executions)
+        num_users = len(set([r.user_id for r in all_late_executions]))
+
+        # Truncate to max entries
+        tuncate_size = 5
+        truncated_executions = all_late_executions[:tuncate_size]
+        was_truncated = num_total_late > tuncate_size
+
+        late_execution_details = [
+            f"* `Execution ID: {exec.id}, Graph ID: {exec.graph_id}v{exec.graph_version}, User ID: {exec.user_id}, Status: {exec.status}, Created At: {exec.started_at.isoformat()}`"
+            for exec in truncated_executions
+        ]
+
+        message_parts = [
+            f"Late executions detected: {num_total_late} total late executions ({num_queued} QUEUED, {num_running} RUNNING) from {num_users} users.",
+            f"QUEUED executions have been waiting for more than {self.config.execution_late_notification_threshold_secs} seconds.",
+            "RUNNING executions have been running for more than 24 hours.",
+            "Please check the executor status.",
+        ]
+
+        if was_truncated:
+            message_parts.append(
+                f"\nShowing first {tuncate_size} of {num_total_late} late executions:"
+            )
+        else:
+            message_parts.append("\nDetails:")
+
+        error_message = (
+            "\n".join(message_parts) + "\n" + "\n".join(late_execution_details)
+        )
+
+        error = LateExecutionException(error_message)
+        msg = str(error)
+
+        sentry_capture_error(error)
+        self.notification_client.discord_system_alert(msg)
+        return msg
+
+
+def report_late_executions() -> str:
+    """Check for late executions and send Discord alerts if found."""
+    monitor = LateExecutionMonitor()
+    return monitor.check_late_executions()
diff --git a/autogpt_platform/backend/backend/monitoring/notification_monitor.py b/autogpt_platform/backend/backend/monitoring/notification_monitor.py
new file mode 100644
index 000000000000..db69b4d9fb42
--- /dev/null
+++ b/autogpt_platform/backend/backend/monitoring/notification_monitor.py
@@ -0,0 +1,38 @@
+"""Notification processing monitoring module."""
+
+import logging
+
+from prisma.enums import NotificationType
+from pydantic import BaseModel
+
+from backend.util.clients import get_notification_manager_client
+
+logger = logging.getLogger(__name__)
+
+
+class NotificationJobArgs(BaseModel):
+    notification_types: list[NotificationType]
+    cron: str
+
+
+def process_existing_batches(**kwargs):
+    """Process existing notification batches."""
+    args = NotificationJobArgs(**kwargs)
+    try:
+        logging.info(
+            f"Processing existing batches for notification type {args.notification_types}"
+        )
+        get_notification_manager_client().process_existing_batches(
+            args.notification_types
+        )
+    except Exception as e:
+        logger.exception(f"Error processing existing batches: {e}")
+
+
+def process_weekly_summary(**kwargs):
+    """Process weekly summary notifications."""
+    try:
+        logging.info("Processing weekly summary")
+        get_notification_manager_client().queue_weekly_summary()
+    except Exception as e:
+        logger.exception(f"Error processing weekly summary: {e}")
diff --git a/autogpt_platform/backend/backend/notification.py b/autogpt_platform/backend/backend/notification.py
new file mode 100644
index 000000000000..4a349a4929d5
--- /dev/null
+++ b/autogpt_platform/backend/backend/notification.py
@@ -0,0 +1,15 @@
+from backend.app import run_processes
+from backend.notifications.notifications import NotificationManager
+
+
+def main():
+    """
+    Run the AutoGPT-server Notification Service.
+    """
+    run_processes(
+        NotificationManager(),
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/autogpt_platform/backend/backend/notifications/__init__.py b/autogpt_platform/backend/backend/notifications/__init__.py
new file mode 100644
index 000000000000..804449e10610
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/__init__.py
@@ -0,0 +1,6 @@
+from .notifications import NotificationManager, NotificationManagerClient
+
+__all__ = [
+    "NotificationManager",
+    "NotificationManagerClient",
+]
diff --git a/autogpt_platform/backend/backend/notifications/email.py b/autogpt_platform/backend/backend/notifications/email.py
new file mode 100644
index 000000000000..84202ea6a97a
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/email.py
@@ -0,0 +1,149 @@
+import logging
+import pathlib
+
+from postmarker.core import PostmarkClient
+from postmarker.models.emails import EmailManager
+from prisma.enums import NotificationType
+from pydantic import BaseModel
+
+from backend.data.notifications import (
+    NotificationDataType_co,
+    NotificationEventModel,
+    NotificationTypeOverride,
+)
+from backend.util.settings import Settings
+from backend.util.text import TextFormatter
+
+logger = logging.getLogger(__name__)
+settings = Settings()
+
+
+# The following is a workaround to get the type checker to recognize the EmailManager type
+# This is a temporary solution and should be removed once the Postmark library is updated
+# to support type annotations.
+class TypedPostmarkClient(PostmarkClient):
+    emails: EmailManager
+
+
+class Template(BaseModel):
+    subject_template: str
+    body_template: str
+    base_template: str
+
+
+class EmailSender:
+    def __init__(self):
+        if settings.secrets.postmark_server_api_token:
+            self.postmark = TypedPostmarkClient(
+                server_token=settings.secrets.postmark_server_api_token
+            )
+        else:
+            logger.warning(
+                "Postmark server API token not found, email sending disabled"
+            )
+            self.postmark = None
+        self.formatter = TextFormatter()
+
+    def send_templated(
+        self,
+        notification: NotificationType,
+        user_email: str,
+        data: (
+            NotificationEventModel[NotificationDataType_co]
+            | list[NotificationEventModel[NotificationDataType_co]]
+        ),
+        user_unsub_link: str | None = None,
+    ):
+        """Send an email to a user using a template pulled from the notification type"""
+        if not self.postmark:
+            logger.warning("Postmark client not initialized, email not sent")
+            return
+        template = self._get_template(notification)
+
+        base_url = (
+            settings.config.frontend_base_url or settings.config.platform_base_url
+        )
+
+        # Handle the case when data is a list
+        template_data = data
+        if isinstance(data, list):
+            # Create a dictionary with a 'notifications' key containing the list
+            template_data = {"notifications": data}
+
+        try:
+            subject, full_message = self.formatter.format_email(
+                base_template=template.base_template,
+                subject_template=template.subject_template,
+                content_template=template.body_template,
+                data=template_data,
+                unsubscribe_link=f"{base_url}/profile/settings",
+            )
+        except Exception as e:
+            logger.error(f"Error formatting full message: {e}")
+            raise e
+
+        # Check email size (Postmark limit is 5MB = 5,242,880 characters)
+        email_size = len(full_message)
+        if email_size > 5_000_000:  # Leave some buffer
+            logger.warning(
+                f"Email size ({email_size} chars) exceeds safe limit. "
+                f"This should have been chunked before calling send_templated."
+            )
+            raise ValueError(
+                f"Email body too large: {email_size} characters (limit: 5,242,880)"
+            )
+
+        logger.debug(f"Sending email with size: {email_size} characters")
+
+        self._send_email(
+            user_email=user_email,
+            user_unsubscribe_link=user_unsub_link,
+            subject=subject,
+            body=full_message,
+        )
+
+    def _get_template(self, notification: NotificationType):
+        # convert the notification type to a notification type override
+        notification_type_override = NotificationTypeOverride(notification)
+        # find the template in templates/name.html (the .template returns with the .html)
+        template_path = f"templates/{notification_type_override.template}.jinja2"
+        logger.debug(
+            f"Template full path: {pathlib.Path(__file__).parent / template_path}"
+        )
+        base_template_path = "templates/base.html.jinja2"
+        with open(pathlib.Path(__file__).parent / base_template_path, "r") as file:
+            base_template = file.read()
+        with open(pathlib.Path(__file__).parent / template_path, "r") as file:
+            template = file.read()
+        return Template(
+            subject_template=notification_type_override.subject,
+            body_template=template,
+            base_template=base_template,
+        )
+
+    def _send_email(
+        self,
+        user_email: str,
+        subject: str,
+        body: str,
+        user_unsubscribe_link: str | None = None,
+    ):
+        if not self.postmark:
+            logger.warning("Email tried to send without postmark configured")
+            return
+        logger.debug(f"Sending email to {user_email} with subject {subject}")
+        self.postmark.emails.send(
+            From=settings.config.postmark_sender_email,
+            To=user_email,
+            Subject=subject,
+            HtmlBody=body,
+            # Headers default to None internally so this is fine
+            Headers=(
+                {
+                    "List-Unsubscribe-Post": "List-Unsubscribe=One-Click",
+                    "List-Unsubscribe": f"<{user_unsubscribe_link}>",
+                }
+                if user_unsubscribe_link
+                else None
+            ),
+        )
diff --git a/autogpt_platform/backend/backend/notifications/notifications.py b/autogpt_platform/backend/backend/notifications/notifications.py
new file mode 100644
index 000000000000..399e4268374a
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/notifications.py
@@ -0,0 +1,934 @@
+import asyncio
+import logging
+from datetime import datetime, timedelta, timezone
+from typing import Awaitable, Callable
+
+import aio_pika
+from prisma.enums import NotificationType
+
+from backend.data import rabbitmq
+from backend.data.notifications import (
+    BaseEventModel,
+    BaseSummaryData,
+    BaseSummaryParams,
+    DailySummaryData,
+    DailySummaryParams,
+    NotificationEventModel,
+    NotificationResult,
+    NotificationTypeOverride,
+    QueueType,
+    SummaryParamsEventModel,
+    WeeklySummaryData,
+    WeeklySummaryParams,
+    get_batch_delay,
+    get_notif_data_type,
+    get_summary_params_type,
+)
+from backend.data.rabbitmq import Exchange, ExchangeType, Queue, RabbitMQConfig
+from backend.data.user import generate_unsubscribe_link
+from backend.notifications.email import EmailSender
+from backend.util.clients import get_database_manager_async_client
+from backend.util.logging import TruncatedLogger
+from backend.util.metrics import DiscordChannel, discord_send_alert
+from backend.util.retry import continuous_retry
+from backend.util.service import (
+    AppService,
+    AppServiceClient,
+    UnhealthyServiceError,
+    endpoint_to_sync,
+    expose,
+)
+from backend.util.settings import Settings
+
+logger = TruncatedLogger(logging.getLogger(__name__), "[NotificationManager]")
+settings = Settings()
+
+
+NOTIFICATION_EXCHANGE = Exchange(name="notifications", type=ExchangeType.TOPIC)
+DEAD_LETTER_EXCHANGE = Exchange(name="dead_letter", type=ExchangeType.TOPIC)
+EXCHANGES = [NOTIFICATION_EXCHANGE, DEAD_LETTER_EXCHANGE]
+
+
+def create_notification_config() -> RabbitMQConfig:
+    """Create RabbitMQ configuration for notifications"""
+
+    queues = [
+        # Main notification queues
+        Queue(
+            name="immediate_notifications",
+            exchange=NOTIFICATION_EXCHANGE,
+            routing_key="notification.immediate.#",
+            arguments={
+                "x-dead-letter-exchange": DEAD_LETTER_EXCHANGE.name,
+                "x-dead-letter-routing-key": "failed.immediate",
+            },
+        ),
+        Queue(
+            name="admin_notifications",
+            exchange=NOTIFICATION_EXCHANGE,
+            routing_key="notification.admin.#",
+            arguments={
+                "x-dead-letter-exchange": DEAD_LETTER_EXCHANGE.name,
+                "x-dead-letter-routing-key": "failed.admin",
+            },
+        ),
+        # Summary notification queues
+        Queue(
+            name="summary_notifications",
+            exchange=NOTIFICATION_EXCHANGE,
+            routing_key="notification.summary.#",
+            arguments={
+                "x-dead-letter-exchange": DEAD_LETTER_EXCHANGE.name,
+                "x-dead-letter-routing-key": "failed.summary",
+            },
+        ),
+        # Batch Queue
+        Queue(
+            name="batch_notifications",
+            exchange=NOTIFICATION_EXCHANGE,
+            routing_key="notification.batch.#",
+            arguments={
+                "x-dead-letter-exchange": DEAD_LETTER_EXCHANGE.name,
+                "x-dead-letter-routing-key": "failed.batch",
+            },
+        ),
+        # Failed notifications queue
+        Queue(
+            name="failed_notifications",
+            exchange=DEAD_LETTER_EXCHANGE,
+            routing_key="failed.#",
+        ),
+    ]
+
+    return RabbitMQConfig(
+        exchanges=EXCHANGES,
+        queues=queues,
+    )
+
+
+def get_routing_key(event_type: NotificationType) -> str:
+    strategy = NotificationTypeOverride(event_type).strategy
+    """Get the appropriate routing key for an event"""
+    if strategy == QueueType.IMMEDIATE:
+        return f"notification.immediate.{event_type.value}"
+    elif strategy == QueueType.BACKOFF:
+        return f"notification.backoff.{event_type.value}"
+    elif strategy == QueueType.ADMIN:
+        return f"notification.admin.{event_type.value}"
+    elif strategy == QueueType.BATCH:
+        return f"notification.batch.{event_type.value}"
+    elif strategy == QueueType.SUMMARY:
+        return f"notification.summary.{event_type.value}"
+    return f"notification.{event_type.value}"
+
+
+def queue_notification(event: NotificationEventModel) -> NotificationResult:
+    """Queue a notification - exposed method for other services to call"""
+    try:
+        logger.debug(f"Received Request to queue {event=}")
+
+        exchange = "notifications"
+        routing_key = get_routing_key(event.type)
+
+        from backend.util.clients import get_notification_queue
+
+        queue = get_notification_queue()
+        queue.publish_message(
+            routing_key=routing_key,
+            message=event.model_dump_json(),
+            exchange=next(ex for ex in EXCHANGES if ex.name == exchange),
+        )
+
+        return NotificationResult(
+            success=True,
+            message=f"Notification queued with routing key: {routing_key}",
+        )
+
+    except Exception as e:
+        logger.exception(f"Error queueing notification: {e}")
+        return NotificationResult(success=False, message=str(e))
+
+
+async def queue_notification_async(event: NotificationEventModel) -> NotificationResult:
+    """Queue a notification - exposed method for other services to call"""
+    try:
+        logger.debug(f"Received Request to queue {event=}")
+
+        exchange = "notifications"
+        routing_key = get_routing_key(event.type)
+
+        from backend.util.clients import get_async_notification_queue
+
+        queue = await get_async_notification_queue()
+        await queue.publish_message(
+            routing_key=routing_key,
+            message=event.model_dump_json(),
+            exchange=next(ex for ex in EXCHANGES if ex.name == exchange),
+        )
+
+        return NotificationResult(
+            success=True,
+            message=f"Notification queued with routing key: {routing_key}",
+        )
+
+    except Exception as e:
+        logger.exception(f"Error queueing notification: {e}")
+        return NotificationResult(success=False, message=str(e))
+
+
+class NotificationManager(AppService):
+    """Service for handling notifications with batching support"""
+
+    def __init__(self):
+        super().__init__()
+        self.rabbitmq_config = create_notification_config()
+        self.running = True
+        self.email_sender = EmailSender()
+
+    @property
+    def rabbit(self) -> rabbitmq.AsyncRabbitMQ:
+        """Access the RabbitMQ service. Will raise if not configured."""
+        if not hasattr(self, "rabbitmq_service") or not self.rabbitmq_service:
+            raise UnhealthyServiceError("RabbitMQ not configured for this service")
+        return self.rabbitmq_service
+
+    @property
+    def rabbit_config(self) -> rabbitmq.RabbitMQConfig:
+        """Access the RabbitMQ config. Will raise if not configured."""
+        if not self.rabbitmq_config:
+            raise UnhealthyServiceError("RabbitMQ not configured for this service")
+        return self.rabbitmq_config
+
+    async def health_check(self) -> str:
+        # Service is unhealthy if RabbitMQ is not ready
+        if not hasattr(self, "rabbitmq_service") or not self.rabbitmq_service:
+            raise UnhealthyServiceError("RabbitMQ not configured for this service")
+        if not self.rabbitmq_service.is_ready:
+            raise UnhealthyServiceError("RabbitMQ channel is not ready")
+        return await super().health_check()
+
+    @classmethod
+    def get_port(cls) -> int:
+        return settings.config.notification_service_port
+
+    @expose
+    async def queue_weekly_summary(self):
+        # Use the existing event loop instead of creating a new one with asyncio.run()
+        asyncio.create_task(self._queue_weekly_summary())
+
+    async def _queue_weekly_summary(self):
+        """Process weekly summary for specified notification types"""
+        try:
+            logger.info("Processing weekly summary queuing operation")
+            processed_count = 0
+            current_time = datetime.now(tz=timezone.utc)
+            start_time = current_time - timedelta(days=7)
+            logger.info(
+                f"Querying for active users between {start_time} and {current_time}"
+            )
+            users = await get_database_manager_async_client().get_active_user_ids_in_timerange(
+                end_time=current_time.isoformat(),
+                start_time=start_time.isoformat(),
+            )
+            logger.info(f"Found {len(users)} active users in the last 7 days")
+            for user in users:
+                await self._queue_scheduled_notification(
+                    SummaryParamsEventModel(
+                        user_id=user,
+                        type=NotificationType.WEEKLY_SUMMARY,
+                        data=WeeklySummaryParams(
+                            start_date=start_time,
+                            end_date=current_time,
+                        ),
+                    ),
+                )
+                processed_count += 1
+
+            logger.info(f"Processed {processed_count} weekly summaries into queue")
+
+        except Exception as e:
+            logger.exception(f"Error processing weekly summary: {e}")
+
+    @expose
+    async def process_existing_batches(
+        self, notification_types: list[NotificationType]
+    ):
+        # Use the existing event loop instead of creating a new process
+        asyncio.create_task(self._process_existing_batches(notification_types))
+
+    async def _process_existing_batches(
+        self, notification_types: list[NotificationType]
+    ):
+        """Process existing batches for specified notification types"""
+        try:
+            processed_count = 0
+            current_time = datetime.now(tz=timezone.utc)
+
+            for notification_type in notification_types:
+                # Get all batches for this notification type
+                batches = (
+                    await get_database_manager_async_client().get_all_batches_by_type(
+                        notification_type
+                    )
+                )
+
+                for batch in batches:
+                    # Check if batch has aged out
+                    oldest_message = await get_database_manager_async_client().get_user_notification_oldest_message_in_batch(
+                        batch.user_id, notification_type
+                    )
+
+                    if not oldest_message:
+                        # this should never happen
+                        logger.error(
+                            f"Batch for user {batch.user_id} and type {notification_type} has no oldest message whichshould never happen!!!!!!!!!!!!!!!!"
+                        )
+                        continue
+
+                    max_delay = get_batch_delay(notification_type)
+
+                    # If batch has aged out, process it
+                    if oldest_message.created_at + max_delay < current_time:
+                        recipient_email = await get_database_manager_async_client().get_user_email_by_id(
+                            batch.user_id
+                        )
+
+                        if not recipient_email:
+                            logger.error(
+                                f"User email not found for user {batch.user_id}"
+                            )
+                            continue
+
+                        should_send = await self._should_email_user_based_on_preference(
+                            batch.user_id, notification_type
+                        )
+
+                        if not should_send:
+                            logger.debug(
+                                f"User {batch.user_id} does not want to receive {notification_type} notifications"
+                            )
+                            # Clear the batch
+                            await get_database_manager_async_client().empty_user_notification_batch(
+                                batch.user_id, notification_type
+                            )
+                            continue
+
+                        batch_data = await get_database_manager_async_client().get_user_notification_batch(
+                            batch.user_id, notification_type
+                        )
+
+                        if not batch_data or not batch_data.notifications:
+                            logger.error(
+                                f"Batch data not found for user {batch.user_id}"
+                            )
+                            # Clear the batch
+                            await get_database_manager_async_client().empty_user_notification_batch(
+                                batch.user_id, notification_type
+                            )
+                            continue
+
+                        unsub_link = generate_unsubscribe_link(batch.user_id)
+                        events = []
+                        for db_event in batch_data.notifications:
+                            try:
+                                events.append(
+                                    NotificationEventModel[
+                                        get_notif_data_type(db_event.type)
+                                    ].model_validate(
+                                        {
+                                            "user_id": batch.user_id,
+                                            "type": db_event.type,
+                                            "data": db_event.data,
+                                            "created_at": db_event.created_at,
+                                        }
+                                    )
+                                )
+                            except Exception as e:
+                                logger.error(
+                                    f"Error parsing notification event: {e=}, {db_event=}"
+                                )
+                                continue
+                        logger.info(f"{events=}")
+
+                        self.email_sender.send_templated(
+                            notification=notification_type,
+                            user_email=recipient_email,
+                            data=events,
+                            user_unsub_link=unsub_link,
+                        )
+
+                        # Clear the batch
+                        await get_database_manager_async_client().empty_user_notification_batch(
+                            batch.user_id, notification_type
+                        )
+
+                        processed_count += 1
+
+            logger.info(f"Processed {processed_count} aged batches")
+            return {
+                "success": True,
+                "processed_count": processed_count,
+                "notification_types": [nt.value for nt in notification_types],
+                "timestamp": current_time.isoformat(),
+            }
+
+        except Exception as e:
+            logger.exception(f"Error processing batches: {e}")
+            return {
+                "success": False,
+                "error": str(e),
+                "notification_types": [nt.value for nt in notification_types],
+                "timestamp": datetime.now(tz=timezone.utc).isoformat(),
+            }
+
+    @expose
+    async def discord_system_alert(
+        self, content: str, channel: DiscordChannel = DiscordChannel.PLATFORM
+    ):
+        await discord_send_alert(content, channel)
+
+    async def _queue_scheduled_notification(self, event: SummaryParamsEventModel):
+        """Queue a scheduled notification - exposed method for other services to call"""
+        try:
+            logger.info(
+                f"Queueing scheduled notification type={event.type} user_id={event.user_id}"
+            )
+
+            exchange = "notifications"
+            routing_key = get_routing_key(event.type)
+            logger.info(f"Using routing key: {routing_key}")
+
+            # Publish to RabbitMQ
+            await self.rabbit.publish_message(
+                routing_key=routing_key,
+                message=event.model_dump_json(),
+                exchange=next(ex for ex in EXCHANGES if ex.name == exchange),
+            )
+            logger.info(f"Successfully queued notification for user {event.user_id}")
+
+        except Exception as e:
+            logger.exception(f"Error queueing notification: {e}")
+
+    async def _should_email_user_based_on_preference(
+        self, user_id: str, event_type: NotificationType
+    ) -> bool:
+        """Check if a user wants to receive a notification based on their preferences and email verification status"""
+        validated_email = (
+            await get_database_manager_async_client().get_user_email_verification(
+                user_id
+            )
+        )
+        preference = (
+            await get_database_manager_async_client().get_user_notification_preference(
+                user_id
+            )
+        ).preferences.get(event_type, True)
+        # only if both are true, should we email this person
+        return validated_email and preference
+
+    async def _gather_summary_data(
+        self, user_id: str, event_type: NotificationType, params: BaseSummaryParams
+    ) -> BaseSummaryData:
+        """Gathers the data to build a summary notification"""
+
+        logger.info(
+            f"Gathering summary data for {user_id} and {event_type} with {params=}"
+        )
+
+        try:
+            # Get summary data from the database
+            summary_data = await get_database_manager_async_client().get_user_execution_summary_data(
+                user_id=user_id,
+                start_time=params.start_date,
+                end_time=params.end_date,
+            )
+
+            # Extract data from summary
+            total_credits_used = summary_data.total_credits_used
+            total_executions = summary_data.total_executions
+            most_used_agent = summary_data.most_used_agent
+            successful_runs = summary_data.successful_runs
+            failed_runs = summary_data.failed_runs
+            total_execution_time = summary_data.total_execution_time
+            average_execution_time = summary_data.average_execution_time
+            cost_breakdown = summary_data.cost_breakdown
+
+            if event_type == NotificationType.DAILY_SUMMARY and isinstance(
+                params, DailySummaryParams
+            ):
+                return DailySummaryData(
+                    total_credits_used=total_credits_used,
+                    total_executions=total_executions,
+                    most_used_agent=most_used_agent,
+                    total_execution_time=total_execution_time,
+                    successful_runs=successful_runs,
+                    failed_runs=failed_runs,
+                    average_execution_time=average_execution_time,
+                    cost_breakdown=cost_breakdown,
+                    date=params.date,
+                )
+            elif event_type == NotificationType.WEEKLY_SUMMARY and isinstance(
+                params, WeeklySummaryParams
+            ):
+                return WeeklySummaryData(
+                    total_credits_used=total_credits_used,
+                    total_executions=total_executions,
+                    most_used_agent=most_used_agent,
+                    total_execution_time=total_execution_time,
+                    successful_runs=successful_runs,
+                    failed_runs=failed_runs,
+                    average_execution_time=average_execution_time,
+                    cost_breakdown=cost_breakdown,
+                    start_date=params.start_date,
+                    end_date=params.end_date,
+                )
+            else:
+                raise ValueError("Invalid event type or params")
+
+        except Exception as e:
+            logger.error(f"Failed to gather summary data: {e}")
+            # Return sensible defaults in case of error
+            if event_type == NotificationType.DAILY_SUMMARY and isinstance(
+                params, DailySummaryParams
+            ):
+                return DailySummaryData(
+                    total_credits_used=0.0,
+                    total_executions=0,
+                    most_used_agent="No data available",
+                    total_execution_time=0.0,
+                    successful_runs=0,
+                    failed_runs=0,
+                    average_execution_time=0.0,
+                    cost_breakdown={},
+                    date=params.date,
+                )
+            elif event_type == NotificationType.WEEKLY_SUMMARY and isinstance(
+                params, WeeklySummaryParams
+            ):
+                return WeeklySummaryData(
+                    total_credits_used=0.0,
+                    total_executions=0,
+                    most_used_agent="No data available",
+                    total_execution_time=0.0,
+                    successful_runs=0,
+                    failed_runs=0,
+                    average_execution_time=0.0,
+                    cost_breakdown={},
+                    start_date=params.start_date,
+                    end_date=params.end_date,
+                )
+            else:
+                raise ValueError("Invalid event type or params") from e
+
+    async def _should_batch(
+        self, user_id: str, event_type: NotificationType, event: NotificationEventModel
+    ) -> bool:
+
+        await get_database_manager_async_client().create_or_add_to_user_notification_batch(
+            user_id, event_type, event
+        )
+
+        oldest_message = await get_database_manager_async_client().get_user_notification_oldest_message_in_batch(
+            user_id, event_type
+        )
+        if not oldest_message:
+            logger.error(
+                f"Batch for user {user_id} and type {event_type} has no oldest message whichshould never happen!!!!!!!!!!!!!!!!"
+            )
+            return False
+        oldest_age = oldest_message.created_at
+
+        max_delay = get_batch_delay(event_type)
+
+        if oldest_age + max_delay < datetime.now(tz=timezone.utc):
+            logger.info(f"Batch for user {user_id} and type {event_type} is old enough")
+            return True
+        logger.info(
+            f"Batch for user {user_id} and type {event_type} is not old enough: {oldest_age + max_delay} < {datetime.now(tz=timezone.utc)} max_delay={max_delay}"
+        )
+        return False
+
+    def _parse_message(self, message: str) -> NotificationEventModel | None:
+        try:
+            event = BaseEventModel.model_validate_json(message)
+            return NotificationEventModel[
+                get_notif_data_type(event.type)
+            ].model_validate_json(message)
+        except Exception as e:
+            logger.error(f"Error parsing message due to non matching schema {e}")
+            return None
+
+    async def _process_admin_message(self, message: str) -> bool:
+        """Process a single notification, sending to an admin, returning whether to put into the failed queue"""
+        try:
+            event = self._parse_message(message)
+            if not event:
+                return False
+            logger.debug(f"Processing notification for admin: {event}")
+            recipient_email = settings.config.refund_notification_email
+            self.email_sender.send_templated(event.type, recipient_email, event)
+            return True
+        except Exception as e:
+            logger.exception(f"Error processing notification for admin queue: {e}")
+            return False
+
+    async def _process_immediate(self, message: str) -> bool:
+        """Process a single notification immediately, returning whether to put into the failed queue"""
+        try:
+            event = self._parse_message(message)
+            if not event:
+                return False
+            logger.debug(f"Processing immediate notification: {event}")
+
+            recipient_email = (
+                await get_database_manager_async_client().get_user_email_by_id(
+                    event.user_id
+                )
+            )
+            if not recipient_email:
+                logger.error(f"User email not found for user {event.user_id}")
+                return False
+
+            should_send = await self._should_email_user_based_on_preference(
+                event.user_id, event.type
+            )
+            if not should_send:
+                logger.debug(
+                    f"User {event.user_id} does not want to receive {event.type} notifications"
+                )
+                return True
+
+            unsub_link = generate_unsubscribe_link(event.user_id)
+
+            self.email_sender.send_templated(
+                notification=event.type,
+                user_email=recipient_email,
+                data=event,
+                user_unsub_link=unsub_link,
+            )
+            return True
+        except Exception as e:
+            logger.exception(f"Error processing notification for immediate queue: {e}")
+            return False
+
+    async def _process_batch(self, message: str) -> bool:
+        """Process a single notification with a batching strategy, returning whether to put into the failed queue"""
+        try:
+            event = self._parse_message(message)
+            if not event:
+                return False
+            logger.info(f"Processing batch notification: {event}")
+
+            recipient_email = (
+                await get_database_manager_async_client().get_user_email_by_id(
+                    event.user_id
+                )
+            )
+            if not recipient_email:
+                logger.error(f"User email not found for user {event.user_id}")
+                return False
+
+            should_send = await self._should_email_user_based_on_preference(
+                event.user_id, event.type
+            )
+            if not should_send:
+                logger.info(
+                    f"User {event.user_id} does not want to receive {event.type} notifications"
+                )
+                return True
+
+            should_send = await self._should_batch(event.user_id, event.type, event)
+
+            if not should_send:
+                logger.info("Batch not old enough to send")
+                return False
+            batch = (
+                await get_database_manager_async_client().get_user_notification_batch(
+                    event.user_id, event.type
+                )
+            )
+            if not batch or not batch.notifications:
+                logger.error(f"Batch not found for user {event.user_id}")
+                return False
+            unsub_link = generate_unsubscribe_link(event.user_id)
+
+            batch_messages = [
+                NotificationEventModel[
+                    get_notif_data_type(db_event.type)
+                ].model_validate(
+                    {
+                        "user_id": event.user_id,
+                        "type": db_event.type,
+                        "data": db_event.data,
+                        "created_at": db_event.created_at,
+                    }
+                )
+                for db_event in batch.notifications
+            ]
+
+            # Split batch into chunks to avoid exceeding email size limits
+            # Start with a reasonable chunk size and adjust dynamically
+            MAX_EMAIL_SIZE = 4_500_000  # 4.5MB to leave buffer under 5MB limit
+            chunk_size = 100  # Initial chunk size
+            successfully_sent_count = 0
+            failed_indices = []
+
+            i = 0
+            while i < len(batch_messages):
+                # Try progressively smaller chunks if needed
+                chunk_sent = False
+                for attempt_size in [chunk_size, 50, 25, 10, 5, 1]:
+                    chunk = batch_messages[i : i + attempt_size]
+
+                    try:
+                        # Try to render the email to check its size
+                        template = self.email_sender._get_template(event.type)
+                        _, test_message = self.email_sender.formatter.format_email(
+                            base_template=template.base_template,
+                            subject_template=template.subject_template,
+                            content_template=template.body_template,
+                            data={"notifications": chunk},
+                            unsubscribe_link=f"{self.email_sender.formatter.env.globals.get('base_url', '')}/profile/settings",
+                        )
+
+                        if len(test_message) < MAX_EMAIL_SIZE:
+                            # Size is acceptable, send the email
+                            logger.info(
+                                f"Sending email with {len(chunk)} notifications "
+                                f"(size: {len(test_message):,} chars)"
+                            )
+
+                            self.email_sender.send_templated(
+                                notification=event.type,
+                                user_email=recipient_email,
+                                data=chunk,
+                                user_unsub_link=unsub_link,
+                            )
+
+                            # Track successful sends
+                            successfully_sent_count += len(chunk)
+
+                            # Update chunk_size for next iteration based on success
+                            if (
+                                attempt_size == chunk_size
+                                and len(test_message) < MAX_EMAIL_SIZE * 0.7
+                            ):
+                                # If we're well under limit, try larger chunks next time
+                                chunk_size = min(chunk_size + 10, 100)
+                            elif len(test_message) > MAX_EMAIL_SIZE * 0.9:
+                                # If we're close to limit, use smaller chunks
+                                chunk_size = max(attempt_size - 10, 1)
+
+                            i += len(chunk)
+                            chunk_sent = True
+                            break
+                    except Exception as e:
+                        if attempt_size == 1:
+                            # Even single notification is too large
+                            logger.error(
+                                f"Single notification too large to send: {e}. "
+                                f"Skipping notification at index {i}"
+                            )
+                            failed_indices.append(i)
+                            i += 1
+                            chunk_sent = True
+                            break
+                        # Try smaller chunk
+                        continue
+
+                if not chunk_sent:
+                    # Should not reach here due to single notification handling
+                    logger.error(f"Failed to send notifications starting at index {i}")
+                    failed_indices.append(i)
+                    i += 1
+
+            # Only empty the batch if ALL notifications were sent successfully
+            if successfully_sent_count == len(batch_messages):
+                logger.info(
+                    f"Successfully sent all {successfully_sent_count} notifications, clearing batch"
+                )
+                await get_database_manager_async_client().empty_user_notification_batch(
+                    event.user_id, event.type
+                )
+            else:
+                logger.warning(
+                    f"Only sent {successfully_sent_count} of {len(batch_messages)} notifications. "
+                    f"Failed indices: {failed_indices}. Batch will be retained for retry."
+                )
+            return True
+        except Exception as e:
+            logger.exception(f"Error processing notification for batch queue: {e}")
+            return False
+
+    async def _process_summary(self, message: str) -> bool:
+        """Process a single notification with a summary strategy, returning whether to put into the failed queue"""
+        try:
+            logger.info(f"Processing summary notification: {message}")
+            event = BaseEventModel.model_validate_json(message)
+            model = SummaryParamsEventModel[
+                get_summary_params_type(event.type)
+            ].model_validate_json(message)
+
+            logger.info(f"Processing summary notification: {model}")
+
+            recipient_email = (
+                await get_database_manager_async_client().get_user_email_by_id(
+                    event.user_id
+                )
+            )
+            if not recipient_email:
+                logger.error(f"User email not found for user {event.user_id}")
+                return False
+            should_send = await self._should_email_user_based_on_preference(
+                event.user_id, event.type
+            )
+            if not should_send:
+                logger.info(
+                    f"User {event.user_id} does not want to receive {event.type} notifications"
+                )
+                return True
+
+            summary_data = await self._gather_summary_data(
+                event.user_id, event.type, model.data
+            )
+
+            unsub_link = generate_unsubscribe_link(event.user_id)
+
+            data = NotificationEventModel(
+                user_id=event.user_id,
+                type=event.type,
+                data=summary_data,
+            )
+
+            self.email_sender.send_templated(
+                notification=event.type,
+                user_email=recipient_email,
+                data=data,
+                user_unsub_link=unsub_link,
+            )
+            return True
+        except Exception as e:
+            logger.exception(f"Error processing notification for summary queue: {e}")
+            return False
+
+    async def _consume_queue(
+        self,
+        queue: aio_pika.abc.AbstractQueue,
+        process_func: Callable[[str], Awaitable[bool]],
+        queue_name: str,
+    ):
+        """Continuously consume messages from a queue using async iteration"""
+        logger.info(f"Starting consumer for queue: {queue_name}")
+
+        try:
+            async with queue.iterator() as queue_iter:
+                async for message in queue_iter:
+                    if not self.running:
+                        break
+
+                    try:
+                        async with message.process():
+                            result = await process_func(message.body.decode())
+                            if not result:
+                                # Message will be rejected when exiting context without exception
+                                raise aio_pika.exceptions.MessageProcessError(
+                                    "Processing failed"
+                                )
+                    except aio_pika.exceptions.MessageProcessError:
+                        # Let message.process() handle the rejection
+                        pass
+                    except Exception as e:
+                        logger.error(f"Error processing message in {queue_name}: {e}")
+                        # Let message.process() handle the rejection
+                        raise
+        except asyncio.CancelledError:
+            logger.info(f"Consumer for {queue_name} cancelled")
+            raise
+        except Exception as e:
+            logger.exception(f"Fatal error in consumer for {queue_name}: {e}")
+            raise
+
+    @continuous_retry()
+    def run_service(self):
+        self.run_and_wait(self._run_service())
+
+    async def _run_service(self):
+        logger.info(f"[{self.service_name}] ⏳ Configuring RabbitMQ...")
+        self.rabbitmq_service = rabbitmq.AsyncRabbitMQ(self.rabbitmq_config)
+        await self.rabbitmq_service.connect()
+
+        logger.info(f"[{self.service_name}] Started notification service")
+
+        # Set up queue consumers with QoS settings
+        channel = await self.rabbit.get_channel()
+
+        # Set prefetch to prevent overwhelming the service
+        await channel.set_qos(prefetch_count=10)
+
+        immediate_queue = await channel.get_queue("immediate_notifications")
+        batch_queue = await channel.get_queue("batch_notifications")
+        admin_queue = await channel.get_queue("admin_notifications")
+        summary_queue = await channel.get_queue("summary_notifications")
+
+        # Create consumer tasks for each queue - running in parallel
+        consumer_tasks = [
+            asyncio.create_task(
+                self._consume_queue(
+                    queue=immediate_queue,
+                    process_func=self._process_immediate,
+                    queue_name="immediate_notifications",
+                )
+            ),
+            asyncio.create_task(
+                self._consume_queue(
+                    queue=admin_queue,
+                    process_func=self._process_admin_message,
+                    queue_name="admin_notifications",
+                )
+            ),
+            asyncio.create_task(
+                self._consume_queue(
+                    queue=batch_queue,
+                    process_func=self._process_batch,
+                    queue_name="batch_notifications",
+                )
+            ),
+            asyncio.create_task(
+                self._consume_queue(
+                    queue=summary_queue,
+                    process_func=self._process_summary,
+                    queue_name="summary_notifications",
+                )
+            ),
+        ]
+
+        try:
+            # Run all consumers concurrently
+            await asyncio.gather(*consumer_tasks)
+        except asyncio.CancelledError:
+            logger.info("Service shutdown requested")
+            # Cancel all consumer tasks
+            for task in consumer_tasks:
+                task.cancel()
+            # Wait for all tasks to complete cancellation
+            await asyncio.gather(*consumer_tasks, return_exceptions=True)
+            raise
+
+    def cleanup(self):
+        """Cleanup service resources"""
+        self.running = False
+        super().cleanup()
+        logger.info(f"[{self.service_name}] ⏳ Disconnecting RabbitMQ...")
+        self.run_and_wait(self.rabbitmq_service.disconnect())
+
+
+class NotificationManagerClient(AppServiceClient):
+    @classmethod
+    def get_service_type(cls):
+        return NotificationManager
+
+    process_existing_batches = endpoint_to_sync(
+        NotificationManager.process_existing_batches
+    )
+    queue_weekly_summary = endpoint_to_sync(NotificationManager.queue_weekly_summary)
+    discord_system_alert = endpoint_to_sync(NotificationManager.discord_system_alert)
diff --git a/autogpt_platform/backend/backend/notifications/templates/agent_approved.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/agent_approved.html.jinja2
new file mode 100644
index 000000000000..14ca59158069
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/agent_approved.html.jinja2
@@ -0,0 +1,73 @@
+{# Agent Approved Notification Email Template #}
+{#
+  Template variables:
+  data.agent_name: the name of the approved agent
+  data.agent_id: the ID of the agent
+  data.agent_version: the version of the agent
+  data.reviewer_name: the name of the reviewer who approved it
+  data.reviewer_email: the email of the reviewer
+  data.comments: comments from the reviewer
+  data.reviewed_at: when the agent was reviewed
+  data.store_url: URL to view the agent in the store
+
+  Subject: 🎉 Your agent '{{ data.agent_name }}' has been approved!
+#}
+
+{% block content %}
+<h1 style="color: #28a745; font-size: 32px; font-weight: 700; margin: 0 0 24px 0; text-align: center;">
+  🎉 Congratulations!
+</h1>
+
+<p style="color: #586069; font-size: 18px; text-align: center; margin: 0 0 24px 0;">
+  Your agent <strong>'{{ data.agent_name }}'</strong> has been approved and is now live in the store!
+</p>
+
+<div style="height: 32px; background: transparent;"></div>
+
+{% if data.comments %}
+<div style="background: #d4edda; border: 1px solid #c3e6cb; border-radius: 8px; padding: 20px; margin: 0;">
+  <h3 style="color: #155724; font-size: 16px; font-weight: 600; margin: 0 0 12px 0;">
+    💬 Creator feedback area
+  </h3>
+  <p style="color: #155724; margin: 0; font-size: 16px; line-height: 1.5;">
+    {{ data.comments }}
+  </p>
+</div>
+
+<div style="height: 40px; background: transparent;"></div>
+{% endif %}
+
+<div style="background: #d1ecf1; border: 1px solid #bee5eb; border-radius: 8px; padding: 20px; margin: 0;">
+  <h3 style="color: #0c5460; font-size: 16px; font-weight: 600; margin: 0 0 12px 0;">
+    What's Next?
+  </h3>
+  <ul style="color: #0c5460; margin: 0; padding-left: 18px; font-size: 16px; line-height: 1.6;">
+    <li>Your agent is now live and discoverable in the AutoGPT Store</li>
+    <li>Users can find, install, and run your agent</li>
+    <li>You can update your agent anytime by submitting a new version</li>
+  </ul>
+</div>
+
+<div style="height: 32px; background: transparent;"></div>
+
+<div style="text-align: center; margin: 24px 0;">
+  <a href="{{ data.store_url }}" style="display: inline-block; background: linear-gradient(135deg, #7c3aed 0%, #5b21b6 100%); color: black; text-decoration: none; padding: 14px 28px; border-radius: 6px; font-weight: 600; font-size: 16px;">
+    View Your Agent in Store
+  </a>
+</div>
+
+<div style="height: 32px; background: transparent;"></div>
+
+<div style="background: #fff3cd; border: 1px solid #ffeaa7; border-radius: 6px; padding: 16px; margin: 24px 0; text-align: center;">
+  <p style="margin: 0; color: #856404; font-size: 14px;">
+    <strong>💡 Pro Tip:</strong> Share your agent with the community! Post about it on social media, forums, or your blog to help more users discover and benefit from your creation.
+  </p>
+</div>
+
+<div style="height: 32px; background: transparent;"></div>
+
+<p style="color: #6a737d; font-size: 14px; text-align: center; margin: 24px 0;">
+  Thank you for contributing to the AutoGPT ecosystem! 🚀
+</p>
+
+{% endblock %}
\ No newline at end of file
diff --git a/autogpt_platform/backend/backend/notifications/templates/agent_rejected.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/agent_rejected.html.jinja2
new file mode 100644
index 000000000000..69a808190024
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/agent_rejected.html.jinja2
@@ -0,0 +1,77 @@
+{# Agent Rejected Notification Email Template #}
+{#
+  Template variables:
+  data.agent_name: the name of the rejected agent
+  data.agent_id: the ID of the agent
+  data.agent_version: the version of the agent
+  data.reviewer_name: the name of the reviewer who rejected it
+  data.reviewer_email: the email of the reviewer
+  data.comments: comments from the reviewer explaining the rejection
+  data.reviewed_at: when the agent was reviewed
+  data.resubmit_url: URL to resubmit the agent
+
+  Subject: Your agent '{{ data.agent_name }}' needs some updates
+#}
+
+
+{% block content %}
+<h1 style="color: #d73a49; font-size: 32px; font-weight: 700; margin: 0 0 24px 0; text-align: center;">
+  📝 Review Complete
+</h1>
+
+<p style="color: #586069; font-size: 18px; text-align: center; margin: 0 0 24px 0;">
+  Your agent <strong>'{{ data.agent_name }}'</strong> needs some updates before approval.
+</p>
+
+<div style="height: 32px; background: transparent;"></div>
+
+<div style="background: #f8d7da; border: 1px solid #f5c6cb; border-radius: 8px; padding: 20px; margin: 0 0 24px 0;">
+  <h3 style="color: #721c24; font-size: 16px; font-weight: 600; margin: 0 0 12px 0;">
+    💬 Creator feedback area
+  </h3>
+  <p style="color: #721c24; margin: 0; font-size: 16px; line-height: 1.5;">
+    {{ data.comments }}
+  </p>
+</div>
+
+<div style="height: 40px; background: transparent;"></div>
+
+<div style="background: #d4edda; border: 1px solid #c3e6cb; border-radius: 8px; padding: 20px; margin: 0 0 24px 0;">
+  <h3 style="color: #155724; font-size: 16px; font-weight: 600; margin: 0 0 12px 0;">
+    ☑ Steps to Resubmit:
+  </h3>
+  <ul style="color: #155724; margin: 0; padding-left: 18px; font-size: 16px; line-height: 1.6;">
+    <li>Review the feedback provided above carefully</li>
+    <li>Make the necessary updates to your agent</li>
+    <li>Test your agent thoroughly to ensure it works as expected</li>
+    <li>Submit your updated agent for review</li>
+  </ul>
+</div>
+
+<div style="height: 32px; background: transparent;"></div>
+
+<div style="background: #fff3cd; border: 1px solid #ffeaa7; border-radius: 6px; padding: 12px; margin: 0 0 24px 0; text-align: center;">
+  <p style="margin: 0; color: #856404; font-size: 14px;">
+    <strong>💡 Tip:</strong> Address all the points mentioned in the feedback to increase your chances of approval in the next review.
+  </p>
+</div>
+
+<div style="text-align: center; margin: 32px 0;">
+  <a href="{{ data.resubmit_url }}" style="display: inline-block; background: linear-gradient(135deg, #7c3aed 0%, #5b21b6 100%); color: black; text-decoration: none; padding: 14px 28px; border-radius: 6px; font-weight: 600; font-size: 16px;">
+    Update & Resubmit Agent
+  </a>
+</div>
+
+<div style="background: #d1ecf1; border: 1px solid #bee5eb; border-radius: 6px; padding: 16px; margin: 24px 0;">
+  <p style="margin: 0; color: #0c5460; font-size: 14px; text-align: center;">
+    <strong>🌟 Don't Give Up!</strong> Many successful agents go through multiple iterations before approval. Our review team is here to help you succeed!
+  </p>
+</div>
+
+<div style="height: 32px; background: transparent;"></div>
+
+<p style="color: #6a737d; font-size: 14px; text-align: center; margin: 32px 0 24px 0;">
+  We're excited to see your improved agent submission! 🚀
+</p>
+
+{% endblock %}
\ No newline at end of file
diff --git a/autogpt_platform/backend/backend/notifications/templates/agent_run.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/agent_run.html.jinja2
new file mode 100644
index 000000000000..043e33aed145
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/agent_run.html.jinja2
@@ -0,0 +1,142 @@
+{# Agent Run #}
+{# Template variables:
+notification.data: the stuff below but a list of them
+data.agent_name: the name of the agent
+data.credits_used: the number of credits used by the agent
+data.node_count: the number of nodes the agent ran on
+data.execution_time: the time it took to run the agent
+data.graph_id: the id of the graph the agent ran on
+data.outputs: the list of outputs of the agent
+#}
+{% if notifications is defined %}
+  {# BATCH MODE #}
+  <div style="font-family: 'Poppins', sans-serif; color: #070629;">
+    <h2 style="color: #5D23BB; margin-bottom: 15px;">Agent Run Summary</h2>
+    <p style="font-size: 16px; line-height: 165%; margin-top: 0; margin-bottom: 15px;">
+      <strong>{{ notifications|length }}</strong> agent runs have completed!
+    </p>
+    
+    {# Calculate summary stats #}
+    {% set total_time = 0 %}
+    {% set total_nodes = 0 %}
+    {% set total_credits = 0 %}
+    {% set agent_names = [] %}
+    
+    {% for notification in notifications %}
+      {% set total_time = total_time + notification.data.execution_time %}
+      {% set total_nodes = total_nodes + notification.data.node_count %}
+      {% set total_credits = total_credits + notification.data.credits_used %}
+      {% if notification.data.agent_name not in agent_names %}
+        {% set agent_names = agent_names + [notification.data.agent_name] %}
+      {% endif %}
+    {% endfor %}
+    
+    <div style="background-color: #f8f7ff; border-radius: 8px; padding: 15px; margin-bottom: 25px;">
+      <h3 style="margin-top: 0; margin-bottom: 10px; color: #5D23BB;">Summary</h3>
+      <p style="margin: 5px 0;"><strong>Agents:</strong> {{ agent_names|join(", ") }}</p>
+      <p style="margin: 5px 0;"><strong>Total Time:</strong> {{ total_time | int }} seconds</p>
+      <p style="margin: 5px 0;"><strong>Total Nodes:</strong> {{ total_nodes }}</p>
+      <p style="margin: 5px 0;"><strong>Total Cost:</strong> ${{ "{:.2f}".format((total_credits|float)/100) }}</p>
+    </div>
+    
+    <h3 style="margin-top: 25px; margin-bottom: 15px; color: #5D23BB;">Individual Runs</h3>
+    
+    {% for notification in notifications %}
+      <div style="margin-bottom: 30px; border-left: 3px solid #5D23BB; padding-left: 15px;">
+        <p style="font-size: 16px; font-weight: 600; margin-top: 0; margin-bottom: 10px;">
+          Agent: <strong>{{ notification.data.agent_name }}</strong>
+        </p>
+        
+        <div style="margin-left: 10px;">
+          <p style="margin: 5px 0;"><strong>Time:</strong> {{ notification.data.execution_time | int }} seconds</p>
+          <p style="margin: 5px 0;"><strong>Nodes:</strong> {{ notification.data.node_count }}</p>
+          <p style="margin: 5px 0;"><strong>Cost:</strong> ${{ "{:.2f}".format((notification.data.credits_used|float)/100) }}</p>
+        </div>
+        
+        {% if notification.data.outputs and notification.data.outputs|length > 0 %}
+        <div style="margin-left: 10px; margin-top: 15px;">
+          <p style="font-weight: 600; margin-bottom: 10px;">Results:</p>
+          
+          {% for output in notification.data.outputs %}
+          <div style="margin-left: 10px; margin-bottom: 12px;">
+            <p style="color: #5D23BB; font-weight: 500; margin-top: 0; margin-bottom: 5px;">
+              {{ output.name }}
+            </p>
+            
+            {% for key, value in output.items() %}
+              {% if key != 'name' %}
+              <div style="margin-left: 10px; background-color: #f5f5ff; padding: 8px 12px; border-radius: 4px; 
+                          font-family: 'Roboto Mono', monospace; white-space: pre-wrap; word-break: break-word; 
+                          overflow-wrap: break-word; max-width: 100%; overflow-x: auto; margin-top: 3px; 
+                          margin-bottom: 8px; line-height: 1.4;">
+              {% if value is iterable and value is not string %}
+                {% if value|length == 1 %}
+                  {{ value[0] }}
+                {% else %}
+                  [{% for item in value %}{{ item }}{% if not loop.last %}, {% endif %}{% endfor %}]
+                {% endif %}
+              {% else %}
+                {{ value }}
+              {% endif %}
+              </div>
+              {% endif %}
+            {% endfor %}
+          </div>
+          {% endfor %}
+        </div>
+        {% endif %}
+      </div>
+    {% endfor %}
+  </div>
+
+{% else %}
+  {# SINGLE NOTIFICATION MODE - Original template #}
+  <p style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 16px; line-height: 165%; 
+            margin-top: 0; margin-bottom: 10px;">
+    Your agent, <strong>{{ data.agent_name }}</strong>, has completed its run!
+  </p>
+  
+  <p style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 16px; line-height: 165%; 
+            margin-top: 0; margin-bottom: 20px; padding-left: 20px;">
+    <p style="margin-bottom: 10px;"><strong>Time Taken:</strong> {{ data.execution_time | int }} seconds</p>
+    <p style="margin-bottom: 10px;"><strong>Nodes Used:</strong> {{ data.node_count }}</p>
+    <p style="margin-bottom: 10px;"><strong>Cost:</strong> ${{ "{:.2f}".format((data.credits_used|float)/100) }}</p>
+  </p>
+  
+  {% if data.outputs and data.outputs|length > 0 %}
+  <div style="margin-left: 15px; margin-bottom: 20px;">
+    <p style="font-family: 'Poppins', sans-serif; color: #070629; font-weight: 600; 
+              font-size: 16px; margin-bottom: 10px;">
+      Results:
+    </p>
+  
+    {% for output in data.outputs %}
+    <div style="margin-left: 15px; margin-bottom: 15px;">
+      <p style="font-family: 'Poppins', sans-serif; color: #5D23BB; font-weight: 500; 
+                font-size: 16px; margin-top: 0; margin-bottom: 8px;">
+        {{ output.name }}
+      </p>
+      
+      {% for key, value in output.items() %}
+        {% if key != 'name' %}
+        <div style="margin-left: 15px; background-color: #f5f5ff; padding: 8px 12px; border-radius: 4px; 
+                    font-family: 'Roboto Mono', monospace; white-space: pre-wrap; word-break: break-word; 
+                    overflow-wrap: break-word; max-width: 100%; overflow-x: auto; margin-top: 5px; 
+                    margin-bottom: 10px; line-height: 1.4;">
+        {% if value is iterable and value is not string %}
+          {% if value|length == 1 %}
+            {{ value[0] }}
+          {% else %}
+            [{% for item in value %}{{ item }}{% if not loop.last %}, {% endif %}{% endfor %}]
+          {% endif %}
+        {% else %}
+          {{ value }}
+        {% endif %}
+        </div>
+        {% endif %}
+      {% endfor %}
+    </div>
+    {% endfor %}
+  </div>
+  {% endif %}
+{% endif %}
diff --git a/autogpt_platform/backend/backend/notifications/templates/base.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/base.html.jinja2
new file mode 100644
index 000000000000..3e5ddf22ff1e
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/base.html.jinja2
@@ -0,0 +1,343 @@
+{# Base Template #}
+{# Template variables:
+    data.message: the message to display in the email
+    data.title: the title of the email
+    data.unsubscribe_link: the link to unsubscribe from the email
+#}
+<!doctype html>
+<html lang="ltr" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office">
+
+<head>
+  <meta charset="utf-8">
+  <meta http-equiv="X-UA-Compatible" content="IE=edge">
+  <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=yes">
+  <meta name="format-detection" content="telephone=no, date=no, address=no, email=no, url=no">
+  <meta name="x-apple-disable-message-reformatting">
+  <!--[if !mso]>
+    <meta http-equiv="X-UA-Compatible" content="IE=edge">
+    <![endif]-->
+  <!--[if mso]>
+    <style>
+        * { font-family: sans-serif !important; }
+    </style>
+    <noscript>
+        <xml>
+            <o:OfficeDocumentSettings>
+                <o:PixelsPerInch>96</o:PixelsPerInch>
+            </o:OfficeDocumentSettings>
+        </xml>
+    </noscript>
+    <![endif]-->
+  <style type="text/css">
+    /* RESET STYLES */
+    html,
+    body {
+      margin: 0 !important;
+      padding: 0 !important;
+      width: 100% !important;
+      height: 100% !important;
+    }
+
+    body {
+      -webkit-font-smoothing: antialiased;
+      -moz-osx-font-smoothing: grayscale;
+      text-rendering: optimizeLegibility;
+    }
+
+    .document {
+      margin: 0 !important;
+      padding: 0 !important;
+      width: 100% !important;
+    }
+
+    img {
+      border: 0;
+      outline: none;
+      text-decoration: none;
+      -ms-interpolation-mode: bicubic;
+    }
+
+    table {
+      border-collapse: collapse;
+    }
+
+    table,
+    td {
+      mso-table-lspace: 0pt;
+      mso-table-rspace: 0pt;
+    }
+
+    body,
+    table,
+    td,
+    a {
+      -webkit-text-size-adjust: 100%;
+      -ms-text-size-adjust: 100%;
+    }
+
+    h1,
+    h2,
+    h3,
+    h4,
+    h5,
+    p {
+      margin: 0;
+      word-break: break-word;
+    }
+
+    /* iOS BLUE LINKS */
+    a[x-apple-data-detectors] {
+      color: inherit !important;
+      text-decoration: none !important;
+      font-size: inherit !important;
+      font-family: inherit !important;
+      font-weight: inherit !important;
+      line-height: inherit !important;
+    }
+
+    /* ANDROID CENTER FIX */
+    div[style*="margin: 16px 0;"] {
+      margin: 0 !important;
+    }
+
+    /* MEDIA QUERIES */
+    @media all and (max-width:639px) {
+      .wrapper {
+        width: 100% !important;
+      }
+
+      .container {
+        width: 100% !important;
+        min-width: 100% !important;
+        padding: 0 !important;
+      }
+
+      .row {
+        padding-left: 20px !important;
+        padding-right: 20px !important;
+      }
+
+      .col-mobile {
+        width: 20px !important;
+      }
+
+      .col {
+        display: block !important;
+        width: 100% !important;
+      }
+
+      .mobile-center {
+        text-align: center !important;
+        float: none !important;
+      }
+
+      .mobile-mx-auto {
+        margin: 0 auto !important;
+        float: none !important;
+      }
+
+      .mobile-left {
+        text-align: center !important;
+        float: left !important;
+      }
+
+      .mobile-hide {
+        display: none !important;
+      }
+
+      .img {
+        width: 100% !important;
+        height: auto !important;
+      }
+
+      .ml-btn {
+        width: 100% !important;
+        max-width: 100% !important;
+      }
+
+      .ml-btn-container {
+        width: 100% !important;
+        max-width: 100% !important;
+      }
+    }
+  </style>
+  <style type="text/css">
+    @import url("https://assets.mlcdn.com/fonts-v2.css?version=1729862");
+  </style>
+  <style type="text/css">
+    @media screen {
+      body {
+        font-family: 'Poppins', sans-serif;
+      }
+    }
+  </style>
+  <title>{{data.title}}</title>
+</head>
+
+<body style="margin: 0 !important; padding: 0 !important; background-color:#070629;">
+  <div class="document" role="article" aria-roledescription="email" aria-label lang dir="ltr"
+    style="background-color:#070629; line-height: 100%; font-size:medium; font-size:max(16px, 1rem);">
+    <!-- Main Content -->
+    <table width="100%" align="center" cellspacing="0" cellpadding="0" border="0">
+      <tr>
+        <td class="background" bgcolor="#070629" align="center" valign="top" style="padding: 0 8px;">
+          <!-- Email Content -->
+          <table class="container" align="center" width="640" cellpadding="0" cellspacing="0" border="0"
+            style="max-width: 640px;">
+            <tr>
+              <td align="center">
+                <!-- Logo Section -->
+                <table class="container ml-4 ml-default-border" width="640" bgcolor="#E2ECFD" align="center" border="0"
+                  cellspacing="0" cellpadding="0" style="width: 640px; min-width: 640px;">
+                  <tr>
+                    <td class="ml-default-border container" height="40" style="line-height: 40px; min-width: 640px;">
+                    </td>
+                  </tr>
+                  <tr>
+                    <td>
+                      <table align="center" width="100%" border="0" cellspacing="0" cellpadding="0">
+                        <tr>
+                          <td class="row" align="center" style="padding: 0 50px;">
+                            <img
+                              src="https://storage.mlcdn.com/account_image/597379/8QJ8kOjXakVvfe1kJLY2wWCObU1mp5EiDLfBlbQa.png"
+                              border="0" alt="" width="120" class="logo"
+                              style="max-width: 120px; display: inline-block;">
+                          </td>
+                        </tr>
+                      </table>
+                    </td>
+                  </tr>
+                </table>
+
+                <!-- Main Content Section -->
+                <table class="container ml-6 ml-default-border" width="640" bgcolor="#E2ECFD" align="center" border="0"
+                  cellspacing="0" cellpadding="0" style="color: #070629; width: 640px; min-width: 640px;">
+                  <tr>
+                    <td class="row" style="padding: 0 50px;">
+                      {{data.message|safe}}
+                    </td>
+                  </tr>
+                </table>
+
+                <!-- Signature Section -->
+                <table class="container ml-8 ml-default-border" width="640" bgcolor="#E2ECFD" align="center" border="0"
+                  cellspacing="0" cellpadding="0" style="color: #070629; width: 640px; min-width: 640px;">
+                  <tr>
+                    <td class="row mobile-center" align="left" style="padding: 0 50px;">
+                      <table class="ml-8 wrapper" border="0" cellspacing="0" cellpadding="0"
+                        style="color: #070629; text-align: left;">
+                        <tr>
+                          <td class="col center mobile-center" align>
+                            <p
+                              style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 16px; line-height: 165%; margin-top: 0; margin-bottom: 0;">
+                              Thank you for being a part of the AutoGPT community! Join the conversation on our Discord <a href="https://discord.gg/autogpt" style="color: #4285F4; text-decoration: underline;">here</a> and share your thoughts with us anytime.
+                            </p>
+                          </td>
+                        </tr>
+                      </table>
+                    </td>
+                  </tr>
+                </table>
+
+                <!-- Footer Section -->
+                <table class="container ml-10 ml-default-border" width="640" bgcolor="#ffffff" align="center" border="0"
+                  cellspacing="0" cellpadding="0" style="width: 640px; min-width: 640px;">
+                  <tr>
+                    <td class="row" style="padding: 0 50px;">
+                      <table align="center" width="100%" border="0" cellspacing="0" cellpadding="0">
+                        <tr>
+                          <td>
+                            <!-- Footer Content -->
+                            <table align="center" width="100%" border="0" cellspacing="0" cellpadding="0">
+                              <tr>
+                                <td class="col" align="left" valign="middle" width="120">
+                                  <img
+                                    src="https://storage.mlcdn.com/account_image/597379/8QJ8kOjXakVvfe1kJLY2wWCObU1mp5EiDLfBlbQa.png"
+                                    border="0" alt="" width="120" class="logo"
+                                    style="max-width: 120px; display: inline-block;">
+                                </td>
+                                <td class="col" width="40" height="30" style="line-height: 30px;"></td>
+                                <td class="col mobile-left" align="right" valign="middle" width="250">
+                                  <table role="presentation" cellpadding="0" cellspacing="0" border="0">
+                                    <tr>
+                                      <td align="center" valign="middle" width="18" style="padding: 0 5px 0 0;">
+                                        <a href="https://x.com/auto_gpt" target="blank" style="text-decoration: none;">
+                                          <img
+                                            src="https://assets.mlcdn.com/ml/images/icons/default/rounded_corners/black/x.png"
+                                            width="18" alt="x">
+                                        </a>
+                                      </td>
+                                      <td align="center" valign="middle" width="18" style="padding: 0 5px;">
+                                        <a href="https://discord.gg/autogpt" target="blank"
+                                          style="text-decoration: none;">
+                                          <img
+                                            src="https://assets.mlcdn.com/ml/images/icons/default/rounded_corners/black/discord.png"
+                                            width="18" alt="discord">
+                                        </a>
+                                      </td>
+                                      <td align="center" valign="middle" width="18" style="padding: 0 0 0 5px;">
+                                        <a href="https://agpt.co/" target="blank" style="text-decoration: none;">
+                                          <img
+                                            src="https://assets.mlcdn.com/ml/images/icons/default/rounded_corners/black/website.png"
+                                            width="18" alt="website">
+                                        </a>
+                                      </td>
+                                    </tr>
+                                  </table>
+                                </td>
+                              </tr>
+                            </table>
+                          </td>
+                        </tr>
+                        <tr>
+                          <td align="center" style="text-align: left!important;">
+                            <h5
+                              style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 15px; line-height: 125%; font-weight: bold; font-style: normal; text-decoration: none; margin-bottom: 6px;">
+                              AutoGPT
+                            </h5>
+                          </td>
+                        </tr>
+                        <tr>
+                          <td align="center" style="text-align: left!important;">
+                            <p
+                              style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 14px; line-height: 150%; display: inline-block; margin-bottom: 0;">
+                              3rd Floor 1 Ashley Road, Cheshire, United Kingdom, WA14 2DT, Altrincham<br>United Kingdom
+                            </p>
+                          </td>
+                        </tr>
+                        <tr>
+                          <td height="8" style="line-height: 8px;"></td>
+                        </tr>
+                        <tr>
+                          <td align="left" style="text-align: left!important;">
+                            <p
+                              style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 14px; line-height: 150%; display: inline-block; margin-bottom: 0;">
+                              You received this email because you signed up on our website.</p>
+                          </td>
+                        </tr>
+                        <tr>
+                          <td height="1" style="line-height: 12px;"></td>
+                        </tr>
+                        <tr>
+                          <td align="left">
+                            <p
+                              style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 14px; line-height: 150%; display: inline-block; margin-bottom: 0;">
+                              <a href="{{data.unsubscribe_link}}"
+                                style="color: #4285F4; font-weight: normal; font-style: normal; text-decoration: underline;">Unsubscribe</a>
+                            </p>
+                          </td>
+                        </tr>
+                      </table>
+                    </td>
+                  </tr>
+                </table>
+              </td>
+            </tr>
+          </table>
+        </td>
+      </tr>
+    </table>
+  </div>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/autogpt_platform/backend/backend/notifications/templates/low_balance.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/low_balance.html.jinja2
new file mode 100644
index 000000000000..8be13d047350
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/low_balance.html.jinja2
@@ -0,0 +1,103 @@
+{# Low Balance Notification Email Template #}
+{# Template variables:
+data.current_balance: the current balance of the user
+data.billing_page_link: the link to the billing page
+#}
+
+<p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    line-height: 165%;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+  <strong>Low Balance Warning</strong>
+</p>
+
+<p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    line-height: 165%;
+    margin-top: 0;
+    margin-bottom: 20px;
+  ">
+  Your account balance has dropped below the recommended threshold.
+</p>
+
+<div style="
+    margin-left: 15px;
+    margin-bottom: 20px;
+    padding: 15px;
+    border-left: 4px solid #5D23BB;
+    background-color: #f8f8ff;
+  ">
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+    <strong>Current Balance:</strong> ${{ "{:.2f}".format((data.current_balance|float)/100) }}
+  </p>
+</div>
+
+
+<div style="
+    margin-left: 15px;
+    margin-bottom: 20px;
+    padding: 15px;
+    border-left: 4px solid #FF6B6B;
+    background-color: #FFF0F0;
+  ">
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+    <strong>Low Balance:</strong>
+  </p>
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 5px;
+  ">
+    Your account requires additional credits to continue running agents. Please add credits to your account to avoid service interruption.
+  </p>
+</div>
+
+<div style="
+    text-align: center;
+    margin: 30px 0;
+  ">
+  <a href="{{ data.billing_page_link }}" style="
+    font-family: 'Poppins', sans-serif;
+    background-color: #5D23BB;
+    color: white;
+    padding: 12px 24px;
+    text-decoration: none;
+    border-radius: 4px;
+    font-weight: 500;
+    display: inline-block;
+  ">
+    Manage Billing
+  </a>
+</div>
+
+<p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    line-height: 150%;
+    margin-top: 30px;
+    margin-bottom: 10px;
+    font-style: italic;
+  ">
+  This is an automated low balance notification. Consider adding credits soon to avoid service interruption.
+</p>
diff --git a/autogpt_platform/backend/backend/notifications/templates/refund_processed.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/refund_processed.html.jinja2
new file mode 100644
index 000000000000..244c062a7059
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/refund_processed.html.jinja2
@@ -0,0 +1,51 @@
+{# Refund Processed Notification Email Template #}
+{#
+  Template variables:
+  data.user_id: the ID of the user
+  data.user_name: the user's name
+  data.user_email: the user's email address
+  data.transaction_id: the transaction ID for the refund request
+  data.refund_request_id: the refund request ID
+  data.reason: the reason for the refund request
+  data.amount: the refund amount in cents (divide by 100 for dollars)
+  data.balance: the user's latest balance in cents (after the refund deduction)
+
+  Subject: Refund for ${{ data.amount / 100 }} to {{ data.user_name }} has been processed
+#}
+
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="UTF-8">
+    <title>Refund Processed Notification</title>
+  </head>
+  <body style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 16px; line-height: 1.65; margin: 0; padding: 20px;">
+    <p style="margin-bottom: 10px;">Hello Administrator,</p>
+
+    <p style="margin-bottom: 10px;">
+      This is to notify you that the refund for <strong>${{ data.amount / 100 }}</strong> to <strong>{{ data.user_name }}</strong> has been processed successfully.
+    </p>
+
+    <h2 style="margin-bottom: 10px;">Refund Details</h2>
+    <ul style="margin-bottom: 10px;">
+      <li><strong>User ID:</strong> {{ data.user_id }}</li>
+      <li><strong>User Name:</strong> {{ data.user_name }}</li>
+      <li><strong>User Email:</strong> {{ data.user_email }}</li>
+      <li><strong>Transaction ID:</strong> {{ data.transaction_id }}</li>
+      <li><strong>Refund Request ID:</strong> {{ data.refund_request_id }}</li>
+      <li><strong>Refund Amount:</strong> ${{ data.amount / 100 }}</li>
+      <li><strong>Reason for Refund:</strong> {{ data.reason }}</li>
+      <li><strong>Latest User Balance:</strong> ${{ data.balance / 100 }}</li>
+    </ul>
+
+    <p style="margin-bottom: 10px;">
+      The user's balance has been updated accordingly after the deduction.
+    </p>
+
+    <p style="margin-bottom: 10px;">
+      Please contact the support team if you have any questions or need further assistance regarding this refund.
+    </p>
+
+    <p style="margin-bottom: 0;">Best regards,<br>Your Notification System</p>
+  </body>
+</html>
diff --git a/autogpt_platform/backend/backend/notifications/templates/refund_request.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/refund_request.html.jinja2
new file mode 100644
index 000000000000..b9e2ac954ae0
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/refund_request.html.jinja2
@@ -0,0 +1,72 @@
+{# Refund Request Email Template #}
+{#
+  Template variables:
+  data.user_id: the ID of the user
+  data.user_name: the user's name
+  data.user_email: the user's email address
+  data.transaction_id: the transaction ID for the refund request
+  data.refund_request_id: the refund request ID
+  data.reason: the reason for the refund request
+  data.amount: the refund amount in cents (divide by 100 for dollars)
+  data.balance: the user's balance in cents (divide by 100 for dollars)
+
+  Subject: [ACTION REQUIRED] You got a ${{ data.amount / 100 }} refund request from {{ data.user_name }}
+#}
+
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="UTF-8">
+    <title>Refund Request Approval Needed</title>
+  </head>
+  <body style="font-family: 'Poppins', sans-serif; color: #070629; font-size: 16px; line-height: 1.65; margin: 0; padding: 20px;">
+    <p style="margin-bottom: 10px;">Hello Administrator,</p>
+    <p style="margin-bottom: 10px;">
+      A refund request has been submitted by a user and requires your approval.
+    </p>
+
+    <h2 style="margin-bottom: 10px;">Refund Request Details</h2>
+    <ul style="margin-bottom: 10px;">
+      <li><strong>User ID:</strong> {{ data.user_id }}</li>
+      <li><strong>User Name:</strong> {{ data.user_name }}</li>
+      <li><strong>User Email:</strong> {{ data.user_email }}</li>
+      <li><strong>Transaction ID:</strong> {{ data.transaction_id }}</li>
+      <li><strong>Refund Request ID:</strong> {{ data.refund_request_id }}</li>
+      <li><strong>Refund Amount:</strong> ${{ data.amount / 100 }}</li>
+      <li><strong>User Balance:</strong> ${{ data.balance / 100 }}</li>
+      <li><strong>Reason for Refund:</strong> {{ data.reason }}</li>
+    </ul>
+
+    <p style="margin-bottom: 10px;">
+      To approve this refund, please click on the following Stripe link:
+      https://dashboard.stripe.com/test/payments/{{data.transaction_id}}
+      <br/>
+      And then click on the "Refund" button.
+    </p>
+
+    <p style="margin-bottom: 10px;">
+      To reject this refund, please follow these steps:
+    </p>
+    <ol style="margin-bottom: 10px;">
+      <li>
+        Visit the Supabase Dashboard:
+        https://supabase.com/dashboard/project/bgwpwdsxblryihinutbx/editor
+      </li>
+      <li>
+        Navigate to the <strong>RefundRequest</strong> table.
+      </li>
+      <li>
+        Filter the <code>transactionKey</code> column with the Transaction ID: <strong>{{ data.transaction_id }}</strong>.
+      </li>
+      <li>
+        Update the <code>status</code> field to <strong>REJECTED</strong> and enter the rejection reason in the <code>result</code> column.
+      </li>
+    </ol>
+
+    <p style="margin-bottom: 10px;">
+      Please take the necessary action at your earliest convenience.
+    </p>
+    <p style="margin-bottom: 10px;">Thank you for your prompt attention.</p>
+    <p style="margin-bottom: 0;">Best regards,<br>Your Notification System</p>
+  </body>
+</html>
diff --git a/autogpt_platform/backend/backend/notifications/templates/weekly_summary.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/weekly_summary.html.jinja2
new file mode 100644
index 000000000000..6de381a94677
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/weekly_summary.html.jinja2
@@ -0,0 +1,68 @@
+{# Weekly Summary #}
+{# Template variables:
+data: the stuff below
+data.start_date: the start date of the summary
+data.end_date: the end date of the summary
+data.total_credits_used: the total credits used during the summary
+data.total_executions: the total number of executions during the summary
+data.most_used_agent: the most used agent's name during the summary
+data.total_execution_time: the total execution time during the summary
+data.successful_runs: the total number of successful runs during the summary
+data.failed_runs: the total number of failed runs during the summary
+data.average_execution_time: the average execution time during the summary
+data.cost_breakdown: the cost breakdown during the summary (dict mapping agent names to credit amounts)
+#}
+
+<h1 style="color: #5D23BB; font-size: 32px; font-weight: 600; margin-bottom: 25px; margin-top: 0;">
+  Weekly Summary
+</h1>
+
+<h2 style="color: #070629; font-size: 24px; font-weight: 500; margin-bottom: 20px;">
+  Your Agent Activity: {{ data.start_date.strftime('%B %-d') }} – {{ data.end_date.strftime('%B %-d') }}
+</h2>
+
+<div style="background-color: #ffffff; border-radius: 8px; padding: 20px; margin-bottom: 25px;">
+  <ul style="list-style-type: disc; padding-left: 20px; margin: 0;">
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Total Executions:</strong> {{ data.total_executions }}
+    </li>
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Total Credits Used:</strong> {{ data.total_credits_used|format("%.2f") }}
+    </li>
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Total Execution Time:</strong> {{ data.total_execution_time|format("%.1f") }} seconds
+    </li>
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Successful Runs:</strong> {{ data.successful_runs }}
+    </li>
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Failed Runs:</strong> {{ data.failed_runs }}
+    </li>
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Average Execution Time:</strong> {{ data.average_execution_time|format("%.1f") }} seconds
+    </li>
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Most Used Agent:</strong> {{ data.most_used_agent }}
+    </li>
+    {% if data.cost_breakdown %}
+    <li style="font-size: 16px; line-height: 1.8; margin-bottom: 8px;">
+      <strong>Cost Breakdown:</strong>
+      <ul style="list-style-type: disc; padding-left: 40px; margin-top: 8px;">
+        {% for agent_name, credits in data.cost_breakdown.items() %}
+          <li style="font-size: 16px; line-height: 1.8; margin-bottom: 4px;">
+            {{ agent_name }}: {{ credits|format("%.2f") }} credits
+          </li>
+        {% endfor %}
+      </ul>
+    </li>
+    {% endif %}
+  </ul>
+</div>
+
+<p style="font-size: 16px; line-height: 165%; margin-top: 20px; margin-bottom: 10px;">
+  Thank you for being a part of the AutoGPT community! 🎉
+</p>
+
+<p style="font-size: 16px; line-height: 165%; margin-bottom: 0;">
+  Join the conversation on <a href="https://discord.gg/autogpt" style="color: #4285F4; text-decoration: underline;">Discord here</a>.
+</p>
\ No newline at end of file
diff --git a/autogpt_platform/backend/backend/notifications/templates/zero_balance.html.jinja2 b/autogpt_platform/backend/backend/notifications/templates/zero_balance.html.jinja2
new file mode 100644
index 000000000000..eb6879b89802
--- /dev/null
+++ b/autogpt_platform/backend/backend/notifications/templates/zero_balance.html.jinja2
@@ -0,0 +1,114 @@
+{# Low Balance Notification Email Template #}
+{# Template variables:
+data.agent_name: the name of the agent
+data.current_balance: the current balance of the user
+data.billing_page_link: the link to the billing page
+data.shortfall: the shortfall amount
+#}
+
+<p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    line-height: 165%;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+  <strong>Zero Balance Warning</strong>
+</p>
+
+<p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    line-height: 165%;
+    margin-top: 0;
+    margin-bottom: 20px;
+  ">
+  Your agent "<strong>{{ data.agent_name }}</strong>" has been stopped due to low balance.
+</p>
+
+<div style="
+    margin-left: 15px;
+    margin-bottom: 20px;
+    padding: 15px;
+    border-left: 4px solid #5D23BB;
+    background-color: #f8f8ff;
+  ">
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+    <strong>Current Balance:</strong> ${{ "{:.2f}".format((data.current_balance|float)/100) }}
+  </p>
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+    <strong>Shortfall:</strong> ${{ "{:.2f}".format((data.shortfall|float)/100) }}
+  </p>
+</div>
+
+
+<div style="
+    margin-left: 15px;
+    margin-bottom: 20px;
+    padding: 15px;
+    border-left: 4px solid #FF6B6B;
+    background-color: #FFF0F0;
+  ">
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 10px;
+  ">
+    <strong>Low Balance:</strong>
+  </p>
+  <p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    margin-top: 0;
+    margin-bottom: 5px;
+  ">
+    Your agent "<strong>{{ data.agent_name }}</strong>" requires additional credits to continue running. The current operation has been canceled until your balance is replenished.
+  </p>
+</div>
+
+<div style="
+    text-align: center;
+    margin: 30px 0;
+  ">
+  <a href="{{ data.billing_page_link }}" style="
+    font-family: 'Poppins', sans-serif;
+    background-color: #5D23BB;
+    color: white;
+    padding: 12px 24px;
+    text-decoration: none;
+    border-radius: 4px;
+    font-weight: 500;
+    display: inline-block;
+  ">
+    Manage Billing
+  </a>
+</div>
+
+<p style="
+    font-family: 'Poppins', sans-serif;
+    color: #070629;
+    font-size: 16px;
+    line-height: 150%;
+    margin-top: 30px;
+    margin-bottom: 10px;
+    font-style: italic;
+  ">
+  This is an automated notification. Your agent is stopped and will need manually restarted unless set to trigger automatically.
+</p>
diff --git a/autogpt_platform/backend/backend/rest.py b/autogpt_platform/backend/backend/rest.py
index e0da452ca2be..b601144c6f40 100644
--- a/autogpt_platform/backend/backend/rest.py
+++ b/autogpt_platform/backend/backend/rest.py
@@ -1,5 +1,4 @@
 from backend.app import run_processes
-from backend.executor import DatabaseManager, ExecutionScheduler
 from backend.server.rest_api import AgentServer
 
 
@@ -7,11 +6,7 @@ def main():
     """
     Run all the processes required for the AutoGPT-server REST API.
     """
-    run_processes(
-        DatabaseManager(),
-        ExecutionScheduler(),
-        AgentServer(),
-    )
+    run_processes(AgentServer())
 
 
 if __name__ == "__main__":
diff --git a/autogpt_platform/backend/backend/scheduler.py b/autogpt_platform/backend/backend/scheduler.py
new file mode 100644
index 000000000000..c22faf31afe5
--- /dev/null
+++ b/autogpt_platform/backend/backend/scheduler.py
@@ -0,0 +1,15 @@
+from backend.app import run_processes
+from backend.executor.scheduler import Scheduler
+
+
+def main():
+    """
+    Run all the processes required for the AutoGPT-server Scheduling System.
+    """
+    run_processes(
+        Scheduler(),
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/autogpt_platform/backend/backend/sdk/__init__.py b/autogpt_platform/backend/backend/sdk/__init__.py
new file mode 100644
index 000000000000..666ad08835ac
--- /dev/null
+++ b/autogpt_platform/backend/backend/sdk/__init__.py
@@ -0,0 +1,170 @@
+"""
+AutoGPT Platform Block Development SDK
+
+Complete re-export of all dependencies needed for block development.
+Usage: from backend.sdk import *
+
+This module provides:
+- All block base classes and types
+- All credential and authentication components  
+- All cost tracking components
+- All webhook components
+- All utility functions
+- Auto-registration decorators
+"""
+
+# Third-party imports
+from pydantic import BaseModel, Field, SecretStr
+
+# === CORE BLOCK SYSTEM ===
+from backend.data.block import (
+    Block,
+    BlockCategory,
+    BlockManualWebhookConfig,
+    BlockOutput,
+    BlockSchema,
+    BlockType,
+    BlockWebhookConfig,
+)
+from backend.data.integrations import Webhook, update_webhook
+from backend.data.model import APIKeyCredentials, Credentials, CredentialsField
+from backend.data.model import CredentialsMetaInput as _CredentialsMetaInput
+from backend.data.model import (
+    NodeExecutionStats,
+    OAuth2Credentials,
+    SchemaField,
+    UserPasswordCredentials,
+)
+
+# === INTEGRATIONS ===
+from backend.integrations.providers import ProviderName
+from backend.sdk.builder import ProviderBuilder
+from backend.sdk.cost_integration import cost
+from backend.sdk.provider import Provider
+
+# === NEW SDK COMPONENTS (imported early for patches) ===
+from backend.sdk.registry import AutoRegistry, BlockConfiguration
+
+# === UTILITIES ===
+from backend.util import json
+from backend.util.request import Requests
+
+# === OPTIONAL IMPORTS WITH TRY/EXCEPT ===
+# Webhooks
+try:
+    from backend.integrations.webhooks._base import BaseWebhooksManager
+except ImportError:
+    BaseWebhooksManager = None
+
+try:
+    from backend.integrations.webhooks._manual_base import ManualWebhookManagerBase
+except ImportError:
+    ManualWebhookManagerBase = None
+
+# Cost System
+try:
+    from backend.data.cost import BlockCost, BlockCostType
+except ImportError:
+    from backend.data.block_cost_config import BlockCost, BlockCostType
+
+try:
+    from backend.data.credit import UsageTransactionMetadata
+except ImportError:
+    UsageTransactionMetadata = None
+
+try:
+    from backend.executor.utils import block_usage_cost
+except ImportError:
+    block_usage_cost = None
+
+# Utilities
+try:
+    from backend.util.file import store_media_file
+except ImportError:
+    store_media_file = None
+
+try:
+    from backend.util.type import MediaFileType, convert
+except ImportError:
+    MediaFileType = None
+    convert = None
+
+try:
+    from backend.util.text import TextFormatter
+except ImportError:
+    TextFormatter = None
+
+try:
+    from backend.util.logging import TruncatedLogger
+except ImportError:
+    TruncatedLogger = None
+
+
+# OAuth handlers
+try:
+    from backend.integrations.oauth.base import BaseOAuthHandler
+except ImportError:
+    BaseOAuthHandler = None
+
+
+# Credential type with proper provider name
+from typing import Literal as _Literal
+
+CredentialsMetaInput = _CredentialsMetaInput[
+    ProviderName, _Literal["api_key", "oauth2", "user_password"]
+]
+
+
+# === COMPREHENSIVE __all__ EXPORT ===
+__all__ = [
+    # Core Block System
+    "Block",
+    "BlockCategory",
+    "BlockOutput",
+    "BlockSchema",
+    "BlockType",
+    "BlockWebhookConfig",
+    "BlockManualWebhookConfig",
+    # Schema and Model Components
+    "SchemaField",
+    "Credentials",
+    "CredentialsField",
+    "CredentialsMetaInput",
+    "APIKeyCredentials",
+    "OAuth2Credentials",
+    "UserPasswordCredentials",
+    "NodeExecutionStats",
+    # Cost System
+    "BlockCost",
+    "BlockCostType",
+    "UsageTransactionMetadata",
+    "block_usage_cost",
+    # Integrations
+    "ProviderName",
+    "BaseWebhooksManager",
+    "ManualWebhookManagerBase",
+    "Webhook",
+    "update_webhook",
+    # Provider-Specific (when available)
+    "BaseOAuthHandler",
+    # Utilities
+    "json",
+    "store_media_file",
+    "MediaFileType",
+    "convert",
+    "TextFormatter",
+    "TruncatedLogger",
+    "BaseModel",
+    "Field",
+    "SecretStr",
+    "Requests",
+    # SDK Components
+    "AutoRegistry",
+    "BlockConfiguration",
+    "Provider",
+    "ProviderBuilder",
+    "cost",
+]
+
+# Remove None values from __all__
+__all__ = [name for name in __all__ if globals().get(name) is not None]
diff --git a/autogpt_platform/backend/backend/sdk/builder.py b/autogpt_platform/backend/backend/sdk/builder.py
new file mode 100644
index 000000000000..a015560d7345
--- /dev/null
+++ b/autogpt_platform/backend/backend/sdk/builder.py
@@ -0,0 +1,182 @@
+"""
+Builder class for creating provider configurations with a fluent API.
+"""
+
+import logging
+import os
+from typing import Callable, List, Optional, Type
+
+from pydantic import SecretStr
+
+from backend.data.cost import BlockCost, BlockCostType
+from backend.data.model import (
+    APIKeyCredentials,
+    Credentials,
+    CredentialsType,
+    UserPasswordCredentials,
+)
+from backend.integrations.oauth.base import BaseOAuthHandler
+from backend.integrations.webhooks._base import BaseWebhooksManager
+from backend.sdk.provider import OAuthConfig, Provider
+from backend.sdk.registry import AutoRegistry
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+
+
+class ProviderBuilder:
+    """Builder for creating provider configurations."""
+
+    def __init__(self, name: str):
+        self.name = name
+        self._oauth_config: Optional[OAuthConfig] = None
+        self._webhook_manager: Optional[Type[BaseWebhooksManager]] = None
+        self._default_credentials: List[Credentials] = []
+        self._base_costs: List[BlockCost] = []
+        self._supported_auth_types: set[CredentialsType] = set()
+        self._api_client_factory: Optional[Callable] = None
+        self._error_handler: Optional[Callable[[Exception], str]] = None
+        self._default_scopes: Optional[List[str]] = None
+        self._client_id_env_var: Optional[str] = None
+        self._client_secret_env_var: Optional[str] = None
+        self._extra_config: dict = {}
+
+    def with_oauth(
+        self,
+        handler_class: Type[BaseOAuthHandler],
+        scopes: Optional[List[str]] = None,
+        client_id_env_var: Optional[str] = None,
+        client_secret_env_var: Optional[str] = None,
+    ) -> "ProviderBuilder":
+        """Add OAuth support."""
+        if not client_id_env_var or not client_secret_env_var:
+            client_id_env_var = f"{self.name}_client_id".upper()
+            client_secret_env_var = f"{self.name}_client_secret".upper()
+
+        if os.getenv(client_id_env_var) and os.getenv(client_secret_env_var):
+            self._client_id_env_var = client_id_env_var
+            self._client_secret_env_var = client_secret_env_var
+
+            self._oauth_config = OAuthConfig(
+                oauth_handler=handler_class,
+                scopes=scopes,
+                client_id_env_var=client_id_env_var,
+                client_secret_env_var=client_secret_env_var,
+            )
+            self._supported_auth_types.add("oauth2")
+        else:
+            logger.warning(
+                f"Provider {self.name.upper()} implements OAuth but the required env "
+                f"vars {client_id_env_var} and {client_secret_env_var} are not both set"
+            )
+        return self
+
+    def with_api_key(self, env_var_name: str, title: str) -> "ProviderBuilder":
+        """Add API key support with environment variable name."""
+        self._supported_auth_types.add("api_key")
+
+        # Register the API key mapping
+        AutoRegistry.register_api_key(self.name, env_var_name)
+
+        # Check if API key exists in environment
+        api_key = os.getenv(env_var_name)
+        if api_key:
+            self._default_credentials.append(
+                APIKeyCredentials(
+                    id=f"{self.name}-default",
+                    provider=self.name,
+                    api_key=SecretStr(api_key),
+                    title=title,
+                )
+            )
+        return self
+
+    def with_api_key_from_settings(
+        self, settings_attr: str, title: str
+    ) -> "ProviderBuilder":
+        """Use existing API key from settings."""
+        self._supported_auth_types.add("api_key")
+
+        # Try to get the API key from settings
+        settings = Settings()
+        api_key = getattr(settings.secrets, settings_attr, None)
+        if api_key:
+            self._default_credentials.append(
+                APIKeyCredentials(
+                    id=f"{self.name}-default",
+                    provider=self.name,
+                    api_key=api_key,
+                    title=title,
+                )
+            )
+        return self
+
+    def with_user_password(
+        self, username_env_var: str, password_env_var: str, title: str
+    ) -> "ProviderBuilder":
+        """Add username/password support with environment variable names."""
+        self._supported_auth_types.add("user_password")
+
+        # Check if credentials exist in environment
+        username = os.getenv(username_env_var)
+        password = os.getenv(password_env_var)
+        if username and password:
+            self._default_credentials.append(
+                UserPasswordCredentials(
+                    id=f"{self.name}-default",
+                    provider=self.name,
+                    username=SecretStr(username),
+                    password=SecretStr(password),
+                    title=title,
+                )
+            )
+        return self
+
+    def with_webhook_manager(
+        self, manager_class: Type[BaseWebhooksManager]
+    ) -> "ProviderBuilder":
+        """Register webhook manager for this provider."""
+        self._webhook_manager = manager_class
+        return self
+
+    def with_base_cost(
+        self, amount: int, cost_type: BlockCostType
+    ) -> "ProviderBuilder":
+        """Set base cost for all blocks using this provider."""
+        self._base_costs.append(BlockCost(cost_amount=amount, cost_type=cost_type))
+        return self
+
+    def with_api_client(self, factory: Callable) -> "ProviderBuilder":
+        """Register API client factory."""
+        self._api_client_factory = factory
+        return self
+
+    def with_error_handler(
+        self, handler: Callable[[Exception], str]
+    ) -> "ProviderBuilder":
+        """Register error handler for provider-specific errors."""
+        self._error_handler = handler
+        return self
+
+    def with_config(self, **kwargs) -> "ProviderBuilder":
+        """Add additional configuration options."""
+        self._extra_config.update(kwargs)
+        return self
+
+    def build(self) -> Provider:
+        """Build and register the provider configuration."""
+        provider = Provider(
+            name=self.name,
+            oauth_config=self._oauth_config,
+            webhook_manager=self._webhook_manager,
+            default_credentials=self._default_credentials,
+            base_costs=self._base_costs,
+            supported_auth_types=self._supported_auth_types,
+            api_client_factory=self._api_client_factory,
+            error_handler=self._error_handler,
+            **self._extra_config,
+        )
+
+        # Auto-registration happens here
+        AutoRegistry.register_provider(provider)
+        return provider
diff --git a/autogpt_platform/backend/backend/sdk/cost_integration.py b/autogpt_platform/backend/backend/sdk/cost_integration.py
new file mode 100644
index 000000000000..3eb4b470627e
--- /dev/null
+++ b/autogpt_platform/backend/backend/sdk/cost_integration.py
@@ -0,0 +1,163 @@
+"""
+Integration between SDK provider costs and the execution cost system.
+
+This module provides the glue between provider-defined base costs and the 
+BLOCK_COSTS configuration used by the execution system.
+"""
+
+import logging
+from typing import List, Type
+
+from backend.data.block import Block
+from backend.data.block_cost_config import BLOCK_COSTS
+from backend.data.cost import BlockCost
+from backend.sdk.registry import AutoRegistry
+
+logger = logging.getLogger(__name__)
+
+
+def register_provider_costs_for_block(block_class: Type[Block]) -> None:
+    """
+    Register provider base costs for a specific block in BLOCK_COSTS.
+
+    This function checks if the block uses credentials from a provider that has
+    base costs defined, and automatically registers those costs for the block.
+
+    Args:
+        block_class: The block class to register costs for
+    """
+    # Skip if block already has custom costs defined
+    if block_class in BLOCK_COSTS:
+        logger.debug(
+            f"Block {block_class.__name__} already has costs defined, skipping provider costs"
+        )
+        return
+
+    # Get the block's input schema
+    # We need to instantiate the block to get its input schema
+    try:
+        block_instance = block_class()
+        input_schema = block_instance.input_schema
+    except Exception as e:
+        logger.debug(f"Block {block_class.__name__} cannot be instantiated: {e}")
+        return
+
+    # Look for credentials fields
+    # The cost system works of filtering on credentials fields,
+    # without credentials fields, we can not apply costs
+    # TODO: Improve cost system to allow for costs witout a provider
+    credentials_fields = input_schema.get_credentials_fields()
+    if not credentials_fields:
+        logger.debug(f"Block {block_class.__name__} has no credentials fields")
+        return
+
+    # Get provider information from credentials fields
+    for field_name, field_info in credentials_fields.items():
+        # Get the field schema to extract provider information
+        field_schema = input_schema.get_field_schema(field_name)
+
+        # Extract provider names from json_schema_extra
+        providers = field_schema.get("credentials_provider", [])
+        if not providers:
+            continue
+
+        # For each provider, check if it has base costs
+        block_costs: List[BlockCost] = []
+        for provider_name in providers:
+            provider = AutoRegistry.get_provider(provider_name)
+            if not provider:
+                logger.debug(f"Provider {provider_name} not found in registry")
+                continue
+
+            # Add provider's base costs to the block
+            if provider.base_costs:
+                logger.debug(
+                    f"Registering {len(provider.base_costs)} base costs from provider {provider_name} for block {block_class.__name__}"
+                )
+                block_costs.extend(provider.base_costs)
+
+        # Register costs if any were found
+        if block_costs:
+            BLOCK_COSTS[block_class] = block_costs
+            logger.debug(
+                f"Registered {len(block_costs)} total costs for block {block_class.__name__}"
+            )
+
+
+def sync_all_provider_costs() -> None:
+    """
+    Sync all provider base costs to blocks that use them.
+
+    This should be called after all providers and blocks are registered,
+    typically during application startup.
+    """
+    from backend.blocks import load_all_blocks
+
+    logger.info("Syncing provider costs to blocks...")
+
+    blocks_with_costs = 0
+    total_costs = 0
+
+    for block_id, block_class in load_all_blocks().items():
+        initial_count = len(BLOCK_COSTS.get(block_class, []))
+        register_provider_costs_for_block(block_class)
+        final_count = len(BLOCK_COSTS.get(block_class, []))
+
+        if final_count > initial_count:
+            blocks_with_costs += 1
+            total_costs += final_count - initial_count
+
+    logger.info(f"Synced {total_costs} costs to {blocks_with_costs} blocks")
+
+
+def get_block_costs(block_class: Type[Block]) -> List[BlockCost]:
+    """
+    Get all costs for a block, including both explicit and provider costs.
+
+    Args:
+        block_class: The block class to get costs for
+
+    Returns:
+        List of BlockCost objects for the block
+    """
+    # First ensure provider costs are registered
+    register_provider_costs_for_block(block_class)
+
+    # Return all costs for the block
+    return BLOCK_COSTS.get(block_class, [])
+
+
+def cost(*costs: BlockCost):
+    """
+    Decorator to set custom costs for a block.
+
+    This decorator allows blocks to define their own costs, which will override
+    any provider base costs. Multiple costs can be specified with different
+    filters for different pricing tiers (e.g., different models).
+
+    Example:
+        @cost(
+            BlockCost(cost_type=BlockCostType.RUN, cost_amount=10),
+            BlockCost(
+                cost_type=BlockCostType.RUN,
+                cost_amount=20,
+                cost_filter={"model": "premium"}
+            )
+        )
+        class MyBlock(Block):
+            ...
+
+    Args:
+        *costs: Variable number of BlockCost objects
+    """
+
+    def decorator(block_class: Type[Block]) -> Type[Block]:
+        # Register the costs for this block
+        if costs:
+            BLOCK_COSTS[block_class] = list(costs)
+            logger.info(
+                f"Registered {len(costs)} custom costs for block {block_class.__name__}"
+            )
+        return block_class
+
+    return decorator
diff --git a/autogpt_platform/backend/backend/sdk/provider.py b/autogpt_platform/backend/backend/sdk/provider.py
new file mode 100644
index 000000000000..83a24ab0219f
--- /dev/null
+++ b/autogpt_platform/backend/backend/sdk/provider.py
@@ -0,0 +1,157 @@
+"""
+Provider configuration class that holds all provider-related settings.
+"""
+
+import uuid
+from typing import Any, Callable, List, Optional, Set, Type
+
+from pydantic import BaseModel, SecretStr
+
+from backend.data.cost import BlockCost
+from backend.data.model import (
+    APIKeyCredentials,
+    Credentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    CredentialsType,
+    OAuth2Credentials,
+    UserPasswordCredentials,
+)
+from backend.integrations.oauth.base import BaseOAuthHandler
+from backend.integrations.webhooks._base import BaseWebhooksManager
+
+
+class OAuthConfig(BaseModel):
+    """Configuration for OAuth authentication."""
+
+    oauth_handler: Type[BaseOAuthHandler]
+    scopes: Optional[List[str]] = None
+    client_id_env_var: str
+    client_secret_env_var: str
+
+
+class Provider:
+    """A configured provider that blocks can use.
+
+    A Provider represents a service or platform that blocks can integrate with, like Linear, OpenAI, etc.
+    It contains configuration for:
+    - Authentication (OAuth, API keys)
+    - Default credentials
+    - Base costs for using the provider
+    - Webhook handling
+    - Error handling
+    - API client factory
+
+    Blocks use Provider instances to handle authentication, make API calls, and manage service-specific logic.
+    """
+
+    def __init__(
+        self,
+        name: str,
+        oauth_config: Optional[OAuthConfig] = None,
+        webhook_manager: Optional[Type[BaseWebhooksManager]] = None,
+        default_credentials: Optional[List[Credentials]] = None,
+        base_costs: Optional[List[BlockCost]] = None,
+        supported_auth_types: Optional[Set[CredentialsType]] = None,
+        api_client_factory: Optional[Callable] = None,
+        error_handler: Optional[Callable[[Exception], str]] = None,
+        **kwargs,
+    ):
+        self.name = name
+        self.oauth_config = oauth_config
+        self.webhook_manager = webhook_manager
+        self.default_credentials = default_credentials or []
+        self.base_costs = base_costs or []
+        self.supported_auth_types = supported_auth_types or set()
+        self._api_client_factory = api_client_factory
+        self._error_handler = error_handler
+
+        # Store any additional configuration
+        self._extra_config = kwargs
+        self.test_credentials_uuid = uuid.uuid4()
+
+    def credentials_field(self, **kwargs) -> CredentialsMetaInput:
+        """Return a CredentialsField configured for this provider."""
+        # Extract known CredentialsField parameters
+        title = kwargs.pop("title", None)
+        description = kwargs.pop("description", f"{self.name.title()} credentials")
+        required_scopes = kwargs.pop("required_scopes", set())
+        discriminator = kwargs.pop("discriminator", None)
+        discriminator_mapping = kwargs.pop("discriminator_mapping", None)
+        discriminator_values = kwargs.pop("discriminator_values", None)
+
+        # Create json_schema_extra with provider information
+        json_schema_extra = {
+            "credentials_provider": [self.name],
+            "credentials_types": (
+                list(self.supported_auth_types) if self.supported_auth_types else []
+            ),
+        }
+
+        # Merge any existing json_schema_extra
+        if "json_schema_extra" in kwargs:
+            json_schema_extra.update(kwargs.pop("json_schema_extra"))
+
+        # Add json_schema_extra to kwargs
+        kwargs["json_schema_extra"] = json_schema_extra
+
+        return CredentialsField(
+            required_scopes=required_scopes,
+            discriminator=discriminator,
+            discriminator_mapping=discriminator_mapping,
+            discriminator_values=discriminator_values,
+            title=title,
+            description=description,
+            **kwargs,
+        )
+
+    def get_test_credentials(self) -> Credentials:
+        """Get test credentials for the provider based on supported auth types."""
+        test_id = str(self.test_credentials_uuid)
+
+        # Return credentials based on the first supported auth type
+        if "user_password" in self.supported_auth_types:
+            return UserPasswordCredentials(
+                id=test_id,
+                provider=self.name,
+                username=SecretStr(f"mock-{self.name}-username"),
+                password=SecretStr(f"mock-{self.name}-password"),
+                title=f"Mock {self.name.title()} credentials",
+            )
+        elif "oauth2" in self.supported_auth_types:
+            return OAuth2Credentials(
+                id=test_id,
+                provider=self.name,
+                username=f"mock-{self.name}-username",
+                access_token=SecretStr(f"mock-{self.name}-access-token"),
+                access_token_expires_at=None,
+                refresh_token=SecretStr(f"mock-{self.name}-refresh-token"),
+                refresh_token_expires_at=None,
+                scopes=[f"mock-{self.name}-scope"],
+                title=f"Mock {self.name.title()} OAuth credentials",
+            )
+        else:
+            # Default to API key credentials
+            return APIKeyCredentials(
+                id=test_id,
+                provider=self.name,
+                api_key=SecretStr(f"mock-{self.name}-api-key"),
+                title=f"Mock {self.name.title()} API key",
+                expires_at=None,
+            )
+
+    def get_api(self, credentials: Credentials) -> Any:
+        """Get API client instance for the given credentials."""
+        if self._api_client_factory:
+            return self._api_client_factory(credentials)
+        raise NotImplementedError(f"No API client factory registered for {self.name}")
+
+    def handle_error(self, error: Exception) -> str:
+        """Handle provider-specific errors."""
+        if self._error_handler:
+            return self._error_handler(error)
+        return str(error)
+
+    def get_config(self, key: str, default: Any = None) -> Any:
+        """Get additional configuration value."""
+        return self._extra_config.get(key, default)
diff --git a/autogpt_platform/backend/backend/sdk/registry.py b/autogpt_platform/backend/backend/sdk/registry.py
new file mode 100644
index 000000000000..888f85794989
--- /dev/null
+++ b/autogpt_platform/backend/backend/sdk/registry.py
@@ -0,0 +1,212 @@
+"""
+Auto-registration system for blocks, providers, and their configurations.
+"""
+
+import logging
+import threading
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Type
+
+from pydantic import BaseModel, SecretStr
+
+from backend.blocks.basic import Block
+from backend.data.model import APIKeyCredentials, Credentials
+from backend.integrations.oauth.base import BaseOAuthHandler
+from backend.integrations.providers import ProviderName
+from backend.integrations.webhooks._base import BaseWebhooksManager
+
+if TYPE_CHECKING:
+    from backend.sdk.provider import Provider
+
+
+class SDKOAuthCredentials(BaseModel):
+    """OAuth credentials configuration for SDK providers."""
+
+    use_secrets: bool = False
+    client_id_env_var: Optional[str] = None
+    client_secret_env_var: Optional[str] = None
+
+
+class BlockConfiguration:
+    """Configuration associated with a block."""
+
+    def __init__(
+        self,
+        provider: str,
+        costs: List[Any],
+        default_credentials: List[Credentials],
+        webhook_manager: Optional[Type[BaseWebhooksManager]] = None,
+        oauth_handler: Optional[Type[BaseOAuthHandler]] = None,
+    ):
+        self.provider = provider
+        self.costs = costs
+        self.default_credentials = default_credentials
+        self.webhook_manager = webhook_manager
+        self.oauth_handler = oauth_handler
+
+
+class AutoRegistry:
+    """Central registry for all block-related configurations."""
+
+    _lock = threading.Lock()
+    _providers: Dict[str, "Provider"] = {}
+    _default_credentials: List[Credentials] = []
+    _oauth_handlers: Dict[str, Type[BaseOAuthHandler]] = {}
+    _oauth_credentials: Dict[str, SDKOAuthCredentials] = {}
+    _webhook_managers: Dict[str, Type[BaseWebhooksManager]] = {}
+    _block_configurations: Dict[Type[Block], BlockConfiguration] = {}
+    _api_key_mappings: Dict[str, str] = {}  # provider -> env_var_name
+
+    @classmethod
+    def register_provider(cls, provider: "Provider") -> None:
+        """Auto-register provider and all its configurations."""
+        with cls._lock:
+            cls._providers[provider.name] = provider
+
+            # Register OAuth handler if provided
+            if provider.oauth_config:
+                # Dynamically set PROVIDER_NAME if not already set
+                if (
+                    not hasattr(provider.oauth_config.oauth_handler, "PROVIDER_NAME")
+                    or provider.oauth_config.oauth_handler.PROVIDER_NAME is None
+                ):
+                    # This works because ProviderName has _missing_ method
+                    provider.oauth_config.oauth_handler.PROVIDER_NAME = ProviderName(
+                        provider.name
+                    )
+                cls._oauth_handlers[provider.name] = provider.oauth_config.oauth_handler
+
+                oauth_creds = SDKOAuthCredentials(
+                    use_secrets=False,  # SDK providers use custom env vars
+                    client_id_env_var=provider.oauth_config.client_id_env_var,
+                    client_secret_env_var=provider.oauth_config.client_secret_env_var,
+                )
+                cls._oauth_credentials[provider.name] = oauth_creds
+
+            # Register webhook manager if provided
+            if provider.webhook_manager:
+                # Dynamically set PROVIDER_NAME if not already set
+                if (
+                    not hasattr(provider.webhook_manager, "PROVIDER_NAME")
+                    or provider.webhook_manager.PROVIDER_NAME is None
+                ):
+
+                    # This works because ProviderName has _missing_ method
+                    provider.webhook_manager.PROVIDER_NAME = ProviderName(provider.name)
+                cls._webhook_managers[provider.name] = provider.webhook_manager
+
+            # Register default credentials
+            cls._default_credentials.extend(provider.default_credentials)
+
+    @classmethod
+    def register_api_key(cls, provider: str, env_var_name: str) -> None:
+        """Register an environment variable as an API key for a provider."""
+        with cls._lock:
+            cls._api_key_mappings[provider] = env_var_name
+
+            # Dynamically check if the env var exists and create credential
+            import os
+
+            api_key = os.getenv(env_var_name)
+            if api_key:
+                credential = APIKeyCredentials(
+                    id=f"{provider}-default",
+                    provider=provider,
+                    api_key=SecretStr(api_key),
+                    title=f"Default {provider} credentials",
+                )
+                # Check if credential already exists to avoid duplicates
+                if not any(c.id == credential.id for c in cls._default_credentials):
+                    cls._default_credentials.append(credential)
+
+    @classmethod
+    def get_all_credentials(cls) -> List[Credentials]:
+        """Replace hardcoded get_all_creds() in credentials_store.py."""
+        with cls._lock:
+            return cls._default_credentials.copy()
+
+    @classmethod
+    def get_oauth_handlers(cls) -> Dict[str, Type[BaseOAuthHandler]]:
+        """Replace HANDLERS_BY_NAME in oauth/__init__.py."""
+        with cls._lock:
+            return cls._oauth_handlers.copy()
+
+    @classmethod
+    def get_oauth_credentials(cls) -> Dict[str, SDKOAuthCredentials]:
+        """Get OAuth credentials configuration for SDK providers."""
+        with cls._lock:
+            return cls._oauth_credentials.copy()
+
+    @classmethod
+    def get_webhook_managers(cls) -> Dict[str, Type[BaseWebhooksManager]]:
+        """Replace load_webhook_managers() in webhooks/__init__.py."""
+        with cls._lock:
+            return cls._webhook_managers.copy()
+
+    @classmethod
+    def register_block_configuration(
+        cls, block_class: Type[Block], config: BlockConfiguration
+    ) -> None:
+        """Register configuration for a specific block class."""
+        with cls._lock:
+            cls._block_configurations[block_class] = config
+
+    @classmethod
+    def get_provider(cls, name: str) -> Optional["Provider"]:
+        """Get a registered provider by name."""
+        with cls._lock:
+            return cls._providers.get(name)
+
+    @classmethod
+    def get_all_provider_names(cls) -> List[str]:
+        """Get all registered provider names."""
+        with cls._lock:
+            return list(cls._providers.keys())
+
+    @classmethod
+    def clear(cls) -> None:
+        """Clear all registrations (useful for testing)."""
+        with cls._lock:
+            cls._providers.clear()
+            cls._default_credentials.clear()
+            cls._oauth_handlers.clear()
+            cls._webhook_managers.clear()
+            cls._block_configurations.clear()
+            cls._api_key_mappings.clear()
+
+    @classmethod
+    def patch_integrations(cls) -> None:
+        """Patch existing integration points to use AutoRegistry."""
+        # OAuth handlers are handled by SDKAwareHandlersDict in oauth/__init__.py
+        # No patching needed for OAuth handlers
+
+        # Patch webhook managers
+        try:
+            import sys
+            from typing import Any
+
+            # Get the module from sys.modules to respect mocking
+            if "backend.integrations.webhooks" in sys.modules:
+                webhooks: Any = sys.modules["backend.integrations.webhooks"]
+            else:
+                import backend.integrations.webhooks
+
+                webhooks: Any = backend.integrations.webhooks
+
+            if hasattr(webhooks, "load_webhook_managers"):
+                original_load = webhooks.load_webhook_managers
+
+                def patched_load():
+                    # Get original managers
+                    managers = original_load()
+                    # Add SDK-registered managers
+                    sdk_managers = cls.get_webhook_managers()
+                    if isinstance(sdk_managers, dict):
+                        # Convert string keys to ProviderName for consistency
+                        for provider_str, manager in sdk_managers.items():
+                            provider_name = ProviderName(provider_str)
+                            managers[provider_name] = manager
+                    return managers
+
+                webhooks.load_webhook_managers = patched_load
+        except Exception as e:
+            logging.warning(f"Failed to patch webhook managers: {e}")
diff --git a/autogpt_platform/backend/backend/server/conftest.py b/autogpt_platform/backend/backend/server/conftest.py
new file mode 100644
index 000000000000..8672436296ae
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/conftest.py
@@ -0,0 +1,17 @@
+"""Common test fixtures for server tests."""
+
+import pytest
+from pytest_snapshot.plugin import Snapshot
+
+
+@pytest.fixture
+def configured_snapshot(snapshot: Snapshot) -> Snapshot:
+    """Pre-configured snapshot fixture with standard settings."""
+    snapshot.snapshot_dir = "snapshots"
+    return snapshot
+
+
+# Test ID constants
+TEST_USER_ID = "test-user-id"
+ADMIN_USER_ID = "admin-user-id"
+TARGET_USER_ID = "target-user-id"
diff --git a/autogpt_platform/backend/backend/server/conn_manager.py b/autogpt_platform/backend/backend/server/conn_manager.py
index 6a4fb8a57860..043002861017 100644
--- a/autogpt_platform/backend/backend/server/conn_manager.py
+++ b/autogpt_platform/backend/backend/server/conn_manager.py
@@ -2,8 +2,17 @@
 
 from fastapi import WebSocket
 
-from backend.data import execution
-from backend.server.model import Methods, WsMessage
+from backend.data.execution import (
+    ExecutionEventType,
+    GraphExecutionEvent,
+    NodeExecutionEvent,
+)
+from backend.server.model import WSMessage, WSMethod
+
+_EVENT_TYPE_TO_METHOD_MAP: dict[ExecutionEventType, WSMethod] = {
+    ExecutionEventType.GRAPH_EXEC_UPDATE: WSMethod.GRAPH_EXECUTION_EVENT,
+    ExecutionEventType.NODE_EXEC_UPDATE: WSMethod.NODE_EXECUTION_EVENT,
+}
 
 
 class ConnectionManager:
@@ -11,33 +20,96 @@ def __init__(self):
         self.active_connections: Set[WebSocket] = set()
         self.subscriptions: Dict[str, Set[WebSocket]] = {}
 
-    async def connect(self, websocket: WebSocket):
+    async def connect_socket(self, websocket: WebSocket):
         await websocket.accept()
         self.active_connections.add(websocket)
 
-    def disconnect(self, websocket: WebSocket):
+    def disconnect_socket(self, websocket: WebSocket):
         self.active_connections.remove(websocket)
         for subscribers in self.subscriptions.values():
             subscribers.discard(websocket)
 
-    async def subscribe(self, graph_id: str, websocket: WebSocket):
-        if graph_id not in self.subscriptions:
-            self.subscriptions[graph_id] = set()
-        self.subscriptions[graph_id].add(websocket)
-
-    async def unsubscribe(self, graph_id: str, websocket: WebSocket):
-        if graph_id in self.subscriptions:
-            self.subscriptions[graph_id].discard(websocket)
-            if not self.subscriptions[graph_id]:
-                del self.subscriptions[graph_id]
-
-    async def send_execution_result(self, result: execution.ExecutionResult):
-        graph_id = result.graph_id
-        if graph_id in self.subscriptions:
-            message = WsMessage(
-                method=Methods.EXECUTION_EVENT,
-                channel=graph_id,
-                data=result.model_dump(),
+    async def subscribe_graph_exec(
+        self, *, user_id: str, graph_exec_id: str, websocket: WebSocket
+    ) -> str:
+        return await self._subscribe(
+            _graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id), websocket
+        )
+
+    async def subscribe_graph_execs(
+        self, *, user_id: str, graph_id: str, websocket: WebSocket
+    ) -> str:
+        return await self._subscribe(
+            _graph_execs_channel_key(user_id, graph_id=graph_id), websocket
+        )
+
+    async def unsubscribe_graph_exec(
+        self, *, user_id: str, graph_exec_id: str, websocket: WebSocket
+    ) -> str | None:
+        return await self._unsubscribe(
+            _graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id), websocket
+        )
+
+    async def unsubscribe_graph_execs(
+        self, *, user_id: str, graph_id: str, websocket: WebSocket
+    ) -> str | None:
+        return await self._unsubscribe(
+            _graph_execs_channel_key(user_id, graph_id=graph_id), websocket
+        )
+
+    async def send_execution_update(
+        self, exec_event: GraphExecutionEvent | NodeExecutionEvent
+    ) -> int:
+        graph_exec_id = (
+            exec_event.id
+            if isinstance(exec_event, GraphExecutionEvent)
+            else exec_event.graph_exec_id
+        )
+
+        n_sent = 0
+
+        channels: set[str] = {
+            # Send update to listeners for this graph execution
+            _graph_exec_channel_key(exec_event.user_id, graph_exec_id=graph_exec_id)
+        }
+        if isinstance(exec_event, GraphExecutionEvent):
+            # Send update to listeners for all executions of this graph
+            channels.add(
+                _graph_execs_channel_key(
+                    exec_event.user_id, graph_id=exec_event.graph_id
+                )
+            )
+
+        for channel in channels.intersection(self.subscriptions.keys()):
+            message = WSMessage(
+                method=_EVENT_TYPE_TO_METHOD_MAP[exec_event.event_type],
+                channel=channel,
+                data=exec_event.model_dump(),
             ).model_dump_json()
-            for connection in self.subscriptions[graph_id]:
+            for connection in self.subscriptions[channel]:
                 await connection.send_text(message)
+                n_sent += 1
+
+        return n_sent
+
+    async def _subscribe(self, channel_key: str, websocket: WebSocket) -> str:
+        if channel_key not in self.subscriptions:
+            self.subscriptions[channel_key] = set()
+        self.subscriptions[channel_key].add(websocket)
+        return channel_key
+
+    async def _unsubscribe(self, channel_key: str, websocket: WebSocket) -> str | None:
+        if channel_key in self.subscriptions:
+            self.subscriptions[channel_key].discard(websocket)
+            if not self.subscriptions[channel_key]:
+                del self.subscriptions[channel_key]
+            return channel_key
+        return None
+
+
+def _graph_exec_channel_key(user_id: str, *, graph_exec_id: str) -> str:
+    return f"{user_id}|graph_exec#{graph_exec_id}"
+
+
+def _graph_execs_channel_key(user_id: str, *, graph_id: str) -> str:
+    return f"{user_id}|graph#{graph_id}|executions"
diff --git a/autogpt_platform/backend/backend/server/conn_manager_test.py b/autogpt_platform/backend/backend/server/conn_manager_test.py
new file mode 100644
index 000000000000..69d984c7f25f
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/conn_manager_test.py
@@ -0,0 +1,206 @@
+from datetime import datetime, timezone
+from unittest.mock import AsyncMock
+
+import pytest
+from fastapi import WebSocket
+
+from backend.data.execution import (
+    ExecutionStatus,
+    GraphExecutionEvent,
+    NodeExecutionEvent,
+)
+from backend.server.conn_manager import ConnectionManager
+from backend.server.model import WSMessage, WSMethod
+
+
+@pytest.fixture
+def connection_manager() -> ConnectionManager:
+    return ConnectionManager()
+
+
+@pytest.fixture
+def mock_websocket() -> AsyncMock:
+    websocket: AsyncMock = AsyncMock(spec=WebSocket)
+    websocket.send_text = AsyncMock()
+    return websocket
+
+
+@pytest.mark.asyncio
+async def test_connect(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    await connection_manager.connect_socket(mock_websocket)
+    assert mock_websocket in connection_manager.active_connections
+    mock_websocket.accept.assert_called_once()
+
+
+def test_disconnect(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    connection_manager.active_connections.add(mock_websocket)
+    connection_manager.subscriptions["test_channel_42"] = {mock_websocket}
+
+    connection_manager.disconnect_socket(mock_websocket)
+
+    assert mock_websocket not in connection_manager.active_connections
+    assert mock_websocket not in connection_manager.subscriptions["test_channel_42"]
+
+
+@pytest.mark.asyncio
+async def test_subscribe(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    await connection_manager.subscribe_graph_exec(
+        user_id="user-1",
+        graph_exec_id="graph-exec-1",
+        websocket=mock_websocket,
+    )
+    assert (
+        mock_websocket
+        in connection_manager.subscriptions["user-1|graph_exec#graph-exec-1"]
+    )
+
+
+@pytest.mark.asyncio
+async def test_unsubscribe(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    channel_key = "user-1|graph_exec#graph-exec-1"
+    connection_manager.subscriptions[channel_key] = {mock_websocket}
+
+    await connection_manager.unsubscribe_graph_exec(
+        user_id="user-1",
+        graph_exec_id="graph-exec-1",
+        websocket=mock_websocket,
+    )
+
+    assert "test_graph" not in connection_manager.subscriptions
+
+
+@pytest.mark.asyncio
+async def test_send_graph_execution_result(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    channel_key = "user-1|graph_exec#graph-exec-1"
+    connection_manager.subscriptions[channel_key] = {mock_websocket}
+    result = GraphExecutionEvent(
+        id="graph-exec-1",
+        user_id="user-1",
+        graph_id="test_graph",
+        graph_version=1,
+        status=ExecutionStatus.COMPLETED,
+        started_at=datetime.now(tz=timezone.utc),
+        ended_at=datetime.now(tz=timezone.utc),
+        stats=GraphExecutionEvent.Stats(
+            cost=0,
+            duration=1.2,
+            node_exec_time=0.5,
+            node_exec_count=2,
+        ),
+        inputs={
+            "input_1": "some input value :)",
+            "input_2": "some *other* input value",
+        },
+        outputs={
+            "the_output": ["some output value"],
+            "other_output": ["sike there was another output"],
+        },
+    )
+
+    await connection_manager.send_execution_update(result)
+
+    mock_websocket.send_text.assert_called_once_with(
+        WSMessage(
+            method=WSMethod.GRAPH_EXECUTION_EVENT,
+            channel="user-1|graph_exec#graph-exec-1",
+            data=result.model_dump(),
+        ).model_dump_json()
+    )
+
+
+@pytest.mark.asyncio
+async def test_send_node_execution_result(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    channel_key = "user-1|graph_exec#graph-exec-1"
+    connection_manager.subscriptions[channel_key] = {mock_websocket}
+    result = NodeExecutionEvent(
+        user_id="user-1",
+        graph_id="test_graph",
+        graph_version=1,
+        graph_exec_id="graph-exec-1",
+        node_exec_id="test_node_exec_id",
+        node_id="test_node_id",
+        block_id="test_block_id",
+        status=ExecutionStatus.COMPLETED,
+        input_data={"input1": "value1"},
+        output_data={"output1": ["result1"]},
+        add_time=datetime.now(tz=timezone.utc),
+        queue_time=None,
+        start_time=datetime.now(tz=timezone.utc),
+        end_time=datetime.now(tz=timezone.utc),
+    )
+
+    await connection_manager.send_execution_update(result)
+
+    mock_websocket.send_text.assert_called_once_with(
+        WSMessage(
+            method=WSMethod.NODE_EXECUTION_EVENT,
+            channel="user-1|graph_exec#graph-exec-1",
+            data=result.model_dump(),
+        ).model_dump_json()
+    )
+
+
+@pytest.mark.asyncio
+async def test_send_execution_result_user_mismatch(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    channel_key = "user-1|graph_exec#graph-exec-1"
+    connection_manager.subscriptions[channel_key] = {mock_websocket}
+    result = NodeExecutionEvent(
+        user_id="user-2",
+        graph_id="test_graph",
+        graph_version=1,
+        graph_exec_id="graph-exec-1",
+        node_exec_id="test_node_exec_id",
+        node_id="test_node_id",
+        block_id="test_block_id",
+        status=ExecutionStatus.COMPLETED,
+        input_data={"input1": "value1"},
+        output_data={"output1": ["result1"]},
+        add_time=datetime.now(tz=timezone.utc),
+        queue_time=None,
+        start_time=datetime.now(tz=timezone.utc),
+        end_time=datetime.now(tz=timezone.utc),
+    )
+
+    await connection_manager.send_execution_update(result)
+
+    mock_websocket.send_text.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_send_execution_result_no_subscribers(
+    connection_manager: ConnectionManager, mock_websocket: AsyncMock
+) -> None:
+    result = NodeExecutionEvent(
+        user_id="user-1",
+        graph_id="test_graph",
+        graph_version=1,
+        graph_exec_id="test_exec_id",
+        node_exec_id="test_node_exec_id",
+        node_id="test_node_id",
+        block_id="test_block_id",
+        status=ExecutionStatus.COMPLETED,
+        input_data={"input1": "value1"},
+        output_data={"output1": ["result1"]},
+        add_time=datetime.now(),
+        queue_time=None,
+        start_time=datetime.now(),
+        end_time=datetime.now(),
+    )
+
+    await connection_manager.send_execution_update(result)
+
+    mock_websocket.send_text.assert_not_called()
diff --git a/autogpt_platform/backend/backend/server/external/api.py b/autogpt_platform/backend/backend/server/external/api.py
new file mode 100644
index 000000000000..8ed15c138572
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/external/api.py
@@ -0,0 +1,15 @@
+from fastapi import FastAPI
+
+from backend.server.middleware.security import SecurityHeadersMiddleware
+
+from .routes.v1 import v1_router
+
+external_app = FastAPI(
+    title="AutoGPT External API",
+    description="External API for AutoGPT integrations",
+    docs_url="/docs",
+    version="1.0",
+)
+
+external_app.add_middleware(SecurityHeadersMiddleware)
+external_app.include_router(v1_router, prefix="/v1")
diff --git a/autogpt_platform/backend/backend/server/external/middleware.py b/autogpt_platform/backend/backend/server/external/middleware.py
new file mode 100644
index 000000000000..2878e3d310d1
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/external/middleware.py
@@ -0,0 +1,37 @@
+from fastapi import Depends, HTTPException, Request
+from fastapi.security import APIKeyHeader
+from prisma.enums import APIKeyPermission
+
+from backend.data.api_key import has_permission, validate_api_key
+
+api_key_header = APIKeyHeader(name="X-API-Key")
+
+
+async def require_api_key(request: Request):
+    """Base middleware for API key authentication"""
+    api_key = await api_key_header(request)
+
+    if api_key is None:
+        raise HTTPException(status_code=401, detail="Missing API key")
+
+    api_key_obj = await validate_api_key(api_key)
+
+    if not api_key_obj:
+        raise HTTPException(status_code=401, detail="Invalid API key")
+
+    request.state.api_key = api_key_obj
+    return api_key_obj
+
+
+def require_permission(permission: APIKeyPermission):
+    """Dependency function for checking specific permissions"""
+
+    async def check_permission(api_key=Depends(require_api_key)):
+        if not has_permission(api_key, permission):
+            raise HTTPException(
+                status_code=403,
+                detail=f"API key missing required permission: {permission}",
+            )
+        return api_key
+
+    return check_permission
diff --git a/autogpt_platform/backend/backend/server/external/routes/__init__.py b/autogpt_platform/backend/backend/server/external/routes/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/server/external/routes/v1.py b/autogpt_platform/backend/backend/server/external/routes/v1.py
new file mode 100644
index 000000000000..5d8d366f775c
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/external/routes/v1.py
@@ -0,0 +1,143 @@
+import logging
+from collections import defaultdict
+from typing import Annotated, Any, Optional, Sequence
+
+from fastapi import APIRouter, Body, Depends, HTTPException
+from prisma.enums import AgentExecutionStatus, APIKeyPermission
+from typing_extensions import TypedDict
+
+import backend.data.block
+from backend.data import execution as execution_db
+from backend.data import graph as graph_db
+from backend.data.api_key import APIKey
+from backend.data.block import BlockInput, CompletedBlockOutput
+from backend.executor.utils import add_graph_execution
+from backend.server.external.middleware import require_permission
+from backend.util.settings import Settings
+
+settings = Settings()
+logger = logging.getLogger(__name__)
+
+v1_router = APIRouter()
+
+
+class NodeOutput(TypedDict):
+    key: str
+    value: Any
+
+
+class ExecutionNode(TypedDict):
+    node_id: str
+    input: Any
+    output: dict[str, Any]
+
+
+class ExecutionNodeOutput(TypedDict):
+    node_id: str
+    outputs: list[NodeOutput]
+
+
+class GraphExecutionResult(TypedDict):
+    execution_id: str
+    status: str
+    nodes: list[ExecutionNode]
+    output: Optional[list[dict[str, str]]]
+
+
+@v1_router.get(
+    path="/blocks",
+    tags=["blocks"],
+    dependencies=[Depends(require_permission(APIKeyPermission.READ_BLOCK))],
+)
+def get_graph_blocks() -> Sequence[dict[Any, Any]]:
+    blocks = [block() for block in backend.data.block.get_blocks().values()]
+    return [b.to_dict() for b in blocks if not b.disabled]
+
+
+@v1_router.post(
+    path="/blocks/{block_id}/execute",
+    tags=["blocks"],
+    dependencies=[Depends(require_permission(APIKeyPermission.EXECUTE_BLOCK))],
+)
+async def execute_graph_block(
+    block_id: str,
+    data: BlockInput,
+    api_key: APIKey = Depends(require_permission(APIKeyPermission.EXECUTE_BLOCK)),
+) -> CompletedBlockOutput:
+    obj = backend.data.block.get_block(block_id)
+    if not obj:
+        raise HTTPException(status_code=404, detail=f"Block #{block_id} not found.")
+
+    output = defaultdict(list)
+    async for name, data in obj.execute(data):
+        output[name].append(data)
+    return output
+
+
+@v1_router.post(
+    path="/graphs/{graph_id}/execute/{graph_version}",
+    tags=["graphs"],
+)
+async def execute_graph(
+    graph_id: str,
+    graph_version: int,
+    node_input: Annotated[dict[str, Any], Body(..., embed=True, default_factory=dict)],
+    api_key: APIKey = Depends(require_permission(APIKeyPermission.EXECUTE_GRAPH)),
+) -> dict[str, Any]:
+    try:
+        graph_exec = await add_graph_execution(
+            graph_id=graph_id,
+            user_id=api_key.user_id,
+            inputs=node_input,
+            graph_version=graph_version,
+        )
+        return {"id": graph_exec.id}
+    except Exception as e:
+        msg = str(e).encode().decode("unicode_escape")
+        raise HTTPException(status_code=400, detail=msg)
+
+
+@v1_router.get(
+    path="/graphs/{graph_id}/executions/{graph_exec_id}/results",
+    tags=["graphs"],
+)
+async def get_graph_execution_results(
+    graph_id: str,
+    graph_exec_id: str,
+    api_key: APIKey = Depends(require_permission(APIKeyPermission.READ_GRAPH)),
+) -> GraphExecutionResult:
+    graph = await graph_db.get_graph(graph_id, user_id=api_key.user_id)
+    if not graph:
+        raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
+
+    graph_exec = await execution_db.get_graph_execution(
+        user_id=api_key.user_id,
+        execution_id=graph_exec_id,
+        include_node_executions=True,
+    )
+    if not graph_exec:
+        raise HTTPException(
+            status_code=404, detail=f"Graph execution #{graph_exec_id} not found."
+        )
+
+    return GraphExecutionResult(
+        execution_id=graph_exec_id,
+        status=graph_exec.status.value,
+        nodes=[
+            ExecutionNode(
+                node_id=node_exec.node_id,
+                input=node_exec.input_data.get("value", node_exec.input_data),
+                output={k: v for k, v in node_exec.output_data.items()},
+            )
+            for node_exec in graph_exec.node_executions
+        ],
+        output=(
+            [
+                {name: value}
+                for name, values in graph_exec.outputs.items()
+                for value in values
+            ]
+            if graph_exec.status == AgentExecutionStatus.COMPLETED
+            else None
+        ),
+    )
diff --git a/autogpt_platform/backend/backend/server/integrations/models.py b/autogpt_platform/backend/backend/server/integrations/models.py
new file mode 100644
index 000000000000..68e89ea7c262
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/integrations/models.py
@@ -0,0 +1,74 @@
+"""
+Models for integration-related data structures that need to be exposed in the OpenAPI schema.
+
+This module provides models that will be included in the OpenAPI schema generation,
+allowing frontend code generators like Orval to create corresponding TypeScript types.
+"""
+
+from pydantic import BaseModel, Field
+
+from backend.integrations.providers import ProviderName
+from backend.sdk.registry import AutoRegistry
+
+
+def get_all_provider_names() -> list[str]:
+    """
+    Collect all provider names from both ProviderName enum and AutoRegistry.
+
+    This function should be called at runtime to ensure we get all
+    dynamically registered providers.
+
+    Returns:
+        A sorted list of unique provider names.
+    """
+    # Get static providers from enum
+    static_providers = [member.value for member in ProviderName]
+
+    # Get dynamic providers from registry
+    dynamic_providers = AutoRegistry.get_all_provider_names()
+
+    # Combine and deduplicate
+    all_providers = list(set(static_providers + dynamic_providers))
+    all_providers.sort()
+
+    return all_providers
+
+
+# Note: We don't create a static enum here because providers are registered dynamically.
+# Instead, we expose provider names through API endpoints that can be fetched at runtime.
+
+
+class ProviderNamesResponse(BaseModel):
+    """Response containing list of all provider names."""
+
+    providers: list[str] = Field(
+        description="List of all available provider names",
+        default_factory=get_all_provider_names,
+    )
+
+
+class ProviderConstants(BaseModel):
+    """
+    Model that exposes all provider names as a constant in the OpenAPI schema.
+    This is designed to be converted by Orval into a TypeScript constant.
+    """
+
+    PROVIDER_NAMES: dict[str, str] = Field(
+        description="All available provider names as a constant mapping",
+        default_factory=lambda: {
+            name.upper().replace("-", "_"): name for name in get_all_provider_names()
+        },
+    )
+
+    class Config:
+        schema_extra = {
+            "example": {
+                "PROVIDER_NAMES": {
+                    "OPENAI": "openai",
+                    "ANTHROPIC": "anthropic",
+                    "EXA": "exa",
+                    "GEM": "gem",
+                    "EXAMPLE_SERVICE": "example-service",
+                }
+            }
+        }
diff --git a/autogpt_platform/backend/backend/server/integrations/router.py b/autogpt_platform/backend/backend/server/integrations/router.py
index b4964c790d69..f7ac03c4e630 100644
--- a/autogpt_platform/backend/backend/server/integrations/router.py
+++ b/autogpt_platform/backend/backend/server/integrations/router.py
@@ -1,10 +1,22 @@
+import asyncio
 import logging
-from typing import TYPE_CHECKING, Annotated, Literal
-
-from fastapi import APIRouter, Body, Depends, HTTPException, Path, Query, Request
+from datetime import datetime, timedelta, timezone
+from typing import TYPE_CHECKING, Annotated, Awaitable, List, Literal
+
+from fastapi import (
+    APIRouter,
+    Body,
+    Depends,
+    HTTPException,
+    Path,
+    Query,
+    Request,
+    status,
+)
 from pydantic import BaseModel, Field, SecretStr
+from starlette.status import HTTP_500_INTERNAL_SERVER_ERROR, HTTP_502_BAD_GATEWAY
 
-from backend.data.graph import set_node_webhook
+from backend.data.graph import get_graph, set_node_webhook
 from backend.data.integrations import (
     WebhookEvent,
     get_all_webhooks_by_creds,
@@ -13,18 +25,26 @@
     wait_for_webhook_event,
 )
 from backend.data.model import (
-    APIKeyCredentials,
     Credentials,
     CredentialsType,
+    HostScopedCredentials,
     OAuth2Credentials,
+    UserIntegrations,
 )
-from backend.executor.manager import ExecutionManager
+from backend.data.user import get_user_integrations
+from backend.executor.utils import add_graph_execution
+from backend.integrations.ayrshare import AyrshareClient, SocialPlatform
 from backend.integrations.creds_manager import IntegrationCredentialsManager
-from backend.integrations.oauth import HANDLERS_BY_NAME
+from backend.integrations.oauth import CREDENTIALS_BY_PROVIDER, HANDLERS_BY_NAME
 from backend.integrations.providers import ProviderName
-from backend.integrations.webhooks import WEBHOOK_MANAGERS_BY_NAME
-from backend.util.exceptions import NeedConfirmation
-from backend.util.service import get_service_client
+from backend.integrations.webhooks import get_webhook_manager
+from backend.server.integrations.models import (
+    ProviderConstants,
+    ProviderNamesResponse,
+    get_all_provider_names,
+)
+from backend.server.v2.library.db import set_preset_webhook, update_preset
+from backend.util.exceptions import MissingConfigError, NeedConfirmation, NotFoundError
 from backend.util.settings import Settings
 
 if TYPE_CHECKING:
@@ -45,7 +65,7 @@ class LoginResponse(BaseModel):
 
 
 @router.get("/{provider}/login")
-def login(
+async def login(
     provider: Annotated[
         ProviderName, Path(title="The provider to initiate an OAuth flow for")
     ],
@@ -60,11 +80,12 @@ def login(
     requested_scopes = scopes.split(",") if scopes else []
 
     # Generate and store a secure random state token along with the scopes
-    state_token = creds_manager.store.store_state_token(
+    state_token, code_challenge = await creds_manager.store.store_state_token(
         user_id, provider, requested_scopes
     )
-
-    login_url = handler.get_login_url(requested_scopes, state_token)
+    login_url = handler.get_login_url(
+        requested_scopes, state_token, code_challenge=code_challenge
+    )
 
     return LoginResponse(login_url=login_url, state_token=state_token)
 
@@ -76,10 +97,13 @@ class CredentialsMetaResponse(BaseModel):
     title: str | None
     scopes: list[str] | None
     username: str | None
+    host: str | None = Field(
+        default=None, description="Host pattern for host-scoped credentials"
+    )
 
 
 @router.post("/{provider}/callback")
-def callback(
+async def callback(
     provider: Annotated[
         ProviderName, Path(title="The target provider for this OAuth exchange")
     ],
@@ -92,21 +116,33 @@ def callback(
     handler = _get_provider_oauth_handler(request, provider)
 
     # Verify the state token
-    if not creds_manager.store.verify_state_token(user_id, state_token, provider):
-        logger.warning(f"Invalid or expired state token for user {user_id}")
-        raise HTTPException(status_code=400, detail="Invalid or expired state token")
+    valid_state = await creds_manager.store.verify_state_token(
+        user_id, state_token, provider
+    )
 
-    try:
-        scopes = creds_manager.store.get_any_valid_scopes_from_state_token(
-            user_id, state_token, provider
+    if not valid_state:
+        logger.warning(f"Invalid or expired state token for user {user_id}")
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="Invalid or expired state token",
         )
+    try:
+        scopes = valid_state.scopes
         logger.debug(f"Retrieved scopes from state token: {scopes}")
 
         scopes = handler.handle_default_scopes(scopes)
 
-        credentials = handler.exchange_code_for_tokens(code, scopes)
+        credentials = await handler.exchange_code_for_tokens(
+            code, scopes, valid_state.code_verifier
+        )
+
         logger.debug(f"Received credentials with final scopes: {credentials.scopes}")
 
+        # Linear returns scopes as a single string with spaces, so we need to split them
+        # TODO: make a bypass of this part of the OAuth handler
+        if len(credentials.scopes) == 1 and " " in credentials.scopes[0]:
+            credentials.scopes = credentials.scopes[0].split(" ")
+
         # Check if the granted scopes are sufficient for the requested scopes
         if not set(scopes).issubset(set(credentials.scopes)):
             # For now, we'll just log the warning and continue
@@ -116,13 +152,16 @@ def callback(
             )
 
     except Exception as e:
-        logger.error(f"Code->Token exchange failed for provider {provider.value}: {e}")
+        logger.error(
+            f"OAuth2 Code->Token exchange failed for provider {provider.value}: {e}"
+        )
         raise HTTPException(
-            status_code=400, detail=f"Failed to exchange code for tokens: {str(e)}"
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=f"OAuth2 callback failed to exchange code for tokens: {str(e)}",
         )
 
     # TODO: Allow specifying `title` to set on `credentials`
-    creds_manager.create(user_id, credentials)
+    await creds_manager.create(user_id, credentials)
 
     logger.debug(
         f"Successfully processed OAuth callback for user {user_id} "
@@ -135,14 +174,17 @@ def callback(
         title=credentials.title,
         scopes=credentials.scopes,
         username=credentials.username,
+        host=(
+            credentials.host if isinstance(credentials, HostScopedCredentials) else None
+        ),
     )
 
 
 @router.get("/credentials")
-def list_credentials(
+async def list_credentials(
     user_id: Annotated[str, Depends(get_user_id)],
 ) -> list[CredentialsMetaResponse]:
-    credentials = creds_manager.store.get_all_creds(user_id)
+    credentials = await creds_manager.store.get_all_creds(user_id)
     return [
         CredentialsMetaResponse(
             id=cred.id,
@@ -151,19 +193,20 @@ def list_credentials(
             title=cred.title,
             scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
             username=cred.username if isinstance(cred, OAuth2Credentials) else None,
+            host=cred.host if isinstance(cred, HostScopedCredentials) else None,
         )
         for cred in credentials
     ]
 
 
 @router.get("/{provider}/credentials")
-def list_credentials_by_provider(
+async def list_credentials_by_provider(
     provider: Annotated[
         ProviderName, Path(title="The provider to list credentials for")
     ],
     user_id: Annotated[str, Depends(get_user_id)],
 ) -> list[CredentialsMetaResponse]:
-    credentials = creds_manager.store.get_creds_by_provider(user_id, provider)
+    credentials = await creds_manager.store.get_creds_by_provider(user_id, provider)
     return [
         CredentialsMetaResponse(
             id=cred.id,
@@ -172,55 +215,50 @@ def list_credentials_by_provider(
             title=cred.title,
             scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
             username=cred.username if isinstance(cred, OAuth2Credentials) else None,
+            host=cred.host if isinstance(cred, HostScopedCredentials) else None,
         )
         for cred in credentials
     ]
 
 
 @router.get("/{provider}/credentials/{cred_id}")
-def get_credential(
+async def get_credential(
     provider: Annotated[
         ProviderName, Path(title="The provider to retrieve credentials for")
     ],
     cred_id: Annotated[str, Path(title="The ID of the credentials to retrieve")],
     user_id: Annotated[str, Depends(get_user_id)],
 ) -> Credentials:
-    credential = creds_manager.get(user_id, cred_id)
+    credential = await creds_manager.get(user_id, cred_id)
     if not credential:
-        raise HTTPException(status_code=404, detail="Credentials not found")
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
+        )
     if credential.provider != provider:
         raise HTTPException(
-            status_code=404, detail="Credentials do not match the specified provider"
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail="Credentials do not match the specified provider",
         )
     return credential
 
 
 @router.post("/{provider}/credentials", status_code=201)
-def create_api_key_credentials(
+async def create_credentials(
     user_id: Annotated[str, Depends(get_user_id)],
     provider: Annotated[
         ProviderName, Path(title="The provider to create credentials for")
     ],
-    api_key: Annotated[str, Body(title="The API key to store")],
-    title: Annotated[str, Body(title="Optional title for the credentials")],
-    expires_at: Annotated[
-        int | None, Body(title="Unix timestamp when the key expires")
-    ] = None,
-) -> APIKeyCredentials:
-    new_credentials = APIKeyCredentials(
-        provider=provider,
-        api_key=SecretStr(api_key),
-        title=title,
-        expires_at=expires_at,
-    )
-
+    credentials: Credentials,
+) -> Credentials:
+    credentials.provider = provider
     try:
-        creds_manager.create(user_id, new_credentials)
+        await creds_manager.create(user_id, credentials)
     except Exception as e:
         raise HTTPException(
-            status_code=500, detail=f"Failed to store credentials: {str(e)}"
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to store credentials: {str(e)}",
         )
-    return new_credentials
+    return credentials
 
 
 class CredentialsDeletionResponse(BaseModel):
@@ -238,6 +276,11 @@ class CredentialsDeletionNeedsConfirmationResponse(BaseModel):
     message: str
 
 
+class AyrshareSSOResponse(BaseModel):
+    sso_url: str = Field(..., description="The SSO URL for Ayrshare integration")
+    expires_at: datetime = Field(..., description="ISO timestamp when the URL expires")
+
+
 @router.delete("/{provider}/credentials/{cred_id}")
 async def delete_credentials(
     request: Request,
@@ -250,25 +293,28 @@ async def delete_credentials(
         bool, Query(title="Whether to proceed if any linked webhooks are still in use")
     ] = False,
 ) -> CredentialsDeletionResponse | CredentialsDeletionNeedsConfirmationResponse:
-    creds = creds_manager.store.get_creds_by_id(user_id, cred_id)
+    creds = await creds_manager.store.get_creds_by_id(user_id, cred_id)
     if not creds:
-        raise HTTPException(status_code=404, detail="Credentials not found")
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
+        )
     if creds.provider != provider:
         raise HTTPException(
-            status_code=404, detail="Credentials do not match the specified provider"
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail="Credentials do not match the specified provider",
         )
 
     try:
-        await remove_all_webhooks_for_credentials(creds, force)
+        await remove_all_webhooks_for_credentials(user_id, creds, force)
     except NeedConfirmation as e:
         return CredentialsDeletionNeedsConfirmationResponse(message=str(e))
 
-    creds_manager.delete(user_id, cred_id)
+    await creds_manager.delete(user_id, cred_id)
 
     tokens_revoked = None
     if isinstance(creds, OAuth2Credentials):
         handler = _get_provider_oauth_handler(request, provider)
-        tokens_revoked = handler.revoke_tokens(creds)
+        tokens_revoked = await handler.revoke_tokens(creds)
 
     return CredentialsDeletionResponse(revoked=tokens_revoked)
 
@@ -288,10 +334,22 @@ async def webhook_ingress_generic(
     webhook_id: Annotated[str, Path(title="Our ID for the webhook")],
 ):
     logger.debug(f"Received {provider.value} webhook ingress for ID {webhook_id}")
-    webhook_manager = WEBHOOK_MANAGERS_BY_NAME[provider]()
-    webhook = await get_webhook(webhook_id)
+    webhook_manager = get_webhook_manager(provider)
+    try:
+        webhook = await get_webhook(webhook_id, include_relations=True)
+        user_id = webhook.user_id
+        credentials = (
+            await creds_manager.get(user_id, webhook.credentials_id)
+            if webhook.credentials_id
+            else None
+        )
+    except NotFoundError as e:
+        logger.warning(f"Webhook payload received for unknown webhook #{webhook_id}")
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
     logger.debug(f"Webhook #{webhook_id}: {webhook}")
-    payload, event_type = await webhook_manager.validate_payload(webhook, request)
+    payload, event_type = await webhook_manager.validate_payload(
+        webhook, request, credentials
+    )
     logger.debug(
         f"Validated {provider.value} {webhook.webhook_type} {event_type} event "
         f"with payload {payload}"
@@ -306,21 +364,66 @@ async def webhook_ingress_generic(
     await publish_webhook_event(webhook_event)
     logger.debug(f"Webhook event published: {webhook_event}")
 
-    if not webhook.attached_nodes:
+    if not (webhook.triggered_nodes or webhook.triggered_presets):
         return
 
-    executor = get_service_client(ExecutionManager)
-    for node in webhook.attached_nodes:
+    executions: list[Awaitable] = []
+    for node in webhook.triggered_nodes:
         logger.debug(f"Webhook-attached node: {node}")
         if not node.is_triggered_by_event_type(event_type):
             logger.debug(f"Node #{node.id} doesn't trigger on event {event_type}")
             continue
         logger.debug(f"Executing graph #{node.graph_id} node #{node.id}")
-        executor.add_execution(
-            node.graph_id,
-            data={f"webhook_{webhook_id}_payload": payload},
-            user_id=webhook.user_id,
+        executions.append(
+            add_graph_execution(
+                user_id=webhook.user_id,
+                graph_id=node.graph_id,
+                graph_version=node.graph_version,
+                nodes_input_masks={node.id: {"payload": payload}},
+            )
         )
+    for preset in webhook.triggered_presets:
+        logger.debug(f"Webhook-attached preset: {preset}")
+        if not preset.is_active:
+            logger.debug(f"Preset #{preset.id} is inactive")
+            continue
+
+        graph = await get_graph(preset.graph_id, preset.graph_version, webhook.user_id)
+        if not graph:
+            logger.error(
+                f"User #{webhook.user_id} has preset #{preset.id} for graph "
+                f"#{preset.graph_id} v{preset.graph_version}, "
+                "but no access to the graph itself."
+            )
+            logger.info(f"Automatically deactivating broken preset #{preset.id}")
+            await update_preset(preset.user_id, preset.id, is_active=False)
+            continue
+        if not (trigger_node := graph.webhook_input_node):
+            # NOTE: this should NEVER happen, but we log and handle it gracefully
+            logger.error(
+                f"Preset #{preset.id} is triggered by webhook #{webhook.id}, but graph "
+                f"#{preset.graph_id} v{preset.graph_version} has no webhook input node"
+            )
+            await set_preset_webhook(preset.user_id, preset.id, None)
+            continue
+        if not trigger_node.block.is_triggered_by_event_type(preset.inputs, event_type):
+            logger.debug(f"Preset #{preset.id} doesn't trigger on event {event_type}")
+            continue
+        logger.debug(f"Executing preset #{preset.id} for webhook #{webhook.id}")
+
+        executions.append(
+            add_graph_execution(
+                user_id=webhook.user_id,
+                graph_id=preset.graph_id,
+                preset_id=preset.id,
+                graph_version=preset.graph_version,
+                graph_credentials_inputs=preset.credentials,
+                nodes_input_masks={
+                    trigger_node.id: {**preset.inputs, "payload": payload}
+                },
+            )
+        )
+    asyncio.gather(*executions)
 
 
 @router.post("/webhooks/{webhook_id}/ping")
@@ -329,10 +432,10 @@ async def webhook_ping(
     user_id: Annotated[str, Depends(get_user_id)],  # require auth
 ):
     webhook = await get_webhook(webhook_id)
-    webhook_manager = WEBHOOK_MANAGERS_BY_NAME[webhook.provider]()
+    webhook_manager = get_webhook_manager(webhook.provider)
 
     credentials = (
-        creds_manager.get(user_id, webhook.credentials_id)
+        await creds_manager.get(user_id, webhook.credentials_id)
         if webhook.credentials_id
         else None
     )
@@ -342,7 +445,9 @@ async def webhook_ping(
         return False
 
     if not await wait_for_webhook_event(webhook_id, event_type="ping", timeout=10):
-        raise HTTPException(status_code=504, detail="Webhook ping timed out")
+        raise HTTPException(
+            status_code=status.HTTP_504_GATEWAY_TIMEOUT, detail="Webhook ping timed out"
+        )
 
     return True
 
@@ -351,40 +456,37 @@ async def webhook_ping(
 
 
 async def remove_all_webhooks_for_credentials(
-    credentials: Credentials, force: bool = False
+    user_id: str, credentials: Credentials, force: bool = False
 ) -> None:
     """
     Remove and deregister all webhooks that were registered using the given credentials.
 
     Params:
+        user_id: The ID of the user who owns the credentials and webhooks.
         credentials: The credentials for which to remove the associated webhooks.
         force: Whether to proceed if any of the webhooks are still in use.
 
     Raises:
         NeedConfirmation: If any of the webhooks are still in use and `force` is `False`
     """
-    webhooks = await get_all_webhooks_by_creds(credentials.id)
-    if credentials.provider not in WEBHOOK_MANAGERS_BY_NAME:
-        if webhooks:
-            logger.error(
-                f"Credentials #{credentials.id} for provider {credentials.provider} "
-                f"are attached to {len(webhooks)} webhooks, "
-                f"but there is no available WebhooksHandler for {credentials.provider}"
-            )
-        return
-    if any(w.attached_nodes for w in webhooks) and not force:
+    webhooks = await get_all_webhooks_by_creds(
+        user_id, credentials.id, include_relations=True
+    )
+    if any(w.triggered_nodes or w.triggered_presets for w in webhooks) and not force:
         raise NeedConfirmation(
             "Some webhooks linked to these credentials are still in use by an agent"
         )
     for webhook in webhooks:
-        # Unlink all nodes
-        for node in webhook.attached_nodes or []:
+        # Unlink all nodes & presets
+        for node in webhook.triggered_nodes:
             await set_node_webhook(node.id, None)
+        for preset in webhook.triggered_presets:
+            await set_preset_webhook(user_id, preset.id, None)
 
         # Prune the webhook
-        webhook_manager = WEBHOOK_MANAGERS_BY_NAME[credentials.provider]()
+        webhook_manager = get_webhook_manager(ProviderName(credentials.provider))
         success = await webhook_manager.prune_webhook_if_dangling(
-            webhook.id, credentials
+            user_id, webhook.id, credentials
         )
         if not success:
             logger.warning(f"Webhook #{webhook.id} failed to prune")
@@ -393,30 +495,223 @@ async def remove_all_webhooks_for_credentials(
 def _get_provider_oauth_handler(
     req: Request, provider_name: ProviderName
 ) -> "BaseOAuthHandler":
-    if provider_name not in HANDLERS_BY_NAME:
+    # Ensure blocks are loaded so SDK providers are available
+    try:
+        from backend.blocks import load_all_blocks
+
+        load_all_blocks()  # This is cached, so it only runs once
+    except Exception as e:
+        logger.warning(f"Failed to load blocks: {e}")
+
+    # Convert provider_name to string for lookup
+    provider_key = (
+        provider_name.value if hasattr(provider_name, "value") else str(provider_name)
+    )
+
+    if provider_key not in HANDLERS_BY_NAME:
         raise HTTPException(
-            status_code=404,
-            detail=f"Provider '{provider_name.value}' does not support OAuth",
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=f"Provider '{provider_key}' does not support OAuth",
+        )
+
+    # Check if this provider has custom OAuth credentials
+    oauth_credentials = CREDENTIALS_BY_PROVIDER.get(provider_key)
+
+    if oauth_credentials and not oauth_credentials.use_secrets:
+        # SDK provider with custom env vars
+        import os
+
+        client_id = (
+            os.getenv(oauth_credentials.client_id_env_var)
+            if oauth_credentials.client_id_env_var
+            else None
+        )
+        client_secret = (
+            os.getenv(oauth_credentials.client_secret_env_var)
+            if oauth_credentials.client_secret_env_var
+            else None
+        )
+    else:
+        # Original provider using settings.secrets
+        client_id = getattr(settings.secrets, f"{provider_name.value}_client_id", None)
+        client_secret = getattr(
+            settings.secrets, f"{provider_name.value}_client_secret", None
         )
 
-    client_id = getattr(settings.secrets, f"{provider_name.value}_client_id")
-    client_secret = getattr(settings.secrets, f"{provider_name.value}_client_secret")
     if not (client_id and client_secret):
+        logger.error(
+            f"Attempt to use unconfigured {provider_name.value} OAuth integration"
+        )
         raise HTTPException(
-            status_code=501,
-            detail=(
-                f"Integration with provider '{provider_name.value}' is not configured"
-            ),
+            status_code=status.HTTP_501_NOT_IMPLEMENTED,
+            detail={
+                "message": f"Integration with provider '{provider_name.value}' is not configured.",
+                "hint": "Set client ID and secret in the application's deployment environment",
+            },
+        )
+
+    handler_class = HANDLERS_BY_NAME[provider_key]
+    frontend_base_url = settings.config.frontend_base_url
+
+    if not frontend_base_url:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="Frontend base URL is not configured",
         )
 
-    handler_class = HANDLERS_BY_NAME[provider_name]
-    frontend_base_url = (
-        settings.config.frontend_base_url
-        or settings.config.platform_base_url
-        or str(req.base_url)
-    )
     return handler_class(
         client_id=client_id,
         client_secret=client_secret,
         redirect_uri=f"{frontend_base_url}/auth/integrations/oauth_callback",
     )
+
+
+@router.get("/ayrshare/sso_url")
+async def get_ayrshare_sso_url(
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> AyrshareSSOResponse:
+    """
+    Generate an SSO URL for Ayrshare social media integration.
+
+    Returns:
+        dict: Contains the SSO URL for Ayrshare integration
+    """
+    try:
+        client = AyrshareClient()
+    except MissingConfigError:
+        raise HTTPException(
+            status_code=HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="Ayrshare integration is not configured",
+        )
+
+    # Ayrshare profile key is stored in the credentials store
+    # It is generated when creating a new profile, if there is no profile key,
+    # we create a new profile and store the profile key in the credentials store
+
+    user_integrations: UserIntegrations = await get_user_integrations(user_id)
+    profile_key = user_integrations.managed_credentials.ayrshare_profile_key
+
+    if not profile_key:
+        logger.debug(f"Creating new Ayrshare profile for user {user_id}")
+        try:
+            profile = await client.create_profile(
+                title=f"User {user_id}", messaging_active=True
+            )
+            profile_key = profile.profileKey
+            await creds_manager.store.set_ayrshare_profile_key(user_id, profile_key)
+        except Exception as e:
+            logger.error(f"Error creating Ayrshare profile for user {user_id}: {e}")
+            raise HTTPException(
+                status_code=HTTP_502_BAD_GATEWAY,
+                detail="Failed to create Ayrshare profile",
+            )
+    else:
+        logger.debug(f"Using existing Ayrshare profile for user {user_id}")
+
+    profile_key_str = (
+        profile_key.get_secret_value()
+        if isinstance(profile_key, SecretStr)
+        else str(profile_key)
+    )
+
+    private_key = settings.secrets.ayrshare_jwt_key
+    # Ayrshare JWT expiry is 2880 minutes (48 hours)
+    max_expiry_minutes = 2880
+    try:
+        logger.debug(f"Generating Ayrshare JWT for user {user_id}")
+        jwt_response = await client.generate_jwt(
+            private_key=private_key,
+            profile_key=profile_key_str,
+            allowed_social=[
+                # NOTE: We are enabling platforms one at a time
+                # to speed up the development process
+                # SocialPlatform.FACEBOOK,
+                SocialPlatform.TWITTER,
+                SocialPlatform.LINKEDIN,
+                SocialPlatform.INSTAGRAM,
+                SocialPlatform.YOUTUBE,
+                # SocialPlatform.REDDIT,
+                # SocialPlatform.TELEGRAM,
+                # SocialPlatform.GOOGLE_MY_BUSINESS,
+                # SocialPlatform.PINTEREST,
+                SocialPlatform.TIKTOK,
+                # SocialPlatform.BLUESKY,
+                # SocialPlatform.SNAPCHAT,
+                # SocialPlatform.THREADS,
+            ],
+            expires_in=max_expiry_minutes,
+            verify=True,
+        )
+    except Exception as e:
+        logger.error(f"Error generating Ayrshare JWT for user {user_id}: {e}")
+        raise HTTPException(
+            status_code=HTTP_502_BAD_GATEWAY, detail="Failed to generate JWT"
+        )
+
+    expires_at = datetime.now(timezone.utc) + timedelta(minutes=max_expiry_minutes)
+    return AyrshareSSOResponse(sso_url=jwt_response.url, expires_at=expires_at)
+
+
+# === PROVIDER DISCOVERY ENDPOINTS ===
+@router.get("/providers", response_model=List[str])
+async def list_providers() -> List[str]:
+    """
+    Get a list of all available provider names.
+
+    Returns both statically defined providers (from ProviderName enum)
+    and dynamically registered providers (from SDK decorators).
+
+    Note: The complete list of provider names is also available as a constant
+    in the generated TypeScript client via PROVIDER_NAMES.
+    """
+    # Get all providers at runtime
+    all_providers = get_all_provider_names()
+    return all_providers
+
+
+@router.get("/providers/names", response_model=ProviderNamesResponse)
+async def get_provider_names() -> ProviderNamesResponse:
+    """
+    Get all provider names in a structured format.
+
+    This endpoint is specifically designed to expose the provider names
+    in the OpenAPI schema so that code generators like Orval can create
+    appropriate TypeScript constants.
+    """
+    return ProviderNamesResponse()
+
+
+@router.get("/providers/constants", response_model=ProviderConstants)
+async def get_provider_constants() -> ProviderConstants:
+    """
+    Get provider names as constants.
+
+    This endpoint returns a model with provider names as constants,
+    specifically designed for OpenAPI code generation tools to create
+    TypeScript constants.
+    """
+    return ProviderConstants()
+
+
+class ProviderEnumResponse(BaseModel):
+    """Response containing a provider from the enum."""
+
+    provider: str = Field(
+        description="A provider name from the complete list of providers"
+    )
+
+
+@router.get("/providers/enum-example", response_model=ProviderEnumResponse)
+async def get_provider_enum_example() -> ProviderEnumResponse:
+    """
+    Example endpoint that uses the CompleteProviderNames enum.
+
+    This endpoint exists to ensure that the CompleteProviderNames enum is included
+    in the OpenAPI schema, which will cause Orval to generate it as a
+    TypeScript enum/constant.
+    """
+    # Return the first provider as an example
+    all_providers = get_all_provider_names()
+    return ProviderEnumResponse(
+        provider=all_providers[0] if all_providers else "openai"
+    )
diff --git a/autogpt_platform/backend/backend/server/integrations/utils.py b/autogpt_platform/backend/backend/server/integrations/utils.py
deleted file mode 100644
index 0fa1052e5be0..000000000000
--- a/autogpt_platform/backend/backend/server/integrations/utils.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from supabase import Client, create_client
-
-from backend.util.settings import Settings
-
-settings = Settings()
-
-
-def get_supabase() -> Client:
-    return create_client(
-        settings.secrets.supabase_url, settings.secrets.supabase_service_role_key
-    )
diff --git a/autogpt_platform/backend/backend/server/middleware/security.py b/autogpt_platform/backend/backend/server/middleware/security.py
new file mode 100644
index 000000000000..e6e23467ca48
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/middleware/security.py
@@ -0,0 +1,93 @@
+import re
+from typing import Set
+
+from fastapi import Request, Response
+from starlette.middleware.base import BaseHTTPMiddleware
+from starlette.types import ASGIApp
+
+
+class SecurityHeadersMiddleware(BaseHTTPMiddleware):
+    """
+    Middleware to add security headers to responses, with cache control
+    disabled by default for all endpoints except those explicitly allowed.
+    """
+
+    CACHEABLE_PATHS: Set[str] = {
+        # Static assets
+        "/static",
+        "/_next/static",
+        "/assets",
+        "/images",
+        "/css",
+        "/js",
+        "/fonts",
+        # Public API endpoints
+        "/api/health",
+        "/api/v1/health",
+        "/api/status",
+        # Public store/marketplace pages (read-only)
+        "/api/store/agents",
+        "/api/v1/store/agents",
+        "/api/store/categories",
+        "/api/v1/store/categories",
+        "/api/store/featured",
+        "/api/v1/store/featured",
+        # Public graph templates (read-only, no user data)
+        "/api/graphs/templates",
+        "/api/v1/graphs/templates",
+        # Documentation endpoints
+        "/api/docs",
+        "/api/v1/docs",
+        "/docs",
+        "/swagger",
+        "/openapi.json",
+        # Favicon and manifest
+        "/favicon.ico",
+        "/manifest.json",
+        "/robots.txt",
+        "/sitemap.xml",
+    }
+
+    def __init__(self, app: ASGIApp):
+        super().__init__(app)
+        # Compile regex patterns for wildcard matching
+        self.cacheable_patterns = [
+            re.compile(pattern.replace("*", "[^/]+"))
+            for pattern in self.CACHEABLE_PATHS
+            if "*" in pattern
+        ]
+        self.exact_paths = {path for path in self.CACHEABLE_PATHS if "*" not in path}
+
+    def is_cacheable_path(self, path: str) -> bool:
+        """Check if the given path is allowed to be cached."""
+        # Check exact matches first
+        for cacheable_path in self.exact_paths:
+            if path.startswith(cacheable_path):
+                return True
+
+        # Check pattern matches
+        for pattern in self.cacheable_patterns:
+            if pattern.match(path):
+                return True
+
+        return False
+
+    async def dispatch(self, request: Request, call_next):
+        response: Response = await call_next(request)
+
+        # Add general security headers
+        response.headers["X-Content-Type-Options"] = "nosniff"
+        response.headers["X-Frame-Options"] = "DENY"
+        response.headers["X-XSS-Protection"] = "1; mode=block"
+        response.headers["Referrer-Policy"] = "strict-origin-when-cross-origin"
+
+        # Default: Disable caching for all endpoints
+        # Only allow caching for explicitly permitted paths
+        if not self.is_cacheable_path(request.url.path):
+            response.headers["Cache-Control"] = (
+                "no-store, no-cache, must-revalidate, private"
+            )
+            response.headers["Pragma"] = "no-cache"
+            response.headers["Expires"] = "0"
+
+        return response
diff --git a/autogpt_platform/backend/backend/server/middleware/security_test.py b/autogpt_platform/backend/backend/server/middleware/security_test.py
new file mode 100644
index 000000000000..462e5b27ed02
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/middleware/security_test.py
@@ -0,0 +1,143 @@
+import pytest
+from fastapi import FastAPI
+from fastapi.testclient import TestClient
+from starlette.applications import Starlette
+
+from backend.server.middleware.security import SecurityHeadersMiddleware
+
+
+@pytest.fixture
+def app():
+    """Create a test FastAPI app with security middleware."""
+    app = FastAPI()
+    app.add_middleware(SecurityHeadersMiddleware)
+
+    @app.get("/api/auth/user")
+    def get_user():
+        return {"user": "test"}
+
+    @app.get("/api/v1/integrations/oauth/google")
+    def oauth_endpoint():
+        return {"oauth": "data"}
+
+    @app.get("/api/graphs/123/execute")
+    def execute_graph():
+        return {"execution": "data"}
+
+    @app.get("/api/integrations/credentials")
+    def get_credentials():
+        return {"credentials": "sensitive"}
+
+    @app.get("/api/store/agents")
+    def store_agents():
+        return {"agents": "public list"}
+
+    @app.get("/api/health")
+    def health_check():
+        return {"status": "ok"}
+
+    @app.get("/static/logo.png")
+    def static_file():
+        return {"static": "content"}
+
+    return app
+
+
+@pytest.fixture
+def client(app):
+    """Create a test client."""
+    return TestClient(app)
+
+
+def test_non_cacheable_endpoints_have_cache_control_headers(client):
+    """Test that non-cacheable endpoints (most endpoints) have proper cache control headers."""
+    non_cacheable_endpoints = [
+        "/api/auth/user",
+        "/api/v1/integrations/oauth/google",
+        "/api/graphs/123/execute",
+        "/api/integrations/credentials",
+    ]
+
+    for endpoint in non_cacheable_endpoints:
+        response = client.get(endpoint)
+
+        # Check cache control headers are present (default behavior)
+        assert (
+            response.headers["Cache-Control"]
+            == "no-store, no-cache, must-revalidate, private"
+        )
+        assert response.headers["Pragma"] == "no-cache"
+        assert response.headers["Expires"] == "0"
+
+        # Check general security headers
+        assert response.headers["X-Content-Type-Options"] == "nosniff"
+        assert response.headers["X-Frame-Options"] == "DENY"
+        assert response.headers["X-XSS-Protection"] == "1; mode=block"
+        assert response.headers["Referrer-Policy"] == "strict-origin-when-cross-origin"
+
+
+def test_cacheable_endpoints_dont_have_cache_control_headers(client):
+    """Test that explicitly cacheable endpoints don't have restrictive cache control headers."""
+    cacheable_endpoints = [
+        "/api/store/agents",
+        "/api/health",
+        "/static/logo.png",
+    ]
+
+    for endpoint in cacheable_endpoints:
+        response = client.get(endpoint)
+
+        # Should NOT have restrictive cache control headers
+        assert (
+            "Cache-Control" not in response.headers
+            or "no-store" not in response.headers.get("Cache-Control", "")
+        )
+        assert (
+            "Pragma" not in response.headers
+            or response.headers.get("Pragma") != "no-cache"
+        )
+        assert (
+            "Expires" not in response.headers or response.headers.get("Expires") != "0"
+        )
+
+        # Should still have general security headers
+        assert response.headers["X-Content-Type-Options"] == "nosniff"
+        assert response.headers["X-Frame-Options"] == "DENY"
+        assert response.headers["X-XSS-Protection"] == "1; mode=block"
+        assert response.headers["Referrer-Policy"] == "strict-origin-when-cross-origin"
+
+
+def test_is_cacheable_path_detection():
+    """Test the path detection logic."""
+    middleware = SecurityHeadersMiddleware(Starlette())
+
+    # Test cacheable paths (allow list)
+    assert middleware.is_cacheable_path("/api/health")
+    assert middleware.is_cacheable_path("/api/v1/health")
+    assert middleware.is_cacheable_path("/static/image.png")
+    assert middleware.is_cacheable_path("/api/store/agents")
+    assert middleware.is_cacheable_path("/docs")
+    assert middleware.is_cacheable_path("/favicon.ico")
+
+    # Test non-cacheable paths (everything else)
+    assert not middleware.is_cacheable_path("/api/auth/user")
+    assert not middleware.is_cacheable_path("/api/v1/integrations/oauth/callback")
+    assert not middleware.is_cacheable_path("/api/integrations/credentials/123")
+    assert not middleware.is_cacheable_path("/api/graphs/abc123/execute")
+    assert not middleware.is_cacheable_path("/api/store/xyz/submissions")
+
+
+def test_path_prefix_matching():
+    """Test that path prefix matching works correctly."""
+    middleware = SecurityHeadersMiddleware(Starlette())
+
+    # Test that paths starting with cacheable prefixes are cacheable
+    assert middleware.is_cacheable_path("/static/css/style.css")
+    assert middleware.is_cacheable_path("/static/js/app.js")
+    assert middleware.is_cacheable_path("/assets/images/logo.png")
+    assert middleware.is_cacheable_path("/_next/static/chunks/main.js")
+
+    # Test that other API paths are not cacheable by default
+    assert not middleware.is_cacheable_path("/api/users/profile")
+    assert not middleware.is_cacheable_path("/api/v1/private/data")
+    assert not middleware.is_cacheable_path("/api/billing/subscription")
diff --git a/autogpt_platform/backend/backend/server/model.py b/autogpt_platform/backend/backend/server/model.py
index 7c554b445c53..8085cb3a81e5 100644
--- a/autogpt_platform/backend/backend/server/model.py
+++ b/autogpt_platform/backend/backend/server/model.py
@@ -1,47 +1,50 @@
 import enum
-from typing import Any, List, Optional, Union
+from typing import Any, Optional
 
 import pydantic
 
-import backend.data.graph
 from backend.data.api_key import APIKeyPermission, APIKeyWithoutHash
+from backend.data.graph import Graph
+from backend.util.timezone_name import TimeZoneName
 
 
-class Methods(enum.Enum):
-    SUBSCRIBE = "subscribe"
+class WSMethod(enum.Enum):
+    SUBSCRIBE_GRAPH_EXEC = "subscribe_graph_execution"
+    SUBSCRIBE_GRAPH_EXECS = "subscribe_graph_executions"
     UNSUBSCRIBE = "unsubscribe"
-    EXECUTION_EVENT = "execution_event"
+    GRAPH_EXECUTION_EVENT = "graph_execution_event"
+    NODE_EXECUTION_EVENT = "node_execution_event"
     ERROR = "error"
     HEARTBEAT = "heartbeat"
 
 
-class WsMessage(pydantic.BaseModel):
-    method: Methods
-    data: Optional[Union[dict[str, Any], list[Any], str]] = None
+class WSMessage(pydantic.BaseModel):
+    method: WSMethod
+    data: Optional[dict[str, Any] | list[Any] | str] = None
     success: bool | None = None
     channel: str | None = None
     error: str | None = None
 
 
-class ExecutionSubscription(pydantic.BaseModel):
-    graph_id: str
+class WSSubscribeGraphExecutionRequest(pydantic.BaseModel):
+    graph_exec_id: str
 
 
-class SubscriptionDetails(pydantic.BaseModel):
-    event_type: str
-    channel: str
+class WSSubscribeGraphExecutionsRequest(pydantic.BaseModel):
     graph_id: str
 
 
+class ExecuteGraphResponse(pydantic.BaseModel):
+    graph_exec_id: str
+
+
 class CreateGraph(pydantic.BaseModel):
-    template_id: str | None = None
-    template_version: int | None = None
-    graph: backend.data.graph.Graph | None = None
+    graph: Graph
 
 
 class CreateAPIKeyRequest(pydantic.BaseModel):
     name: str
-    permissions: List[APIKeyPermission]
+    permissions: list[APIKeyPermission]
     description: Optional[str] = None
 
 
@@ -55,4 +58,25 @@ class SetGraphActiveVersion(pydantic.BaseModel):
 
 
 class UpdatePermissionsRequest(pydantic.BaseModel):
-    permissions: List[APIKeyPermission]
+    permissions: list[APIKeyPermission]
+
+
+class RequestTopUp(pydantic.BaseModel):
+    credit_amount: int
+
+
+class UploadFileResponse(pydantic.BaseModel):
+    file_uri: str
+    file_name: str
+    size: int
+    content_type: str
+    expires_in_hours: int
+
+
+class TimezoneResponse(pydantic.BaseModel):
+    # Allow "not-set" as a special value, or any valid IANA timezone
+    timezone: TimeZoneName | str
+
+
+class UpdateTimezoneRequest(pydantic.BaseModel):
+    timezone: TimeZoneName
diff --git a/autogpt_platform/backend/backend/server/rest_api.py b/autogpt_platform/backend/backend/server/rest_api.py
index c5be1c179260..deeb85c39444 100644
--- a/autogpt_platform/backend/backend/server/rest_api.py
+++ b/autogpt_platform/backend/backend/server/rest_api.py
@@ -1,25 +1,45 @@
 import contextlib
 import logging
-import typing
+from enum import Enum
+from typing import Any, Optional
 
+import autogpt_libs.auth.models
 import fastapi
 import fastapi.responses
+import pydantic
 import starlette.middleware.cors
 import uvicorn
-from autogpt_libs.feature_flag.client import (
-    initialize_launchdarkly,
-    shutdown_launchdarkly,
-)
+from fastapi.exceptions import RequestValidationError
+from fastapi.routing import APIRoute
 
 import backend.data.block
 import backend.data.db
 import backend.data.graph
 import backend.data.user
+import backend.server.routers.postmark.postmark
 import backend.server.routers.v1
+import backend.server.v2.admin.credit_admin_routes
+import backend.server.v2.admin.store_admin_routes
+import backend.server.v2.builder
+import backend.server.v2.builder.routes
+import backend.server.v2.library.db
+import backend.server.v2.library.model
 import backend.server.v2.library.routes
+import backend.server.v2.otto.routes
+import backend.server.v2.store.model
 import backend.server.v2.store.routes
+import backend.server.v2.turnstile.routes
 import backend.util.service
 import backend.util.settings
+from backend.blocks.llm import LlmModel
+from backend.data.model import Credentials
+from backend.integrations.providers import ProviderName
+from backend.server.external.api import external_app
+from backend.server.middleware.security import SecurityHeadersMiddleware
+from backend.util import json
+from backend.util.cloud_storage import shutdown_cloud_storage_handler
+from backend.util.feature_flag import initialize_launchdarkly, shutdown_launchdarkly
+from backend.util.service import UnhealthyServiceError
 
 settings = backend.util.settings.Settings()
 logger = logging.getLogger(__name__)
@@ -42,14 +62,55 @@ def launch_darkly_context():
 @contextlib.asynccontextmanager
 async def lifespan_context(app: fastapi.FastAPI):
     await backend.data.db.connect()
+
+    # Ensure SDK auto-registration is patched before initializing blocks
+    from backend.sdk.registry import AutoRegistry
+
+    AutoRegistry.patch_integrations()
+
     await backend.data.block.initialize_blocks()
+
     await backend.data.user.migrate_and_encrypt_user_integrations()
     await backend.data.graph.fix_llm_provider_credentials()
+    await backend.data.graph.migrate_llm_models(LlmModel.GPT4O)
     with launch_darkly_context():
         yield
+
+    try:
+        await shutdown_cloud_storage_handler()
+    except Exception as e:
+        logger.warning(f"Error shutting down cloud storage handler: {e}")
+
     await backend.data.db.disconnect()
 
 
+def custom_generate_unique_id(route: APIRoute):
+    """Generate clean operation IDs for OpenAPI spec following the format:
+    {method}{tag}{summary}
+    """
+    if not route.tags or not route.methods:
+        return f"{route.name}"
+
+    method = list(route.methods)[0].lower()
+    first_tag = route.tags[0]
+    if isinstance(first_tag, Enum):
+        tag_str = first_tag.name
+    else:
+        tag_str = str(first_tag)
+
+    tag = "".join(word.capitalize() for word in tag_str.split("_"))  # v1/v2
+
+    summary = (
+        route.summary if route.summary else route.name
+    )  # need to be unique, a different version could have the same summary
+    summary = "".join(word.capitalize() for word in str(summary).split("_"))
+
+    if tag:
+        return f"{method}{tag}{summary}"
+    else:
+        return f"{method}{summary}"
+
+
 docs_url = (
     "/docs"
     if settings.config.app_env == backend.util.settings.AppEnvironment.LOCAL
@@ -59,24 +120,38 @@ async def lifespan_context(app: fastapi.FastAPI):
 app = fastapi.FastAPI(
     title="AutoGPT Agent Server",
     description=(
-        "This server is used to execute agents that are created by the "
-        "AutoGPT system."
+        "This server is used to execute agents that are created by the AutoGPT system."
     ),
     summary="AutoGPT Agent Server",
     version="0.1",
     lifespan=lifespan_context,
     docs_url=docs_url,
+    generate_unique_id_function=custom_generate_unique_id,
 )
 
+app.add_middleware(SecurityHeadersMiddleware)
+
 
 def handle_internal_http_error(status_code: int = 500, log_error: bool = True):
     def handler(request: fastapi.Request, exc: Exception):
         if log_error:
-            logger.exception(f"{request.method} {request.url.path} failed: {exc}")
+            logger.exception(
+                "%s %s failed. Investigate and resolve the underlying issue: %s",
+                request.method,
+                request.url.path,
+                exc,
+            )
+
+        hint = (
+            "Adjust the request and retry."
+            if status_code < 500
+            else "Check server logs and dependent services."
+        )
         return fastapi.responses.JSONResponse(
             content={
-                "message": f"{request.method} {request.url.path} failed",
+                "message": f"Failed to process {request.method} {request.url.path}",
                 "detail": str(exc),
+                "hint": hint,
             },
             status_code=status_code,
         )
@@ -84,19 +159,82 @@ def handler(request: fastapi.Request, exc: Exception):
     return handler
 
 
+async def validation_error_handler(
+    request: fastapi.Request, exc: Exception
+) -> fastapi.responses.Response:
+    logger.error(
+        "Validation failed for %s %s: %s. Fix the request payload and try again.",
+        request.method,
+        request.url.path,
+        exc,
+    )
+    errors: list | str
+    if hasattr(exc, "errors"):
+        errors = exc.errors()  # type: ignore[call-arg]
+    else:
+        errors = str(exc)
+
+    response_content = {
+        "message": f"Invalid data for {request.method} {request.url.path}",
+        "detail": errors,
+        "hint": "Ensure the request matches the API schema.",
+    }
+
+    content_json = json.dumps(response_content)
+
+    return fastapi.responses.Response(
+        content=content_json,
+        status_code=422,
+        media_type="application/json",
+    )
+
+
+app.add_exception_handler(RequestValidationError, validation_error_handler)
+app.add_exception_handler(pydantic.ValidationError, validation_error_handler)
 app.add_exception_handler(ValueError, handle_internal_http_error(400))
 app.add_exception_handler(Exception, handle_internal_http_error(500))
 app.include_router(backend.server.routers.v1.v1_router, tags=["v1"], prefix="/api")
 app.include_router(
     backend.server.v2.store.routes.router, tags=["v2"], prefix="/api/store"
 )
+app.include_router(
+    backend.server.v2.builder.routes.router, tags=["v2"], prefix="/api/builder"
+)
+app.include_router(
+    backend.server.v2.admin.store_admin_routes.router,
+    tags=["v2", "admin"],
+    prefix="/api/store",
+)
+app.include_router(
+    backend.server.v2.admin.credit_admin_routes.router,
+    tags=["v2", "admin"],
+    prefix="/api/credits",
+)
 app.include_router(
     backend.server.v2.library.routes.router, tags=["v2"], prefix="/api/library"
 )
+app.include_router(
+    backend.server.v2.otto.routes.router, tags=["v2", "otto"], prefix="/api/otto"
+)
+app.include_router(
+    backend.server.v2.turnstile.routes.router,
+    tags=["v2", "turnstile"],
+    prefix="/api/turnstile",
+)
+
+app.include_router(
+    backend.server.routers.postmark.postmark.router,
+    tags=["v1", "email"],
+    prefix="/api/email",
+)
+
+app.mount("/external-api", external_app)
 
 
 @app.get(path="/health", tags=["health"], dependencies=[])
 async def health():
+    if not backend.data.db.is_connected():
+        raise UnhealthyServiceError("Database is not connected")
     return {"status": "healthy"}
 
 
@@ -113,13 +251,38 @@ def run(self):
             server_app,
             host=backend.util.settings.Config().agent_api_host,
             port=backend.util.settings.Config().agent_api_port,
+            log_config=None,
         )
 
+    def cleanup(self):
+        super().cleanup()
+        logger.info(f"[{self.service_name}] ⏳ Shutting down Agent Server...")
+
     @staticmethod
     async def test_execute_graph(
-        graph_id: str, node_input: dict[typing.Any, typing.Any], user_id: str
+        graph_id: str,
+        user_id: str,
+        graph_version: Optional[int] = None,
+        node_input: Optional[dict[str, Any]] = None,
+    ):
+        return await backend.server.routers.v1.execute_graph(
+            user_id=user_id,
+            graph_id=graph_id,
+            graph_version=graph_version,
+            inputs=node_input or {},
+            credentials_inputs={},
+        )
+
+    @staticmethod
+    async def test_get_graph(
+        graph_id: str,
+        graph_version: int,
+        user_id: str,
+        for_export: bool = False,
     ):
-        return backend.server.routers.v1.execute_graph(graph_id, node_input, user_id)
+        return await backend.server.routers.v1.get_graph(
+            graph_id, user_id, graph_version, for_export
+        )
 
     @staticmethod
     async def test_create_graph(
@@ -130,7 +293,9 @@ async def test_create_graph(
 
     @staticmethod
     async def test_get_graph_run_status(graph_exec_id: str, user_id: str):
-        execution = await backend.data.graph.get_execution(
+        from backend.data.execution import get_graph_execution_meta
+
+        execution = await get_graph_execution_meta(
             user_id=user_id, execution_id=graph_exec_id
         )
         if not execution:
@@ -138,16 +303,101 @@ async def test_get_graph_run_status(graph_exec_id: str, user_id: str):
         return execution.status
 
     @staticmethod
-    async def test_get_graph_run_node_execution_results(
-        graph_id: str, graph_exec_id: str, user_id: str
+    async def test_delete_graph(graph_id: str, user_id: str):
+        """Used for clean-up after a test run"""
+        await backend.server.v2.library.db.delete_library_agent_by_graph_id(
+            graph_id=graph_id, user_id=user_id
+        )
+        return await backend.server.routers.v1.delete_graph(graph_id, user_id)
+
+    @staticmethod
+    async def test_get_presets(user_id: str, page: int = 1, page_size: int = 10):
+        return await backend.server.v2.library.routes.presets.list_presets(
+            user_id=user_id, page=page, page_size=page_size
+        )
+
+    @staticmethod
+    async def test_get_preset(preset_id: str, user_id: str):
+        return await backend.server.v2.library.routes.presets.get_preset(
+            preset_id=preset_id, user_id=user_id
+        )
+
+    @staticmethod
+    async def test_create_preset(
+        preset: backend.server.v2.library.model.LibraryAgentPresetCreatable,
+        user_id: str,
     ):
-        return await backend.server.routers.v1.get_graph_run_node_execution_results(
-            graph_id, graph_exec_id, user_id
+        return await backend.server.v2.library.routes.presets.create_preset(
+            preset=preset, user_id=user_id
         )
 
     @staticmethod
-    async def test_delete_graph(graph_id: str, user_id: str):
-        return await backend.server.routers.v1.delete_graph(graph_id, user_id)
+    async def test_update_preset(
+        preset_id: str,
+        preset: backend.server.v2.library.model.LibraryAgentPresetUpdatable,
+        user_id: str,
+    ):
+        return await backend.server.v2.library.routes.presets.update_preset(
+            preset_id=preset_id, preset=preset, user_id=user_id
+        )
+
+    @staticmethod
+    async def test_delete_preset(preset_id: str, user_id: str):
+        return await backend.server.v2.library.routes.presets.delete_preset(
+            preset_id=preset_id, user_id=user_id
+        )
+
+    @staticmethod
+    async def test_execute_preset(
+        preset_id: str,
+        user_id: str,
+        inputs: Optional[dict[str, Any]] = None,
+    ):
+        return await backend.server.v2.library.routes.presets.execute_preset(
+            preset_id=preset_id,
+            user_id=user_id,
+            inputs=inputs or {},
+        )
+
+    @staticmethod
+    async def test_create_store_listing(
+        request: backend.server.v2.store.model.StoreSubmissionRequest, user_id: str
+    ):
+        return await backend.server.v2.store.routes.create_submission(request, user_id)
+
+    ### ADMIN ###
+
+    @staticmethod
+    async def test_review_store_listing(
+        request: backend.server.v2.store.model.ReviewSubmissionRequest,
+        user: autogpt_libs.auth.models.User,
+    ):
+        return await backend.server.v2.admin.store_admin_routes.review_submission(
+            request.store_listing_version_id, request, user
+        )
+
+    @staticmethod
+    async def test_create_credentials(
+        user_id: str,
+        provider: ProviderName,
+        credentials: Credentials,
+    ) -> Credentials:
+        from backend.server.integrations.router import (
+            create_credentials,
+            get_credential,
+        )
+
+        try:
+            return await create_credentials(
+                user_id=user_id, provider=provider, credentials=credentials
+            )
+        except Exception as e:
+            logger.error(f"Error creating credentials: {e}")
+            return await get_credential(
+                provider=provider,
+                user_id=user_id,
+                cred_id=credentials.id,
+            )
 
     def set_test_dependency_overrides(self, overrides: dict):
         app.dependency_overrides.update(overrides)
diff --git a/autogpt_platform/backend/backend/server/routers/analytics.py b/autogpt_platform/backend/backend/server/routers/analytics.py
index d7416c3e0e5a..cf0ae8572326 100644
--- a/autogpt_platform/backend/backend/server/routers/analytics.py
+++ b/autogpt_platform/backend/backend/server/routers/analytics.py
@@ -1,29 +1,48 @@
 """Analytics API"""
 
+import logging
 from typing import Annotated
 
 import fastapi
+import pydantic
 
 import backend.data.analytics
 from backend.server.utils import get_user_id
 
 router = fastapi.APIRouter()
+logger = logging.getLogger(__name__)
+
+
+class LogRawMetricRequest(pydantic.BaseModel):
+    metric_name: str = pydantic.Field(..., min_length=1)
+    metric_value: float = pydantic.Field(..., allow_inf_nan=False)
+    data_string: str = pydantic.Field(..., min_length=1)
 
 
 @router.post(path="/log_raw_metric")
 async def log_raw_metric(
     user_id: Annotated[str, fastapi.Depends(get_user_id)],
-    metric_name: Annotated[str, fastapi.Body(..., embed=True)],
-    metric_value: Annotated[float, fastapi.Body(..., embed=True)],
-    data_string: Annotated[str, fastapi.Body(..., embed=True)],
+    request: LogRawMetricRequest,
 ):
-    result = await backend.data.analytics.log_raw_metric(
-        user_id=user_id,
-        metric_name=metric_name,
-        metric_value=metric_value,
-        data_string=data_string,
-    )
-    return result.id
+    try:
+        result = await backend.data.analytics.log_raw_metric(
+            user_id=user_id,
+            metric_name=request.metric_name,
+            metric_value=request.metric_value,
+            data_string=request.data_string,
+        )
+        return result.id
+    except Exception as e:
+        logger.exception(
+            "Failed to log metric %s for user %s: %s", request.metric_name, user_id, e
+        )
+        raise fastapi.HTTPException(
+            status_code=500,
+            detail={
+                "message": str(e),
+                "hint": "Check analytics service connection and retry.",
+            },
+        )
 
 
 @router.post("/log_raw_analytics")
@@ -43,7 +62,14 @@ async def log_raw_analytics(
         ),
     ],
 ):
-    result = await backend.data.analytics.log_raw_analytics(
-        user_id, type, data, data_index
-    )
-    return result.id
+    try:
+        result = await backend.data.analytics.log_raw_analytics(
+            user_id, type, data, data_index
+        )
+        return result.id
+    except Exception as e:
+        logger.exception("Failed to log analytics for user %s: %s", user_id, e)
+        raise fastapi.HTTPException(
+            status_code=500,
+            detail={"message": str(e), "hint": "Ensure analytics DB is reachable."},
+        )
diff --git a/autogpt_platform/backend/backend/server/routers/analytics_improved_test.py b/autogpt_platform/backend/backend/server/routers/analytics_improved_test.py
new file mode 100644
index 000000000000..175057414212
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/routers/analytics_improved_test.py
@@ -0,0 +1,148 @@
+"""Example of analytics tests with improved error handling and assertions."""
+
+import json
+from unittest.mock import AsyncMock, Mock
+
+import fastapi
+import fastapi.testclient
+import pytest_mock
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.routers.analytics as analytics_routes
+from backend.server.conftest import TEST_USER_ID
+from backend.server.test_helpers import (
+    assert_error_response_structure,
+    assert_mock_called_with_partial,
+    assert_response_status,
+    safe_parse_json,
+)
+from backend.server.utils import get_user_id
+
+app = fastapi.FastAPI()
+app.include_router(analytics_routes.router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def override_get_user_id() -> str:
+    """Override get_user_id for testing"""
+    return TEST_USER_ID
+
+
+app.dependency_overrides[get_user_id] = override_get_user_id
+
+
+def test_log_raw_metric_success_improved(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test successful raw metric logging with improved assertions."""
+    # Mock the analytics function
+    mock_result = Mock(id="metric-123-uuid")
+
+    mock_log_metric = mocker.patch(
+        "backend.data.analytics.log_raw_metric",
+        new_callable=AsyncMock,
+        return_value=mock_result,
+    )
+
+    request_data = {
+        "metric_name": "page_load_time",
+        "metric_value": 2.5,
+        "data_string": "/dashboard",
+    }
+
+    response = client.post("/log_raw_metric", json=request_data)
+
+    # Improved assertions with better error messages
+    assert_response_status(response, 200, "Metric logging should succeed")
+    response_data = safe_parse_json(response, "Metric response parsing")
+
+    assert response_data == "metric-123-uuid", f"Unexpected response: {response_data}"
+
+    # Verify the function was called with correct parameters
+    assert_mock_called_with_partial(
+        mock_log_metric,
+        user_id=TEST_USER_ID,
+        metric_name="page_load_time",
+        metric_value=2.5,
+        data_string="/dashboard",
+    )
+
+    # Snapshot test the response
+    configured_snapshot.assert_match(
+        json.dumps({"metric_id": response_data}, indent=2, sort_keys=True),
+        "analytics_log_metric_success_improved",
+    )
+
+
+def test_log_raw_metric_invalid_request_improved() -> None:
+    """Test invalid metric request with improved error assertions."""
+    # Test missing required fields
+    response = client.post("/log_raw_metric", json={})
+
+    error_data = assert_error_response_structure(
+        response, expected_status=422, expected_error_fields=["loc", "msg", "type"]
+    )
+
+    # Verify specific error details
+    detail = error_data["detail"]
+    assert isinstance(detail, list), "Error detail should be a list"
+    assert len(detail) > 0, "Should have at least one error"
+
+    # Check that required fields are mentioned in errors
+    error_fields = [error["loc"][-1] for error in detail if "loc" in error]
+    assert "metric_name" in error_fields, "Should report missing metric_name"
+    assert "metric_value" in error_fields, "Should report missing metric_value"
+    assert "data_string" in error_fields, "Should report missing data_string"
+
+
+def test_log_raw_metric_type_validation_improved(
+    mocker: pytest_mock.MockFixture,
+) -> None:
+    """Test metric type validation with improved assertions."""
+    # Mock the analytics function to avoid event loop issues
+    mocker.patch(
+        "backend.data.analytics.log_raw_metric",
+        new_callable=AsyncMock,
+        return_value=Mock(id="test-id"),
+    )
+
+    invalid_requests = [
+        {
+            "data": {
+                "metric_name": "test",
+                "metric_value": "not_a_number",  # Invalid type
+                "data_string": "test",
+            },
+            "expected_error": "Input should be a valid number",
+        },
+        {
+            "data": {
+                "metric_name": "",  # Empty string
+                "metric_value": 1.0,
+                "data_string": "test",
+            },
+            "expected_error": "String should have at least 1 character",
+        },
+        {
+            "data": {
+                "metric_name": "test",
+                "metric_value": 123,  # Valid number
+                "data_string": "",  # Empty data_string
+            },
+            "expected_error": "String should have at least 1 character",
+        },
+    ]
+
+    for test_case in invalid_requests:
+        response = client.post("/log_raw_metric", json=test_case["data"])
+
+        error_data = assert_error_response_structure(response, expected_status=422)
+
+        # Check that expected error is in the response
+        error_text = json.dumps(error_data)
+        assert (
+            test_case["expected_error"] in error_text
+            or test_case["expected_error"].lower() in error_text.lower()
+        ), f"Expected error '{test_case['expected_error']}' not found in: {error_text}"
diff --git a/autogpt_platform/backend/backend/server/routers/analytics_parametrized_test.py b/autogpt_platform/backend/backend/server/routers/analytics_parametrized_test.py
new file mode 100644
index 000000000000..a1250db942ea
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/routers/analytics_parametrized_test.py
@@ -0,0 +1,115 @@
+"""Example of parametrized tests for analytics endpoints."""
+
+import json
+from unittest.mock import AsyncMock, Mock
+
+import fastapi
+import fastapi.testclient
+import pytest
+import pytest_mock
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.routers.analytics as analytics_routes
+from backend.server.conftest import TEST_USER_ID
+from backend.server.utils import get_user_id
+
+app = fastapi.FastAPI()
+app.include_router(analytics_routes.router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def override_get_user_id() -> str:
+    """Override get_user_id for testing"""
+    return TEST_USER_ID
+
+
+app.dependency_overrides[get_user_id] = override_get_user_id
+
+
+@pytest.mark.parametrize(
+    "metric_value,metric_name,data_string,test_id",
+    [
+        (100, "api_calls_count", "external_api", "integer_value"),
+        (0, "error_count", "no_errors", "zero_value"),
+        (-5.2, "temperature_delta", "cooling", "negative_value"),
+        (1.23456789, "precision_test", "float_precision", "float_precision"),
+        (999999999, "large_number", "max_value", "large_number"),
+        (0.0000001, "tiny_number", "min_value", "tiny_number"),
+    ],
+)
+def test_log_raw_metric_values_parametrized(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+    metric_value: float,
+    metric_name: str,
+    data_string: str,
+    test_id: str,
+) -> None:
+    """Test raw metric logging with various metric values using parametrize."""
+    # Mock the analytics function
+    mock_result = Mock(id=f"metric-{test_id}-uuid")
+
+    mocker.patch(
+        "backend.data.analytics.log_raw_metric",
+        new_callable=AsyncMock,
+        return_value=mock_result,
+    )
+
+    request_data = {
+        "metric_name": metric_name,
+        "metric_value": metric_value,
+        "data_string": data_string,
+    }
+
+    response = client.post("/log_raw_metric", json=request_data)
+
+    # Better error handling
+    assert response.status_code == 200, f"Failed for {test_id}: {response.text}"
+    response_data = response.json()
+
+    # Snapshot test the response
+    configured_snapshot.assert_match(
+        json.dumps(
+            {"metric_id": response_data, "test_case": test_id}, indent=2, sort_keys=True
+        ),
+        f"analytics_metric_{test_id}",
+    )
+
+
+@pytest.mark.parametrize(
+    "invalid_data,expected_error",
+    [
+        ({}, "Field required"),  # Missing all fields
+        ({"metric_name": "test"}, "Field required"),  # Missing metric_value
+        (
+            {"metric_name": "test", "metric_value": "not_a_number"},
+            "Input should be a valid number",
+        ),  # Invalid type
+        (
+            {"metric_name": "", "metric_value": 1.0, "data_string": "test"},
+            "String should have at least 1 character",
+        ),  # Empty name
+    ],
+)
+def test_log_raw_metric_invalid_requests_parametrized(
+    mocker: pytest_mock.MockFixture,
+    invalid_data: dict,
+    expected_error: str,
+) -> None:
+    """Test invalid metric requests with parametrize."""
+    # Mock the analytics function to avoid event loop issues
+    mocker.patch(
+        "backend.data.analytics.log_raw_metric",
+        new_callable=AsyncMock,
+        return_value=Mock(id="test-id"),
+    )
+
+    response = client.post("/log_raw_metric", json=invalid_data)
+
+    assert response.status_code == 422
+    error_detail = response.json()
+    assert "detail" in error_detail
+    # Verify error message contains expected error
+    error_text = json.dumps(error_detail)
+    assert expected_error in error_text or expected_error.lower() in error_text.lower()
diff --git a/autogpt_platform/backend/backend/server/routers/analytics_test.py b/autogpt_platform/backend/backend/server/routers/analytics_test.py
new file mode 100644
index 000000000000..11f97adfd2de
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/routers/analytics_test.py
@@ -0,0 +1,281 @@
+import json
+from unittest.mock import AsyncMock, Mock
+
+import fastapi
+import fastapi.testclient
+import pytest_mock
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.routers.analytics as analytics_routes
+from backend.server.conftest import TEST_USER_ID
+from backend.server.utils import get_user_id
+
+app = fastapi.FastAPI()
+app.include_router(analytics_routes.router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def override_get_user_id() -> str:
+    """Override get_user_id for testing"""
+    return TEST_USER_ID
+
+
+app.dependency_overrides[get_user_id] = override_get_user_id
+
+
+def test_log_raw_metric_success(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test successful raw metric logging"""
+
+    # Mock the analytics function
+    mock_result = Mock(id="metric-123-uuid")
+
+    mock_log_metric = mocker.patch(
+        "backend.data.analytics.log_raw_metric",
+        new_callable=AsyncMock,
+        return_value=mock_result,
+    )
+
+    request_data = {
+        "metric_name": "page_load_time",
+        "metric_value": 2.5,
+        "data_string": "/dashboard",
+    }
+
+    response = client.post("/log_raw_metric", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data == "metric-123-uuid"
+
+    # Verify the function was called with correct parameters
+    mock_log_metric.assert_called_once_with(
+        user_id=TEST_USER_ID,
+        metric_name="page_load_time",
+        metric_value=2.5,
+        data_string="/dashboard",
+    )
+
+    # Snapshot test the response
+    configured_snapshot.assert_match(
+        json.dumps({"metric_id": response.json()}, indent=2, sort_keys=True),
+        "analytics_log_metric_success",
+    )
+
+
+def test_log_raw_metric_various_values(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test raw metric logging with various metric values"""
+
+    # Mock the analytics function
+    mock_result = Mock(id="metric-456-uuid")
+
+    mocker.patch(
+        "backend.data.analytics.log_raw_metric",
+        new_callable=AsyncMock,
+        return_value=mock_result,
+    )
+
+    # Test with integer value
+    request_data = {
+        "metric_name": "api_calls_count",
+        "metric_value": 100,
+        "data_string": "external_api",
+    }
+
+    response = client.post("/log_raw_metric", json=request_data)
+    assert response.status_code == 200
+
+    # Test with zero value
+    request_data = {
+        "metric_name": "error_count",
+        "metric_value": 0,
+        "data_string": "no_errors",
+    }
+
+    response = client.post("/log_raw_metric", json=request_data)
+    assert response.status_code == 200
+
+    # Test with negative value
+    request_data = {
+        "metric_name": "temperature_delta",
+        "metric_value": -5.2,
+        "data_string": "cooling",
+    }
+
+    response = client.post("/log_raw_metric", json=request_data)
+    assert response.status_code == 200
+
+    # Snapshot the last response
+    configured_snapshot.assert_match(
+        json.dumps({"metric_id": response.json()}, indent=2, sort_keys=True),
+        "analytics_log_metric_various_values",
+    )
+
+
+def test_log_raw_analytics_success(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test successful raw analytics logging"""
+
+    # Mock the analytics function
+    mock_result = Mock(id="analytics-789-uuid")
+
+    mock_log_analytics = mocker.patch(
+        "backend.data.analytics.log_raw_analytics",
+        new_callable=AsyncMock,
+        return_value=mock_result,
+    )
+
+    request_data = {
+        "type": "user_action",
+        "data": {
+            "action": "button_click",
+            "button_id": "submit_form",
+            "timestamp": "2023-01-01T00:00:00Z",
+            "metadata": {
+                "form_type": "registration",
+                "fields_filled": 5,
+            },
+        },
+        "data_index": "button_click_submit_form",
+    }
+
+    response = client.post("/log_raw_analytics", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data == "analytics-789-uuid"
+
+    # Verify the function was called with correct parameters
+    mock_log_analytics.assert_called_once_with(
+        TEST_USER_ID,
+        "user_action",
+        request_data["data"],
+        "button_click_submit_form",
+    )
+
+    # Snapshot test the response
+    configured_snapshot.assert_match(
+        json.dumps({"analytics_id": response_data}, indent=2, sort_keys=True),
+        "analytics_log_analytics_success",
+    )
+
+
+def test_log_raw_analytics_complex_data(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test raw analytics logging with complex nested data"""
+
+    # Mock the analytics function
+    mock_result = Mock(id="analytics-complex-uuid")
+
+    mocker.patch(
+        "backend.data.analytics.log_raw_analytics",
+        new_callable=AsyncMock,
+        return_value=mock_result,
+    )
+
+    request_data = {
+        "type": "agent_execution",
+        "data": {
+            "agent_id": "agent_123",
+            "execution_id": "exec_456",
+            "status": "completed",
+            "duration_ms": 3500,
+            "nodes_executed": 15,
+            "blocks_used": [
+                {"block_id": "llm_block", "count": 3},
+                {"block_id": "http_block", "count": 5},
+                {"block_id": "code_block", "count": 2},
+            ],
+            "errors": [],
+            "metadata": {
+                "trigger": "manual",
+                "user_tier": "premium",
+                "environment": "production",
+            },
+        },
+        "data_index": "agent_123_exec_456",
+    }
+
+    response = client.post("/log_raw_analytics", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+
+    # Snapshot test the complex data structure
+    configured_snapshot.assert_match(
+        json.dumps(
+            {
+                "analytics_id": response_data,
+                "logged_data": request_data["data"],
+            },
+            indent=2,
+            sort_keys=True,
+        ),
+        "analytics_log_analytics_complex_data",
+    )
+
+
+def test_log_raw_metric_invalid_request() -> None:
+    """Test raw metric logging with invalid request data"""
+    # Missing required fields
+    response = client.post("/log_raw_metric", json={})
+    assert response.status_code == 422
+
+    # Invalid metric_value type
+    response = client.post(
+        "/log_raw_metric",
+        json={
+            "metric_name": "test",
+            "metric_value": "not_a_number",
+            "data_string": "test",
+        },
+    )
+    assert response.status_code == 422
+
+    # Missing data_string
+    response = client.post(
+        "/log_raw_metric",
+        json={
+            "metric_name": "test",
+            "metric_value": 1.0,
+        },
+    )
+    assert response.status_code == 422
+
+
+def test_log_raw_analytics_invalid_request() -> None:
+    """Test raw analytics logging with invalid request data"""
+    # Missing required fields
+    response = client.post("/log_raw_analytics", json={})
+    assert response.status_code == 422
+
+    # Invalid data type (should be dict)
+    response = client.post(
+        "/log_raw_analytics",
+        json={
+            "type": "test",
+            "data": "not_a_dict",
+            "data_index": "test",
+        },
+    )
+    assert response.status_code == 422
+
+    # Missing data_index
+    response = client.post(
+        "/log_raw_analytics",
+        json={
+            "type": "test",
+            "data": {"key": "value"},
+        },
+    )
+    assert response.status_code == 422
diff --git a/autogpt_platform/backend/backend/server/routers/postmark/__init__.py b/autogpt_platform/backend/backend/server/routers/postmark/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/server/routers/postmark/models.py b/autogpt_platform/backend/backend/server/routers/postmark/models.py
new file mode 100644
index 000000000000..7d62c3f02622
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/routers/postmark/models.py
@@ -0,0 +1,212 @@
+from enum import Enum
+from typing import Literal
+
+from pydantic import BaseModel
+
+
+# Models from https://account.postmarkapp.com/servers/<id>/streams/outbound/webhooks/new
+class PostmarkDeliveryWebhook(BaseModel):
+    RecordType: Literal["Delivery"] = "Delivery"
+    ServerID: int
+    MessageStream: str
+    MessageID: str
+    Recipient: str
+    Tag: str
+    DeliveredAt: str
+    Details: str
+    Metadata: dict[str, str]
+
+
+class PostmarkBounceEnum(Enum):
+    HardBounce = 1
+    """
+    The server was unable to deliver your message (ex: unknown user, mailbox not found).
+    """
+    Transient = 2
+    """
+    The server could not temporarily deliver your message (ex: Message is delayed due to network troubles).
+    """
+    Unsubscribe = 16
+    """
+    Unsubscribe or Remove request.
+    """
+    Subscribe = 32
+    """
+    Subscribe request from someone wanting to get added to the mailing list.
+    """
+    AutoResponder = 64
+    """
+    "Autoresponder" is an automatic email responder including nondescript NDRs and some "out of office" replies.
+    """
+    AddressChange = 128
+    """
+    The recipient has requested an address change.
+    """
+    DnsError = 256
+    """
+    A temporary DNS error.
+    """
+    SpamNotification = 512
+    """
+    The message was delivered, but was either blocked by the user, or classified as spam, bulk mail, or had rejected content.
+    """
+    OpenRelayTest = 1024
+    """
+    The NDR is actually a test email message to see if the mail server is an open relay.
+    """
+    Unknown = 2048
+    """
+    Unable to classify the NDR.
+    """
+    SoftBounce = 4096
+    """
+    Unable to temporarily deliver message (i.e. mailbox full, account disabled, exceeds quota, out of disk space).
+    """
+    VirusNotification = 8192
+    """
+    The bounce is actually a virus notification warning about a virus/code infected message.
+    """
+    ChallengeVerification = 16384
+    """
+    The bounce is a challenge asking for verification you actually sent the email. Typcial challenges are made by Spam Arrest, or MailFrontier Matador.
+    """
+    BadEmailAddress = 100000
+    """
+    The address is not a valid email address.
+    """
+    SpamComplaint = 100001
+    """
+    The subscriber explicitly marked this message as spam.
+    """
+    ManuallyDeactivated = 100002
+    """
+    The email was manually deactivated.
+    """
+    Unconfirmed = 100003
+    """
+    Registration not confirmed — The subscriber has not clicked on the confirmation link upon registration or import.
+    """
+    Blocked = 100006
+    """
+    Blocked from this ISP due to content or blacklisting.
+    """
+    SMTPApiError = 100007
+    """
+    An error occurred while accepting an email through the SMTP API.
+    """
+    InboundError = 100008
+    """
+    Processing failed — Unable to deliver inbound message to destination inbound hook.
+    """
+    DMARCPolicy = 100009
+    """
+    Email rejected due DMARC Policy.
+    """
+    TemplateRenderingFailed = 100010
+    """
+    Template rendering failed — An error occurred while attempting to render your template.
+    """
+
+
+class PostmarkBounceWebhook(BaseModel):
+    RecordType: Literal["Bounce"] = "Bounce"
+    ID: int
+    Type: str
+    TypeCode: PostmarkBounceEnum
+    Tag: str
+    MessageID: str
+    Details: str
+    Email: str
+    From: str
+    BouncedAt: str
+    Inactive: bool
+    DumpAvailable: bool
+    CanActivate: bool
+    Subject: str
+    ServerID: int
+    MessageStream: str
+    Content: str
+    Name: str
+    Description: str
+    Metadata: dict[str, str]
+
+
+class PostmarkSpamComplaintWebhook(BaseModel):
+    RecordType: Literal["SpamComplaint"] = "SpamComplaint"
+    ID: int
+    Type: str
+    TypeCode: int
+    Tag: str
+    MessageID: str
+    Details: str
+    Email: str
+    From: str
+    BouncedAt: str
+    Inactive: bool
+    DumpAvailable: bool
+    CanActivate: bool
+    Subject: str
+    ServerID: int
+    MessageStream: str
+    Content: str
+    Name: str
+    Description: str
+    Metadata: dict[str, str]
+
+
+class PostmarkOpenWebhook(BaseModel):
+    RecordType: Literal["Open"] = "Open"
+    MessageStream: str
+    Metadata: dict[str, str]
+    FirstOpen: bool
+    Recipient: str
+    MessageID: str
+    ReceivedAt: str
+    Platform: str
+    ReadSeconds: int
+    Tag: str
+    UserAgent: str
+    OS: dict[str, str]
+    Client: dict[str, str]
+    Geo: dict[str, str]
+
+
+class PostmarkClickWebhook(BaseModel):
+    RecordType: Literal["Click"] = "Click"
+    MessageStream: str
+    Metadata: dict[str, str]
+    Recipient: str
+    MessageID: str
+    ReceivedAt: str
+    Platform: str
+    ClickLocation: str
+    OriginalLink: str
+    Tag: str
+    UserAgent: str
+    OS: dict[str, str]
+    Client: dict[str, str]
+    Geo: dict[str, str]
+
+
+class PostmarkSubscriptionChangeWebhook(BaseModel):
+    RecordType: Literal["SubscriptionChange"] = "SubscriptionChange"
+    MessageID: str
+    ServerID: int
+    MessageStream: str
+    ChangedAt: str
+    Recipient: str
+    Origin: str
+    SuppressSending: bool
+    SuppressionReason: str
+    Tag: str
+    Metadata: dict[str, str]
+
+
+PostmarkWebhook = (
+    PostmarkDeliveryWebhook
+    | PostmarkBounceWebhook
+    | PostmarkSpamComplaintWebhook
+    | PostmarkOpenWebhook
+    | PostmarkClickWebhook
+    | PostmarkSubscriptionChangeWebhook
+)
diff --git a/autogpt_platform/backend/backend/server/routers/postmark/postmark.py b/autogpt_platform/backend/backend/server/routers/postmark/postmark.py
new file mode 100644
index 000000000000..b83b77dc1224
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/routers/postmark/postmark.py
@@ -0,0 +1,129 @@
+import logging
+from typing import Annotated
+
+from autogpt_libs.auth.middleware import APIKeyValidator
+from fastapi import APIRouter, Body, Depends, HTTPException, Query
+from fastapi.responses import JSONResponse
+
+from backend.data.user import (
+    get_user_by_email,
+    set_user_email_verification,
+    unsubscribe_user_by_token,
+)
+from backend.server.routers.postmark.models import (
+    PostmarkBounceEnum,
+    PostmarkBounceWebhook,
+    PostmarkClickWebhook,
+    PostmarkDeliveryWebhook,
+    PostmarkOpenWebhook,
+    PostmarkSpamComplaintWebhook,
+    PostmarkSubscriptionChangeWebhook,
+    PostmarkWebhook,
+)
+from backend.util.settings import Settings
+
+settings = Settings()
+postmark_validator = APIKeyValidator(
+    "X-Postmark-Webhook-Token",
+    settings.secrets.postmark_webhook_token,
+)
+
+router = APIRouter()
+
+
+logger = logging.getLogger(__name__)
+
+
+@router.post("/unsubscribe", summary="One Click Email Unsubscribe")
+async def unsubscribe_via_one_click(token: Annotated[str, Query()]):
+    logger.info("Received unsubscribe request from One Click Unsubscribe")
+    try:
+        await unsubscribe_user_by_token(token)
+    except Exception as e:
+        logger.exception("Unsubscribe failed: %s", e)
+        raise HTTPException(
+            status_code=500,
+            detail={"message": str(e), "hint": "Verify Postmark token settings."},
+        )
+    return JSONResponse(status_code=200, content={"status": "ok"})
+
+
+@router.post(
+    "/",
+    dependencies=[Depends(postmark_validator.get_dependency())],
+    summary="Handle Postmark Email Webhooks",
+)
+async def postmark_webhook_handler(
+    webhook: Annotated[
+        PostmarkWebhook,
+        Body(discriminator="RecordType"),
+    ]
+):
+    logger.info(f"Received webhook from Postmark: {webhook}")
+    match webhook:
+        case PostmarkDeliveryWebhook():
+            delivery_handler(webhook)
+        case PostmarkBounceWebhook():
+            await bounce_handler(webhook)
+        case PostmarkSpamComplaintWebhook():
+            spam_handler(webhook)
+        case PostmarkOpenWebhook():
+            open_handler(webhook)
+        case PostmarkClickWebhook():
+            click_handler(webhook)
+        case PostmarkSubscriptionChangeWebhook():
+            subscription_handler(webhook)
+        case _:
+            logger.warning(
+                "Unhandled Postmark webhook type %s. Update handler mappings.",
+                type(webhook),
+            )
+            return
+
+
+async def bounce_handler(event: PostmarkBounceWebhook):
+    logger.info(f"Bounce handler {event=}")
+    if event.TypeCode in [
+        PostmarkBounceEnum.Transient,
+        PostmarkBounceEnum.SoftBounce,
+        PostmarkBounceEnum.DnsError,
+    ]:
+        logger.info(
+            f"Softish bounce: {event.TypeCode} for {event.Email}, not setting email verification to false"
+        )
+        return
+    logger.info(f"{event.Email=}")
+    user = await get_user_by_email(event.Email)
+    if not user:
+        logger.warning(
+            "Received bounce for unknown email %s. Ensure user records are current.",
+            event.Email,
+        )
+        return
+    await set_user_email_verification(user.id, False)
+    logger.debug(f"Setting email verification to false for user: {user.id}")
+
+
+def spam_handler(event: PostmarkSpamComplaintWebhook):
+    logger.info("Spam handler")
+    pass
+
+
+def delivery_handler(event: PostmarkDeliveryWebhook):
+    logger.info("Delivery handler")
+    pass
+
+
+def open_handler(event: PostmarkOpenWebhook):
+    logger.info("Open handler")
+    pass
+
+
+def click_handler(event: PostmarkClickWebhook):
+    logger.info("Click handler")
+    pass
+
+
+def subscription_handler(event: PostmarkSubscriptionChangeWebhook):
+    logger.info("Subscription handler")
+    pass
diff --git a/autogpt_platform/backend/backend/server/routers/v1.py b/autogpt_platform/backend/backend/server/routers/v1.py
index aca22e5c5d68..791b6e526ed2 100644
--- a/autogpt_platform/backend/backend/server/routers/v1.py
+++ b/autogpt_platform/backend/backend/server/routers/v1.py
@@ -1,18 +1,31 @@
 import asyncio
+import base64
 import logging
 from collections import defaultdict
-from typing import TYPE_CHECKING, Annotated, Any, Sequence
+from datetime import datetime
+from typing import Annotated, Any, Sequence
 
 import pydantic
+import stripe
 from autogpt_libs.auth.middleware import auth_middleware
-from autogpt_libs.feature_flag.client import feature_flag
-from autogpt_libs.utils.cache import thread_cached
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import (
+    APIRouter,
+    Body,
+    Depends,
+    File,
+    HTTPException,
+    Path,
+    Query,
+    Request,
+    Response,
+    UploadFile,
+)
+from starlette.status import HTTP_204_NO_CONTENT, HTTP_404_NOT_FOUND
 from typing_extensions import Optional, TypedDict
 
-import backend.data.block
 import backend.server.integrations.router
 import backend.server.routers.analytics
+import backend.server.v2.library.db as library_db
 from backend.data import execution as execution_db
 from backend.data import graph as graph_db
 from backend.data.api_key import (
@@ -27,11 +40,35 @@
     suspend_api_key,
     update_api_key_permissions,
 )
-from backend.data.block import BlockInput, CompletedBlockOutput
-from backend.data.credit import get_block_costs, get_user_credit_model
-from backend.data.user import get_or_create_user
-from backend.executor import ExecutionManager, ExecutionScheduler, scheduler
-from backend.integrations.creds_manager import IntegrationCredentialsManager
+from backend.data.block import BlockInput, CompletedBlockOutput, get_block, get_blocks
+from backend.data.credit import (
+    AutoTopUpConfig,
+    RefundRequest,
+    TransactionHistory,
+    get_auto_top_up,
+    get_block_costs,
+    get_user_credit_model,
+    set_auto_top_up,
+)
+from backend.data.model import CredentialsMetaInput
+from backend.data.notifications import NotificationPreference, NotificationPreferenceDTO
+from backend.data.onboarding import (
+    UserOnboardingUpdate,
+    get_recommended_agents,
+    get_user_onboarding,
+    onboarding_enabled,
+    update_user_onboarding,
+)
+from backend.data.user import (
+    get_or_create_user,
+    get_user_by_id,
+    get_user_notification_preference,
+    update_user_email,
+    update_user_notification_preference,
+    update_user_timezone,
+)
+from backend.executor import scheduler
+from backend.executor import utils as execution_utils
 from backend.integrations.webhooks.graph_lifecycle_hooks import (
     on_graph_activate,
     on_graph_deactivate,
@@ -40,31 +77,37 @@
     CreateAPIKeyRequest,
     CreateAPIKeyResponse,
     CreateGraph,
+    ExecuteGraphResponse,
+    RequestTopUp,
     SetGraphActiveVersion,
+    TimezoneResponse,
     UpdatePermissionsRequest,
+    UpdateTimezoneRequest,
+    UploadFileResponse,
 )
 from backend.server.utils import get_user_id
-from backend.util.service import get_service_client
+from backend.util.clients import get_scheduler_client
+from backend.util.cloud_storage import get_cloud_storage_handler
+from backend.util.exceptions import GraphValidationError, NotFoundError
 from backend.util.settings import Settings
-
-if TYPE_CHECKING:
-    from backend.data.model import Credentials
-
-
-@thread_cached
-def execution_manager_client() -> ExecutionManager:
-    return get_service_client(ExecutionManager)
+from backend.util.timezone_utils import (
+    convert_cron_to_utc,
+    convert_utc_time_to_user_timezone,
+    get_user_timezone_or_utc,
+)
+from backend.util.virus_scanner import scan_content_safe
 
 
-@thread_cached
-def execution_scheduler_client() -> ExecutionScheduler:
-    return get_service_client(ExecutionScheduler)
+def _create_file_size_error(size_bytes: int, max_size_mb: int) -> HTTPException:
+    """Create standardized file size error response."""
+    return HTTPException(
+        status_code=400,
+        detail=f"File size ({size_bytes} bytes) exceeds the maximum allowed size of {max_size_mb}MB",
+    )
 
 
 settings = Settings()
 logger = logging.getLogger(__name__)
-integration_creds_manager = IntegrationCredentialsManager()
-
 
 _user_credit_model = get_user_credit_model()
 
@@ -90,51 +133,442 @@ def execution_scheduler_client() -> ExecutionScheduler:
 ########################################################
 
 
-@v1_router.post("/auth/user", tags=["auth"], dependencies=[Depends(auth_middleware)])
+@v1_router.post(
+    "/auth/user",
+    summary="Get or create user",
+    tags=["auth"],
+    dependencies=[Depends(auth_middleware)],
+)
 async def get_or_create_user_route(user_data: dict = Depends(auth_middleware)):
     user = await get_or_create_user(user_data)
     return user.model_dump()
 
 
+@v1_router.post(
+    "/auth/user/email",
+    summary="Update user email",
+    tags=["auth"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def update_user_email_route(
+    user_id: Annotated[str, Depends(get_user_id)], email: str = Body(...)
+) -> dict[str, str]:
+    await update_user_email(user_id, email)
+
+    return {"email": email}
+
+
+@v1_router.get(
+    "/auth/user/timezone",
+    summary="Get user timezone",
+    tags=["auth"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_user_timezone_route(
+    user_data: dict = Depends(auth_middleware),
+) -> TimezoneResponse:
+    """Get user timezone setting."""
+    user = await get_or_create_user(user_data)
+    return TimezoneResponse(timezone=user.timezone)
+
+
+@v1_router.post(
+    "/auth/user/timezone",
+    summary="Update user timezone",
+    tags=["auth"],
+    dependencies=[Depends(auth_middleware)],
+    response_model=TimezoneResponse,
+)
+async def update_user_timezone_route(
+    user_id: Annotated[str, Depends(get_user_id)], request: UpdateTimezoneRequest
+) -> TimezoneResponse:
+    """Update user timezone. The timezone should be a valid IANA timezone identifier."""
+    user = await update_user_timezone(user_id, str(request.timezone))
+    return TimezoneResponse(timezone=user.timezone)
+
+
+@v1_router.get(
+    "/auth/user/preferences",
+    summary="Get notification preferences",
+    tags=["auth"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_preferences(
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> NotificationPreference:
+    preferences = await get_user_notification_preference(user_id)
+    return preferences
+
+
+@v1_router.post(
+    "/auth/user/preferences",
+    summary="Update notification preferences",
+    tags=["auth"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def update_preferences(
+    user_id: Annotated[str, Depends(get_user_id)],
+    preferences: NotificationPreferenceDTO = Body(...),
+) -> NotificationPreference:
+    output = await update_user_notification_preference(user_id, preferences)
+    return output
+
+
+########################################################
+##################### Onboarding #######################
+########################################################
+
+
+@v1_router.get(
+    "/onboarding",
+    summary="Get onboarding status",
+    tags=["onboarding"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_onboarding(user_id: Annotated[str, Depends(get_user_id)]):
+    return await get_user_onboarding(user_id)
+
+
+@v1_router.patch(
+    "/onboarding",
+    summary="Update onboarding progress",
+    tags=["onboarding"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def update_onboarding(
+    user_id: Annotated[str, Depends(get_user_id)], data: UserOnboardingUpdate
+):
+    return await update_user_onboarding(user_id, data)
+
+
+@v1_router.get(
+    "/onboarding/agents",
+    summary="Get recommended agents",
+    tags=["onboarding"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_onboarding_agents(
+    user_id: Annotated[str, Depends(get_user_id)],
+):
+    return await get_recommended_agents(user_id)
+
+
+@v1_router.get(
+    "/onboarding/enabled",
+    summary="Check onboarding enabled",
+    tags=["onboarding", "public"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def is_onboarding_enabled():
+    return await onboarding_enabled()
+
+
 ########################################################
 ##################### Blocks ###########################
 ########################################################
 
 
-@v1_router.get(path="/blocks", tags=["blocks"], dependencies=[Depends(auth_middleware)])
+@v1_router.get(
+    path="/blocks",
+    summary="List available blocks",
+    tags=["blocks"],
+    dependencies=[Depends(auth_middleware)],
+)
 def get_graph_blocks() -> Sequence[dict[Any, Any]]:
-    blocks = [block() for block in backend.data.block.get_blocks().values()]
+    blocks = [block() for block in get_blocks().values()]
     costs = get_block_costs()
-    return [{**b.to_dict(), "costs": costs.get(b.id, [])} for b in blocks]
+    return [
+        {**b.to_dict(), "costs": costs.get(b.id, [])} for b in blocks if not b.disabled
+    ]
 
 
 @v1_router.post(
     path="/blocks/{block_id}/execute",
+    summary="Execute graph block",
     tags=["blocks"],
     dependencies=[Depends(auth_middleware)],
 )
-def execute_graph_block(block_id: str, data: BlockInput) -> CompletedBlockOutput:
-    obj = backend.data.block.get_block(block_id)
+async def execute_graph_block(block_id: str, data: BlockInput) -> CompletedBlockOutput:
+    obj = get_block(block_id)
     if not obj:
         raise HTTPException(status_code=404, detail=f"Block #{block_id} not found.")
 
     output = defaultdict(list)
-    for name, data in obj.execute(data):
+    async for name, data in obj.execute(data):
         output[name].append(data)
     return output
 
 
+@v1_router.post(
+    path="/files/upload",
+    summary="Upload file to cloud storage",
+    tags=["files"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def upload_file(
+    user_id: Annotated[str, Depends(get_user_id)],
+    file: UploadFile = File(...),
+    provider: str = "gcs",
+    expiration_hours: int = 24,
+) -> UploadFileResponse:
+    """
+    Upload a file to cloud storage and return a storage key that can be used
+    with FileStoreBlock and AgentFileInputBlock.
+
+    Args:
+        file: The file to upload
+        user_id: The user ID
+        provider: Cloud storage provider ("gcs", "s3", "azure")
+        expiration_hours: Hours until file expires (1-48)
+
+    Returns:
+        Dict containing the cloud storage path and signed URL
+    """
+    if expiration_hours < 1 or expiration_hours > 48:
+        raise HTTPException(
+            status_code=400, detail="Expiration hours must be between 1 and 48"
+        )
+
+    # Check file size limit before reading content to avoid memory issues
+    max_size_mb = settings.config.upload_file_size_limit_mb
+    max_size_bytes = max_size_mb * 1024 * 1024
+
+    # Try to get file size from headers first
+    if hasattr(file, "size") and file.size is not None and file.size > max_size_bytes:
+        raise _create_file_size_error(file.size, max_size_mb)
+
+    # Read file content
+    content = await file.read()
+    content_size = len(content)
+
+    # Double-check file size after reading (in case header was missing/incorrect)
+    if content_size > max_size_bytes:
+        raise _create_file_size_error(content_size, max_size_mb)
+
+    # Extract common variables
+    file_name = file.filename or "uploaded_file"
+    content_type = file.content_type or "application/octet-stream"
+
+    # Virus scan the content
+    await scan_content_safe(content, filename=file_name)
+
+    # Check if cloud storage is configured
+    cloud_storage = await get_cloud_storage_handler()
+    if not cloud_storage.config.gcs_bucket_name:
+        # Fallback to base64 data URI when GCS is not configured
+        base64_content = base64.b64encode(content).decode("utf-8")
+        data_uri = f"data:{content_type};base64,{base64_content}"
+
+        return UploadFileResponse(
+            file_uri=data_uri,
+            file_name=file_name,
+            size=content_size,
+            content_type=content_type,
+            expires_in_hours=expiration_hours,
+        )
+
+    # Store in cloud storage
+    storage_path = await cloud_storage.store_file(
+        content=content,
+        filename=file_name,
+        provider=provider,
+        expiration_hours=expiration_hours,
+        user_id=user_id,
+    )
+
+    return UploadFileResponse(
+        file_uri=storage_path,
+        file_name=file_name,
+        size=content_size,
+        content_type=content_type,
+        expires_in_hours=expiration_hours,
+    )
+
+
 ########################################################
 ##################### Credits ##########################
 ########################################################
 
 
-@v1_router.get(path="/credits", dependencies=[Depends(auth_middleware)])
+@v1_router.get(
+    path="/credits",
+    tags=["credits"],
+    summary="Get user credits",
+    dependencies=[Depends(auth_middleware)],
+)
 async def get_user_credits(
     user_id: Annotated[str, Depends(get_user_id)],
 ) -> dict[str, int]:
-    # Credits can go negative, so ensure it's at least 0 for user to see.
-    return {"credits": max(await _user_credit_model.get_or_refill_credit(user_id), 0)}
+    return {"credits": await _user_credit_model.get_credits(user_id)}
+
+
+@v1_router.post(
+    path="/credits",
+    summary="Request credit top up",
+    tags=["credits"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def request_top_up(
+    request: RequestTopUp, user_id: Annotated[str, Depends(get_user_id)]
+):
+    checkout_url = await _user_credit_model.top_up_intent(
+        user_id, request.credit_amount
+    )
+    return {"checkout_url": checkout_url}
+
+
+@v1_router.post(
+    path="/credits/{transaction_key}/refund",
+    summary="Refund credit transaction",
+    tags=["credits"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def refund_top_up(
+    user_id: Annotated[str, Depends(get_user_id)],
+    transaction_key: str,
+    metadata: dict[str, str],
+) -> int:
+    return await _user_credit_model.top_up_refund(user_id, transaction_key, metadata)
+
+
+@v1_router.patch(
+    path="/credits",
+    summary="Fulfill checkout session",
+    tags=["credits"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def fulfill_checkout(user_id: Annotated[str, Depends(get_user_id)]):
+    await _user_credit_model.fulfill_checkout(user_id=user_id)
+    return Response(status_code=200)
+
+
+@v1_router.post(
+    path="/credits/auto-top-up",
+    summary="Configure auto top up",
+    tags=["credits"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def configure_user_auto_top_up(
+    request: AutoTopUpConfig, user_id: Annotated[str, Depends(get_user_id)]
+) -> str:
+    if request.threshold < 0:
+        raise ValueError("Threshold must be greater than 0")
+    if request.amount < 500 and request.amount != 0:
+        raise ValueError("Amount must be greater than or equal to 500")
+    if request.amount < request.threshold:
+        raise ValueError("Amount must be greater than or equal to threshold")
+
+    current_balance = await _user_credit_model.get_credits(user_id)
+
+    if current_balance < request.threshold:
+        await _user_credit_model.top_up_credits(user_id, request.amount)
+    else:
+        await _user_credit_model.top_up_credits(user_id, 0)
+
+    await set_auto_top_up(
+        user_id, AutoTopUpConfig(threshold=request.threshold, amount=request.amount)
+    )
+    return "Auto top-up settings updated"
+
+
+@v1_router.get(
+    path="/credits/auto-top-up",
+    summary="Get auto top up",
+    tags=["credits"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_user_auto_top_up(
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> AutoTopUpConfig:
+    return await get_auto_top_up(user_id)
+
+
+@v1_router.post(
+    path="/credits/stripe_webhook", summary="Handle Stripe webhooks", tags=["credits"]
+)
+async def stripe_webhook(request: Request):
+    # Get the raw request body
+    payload = await request.body()
+    # Get the signature header
+    sig_header = request.headers.get("stripe-signature")
+
+    try:
+        event = stripe.Webhook.construct_event(
+            payload, sig_header, settings.secrets.stripe_webhook_secret
+        )
+    except ValueError as e:
+        # Invalid payload
+        raise HTTPException(
+            status_code=400, detail=f"Invalid payload: {str(e) or type(e).__name__}"
+        )
+    except stripe.SignatureVerificationError as e:
+        # Invalid signature
+        raise HTTPException(
+            status_code=400, detail=f"Invalid signature: {str(e) or type(e).__name__}"
+        )
+
+    if (
+        event["type"] == "checkout.session.completed"
+        or event["type"] == "checkout.session.async_payment_succeeded"
+    ):
+        await _user_credit_model.fulfill_checkout(
+            session_id=event["data"]["object"]["id"]
+        )
+
+    if event["type"] == "charge.dispute.created":
+        await _user_credit_model.handle_dispute(event["data"]["object"])
+
+    if event["type"] == "refund.created" or event["type"] == "charge.dispute.closed":
+        await _user_credit_model.deduct_credits(event["data"]["object"])
+
+    return Response(status_code=200)
+
+
+@v1_router.get(
+    path="/credits/manage",
+    tags=["credits"],
+    summary="Manage payment methods",
+    dependencies=[Depends(auth_middleware)],
+)
+async def manage_payment_method(
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> dict[str, str]:
+    return {"url": await _user_credit_model.create_billing_portal_session(user_id)}
+
+
+@v1_router.get(
+    path="/credits/transactions",
+    tags=["credits"],
+    summary="Get credit history",
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_credit_history(
+    user_id: Annotated[str, Depends(get_user_id)],
+    transaction_time: datetime | None = None,
+    transaction_type: str | None = None,
+    transaction_count_limit: int = 100,
+) -> TransactionHistory:
+    if transaction_count_limit < 1 or transaction_count_limit > 1000:
+        raise ValueError("Transaction count limit must be between 1 and 1000")
+
+    return await _user_credit_model.get_transaction_history(
+        user_id=user_id,
+        transaction_time_ceiling=transaction_time,
+        transaction_count_limit=transaction_count_limit,
+        transaction_type=transaction_type,
+    )
+
+
+@v1_router.get(
+    path="/credits/refunds",
+    tags=["credits"],
+    summary="Get refund requests",
+    dependencies=[Depends(auth_middleware)],
+)
+async def get_refund_requests(
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> list[RefundRequest]:
+    return await _user_credit_model.get_refund_requests(user_id)
 
 
 ########################################################
@@ -146,18 +580,27 @@ class DeleteGraphResponse(TypedDict):
     version_counts: int
 
 
-@v1_router.get(path="/graphs", tags=["graphs"], dependencies=[Depends(auth_middleware)])
-async def get_graphs(
-    user_id: Annotated[str, Depends(get_user_id)]
-) -> Sequence[graph_db.GraphModel]:
-    return await graph_db.get_graphs(filter_by="active", user_id=user_id)
+@v1_router.get(
+    path="/graphs",
+    summary="List user graphs",
+    tags=["graphs"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def list_graphs(
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> Sequence[graph_db.GraphMeta]:
+    return await graph_db.list_graphs(filter_by="active", user_id=user_id)
 
 
 @v1_router.get(
-    path="/graphs/{graph_id}", tags=["graphs"], dependencies=[Depends(auth_middleware)]
+    path="/graphs/{graph_id}",
+    summary="Get specific graph",
+    tags=["graphs"],
+    dependencies=[Depends(auth_middleware)],
 )
 @v1_router.get(
     path="/graphs/{graph_id}/versions/{version}",
+    summary="Get graph version",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
@@ -165,10 +608,14 @@ async def get_graph(
     graph_id: str,
     user_id: Annotated[str, Depends(get_user_id)],
     version: int | None = None,
-    hide_credentials: bool = False,
+    for_export: bool = False,
 ) -> graph_db.GraphModel:
     graph = await graph_db.get_graph(
-        graph_id, version, user_id=user_id, for_export=hide_credentials
+        graph_id,
+        version,
+        user_id=user_id,
+        for_export=for_export,
+        include_subgraphs=True,  # needed to construct full credentials input schema
     )
     if not graph:
         raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
@@ -177,14 +624,10 @@ async def get_graph(
 
 @v1_router.get(
     path="/graphs/{graph_id}/versions",
+    summary="Get all graph versions",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
-@v1_router.get(
-    path="/templates/{graph_id}/versions",
-    tags=["templates", "graphs"],
-    dependencies=[Depends(auth_middleware)],
-)
 async def get_graph_all_versions(
     graph_id: str, user_id: Annotated[str, Depends(get_user_id)]
 ) -> Sequence[graph_db.GraphModel]:
@@ -195,75 +638,45 @@ async def get_graph_all_versions(
 
 
 @v1_router.post(
-    path="/graphs", tags=["graphs"], dependencies=[Depends(auth_middleware)]
+    path="/graphs",
+    summary="Create new graph",
+    tags=["graphs"],
+    dependencies=[Depends(auth_middleware)],
 )
 async def create_new_graph(
-    create_graph: CreateGraph, user_id: Annotated[str, Depends(get_user_id)]
-) -> graph_db.GraphModel:
-    return await do_create_graph(create_graph, is_template=False, user_id=user_id)
-
-
-async def do_create_graph(
     create_graph: CreateGraph,
-    is_template: bool,
-    # user_id doesn't have to be annotated like on other endpoints,
-    # because create_graph isn't used directly as an endpoint
-    user_id: str,
+    user_id: Annotated[str, Depends(get_user_id)],
 ) -> graph_db.GraphModel:
-    if create_graph.graph:
-        graph = graph_db.make_graph_model(create_graph.graph, user_id)
-    elif create_graph.template_id:
-        # Create a new graph from a template
-        graph = await graph_db.get_graph(
-            create_graph.template_id,
-            create_graph.template_version,
-            template=True,
-            user_id=user_id,
-        )
-        if not graph:
-            raise HTTPException(
-                400, detail=f"Template #{create_graph.template_id} not found"
-            )
-        graph.version = 1
-    else:
-        raise HTTPException(
-            status_code=400, detail="Either graph or template_id must be provided."
-        )
-
-    graph.is_template = is_template
-    graph.is_active = not is_template
+    graph = graph_db.make_graph_model(create_graph.graph, user_id)
     graph.reassign_ids(user_id=user_id, reassign_graph_id=True)
+    graph.validate_graph(for_run=False)
 
-    graph = await graph_db.create_graph(graph, user_id=user_id)
-    graph = await on_graph_activate(
-        graph,
-        get_credentials=lambda id: integration_creds_manager.get(user_id, id),
-    )
-    return graph
+    # The return value of the create graph & library function is intentionally not used here,
+    # as the graph already valid and no sub-graphs are returned back.
+    await graph_db.create_graph(graph, user_id=user_id)
+    await library_db.create_library_agent(graph, user_id=user_id)
+    return await on_graph_activate(graph, user_id=user_id)
 
 
 @v1_router.delete(
-    path="/graphs/{graph_id}", tags=["graphs"], dependencies=[Depends(auth_middleware)]
+    path="/graphs/{graph_id}",
+    summary="Delete graph permanently",
+    tags=["graphs"],
+    dependencies=[Depends(auth_middleware)],
 )
 async def delete_graph(
     graph_id: str, user_id: Annotated[str, Depends(get_user_id)]
 ) -> DeleteGraphResponse:
     if active_version := await graph_db.get_graph(graph_id, user_id=user_id):
-
-        def get_credentials(credentials_id: str) -> "Credentials | None":
-            return integration_creds_manager.get(user_id, credentials_id)
-
-        await on_graph_deactivate(active_version, get_credentials)
+        await on_graph_deactivate(active_version, user_id=user_id)
 
     return {"version_counts": await graph_db.delete_graph(graph_id, user_id=user_id)}
 
 
 @v1_router.put(
-    path="/graphs/{graph_id}", tags=["graphs"], dependencies=[Depends(auth_middleware)]
-)
-@v1_router.put(
-    path="/templates/{graph_id}",
-    tags=["templates", "graphs"],
+    path="/graphs/{graph_id}",
+    summary="Update graph version",
+    tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
 async def update_graph(
@@ -282,46 +695,43 @@ async def update_graph(
     latest_version_number = max(g.version for g in existing_versions)
     graph.version = latest_version_number + 1
 
-    latest_version_graph = next(
-        v for v in existing_versions if v.version == latest_version_number
-    )
     current_active_version = next((v for v in existing_versions if v.is_active), None)
-    if latest_version_graph.is_template != graph.is_template:
-        raise HTTPException(
-            400, detail="Changing is_template on an existing graph is forbidden"
-        )
-    graph.is_active = not graph.is_template
     graph = graph_db.make_graph_model(graph, user_id)
-    graph.reassign_ids(user_id=user_id)
+    graph.reassign_ids(user_id=user_id, reassign_graph_id=False)
+    graph.validate_graph(for_run=False)
 
     new_graph_version = await graph_db.create_graph(graph, user_id=user_id)
 
     if new_graph_version.is_active:
-
-        def get_credentials(credentials_id: str) -> "Credentials | None":
-            return integration_creds_manager.get(user_id, credentials_id)
+        # Keep the library agent up to date with the new active version
+        await library_db.update_agent_version_in_library(
+            user_id, graph.id, graph.version
+        )
 
         # Handle activation of the new graph first to ensure continuity
-        new_graph_version = await on_graph_activate(
-            new_graph_version,
-            get_credentials=get_credentials,
-        )
+        new_graph_version = await on_graph_activate(new_graph_version, user_id=user_id)
         # Ensure new version is the only active version
         await graph_db.set_graph_active_version(
             graph_id=graph_id, version=new_graph_version.version, user_id=user_id
         )
         if current_active_version:
             # Handle deactivation of the previously active version
-            await on_graph_deactivate(
-                current_active_version,
-                get_credentials=get_credentials,
-            )
+            await on_graph_deactivate(current_active_version, user_id=user_id)
 
-    return new_graph_version
+    # Fetch new graph version *with sub-graphs* (needed for credentials input schema)
+    new_graph_version_with_subgraphs = await graph_db.get_graph(
+        graph_id,
+        new_graph_version.version,
+        user_id=user_id,
+        include_subgraphs=True,
+    )
+    assert new_graph_version_with_subgraphs  # make type checker happy
+    return new_graph_version_with_subgraphs
 
 
 @v1_router.put(
     path="/graphs/{graph_id}/versions/active",
+    summary="Set active graph version",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
@@ -339,134 +749,191 @@ async def set_graph_active_version(
 
     current_active_graph = await graph_db.get_graph(graph_id, user_id=user_id)
 
-    def get_credentials(credentials_id: str) -> "Credentials | None":
-        return integration_creds_manager.get(user_id, credentials_id)
-
     # Handle activation of the new graph first to ensure continuity
-    await on_graph_activate(
-        new_active_graph,
-        get_credentials=get_credentials,
-    )
+    await on_graph_activate(new_active_graph, user_id=user_id)
     # Ensure new version is the only active version
     await graph_db.set_graph_active_version(
         graph_id=graph_id,
         version=new_active_version,
         user_id=user_id,
     )
+
+    # Keep the library agent up to date with the new active version
+    await library_db.update_agent_version_in_library(
+        user_id, new_active_graph.id, new_active_graph.version
+    )
+
     if current_active_graph and current_active_graph.version != new_active_version:
         # Handle deactivation of the previously active version
-        await on_graph_deactivate(
-            current_active_graph,
-            get_credentials=get_credentials,
-        )
+        await on_graph_deactivate(current_active_graph, user_id=user_id)
 
 
 @v1_router.post(
-    path="/graphs/{graph_id}/execute",
+    path="/graphs/{graph_id}/execute/{graph_version}",
+    summary="Execute graph agent",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
-def execute_graph(
+async def execute_graph(
     graph_id: str,
-    node_input: dict[Any, Any],
     user_id: Annotated[str, Depends(get_user_id)],
-) -> dict[str, Any]:  # FIXME: add proper return type
+    inputs: Annotated[dict[str, Any], Body(..., embed=True, default_factory=dict)],
+    credentials_inputs: Annotated[
+        dict[str, CredentialsMetaInput], Body(..., embed=True, default_factory=dict)
+    ],
+    graph_version: Optional[int] = None,
+    preset_id: Optional[str] = None,
+) -> ExecuteGraphResponse:
+    current_balance = await _user_credit_model.get_credits(user_id)
+    if current_balance <= 0:
+        raise HTTPException(
+            status_code=402,
+            detail="Insufficient balance to execute the agent. Please top up your account.",
+        )
+
     try:
-        graph_exec = execution_manager_client().add_execution(
-            graph_id, node_input, user_id=user_id
+        graph_exec = await execution_utils.add_graph_execution(
+            graph_id=graph_id,
+            user_id=user_id,
+            inputs=inputs,
+            preset_id=preset_id,
+            graph_version=graph_version,
+            graph_credentials_inputs=credentials_inputs,
+        )
+        return ExecuteGraphResponse(graph_exec_id=graph_exec.id)
+    except GraphValidationError as e:
+        # Return structured validation errors that the frontend can parse
+        raise HTTPException(
+            status_code=400,
+            detail={
+                "type": "validation_error",
+                "message": e.message,
+                # TODO: only return node-specific errors if user has access to graph
+                "node_errors": e.node_errors,
+            },
         )
-        return {"id": graph_exec.graph_exec_id}
-    except Exception as e:
-        msg = e.__str__().encode().decode("unicode_escape")
-        raise HTTPException(status_code=400, detail=msg)
 
 
 @v1_router.post(
     path="/graphs/{graph_id}/executions/{graph_exec_id}/stop",
+    summary="Stop graph execution",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
 async def stop_graph_run(
-    graph_exec_id: str, user_id: Annotated[str, Depends(get_user_id)]
-) -> Sequence[execution_db.ExecutionResult]:
-    if not await graph_db.get_execution(user_id=user_id, execution_id=graph_exec_id):
-        raise HTTPException(404, detail=f"Agent execution #{graph_exec_id} not found")
-
-    await asyncio.to_thread(
-        lambda: execution_manager_client().cancel_execution(graph_exec_id)
+    graph_id: str, graph_exec_id: str, user_id: Annotated[str, Depends(get_user_id)]
+) -> execution_db.GraphExecutionMeta | None:
+    res = await _stop_graph_run(
+        user_id=user_id,
+        graph_id=graph_id,
+        graph_exec_id=graph_exec_id,
     )
+    if not res:
+        return None
+    return res[0]
 
-    # Retrieve & return canceled graph execution in its final state
-    return await execution_db.get_execution_results(graph_exec_id)
+
+async def _stop_graph_run(
+    user_id: str,
+    graph_id: Optional[str] = None,
+    graph_exec_id: Optional[str] = None,
+) -> list[execution_db.GraphExecutionMeta]:
+    graph_execs = await execution_db.get_graph_executions(
+        user_id=user_id,
+        graph_id=graph_id,
+        graph_exec_id=graph_exec_id,
+        statuses=[
+            execution_db.ExecutionStatus.INCOMPLETE,
+            execution_db.ExecutionStatus.QUEUED,
+            execution_db.ExecutionStatus.RUNNING,
+        ],
+    )
+    stopped_execs = [
+        execution_utils.stop_graph_execution(graph_exec_id=exec.id, user_id=user_id)
+        for exec in graph_execs
+    ]
+    await asyncio.gather(*stopped_execs)
+    return graph_execs
 
 
 @v1_router.get(
     path="/executions",
+    summary="List all executions",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
-async def get_executions(
+async def list_graphs_executions(
     user_id: Annotated[str, Depends(get_user_id)],
-) -> list[graph_db.GraphExecution]:
-    return await graph_db.get_executions(user_id=user_id)
+) -> list[execution_db.GraphExecutionMeta]:
+    return await execution_db.get_graph_executions(user_id=user_id)
 
 
 @v1_router.get(
-    path="/graphs/{graph_id}/executions/{graph_exec_id}",
+    path="/graphs/{graph_id}/executions",
+    summary="List graph executions",
     tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
-async def get_graph_run_node_execution_results(
+async def list_graph_executions(
     graph_id: str,
-    graph_exec_id: str,
     user_id: Annotated[str, Depends(get_user_id)],
-) -> Sequence[execution_db.ExecutionResult]:
-    graph = await graph_db.get_graph(graph_id, user_id=user_id)
-    if not graph:
-        raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
-
-    return await execution_db.get_execution_results(graph_exec_id)
-
-
-########################################################
-##################### Templates ########################
-########################################################
+    page: int = Query(1, ge=1, description="Page number (1-indexed)"),
+    page_size: int = Query(
+        25, ge=1, le=100, description="Number of executions per page"
+    ),
+) -> execution_db.GraphExecutionsPaginated:
+    return await execution_db.get_graph_executions_paginated(
+        graph_id=graph_id,
+        user_id=user_id,
+        page=page,
+        page_size=page_size,
+    )
 
 
 @v1_router.get(
-    path="/templates",
-    tags=["graphs", "templates"],
+    path="/graphs/{graph_id}/executions/{graph_exec_id}",
+    summary="Get execution details",
+    tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
 )
-async def get_templates(
-    user_id: Annotated[str, Depends(get_user_id)]
-) -> Sequence[graph_db.GraphModel]:
-    return await graph_db.get_graphs(filter_by="template", user_id=user_id)
+async def get_graph_execution(
+    graph_id: str,
+    graph_exec_id: str,
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> execution_db.GraphExecution | execution_db.GraphExecutionWithNodes:
+    graph = await graph_db.get_graph(graph_id=graph_id, user_id=user_id)
+    if not graph:
+        raise HTTPException(
+            status_code=HTTP_404_NOT_FOUND, detail=f"Graph #{graph_id} not found"
+        )
 
+    result = await execution_db.get_graph_execution(
+        user_id=user_id,
+        execution_id=graph_exec_id,
+        include_node_executions=graph.user_id == user_id,
+    )
+    if not result or result.graph_id != graph_id:
+        raise HTTPException(
+            status_code=404, detail=f"Graph execution #{graph_exec_id} not found."
+        )
 
-@v1_router.get(
-    path="/templates/{graph_id}",
-    tags=["templates", "graphs"],
-    dependencies=[Depends(auth_middleware)],
-)
-async def get_template(
-    graph_id: str, version: int | None = None
-) -> graph_db.GraphModel:
-    graph = await graph_db.get_graph(graph_id, version, template=True)
-    if not graph:
-        raise HTTPException(status_code=404, detail=f"Template #{graph_id} not found.")
-    return graph
+    return result
 
 
-@v1_router.post(
-    path="/templates",
-    tags=["templates", "graphs"],
+@v1_router.delete(
+    path="/executions/{graph_exec_id}",
+    summary="Delete graph execution",
+    tags=["graphs"],
     dependencies=[Depends(auth_middleware)],
+    status_code=HTTP_204_NO_CONTENT,
 )
-async def create_new_template(
-    create_graph: CreateGraph, user_id: Annotated[str, Depends(get_user_id)]
-) -> graph_db.GraphModel:
-    return await do_create_graph(create_graph, is_template=True, user_id=user_id)
+async def delete_graph_execution(
+    graph_exec_id: str,
+    user_id: Annotated[str, Depends(get_user_id)],
+) -> None:
+    await execution_db.delete_graph_execution(
+        graph_exec_id=graph_exec_id, user_id=user_id
+    )
 
 
 ########################################################
@@ -475,63 +942,138 @@ async def create_new_template(
 
 
 class ScheduleCreationRequest(pydantic.BaseModel):
+    graph_version: Optional[int] = None
+    name: str
     cron: str
-    input_data: dict[Any, Any]
-    graph_id: str
+    inputs: dict[str, Any]
+    credentials: dict[str, CredentialsMetaInput] = pydantic.Field(default_factory=dict)
 
 
 @v1_router.post(
-    path="/schedules",
+    path="/graphs/{graph_id}/schedules",
+    summary="Create execution schedule",
     tags=["schedules"],
     dependencies=[Depends(auth_middleware)],
 )
-async def create_schedule(
+async def create_graph_execution_schedule(
     user_id: Annotated[str, Depends(get_user_id)],
-    schedule: ScheduleCreationRequest,
-) -> scheduler.JobInfo:
-    graph = await graph_db.get_graph(schedule.graph_id, user_id=user_id)
+    graph_id: str = Path(..., description="ID of the graph to schedule"),
+    schedule_params: ScheduleCreationRequest = Body(),
+) -> scheduler.GraphExecutionJobInfo:
+    graph = await graph_db.get_graph(
+        graph_id=graph_id,
+        version=schedule_params.graph_version,
+        user_id=user_id,
+    )
     if not graph:
         raise HTTPException(
-            status_code=404, detail=f"Graph #{schedule.graph_id} not found."
+            status_code=404,
+            detail=f"Graph #{graph_id} v{schedule_params.graph_version} not found.",
         )
 
-    return await asyncio.to_thread(
-        lambda: execution_scheduler_client().add_execution_schedule(
-            graph_id=schedule.graph_id,
-            graph_version=graph.version,
-            cron=schedule.cron,
-            input_data=schedule.input_data,
-            user_id=user_id,
+    user = await get_user_by_id(user_id)
+    user_timezone = get_user_timezone_or_utc(user.timezone if user else None)
+
+    # Convert cron expression from user timezone to UTC
+    try:
+        utc_cron = convert_cron_to_utc(schedule_params.cron, user_timezone)
+    except ValueError as e:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Invalid cron expression for timezone {user_timezone}: {e}",
         )
+
+    result = await get_scheduler_client().add_execution_schedule(
+        user_id=user_id,
+        graph_id=graph_id,
+        graph_version=graph.version,
+        name=schedule_params.name,
+        cron=utc_cron,  # Send UTC cron to scheduler
+        input_data=schedule_params.inputs,
+        input_credentials=schedule_params.credentials,
     )
 
+    # Convert the next_run_time back to user timezone for display
+    if result.next_run_time:
+        result.next_run_time = convert_utc_time_to_user_timezone(
+            result.next_run_time, user_timezone
+        )
 
-@v1_router.delete(
-    path="/schedules/{schedule_id}",
+    return result
+
+
+@v1_router.get(
+    path="/graphs/{graph_id}/schedules",
+    summary="List execution schedules for a graph",
     tags=["schedules"],
     dependencies=[Depends(auth_middleware)],
 )
-def delete_schedule(
-    schedule_id: str,
+async def list_graph_execution_schedules(
     user_id: Annotated[str, Depends(get_user_id)],
-) -> dict[Any, Any]:
-    execution_scheduler_client().delete_schedule(schedule_id, user_id=user_id)
-    return {"id": schedule_id}
+    graph_id: str = Path(),
+) -> list[scheduler.GraphExecutionJobInfo]:
+    schedules = await get_scheduler_client().get_execution_schedules(
+        user_id=user_id,
+        graph_id=graph_id,
+    )
+
+    # Get user timezone for conversion
+    user = await get_user_by_id(user_id)
+    user_timezone = get_user_timezone_or_utc(user.timezone if user else None)
+
+    # Convert next_run_time to user timezone for display
+    for schedule in schedules:
+        if schedule.next_run_time:
+            schedule.next_run_time = convert_utc_time_to_user_timezone(
+                schedule.next_run_time, user_timezone
+            )
+
+    return schedules
 
 
 @v1_router.get(
     path="/schedules",
+    summary="List execution schedules for a user",
     tags=["schedules"],
     dependencies=[Depends(auth_middleware)],
 )
-def get_execution_schedules(
+async def list_all_graphs_execution_schedules(
     user_id: Annotated[str, Depends(get_user_id)],
-    graph_id: str | None = None,
-) -> list[scheduler.JobInfo]:
-    return execution_scheduler_client().get_execution_schedules(
-        user_id=user_id,
-        graph_id=graph_id,
-    )
+) -> list[scheduler.GraphExecutionJobInfo]:
+    schedules = await get_scheduler_client().get_execution_schedules(user_id=user_id)
+
+    # Get user timezone for conversion
+    user = await get_user_by_id(user_id)
+    user_timezone = get_user_timezone_or_utc(user.timezone if user else None)
+
+    # Convert UTC next_run_time to user timezone for display
+    for schedule in schedules:
+        if schedule.next_run_time:
+            schedule.next_run_time = convert_utc_time_to_user_timezone(
+                schedule.next_run_time, user_timezone
+            )
+
+    return schedules
+
+
+@v1_router.delete(
+    path="/schedules/{schedule_id}",
+    summary="Delete execution schedule",
+    tags=["schedules"],
+    dependencies=[Depends(auth_middleware)],
+)
+async def delete_graph_execution_schedule(
+    user_id: Annotated[str, Depends(get_user_id)],
+    schedule_id: str = Path(..., description="ID of the schedule to delete"),
+) -> dict[str, Any]:
+    try:
+        await get_scheduler_client().delete_schedule(schedule_id, user_id=user_id)
+    except NotFoundError:
+        raise HTTPException(
+            status_code=HTTP_404_NOT_FOUND,
+            detail=f"Schedule #{schedule_id} not found",
+        )
+    return {"id": schedule_id}
 
 
 ########################################################
@@ -541,11 +1083,11 @@ def get_execution_schedules(
 
 @v1_router.post(
     "/api-keys",
-    response_model=list[CreateAPIKeyResponse] | dict[str, str],
+    summary="Create new API key",
+    response_model=CreateAPIKeyResponse,
     tags=["api-keys"],
     dependencies=[Depends(auth_middleware)],
 )
-@feature_flag("api-keys-enabled")
 async def create_api_key(
     request: CreateAPIKeyRequest, user_id: Annotated[str, Depends(get_user_id)]
 ) -> CreateAPIKeyResponse:
@@ -559,35 +1101,45 @@ async def create_api_key(
         )
         return CreateAPIKeyResponse(api_key=api_key, plain_text_key=plain_text)
     except APIKeyError as e:
-        logger.error(f"Failed to create API key: {str(e)}")
-        raise HTTPException(status_code=400, detail=str(e))
+        logger.error(
+            "Could not create API key for user %s: %s. Review input and permissions.",
+            user_id,
+            e,
+        )
+        raise HTTPException(
+            status_code=400,
+            detail={"message": str(e), "hint": "Verify request payload and try again."},
+        )
 
 
 @v1_router.get(
     "/api-keys",
+    summary="List user API keys",
     response_model=list[APIKeyWithoutHash] | dict[str, str],
     tags=["api-keys"],
     dependencies=[Depends(auth_middleware)],
 )
-@feature_flag("api-keys-enabled")
 async def get_api_keys(
-    user_id: Annotated[str, Depends(get_user_id)]
+    user_id: Annotated[str, Depends(get_user_id)],
 ) -> list[APIKeyWithoutHash]:
     """List all API keys for the user"""
     try:
         return await list_user_api_keys(user_id)
     except APIKeyError as e:
-        logger.error(f"Failed to list API keys: {str(e)}")
-        raise HTTPException(status_code=400, detail=str(e))
+        logger.error("Failed to list API keys for user %s: %s", user_id, e)
+        raise HTTPException(
+            status_code=400,
+            detail={"message": str(e), "hint": "Check API key service availability."},
+        )
 
 
 @v1_router.get(
     "/api-keys/{key_id}",
-    response_model=list[APIKeyWithoutHash] | dict[str, str],
+    summary="Get specific API key",
+    response_model=APIKeyWithoutHash,
     tags=["api-keys"],
     dependencies=[Depends(auth_middleware)],
 )
-@feature_flag("api-keys-enabled")
 async def get_api_key(
     key_id: str, user_id: Annotated[str, Depends(get_user_id)]
 ) -> APIKeyWithoutHash:
@@ -598,17 +1150,20 @@ async def get_api_key(
             raise HTTPException(status_code=404, detail="API key not found")
         return api_key
     except APIKeyError as e:
-        logger.error(f"Failed to get API key: {str(e)}")
-        raise HTTPException(status_code=400, detail=str(e))
+        logger.error("Error retrieving API key %s for user %s: %s", key_id, user_id, e)
+        raise HTTPException(
+            status_code=400,
+            detail={"message": str(e), "hint": "Ensure the key ID is correct."},
+        )
 
 
 @v1_router.delete(
     "/api-keys/{key_id}",
-    response_model=list[APIKeyWithoutHash] | dict[str, str],
+    summary="Revoke API key",
+    response_model=APIKeyWithoutHash,
     tags=["api-keys"],
     dependencies=[Depends(auth_middleware)],
 )
-@feature_flag("api-keys-enabled")
 async def delete_api_key(
     key_id: str, user_id: Annotated[str, Depends(get_user_id)]
 ) -> Optional[APIKeyWithoutHash]:
@@ -620,17 +1175,23 @@ async def delete_api_key(
     except APIKeyPermissionError:
         raise HTTPException(status_code=403, detail="Permission denied")
     except APIKeyError as e:
-        logger.error(f"Failed to revoke API key: {str(e)}")
-        raise HTTPException(status_code=400, detail=str(e))
+        logger.error("Failed to revoke API key %s for user %s: %s", key_id, user_id, e)
+        raise HTTPException(
+            status_code=400,
+            detail={
+                "message": str(e),
+                "hint": "Verify permissions or try again later.",
+            },
+        )
 
 
 @v1_router.post(
     "/api-keys/{key_id}/suspend",
-    response_model=list[APIKeyWithoutHash] | dict[str, str],
+    summary="Suspend API key",
+    response_model=APIKeyWithoutHash,
     tags=["api-keys"],
     dependencies=[Depends(auth_middleware)],
 )
-@feature_flag("api-keys-enabled")
 async def suspend_key(
     key_id: str, user_id: Annotated[str, Depends(get_user_id)]
 ) -> Optional[APIKeyWithoutHash]:
@@ -642,17 +1203,20 @@ async def suspend_key(
     except APIKeyPermissionError:
         raise HTTPException(status_code=403, detail="Permission denied")
     except APIKeyError as e:
-        logger.error(f"Failed to suspend API key: {str(e)}")
-        raise HTTPException(status_code=400, detail=str(e))
+        logger.error("Failed to suspend API key %s for user %s: %s", key_id, user_id, e)
+        raise HTTPException(
+            status_code=400,
+            detail={"message": str(e), "hint": "Check user permissions and retry."},
+        )
 
 
 @v1_router.put(
     "/api-keys/{key_id}/permissions",
-    response_model=list[APIKeyWithoutHash] | dict[str, str],
+    summary="Update key permissions",
+    response_model=APIKeyWithoutHash,
     tags=["api-keys"],
     dependencies=[Depends(auth_middleware)],
 )
-@feature_flag("api-keys-enabled")
 async def update_permissions(
     key_id: str,
     request: UpdatePermissionsRequest,
@@ -666,5 +1230,13 @@ async def update_permissions(
     except APIKeyPermissionError:
         raise HTTPException(status_code=403, detail="Permission denied")
     except APIKeyError as e:
-        logger.error(f"Failed to update API key permissions: {str(e)}")
-        raise HTTPException(status_code=400, detail=str(e))
+        logger.error(
+            "Failed to update permissions for API key %s of user %s: %s",
+            key_id,
+            user_id,
+            e,
+        )
+        raise HTTPException(
+            status_code=400,
+            detail={"message": str(e), "hint": "Ensure permissions list is valid."},
+        )
diff --git a/autogpt_platform/backend/backend/server/routers/v1_test.py b/autogpt_platform/backend/backend/server/routers/v1_test.py
new file mode 100644
index 000000000000..eb18fc322c15
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/routers/v1_test.py
@@ -0,0 +1,621 @@
+import json
+from io import BytesIO
+from unittest.mock import AsyncMock, Mock, patch
+
+import autogpt_libs.auth.depends
+import fastapi
+import fastapi.testclient
+import pytest
+import pytest_mock
+import starlette.datastructures
+from fastapi import HTTPException, UploadFile
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.routers.v1 as v1_routes
+from backend.data.credit import AutoTopUpConfig
+from backend.data.graph import GraphModel
+from backend.server.conftest import TEST_USER_ID
+from backend.server.routers.v1 import upload_file
+from backend.server.utils import get_user_id
+
+app = fastapi.FastAPI()
+app.include_router(v1_routes.v1_router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def override_auth_middleware(request: fastapi.Request) -> dict[str, str]:
+    """Override auth middleware for testing"""
+    return {"sub": TEST_USER_ID, "role": "user", "email": "test@example.com"}
+
+
+def override_get_user_id() -> str:
+    """Override get_user_id for testing"""
+    return TEST_USER_ID
+
+
+app.dependency_overrides[autogpt_libs.auth.middleware.auth_middleware] = (
+    override_auth_middleware
+)
+app.dependency_overrides[get_user_id] = override_get_user_id
+
+
+# Auth endpoints tests
+def test_get_or_create_user_route(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test get or create user endpoint"""
+    mock_user = Mock()
+    mock_user.model_dump.return_value = {
+        "id": TEST_USER_ID,
+        "email": "test@example.com",
+        "name": "Test User",
+    }
+
+    mocker.patch(
+        "backend.server.routers.v1.get_or_create_user",
+        return_value=mock_user,
+    )
+
+    response = client.post("/auth/user")
+
+    assert response.status_code == 200
+    response_data = response.json()
+
+    configured_snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "auth_user",
+    )
+
+
+def test_update_user_email_route(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test update user email endpoint"""
+    mocker.patch(
+        "backend.server.routers.v1.update_user_email",
+        return_value=None,
+    )
+
+    response = client.post("/auth/user/email", json="newemail@example.com")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["email"] == "newemail@example.com"
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "auth_email",
+    )
+
+
+# Blocks endpoints tests
+def test_get_graph_blocks(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test get blocks endpoint"""
+    # Mock block
+    mock_block = Mock()
+    mock_block.to_dict.return_value = {
+        "id": "test-block",
+        "name": "Test Block",
+        "description": "A test block",
+        "disabled": False,
+    }
+    mock_block.id = "test-block"
+    mock_block.disabled = False
+
+    # Mock get_blocks
+    mocker.patch(
+        "backend.server.routers.v1.get_blocks",
+        return_value={"test-block": lambda: mock_block},
+    )
+
+    # Mock block costs
+    mocker.patch(
+        "backend.server.routers.v1.get_block_costs",
+        return_value={"test-block": [{"cost": 10, "type": "credit"}]},
+    )
+
+    response = client.get("/blocks")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert len(response_data) == 1
+    assert response_data[0]["id"] == "test-block"
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "blks_all",
+    )
+
+
+def test_execute_graph_block(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test execute block endpoint"""
+    # Mock block
+    mock_block = Mock()
+
+    async def mock_execute(*args, **kwargs):
+        yield "output1", {"data": "result1"}
+        yield "output2", {"data": "result2"}
+
+    mock_block.execute = mock_execute
+
+    mocker.patch(
+        "backend.server.routers.v1.get_block",
+        return_value=mock_block,
+    )
+
+    request_data = {
+        "input_name": "test_input",
+        "input_value": "test_value",
+    }
+
+    response = client.post("/blocks/test-block/execute", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "blks_exec",
+    )
+
+
+def test_execute_graph_block_not_found(
+    mocker: pytest_mock.MockFixture,
+) -> None:
+    """Test execute block with non-existent block"""
+    mocker.patch(
+        "backend.server.routers.v1.get_block",
+        return_value=None,
+    )
+
+    response = client.post("/blocks/nonexistent-block/execute", json={})
+
+    assert response.status_code == 404
+    assert "not found" in response.json()["detail"]
+
+
+# Credits endpoints tests
+def test_get_user_credits(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test get user credits endpoint"""
+    mock_credit_model = mocker.patch("backend.server.routers.v1._user_credit_model")
+    mock_credit_model.get_credits = AsyncMock(return_value=1000)
+
+    response = client.get("/credits")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["credits"] == 1000
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "cred_bal",
+    )
+
+
+def test_request_top_up(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test request top up endpoint"""
+    mock_credit_model = mocker.patch("backend.server.routers.v1._user_credit_model")
+    mock_credit_model.top_up_intent = AsyncMock(
+        return_value="https://checkout.example.com/session123"
+    )
+
+    request_data = {"credit_amount": 500}
+
+    response = client.post("/credits", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert "checkout_url" in response_data
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "cred_topup_req",
+    )
+
+
+def test_get_auto_top_up(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test get auto top-up configuration endpoint"""
+    mock_config = AutoTopUpConfig(threshold=100, amount=500)
+
+    mocker.patch(
+        "backend.server.routers.v1.get_auto_top_up",
+        return_value=mock_config,
+    )
+
+    response = client.get("/credits/auto-top-up")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["threshold"] == 100
+    assert response_data["amount"] == 500
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "cred_topup_cfg",
+    )
+
+
+# Graphs endpoints tests
+def test_get_graphs(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test get graphs endpoint"""
+    mock_graph = GraphModel(
+        id="graph-123",
+        version=1,
+        is_active=True,
+        name="Test Graph",
+        description="A test graph",
+        user_id="test-user-id",
+    )
+
+    mocker.patch(
+        "backend.server.routers.v1.graph_db.list_graphs",
+        return_value=[mock_graph],
+    )
+
+    response = client.get("/graphs")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert len(response_data) == 1
+    assert response_data[0]["id"] == "graph-123"
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "grphs_all",
+    )
+
+
+def test_get_graph(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test get single graph endpoint"""
+    mock_graph = GraphModel(
+        id="graph-123",
+        version=1,
+        is_active=True,
+        name="Test Graph",
+        description="A test graph",
+        user_id="test-user-id",
+    )
+
+    mocker.patch(
+        "backend.server.routers.v1.graph_db.get_graph",
+        return_value=mock_graph,
+    )
+
+    response = client.get("/graphs/graph-123")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["id"] == "graph-123"
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "grph_single",
+    )
+
+
+def test_get_graph_not_found(
+    mocker: pytest_mock.MockFixture,
+) -> None:
+    """Test get graph with non-existent ID"""
+    mocker.patch(
+        "backend.server.routers.v1.graph_db.get_graph",
+        return_value=None,
+    )
+
+    response = client.get("/graphs/nonexistent-graph")
+
+    assert response.status_code == 404
+    assert "not found" in response.json()["detail"]
+
+
+def test_delete_graph(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test delete graph endpoint"""
+    # Mock active graph for deactivation
+    mock_graph = GraphModel(
+        id="graph-123",
+        version=1,
+        is_active=True,
+        name="Test Graph",
+        description="A test graph",
+        user_id="test-user-id",
+    )
+
+    mocker.patch(
+        "backend.server.routers.v1.graph_db.get_graph",
+        return_value=mock_graph,
+    )
+    mocker.patch(
+        "backend.server.routers.v1.on_graph_deactivate",
+        return_value=None,
+    )
+    mocker.patch(
+        "backend.server.routers.v1.graph_db.delete_graph",
+        return_value=3,  # Number of versions deleted
+    )
+
+    response = client.delete("/graphs/graph-123")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["version_counts"] == 3
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "grphs_del",
+    )
+
+
+# Invalid request tests
+def test_invalid_json_request() -> None:
+    """Test endpoint with invalid JSON"""
+    response = client.post(
+        "/auth/user/email",
+        content="invalid json",
+        headers={"Content-Type": "application/json"},
+    )
+    assert response.status_code == 422
+
+
+def test_missing_required_field() -> None:
+    """Test endpoint with missing required field"""
+    response = client.post("/credits", json={})  # Missing credit_amount
+    assert response.status_code == 422
+
+
+@pytest.mark.asyncio
+async def test_upload_file_success():
+    """Test successful file upload."""
+    # Create mock upload file
+    file_content = b"test file content"
+    file_obj = BytesIO(file_content)
+    upload_file_mock = UploadFile(
+        filename="test.txt",
+        file=file_obj,
+        headers=starlette.datastructures.Headers({"content-type": "text/plain"}),
+    )
+
+    # Mock dependencies
+    with patch("backend.server.routers.v1.scan_content_safe") as mock_scan, patch(
+        "backend.server.routers.v1.get_cloud_storage_handler"
+    ) as mock_handler_getter:
+
+        mock_scan.return_value = None
+        mock_handler = AsyncMock()
+        mock_handler.store_file.return_value = "gcs://test-bucket/uploads/123/test.txt"
+        mock_handler_getter.return_value = mock_handler
+
+        # Mock file.read()
+        upload_file_mock.read = AsyncMock(return_value=file_content)
+
+        result = await upload_file(
+            file=upload_file_mock,
+            user_id="test-user-123",
+            provider="gcs",
+            expiration_hours=24,
+        )
+
+        # Verify result
+        assert result.file_uri == "gcs://test-bucket/uploads/123/test.txt"
+        assert result.file_name == "test.txt"
+        assert result.size == len(file_content)
+        assert result.content_type == "text/plain"
+        assert result.expires_in_hours == 24
+
+        # Verify virus scan was called
+        mock_scan.assert_called_once_with(file_content, filename="test.txt")
+
+        # Verify cloud storage operations
+        mock_handler.store_file.assert_called_once_with(
+            content=file_content,
+            filename="test.txt",
+            provider="gcs",
+            expiration_hours=24,
+            user_id="test-user-123",
+        )
+
+
+@pytest.mark.asyncio
+async def test_upload_file_no_filename():
+    """Test file upload without filename."""
+    file_content = b"test content"
+    file_obj = BytesIO(file_content)
+    upload_file_mock = UploadFile(
+        filename=None,
+        file=file_obj,
+        headers=starlette.datastructures.Headers(
+            {"content-type": "application/octet-stream"}
+        ),
+    )
+
+    with patch("backend.server.routers.v1.scan_content_safe") as mock_scan, patch(
+        "backend.server.routers.v1.get_cloud_storage_handler"
+    ) as mock_handler_getter:
+
+        mock_scan.return_value = None
+        mock_handler = AsyncMock()
+        mock_handler.store_file.return_value = (
+            "gcs://test-bucket/uploads/123/uploaded_file"
+        )
+        mock_handler_getter.return_value = mock_handler
+
+        upload_file_mock.read = AsyncMock(return_value=file_content)
+
+        result = await upload_file(file=upload_file_mock, user_id="test-user-123")
+
+        assert result.file_name == "uploaded_file"
+        assert result.content_type == "application/octet-stream"
+
+        # Verify virus scan was called with default filename
+        mock_scan.assert_called_once_with(file_content, filename="uploaded_file")
+
+
+@pytest.mark.asyncio
+async def test_upload_file_invalid_expiration():
+    """Test file upload with invalid expiration hours."""
+    file_obj = BytesIO(b"content")
+    upload_file_mock = UploadFile(
+        filename="test.txt",
+        file=file_obj,
+        headers=starlette.datastructures.Headers({"content-type": "text/plain"}),
+    )
+
+    # Test expiration too short
+    with pytest.raises(HTTPException) as exc_info:
+        await upload_file(
+            file=upload_file_mock, user_id="test-user-123", expiration_hours=0
+        )
+    assert exc_info.value.status_code == 400
+    assert "between 1 and 48" in exc_info.value.detail
+
+    # Test expiration too long
+    with pytest.raises(HTTPException) as exc_info:
+        await upload_file(
+            file=upload_file_mock, user_id="test-user-123", expiration_hours=49
+        )
+    assert exc_info.value.status_code == 400
+    assert "between 1 and 48" in exc_info.value.detail
+
+
+@pytest.mark.asyncio
+async def test_upload_file_virus_scan_failure():
+    """Test file upload when virus scan fails."""
+    file_content = b"malicious content"
+    file_obj = BytesIO(file_content)
+    upload_file_mock = UploadFile(
+        filename="virus.txt",
+        file=file_obj,
+        headers=starlette.datastructures.Headers({"content-type": "text/plain"}),
+    )
+
+    with patch("backend.server.routers.v1.scan_content_safe") as mock_scan:
+        # Mock virus scan to raise exception
+        mock_scan.side_effect = RuntimeError("Virus detected!")
+
+        upload_file_mock.read = AsyncMock(return_value=file_content)
+
+        with pytest.raises(RuntimeError, match="Virus detected!"):
+            await upload_file(file=upload_file_mock, user_id="test-user-123")
+
+
+@pytest.mark.asyncio
+async def test_upload_file_cloud_storage_failure():
+    """Test file upload when cloud storage fails."""
+    file_content = b"test content"
+    file_obj = BytesIO(file_content)
+    upload_file_mock = UploadFile(
+        filename="test.txt",
+        file=file_obj,
+        headers=starlette.datastructures.Headers({"content-type": "text/plain"}),
+    )
+
+    with patch("backend.server.routers.v1.scan_content_safe") as mock_scan, patch(
+        "backend.server.routers.v1.get_cloud_storage_handler"
+    ) as mock_handler_getter:
+
+        mock_scan.return_value = None
+        mock_handler = AsyncMock()
+        mock_handler.store_file.side_effect = RuntimeError("Storage error!")
+        mock_handler_getter.return_value = mock_handler
+
+        upload_file_mock.read = AsyncMock(return_value=file_content)
+
+        with pytest.raises(RuntimeError, match="Storage error!"):
+            await upload_file(file=upload_file_mock, user_id="test-user-123")
+
+
+@pytest.mark.asyncio
+async def test_upload_file_size_limit_exceeded():
+    """Test file upload when file size exceeds the limit."""
+    # Create a file that exceeds the default 256MB limit
+    large_file_content = b"x" * (257 * 1024 * 1024)  # 257MB
+    file_obj = BytesIO(large_file_content)
+    upload_file_mock = UploadFile(
+        filename="large_file.txt",
+        file=file_obj,
+        headers=starlette.datastructures.Headers({"content-type": "text/plain"}),
+    )
+
+    upload_file_mock.read = AsyncMock(return_value=large_file_content)
+
+    with pytest.raises(HTTPException) as exc_info:
+        await upload_file(file=upload_file_mock, user_id="test-user-123")
+
+    assert exc_info.value.status_code == 400
+    assert "exceeds the maximum allowed size of 256MB" in exc_info.value.detail
+
+
+@pytest.mark.asyncio
+async def test_upload_file_gcs_not_configured_fallback():
+    """Test file upload fallback to base64 when GCS is not configured."""
+    file_content = b"test file content"
+    file_obj = BytesIO(file_content)
+    upload_file_mock = UploadFile(
+        filename="test.txt",
+        file=file_obj,
+        headers=starlette.datastructures.Headers({"content-type": "text/plain"}),
+    )
+
+    with patch("backend.server.routers.v1.scan_content_safe") as mock_scan, patch(
+        "backend.server.routers.v1.get_cloud_storage_handler"
+    ) as mock_handler_getter:
+
+        mock_scan.return_value = None
+        mock_handler = AsyncMock()
+        mock_handler.config.gcs_bucket_name = ""  # Simulate no GCS bucket configured
+        mock_handler_getter.return_value = mock_handler
+
+        upload_file_mock.read = AsyncMock(return_value=file_content)
+
+        result = await upload_file(file=upload_file_mock, user_id="test-user-123")
+
+        # Verify fallback behavior
+        assert result.file_name == "test.txt"
+        assert result.size == len(file_content)
+        assert result.content_type == "text/plain"
+        assert result.expires_in_hours == 24
+
+        # Verify file_uri is base64 data URI
+        expected_data_uri = "data:text/plain;base64,dGVzdCBmaWxlIGNvbnRlbnQ="
+        assert result.file_uri == expected_data_uri
+
+        # Verify virus scan was called
+        mock_scan.assert_called_once_with(file_content, filename="test.txt")
+
+        # Verify cloud storage methods were NOT called
+        mock_handler.store_file.assert_not_called()
diff --git a/autogpt_platform/backend/backend/server/test_fixtures.py b/autogpt_platform/backend/backend/server/test_fixtures.py
new file mode 100644
index 000000000000..f787724649aa
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/test_fixtures.py
@@ -0,0 +1,144 @@
+"""Common test fixtures with proper setup and teardown."""
+
+from contextlib import asynccontextmanager
+from typing import AsyncGenerator
+from unittest.mock import Mock, patch
+
+import pytest
+from prisma import Prisma
+
+
+@pytest.fixture
+async def test_db_connection() -> AsyncGenerator[Prisma, None]:
+    """Provide a test database connection with proper cleanup.
+
+    This fixture ensures the database connection is properly
+    closed after the test, even if the test fails.
+    """
+    db = Prisma()
+    try:
+        await db.connect()
+        yield db
+    finally:
+        await db.disconnect()
+
+
+@pytest.fixture
+def mock_transaction():
+    """Mock database transaction with proper async context manager."""
+
+    @asynccontextmanager
+    async def mock_context(*args, **kwargs):
+        yield None
+
+    with patch("backend.data.db.locked_transaction", side_effect=mock_context) as mock:
+        yield mock
+
+
+@pytest.fixture
+def isolated_app_state():
+    """Fixture that ensures app state is isolated between tests."""
+    # Example: Save original state
+    # from backend.server.app import app
+    # original_overrides = app.dependency_overrides.copy()
+
+    # try:
+    #     yield app
+    # finally:
+    #     # Restore original state
+    #     app.dependency_overrides = original_overrides
+
+    # For now, just yield None as this is an example
+    yield None
+
+
+@pytest.fixture
+def cleanup_files():
+    """Fixture to track and cleanup files created during tests."""
+    created_files = []
+
+    def track_file(filepath: str):
+        created_files.append(filepath)
+
+    yield track_file
+
+    # Cleanup
+    import os
+
+    for filepath in created_files:
+        try:
+            if os.path.exists(filepath):
+                os.remove(filepath)
+        except Exception as e:
+            print(f"Warning: Failed to cleanup {filepath}: {e}")
+
+
+@pytest.fixture
+async def async_mock_with_cleanup():
+    """Create async mocks that are properly cleaned up."""
+    mocks = []
+
+    def create_mock(**kwargs):
+        mock = Mock(**kwargs)
+        mocks.append(mock)
+        return mock
+
+    yield create_mock
+
+    # Reset all mocks
+    for mock in mocks:
+        mock.reset_mock()
+
+
+class TestDatabaseIsolation:
+    """Example of proper test isolation with database operations."""
+
+    @pytest.fixture(autouse=True)
+    async def setup_and_teardown(self, test_db_connection):
+        """Setup and teardown for each test method."""
+        # Setup: Clear test data
+        await test_db_connection.user.delete_many(
+            where={"email": {"contains": "@test.example"}}
+        )
+
+        yield
+
+        # Teardown: Clear test data again
+        await test_db_connection.user.delete_many(
+            where={"email": {"contains": "@test.example"}}
+        )
+
+    @pytest.fixture(scope="session")
+    async def test_create_user(self, test_db_connection):
+        """Test that demonstrates proper isolation."""
+        # This test has access to a clean database
+        user = await test_db_connection.user.create(
+            data={
+                "id": "test-user-id",
+                "email": "test@test.example",
+                "name": "Test User",
+            }
+        )
+        assert user.email == "test@test.example"
+        # User will be cleaned up automatically
+
+
+@pytest.fixture(scope="function")  # Explicitly use function scope
+def reset_singleton_state():
+    """Reset singleton state between tests."""
+    # Example: Reset a singleton instance
+    # from backend.data.some_singleton import SingletonClass
+
+    # # Save original state
+    # original_instance = getattr(SingletonClass, "_instance", None)
+
+    # try:
+    #     # Clear singleton
+    #     SingletonClass._instance = None
+    #     yield
+    # finally:
+    #     # Restore original state
+    #     SingletonClass._instance = original_instance
+
+    # For now, just yield None as this is an example
+    yield None
diff --git a/autogpt_platform/backend/backend/server/test_helpers.py b/autogpt_platform/backend/backend/server/test_helpers.py
new file mode 100644
index 000000000000..98073f0992f8
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/test_helpers.py
@@ -0,0 +1,109 @@
+"""Helper functions for improved test assertions and error handling."""
+
+import json
+from typing import Any, Dict, Optional
+
+
+def assert_response_status(
+    response: Any, expected_status: int = 200, error_context: Optional[str] = None
+) -> None:
+    """Assert response status with helpful error message.
+
+    Args:
+        response: The HTTP response object
+        expected_status: Expected status code
+        error_context: Optional context to include in error message
+    """
+    if response.status_code != expected_status:
+        error_msg = f"Expected status {expected_status}, got {response.status_code}"
+        if error_context:
+            error_msg = f"{error_context}: {error_msg}"
+
+        # Try to include response body in error
+        try:
+            body = response.json()
+            error_msg += f"\nResponse body: {json.dumps(body, indent=2)}"
+        except Exception:
+            error_msg += f"\nResponse text: {response.text}"
+
+        raise AssertionError(error_msg)
+
+
+def safe_parse_json(
+    response: Any, error_context: Optional[str] = None
+) -> Dict[str, Any]:
+    """Safely parse JSON response with error handling.
+
+    Args:
+        response: The HTTP response object
+        error_context: Optional context for error messages
+
+    Returns:
+        Parsed JSON data
+
+    Raises:
+        AssertionError: If JSON parsing fails
+    """
+    try:
+        return response.json()
+    except Exception as e:
+        error_msg = f"Failed to parse JSON response: {e}"
+        if error_context:
+            error_msg = f"{error_context}: {error_msg}"
+        error_msg += f"\nResponse text: {response.text[:500]}"
+        raise AssertionError(error_msg)
+
+
+def assert_error_response_structure(
+    response: Any,
+    expected_status: int = 422,
+    expected_error_fields: Optional[list[str]] = None,
+) -> Dict[str, Any]:
+    """Assert error response has expected structure.
+
+    Args:
+        response: The HTTP response object
+        expected_status: Expected error status code
+        expected_error_fields: List of expected fields in error detail
+
+    Returns:
+        Parsed error response
+    """
+    assert_response_status(response, expected_status, "Error response check")
+
+    error_data = safe_parse_json(response, "Error response parsing")
+
+    # Check basic error structure
+    assert "detail" in error_data, f"Missing 'detail' in error response: {error_data}"
+
+    # Check specific error fields if provided
+    if expected_error_fields:
+        detail = error_data["detail"]
+        if isinstance(detail, list):
+            # FastAPI validation errors
+            for error in detail:
+                assert "loc" in error, f"Missing 'loc' in error: {error}"
+                assert "msg" in error, f"Missing 'msg' in error: {error}"
+                assert "type" in error, f"Missing 'type' in error: {error}"
+
+    return error_data
+
+
+def assert_mock_called_with_partial(mock_obj: Any, **expected_kwargs: Any) -> None:
+    """Assert mock was called with expected kwargs (partial match).
+
+    Args:
+        mock_obj: The mock object to check
+        **expected_kwargs: Expected keyword arguments
+    """
+    assert mock_obj.called, f"Mock {mock_obj} was not called"
+
+    actual_kwargs = mock_obj.call_args.kwargs if mock_obj.call_args else {}
+
+    for key, expected_value in expected_kwargs.items():
+        assert (
+            key in actual_kwargs
+        ), f"Missing key '{key}' in mock call. Actual keys: {list(actual_kwargs.keys())}"
+        assert (
+            actual_kwargs[key] == expected_value
+        ), f"Mock called with {key}={actual_kwargs[key]}, expected {expected_value}"
diff --git a/autogpt_platform/backend/backend/server/test_utils.py b/autogpt_platform/backend/backend/server/test_utils.py
new file mode 100644
index 000000000000..567e9d5e5c7d
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/test_utils.py
@@ -0,0 +1,74 @@
+"""Common test utilities and constants for server tests."""
+
+from typing import Any, Dict
+from unittest.mock import Mock
+
+import pytest
+
+# Test ID constants
+TEST_USER_ID = "test-user-id"
+ADMIN_USER_ID = "admin-user-id"
+TARGET_USER_ID = "target-user-id"
+
+# Common test data constants
+FIXED_TIMESTAMP = "2024-01-01T00:00:00Z"
+TRANSACTION_UUID = "transaction-123-uuid"
+METRIC_UUID = "metric-123-uuid"
+ANALYTICS_UUID = "analytics-123-uuid"
+
+
+def create_mock_with_id(mock_id: str) -> Mock:
+    """Create a mock object with an id attribute.
+
+    Args:
+        mock_id: The ID value to set on the mock
+
+    Returns:
+        Mock object with id attribute set
+    """
+    return Mock(id=mock_id)
+
+
+def assert_status_and_parse_json(
+    response: Any, expected_status: int = 200
+) -> Dict[str, Any]:
+    """Assert response status and return parsed JSON.
+
+    Args:
+        response: The HTTP response object
+        expected_status: Expected status code (default: 200)
+
+    Returns:
+        Parsed JSON response data
+
+    Raises:
+        AssertionError: If status code doesn't match expected
+    """
+    assert (
+        response.status_code == expected_status
+    ), f"Expected status {expected_status}, got {response.status_code}: {response.text}"
+    return response.json()
+
+
+@pytest.mark.parametrize(
+    "metric_value,metric_name,data_string",
+    [
+        (100, "api_calls_count", "external_api"),
+        (0, "error_count", "no_errors"),
+        (-5.2, "temperature_delta", "cooling"),
+        (1.23456789, "precision_test", "float_precision"),
+        (999999999, "large_number", "max_value"),
+    ],
+)
+def parametrized_metric_values_decorator(func):
+    """Decorator for parametrized metric value tests."""
+    return pytest.mark.parametrize(
+        "metric_value,metric_name,data_string",
+        [
+            (100, "api_calls_count", "external_api"),
+            (0, "error_count", "no_errors"),
+            (-5.2, "temperature_delta", "cooling"),
+            (1.23456789, "precision_test", "float_precision"),
+            (999999999, "large_number", "max_value"),
+        ],
+    )(func)
diff --git a/autogpt_platform/backend/backend/server/v2/AutoMod/__init__.py b/autogpt_platform/backend/backend/server/v2/AutoMod/__init__.py
new file mode 100644
index 000000000000..c721d22efa35
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/AutoMod/__init__.py
@@ -0,0 +1 @@
+# AutoMod integration for content moderation
diff --git a/autogpt_platform/backend/backend/server/v2/AutoMod/manager.py b/autogpt_platform/backend/backend/server/v2/AutoMod/manager.py
new file mode 100644
index 000000000000..181fcec24875
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/AutoMod/manager.py
@@ -0,0 +1,364 @@
+import asyncio
+import json
+import logging
+from typing import TYPE_CHECKING, Any, Literal
+
+if TYPE_CHECKING:
+    from backend.executor import DatabaseManagerAsyncClient
+
+from pydantic import ValidationError
+
+from backend.data.execution import ExecutionStatus
+from backend.server.v2.AutoMod.models import (
+    AutoModRequest,
+    AutoModResponse,
+    ModerationConfig,
+)
+from backend.util.exceptions import ModerationError
+from backend.util.feature_flag import Flag, is_feature_enabled
+from backend.util.request import Requests
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+
+
+class AutoModManager:
+
+    def __init__(self):
+        self.config = self._load_config()
+
+    def _load_config(self) -> ModerationConfig:
+        """Load AutoMod configuration from settings"""
+        settings = Settings()
+        return ModerationConfig(
+            enabled=settings.config.automod_enabled,
+            api_url=settings.config.automod_api_url,
+            api_key=settings.secrets.automod_api_key,
+            timeout=settings.config.automod_timeout,
+            retry_attempts=settings.config.automod_retry_attempts,
+            retry_delay=settings.config.automod_retry_delay,
+            fail_open=settings.config.automod_fail_open,
+        )
+
+    async def moderate_graph_execution_inputs(
+        self, db_client: "DatabaseManagerAsyncClient", graph_exec, timeout: int = 10
+    ) -> Exception | None:
+        """
+        Complete input moderation flow for graph execution
+        Returns: error_if_failed (None means success)
+        """
+        if not self.config.enabled:
+            return None
+
+        # Check if AutoMod feature is enabled for this user
+        if not await is_feature_enabled(Flag.AUTOMOD, graph_exec.user_id):
+            logger.debug(f"AutoMod feature not enabled for user {graph_exec.user_id}")
+            return None
+
+        # Get graph model and collect all inputs
+        graph_model = await db_client.get_graph(
+            graph_exec.graph_id,
+            user_id=graph_exec.user_id,
+            version=graph_exec.graph_version,
+        )
+
+        if not graph_model or not graph_model.nodes:
+            return None
+
+        all_inputs = []
+        for node in graph_model.nodes:
+            if node.input_default:
+                all_inputs.extend(str(v) for v in node.input_default.values() if v)
+            if (masks := graph_exec.nodes_input_masks) and (mask := masks.get(node.id)):
+                all_inputs.extend(str(v) for v in mask.values() if v)
+
+        if not all_inputs:
+            return None
+
+        # Combine all content and moderate directly
+        content = " ".join(all_inputs)
+
+        # Run moderation
+        logger.warning(
+            f"Moderating inputs for graph execution {graph_exec.graph_exec_id}"
+        )
+        try:
+            moderation_passed, content_id = await self._moderate_content(
+                content,
+                {
+                    "user_id": graph_exec.user_id,
+                    "graph_id": graph_exec.graph_id,
+                    "graph_exec_id": graph_exec.graph_exec_id,
+                    "moderation_type": "execution_input",
+                },
+            )
+
+            if not moderation_passed:
+                logger.warning(
+                    f"Moderation failed for graph execution {graph_exec.graph_exec_id}"
+                )
+                # Update node statuses for frontend display before raising error
+                await self._update_failed_nodes_for_moderation(
+                    db_client, graph_exec.graph_exec_id, "input", content_id
+                )
+
+                return ModerationError(
+                    message="Execution failed due to input content moderation",
+                    user_id=graph_exec.user_id,
+                    graph_exec_id=graph_exec.graph_exec_id,
+                    moderation_type="input",
+                    content_id=content_id,
+                )
+
+            return None
+
+        except asyncio.TimeoutError:
+            logger.warning(
+                f"Input moderation timed out for graph execution {graph_exec.graph_exec_id}, bypassing moderation"
+            )
+            return None  # Bypass moderation on timeout
+        except Exception as e:
+            logger.warning(f"Input moderation execution failed: {e}")
+            return ModerationError(
+                message="Execution failed due to input content moderation error",
+                user_id=graph_exec.user_id,
+                graph_exec_id=graph_exec.graph_exec_id,
+                moderation_type="input",
+            )
+
+    async def moderate_graph_execution_outputs(
+        self,
+        db_client: "DatabaseManagerAsyncClient",
+        graph_exec_id: str,
+        user_id: str,
+        graph_id: str,
+        timeout: int = 10,
+    ) -> Exception | None:
+        """
+        Complete output moderation flow for graph execution
+        Returns: error_if_failed (None means success)
+        """
+        if not self.config.enabled:
+            return None
+
+        # Check if AutoMod feature is enabled for this user
+        if not await is_feature_enabled(Flag.AUTOMOD, user_id):
+            logger.debug(f"AutoMod feature not enabled for user {user_id}")
+            return None
+
+        # Get completed executions and collect outputs
+        completed_executions = await db_client.get_node_executions(
+            graph_exec_id, statuses=[ExecutionStatus.COMPLETED], include_exec_data=True
+        )
+
+        if not completed_executions:
+            return None
+
+        all_outputs = []
+        for exec_entry in completed_executions:
+            if exec_entry.output_data:
+                all_outputs.extend(str(v) for v in exec_entry.output_data.values() if v)
+
+        if not all_outputs:
+            return None
+
+        # Combine all content and moderate directly
+        content = " ".join(all_outputs)
+
+        # Run moderation
+        logger.warning(f"Moderating outputs for graph execution {graph_exec_id}")
+        try:
+            moderation_passed, content_id = await self._moderate_content(
+                content,
+                {
+                    "user_id": user_id,
+                    "graph_id": graph_id,
+                    "graph_exec_id": graph_exec_id,
+                    "moderation_type": "execution_output",
+                },
+            )
+
+            if not moderation_passed:
+                logger.warning(f"Moderation failed for graph execution {graph_exec_id}")
+                # Update node statuses for frontend display before raising error
+                await self._update_failed_nodes_for_moderation(
+                    db_client, graph_exec_id, "output", content_id
+                )
+
+                return ModerationError(
+                    message="Execution failed due to output content moderation",
+                    user_id=user_id,
+                    graph_exec_id=graph_exec_id,
+                    moderation_type="output",
+                    content_id=content_id,
+                )
+
+            return None
+
+        except asyncio.TimeoutError:
+            logger.warning(
+                f"Output moderation timed out for graph execution {graph_exec_id}, bypassing moderation"
+            )
+            return None  # Bypass moderation on timeout
+        except Exception as e:
+            logger.warning(f"Output moderation execution failed: {e}")
+            return ModerationError(
+                message="Execution failed due to output content moderation error",
+                user_id=user_id,
+                graph_exec_id=graph_exec_id,
+                moderation_type="output",
+            )
+
+    async def _update_failed_nodes_for_moderation(
+        self,
+        db_client: "DatabaseManagerAsyncClient",
+        graph_exec_id: str,
+        moderation_type: Literal["input", "output"],
+        content_id: str | None = None,
+    ):
+        """Update node execution statuses for frontend display when moderation fails"""
+        # Import here to avoid circular imports
+        from backend.executor.manager import send_async_execution_update
+
+        if moderation_type == "input":
+            # For input moderation, mark queued/running/incomplete nodes as failed
+            target_statuses = [
+                ExecutionStatus.QUEUED,
+                ExecutionStatus.RUNNING,
+                ExecutionStatus.INCOMPLETE,
+            ]
+        else:
+            # For output moderation, mark completed nodes as failed
+            target_statuses = [ExecutionStatus.COMPLETED]
+
+        # Get the executions that need to be updated
+        executions_to_update = await db_client.get_node_executions(
+            graph_exec_id, statuses=target_statuses, include_exec_data=True
+        )
+
+        if not executions_to_update:
+            return
+
+        # Create error message with content_id if available
+        error_message = "Failed due to content moderation"
+        if content_id:
+            error_message += f" (Moderation ID: {content_id})"
+
+        # Prepare database update tasks
+        exec_updates = []
+        for exec_entry in executions_to_update:
+            # Collect all input and output names to clear
+            cleared_inputs = {}
+            cleared_outputs = {}
+
+            if exec_entry.input_data:
+                for name in exec_entry.input_data.keys():
+                    cleared_inputs[name] = [error_message]
+
+            if exec_entry.output_data:
+                for name in exec_entry.output_data.keys():
+                    cleared_outputs[name] = [error_message]
+
+            # Add update task to list
+            exec_updates.append(
+                db_client.update_node_execution_status(
+                    exec_entry.node_exec_id,
+                    status=ExecutionStatus.FAILED,
+                    stats={
+                        "error": error_message,
+                        "cleared_inputs": cleared_inputs,
+                        "cleared_outputs": cleared_outputs,
+                    },
+                )
+            )
+
+        # Execute all database updates in parallel
+        updated_execs = await asyncio.gather(*exec_updates)
+
+        # Send all websocket updates in parallel
+        await asyncio.gather(
+            *[
+                send_async_execution_update(updated_exec)
+                for updated_exec in updated_execs
+            ]
+        )
+
+    async def _moderate_content(
+        self, content: str, metadata: dict[str, Any]
+    ) -> tuple[bool, str | None]:
+        """Moderate content using AutoMod API
+
+        Returns:
+            Tuple of (approval_status, content_id)
+            - approval_status: True if approved or timeout occurred, False if rejected
+            - content_id: Reference ID from moderation API, or None if not available
+
+        Raises:
+            asyncio.TimeoutError: When moderation times out (should be bypassed)
+        """
+        try:
+            request_data = AutoModRequest(
+                type="text",
+                content=content,
+                metadata=metadata,
+            )
+
+            response = await self._make_request(request_data)
+
+            if response.success and response.status == "approved":
+                logger.debug(
+                    f"Content approved for {metadata.get('graph_exec_id', 'unknown')}"
+                )
+                return True, response.content_id
+            else:
+                reasons = [r.reason for r in response.moderation_results if r.reason]
+                error_msg = f"Content rejected by AutoMod: {'; '.join(reasons)}"
+                logger.warning(f"Content rejected: {error_msg}")
+                return False, response.content_id
+
+        except asyncio.TimeoutError:
+            # Re-raise timeout to be handled by calling methods
+            logger.warning(
+                f"AutoMod API timeout for {metadata.get('graph_exec_id', 'unknown')}"
+            )
+            raise
+        except Exception as e:
+            logger.error(f"AutoMod moderation error: {e}")
+            return self.config.fail_open, None
+
+    async def _make_request(self, request_data: AutoModRequest) -> AutoModResponse:
+        """Make HTTP request to AutoMod API using the standard request utility"""
+        url = f"{self.config.api_url}/moderate"
+        headers = {
+            "Content-Type": "application/json",
+            "X-API-Key": self.config.api_key.strip(),
+        }
+
+        # Create requests instance with timeout and retry configuration
+        requests = Requests(
+            extra_headers=headers,
+            retry_max_wait=float(self.config.timeout),
+        )
+
+        try:
+            response = await requests.post(
+                url, json=request_data.model_dump(), timeout=self.config.timeout
+            )
+
+            response_data = response.json()
+            return AutoModResponse.model_validate(response_data)
+
+        except asyncio.TimeoutError:
+            # Re-raise timeout error to be caught by _moderate_content
+            raise
+        except (json.JSONDecodeError, ValidationError) as e:
+            raise Exception(f"Invalid response from AutoMod API: {e}")
+        except Exception as e:
+            # Check if this is an aiohttp timeout that we should convert
+            if "timeout" in str(e).lower():
+                raise asyncio.TimeoutError(f"AutoMod API request timed out: {e}")
+            raise Exception(f"AutoMod API request failed: {e}")
+
+
+# Global instance
+automod_manager = AutoModManager()
diff --git a/autogpt_platform/backend/backend/server/v2/AutoMod/models.py b/autogpt_platform/backend/backend/server/v2/AutoMod/models.py
new file mode 100644
index 000000000000..23bd9fe87f6e
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/AutoMod/models.py
@@ -0,0 +1,60 @@
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class AutoModRequest(BaseModel):
+    """Request model for AutoMod API"""
+
+    type: str = Field(..., description="Content type - 'text', 'image', 'video'")
+    content: str = Field(..., description="The content to moderate")
+    metadata: Optional[Dict[str, Any]] = Field(
+        default=None, description="Additional context about the content"
+    )
+
+
+class ModerationResult(BaseModel):
+    """Individual moderation result"""
+
+    decision: str = Field(
+        ..., description="Moderation decision: 'approved', 'rejected', 'flagged'"
+    )
+    reason: Optional[str] = Field(default=None, description="Reason for the decision")
+
+
+class AutoModResponse(BaseModel):
+    """Response model for AutoMod API"""
+
+    success: bool = Field(..., description="Whether the request was successful")
+    content_id: str = Field(
+        ..., description="Unique reference ID for this moderation request"
+    )
+    status: str = Field(
+        ..., description="Overall status: 'approved', 'rejected', 'flagged', 'pending'"
+    )
+    moderation_results: List[ModerationResult] = Field(
+        default_factory=list, description="List of moderation results"
+    )
+
+
+class ModerationConfig(BaseModel):
+    """Configuration for AutoMod integration"""
+
+    enabled: bool = Field(default=True, description="Whether moderation is enabled")
+    api_url: str = Field(default="", description="AutoMod API base URL")
+    api_key: str = Field(..., description="AutoMod API key")
+    timeout: int = Field(default=30, description="Request timeout in seconds")
+    retry_attempts: int = Field(default=3, description="Number of retry attempts")
+    retry_delay: float = Field(
+        default=1.0, description="Delay between retries in seconds"
+    )
+    fail_open: bool = Field(
+        default=False,
+        description="If True, allow execution to continue if moderation fails",
+    )
+    moderate_inputs: bool = Field(
+        default=True, description="Whether to moderate block inputs"
+    )
+    moderate_outputs: bool = Field(
+        default=True, description="Whether to moderate block outputs"
+    )
diff --git a/autogpt_platform/backend/backend/server/v2/admin/credit_admin_routes.py b/autogpt_platform/backend/backend/server/v2/admin/credit_admin_routes.py
new file mode 100644
index 000000000000..36e05f12984a
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/admin/credit_admin_routes.py
@@ -0,0 +1,80 @@
+import logging
+import typing
+
+from autogpt_libs.auth import requires_admin_user
+from autogpt_libs.auth.depends import get_user_id
+from fastapi import APIRouter, Body, Depends
+from prisma.enums import CreditTransactionType
+
+from backend.data.credit import admin_get_user_history, get_user_credit_model
+from backend.server.v2.admin.model import AddUserCreditsResponse, UserHistoryResponse
+from backend.util.json import SafeJson
+
+logger = logging.getLogger(__name__)
+
+_user_credit_model = get_user_credit_model()
+
+
+router = APIRouter(
+    prefix="/admin",
+    tags=["credits", "admin"],
+    dependencies=[Depends(requires_admin_user)],
+)
+
+
+@router.post(
+    "/add_credits", response_model=AddUserCreditsResponse, summary="Add Credits to User"
+)
+async def add_user_credits(
+    user_id: typing.Annotated[str, Body()],
+    amount: typing.Annotated[int, Body()],
+    comments: typing.Annotated[str, Body()],
+    admin_user: typing.Annotated[
+        str,
+        Depends(get_user_id),
+    ],
+):
+    """ """
+    logger.info(f"Admin user {admin_user} is adding {amount} credits to user {user_id}")
+    new_balance, transaction_key = await _user_credit_model._add_transaction(
+        user_id,
+        amount,
+        transaction_type=CreditTransactionType.GRANT,
+        metadata=SafeJson({"admin_id": admin_user, "reason": comments}),
+    )
+    return {
+        "new_balance": new_balance,
+        "transaction_key": transaction_key,
+    }
+
+
+@router.get(
+    "/users_history",
+    response_model=UserHistoryResponse,
+    summary="Get All Users History",
+)
+async def admin_get_all_user_history(
+    admin_user: typing.Annotated[
+        str,
+        Depends(get_user_id),
+    ],
+    search: typing.Optional[str] = None,
+    page: int = 1,
+    page_size: int = 20,
+    transaction_filter: typing.Optional[CreditTransactionType] = None,
+):
+    """ """
+    logger.info(f"Admin user {admin_user} is getting grant history")
+
+    try:
+        resp = await admin_get_user_history(
+            page=page,
+            page_size=page_size,
+            search=search,
+            transaction_filter=transaction_filter,
+        )
+        logger.info(f"Admin user {admin_user} got {len(resp.history)} grant history")
+        return resp
+    except Exception as e:
+        logger.exception(f"Error getting grant history: {e}")
+        raise e
diff --git a/autogpt_platform/backend/backend/server/v2/admin/credit_admin_routes_test.py b/autogpt_platform/backend/backend/server/v2/admin/credit_admin_routes_test.py
new file mode 100644
index 000000000000..e970d9069c45
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/admin/credit_admin_routes_test.py
@@ -0,0 +1,331 @@
+import json
+from unittest.mock import AsyncMock
+
+import autogpt_libs.auth
+import autogpt_libs.auth.depends
+import fastapi
+import fastapi.testclient
+import prisma.enums
+import pytest_mock
+from prisma import Json
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.v2.admin.credit_admin_routes as credit_admin_routes
+import backend.server.v2.admin.model as admin_model
+from backend.data.model import UserTransaction
+from backend.server.conftest import ADMIN_USER_ID, TARGET_USER_ID
+from backend.util.models import Pagination
+
+app = fastapi.FastAPI()
+app.include_router(credit_admin_routes.router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def override_requires_admin_user() -> dict[str, str]:
+    """Override admin user check for testing"""
+    return {"sub": ADMIN_USER_ID, "role": "admin"}
+
+
+def override_get_user_id() -> str:
+    """Override get_user_id for testing"""
+    return ADMIN_USER_ID
+
+
+app.dependency_overrides[autogpt_libs.auth.requires_admin_user] = (
+    override_requires_admin_user
+)
+app.dependency_overrides[autogpt_libs.auth.depends.get_user_id] = override_get_user_id
+
+
+def test_add_user_credits_success(
+    mocker: pytest_mock.MockFixture,
+    configured_snapshot: Snapshot,
+) -> None:
+    """Test successful credit addition by admin"""
+    # Mock the credit model
+    mock_credit_model = mocker.patch(
+        "backend.server.v2.admin.credit_admin_routes._user_credit_model"
+    )
+    mock_credit_model._add_transaction = AsyncMock(
+        return_value=(1500, "transaction-123-uuid")
+    )
+
+    request_data = {
+        "user_id": TARGET_USER_ID,
+        "amount": 500,
+        "comments": "Test credit grant for debugging",
+    }
+
+    response = client.post("/admin/add_credits", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["new_balance"] == 1500
+    assert response_data["transaction_key"] == "transaction-123-uuid"
+
+    # Verify the function was called with correct parameters
+    mock_credit_model._add_transaction.assert_called_once()
+    call_args = mock_credit_model._add_transaction.call_args
+    assert call_args[0] == (TARGET_USER_ID, 500)
+    assert call_args[1]["transaction_type"] == prisma.enums.CreditTransactionType.GRANT
+    # Check that metadata is a Json object with the expected content
+    assert isinstance(call_args[1]["metadata"], Json)
+    assert call_args[1]["metadata"] == Json(
+        {"admin_id": ADMIN_USER_ID, "reason": "Test credit grant for debugging"}
+    )
+
+    # Snapshot test the response
+    configured_snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "admin_add_credits_success",
+    )
+
+
+def test_add_user_credits_negative_amount(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test credit deduction by admin (negative amount)"""
+    # Mock the credit model
+    mock_credit_model = mocker.patch(
+        "backend.server.v2.admin.credit_admin_routes._user_credit_model"
+    )
+    mock_credit_model._add_transaction = AsyncMock(
+        return_value=(200, "transaction-456-uuid")
+    )
+
+    request_data = {
+        "user_id": "target-user-id",
+        "amount": -100,
+        "comments": "Refund adjustment",
+    }
+
+    response = client.post("/admin/add_credits", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["new_balance"] == 200
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "adm_add_cred_neg",
+    )
+
+
+def test_get_user_history_success(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test successful retrieval of user credit history"""
+    # Mock the admin_get_user_history function
+    mock_history_response = admin_model.UserHistoryResponse(
+        history=[
+            UserTransaction(
+                user_id="user-1",
+                user_email="user1@example.com",
+                amount=1000,
+                reason="Initial grant",
+                transaction_type=prisma.enums.CreditTransactionType.GRANT,
+            ),
+            UserTransaction(
+                user_id="user-2",
+                user_email="user2@example.com",
+                amount=-50,
+                reason="Usage",
+                transaction_type=prisma.enums.CreditTransactionType.USAGE,
+            ),
+        ],
+        pagination=Pagination(
+            total_items=2,
+            total_pages=1,
+            current_page=1,
+            page_size=20,
+        ),
+    )
+
+    mocker.patch(
+        "backend.server.v2.admin.credit_admin_routes.admin_get_user_history",
+        return_value=mock_history_response,
+    )
+
+    response = client.get("/admin/users_history")
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert len(response_data["history"]) == 2
+    assert response_data["pagination"]["total_items"] == 2
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "adm_usr_hist_ok",
+    )
+
+
+def test_get_user_history_with_filters(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test user credit history with search and filter parameters"""
+    # Mock the admin_get_user_history function
+    mock_history_response = admin_model.UserHistoryResponse(
+        history=[
+            UserTransaction(
+                user_id="user-3",
+                user_email="test@example.com",
+                amount=500,
+                reason="Top up",
+                transaction_type=prisma.enums.CreditTransactionType.TOP_UP,
+            ),
+        ],
+        pagination=Pagination(
+            total_items=1,
+            total_pages=1,
+            current_page=1,
+            page_size=10,
+        ),
+    )
+
+    mock_get_history = mocker.patch(
+        "backend.server.v2.admin.credit_admin_routes.admin_get_user_history",
+        return_value=mock_history_response,
+    )
+
+    response = client.get(
+        "/admin/users_history",
+        params={
+            "search": "test@example.com",
+            "page": 1,
+            "page_size": 10,
+            "transaction_filter": "TOP_UP",
+        },
+    )
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert len(response_data["history"]) == 1
+    assert response_data["history"][0]["transaction_type"] == "TOP_UP"
+
+    # Verify the function was called with correct parameters
+    mock_get_history.assert_called_once_with(
+        page=1,
+        page_size=10,
+        search="test@example.com",
+        transaction_filter=prisma.enums.CreditTransactionType.TOP_UP,
+    )
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "adm_usr_hist_filt",
+    )
+
+
+def test_get_user_history_empty_results(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test user credit history with no results"""
+    # Mock empty history response
+    mock_history_response = admin_model.UserHistoryResponse(
+        history=[],
+        pagination=Pagination(
+            total_items=0,
+            total_pages=0,
+            current_page=1,
+            page_size=20,
+        ),
+    )
+
+    mocker.patch(
+        "backend.server.v2.admin.credit_admin_routes.admin_get_user_history",
+        return_value=mock_history_response,
+    )
+
+    response = client.get("/admin/users_history", params={"search": "nonexistent"})
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert len(response_data["history"]) == 0
+    assert response_data["pagination"]["total_items"] == 0
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "adm_usr_hist_empty",
+    )
+
+
+def test_add_credits_invalid_request() -> None:
+    """Test credit addition with invalid request data"""
+    # Missing required fields
+    response = client.post("/admin/add_credits", json={})
+    assert response.status_code == 422
+
+    # Invalid amount type
+    response = client.post(
+        "/admin/add_credits",
+        json={
+            "user_id": "test",
+            "amount": "not_a_number",
+            "comments": "test",
+        },
+    )
+    assert response.status_code == 422
+
+    # Missing comments
+    response = client.post(
+        "/admin/add_credits",
+        json={
+            "user_id": "test",
+            "amount": 100,
+        },
+    )
+    assert response.status_code == 422
+
+
+def test_admin_endpoints_require_admin_role(mocker: pytest_mock.MockFixture) -> None:
+    """Test that admin endpoints require admin role"""
+    # Clear the admin override to test authorization
+    app.dependency_overrides.clear()
+
+    # Mock requires_admin_user to raise an exception
+    mocker.patch(
+        "autogpt_libs.auth.requires_admin_user",
+        side_effect=fastapi.HTTPException(
+            status_code=403, detail="Admin access required"
+        ),
+    )
+
+    # Test add_credits endpoint
+    response = client.post(
+        "/admin/add_credits",
+        json={
+            "user_id": "test",
+            "amount": 100,
+            "comments": "test",
+        },
+    )
+    assert (
+        response.status_code == 401
+    )  # Auth middleware returns 401 when auth is disabled
+
+    # Test users_history endpoint
+    response = client.get("/admin/users_history")
+    assert (
+        response.status_code == 401
+    )  # Auth middleware returns 401 when auth is disabled
+
+    # Restore the override
+    app.dependency_overrides[autogpt_libs.auth.requires_admin_user] = (
+        override_requires_admin_user
+    )
+    app.dependency_overrides[autogpt_libs.auth.depends.get_user_id] = (
+        override_get_user_id
+    )
diff --git a/autogpt_platform/backend/backend/server/v2/admin/model.py b/autogpt_platform/backend/backend/server/v2/admin/model.py
new file mode 100644
index 000000000000..82f51e8e7ac8
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/admin/model.py
@@ -0,0 +1,16 @@
+from pydantic import BaseModel
+
+from backend.data.model import UserTransaction
+from backend.util.models import Pagination
+
+
+class UserHistoryResponse(BaseModel):
+    """Response model for listings with version history"""
+
+    history: list[UserTransaction]
+    pagination: Pagination
+
+
+class AddUserCreditsResponse(BaseModel):
+    new_balance: int
+    transaction_key: str
diff --git a/autogpt_platform/backend/backend/server/v2/admin/store_admin_routes.py b/autogpt_platform/backend/backend/server/v2/admin/store_admin_routes.py
new file mode 100644
index 000000000000..f37f83294805
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/admin/store_admin_routes.py
@@ -0,0 +1,149 @@
+import logging
+import tempfile
+import typing
+
+import autogpt_libs.auth.depends
+import fastapi
+import fastapi.responses
+import prisma.enums
+
+import backend.server.v2.store.db
+import backend.server.v2.store.exceptions
+import backend.server.v2.store.model
+import backend.util.json
+
+logger = logging.getLogger(__name__)
+
+router = fastapi.APIRouter(prefix="/admin", tags=["store", "admin"])
+
+
+@router.get(
+    "/listings",
+    summary="Get Admin Listings History",
+    response_model=backend.server.v2.store.model.StoreListingsWithVersionsResponse,
+    dependencies=[fastapi.Depends(autogpt_libs.auth.depends.requires_admin_user)],
+)
+async def get_admin_listings_with_versions(
+    status: typing.Optional[prisma.enums.SubmissionStatus] = None,
+    search: typing.Optional[str] = None,
+    page: int = 1,
+    page_size: int = 20,
+):
+    """
+    Get store listings with their version history for admins.
+
+    This provides a consolidated view of listings with their versions,
+    allowing for an expandable UI in the admin dashboard.
+
+    Args:
+        status: Filter by submission status (PENDING, APPROVED, REJECTED)
+        search: Search by name, description, or user email
+        page: Page number for pagination
+        page_size: Number of items per page
+
+    Returns:
+        StoreListingsWithVersionsResponse with listings and their versions
+    """
+    try:
+        listings = await backend.server.v2.store.db.get_admin_listings_with_versions(
+            status=status,
+            search_query=search,
+            page=page,
+            page_size=page_size,
+        )
+        return listings
+    except Exception as e:
+        logger.exception("Error getting admin listings with versions: %s", e)
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "An error occurred while retrieving listings with versions"
+            },
+        )
+
+
+@router.post(
+    "/submissions/{store_listing_version_id}/review",
+    summary="Review Store Submission",
+    response_model=backend.server.v2.store.model.StoreSubmission,
+    dependencies=[fastapi.Depends(autogpt_libs.auth.depends.requires_admin_user)],
+)
+async def review_submission(
+    store_listing_version_id: str,
+    request: backend.server.v2.store.model.ReviewSubmissionRequest,
+    user: typing.Annotated[
+        autogpt_libs.auth.models.User,
+        fastapi.Depends(autogpt_libs.auth.depends.requires_admin_user),
+    ],
+):
+    """
+    Review a store listing submission.
+
+    Args:
+        store_listing_version_id: ID of the submission to review
+        request: Review details including approval status and comments
+        user: Authenticated admin user performing the review
+
+    Returns:
+        StoreSubmission with updated review information
+    """
+    try:
+        submission = await backend.server.v2.store.db.review_store_submission(
+            store_listing_version_id=store_listing_version_id,
+            is_approved=request.is_approved,
+            external_comments=request.comments,
+            internal_comments=request.internal_comments or "",
+            reviewer_id=user.user_id,
+        )
+        return submission
+    except Exception as e:
+        logger.exception("Error reviewing submission: %s", e)
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while reviewing the submission"},
+        )
+
+
+@router.get(
+    "/submissions/download/{store_listing_version_id}",
+    summary="Admin Download Agent File",
+    tags=["store", "admin"],
+    dependencies=[fastapi.Depends(autogpt_libs.auth.depends.requires_admin_user)],
+)
+async def admin_download_agent_file(
+    user: typing.Annotated[
+        autogpt_libs.auth.models.User,
+        fastapi.Depends(autogpt_libs.auth.depends.requires_admin_user),
+    ],
+    store_listing_version_id: str = fastapi.Path(
+        ..., description="The ID of the agent to download"
+    ),
+) -> fastapi.responses.FileResponse:
+    """
+    Download the agent file by streaming its content.
+
+    Args:
+        store_listing_version_id (str): The ID of the agent to download
+
+    Returns:
+        StreamingResponse: A streaming response containing the agent's graph data.
+
+    Raises:
+        HTTPException: If the agent is not found or an unexpected error occurs.
+    """
+    graph_data = await backend.server.v2.store.db.get_agent_as_admin(
+        user_id=user.user_id,
+        store_listing_version_id=store_listing_version_id,
+    )
+    file_name = f"agent_{graph_data.id}_v{graph_data.version or 'latest'}.json"
+
+    # Sending graph as a stream (similar to marketplace v1)
+    with tempfile.NamedTemporaryFile(
+        mode="w", suffix=".json", delete=False
+    ) as tmp_file:
+        tmp_file.write(backend.util.json.dumps(graph_data))
+        tmp_file.flush()
+
+        return fastapi.responses.FileResponse(
+            tmp_file.name, filename=file_name, media_type="application/json"
+        )
diff --git a/autogpt_platform/backend/backend/server/v2/builder/db.py b/autogpt_platform/backend/backend/server/v2/builder/db.py
new file mode 100644
index 000000000000..3cef2655615c
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/builder/db.py
@@ -0,0 +1,376 @@
+import functools
+import logging
+from datetime import datetime, timedelta, timezone
+
+import prisma
+
+import backend.data.block
+from backend.blocks import load_all_blocks
+from backend.blocks.llm import LlmModel
+from backend.data.block import Block, BlockCategory, BlockSchema
+from backend.data.credit import get_block_costs
+from backend.integrations.providers import ProviderName
+from backend.server.v2.builder.model import (
+    BlockCategoryResponse,
+    BlockData,
+    BlockResponse,
+    BlockType,
+    CountResponse,
+    Provider,
+    ProviderResponse,
+    SearchBlocksResponse,
+)
+from backend.util.models import Pagination
+
+logger = logging.getLogger(__name__)
+llm_models = [name.name.lower().replace("_", " ") for name in LlmModel]
+_static_counts_cache: dict | None = None
+_suggested_blocks: list[BlockData] | None = None
+
+
+def get_block_categories(category_blocks: int = 3) -> list[BlockCategoryResponse]:
+    categories: dict[BlockCategory, BlockCategoryResponse] = {}
+
+    for block_type in load_all_blocks().values():
+        block: Block[BlockSchema, BlockSchema] = block_type()
+        # Skip disabled blocks
+        if block.disabled:
+            continue
+        # Skip blocks that don't have categories (all should have at least one)
+        if not block.categories:
+            continue
+
+        # Add block to the categories
+        for category in block.categories:
+            if category not in categories:
+                categories[category] = BlockCategoryResponse(
+                    name=category.name.lower(),
+                    total_blocks=0,
+                    blocks=[],
+                )
+
+            categories[category].total_blocks += 1
+
+            # Append if the category has less than the specified number of blocks
+            if len(categories[category].blocks) < category_blocks:
+                categories[category].blocks.append(block.to_dict())
+
+    # Sort categories by name
+    return sorted(categories.values(), key=lambda x: x.name)
+
+
+def get_blocks(
+    *,
+    category: str | None = None,
+    type: BlockType | None = None,
+    provider: ProviderName | None = None,
+    page: int = 1,
+    page_size: int = 50,
+) -> BlockResponse:
+    """
+    Get blocks based on either category, type or provider.
+    Providing nothing fetches all block types.
+    """
+    # Only one of category, type, or provider can be specified
+    if (category and type) or (category and provider) or (type and provider):
+        raise ValueError("Only one of category, type, or provider can be specified")
+
+    blocks: list[Block[BlockSchema, BlockSchema]] = []
+    skip = (page - 1) * page_size
+    take = page_size
+    total = 0
+
+    for block_type in load_all_blocks().values():
+        block: Block[BlockSchema, BlockSchema] = block_type()
+        # Skip disabled blocks
+        if block.disabled:
+            continue
+        # Skip blocks that don't match the category
+        if category and category not in {c.name.lower() for c in block.categories}:
+            continue
+        # Skip blocks that don't match the type
+        if (
+            (type == "input" and block.block_type.value != "Input")
+            or (type == "output" and block.block_type.value != "Output")
+            or (type == "action" and block.block_type.value in ("Input", "Output"))
+        ):
+            continue
+        # Skip blocks that don't match the provider
+        if provider:
+            credentials_info = block.input_schema.get_credentials_fields_info().values()
+            if not any(provider in info.provider for info in credentials_info):
+                continue
+
+        total += 1
+        if skip > 0:
+            skip -= 1
+            continue
+        if take > 0:
+            take -= 1
+            blocks.append(block)
+
+    costs = get_block_costs()
+
+    return BlockResponse(
+        blocks=[{**b.to_dict(), "costs": costs.get(b.id, [])} for b in blocks],
+        pagination=Pagination(
+            total_items=total,
+            total_pages=(total + page_size - 1) // page_size,
+            current_page=page,
+            page_size=page_size,
+        ),
+    )
+
+
+def search_blocks(
+    include_blocks: bool = True,
+    include_integrations: bool = True,
+    query: str = "",
+    page: int = 1,
+    page_size: int = 50,
+) -> SearchBlocksResponse:
+    """
+    Get blocks based on the filter and query.
+    `providers` only applies for `integrations` filter.
+    """
+    blocks: list[Block[BlockSchema, BlockSchema]] = []
+    query = query.lower()
+
+    total = 0
+    skip = (page - 1) * page_size
+    take = page_size
+    block_count = 0
+    integration_count = 0
+
+    for block_type in load_all_blocks().values():
+        block: Block[BlockSchema, BlockSchema] = block_type()
+        # Skip disabled blocks
+        if block.disabled:
+            continue
+        # Skip blocks that don't match the query
+        if (
+            query not in block.name.lower()
+            and query not in block.description.lower()
+            and not _matches_llm_model(block.input_schema, query)
+        ):
+            continue
+        keep = False
+        credentials = list(block.input_schema.get_credentials_fields().values())
+        if include_integrations and len(credentials) > 0:
+            keep = True
+            integration_count += 1
+        if include_blocks and len(credentials) == 0:
+            keep = True
+            block_count += 1
+
+        if not keep:
+            continue
+
+        total += 1
+        if skip > 0:
+            skip -= 1
+            continue
+        if take > 0:
+            take -= 1
+            blocks.append(block)
+
+    costs = get_block_costs()
+
+    return SearchBlocksResponse(
+        blocks=BlockResponse(
+            blocks=[{**b.to_dict(), "costs": costs.get(b.id, [])} for b in blocks],
+            pagination=Pagination(
+                total_items=total,
+                total_pages=(total + page_size - 1) // page_size,
+                current_page=page,
+                page_size=page_size,
+            ),
+        ),
+        total_block_count=block_count,
+        total_integration_count=integration_count,
+    )
+
+
+def get_providers(
+    query: str = "",
+    page: int = 1,
+    page_size: int = 50,
+) -> ProviderResponse:
+    providers = []
+    query = query.lower()
+
+    skip = (page - 1) * page_size
+    take = page_size
+
+    all_providers = _get_all_providers()
+
+    for provider in all_providers.values():
+        if (
+            query not in provider.name.value.lower()
+            and query not in provider.description.lower()
+        ):
+            continue
+        if skip > 0:
+            skip -= 1
+            continue
+        if take > 0:
+            take -= 1
+            providers.append(provider)
+
+    total = len(all_providers)
+
+    return ProviderResponse(
+        providers=providers,
+        pagination=Pagination(
+            total_items=total,
+            total_pages=(total + page_size - 1) // page_size,
+            current_page=page,
+            page_size=page_size,
+        ),
+    )
+
+
+async def get_counts(user_id: str) -> CountResponse:
+    my_agents = await prisma.models.LibraryAgent.prisma().count(
+        where={
+            "userId": user_id,
+            "isDeleted": False,
+            "isArchived": False,
+        }
+    )
+    counts = await _get_static_counts()
+    return CountResponse(
+        my_agents=my_agents,
+        **counts,
+    )
+
+
+async def _get_static_counts():
+    """
+    Get counts of blocks, integrations, and marketplace agents.
+    This is cached to avoid unnecessary database queries and calculations.
+    Can't use functools.cache here because the function is async.
+    """
+    global _static_counts_cache
+    if _static_counts_cache is not None:
+        return _static_counts_cache
+
+    all_blocks = 0
+    input_blocks = 0
+    action_blocks = 0
+    output_blocks = 0
+    integrations = 0
+
+    for block_type in load_all_blocks().values():
+        block: Block[BlockSchema, BlockSchema] = block_type()
+        if block.disabled:
+            continue
+
+        all_blocks += 1
+
+        if block.block_type.value == "Input":
+            input_blocks += 1
+        elif block.block_type.value == "Output":
+            output_blocks += 1
+        else:
+            action_blocks += 1
+
+        credentials = list(block.input_schema.get_credentials_fields().values())
+        if len(credentials) > 0:
+            integrations += 1
+
+    marketplace_agents = await prisma.models.StoreAgent.prisma().count()
+
+    _static_counts_cache = {
+        "all_blocks": all_blocks,
+        "input_blocks": input_blocks,
+        "action_blocks": action_blocks,
+        "output_blocks": output_blocks,
+        "integrations": integrations,
+        "marketplace_agents": marketplace_agents,
+    }
+
+    return _static_counts_cache
+
+
+def _matches_llm_model(schema_cls: type[BlockSchema], query: str) -> bool:
+    for field in schema_cls.model_fields.values():
+        if field.annotation == LlmModel:
+            # Check if query matches any value in llm_models
+            if any(query in name for name in llm_models):
+                return True
+    return False
+
+
+@functools.cache
+def _get_all_providers() -> dict[ProviderName, Provider]:
+    providers: dict[ProviderName, Provider] = {}
+
+    for block_type in load_all_blocks().values():
+        block: Block[BlockSchema, BlockSchema] = block_type()
+        if block.disabled:
+            continue
+
+        credentials_info = block.input_schema.get_credentials_fields_info().values()
+        for info in credentials_info:
+            for provider in info.provider:  # provider is a ProviderName enum member
+                if provider in providers:
+                    providers[provider].integration_count += 1
+                else:
+                    providers[provider] = Provider(
+                        name=provider, description="", integration_count=1
+                    )
+    return providers
+
+
+async def get_suggested_blocks(count: int = 5) -> list[BlockData]:
+    global _suggested_blocks
+
+    if _suggested_blocks is not None and len(_suggested_blocks) >= count:
+        return _suggested_blocks[:count]
+
+    _suggested_blocks = []
+    # Sum the number of executions for each block type
+    # Prisma cannot group by nested relations, so we do a raw query
+    # Calculate the cutoff timestamp
+    timestamp_threshold = datetime.now(timezone.utc) - timedelta(days=30)
+
+    results = await prisma.get_client().query_raw(
+        """
+        SELECT
+            agent_node."agentBlockId" AS block_id,
+            COUNT(execution.id) AS execution_count
+        FROM "AgentNodeExecution" execution
+        JOIN "AgentNode" agent_node ON execution."agentNodeId" = agent_node.id
+        WHERE execution."endedTime" >= $1::timestamp
+        GROUP BY agent_node."agentBlockId"
+        ORDER BY execution_count DESC;
+        """,
+        timestamp_threshold,
+    )
+
+    # Get the top blocks based on execution count
+    # But ignore Input and Output blocks
+    blocks: list[tuple[BlockData, int]] = []
+
+    for block_type in load_all_blocks().values():
+        block: Block[BlockSchema, BlockSchema] = block_type()
+        if block.disabled or block.block_type in (
+            backend.data.block.BlockType.INPUT,
+            backend.data.block.BlockType.OUTPUT,
+            backend.data.block.BlockType.AGENT,
+        ):
+            continue
+        # Find the execution count for this block
+        execution_count = next(
+            (row["execution_count"] for row in results if row["block_id"] == block.id),
+            0,
+        )
+        blocks.append((block.to_dict(), execution_count))
+    # Sort blocks by execution count
+    blocks.sort(key=lambda x: x[1], reverse=True)
+
+    _suggested_blocks = [block[0] for block in blocks]
+
+    # Return the top blocks
+    return _suggested_blocks[:count]
diff --git a/autogpt_platform/backend/backend/server/v2/builder/model.py b/autogpt_platform/backend/backend/server/v2/builder/model.py
new file mode 100644
index 000000000000..7b9fe58f0a22
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/builder/model.py
@@ -0,0 +1,87 @@
+from typing import Any, Literal
+
+from pydantic import BaseModel
+
+import backend.server.v2.library.model as library_model
+import backend.server.v2.store.model as store_model
+from backend.integrations.providers import ProviderName
+from backend.util.models import Pagination
+
+FilterType = Literal[
+    "blocks",
+    "integrations",
+    "marketplace_agents",
+    "my_agents",
+]
+
+BlockType = Literal["all", "input", "action", "output"]
+
+BlockData = dict[str, Any]
+
+
+# Suggestions
+class SuggestionsResponse(BaseModel):
+    otto_suggestions: list[str]
+    recent_searches: list[str]
+    providers: list[ProviderName]
+    top_blocks: list[BlockData]
+
+
+# All blocks
+class BlockCategoryResponse(BaseModel):
+    name: str
+    total_blocks: int
+    blocks: list[BlockData]
+
+    model_config = {"use_enum_values": False}  # <== use enum names like "AI"
+
+
+# Input/Action/Output and see all for block categories
+class BlockResponse(BaseModel):
+    blocks: list[BlockData]
+    pagination: Pagination
+
+
+# Providers
+class Provider(BaseModel):
+    name: ProviderName
+    description: str
+    integration_count: int
+
+
+class ProviderResponse(BaseModel):
+    providers: list[Provider]
+    pagination: Pagination
+
+
+# Search
+class SearchRequest(BaseModel):
+    search_query: str | None = None
+    filter: list[FilterType] | None = None
+    by_creator: list[str] | None = None
+    search_id: str | None = None
+    page: int | None = None
+    page_size: int | None = None
+
+
+class SearchBlocksResponse(BaseModel):
+    blocks: BlockResponse
+    total_block_count: int
+    total_integration_count: int
+
+
+class SearchResponse(BaseModel):
+    items: list[BlockData | library_model.LibraryAgent | store_model.StoreAgent]
+    total_items: dict[FilterType, int]
+    page: int
+    more_pages: bool
+
+
+class CountResponse(BaseModel):
+    all_blocks: int
+    input_blocks: int
+    action_blocks: int
+    output_blocks: int
+    integrations: int
+    marketplace_agents: int
+    my_agents: int
diff --git a/autogpt_platform/backend/backend/server/v2/builder/routes.py b/autogpt_platform/backend/backend/server/v2/builder/routes.py
new file mode 100644
index 000000000000..0e78af3d4b9f
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/builder/routes.py
@@ -0,0 +1,239 @@
+import logging
+from typing import Annotated, Sequence
+
+import fastapi
+from autogpt_libs.auth.depends import auth_middleware, get_user_id
+
+import backend.server.v2.builder.db as builder_db
+import backend.server.v2.builder.model as builder_model
+import backend.server.v2.library.db as library_db
+import backend.server.v2.library.model as library_model
+import backend.server.v2.store.db as store_db
+import backend.server.v2.store.model as store_model
+from backend.integrations.providers import ProviderName
+from backend.util.models import Pagination
+
+logger = logging.getLogger(__name__)
+
+router = fastapi.APIRouter()
+
+
+# Taken from backend/server/v2/store/db.py
+def sanitize_query(query: str | None) -> str | None:
+    if query is None:
+        return query
+    query = query.strip()[:100]
+    return (
+        query.replace("\\", "\\\\")
+        .replace("%", "\\%")
+        .replace("_", "\\_")
+        .replace("[", "\\[")
+        .replace("]", "\\]")
+        .replace("'", "\\'")
+        .replace('"', '\\"')
+        .replace(";", "\\;")
+        .replace("--", "\\--")
+        .replace("/*", "\\/*")
+        .replace("*/", "\\*/")
+    )
+
+
+@router.get(
+    "/suggestions",
+    summary="Get Builder suggestions",
+    dependencies=[fastapi.Depends(auth_middleware)],
+    response_model=builder_model.SuggestionsResponse,
+)
+async def get_suggestions(
+    user_id: Annotated[str, fastapi.Depends(get_user_id)],
+) -> builder_model.SuggestionsResponse:
+    """
+    Get all suggestions for the Blocks Menu.
+    """
+    return builder_model.SuggestionsResponse(
+        otto_suggestions=[
+            "What blocks do I need to get started?",
+            "Help me create a list",
+            "Help me feed my data to Google Maps",
+        ],
+        recent_searches=[
+            "image generation",
+            "deepfake",
+            "competitor analysis",
+        ],
+        providers=[
+            ProviderName.TWITTER,
+            ProviderName.GITHUB,
+            ProviderName.NOTION,
+            ProviderName.GOOGLE,
+            ProviderName.DISCORD,
+            ProviderName.GOOGLE_MAPS,
+        ],
+        top_blocks=await builder_db.get_suggested_blocks(),
+    )
+
+
+@router.get(
+    "/categories",
+    summary="Get Builder block categories",
+    dependencies=[fastapi.Depends(auth_middleware)],
+    response_model=Sequence[builder_model.BlockCategoryResponse],
+)
+async def get_block_categories(
+    blocks_per_category: Annotated[int, fastapi.Query()] = 3,
+) -> Sequence[builder_model.BlockCategoryResponse]:
+    """
+    Get all block categories with a specified number of blocks per category.
+    """
+    return builder_db.get_block_categories(blocks_per_category)
+
+
+@router.get(
+    "/blocks",
+    summary="Get Builder blocks",
+    dependencies=[fastapi.Depends(auth_middleware)],
+    response_model=builder_model.BlockResponse,
+)
+async def get_blocks(
+    category: Annotated[str | None, fastapi.Query()] = None,
+    type: Annotated[builder_model.BlockType | None, fastapi.Query()] = None,
+    provider: Annotated[ProviderName | None, fastapi.Query()] = None,
+    page: Annotated[int, fastapi.Query()] = 1,
+    page_size: Annotated[int, fastapi.Query()] = 50,
+) -> builder_model.BlockResponse:
+    """
+    Get blocks based on either category, type, or provider.
+    """
+    return builder_db.get_blocks(
+        category=category,
+        type=type,
+        provider=provider,
+        page=page,
+        page_size=page_size,
+    )
+
+
+@router.get(
+    "/providers",
+    summary="Get Builder integration providers",
+    dependencies=[fastapi.Depends(auth_middleware)],
+    response_model=builder_model.ProviderResponse,
+)
+async def get_providers(
+    page: Annotated[int, fastapi.Query()] = 1,
+    page_size: Annotated[int, fastapi.Query()] = 50,
+) -> builder_model.ProviderResponse:
+    """
+    Get all integration providers with their block counts.
+    """
+    return builder_db.get_providers(
+        page=page,
+        page_size=page_size,
+    )
+
+
+@router.post(
+    "/search",
+    summary="Builder search",
+    tags=["store", "private"],
+    dependencies=[fastapi.Depends(auth_middleware)],
+    response_model=builder_model.SearchResponse,
+)
+async def search(
+    options: builder_model.SearchRequest,
+    user_id: Annotated[str, fastapi.Depends(get_user_id)],
+) -> builder_model.SearchResponse:
+    """
+    Search for blocks (including integrations), marketplace agents, and user library agents.
+    """
+    # If no filters are provided, then we will return all types
+    if not options.filter:
+        options.filter = [
+            "blocks",
+            "integrations",
+            "marketplace_agents",
+            "my_agents",
+        ]
+    options.search_query = sanitize_query(options.search_query)
+    options.page = options.page or 1
+    options.page_size = options.page_size or 50
+
+    # Blocks&Integrations
+    blocks = builder_model.SearchBlocksResponse(
+        blocks=builder_model.BlockResponse(
+            blocks=[],
+            pagination=Pagination.empty(),
+        ),
+        total_block_count=0,
+        total_integration_count=0,
+    )
+    if "blocks" in options.filter or "integrations" in options.filter:
+        blocks = builder_db.search_blocks(
+            include_blocks="blocks" in options.filter,
+            include_integrations="integrations" in options.filter,
+            query=options.search_query or "",
+            page=options.page,
+            page_size=options.page_size,
+        )
+
+    # Library Agents
+    my_agents = library_model.LibraryAgentResponse(
+        agents=[],
+        pagination=Pagination.empty(),
+    )
+    if "my_agents" in options.filter:
+        my_agents = await library_db.list_library_agents(
+            user_id=user_id,
+            search_term=options.search_query,
+            page=options.page,
+            page_size=options.page_size,
+        )
+
+    # Marketplace Agents
+    marketplace_agents = store_model.StoreAgentsResponse(
+        agents=[],
+        pagination=Pagination.empty(),
+    )
+    if "marketplace_agents" in options.filter:
+        marketplace_agents = await store_db.get_store_agents(
+            creators=options.by_creator,
+            search_query=options.search_query,
+            page=options.page,
+            page_size=options.page_size,
+        )
+
+    more_pages = False
+    if (
+        blocks.blocks.pagination.current_page < blocks.blocks.pagination.total_pages
+        or my_agents.pagination.current_page < my_agents.pagination.total_pages
+        or marketplace_agents.pagination.current_page
+        < marketplace_agents.pagination.total_pages
+    ):
+        more_pages = True
+
+    return builder_model.SearchResponse(
+        items=blocks.blocks.blocks + my_agents.agents + marketplace_agents.agents,
+        total_items={
+            "blocks": blocks.total_block_count,
+            "integrations": blocks.total_integration_count,
+            "marketplace_agents": marketplace_agents.pagination.total_items,
+            "my_agents": my_agents.pagination.total_items,
+        },
+        page=options.page,
+        more_pages=more_pages,
+    )
+
+
+@router.get(
+    "/counts",
+    summary="Get Builder item counts",
+    dependencies=[fastapi.Depends(auth_middleware)],
+    response_model=builder_model.CountResponse,
+)
+async def get_counts(
+    user_id: Annotated[str, fastapi.Depends(get_user_id)],
+) -> builder_model.CountResponse:
+    """
+    Get item counts for the menu categories in the Blocks Menu.
+    """
+    return await builder_db.get_counts(user_id)
diff --git a/autogpt_platform/backend/backend/server/v2/library/db.py b/autogpt_platform/backend/backend/server/v2/library/db.py
index 8d142ef40c76..9c69b023a0cf 100644
--- a/autogpt_platform/backend/backend/server/v2/library/db.py
+++ b/autogpt_platform/backend/backend/server/v2/library/db.py
@@ -1,165 +1,932 @@
+import asyncio
 import logging
-from typing import List
+from typing import Literal, Optional
 
+import fastapi
 import prisma.errors
+import prisma.fields
 import prisma.models
 import prisma.types
 
-import backend.data.graph
-import backend.data.includes
-import backend.server.v2.library.model
-import backend.server.v2.store.exceptions
+import backend.data.graph as graph_db
+import backend.server.v2.library.model as library_model
+import backend.server.v2.store.exceptions as store_exceptions
+import backend.server.v2.store.image_gen as store_image_gen
+import backend.server.v2.store.media as store_media
+from backend.data.block import BlockInput
+from backend.data.db import transaction
+from backend.data.execution import get_graph_execution
+from backend.data.includes import library_agent_include
+from backend.data.model import CredentialsMetaInput
+from backend.integrations.creds_manager import IntegrationCredentialsManager
+from backend.integrations.webhooks.graph_lifecycle_hooks import on_graph_activate
+from backend.util.exceptions import NotFoundError
+from backend.util.json import SafeJson
+from backend.util.models import Pagination
+from backend.util.settings import Config
 
 logger = logging.getLogger(__name__)
+config = Config()
+integration_creds_manager = IntegrationCredentialsManager()
 
 
-async def get_library_agents(
+async def list_library_agents(
     user_id: str,
-) -> List[backend.server.v2.library.model.LibraryAgent]:
+    search_term: Optional[str] = None,
+    sort_by: library_model.LibraryAgentSort = library_model.LibraryAgentSort.UPDATED_AT,
+    page: int = 1,
+    page_size: int = 50,
+) -> library_model.LibraryAgentResponse:
     """
-    Returns all agents (AgentGraph) that belong to the user and all agents in their library (UserAgent table)
+    Retrieves a paginated list of LibraryAgent records for a given user.
+
+    Args:
+        user_id: The ID of the user whose LibraryAgents we want to retrieve.
+        search_term: Optional string to filter agents by name/description.
+        sort_by: Sorting field (createdAt, updatedAt, isFavorite, isCreatedByUser).
+        page: Current page (1-indexed).
+        page_size: Number of items per page.
+
+    Returns:
+        A LibraryAgentResponse containing the list of agents and pagination details.
+
+    Raises:
+        DatabaseError: If there is an issue fetching from Prisma.
     """
-    logger.debug(f"Getting library agents for user {user_id}")
+    logger.debug(
+        f"Fetching library agents for user_id={user_id}, "
+        f"search_term={repr(search_term)}, "
+        f"sort_by={sort_by}, page={page}, page_size={page_size}"
+    )
 
-    try:
-        # Get agents created by user with nodes and links
-        user_created = await prisma.models.AgentGraph.prisma().find_many(
-            where=prisma.types.AgentGraphWhereInput(userId=user_id, isActive=True),
-            include=backend.data.includes.AGENT_GRAPH_INCLUDE,
-        )
+    if page < 1 or page_size < 1:
+        logger.warning(f"Invalid pagination: page={page}, page_size={page_size}")
+        raise store_exceptions.DatabaseError("Invalid pagination input")
 
-        # Get agents in user's library with nodes and links
-        library_agents = await prisma.models.UserAgent.prisma().find_many(
-            where=prisma.types.UserAgentWhereInput(
-                userId=user_id, isDeleted=False, isArchived=False
-            ),
-            include={
-                "Agent": {
-                    "include": {
-                        "AgentNodes": {
-                            "include": {
-                                "Input": True,
-                                "Output": True,
-                                "Webhook": True,
-                                "AgentBlock": True,
-                            }
-                        }
+    if search_term and len(search_term.strip()) > 100:
+        logger.warning(f"Search term too long: {repr(search_term)}")
+        raise store_exceptions.DatabaseError("Search term is too long")
+
+    where_clause: prisma.types.LibraryAgentWhereInput = {
+        "userId": user_id,
+        "isDeleted": False,
+        "isArchived": False,
+    }
+
+    # Build search filter if applicable
+    if search_term:
+        where_clause["OR"] = [
+            {
+                "AgentGraph": {
+                    "is": {"name": {"contains": search_term, "mode": "insensitive"}}
+                }
+            },
+            {
+                "AgentGraph": {
+                    "is": {
+                        "description": {"contains": search_term, "mode": "insensitive"}
                     }
                 }
             },
+        ]
+
+    # Determine sorting
+    order_by: prisma.types.LibraryAgentOrderByInput | None = None
+
+    if sort_by == library_model.LibraryAgentSort.CREATED_AT:
+        order_by = {"createdAt": "asc"}
+    elif sort_by == library_model.LibraryAgentSort.UPDATED_AT:
+        order_by = {"updatedAt": "desc"}
+
+    try:
+        library_agents = await prisma.models.LibraryAgent.prisma().find_many(
+            where=where_clause,
+            include=library_agent_include(user_id),
+            order=order_by,
+            skip=(page - 1) * page_size,
+            take=page_size,
+        )
+        agent_count = await prisma.models.LibraryAgent.prisma().count(
+            where=where_clause
+        )
+
+        logger.debug(
+            f"Retrieved {len(library_agents)} library agents for user #{user_id}"
         )
 
-        # Convert to Graph models first
-        graphs = []
+        # Only pass valid agents to the response
+        valid_library_agents: list[library_model.LibraryAgent] = []
 
-        # Add user created agents
-        for agent in user_created:
+        for agent in library_agents:
             try:
-                graphs.append(backend.data.graph.GraphModel.from_db(agent))
+                library_agent = library_model.LibraryAgent.from_db(agent)
+                valid_library_agents.append(library_agent)
             except Exception as e:
-                logger.error(f"Error processing user created agent {agent.id}: {e}")
+                # Skip this agent if there was an error
+                logger.error(
+                    f"Error parsing LibraryAgent #{agent.id} from DB item: {e}"
+                )
                 continue
 
-        # Add library agents
-        for agent in library_agents:
-            if agent.Agent:
-                try:
-                    graphs.append(backend.data.graph.GraphModel.from_db(agent.Agent))
-                except Exception as e:
-                    logger.error(f"Error processing library agent {agent.agentId}: {e}")
-                    continue
-
-        # Convert Graph models to LibraryAgent models
-        result = []
-        for graph in graphs:
-            result.append(
-                backend.server.v2.library.model.LibraryAgent(
-                    id=graph.id,
-                    version=graph.version,
-                    is_active=graph.is_active,
-                    name=graph.name,
-                    description=graph.description,
-                    isCreatedByUser=any(a.id == graph.id for a in user_created),
-                    input_schema=graph.input_schema,
-                    output_schema=graph.output_schema,
+        # Return the response with only valid agents
+        return library_model.LibraryAgentResponse(
+            agents=valid_library_agents,
+            pagination=Pagination(
+                total_items=agent_count,
+                total_pages=(agent_count + page_size - 1) // page_size,
+                current_page=page,
+                page_size=page_size,
+            ),
+        )
+
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error fetching library agents: {e}")
+        raise store_exceptions.DatabaseError("Failed to fetch library agents") from e
+
+
+async def get_library_agent(id: str, user_id: str) -> library_model.LibraryAgent:
+    """
+    Get a specific agent from the user's library.
+
+    Args:
+        id: ID of the library agent to retrieve.
+        user_id: ID of the authenticated user.
+
+    Returns:
+        The requested LibraryAgent.
+
+    Raises:
+        AgentNotFoundError: If the specified agent does not exist.
+        DatabaseError: If there's an error during retrieval.
+    """
+    try:
+        library_agent = await prisma.models.LibraryAgent.prisma().find_first(
+            where={
+                "id": id,
+                "userId": user_id,
+                "isDeleted": False,
+            },
+            include=library_agent_include(user_id),
+        )
+
+        if not library_agent:
+            raise NotFoundError(f"Library agent #{id} not found")
+
+        return library_model.LibraryAgent.from_db(
+            library_agent,
+            sub_graphs=(
+                await graph_db.get_sub_graphs(library_agent.AgentGraph)
+                if library_agent.AgentGraph
+                else None
+            ),
+        )
+
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error fetching library agent: {e}")
+        raise store_exceptions.DatabaseError("Failed to fetch library agent") from e
+
+
+async def get_library_agent_by_store_version_id(
+    store_listing_version_id: str,
+    user_id: str,
+) -> library_model.LibraryAgent | None:
+    """
+    Get the library agent metadata for a given store listing version ID and user ID.
+    """
+    logger.debug(
+        f"Getting library agent for store listing ID: {store_listing_version_id}"
+    )
+
+    store_listing_version = (
+        await prisma.models.StoreListingVersion.prisma().find_unique(
+            where={"id": store_listing_version_id},
+        )
+    )
+    if not store_listing_version:
+        logger.warning(f"Store listing version not found: {store_listing_version_id}")
+        raise NotFoundError(
+            f"Store listing version {store_listing_version_id} not found or invalid"
+        )
+
+    # Check if user already has this agent
+    agent = await prisma.models.LibraryAgent.prisma().find_first(
+        where={
+            "userId": user_id,
+            "agentGraphId": store_listing_version.agentGraphId,
+            "agentGraphVersion": store_listing_version.agentGraphVersion,
+            "isDeleted": False,
+        },
+        include=library_agent_include(user_id),
+    )
+    return library_model.LibraryAgent.from_db(agent) if agent else None
+
+
+async def get_library_agent_by_graph_id(
+    user_id: str,
+    graph_id: str,
+    graph_version: Optional[int] = None,
+) -> library_model.LibraryAgent | None:
+    try:
+        filter: prisma.types.LibraryAgentWhereInput = {
+            "agentGraphId": graph_id,
+            "userId": user_id,
+            "isDeleted": False,
+        }
+        if graph_version is not None:
+            filter["agentGraphVersion"] = graph_version
+
+        agent = await prisma.models.LibraryAgent.prisma().find_first(
+            where=filter,
+            include=library_agent_include(user_id),
+        )
+        if not agent:
+            return None
+
+        assert agent.AgentGraph  # make type checker happy
+        # Include sub-graphs so we can make a full credentials input schema
+        sub_graphs = await graph_db.get_sub_graphs(agent.AgentGraph)
+        return library_model.LibraryAgent.from_db(agent, sub_graphs=sub_graphs)
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error fetching library agent by graph ID: {e}")
+        raise store_exceptions.DatabaseError("Failed to fetch library agent") from e
+
+
+async def add_generated_agent_image(
+    graph: graph_db.BaseGraph,
+    user_id: str,
+    library_agent_id: str,
+) -> Optional[prisma.models.LibraryAgent]:
+    """
+    Generates an image for the specified LibraryAgent and updates its record.
+    """
+    graph_id = graph.id
+
+    # Use .jpeg here since we are generating JPEG images
+    filename = f"agent_{graph_id}.jpeg"
+    try:
+        if not (image_url := await store_media.check_media_exists(user_id, filename)):
+            # Generate agent image as JPEG
+            image = await store_image_gen.generate_agent_image(graph)
+
+            # Create UploadFile with the correct filename and content_type
+            image_file = fastapi.UploadFile(file=image, filename=filename)
+
+            image_url = await store_media.upload_media(
+                user_id=user_id, file=image_file, use_file_name=True
+            )
+    except Exception as e:
+        logger.warning(f"Error generating and uploading agent image: {e}")
+        return None
+
+    return await prisma.models.LibraryAgent.prisma().update(
+        where={"id": library_agent_id},
+        data={"imageUrl": image_url},
+    )
+
+
+async def create_library_agent(
+    graph: graph_db.GraphModel,
+    user_id: str,
+    create_library_agents_for_sub_graphs: bool = True,
+) -> list[library_model.LibraryAgent]:
+    """
+    Adds an agent to the user's library (LibraryAgent table).
+
+    Args:
+        agent: The agent/Graph to add to the library.
+        user_id: The user to whom the agent will be added.
+        create_library_agents_for_sub_graphs: If True, creates LibraryAgent records for sub-graphs as well.
+
+    Returns:
+        The newly created LibraryAgent records.
+        If the graph has sub-graphs, the parent graph will always be the first entry in the list.
+
+    Raises:
+        AgentNotFoundError: If the specified agent does not exist.
+        DatabaseError: If there's an error during creation or if image generation fails.
+    """
+    logger.info(
+        f"Creating library agent for graph #{graph.id} v{graph.version}; "
+        f"user #{user_id}"
+    )
+    graph_entries = (
+        [graph, *graph.sub_graphs] if create_library_agents_for_sub_graphs else [graph]
+    )
+
+    async with transaction() as tx:
+        library_agents = await asyncio.gather(
+            *(
+                prisma.models.LibraryAgent.prisma(tx).create(
+                    data=prisma.types.LibraryAgentCreateInput(
+                        isCreatedByUser=(user_id == user_id),
+                        useGraphIsActiveVersion=True,
+                        User={"connect": {"id": user_id}},
+                        # Creator={"connect": {"id": user_id}},
+                        AgentGraph={
+                            "connect": {
+                                "graphVersionId": {
+                                    "id": graph_entry.id,
+                                    "version": graph_entry.version,
+                                }
+                            }
+                        },
+                    ),
+                    include=library_agent_include(user_id),
                 )
+                for graph_entry in graph_entries
             )
+        )
+
+    # Generate images for the main graph and sub-graphs
+    for agent, graph in zip(library_agents, graph_entries):
+        asyncio.create_task(add_generated_agent_image(graph, user_id, agent.id))
+
+    return [library_model.LibraryAgent.from_db(agent) for agent in library_agents]
+
+
+async def update_agent_version_in_library(
+    user_id: str,
+    agent_graph_id: str,
+    agent_graph_version: int,
+) -> None:
+    """
+    Updates the agent version in the library if useGraphIsActiveVersion is True.
 
-        logger.debug(f"Found {len(result)} library agents")
-        return result
+    Args:
+        user_id: Owner of the LibraryAgent.
+        agent_graph_id: The agent graph's ID to update.
+        agent_graph_version: The new version of the agent graph.
 
+    Raises:
+        DatabaseError: If there's an error with the update.
+    """
+    logger.debug(
+        f"Updating agent version in library for user #{user_id}, "
+        f"agent #{agent_graph_id} v{agent_graph_version}"
+    )
+    try:
+        library_agent = await prisma.models.LibraryAgent.prisma().find_first_or_raise(
+            where={
+                "userId": user_id,
+                "agentGraphId": agent_graph_id,
+                "useGraphIsActiveVersion": True,
+            },
+        )
+        await prisma.models.LibraryAgent.prisma().update(
+            where={"id": library_agent.id},
+            data={
+                "AgentGraph": {
+                    "connect": {
+                        "graphVersionId": {
+                            "id": agent_graph_id,
+                            "version": agent_graph_version,
+                        }
+                    },
+                },
+            },
+        )
     except prisma.errors.PrismaError as e:
-        logger.error(f"Database error getting library agents: {str(e)}")
-        raise backend.server.v2.store.exceptions.DatabaseError(
-            "Failed to fetch library agents"
+        logger.error(f"Database error updating agent version in library: {e}")
+        raise store_exceptions.DatabaseError(
+            "Failed to update agent version in library"
         ) from e
 
 
-async def add_agent_to_library(store_listing_version_id: str, user_id: str) -> None:
+async def update_library_agent(
+    library_agent_id: str,
+    user_id: str,
+    auto_update_version: Optional[bool] = None,
+    is_favorite: Optional[bool] = None,
+    is_archived: Optional[bool] = None,
+    is_deleted: Optional[Literal[False]] = None,
+) -> library_model.LibraryAgent:
     """
-    Finds the agent from the store listing version and adds it to the user's library (UserAgent table)
-    if they don't already have it
+    Updates the specified LibraryAgent record.
+
+    Args:
+        library_agent_id: The ID of the LibraryAgent to update.
+        user_id: The owner of this LibraryAgent.
+        auto_update_version: Whether the agent should auto-update to active version.
+        is_favorite: Whether this agent is marked as a favorite.
+        is_archived: Whether this agent is archived.
+
+    Returns:
+        The updated LibraryAgent.
+
+    Raises:
+        NotFoundError: If the specified LibraryAgent does not exist.
+        DatabaseError: If there's an error in the update operation.
     """
     logger.debug(
-        f"Adding agent from store listing version {store_listing_version_id} to library for user {user_id}"
+        f"Updating library agent {library_agent_id} for user {user_id} with "
+        f"auto_update_version={auto_update_version}, is_favorite={is_favorite}, "
+        f"is_archived={is_archived}"
+    )
+    update_fields: prisma.types.LibraryAgentUpdateManyMutationInput = {}
+    if auto_update_version is not None:
+        update_fields["useGraphIsActiveVersion"] = auto_update_version
+    if is_favorite is not None:
+        update_fields["isFavorite"] = is_favorite
+    if is_archived is not None:
+        update_fields["isArchived"] = is_archived
+    if is_deleted is not None:
+        if is_deleted is True:
+            raise RuntimeError(
+                "Use delete_library_agent() to (soft-)delete library agents"
+            )
+        update_fields["isDeleted"] = is_deleted
+    if not update_fields:
+        raise ValueError("No values were passed to update")
+
+    try:
+        n_updated = await prisma.models.LibraryAgent.prisma().update_many(
+            where={"id": library_agent_id, "userId": user_id},
+            data=update_fields,
+        )
+        if n_updated < 1:
+            raise NotFoundError(f"Library agent {library_agent_id} not found")
+
+        return await get_library_agent(
+            id=library_agent_id,
+            user_id=user_id,
+        )
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error updating library agent: {str(e)}")
+        raise store_exceptions.DatabaseError("Failed to update library agent") from e
+
+
+async def delete_library_agent(
+    library_agent_id: str, user_id: str, soft_delete: bool = True
+) -> None:
+    if soft_delete:
+        deleted_count = await prisma.models.LibraryAgent.prisma().update_many(
+            where={"id": library_agent_id, "userId": user_id}, data={"isDeleted": True}
+        )
+    else:
+        deleted_count = await prisma.models.LibraryAgent.prisma().delete_many(
+            where={"id": library_agent_id, "userId": user_id}
+        )
+    if deleted_count < 1:
+        raise NotFoundError(f"Library agent #{library_agent_id} not found")
+
+
+async def delete_library_agent_by_graph_id(graph_id: str, user_id: str) -> None:
+    """
+    Deletes a library agent for the given user
+    """
+    try:
+        await prisma.models.LibraryAgent.prisma().delete_many(
+            where={"agentGraphId": graph_id, "userId": user_id}
+        )
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error deleting library agent: {e}")
+        raise store_exceptions.DatabaseError("Failed to delete library agent") from e
+
+
+async def add_store_agent_to_library(
+    store_listing_version_id: str, user_id: str
+) -> library_model.LibraryAgent:
+    """
+    Adds an agent from a store listing version to the user's library if they don't already have it.
+
+    Args:
+        store_listing_version_id: The ID of the store listing version containing the agent.
+        user_id: The user’s library to which the agent is being added.
+
+    Returns:
+        The newly created LibraryAgent if successfully added, the existing corresponding one if any.
+
+    Raises:
+        AgentNotFoundError: If the store listing or associated agent is not found.
+        DatabaseError: If there's an issue creating the LibraryAgent record.
+    """
+    logger.debug(
+        f"Adding agent from store listing version #{store_listing_version_id} "
+        f"to library for user #{user_id}"
     )
 
     try:
-        # Get store listing version to find agent
         store_listing_version = (
             await prisma.models.StoreListingVersion.prisma().find_unique(
-                where={"id": store_listing_version_id}, include={"Agent": True}
+                where={"id": store_listing_version_id}, include={"AgentGraph": True}
             )
         )
-
-        if not store_listing_version or not store_listing_version.Agent:
+        if not store_listing_version or not store_listing_version.AgentGraph:
             logger.warning(
                 f"Store listing version not found: {store_listing_version_id}"
             )
-            raise backend.server.v2.store.exceptions.AgentNotFoundError(
-                f"Store listing version {store_listing_version_id} not found"
+            raise store_exceptions.AgentNotFoundError(
+                f"Store listing version {store_listing_version_id} not found or invalid"
             )
 
-        agent = store_listing_version.Agent
-
-        if agent.userId == user_id:
-            logger.warning(
-                f"User {user_id} cannot add their own agent to their library"
-            )
-            raise backend.server.v2.store.exceptions.DatabaseError(
-                "Cannot add own agent to library"
-            )
+        graph = store_listing_version.AgentGraph
 
         # Check if user already has this agent
-        existing_user_agent = await prisma.models.UserAgent.prisma().find_first(
+        existing_library_agent = await prisma.models.LibraryAgent.prisma().find_unique(
             where={
-                "userId": user_id,
-                "agentId": agent.id,
-                "agentVersion": agent.version,
-            }
+                "userId_agentGraphId_agentGraphVersion": {
+                    "userId": user_id,
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
+                }
+            },
+            include={"AgentGraph": True},
         )
+        if existing_library_agent:
+            if existing_library_agent.isDeleted:
+                # Even if agent exists it needs to be marked as not deleted
+                await update_library_agent(
+                    existing_library_agent.id, user_id, is_deleted=False
+                )
+            else:
+                logger.debug(
+                    f"User #{user_id} already has graph #{graph.id} "
+                    f"v{graph.version} in their library"
+                )
+            return library_model.LibraryAgent.from_db(existing_library_agent)
+
+        # Create LibraryAgent entry
+        added_agent = await prisma.models.LibraryAgent.prisma().create(
+            data={
+                "User": {"connect": {"id": user_id}},
+                "AgentGraph": {
+                    "connect": {
+                        "graphVersionId": {"id": graph.id, "version": graph.version}
+                    }
+                },
+                "isCreatedByUser": False,
+            },
+            include=library_agent_include(user_id),
+        )
+        logger.debug(
+            f"Added graph #{graph.id} v{graph.version}"
+            f"for store listing version #{store_listing_version.id} "
+            f"to library for user #{user_id}"
+        )
+        return library_model.LibraryAgent.from_db(added_agent)
+    except store_exceptions.AgentNotFoundError:
+        # Reraise for external handling.
+        raise
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error adding agent to library: {e}")
+        raise store_exceptions.DatabaseError("Failed to add agent to library") from e
+
+
+##############################################
+########### Presets DB Functions #############
+##############################################
 
-        if existing_user_agent:
-            logger.debug(
-                f"User {user_id} already has agent {agent.id} in their library"
-            )
-            return
 
-        # Create UserAgent entry
-        await prisma.models.UserAgent.prisma().create(
-            data=prisma.types.UserAgentCreateInput(
+async def list_presets(
+    user_id: str, page: int, page_size: int, graph_id: Optional[str] = None
+) -> library_model.LibraryAgentPresetResponse:
+    """
+    Retrieves a paginated list of AgentPresets for the specified user.
+
+    Args:
+        user_id: The user ID whose presets are being retrieved.
+        page: The current page index (1-based).
+        page_size: Number of items to retrieve per page.
+        graph_id: Agent Graph ID to filter by.
+
+    Returns:
+        A LibraryAgentPresetResponse containing a list of presets and pagination info.
+
+    Raises:
+        DatabaseError: If there's a database error during the operation.
+    """
+    logger.debug(
+        f"Fetching presets for user #{user_id}, page={page}, page_size={page_size}"
+    )
+
+    if page < 1 or page_size < 1:
+        logger.warning(
+            "Invalid pagination input: page=%d, page_size=%d", page, page_size
+        )
+        raise store_exceptions.DatabaseError("Invalid pagination parameters")
+
+    query_filter: prisma.types.AgentPresetWhereInput = {
+        "userId": user_id,
+        "isDeleted": False,
+    }
+    if graph_id:
+        query_filter["agentGraphId"] = graph_id
+
+    try:
+        presets_records = await prisma.models.AgentPreset.prisma().find_many(
+            where=query_filter,
+            skip=(page - 1) * page_size,
+            take=page_size,
+            include={"InputPresets": True},
+        )
+        total_items = await prisma.models.AgentPreset.prisma().count(where=query_filter)
+        total_pages = (total_items + page_size - 1) // page_size
+
+        presets = [
+            library_model.LibraryAgentPreset.from_db(preset)
+            for preset in presets_records
+        ]
+
+        return library_model.LibraryAgentPresetResponse(
+            presets=presets,
+            pagination=Pagination(
+                total_items=total_items,
+                total_pages=total_pages,
+                current_page=page,
+                page_size=page_size,
+            ),
+        )
+
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error getting presets: {e}")
+        raise store_exceptions.DatabaseError("Failed to fetch presets") from e
+
+
+async def get_preset(
+    user_id: str, preset_id: str
+) -> library_model.LibraryAgentPreset | None:
+    """
+    Retrieves a single AgentPreset by its ID for a given user.
+
+    Args:
+        user_id: The user that owns the preset.
+        preset_id: The ID of the preset.
+
+    Returns:
+        A LibraryAgentPreset if it exists and matches the user, otherwise None.
+
+    Raises:
+        DatabaseError: If there's a database error during the fetch.
+    """
+    logger.debug(f"Fetching preset #{preset_id} for user #{user_id}")
+    try:
+        preset = await prisma.models.AgentPreset.prisma().find_unique(
+            where={"id": preset_id},
+            include={"InputPresets": True},
+        )
+        if not preset or preset.userId != user_id or preset.isDeleted:
+            return None
+        return library_model.LibraryAgentPreset.from_db(preset)
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error getting preset: {e}")
+        raise store_exceptions.DatabaseError("Failed to fetch preset") from e
+
+
+async def create_preset(
+    user_id: str,
+    preset: library_model.LibraryAgentPresetCreatable,
+) -> library_model.LibraryAgentPreset:
+    """
+    Creates a new AgentPreset for a user.
+
+    Args:
+        user_id: The ID of the user creating the preset.
+        preset: The preset data used for creation.
+
+    Returns:
+        The newly created LibraryAgentPreset.
+
+    Raises:
+        DatabaseError: If there's a database error in creating the preset.
+    """
+    logger.debug(
+        f"Creating preset ({repr(preset.name)}) for user #{user_id}",
+    )
+    try:
+        new_preset = await prisma.models.AgentPreset.prisma().create(
+            data=prisma.types.AgentPresetCreateInput(
                 userId=user_id,
-                agentId=agent.id,
-                agentVersion=agent.version,
-                isCreatedByUser=False,
+                name=preset.name,
+                description=preset.description,
+                agentGraphId=preset.graph_id,
+                agentGraphVersion=preset.graph_version,
+                isActive=preset.is_active,
+                webhookId=preset.webhook_id,
+                InputPresets={
+                    "create": [
+                        prisma.types.AgentNodeExecutionInputOutputCreateWithoutRelationsInput(  # noqa
+                            name=name, data=SafeJson(data)
+                        )
+                        for name, data in {
+                            **preset.inputs,
+                            **{
+                                key: creds_meta.model_dump(exclude_none=True)
+                                for key, creds_meta in preset.credentials.items()
+                            },
+                        }.items()
+                    ]
+                },
+            ),
+            include={"InputPresets": True},
+        )
+        return library_model.LibraryAgentPreset.from_db(new_preset)
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error creating preset: {e}")
+        raise store_exceptions.DatabaseError("Failed to create preset") from e
+
+
+async def create_preset_from_graph_execution(
+    user_id: str,
+    create_request: library_model.LibraryAgentPresetCreatableFromGraphExecution,
+) -> library_model.LibraryAgentPreset:
+    """
+    Creates a new AgentPreset from an AgentGraphExecution.
+
+    Params:
+        user_id: The ID of the user creating the preset.
+        create_request: The data used for creation.
+
+    Returns:
+        The newly created LibraryAgentPreset.
+
+    Raises:
+        DatabaseError: If there's a database error in creating the preset.
+    """
+    graph_exec_id = create_request.graph_execution_id
+    graph_execution = await get_graph_execution(user_id, graph_exec_id)
+    if not graph_execution:
+        raise NotFoundError(f"Graph execution #{graph_exec_id} not found")
+
+    logger.debug(
+        f"Creating preset for user #{user_id} from graph execution #{graph_exec_id}",
+    )
+    return await create_preset(
+        user_id=user_id,
+        preset=library_model.LibraryAgentPresetCreatable(
+            inputs=graph_execution.inputs,
+            credentials={},  # FIXME
+            graph_id=graph_execution.graph_id,
+            graph_version=graph_execution.graph_version,
+            name=create_request.name,
+            description=create_request.description,
+            is_active=create_request.is_active,
+        ),
+    )
+
+
+async def update_preset(
+    user_id: str,
+    preset_id: str,
+    inputs: Optional[BlockInput] = None,
+    credentials: Optional[dict[str, CredentialsMetaInput]] = None,
+    name: Optional[str] = None,
+    description: Optional[str] = None,
+    is_active: Optional[bool] = None,
+) -> library_model.LibraryAgentPreset:
+    """
+    Updates an existing AgentPreset for a user.
+
+    Args:
+        user_id: The ID of the user updating the preset.
+        preset_id: The ID of the preset to update.
+        inputs: New inputs object to set on the preset.
+        credentials: New credentials to set on the preset.
+        name: New name for the preset.
+        description: New description for the preset.
+        is_active: New active status for the preset.
+
+    Returns:
+        The updated LibraryAgentPreset.
+
+    Raises:
+        DatabaseError: If there's a database error in updating the preset.
+        NotFoundError: If attempting to update a non-existent preset.
+    """
+    current = await get_preset(user_id, preset_id)  # assert ownership
+    if not current:
+        raise NotFoundError(f"Preset #{preset_id} not found for user #{user_id}")
+    logger.debug(
+        f"Updating preset #{preset_id} ({repr(current.name)}) for user #{user_id}",
+    )
+    try:
+        async with transaction() as tx:
+            update_data: prisma.types.AgentPresetUpdateInput = {}
+            if name:
+                update_data["name"] = name
+            if description:
+                update_data["description"] = description
+            if is_active is not None:
+                update_data["isActive"] = is_active
+            if inputs or credentials:
+                if not (inputs and credentials):
+                    raise ValueError(
+                        "Preset inputs and credentials must be provided together"
+                    )
+                update_data["InputPresets"] = {
+                    "create": [
+                        prisma.types.AgentNodeExecutionInputOutputCreateWithoutRelationsInput(  # noqa
+                            name=name, data=SafeJson(data)
+                        )
+                        for name, data in {
+                            **inputs,
+                            **{
+                                key: creds_meta.model_dump(exclude_none=True)
+                                for key, creds_meta in credentials.items()
+                            },
+                        }.items()
+                    ],
+                }
+                # Existing InputPresets must be deleted, in a separate query
+                await prisma.models.AgentNodeExecutionInputOutput.prisma(
+                    tx
+                ).delete_many(where={"agentPresetId": preset_id})
+
+            updated = await prisma.models.AgentPreset.prisma(tx).update(
+                where={"id": preset_id},
+                data=update_data,
+                include={"InputPresets": True},
             )
+        if not updated:
+            raise RuntimeError(f"AgentPreset #{preset_id} vanished while updating")
+        return library_model.LibraryAgentPreset.from_db(updated)
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error updating preset: {e}")
+        raise store_exceptions.DatabaseError("Failed to update preset") from e
+
+
+async def set_preset_webhook(
+    user_id: str, preset_id: str, webhook_id: str | None
+) -> library_model.LibraryAgentPreset:
+    current = await prisma.models.AgentPreset.prisma().find_unique(
+        where={"id": preset_id},
+        include={"InputPresets": True},
+    )
+    if not current or current.userId != user_id:
+        raise NotFoundError(f"Preset #{preset_id} not found")
+
+    updated = await prisma.models.AgentPreset.prisma().update(
+        where={"id": preset_id},
+        data=(
+            {"Webhook": {"connect": {"id": webhook_id}}}
+            if webhook_id
+            else {"Webhook": {"disconnect": True}}
+        ),
+        include={"InputPresets": True},
+    )
+    if not updated:
+        raise RuntimeError(f"AgentPreset #{preset_id} vanished while updating")
+    return library_model.LibraryAgentPreset.from_db(updated)
+
+
+async def delete_preset(user_id: str, preset_id: str) -> None:
+    """
+    Soft-deletes a preset by marking it as isDeleted = True.
+
+    Args:
+        user_id: The user that owns the preset.
+        preset_id: The ID of the preset to delete.
+
+    Raises:
+        DatabaseError: If there's a database error during deletion.
+    """
+    logger.debug(f"Setting preset #{preset_id} for user #{user_id} to deleted")
+    try:
+        await prisma.models.AgentPreset.prisma().update_many(
+            where={"id": preset_id, "userId": user_id},
+            data={"isDeleted": True},
         )
-        logger.debug(f"Added agent {agent.id} to library for user {user_id}")
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error deleting preset: {e}")
+        raise store_exceptions.DatabaseError("Failed to delete preset") from e
 
-    except backend.server.v2.store.exceptions.AgentNotFoundError:
-        raise
+
+async def fork_library_agent(
+    library_agent_id: str, user_id: str
+) -> library_model.LibraryAgent:
+    """
+    Clones a library agent and its underyling graph and nodes (with new ids) for the given user.
+
+    Args:
+        library_agent_id: The ID of the library agent to fork.
+        user_id: The ID of the user who owns the library agent.
+
+    Returns:
+        The forked parent (if it has sub-graphs) LibraryAgent.
+
+    Raises:
+        DatabaseError: If there's an error during the forking process.
+    """
+    logger.debug(f"Forking library agent {library_agent_id} for user {user_id}")
+    try:
+        # Fetch the original agent
+        original_agent = await get_library_agent(library_agent_id, user_id)
+
+        # Check if user owns the library agent
+        # TODO: once we have open/closed sourced agents this needs to be enabled ~kcze
+        # + update library/agents/[id]/page.tsx agent actions
+        # if not original_agent.can_access_graph:
+        #     raise store_exceptions.DatabaseError(
+        #         f"User {user_id} cannot access library agent graph {library_agent_id}"
+        #     )
+
+        # Fork the underlying graph and nodes
+        new_graph = await graph_db.fork_graph(
+            original_agent.graph_id, original_agent.graph_version, user_id
+        )
+        new_graph = await on_graph_activate(new_graph, user_id=user_id)
+
+        # Create a library agent for the new graph
+        return (await create_library_agent(new_graph, user_id))[0]
     except prisma.errors.PrismaError as e:
-        logger.error(f"Database error adding agent to library: {str(e)}")
-        raise backend.server.v2.store.exceptions.DatabaseError(
-            "Failed to add agent to library"
-        ) from e
+        logger.error(f"Database error cloning library agent: {e}")
+        raise store_exceptions.DatabaseError("Failed to fork library agent") from e
diff --git a/autogpt_platform/backend/backend/server/v2/library/db_test.py b/autogpt_platform/backend/backend/server/v2/library/db_test.py
index e06d4bfa9af3..7cb34ed75a82 100644
--- a/autogpt_platform/backend/backend/server/v2/library/db_test.py
+++ b/autogpt_platform/backend/backend/server/v2/library/db_test.py
@@ -1,23 +1,15 @@
 from datetime import datetime
 
+import prisma.enums
 import prisma.errors
 import prisma.models
+import prisma.types
 import pytest
-from prisma import Prisma
 
-import backend.data.includes
 import backend.server.v2.library.db as db
 import backend.server.v2.store.exceptions
-
-
-@pytest.fixture(autouse=True)
-async def setup_prisma():
-    # Don't register client if already registered
-    try:
-        Prisma()
-    except prisma.errors.ClientAlreadyRegisteredError:
-        pass
-    yield
+from backend.data.db import connect
+from backend.data.includes import library_agent_include
 
 
 @pytest.mark.asyncio
@@ -32,23 +24,23 @@ async def test_get_library_agents(mocker):
             userId="test-user",
             isActive=True,
             createdAt=datetime.now(),
-            isTemplate=False,
         )
     ]
 
     mock_library_agents = [
-        prisma.models.UserAgent(
+        prisma.models.LibraryAgent(
             id="ua1",
             userId="test-user",
-            agentId="agent2",
-            agentVersion=1,
+            agentGraphId="agent2",
+            agentGraphVersion=1,
             isCreatedByUser=False,
             isDeleted=False,
             isArchived=False,
             createdAt=datetime.now(),
             updatedAt=datetime.now(),
             isFavorite=False,
-            Agent=prisma.models.AgentGraph(
+            useGraphIsActiveVersion=True,
+            AgentGraph=prisma.models.AgentGraph(
                 id="agent2",
                 version=1,
                 name="Test Agent 2",
@@ -56,7 +48,6 @@ async def test_get_library_agents(mocker):
                 userId="other-user",
                 isActive=True,
                 createdAt=datetime.now(),
-                isTemplate=False,
             ),
         )
     ]
@@ -67,62 +58,46 @@ async def test_get_library_agents(mocker):
         return_value=mock_user_created
     )
 
-    mock_user_agent = mocker.patch("prisma.models.UserAgent.prisma")
-    mock_user_agent.return_value.find_many = mocker.AsyncMock(
+    mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
+    mock_library_agent.return_value.find_many = mocker.AsyncMock(
         return_value=mock_library_agents
     )
+    mock_library_agent.return_value.count = mocker.AsyncMock(return_value=1)
 
     # Call function
-    result = await db.get_library_agents("test-user")
+    result = await db.list_library_agents("test-user")
 
     # Verify results
-    assert len(result) == 2
-    assert result[0].id == "agent1"
-    assert result[0].name == "Test Agent 1"
-    assert result[0].description == "Test Description 1"
-    assert result[0].isCreatedByUser is True
-    assert result[1].id == "agent2"
-    assert result[1].name == "Test Agent 2"
-    assert result[1].description == "Test Description 2"
-    assert result[1].isCreatedByUser is False
-
-    # Verify mocks called correctly
-    mock_agent_graph.return_value.find_many.assert_called_once_with(
-        where=prisma.types.AgentGraphWhereInput(userId="test-user", isActive=True),
-        include=backend.data.includes.AGENT_GRAPH_INCLUDE,
-    )
-    mock_user_agent.return_value.find_many.assert_called_once_with(
-        where=prisma.types.UserAgentWhereInput(
-            userId="test-user", isDeleted=False, isArchived=False
-        ),
-        include={
-            "Agent": {
-                "include": {
-                    "AgentNodes": {
-                        "include": {
-                            "Input": True,
-                            "Output": True,
-                            "Webhook": True,
-                            "AgentBlock": True,
-                        }
-                    }
-                }
-            }
-        },
-    )
-
-
-@pytest.mark.asyncio
+    assert len(result.agents) == 1
+    assert result.agents[0].id == "ua1"
+    assert result.agents[0].name == "Test Agent 2"
+    assert result.agents[0].description == "Test Description 2"
+    assert result.agents[0].graph_id == "agent2"
+    assert result.agents[0].graph_version == 1
+    assert result.agents[0].can_access_graph is False
+    assert result.agents[0].is_latest_version is True
+    assert result.pagination.total_items == 1
+    assert result.pagination.total_pages == 1
+    assert result.pagination.current_page == 1
+    assert result.pagination.page_size == 50
+
+
+@pytest.mark.asyncio(loop_scope="session")
 async def test_add_agent_to_library(mocker):
+    await connect()
+
+    # Mock the transaction context
+    mock_transaction = mocker.patch("backend.server.v2.library.db.transaction")
+    mock_transaction.return_value.__aenter__ = mocker.AsyncMock(return_value=None)
+    mock_transaction.return_value.__aexit__ = mocker.AsyncMock(return_value=None)
     # Mock data
-    mock_store_listing = prisma.models.StoreListingVersion(
+    mock_store_listing_data = prisma.models.StoreListingVersion(
         id="version123",
         version=1,
         createdAt=datetime.now(),
         updatedAt=datetime.now(),
-        agentId="agent1",
-        agentVersion=1,
-        slug="test-agent",
+        agentGraphId="agent1",
+        agentGraphVersion=1,
         name="Test Agent",
         subHeading="Test Agent Subheading",
         imageUrls=["https://example.com/image.jpg"],
@@ -131,8 +106,9 @@ async def test_add_agent_to_library(mocker):
         isFeatured=False,
         isDeleted=False,
         isAvailable=True,
-        isApproved=True,
-        Agent=prisma.models.AgentGraph(
+        storeListingId="listing123",
+        submissionStatus=prisma.enums.SubmissionStatus.APPROVED,
+        AgentGraph=prisma.models.AgentGraph(
             id="agent1",
             version=1,
             name="Test Agent",
@@ -140,45 +116,74 @@ async def test_add_agent_to_library(mocker):
             userId="creator",
             isActive=True,
             createdAt=datetime.now(),
-            isTemplate=False,
         ),
     )
 
+    mock_library_agent_data = prisma.models.LibraryAgent(
+        id="ua1",
+        userId="test-user",
+        agentGraphId=mock_store_listing_data.agentGraphId,
+        agentGraphVersion=1,
+        isCreatedByUser=False,
+        isDeleted=False,
+        isArchived=False,
+        createdAt=datetime.now(),
+        updatedAt=datetime.now(),
+        isFavorite=False,
+        useGraphIsActiveVersion=True,
+        AgentGraph=mock_store_listing_data.AgentGraph,
+    )
+
     # Mock prisma calls
     mock_store_listing_version = mocker.patch(
         "prisma.models.StoreListingVersion.prisma"
     )
     mock_store_listing_version.return_value.find_unique = mocker.AsyncMock(
-        return_value=mock_store_listing
+        return_value=mock_store_listing_data
+    )
+
+    mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
+    mock_library_agent.return_value.find_unique = mocker.AsyncMock(return_value=None)
+    mock_library_agent.return_value.create = mocker.AsyncMock(
+        return_value=mock_library_agent_data
     )
 
-    mock_user_agent = mocker.patch("prisma.models.UserAgent.prisma")
-    mock_user_agent.return_value.find_first = mocker.AsyncMock(return_value=None)
-    mock_user_agent.return_value.create = mocker.AsyncMock()
+    # Mock the model conversion
+    mock_from_db = mocker.patch("backend.server.v2.library.model.LibraryAgent.from_db")
+    mock_from_db.return_value = mocker.Mock()
 
     # Call function
-    await db.add_agent_to_library("version123", "test-user")
+    await db.add_store_agent_to_library("version123", "test-user")
 
     # Verify mocks called correctly
     mock_store_listing_version.return_value.find_unique.assert_called_once_with(
-        where={"id": "version123"}, include={"Agent": True}
+        where={"id": "version123"}, include={"AgentGraph": True}
     )
-    mock_user_agent.return_value.find_first.assert_called_once_with(
+    mock_library_agent.return_value.find_unique.assert_called_once_with(
         where={
-            "userId": "test-user",
-            "agentId": "agent1",
-            "agentVersion": 1,
-        }
+            "userId_agentGraphId_agentGraphVersion": {
+                "userId": "test-user",
+                "agentGraphId": "agent1",
+                "agentGraphVersion": 1,
+            }
+        },
+        include={"AgentGraph": True},
     )
-    mock_user_agent.return_value.create.assert_called_once_with(
-        data=prisma.types.UserAgentCreateInput(
-            userId="test-user", agentId="agent1", agentVersion=1, isCreatedByUser=False
-        )
+    mock_library_agent.return_value.create.assert_called_once_with(
+        data={
+            "User": {"connect": {"id": "test-user"}},
+            "AgentGraph": {
+                "connect": {"graphVersionId": {"id": "agent1", "version": 1}}
+            },
+            "isCreatedByUser": False,
+        },
+        include=library_agent_include("test-user"),
     )
 
 
-@pytest.mark.asyncio
+@pytest.mark.asyncio(loop_scope="session")
 async def test_add_agent_to_library_not_found(mocker):
+    await connect()
     # Mock prisma calls
     mock_store_listing_version = mocker.patch(
         "prisma.models.StoreListingVersion.prisma"
@@ -189,9 +194,9 @@ async def test_add_agent_to_library_not_found(mocker):
 
     # Call function and verify exception
     with pytest.raises(backend.server.v2.store.exceptions.AgentNotFoundError):
-        await db.add_agent_to_library("version123", "test-user")
+        await db.add_store_agent_to_library("version123", "test-user")
 
     # Verify mock called correctly
     mock_store_listing_version.return_value.find_unique.assert_called_once_with(
-        where={"id": "version123"}, include={"Agent": True}
+        where={"id": "version123"}, include={"AgentGraph": True}
     )
diff --git a/autogpt_platform/backend/backend/server/v2/library/model.py b/autogpt_platform/backend/backend/server/v2/library/model.py
index 88a81f6d77a0..3838d9a88db2 100644
--- a/autogpt_platform/backend/backend/server/v2/library/model.py
+++ b/autogpt_platform/backend/backend/server/v2/library/model.py
@@ -1,16 +1,355 @@
-import typing
+import datetime
+from enum import Enum
+from typing import Any, Optional
 
+import prisma.enums
+import prisma.models
 import pydantic
 
+import backend.data.block as block_model
+import backend.data.graph as graph_model
+from backend.data.model import CredentialsMetaInput, is_credentials_field_name
+from backend.integrations.providers import ProviderName
+from backend.util.models import Pagination
+
+
+class LibraryAgentStatus(str, Enum):
+    COMPLETED = "COMPLETED"  # All runs completed
+    HEALTHY = "HEALTHY"  # Agent is running (not all runs have completed)
+    WAITING = "WAITING"  # Agent is queued or waiting to start
+    ERROR = "ERROR"  # Agent is in an error state
+
+
+class LibraryAgentTriggerInfo(pydantic.BaseModel):
+    provider: ProviderName
+    config_schema: dict[str, Any] = pydantic.Field(
+        description="Input schema for the trigger block"
+    )
+    credentials_input_name: Optional[str]
+
 
 class LibraryAgent(pydantic.BaseModel):
-    id: str  # Changed from agent_id to match GraphMeta
-    version: int  # Changed from agent_version to match GraphMeta
-    is_active: bool  # Added to match GraphMeta
+    """
+    Represents an agent in the library, including metadata for display and
+    user interaction within the system.
+    """
+
+    id: str
+    graph_id: str
+    graph_version: int
+
+    image_url: str | None
+
+    creator_name: str
+    creator_image_url: str
+
+    status: LibraryAgentStatus
+
+    updated_at: datetime.datetime
+
+    name: str
+    description: str
+
+    input_schema: dict[str, Any]  # Should be BlockIOObjectSubSchema in frontend
+    output_schema: dict[str, Any]
+    credentials_input_schema: dict[str, Any] | None = pydantic.Field(
+        description="Input schema for credentials required by the agent",
+    )
+
+    has_external_trigger: bool = pydantic.Field(
+        description="Whether the agent has an external trigger (e.g. webhook) node"
+    )
+    trigger_setup_info: Optional[LibraryAgentTriggerInfo] = None
+
+    # Indicates whether there's a new output (based on recent runs)
+    new_output: bool
+
+    # Whether the user can access the underlying graph
+    can_access_graph: bool
+
+    # Indicates if this agent is the latest version
+    is_latest_version: bool
+
+    @staticmethod
+    def from_db(
+        agent: prisma.models.LibraryAgent,
+        sub_graphs: Optional[list[prisma.models.AgentGraph]] = None,
+    ) -> "LibraryAgent":
+        """
+        Factory method that constructs a LibraryAgent from a Prisma LibraryAgent
+        model instance.
+        """
+        if not agent.AgentGraph:
+            raise ValueError("Associated Agent record is required.")
+
+        graph = graph_model.GraphModel.from_db(agent.AgentGraph, sub_graphs=sub_graphs)
+
+        agent_updated_at = agent.AgentGraph.updatedAt
+        lib_agent_updated_at = agent.updatedAt
+
+        # Compute updated_at as the latest between library agent and graph
+        updated_at = (
+            max(agent_updated_at, lib_agent_updated_at)
+            if agent_updated_at
+            else lib_agent_updated_at
+        )
+
+        creator_name = "Unknown"
+        creator_image_url = ""
+        if agent.Creator:
+            creator_name = agent.Creator.name or "Unknown"
+            creator_image_url = agent.Creator.avatarUrl or ""
+
+        # Logic to calculate status and new_output
+        week_ago = datetime.datetime.now(datetime.timezone.utc) - datetime.timedelta(
+            days=7
+        )
+        executions = agent.AgentGraph.Executions or []
+        status_result = _calculate_agent_status(executions, week_ago)
+        status = status_result.status
+        new_output = status_result.new_output
+
+        # Check if user can access the graph
+        can_access_graph = agent.AgentGraph.userId == agent.userId
+
+        # Hard-coded to True until a method to check is implemented
+        is_latest_version = True
+
+        return LibraryAgent(
+            id=agent.id,
+            graph_id=agent.agentGraphId,
+            graph_version=agent.agentGraphVersion,
+            image_url=agent.imageUrl,
+            creator_name=creator_name,
+            creator_image_url=creator_image_url,
+            status=status,
+            updated_at=updated_at,
+            name=graph.name,
+            description=graph.description,
+            input_schema=graph.input_schema,
+            output_schema=graph.output_schema,
+            credentials_input_schema=(
+                graph.credentials_input_schema if sub_graphs is not None else None
+            ),
+            has_external_trigger=graph.has_external_trigger,
+            trigger_setup_info=(
+                LibraryAgentTriggerInfo(
+                    provider=trigger_block.webhook_config.provider,
+                    config_schema={
+                        **(json_schema := trigger_block.input_schema.jsonschema()),
+                        "properties": {
+                            pn: sub_schema
+                            for pn, sub_schema in json_schema["properties"].items()
+                            if not is_credentials_field_name(pn)
+                        },
+                        "required": [
+                            pn
+                            for pn in json_schema.get("required", [])
+                            if not is_credentials_field_name(pn)
+                        ],
+                    },
+                    credentials_input_name=next(
+                        iter(trigger_block.input_schema.get_credentials_fields()), None
+                    ),
+                )
+                if graph.webhook_input_node
+                and (trigger_block := graph.webhook_input_node.block).webhook_config
+                else None
+            ),
+            new_output=new_output,
+            can_access_graph=can_access_graph,
+            is_latest_version=is_latest_version,
+        )
+
+
+class AgentStatusResult(pydantic.BaseModel):
+    status: LibraryAgentStatus
+    new_output: bool
+
+
+def _calculate_agent_status(
+    executions: list[prisma.models.AgentGraphExecution],
+    recent_threshold: datetime.datetime,
+) -> AgentStatusResult:
+    """
+    Helper function to determine the overall agent status and whether there
+    is new output (i.e., completed runs within the recent threshold).
+
+    :param executions: A list of AgentGraphExecution objects.
+    :param recent_threshold: A datetime; any execution after this indicates new output.
+    :return: (AgentStatus, new_output_flag)
+    """
+
+    if not executions:
+        return AgentStatusResult(status=LibraryAgentStatus.COMPLETED, new_output=False)
+
+    # Track how many times each execution status appears
+    status_counts = {status: 0 for status in prisma.enums.AgentExecutionStatus}
+    new_output = False
+
+    for execution in executions:
+        # Check if there's a completed run more recent than `recent_threshold`
+        if execution.createdAt >= recent_threshold:
+            if execution.executionStatus == prisma.enums.AgentExecutionStatus.COMPLETED:
+                new_output = True
+        status_counts[execution.executionStatus] += 1
+
+    # Determine the final status based on counts
+    if status_counts[prisma.enums.AgentExecutionStatus.FAILED] > 0:
+        return AgentStatusResult(status=LibraryAgentStatus.ERROR, new_output=new_output)
+    elif status_counts[prisma.enums.AgentExecutionStatus.QUEUED] > 0:
+        return AgentStatusResult(
+            status=LibraryAgentStatus.WAITING, new_output=new_output
+        )
+    elif status_counts[prisma.enums.AgentExecutionStatus.RUNNING] > 0:
+        return AgentStatusResult(
+            status=LibraryAgentStatus.HEALTHY, new_output=new_output
+        )
+    else:
+        return AgentStatusResult(
+            status=LibraryAgentStatus.COMPLETED, new_output=new_output
+        )
+
+
+class LibraryAgentResponse(pydantic.BaseModel):
+    """Response schema for a list of library agents and pagination info."""
+
+    agents: list[LibraryAgent]
+    pagination: Pagination
+
+
+class LibraryAgentPresetCreatable(pydantic.BaseModel):
+    """
+    Request model used when creating a new preset for a library agent.
+    """
+
+    graph_id: str
+    graph_version: int
+
+    inputs: block_model.BlockInput
+    credentials: dict[str, CredentialsMetaInput]
+
+    name: str
+    description: str
+
+    is_active: bool = True
+
+    webhook_id: Optional[str] = None
+
+
+class LibraryAgentPresetCreatableFromGraphExecution(pydantic.BaseModel):
+    """
+    Request model used when creating a new preset for a library agent.
+    """
+
+    graph_execution_id: str
+
     name: str
     description: str
 
-    isCreatedByUser: bool
-    # Made input_schema and output_schema match GraphMeta's type
-    input_schema: dict[str, typing.Any]  # Should be BlockIOObjectSubSchema in frontend
-    output_schema: dict[str, typing.Any]  # Should be BlockIOObjectSubSchema in frontend
+    is_active: bool = True
+
+
+class LibraryAgentPresetUpdatable(pydantic.BaseModel):
+    """
+    Request model used when updating a preset for a library agent.
+    """
+
+    inputs: Optional[block_model.BlockInput] = None
+    credentials: Optional[dict[str, CredentialsMetaInput]] = None
+
+    name: Optional[str] = None
+    description: Optional[str] = None
+
+    is_active: Optional[bool] = None
+
+
+class TriggeredPresetSetupRequest(pydantic.BaseModel):
+    name: str
+    description: str = ""
+
+    graph_id: str
+    graph_version: int
+
+    trigger_config: dict[str, Any]
+    agent_credentials: dict[str, CredentialsMetaInput] = pydantic.Field(
+        default_factory=dict
+    )
+
+
+class LibraryAgentPreset(LibraryAgentPresetCreatable):
+    """Represents a preset configuration for a library agent."""
+
+    id: str
+    user_id: str
+    updated_at: datetime.datetime
+
+    @classmethod
+    def from_db(cls, preset: prisma.models.AgentPreset) -> "LibraryAgentPreset":
+        if preset.InputPresets is None:
+            raise ValueError("InputPresets must be included in AgentPreset query")
+
+        input_data: block_model.BlockInput = {}
+        input_credentials: dict[str, CredentialsMetaInput] = {}
+
+        for preset_input in preset.InputPresets:
+            if not is_credentials_field_name(preset_input.name):
+                input_data[preset_input.name] = preset_input.data
+            else:
+                input_credentials[preset_input.name] = (
+                    CredentialsMetaInput.model_validate(preset_input.data)
+                )
+
+        return cls(
+            id=preset.id,
+            user_id=preset.userId,
+            updated_at=preset.updatedAt,
+            graph_id=preset.agentGraphId,
+            graph_version=preset.agentGraphVersion,
+            name=preset.name,
+            description=preset.description,
+            is_active=preset.isActive,
+            inputs=input_data,
+            credentials=input_credentials,
+            webhook_id=preset.webhookId,
+        )
+
+
+class LibraryAgentPresetResponse(pydantic.BaseModel):
+    """Response schema for a list of agent presets and pagination info."""
+
+    presets: list[LibraryAgentPreset]
+    pagination: Pagination
+
+
+class LibraryAgentFilter(str, Enum):
+    """Possible filters for searching library agents."""
+
+    IS_FAVOURITE = "isFavourite"
+    IS_CREATED_BY_USER = "isCreatedByUser"
+
+
+class LibraryAgentSort(str, Enum):
+    """Possible sort options for sorting library agents."""
+
+    CREATED_AT = "createdAt"
+    UPDATED_AT = "updatedAt"
+
+
+class LibraryAgentUpdateRequest(pydantic.BaseModel):
+    """
+    Schema for updating a library agent via PUT.
+
+    Includes flags for auto-updating version, marking as favorite,
+    archiving, or deleting.
+    """
+
+    auto_update_version: Optional[bool] = pydantic.Field(
+        default=None, description="Auto-update the agent version"
+    )
+    is_favorite: Optional[bool] = pydantic.Field(
+        default=None, description="Mark the agent as a favorite"
+    )
+    is_archived: Optional[bool] = pydantic.Field(
+        default=None, description="Archive the agent"
+    )
diff --git a/autogpt_platform/backend/backend/server/v2/library/model_test.py b/autogpt_platform/backend/backend/server/v2/library/model_test.py
index 81aa8fe07b23..898cc2502c01 100644
--- a/autogpt_platform/backend/backend/server/v2/library/model_test.py
+++ b/autogpt_platform/backend/backend/server/v2/library/model_test.py
@@ -1,43 +1,44 @@
-import backend.server.v2.library.model
+import datetime
 
+import prisma.fields
+import prisma.models
+import pytest
 
-def test_library_agent():
-    agent = backend.server.v2.library.model.LibraryAgent(
+import backend.server.v2.library.model as library_model
+
+
+@pytest.mark.asyncio
+async def test_agent_preset_from_db():
+    # Create mock DB agent
+    db_agent = prisma.models.AgentPreset(
         id="test-agent-123",
-        version=1,
-        is_active=True,
+        createdAt=datetime.datetime.now(),
+        updatedAt=datetime.datetime.now(),
+        agentGraphId="agent-123",
+        agentGraphVersion=1,
         name="Test Agent",
-        description="Test description",
-        isCreatedByUser=False,
-        input_schema={"type": "object", "properties": {}},
-        output_schema={"type": "object", "properties": {}},
+        description="Test agent description",
+        isActive=True,
+        userId="test-user-123",
+        isDeleted=False,
+        InputPresets=[
+            prisma.models.AgentNodeExecutionInputOutput.model_validate(
+                {
+                    "id": "input-123",
+                    "time": datetime.datetime.now(),
+                    "name": "input1",
+                    "data": '{"type": "string", "value": "test value"}',
+                }
+            )
+        ],
     )
-    assert agent.id == "test-agent-123"
-    assert agent.version == 1
-    assert agent.is_active is True
-    assert agent.name == "Test Agent"
-    assert agent.description == "Test description"
-    assert agent.isCreatedByUser is False
-    assert agent.input_schema == {"type": "object", "properties": {}}
-    assert agent.output_schema == {"type": "object", "properties": {}}
 
+    # Convert to LibraryAgentPreset
+    agent = library_model.LibraryAgentPreset.from_db(db_agent)
 
-def test_library_agent_with_user_created():
-    agent = backend.server.v2.library.model.LibraryAgent(
-        id="user-agent-456",
-        version=2,
-        is_active=True,
-        name="User Created Agent",
-        description="An agent created by the user",
-        isCreatedByUser=True,
-        input_schema={"type": "object", "properties": {}},
-        output_schema={"type": "object", "properties": {}},
-    )
-    assert agent.id == "user-agent-456"
-    assert agent.version == 2
+    assert agent.id == "test-agent-123"
+    assert agent.graph_version == 1
     assert agent.is_active is True
-    assert agent.name == "User Created Agent"
-    assert agent.description == "An agent created by the user"
-    assert agent.isCreatedByUser is True
-    assert agent.input_schema == {"type": "object", "properties": {}}
-    assert agent.output_schema == {"type": "object", "properties": {}}
+    assert agent.name == "Test Agent"
+    assert agent.description == "Test agent description"
+    assert agent.inputs == {"input1": {"type": "string", "value": "test value"}}
diff --git a/autogpt_platform/backend/backend/server/v2/library/routes.py b/autogpt_platform/backend/backend/server/v2/library/routes.py
deleted file mode 100644
index 7f3e89fe903a..000000000000
--- a/autogpt_platform/backend/backend/server/v2/library/routes.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import logging
-import typing
-
-import autogpt_libs.auth.depends
-import autogpt_libs.auth.middleware
-import fastapi
-
-import backend.data.graph
-import backend.server.v2.library.db
-import backend.server.v2.library.model
-
-logger = logging.getLogger(__name__)
-
-router = fastapi.APIRouter()
-
-
-@router.get(
-    "/agents",
-    tags=["library", "private"],
-    dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
-)
-async def get_library_agents(
-    user_id: typing.Annotated[
-        str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
-    ]
-) -> typing.Sequence[backend.server.v2.library.model.LibraryAgent]:
-    """
-    Get all agents in the user's library, including both created and saved agents.
-    """
-    try:
-        agents = await backend.server.v2.library.db.get_library_agents(user_id)
-        return agents
-    except Exception:
-        logger.exception("Exception occurred whilst getting library agents")
-        raise fastapi.HTTPException(
-            status_code=500, detail="Failed to get library agents"
-        )
-
-
-@router.post(
-    "/agents/{store_listing_version_id}",
-    tags=["library", "private"],
-    dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
-    status_code=201,
-)
-async def add_agent_to_library(
-    store_listing_version_id: str,
-    user_id: typing.Annotated[
-        str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
-    ],
-) -> fastapi.Response:
-    """
-    Add an agent from the store to the user's library.
-
-    Args:
-        store_listing_version_id (str): ID of the store listing version to add
-        user_id (str): ID of the authenticated user
-
-    Returns:
-        fastapi.Response: 201 status code on success
-
-    Raises:
-        HTTPException: If there is an error adding the agent to the library
-    """
-    try:
-        await backend.server.v2.library.db.add_agent_to_library(
-            store_listing_version_id=store_listing_version_id, user_id=user_id
-        )
-        return fastapi.Response(status_code=201)
-    except Exception:
-        logger.exception("Exception occurred whilst adding agent to library")
-        raise fastapi.HTTPException(
-            status_code=500, detail="Failed to add agent to library"
-        )
diff --git a/autogpt_platform/backend/backend/server/v2/library/routes/__init__.py b/autogpt_platform/backend/backend/server/v2/library/routes/__init__.py
new file mode 100644
index 000000000000..f62cbe7ff23c
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/library/routes/__init__.py
@@ -0,0 +1,9 @@
+import fastapi
+
+from .agents import router as agents_router
+from .presets import router as presets_router
+
+router = fastapi.APIRouter()
+
+router.include_router(presets_router)
+router.include_router(agents_router)
diff --git a/autogpt_platform/backend/backend/server/v2/library/routes/agents.py b/autogpt_platform/backend/backend/server/v2/library/routes/agents.py
new file mode 100644
index 000000000000..60f94f519bb7
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/library/routes/agents.py
@@ -0,0 +1,291 @@
+import logging
+from typing import Optional
+
+import autogpt_libs.auth as autogpt_auth_lib
+from fastapi import APIRouter, Body, Depends, HTTPException, Query, status
+from fastapi.responses import Response
+
+import backend.server.v2.library.db as library_db
+import backend.server.v2.library.model as library_model
+import backend.server.v2.store.exceptions as store_exceptions
+from backend.util.exceptions import NotFoundError
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(
+    prefix="/agents",
+    tags=["library", "private"],
+    dependencies=[Depends(autogpt_auth_lib.auth_middleware)],
+)
+
+
+@router.get(
+    "",
+    summary="List Library Agents",
+    responses={
+        500: {"description": "Server error", "content": {"application/json": {}}},
+    },
+)
+async def list_library_agents(
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+    search_term: Optional[str] = Query(
+        None, description="Search term to filter agents"
+    ),
+    sort_by: library_model.LibraryAgentSort = Query(
+        library_model.LibraryAgentSort.UPDATED_AT,
+        description="Criteria to sort results by",
+    ),
+    page: int = Query(
+        1,
+        ge=1,
+        description="Page number to retrieve (must be >= 1)",
+    ),
+    page_size: int = Query(
+        15,
+        ge=1,
+        description="Number of agents per page (must be >= 1)",
+    ),
+) -> library_model.LibraryAgentResponse:
+    """
+    Get all agents in the user's library (both created and saved).
+
+    Args:
+        user_id: ID of the authenticated user.
+        search_term: Optional search term to filter agents by name/description.
+        filter_by: List of filters to apply (favorites, created by user).
+        sort_by: List of sorting criteria (created date, updated date).
+        page: Page number to retrieve.
+        page_size: Number of agents per page.
+
+    Returns:
+        A LibraryAgentResponse containing agents and pagination metadata.
+
+    Raises:
+        HTTPException: If a server/database error occurs.
+    """
+    try:
+        return await library_db.list_library_agents(
+            user_id=user_id,
+            search_term=search_term,
+            sort_by=sort_by,
+            page=page,
+            page_size=page_size,
+        )
+    except Exception as e:
+        logger.error(f"Could not list library agents for user #{user_id}: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=str(e),
+        ) from e
+
+
+@router.get("/{library_agent_id}", summary="Get Library Agent")
+async def get_library_agent(
+    library_agent_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> library_model.LibraryAgent:
+    return await library_db.get_library_agent(id=library_agent_id, user_id=user_id)
+
+
+@router.get("/by-graph/{graph_id}")
+async def get_library_agent_by_graph_id(
+    graph_id: str,
+    version: Optional[int] = Query(default=None),
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> library_model.LibraryAgent:
+    library_agent = await library_db.get_library_agent_by_graph_id(
+        user_id, graph_id, version
+    )
+    if not library_agent:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=f"Library agent for graph #{graph_id} and user #{user_id} not found",
+        )
+    return library_agent
+
+
+@router.get(
+    "/marketplace/{store_listing_version_id}",
+    summary="Get Agent By Store ID",
+    tags=["store, library"],
+)
+async def get_library_agent_by_store_listing_version_id(
+    store_listing_version_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> library_model.LibraryAgent | None:
+    """
+    Get Library Agent from Store Listing Version ID.
+    """
+    try:
+        return await library_db.get_library_agent_by_store_version_id(
+            store_listing_version_id, user_id
+        )
+    except NotFoundError as e:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(e),
+        )
+    except Exception as e:
+        logger.error(f"Could not fetch library agent from store version ID: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=str(e),
+        ) from e
+
+
+@router.post(
+    "",
+    summary="Add Marketplace Agent",
+    status_code=status.HTTP_201_CREATED,
+    responses={
+        201: {"description": "Agent added successfully"},
+        404: {"description": "Store listing version not found"},
+        500: {"description": "Server error"},
+    },
+)
+async def add_marketplace_agent_to_library(
+    store_listing_version_id: str = Body(embed=True),
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> library_model.LibraryAgent:
+    """
+    Add an agent from the marketplace to the user's library.
+
+    Args:
+        store_listing_version_id: ID of the store listing version to add.
+        user_id: ID of the authenticated user.
+
+    Returns:
+        library_model.LibraryAgent: Agent added to the library
+
+    Raises:
+        HTTPException(404): If the listing version is not found.
+        HTTPException(500): If a server/database error occurs.
+    """
+    try:
+        return await library_db.add_store_agent_to_library(
+            store_listing_version_id=store_listing_version_id,
+            user_id=user_id,
+        )
+
+    except store_exceptions.AgentNotFoundError as e:
+        logger.warning(
+            f"Could not find store listing version {store_listing_version_id} "
+            "to add to library"
+        )
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
+    except store_exceptions.DatabaseError as e:
+        logger.error(f"Database error while adding agent to library: {e}", e)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail={"message": str(e), "hint": "Inspect DB logs for details."},
+        ) from e
+    except Exception as e:
+        logger.error(f"Unexpected error while adding agent to library: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail={
+                "message": str(e),
+                "hint": "Check server logs for more information.",
+            },
+        ) from e
+
+
+@router.patch(
+    "/{library_agent_id}",
+    summary="Update Library Agent",
+    responses={
+        200: {"description": "Agent updated successfully"},
+        500: {"description": "Server error"},
+    },
+)
+async def update_library_agent(
+    library_agent_id: str,
+    payload: library_model.LibraryAgentUpdateRequest,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> library_model.LibraryAgent:
+    """
+    Update the library agent with the given fields.
+
+    Args:
+        library_agent_id: ID of the library agent to update.
+        payload: Fields to update (auto_update_version, is_favorite, etc.).
+        user_id: ID of the authenticated user.
+
+    Raises:
+        HTTPException(500): If a server/database error occurs.
+    """
+    try:
+        return await library_db.update_library_agent(
+            library_agent_id=library_agent_id,
+            user_id=user_id,
+            auto_update_version=payload.auto_update_version,
+            is_favorite=payload.is_favorite,
+            is_archived=payload.is_archived,
+        )
+    except NotFoundError as e:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(e),
+        ) from e
+    except store_exceptions.DatabaseError as e:
+        logger.error(f"Database error while updating library agent: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail={"message": str(e), "hint": "Verify DB connection."},
+        ) from e
+    except Exception as e:
+        logger.error(f"Unexpected error while updating library agent: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail={"message": str(e), "hint": "Check server logs."},
+        ) from e
+
+
+@router.delete(
+    "/{library_agent_id}",
+    summary="Delete Library Agent",
+    responses={
+        204: {"description": "Agent deleted successfully"},
+        404: {"description": "Agent not found"},
+        500: {"description": "Server error"},
+    },
+)
+async def delete_library_agent(
+    library_agent_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> Response:
+    """
+    Soft-delete the specified library agent.
+
+    Args:
+        library_agent_id: ID of the library agent to delete.
+        user_id: ID of the authenticated user.
+
+    Returns:
+        204 No Content if successful.
+
+    Raises:
+        HTTPException(404): If the agent does not exist.
+        HTTPException(500): If a server/database error occurs.
+    """
+    try:
+        await library_db.delete_library_agent(
+            library_agent_id=library_agent_id, user_id=user_id
+        )
+        return Response(status_code=status.HTTP_204_NO_CONTENT)
+    except NotFoundError as e:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(e),
+        ) from e
+
+
+@router.post("/{library_agent_id}/fork", summary="Fork Library Agent")
+async def fork_library_agent(
+    library_agent_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> library_model.LibraryAgent:
+    return await library_db.fork_library_agent(
+        library_agent_id=library_agent_id,
+        user_id=user_id,
+    )
diff --git a/autogpt_platform/backend/backend/server/v2/library/routes/presets.py b/autogpt_platform/backend/backend/server/v2/library/routes/presets.py
new file mode 100644
index 000000000000..4a64ec425ee0
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/library/routes/presets.py
@@ -0,0 +1,413 @@
+import logging
+from typing import Any, Optional
+
+import autogpt_libs.auth as autogpt_auth_lib
+from fastapi import APIRouter, Body, Depends, HTTPException, Query, status
+
+import backend.server.v2.library.db as db
+import backend.server.v2.library.model as models
+from backend.data.graph import get_graph
+from backend.data.integrations import get_webhook
+from backend.executor.utils import add_graph_execution, make_node_credentials_input_map
+from backend.integrations.creds_manager import IntegrationCredentialsManager
+from backend.integrations.webhooks import get_webhook_manager
+from backend.integrations.webhooks.utils import setup_webhook_for_block
+from backend.util.exceptions import NotFoundError
+
+logger = logging.getLogger(__name__)
+
+credentials_manager = IntegrationCredentialsManager()
+router = APIRouter(tags=["presets"])
+
+
+@router.get(
+    "/presets",
+    summary="List presets",
+    description="Retrieve a paginated list of presets for the current user.",
+)
+async def list_presets(
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+    page: int = Query(default=1, ge=1),
+    page_size: int = Query(default=10, ge=1),
+    graph_id: Optional[str] = Query(
+        description="Allows to filter presets by a specific agent graph"
+    ),
+) -> models.LibraryAgentPresetResponse:
+    """
+    Retrieve a paginated list of presets for the current user.
+
+    Args:
+        user_id (str): ID of the authenticated user.
+        page (int): Page number for pagination.
+        page_size (int): Number of items per page.
+        graph_id: Allows to filter presets by a specific agent graph.
+
+    Returns:
+        models.LibraryAgentPresetResponse: A response containing the list of presets.
+    """
+    try:
+        return await db.list_presets(
+            user_id=user_id,
+            graph_id=graph_id,
+            page=page,
+            page_size=page_size,
+        )
+    except Exception as e:
+        logger.exception("Failed to list presets for user %s: %s", user_id, e)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
+        )
+
+
+@router.get(
+    "/presets/{preset_id}",
+    summary="Get a specific preset",
+    description="Retrieve details for a specific preset by its ID.",
+)
+async def get_preset(
+    preset_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> models.LibraryAgentPreset:
+    """
+    Retrieve details for a specific preset by its ID.
+
+    Args:
+        preset_id (str): ID of the preset to retrieve.
+        user_id (str): ID of the authenticated user.
+
+    Returns:
+        models.LibraryAgentPreset: The preset details.
+
+    Raises:
+        HTTPException: If the preset is not found or an error occurs.
+    """
+    try:
+        preset = await db.get_preset(user_id, preset_id)
+    except Exception as e:
+        logger.exception(
+            "Error retrieving preset %s for user %s: %s", preset_id, user_id, e
+        )
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
+        )
+
+    if not preset:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=f"Preset #{preset_id} not found",
+        )
+    return preset
+
+
+@router.post(
+    "/presets",
+    summary="Create a new preset",
+    description="Create a new preset for the current user.",
+)
+async def create_preset(
+    preset: (
+        models.LibraryAgentPresetCreatable
+        | models.LibraryAgentPresetCreatableFromGraphExecution
+    ),
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> models.LibraryAgentPreset:
+    """
+    Create a new library agent preset. Automatically corrects node_input format if needed.
+
+    Args:
+        preset (models.LibraryAgentPresetCreatable): The preset data to create.
+        user_id (str): ID of the authenticated user.
+
+    Returns:
+        models.LibraryAgentPreset: The created preset.
+
+    Raises:
+        HTTPException: If an error occurs while creating the preset.
+    """
+    try:
+        if isinstance(preset, models.LibraryAgentPresetCreatable):
+            return await db.create_preset(user_id, preset)
+        else:
+            return await db.create_preset_from_graph_execution(user_id, preset)
+    except NotFoundError as e:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
+    except Exception as e:
+        logger.exception("Preset creation failed for user %s: %s", user_id, e)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
+        )
+
+
+@router.post("/presets/setup-trigger")
+async def setup_trigger(
+    params: models.TriggeredPresetSetupRequest = Body(),
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> models.LibraryAgentPreset:
+    """
+    Sets up a webhook-triggered `LibraryAgentPreset` for a `LibraryAgent`.
+    Returns the correspondingly created `LibraryAgentPreset` with `webhook_id` set.
+    """
+    graph = await get_graph(
+        params.graph_id, version=params.graph_version, user_id=user_id
+    )
+    if not graph:
+        raise HTTPException(
+            status.HTTP_410_GONE,
+            f"Graph #{params.graph_id} not accessible (anymore)",
+        )
+    if not (trigger_node := graph.webhook_input_node):
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=f"Graph #{params.graph_id} does not have a webhook node",
+        )
+
+    trigger_config_with_credentials = {
+        **params.trigger_config,
+        **(
+            make_node_credentials_input_map(graph, params.agent_credentials).get(
+                trigger_node.id
+            )
+            or {}
+        ),
+    }
+
+    new_webhook, feedback = await setup_webhook_for_block(
+        user_id=user_id,
+        trigger_block=trigger_node.block,
+        trigger_config=trigger_config_with_credentials,
+    )
+    if not new_webhook:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=f"Could not set up webhook: {feedback}",
+        )
+
+    new_preset = await db.create_preset(
+        user_id=user_id,
+        preset=models.LibraryAgentPresetCreatable(
+            graph_id=params.graph_id,
+            graph_version=params.graph_version,
+            name=params.name,
+            description=params.description,
+            inputs=trigger_config_with_credentials,
+            credentials=params.agent_credentials,
+            webhook_id=new_webhook.id,
+            is_active=True,
+        ),
+    )
+    return new_preset
+
+
+@router.patch(
+    "/presets/{preset_id}",
+    summary="Update an existing preset",
+    description="Update an existing preset by its ID.",
+)
+async def update_preset(
+    preset_id: str,
+    preset: models.LibraryAgentPresetUpdatable,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> models.LibraryAgentPreset:
+    """
+    Update an existing library agent preset.
+
+    Args:
+        preset_id (str): ID of the preset to update.
+        preset (models.LibraryAgentPresetUpdatable): The preset data to update.
+        user_id (str): ID of the authenticated user.
+
+    Returns:
+        models.LibraryAgentPreset: The updated preset.
+
+    Raises:
+        HTTPException: If an error occurs while updating the preset.
+    """
+    current = await get_preset(preset_id, user_id=user_id)
+    if not current:
+        raise HTTPException(status.HTTP_404_NOT_FOUND, f"Preset #{preset_id} not found")
+
+    graph = await get_graph(
+        current.graph_id,
+        current.graph_version,
+        user_id=user_id,
+    )
+    if not graph:
+        raise HTTPException(
+            status.HTTP_410_GONE,
+            f"Graph #{current.graph_id} not accessible (anymore)",
+        )
+
+    trigger_inputs_updated, new_webhook, feedback = False, None, None
+    if (trigger_node := graph.webhook_input_node) and (
+        preset.inputs is not None and preset.credentials is not None
+    ):
+        trigger_config_with_credentials = {
+            **preset.inputs,
+            **(
+                make_node_credentials_input_map(graph, preset.credentials).get(
+                    trigger_node.id
+                )
+                or {}
+            ),
+        }
+        new_webhook, feedback = await setup_webhook_for_block(
+            user_id=user_id,
+            trigger_block=graph.webhook_input_node.block,
+            trigger_config=trigger_config_with_credentials,
+            for_preset_id=preset_id,
+        )
+        trigger_inputs_updated = True
+        if not new_webhook:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=f"Could not update trigger configuration: {feedback}",
+            )
+
+    try:
+        updated = await db.update_preset(
+            user_id=user_id,
+            preset_id=preset_id,
+            inputs=preset.inputs,
+            credentials=preset.credentials,
+            name=preset.name,
+            description=preset.description,
+            is_active=preset.is_active,
+        )
+    except Exception as e:
+        logger.exception("Preset update failed for user %s: %s", user_id, e)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
+        )
+
+    # Update the webhook as well, if necessary
+    if trigger_inputs_updated:
+        updated = await db.set_preset_webhook(
+            user_id, preset_id, new_webhook.id if new_webhook else None
+        )
+
+        # Clean up webhook if it is now unused
+        if current.webhook_id and (
+            current.webhook_id != (new_webhook.id if new_webhook else None)
+        ):
+            current_webhook = await get_webhook(current.webhook_id)
+            credentials = (
+                await credentials_manager.get(user_id, current_webhook.credentials_id)
+                if current_webhook.credentials_id
+                else None
+            )
+            await get_webhook_manager(
+                current_webhook.provider
+            ).prune_webhook_if_dangling(user_id, current_webhook.id, credentials)
+
+    return updated
+
+
+@router.delete(
+    "/presets/{preset_id}",
+    status_code=status.HTTP_204_NO_CONTENT,
+    summary="Delete a preset",
+    description="Delete an existing preset by its ID.",
+)
+async def delete_preset(
+    preset_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+) -> None:
+    """
+    Delete a preset by its ID. Returns 204 No Content on success.
+
+    Args:
+        preset_id (str): ID of the preset to delete.
+        user_id (str): ID of the authenticated user.
+
+    Raises:
+        HTTPException: If an error occurs while deleting the preset.
+    """
+    preset = await db.get_preset(user_id, preset_id)
+    if not preset:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=f"Preset #{preset_id} not found for user #{user_id}",
+        )
+
+    # Detach and clean up the attached webhook, if any
+    if preset.webhook_id:
+        webhook = await get_webhook(preset.webhook_id)
+        await db.set_preset_webhook(user_id, preset_id, None)
+
+        # Clean up webhook if it is now unused
+        credentials = (
+            await credentials_manager.get(user_id, webhook.credentials_id)
+            if webhook.credentials_id
+            else None
+        )
+        await get_webhook_manager(webhook.provider).prune_webhook_if_dangling(
+            user_id, webhook.id, credentials
+        )
+
+    try:
+        await db.delete_preset(user_id, preset_id)
+    except Exception as e:
+        logger.exception(
+            "Error deleting preset %s for user %s: %s", preset_id, user_id, e
+        )
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=str(e),
+        )
+
+
+@router.post(
+    "/presets/{preset_id}/execute",
+    tags=["presets"],
+    summary="Execute a preset",
+    description="Execute a preset with the given graph and node input for the current user.",
+)
+async def execute_preset(
+    preset_id: str,
+    user_id: str = Depends(autogpt_auth_lib.depends.get_user_id),
+    inputs: dict[str, Any] = Body(..., embed=True, default_factory=dict),
+) -> dict[str, Any]:  # FIXME: add proper return type
+    """
+    Execute a preset given graph parameters, returning the execution ID on success.
+
+    Args:
+        preset_id (str): ID of the preset to execute.
+        user_id (str): ID of the authenticated user.
+        inputs (dict[str, Any]): Optionally, additional input data for the graph execution.
+
+    Returns:
+        {id: graph_exec_id}: A response containing the execution ID.
+
+    Raises:
+        HTTPException: If the preset is not found or an error occurs while executing the preset.
+    """
+    try:
+        preset = await db.get_preset(user_id, preset_id)
+        if not preset:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail=f"Preset #{preset_id} not found",
+            )
+
+        # Merge input overrides with preset inputs
+        merged_node_input = preset.inputs | inputs
+
+        execution = await add_graph_execution(
+            user_id=user_id,
+            graph_id=preset.graph_id,
+            graph_version=preset.graph_version,
+            preset_id=preset_id,
+            inputs=merged_node_input,
+        )
+
+        logger.debug(f"Execution added: {execution} with input: {merged_node_input}")
+
+        return {"id": execution.id}
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.exception("Preset execution failed for user %s: %s", user_id, e)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=str(e),
+        )
diff --git a/autogpt_platform/backend/backend/server/v2/library/routes_test.py b/autogpt_platform/backend/backend/server/v2/library/routes_test.py
index a48b416de437..2681e9dfb79c 100644
--- a/autogpt_platform/backend/backend/server/v2/library/routes_test.py
+++ b/autogpt_platform/backend/backend/server/v2/library/routes_test.py
@@ -1,18 +1,23 @@
-import autogpt_libs.auth.depends
-import autogpt_libs.auth.middleware
-import fastapi
+import datetime
+import json
+
+import autogpt_libs.auth as autogpt_auth_lib
 import fastapi.testclient
+import pytest
 import pytest_mock
+from pytest_snapshot.plugin import Snapshot
 
-import backend.server.v2.library.db
-import backend.server.v2.library.model
-import backend.server.v2.library.routes
+import backend.server.v2.library.model as library_model
+from backend.server.v2.library.routes import router as library_router
+from backend.util.models import Pagination
 
 app = fastapi.FastAPI()
-app.include_router(backend.server.v2.library.routes.router)
+app.include_router(library_router)
 
 client = fastapi.testclient.TestClient(app)
 
+FIXED_NOW = datetime.datetime(2023, 1, 1, 0, 0, 0)
+
 
 def override_auth_middleware():
     """Override auth middleware for testing"""
@@ -24,80 +29,152 @@ def override_get_user_id():
     return "test-user-id"
 
 
-app.dependency_overrides[autogpt_libs.auth.middleware.auth_middleware] = (
-    override_auth_middleware
-)
-app.dependency_overrides[autogpt_libs.auth.depends.get_user_id] = override_get_user_id
-
-
-def test_get_library_agents_success(mocker: pytest_mock.MockFixture):
-    mocked_value = [
-        backend.server.v2.library.model.LibraryAgent(
-            id="test-agent-1",
-            version=1,
-            is_active=True,
-            name="Test Agent 1",
-            description="Test Description 1",
-            isCreatedByUser=True,
-            input_schema={"type": "object", "properties": {}},
-            output_schema={"type": "object", "properties": {}},
-        ),
-        backend.server.v2.library.model.LibraryAgent(
-            id="test-agent-2",
-            version=1,
-            is_active=True,
-            name="Test Agent 2",
-            description="Test Description 2",
-            isCreatedByUser=False,
-            input_schema={"type": "object", "properties": {}},
-            output_schema={"type": "object", "properties": {}},
+app.dependency_overrides[autogpt_auth_lib.auth_middleware] = override_auth_middleware
+app.dependency_overrides[autogpt_auth_lib.depends.get_user_id] = override_get_user_id
+
+
+@pytest.mark.asyncio
+async def test_get_library_agents_success(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    mocked_value = library_model.LibraryAgentResponse(
+        agents=[
+            library_model.LibraryAgent(
+                id="test-agent-1",
+                graph_id="test-agent-1",
+                graph_version=1,
+                name="Test Agent 1",
+                description="Test Description 1",
+                image_url=None,
+                creator_name="Test Creator",
+                creator_image_url="",
+                input_schema={"type": "object", "properties": {}},
+                output_schema={"type": "object", "properties": {}},
+                credentials_input_schema={"type": "object", "properties": {}},
+                has_external_trigger=False,
+                status=library_model.LibraryAgentStatus.COMPLETED,
+                new_output=False,
+                can_access_graph=True,
+                is_latest_version=True,
+                updated_at=datetime.datetime(2023, 1, 1, 0, 0, 0),
+            ),
+            library_model.LibraryAgent(
+                id="test-agent-2",
+                graph_id="test-agent-2",
+                graph_version=1,
+                name="Test Agent 2",
+                description="Test Description 2",
+                image_url=None,
+                creator_name="Test Creator",
+                creator_image_url="",
+                input_schema={"type": "object", "properties": {}},
+                output_schema={"type": "object", "properties": {}},
+                credentials_input_schema={"type": "object", "properties": {}},
+                has_external_trigger=False,
+                status=library_model.LibraryAgentStatus.COMPLETED,
+                new_output=False,
+                can_access_graph=False,
+                is_latest_version=True,
+                updated_at=datetime.datetime(2023, 1, 1, 0, 0, 0),
+            ),
+        ],
+        pagination=Pagination(
+            total_items=2, total_pages=1, current_page=1, page_size=50
         ),
-    ]
-    mock_db_call = mocker.patch("backend.server.v2.library.db.get_library_agents")
+    )
+    mock_db_call = mocker.patch("backend.server.v2.library.db.list_library_agents")
     mock_db_call.return_value = mocked_value
 
-    response = client.get("/agents")
+    response = client.get("/agents?search_term=test")
     assert response.status_code == 200
 
-    data = [
-        backend.server.v2.library.model.LibraryAgent.model_validate(agent)
-        for agent in response.json()
-    ]
-    assert len(data) == 2
-    assert data[0].id == "test-agent-1"
-    assert data[0].isCreatedByUser is True
-    assert data[1].id == "test-agent-2"
-    assert data[1].isCreatedByUser is False
-    mock_db_call.assert_called_once_with("test-user-id")
+    data = library_model.LibraryAgentResponse.model_validate(response.json())
+    assert len(data.agents) == 2
+    assert data.agents[0].graph_id == "test-agent-1"
+    assert data.agents[0].can_access_graph is True
+    assert data.agents[1].graph_id == "test-agent-2"
+    assert data.agents[1].can_access_graph is False
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "lib_agts_search")
+
+    mock_db_call.assert_called_once_with(
+        user_id="test-user-id",
+        search_term="test",
+        sort_by=library_model.LibraryAgentSort.UPDATED_AT,
+        page=1,
+        page_size=15,
+    )
 
 
 def test_get_library_agents_error(mocker: pytest_mock.MockFixture):
-    mock_db_call = mocker.patch("backend.server.v2.library.db.get_library_agents")
+    mock_db_call = mocker.patch("backend.server.v2.library.db.list_library_agents")
     mock_db_call.side_effect = Exception("Test error")
 
-    response = client.get("/agents")
+    response = client.get("/agents?search_term=test")
     assert response.status_code == 500
-    mock_db_call.assert_called_once_with("test-user-id")
+    mock_db_call.assert_called_once_with(
+        user_id="test-user-id",
+        search_term="test",
+        sort_by=library_model.LibraryAgentSort.UPDATED_AT,
+        page=1,
+        page_size=15,
+    )
 
 
 def test_add_agent_to_library_success(mocker: pytest_mock.MockFixture):
-    mock_db_call = mocker.patch("backend.server.v2.library.db.add_agent_to_library")
-    mock_db_call.return_value = None
+    mock_library_agent = library_model.LibraryAgent(
+        id="test-library-agent-id",
+        graph_id="test-agent-1",
+        graph_version=1,
+        name="Test Agent 1",
+        description="Test Description 1",
+        image_url=None,
+        creator_name="Test Creator",
+        creator_image_url="",
+        input_schema={"type": "object", "properties": {}},
+        output_schema={"type": "object", "properties": {}},
+        credentials_input_schema={"type": "object", "properties": {}},
+        has_external_trigger=False,
+        status=library_model.LibraryAgentStatus.COMPLETED,
+        new_output=False,
+        can_access_graph=True,
+        is_latest_version=True,
+        updated_at=FIXED_NOW,
+    )
+
+    mock_db_call = mocker.patch(
+        "backend.server.v2.library.db.add_store_agent_to_library"
+    )
+    mock_db_call.return_value = mock_library_agent
 
-    response = client.post("/agents/test-version-id")
+    response = client.post(
+        "/agents", json={"store_listing_version_id": "test-version-id"}
+    )
     assert response.status_code == 201
+
+    # Verify the response contains the library agent data
+    data = library_model.LibraryAgent.model_validate(response.json())
+    assert data.id == "test-library-agent-id"
+    assert data.graph_id == "test-agent-1"
+
     mock_db_call.assert_called_once_with(
         store_listing_version_id="test-version-id", user_id="test-user-id"
     )
 
 
 def test_add_agent_to_library_error(mocker: pytest_mock.MockFixture):
-    mock_db_call = mocker.patch("backend.server.v2.library.db.add_agent_to_library")
+    mock_db_call = mocker.patch(
+        "backend.server.v2.library.db.add_store_agent_to_library"
+    )
     mock_db_call.side_effect = Exception("Test error")
 
-    response = client.post("/agents/test-version-id")
+    response = client.post(
+        "/agents", json={"store_listing_version_id": "test-version-id"}
+    )
     assert response.status_code == 500
-    assert response.json()["detail"] == "Failed to add agent to library"
+    assert "detail" in response.json()  # Verify error response structure
     mock_db_call.assert_called_once_with(
         store_listing_version_id="test-version-id", user_id="test-user-id"
     )
diff --git a/autogpt_platform/backend/backend/server/v2/otto/models.py b/autogpt_platform/backend/backend/server/v2/otto/models.py
new file mode 100644
index 000000000000..6f50a8fea4d8
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/otto/models.py
@@ -0,0 +1,34 @@
+from typing import Any, Dict, Optional
+
+from pydantic import BaseModel
+
+
+class Document(BaseModel):
+    url: str
+    relevance_score: float
+
+
+class ApiResponse(BaseModel):
+    answer: str
+    documents: list[Document]
+    success: bool
+
+
+class GraphData(BaseModel):
+    nodes: list[Dict[str, Any]]
+    edges: list[Dict[str, Any]]
+    graph_name: Optional[str] = None
+    graph_description: Optional[str] = None
+
+
+class Message(BaseModel):
+    query: str
+    response: str
+
+
+class ChatRequest(BaseModel):
+    query: str
+    conversation_history: list[Message]
+    message_id: str
+    include_graph_data: bool = False
+    graph_id: Optional[str] = None
diff --git a/autogpt_platform/backend/backend/server/v2/otto/routes.py b/autogpt_platform/backend/backend/server/v2/otto/routes.py
new file mode 100644
index 000000000000..0e2231f4bc25
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/otto/routes.py
@@ -0,0 +1,37 @@
+import logging
+
+from autogpt_libs.auth.middleware import auth_middleware
+from fastapi import APIRouter, Depends, HTTPException
+
+from backend.server.utils import get_user_id
+
+from .models import ApiResponse, ChatRequest
+from .service import OttoService
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+@router.post(
+    "/ask",
+    response_model=ApiResponse,
+    dependencies=[Depends(auth_middleware)],
+    summary="Proxy Otto Chat Request",
+)
+async def proxy_otto_request(
+    request: ChatRequest, user_id: str = Depends(get_user_id)
+) -> ApiResponse:
+    """
+    Proxy requests to Otto API while adding necessary security headers and logging.
+    Requires an authenticated user.
+    """
+    logger.debug("Forwarding request to Otto for user %s", user_id)
+    try:
+        return await OttoService.ask(request, user_id)
+    except Exception as e:
+        logger.exception("Otto request failed for user %s: %s", user_id, e)
+        raise HTTPException(
+            status_code=502,
+            detail={"message": str(e), "hint": "Check Otto service status."},
+        )
diff --git a/autogpt_platform/backend/backend/server/v2/otto/routes_test.py b/autogpt_platform/backend/backend/server/v2/otto/routes_test.py
new file mode 100644
index 000000000000..861ee7a4f6ac
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/otto/routes_test.py
@@ -0,0 +1,271 @@
+import json
+
+import autogpt_libs.auth.depends
+import autogpt_libs.auth.middleware
+import fastapi
+import fastapi.testclient
+import pytest_mock
+from pytest_snapshot.plugin import Snapshot
+
+import backend.server.v2.otto.models as otto_models
+import backend.server.v2.otto.routes as otto_routes
+from backend.server.utils import get_user_id
+from backend.server.v2.otto.service import OttoService
+
+app = fastapi.FastAPI()
+app.include_router(otto_routes.router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def override_auth_middleware():
+    """Override auth middleware for testing"""
+    return {"sub": "test-user-id"}
+
+
+def override_get_user_id():
+    """Override get_user_id for testing"""
+    return "test-user-id"
+
+
+app.dependency_overrides[autogpt_libs.auth.middleware.auth_middleware] = (
+    override_auth_middleware
+)
+app.dependency_overrides[get_user_id] = override_get_user_id
+
+
+def test_ask_otto_success(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test successful Otto API request"""
+    # Mock the OttoService.ask method
+    mock_response = otto_models.ApiResponse(
+        answer="This is Otto's response to your query.",
+        documents=[
+            otto_models.Document(
+                url="https://example.com/doc1",
+                relevance_score=0.95,
+            ),
+            otto_models.Document(
+                url="https://example.com/doc2",
+                relevance_score=0.87,
+            ),
+        ],
+        success=True,
+    )
+
+    mocker.patch.object(
+        OttoService,
+        "ask",
+        return_value=mock_response,
+    )
+
+    request_data = {
+        "query": "How do I create an agent?",
+        "conversation_history": [
+            {
+                "query": "What is AutoGPT?",
+                "response": "AutoGPT is an AI agent platform.",
+            }
+        ],
+        "message_id": "msg_123",
+        "include_graph_data": False,
+    }
+
+    response = client.post("/ask", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["success"] is True
+    assert response_data["answer"] == "This is Otto's response to your query."
+    assert len(response_data["documents"]) == 2
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "otto_ok",
+    )
+
+
+def test_ask_otto_with_graph_data(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test Otto API request with graph data included"""
+    # Mock the OttoService.ask method
+    mock_response = otto_models.ApiResponse(
+        answer="Here's information about your graph.",
+        documents=[
+            otto_models.Document(
+                url="https://example.com/graph-doc",
+                relevance_score=0.92,
+            ),
+        ],
+        success=True,
+    )
+
+    mocker.patch.object(
+        OttoService,
+        "ask",
+        return_value=mock_response,
+    )
+
+    request_data = {
+        "query": "Tell me about my graph",
+        "conversation_history": [],
+        "message_id": "msg_456",
+        "include_graph_data": True,
+        "graph_id": "graph_123",
+    }
+
+    response = client.post("/ask", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["success"] is True
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "otto_grph",
+    )
+
+
+def test_ask_otto_empty_conversation(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test Otto API request with empty conversation history"""
+    # Mock the OttoService.ask method
+    mock_response = otto_models.ApiResponse(
+        answer="Welcome! How can I help you?",
+        documents=[],
+        success=True,
+    )
+
+    mocker.patch.object(
+        OttoService,
+        "ask",
+        return_value=mock_response,
+    )
+
+    request_data = {
+        "query": "Hello",
+        "conversation_history": [],
+        "message_id": "msg_789",
+        "include_graph_data": False,
+    }
+
+    response = client.post("/ask", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["success"] is True
+    assert len(response_data["documents"]) == 0
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "otto_empty",
+    )
+
+
+def test_ask_otto_service_error(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
+    """Test Otto API request when service returns error"""
+    # Mock the OttoService.ask method to return failure
+    mock_response = otto_models.ApiResponse(
+        answer="An error occurred while processing your request.",
+        documents=[],
+        success=False,
+    )
+
+    mocker.patch.object(
+        OttoService,
+        "ask",
+        return_value=mock_response,
+    )
+
+    request_data = {
+        "query": "Test query",
+        "conversation_history": [],
+        "message_id": "msg_error",
+        "include_graph_data": False,
+    }
+
+    response = client.post("/ask", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["success"] is False
+
+    # Snapshot test the response
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(
+        json.dumps(response_data, indent=2, sort_keys=True),
+        "otto_err",
+    )
+
+
+def test_ask_otto_invalid_request() -> None:
+    """Test Otto API with invalid request data"""
+    # Missing required fields
+    response = client.post("/ask", json={})
+    assert response.status_code == 422
+
+    # Invalid conversation history format
+    response = client.post(
+        "/ask",
+        json={
+            "query": "Test",
+            "conversation_history": "not a list",
+            "message_id": "123",
+        },
+    )
+    assert response.status_code == 422
+
+    # Missing message_id
+    response = client.post(
+        "/ask",
+        json={
+            "query": "Test",
+            "conversation_history": [],
+        },
+    )
+    assert response.status_code == 422
+
+
+def test_ask_otto_unauthenticated(mocker: pytest_mock.MockFixture) -> None:
+    """Test Otto API request without authentication"""
+    # Remove the auth override to test unauthenticated access
+    app.dependency_overrides.clear()
+
+    # Mock auth_middleware to raise an exception
+    mocker.patch(
+        "autogpt_libs.auth.middleware.auth_middleware",
+        side_effect=fastapi.HTTPException(status_code=401, detail="Unauthorized"),
+    )
+
+    request_data = {
+        "query": "Test",
+        "conversation_history": [],
+        "message_id": "123",
+    }
+
+    response = client.post("/ask", json=request_data)
+    # When auth is disabled and Otto API URL is not configured, we get 502 (wrapped from 503)
+    assert response.status_code == 502
+
+    # Restore the override
+    app.dependency_overrides[autogpt_libs.auth.middleware.auth_middleware] = (
+        override_auth_middleware
+    )
+    app.dependency_overrides[autogpt_libs.auth.depends.get_user_id] = (
+        override_get_user_id
+    )
diff --git a/autogpt_platform/backend/backend/server/v2/otto/service.py b/autogpt_platform/backend/backend/server/v2/otto/service.py
new file mode 100644
index 000000000000..8efa4f642fbc
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/otto/service.py
@@ -0,0 +1,138 @@
+import asyncio
+import logging
+from typing import Optional
+
+import aiohttp
+from fastapi import HTTPException
+
+from backend.data import graph as graph_db
+from backend.data.block import get_block
+from backend.util.settings import Settings
+
+from .models import ApiResponse, ChatRequest, GraphData
+
+logger = logging.getLogger(__name__)
+settings = Settings()
+
+OTTO_API_URL = settings.config.otto_api_url
+
+
+class OttoService:
+    @staticmethod
+    async def _fetch_graph_data(
+        request: ChatRequest, user_id: str
+    ) -> Optional[GraphData]:
+        """Fetch graph data if requested and available."""
+        if not (request.include_graph_data and request.graph_id):
+            return None
+
+        try:
+            graph = await graph_db.get_graph(request.graph_id, user_id=user_id)
+            if not graph:
+                return None
+
+            nodes_data = []
+            for node in graph.nodes:
+                block = get_block(node.block_id)
+                if not block:
+                    continue
+
+                node_data = {
+                    "id": node.id,
+                    "block_id": node.block_id,
+                    "block_name": block.name,
+                    "block_type": (
+                        block.block_type.value if hasattr(block, "block_type") else None
+                    ),
+                    "data": {
+                        k: v
+                        for k, v in (node.input_default or {}).items()
+                        if k not in ["credentials"]  # Exclude sensitive data
+                    },
+                }
+                nodes_data.append(node_data)
+
+            # Create a GraphData object with the required fields
+            return GraphData(
+                nodes=nodes_data,
+                edges=[],
+                graph_name=graph.name,
+                graph_description=graph.description,
+            )
+        except Exception as e:
+            logger.error(f"Failed to fetch graph data: {str(e)}")
+            return None
+
+    @staticmethod
+    async def ask(request: ChatRequest, user_id: str) -> ApiResponse:
+        """
+        Send request to Otto API and handle the response.
+        """
+        # Check if Otto API URL is configured
+        if not OTTO_API_URL:
+            logger.error("Otto API URL is not configured")
+            raise HTTPException(
+                status_code=503, detail="Otto service is not configured"
+            )
+
+        try:
+            async with aiohttp.ClientSession() as session:
+                headers = {
+                    "Content-Type": "application/json",
+                    "Accept": "application/json",
+                }
+
+                # If graph data is requested, fetch it
+                graph_data = await OttoService._fetch_graph_data(request, user_id)
+
+                # Prepare the payload with optional graph data
+                payload = {
+                    "query": request.query,
+                    "conversation_history": [
+                        msg.model_dump() for msg in request.conversation_history
+                    ],
+                    "user_id": user_id,
+                    "message_id": request.message_id,
+                }
+
+                if graph_data:
+                    payload["graph_data"] = graph_data.model_dump()
+
+                logger.info(f"Sending request to Otto API for user {user_id}")
+                logger.debug(f"Request payload: {payload}")
+
+                async with session.post(
+                    OTTO_API_URL,
+                    json=payload,
+                    headers=headers,
+                    timeout=aiohttp.ClientTimeout(total=60),
+                ) as response:
+                    if response.status != 200:
+                        error_text = await response.text()
+                        logger.error(f"Otto API error: {error_text}")
+                        raise HTTPException(
+                            status_code=response.status,
+                            detail=f"Otto API request failed: {error_text}",
+                        )
+
+                    data = await response.json()
+                    logger.info(
+                        f"Successfully received response from Otto API for user {user_id}"
+                    )
+                    return ApiResponse(**data)
+
+        except aiohttp.ClientError as e:
+            logger.error(f"Connection error to Otto API: {str(e)}")
+            raise HTTPException(
+                status_code=503, detail="Failed to connect to Otto service"
+            )
+        except asyncio.TimeoutError:
+            logger.error("Timeout error connecting to Otto API after 60 seconds")
+            raise HTTPException(
+                status_code=504, detail="Request to Otto service timed out"
+            )
+        except Exception as e:
+            logger.error(f"Unexpected error in Otto API proxy: {str(e)}")
+            raise HTTPException(
+                status_code=500, detail="Internal server error in Otto proxy"
+            )
diff --git a/autogpt_platform/backend/backend/server/v2/store/db.py b/autogpt_platform/backend/backend/server/v2/store/db.py
index f8ffad0cf376..d50bf5c90968 100644
--- a/autogpt_platform/backend/backend/server/v2/store/db.py
+++ b/autogpt_platform/backend/backend/server/v2/store/db.py
@@ -1,7 +1,7 @@
 import logging
-import random
-from datetime import datetime
+from datetime import datetime, timezone
 
+import fastapi
 import prisma.enums
 import prisma.errors
 import prisma.models
@@ -9,51 +9,72 @@
 
 import backend.server.v2.store.exceptions
 import backend.server.v2.store.model
+from backend.data.graph import (
+    GraphMeta,
+    GraphModel,
+    get_graph,
+    get_graph_as_admin,
+    get_sub_graphs,
+)
+from backend.data.includes import AGENT_GRAPH_INCLUDE
+from backend.data.notifications import (
+    AgentApprovalData,
+    AgentRejectionData,
+    NotificationEventModel,
+)
+from backend.notifications.notifications import queue_notification_async
+from backend.util.settings import Settings
 
 logger = logging.getLogger(__name__)
+settings = Settings()
+
+
+# Constants for default admin values
+DEFAULT_ADMIN_NAME = "AutoGPT Admin"
+DEFAULT_ADMIN_EMAIL = "admin@autogpt.co"
+
+
+def sanitize_query(query: str | None) -> str | None:
+    if query is None:
+        return query
+    query = query.strip()[:100]
+    return (
+        query.replace("\\", "\\\\")
+        .replace("%", "\\%")
+        .replace("_", "\\_")
+        .replace("[", "\\[")
+        .replace("]", "\\]")
+        .replace("'", "\\'")
+        .replace('"', '\\"')
+        .replace(";", "\\;")
+        .replace("--", "\\--")
+        .replace("/*", "\\/*")
+        .replace("*/", "\\*/")
+    )
 
 
 async def get_store_agents(
     featured: bool = False,
-    creator: str | None = None,
+    creators: list[str] | None = None,
     sorted_by: str | None = None,
     search_query: str | None = None,
     category: str | None = None,
     page: int = 1,
     page_size: int = 20,
 ) -> backend.server.v2.store.model.StoreAgentsResponse:
+    """
+    Get PUBLIC store agents from the StoreAgent view
+    """
     logger.debug(
-        f"Getting store agents. featured={featured}, creator={creator}, sorted_by={sorted_by}, search={search_query}, category={category}, page={page}"
+        f"Getting store agents. featured={featured}, creators={creators}, sorted_by={sorted_by}, search={search_query}, category={category}, page={page}"
     )
-    sanitized_query = None
-    # Sanitize and validate search query by escaping special characters
-    if search_query is not None:
-        sanitized_query = search_query.strip()
-        if not sanitized_query or len(sanitized_query) > 100:  # Reasonable length limit
-            raise backend.server.v2.store.exceptions.DatabaseError(
-                "Invalid search query"
-            )
-
-        # Escape special SQL characters
-        sanitized_query = (
-            sanitized_query.replace("\\", "\\\\")
-            .replace("%", "\\%")
-            .replace("_", "\\_")
-            .replace("[", "\\[")
-            .replace("]", "\\]")
-            .replace("'", "\\'")
-            .replace('"', '\\"')
-            .replace(";", "\\;")
-            .replace("--", "\\--")
-            .replace("/*", "\\/*")
-            .replace("*/", "\\*/")
-        )
+    sanitized_query = sanitize_query(search_query)
 
     where_clause = {}
     if featured:
         where_clause["featured"] = featured
-    if creator:
-        where_clause["creator_username"] = creator
+    if creators:
+        where_clause["creator_username"] = {"in": creators}
     if category:
         where_clause["categories"] = {"has": category}
 
@@ -84,20 +105,30 @@ async def get_store_agents(
         )
         total_pages = (total + page_size - 1) // page_size
 
-        store_agents = [
-            backend.server.v2.store.model.StoreAgent(
-                slug=agent.slug,
-                agent_name=agent.agent_name,
-                agent_image=agent.agent_image[0] if agent.agent_image else "",
-                creator=agent.creator_username,
-                creator_avatar=agent.creator_avatar,
-                sub_heading=agent.sub_heading,
-                description=agent.description,
-                runs=agent.runs,
-                rating=agent.rating,
-            )
-            for agent in agents
-        ]
+        store_agents: list[backend.server.v2.store.model.StoreAgent] = []
+        for agent in agents:
+            try:
+                # Create the StoreAgent object safely
+                store_agent = backend.server.v2.store.model.StoreAgent(
+                    slug=agent.slug,
+                    agent_name=agent.agent_name,
+                    agent_image=agent.agent_image[0] if agent.agent_image else "",
+                    creator=agent.creator_username or "Needs Profile",
+                    creator_avatar=agent.creator_avatar or "",
+                    sub_heading=agent.sub_heading,
+                    description=agent.description,
+                    runs=agent.runs,
+                    rating=agent.rating,
+                )
+                # Add to the list only if creation was successful
+                store_agents.append(store_agent)
+            except Exception as e:
+                # Skip this agent if there was an error
+                # You could log the error here if needed
+                logger.error(
+                    f"Error parsing Store agent when getting store agents from db: {e}"
+                )
+                continue
 
         logger.debug(f"Found {len(store_agents)} agents")
         return backend.server.v2.store.model.StoreAgentsResponse(
@@ -110,7 +141,7 @@ async def get_store_agents(
             ),
         )
     except Exception as e:
-        logger.error(f"Error getting store agents: {str(e)}")
+        logger.error(f"Error getting store agents: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to fetch store agents"
         ) from e
@@ -119,6 +150,7 @@ async def get_store_agents(
 async def get_store_agent_details(
     username: str, agent_name: str
 ) -> backend.server.v2.store.model.StoreAgentDetails:
+    """Get PUBLIC store agent details from the StoreAgent view"""
     logger.debug(f"Getting store agent details for {username}/{agent_name}")
 
     try:
@@ -132,6 +164,25 @@ async def get_store_agent_details(
                 f"Agent {username}/{agent_name} not found"
             )
 
+        profile = await prisma.models.Profile.prisma().find_first(
+            where={"username": username}
+        )
+        user_id = profile.userId if profile else None
+
+        # Retrieve StoreListing to get active_version_id and has_approved_version
+        store_listing = await prisma.models.StoreListing.prisma().find_first(
+            where=prisma.types.StoreListingWhereInput(
+                slug=agent_name,
+                owningUserId=user_id or "",
+            ),
+            include={"ActiveVersion": True},
+        )
+
+        active_version_id = store_listing.activeVersionId if store_listing else None
+        has_approved_version = (
+            store_listing.hasApprovedVersion if store_listing else False
+        )
+
         logger.debug(f"Found agent details for {username}/{agent_name}")
         return backend.server.v2.store.model.StoreAgentDetails(
             store_listing_version_id=agent.storeListingVersionId,
@@ -148,11 +199,84 @@ async def get_store_agent_details(
             rating=agent.rating,
             versions=agent.versions,
             last_updated=agent.updated_at,
+            active_version_id=active_version_id,
+            has_approved_version=has_approved_version,
         )
     except backend.server.v2.store.exceptions.AgentNotFoundError:
         raise
     except Exception as e:
-        logger.error(f"Error getting store agent details: {str(e)}")
+        logger.error(f"Error getting store agent details: {e}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to fetch agent details"
+        ) from e
+
+
+async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
+    try:
+        # Get avaialble, non-deleted store listing version
+        store_listing_version = (
+            await prisma.models.StoreListingVersion.prisma().find_first(
+                where={
+                    "id": store_listing_version_id,
+                    "isAvailable": True,
+                    "isDeleted": False,
+                },
+                include={"AgentGraph": {"include": {"Nodes": True}}},
+            )
+        )
+
+        if not store_listing_version or not store_listing_version.AgentGraph:
+            raise fastapi.HTTPException(
+                status_code=404,
+                detail=f"Store listing version {store_listing_version_id} not found",
+            )
+
+        return GraphModel.from_db(store_listing_version.AgentGraph).meta()
+
+    except Exception as e:
+        logger.error(f"Error getting agent: {e}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to fetch agent"
+        ) from e
+
+
+async def get_store_agent_by_version_id(
+    store_listing_version_id: str,
+) -> backend.server.v2.store.model.StoreAgentDetails:
+    logger.debug(f"Getting store agent details for {store_listing_version_id}")
+
+    try:
+        agent = await prisma.models.StoreAgent.prisma().find_first(
+            where={"storeListingVersionId": store_listing_version_id}
+        )
+
+        if not agent:
+            logger.warning(f"Agent not found: {store_listing_version_id}")
+            raise backend.server.v2.store.exceptions.AgentNotFoundError(
+                f"Agent {store_listing_version_id} not found"
+            )
+
+        logger.debug(f"Found agent details for {store_listing_version_id}")
+        return backend.server.v2.store.model.StoreAgentDetails(
+            store_listing_version_id=agent.storeListingVersionId,
+            slug=agent.slug,
+            agent_name=agent.agent_name,
+            agent_video=agent.agent_video or "",
+            agent_image=agent.agent_image,
+            creator=agent.creator_username,
+            creator_avatar=agent.creator_avatar,
+            sub_heading=agent.sub_heading,
+            description=agent.description,
+            categories=agent.categories,
+            runs=agent.runs,
+            rating=agent.rating,
+            versions=agent.versions,
+            last_updated=agent.updated_at,
+        )
+    except backend.server.v2.store.exceptions.AgentNotFoundError:
+        raise
+    except Exception as e:
+        logger.error(f"Error getting store agent details: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to fetch agent details"
         ) from e
@@ -165,6 +289,7 @@ async def get_store_creators(
     page: int = 1,
     page_size: int = 20,
 ) -> backend.server.v2.store.model.CreatorsResponse:
+    """Get PUBLIC store creators from the Creator view"""
     logger.debug(
         f"Getting store creators. featured={featured}, search={search_query}, sorted_by={sorted_by}, page={page}"
     )
@@ -266,7 +391,7 @@ async def get_store_creators(
             ),
         )
     except Exception as e:
-        logger.error(f"Error getting store creators: {str(e)}")
+        logger.error(f"Error getting store creators: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to fetch store creators"
         ) from e
@@ -303,7 +428,7 @@ async def get_store_creator_details(
     except backend.server.v2.store.exceptions.CreatorNotFoundError:
         raise
     except Exception as e:
-        logger.error(f"Error getting store creator details: {str(e)}")
+        logger.error(f"Error getting store creator details: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to fetch creator details"
         ) from e
@@ -312,6 +437,7 @@ async def get_store_creator_details(
 async def get_store_submissions(
     user_id: str, page: int = 1, page_size: int = 20
 ) -> backend.server.v2.store.model.StoreSubmissionsResponse:
+    """Get store submissions for the authenticated user -- not an admin"""
     logger.debug(f"Getting store submissions for user {user_id}, page={page}")
 
     try:
@@ -321,7 +447,10 @@ async def get_store_submissions(
         where = prisma.types.StoreSubmissionWhereInput(user_id=user_id)
         # Query submissions from database
         submissions = await prisma.models.StoreSubmission.prisma().find_many(
-            where=where, skip=skip, take=page_size, order=[{"date_submitted": "desc"}]
+            where=where,
+            skip=skip,
+            take=page_size,
+            order=[{"date_submitted": "desc"}],
         )
 
         # Get total count for pagination
@@ -330,8 +459,9 @@ async def get_store_submissions(
         total_pages = (total + page_size - 1) // page_size
 
         # Convert to response models
-        submission_models = [
-            backend.server.v2.store.model.StoreSubmission(
+        submission_models = []
+        for sub in submissions:
+            submission_model = backend.server.v2.store.model.StoreSubmission(
                 agent_id=sub.agent_id,
                 agent_version=sub.agent_version,
                 name=sub.name,
@@ -339,13 +469,20 @@ async def get_store_submissions(
                 slug=sub.slug,
                 description=sub.description,
                 image_urls=sub.image_urls or [],
-                date_submitted=sub.date_submitted or datetime.now(),
+                date_submitted=sub.date_submitted or datetime.now(tz=timezone.utc),
                 status=sub.status,
                 runs=sub.runs or 0,
                 rating=sub.rating or 0.0,
+                store_listing_version_id=sub.store_listing_version_id,
+                reviewer_id=sub.reviewer_id,
+                review_comments=sub.review_comments,
+                # internal_comments omitted for regular users
+                reviewed_at=sub.reviewed_at,
+                changes_summary=sub.changes_summary,
+                video_url=sub.video_url,
+                categories=sub.categories,
             )
-            for sub in submissions
-        ]
+            submission_models.append(submission_model)
 
         logger.debug(f"Found {len(submission_models)} submissions")
         return backend.server.v2.store.model.StoreSubmissionsResponse(
@@ -359,7 +496,7 @@ async def get_store_submissions(
         )
 
     except Exception as e:
-        logger.error(f"Error fetching store submissions: {str(e)}")
+        logger.error(f"Error fetching store submissions: {e}")
         # Return empty response rather than exposing internal errors
         return backend.server.v2.store.model.StoreSubmissionsResponse(
             submissions=[],
@@ -377,7 +514,7 @@ async def delete_store_submission(
     submission_id: str,
 ) -> bool:
     """
-    Delete a store listing submission.
+    Delete a store listing submission as the submitting user.
 
     Args:
         user_id: ID of the authenticated user
@@ -391,7 +528,7 @@ async def delete_store_submission(
     try:
         # Verify the submission belongs to this user
         submission = await prisma.models.StoreListing.prisma().find_first(
-            where={"agentId": submission_id, "owningUserId": user_id}
+            where={"agentGraphId": submission_id, "owningUserId": user_id}
         )
 
         if not submission:
@@ -401,9 +538,7 @@ async def delete_store_submission(
             )
 
         # Delete the submission
-        await prisma.models.StoreListing.prisma().delete(
-            where=prisma.types.StoreListingWhereUniqueInput(id=submission.id)
-        )
+        await prisma.models.StoreListing.prisma().delete(where={"id": submission.id})
 
         logger.debug(
             f"Successfully deleted submission {submission_id} for user {user_id}"
@@ -411,7 +546,7 @@ async def delete_store_submission(
         return True
 
     except Exception as e:
-        logger.error(f"Error deleting store submission: {str(e)}")
+        logger.error(f"Error deleting store submission: {e}")
         return False
 
 
@@ -426,9 +561,10 @@ async def create_store_submission(
     description: str = "",
     sub_heading: str = "",
     categories: list[str] = [],
+    changes_summary: str | None = "Initial Submission",
 ) -> backend.server.v2.store.model.StoreSubmission:
     """
-    Create a new store listing submission.
+    Create the first (and only) store listing and thus submission as a normal user
 
     Args:
         user_id: ID of the authenticated user submitting the listing
@@ -439,7 +575,9 @@ async def create_store_submission(
         video_url: Optional URL to video demo
         image_urls: List of image URLs for the listing
         description: Description of the agent
+        sub_heading: Optional sub-heading for the agent
         categories: List of categories for the agent
+        changes_summary: Summary of changes made in this submission
 
     Returns:
         StoreSubmission: The created store submission
@@ -449,6 +587,11 @@ async def create_store_submission(
     )
 
     try:
+        # Sanitize slug to only allow letters and hyphens
+        slug = "".join(
+            c if c.isalpha() or c == "-" or c.isnumeric() else "" for c in slug
+        ).lower()
+
         # First verify the agent belongs to this user
         agent = await prisma.models.AgentGraph.prisma().find_first(
             where=prisma.types.AgentGraphWhereInput(
@@ -464,38 +607,67 @@ async def create_store_submission(
                 f"Agent not found for this user. User ID: {user_id}, Agent ID: {agent_id}, Version: {agent_version}"
             )
 
-        listing = await prisma.models.StoreListing.prisma().find_first(
+        # Check if listing already exists for this agent
+        existing_listing = await prisma.models.StoreListing.prisma().find_first(
             where=prisma.types.StoreListingWhereInput(
-                agentId=agent_id, owningUserId=user_id
+                agentGraphId=agent_id, owningUserId=user_id
             )
         )
-        if listing is not None:
-            logger.warning(f"Listing already exists for agent {agent_id}")
-            raise backend.server.v2.store.exceptions.ListingExistsError(
-                "Listing already exists for this agent"
+
+        if existing_listing is not None:
+            logger.info(
+                f"Listing already exists for agent {agent_id}, creating new version instead"
+            )
+
+            # Delegate to create_store_version which already handles this case correctly
+            return await create_store_version(
+                user_id=user_id,
+                agent_id=agent_id,
+                agent_version=agent_version,
+                store_listing_id=existing_listing.id,
+                name=name,
+                video_url=video_url,
+                image_urls=image_urls,
+                description=description,
+                sub_heading=sub_heading,
+                categories=categories,
+                changes_summary=changes_summary,
             )
 
-        # Create the store listing
+        # If no existing listing, create a new one
+        data = prisma.types.StoreListingCreateInput(
+            slug=slug,
+            agentGraphId=agent_id,
+            agentGraphVersion=agent_version,
+            owningUserId=user_id,
+            createdAt=datetime.now(tz=timezone.utc),
+            Versions={
+                "create": [
+                    prisma.types.StoreListingVersionCreateInput(
+                        agentGraphId=agent_id,
+                        agentGraphVersion=agent_version,
+                        name=name,
+                        videoUrl=video_url,
+                        imageUrls=image_urls,
+                        description=description,
+                        categories=categories,
+                        subHeading=sub_heading,
+                        submissionStatus=prisma.enums.SubmissionStatus.PENDING,
+                        submittedAt=datetime.now(tz=timezone.utc),
+                        changesSummary=changes_summary,
+                    )
+                ]
+            },
+        )
         listing = await prisma.models.StoreListing.prisma().create(
-            data={
-                "agentId": agent_id,
-                "agentVersion": agent_version,
-                "owningUserId": user_id,
-                "createdAt": datetime.now(),
-                "StoreListingVersions": {
-                    "create": {
-                        "agentId": agent_id,
-                        "agentVersion": agent_version,
-                        "slug": slug,
-                        "name": name,
-                        "videoUrl": video_url,
-                        "imageUrls": image_urls,
-                        "description": description,
-                        "categories": categories,
-                        "subHeading": sub_heading,
-                    }
-                },
-            }
+            data=data,
+            include=prisma.types.StoreListingInclude(Versions=True),
+        )
+
+        store_listing_version_id = (
+            listing.Versions[0].id
+            if listing.Versions is not None and len(listing.Versions) > 0
+            else None
         )
 
         logger.debug(f"Created store listing for agent {agent_id}")
@@ -512,6 +684,8 @@ async def create_store_submission(
             status=prisma.enums.SubmissionStatus.PENDING,
             runs=0,
             rating=0.0,
+            store_listing_version_id=store_listing_version_id,
+            changes_summary=changes_summary,
         )
 
     except (
@@ -520,19 +694,298 @@ async def create_store_submission(
     ):
         raise
     except prisma.errors.PrismaError as e:
-        logger.error(f"Database error creating store submission: {str(e)}")
+        logger.error(f"Database error creating store submission: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to create store submission"
         ) from e
 
 
+async def edit_store_submission(
+    user_id: str,
+    store_listing_version_id: str,
+    name: str,
+    video_url: str | None = None,
+    image_urls: list[str] = [],
+    description: str = "",
+    sub_heading: str = "",
+    categories: list[str] = [],
+    changes_summary: str | None = "Update submission",
+) -> backend.server.v2.store.model.StoreSubmission:
+    """
+    Edit an existing store listing submission.
+
+    Args:
+        user_id: ID of the authenticated user editing the submission
+        store_listing_version_id: ID of the store listing version to edit
+        agent_id: ID of the agent being submitted
+        agent_version: Version of the agent being submitted
+        slug: URL slug for the listing (only changeable for PENDING submissions)
+        name: Name of the agent
+        video_url: Optional URL to video demo
+        image_urls: List of image URLs for the listing
+        description: Description of the agent
+        sub_heading: Optional sub-heading for the agent
+        categories: List of categories for the agent
+        changes_summary: Summary of changes made in this submission
+
+    Returns:
+        StoreSubmission: The updated store submission
+
+    Raises:
+        SubmissionNotFoundError: If the submission is not found
+        UnauthorizedError: If the user doesn't own the submission
+        InvalidOperationError: If trying to edit a submission that can't be edited
+    """
+    try:
+        # Get the current version and verify ownership
+        current_version = await prisma.models.StoreListingVersion.prisma().find_first(
+            where=prisma.types.StoreListingVersionWhereInput(
+                id=store_listing_version_id
+            ),
+            include={
+                "StoreListing": {
+                    "include": {
+                        "Versions": {"order_by": {"version": "desc"}, "take": 1}
+                    }
+                }
+            },
+        )
+
+        if not current_version:
+            raise backend.server.v2.store.exceptions.SubmissionNotFoundError(
+                f"Store listing version not found: {store_listing_version_id}"
+            )
+
+        # Verify the user owns this submission
+        if (
+            not current_version.StoreListing
+            or current_version.StoreListing.owningUserId != user_id
+        ):
+            raise backend.server.v2.store.exceptions.UnauthorizedError(
+                f"User {user_id} does not own submission {store_listing_version_id}"
+            )
+
+        # Currently we are not allowing user to update the agent associated with a submission
+        # If we allow it in future, then we need a check here to verify the agent belongs to this user.
+
+        # Check if we can edit this submission
+        if current_version.submissionStatus == prisma.enums.SubmissionStatus.REJECTED:
+            raise backend.server.v2.store.exceptions.InvalidOperationError(
+                "Cannot edit a rejected submission"
+            )
+
+        # For APPROVED submissions, we need to create a new version
+        if current_version.submissionStatus == prisma.enums.SubmissionStatus.APPROVED:
+            # Create a new version for the existing listing
+            return await create_store_version(
+                user_id=user_id,
+                agent_id=current_version.agentGraphId,
+                agent_version=current_version.agentGraphVersion,
+                store_listing_id=current_version.storeListingId,
+                name=name,
+                video_url=video_url,
+                image_urls=image_urls,
+                description=description,
+                sub_heading=sub_heading,
+                categories=categories,
+                changes_summary=changes_summary,
+            )
+
+        # For PENDING submissions, we can update the existing version
+        elif current_version.submissionStatus == prisma.enums.SubmissionStatus.PENDING:
+            # Update the existing version
+            updated_version = await prisma.models.StoreListingVersion.prisma().update(
+                where={"id": store_listing_version_id},
+                data=prisma.types.StoreListingVersionUpdateInput(
+                    name=name,
+                    videoUrl=video_url,
+                    imageUrls=image_urls,
+                    description=description,
+                    categories=categories,
+                    subHeading=sub_heading,
+                    changesSummary=changes_summary,
+                ),
+            )
+
+            logger.debug(
+                f"Updated existing version {store_listing_version_id} for agent {current_version.agentGraphId}"
+            )
+
+            if not updated_version:
+                raise backend.server.v2.store.exceptions.DatabaseError(
+                    "Failed to update store listing version"
+                )
+            return backend.server.v2.store.model.StoreSubmission(
+                agent_id=current_version.agentGraphId,
+                agent_version=current_version.agentGraphVersion,
+                name=name,
+                sub_heading=sub_heading,
+                slug=current_version.StoreListing.slug,
+                description=description,
+                image_urls=image_urls,
+                date_submitted=updated_version.submittedAt or updated_version.createdAt,
+                status=updated_version.submissionStatus,
+                runs=0,
+                rating=0.0,
+                store_listing_version_id=updated_version.id,
+                changes_summary=changes_summary,
+                video_url=video_url,
+                categories=categories,
+                version=updated_version.version,
+            )
+
+        else:
+            raise backend.server.v2.store.exceptions.InvalidOperationError(
+                f"Cannot edit submission with status: {current_version.submissionStatus}"
+            )
+
+    except (
+        backend.server.v2.store.exceptions.SubmissionNotFoundError,
+        backend.server.v2.store.exceptions.UnauthorizedError,
+        backend.server.v2.store.exceptions.AgentNotFoundError,
+        backend.server.v2.store.exceptions.ListingExistsError,
+        backend.server.v2.store.exceptions.InvalidOperationError,
+    ):
+        raise
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error editing store submission: {e}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to edit store submission"
+        ) from e
+
+
+async def create_store_version(
+    user_id: str,
+    agent_id: str,
+    agent_version: int,
+    store_listing_id: str,
+    name: str,
+    video_url: str | None = None,
+    image_urls: list[str] = [],
+    description: str = "",
+    sub_heading: str = "",
+    categories: list[str] = [],
+    changes_summary: str | None = "Initial submission",
+) -> backend.server.v2.store.model.StoreSubmission:
+    """
+    Create a new version for an existing store listing
+
+    Args:
+        user_id: ID of the authenticated user submitting the version
+        agent_id: ID of the agent being submitted
+        agent_version: Version of the agent being submitted
+        store_listing_id: ID of the existing store listing
+        name: Name of the agent
+        video_url: Optional URL to video demo
+        image_urls: List of image URLs for the listing
+        description: Description of the agent
+        categories: List of categories for the agent
+        changes_summary: Summary of changes from the previous version
+
+    Returns:
+        StoreSubmission: The created store submission
+    """
+    logger.debug(
+        f"Creating new version for store listing {store_listing_id} for user {user_id}, agent {agent_id} v{agent_version}"
+    )
+
+    try:
+        # First verify the listing belongs to this user
+        listing = await prisma.models.StoreListing.prisma().find_first(
+            where=prisma.types.StoreListingWhereInput(
+                id=store_listing_id, owningUserId=user_id
+            ),
+            include={"Versions": {"order_by": {"version": "desc"}, "take": 1}},
+        )
+
+        if not listing:
+            raise backend.server.v2.store.exceptions.ListingNotFoundError(
+                f"Store listing not found. User ID: {user_id}, Listing ID: {store_listing_id}"
+            )
+
+        # Verify the agent belongs to this user
+        agent = await prisma.models.AgentGraph.prisma().find_first(
+            where=prisma.types.AgentGraphWhereInput(
+                id=agent_id, version=agent_version, userId=user_id
+            )
+        )
+
+        if not agent:
+            raise backend.server.v2.store.exceptions.AgentNotFoundError(
+                f"Agent not found for this user. User ID: {user_id}, Agent ID: {agent_id}, Version: {agent_version}"
+            )
+
+        # Get the latest version number
+        latest_version = listing.Versions[0] if listing.Versions else None
+
+        next_version = (latest_version.version + 1) if latest_version else 1
+
+        # Create a new version for the existing listing
+        new_version = await prisma.models.StoreListingVersion.prisma().create(
+            data=prisma.types.StoreListingVersionCreateInput(
+                version=next_version,
+                agentGraphId=agent_id,
+                agentGraphVersion=agent_version,
+                name=name,
+                videoUrl=video_url,
+                imageUrls=image_urls,
+                description=description,
+                categories=categories,
+                subHeading=sub_heading,
+                submissionStatus=prisma.enums.SubmissionStatus.PENDING,
+                submittedAt=datetime.now(),
+                changesSummary=changes_summary,
+                storeListingId=store_listing_id,
+            )
+        )
+
+        logger.debug(
+            f"Created new version for listing {store_listing_id} of agent {agent_id}"
+        )
+        # Return submission details
+        return backend.server.v2.store.model.StoreSubmission(
+            agent_id=agent_id,
+            agent_version=agent_version,
+            name=name,
+            slug=listing.slug,
+            sub_heading=sub_heading,
+            description=description,
+            image_urls=image_urls,
+            date_submitted=datetime.now(),
+            status=prisma.enums.SubmissionStatus.PENDING,
+            runs=0,
+            rating=0.0,
+            store_listing_version_id=new_version.id,
+            changes_summary=changes_summary,
+            version=next_version,
+        )
+
+    except prisma.errors.PrismaError as e:
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to create new store version"
+        ) from e
+
+
 async def create_store_review(
     user_id: str,
     store_listing_version_id: str,
     score: int,
     comments: str | None = None,
 ) -> backend.server.v2.store.model.StoreReview:
+    """Create a review for a store listing as a user to detail their experience"""
     try:
+        data = prisma.types.StoreListingReviewUpsertInput(
+            update=prisma.types.StoreListingReviewUpdateInput(
+                score=score,
+                comments=comments,
+            ),
+            create=prisma.types.StoreListingReviewCreateInput(
+                reviewByUserId=user_id,
+                storeListingVersionId=store_listing_version_id,
+                score=score,
+                comments=comments,
+            ),
+        )
         review = await prisma.models.StoreListingReview.prisma().upsert(
             where={
                 "storeListingVersionId_reviewByUserId": {
@@ -540,18 +993,7 @@ async def create_store_review(
                     "reviewByUserId": user_id,
                 }
             },
-            data={
-                "create": {
-                    "reviewByUserId": user_id,
-                    "storeListingVersionId": store_listing_version_id,
-                    "score": score,
-                    "comments": comments,
-                },
-                "update": {
-                    "score": score,
-                    "comments": comments,
-                },
-            },
+            data=data,
         )
 
         return backend.server.v2.store.model.StoreReview(
@@ -560,7 +1002,7 @@ async def create_store_review(
         )
 
     except prisma.errors.PrismaError as e:
-        logger.error(f"Database error creating store review: {str(e)}")
+        logger.error(f"Database error creating store review: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to create store review"
         ) from e
@@ -568,34 +1010,16 @@ async def create_store_review(
 
 async def get_user_profile(
     user_id: str,
-) -> backend.server.v2.store.model.ProfileDetails:
+) -> backend.server.v2.store.model.ProfileDetails | None:
     logger.debug(f"Getting user profile for {user_id}")
 
     try:
         profile = await prisma.models.Profile.prisma().find_first(
-            where={"userId": user_id}  # type: ignore
+            where={"userId": user_id}
         )
 
         if not profile:
-            logger.warning(f"Profile not found for user {user_id}")
-            await prisma.models.Profile.prisma().create(
-                data=prisma.types.ProfileCreateInput(
-                    userId=user_id,
-                    name="No Profile Data",
-                    username=f"{random.choice(['happy', 'clever', 'swift', 'bright', 'wise'])}-{random.choice(['fox', 'wolf', 'bear', 'eagle', 'owl'])}_{random.randint(1000,9999)}",
-                    description="No Profile Data",
-                    links=[],
-                    avatarUrl="",
-                )
-            )
-            return backend.server.v2.store.model.ProfileDetails(
-                name="No Profile Data",
-                username="No Profile Data",
-                description="No Profile Data",
-                links=[],
-                avatar_url="",
-            )
-
+            return None
         return backend.server.v2.store.model.ProfileDetails(
             name=profile.name,
             username=profile.username,
@@ -604,98 +1028,88 @@ async def get_user_profile(
             avatar_url=profile.avatarUrl,
         )
     except Exception as e:
-        logger.error(f"Error getting user profile: {str(e)}")
-        return backend.server.v2.store.model.ProfileDetails(
-            name="No Profile Data",
-            username="No Profile Data",
-            description="No Profile Data",
-            links=[],
-            avatar_url="",
-        )
+        logger.error(f"Error getting user profile: {e}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to get user profile"
+        ) from e
 
 
-async def update_or_create_profile(
+async def update_profile(
     user_id: str, profile: backend.server.v2.store.model.Profile
 ) -> backend.server.v2.store.model.CreatorDetails:
     """
-    Update the store profile for a user. Creates a new profile if one doesn't exist.
-    Only allows updating if the user_id matches the owning user.
-
+    Update the store profile for a user or create a new one if it doesn't exist.
     Args:
         user_id: ID of the authenticated user
         profile: Updated profile details
-
     Returns:
-        CreatorDetails: The updated profile
-
+        CreatorDetails: The updated or created profile details
     Raises:
-        HTTPException: If user is not authorized to update this profile
+        DatabaseError: If there's an issue updating or creating the profile
     """
-    logger.debug(f"Updating profile for user {user_id}")
-
+    logger.info(f"Updating profile for user {user_id} with data: {profile}")
     try:
-        # Check if profile exists for user
+        # Sanitize username to allow only letters, numbers, and hyphens
+        username = "".join(
+            c if c.isalpha() or c == "-" or c.isnumeric() else ""
+            for c in profile.username
+        ).lower()
+        # Check if profile exists for the given user_id
         existing_profile = await prisma.models.Profile.prisma().find_first(
             where={"userId": user_id}
         )
-
-        # If no profile exists, create a new one
         if not existing_profile:
-            logger.debug(f"Creating new profile for user {user_id}")
-            # Create new profile since one doesn't exist
-            new_profile = await prisma.models.Profile.prisma().create(
-                data={
-                    "userId": user_id,
-                    "name": profile.name,
-                    "username": profile.username,
-                    "description": profile.description,
-                    "links": profile.links,
-                    "avatarUrl": profile.avatar_url,
-                }
+            raise backend.server.v2.store.exceptions.ProfileNotFoundError(
+                f"Profile not found for user {user_id}. This should not be possible."
             )
 
-            return backend.server.v2.store.model.CreatorDetails(
-                name=new_profile.name,
-                username=new_profile.username,
-                description=new_profile.description,
-                links=new_profile.links,
-                avatar_url=new_profile.avatarUrl or "",
-                agent_rating=0.0,
-                agent_runs=0,
-                top_categories=[],
+        # Verify that the user is authorized to update this profile
+        if existing_profile.userId != user_id:
+            logger.error(
+                f"Unauthorized update attempt for profile {existing_profile.id} by user {user_id}"
             )
-        else:
-            logger.debug(f"Updating existing profile for user {user_id}")
-            # Update the existing profile
-            updated_profile = await prisma.models.Profile.prisma().update(
-                where={"id": existing_profile.id},
-                data=prisma.types.ProfileUpdateInput(
-                    name=profile.name,
-                    username=profile.username,
-                    description=profile.description,
-                    links=profile.links,
-                    avatarUrl=profile.avatar_url,
-                ),
+            raise backend.server.v2.store.exceptions.DatabaseError(
+                f"Unauthorized update attempt for profile {existing_profile.id} by user {user_id}"
             )
-            if updated_profile is None:
-                logger.error(f"Failed to update profile for user {user_id}")
-                raise backend.server.v2.store.exceptions.DatabaseError(
-                    "Failed to update profile"
-                )
 
-            return backend.server.v2.store.model.CreatorDetails(
-                name=updated_profile.name,
-                username=updated_profile.username,
-                description=updated_profile.description,
-                links=updated_profile.links,
-                avatar_url=updated_profile.avatarUrl or "",
-                agent_rating=0.0,
-                agent_runs=0,
-                top_categories=[],
+        logger.debug(f"Updating existing profile for user {user_id}")
+        # Prepare update data, only including non-None values
+        update_data = {}
+        if profile.name is not None:
+            update_data["name"] = profile.name
+        if profile.username is not None:
+            update_data["username"] = username
+        if profile.description is not None:
+            update_data["description"] = profile.description
+        if profile.links is not None:
+            update_data["links"] = profile.links
+        if profile.avatar_url is not None:
+            update_data["avatarUrl"] = profile.avatar_url
+
+        # Update the existing profile
+        updated_profile = await prisma.models.Profile.prisma().update(
+            where={"id": existing_profile.id},
+            data=prisma.types.ProfileUpdateInput(**update_data),
+        )
+        if updated_profile is None:
+            logger.error(f"Failed to update profile for user {user_id}")
+            raise backend.server.v2.store.exceptions.DatabaseError(
+                "Failed to update profile"
             )
 
+        return backend.server.v2.store.model.CreatorDetails(
+            name=updated_profile.name,
+            username=updated_profile.username,
+            description=updated_profile.description,
+            links=updated_profile.links,
+            avatar_url=updated_profile.avatarUrl or "",
+            agent_rating=0.0,
+            agent_runs=0,
+            top_categories=[],
+        )
+
     except prisma.errors.PrismaError as e:
-        logger.error(f"Database error updating profile: {str(e)}")
+        logger.error(f"Database error updating profile: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to update profile"
         ) from e
@@ -706,47 +1120,39 @@ async def get_my_agents(
     page: int = 1,
     page_size: int = 20,
 ) -> backend.server.v2.store.model.MyAgentsResponse:
+    """Get the agents for the authenticated user"""
     logger.debug(f"Getting my agents for user {user_id}, page={page}")
 
     try:
-        agents_with_max_version = await prisma.models.AgentGraph.prisma().find_many(
-            where=prisma.types.AgentGraphWhereInput(
-                userId=user_id, StoreListing={"none": {"isDeleted": False}}
-            ),
-            order=[{"version": "desc"}],
-            distinct=["id"],
+        search_filter: prisma.types.LibraryAgentWhereInput = {
+            "userId": user_id,
+            "AgentGraph": {"is": {"StoreListings": {"none": {"isDeleted": False}}}},
+            "isArchived": False,
+            "isDeleted": False,
+        }
+
+        library_agents = await prisma.models.LibraryAgent.prisma().find_many(
+            where=search_filter,
+            order=[{"updatedAt": "desc"}],
             skip=(page - 1) * page_size,
             take=page_size,
+            include={"AgentGraph": True},
         )
 
-        # store_listings = await prisma.models.StoreListing.prisma().find_many(
-        #     where=prisma.types.StoreListingWhereInput(
-        #         isDeleted=False,
-        #     ),
-        # )
-
-        total = len(
-            await prisma.models.AgentGraph.prisma().find_many(
-                where=prisma.types.AgentGraphWhereInput(
-                    userId=user_id, StoreListing={"none": {"isDeleted": False}}
-                ),
-                order=[{"version": "desc"}],
-                distinct=["id"],
-            )
-        )
-
+        total = await prisma.models.LibraryAgent.prisma().count(where=search_filter)
         total_pages = (total + page_size - 1) // page_size
 
-        agents = agents_with_max_version
-
         my_agents = [
             backend.server.v2.store.model.MyAgent(
-                agent_id=agent.id,
-                agent_version=agent.version,
-                agent_name=agent.name or "",
-                last_edited=agent.updatedAt or agent.createdAt,
+                agent_id=graph.id,
+                agent_version=graph.version,
+                agent_name=graph.name or "",
+                last_edited=graph.updatedAt or graph.createdAt,
+                description=graph.description or "",
+                agent_image=library_agent.imageUrl,
             )
-            for agent in agents
+            for library_agent in library_agents
+            if (graph := library_agent.AgentGraph)
         ]
 
         return backend.server.v2.store.model.MyAgentsResponse(
@@ -759,7 +1165,516 @@ async def get_my_agents(
             ),
         )
     except Exception as e:
-        logger.error(f"Error getting my agents: {str(e)}")
+        logger.error(f"Error getting my agents: {e}")
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to fetch my agents"
         ) from e
+
+
+async def get_agent(
+    user_id: str | None,
+    store_listing_version_id: str,
+) -> GraphModel:
+    """Get agent using the version ID and store listing version ID."""
+    store_listing_version = (
+        await prisma.models.StoreListingVersion.prisma().find_unique(
+            where={"id": store_listing_version_id}
+        )
+    )
+
+    if not store_listing_version:
+        raise ValueError(f"Store listing version {store_listing_version_id} not found")
+
+    graph = await get_graph(
+        user_id=user_id,
+        graph_id=store_listing_version.agentGraphId,
+        version=store_listing_version.agentGraphVersion,
+        for_export=True,
+    )
+    if not graph:
+        raise ValueError(
+            f"Agent {store_listing_version.agentGraphId} v{store_listing_version.agentGraphVersion} not found"
+        )
+
+    return graph
+
+
+#####################################################
+################## ADMIN FUNCTIONS ##################
+#####################################################
+
+
+async def _get_missing_sub_store_listing(
+    graph: prisma.models.AgentGraph,
+) -> list[prisma.models.AgentGraph]:
+    """
+    Agent graph can have sub-graphs, and those sub-graphs also need to be store listed.
+    This method fetches the sub-graphs, and returns the ones not listed in the store.
+    """
+    sub_graphs = await get_sub_graphs(graph)
+    if not sub_graphs:
+        return []
+
+    # Fetch all the sub-graphs that are listed, and return the ones missing.
+    store_listed_sub_graphs = {
+        (listing.agentGraphId, listing.agentGraphVersion)
+        for listing in await prisma.models.StoreListingVersion.prisma().find_many(
+            where={
+                "OR": [
+                    {
+                        "agentGraphId": sub_graph.id,
+                        "agentGraphVersion": sub_graph.version,
+                    }
+                    for sub_graph in sub_graphs
+                ],
+                "submissionStatus": prisma.enums.SubmissionStatus.APPROVED,
+                "isDeleted": False,
+            }
+        )
+    }
+
+    return [
+        sub_graph
+        for sub_graph in sub_graphs
+        if (sub_graph.id, sub_graph.version) not in store_listed_sub_graphs
+    ]
+
+
+async def review_store_submission(
+    store_listing_version_id: str,
+    is_approved: bool,
+    external_comments: str,
+    internal_comments: str,
+    reviewer_id: str,
+) -> backend.server.v2.store.model.StoreSubmission:
+    """Review a store listing submission as an admin."""
+    try:
+        store_listing_version = (
+            await prisma.models.StoreListingVersion.prisma().find_unique(
+                where={"id": store_listing_version_id},
+                include={
+                    "StoreListing": True,
+                    "AgentGraph": {"include": {**AGENT_GRAPH_INCLUDE, "User": True}},
+                    "Reviewer": True,
+                },
+            )
+        )
+
+        if not store_listing_version or not store_listing_version.StoreListing:
+            raise fastapi.HTTPException(
+                status_code=404,
+                detail=f"Store listing version {store_listing_version_id} not found",
+            )
+
+        # Check if we're rejecting an already approved agent
+        is_rejecting_approved = (
+            not is_approved
+            and store_listing_version.submissionStatus
+            == prisma.enums.SubmissionStatus.APPROVED
+        )
+
+        # If approving, update the listing to indicate it has an approved version
+        if is_approved and store_listing_version.AgentGraph:
+            heading = f"Sub-graph of {store_listing_version.name}v{store_listing_version.agentGraphVersion}"
+
+            sub_store_listing_versions = [
+                prisma.types.StoreListingVersionCreateWithoutRelationsInput(
+                    agentGraphId=sub_graph.id,
+                    agentGraphVersion=sub_graph.version,
+                    name=sub_graph.name or heading,
+                    submissionStatus=prisma.enums.SubmissionStatus.APPROVED,
+                    subHeading=heading,
+                    description=f"{heading}: {sub_graph.description}",
+                    changesSummary=f"This listing is added as a {heading} / #{store_listing_version.agentGraphId}.",
+                    isAvailable=False,  # Hide sub-graphs from the store by default.
+                    submittedAt=datetime.now(tz=timezone.utc),
+                )
+                for sub_graph in await _get_missing_sub_store_listing(
+                    store_listing_version.AgentGraph
+                )
+            ]
+
+            await prisma.models.StoreListing.prisma().update(
+                where={"id": store_listing_version.StoreListing.id},
+                data={
+                    "hasApprovedVersion": True,
+                    "ActiveVersion": {"connect": {"id": store_listing_version_id}},
+                    "Versions": {"create": sub_store_listing_versions},
+                },
+            )
+
+        # If rejecting an approved agent, update the StoreListing accordingly
+        if is_rejecting_approved:
+            # Check if there are other approved versions
+            other_approved = (
+                await prisma.models.StoreListingVersion.prisma().find_first(
+                    where={
+                        "storeListingId": store_listing_version.StoreListing.id,
+                        "id": {"not": store_listing_version_id},
+                        "submissionStatus": prisma.enums.SubmissionStatus.APPROVED,
+                    }
+                )
+            )
+
+            if not other_approved:
+                # No other approved versions, update hasApprovedVersion to False
+                await prisma.models.StoreListing.prisma().update(
+                    where={"id": store_listing_version.StoreListing.id},
+                    data={
+                        "hasApprovedVersion": False,
+                        "ActiveVersion": {"disconnect": True},
+                    },
+                )
+            else:
+                # Set the most recent other approved version as active
+                await prisma.models.StoreListing.prisma().update(
+                    where={"id": store_listing_version.StoreListing.id},
+                    data={
+                        "ActiveVersion": {"connect": {"id": other_approved.id}},
+                    },
+                )
+
+        submission_status = (
+            prisma.enums.SubmissionStatus.APPROVED
+            if is_approved
+            else prisma.enums.SubmissionStatus.REJECTED
+        )
+
+        # Update the version with review information
+        update_data: prisma.types.StoreListingVersionUpdateInput = {
+            "submissionStatus": submission_status,
+            "reviewComments": external_comments,
+            "internalComments": internal_comments,
+            "Reviewer": {"connect": {"id": reviewer_id}},
+            "StoreListing": {"connect": {"id": store_listing_version.StoreListing.id}},
+            "reviewedAt": datetime.now(tz=timezone.utc),
+        }
+
+        # Update the version
+        submission = await prisma.models.StoreListingVersion.prisma().update(
+            where={"id": store_listing_version_id},
+            data=update_data,
+            include={"StoreListing": True},
+        )
+
+        if not submission:
+            raise backend.server.v2.store.exceptions.DatabaseError(
+                f"Failed to update store listing version {store_listing_version_id}"
+            )
+
+        # Send email notification to the agent creator
+        if store_listing_version.AgentGraph and store_listing_version.AgentGraph.User:
+            agent_creator = store_listing_version.AgentGraph.User
+            reviewer = (
+                store_listing_version.Reviewer
+                if store_listing_version.Reviewer
+                else None
+            )
+
+            try:
+                base_url = (
+                    settings.config.frontend_base_url
+                    or settings.config.platform_base_url
+                )
+
+                if is_approved:
+                    store_agent = (
+                        await prisma.models.StoreAgent.prisma().find_first_or_raise(
+                            where={"storeListingVersionId": submission.id}
+                        )
+                    )
+
+                    # Send approval notification
+                    notification_data = AgentApprovalData(
+                        agent_name=submission.name,
+                        agent_id=submission.agentGraphId,
+                        agent_version=submission.agentGraphVersion,
+                        reviewer_name=(
+                            reviewer.name
+                            if reviewer and reviewer.name
+                            else DEFAULT_ADMIN_NAME
+                        ),
+                        reviewer_email=(
+                            reviewer.email if reviewer else DEFAULT_ADMIN_EMAIL
+                        ),
+                        comments=external_comments,
+                        reviewed_at=submission.reviewedAt
+                        or datetime.now(tz=timezone.utc),
+                        store_url=f"{base_url}/marketplace/agent/{store_agent.creator_username}/{store_agent.slug}",
+                    )
+
+                    notification_event = NotificationEventModel[AgentApprovalData](
+                        user_id=agent_creator.id,
+                        type=prisma.enums.NotificationType.AGENT_APPROVED,
+                        data=notification_data,
+                    )
+                else:
+                    # Send rejection notification
+                    notification_data = AgentRejectionData(
+                        agent_name=submission.name,
+                        agent_id=submission.agentGraphId,
+                        agent_version=submission.agentGraphVersion,
+                        reviewer_name=(
+                            reviewer.name
+                            if reviewer and reviewer.name
+                            else DEFAULT_ADMIN_NAME
+                        ),
+                        reviewer_email=(
+                            reviewer.email if reviewer else DEFAULT_ADMIN_EMAIL
+                        ),
+                        comments=external_comments,
+                        reviewed_at=submission.reviewedAt
+                        or datetime.now(tz=timezone.utc),
+                        resubmit_url=f"{base_url}/build?flowID={submission.agentGraphId}",
+                    )
+
+                    notification_event = NotificationEventModel[AgentRejectionData](
+                        user_id=agent_creator.id,
+                        type=prisma.enums.NotificationType.AGENT_REJECTED,
+                        data=notification_data,
+                    )
+
+                # Queue the notification for immediate sending
+                await queue_notification_async(notification_event)
+                logger.info(
+                    f"Queued {'approval' if is_approved else 'rejection'} notification for user {agent_creator.id} and agent {submission.name}"
+                )
+
+            except Exception as e:
+                logger.error(f"Failed to send email notification for agent review: {e}")
+                # Don't fail the review process if email sending fails
+                pass
+
+        # Convert to Pydantic model for consistency
+        return backend.server.v2.store.model.StoreSubmission(
+            agent_id=submission.agentGraphId,
+            agent_version=submission.agentGraphVersion,
+            name=submission.name,
+            sub_heading=submission.subHeading,
+            slug=(
+                submission.StoreListing.slug
+                if hasattr(submission, "storeListing") and submission.StoreListing
+                else ""
+            ),
+            description=submission.description,
+            image_urls=submission.imageUrls or [],
+            date_submitted=submission.submittedAt or submission.createdAt,
+            status=submission.submissionStatus,
+            runs=0,  # Default values since we don't have this data here
+            rating=0.0,
+            store_listing_version_id=submission.id,
+            reviewer_id=submission.reviewerId,
+            review_comments=submission.reviewComments,
+            internal_comments=submission.internalComments,
+            reviewed_at=submission.reviewedAt,
+            changes_summary=submission.changesSummary,
+        )
+
+    except Exception as e:
+        logger.error(f"Could not create store submission review: {e}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to create store submission review"
+        ) from e
+
+
+async def get_admin_listings_with_versions(
+    status: prisma.enums.SubmissionStatus | None = None,
+    search_query: str | None = None,
+    page: int = 1,
+    page_size: int = 20,
+) -> backend.server.v2.store.model.StoreListingsWithVersionsResponse:
+    """
+    Get store listings for admins with all their versions.
+
+    Args:
+        status: Filter by submission status (PENDING, APPROVED, REJECTED)
+        search_query: Search by name, description, or user email
+        page: Page number for pagination
+        page_size: Number of items per page
+
+    Returns:
+        StoreListingsWithVersionsResponse with listings and their versions
+    """
+    logger.debug(
+        f"Getting admin store listings with status={status}, search={search_query}, page={page}"
+    )
+
+    try:
+        # Build the where clause for StoreListing
+        where_dict: prisma.types.StoreListingWhereInput = {
+            "isDeleted": False,
+        }
+        if status:
+            where_dict["Versions"] = {"some": {"submissionStatus": status}}
+
+        sanitized_query = sanitize_query(search_query)
+        if sanitized_query:
+            # Find users with matching email
+            matching_users = await prisma.models.User.prisma().find_many(
+                where={"email": {"contains": sanitized_query, "mode": "insensitive"}},
+            )
+
+            user_ids = [user.id for user in matching_users]
+
+            # Set up OR conditions
+            where_dict["OR"] = [
+                {"slug": {"contains": sanitized_query, "mode": "insensitive"}},
+                {
+                    "Versions": {
+                        "some": {
+                            "name": {"contains": sanitized_query, "mode": "insensitive"}
+                        }
+                    }
+                },
+                {
+                    "Versions": {
+                        "some": {
+                            "description": {
+                                "contains": sanitized_query,
+                                "mode": "insensitive",
+                            }
+                        }
+                    }
+                },
+                {
+                    "Versions": {
+                        "some": {
+                            "subHeading": {
+                                "contains": sanitized_query,
+                                "mode": "insensitive",
+                            }
+                        }
+                    }
+                },
+            ]
+
+            # Add user_id condition if any users matched
+            if user_ids:
+                where_dict["OR"].append({"owningUserId": {"in": user_ids}})
+
+        # Calculate pagination
+        skip = (page - 1) * page_size
+
+        # Create proper Prisma types for the query
+        where = prisma.types.StoreListingWhereInput(**where_dict)
+        include = prisma.types.StoreListingInclude(
+            Versions=prisma.types.FindManyStoreListingVersionArgsFromStoreListing(
+                order_by=prisma.types._StoreListingVersion_version_OrderByInput(
+                    version="desc"
+                )
+            ),
+            OwningUser=True,
+        )
+
+        # Query listings with their versions
+        listings = await prisma.models.StoreListing.prisma().find_many(
+            where=where,
+            skip=skip,
+            take=page_size,
+            include=include,
+            order=[{"createdAt": "desc"}],
+        )
+
+        # Get total count for pagination
+        total = await prisma.models.StoreListing.prisma().count(where=where)
+        total_pages = (total + page_size - 1) // page_size
+
+        # Convert to response models
+        listings_with_versions = []
+        for listing in listings:
+            versions: list[backend.server.v2.store.model.StoreSubmission] = []
+            # If we have versions, turn them into StoreSubmission models
+            for version in listing.Versions or []:
+                version_model = backend.server.v2.store.model.StoreSubmission(
+                    agent_id=version.agentGraphId,
+                    agent_version=version.agentGraphVersion,
+                    name=version.name,
+                    sub_heading=version.subHeading,
+                    slug=listing.slug,
+                    description=version.description,
+                    image_urls=version.imageUrls or [],
+                    date_submitted=version.submittedAt or version.createdAt,
+                    status=version.submissionStatus,
+                    runs=0,  # Default values since we don't have this data here
+                    rating=0.0,  # Default values since we don't have this data here
+                    store_listing_version_id=version.id,
+                    reviewer_id=version.reviewerId,
+                    review_comments=version.reviewComments,
+                    internal_comments=version.internalComments,
+                    reviewed_at=version.reviewedAt,
+                    changes_summary=version.changesSummary,
+                    version=version.version,
+                )
+                versions.append(version_model)
+
+            # Get the latest version (first in the sorted list)
+            latest_version = versions[0] if versions else None
+
+            creator_email = listing.OwningUser.email if listing.OwningUser else None
+
+            listing_with_versions = (
+                backend.server.v2.store.model.StoreListingWithVersions(
+                    listing_id=listing.id,
+                    slug=listing.slug,
+                    agent_id=listing.agentGraphId,
+                    agent_version=listing.agentGraphVersion,
+                    active_version_id=listing.activeVersionId,
+                    has_approved_version=listing.hasApprovedVersion,
+                    creator_email=creator_email,
+                    latest_version=latest_version,
+                    versions=versions,
+                )
+            )
+
+            listings_with_versions.append(listing_with_versions)
+
+        logger.debug(f"Found {len(listings_with_versions)} listings for admin")
+        return backend.server.v2.store.model.StoreListingsWithVersionsResponse(
+            listings=listings_with_versions,
+            pagination=backend.server.v2.store.model.Pagination(
+                current_page=page,
+                total_items=total,
+                total_pages=total_pages,
+                page_size=page_size,
+            ),
+        )
+    except Exception as e:
+        logger.error(f"Error fetching admin store listings: {e}")
+        # Return empty response rather than exposing internal errors
+        return backend.server.v2.store.model.StoreListingsWithVersionsResponse(
+            listings=[],
+            pagination=backend.server.v2.store.model.Pagination(
+                current_page=page,
+                total_items=0,
+                total_pages=0,
+                page_size=page_size,
+            ),
+        )
+
+
+async def get_agent_as_admin(
+    user_id: str | None,
+    store_listing_version_id: str,
+) -> GraphModel:
+    """Get agent using the version ID and store listing version ID."""
+    store_listing_version = (
+        await prisma.models.StoreListingVersion.prisma().find_unique(
+            where={"id": store_listing_version_id}
+        )
+    )
+
+    if not store_listing_version:
+        raise ValueError(f"Store listing version {store_listing_version_id} not found")
+
+    graph = await get_graph_as_admin(
+        user_id=user_id,
+        graph_id=store_listing_version.agentGraphId,
+        version=store_listing_version.agentGraphVersion,
+        for_export=True,
+    )
+    if not graph:
+        raise ValueError(
+            f"Agent {store_listing_version.agentGraphId} v{store_listing_version.agentGraphVersion} not found"
+        )
+
+    return graph
diff --git a/autogpt_platform/backend/backend/server/v2/store/db_test.py b/autogpt_platform/backend/backend/server/v2/store/db_test.py
index 24a068017819..7ad4509c19d3 100644
--- a/autogpt_platform/backend/backend/server/v2/store/db_test.py
+++ b/autogpt_platform/backend/backend/server/v2/store/db_test.py
@@ -1,5 +1,6 @@
 from datetime import datetime
 
+import prisma.enums
 import prisma.errors
 import prisma.models
 import pytest
@@ -83,21 +84,43 @@ async def test_get_store_agent_details(mocker):
         updated_at=datetime.now(),
     )
 
-    # Mock prisma call
+    # Create a mock StoreListing result
+    mock_store_listing = mocker.MagicMock()
+    mock_store_listing.activeVersionId = "active-version-id"
+    mock_store_listing.hasApprovedVersion = True
+
+    # Mock StoreAgent prisma call
     mock_store_agent = mocker.patch("prisma.models.StoreAgent.prisma")
     mock_store_agent.return_value.find_first = mocker.AsyncMock(return_value=mock_agent)
 
+    # Mock Profile prisma call
+    mock_profile = mocker.MagicMock()
+    mock_profile.userId = "user-id-123"
+    mock_profile_db = mocker.patch("prisma.models.Profile.prisma")
+    mock_profile_db.return_value.find_first = mocker.AsyncMock(
+        return_value=mock_profile
+    )
+
+    # Mock StoreListing prisma call - this is what was missing
+    mock_store_listing_db = mocker.patch("prisma.models.StoreListing.prisma")
+    mock_store_listing_db.return_value.find_first = mocker.AsyncMock(
+        return_value=mock_store_listing
+    )
+
     # Call function
     result = await db.get_store_agent_details("creator", "test-agent")
 
     # Verify results
     assert result.slug == "test-agent"
     assert result.agent_name == "Test Agent"
+    assert result.active_version_id == "active-version-id"
+    assert result.has_approved_version is True
 
-    # Verify mock called correctly
+    # Verify mocks called correctly
     mock_store_agent.return_value.find_first.assert_called_once_with(
         where={"creator_username": "creator", "slug": "test-agent"}
     )
+    mock_store_listing_db.return_value.find_first.assert_called_once()
 
 
 @pytest.mark.asyncio
@@ -146,7 +169,6 @@ async def test_create_store_submission(mocker):
         userId="user-id",
         createdAt=datetime.now(),
         isActive=True,
-        isTemplate=False,
     )
 
     mock_listing = prisma.models.StoreListing(
@@ -154,10 +176,31 @@ async def test_create_store_submission(mocker):
         createdAt=datetime.now(),
         updatedAt=datetime.now(),
         isDeleted=False,
-        isApproved=False,
-        agentId="agent-id",
-        agentVersion=1,
+        hasApprovedVersion=False,
+        slug="test-agent",
+        agentGraphId="agent-id",
+        agentGraphVersion=1,
         owningUserId="user-id",
+        Versions=[
+            prisma.models.StoreListingVersion(
+                id="version-id",
+                agentGraphId="agent-id",
+                agentGraphVersion=1,
+                name="Test Agent",
+                description="Test description",
+                createdAt=datetime.now(),
+                updatedAt=datetime.now(),
+                subHeading="Test heading",
+                imageUrls=["image.jpg"],
+                categories=["test"],
+                isFeatured=False,
+                isDeleted=False,
+                version=1,
+                storeListingId="listing-id",
+                submissionStatus=prisma.enums.SubmissionStatus.PENDING,
+                isAvailable=True,
+            )
+        ],
     )
 
     # Mock prisma calls
@@ -181,6 +224,7 @@ async def test_create_store_submission(mocker):
     # Verify results
     assert result.name == "Test Agent"
     assert result.description == "Test description"
+    assert result.store_listing_version_id == "version-id"
 
     # Verify mocks called correctly
     mock_agent_graph.return_value.find_first.assert_called_once()
@@ -195,6 +239,7 @@ async def test_update_profile(mocker):
         id="profile-id",
         name="Test Creator",
         username="creator",
+        userId="user-id",
         description="Test description",
         links=["link1"],
         avatarUrl="avatar.jpg",
@@ -221,7 +266,7 @@ async def test_update_profile(mocker):
     )
 
     # Call function
-    result = await db.update_or_create_profile("user-id", profile)
+    result = await db.update_profile("user-id", profile)
 
     # Verify results
     assert result.username == "creator"
@@ -237,7 +282,7 @@ async def test_get_user_profile(mocker):
     # Mock data
     mock_profile = prisma.models.Profile(
         id="profile-id",
-        name="No Profile Data",
+        name="Test User",
         username="testuser",
         description="Test description",
         links=["link1", "link2"],
@@ -245,20 +290,22 @@ async def test_get_user_profile(mocker):
         isFeatured=False,
         createdAt=datetime.now(),
         updatedAt=datetime.now(),
+        userId="user-id",
     )
 
     # Mock prisma calls
     mock_profile_db = mocker.patch("prisma.models.Profile.prisma")
-    mock_profile_db.return_value.find_unique = mocker.AsyncMock(
+    mock_profile_db.return_value.find_first = mocker.AsyncMock(
         return_value=mock_profile
     )
 
     # Call function
     result = await db.get_user_profile("user-id")
 
+    assert result is not None
     # Verify results
-    assert result.name == "No Profile Data"
-    assert result.username == "No Profile Data"
-    assert result.description == "No Profile Data"
-    assert result.links == []
-    assert result.avatar_url == ""
+    assert result.name == "Test User"
+    assert result.username == "testuser"
+    assert result.description == "Test description"
+    assert result.links == ["link1", "link2"]
+    assert result.avatar_url == "avatar.jpg"
diff --git a/autogpt_platform/backend/backend/server/v2/store/exceptions.py b/autogpt_platform/backend/backend/server/v2/store/exceptions.py
index f63264be4d94..0b1020db6064 100644
--- a/autogpt_platform/backend/backend/server/v2/store/exceptions.py
+++ b/autogpt_platform/backend/backend/server/v2/store/exceptions.py
@@ -34,6 +34,20 @@ class StorageUploadError(MediaUploadError):
     pass
 
 
+class VirusDetectedError(MediaUploadError):
+    """Raised when a virus is detected in uploaded file"""
+
+    def __init__(self, threat_name: str, message: str | None = None):
+        self.threat_name = threat_name
+        super().__init__(message or f"Virus detected: {threat_name}")
+
+
+class VirusScanError(MediaUploadError):
+    """Raised when virus scanning fails"""
+
+    pass
+
+
 class StoreError(Exception):
     """Base exception for store-related errors"""
 
@@ -70,7 +84,25 @@ class ProfileNotFoundError(StoreError):
     pass
 
 
+class ListingNotFoundError(StoreError):
+    """Raised when a store listing is not found"""
+
+    pass
+
+
 class SubmissionNotFoundError(StoreError):
     """Raised when a submission is not found"""
 
     pass
+
+
+class InvalidOperationError(StoreError):
+    """Raised when an operation is not valid for the current state"""
+
+    pass
+
+
+class UnauthorizedError(StoreError):
+    """Raised when a user is not authorized to perform an action"""
+
+    pass
diff --git a/autogpt_platform/backend/backend/server/v2/store/image_gen.py b/autogpt_platform/backend/backend/server/v2/store/image_gen.py
new file mode 100644
index 000000000000..87b7b601dfeb
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/store/image_gen.py
@@ -0,0 +1,168 @@
+import io
+import logging
+from enum import Enum
+
+from prisma.models import AgentGraph
+from replicate.client import Client as ReplicateClient
+from replicate.exceptions import ReplicateError
+from replicate.helpers import FileOutput
+
+from backend.blocks.ideogram import (
+    AspectRatio,
+    ColorPalettePreset,
+    IdeogramModelBlock,
+    IdeogramModelName,
+    MagicPromptOption,
+    StyleType,
+    UpscaleOption,
+)
+from backend.data.graph import BaseGraph
+from backend.data.model import CredentialsMetaInput, ProviderName
+from backend.integrations.credentials_store import ideogram_credentials
+from backend.util.request import Requests
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+settings = Settings()
+
+
+class ImageSize(str, Enum):
+    LANDSCAPE = "1024x768"
+
+
+class ImageStyle(str, Enum):
+    DIGITAL_ART = "digital art"
+
+
+async def generate_agent_image(agent: BaseGraph | AgentGraph) -> io.BytesIO:
+    if settings.config.use_agent_image_generation_v2:
+        return await generate_agent_image_v2(graph=agent)
+    else:
+        return await generate_agent_image_v1(agent=agent)
+
+
+async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
+    """
+    Generate an image for an agent using Ideogram model.
+    Returns:
+        str: The URL of the generated image
+    """
+    if not ideogram_credentials.api_key:
+        raise ValueError("Missing Ideogram API key")
+
+    name = graph.name
+    description = f"{name} ({graph.description})" if graph.description else name
+
+    prompt = (
+        f"Create a visually striking retro-futuristic vector pop art illustration prominently featuring "
+        f'"{name}" in bold typography. The image clearly and literally depicts a {description}, '
+        f"along with recognizable objects directly associated with the primary function of a {name}. "
+        f"Ensure the imagery is concrete, intuitive, and immediately understandable, clearly conveying the "
+        f"purpose of a {name}. Maintain vibrant, limited-palette colors, sharp vector lines, geometric "
+        f"shapes, flat illustration techniques, and solid colors without gradients or shading. Preserve a "
+        f"retro-futuristic aesthetic influenced by mid-century futurism and 1960s psychedelia, "
+        f"prioritizing clear visual storytelling and thematic clarity above all else."
+    )
+
+    custom_colors = [
+        "#000030",
+        "#1C0C47",
+        "#9900FF",
+        "#4285F4",
+        "#FFFFFF",
+    ]
+
+    # Run the Ideogram model block with the specified parameters
+    url = await IdeogramModelBlock().run_once(
+        IdeogramModelBlock.Input(
+            credentials=CredentialsMetaInput(
+                id=ideogram_credentials.id,
+                provider=ProviderName.IDEOGRAM,
+                title=ideogram_credentials.title,
+                type=ideogram_credentials.type,
+            ),
+            prompt=prompt,
+            ideogram_model_name=IdeogramModelName.V3,
+            aspect_ratio=AspectRatio.ASPECT_16_9,
+            magic_prompt_option=MagicPromptOption.OFF,
+            style_type=StyleType.AUTO,
+            upscale=UpscaleOption.NO_UPSCALE,
+            color_palette_name=ColorPalettePreset.NONE,
+            custom_color_palette=custom_colors,
+            seed=None,
+            negative_prompt=None,
+        ),
+        "result",
+        credentials=ideogram_credentials,
+    )
+    response = await Requests().get(url)
+    return io.BytesIO(response.content)
+
+
+async def generate_agent_image_v1(agent: BaseGraph | AgentGraph) -> io.BytesIO:
+    """
+    Generate an image for an agent using Flux model via Replicate API.
+
+    Args:
+        agent (Graph): The agent to generate an image for
+
+    Returns:
+        io.BytesIO: The generated image as bytes
+    """
+    try:
+        if not settings.secrets.replicate_api_key:
+            raise ValueError("Missing Replicate API key in settings")
+
+        # Construct prompt from agent details
+        prompt = f"Create a visually engaging app store thumbnail for the AI agent that highlights what it does in a clear and captivating way:\n- **Name**: {agent.name}\n- **Description**: {agent.description}\nFocus on showcasing its core functionality with an appealing design."
+
+        # Set up Replicate client
+        client = ReplicateClient(api_token=settings.secrets.replicate_api_key)
+
+        # Model parameters
+        input_data = {
+            "prompt": prompt,
+            "width": 1024,
+            "height": 768,
+            "aspect_ratio": "4:3",
+            "output_format": "jpg",
+            "output_quality": 90,
+            "num_inference_steps": 30,
+            "guidance": 3.5,
+            "negative_prompt": "blurry, low quality, distorted, deformed",
+            "disable_safety_checker": True,
+        }
+
+        try:
+            # Run model
+            output = client.run("black-forest-labs/flux-1.1-pro", input=input_data)
+
+            # Depending on the model output, extract the image URL or bytes
+            # If the output is a list of FileOutput or URLs
+            if isinstance(output, list) and output:
+                if isinstance(output[0], FileOutput):
+                    image_bytes = output[0].read()
+                else:
+                    # If it's a URL string, fetch the image bytes
+                    result_url = output[0]
+                    response = await Requests().get(result_url)
+                    image_bytes = response.content
+            elif isinstance(output, FileOutput):
+                image_bytes = output.read()
+            elif isinstance(output, str):
+                # Output is a URL
+                response = await Requests().get(output)
+                image_bytes = response.content
+            else:
+                raise RuntimeError("Unexpected output format from the model.")
+
+            return io.BytesIO(image_bytes)
+
+        except ReplicateError as e:
+            if e.status == 401:
+                raise RuntimeError("Invalid Replicate API token") from e
+            raise RuntimeError(f"Replicate API error: {str(e)}") from e
+
+    except Exception as e:
+        logger.exception("Failed to generate agent image")
+        raise RuntimeError(f"Image generation failed: {str(e)}")
diff --git a/autogpt_platform/backend/backend/server/v2/store/media.py b/autogpt_platform/backend/backend/server/v2/store/media.py
index 7ced3a842b9a..88542dd2c8f2 100644
--- a/autogpt_platform/backend/backend/server/v2/store/media.py
+++ b/autogpt_platform/backend/backend/server/v2/store/media.py
@@ -3,10 +3,12 @@
 import uuid
 
 import fastapi
-from google.cloud import storage
+from gcloud.aio import storage as async_storage
 
 import backend.server.v2.store.exceptions
+from backend.util.exceptions import MissingConfigError
 from backend.util.settings import Settings
+from backend.util.virus_scanner import scan_content_safe
 
 logger = logging.getLogger(__name__)
 
@@ -15,8 +17,51 @@
 MAX_FILE_SIZE = 50 * 1024 * 1024  # 50MB
 
 
-async def upload_media(user_id: str, file: fastapi.UploadFile) -> str:
+async def check_media_exists(user_id: str, filename: str) -> str | None:
+    """
+    Check if a media file exists in storage for the given user.
+    Tries both images and videos directories.
 
+    Args:
+        user_id (str): ID of the user who uploaded the file
+        filename (str): Name of the file to check
+
+    Returns:
+        str | None: URL of the blob if it exists, None otherwise
+    """
+    settings = Settings()
+    if not settings.config.media_gcs_bucket_name:
+        raise MissingConfigError("GCS media bucket is not configured")
+
+    async with async_storage.Storage() as async_client:
+        bucket_name = settings.config.media_gcs_bucket_name
+
+        # Check images
+        image_path = f"users/{user_id}/images/{filename}"
+        try:
+            await async_client.download_metadata(bucket_name, image_path)
+            # If we get here, the file exists - construct public URL
+            return f"https://storage.googleapis.com/{bucket_name}/{image_path}"
+        except Exception:
+            # File doesn't exist, continue to check videos
+            pass
+
+        # Check videos
+        video_path = f"users/{user_id}/videos/{filename}"
+        try:
+            await async_client.download_metadata(bucket_name, video_path)
+            # If we get here, the file exists - construct public URL
+            return f"https://storage.googleapis.com/{bucket_name}/{video_path}"
+        except Exception:
+            # File doesn't exist
+            pass
+
+        return None
+
+
+async def upload_media(
+    user_id: str, file: fastapi.UploadFile, use_file_name: bool = False
+) -> str:
     # Get file content for deeper validation
     try:
         content = await file.read(1024)  # Read first 1KB for validation
@@ -30,7 +75,7 @@ async def upload_media(user_id: str, file: fastapi.UploadFile) -> str:
     # Validate file signature/magic bytes
     if file.content_type in ALLOWED_IMAGE_TYPES:
         # Check image file signatures
-        if content.startswith(b"\xFF\xD8\xFF"):  # JPEG
+        if content.startswith(b"\xff\xd8\xff"):  # JPEG
             if file.content_type != "image/jpeg":
                 raise backend.server.v2.store.exceptions.InvalidFileTypeError(
                     "File signature does not match content type"
@@ -84,6 +129,9 @@ async def upload_media(user_id: str, file: fastapi.UploadFile) -> str:
     try:
         # Validate file type
         content_type = file.content_type
+        if content_type is None:
+            content_type = "image/jpeg"
+
         if (
             content_type not in ALLOWED_IMAGE_TYPES
             and content_type not in ALLOWED_VIDEO_TYPES
@@ -119,25 +167,34 @@ async def upload_media(user_id: str, file: fastapi.UploadFile) -> str:
         # Generate unique filename
         filename = file.filename or ""
         file_ext = os.path.splitext(filename)[1].lower()
-        unique_filename = f"{uuid.uuid4()}{file_ext}"
+        if use_file_name:
+            unique_filename = filename
+        else:
+            unique_filename = f"{uuid.uuid4()}{file_ext}"
 
         # Construct storage path
         media_type = "images" if content_type in ALLOWED_IMAGE_TYPES else "videos"
         storage_path = f"users/{user_id}/{media_type}/{unique_filename}"
 
         try:
-            storage_client = storage.Client()
-            bucket = storage_client.bucket(settings.config.media_gcs_bucket_name)
-            blob = bucket.blob(storage_path)
-            blob.content_type = content_type
+            async with async_storage.Storage() as async_client:
+                bucket_name = settings.config.media_gcs_bucket_name
 
-            file_bytes = await file.read()
-            blob.upload_from_string(file_bytes, content_type=content_type)
+                file_bytes = await file.read()
+                await scan_content_safe(file_bytes, filename=unique_filename)
 
-            public_url = blob.public_url
+                # Upload using pure async client
+                await async_client.upload(
+                    bucket_name, storage_path, file_bytes, content_type=content_type
+                )
+
+                # Construct public URL
+                public_url = (
+                    f"https://storage.googleapis.com/{bucket_name}/{storage_path}"
+                )
 
-            logger.info(f"Successfully uploaded file to: {storage_path}")
-            return public_url
+                logger.info(f"Successfully uploaded file to: {storage_path}")
+                return public_url
 
         except Exception as e:
             logger.error(f"GCS storage error: {str(e)}")
diff --git a/autogpt_platform/backend/backend/server/v2/store/media_test.py b/autogpt_platform/backend/backend/server/v2/store/media_test.py
index bd5222e4f749..3722d2fdc3db 100644
--- a/autogpt_platform/backend/backend/server/v2/store/media_test.py
+++ b/autogpt_platform/backend/backend/server/v2/store/media_test.py
@@ -1,5 +1,6 @@
 import io
 import unittest.mock
+from unittest.mock import AsyncMock
 
 import fastapi
 import pytest
@@ -21,15 +22,23 @@ def mock_settings(monkeypatch):
 
 @pytest.fixture
 def mock_storage_client(mocker):
-    mock_client = unittest.mock.MagicMock()
-    mock_bucket = unittest.mock.MagicMock()
-    mock_blob = unittest.mock.MagicMock()
+    # Mock the async gcloud.aio.storage.Storage client
+    mock_client = AsyncMock()
+    mock_client.upload = AsyncMock()
 
-    mock_client.bucket.return_value = mock_bucket
-    mock_bucket.blob.return_value = mock_blob
-    mock_blob.public_url = "http://test-url/media/laptop.jpeg"
+    # Mock context manager methods
+    mock_client.__aenter__ = AsyncMock(return_value=mock_client)
+    mock_client.__aexit__ = AsyncMock(return_value=None)
 
-    mocker.patch("google.cloud.storage.Client", return_value=mock_client)
+    # Mock the constructor to return our mock client
+    mocker.patch(
+        "backend.server.v2.store.media.async_storage.Storage", return_value=mock_client
+    )
+
+    # Mock virus scanner to avoid actual scanning
+    mocker.patch(
+        "backend.server.v2.store.media.scan_content_safe", new_callable=AsyncMock
+    )
 
     return mock_client
 
@@ -46,10 +55,11 @@ async def test_upload_media_success(mock_settings, mock_storage_client):
 
     result = await backend.server.v2.store.media.upload_media("test-user", test_file)
 
-    assert result == "http://test-url/media/laptop.jpeg"
-    mock_bucket = mock_storage_client.bucket.return_value
-    mock_blob = mock_bucket.blob.return_value
-    mock_blob.upload_from_string.assert_called_once()
+    assert result.startswith(
+        "https://storage.googleapis.com/test-bucket/users/test-user/images/"
+    )
+    assert result.endswith(".jpeg")
+    mock_storage_client.upload.assert_called_once()
 
 
 async def test_upload_media_invalid_type(mock_settings, mock_storage_client):
@@ -62,9 +72,7 @@ async def test_upload_media_invalid_type(mock_settings, mock_storage_client):
     with pytest.raises(backend.server.v2.store.exceptions.InvalidFileTypeError):
         await backend.server.v2.store.media.upload_media("test-user", test_file)
 
-    mock_bucket = mock_storage_client.bucket.return_value
-    mock_blob = mock_bucket.blob.return_value
-    mock_blob.upload_from_string.assert_not_called()
+    mock_storage_client.upload.assert_not_called()
 
 
 async def test_upload_media_missing_credentials(monkeypatch):
@@ -92,10 +100,11 @@ async def test_upload_media_video_type(mock_settings, mock_storage_client):
 
     result = await backend.server.v2.store.media.upload_media("test-user", test_file)
 
-    assert result == "http://test-url/media/laptop.jpeg"
-    mock_bucket = mock_storage_client.bucket.return_value
-    mock_blob = mock_bucket.blob.return_value
-    mock_blob.upload_from_string.assert_called_once()
+    assert result.startswith(
+        "https://storage.googleapis.com/test-bucket/users/test-user/videos/"
+    )
+    assert result.endswith(".mp4")
+    mock_storage_client.upload.assert_called_once()
 
 
 async def test_upload_media_file_too_large(mock_settings, mock_storage_client):
@@ -132,7 +141,10 @@ async def test_upload_media_png_success(mock_settings, mock_storage_client):
     )
 
     result = await backend.server.v2.store.media.upload_media("test-user", test_file)
-    assert result == "http://test-url/media/laptop.jpeg"
+    assert result.startswith(
+        "https://storage.googleapis.com/test-bucket/users/test-user/images/"
+    )
+    assert result.endswith(".png")
 
 
 async def test_upload_media_gif_success(mock_settings, mock_storage_client):
@@ -143,7 +155,10 @@ async def test_upload_media_gif_success(mock_settings, mock_storage_client):
     )
 
     result = await backend.server.v2.store.media.upload_media("test-user", test_file)
-    assert result == "http://test-url/media/laptop.jpeg"
+    assert result.startswith(
+        "https://storage.googleapis.com/test-bucket/users/test-user/images/"
+    )
+    assert result.endswith(".gif")
 
 
 async def test_upload_media_webp_success(mock_settings, mock_storage_client):
@@ -154,7 +169,10 @@ async def test_upload_media_webp_success(mock_settings, mock_storage_client):
     )
 
     result = await backend.server.v2.store.media.upload_media("test-user", test_file)
-    assert result == "http://test-url/media/laptop.jpeg"
+    assert result.startswith(
+        "https://storage.googleapis.com/test-bucket/users/test-user/images/"
+    )
+    assert result.endswith(".webp")
 
 
 async def test_upload_media_webm_success(mock_settings, mock_storage_client):
@@ -165,7 +183,10 @@ async def test_upload_media_webm_success(mock_settings, mock_storage_client):
     )
 
     result = await backend.server.v2.store.media.upload_media("test-user", test_file)
-    assert result == "http://test-url/media/laptop.jpeg"
+    assert result.startswith(
+        "https://storage.googleapis.com/test-bucket/users/test-user/videos/"
+    )
+    assert result.endswith(".webm")
 
 
 async def test_upload_media_mismatched_signature(mock_settings, mock_storage_client):
diff --git a/autogpt_platform/backend/backend/server/v2/store/model.py b/autogpt_platform/backend/backend/server/v2/store/model.py
index e7a4e7c411c0..a9afaa65964c 100644
--- a/autogpt_platform/backend/backend/server/v2/store/model.py
+++ b/autogpt_platform/backend/backend/server/v2/store/model.py
@@ -4,26 +4,15 @@
 import prisma.enums
 import pydantic
 
-
-class Pagination(pydantic.BaseModel):
-    total_items: int = pydantic.Field(
-        description="Total number of items.", examples=[42]
-    )
-    total_pages: int = pydantic.Field(
-        description="Total number of pages.", examples=[97]
-    )
-    current_page: int = pydantic.Field(
-        description="Current_page page number.", examples=[1]
-    )
-    page_size: int = pydantic.Field(
-        description="Number of items per page.", examples=[25]
-    )
+from backend.util.models import Pagination
 
 
 class MyAgent(pydantic.BaseModel):
     agent_id: str
     agent_version: int
     agent_name: str
+    agent_image: str | None = None
+    description: str
     last_edited: datetime.datetime
 
 
@@ -65,6 +54,9 @@ class StoreAgentDetails(pydantic.BaseModel):
     versions: list[str]
     last_updated: datetime.datetime
 
+    active_version_id: str | None = None
+    has_approved_version: bool = False
+
 
 class Creator(pydantic.BaseModel):
     name: str
@@ -114,6 +106,18 @@ class StoreSubmission(pydantic.BaseModel):
     status: prisma.enums.SubmissionStatus
     runs: int
     rating: float
+    store_listing_version_id: str | None = None
+    version: int | None = None  # Actual version number from the database
+
+    reviewer_id: str | None = None
+    review_comments: str | None = None  # External comments visible to creator
+    internal_comments: str | None = None  # Private notes for admin use only
+    reviewed_at: datetime.datetime | None = None
+    changes_summary: str | None = None
+
+    # Additional fields for editing
+    video_url: str | None = None
+    categories: list[str] = []
 
 
 class StoreSubmissionsResponse(pydantic.BaseModel):
@@ -121,6 +125,27 @@ class StoreSubmissionsResponse(pydantic.BaseModel):
     pagination: Pagination
 
 
+class StoreListingWithVersions(pydantic.BaseModel):
+    """A store listing with its version history"""
+
+    listing_id: str
+    slug: str
+    agent_id: str
+    agent_version: int
+    active_version_id: str | None = None
+    has_approved_version: bool = False
+    creator_email: str | None = None
+    latest_version: StoreSubmission | None = None
+    versions: list[StoreSubmission] = []
+
+
+class StoreListingsWithVersionsResponse(pydantic.BaseModel):
+    """Response model for listings with version history"""
+
+    listings: list[StoreListingWithVersions]
+    pagination: Pagination
+
+
 class StoreSubmissionRequest(pydantic.BaseModel):
     agent_id: str
     agent_version: int
@@ -131,6 +156,17 @@ class StoreSubmissionRequest(pydantic.BaseModel):
     image_urls: list[str] = []
     description: str = ""
     categories: list[str] = []
+    changes_summary: str | None = None
+
+
+class StoreSubmissionEditRequest(pydantic.BaseModel):
+    name: str
+    sub_heading: str
+    video_url: str | None = None
+    image_urls: list[str] = []
+    description: str = ""
+    categories: list[str] = []
+    changes_summary: str | None = None
 
 
 class ProfileDetails(pydantic.BaseModel):
@@ -150,3 +186,10 @@ class StoreReviewCreate(pydantic.BaseModel):
     store_listing_version_id: str
     score: int
     comments: str | None = None
+
+
+class ReviewSubmissionRequest(pydantic.BaseModel):
+    store_listing_version_id: str
+    is_approved: bool
+    comments: str  # External comments visible to creator
+    internal_comments: str | None = None  # Private admin notes
diff --git a/autogpt_platform/backend/backend/server/v2/store/routes.py b/autogpt_platform/backend/backend/server/v2/store/routes.py
index 3ecfce29c9ca..dfe14b3ef044 100644
--- a/autogpt_platform/backend/backend/server/v2/store/routes.py
+++ b/autogpt_platform/backend/backend/server/v2/store/routes.py
@@ -1,14 +1,22 @@
 import logging
+import tempfile
 import typing
+import urllib.parse
 
 import autogpt_libs.auth.depends
 import autogpt_libs.auth.middleware
 import fastapi
 import fastapi.responses
+from autogpt_libs.auth.depends import auth_middleware, get_user_id
 
+import backend.data.block
+import backend.data.graph
 import backend.server.v2.store.db
+import backend.server.v2.store.exceptions
+import backend.server.v2.store.image_gen
 import backend.server.v2.store.media
 import backend.server.v2.store.model
+import backend.util.json
 
 logger = logging.getLogger(__name__)
 
@@ -20,34 +28,52 @@
 ##############################################
 
 
-@router.get("/profile", tags=["store", "private"])
+@router.get(
+    "/profile",
+    summary="Get user profile",
+    tags=["store", "private"],
+    response_model=backend.server.v2.store.model.ProfileDetails,
+)
 async def get_profile(
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
-    ]
-) -> backend.server.v2.store.model.ProfileDetails:
+    ],
+):
     """
     Get the profile details for the authenticated user.
     """
     try:
         profile = await backend.server.v2.store.db.get_user_profile(user_id)
+        if profile is None:
+            return fastapi.responses.JSONResponse(
+                status_code=404,
+                content={"detail": "Profile not found"},
+            )
         return profile
-    except Exception:
-        logger.exception("Exception occurred whilst getting user profile")
-        raise
+    except Exception as e:
+        logger.exception("Failed to fetch user profile for %s: %s", user_id, e)
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "Failed to retrieve user profile",
+                "hint": "Check database connection.",
+            },
+        )
 
 
 @router.post(
     "/profile",
+    summary="Update user profile",
     tags=["store", "private"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=backend.server.v2.store.model.CreatorDetails,
 )
 async def update_or_create_profile(
     profile: backend.server.v2.store.model.Profile,
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
     ],
-) -> backend.server.v2.store.model.CreatorDetails:
+):
     """
     Update the store profile for the authenticated user.
 
@@ -62,13 +88,19 @@ async def update_or_create_profile(
         HTTPException: If there is an error updating the profile
     """
     try:
-        updated_profile = await backend.server.v2.store.db.update_or_create_profile(
+        updated_profile = await backend.server.v2.store.db.update_profile(
             user_id=user_id, profile=profile
         )
         return updated_profile
-    except Exception:
-        logger.exception("Exception occurred whilst updating profile")
-        raise
+    except Exception as e:
+        logger.exception("Failed to update profile for user %s: %s", user_id, e)
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "Failed to update user profile",
+                "hint": "Validate request data.",
+            },
+        )
 
 
 ##############################################
@@ -76,7 +108,12 @@ async def update_or_create_profile(
 ##############################################
 
 
-@router.get("/agents", tags=["store", "public"])
+@router.get(
+    "/agents",
+    summary="List store agents",
+    tags=["store", "public"],
+    response_model=backend.server.v2.store.model.StoreAgentsResponse,
+)
 async def get_agents(
     featured: bool = False,
     creator: str | None = None,
@@ -85,7 +122,7 @@ async def get_agents(
     category: str | None = None,
     page: int = 1,
     page_size: int = 20,
-) -> backend.server.v2.store.model.StoreAgentsResponse:
+):
     """
     Get a paginated list of agents from the store with optional filtering and sorting.
 
@@ -125,7 +162,7 @@ async def get_agents(
     try:
         agents = await backend.server.v2.store.db.get_store_agents(
             featured=featured,
-            creator=creator,
+            creators=[creator] if creator else None,
             sorted_by=sorted_by,
             search_query=search_query,
             category=category,
@@ -133,34 +170,104 @@ async def get_agents(
             page_size=page_size,
         )
         return agents
-    except Exception:
-        logger.exception("Exception occured whilst getting store agents")
-        raise
+    except Exception as e:
+        logger.exception("Failed to retrieve store agents: %s", e)
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "Failed to retrieve store agents",
+                "hint": "Check database or search parameters.",
+            },
+        )
 
 
-@router.get("/agents/{username}/{agent_name}", tags=["store", "public"])
-async def get_agent(
-    username: str, agent_name: str
-) -> backend.server.v2.store.model.StoreAgentDetails:
+@router.get(
+    "/agents/{username}/{agent_name}",
+    summary="Get specific agent",
+    tags=["store", "public"],
+    response_model=backend.server.v2.store.model.StoreAgentDetails,
+)
+async def get_agent(username: str, agent_name: str):
     """
     This is only used on the AgentDetails Page
 
     It returns the store listing agents details.
     """
     try:
+        username = urllib.parse.unquote(username).lower()
+        # URL decode the agent name since it comes from the URL path
+        agent_name = urllib.parse.unquote(agent_name).lower()
         agent = await backend.server.v2.store.db.get_store_agent_details(
             username=username, agent_name=agent_name
         )
         return agent
     except Exception:
         logger.exception("Exception occurred whilst getting store agent details")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "An error occurred while retrieving the store agent details"
+            },
+        )
+
+
+@router.get(
+    "/graph/{store_listing_version_id}",
+    summary="Get agent graph",
+    tags=["store"],
+)
+async def get_graph_meta_by_store_listing_version_id(
+    store_listing_version_id: str,
+    _: typing.Annotated[str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)],
+):
+    """
+    Get Agent Graph from Store Listing Version ID.
+    """
+    try:
+        graph = await backend.server.v2.store.db.get_available_graph(
+            store_listing_version_id
+        )
+        return graph
+    except Exception:
+        logger.exception("Exception occurred whilst getting agent graph")
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while retrieving the agent graph"},
+        )
+
+
+@router.get(
+    "/agents/{store_listing_version_id}",
+    summary="Get agent by version",
+    tags=["store"],
+    response_model=backend.server.v2.store.model.StoreAgentDetails,
+)
+async def get_store_agent(
+    store_listing_version_id: str,
+    _: typing.Annotated[str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)],
+):
+    """
+    Get Store Agent Details from Store Listing Version ID.
+    """
+    try:
+        agent = await backend.server.v2.store.db.get_store_agent_by_version_id(
+            store_listing_version_id
+        )
+        return agent
+    except Exception:
+        logger.exception("Exception occurred whilst getting store agent")
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while retrieving the store agent"},
+        )
 
 
 @router.post(
     "/agents/{username}/{agent_name}/review",
+    summary="Create agent review",
     tags=["store"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=backend.server.v2.store.model.StoreReview,
 )
 async def create_review(
     username: str,
@@ -169,7 +276,7 @@ async def create_review(
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
     ],
-) -> backend.server.v2.store.model.StoreReview:
+):
     """
     Create a review for a store agent.
 
@@ -183,6 +290,8 @@ async def create_review(
         The created review
     """
     try:
+        username = urllib.parse.unquote(username).lower()
+        agent_name = urllib.parse.unquote(agent_name)
         # Create the review
         created_review = await backend.server.v2.store.db.create_store_review(
             user_id=user_id,
@@ -194,7 +303,10 @@ async def create_review(
         return created_review
     except Exception:
         logger.exception("Exception occurred whilst creating store review")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while creating the store review"},
+        )
 
 
 ##############################################
@@ -202,14 +314,19 @@ async def create_review(
 ##############################################
 
 
-@router.get("/creators", tags=["store", "public"])
+@router.get(
+    "/creators",
+    summary="List store creators",
+    tags=["store", "public"],
+    response_model=backend.server.v2.store.model.CreatorsResponse,
+)
 async def get_creators(
     featured: bool = False,
     search_query: str | None = None,
     sorted_by: str | None = None,
     page: int = 1,
     page_size: int = 20,
-) -> backend.server.v2.store.model.CreatorsResponse:
+):
     """
     This is needed for:
     - Home Page Featured Creators
@@ -243,23 +360,39 @@ async def get_creators(
         return creators
     except Exception:
         logger.exception("Exception occurred whilst getting store creators")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while retrieving the store creators"},
+        )
 
 
-@router.get("/creator/{username}", tags=["store", "public"])
-async def get_creator(username: str) -> backend.server.v2.store.model.CreatorDetails:
+@router.get(
+    "/creator/{username}",
+    summary="Get creator details",
+    tags=["store", "public"],
+    response_model=backend.server.v2.store.model.CreatorDetails,
+)
+async def get_creator(
+    username: str,
+):
     """
     Get the details of a creator
     - Creator Details Page
     """
     try:
+        username = urllib.parse.unquote(username).lower()
         creator = await backend.server.v2.store.db.get_store_creator_details(
-            username=username
+            username=username.lower()
         )
         return creator
     except Exception:
         logger.exception("Exception occurred whilst getting creator details")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "An error occurred while retrieving the creator details"
+            },
+        )
 
 
 ############################################
@@ -267,33 +400,44 @@ async def get_creator(username: str) -> backend.server.v2.store.model.CreatorDet
 ############################################
 @router.get(
     "/myagents",
+    summary="Get my agents",
     tags=["store", "private"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=backend.server.v2.store.model.MyAgentsResponse,
 )
 async def get_my_agents(
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
-    ]
-) -> backend.server.v2.store.model.MyAgentsResponse:
+    ],
+    page: typing.Annotated[int, fastapi.Query(ge=1)] = 1,
+    page_size: typing.Annotated[int, fastapi.Query(ge=1)] = 20,
+):
     try:
-        agents = await backend.server.v2.store.db.get_my_agents(user_id)
+        agents = await backend.server.v2.store.db.get_my_agents(
+            user_id, page=page, page_size=page_size
+        )
         return agents
     except Exception:
         logger.exception("Exception occurred whilst getting my agents")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while retrieving the my agents"},
+        )
 
 
 @router.delete(
     "/submissions/{submission_id}",
+    summary="Delete store submission",
     tags=["store", "private"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=bool,
 )
 async def delete_submission(
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
     ],
     submission_id: str,
-) -> bool:
+):
     """
     Delete a store listing submission.
 
@@ -312,13 +456,18 @@ async def delete_submission(
         return result
     except Exception:
         logger.exception("Exception occurred whilst deleting store submission")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while deleting the store submission"},
+        )
 
 
 @router.get(
     "/submissions",
+    summary="List my submissions",
     tags=["store", "private"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=backend.server.v2.store.model.StoreSubmissionsResponse,
 )
 async def get_submissions(
     user_id: typing.Annotated[
@@ -326,7 +475,7 @@ async def get_submissions(
     ],
     page: int = 1,
     page_size: int = 20,
-) -> backend.server.v2.store.model.StoreSubmissionsResponse:
+):
     """
     Get a paginated list of store submissions for the authenticated user.
 
@@ -359,20 +508,27 @@ async def get_submissions(
         return listings
     except Exception:
         logger.exception("Exception occurred whilst getting store submissions")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={
+                "detail": "An error occurred while retrieving the store submissions"
+            },
+        )
 
 
 @router.post(
     "/submissions",
+    summary="Create store submission",
     tags=["store", "private"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=backend.server.v2.store.model.StoreSubmission,
 )
 async def create_submission(
     submission_request: backend.server.v2.store.model.StoreSubmissionRequest,
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
     ],
-) -> backend.server.v2.store.model.StoreSubmission:
+):
     """
     Create a new store listing submission.
 
@@ -387,7 +543,7 @@ async def create_submission(
         HTTPException: If there is an error creating the submission
     """
     try:
-        submission = await backend.server.v2.store.db.create_store_submission(
+        return await backend.server.v2.store.db.create_store_submission(
             user_id=user_id,
             agent_id=submission_request.agent_id,
             agent_version=submission_request.agent_version,
@@ -398,15 +554,60 @@ async def create_submission(
             description=submission_request.description,
             sub_heading=submission_request.sub_heading,
             categories=submission_request.categories,
+            changes_summary=submission_request.changes_summary or "Initial Submission",
         )
-        return submission
     except Exception:
         logger.exception("Exception occurred whilst creating store submission")
-        raise
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while creating the store submission"},
+        )
+
+
+@router.put(
+    "/submissions/{store_listing_version_id}",
+    summary="Edit store submission",
+    tags=["store", "private"],
+    dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+    response_model=backend.server.v2.store.model.StoreSubmission,
+)
+async def edit_submission(
+    store_listing_version_id: str,
+    submission_request: backend.server.v2.store.model.StoreSubmissionEditRequest,
+    user_id: typing.Annotated[
+        str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
+    ],
+):
+    """
+    Edit an existing store listing submission.
+
+    Args:
+        store_listing_version_id (str): ID of the store listing version to edit
+        submission_request (StoreSubmissionRequest): The updated submission details
+        user_id (str): ID of the authenticated user editing the listing
+
+    Returns:
+        StoreSubmission: The updated store submission
+
+    Raises:
+        HTTPException: If there is an error editing the submission
+    """
+    return await backend.server.v2.store.db.edit_store_submission(
+        user_id=user_id,
+        store_listing_version_id=store_listing_version_id,
+        name=submission_request.name,
+        video_url=submission_request.video_url,
+        image_urls=submission_request.image_urls,
+        description=submission_request.description,
+        sub_heading=submission_request.sub_heading,
+        categories=submission_request.categories,
+        changes_summary=submission_request.changes_summary,
+    )
 
 
 @router.post(
     "/submissions/media",
+    summary="Upload submission media",
     tags=["store", "private"],
     dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
 )
@@ -415,7 +616,7 @@ async def upload_submission_media(
     user_id: typing.Annotated[
         str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
     ],
-) -> str:
+):
     """
     Upload media (images/videos) for a store listing submission.
 
@@ -434,8 +635,136 @@ async def upload_submission_media(
             user_id=user_id, file=file
         )
         return media_url
-    except Exception as e:
+    except backend.server.v2.store.exceptions.VirusDetectedError as e:
+        logger.warning(f"Virus detected in uploaded file: {e.threat_name}")
+        return fastapi.responses.JSONResponse(
+            status_code=400,
+            content={
+                "detail": f"File rejected due to virus detection: {e.threat_name}",
+                "error_type": "virus_detected",
+                "threat_name": e.threat_name,
+            },
+        )
+    except backend.server.v2.store.exceptions.VirusScanError as e:
+        logger.error(f"Virus scanning failed: {str(e)}")
+        return fastapi.responses.JSONResponse(
+            status_code=503,
+            content={
+                "detail": "Virus scanning service unavailable. Please try again later.",
+                "error_type": "virus_scan_failed",
+            },
+        )
+    except Exception:
         logger.exception("Exception occurred whilst uploading submission media")
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"Failed to upload media file: {str(e)}"
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while uploading the media file"},
+        )
+
+
+@router.post(
+    "/submissions/generate_image",
+    summary="Generate submission image",
+    tags=["store", "private"],
+    dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)],
+)
+async def generate_image(
+    agent_id: str,
+    user_id: typing.Annotated[
+        str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id)
+    ],
+) -> fastapi.responses.Response:
+    """
+    Generate an image for a store listing submission.
+
+    Args:
+        agent_id (str): ID of the agent to generate an image for
+        user_id (str): ID of the authenticated user
+
+    Returns:
+        JSONResponse: JSON containing the URL of the generated image
+    """
+    try:
+        agent = await backend.data.graph.get_graph(agent_id, user_id=user_id)
+
+        if not agent:
+            raise fastapi.HTTPException(
+                status_code=404, detail=f"Agent with ID {agent_id} not found"
+            )
+        # Use .jpeg here since we are generating JPEG images
+        filename = f"agent_{agent_id}.jpeg"
+
+        existing_url = await backend.server.v2.store.media.check_media_exists(
+            user_id, filename
+        )
+        if existing_url:
+            logger.info(f"Using existing image for agent {agent_id}")
+            return fastapi.responses.JSONResponse(content={"image_url": existing_url})
+        # Generate agent image as JPEG
+        image = await backend.server.v2.store.image_gen.generate_agent_image(
+            agent=agent
+        )
+
+        # Create UploadFile with the correct filename and content_type
+        image_file = fastapi.UploadFile(
+            file=image,
+            filename=filename,
+        )
+
+        image_url = await backend.server.v2.store.media.upload_media(
+            user_id=user_id, file=image_file, use_file_name=True
+        )
+
+        return fastapi.responses.JSONResponse(content={"image_url": image_url})
+    except Exception:
+        logger.exception("Exception occurred whilst generating submission image")
+        return fastapi.responses.JSONResponse(
+            status_code=500,
+            content={"detail": "An error occurred while generating the image"},
+        )
+
+
+@router.get(
+    "/download/agents/{store_listing_version_id}",
+    summary="Download agent file",
+    tags=["store", "public"],
+)
+async def download_agent_file(
+    request: fastapi.Request,
+    store_listing_version_id: str = fastapi.Path(
+        ..., description="The ID of the agent to download"
+    ),
+) -> fastapi.responses.FileResponse:
+    """
+    Download the agent file by streaming its content.
+
+    Args:
+        store_listing_version_id (str): The ID of the agent to download
+
+    Returns:
+        StreamingResponse: A streaming response containing the agent's graph data.
+
+    Raises:
+        HTTPException: If the agent is not found or an unexpected error occurs.
+    """
+    try:
+        user_id = get_user_id(await auth_middleware(request))
+    except fastapi.HTTPException:
+        user_id = None
+
+    graph_data = await backend.server.v2.store.db.get_agent(
+        user_id=user_id,
+        store_listing_version_id=store_listing_version_id,
+    )
+    file_name = f"agent_{graph_data.id}_v{graph_data.version or 'latest'}.json"
+
+    # Sending graph as a stream (similar to marketplace v1)
+    with tempfile.NamedTemporaryFile(
+        mode="w", suffix=".json", delete=False
+    ) as tmp_file:
+        tmp_file.write(backend.util.json.dumps(graph_data))
+        tmp_file.flush()
+
+        return fastapi.responses.FileResponse(
+            tmp_file.name, filename=file_name, media_type="application/json"
         )
diff --git a/autogpt_platform/backend/backend/server/v2/store/routes_test.py b/autogpt_platform/backend/backend/server/v2/store/routes_test.py
index ae4496f9eb2f..86eb82e5340d 100644
--- a/autogpt_platform/backend/backend/server/v2/store/routes_test.py
+++ b/autogpt_platform/backend/backend/server/v2/store/routes_test.py
@@ -1,4 +1,5 @@
 import datetime
+import json
 
 import autogpt_libs.auth.depends
 import autogpt_libs.auth.middleware
@@ -6,22 +7,27 @@
 import fastapi.testclient
 import prisma.enums
 import pytest_mock
+from pytest_snapshot.plugin import Snapshot
 
 import backend.server.v2.store.model
 import backend.server.v2.store.routes
 
+# Using a fixed timestamp for reproducible tests
+# 2023 date is intentionally used to ensure tests work regardless of current year
+FIXED_NOW = datetime.datetime(2023, 1, 1, 0, 0, 0)
+
 app = fastapi.FastAPI()
 app.include_router(backend.server.v2.store.routes.router)
 
 client = fastapi.testclient.TestClient(app)
 
 
-def override_auth_middleware():
+def override_auth_middleware() -> dict[str, str]:
     """Override auth middleware for testing"""
     return {"sub": "test-user-id"}
 
 
-def override_get_user_id():
+def override_get_user_id() -> str:
     """Override get_user_id for testing"""
     return "test-user-id"
 
@@ -32,7 +38,10 @@ def override_get_user_id():
 app.dependency_overrides[autogpt_libs.auth.depends.get_user_id] = override_get_user_id
 
 
-def test_get_agents_defaults(mocker: pytest_mock.MockFixture):
+def test_get_agents_defaults(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[],
         pagination=backend.server.v2.store.model.Pagination(
@@ -52,9 +61,12 @@ def test_get_agents_defaults(mocker: pytest_mock.MockFixture):
     )
     assert data.pagination.total_pages == 0
     assert data.agents == []
+
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "def_agts")
     mock_db_call.assert_called_once_with(
         featured=False,
-        creator=None,
+        creators=None,
         sorted_by=None,
         search_query=None,
         category=None,
@@ -63,7 +75,10 @@ def test_get_agents_defaults(mocker: pytest_mock.MockFixture):
     )
 
 
-def test_get_agents_featured(mocker: pytest_mock.MockFixture):
+def test_get_agents_featured(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[
             backend.server.v2.store.model.StoreAgent(
@@ -94,9 +109,11 @@ def test_get_agents_featured(mocker: pytest_mock.MockFixture):
     )
     assert len(data.agents) == 1
     assert data.agents[0].slug == "featured-agent"
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "feat_agts")
     mock_db_call.assert_called_once_with(
         featured=True,
-        creator=None,
+        creators=None,
         sorted_by=None,
         search_query=None,
         category=None,
@@ -105,7 +122,10 @@ def test_get_agents_featured(mocker: pytest_mock.MockFixture):
     )
 
 
-def test_get_agents_by_creator(mocker: pytest_mock.MockFixture):
+def test_get_agents_by_creator(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[
             backend.server.v2.store.model.StoreAgent(
@@ -136,9 +156,11 @@ def test_get_agents_by_creator(mocker: pytest_mock.MockFixture):
     )
     assert len(data.agents) == 1
     assert data.agents[0].creator == "specific-creator"
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "agts_by_creator")
     mock_db_call.assert_called_once_with(
         featured=False,
-        creator="specific-creator",
+        creators=["specific-creator"],
         sorted_by=None,
         search_query=None,
         category=None,
@@ -147,7 +169,10 @@ def test_get_agents_by_creator(mocker: pytest_mock.MockFixture):
     )
 
 
-def test_get_agents_sorted(mocker: pytest_mock.MockFixture):
+def test_get_agents_sorted(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[
             backend.server.v2.store.model.StoreAgent(
@@ -178,9 +203,11 @@ def test_get_agents_sorted(mocker: pytest_mock.MockFixture):
     )
     assert len(data.agents) == 1
     assert data.agents[0].runs == 1000
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "agts_sorted")
     mock_db_call.assert_called_once_with(
         featured=False,
-        creator=None,
+        creators=None,
         sorted_by="runs",
         search_query=None,
         category=None,
@@ -189,7 +216,10 @@ def test_get_agents_sorted(mocker: pytest_mock.MockFixture):
     )
 
 
-def test_get_agents_search(mocker: pytest_mock.MockFixture):
+def test_get_agents_search(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[
             backend.server.v2.store.model.StoreAgent(
@@ -220,9 +250,11 @@ def test_get_agents_search(mocker: pytest_mock.MockFixture):
     )
     assert len(data.agents) == 1
     assert "specific" in data.agents[0].description.lower()
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "agts_search")
     mock_db_call.assert_called_once_with(
         featured=False,
-        creator=None,
+        creators=None,
         sorted_by=None,
         search_query="specific",
         category=None,
@@ -231,7 +263,10 @@ def test_get_agents_search(mocker: pytest_mock.MockFixture):
     )
 
 
-def test_get_agents_category(mocker: pytest_mock.MockFixture):
+def test_get_agents_category(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[
             backend.server.v2.store.model.StoreAgent(
@@ -261,9 +296,11 @@ def test_get_agents_category(mocker: pytest_mock.MockFixture):
         response.json()
     )
     assert len(data.agents) == 1
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "agts_category")
     mock_db_call.assert_called_once_with(
         featured=False,
-        creator=None,
+        creators=None,
         sorted_by=None,
         search_query=None,
         category="test-category",
@@ -272,7 +309,10 @@ def test_get_agents_category(mocker: pytest_mock.MockFixture):
     )
 
 
-def test_get_agents_pagination(mocker: pytest_mock.MockFixture):
+def test_get_agents_pagination(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentsResponse(
         agents=[
             backend.server.v2.store.model.StoreAgent(
@@ -305,9 +345,11 @@ def test_get_agents_pagination(mocker: pytest_mock.MockFixture):
     assert len(data.agents) == 5
     assert data.pagination.current_page == 2
     assert data.pagination.page_size == 5
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "agts_pagination")
     mock_db_call.assert_called_once_with(
         featured=False,
-        creator=None,
+        creators=None,
         sorted_by=None,
         search_query=None,
         category=None,
@@ -334,7 +376,10 @@ def test_get_agents_malformed_request(mocker: pytest_mock.MockFixture):
     mock_db_call.assert_not_called()
 
 
-def test_get_agent_details(mocker: pytest_mock.MockFixture):
+def test_get_agent_details(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreAgentDetails(
         store_listing_version_id="test-version-id",
         slug="test-agent",
@@ -349,7 +394,7 @@ def test_get_agent_details(mocker: pytest_mock.MockFixture):
         runs=100,
         rating=4.5,
         versions=["1.0.0", "1.1.0"],
-        last_updated=datetime.datetime.now(),
+        last_updated=FIXED_NOW,
     )
     mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agent_details")
     mock_db_call.return_value = mocked_value
@@ -362,10 +407,15 @@ def test_get_agent_details(mocker: pytest_mock.MockFixture):
     )
     assert data.agent_name == "Test Agent"
     assert data.creator == "creator1"
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "agt_details")
     mock_db_call.assert_called_once_with(username="creator1", agent_name="test-agent")
 
 
-def test_get_creators_defaults(mocker: pytest_mock.MockFixture):
+def test_get_creators_defaults(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.CreatorsResponse(
         creators=[],
         pagination=backend.server.v2.store.model.Pagination(
@@ -386,12 +436,17 @@ def test_get_creators_defaults(mocker: pytest_mock.MockFixture):
     )
     assert data.pagination.total_pages == 0
     assert data.creators == []
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "def_creators")
     mock_db_call.assert_called_once_with(
         featured=False, search_query=None, sorted_by=None, page=1, page_size=20
     )
 
 
-def test_get_creators_pagination(mocker: pytest_mock.MockFixture):
+def test_get_creators_pagination(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.CreatorsResponse(
         creators=[
             backend.server.v2.store.model.Creator(
@@ -425,6 +480,8 @@ def test_get_creators_pagination(mocker: pytest_mock.MockFixture):
     assert len(data.creators) == 5
     assert data.pagination.current_page == 2
     assert data.pagination.page_size == 5
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "creators_pagination")
     mock_db_call.assert_called_once_with(
         featured=False, search_query=None, sorted_by=None, page=2, page_size=5
     )
@@ -448,7 +505,10 @@ def test_get_creators_malformed_request(mocker: pytest_mock.MockFixture):
     mock_db_call.assert_not_called()
 
 
-def test_get_creator_details(mocker: pytest_mock.MockFixture):
+def test_get_creator_details(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.CreatorDetails(
         name="Test User",
         username="creator1",
@@ -468,17 +528,22 @@ def test_get_creator_details(mocker: pytest_mock.MockFixture):
     data = backend.server.v2.store.model.CreatorDetails.model_validate(response.json())
     assert data.username == "creator1"
     assert data.name == "Test User"
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "creator_details")
     mock_db_call.assert_called_once_with(username="creator1")
 
 
-def test_get_submissions_success(mocker: pytest_mock.MockFixture):
+def test_get_submissions_success(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreSubmissionsResponse(
         submissions=[
             backend.server.v2.store.model.StoreSubmission(
                 name="Test Agent",
                 description="Test agent description",
                 image_urls=["test.jpg"],
-                date_submitted=datetime.datetime.now(),
+                date_submitted=FIXED_NOW,
                 status=prisma.enums.SubmissionStatus.APPROVED,
                 runs=50,
                 rating=4.2,
@@ -486,6 +551,8 @@ def test_get_submissions_success(mocker: pytest_mock.MockFixture):
                 agent_version=1,
                 sub_heading="Test agent subheading",
                 slug="test-agent",
+                video_url="test.mp4",
+                categories=["test-category"],
             )
         ],
         pagination=backend.server.v2.store.model.Pagination(
@@ -507,10 +574,15 @@ def test_get_submissions_success(mocker: pytest_mock.MockFixture):
     assert len(data.submissions) == 1
     assert data.submissions[0].name == "Test Agent"
     assert data.pagination.current_page == 1
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "sub_success")
     mock_db_call.assert_called_once_with(user_id="test-user-id", page=1, page_size=20)
 
 
-def test_get_submissions_pagination(mocker: pytest_mock.MockFixture):
+def test_get_submissions_pagination(
+    mocker: pytest_mock.MockFixture,
+    snapshot: Snapshot,
+) -> None:
     mocked_value = backend.server.v2.store.model.StoreSubmissionsResponse(
         submissions=[],
         pagination=backend.server.v2.store.model.Pagination(
@@ -531,6 +603,8 @@ def test_get_submissions_pagination(mocker: pytest_mock.MockFixture):
     )
     assert data.pagination.current_page == 2
     assert data.pagination.page_size == 5
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(response.json(), indent=2), "sub_pagination")
     mock_db_call.assert_called_once_with(user_id="test-user-id", page=2, page_size=5)
 
 
diff --git a/autogpt_platform/backend/backend/server/v2/turnstile/__init__.py b/autogpt_platform/backend/backend/server/v2/turnstile/__init__.py
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/backend/backend/server/v2/turnstile/models.py b/autogpt_platform/backend/backend/server/v2/turnstile/models.py
new file mode 100644
index 000000000000..9410b8951166
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/turnstile/models.py
@@ -0,0 +1,30 @@
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+
+class TurnstileVerifyRequest(BaseModel):
+    """Request model for verifying a Turnstile token."""
+
+    token: str = Field(description="The Turnstile token to verify")
+    action: Optional[str] = Field(
+        default=None, description="The action that the user is attempting to perform"
+    )
+
+
+class TurnstileVerifyResponse(BaseModel):
+    """Response model for the Turnstile verification endpoint."""
+
+    success: bool = Field(description="Whether the token verification was successful")
+    error: Optional[str] = Field(
+        default=None, description="Error message if verification failed"
+    )
+    challenge_timestamp: Optional[str] = Field(
+        default=None, description="Timestamp of the challenge (ISO format)"
+    )
+    hostname: Optional[str] = Field(
+        default=None, description="Hostname of the site where the challenge was solved"
+    )
+    action: Optional[str] = Field(
+        default=None, description="The action associated with this verification"
+    )
diff --git a/autogpt_platform/backend/backend/server/v2/turnstile/routes.py b/autogpt_platform/backend/backend/server/v2/turnstile/routes.py
new file mode 100644
index 000000000000..7a4fe5bafa7c
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/turnstile/routes.py
@@ -0,0 +1,112 @@
+import logging
+
+import aiohttp
+from fastapi import APIRouter
+
+from backend.util.settings import Settings
+
+from .models import TurnstileVerifyRequest, TurnstileVerifyResponse
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+settings = Settings()
+
+
+@router.post(
+    "/verify", response_model=TurnstileVerifyResponse, summary="Verify Turnstile Token"
+)
+async def verify_turnstile_token(
+    request: TurnstileVerifyRequest,
+) -> TurnstileVerifyResponse:
+    """
+    Verify a Cloudflare Turnstile token.
+    This endpoint verifies a token returned by the Cloudflare Turnstile challenge
+    on the client side. It returns whether the verification was successful.
+    """
+    logger.info(f"Verifying Turnstile token for action: {request.action}")
+    return await verify_token(request)
+
+
+async def verify_token(request: TurnstileVerifyRequest) -> TurnstileVerifyResponse:
+    """
+    Verify a Cloudflare Turnstile token by making a request to the Cloudflare API.
+    """
+    # Get the secret key from settings
+    turnstile_secret_key = settings.secrets.turnstile_secret_key
+    turnstile_verify_url = settings.secrets.turnstile_verify_url
+
+    if not turnstile_secret_key:
+        logger.error(
+            "Turnstile secret key missing. Set TURNSTILE_SECRET_KEY to enable verification."
+        )
+        return TurnstileVerifyResponse(
+            success=False,
+            error="CONFIGURATION_ERROR",
+            challenge_timestamp=None,
+            hostname=None,
+            action=None,
+        )
+
+    try:
+        async with aiohttp.ClientSession() as session:
+            payload = {
+                "secret": turnstile_secret_key,
+                "response": request.token,
+            }
+
+            if request.action:
+                payload["action"] = request.action
+
+            logger.debug(f"Verifying Turnstile token with action: {request.action}")
+
+            async with session.post(
+                turnstile_verify_url,
+                data=payload,
+                timeout=aiohttp.ClientTimeout(total=10),
+            ) as response:
+                if response.status != 200:
+                    error_text = await response.text()
+                    logger.error(f"Turnstile API error: {error_text}")
+                    return TurnstileVerifyResponse(
+                        success=False,
+                        error=f"API_ERROR: {response.status}",
+                        challenge_timestamp=None,
+                        hostname=None,
+                        action=None,
+                    )
+
+                data = await response.json()
+                logger.debug(f"Turnstile API response: {data}")
+
+                # Parse the response and return a structured object
+                return TurnstileVerifyResponse(
+                    success=data.get("success", False),
+                    error=(
+                        data.get("error-codes", None)[0]
+                        if data.get("error-codes")
+                        else None
+                    ),
+                    challenge_timestamp=data.get("challenge_timestamp"),
+                    hostname=data.get("hostname"),
+                    action=data.get("action"),
+                )
+
+    except aiohttp.ClientError as e:
+        logger.error(f"Connection error to Turnstile API: {str(e)}")
+        return TurnstileVerifyResponse(
+            success=False,
+            error=f"CONNECTION_ERROR: {str(e)}",
+            challenge_timestamp=None,
+            hostname=None,
+            action=None,
+        )
+    except Exception as e:
+        logger.error(f"Unexpected error in Turnstile verification: {str(e)}")
+        return TurnstileVerifyResponse(
+            success=False,
+            error=f"UNEXPECTED_ERROR: {str(e)}",
+            challenge_timestamp=None,
+            hostname=None,
+            action=None,
+        )
diff --git a/autogpt_platform/backend/backend/server/v2/turnstile/routes_test.py b/autogpt_platform/backend/backend/server/v2/turnstile/routes_test.py
new file mode 100644
index 000000000000..5a9260131fb2
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/v2/turnstile/routes_test.py
@@ -0,0 +1,32 @@
+import fastapi
+import fastapi.testclient
+import pytest_mock
+
+import backend.server.v2.turnstile.routes as turnstile_routes
+
+app = fastapi.FastAPI()
+app.include_router(turnstile_routes.router)
+
+client = fastapi.testclient.TestClient(app)
+
+
+def test_verify_turnstile_token_no_secret_key(mocker: pytest_mock.MockFixture) -> None:
+    """Test token verification without secret key configured"""
+    # Mock the settings with no secret key
+    mock_settings = mocker.patch("backend.server.v2.turnstile.routes.settings")
+    mock_settings.secrets.turnstile_secret_key = None
+
+    request_data = {"token": "test_token", "action": "login"}
+    response = client.post("/verify", json=request_data)
+
+    assert response.status_code == 200
+    response_data = response.json()
+    assert response_data["success"] is False
+    assert response_data["error"] == "CONFIGURATION_ERROR"
+
+
+def test_verify_turnstile_token_invalid_request() -> None:
+    """Test token verification with invalid request data"""
+    # Missing token
+    response = client.post("/verify", json={"action": "login"})
+    assert response.status_code == 422
diff --git a/autogpt_platform/backend/backend/server/ws_api.py b/autogpt_platform/backend/backend/server/ws_api.py
index a6da64b8e53c..65b747c8b237 100644
--- a/autogpt_platform/backend/backend/server/ws_api.py
+++ b/autogpt_platform/backend/backend/server/ws_api.py
@@ -1,17 +1,24 @@
 import asyncio
 import logging
 from contextlib import asynccontextmanager
+from typing import Protocol
 
+import pydantic
 import uvicorn
 from autogpt_libs.auth import parse_jwt_token
 from fastapi import Depends, FastAPI, WebSocket, WebSocketDisconnect
 from starlette.middleware.cors import CORSMiddleware
 
-from backend.data import redis
 from backend.data.execution import AsyncRedisExecutionEventBus
 from backend.data.user import DEFAULT_USER_ID
 from backend.server.conn_manager import ConnectionManager
-from backend.server.model import ExecutionSubscription, Methods, WsMessage
+from backend.server.model import (
+    WSMessage,
+    WSMethod,
+    WSSubscribeGraphExecutionRequest,
+    WSSubscribeGraphExecutionsRequest,
+)
+from backend.util.retry import continuous_retry
 from backend.util.service import AppProcess
 from backend.util.settings import AppEnvironment, Config, Settings
 
@@ -39,17 +46,11 @@ def get_connection_manager():
     return _connection_manager
 
 
+@continuous_retry()
 async def event_broadcaster(manager: ConnectionManager):
-    try:
-        redis.connect()
-        event_queue = AsyncRedisExecutionEventBus()
-        async for event in event_queue.listen():
-            await manager.send_execution_result(event)
-    except Exception as e:
-        logger.exception(f"Event broadcaster error: {e}")
-        raise
-    finally:
-        redis.disconnect()
+    event_queue = AsyncRedisExecutionEventBus()
+    async for event in event_queue.listen("*"):
+        await manager.send_execution_update(event)
 
 
 async def authenticate_websocket(websocket: WebSocket) -> str:
@@ -73,57 +74,138 @@ async def authenticate_websocket(websocket: WebSocket) -> str:
         return ""
 
 
+# ===================== Message Handlers ===================== #
+
+
+class WSMessageHandler(Protocol):
+    async def __call__(
+        self,
+        connection_manager: ConnectionManager,
+        websocket: WebSocket,
+        user_id: str,
+        message: WSMessage,
+    ): ...
+
+
 async def handle_subscribe(
-    websocket: WebSocket, manager: ConnectionManager, message: WsMessage
+    connection_manager: ConnectionManager,
+    websocket: WebSocket,
+    user_id: str,
+    message: WSMessage,
 ):
     if not message.data:
         await websocket.send_text(
-            WsMessage(
-                method=Methods.ERROR,
+            WSMessage(
+                method=WSMethod.ERROR,
                 success=False,
                 error="Subscription data missing",
             ).model_dump_json()
         )
+        return
+
+    # Verify that user has read access to graph
+    # if not get_db_client().get_graph(
+    #     graph_id=sub_req.graph_id,
+    #     version=sub_req.graph_version,
+    #     user_id=user_id,
+    # ):
+    #     await websocket.send_text(
+    #         WsMessage(
+    #             method=Methods.ERROR,
+    #             success=False,
+    #             error="Access denied",
+    #         ).model_dump_json()
+    #     )
+    #     return
+
+    if message.method == WSMethod.SUBSCRIBE_GRAPH_EXEC:
+        sub_req = WSSubscribeGraphExecutionRequest.model_validate(message.data)
+        channel_key = await connection_manager.subscribe_graph_exec(
+            user_id=user_id,
+            graph_exec_id=sub_req.graph_exec_id,
+            websocket=websocket,
+        )
+
+    elif message.method == WSMethod.SUBSCRIBE_GRAPH_EXECS:
+        sub_req = WSSubscribeGraphExecutionsRequest.model_validate(message.data)
+        channel_key = await connection_manager.subscribe_graph_execs(
+            user_id=user_id,
+            graph_id=sub_req.graph_id,
+            websocket=websocket,
+        )
+
     else:
-        ex_sub = ExecutionSubscription.model_validate(message.data)
-        await manager.subscribe(ex_sub.graph_id, websocket)
-        logger.debug(f"New execution subscription for graph {ex_sub.graph_id}")
-        await websocket.send_text(
-            WsMessage(
-                method=Methods.SUBSCRIBE,
-                success=True,
-                channel=ex_sub.graph_id,
-            ).model_dump_json()
+        raise ValueError(
+            f"{handle_subscribe.__name__} can't handle '{message.method}' messages"
         )
 
+    logger.debug(f"New subscription on channel {channel_key} for user #{user_id}")
+    await websocket.send_text(
+        WSMessage(
+            method=message.method,
+            success=True,
+            channel=channel_key,
+        ).model_dump_json()
+    )
+
 
 async def handle_unsubscribe(
-    websocket: WebSocket, manager: ConnectionManager, message: WsMessage
+    connection_manager: ConnectionManager,
+    websocket: WebSocket,
+    user_id: str,
+    message: WSMessage,
 ):
     if not message.data:
         await websocket.send_text(
-            WsMessage(
-                method=Methods.ERROR,
+            WSMessage(
+                method=WSMethod.ERROR,
                 success=False,
                 error="Subscription data missing",
             ).model_dump_json()
         )
-    else:
-        ex_sub = ExecutionSubscription.model_validate(message.data)
-        await manager.unsubscribe(ex_sub.graph_id, websocket)
-        logger.debug(f"Removed execution subscription for graph {ex_sub.graph_id}")
-        await websocket.send_text(
-            WsMessage(
-                method=Methods.UNSUBSCRIBE,
-                success=True,
-                channel=ex_sub.graph_id,
-            ).model_dump_json()
-        )
+        return
 
+    unsub_req = WSSubscribeGraphExecutionRequest.model_validate(message.data)
+    channel_key = await connection_manager.unsubscribe_graph_exec(
+        user_id=user_id,
+        graph_exec_id=unsub_req.graph_exec_id,
+        websocket=websocket,
+    )
 
-@app.get("/")
-async def health():
-    return {"status": "healthy"}
+    logger.debug(f"Removed subscription on channel {channel_key} for user #{user_id}")
+    await websocket.send_text(
+        WSMessage(
+            method=WSMethod.UNSUBSCRIBE,
+            success=True,
+            channel=channel_key,
+        ).model_dump_json()
+    )
+
+
+async def handle_heartbeat(
+    connection_manager: ConnectionManager,
+    websocket: WebSocket,
+    user_id: str,
+    message: WSMessage,
+):
+    await websocket.send_json(
+        {
+            "method": WSMethod.HEARTBEAT.value,
+            "data": "pong",
+            "success": True,
+        }
+    )
+
+
+_MSG_HANDLERS: dict[WSMethod, WSMessageHandler] = {
+    WSMethod.HEARTBEAT: handle_heartbeat,
+    WSMethod.SUBSCRIBE_GRAPH_EXEC: handle_subscribe,
+    WSMethod.SUBSCRIBE_GRAPH_EXECS: handle_subscribe,
+    WSMethod.UNSUBSCRIBE: handle_unsubscribe,
+}
+
+
+# ===================== WebSocket Server ===================== #
 
 
 @app.websocket("/ws")
@@ -133,25 +215,59 @@ async def websocket_router(
     user_id = await authenticate_websocket(websocket)
     if not user_id:
         return
-    await manager.connect(websocket)
+    await manager.connect_socket(websocket)
     try:
         while True:
             data = await websocket.receive_text()
-            message = WsMessage.model_validate_json(data)
-
-            if message.method == Methods.HEARTBEAT:
-                await websocket.send_json(
-                    {"method": Methods.HEARTBEAT.value, "data": "pong", "success": True}
+            try:
+                message = WSMessage.model_validate_json(data)
+            except pydantic.ValidationError as e:
+                logger.error(
+                    "Invalid WebSocket message from user #%s: %s",
+                    user_id,
+                    e,
+                )
+                await websocket.send_text(
+                    WSMessage(
+                        method=WSMethod.ERROR,
+                        success=False,
+                        error=("Invalid message format. Review the schema and retry"),
+                    ).model_dump_json()
                 )
                 continue
 
-            if message.method == Methods.SUBSCRIBE:
-                await handle_subscribe(websocket, manager, message)
-
-            elif message.method == Methods.UNSUBSCRIBE:
-                await handle_unsubscribe(websocket, manager, message)
+            try:
+                if message.method in _MSG_HANDLERS:
+                    await _MSG_HANDLERS[message.method](
+                        connection_manager=manager,
+                        websocket=websocket,
+                        user_id=user_id,
+                        message=message,
+                    )
+                    continue
+            except pydantic.ValidationError as e:
+                logger.error(
+                    "Validation error while handling '%s' for user #%s: %s",
+                    message.method.value,
+                    user_id,
+                    e,
+                )
+                await websocket.send_text(
+                    WSMessage(
+                        method=WSMethod.ERROR,
+                        success=False,
+                        error="Invalid message data. Refer to the API schema",
+                    ).model_dump_json()
+                )
+                continue
+            except Exception as e:
+                logger.error(
+                    f"Error while handling '{message.method.value}' message "
+                    f"for user #{user_id}: {e}"
+                )
+                continue
 
-            elif message.method == Methods.ERROR:
+            if message.method == WSMethod.ERROR:
                 logger.error(f"WebSocket Error message received: {message.data}")
 
             else:
@@ -160,18 +276,23 @@ async def websocket_router(
                     f"{message.data}"
                 )
                 await websocket.send_text(
-                    WsMessage(
-                        method=Methods.ERROR,
+                    WSMessage(
+                        method=WSMethod.ERROR,
                         success=False,
                         error="Message type is not processed by the server",
                     ).model_dump_json()
                 )
 
     except WebSocketDisconnect:
-        manager.disconnect(websocket)
+        manager.disconnect_socket(websocket)
         logger.debug("WebSocket client disconnected")
 
 
+@app.get("/")
+async def health():
+    return {"status": "healthy"}
+
+
 class WebsocketServer(AppProcess):
     def run(self):
         logger.info(f"CORS allow origins: {settings.config.backend_cors_allow_origins}")
@@ -182,8 +303,14 @@ def run(self):
             allow_methods=["*"],
             allow_headers=["*"],
         )
+
         uvicorn.run(
             server_app,
             host=Config().websocket_server_host,
             port=Config().websocket_server_port,
+            log_config=None,
         )
+
+    def cleanup(self):
+        super().cleanup()
+        logger.info(f"[{self.service_name}] ⏳ Shutting down WebSocket Server...")
diff --git a/autogpt_platform/backend/backend/server/ws_api_test.py b/autogpt_platform/backend/backend/server/ws_api_test.py
new file mode 100644
index 000000000000..c9c27eb0867e
--- /dev/null
+++ b/autogpt_platform/backend/backend/server/ws_api_test.py
@@ -0,0 +1,241 @@
+import json
+from typing import cast
+from unittest.mock import AsyncMock
+
+import pytest
+from fastapi import WebSocket, WebSocketDisconnect
+from pytest_snapshot.plugin import Snapshot
+
+from backend.data.user import DEFAULT_USER_ID
+from backend.server.conn_manager import ConnectionManager
+from backend.server.ws_api import (
+    WSMessage,
+    WSMethod,
+    handle_subscribe,
+    handle_unsubscribe,
+    websocket_router,
+)
+
+
+@pytest.fixture
+def mock_websocket() -> AsyncMock:
+    mock = AsyncMock(spec=WebSocket)
+    mock.query_params = {}  # Add query_params attribute for authentication
+    return mock
+
+
+@pytest.fixture
+def mock_manager() -> AsyncMock:
+    return AsyncMock(spec=ConnectionManager)
+
+
+@pytest.mark.asyncio
+async def test_websocket_router_subscribe(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock, snapshot: Snapshot, mocker
+) -> None:
+    # Mock the authenticate_websocket function to ensure it returns a valid user_id
+    mocker.patch(
+        "backend.server.ws_api.authenticate_websocket", return_value=DEFAULT_USER_ID
+    )
+
+    mock_websocket.receive_text.side_effect = [
+        WSMessage(
+            method=WSMethod.SUBSCRIBE_GRAPH_EXEC,
+            data={"graph_exec_id": "test-graph-exec-1"},
+        ).model_dump_json(),
+        WebSocketDisconnect(),
+    ]
+    mock_manager.subscribe_graph_exec.return_value = (
+        f"{DEFAULT_USER_ID}|graph_exec#test-graph-exec-1"
+    )
+
+    await websocket_router(
+        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager)
+    )
+
+    mock_manager.connect_socket.assert_called_once_with(mock_websocket)
+    mock_manager.subscribe_graph_exec.assert_called_once_with(
+        user_id=DEFAULT_USER_ID,
+        graph_exec_id="test-graph-exec-1",
+        websocket=mock_websocket,
+    )
+    mock_websocket.send_text.assert_called_once()
+    assert (
+        '"method":"subscribe_graph_execution"'
+        in mock_websocket.send_text.call_args[0][0]
+    )
+    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
+
+    # Capture and snapshot the WebSocket response message
+    sent_message = mock_websocket.send_text.call_args[0][0]
+    parsed_message = json.loads(sent_message)
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(parsed_message, indent=2, sort_keys=True), "sub")
+
+    mock_manager.disconnect_socket.assert_called_once_with(mock_websocket)
+
+
+@pytest.mark.asyncio
+async def test_websocket_router_unsubscribe(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock, snapshot: Snapshot, mocker
+) -> None:
+    # Mock the authenticate_websocket function to ensure it returns a valid user_id
+    mocker.patch(
+        "backend.server.ws_api.authenticate_websocket", return_value=DEFAULT_USER_ID
+    )
+
+    mock_websocket.receive_text.side_effect = [
+        WSMessage(
+            method=WSMethod.UNSUBSCRIBE,
+            data={"graph_exec_id": "test-graph-exec-1"},
+        ).model_dump_json(),
+        WebSocketDisconnect(),
+    ]
+    mock_manager.unsubscribe_graph_exec.return_value = (
+        f"{DEFAULT_USER_ID}|graph_exec#test-graph-exec-1"
+    )
+
+    await websocket_router(
+        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager)
+    )
+
+    mock_manager.connect_socket.assert_called_once_with(mock_websocket)
+    mock_manager.unsubscribe_graph_exec.assert_called_once_with(
+        user_id=DEFAULT_USER_ID,
+        graph_exec_id="test-graph-exec-1",
+        websocket=mock_websocket,
+    )
+    mock_websocket.send_text.assert_called_once()
+    assert '"method":"unsubscribe"' in mock_websocket.send_text.call_args[0][0]
+    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
+
+    # Capture and snapshot the WebSocket response message
+    sent_message = mock_websocket.send_text.call_args[0][0]
+    parsed_message = json.loads(sent_message)
+    snapshot.snapshot_dir = "snapshots"
+    snapshot.assert_match(json.dumps(parsed_message, indent=2, sort_keys=True), "unsub")
+
+    mock_manager.disconnect_socket.assert_called_once_with(mock_websocket)
+
+
+@pytest.mark.asyncio
+async def test_websocket_router_invalid_method(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock, mocker
+) -> None:
+    # Mock the authenticate_websocket function to ensure it returns a valid user_id
+    mocker.patch(
+        "backend.server.ws_api.authenticate_websocket", return_value=DEFAULT_USER_ID
+    )
+
+    mock_websocket.receive_text.side_effect = [
+        WSMessage(method=WSMethod.GRAPH_EXECUTION_EVENT).model_dump_json(),
+        WebSocketDisconnect(),
+    ]
+
+    await websocket_router(
+        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager)
+    )
+
+    mock_manager.connect_socket.assert_called_once_with(mock_websocket)
+    mock_websocket.send_text.assert_called_once()
+    assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
+    assert '"success":false' in mock_websocket.send_text.call_args[0][0]
+    mock_manager.disconnect_socket.assert_called_once_with(mock_websocket)
+
+
+@pytest.mark.asyncio
+async def test_handle_subscribe_success(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock
+) -> None:
+    message = WSMessage(
+        method=WSMethod.SUBSCRIBE_GRAPH_EXEC,
+        data={"graph_exec_id": "test-graph-exec-id"},
+    )
+    mock_manager.subscribe_graph_exec.return_value = (
+        "user-1|graph_exec#test-graph-exec-id"
+    )
+
+    await handle_subscribe(
+        connection_manager=cast(ConnectionManager, mock_manager),
+        websocket=cast(WebSocket, mock_websocket),
+        user_id="user-1",
+        message=message,
+    )
+
+    mock_manager.subscribe_graph_exec.assert_called_once_with(
+        user_id="user-1",
+        graph_exec_id="test-graph-exec-id",
+        websocket=mock_websocket,
+    )
+    mock_websocket.send_text.assert_called_once()
+    assert (
+        '"method":"subscribe_graph_execution"'
+        in mock_websocket.send_text.call_args[0][0]
+    )
+    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
+
+
+@pytest.mark.asyncio
+async def test_handle_subscribe_missing_data(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock
+) -> None:
+    message = WSMessage(method=WSMethod.SUBSCRIBE_GRAPH_EXEC)
+
+    await handle_subscribe(
+        connection_manager=cast(ConnectionManager, mock_manager),
+        websocket=cast(WebSocket, mock_websocket),
+        user_id="user-1",
+        message=message,
+    )
+
+    mock_manager.subscribe_graph_exec.assert_not_called()
+    mock_websocket.send_text.assert_called_once()
+    assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
+    assert '"success":false' in mock_websocket.send_text.call_args[0][0]
+
+
+@pytest.mark.asyncio
+async def test_handle_unsubscribe_success(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock
+) -> None:
+    message = WSMessage(
+        method=WSMethod.UNSUBSCRIBE, data={"graph_exec_id": "test-graph-exec-id"}
+    )
+    mock_manager.unsubscribe_graph_exec.return_value = (
+        "user-1|graph_exec#test-graph-exec-id"
+    )
+
+    await handle_unsubscribe(
+        connection_manager=cast(ConnectionManager, mock_manager),
+        websocket=cast(WebSocket, mock_websocket),
+        user_id="user-1",
+        message=message,
+    )
+
+    mock_manager.unsubscribe_graph_exec.assert_called_once_with(
+        user_id="user-1",
+        graph_exec_id="test-graph-exec-id",
+        websocket=mock_websocket,
+    )
+    mock_websocket.send_text.assert_called_once()
+    assert '"method":"unsubscribe"' in mock_websocket.send_text.call_args[0][0]
+    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
+
+
+@pytest.mark.asyncio
+async def test_handle_unsubscribe_missing_data(
+    mock_websocket: AsyncMock, mock_manager: AsyncMock
+) -> None:
+    message = WSMessage(method=WSMethod.UNSUBSCRIBE)
+
+    await handle_unsubscribe(
+        connection_manager=cast(ConnectionManager, mock_manager),
+        websocket=cast(WebSocket, mock_websocket),
+        user_id="user-1",
+        message=message,
+    )
+
+    mock_manager._unsubscribe.assert_not_called()
+    mock_websocket.send_text.assert_called_once()
+    assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
+    assert '"success":false' in mock_websocket.send_text.call_args[0][0]
diff --git a/autogpt_platform/backend/backend/usecases/block_autogen.py b/autogpt_platform/backend/backend/usecases/block_autogen.py
index dc34b79f3278..7ccd766c5edf 100644
--- a/autogpt_platform/backend/backend/usecases/block_autogen.py
+++ b/autogpt_platform/backend/backend/usecases/block_autogen.py
@@ -1,13 +1,12 @@
 from pathlib import Path
 
-from prisma.models import User
-
 from backend.blocks.basic import StoreValueBlock
 from backend.blocks.block import BlockInstallationBlock
 from backend.blocks.http import SendWebRequestBlock
 from backend.blocks.llm import AITextGeneratorBlock
 from backend.blocks.text import ExtractTextInformationBlock, FillTextTemplateBlock
 from backend.data.graph import Graph, Link, Node, create_graph
+from backend.data.model import User
 from backend.data.user import get_or_create_user
 from backend.util.test import SpinTestServer, wait_execution
 
@@ -253,12 +252,13 @@ async def block_autogen_agent():
         test_graph = await create_graph(create_test_graph(), user_id=test_user.id)
         input_data = {"input": "Write me a block that writes a string into a file."}
         response = await server.agent_server.test_execute_graph(
-            test_graph.id, input_data, test_user.id
+            graph_id=test_graph.id,
+            user_id=test_user.id,
+            node_input=input_data,
         )
         print(response)
         result = await wait_execution(
-            graph_id=test_graph.id,
-            graph_exec_id=response["id"],
+            graph_exec_id=response.graph_exec_id,
             timeout=1200,
             user_id=test_user.id,
         )
diff --git a/autogpt_platform/backend/backend/usecases/reddit_marketing.py b/autogpt_platform/backend/backend/usecases/reddit_marketing.py
index 8ea2f651f30e..1ec381d618ad 100644
--- a/autogpt_platform/backend/backend/usecases/reddit_marketing.py
+++ b/autogpt_platform/backend/backend/usecases/reddit_marketing.py
@@ -1,9 +1,8 @@
-from prisma.models import User
-
 from backend.blocks.llm import AIStructuredResponseGeneratorBlock
 from backend.blocks.reddit import GetRedditPostsBlock, PostRedditCommentBlock
 from backend.blocks.text import FillTextTemplateBlock, MatchTextPatternBlock
 from backend.data.graph import Graph, Link, Node, create_graph
+from backend.data.model import User
 from backend.data.user import get_or_create_user
 from backend.util.test import SpinTestServer, wait_execution
 
@@ -157,10 +156,12 @@ async def reddit_marketing_agent():
         test_graph = await create_graph(create_test_graph(), user_id=test_user.id)
         input_data = {"subreddit": "AutoGPT"}
         response = await server.agent_server.test_execute_graph(
-            test_graph.id, input_data, test_user.id
+            graph_id=test_graph.id,
+            user_id=test_user.id,
+            node_input=input_data,
         )
         print(response)
-        result = await wait_execution(test_user.id, test_graph.id, response["id"], 120)
+        result = await wait_execution(test_user.id, response.graph_exec_id, 120)
         print(result)
 
 
diff --git a/autogpt_platform/backend/backend/usecases/sample.py b/autogpt_platform/backend/backend/usecases/sample.py
index eb6ab6211f01..234a39c9765f 100644
--- a/autogpt_platform/backend/backend/usecases/sample.py
+++ b/autogpt_platform/backend/backend/usecases/sample.py
@@ -1,19 +1,26 @@
-from prisma.models import User
-
-from backend.blocks.basic import AgentInputBlock, PrintToConsoleBlock
+from backend.blocks.basic import StoreValueBlock
+from backend.blocks.io import AgentInputBlock
 from backend.blocks.text import FillTextTemplateBlock
 from backend.data import graph
 from backend.data.graph import create_graph
+from backend.data.model import User
 from backend.data.user import get_or_create_user
 from backend.util.test import SpinTestServer, wait_execution
 
 
-async def create_test_user() -> User:
-    test_user_data = {
-        "sub": "ef3b97d7-1161-4eb4-92b2-10c24fb154c1",
-        "email": "testuser#example.com",
-        "name": "Test User",
-    }
+async def create_test_user(alt_user: bool = False) -> User:
+    if alt_user:
+        test_user_data = {
+            "sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1b",
+            "email": "testuser2@example.com",
+            "name": "Test User 2",
+        }
+    else:
+        test_user_data = {
+            "sub": "ef3b97d7-1161-4eb4-92b2-10c24fb154c1",
+            "email": "testuser@example.com",
+            "name": "Test User",
+        }
     user = await get_or_create_user(test_user_data)
     return user
 
@@ -22,7 +29,7 @@ def create_test_graph() -> graph.Graph:
     """
     InputBlock
                \
-                 ---- FillTextTemplateBlock ---- PrintToConsoleBlock
+                 ---- FillTextTemplateBlock ---- StoreValueBlock
                /
     InputBlock
     """
@@ -33,16 +40,19 @@ def create_test_graph() -> graph.Graph:
         ),
         graph.Node(
             block_id=AgentInputBlock().id,
-            input_default={"name": "input_2"},
+            input_default={
+                "name": "input_2",
+                "description": "This is my description of this parameter",
+            },
         ),
         graph.Node(
             block_id=FillTextTemplateBlock().id,
             input_default={
-                "format": "{a}, {b}{c}",
+                "format": "{{a}}, {{b}}{{c}}",
                 "values_#_c": "!!!",
             },
         ),
-        graph.Node(block_id=PrintToConsoleBlock().id),
+        graph.Node(block_id=StoreValueBlock().id),
     ]
     links = [
         graph.Link(
@@ -61,13 +71,13 @@ def create_test_graph() -> graph.Graph:
             source_id=nodes[2].id,
             sink_id=nodes[3].id,
             source_name="output",
-            sink_name="text",
+            sink_name="input",
         ),
     ]
 
     return graph.Graph(
         name="TestGraph",
-        description="Test graph",
+        description="Test graph description",
         nodes=nodes,
         links=links,
     )
@@ -79,11 +89,11 @@ async def sample_agent():
         test_graph = await create_graph(create_test_graph(), test_user.id)
         input_data = {"input_1": "Hello", "input_2": "World"}
         response = await server.agent_server.test_execute_graph(
-            test_graph.id, input_data, test_user.id
+            graph_id=test_graph.id,
+            user_id=test_user.id,
+            node_input=input_data,
         )
-        print(response)
-        result = await wait_execution(test_user.id, test_graph.id, response["id"], 10)
-        print(result)
+        await wait_execution(test_user.id, response.graph_exec_id, 10)
 
 
 if __name__ == "__main__":
diff --git a/autogpt_platform/backend/backend/util/clients.py b/autogpt_platform/backend/backend/util/clients.py
new file mode 100644
index 000000000000..cdc66a807d82
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/clients.py
@@ -0,0 +1,164 @@
+"""
+Centralized service client helpers with thread caching.
+"""
+
+from functools import cache
+from typing import TYPE_CHECKING
+
+from autogpt_libs.utils.cache import async_cache, thread_cached
+
+from backend.util.settings import Settings
+
+settings = Settings()
+
+if TYPE_CHECKING:
+    from supabase import AClient, Client
+
+    from backend.data.execution import (
+        AsyncRedisExecutionEventBus,
+        RedisExecutionEventBus,
+    )
+    from backend.data.rabbitmq import AsyncRabbitMQ, SyncRabbitMQ
+    from backend.executor import DatabaseManagerAsyncClient, DatabaseManagerClient
+    from backend.executor.scheduler import SchedulerClient
+    from backend.integrations.credentials_store import IntegrationCredentialsStore
+    from backend.notifications.notifications import NotificationManagerClient
+
+
+@thread_cached
+def get_database_manager_client() -> "DatabaseManagerClient":
+    """Get a thread-cached DatabaseManagerClient with request retry enabled."""
+    from backend.executor import DatabaseManagerClient
+    from backend.util.service import get_service_client
+
+    return get_service_client(DatabaseManagerClient, request_retry=True)
+
+
+@thread_cached
+def get_database_manager_async_client() -> "DatabaseManagerAsyncClient":
+    """Get a thread-cached DatabaseManagerAsyncClient with request retry enabled."""
+    from backend.executor import DatabaseManagerAsyncClient
+    from backend.util.service import get_service_client
+
+    return get_service_client(DatabaseManagerAsyncClient, request_retry=True)
+
+
+@thread_cached
+def get_scheduler_client() -> "SchedulerClient":
+    """Get a thread-cached SchedulerClient."""
+    from backend.executor.scheduler import SchedulerClient
+    from backend.util.service import get_service_client
+
+    return get_service_client(SchedulerClient)
+
+
+@thread_cached
+def get_notification_manager_client() -> "NotificationManagerClient":
+    """Get a thread-cached NotificationManagerClient."""
+    from backend.notifications.notifications import NotificationManagerClient
+    from backend.util.service import get_service_client
+
+    return get_service_client(NotificationManagerClient)
+
+
+# ============ Execution Event Bus Helpers ============ #
+
+
+@thread_cached
+def get_execution_event_bus() -> "RedisExecutionEventBus":
+    """Get a thread-cached RedisExecutionEventBus."""
+    from backend.data.execution import RedisExecutionEventBus
+
+    return RedisExecutionEventBus()
+
+
+@thread_cached
+def get_async_execution_event_bus() -> "AsyncRedisExecutionEventBus":
+    """Get a thread-cached AsyncRedisExecutionEventBus."""
+    from backend.data.execution import AsyncRedisExecutionEventBus
+
+    return AsyncRedisExecutionEventBus()
+
+
+# ============ Execution Queue Helpers ============ #
+
+
+@thread_cached
+def get_execution_queue() -> "SyncRabbitMQ":
+    """Get a thread-cached SyncRabbitMQ execution queue client."""
+    from backend.data.rabbitmq import SyncRabbitMQ
+    from backend.executor.utils import create_execution_queue_config
+
+    client = SyncRabbitMQ(create_execution_queue_config())
+    client.connect()
+    return client
+
+
+@thread_cached
+async def get_async_execution_queue() -> "AsyncRabbitMQ":
+    """Get a thread-cached AsyncRabbitMQ execution queue client."""
+    from backend.data.rabbitmq import AsyncRabbitMQ
+    from backend.executor.utils import create_execution_queue_config
+
+    client = AsyncRabbitMQ(create_execution_queue_config())
+    await client.connect()
+    return client
+
+
+# ============ Integration Credentials Store ============ #
+
+
+@thread_cached
+def get_integration_credentials_store() -> "IntegrationCredentialsStore":
+    """Get a thread-cached IntegrationCredentialsStore."""
+    from backend.integrations.credentials_store import IntegrationCredentialsStore
+
+    return IntegrationCredentialsStore()
+
+
+# ============ Supabase Clients ============ #
+
+
+@cache
+def get_supabase() -> "Client":
+    """Get a process-cached synchronous Supabase client instance."""
+    from supabase import create_client
+
+    return create_client(
+        settings.secrets.supabase_url, settings.secrets.supabase_service_role_key
+    )
+
+
+@async_cache
+async def get_async_supabase() -> "AClient":
+    """Get a process-cached asynchronous Supabase client instance."""
+    from supabase import create_async_client
+
+    return await create_async_client(
+        settings.secrets.supabase_url, settings.secrets.supabase_service_role_key
+    )
+
+
+# ============ Notification Queue Helpers ============ #
+
+
+@thread_cached
+def get_notification_queue() -> "SyncRabbitMQ":
+    """Get a thread-cached SyncRabbitMQ notification queue client."""
+    from backend.data.rabbitmq import SyncRabbitMQ
+    from backend.notifications.notifications import create_notification_config
+
+    client = SyncRabbitMQ(create_notification_config())
+    client.connect()
+    return client
+
+
+@thread_cached
+async def get_async_notification_queue() -> "AsyncRabbitMQ":
+    """Get a thread-cached AsyncRabbitMQ notification queue client."""
+    from backend.data.rabbitmq import AsyncRabbitMQ
+    from backend.notifications.notifications import create_notification_config
+
+    client = AsyncRabbitMQ(create_notification_config())
+    await client.connect()
+    return client
diff --git a/autogpt_platform/backend/backend/util/cloud_storage.py b/autogpt_platform/backend/backend/util/cloud_storage.py
new file mode 100644
index 000000000000..27acc605bb6e
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/cloud_storage.py
@@ -0,0 +1,554 @@
+"""
+Cloud storage utilities for handling various cloud storage providers.
+"""
+
+import asyncio
+import logging
+import os.path
+import uuid
+from datetime import datetime, timedelta, timezone
+from typing import Tuple
+
+from gcloud.aio import storage as async_gcs_storage
+from google.cloud import storage as gcs_storage
+
+from backend.util.settings import Config
+
+logger = logging.getLogger(__name__)
+
+
+class CloudStorageConfig:
+    """Configuration for cloud storage providers."""
+
+    def __init__(self):
+        config = Config()
+
+        # GCS configuration from settings - uses Application Default Credentials
+        self.gcs_bucket_name = config.media_gcs_bucket_name
+
+        # Future providers can be added here
+        # self.aws_bucket_name = config.aws_bucket_name
+        # self.azure_container_name = config.azure_container_name
+
+
+class CloudStorageHandler:
+    """Generic cloud storage handler that can work with multiple providers."""
+
+    def __init__(self, config: CloudStorageConfig):
+        self.config = config
+        self._async_gcs_client = None
+        self._sync_gcs_client = None  # Only for signed URLs
+
+    def _get_async_gcs_client(self):
+        """Lazy initialization of async GCS client."""
+        if self._async_gcs_client is None:
+            # Use Application Default Credentials (ADC)
+            self._async_gcs_client = async_gcs_storage.Storage()
+        return self._async_gcs_client
+
+    async def close(self):
+        """Close all client connections properly."""
+        if self._async_gcs_client is not None:
+            await self._async_gcs_client.close()
+            self._async_gcs_client = None
+
+    async def __aenter__(self):
+        """Async context manager entry."""
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        """Async context manager exit."""
+        await self.close()
+
+    def _get_sync_gcs_client(self):
+        """Lazy initialization of sync GCS client (only for signed URLs)."""
+        if self._sync_gcs_client is None:
+            # Use Application Default Credentials (ADC) - same as media.py
+            self._sync_gcs_client = gcs_storage.Client()
+        return self._sync_gcs_client
+
+    def parse_cloud_path(self, path: str) -> Tuple[str, str]:
+        """
+        Parse a cloud storage path and return provider and actual path.
+
+        Args:
+            path: Cloud storage path (e.g., "gcs://bucket/path/to/file")
+
+        Returns:
+            Tuple of (provider, actual_path)
+        """
+        if path.startswith("gcs://"):
+            return "gcs", path[6:]  # Remove "gcs://" prefix
+        # Future providers:
+        # elif path.startswith("s3://"):
+        #     return "s3", path[5:]
+        # elif path.startswith("azure://"):
+        #     return "azure", path[8:]
+        else:
+            raise ValueError(f"Unsupported cloud storage path: {path}")
+
+    def is_cloud_path(self, path: str) -> bool:
+        """Check if a path is a cloud storage path."""
+        return path.startswith(("gcs://", "s3://", "azure://"))
+
+    async def store_file(
+        self,
+        content: bytes,
+        filename: str,
+        provider: str = "gcs",
+        expiration_hours: int = 48,
+        user_id: str | None = None,
+        graph_exec_id: str | None = None,
+    ) -> str:
+        """
+        Store file content in cloud storage.
+
+        Args:
+            content: File content as bytes
+            filename: Desired filename
+            provider: Cloud storage provider ("gcs", "s3", "azure")
+            expiration_hours: Hours until expiration (1-48, default: 48)
+            user_id: User ID for user-scoped files (optional)
+            graph_exec_id: Graph execution ID for execution-scoped files (optional)
+
+        Note:
+            Provide either user_id OR graph_exec_id, not both. If neither is provided,
+            files will be stored as system uploads.
+
+        Returns:
+            Cloud storage path (e.g., "gcs://bucket/path/to/file")
+        """
+        if provider == "gcs":
+            return await self._store_file_gcs(
+                content, filename, expiration_hours, user_id, graph_exec_id
+            )
+        else:
+            raise ValueError(f"Unsupported cloud storage provider: {provider}")
+
+    async def _store_file_gcs(
+        self,
+        content: bytes,
+        filename: str,
+        expiration_hours: int,
+        user_id: str | None = None,
+        graph_exec_id: str | None = None,
+    ) -> str:
+        """Store file in Google Cloud Storage."""
+        if not self.config.gcs_bucket_name:
+            raise ValueError("GCS_BUCKET_NAME not configured")
+
+        # Validate that only one scope is provided
+        if user_id and graph_exec_id:
+            raise ValueError("Provide either user_id OR graph_exec_id, not both")
+
+        async_client = self._get_async_gcs_client()
+
+        # Generate unique path with appropriate scope
+        unique_id = str(uuid.uuid4())
+        if user_id:
+            # User-scoped uploads
+            blob_name = f"uploads/users/{user_id}/{unique_id}/{filename}"
+        elif graph_exec_id:
+            # Execution-scoped uploads
+            blob_name = f"uploads/executions/{graph_exec_id}/{unique_id}/{filename}"
+        else:
+            # System uploads (for backwards compatibility)
+            blob_name = f"uploads/system/{unique_id}/{filename}"
+
+        # Upload content with metadata using pure async client
+        upload_time = datetime.now(timezone.utc)
+        expiration_time = upload_time + timedelta(hours=expiration_hours)
+
+        await async_client.upload(
+            self.config.gcs_bucket_name,
+            blob_name,
+            content,
+            metadata={
+                "uploaded_at": upload_time.isoformat(),
+                "expires_at": expiration_time.isoformat(),
+                "expiration_hours": str(expiration_hours),
+            },
+        )
+
+        return f"gcs://{self.config.gcs_bucket_name}/{blob_name}"
+
+    async def retrieve_file(
+        self,
+        cloud_path: str,
+        user_id: str | None = None,
+        graph_exec_id: str | None = None,
+    ) -> bytes:
+        """
+        Retrieve file content from cloud storage.
+
+        Args:
+            cloud_path: Cloud storage path (e.g., "gcs://bucket/path/to/file")
+            user_id: User ID for authorization of user-scoped files (optional)
+            graph_exec_id: Graph execution ID for authorization of execution-scoped files (optional)
+
+        Returns:
+            File content as bytes
+
+        Raises:
+            PermissionError: If user tries to access files they don't own
+        """
+        provider, path = self.parse_cloud_path(cloud_path)
+
+        if provider == "gcs":
+            return await self._retrieve_file_gcs(path, user_id, graph_exec_id)
+        else:
+            raise ValueError(f"Unsupported cloud storage provider: {provider}")
+
+    async def _retrieve_file_gcs(
+        self, path: str, user_id: str | None = None, graph_exec_id: str | None = None
+    ) -> bytes:
+        """Retrieve file from Google Cloud Storage with authorization."""
+        # Parse bucket and blob name from path
+        parts = path.split("/", 1)
+        if len(parts) != 2:
+            raise ValueError(f"Invalid GCS path: {path}")
+
+        bucket_name, blob_name = parts
+
+        # Authorization check
+        self._validate_file_access(blob_name, user_id, graph_exec_id)
+
+        async_client = self._get_async_gcs_client()
+
+        try:
+            # Download content using pure async client
+            content = await async_client.download(bucket_name, blob_name)
+            return content
+        except Exception as e:
+            # Convert gcloud-aio exceptions to standard ones
+            if "404" in str(e) or "Not Found" in str(e):
+                raise FileNotFoundError(f"File not found: gcs://{path}")
+            raise
+
+    def _validate_file_access(
+        self,
+        blob_name: str,
+        user_id: str | None = None,
+        graph_exec_id: str | None = None,
+    ) -> None:
+        """
+        Validate that a user can access a specific file path.
+
+        Args:
+            blob_name: The blob path in GCS
+            user_id: The requesting user ID (optional)
+            graph_exec_id: The requesting graph execution ID (optional)
+
+        Raises:
+            PermissionError: If access is denied
+        """
+
+        # Normalize the path to prevent path traversal attacks
+        normalized_path = os.path.normpath(blob_name)
+
+        # Ensure the normalized path doesn't contain any path traversal attempts
+        if ".." in normalized_path or normalized_path.startswith("/"):
+            raise PermissionError("Invalid file path: path traversal detected")
+
+        # Split into components and validate each part
+        path_parts = normalized_path.split("/")
+
+        # Validate path structure: must start with "uploads/"
+        if not path_parts or path_parts[0] != "uploads":
+            raise PermissionError("Invalid file path: must be under uploads/")
+
+        # System uploads (uploads/system/*) can be accessed by anyone for backwards compatibility
+        if len(path_parts) >= 2 and path_parts[1] == "system":
+            return
+
+        # User-specific uploads (uploads/users/{user_id}/*) require matching user_id
+        if len(path_parts) >= 2 and path_parts[1] == "users":
+            if not user_id or len(path_parts) < 3:
+                raise PermissionError(
+                    "User ID required to access user files"
+                    if not user_id
+                    else "Invalid user file path format"
+                )
+
+            file_owner_id = path_parts[2]
+            # Validate user_id format (basic validation) - no need to check ".." again since we already did
+            if not file_owner_id or "/" in file_owner_id:
+                raise PermissionError("Invalid user ID in path")
+
+            if file_owner_id != user_id:
+                raise PermissionError(
+                    f"Access denied: file belongs to user {file_owner_id}"
+                )
+            return
+
+        # Execution-specific uploads (uploads/executions/{graph_exec_id}/*) require matching graph_exec_id
+        if len(path_parts) >= 2 and path_parts[1] == "executions":
+            if not graph_exec_id or len(path_parts) < 3:
+                raise PermissionError(
+                    "Graph execution ID required to access execution files"
+                    if not graph_exec_id
+                    else "Invalid execution file path format"
+                )
+
+            file_exec_id = path_parts[2]
+            # Validate execution_id format (basic validation) - no need to check ".." again since we already did
+            if not file_exec_id or "/" in file_exec_id:
+                raise PermissionError("Invalid execution ID in path")
+
+            if file_exec_id != graph_exec_id:
+                raise PermissionError(
+                    f"Access denied: file belongs to execution {file_exec_id}"
+                )
+            return
+
+        # Legacy uploads directory (uploads/*) - allow for backwards compatibility with warning
+        # Note: We already validated it starts with "uploads/" above, so this is guaranteed to match
+        logger.warning(f"Accessing legacy upload path: {blob_name}")
+        return
+
+    async def generate_signed_url(
+        self,
+        cloud_path: str,
+        expiration_hours: int = 1,
+        user_id: str | None = None,
+        graph_exec_id: str | None = None,
+    ) -> str:
+        """
+        Generate a signed URL for temporary access to a cloud storage file.
+
+        Args:
+            cloud_path: Cloud storage path
+            expiration_hours: URL expiration in hours
+            user_id: User ID for authorization (required for user files)
+            graph_exec_id: Graph execution ID for authorization (required for execution files)
+
+        Returns:
+            Signed URL string
+
+        Raises:
+            PermissionError: If user tries to access files they don't own
+        """
+        provider, path = self.parse_cloud_path(cloud_path)
+
+        if provider == "gcs":
+            return await self._generate_signed_url_gcs(
+                path, expiration_hours, user_id, graph_exec_id
+            )
+        else:
+            raise ValueError(f"Unsupported cloud storage provider: {provider}")
+
+    async def _generate_signed_url_gcs(
+        self,
+        path: str,
+        expiration_hours: int,
+        user_id: str | None = None,
+        graph_exec_id: str | None = None,
+    ) -> str:
+        """Generate signed URL for GCS with authorization."""
+
+        # Parse bucket and blob name from path
+        parts = path.split("/", 1)
+        if len(parts) != 2:
+            raise ValueError(f"Invalid GCS path: {path}")
+
+        bucket_name, blob_name = parts
+
+        # Authorization check
+        self._validate_file_access(blob_name, user_id, graph_exec_id)
+
+        # Use sync client for signed URLs since gcloud-aio doesn't support them
+        sync_client = self._get_sync_gcs_client()
+        bucket = sync_client.bucket(bucket_name)
+        blob = bucket.blob(blob_name)
+
+        # Generate signed URL asynchronously using sync client
+        url = await asyncio.to_thread(
+            blob.generate_signed_url,
+            version="v4",
+            expiration=datetime.now(timezone.utc) + timedelta(hours=expiration_hours),
+            method="GET",
+        )
+
+        return url
+
+    async def delete_expired_files(self, provider: str = "gcs") -> int:
+        """
+        Delete files that have passed their expiration time.
+
+        Args:
+            provider: Cloud storage provider
+
+        Returns:
+            Number of files deleted
+        """
+        if provider == "gcs":
+            return await self._delete_expired_files_gcs()
+        else:
+            raise ValueError(f"Unsupported cloud storage provider: {provider}")
+
+    async def _delete_expired_files_gcs(self) -> int:
+        """Delete expired files from GCS based on metadata."""
+        if not self.config.gcs_bucket_name:
+            raise ValueError("GCS_BUCKET_NAME not configured")
+
+        async_client = self._get_async_gcs_client()
+        current_time = datetime.now(timezone.utc)
+
+        try:
+            # List all blobs in the uploads directory using pure async client
+            list_response = await async_client.list_objects(
+                self.config.gcs_bucket_name, params={"prefix": "uploads/"}
+            )
+
+            items = list_response.get("items", [])
+            deleted_count = 0
+
+            # Process deletions in parallel with limited concurrency
+            semaphore = asyncio.Semaphore(10)  # Limit to 10 concurrent deletions
+
+            async def delete_if_expired(blob_info):
+                async with semaphore:
+                    blob_name = blob_info.get("name", "")
+                    try:
+                        # Get blob metadata - need to fetch it separately
+                        if not blob_name:
+                            return 0
+
+                        # Get metadata for this specific blob using pure async client
+                        metadata_response = await async_client.download_metadata(
+                            self.config.gcs_bucket_name, blob_name
+                        )
+                        metadata = metadata_response.get("metadata", {})
+
+                        if metadata and "expires_at" in metadata:
+                            expires_at = datetime.fromisoformat(metadata["expires_at"])
+                            if current_time > expires_at:
+                                # Delete using pure async client
+                                await async_client.delete(
+                                    self.config.gcs_bucket_name, blob_name
+                                )
+                                return 1
+                    except Exception as e:
+                        # Log specific errors for debugging
+                        logger.warning(
+                            f"Failed to process file {blob_name} during cleanup: {e}"
+                        )
+                        # Skip files with invalid metadata or delete errors
+                        pass
+                    return 0
+
+            if items:
+                results = await asyncio.gather(
+                    *[delete_if_expired(blob) for blob in items]
+                )
+                deleted_count = sum(results)
+
+            return deleted_count
+
+        except Exception as e:
+            # Log the error for debugging but continue operation
+            logger.error(f"Cleanup operation failed: {e}")
+            # Return 0 - we'll try again next cleanup cycle
+            return 0
+
+    async def check_file_expired(self, cloud_path: str) -> bool:
+        """
+        Check if a file has expired based on its metadata.
+
+        Args:
+            cloud_path: Cloud storage path
+
+        Returns:
+            True if file has expired, False otherwise
+        """
+        provider, path = self.parse_cloud_path(cloud_path)
+
+        if provider == "gcs":
+            return await self._check_file_expired_gcs(path)
+        else:
+            raise ValueError(f"Unsupported cloud storage provider: {provider}")
+
+    async def _check_file_expired_gcs(self, path: str) -> bool:
+        """Check if a GCS file has expired."""
+        parts = path.split("/", 1)
+        if len(parts) != 2:
+            raise ValueError(f"Invalid GCS path: {path}")
+
+        bucket_name, blob_name = parts
+
+        async_client = self._get_async_gcs_client()
+
+        try:
+            # Get object metadata using pure async client
+            metadata_info = await async_client.download_metadata(bucket_name, blob_name)
+            metadata = metadata_info.get("metadata", {})
+
+            if metadata and "expires_at" in metadata:
+                expires_at = datetime.fromisoformat(metadata["expires_at"])
+                return datetime.now(timezone.utc) > expires_at
+
+        except Exception as e:
+            # If file doesn't exist or we can't read metadata
+            if "404" in str(e) or "Not Found" in str(e):
+                logger.debug(f"File not found during expiration check: {blob_name}")
+                return True  # File doesn't exist, consider it expired
+
+            # Log other types of errors for debugging
+            logger.warning(f"Failed to check expiration for {blob_name}: {e}")
+            # If we can't read metadata for other reasons, assume not expired
+            return False
+
+        return False
+
+
+# Global instance with thread safety
+_cloud_storage_handler = None
+_handler_lock = asyncio.Lock()
+_cleanup_lock = asyncio.Lock()
+
+
+async def get_cloud_storage_handler() -> CloudStorageHandler:
+    """Get the global cloud storage handler instance with proper locking."""
+    global _cloud_storage_handler
+
+    if _cloud_storage_handler is None:
+        async with _handler_lock:
+            # Double-check pattern to avoid race conditions
+            if _cloud_storage_handler is None:
+                config = CloudStorageConfig()
+                _cloud_storage_handler = CloudStorageHandler(config)
+
+    return _cloud_storage_handler
+
+
+async def shutdown_cloud_storage_handler():
+    """Properly shutdown the global cloud storage handler."""
+    global _cloud_storage_handler
+
+    if _cloud_storage_handler is not None:
+        async with _handler_lock:
+            if _cloud_storage_handler is not None:
+                await _cloud_storage_handler.close()
+                _cloud_storage_handler = None
+
+
+async def cleanup_expired_files_async() -> int:
+    """
+    Clean up expired files from cloud storage.
+
+    This function uses a lock to prevent concurrent cleanup operations.
+
+    Returns:
+        Number of files deleted
+    """
+    # Use cleanup lock to prevent concurrent cleanup operations
+    async with _cleanup_lock:
+        try:
+            logger.info("Starting cleanup of expired cloud storage files")
+            handler = await get_cloud_storage_handler()
+            deleted_count = await handler.delete_expired_files()
+            logger.info(f"Cleaned up {deleted_count} expired files from cloud storage")
+            return deleted_count
+        except Exception as e:
+            logger.error(f"Error during cloud storage cleanup: {e}")
+            return 0
diff --git a/autogpt_platform/backend/backend/util/cloud_storage_test.py b/autogpt_platform/backend/backend/util/cloud_storage_test.py
new file mode 100644
index 000000000000..4dd0d79d20be
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/cloud_storage_test.py
@@ -0,0 +1,472 @@
+"""
+Tests for cloud storage utilities.
+"""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from backend.util.cloud_storage import CloudStorageConfig, CloudStorageHandler
+
+
+class TestCloudStorageHandler:
+    """Test cases for CloudStorageHandler."""
+
+    @pytest.fixture
+    def config(self):
+        """Create a test configuration."""
+        config = CloudStorageConfig()
+        config.gcs_bucket_name = "test-bucket"
+        return config
+
+    @pytest.fixture
+    def handler(self, config):
+        """Create a test handler."""
+        return CloudStorageHandler(config)
+
+    def test_parse_cloud_path_gcs(self, handler):
+        """Test parsing GCS paths."""
+        provider, path = handler.parse_cloud_path("gcs://bucket/path/to/file.txt")
+        assert provider == "gcs"
+        assert path == "bucket/path/to/file.txt"
+
+    def test_parse_cloud_path_invalid(self, handler):
+        """Test parsing invalid cloud paths."""
+        with pytest.raises(ValueError, match="Unsupported cloud storage path"):
+            handler.parse_cloud_path("invalid://path")
+
+    def test_is_cloud_path(self, handler):
+        """Test cloud path detection."""
+        assert handler.is_cloud_path("gcs://bucket/file.txt")
+        assert handler.is_cloud_path("s3://bucket/file.txt")
+        assert handler.is_cloud_path("azure://container/file.txt")
+        assert not handler.is_cloud_path("http://example.com/file.txt")
+        assert not handler.is_cloud_path("/local/path/file.txt")
+        assert not handler.is_cloud_path("data:text/plain;base64,SGVsbG8=")
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_store_file_gcs(self, mock_get_async_client, handler):
+        """Test storing file in GCS."""
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Mock the upload method
+        mock_async_client.upload = AsyncMock()
+
+        content = b"test file content"
+        filename = "test.txt"
+
+        result = await handler.store_file(content, filename, "gcs", expiration_hours=24)
+
+        # Verify the result format
+        assert result.startswith("gcs://test-bucket/uploads/")
+        assert result.endswith("/test.txt")
+
+        # Verify upload was called with correct parameters
+        mock_async_client.upload.assert_called_once()
+        call_args = mock_async_client.upload.call_args
+        assert call_args[0][0] == "test-bucket"  # bucket name
+        assert call_args[0][1].startswith("uploads/system/")  # blob name
+        assert call_args[0][2] == content  # file content
+        assert "metadata" in call_args[1]  # metadata argument
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_retrieve_file_gcs(self, mock_get_async_client, handler):
+        """Test retrieving file from GCS."""
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Mock the download method
+        mock_async_client.download = AsyncMock(return_value=b"test content")
+
+        result = await handler.retrieve_file(
+            "gcs://test-bucket/uploads/system/uuid123/file.txt"
+        )
+
+        assert result == b"test content"
+        mock_async_client.download.assert_called_once_with(
+            "test-bucket", "uploads/system/uuid123/file.txt"
+        )
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_retrieve_file_not_found(self, mock_get_async_client, handler):
+        """Test retrieving non-existent file from GCS."""
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Mock the download method to raise a 404 exception
+        mock_async_client.download = AsyncMock(side_effect=Exception("404 Not Found"))
+
+        with pytest.raises(FileNotFoundError):
+            await handler.retrieve_file(
+                "gcs://test-bucket/uploads/system/uuid123/nonexistent.txt"
+            )
+
+    @patch.object(CloudStorageHandler, "_get_sync_gcs_client")
+    @pytest.mark.asyncio
+    async def test_generate_signed_url_gcs(self, mock_get_sync_client, handler):
+        """Test generating signed URL for GCS."""
+        # Mock sync GCS client for signed URLs
+        mock_sync_client = MagicMock()
+        mock_bucket = MagicMock()
+        mock_blob = MagicMock()
+
+        mock_get_sync_client.return_value = mock_sync_client
+        mock_sync_client.bucket.return_value = mock_bucket
+        mock_bucket.blob.return_value = mock_blob
+        mock_blob.generate_signed_url.return_value = "https://signed-url.example.com"
+
+        result = await handler.generate_signed_url(
+            "gcs://test-bucket/uploads/system/uuid123/file.txt", 1
+        )
+
+        assert result == "https://signed-url.example.com"
+        mock_blob.generate_signed_url.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_unsupported_provider(self, handler):
+        """Test unsupported provider error."""
+        with pytest.raises(ValueError, match="Unsupported cloud storage provider"):
+            await handler.store_file(b"content", "file.txt", "unsupported")
+
+        with pytest.raises(ValueError, match="Unsupported cloud storage path"):
+            await handler.retrieve_file("unsupported://bucket/file.txt")
+
+        with pytest.raises(ValueError, match="Unsupported cloud storage path"):
+            await handler.generate_signed_url("unsupported://bucket/file.txt")
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_delete_expired_files_gcs(self, mock_get_async_client, handler):
+        """Test deleting expired files from GCS."""
+        from datetime import datetime, timedelta, timezone
+
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Mock list_objects response with expired and valid files
+        expired_time = (datetime.now(timezone.utc) - timedelta(hours=1)).isoformat()
+        valid_time = (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat()
+
+        mock_list_response = {
+            "items": [
+                {"name": "uploads/expired-file.txt"},
+                {"name": "uploads/valid-file.txt"},
+            ]
+        }
+        mock_async_client.list_objects = AsyncMock(return_value=mock_list_response)
+
+        # Mock download_metadata responses
+        async def mock_download_metadata(bucket, blob_name):
+            if "expired-file" in blob_name:
+                return {"metadata": {"expires_at": expired_time}}
+            else:
+                return {"metadata": {"expires_at": valid_time}}
+
+        mock_async_client.download_metadata = AsyncMock(
+            side_effect=mock_download_metadata
+        )
+        mock_async_client.delete = AsyncMock()
+
+        result = await handler.delete_expired_files("gcs")
+
+        assert result == 1  # Only one file should be deleted
+        # Verify delete was called once (for expired file)
+        assert mock_async_client.delete.call_count == 1
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_check_file_expired_gcs(self, mock_get_async_client, handler):
+        """Test checking if a file has expired."""
+        from datetime import datetime, timedelta, timezone
+
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Test with expired file
+        expired_time = (datetime.now(timezone.utc) - timedelta(hours=1)).isoformat()
+        mock_async_client.download_metadata = AsyncMock(
+            return_value={"metadata": {"expires_at": expired_time}}
+        )
+
+        result = await handler.check_file_expired("gcs://test-bucket/expired-file.txt")
+        assert result is True
+
+        # Test with valid file
+        valid_time = (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat()
+        mock_async_client.download_metadata = AsyncMock(
+            return_value={"metadata": {"expires_at": valid_time}}
+        )
+
+        result = await handler.check_file_expired("gcs://test-bucket/valid-file.txt")
+        assert result is False
+
+    @patch("backend.util.cloud_storage.get_cloud_storage_handler")
+    @pytest.mark.asyncio
+    async def test_cleanup_expired_files_async(self, mock_get_handler):
+        """Test the async cleanup function."""
+        from backend.util.cloud_storage import cleanup_expired_files_async
+
+        # Mock the handler
+        mock_handler = mock_get_handler.return_value
+        mock_handler.delete_expired_files = AsyncMock(return_value=3)
+
+        result = await cleanup_expired_files_async()
+
+        assert result == 3
+        mock_get_handler.assert_called_once()
+        mock_handler.delete_expired_files.assert_called_once()
+
+    @patch("backend.util.cloud_storage.get_cloud_storage_handler")
+    @pytest.mark.asyncio
+    async def test_cleanup_expired_files_async_error(self, mock_get_handler):
+        """Test the async cleanup function with error."""
+        from backend.util.cloud_storage import cleanup_expired_files_async
+
+        # Mock the handler to raise an exception
+        mock_handler = mock_get_handler.return_value
+        mock_handler.delete_expired_files = AsyncMock(
+            side_effect=Exception("GCS error")
+        )
+
+        result = await cleanup_expired_files_async()
+
+        assert result == 0  # Should return 0 on error
+        mock_get_handler.assert_called_once()
+        mock_handler.delete_expired_files.assert_called_once()
+
+    def test_validate_file_access_system_files(self, handler):
+        """Test access validation for system files."""
+        # System files should be accessible by anyone
+        handler._validate_file_access("uploads/system/uuid123/file.txt", None)
+        handler._validate_file_access("uploads/system/uuid123/file.txt", "user123")
+
+    def test_validate_file_access_user_files_success(self, handler):
+        """Test successful access validation for user files."""
+        # User should be able to access their own files
+        handler._validate_file_access(
+            "uploads/users/user123/uuid456/file.txt", "user123"
+        )
+
+    def test_validate_file_access_user_files_no_user_id(self, handler):
+        """Test access validation failure when no user_id provided for user files."""
+        with pytest.raises(
+            PermissionError, match="User ID required to access user files"
+        ):
+            handler._validate_file_access(
+                "uploads/users/user123/uuid456/file.txt", None
+            )
+
+    def test_validate_file_access_user_files_wrong_user(self, handler):
+        """Test access validation failure when accessing another user's files."""
+        with pytest.raises(
+            PermissionError, match="Access denied: file belongs to user user123"
+        ):
+            handler._validate_file_access(
+                "uploads/users/user123/uuid456/file.txt", "user456"
+            )
+
+    def test_validate_file_access_legacy_files(self, handler):
+        """Test access validation for legacy files."""
+        # Legacy files should be accessible with a warning
+        handler._validate_file_access("uploads/uuid789/file.txt", None)
+        handler._validate_file_access("uploads/uuid789/file.txt", "user123")
+
+    def test_validate_file_access_invalid_path(self, handler):
+        """Test access validation failure for invalid paths."""
+        with pytest.raises(
+            PermissionError, match="Invalid file path: must be under uploads/"
+        ):
+            handler._validate_file_access("invalid/path/file.txt", "user123")
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_retrieve_file_with_authorization(self, mock_get_client, handler):
+        """Test file retrieval with authorization."""
+        # Mock async GCS client
+        mock_client = AsyncMock()
+        mock_get_client.return_value = mock_client
+        mock_client.download = AsyncMock(return_value=b"test content")
+
+        # Test successful retrieval of user's own file
+        result = await handler.retrieve_file(
+            "gcs://test-bucket/uploads/users/user123/uuid456/file.txt",
+            user_id="user123",
+        )
+        assert result == b"test content"
+        mock_client.download.assert_called_once_with(
+            "test-bucket", "uploads/users/user123/uuid456/file.txt"
+        )
+
+        # Test authorization failure
+        with pytest.raises(PermissionError):
+            await handler.retrieve_file(
+                "gcs://test-bucket/uploads/users/user123/uuid456/file.txt",
+                user_id="user456",
+            )
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_store_file_with_user_id(self, mock_get_client, handler):
+        """Test file storage with user ID."""
+        # Mock async GCS client
+        mock_client = AsyncMock()
+        mock_get_client.return_value = mock_client
+        mock_client.upload = AsyncMock()
+
+        content = b"test file content"
+        filename = "test.txt"
+
+        # Test with user_id
+        result = await handler.store_file(
+            content, filename, "gcs", expiration_hours=24, user_id="user123"
+        )
+
+        # Verify the result format includes user path
+        assert result.startswith("gcs://test-bucket/uploads/users/user123/")
+        assert result.endswith("/test.txt")
+        mock_client.upload.assert_called()
+
+        # Test without user_id (system upload)
+        result = await handler.store_file(
+            content, filename, "gcs", expiration_hours=24, user_id=None
+        )
+
+        # Verify the result format includes system path
+        assert result.startswith("gcs://test-bucket/uploads/system/")
+        assert result.endswith("/test.txt")
+        assert mock_client.upload.call_count == 2
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_store_file_with_graph_exec_id(self, mock_get_async_client, handler):
+        """Test file storage with graph execution ID."""
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Mock the upload method
+        mock_async_client.upload = AsyncMock()
+
+        content = b"test file content"
+        filename = "test.txt"
+
+        # Test with graph_exec_id
+        result = await handler.store_file(
+            content, filename, "gcs", expiration_hours=24, graph_exec_id="exec123"
+        )
+
+        # Verify the result format includes execution path
+        assert result.startswith("gcs://test-bucket/uploads/executions/exec123/")
+        assert result.endswith("/test.txt")
+
+    @pytest.mark.asyncio
+    async def test_store_file_with_both_user_and_exec_id(self, handler):
+        """Test file storage fails when both user_id and graph_exec_id are provided."""
+        content = b"test file content"
+        filename = "test.txt"
+
+        with pytest.raises(
+            ValueError, match="Provide either user_id OR graph_exec_id, not both"
+        ):
+            await handler.store_file(
+                content,
+                filename,
+                "gcs",
+                expiration_hours=24,
+                user_id="user123",
+                graph_exec_id="exec123",
+            )
+
+    def test_validate_file_access_execution_files_success(self, handler):
+        """Test successful access validation for execution files."""
+        # Graph execution should be able to access their own files
+        handler._validate_file_access(
+            "uploads/executions/exec123/uuid456/file.txt", graph_exec_id="exec123"
+        )
+
+    def test_validate_file_access_execution_files_no_exec_id(self, handler):
+        """Test access validation failure when no graph_exec_id provided for execution files."""
+        with pytest.raises(
+            PermissionError,
+            match="Graph execution ID required to access execution files",
+        ):
+            handler._validate_file_access(
+                "uploads/executions/exec123/uuid456/file.txt", user_id="user123"
+            )
+
+    def test_validate_file_access_execution_files_wrong_exec_id(self, handler):
+        """Test access validation failure when accessing another execution's files."""
+        with pytest.raises(
+            PermissionError, match="Access denied: file belongs to execution exec123"
+        ):
+            handler._validate_file_access(
+                "uploads/executions/exec123/uuid456/file.txt", graph_exec_id="exec456"
+            )
+
+    @patch.object(CloudStorageHandler, "_get_async_gcs_client")
+    @pytest.mark.asyncio
+    async def test_retrieve_file_with_exec_authorization(
+        self, mock_get_async_client, handler
+    ):
+        """Test file retrieval with execution authorization."""
+        # Mock async GCS client
+        mock_async_client = AsyncMock()
+        mock_get_async_client.return_value = mock_async_client
+
+        # Mock the download method
+        mock_async_client.download = AsyncMock(return_value=b"test content")
+
+        # Test successful retrieval of execution's own file
+        result = await handler.retrieve_file(
+            "gcs://test-bucket/uploads/executions/exec123/uuid456/file.txt",
+            graph_exec_id="exec123",
+        )
+        assert result == b"test content"
+
+        # Test authorization failure
+        with pytest.raises(PermissionError):
+            await handler.retrieve_file(
+                "gcs://test-bucket/uploads/executions/exec123/uuid456/file.txt",
+                graph_exec_id="exec456",
+            )
+
+    @patch.object(CloudStorageHandler, "_get_sync_gcs_client")
+    @pytest.mark.asyncio
+    async def test_generate_signed_url_with_exec_authorization(
+        self, mock_get_sync_client, handler
+    ):
+        """Test signed URL generation with execution authorization."""
+        # Mock sync GCS client for signed URLs
+        mock_sync_client = MagicMock()
+        mock_bucket = MagicMock()
+        mock_blob = MagicMock()
+
+        mock_get_sync_client.return_value = mock_sync_client
+        mock_sync_client.bucket.return_value = mock_bucket
+        mock_bucket.blob.return_value = mock_blob
+        mock_blob.generate_signed_url.return_value = "https://signed-url.example.com"
+
+        # Test successful signed URL generation for execution's own file
+        result = await handler.generate_signed_url(
+            "gcs://test-bucket/uploads/executions/exec123/uuid456/file.txt",
+            1,
+            graph_exec_id="exec123",
+        )
+        assert result == "https://signed-url.example.com"
+
+        # Test authorization failure
+        with pytest.raises(PermissionError):
+            await handler.generate_signed_url(
+                "gcs://test-bucket/uploads/executions/exec123/uuid456/file.txt",
+                1,
+                graph_exec_id="exec456",
+            )
diff --git a/autogpt_platform/backend/backend/util/decorator.py b/autogpt_platform/backend/backend/util/decorator.py
index 9047ea0b77ec..3767435646d2 100644
--- a/autogpt_platform/backend/backend/util/decorator.py
+++ b/autogpt_platform/backend/backend/util/decorator.py
@@ -2,10 +2,22 @@
 import logging
 import os
 import time
-from typing import Callable, ParamSpec, Tuple, TypeVar
+from typing import (
+    Any,
+    Awaitable,
+    Callable,
+    Coroutine,
+    Literal,
+    ParamSpec,
+    Tuple,
+    TypeVar,
+    overload,
+)
 
 from pydantic import BaseModel
 
+from backend.util.logging import TruncatedLogger
+
 
 class TimingInfo(BaseModel):
     cpu_time: float
@@ -27,19 +39,25 @@ def _end_measurement(
 P = ParamSpec("P")
 T = TypeVar("T")
 
-logger = logging.getLogger(__name__)
+logger = TruncatedLogger(logging.getLogger(__name__))
 
 
-def time_measured(func: Callable[P, T]) -> Callable[P, Tuple[TimingInfo, T]]:
+def time_measured(
+    func: Callable[P, T],
+) -> Callable[P, Tuple[TimingInfo, T | BaseException]]:
     """
-    Decorator to measure the time taken by a function to execute.
+    Decorator to measure the time taken by a synchronous function to execute.
     """
 
     @functools.wraps(func)
-    def wrapper(*args: P.args, **kwargs: P.kwargs) -> Tuple[TimingInfo, T]:
+    def wrapper(
+        *args: P.args, **kwargs: P.kwargs
+    ) -> Tuple[TimingInfo, T | BaseException]:
         start_wall_time, start_cpu_time = _start_measurement()
         try:
             result = func(*args, **kwargs)
+        except BaseException as e:
+            result = e
         finally:
             wall_duration, cpu_duration = _end_measurement(
                 start_wall_time, start_cpu_time
@@ -50,18 +68,141 @@ def wrapper(*args: P.args, **kwargs: P.kwargs) -> Tuple[TimingInfo, T]:
     return wrapper
 
 
-def error_logged(func: Callable[P, T]) -> Callable[P, T | None]:
+def async_time_measured(
+    func: Callable[P, Awaitable[T]],
+) -> Callable[P, Awaitable[Tuple[TimingInfo, T | BaseException]]]:
     """
-    Decorator to suppress and log any exceptions raised by a function.
+    Decorator to measure the time taken by an async function to execute.
     """
 
     @functools.wraps(func)
-    def wrapper(*args: P.args, **kwargs: P.kwargs) -> T | None:
+    async def async_wrapper(
+        *args: P.args, **kwargs: P.kwargs
+    ) -> Tuple[TimingInfo, T | BaseException]:
+        start_wall_time, start_cpu_time = _start_measurement()
         try:
-            return func(*args, **kwargs)
-        except Exception as e:
-            logger.exception(
-                f"Error when calling function {func.__name__} with arguments {args} {kwargs}: {e}"
+            result = await func(*args, **kwargs)
+        except BaseException as e:
+            result = e
+        finally:
+            wall_duration, cpu_duration = _end_measurement(
+                start_wall_time, start_cpu_time
             )
+            timing_info = TimingInfo(cpu_time=cpu_duration, wall_time=wall_duration)
+        return timing_info, result
 
-    return wrapper
+    return async_wrapper
+
+
+@overload
+def error_logged(
+    *, swallow: Literal[True]
+) -> Callable[[Callable[P, T]], Callable[P, T | None]]: ...
+
+
+@overload
+def error_logged(
+    *, swallow: Literal[False]
+) -> Callable[[Callable[P, T]], Callable[P, T]]: ...
+
+
+@overload
+def error_logged() -> Callable[[Callable[P, T]], Callable[P, T | None]]: ...
+
+
+def error_logged(
+    *, swallow: bool = True
+) -> (
+    Callable[[Callable[P, T]], Callable[P, T | None]]
+    | Callable[[Callable[P, T]], Callable[P, T]]
+):
+    """
+    Decorator to log any exceptions raised by a function, with optional suppression.
+
+    Args:
+        swallow: Whether to suppress the exception (True) or re-raise it (False). Default is True.
+
+    Usage:
+        @error_logged()  # Default behavior (swallow errors)
+        @error_logged(swallow=False)  # Log and re-raise errors
+    """
+
+    def decorator(f: Callable[P, T]) -> Callable[P, T | None]:
+        @functools.wraps(f)
+        def wrapper(*args: P.args, **kwargs: P.kwargs) -> T | None:
+            try:
+                return f(*args, **kwargs)
+            except BaseException as e:
+                logger.exception(
+                    f"Error when calling function {f.__name__} with arguments {args} {kwargs}: {e}"
+                )
+                if not swallow:
+                    raise
+                return None
+
+        return wrapper
+
+    return decorator
+
+
+@overload
+def async_error_logged(
+    *, swallow: Literal[True]
+) -> Callable[
+    [Callable[P, Coroutine[Any, Any, T]]], Callable[P, Coroutine[Any, Any, T | None]]
+]: ...
+
+
+@overload
+def async_error_logged(
+    *, swallow: Literal[False]
+) -> Callable[
+    [Callable[P, Coroutine[Any, Any, T]]], Callable[P, Coroutine[Any, Any, T]]
+]: ...
+
+
+@overload
+def async_error_logged() -> Callable[
+    [Callable[P, Coroutine[Any, Any, T]]],
+    Callable[P, Coroutine[Any, Any, T | None]],
+]: ...
+
+
+def async_error_logged(*, swallow: bool = True) -> (
+    Callable[
+        [Callable[P, Coroutine[Any, Any, T]]],
+        Callable[P, Coroutine[Any, Any, T | None]],
+    ]
+    | Callable[
+        [Callable[P, Coroutine[Any, Any, T]]], Callable[P, Coroutine[Any, Any, T]]
+    ]
+):
+    """
+    Decorator to log any exceptions raised by an async function, with optional suppression.
+
+    Args:
+        swallow: Whether to suppress the exception (True) or re-raise it (False). Default is True.
+
+    Usage:
+        @async_error_logged()  # Default behavior (swallow errors)
+        @async_error_logged(swallow=False)  # Log and re-raise errors
+    """
+
+    def decorator(
+        f: Callable[P, Coroutine[Any, Any, T]],
+    ) -> Callable[P, Coroutine[Any, Any, T | None]]:
+        @functools.wraps(f)
+        async def wrapper(*args: P.args, **kwargs: P.kwargs) -> T | None:
+            try:
+                return await f(*args, **kwargs)
+            except BaseException as e:
+                logger.exception(
+                    f"Error when calling async function {f.__name__} with arguments {args} {kwargs}: {e}"
+                )
+                if not swallow:
+                    raise
+                return None
+
+        return wrapper
+
+    return decorator
diff --git a/autogpt_platform/backend/backend/util/decorator_test.py b/autogpt_platform/backend/backend/util/decorator_test.py
new file mode 100644
index 000000000000..07598c59bcaa
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/decorator_test.py
@@ -0,0 +1,98 @@
+import time
+
+import pytest
+
+from backend.util.decorator import async_error_logged, error_logged, time_measured
+from backend.util.retry import continuous_retry
+
+
+@time_measured
+def example_function(a: int, b: int, c: int) -> int:
+    time.sleep(0.5)
+    return a + b + c
+
+
+@error_logged(swallow=True)
+def example_function_with_error_swallowed(a: int, b: int, c: int) -> int:
+    raise ValueError("This error should be swallowed")
+
+
+@error_logged(swallow=False)
+def example_function_with_error_not_swallowed(a: int, b: int, c: int) -> int:
+    raise ValueError("This error should NOT be swallowed")
+
+
+@async_error_logged(swallow=True)
+async def async_function_with_error_swallowed() -> int:
+    raise ValueError("This async error should be swallowed")
+
+
+@async_error_logged(swallow=False)
+async def async_function_with_error_not_swallowed() -> int:
+    raise ValueError("This async error should NOT be swallowed")
+
+
+def test_timer_decorator():
+    """Test that the time_measured decorator correctly measures execution time."""
+    info, res = example_function(1, 2, 3)
+    assert info.cpu_time >= 0
+    assert info.wall_time >= 0.4
+    assert res == 6
+
+
+def test_error_decorator_swallow_true():
+    """Test that error_logged(swallow=True) logs and swallows errors."""
+    res = example_function_with_error_swallowed(1, 2, 3)
+    assert res is None
+
+
+def test_error_decorator_swallow_false():
+    """Test that error_logged(swallow=False) logs errors but re-raises them."""
+    with pytest.raises(ValueError, match="This error should NOT be swallowed"):
+        example_function_with_error_not_swallowed(1, 2, 3)
+
+
+def test_async_error_decorator_swallow_true():
+    """Test that async_error_logged(swallow=True) logs and swallows errors."""
+    import asyncio
+
+    async def run_test():
+        res = await async_function_with_error_swallowed()
+        return res
+
+    res = asyncio.run(run_test())
+    assert res is None
+
+
+def test_async_error_decorator_swallow_false():
+    """Test that async_error_logged(swallow=False) logs errors but re-raises them."""
+    import asyncio
+
+    async def run_test():
+        await async_function_with_error_not_swallowed()
+
+    with pytest.raises(ValueError, match="This async error should NOT be swallowed"):
+        asyncio.run(run_test())
+
+
+def test_continuous_retry_basic():
+    """Test that continuous_retry decorator retries on exception."""
+
+    class MockManager:
+        def __init__(self):
+            self.call_count = 0
+
+        @continuous_retry(retry_delay=0.01)
+        def failing_method(self):
+            self.call_count += 1
+            if self.call_count <= 2:
+                # Fail on first two calls
+                raise RuntimeError("Simulated failure")
+            return "success"
+
+    mock_manager = MockManager()
+
+    # Should retry and eventually succeed
+    result = mock_manager.failing_method()
+    assert result == "success"
+    assert mock_manager.call_count == 3  # Failed twice, succeeded on third
diff --git a/autogpt_platform/backend/backend/util/encryption.py b/autogpt_platform/backend/backend/util/encryption.py
index c8ba8b5edc50..c86abb6d74bb 100644
--- a/autogpt_platform/backend/backend/util/encryption.py
+++ b/autogpt_platform/backend/backend/util/encryption.py
@@ -30,5 +30,8 @@ def decrypt(self, encrypted_str: str) -> dict:
         """Decrypt string to dictionary"""
         if not encrypted_str:
             return {}
-        decrypted = self.fernet.decrypt(encrypted_str.encode())
-        return json.loads(decrypted.decode())
+        try:
+            decrypted = self.fernet.decrypt(encrypted_str.encode())
+            return json.loads(decrypted.decode())
+        except Exception:
+            return {}
diff --git a/autogpt_platform/backend/backend/util/exceptions.py b/autogpt_platform/backend/backend/util/exceptions.py
index 4bb3a08d9548..3a1efa0e5d85 100644
--- a/autogpt_platform/backend/backend/util/exceptions.py
+++ b/autogpt_platform/backend/backend/util/exceptions.py
@@ -2,5 +2,84 @@ class MissingConfigError(Exception):
     """The attempted operation requires configuration which is not available"""
 
 
+class NotFoundError(ValueError):
+    """The requested record was not found, resulting in an error condition"""
+
+
 class NeedConfirmation(Exception):
     """The user must explicitly confirm that they want to proceed"""
+
+
+class NotAuthorizedError(ValueError):
+    """The user is not authorized to perform the requested operation"""
+
+
+class InsufficientBalanceError(ValueError):
+    user_id: str
+    message: str
+    balance: float
+    amount: float
+
+    def __init__(self, message: str, user_id: str, balance: float, amount: float):
+        super().__init__(message)
+        self.args = (message, user_id, balance, amount)
+        self.message = message
+        self.user_id = user_id
+        self.balance = balance
+        self.amount = amount
+
+    def __str__(self):
+        """Used to display the error message in the frontend, because we str() the error when sending the execution update"""
+        return self.message
+
+
+class ModerationError(ValueError):
+    """Content moderation failure during execution"""
+
+    user_id: str
+    message: str
+    graph_exec_id: str
+    moderation_type: str
+    content_id: str | None
+
+    def __init__(
+        self,
+        message: str,
+        user_id: str,
+        graph_exec_id: str,
+        moderation_type: str = "content",
+        content_id: str | None = None,
+    ):
+        super().__init__(message)
+        self.args = (message, user_id, graph_exec_id, moderation_type, content_id)
+        self.message = message
+        self.user_id = user_id
+        self.graph_exec_id = graph_exec_id
+        self.moderation_type = moderation_type
+        self.content_id = content_id
+
+    def __str__(self):
+        """Used to display the error message in the frontend, because we str() the error when sending the execution update"""
+        if self.content_id:
+            return f"{self.message} (Moderation ID: {self.content_id})"
+        return self.message
+
+
+class GraphValidationError(ValueError):
+    """Structured validation error for graph validation failures"""
+
+    def __init__(
+        self, message: str, node_errors: dict[str, dict[str, str]] | None = None
+    ):
+        super().__init__(message)
+        self.message = message
+        self.node_errors = node_errors or {}
+
+    def __str__(self):
+        return self.message + "".join(
+            [
+                f"\n  {node_id}:"
+                + "".join([f"\n    {k}: {e}" for k, e in errors.items()])
+                for node_id, errors in self.node_errors.items()
+            ]
+        )
diff --git a/autogpt_platform/backend/backend/util/feature_flag.py b/autogpt_platform/backend/backend/util/feature_flag.py
new file mode 100644
index 000000000000..9af04534793b
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/feature_flag.py
@@ -0,0 +1,257 @@
+import contextlib
+import logging
+from enum import Enum
+from functools import wraps
+from typing import Any, Awaitable, Callable, TypeVar
+
+import ldclient
+from autogpt_libs.utils.cache import async_ttl_cache
+from fastapi import HTTPException
+from ldclient import Context, LDClient
+from ldclient.config import Config
+from typing_extensions import ParamSpec
+
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+
+# Load settings at module level
+settings = Settings()
+
+P = ParamSpec("P")
+T = TypeVar("T")
+
+_is_initialized = False
+
+
+class Flag(str, Enum):
+    """
+    Centralized enum for all LaunchDarkly feature flags.
+
+    Add new flags here to ensure consistency across the codebase.
+    """
+
+    AUTOMOD = "AutoMod"
+    AI_ACTIVITY_STATUS = "ai-agent-execution-summary"
+    BETA_BLOCKS = "beta-blocks"
+    AGENT_ACTIVITY = "agent-activity"
+
+
+def get_client() -> LDClient:
+    """Get the LaunchDarkly client singleton."""
+    if not _is_initialized:
+        initialize_launchdarkly()
+    return ldclient.get()
+
+
+def initialize_launchdarkly() -> None:
+    sdk_key = settings.secrets.launch_darkly_sdk_key
+    logger.debug(
+        f"Initializing LaunchDarkly with SDK key: {'present' if sdk_key else 'missing'}"
+    )
+
+    if not sdk_key:
+        logger.warning("LaunchDarkly SDK key not configured")
+        return
+
+    config = Config(sdk_key)
+    ldclient.set_config(config)
+
+    if ldclient.get().is_initialized():
+        global _is_initialized
+        _is_initialized = True
+        logger.info("LaunchDarkly client initialized successfully")
+    else:
+        logger.error("LaunchDarkly client failed to initialize")
+
+
+def shutdown_launchdarkly() -> None:
+    """Shutdown the LaunchDarkly client."""
+    if ldclient.get().is_initialized():
+        ldclient.get().close()
+        logger.info("LaunchDarkly client closed successfully")
+
+
+@async_ttl_cache(maxsize=1000, ttl_seconds=86400)  # 1000 entries, 24 hours TTL
+async def _fetch_user_context_data(user_id: str) -> Context:
+    """
+    Fetch user context for LaunchDarkly from Supabase.
+
+    Args:
+        user_id: The user ID to fetch data for
+
+    Returns:
+        LaunchDarkly Context object
+    """
+    builder = Context.builder(user_id).kind("user").anonymous(True)
+
+    try:
+        from backend.util.clients import get_supabase
+
+        # If we have user data, update context
+        response = get_supabase().auth.admin.get_user_by_id(user_id)
+        if response and response.user:
+            user = response.user
+            builder.anonymous(False)
+            if user.role:
+                builder.set("role", user.role)
+                # It's weird, I know, but it is what it is.
+                builder.set("custom", {"role": user.role})
+            if user.email:
+                builder.set("email", user.email)
+                builder.set("email_domain", user.email.split("@")[-1])
+
+    except Exception as e:
+        logger.warning(f"Failed to fetch user context for {user_id}: {e}")
+
+    return builder.build()
+
+
+async def get_feature_flag_value(
+    flag_key: str,
+    user_id: str,
+    default: Any = None,
+) -> Any:
+    """
+    Get the raw value of a feature flag for a user.
+
+    This is the generic function that returns the actual flag value,
+    which could be a boolean, string, number, or JSON object.
+
+    Args:
+        flag_key: The LaunchDarkly feature flag key
+        user_id: The user ID to evaluate the flag for
+        default: Default value if LaunchDarkly is unavailable or flag evaluation fails
+
+    Returns:
+        The flag value from LaunchDarkly
+    """
+    try:
+        client = get_client()
+
+        # Check if client is initialized
+        if not client.is_initialized():
+            logger.debug(
+                f"LaunchDarkly not initialized, using default={default} for {flag_key}"
+            )
+            return default
+
+        # Get user context from Supabase
+        context = await _fetch_user_context_data(user_id)
+
+        # Evaluate flag
+        result = client.variation(flag_key, context, default)
+
+        logger.debug(
+            f"Feature flag {flag_key} for user {user_id}: {result} (type: {type(result).__name__})"
+        )
+        return result
+
+    except Exception as e:
+        logger.warning(
+            f"LaunchDarkly flag evaluation failed for {flag_key}: {e}, using default={default}"
+        )
+        return default
+
+
+async def is_feature_enabled(
+    flag_key: Flag,
+    user_id: str,
+    default: bool = False,
+) -> bool:
+    """
+    Check if a feature flag is enabled for a user.
+
+    Args:
+        flag_key: The Flag enum value
+        user_id: The user ID to evaluate the flag for
+        default: Default value if LaunchDarkly is unavailable or flag evaluation fails
+
+    Returns:
+        True if feature is enabled, False otherwise
+    """
+    result = await get_feature_flag_value(flag_key.value, user_id, default)
+
+    # If the result is already a boolean, return it
+    if isinstance(result, bool):
+        return result
+
+    # Log a warning if the flag is not returning a boolean
+    logger.warning(
+        f"Feature flag {flag_key} returned non-boolean value: {result} (type: {type(result).__name__}). "
+        f"This flag should be configured as a boolean in LaunchDarkly. Using default={default}"
+    )
+
+    # Return the default if we get a non-boolean value
+    # This prevents objects from being incorrectly treated as True
+    return default
+
+
+def feature_flag(
+    flag_key: str,
+    default: bool = False,
+) -> Callable[[Callable[P, Awaitable[T]]], Callable[P, Awaitable[T]]]:
+    """
+    Decorator for async feature flag protected endpoints.
+
+    Args:
+        flag_key: The LaunchDarkly feature flag key
+        default: Default value if flag evaluation fails
+
+    Returns:
+        Decorator that only works with async functions
+    """
+
+    def decorator(func: Callable[P, Awaitable[T]]) -> Callable[P, Awaitable[T]]:
+        @wraps(func)
+        async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
+            try:
+                user_id = kwargs.get("user_id")
+                if not user_id:
+                    raise ValueError("user_id is required")
+
+                if not get_client().is_initialized():
+                    logger.warning(
+                        f"LaunchDarkly not initialized, using default={default}"
+                    )
+                    is_enabled = default
+                else:
+                    # Use the internal function directly since we have a raw string flag_key
+                    flag_value = await get_feature_flag_value(
+                        flag_key, str(user_id), default
+                    )
+                    # Ensure we treat flag value as boolean
+                    if isinstance(flag_value, bool):
+                        is_enabled = flag_value
+                    else:
+                        # Log warning and use default for non-boolean values
+                        logger.warning(
+                            f"Feature flag {flag_key} returned non-boolean value: {flag_value} (type: {type(flag_value).__name__}). "
+                            f"Using default={default}"
+                        )
+                        is_enabled = default
+
+                if not is_enabled:
+                    raise HTTPException(status_code=404, detail="Feature not available")
+
+                return await func(*args, **kwargs)
+            except Exception as e:
+                logger.error(f"Error evaluating feature flag {flag_key}: {e}")
+                raise
+
+        return async_wrapper
+
+    return decorator
+
+
+@contextlib.contextmanager
+def mock_flag_variation(flag_key: str, return_value: Any):
+    """Context manager for testing feature flags."""
+    original_variation = get_client().variation
+    get_client().variation = lambda key, context, default: (
+        return_value if key == flag_key else original_variation(key, context, default)
+    )
+    try:
+        yield
+    finally:
+        get_client().variation = original_variation
diff --git a/autogpt_platform/backend/backend/util/feature_flag_test.py b/autogpt_platform/backend/backend/util/feature_flag_test.py
new file mode 100644
index 000000000000..9bd99809ff29
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/feature_flag_test.py
@@ -0,0 +1,113 @@
+import pytest
+from fastapi import HTTPException
+from ldclient import LDClient
+
+from backend.util.feature_flag import (
+    Flag,
+    feature_flag,
+    is_feature_enabled,
+    mock_flag_variation,
+)
+
+
+@pytest.fixture
+def ld_client(mocker):
+    client = mocker.Mock(spec=LDClient)
+    mocker.patch("ldclient.get", return_value=client)
+    client.is_initialized.return_value = True
+    return client
+
+
+@pytest.mark.asyncio
+async def test_feature_flag_enabled(ld_client):
+    ld_client.variation.return_value = True
+
+    @feature_flag("test-flag")
+    async def test_function(user_id: str):
+        return "success"
+
+    result = await test_function(user_id="test-user")
+    assert result == "success"
+    ld_client.variation.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_feature_flag_unauthorized_response(ld_client):
+    ld_client.variation.return_value = False
+
+    @feature_flag("test-flag")
+    async def test_function(user_id: str):
+        return "success"
+
+    with pytest.raises(HTTPException) as exc_info:
+        await test_function(user_id="test-user")
+    assert exc_info.value.status_code == 404
+
+
+def test_mock_flag_variation(ld_client):
+    with mock_flag_variation("test-flag", True):
+        assert ld_client.variation("test-flag", None, False) is True
+
+    with mock_flag_variation("test-flag", False):
+        assert ld_client.variation("test-flag", None, True) is False
+
+
+@pytest.mark.asyncio
+async def test_is_feature_enabled(ld_client):
+    """Test the is_feature_enabled helper function."""
+    ld_client.is_initialized.return_value = True
+    ld_client.variation.return_value = True
+
+    result = await is_feature_enabled(Flag.AUTOMOD, "user123", default=False)
+    assert result is True
+
+    ld_client.variation.assert_called_once()
+    call_args = ld_client.variation.call_args
+    assert call_args[0][0] == "AutoMod"  # flag_key
+    assert call_args[0][2] is False  # default value
+
+
+@pytest.mark.asyncio
+async def test_is_feature_enabled_not_initialized(ld_client):
+    """Test is_feature_enabled when LaunchDarkly is not initialized."""
+    ld_client.is_initialized.return_value = False
+
+    result = await is_feature_enabled(Flag.AGENT_ACTIVITY, "user123", default=True)
+    assert result is True  # Should return default
+
+    ld_client.variation.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_is_feature_enabled_exception(mocker):
+    """Test is_feature_enabled when get_client() raises an exception."""
+    mocker.patch(
+        "backend.util.feature_flag.get_client",
+        side_effect=Exception("Client error"),
+    )
+
+    result = await is_feature_enabled(Flag.AGENT_ACTIVITY, "user123", default=True)
+    assert result is True  # Should return default
+
+
+def test_flag_enum_values():
+    """Test that Flag enum has expected values."""
+    assert Flag.AUTOMOD == "AutoMod"
+    assert Flag.AI_ACTIVITY_STATUS == "ai-agent-execution-summary"
+    assert Flag.BETA_BLOCKS == "beta-blocks"
+    assert Flag.AGENT_ACTIVITY == "agent-activity"
+
+
+@pytest.mark.asyncio
+async def test_is_feature_enabled_with_flag_enum(mocker):
+    """Test is_feature_enabled function with Flag enum."""
+    mock_get_feature_flag_value = mocker.patch(
+        "backend.util.feature_flag.get_feature_flag_value"
+    )
+    mock_get_feature_flag_value.return_value = True
+
+    result = await is_feature_enabled(Flag.AUTOMOD, "user123")
+
+    assert result is True
+    # Should call with the flag's string value
+    mock_get_feature_flag_value.assert_called_once()
diff --git a/autogpt_platform/backend/backend/util/file.py b/autogpt_platform/backend/backend/util/file.py
new file mode 100644
index 000000000000..1fc52f9e6ee4
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/file.py
@@ -0,0 +1,177 @@
+import base64
+import mimetypes
+import re
+import shutil
+import tempfile
+import uuid
+from pathlib import Path
+from urllib.parse import urlparse
+
+from backend.util.cloud_storage import get_cloud_storage_handler
+from backend.util.request import Requests
+from backend.util.type import MediaFileType
+from backend.util.virus_scanner import scan_content_safe
+
+TEMP_DIR = Path(tempfile.gettempdir()).resolve()
+
+
+def get_exec_file_path(graph_exec_id: str, path: str) -> str:
+    """
+    Utility to build an absolute path in the {temp}/exec_file/{exec_id}/... folder.
+    """
+    return str(TEMP_DIR / "exec_file" / graph_exec_id / path)
+
+
+def clean_exec_files(graph_exec_id: str, file: str = "") -> None:
+    """
+    Utility to remove the {temp}/exec_file/{exec_id} folder and its contents.
+    """
+    exec_path = Path(get_exec_file_path(graph_exec_id, file))
+    if exec_path.exists() and exec_path.is_dir():
+        shutil.rmtree(exec_path)
+
+
+async def store_media_file(
+    graph_exec_id: str,
+    file: MediaFileType,
+    user_id: str,
+    return_content: bool = False,
+) -> MediaFileType:
+    """
+    Safely handle 'file' (a data URI, a URL, or a local path relative to {temp}/exec_file/{exec_id}),
+    placing or verifying it under:
+        {tempdir}/exec_file/{exec_id}/...
+
+    If 'return_content=True', return a data URI (data:<mime>;base64,<content>).
+    Otherwise, returns the file media path relative to the exec_id folder.
+
+    For each MediaFileType type:
+    - Data URI:
+      -> decode and store in a new random file in that folder
+    - URL:
+      -> download and store in that folder
+    - Local path:
+      -> interpret as relative to that folder; verify it exists
+         (no copying, as it's presumably already there).
+         We realpath-check so no symlink or '..' can escape the folder.
+
+
+    :param graph_exec_id:  The unique ID of the graph execution.
+    :param file:           Data URI, URL, or local (relative) path.
+    :param return_content: If True, return a data URI of the file content.
+                           If False, return the *relative* path inside the exec_id folder.
+    :return:               The requested result: data URI or relative path of the media.
+    """
+    # Build base path
+    base_path = Path(get_exec_file_path(graph_exec_id, ""))
+    base_path.mkdir(parents=True, exist_ok=True)
+
+    # Helper functions
+    def _extension_from_mime(mime: str) -> str:
+        ext = mimetypes.guess_extension(mime, strict=False)
+        return ext if ext else ".bin"
+
+    def _file_to_data_uri(path: Path) -> str:
+        mime_type = get_mime_type(str(path))
+        b64 = base64.b64encode(path.read_bytes()).decode("utf-8")
+        return f"data:{mime_type};base64,{b64}"
+
+    def _ensure_inside_base(path_candidate: Path, base: Path) -> Path:
+        """
+        Resolve symlinks via resolve() and ensure the result is still under base.
+        """
+        real_candidate = path_candidate.resolve()
+        real_base = base.resolve()
+
+        if not real_candidate.is_relative_to(real_base):
+            raise ValueError(
+                "Local file path is outside the temp_base directory. Access denied."
+            )
+        return real_candidate
+
+    def _strip_base_prefix(absolute_path: Path, base: Path) -> str:
+        """
+        Strip base prefix and normalize path.
+        """
+        return str(absolute_path.relative_to(base))
+
+    # Check if this is a cloud storage path
+    cloud_storage = await get_cloud_storage_handler()
+    if cloud_storage.is_cloud_path(file):
+        # Download from cloud storage and store locally
+        cloud_content = await cloud_storage.retrieve_file(
+            file, user_id=user_id, graph_exec_id=graph_exec_id
+        )
+
+        # Generate filename from cloud path
+        _, path_part = cloud_storage.parse_cloud_path(file)
+        filename = Path(path_part).name or f"{uuid.uuid4()}.bin"
+        target_path = _ensure_inside_base(base_path / filename, base_path)
+
+        # Virus scan the cloud content before writing locally
+        await scan_content_safe(cloud_content, filename=filename)
+        target_path.write_bytes(cloud_content)
+
+    # Process file
+    elif file.startswith("data:"):
+        # Data URI
+        match = re.match(r"^data:([^;]+);base64,(.*)$", file, re.DOTALL)
+        if not match:
+            raise ValueError(
+                "Invalid data URI format. Expected data:<mime>;base64,<data>"
+            )
+        mime_type = match.group(1).strip().lower()
+        b64_content = match.group(2).strip()
+
+        # Generate filename and decode
+        extension = _extension_from_mime(mime_type)
+        filename = f"{uuid.uuid4()}{extension}"
+        target_path = _ensure_inside_base(base_path / filename, base_path)
+        content = base64.b64decode(b64_content)
+
+        # Virus scan the base64 content before writing
+        await scan_content_safe(content, filename=filename)
+        target_path.write_bytes(content)
+
+    elif file.startswith(("http://", "https://")):
+        # URL
+        parsed_url = urlparse(file)
+        filename = Path(parsed_url.path).name or f"{uuid.uuid4()}"
+        target_path = _ensure_inside_base(base_path / filename, base_path)
+
+        # Download and save
+        resp = await Requests().get(file)
+
+        # Virus scan the downloaded content before writing
+        await scan_content_safe(resp.content, filename=filename)
+        target_path.write_bytes(resp.content)
+
+    else:
+        # Local path
+        target_path = _ensure_inside_base(base_path / file, base_path)
+        if not target_path.is_file():
+            raise ValueError(f"Local file does not exist: {target_path}")
+
+    # Return result
+    if return_content:
+        return MediaFileType(_file_to_data_uri(target_path))
+    else:
+        return MediaFileType(_strip_base_prefix(target_path, base_path))
+
+
+def get_mime_type(file: str) -> str:
+    """
+    Get the MIME type of a file, whether it's a data URI, URL, or local path.
+    """
+    if file.startswith("data:"):
+        match = re.match(r"^data:([^;]+);base64,", file)
+        return match.group(1) if match else "application/octet-stream"
+
+    elif file.startswith(("http://", "https://")):
+        parsed_url = urlparse(file)
+        mime_type, _ = mimetypes.guess_type(parsed_url.path)
+        return mime_type or "application/octet-stream"
+
+    else:
+        mime_type, _ = mimetypes.guess_type(file)
+        return mime_type or "application/octet-stream"
diff --git a/autogpt_platform/backend/backend/util/file_test.py b/autogpt_platform/backend/backend/util/file_test.py
new file mode 100644
index 000000000000..cd4fc697069a
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/file_test.py
@@ -0,0 +1,238 @@
+"""
+Tests for cloud storage integration in file utilities.
+"""
+
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from backend.util.file import store_media_file
+from backend.util.type import MediaFileType
+
+
+class TestFileCloudIntegration:
+    """Test cases for cloud storage integration in file utilities."""
+
+    @pytest.mark.asyncio
+    async def test_store_media_file_cloud_path(self):
+        """Test storing a file from cloud storage path."""
+        graph_exec_id = "test-exec-123"
+        cloud_path = "gcs://test-bucket/uploads/456/source.txt"
+        cloud_content = b"cloud file content"
+
+        with patch(
+            "backend.util.file.get_cloud_storage_handler"
+        ) as mock_handler_getter, patch(
+            "backend.util.file.scan_content_safe"
+        ) as mock_scan, patch(
+            "backend.util.file.Path"
+        ) as mock_path_class:
+
+            # Mock cloud storage handler
+            mock_handler = MagicMock()
+            mock_handler.is_cloud_path.return_value = True
+            mock_handler.parse_cloud_path.return_value = (
+                "gcs",
+                "test-bucket/uploads/456/source.txt",
+            )
+            mock_handler.retrieve_file = AsyncMock(return_value=cloud_content)
+            mock_handler_getter.return_value = mock_handler
+
+            # Mock virus scanner
+            mock_scan.return_value = None
+
+            # Mock file system operations
+            mock_base_path = MagicMock()
+            mock_target_path = MagicMock()
+            mock_resolved_path = MagicMock()
+
+            mock_path_class.return_value = mock_base_path
+            mock_base_path.mkdir = MagicMock()
+            mock_base_path.__truediv__ = MagicMock(return_value=mock_target_path)
+            mock_target_path.resolve.return_value = mock_resolved_path
+            mock_resolved_path.is_relative_to.return_value = True
+            mock_resolved_path.write_bytes = MagicMock()
+            mock_resolved_path.relative_to.return_value = Path("source.txt")
+
+            # Configure the main Path mock to handle filename extraction
+            # When Path(path_part) is called, it should return a mock with .name = "source.txt"
+            mock_path_for_filename = MagicMock()
+            mock_path_for_filename.name = "source.txt"
+
+            # The Path constructor should return different mocks for different calls
+            def path_constructor(*args, **kwargs):
+                if len(args) == 1 and "source.txt" in str(args[0]):
+                    return mock_path_for_filename
+                else:
+                    return mock_base_path
+
+            mock_path_class.side_effect = path_constructor
+
+            result = await store_media_file(
+                graph_exec_id,
+                MediaFileType(cloud_path),
+                "test-user-123",
+                return_content=False,
+            )
+
+            # Verify cloud storage operations
+            mock_handler.is_cloud_path.assert_called_once_with(cloud_path)
+            mock_handler.parse_cloud_path.assert_called_once_with(cloud_path)
+            mock_handler.retrieve_file.assert_called_once_with(
+                cloud_path, user_id="test-user-123", graph_exec_id=graph_exec_id
+            )
+
+            # Verify virus scan
+            mock_scan.assert_called_once_with(cloud_content, filename="source.txt")
+
+            # Verify file operations
+            mock_resolved_path.write_bytes.assert_called_once_with(cloud_content)
+
+            # Result should be the relative path
+            assert str(result) == "source.txt"
+
+    @pytest.mark.asyncio
+    async def test_store_media_file_cloud_path_return_content(self):
+        """Test storing a file from cloud storage and returning content."""
+        graph_exec_id = "test-exec-123"
+        cloud_path = "gcs://test-bucket/uploads/456/image.png"
+        cloud_content = b"\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR"  # PNG header
+
+        with patch(
+            "backend.util.file.get_cloud_storage_handler"
+        ) as mock_handler_getter, patch(
+            "backend.util.file.scan_content_safe"
+        ) as mock_scan, patch(
+            "backend.util.file.get_mime_type"
+        ) as mock_mime, patch(
+            "backend.util.file.base64.b64encode"
+        ) as mock_b64, patch(
+            "backend.util.file.Path"
+        ) as mock_path_class:
+
+            # Mock cloud storage handler
+            mock_handler = MagicMock()
+            mock_handler.is_cloud_path.return_value = True
+            mock_handler.parse_cloud_path.return_value = (
+                "gcs",
+                "test-bucket/uploads/456/image.png",
+            )
+            mock_handler.retrieve_file = AsyncMock(return_value=cloud_content)
+            mock_handler_getter.return_value = mock_handler
+
+            # Mock other operations
+            mock_scan.return_value = None
+            mock_mime.return_value = "image/png"
+            mock_b64.return_value.decode.return_value = "iVBORw0KGgoAAAANSUhEUgA="
+
+            # Mock file system operations
+            mock_base_path = MagicMock()
+            mock_target_path = MagicMock()
+            mock_resolved_path = MagicMock()
+
+            mock_path_class.return_value = mock_base_path
+            mock_base_path.mkdir = MagicMock()
+            mock_base_path.__truediv__ = MagicMock(return_value=mock_target_path)
+            mock_target_path.resolve.return_value = mock_resolved_path
+            mock_resolved_path.is_relative_to.return_value = True
+            mock_resolved_path.write_bytes = MagicMock()
+            mock_resolved_path.read_bytes.return_value = cloud_content
+
+            # Mock Path constructor for filename extraction
+            mock_path_obj = MagicMock()
+            mock_path_obj.name = "image.png"
+            with patch("backend.util.file.Path", return_value=mock_path_obj):
+                result = await store_media_file(
+                    graph_exec_id,
+                    MediaFileType(cloud_path),
+                    "test-user-123",
+                    return_content=True,
+                )
+
+            # Verify result is a data URI
+            assert str(result).startswith("data:image/png;base64,")
+
+    @pytest.mark.asyncio
+    async def test_store_media_file_non_cloud_path(self):
+        """Test that non-cloud paths are handled normally."""
+        graph_exec_id = "test-exec-123"
+        data_uri = "data:text/plain;base64,SGVsbG8gd29ybGQ="
+
+        with patch(
+            "backend.util.file.get_cloud_storage_handler"
+        ) as mock_handler_getter, patch(
+            "backend.util.file.scan_content_safe"
+        ) as mock_scan, patch(
+            "backend.util.file.base64.b64decode"
+        ) as mock_b64decode, patch(
+            "backend.util.file.uuid.uuid4"
+        ) as mock_uuid, patch(
+            "backend.util.file.Path"
+        ) as mock_path_class:
+
+            # Mock cloud storage handler
+            mock_handler = MagicMock()
+            mock_handler.is_cloud_path.return_value = False
+            mock_handler.retrieve_file = (
+                AsyncMock()
+            )  # Add this even though it won't be called
+            mock_handler_getter.return_value = mock_handler
+
+            # Mock other operations
+            mock_scan.return_value = None
+            mock_b64decode.return_value = b"Hello world"
+            mock_uuid.return_value = "test-uuid-789"
+
+            # Mock file system operations
+            mock_base_path = MagicMock()
+            mock_target_path = MagicMock()
+            mock_resolved_path = MagicMock()
+
+            mock_path_class.return_value = mock_base_path
+            mock_base_path.mkdir = MagicMock()
+            mock_base_path.__truediv__ = MagicMock(return_value=mock_target_path)
+            mock_target_path.resolve.return_value = mock_resolved_path
+            mock_resolved_path.is_relative_to.return_value = True
+            mock_resolved_path.write_bytes = MagicMock()
+            mock_resolved_path.relative_to.return_value = Path("test-uuid-789.txt")
+
+            await store_media_file(
+                graph_exec_id,
+                MediaFileType(data_uri),
+                "test-user-123",
+                return_content=False,
+            )
+
+            # Verify cloud handler was checked but not used for retrieval
+            mock_handler.is_cloud_path.assert_called_once_with(data_uri)
+            mock_handler.retrieve_file.assert_not_called()
+
+            # Verify normal data URI processing occurred
+            mock_b64decode.assert_called_once()
+            mock_resolved_path.write_bytes.assert_called_once_with(b"Hello world")
+
+    @pytest.mark.asyncio
+    async def test_store_media_file_cloud_retrieval_error(self):
+        """Test error handling when cloud retrieval fails."""
+        graph_exec_id = "test-exec-123"
+        cloud_path = "gcs://test-bucket/nonexistent.txt"
+
+        with patch(
+            "backend.util.file.get_cloud_storage_handler"
+        ) as mock_handler_getter:
+
+            # Mock cloud storage handler to raise error
+            mock_handler = AsyncMock()
+            mock_handler.is_cloud_path.return_value = True
+            mock_handler.retrieve_file.side_effect = FileNotFoundError(
+                "File not found in cloud storage"
+            )
+            mock_handler_getter.return_value = mock_handler
+
+            with pytest.raises(
+                FileNotFoundError, match="File not found in cloud storage"
+            ):
+                await store_media_file(
+                    graph_exec_id, MediaFileType(cloud_path), "test-user-123"
+                )
diff --git a/autogpt_platform/backend/backend/util/json.py b/autogpt_platform/backend/backend/util/json.py
index 7f88917414c4..e425483c3148 100644
--- a/autogpt_platform/backend/backend/util/json.py
+++ b/autogpt_platform/backend/backend/util/json.py
@@ -1,32 +1,69 @@
 import json
-from typing import Any, Type, TypeVar, overload
+from typing import Any, Type, TypeGuard, TypeVar, overload
 
 import jsonschema
 from fastapi.encoders import jsonable_encoder
+from prisma import Json
+from pydantic import BaseModel
 
 from .type import type_match
 
 
 def to_dict(data) -> dict:
+    if isinstance(data, BaseModel):
+        data = data.model_dump()
     return jsonable_encoder(data)
 
 
-def dumps(data) -> str:
-    return json.dumps(jsonable_encoder(data))
+def dumps(data: Any, *args: Any, **kwargs: Any) -> str:
+    """
+    Serialize data to JSON string with automatic conversion of Pydantic models and complex types.
+
+    This function converts the input data to a JSON-serializable format using FastAPI's
+    jsonable_encoder before dumping to JSON. It handles Pydantic models, complex types,
+    and ensures proper serialization.
+
+    Parameters
+    ----------
+    data : Any
+        The data to serialize. Can be any type including Pydantic models, dicts, lists, etc.
+    *args : Any
+        Additional positional arguments passed to json.dumps()
+    **kwargs : Any
+        Additional keyword arguments passed to json.dumps() (e.g., indent, separators)
+
+    Returns
+    -------
+    str
+        JSON string representation of the data
+
+    Examples
+    --------
+    >>> dumps({"name": "Alice", "age": 30})
+    '{"name": "Alice", "age": 30}'
+
+    >>> dumps(pydantic_model_instance, indent=2)
+    '{\n  "field1": "value1",\n  "field2": "value2"\n}'
+    """
+    return json.dumps(to_dict(data), *args, **kwargs)
 
 
 T = TypeVar("T")
 
 
 @overload
-def loads(data: str, *args, target_type: Type[T], **kwargs) -> T: ...
+def loads(data: str | bytes, *args, target_type: Type[T], **kwargs) -> T: ...
 
 
 @overload
-def loads(data: str, *args, **kwargs) -> Any: ...
+def loads(data: str | bytes, *args, **kwargs) -> Any: ...
 
 
-def loads(data: str, *args, target_type: Type[T] | None = None, **kwargs) -> Any:
+def loads(
+    data: str | bytes, *args, target_type: Type[T] | None = None, **kwargs
+) -> Any:
+    if isinstance(data, bytes):
+        data = data.decode("utf-8")
     parsed = json.loads(data, *args, **kwargs)
     if target_type:
         return type_match(parsed, target_type)
@@ -45,3 +82,33 @@ def validate_with_jsonschema(
         return None
     except jsonschema.ValidationError as e:
         return str(e)
+
+
+def is_list_of_basemodels(value: object) -> TypeGuard[list[BaseModel]]:
+    return isinstance(value, list) and all(
+        isinstance(item, BaseModel) for item in value
+    )
+
+
+def convert_pydantic_to_json(output_data: Any) -> Any:
+    if isinstance(output_data, BaseModel):
+        return output_data.model_dump()
+    if is_list_of_basemodels(output_data):
+        return [item.model_dump() for item in output_data]
+    return output_data
+
+
+def SafeJson(data: Any) -> Json:
+    """Safely serialize data and return Prisma's Json type."""
+    if isinstance(data, BaseModel):
+        return Json(
+            data.model_dump(
+                mode="json",
+                warnings="error",
+                exclude_none=True,
+                fallback=lambda v: None,
+            )
+        )
+    # Round-trip through JSON to ensure proper serialization with fallback for non-serializable values
+    json_string = dumps(data, default=lambda v: None)
+    return Json(json.loads(json_string))
diff --git a/autogpt_platform/backend/backend/util/logging.py b/autogpt_platform/backend/backend/util/logging.py
index 63166a84c23b..f07d154dab94 100644
--- a/autogpt_platform/backend/backend/util/logging.py
+++ b/autogpt_platform/backend/backend/util/logging.py
@@ -1,11 +1,11 @@
+import logging
+
 from backend.util.settings import AppEnvironment, BehaveAs, Settings
 
 settings = Settings()
 
 
 def configure_logging():
-    import logging
-
     import autogpt_libs.logging.config
 
     if (
@@ -18,3 +18,59 @@ def configure_logging():
 
     # Silence httpx logger
     logging.getLogger("httpx").setLevel(logging.WARNING)
+
+
+class TruncatedLogger:
+    def __init__(
+        self,
+        logger: logging.Logger,
+        prefix: str = "",
+        metadata: dict | None = None,
+        max_length: int = 1000,
+    ):
+        self.logger = logger
+        self.metadata = metadata or {}
+        self.max_length = max_length
+        self.prefix = prefix
+
+    def info(self, msg: str, **extra):
+        msg = self._wrap(msg, **extra)
+        self.logger.info(msg, extra=self._get_metadata(**extra))
+
+    def warning(self, msg: str, **extra):
+        msg = self._wrap(msg, **extra)
+        self.logger.warning(msg, extra=self._get_metadata(**extra))
+
+    def error(self, msg: str, **extra):
+        msg = self._wrap(msg, **extra)
+        self.logger.error(msg, extra=self._get_metadata(**extra))
+
+    def debug(self, msg: str, **extra):
+        msg = self._wrap(msg, **extra)
+        self.logger.debug(msg, extra=self._get_metadata(**extra))
+
+    def exception(self, msg: str, **extra):
+        msg = self._wrap(msg, **extra)
+        self.logger.exception(msg, extra=self._get_metadata(**extra))
+
+    def _get_metadata(self, **extra):
+        metadata = {**self.metadata, **extra}
+        return {"json_fields": metadata} if metadata else {}
+
+    def _wrap(self, msg: str, **extra):
+        extra_msg = str(extra or "")
+        text = f"{self.prefix} {msg} {extra_msg}"
+        if len(text) > self.max_length:
+            half = (self.max_length - 3) // 2
+            text = text[:half] + "..." + text[-half:]
+        return text
+
+
+class PrefixFilter(logging.Filter):
+    def __init__(self, prefix: str):
+        super().__init__()
+        self.prefix = prefix
+
+    def filter(self, record):
+        record.msg = f"{self.prefix} {record.msg}"
+        return True
diff --git a/autogpt_platform/backend/backend/util/metrics.py b/autogpt_platform/backend/backend/util/metrics.py
index 6381028fe05c..ff92537d4ea6 100644
--- a/autogpt_platform/backend/backend/util/metrics.py
+++ b/autogpt_platform/backend/backend/util/metrics.py
@@ -1,8 +1,75 @@
+import logging
+from enum import Enum
+
 import sentry_sdk
+from pydantic import SecretStr
+from sentry_sdk.integrations.anthropic import AnthropicIntegration
+from sentry_sdk.integrations.logging import LoggingIntegration
 
 from backend.util.settings import Settings
 
+settings = Settings()
+
+
+class DiscordChannel(str, Enum):
+    PLATFORM = "platform"  # For platform/system alerts
+    PRODUCT = "product"  # For product alerts (low balance, zero balance, etc.)
+
 
 def sentry_init():
-    sentry_dsn = Settings().secrets.sentry_dsn
-    sentry_sdk.init(dsn=sentry_dsn, traces_sample_rate=1.0, profiles_sample_rate=1.0)
+    sentry_dsn = settings.secrets.sentry_dsn
+    sentry_sdk.init(
+        dsn=sentry_dsn,
+        traces_sample_rate=1.0,
+        profiles_sample_rate=1.0,
+        environment=f"app:{settings.config.app_env.value}-behave:{settings.config.behave_as.value}",
+        _experiments={"enable_logs": True},
+        integrations=[
+            LoggingIntegration(sentry_logs_level=logging.INFO),
+            AnthropicIntegration(
+                include_prompts=False,
+            ),
+        ],
+    )
+
+
+def sentry_capture_error(error: Exception):
+    sentry_sdk.capture_exception(error)
+    sentry_sdk.flush()
+
+
+async def discord_send_alert(
+    content: str, channel: DiscordChannel = DiscordChannel.PLATFORM
+):
+    from backend.blocks.discord.bot_blocks import SendDiscordMessageBlock
+    from backend.data.model import APIKeyCredentials, CredentialsMetaInput, ProviderName
+
+    creds = APIKeyCredentials(
+        provider="discord",
+        api_key=SecretStr(settings.secrets.discord_bot_token),
+        title="Provide Discord Bot Token for the platform alert",
+        expires_at=None,
+    )
+
+    # Select channel based on enum
+    if channel == DiscordChannel.PLATFORM:
+        channel_name = settings.config.platform_alert_discord_channel
+    elif channel == DiscordChannel.PRODUCT:
+        channel_name = settings.config.product_alert_discord_channel
+    else:
+        channel_name = settings.config.platform_alert_discord_channel
+
+    return await SendDiscordMessageBlock().run_once(
+        SendDiscordMessageBlock.Input(
+            credentials=CredentialsMetaInput(
+                id=creds.id,
+                title=creds.title,
+                type=creds.type,
+                provider=ProviderName.DISCORD,
+            ),
+            message_content=content,
+            channel_name=channel_name,
+        ),
+        "status",
+        credentials=creds,
+    )
diff --git a/autogpt_platform/backend/backend/util/models.py b/autogpt_platform/backend/backend/util/models.py
new file mode 100644
index 000000000000..a4b21af90043
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/models.py
@@ -0,0 +1,29 @@
+"""
+Shared models and types used across the backend to avoid circular imports.
+"""
+
+import pydantic
+
+
+class Pagination(pydantic.BaseModel):
+    total_items: int = pydantic.Field(
+        description="Total number of items.", examples=[42]
+    )
+    total_pages: int = pydantic.Field(
+        description="Total number of pages.", examples=[2]
+    )
+    current_page: int = pydantic.Field(
+        description="Current_page page number.", examples=[1]
+    )
+    page_size: int = pydantic.Field(
+        description="Number of items per page.", examples=[25]
+    )
+
+    @staticmethod
+    def empty() -> "Pagination":
+        return Pagination(
+            total_items=0,
+            total_pages=0,
+            current_page=0,
+            page_size=0,
+        )
diff --git a/autogpt_platform/backend/backend/util/process.py b/autogpt_platform/backend/backend/util/process.py
index 218ac749d0aa..4e37f960d863 100644
--- a/autogpt_platform/backend/backend/util/process.py
+++ b/autogpt_platform/backend/backend/util/process.py
@@ -3,7 +3,7 @@
 import signal
 import sys
 from abc import ABC, abstractmethod
-from multiprocessing import Process, set_start_method
+from multiprocessing import Process, get_all_start_methods, set_start_method
 from typing import Optional
 
 from backend.util.logging import configure_logging
@@ -28,8 +28,14 @@ class AppProcess(ABC):
     """
 
     process: Optional[Process] = None
+    cleaned_up = False
+
+    if "forkserver" in get_all_start_methods():
+        set_start_method("forkserver", force=True)
+    else:
+        logger.warning("Forkserver start method is not available. Using spawn instead.")
+        set_start_method("spawn", force=True)
 
-    set_start_method("spawn", force=True)
     configure_logging()
     sentry_init()
 
@@ -42,11 +48,11 @@ def run(self):
         """
         pass
 
-    @classmethod
     @property
-    def service_name(cls) -> str:
-        return cls.__name__
+    def service_name(self) -> str:
+        return self.__class__.__name__
 
+    @abstractmethod
     def cleanup(self):
         """
         Implement this method on a subclass to do post-execution cleanup,
@@ -54,14 +60,9 @@ def cleanup(self):
         """
         pass
 
-    def health_check(self):
-        """
-        A method to check the health of the process.
-        """
-        pass
-
     def execute_run_command(self, silent):
         signal.signal(signal.SIGTERM, self._self_terminate)
+        signal.signal(signal.SIGINT, self._self_terminate)
 
         try:
             if silent:
@@ -71,12 +72,30 @@ def execute_run_command(self, silent):
             set_service_name(self.service_name)
             logger.info(f"[{self.service_name}] Starting...")
             self.run()
-        except (KeyboardInterrupt, SystemExit) as e:
-            logger.warning(f"[{self.service_name}] Terminated: {e}; quitting...")
+        except BaseException as e:
+            logger.warning(
+                f"[{self.service_name}] Termination request: {type(e).__name__}; {e} executing cleanup."
+            )
+        finally:
+            self.cleanup()
+            logger.info(f"[{self.service_name}] Terminated.")
+
+    @staticmethod
+    def llprint(message: str):
+        """
+        Low-level print/log helper function for use in signal handlers.
+        Regular log/print statements are not allowed in signal handlers.
+        """
+        os.write(sys.stdout.fileno(), (message + "\n").encode())
 
     def _self_terminate(self, signum: int, frame):
-        self.cleanup()
-        sys.exit(0)
+        if not self.cleaned_up:
+            self.cleaned_up = True
+            sys.exit(0)
+        else:
+            self.llprint(
+                f"[{self.service_name}] Received exit signal {signum}, but cleanup is already underway."
+            )
 
     # Methods that are executed OUTSIDE the process #
 
@@ -108,7 +127,8 @@ def start(self, background: bool = False, silent: bool = False, **proc_args) ->
             **proc_args,
         )
         self.process.start()
-        self.health_check()
+        logger.info(f"[{self.service_name}] started with PID {self.process.pid}")
+
         return self.process.pid or 0
 
     def stop(self):
@@ -120,4 +140,6 @@ def stop(self):
 
         self.process.terminate()
         self.process.join()
+
+        logger.info(f"[{self.service_name}] with PID {self.process.pid} stopped")
         self.process = None
diff --git a/autogpt_platform/backend/backend/util/prompt.py b/autogpt_platform/backend/backend/util/prompt.py
new file mode 100644
index 000000000000..2640e038dc5a
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/prompt.py
@@ -0,0 +1,206 @@
+from copy import deepcopy
+from typing import Any
+
+from tiktoken import encoding_for_model
+
+from backend.util import json
+
+# ---------------------------------------------------------------------------#
+#  INTERNAL UTILITIES                                                         #
+# ---------------------------------------------------------------------------#
+
+
+def _tok_len(text: str, enc) -> int:
+    """True token length of *text* in tokenizer *enc* (no wrapper cost)."""
+    return len(enc.encode(str(text)))
+
+
+def _msg_tokens(msg: dict, enc) -> int:
+    """
+    OpenAI counts ≈3 wrapper tokens per chat message, plus 1 if "name"
+    is present, plus the tokenised content length.
+    """
+    WRAPPER = 3 + (1 if "name" in msg else 0)
+    return WRAPPER + _tok_len(msg.get("content") or "", enc)
+
+
+def _truncate_middle_tokens(text: str, enc, max_tok: int) -> str:
+    """
+    Return *text* shortened to ≈max_tok tokens by keeping the head & tail
+    and inserting an ellipsis token in the middle.
+    """
+    ids = enc.encode(str(text))
+    if len(ids) <= max_tok:
+        return text  # nothing to do
+
+    # Split the allowance between the two ends:
+    head = max_tok // 2 - 1  # -1 for the ellipsis
+    tail = max_tok - head - 1
+    mid = enc.encode(" … ")
+    return enc.decode(ids[:head] + mid + ids[-tail:])
+
+
+# ---------------------------------------------------------------------------#
+#  PUBLIC API                                                                 #
+# ---------------------------------------------------------------------------#
+
+
+def compress_prompt(
+    messages: list[dict],
+    target_tokens: int,
+    *,
+    model: str = "gpt-4o",
+    reserve: int = 2_048,
+    start_cap: int = 8_192,
+    floor_cap: int = 128,
+    lossy_ok: bool = True,
+) -> list[dict]:
+    """
+    Shrink *messages* so that::
+
+        token_count(prompt) + reserve  ≤  target_tokens
+
+    Strategy
+    --------
+    1. **Token-aware truncation** – progressively halve a per-message cap
+       (`start_cap`, `start_cap/2`, … `floor_cap`) and apply it to the
+       *content* of every message except the first and last.  Tool shells
+       are included: we keep the envelope but shorten huge payloads.
+    2. **Middle-out deletion** – if still over the limit, delete whole
+       messages working outward from the centre, **skipping** any message
+       that contains ``tool_calls`` or has ``role == "tool"``.
+    3. **Last-chance trim** – if still too big, truncate the *first* and
+       *last* message bodies down to `floor_cap` tokens.
+    4. If the prompt is *still* too large:
+         • raise ``ValueError``      when ``lossy_ok == False`` (default)
+         • return the partially-trimmed prompt when ``lossy_ok == True``
+
+    Parameters
+    ----------
+    messages        Complete chat history (will be deep-copied).
+    model           Model name; passed to tiktoken to pick the right
+                    tokenizer (gpt-4o → 'o200k_base', others fallback).
+    target_tokens   Hard ceiling for prompt size **excluding** the model's
+                    forthcoming answer.
+    reserve         How many tokens you want to leave available for that
+                    answer (`max_tokens` in your subsequent completion call).
+    start_cap       Initial per-message truncation ceiling (tokens).
+    floor_cap       Lowest cap we'll accept before moving to deletions.
+    lossy_ok        If *True* return best-effort prompt instead of raising
+                    after all trim passes have been exhausted.
+
+    Returns
+    -------
+    list[dict]  – A *new* messages list that abides by the rules above.
+    """
+    enc = encoding_for_model(model)  # best-match tokenizer
+    msgs = deepcopy(messages)  # never mutate caller
+
+    def total_tokens() -> int:
+        """Current size of *msgs* in tokens."""
+        return sum(_msg_tokens(m, enc) for m in msgs)
+
+    original_token_count = total_tokens()
+    if original_token_count + reserve <= target_tokens:
+        return msgs
+
+    # ---- STEP 0 : normalise content --------------------------------------
+    # Convert non-string payloads to strings so token counting is coherent.
+    for m in msgs[1:-1]:  # keep the first & last intact
+        if not isinstance(m.get("content"), str) and m.get("content") is not None:
+            # Reasonable 20k-char ceiling prevents pathological blobs
+            content_str = json.dumps(m["content"], separators=(",", ":"))
+            if len(content_str) > 20_000:
+                content_str = _truncate_middle_tokens(content_str, enc, 20_000)
+            m["content"] = content_str
+
+    # ---- STEP 1 : token-aware truncation ---------------------------------
+    cap = start_cap
+    while total_tokens() + reserve > target_tokens and cap >= floor_cap:
+        for m in msgs[1:-1]:  # keep first & last intact
+            if _tok_len(m.get("content") or "", enc) > cap:
+                m["content"] = _truncate_middle_tokens(m["content"], enc, cap)
+        cap //= 2  # tighten the screw
+
+    # ---- STEP 2 : middle-out deletion -----------------------------------
+    while total_tokens() + reserve > target_tokens and len(msgs) > 2:
+        centre = len(msgs) // 2
+        # Build a symmetrical centre-out index walk: centre, centre+1, centre-1, ...
+        order = [centre] + [
+            i
+            for pair in zip(range(centre + 1, len(msgs) - 1), range(centre - 1, 0, -1))
+            for i in pair
+        ]
+        removed = False
+        for i in order:
+            msg = msgs[i]
+            if "tool_calls" in msg or msg.get("role") == "tool":
+                continue  # protect tool shells
+            del msgs[i]
+            removed = True
+            break
+        if not removed:  # nothing more we can drop
+            break
+
+    # ---- STEP 3 : final safety-net trim on first & last ------------------
+    cap = start_cap
+    while total_tokens() + reserve > target_tokens and cap >= floor_cap:
+        for idx in (0, -1):  # first and last
+            text = msgs[idx].get("content") or ""
+            if _tok_len(text, enc) > cap:
+                msgs[idx]["content"] = _truncate_middle_tokens(text, enc, cap)
+        cap //= 2  # tighten the screw
+
+    # ---- STEP 4 : success or fail-gracefully -----------------------------
+    if total_tokens() + reserve > target_tokens and not lossy_ok:
+        raise ValueError(
+            "compress_prompt: prompt still exceeds budget "
+            f"({total_tokens() + reserve} > {target_tokens})."
+        )
+
+    return msgs
+
+
+def estimate_token_count(
+    messages: list[dict],
+    *,
+    model: str = "gpt-4o",
+) -> int:
+    """
+    Return the true token count of *messages* when encoded for *model*.
+
+    Parameters
+    ----------
+    messages    Complete chat history.
+    model       Model name; passed to tiktoken to pick the right
+                tokenizer (gpt-4o → 'o200k_base', others fallback).
+
+    Returns
+    -------
+    int  – Token count.
+    """
+    enc = encoding_for_model(model)  # best-match tokenizer
+    return sum(_msg_tokens(m, enc) for m in messages)
+
+
+def estimate_token_count_str(
+    text: Any,
+    *,
+    model: str = "gpt-4o",
+) -> int:
+    """
+    Return the true token count of *text* when encoded for *model*.
+
+    Parameters
+    ----------
+    text    Input text.
+    model   Model name; passed to tiktoken to pick the right
+            tokenizer (gpt-4o → 'o200k_base', others fallback).
+
+    Returns
+    -------
+    int  – Token count.
+    """
+    enc = encoding_for_model(model)  # best-match tokenizer
+    text = json.dumps(text) if not isinstance(text, str) else text
+    return _tok_len(text, enc)
diff --git a/autogpt_platform/backend/backend/util/request.py b/autogpt_platform/backend/backend/util/request.py
index f1eae6c244ce..7c7c684c48b2 100644
--- a/autogpt_platform/backend/backend/util/request.py
+++ b/autogpt_platform/backend/backend/util/request.py
@@ -1,17 +1,27 @@
+import asyncio
 import ipaddress
 import re
 import socket
-from typing import Callable
-from urllib.parse import urlparse, urlunparse
+import ssl
+from io import BytesIO
+from typing import Any, Callable, Optional
+from urllib.parse import ParseResult as URL
+from urllib.parse import quote, urljoin, urlparse
 
+import aiohttp
 import idna
-import requests as req
+from aiohttp import FormData, abc
+from tenacity import retry, retry_if_result, wait_exponential_jitter
 
-from backend.util.settings import Config
+from backend.util.json import json
+
+# Retry status codes for which we will automatically retry the request
+THROTTLE_RETRY_STATUS_CODES: set[int] = {429, 500, 502, 503, 504, 408}
 
 # List of IP networks to block
 BLOCKED_IP_NETWORKS = [
     # --8<-- [start:BLOCKED_IP_NETWORKS]
+    # IPv4 Ranges
     ipaddress.ip_network("0.0.0.0/8"),  # "This" Network
     ipaddress.ip_network("10.0.0.0/8"),  # Private-Use
     ipaddress.ip_network("127.0.0.0/8"),  # Loopback
@@ -20,6 +30,11 @@
     ipaddress.ip_network("192.168.0.0/16"),  # Private-Use
     ipaddress.ip_network("224.0.0.0/4"),  # Multicast
     ipaddress.ip_network("240.0.0.0/4"),  # Reserved for Future Use
+    # IPv6 Ranges
+    ipaddress.ip_network("::1/128"),  # Loopback
+    ipaddress.ip_network("fc00::/7"),  # Unique local addresses (ULA)
+    ipaddress.ip_network("fe80::/10"),  # Link-local
+    ipaddress.ip_network("ff00::/8"),  # Multicast
     # --8<-- [end:BLOCKED_IP_NETWORKS]
 ]
 
@@ -27,18 +42,6 @@
 HOSTNAME_REGEX = re.compile(r"^[A-Za-z0-9.-]+$")  # Basic DNS-safe hostname pattern
 
 
-def _canonicalize_url(url: str) -> str:
-    # Strip spaces and trailing slashes
-    url = url.strip().strip("/")
-    # Ensure the URL starts with http:// or https://
-    if not url.startswith(("http://", "https://")):
-        url = "http://" + url
-
-    # Replace backslashes with forward slashes to avoid parsing ambiguities
-    url = url.replace("\\", "/")
-    return url
-
-
 def _is_ip_blocked(ip: str) -> bool:
     """
     Checks if the IP address is in a blocked network.
@@ -47,13 +50,93 @@ def _is_ip_blocked(ip: str) -> bool:
     return any(ip_addr in network for network in BLOCKED_IP_NETWORKS)
 
 
-def validate_url(url: str, trusted_origins: list[str]) -> str:
+def _remove_insecure_headers(headers: dict, old_url: URL, new_url: URL) -> dict:
     """
-    Validates the URL to prevent SSRF attacks by ensuring it does not point to a private
-    or untrusted IP address, unless whitelisted.
+    Removes sensitive headers (Authorization, Proxy-Authorization, Cookie)
+    if the scheme/host/port of new_url differ from old_url.
+    """
+    if (
+        (old_url.scheme != new_url.scheme)
+        or (old_url.hostname != new_url.hostname)
+        or (old_url.port != new_url.port)
+    ):
+        headers.pop("Authorization", None)
+        headers.pop("Proxy-Authorization", None)
+        headers.pop("Cookie", None)
+    return headers
+
+
+class HostResolver(abc.AbstractResolver):
     """
-    url = _canonicalize_url(url)
+    A custom resolver that connects to specified IP addresses but still
+    sets the TLS SNI to the original host name so the cert can match.
+    """
+
+    def __init__(self, ssl_hostname: str, ip_addresses: list[str]):
+        self.ssl_hostname = ssl_hostname
+        self.ip_addresses = ip_addresses
+        self._default = aiohttp.AsyncResolver()
+
+    async def resolve(self, host, port=0, family=socket.AF_INET):
+        if host == self.ssl_hostname:
+            results = []
+            for ip in self.ip_addresses:
+                results.append(
+                    {
+                        "hostname": self.ssl_hostname,
+                        "host": ip,
+                        "port": port,
+                        "family": family,
+                        "proto": 0,
+                        "flags": socket.AI_NUMERICHOST,
+                    }
+                )
+            return results
+        return await self._default.resolve(host, port, family)
+
+    async def close(self):
+        await self._default.close()
+
+
+async def _resolve_host(hostname: str) -> list[str]:
+    """
+    Resolves the hostname to a list of IP addresses (IPv4 first, then IPv6).
+    """
+    loop = asyncio.get_running_loop()
+    try:
+        infos = await loop.getaddrinfo(hostname, None)
+    except socket.gaierror:
+        raise ValueError(f"Unable to resolve IP address for hostname {hostname}")
+
+    ip_list = [info[4][0] for info in infos]
+    ipv4 = [ip for ip in ip_list if ":" not in ip]
+    ipv6 = [ip for ip in ip_list if ":" in ip]
+    ip_addresses = ipv4 + ipv6
+
+    if not ip_addresses:
+        raise ValueError(f"No IP addresses found for {hostname}")
+    return ip_addresses
+
+
+async def validate_url(
+    url: str, trusted_origins: list[str]
+) -> tuple[URL, bool, list[str]]:
+    """
+    Validates the URL to prevent SSRF attacks by ensuring it does not point
+    to a private, link-local, or otherwise blocked IP address — unless
+    the hostname is explicitly trusted.
+
+    Returns:
+        str: The validated, canonicalized, parsed URL
+        is_trusted: Boolean indicating if the hostname is in trusted_origins
+        ip_addresses: List of IP addresses for the host; empty if the host is trusted
+    """
+    # Canonicalize URL
+    url = url.strip("/ ").replace("\\", "/")
     parsed = urlparse(url)
+    if not parsed.scheme:
+        url = f"http://{url}"
+        parsed = urlparse(url)
 
     # Check scheme
     if parsed.scheme not in ALLOWED_SCHEMES:
@@ -61,7 +144,7 @@ def validate_url(url: str, trusted_origins: list[str]) -> str:
             f"Scheme '{parsed.scheme}' is not allowed. Only HTTP/HTTPS are supported."
         )
 
-    # Validate and IDNA encode the hostname
+    # Validate and IDNA encode hostname
     if not parsed.hostname:
         raise ValueError("Invalid URL: No hostname found.")
 
@@ -75,44 +158,142 @@ def validate_url(url: str, trusted_origins: list[str]) -> str:
     if not HOSTNAME_REGEX.match(ascii_hostname):
         raise ValueError("Hostname contains invalid characters.")
 
-    # Rebuild the URL with the normalized, IDNA-encoded hostname
-    parsed = parsed._replace(netloc=ascii_hostname)
-    url = str(urlunparse(parsed))
+    # Check if hostname is trusted
+    is_trusted = ascii_hostname in trusted_origins
+
+    # If not trusted, validate IP addresses
+    ip_addresses: list[str] = []
+    if not is_trusted:
+        # Resolve all IP addresses for the hostname
+        ip_addresses = await _resolve_host(ascii_hostname)
+
+        # Block any IP address that belongs to a blocked range
+        for ip_str in ip_addresses:
+            if _is_ip_blocked(ip_str):
+                raise ValueError(
+                    f"Access to blocked or private IP address {ip_str} "
+                    f"for hostname {ascii_hostname} is not allowed."
+                )
+
+    return (
+        URL(
+            parsed.scheme,
+            ascii_hostname,
+            quote(parsed.path, safe="/%:@"),
+            parsed.params,
+            parsed.query,
+            parsed.fragment,
+        ),
+        is_trusted,
+        ip_addresses,
+    )
+
+
+def pin_url(url: URL, ip_addresses: Optional[list[str]] = None) -> URL:
+    """
+    Pins a URL to a specific IP address to prevent DNS rebinding attacks.
 
-    # Check if hostname is a trusted origin (exact match)
-    if ascii_hostname in trusted_origins:
-        return url
+    Args:
+        url: The original URL
+        ip_addresses: List of IP addresses corresponding to the URL's host
 
-    # Resolve all IP addresses for the hostname
-    try:
-        ip_addresses = {res[4][0] for res in socket.getaddrinfo(ascii_hostname, None)}
-    except socket.gaierror:
-        raise ValueError(f"Unable to resolve IP address for hostname {ascii_hostname}")
+    Returns:
+        pinned_url: The URL with hostname replaced with IP address
+    """
+    if not url.hostname:
+        raise ValueError(f"URL has no hostname: {url}")
 
     if not ip_addresses:
-        raise ValueError(f"No IP addresses found for {ascii_hostname}")
+        # Resolve all IP addresses for the hostname
+        # (This call is blocking; ensure to call async _resolve_host before if possible)
+        ip_addresses = []
+        # You may choose to raise or call synchronous resolve here; for simplicity, leave empty.
 
-    # Check if any resolved IP address falls into blocked ranges
-    for ip in ip_addresses:
-        if _is_ip_blocked(ip):
-            raise ValueError(
-                f"Access to private IP address {ip} for hostname {ascii_hostname} is not allowed."
-            )
+    # Pin to the first valid IP (for SSRF defense)
+    pinned_ip = ip_addresses[0]
+
+    # If it's IPv6, bracket it
+    if ":" in pinned_ip:
+        pinned_netloc = f"[{pinned_ip}]"
+    else:
+        pinned_netloc = pinned_ip
+
+    if url.port:
+        pinned_netloc += f":{url.port}"
+
+    return URL(
+        url.scheme,
+        pinned_netloc,
+        url.path,
+        url.params,
+        url.query,
+        url.fragment,
+    )
 
-    return url
+
+ClientResponse = aiohttp.ClientResponse
+ClientResponseError = aiohttp.ClientResponseError
+
+
+class Response:
+    """
+    Buffered wrapper around aiohttp.ClientResponse that does *not* require
+    callers to manage connection or session lifetimes.
+    """
+
+    def __init__(
+        self,
+        *,
+        response: ClientResponse,
+        url: str,
+        body: bytes,
+    ):
+        self.status: int = response.status
+        self.headers = response.headers
+        self.reason: str | None = response.reason
+        self.request_info = response.request_info
+        self.url: str = url
+        self.content: bytes = body  # raw bytes
+
+    def json(self, encoding: str | None = None, **kwargs) -> dict:
+        """
+        Parse the body as JSON and return the resulting Python object.
+        """
+        return json.loads(
+            self.content.decode(encoding or "utf-8", errors="replace"), **kwargs
+        )
+
+    def text(self, encoding: str | None = None) -> str:
+        """
+        Decode the body to a string.  Encoding is guessed from the
+        Content-Type header if not supplied.
+        """
+        if encoding is None:
+            # Try to extract charset from headers; fall back to UTF-8
+            ctype = self.headers.get("content-type", "")
+            match = re.search(r"charset=([^\s;]+)", ctype, flags=re.I)
+            encoding = match.group(1) if match else None
+        return self.content.decode(encoding or "utf-8", errors="replace")
+
+    @property
+    def ok(self) -> bool:
+        return 200 <= self.status < 300
 
 
 class Requests:
     """
-    A wrapper around the requests library that validates URLs before making requests.
+    A wrapper around an aiohttp ClientSession that validates URLs before
+    making requests, preventing SSRF by blocking private networks and
+    other disallowed address spaces.
     """
 
     def __init__(
         self,
         trusted_origins: list[str] | None = None,
         raise_for_status: bool = True,
-        extra_url_validator: Callable[[str], str] | None = None,
+        extra_url_validator: Callable[[URL], URL] | None = None,
         extra_headers: dict[str, str] | None = None,
+        retry_max_wait: float = 300.0,
     ):
         self.trusted_origins = []
         for url in trusted_origins or []:
@@ -124,50 +305,206 @@ def __init__(
         self.raise_for_status = raise_for_status
         self.extra_url_validator = extra_url_validator
         self.extra_headers = extra_headers
+        self.retry_max_wait = retry_max_wait
 
-    def request(
-        self, method, url, headers=None, allow_redirects=False, *args, **kwargs
-    ) -> req.Response:
-        if self.extra_headers is not None:
-            headers = {**(headers or {}), **self.extra_headers}
-
-        url = validate_url(url, self.trusted_origins)
-        if self.extra_url_validator is not None:
-            url = self.extra_url_validator(url)
-
-        response = req.request(
-            method,
-            url,
-            headers=headers,
-            allow_redirects=allow_redirects,
-            *args,
-            **kwargs,
+    async def request(
+        self,
+        method: str,
+        url: str,
+        *,
+        headers: Optional[dict] = None,
+        files: list[tuple[str, tuple[str, BytesIO, str]]] | None = None,
+        data: Any | None = None,
+        json: Any | None = None,
+        allow_redirects: bool = True,
+        max_redirects: int = 10,
+        **kwargs,
+    ) -> Response:
+        @retry(
+            wait=wait_exponential_jitter(max=self.retry_max_wait),
+            retry=retry_if_result(lambda r: r.status in THROTTLE_RETRY_STATUS_CODES),
+            reraise=True,
         )
-        if self.raise_for_status:
-            response.raise_for_status()
-
-        return response
-
-    def get(self, url, *args, **kwargs) -> req.Response:
-        return self.request("GET", url, *args, **kwargs)
-
-    def post(self, url, *args, **kwargs) -> req.Response:
-        return self.request("POST", url, *args, **kwargs)
-
-    def put(self, url, *args, **kwargs) -> req.Response:
-        return self.request("PUT", url, *args, **kwargs)
-
-    def delete(self, url, *args, **kwargs) -> req.Response:
-        return self.request("DELETE", url, *args, **kwargs)
-
-    def head(self, url, *args, **kwargs) -> req.Response:
-        return self.request("HEAD", url, *args, **kwargs)
-
-    def options(self, url, *args, **kwargs) -> req.Response:
-        return self.request("OPTIONS", url, *args, **kwargs)
+        async def _make_request() -> Response:
+            return await self._request(
+                method=method,
+                url=url,
+                headers=headers,
+                files=files,
+                data=data,
+                json=json,
+                allow_redirects=allow_redirects,
+                max_redirects=max_redirects,
+                **kwargs,
+            )
 
-    def patch(self, url, *args, **kwargs) -> req.Response:
-        return self.request("PATCH", url, *args, **kwargs)
+        return await _make_request()
 
+    async def _request(
+        self,
+        method: str,
+        url: str,
+        *,
+        headers: Optional[dict] = None,
+        files: list[tuple[str, tuple[str, BytesIO, str]]] | None = None,
+        data: Any | None = None,
+        json: Any | None = None,
+        allow_redirects: bool = True,
+        max_redirects: int = 10,
+        **kwargs,
+    ) -> Response:
+        # Convert auth tuple to aiohttp.BasicAuth if necessary
+        if "auth" in kwargs and isinstance(kwargs["auth"], tuple):
+            kwargs["auth"] = aiohttp.BasicAuth(*kwargs["auth"])
+
+        if files is not None:
+            if json is not None:
+                raise ValueError(
+                    "Cannot mix file uploads with JSON body; "
+                    "use 'data' for extra form fields instead."
+                )
+
+            form = FormData(quote_fields=False)
+            # add normal form fields first
+            if isinstance(data, dict):
+                for k, v in data.items():
+                    form.add_field(k, str(v))
+            elif data is not None:
+                raise ValueError(
+                    "When uploading files, 'data' must be a dict of form fields."
+                )
+
+            # add the file parts
+            for field_name, (filename, fh, content_type) in files:
+                form.add_field(
+                    name=field_name,
+                    value=fh,
+                    filename=filename,
+                    content_type=content_type or "application/octet-stream",
+                )
+
+            data = form
+
+        # Validate URL and get trust status
+        parsed_url, is_trusted, ip_addresses = await validate_url(
+            url, self.trusted_origins
+        )
 
-requests = Requests(trusted_origins=Config().trust_endpoints_for_requests)
+        # Apply any extra user-defined validation/transformation
+        if self.extra_url_validator is not None:
+            parsed_url = self.extra_url_validator(parsed_url)
+
+        # Pin the URL if untrusted
+        hostname = parsed_url.hostname
+        if hostname is None:
+            raise ValueError(f"Invalid URL: Unable to determine hostname of {url}")
+
+        original_url = parsed_url.geturl()
+        connector: Optional[aiohttp.TCPConnector] = None
+        if not is_trusted:
+            # Replace hostname with IP for connection but preserve SNI via resolver
+            resolver = HostResolver(ssl_hostname=hostname, ip_addresses=ip_addresses)
+            ssl_context = ssl.create_default_context()
+            connector = aiohttp.TCPConnector(resolver=resolver, ssl=ssl_context)
+        session_kwargs = {}
+        if connector:
+            session_kwargs["connector"] = connector
+
+        # Merge any extra headers
+        req_headers = dict(headers) if headers else {}
+        if self.extra_headers is not None:
+            req_headers.update(self.extra_headers)
+
+        # Override Host header if using IP connection
+        if connector:
+            req_headers["Host"] = hostname
+
+        # Override data if files are provided
+
+        async with aiohttp.ClientSession(**session_kwargs) as session:
+            # Perform the request with redirects disabled for manual handling
+            async with session.request(
+                method,
+                parsed_url.geturl(),
+                headers=req_headers,
+                allow_redirects=False,
+                data=data,
+                json=json,
+                **kwargs,
+            ) as response:
+
+                if self.raise_for_status:
+                    try:
+                        response.raise_for_status()
+                    except ClientResponseError as e:
+                        body = await response.read()
+                        raise Exception(
+                            f"HTTP {response.status} Error: {response.reason}, Body: {body.decode(errors='replace')}"
+                        ) from e
+
+                # If allowed and a redirect is received, follow the redirect manually
+                if allow_redirects and response.status in (301, 302, 303, 307, 308):
+                    if max_redirects <= 0:
+                        raise Exception("Too many redirects.")
+
+                    location = response.headers.get("Location")
+                    if not location:
+                        return Response(
+                            response=response,
+                            url=original_url,
+                            body=await response.read(),
+                        )
+
+                    # The base URL is the pinned_url we just used
+                    # so that relative redirects resolve correctly.
+                    redirect_url = urlparse(urljoin(parsed_url.geturl(), location))
+                    # Carry forward the same headers but update Host
+                    new_headers = _remove_insecure_headers(
+                        req_headers, parsed_url, redirect_url
+                    )
+
+                    return await self.request(
+                        method,
+                        redirect_url.geturl(),
+                        headers=new_headers,
+                        allow_redirects=allow_redirects,
+                        max_redirects=max_redirects - 1,
+                        files=files,
+                        data=data,
+                        json=json,
+                        **kwargs,
+                    )
+
+                # Reset response URL to original host for clarity
+                if parsed_url.hostname != hostname:
+                    try:
+                        response.url = original_url  # type: ignore
+                    except Exception:
+                        pass
+
+                return Response(
+                    response=response,
+                    url=original_url,
+                    body=await response.read(),
+                )
+
+    async def get(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("GET", url, *args, **kwargs)
+
+    async def post(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("POST", url, *args, **kwargs)
+
+    async def put(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("PUT", url, *args, **kwargs)
+
+    async def delete(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("DELETE", url, *args, **kwargs)
+
+    async def head(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("HEAD", url, *args, **kwargs)
+
+    async def options(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("OPTIONS", url, *args, **kwargs)
+
+    async def patch(self, url: str, *args, **kwargs) -> Response:
+        return await self.request("PATCH", url, *args, **kwargs)
diff --git a/autogpt_platform/backend/backend/util/request_test.py b/autogpt_platform/backend/backend/util/request_test.py
new file mode 100644
index 000000000000..57717ff77f21
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/request_test.py
@@ -0,0 +1,112 @@
+import pytest
+
+from backend.util.request import pin_url, validate_url
+
+
+@pytest.mark.parametrize(
+    "raw_url, trusted_origins, expected_value, should_raise",
+    [
+        # Rejected IP ranges
+        ("localhost", [], None, True),
+        ("192.168.1.1", [], None, True),
+        ("127.0.0.1", [], None, True),
+        ("0.0.0.0", [], None, True),
+        # Normal URLs (should default to http:// if no scheme provided)
+        ("google.com/a?b=c", [], "http://google.com/a?b=c", False),
+        ("github.com?key=!@!@", [], "http://github.com?key=!@!@", False),
+        # Scheme Enforcement
+        ("ftp://example.com", [], None, True),
+        ("file://example.com", [], None, True),
+        # International domain converting to punycode (allowed if public)
+        ("http://xn--exmple-cua.com", [], "http://xn--exmple-cua.com", False),
+        # Invalid domain (IDNA failure)
+        ("http://exa◌mple.com", [], None, True),
+        # IPv6 addresses (loopback/blocked)
+        ("::1", [], None, True),
+        ("http://[::1]", [], None, True),
+        # Suspicious Characters in Hostname
+        ("http://example_underscore.com", [], None, True),
+        ("http://exa mple.com", [], None, True),
+        # Malformed URLs
+        ("http://", [], None, True),  # No hostname
+        ("://missing-scheme", [], None, True),  # Missing proper scheme
+        # Trusted Origins
+        (
+            "internal-api.company.com",
+            ["internal-api.company.com", "10.0.0.5"],
+            "http://internal-api.company.com",
+            False,
+        ),
+        ("10.0.0.5", ["10.0.0.5"], "http://10.0.0.5", False),
+        # Special Characters in Path
+        (
+            "example.com/path%20with%20spaces",
+            [],
+            "http://example.com/path%20with%20spaces",
+            False,
+        ),
+        # Backslashes should be replaced with forward slashes
+        ("http://example.com\\backslash", [], "http://example.com/backslash", False),
+        # Check default-scheme behavior for valid domains
+        ("example.com", [], "http://example.com", False),
+        ("https://secure.com", [], "https://secure.com", False),
+        # Non-ASCII Characters in Query/Fragment
+        ("example.com?param=äöü", [], "http://example.com?param=äöü", False),
+    ],
+)
+async def test_validate_url_no_dns_rebinding(
+    raw_url: str, trusted_origins: list[str], expected_value: str, should_raise: bool
+):
+    if should_raise:
+        with pytest.raises(ValueError):
+            await validate_url(raw_url, trusted_origins)
+    else:
+        validated_url, _, _ = await validate_url(raw_url, trusted_origins)
+        assert validated_url.geturl() == expected_value
+
+
+@pytest.mark.parametrize(
+    "hostname, resolved_ips, expect_error, expected_ip",
+    [
+        # Multiple public IPs, none blocked
+        ("public-example.com", ["8.8.8.8", "9.9.9.9"], False, "8.8.8.8"),
+        # Includes a blocked IP (e.g. link-local 169.254.x.x) => should raise
+        ("rebinding.com", ["1.2.3.4", "169.254.169.254"], True, None),
+        # Single public IP
+        ("single-public.com", ["8.8.8.8"], False, "8.8.8.8"),
+        # Single blocked IP
+        ("blocked.com", ["127.0.0.1"], True, None),
+    ],
+)
+async def test_dns_rebinding_fix(
+    monkeypatch,
+    hostname: str,
+    resolved_ips: list[str],
+    expect_error: bool,
+    expected_ip: str,
+):
+    """
+    Tests that validate_url pins the first valid public IP address, and rejects
+    the domain if any of the resolved IPs are blocked (i.e., DNS Rebinding scenario).
+    """
+
+    def mock_getaddrinfo(host, port, *args, **kwargs):
+        # Simulate multiple IPs returned for the given hostname
+        return [(None, None, None, None, (ip, port)) for ip in resolved_ips]
+
+    # Patch socket.getaddrinfo so we control the DNS resolution in the test
+    monkeypatch.setattr("socket.getaddrinfo", mock_getaddrinfo)
+
+    if expect_error:
+        # If any IP is blocked, we expect a ValueError
+        with pytest.raises(ValueError):
+            url, _, ip_addresses = await validate_url(hostname, [])
+            pin_url(url, ip_addresses)
+    else:
+        url, _, ip_addresses = await validate_url(hostname, [])
+        pinned_url = pin_url(url, ip_addresses).geturl()
+        # The pinned_url should contain the first valid IP
+        assert pinned_url.startswith("http://") or pinned_url.startswith("https://")
+        assert expected_ip in pinned_url
+        # The unpinned URL's hostname should match our original IDNA encoded hostname
+        assert url.hostname == hostname
diff --git a/autogpt_platform/backend/backend/util/retry.py b/autogpt_platform/backend/backend/util/retry.py
index c1adab5caf26..c586281af9c2 100644
--- a/autogpt_platform/backend/backend/util/retry.py
+++ b/autogpt_platform/backend/backend/util/retry.py
@@ -2,16 +2,87 @@
 import logging
 import os
 import threading
+import time
 from functools import wraps
 from uuid import uuid4
 
-from tenacity import retry, stop_after_attempt, wait_exponential
+from tenacity import (
+    retry,
+    retry_if_not_exception_type,
+    stop_after_attempt,
+    wait_exponential_jitter,
+)
 
 from backend.util.process import get_service_name
 
 logger = logging.getLogger(__name__)
 
 
+def _create_retry_callback(context: str = ""):
+    """Create a retry callback with optional context."""
+
+    def callback(retry_state):
+        attempt_number = retry_state.attempt_number
+        exception = retry_state.outcome.exception()
+        func_name = getattr(retry_state.fn, "__name__", "unknown")
+
+        prefix = f"{context}: " if context else ""
+
+        if retry_state.outcome.failed and retry_state.next_action is None:
+            # Final failure
+            logger.error(
+                f"{prefix}Giving up after {attempt_number} attempts for '{func_name}': "
+                f"{type(exception).__name__}: {exception}"
+            )
+        else:
+            # Retry attempt
+            logger.warning(
+                f"{prefix}Retry attempt {attempt_number} for '{func_name}': "
+                f"{type(exception).__name__}: {exception}"
+            )
+
+    return callback
+
+
+def create_retry_decorator(
+    max_attempts: int = 5,
+    exclude_exceptions: tuple[type[BaseException], ...] = (),
+    max_wait: float = 30.0,
+    context: str = "",
+    reraise: bool = True,
+):
+    """
+    Create a preconfigured retry decorator with sensible defaults.
+
+    Uses exponential backoff with jitter by default.
+
+    Args:
+        max_attempts: Maximum number of attempts (default: 5)
+        exclude_exceptions: Tuple of exception types to not retry on
+        max_wait: Maximum wait time in seconds (default: 30)
+        context: Optional context string for log messages
+        reraise: Whether to reraise the final exception (default: True)
+
+    Returns:
+        Configured retry decorator
+    """
+    if exclude_exceptions:
+        return retry(
+            stop=stop_after_attempt(max_attempts),
+            wait=wait_exponential_jitter(max=max_wait),
+            before_sleep=_create_retry_callback(context),
+            reraise=reraise,
+            retry=retry_if_not_exception_type(exclude_exceptions),
+        )
+    else:
+        return retry(
+            stop=stop_after_attempt(max_attempts),
+            wait=wait_exponential_jitter(max=max_wait),
+            before_sleep=_create_retry_callback(context),
+            reraise=reraise,
+        )
+
+
 def _log_prefix(resource_name: str, conn_id: str):
     """
     Returns a prefix string for logging purposes.
@@ -25,8 +96,6 @@ def conn_retry(
     resource_name: str,
     action_name: str,
     max_retry: int = 5,
-    multiplier: int = 1,
-    min_wait: float = 1,
     max_wait: float = 30,
 ):
     conn_id = str(uuid4())
@@ -34,13 +103,20 @@ def conn_retry(
     def on_retry(retry_state):
         prefix = _log_prefix(resource_name, conn_id)
         exception = retry_state.outcome.exception()
-        logger.error(f"{prefix} {action_name} failed: {exception}. Retrying now...")
+
+        if retry_state.outcome.failed and retry_state.next_action is None:
+            logger.error(f"{prefix} {action_name} failed after retries: {exception}")
+        else:
+            logger.warning(
+                f"{prefix} {action_name} failed: {exception}. Retrying now..."
+            )
 
     def decorator(func):
         is_coroutine = asyncio.iscoroutinefunction(func)
+        # Use static retry configuration
         retry_decorator = retry(
-            stop=stop_after_attempt(max_retry + 1),
-            wait=wait_exponential(multiplier=multiplier, min=min_wait, max=max_wait),
+            stop=stop_after_attempt(max_retry + 1),  # +1 for the initial attempt
+            wait=wait_exponential_jitter(max=max_wait),
             before_sleep=on_retry,
             reraise=True,
         )
@@ -73,3 +149,58 @@ async def async_wrapper(*args, **kwargs):
         return async_wrapper if is_coroutine else sync_wrapper
 
     return decorator
+
+
+# Preconfigured retry decorator for general functions
+func_retry = create_retry_decorator(max_attempts=5)
+
+
+def continuous_retry(*, retry_delay: float = 1.0):
+    def decorator(func):
+        is_coroutine = asyncio.iscoroutinefunction(func)
+
+        @wraps(func)
+        def sync_wrapper(*args, **kwargs):
+            counter = 0
+            while True:
+                try:
+                    return func(*args, **kwargs)
+                except Exception as exc:
+                    counter += 1
+                    if counter % 10 == 0:
+                        log = logger.exception
+                    else:
+                        log = logger.warning
+                    log(
+                        "%s failed for the %s times, error: [%s] — retrying in %.2fs",
+                        func.__name__,
+                        counter,
+                        str(exc) or type(exc).__name__,
+                        retry_delay,
+                    )
+                    time.sleep(retry_delay)
+
+        @wraps(func)
+        async def async_wrapper(*args, **kwargs):
+            while True:
+                counter = 0
+                try:
+                    return await func(*args, **kwargs)
+                except Exception as exc:
+                    counter += 1
+                    if counter % 10 == 0:
+                        log = logger.exception
+                    else:
+                        log = logger.warning
+                    log(
+                        "%s failed for the %s times, error: [%s] — retrying in %.2fs",
+                        func.__name__,
+                        counter,
+                        str(exc) or type(exc).__name__,
+                        retry_delay,
+                    )
+                    await asyncio.sleep(retry_delay)
+
+        return async_wrapper if is_coroutine else sync_wrapper
+
+    return decorator
diff --git a/autogpt_platform/backend/backend/util/retry_test.py b/autogpt_platform/backend/backend/util/retry_test.py
new file mode 100644
index 000000000000..29b6a192aa93
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/retry_test.py
@@ -0,0 +1,49 @@
+import asyncio
+
+import pytest
+
+from backend.util.retry import conn_retry
+
+
+def test_conn_retry_sync_function():
+    retry_count = 0
+
+    @conn_retry("Test", "Test function", max_retry=2, max_wait=0.1)
+    def test_function():
+        nonlocal retry_count
+        retry_count -= 1
+        if retry_count > 0:
+            raise ValueError("Test error")
+        return "Success"
+
+    retry_count = 2
+    res = test_function()
+    assert res == "Success"
+
+    retry_count = 100
+    with pytest.raises(ValueError) as e:
+        test_function()
+        assert str(e.value) == "Test error"
+
+
+@pytest.mark.asyncio
+async def test_conn_retry_async_function():
+    retry_count = 0
+
+    @conn_retry("Test", "Test function", max_retry=2, max_wait=0.1)
+    async def test_function():
+        nonlocal retry_count
+        await asyncio.sleep(1)
+        retry_count -= 1
+        if retry_count > 0:
+            raise ValueError("Test error")
+        return "Success"
+
+    retry_count = 2
+    res = await test_function()
+    assert res == "Success"
+
+    retry_count = 100
+    with pytest.raises(ValueError) as e:
+        await test_function()
+        assert str(e.value) == "Test error"
diff --git a/autogpt_platform/backend/backend/util/service.py b/autogpt_platform/backend/backend/util/service.py
index dffd8e37a8a0..97ff054fbf11 100644
--- a/autogpt_platform/backend/backend/util/service.py
+++ b/autogpt_platform/backend/backend/util/service.py
@@ -1,122 +1,93 @@
 import asyncio
-import builtins
+import concurrent
+import concurrent.futures
+import inspect
 import logging
 import os
 import threading
 import time
-import typing
 from abc import ABC, abstractmethod
-from enum import Enum
-from types import NoneType, UnionType
+from functools import cached_property, update_wrapper
 from typing import (
-    Annotated,
     Any,
     Awaitable,
     Callable,
+    Concatenate,
     Coroutine,
-    Dict,
-    FrozenSet,
-    Iterator,
-    List,
-    Set,
+    Optional,
+    ParamSpec,
     Tuple,
     Type,
     TypeVar,
-    Union,
     cast,
-    get_args,
-    get_origin,
 )
 
-import Pyro5.api
-from pydantic import BaseModel
-from Pyro5 import api as pyro
-from Pyro5 import config as pyro_config
+import httpx
+import uvicorn
+from fastapi import FastAPI, Request, responses
+from pydantic import BaseModel, TypeAdapter, create_model
 
-from backend.data import db, redis
-from backend.util.process import AppProcess
-from backend.util.retry import conn_retry
-from backend.util.settings import Config, Secrets
+import backend.util.exceptions as exceptions
+from backend.util.json import to_dict
+from backend.util.metrics import sentry_init
+from backend.util.process import AppProcess, get_service_name
+from backend.util.retry import conn_retry, create_retry_decorator
+from backend.util.settings import Config
 
 logger = logging.getLogger(__name__)
 T = TypeVar("T")
 C = TypeVar("C", bound=Callable)
 
 config = Config()
-pyro_host = config.pyro_host
-pyro_config.MAX_RETRIES = config.pyro_client_comm_retry  # type: ignore
-pyro_config.COMMTIMEOUT = config.pyro_client_comm_timeout  # type: ignore
+api_host = config.pyro_host
+api_comm_retry = config.pyro_client_comm_retry
+api_comm_timeout = config.pyro_client_comm_timeout
+api_call_timeout = config.rpc_client_call_timeout
 
 
-def expose(func: C) -> C:
+def _validate_no_prisma_objects(obj: Any, path: str = "result") -> None:
     """
-    Decorator to mark a method or class to be exposed for remote calls.
-
-    ## ⚠️ Gotcha
-    Aside from "simple" types, only Pydantic models are passed unscathed *if annotated*.
-    Any other passed or returned class objects are converted to dictionaries by Pyro.
+    Recursively validate that no Prisma objects are being returned from service methods.
+    This enforces proper separation of layers - only application models should cross service boundaries.
     """
-
-    def wrapper(*args, **kwargs):
-        try:
-            return func(*args, **kwargs)
-        except Exception as e:
-            msg = f"Error in {func.__name__}: {e.__str__()}"
-            logger.exception(msg)
-            raise
-
-    register_pydantic_serializers(func)
-
-    return pyro.expose(wrapper)  # type: ignore
-
-
-def register_pydantic_serializers(func: Callable):
-    """Register custom serializers and deserializers for annotated Pydantic models"""
-    for name, annotation in func.__annotations__.items():
-        try:
-            pydantic_types = _pydantic_models_from_type_annotation(annotation)
-        except Exception as e:
-            raise TypeError(f"Error while exposing {func.__name__}: {e.__str__()}")
-
-        for model in pydantic_types:
-            logger.debug(
-                f"Registering Pyro (de)serializers for {func.__name__} annotation "
-                f"'{name}': {model.__qualname__}"
-            )
-            pyro.register_class_to_dict(model, _make_custom_serializer(model))
-            pyro.register_dict_to_class(
-                model.__qualname__, _make_custom_deserializer(model)
+    if obj is None:
+        return
+
+    # Check if it's a Prisma model object
+    if hasattr(obj, "__class__") and hasattr(obj.__class__, "__module__"):
+        module_name = obj.__class__.__module__
+        if module_name and "prisma.models" in module_name:
+            raise ValueError(
+                f"Prisma object {obj.__class__.__name__} found in {path}. "
+                "Service methods must return application models, not Prisma objects. "
+                f"Use {obj.__class__.__name__}.from_db() to convert to application model."
             )
 
+    # Recursively check collections
+    if isinstance(obj, (list, tuple)):
+        for i, item in enumerate(obj):
+            _validate_no_prisma_objects(item, f"{path}[{i}]")
+    elif isinstance(obj, dict):
+        for key, value in obj.items():
+            _validate_no_prisma_objects(value, f"{path}['{key}']")
 
-def _make_custom_serializer(model: Type[BaseModel]):
-    def custom_class_to_dict(obj):
-        data = {
-            "__class__": obj.__class__.__qualname__,
-            **obj.model_dump(),
-        }
-        logger.debug(f"Serializing {obj.__class__.__qualname__} with data: {data}")
-        return data
 
-    return custom_class_to_dict
+P = ParamSpec("P")
+R = TypeVar("R")
+EXPOSED_FLAG = "__exposed__"
 
 
-def _make_custom_deserializer(model: Type[BaseModel]):
-    def custom_dict_to_class(qualname, data: dict):
-        logger.debug(f"Deserializing {model.__qualname__} from data: {data}")
-        return model(**data)
-
-    return custom_dict_to_class
+def expose(func: C) -> C:
+    func = getattr(func, "__func__", func)
+    setattr(func, EXPOSED_FLAG, True)
+    return func
 
 
-class AppService(AppProcess, ABC):
+# --------------------------------------------------
+# AppService for IPC service based on HTTP request through FastAPI
+# --------------------------------------------------
+class BaseAppService(AppProcess, ABC):
     shared_event_loop: asyncio.AbstractEventLoop
-    use_db: bool = False
-    use_redis: bool = False
-    use_supabase: bool = False
-
-    def __init__(self):
-        self.uri = None
 
     @classmethod
     @abstractmethod
@@ -125,152 +96,514 @@ def get_port(cls) -> int:
 
     @classmethod
     def get_host(cls) -> str:
-        return os.environ.get(f"{cls.service_name.upper()}_HOST", config.pyro_host)
+        source_host = os.environ.get(f"{get_service_name().upper()}_HOST", api_host)
+        target_host = os.environ.get(f"{cls.__name__.upper()}_HOST", api_host)
+
+        if source_host == target_host and source_host != api_host:
+            logger.warning(
+                f"Service {cls.__name__} is the same host as the source service."
+                f"Use the localhost of {api_host} instead."
+            )
+            return api_host
+
+        return target_host
 
     def run_service(self) -> None:
         while True:
             time.sleep(10)
 
-    def __run_async(self, coro: Coroutine[Any, Any, T]):
-        return asyncio.run_coroutine_threadsafe(coro, self.shared_event_loop)
-
     def run_and_wait(self, coro: Coroutine[Any, Any, T]) -> T:
-        future = self.__run_async(coro)
-        return future.result()
+        return asyncio.run_coroutine_threadsafe(coro, self.shared_event_loop).result()
 
     def run(self):
         self.shared_event_loop = asyncio.get_event_loop()
-        if self.use_db:
-            self.shared_event_loop.run_until_complete(db.connect())
-        if self.use_redis:
-            redis.connect()
-        if self.use_supabase:
-            from supabase import create_client
-
-            secrets = Secrets()
-            self.supabase = create_client(
-                secrets.supabase_url, secrets.supabase_service_role_key
+
+
+class RemoteCallError(BaseModel):
+    type: str = "RemoteCallError"
+    args: Optional[Tuple[Any, ...]] = None
+
+
+class UnhealthyServiceError(ValueError):
+    def __init__(
+        self, message: str = "Service is unhealthy or not ready", log: bool = True
+    ):
+        msg = f"[{get_service_name()}] - {message}"
+        super().__init__(msg)
+        self.message = msg
+        if log:
+            logger.error(self.message)
+
+    def __str__(self):
+        return self.message
+
+
+class HTTPClientError(Exception):
+    """Exception for HTTP client errors (4xx status codes) that should not be retried."""
+
+    def __init__(self, status_code: int, message: str):
+        self.status_code = status_code
+        super().__init__(f"HTTP {status_code}: {message}")
+
+
+class HTTPServerError(Exception):
+    """Exception for HTTP server errors (5xx status codes) that can be retried."""
+
+    def __init__(self, status_code: int, message: str):
+        self.status_code = status_code
+        super().__init__(f"HTTP {status_code}: {message}")
+
+
+EXCEPTION_MAPPING = {
+    e.__name__: e
+    for e in [
+        ValueError,
+        RuntimeError,
+        TimeoutError,
+        ConnectionError,
+        UnhealthyServiceError,
+        HTTPClientError,
+        HTTPServerError,
+        *[
+            ErrorType
+            for _, ErrorType in inspect.getmembers(exceptions)
+            if inspect.isclass(ErrorType)
+            and issubclass(ErrorType, Exception)
+            and ErrorType.__module__ == exceptions.__name__
+        ],
+    ]
+}
+
+
+class AppService(BaseAppService, ABC):
+    fastapi_app: FastAPI
+    log_level: str = "info"
+
+    def set_log_level(self, log_level: str):
+        """Set the uvicorn log level. Returns self for chaining."""
+        self.log_level = log_level
+        return self
+
+    @staticmethod
+    def _handle_internal_http_error(status_code: int = 500, log_error: bool = True):
+        def handler(request: Request, exc: Exception):
+            if log_error:
+                if status_code == 500:
+                    log = logger.exception
+                else:
+                    log = logger.error
+                log(f"{request.method} {request.url.path} failed: {exc}")
+            return responses.JSONResponse(
+                status_code=status_code,
+                content=RemoteCallError(
+                    type=str(exc.__class__.__name__),
+                    args=exc.args or (str(exc),),
+                ).model_dump(),
             )
 
-        # Initialize the async loop.
-        async_thread = threading.Thread(target=self.__start_async_loop)
-        async_thread.daemon = True
-        async_thread.start()
+        return handler
 
-        # Initialize pyro service
-        daemon_thread = threading.Thread(target=self.__start_pyro)
-        daemon_thread.daemon = True
-        daemon_thread.start()
+    def _create_fastapi_endpoint(self, func: Callable) -> Callable:
+        """
+        Generates a FastAPI endpoint for the given function, handling default and optional parameters.
 
-        # Run the main service (if it's not implemented, just sleep).
-        self.run_service()
+        :param func: The original function (sync/async, bound or unbound)
+        :return: A FastAPI endpoint function.
+        """
+        sig = inspect.signature(func)
+        fields = {}
+
+        is_bound_method = False
+        for name, param in sig.parameters.items():
+            if name in ("self", "cls"):
+                is_bound_method = True
+                continue
+
+            # Use the provided annotation or fallback to str if not specified
+            annotation = (
+                param.annotation if param.annotation != inspect.Parameter.empty else str
+            )
+
+            # If a default value is provided, use it; otherwise, mark the field as required with '...'
+            default = param.default if param.default != inspect.Parameter.empty else ...
 
-    def cleanup(self):
-        if self.use_db:
-            logger.info(f"[{self.__class__.__name__}] ⏳ Disconnecting DB...")
-            self.run_and_wait(db.disconnect())
-        if self.use_redis:
-            logger.info(f"[{self.__class__.__name__}] ⏳ Disconnecting Redis...")
-            redis.disconnect()
-
-    @conn_retry("Pyro", "Starting Pyro Service")
-    def __start_pyro(self):
-        maximum_connection_thread_count = max(
-            Pyro5.config.THREADPOOL_SIZE,
-            config.num_node_workers * config.num_graph_workers,
+            fields[name] = (annotation, default)
+
+        # Dynamically create a Pydantic model for the request body
+        RequestBodyModel = create_model("RequestBodyModel", **fields)
+        f = func.__get__(self) if is_bound_method else func
+
+        if asyncio.iscoroutinefunction(f):
+
+            async def async_endpoint(body: RequestBodyModel):  # type: ignore #RequestBodyModel being variable
+                result = await f(
+                    **{name: getattr(body, name) for name in type(body).model_fields}
+                )
+                _validate_no_prisma_objects(result, f"{func.__name__} result")
+                return result
+
+            return async_endpoint
+        else:
+
+            def sync_endpoint(body: RequestBodyModel):  # type: ignore #RequestBodyModel being variable
+                result = f(
+                    **{name: getattr(body, name) for name in type(body).model_fields}
+                )
+                _validate_no_prisma_objects(result, f"{func.__name__} result")
+                return result
+
+            return sync_endpoint
+
+    @conn_retry("FastAPI server", "Starting FastAPI server")
+    def __start_fastapi(self):
+        logger.info(
+            f"[{self.service_name}] Starting RPC server at http://{api_host}:{self.get_port()}"
         )
 
-        Pyro5.config.THREADPOOL_SIZE = maximum_connection_thread_count  # type: ignore
-        daemon = Pyro5.api.Daemon(host=config.pyro_host, port=self.get_port())
-        self.uri = daemon.register(self, objectId=self.service_name)
-        logger.info(f"[{self.service_name}] Connected to Pyro; URI = {self.uri}")
-        daemon.requestLoop()
+        server = uvicorn.Server(
+            uvicorn.Config(
+                self.fastapi_app,
+                host=api_host,
+                port=self.get_port(),
+                log_config=None,  # Explicitly None to avoid uvicorn replacing the logger.
+                log_level=self.log_level,
+            )
+        )
+        self.shared_event_loop.run_until_complete(server.serve())
 
-    def __start_async_loop(self):
-        self.shared_event_loop.run_forever()
+    async def health_check(self) -> str:
+        """
+        A method to check the health of the process.
+        """
+        return "OK"
 
+    def run(self):
+        sentry_init()
+        super().run()
+        self.fastapi_app = FastAPI()
+
+        # Register the exposed API routes.
+        for attr_name, attr in vars(type(self)).items():
+            if getattr(attr, EXPOSED_FLAG, False):
+                route_path = f"/{attr_name}"
+                self.fastapi_app.add_api_route(
+                    route_path,
+                    self._create_fastapi_endpoint(attr),
+                    methods=["POST"],
+                )
+        self.fastapi_app.add_api_route(
+            "/health_check", self.health_check, methods=["POST", "GET"]
+        )
+        self.fastapi_app.add_api_route(
+            "/health_check_async", self.health_check, methods=["POST", "GET"]
+        )
+        self.fastapi_app.add_exception_handler(
+            ValueError, self._handle_internal_http_error(400)
+        )
+        self.fastapi_app.add_exception_handler(
+            Exception, self._handle_internal_http_error(500)
+        )
+
+        # Start the FastAPI server in a separate thread.
+        api_thread = threading.Thread(target=self.__start_fastapi, daemon=True)
+        api_thread.start()
 
-# --------- UTILITIES --------- #
+        # Run the main service loop (blocking).
+        self.run_service()
 
 
+# --------------------------------------------------
+# HTTP Client utilities for dynamic service client abstraction
+# --------------------------------------------------
 AS = TypeVar("AS", bound=AppService)
 
 
-class PyroClient:
-    proxy: Pyro5.api.Proxy
+class AppServiceClient(ABC):
+    @classmethod
+    @abstractmethod
+    def get_service_type(cls) -> Type[AppService]:
+        pass
+
+    def health_check(self):
+        pass
 
+    async def health_check_async(self):
+        pass
 
-def close_service_client(client: AppService) -> None:
-    if isinstance(client, PyroClient):
-        client.proxy._pyroRelease()
-    else:
-        raise RuntimeError(f"Client {client.__class__} is not a Pyro client.")
+    def close(self):
+        pass
 
 
-def get_service_client(service_type: Type[AS]) -> AS:
-    service_name = service_type.service_name
+ASC = TypeVar("ASC", bound=AppServiceClient)
+
+
+@conn_retry("AppService client", "Creating service client", max_retry=api_comm_retry)
+def get_service_client(
+    service_client_type: Type[ASC],
+    call_timeout: int | None = api_call_timeout,
+    request_retry: bool = False,
+) -> ASC:
+
+    def _maybe_retry(fn: Callable[..., R]) -> Callable[..., R]:
+        """Decorate *fn* with tenacity retry when enabled."""
+        if not request_retry:
+            return fn
+
+        # Use preconfigured retry decorator for service communication
+        return create_retry_decorator(
+            max_attempts=api_comm_retry,
+            max_wait=5.0,
+            context="Service communication",
+            exclude_exceptions=(
+                # Don't retry these specific exceptions that won't be fixed by retrying
+                ValueError,  # Invalid input/parameters
+                KeyError,  # Missing required data
+                TypeError,  # Wrong data types
+                AttributeError,  # Missing attributes
+                asyncio.CancelledError,  # Task was cancelled
+                concurrent.futures.CancelledError,  # Future was cancelled
+                HTTPClientError,  # HTTP 4xx client errors - don't retry
+            ),
+        )(fn)
+
+    class DynamicClient:
+        def __init__(self) -> None:
+            service_type = service_client_type.get_service_type()
+            host = service_type.get_host()
+            port = service_type.get_port()
+            self.base_url = f"http://{host}:{port}".rstrip("/")
+            self._connection_failure_count = 0
+            self._last_client_reset = 0
+
+        def _create_sync_client(self) -> httpx.Client:
+            return httpx.Client(
+                base_url=self.base_url,
+                timeout=call_timeout,
+                limits=httpx.Limits(
+                    max_keepalive_connections=200,  # 10x default for async concurrent calls
+                    max_connections=500,  # High limit for burst handling
+                    keepalive_expiry=30.0,  # Keep connections alive longer
+                ),
+            )
 
-    class DynamicClient(PyroClient):
-        @conn_retry("Pyro", f"Connecting to [{service_name}]")
-        def __init__(self):
-            host = os.environ.get(f"{service_name.upper()}_HOST", pyro_host)
-            uri = f"PYRO:{service_type.service_name}@{host}:{service_type.get_port()}"
-            logger.debug(f"Connecting to service [{service_name}]. URI = {uri}")
-            self.proxy = Pyro5.api.Proxy(uri)
-            # Attempt to bind to ensure the connection is established
-            self.proxy._pyroBind()
-            logger.debug(f"Successfully connected to service [{service_name}]")
+        def _create_async_client(self) -> httpx.AsyncClient:
+            return httpx.AsyncClient(
+                base_url=self.base_url,
+                timeout=call_timeout,
+                limits=httpx.Limits(
+                    max_keepalive_connections=200,  # 10x default for async concurrent calls
+                    max_connections=500,  # High limit for burst handling
+                    keepalive_expiry=30.0,  # Keep connections alive longer
+                ),
+            )
+
+        @cached_property
+        def sync_client(self) -> httpx.Client:
+            return self._create_sync_client()
+
+        @cached_property
+        def async_client(self) -> httpx.AsyncClient:
+            return self._create_async_client()
+
+        def _handle_connection_error(self, error: Exception) -> None:
+            """Handle connection errors and implement self-healing"""
+            self._connection_failure_count += 1
+            current_time = time.time()
+
+            # If we've had 3+ failures, and it's been more than 30 seconds since last reset
+            if (
+                self._connection_failure_count >= 3
+                and current_time - self._last_client_reset > 30
+            ):
+
+                logger.warning(
+                    f"Connection failures detected ({self._connection_failure_count}), recreating HTTP clients"
+                )
+
+                # Clear cached clients to force recreation on next access
+                # Only recreate when there's actually a problem
+                if hasattr(self, "sync_client"):
+                    delattr(self, "sync_client")
+                if hasattr(self, "async_client"):
+                    delattr(self, "async_client")
+
+                # Reset counters
+                self._connection_failure_count = 0
+                self._last_client_reset = current_time
+
+        def _handle_call_method_response(
+            self, *, response: httpx.Response, method_name: str
+        ) -> Any:
+            try:
+                response.raise_for_status()
+                # Reset failure count on successful response
+                self._connection_failure_count = 0
+                return response.json()
+            except httpx.HTTPStatusError as e:
+                status_code = e.response.status_code
+
+                # Try to parse the error response as RemoteCallError for mapped exceptions
+                error_response = None
+                try:
+                    error_response = RemoteCallError.model_validate(e.response.json())
+                except Exception:
+                    pass
+
+                # If we successfully parsed a mapped exception type, re-raise it
+                if error_response and error_response.type in EXCEPTION_MAPPING:
+                    exception_class = EXCEPTION_MAPPING[error_response.type]
+                    args = error_response.args or [str(e)]
+                    raise exception_class(*args)
+
+                # Otherwise categorize by HTTP status code
+                if 400 <= status_code < 500:
+                    # Client errors (4xx) - wrap to prevent retries
+                    raise HTTPClientError(status_code, str(e))
+                elif 500 <= status_code < 600:
+                    # Server errors (5xx) - wrap but allow retries
+                    raise HTTPServerError(status_code, str(e))
+                else:
+                    # Other status codes (1xx, 2xx, 3xx) - re-raise original error
+                    raise e
+
+        @_maybe_retry
+        def _call_method_sync(self, method_name: str, **kwargs: Any) -> Any:
+            try:
+                return self._handle_call_method_response(
+                    method_name=method_name,
+                    response=self.sync_client.post(method_name, json=to_dict(kwargs)),
+                )
+            except (httpx.ConnectError, httpx.ConnectTimeout) as e:
+                self._handle_connection_error(e)
+                raise
+
+        @_maybe_retry
+        async def _call_method_async(self, method_name: str, **kwargs: Any) -> Any:
+            try:
+                return self._handle_call_method_response(
+                    method_name=method_name,
+                    response=await self.async_client.post(
+                        method_name, json=to_dict(kwargs)
+                    ),
+                )
+            except (httpx.ConnectError, httpx.ConnectTimeout) as e:
+                self._handle_connection_error(e)
+                raise
+
+        async def aclose(self) -> None:
+            if hasattr(self, "sync_client"):
+                self.sync_client.close()
+            if hasattr(self, "async_client"):
+                await self.async_client.aclose()
+
+        def close(self) -> None:
+            if hasattr(self, "sync_client"):
+                self.sync_client.close()
+            # Note: Cannot close async client synchronously
+
+        def __del__(self):
+            """Cleanup HTTP clients on garbage collection to prevent resource leaks."""
+            try:
+                if hasattr(self, "sync_client"):
+                    self.sync_client.close()
+                if hasattr(self, "async_client"):
+                    # Note: Can't await in __del__, so we just close sync
+                    # The async client will be cleaned up by garbage collection
+                    import warnings
+
+                    warnings.warn(
+                        "DynamicClient async client not explicitly closed. "
+                        "Call aclose() before destroying the client.",
+                        ResourceWarning,
+                        stacklevel=2,
+                    )
+            except Exception:
+                # Silently ignore cleanup errors in __del__
+                pass
+
+        async def __aenter__(self):
+            """Async context manager entry."""
+            return self
+
+        async def __aexit__(self, exc_type, exc_val, exc_tb):
+            """Async context manager exit."""
+            await self.aclose()
+
+        def _get_params(
+            self, signature: inspect.Signature, *args: Any, **kwargs: Any
+        ) -> dict[str, Any]:
+            if args:
+                arg_names = list(signature.parameters.keys())
+                if arg_names and arg_names[0] in ("self", "cls"):
+                    arg_names = arg_names[1:]
+                kwargs.update(dict(zip(arg_names, args)))
+            return kwargs
+
+        def _get_return(self, expected_return: TypeAdapter | None, result: Any) -> Any:
+            if expected_return:
+                return expected_return.validate_python(result)
+            return result
 
         def __getattr__(self, name: str) -> Callable[..., Any]:
-            res = getattr(self.proxy, name)
-            return res
+            original_func = getattr(service_client_type, name, None)
+            if original_func is None:
+                raise AttributeError(
+                    f"Method {name} not found in {service_client_type}"
+                )
+
+            rpc_name = original_func.__name__
+            sig = inspect.signature(original_func)
+            ret_ann = sig.return_annotation
+            expected_return = (
+                None if ret_ann is inspect.Signature.empty else TypeAdapter(ret_ann)
+            )
 
-    return cast(AS, DynamicClient())
+            if inspect.iscoroutinefunction(original_func):
 
+                async def async_method(*args: P.args, **kwargs: P.kwargs):
+                    params = self._get_params(sig, *args, **kwargs)
+                    result = await self._call_method_async(rpc_name, **params)
+                    return self._get_return(expected_return, result)
 
-builtin_types = [*vars(builtins).values(), NoneType, Enum]
+                return async_method
 
+            else:
 
-def _pydantic_models_from_type_annotation(annotation) -> Iterator[type[BaseModel]]:
-    # Peel Annotated parameters
-    if (origin := get_origin(annotation)) and origin is Annotated:
-        annotation = get_args(annotation)[0]
+                def sync_method(*args: P.args, **kwargs: P.kwargs):
+                    params = self._get_params(sig, *args, **kwargs)
+                    result = self._call_method_sync(rpc_name, **params)
+                    return self._get_return(expected_return, result)
 
-    origin = get_origin(annotation)
-    args = get_args(annotation)
+                return sync_method
 
-    if origin in (
-        Union,
-        UnionType,
-        list,
-        List,
-        tuple,
-        Tuple,
-        set,
-        Set,
-        frozenset,
-        FrozenSet,
-    ):
-        for arg in args:
-            yield from _pydantic_models_from_type_annotation(arg)
-    elif origin in (dict, Dict):
-        key_type, value_type = args
-        yield from _pydantic_models_from_type_annotation(key_type)
-        yield from _pydantic_models_from_type_annotation(value_type)
-    elif origin in (Awaitable, Coroutine):
-        # For coroutines and awaitables, check the return type
-        return_type = args[-1]
-        yield from _pydantic_models_from_type_annotation(return_type)
-    else:
-        annotype = annotation if origin is None else origin
-
-        # Exclude generic types and aliases
-        if (
-            annotype is not None
-            and not hasattr(typing, getattr(annotype, "__name__", ""))
-            and isinstance(annotype, type)
-        ):
-            if issubclass(annotype, BaseModel):
-                yield annotype
-            elif annotype not in builtin_types and not issubclass(annotype, Enum):
-                raise TypeError(f"Unsupported type encountered: {annotype}")
+    client = cast(ASC, DynamicClient())
+
+    return client
+
+
+def endpoint_to_sync(
+    func: Callable[Concatenate[Any, P], Awaitable[R]],
+) -> Callable[Concatenate[Any, P], R]:
+    """
+    Produce a *typed* stub that **looks** synchronous to the type‑checker.
+    """
+
+    def _stub(*args: P.args, **kwargs: P.kwargs) -> R:  # pragma: no cover
+        raise RuntimeError("should be intercepted by __getattr__")
+
+    update_wrapper(_stub, func)
+    return cast(Callable[Concatenate[Any, P], R], _stub)
+
+
+def endpoint_to_async(
+    func: Callable[Concatenate[Any, P], R],
+) -> Callable[Concatenate[Any, P], Awaitable[R]]:
+    """
+    The async mirror of `to_sync`.
+    """
+
+    async def _stub(*args: P.args, **kwargs: P.kwargs) -> R:  # pragma: no cover
+        raise RuntimeError("should be intercepted by __getattr__")
+
+    update_wrapper(_stub, func)
+    return cast(Callable[Concatenate[Any, P], Awaitable[R]], _stub)
diff --git a/autogpt_platform/backend/backend/util/service_test.py b/autogpt_platform/backend/backend/util/service_test.py
new file mode 100644
index 000000000000..1683c642208b
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/service_test.py
@@ -0,0 +1,492 @@
+import time
+from functools import cached_property
+from unittest.mock import Mock
+
+import httpx
+import pytest
+
+from backend.util.service import (
+    AppService,
+    AppServiceClient,
+    HTTPClientError,
+    HTTPServerError,
+    endpoint_to_async,
+    expose,
+    get_service_client,
+)
+
+TEST_SERVICE_PORT = 8765
+
+
+def wait_for_service_ready(service_client_type, timeout_seconds=30):
+    """Helper method to wait for a service to be ready using health check with retry."""
+    client = get_service_client(service_client_type, request_retry=True)
+    client.health_check()  # This will retry until service is ready
+
+
+class ServiceTest(AppService):
+    def __init__(self):
+        super().__init__()
+        self.fail_count = 0
+
+    def cleanup(self):
+        pass
+
+    @classmethod
+    def get_port(cls) -> int:
+        return TEST_SERVICE_PORT
+
+    def __enter__(self):
+        # Start the service
+        result = super().__enter__()
+
+        # Wait for the service to be ready
+        wait_for_service_ready(ServiceTestClient)
+
+        return result
+
+    @expose
+    def add(self, a: int, b: int) -> int:
+        return a + b
+
+    @expose
+    def subtract(self, a: int, b: int) -> int:
+        return a - b
+
+    @expose
+    def fun_with_async(self, a: int, b: int) -> int:
+        async def add_async(a: int, b: int) -> int:
+            return a + b
+
+        return self.run_and_wait(add_async(a, b))
+
+    @expose
+    def failing_add(self, a: int, b: int) -> int:
+        """Method that fails 2 times then succeeds - for testing retry logic"""
+        self.fail_count += 1
+        if self.fail_count <= 2:
+            raise RuntimeError(f"Intended error for testing {self.fail_count}/2")
+        return a + b
+
+    @expose
+    def always_failing_add(self, a: int, b: int) -> int:
+        """Method that always fails - for testing no retry when disabled"""
+        raise RuntimeError("Intended error for testing")
+
+
+class ServiceTestClient(AppServiceClient):
+    @classmethod
+    def get_service_type(cls):
+        return ServiceTest
+
+    add = ServiceTest.add
+    subtract = ServiceTest.subtract
+    fun_with_async = ServiceTest.fun_with_async
+    failing_add = ServiceTest.failing_add
+    always_failing_add = ServiceTest.always_failing_add
+
+    add_async = endpoint_to_async(ServiceTest.add)
+    subtract_async = endpoint_to_async(ServiceTest.subtract)
+
+
+@pytest.mark.asyncio
+async def test_service_creation(server):
+    with ServiceTest():
+        client = get_service_client(ServiceTestClient)
+        assert client.add(5, 3) == 8
+        assert client.subtract(10, 4) == 6
+        assert client.fun_with_async(5, 3) == 8
+        assert await client.add_async(5, 3) == 8
+        assert await client.subtract_async(10, 4) == 6
+
+
+class TestDynamicClientConnectionHealing:
+    """Test the DynamicClient connection healing logic"""
+
+    def setup_method(self):
+        """Setup for each test method"""
+        # Create a mock service client type
+        self.mock_service_type = Mock()
+        self.mock_service_type.get_host.return_value = "localhost"
+        self.mock_service_type.get_port.return_value = 8000
+
+        self.mock_service_client_type = Mock()
+        self.mock_service_client_type.get_service_type.return_value = (
+            self.mock_service_type
+        )
+
+        # Create our test client with the real DynamicClient logic
+        self.client = self._create_test_client()
+
+    def _create_test_client(self):
+        """Create a test client that mimics the real DynamicClient"""
+
+        class TestClient:
+            def __init__(self, service_client_type):
+                service_type = service_client_type.get_service_type()
+                host = service_type.get_host()
+                port = service_type.get_port()
+                self.base_url = f"http://{host}:{port}".rstrip("/")
+                self._connection_failure_count = 0
+                self._last_client_reset = 0
+
+            def _create_sync_client(self) -> httpx.Client:
+                return Mock(spec=httpx.Client)
+
+            def _create_async_client(self) -> httpx.AsyncClient:
+                return Mock(spec=httpx.AsyncClient)
+
+            @cached_property
+            def sync_client(self) -> httpx.Client:
+                return self._create_sync_client()
+
+            @cached_property
+            def async_client(self) -> httpx.AsyncClient:
+                return self._create_async_client()
+
+            def _handle_connection_error(self, error: Exception) -> None:
+                """Handle connection errors and implement self-healing"""
+                self._connection_failure_count += 1
+                current_time = time.time()
+
+                # If we've had 3+ failures and it's been more than 30 seconds since last reset
+                if (
+                    self._connection_failure_count >= 3
+                    and current_time - self._last_client_reset > 30
+                ):
+
+                    # Clear cached clients to force recreation on next access
+                    if hasattr(self, "sync_client"):
+                        delattr(self, "sync_client")
+                    if hasattr(self, "async_client"):
+                        delattr(self, "async_client")
+
+                    # Reset counters
+                    self._connection_failure_count = 0
+                    self._last_client_reset = current_time
+
+        return TestClient(self.mock_service_client_type)
+
+    def test_client_caching(self):
+        """Test that clients are cached via @cached_property"""
+        # Get clients multiple times
+        sync1 = self.client.sync_client
+        sync2 = self.client.sync_client
+        async1 = self.client.async_client
+        async2 = self.client.async_client
+
+        # Should return same instances (cached)
+        assert sync1 is sync2, "Sync clients should be cached"
+        assert async1 is async2, "Async clients should be cached"
+
+    def test_connection_error_counting(self):
+        """Test that connection errors are counted correctly"""
+        initial_count = self.client._connection_failure_count
+
+        # Simulate connection errors
+        self.client._handle_connection_error(Exception("Connection failed"))
+        assert self.client._connection_failure_count == initial_count + 1
+
+        self.client._handle_connection_error(Exception("Connection failed"))
+        assert self.client._connection_failure_count == initial_count + 2
+
+    def test_no_reset_before_threshold(self):
+        """Test that clients are NOT reset before reaching failure threshold"""
+        # Get initial clients
+        sync_before = self.client.sync_client
+        async_before = self.client.async_client
+
+        # Simulate 2 failures (below threshold of 3)
+        self.client._handle_connection_error(Exception("Connection failed"))
+        self.client._handle_connection_error(Exception("Connection failed"))
+
+        # Clients should still be the same (no reset)
+        sync_after = self.client.sync_client
+        async_after = self.client.async_client
+
+        assert (
+            sync_before is sync_after
+        ), "Sync client should not be reset before threshold"
+        assert (
+            async_before is async_after
+        ), "Async client should not be reset before threshold"
+        assert self.client._connection_failure_count == 2
+
+    def test_no_reset_within_time_window(self):
+        """Test that clients are NOT reset if within the 30-second window"""
+        # Get initial clients
+        sync_before = self.client.sync_client
+        async_before = self.client.async_client
+
+        # Set last reset to recent time (within 30 seconds)
+        self.client._last_client_reset = time.time() - 10  # 10 seconds ago
+
+        # Simulate 3+ failures
+        for _ in range(3):
+            self.client._handle_connection_error(Exception("Connection failed"))
+
+        # Clients should still be the same (no reset due to time window)
+        sync_after = self.client.sync_client
+        async_after = self.client.async_client
+
+        assert (
+            sync_before is sync_after
+        ), "Sync client should not be reset within time window"
+        assert (
+            async_before is async_after
+        ), "Async client should not be reset within time window"
+        assert self.client._connection_failure_count == 3
+
+    def test_reset_after_threshold_and_time(self):
+        """Test that clients ARE reset after threshold failures and time window"""
+        # Get initial clients
+        sync_before = self.client.sync_client
+        async_before = self.client.async_client
+
+        # Set last reset to old time (beyond 30 seconds)
+        self.client._last_client_reset = time.time() - 60  # 60 seconds ago
+
+        # Simulate 3+ failures to trigger reset
+        for _ in range(3):
+            self.client._handle_connection_error(Exception("Connection failed"))
+
+        # Clients should be different (reset occurred)
+        sync_after = self.client.sync_client
+        async_after = self.client.async_client
+
+        assert (
+            sync_before is not sync_after
+        ), "Sync client should be reset after threshold"
+        assert (
+            async_before is not async_after
+        ), "Async client should be reset after threshold"
+        assert (
+            self.client._connection_failure_count == 0
+        ), "Failure count should be reset"
+
+    def test_reset_counters_after_healing(self):
+        """Test that counters are properly reset after healing"""
+        # Set up for reset
+        self.client._last_client_reset = time.time() - 60
+        self.client._connection_failure_count = 5
+
+        # Trigger reset
+        self.client._handle_connection_error(Exception("Connection failed"))
+
+        # Check counters are reset
+        assert self.client._connection_failure_count == 0
+        assert self.client._last_client_reset > time.time() - 5  # Recently reset
+
+
+class TestConnectionHealingIntegration:
+    """Integration tests for the complete connection healing workflow"""
+
+    def test_failure_count_reset_on_success(self):
+        """Test that failure count would be reset on successful requests"""
+
+        # This simulates what happens in _handle_call_method_response
+        class ClientWithSuccessHandling:
+            def __init__(self):
+                self._connection_failure_count = 5
+
+            def _handle_successful_response(self):
+                # This is what happens in the real _handle_call_method_response
+                self._connection_failure_count = 0
+
+        client = ClientWithSuccessHandling()
+        client._handle_successful_response()
+        assert client._connection_failure_count == 0
+
+    def test_thirty_second_window_timing(self):
+        """Test that the 30-second window works as expected"""
+        current_time = time.time()
+
+        # Test cases for the timing logic
+        test_cases = [
+            (current_time - 10, False),  # 10 seconds ago - should NOT reset
+            (current_time - 29, False),  # 29 seconds ago - should NOT reset
+            (current_time - 31, True),  # 31 seconds ago - should reset
+            (current_time - 60, True),  # 60 seconds ago - should reset
+        ]
+
+        for last_reset_time, should_reset in test_cases:
+            failure_count = 3  # At threshold
+            time_condition = current_time - last_reset_time > 30
+            should_trigger_reset = failure_count >= 3 and time_condition
+
+            assert (
+                should_trigger_reset == should_reset
+            ), f"Time window logic failed for {current_time - last_reset_time} seconds ago"
+
+
+def test_cached_property_behavior():
+    """Test that @cached_property works as expected for our use case"""
+    creation_count = 0
+
+    class TestCachedProperty:
+        @cached_property
+        def expensive_resource(self):
+            nonlocal creation_count
+            creation_count += 1
+            return f"resource-{creation_count}"
+
+    obj = TestCachedProperty()
+
+    # First access should create
+    resource1 = obj.expensive_resource
+    assert creation_count == 1
+
+    # Second access should return cached
+    resource2 = obj.expensive_resource
+    assert creation_count == 1  # No additional creation
+    assert resource1 is resource2
+
+    # Deleting the cached property should allow recreation
+    delattr(obj, "expensive_resource")
+    resource3 = obj.expensive_resource
+    assert creation_count == 2  # New creation
+    assert resource1 != resource3
+
+
+def test_service_with_runtime_error_retries(server):
+    """Test a real service method that throws RuntimeError and gets retried"""
+    with ServiceTest():
+        # Get client with retry enabled
+        client = get_service_client(ServiceTestClient, request_retry=True)
+
+        # This should succeed after retries (fails 2 times, succeeds on 3rd try)
+        result = client.failing_add(5, 3)
+        assert result == 8
+
+
+def test_service_no_retry_when_disabled(server):
+    """Test that retry doesn't happen when disabled"""
+    with ServiceTest():
+        # Get client with retry disabled
+        client = get_service_client(ServiceTestClient, request_retry=False)
+
+        # This should fail immediately without retry
+        with pytest.raises(RuntimeError, match="Intended error for testing"):
+            client.always_failing_add(5, 3)
+
+
+class TestHTTPErrorRetryBehavior:
+    """Test that HTTP client errors (4xx) are not retried but server errors (5xx) can be."""
+
+    # Note: These tests access private methods for testing internal behavior
+    # Type ignore comments are used to suppress warnings about accessing private methods
+
+    def test_http_client_error_not_retried(self):
+        """Test that 4xx errors are wrapped as HTTPClientError and not retried."""
+        # Create a mock response with 404 status
+        mock_response = Mock()
+        mock_response.status_code = 404
+        mock_response.json.return_value = {"message": "Not found"}
+        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
+            "404 Not Found", request=Mock(), response=mock_response
+        )
+
+        # Create client
+        client = get_service_client(ServiceTestClient)
+        dynamic_client = client
+
+        # Test the _handle_call_method_response directly
+        with pytest.raises(HTTPClientError) as exc_info:
+            dynamic_client._handle_call_method_response(  # type: ignore[attr-defined]
+                response=mock_response, method_name="test_method"
+            )
+
+        assert exc_info.value.status_code == 404
+        assert "404" in str(exc_info.value)
+
+    def test_http_server_error_can_be_retried(self):
+        """Test that 5xx errors are wrapped as HTTPServerError and can be retried."""
+        # Create a mock response with 500 status
+        mock_response = Mock()
+        mock_response.status_code = 500
+        mock_response.json.return_value = {"message": "Internal server error"}
+        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
+            "500 Internal Server Error", request=Mock(), response=mock_response
+        )
+
+        # Create client
+        client = get_service_client(ServiceTestClient)
+        dynamic_client = client
+
+        # Test the _handle_call_method_response directly
+        with pytest.raises(HTTPServerError) as exc_info:
+            dynamic_client._handle_call_method_response(  # type: ignore[attr-defined]
+                response=mock_response, method_name="test_method"
+            )
+
+        assert exc_info.value.status_code == 500
+        assert "500" in str(exc_info.value)
+
+    def test_mapped_exception_preserves_original_type(self):
+        """Test that mapped exceptions preserve their original type regardless of HTTP status."""
+        # Create a mock response with ValueError in the remote call error
+        mock_response = Mock()
+        mock_response.status_code = 400
+        mock_response.json.return_value = {
+            "type": "ValueError",
+            "args": ["Invalid parameter value"],
+        }
+        mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
+            "400 Bad Request", request=Mock(), response=mock_response
+        )
+
+        # Create client
+        client = get_service_client(ServiceTestClient)
+        dynamic_client = client
+
+        # Test the _handle_call_method_response directly
+        with pytest.raises(ValueError) as exc_info:
+            dynamic_client._handle_call_method_response(  # type: ignore[attr-defined]
+                response=mock_response, method_name="test_method"
+            )
+
+        assert "Invalid parameter value" in str(exc_info.value)
+
+    def test_client_error_status_codes_coverage(self):
+        """Test that various 4xx status codes are all wrapped as HTTPClientError."""
+        client_error_codes = [400, 401, 403, 404, 405, 409, 422, 429]
+
+        for status_code in client_error_codes:
+            mock_response = Mock()
+            mock_response.status_code = status_code
+            mock_response.json.return_value = {"message": f"Error {status_code}"}
+            mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
+                f"{status_code} Error", request=Mock(), response=mock_response
+            )
+
+            client = get_service_client(ServiceTestClient)
+            dynamic_client = client
+
+            with pytest.raises(HTTPClientError) as exc_info:
+                dynamic_client._handle_call_method_response(  # type: ignore
+                    response=mock_response, method_name="test_method"
+                )
+
+            assert exc_info.value.status_code == status_code
+
+    def test_server_error_status_codes_coverage(self):
+        """Test that various 5xx status codes are all wrapped as HTTPServerError."""
+        server_error_codes = [500, 501, 502, 503, 504, 505]
+
+        for status_code in server_error_codes:
+            mock_response = Mock()
+            mock_response.status_code = status_code
+            mock_response.json.return_value = {"message": f"Error {status_code}"}
+            mock_response.raise_for_status.side_effect = httpx.HTTPStatusError(
+                f"{status_code} Error", request=Mock(), response=mock_response
+            )
+
+            client = get_service_client(ServiceTestClient)
+            dynamic_client = client
+
+            with pytest.raises(HTTPServerError) as exc_info:
+                dynamic_client._handle_call_method_response(  # type: ignore
+                    response=mock_response, method_name="test_method"
+                )
+
+            assert exc_info.value.status_code == status_code
diff --git a/autogpt_platform/backend/backend/util/settings.py b/autogpt_platform/backend/backend/util/settings.py
index 69504f528f3c..89f13f965b62 100644
--- a/autogpt_platform/backend/backend/util/settings.py
+++ b/autogpt_platform/backend/backend/util/settings.py
@@ -31,12 +31,12 @@ class UpdateTrackingModel(BaseModel, Generic[T]):
     _updated_fields: Set[str] = PrivateAttr(default_factory=set)
 
     def __setattr__(self, name: str, value) -> None:
-        if name in self.model_fields:
+        if name in UpdateTrackingModel.model_fields:
             self._updated_fields.add(name)
         super().__setattr__(name, value)
 
     def mark_updated(self, field_name: str) -> None:
-        if field_name in self.model_fields:
+        if field_name in UpdateTrackingModel.model_fields:
             self._updated_fields.add(field_name)
 
     def clear_updates(self) -> None:
@@ -59,12 +59,6 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
         le=1000,
         description="Maximum number of workers to use for graph execution.",
     )
-    num_node_workers: int = Field(
-        default=5,
-        ge=1,
-        le=1000,
-        description="Maximum number of workers to use for node execution within a single graph.",
-    )
     pyro_host: str = Field(
         default="localhost",
         description="The default hostname of the Pyro server.",
@@ -74,22 +68,78 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
         description="The default timeout in seconds, for Pyro client connections.",
     )
     pyro_client_comm_retry: int = Field(
-        default=3,
+        default=5,
         description="The default number of retries for Pyro client connections.",
     )
+    rpc_client_call_timeout: int = Field(
+        default=300,
+        description="The default timeout in seconds, for RPC client calls.",
+    )
     enable_auth: bool = Field(
         default=True,
         description="If authentication is enabled or not",
     )
-    enable_credit: str = Field(
-        default="false",
+    enable_credit: bool = Field(
+        default=False,
         description="If user credit system is enabled or not",
     )
+    enable_beta_monthly_credit: bool = Field(
+        default=True,
+        description="If beta monthly credits accounting is enabled or not",
+    )
     num_user_credits_refill: int = Field(
         default=1500,
         description="Number of credits to refill for each user",
     )
-    # Add more configuration fields as needed
+    refund_credit_tolerance_threshold: int = Field(
+        default=500,
+        description="Maximum number of credits above the balance to be auto-approved.",
+    )
+    low_balance_threshold: int = Field(
+        default=500,
+        description="Credit threshold for low balance notifications (100 = $1, default 500 = $5)",
+    )
+    refund_notification_email: str = Field(
+        default="refund@agpt.co",
+        description="Email address to send refund notifications to.",
+    )
+    refund_request_time_key_format: str = Field(
+        default="%Y-%W",  # This will allow for weekly refunds per user.
+        description="Time key format for refund requests.",
+    )
+    execution_cost_count_threshold: int = Field(
+        default=100,
+        description="Number of executions after which the cost is calculated.",
+    )
+    execution_cost_per_threshold: int = Field(
+        default=1,
+        description="Cost per execution in cents after each threshold.",
+    )
+    execution_counter_expiration_time: int = Field(
+        default=60 * 60 * 24,
+        description="Time in seconds after which the execution counter is reset.",
+    )
+    execution_late_notification_threshold_secs: int = Field(
+        default=5 * 60,
+        description="Time in seconds after which the execution stuck on QUEUED status is considered late.",
+    )
+    execution_late_notification_checkrange_secs: int = Field(
+        default=60 * 60,
+        description="Time in seconds for how far back to check for the late executions.",
+    )
+
+    block_error_rate_threshold: float = Field(
+        default=0.5,
+        description="Error rate threshold (0.0-1.0) for triggering block error alerts.",
+    )
+    block_error_rate_check_interval_secs: int = Field(
+        default=24 * 60 * 60,  # 24 hours
+        description="Interval in seconds between block error rate checks.",
+    )
+    block_error_include_top_blocks: int = Field(
+        default=3,
+        description="Number of top blocks with most errors to show when no blocks exceed threshold (0 to disable).",
+    )
 
     model_config = SettingsConfigDict(
         env_file=".env",
@@ -136,6 +186,16 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
         description="The port for agent server API to run on",
     )
 
+    notification_service_port: int = Field(
+        default=8007,
+        description="The port for notification service daemon to run on",
+    )
+
+    otto_api_url: str = Field(
+        default="",
+        description="The URL for the Otto API service",
+    )
+
     platform_base_url: str = Field(
         default="",
         description="Must be set so the application knows where it's hosted at. "
@@ -153,6 +213,122 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
         description="The name of the Google Cloud Storage bucket for media files",
     )
 
+    reddit_user_agent: str = Field(
+        default="AutoGPT:1.0 (by /u/autogpt)",
+        description="The user agent for the Reddit API",
+    )
+
+    scheduler_db_pool_size: int = Field(
+        default=3,
+        description="The pool size for the scheduler database connection pool",
+    )
+
+    rabbitmq_host: str = Field(
+        default="localhost",
+        description="The host for the RabbitMQ server",
+    )
+    rabbitmq_port: int = Field(
+        default=5672,
+        description="The port for the RabbitMQ server",
+    )
+
+    rabbitmq_vhost: str = Field(
+        default="/",
+        description="The vhost for the RabbitMQ server",
+    )
+
+    postmark_sender_email: str = Field(
+        default="invalid@invalid.com",
+        description="The email address to use for sending emails",
+    )
+
+    use_agent_image_generation_v2: bool = Field(
+        default=True,
+        description="Whether to use the new agent image generation service",
+    )
+    enable_agent_input_subtype_blocks: bool = Field(
+        default=True,
+        description="Whether to enable the agent input subtype blocks",
+    )
+    platform_alert_discord_channel: str = Field(
+        default="local-alerts",
+        description="The Discord channel for the platform",
+    )
+    product_alert_discord_channel: str = Field(
+        default="product-alerts",
+        description="The Discord channel for product alerts (low balance, zero balance, etc.)",
+    )
+
+    clamav_service_host: str = Field(
+        default="localhost",
+        description="The host for the ClamAV daemon",
+    )
+    clamav_service_port: int = Field(
+        default=3310,
+        description="The port for the ClamAV daemon",
+    )
+    clamav_service_timeout: int = Field(
+        default=60,
+        description="The timeout in seconds for the ClamAV daemon",
+    )
+    clamav_service_enabled: bool = Field(
+        default=True,
+        description="Whether virus scanning is enabled or not",
+    )
+    clamav_max_concurrency: int = Field(
+        default=10,
+        description="The maximum number of concurrent scans to perform",
+    )
+    clamav_mark_failed_scans_as_clean: bool = Field(
+        default=False,
+        description="Whether to mark failed scans as clean or not",
+    )
+
+    enable_example_blocks: bool = Field(
+        default=False,
+        description="Whether to enable example blocks in production",
+    )
+
+    cloud_storage_cleanup_interval_hours: int = Field(
+        default=6,
+        ge=1,
+        le=24,
+        description="Hours between cloud storage cleanup runs (1-24 hours)",
+    )
+
+    upload_file_size_limit_mb: int = Field(
+        default=256,
+        ge=1,
+        le=1024,
+        description="Maximum file size in MB for file uploads (1-1024 MB)",
+    )
+
+    # AutoMod configuration
+    automod_enabled: bool = Field(
+        default=False,
+        description="Whether AutoMod content moderation is enabled",
+    )
+    automod_api_url: str = Field(
+        default="",
+        description="AutoMod API base URL - Make sure it ends in /api",
+    )
+    automod_timeout: int = Field(
+        default=30,
+        description="Timeout in seconds for AutoMod API requests",
+    )
+    automod_retry_attempts: int = Field(
+        default=3,
+        description="Number of retry attempts for AutoMod API requests",
+    )
+    automod_retry_delay: float = Field(
+        default=1.0,
+        description="Delay between retries for AutoMod API requests in seconds",
+    )
+    automod_fail_open: bool = Field(
+        default=False,
+        description="If True, allow execution to continue if AutoMod fails",
+    )
+
     @field_validator("platform_base_url", "frontend_base_url")
     @classmethod
     def validate_platform_base_url(cls, v: str, info: ValidationInfo) -> str:
@@ -187,7 +363,12 @@ def validate_platform_base_url(cls, v: str, info: ValidationInfo) -> str:
         description="A whitelist of trusted internal endpoints for the backend to make requests to.",
     )
 
-    backend_cors_allow_origins: List[str] = Field(default_factory=list)
+    max_message_size_limit: int = Field(
+        default=16 * 1024 * 1024,  # 16 MB
+        description="Maximum message size limit for communication with the message bus",
+    )
+
+    backend_cors_allow_origins: List[str] = Field(default=["http://localhost:3000"])
 
     @field_validator("backend_cors_allow_origins")
     @classmethod
@@ -244,6 +425,35 @@ class Secrets(UpdateTrackingModel["Secrets"], BaseSettings):
 
     encryption_key: str = Field(default="", description="Encryption key")
 
+    rabbitmq_default_user: str = Field(default="", description="RabbitMQ default user")
+    rabbitmq_default_pass: str = Field(
+        default="", description="RabbitMQ default password"
+    )
+
+    postmark_server_api_token: str = Field(
+        default="", description="Postmark server API token used for sending emails"
+    )
+
+    postmark_webhook_token: str = Field(
+        default="",
+        description="The token to use for the Postmark webhook",
+    )
+
+    unsubscribe_secret_key: str = Field(
+        default="",
+        description="The secret key to use for the unsubscribe user by token",
+    )
+
+    # Cloudflare Turnstile credentials
+    turnstile_secret_key: str = Field(
+        default="",
+        description="Cloudflare Turnstile backend secret key",
+    )
+    turnstile_verify_url: str = Field(
+        default="https://challenges.cloudflare.com/turnstile/v0/siteverify",
+        description="Cloudflare Turnstile verify URL",
+    )
+
     # OAuth server credentials for integrations
     # --8<-- [start:OAuthServerCredentialsExample]
     github_client_id: str = Field(default="", description="GitHub OAuth client ID")
@@ -259,16 +469,25 @@ class Secrets(UpdateTrackingModel["Secrets"], BaseSettings):
     notion_client_secret: str = Field(
         default="", description="Notion OAuth client secret"
     )
+    twitter_client_id: str = Field(default="", description="Twitter/X OAuth client ID")
+    twitter_client_secret: str = Field(
+        default="", description="Twitter/X OAuth client secret"
+    )
+    discord_client_id: str = Field(default="", description="Discord OAuth client ID")
+    discord_client_secret: str = Field(
+        default="", description="Discord OAuth client secret"
+    )
 
     openai_api_key: str = Field(default="", description="OpenAI API key")
+    aiml_api_key: str = Field(default="", description="'AI/ML API' key")
     anthropic_api_key: str = Field(default="", description="Anthropic API key")
     groq_api_key: str = Field(default="", description="Groq API key")
     open_router_api_key: str = Field(default="", description="Open Router API Key")
+    llama_api_key: str = Field(default="", description="Llama API Key")
+    v0_api_key: str = Field(default="", description="v0 by Vercel API key")
 
     reddit_client_id: str = Field(default="", description="Reddit client ID")
     reddit_client_secret: str = Field(default="", description="Reddit client secret")
-    reddit_username: str = Field(default="", description="Reddit username")
-    reddit_password: str = Field(default="", description="Reddit password")
 
     openweathermap_api_key: str = Field(
         default="", description="OpenWeatherMap API key"
@@ -295,10 +514,40 @@ class Secrets(UpdateTrackingModel["Secrets"], BaseSettings):
     jina_api_key: str = Field(default="", description="Jina API Key")
     unreal_speech_api_key: str = Field(default="", description="Unreal Speech API Key")
 
-    fal_key: str = Field(default="", description="FAL API key")
+    fal_api_key: str = Field(default="", description="FAL API key")
+    exa_api_key: str = Field(default="", description="Exa API key")
+    e2b_api_key: str = Field(default="", description="E2B API key")
+    nvidia_api_key: str = Field(default="", description="Nvidia API key")
+    mem0_api_key: str = Field(default="", description="Mem0 API key")
 
-    # Add more secret fields as needed
+    linear_client_id: str = Field(default="", description="Linear client ID")
+    linear_client_secret: str = Field(default="", description="Linear client secret")
+
+    todoist_client_id: str = Field(default="", description="Todoist client ID")
+    todoist_client_secret: str = Field(default="", description="Todoist client secret")
+
+    stripe_api_key: str = Field(default="", description="Stripe API Key")
+    stripe_webhook_secret: str = Field(default="", description="Stripe Webhook Secret")
+
+    screenshotone_api_key: str = Field(default="", description="ScreenshotOne API Key")
 
+    apollo_api_key: str = Field(default="", description="Apollo API Key")
+    smartlead_api_key: str = Field(default="", description="SmartLead API Key")
+    zerobounce_api_key: str = Field(default="", description="ZeroBounce API Key")
+    enrichlayer_api_key: str = Field(default="", description="Enrichlayer API Key")
+
+    # AutoMod API credentials
+    automod_api_key: str = Field(default="", description="AutoMod API key")
+
+    # LaunchDarkly feature flags
+    launch_darkly_sdk_key: str = Field(
+        default="",
+        description="The LaunchDarkly SDK key for feature flag management",
+    )
+
+    ayrshare_api_key: str = Field(default="", description="Ayrshare API Key")
+    ayrshare_jwt_key: str = Field(default="", description="Ayrshare private Key")
+    # Add more secret fields as needed
     model_config = SettingsConfigDict(
         env_file=".env",
         env_file_encoding="utf-8",
diff --git a/autogpt_platform/backend/backend/util/test.py b/autogpt_platform/backend/backend/util/test.py
index 5433fd90226c..e2e4cc79b028 100644
--- a/autogpt_platform/backend/backend/util/test.py
+++ b/autogpt_platform/backend/backend/util/test.py
@@ -1,13 +1,21 @@
+import inspect
 import logging
 import time
-from typing import Sequence
+import uuid
+from typing import Sequence, cast
 
 from backend.data import db
-from backend.data.block import Block, initialize_blocks
-from backend.data.execution import ExecutionResult, ExecutionStatus
-from backend.data.model import CREDENTIALS_FIELD_NAME
+from backend.data.block import Block, BlockSchema, initialize_blocks
+from backend.data.execution import (
+    ExecutionStatus,
+    NodeExecutionResult,
+    UserContext,
+    get_graph_execution,
+)
+from backend.data.model import _BaseCredentials
 from backend.data.user import create_default_user
-from backend.executor import DatabaseManager, ExecutionManager, ExecutionScheduler
+from backend.executor import DatabaseManager, ExecutionManager, Scheduler
+from backend.notifications.notifications import NotificationManager
 from backend.server.rest_api import AgentServer
 from backend.server.utils import get_user_id
 
@@ -19,7 +27,8 @@ def __init__(self):
         self.db_api = DatabaseManager()
         self.exec_manager = ExecutionManager()
         self.agent_server = AgentServer()
-        self.scheduler = ExecutionScheduler()
+        self.scheduler = Scheduler(register_system_tasks=False)
+        self.notif_manager = NotificationManager()
 
     @staticmethod
     def test_get_user_id():
@@ -31,6 +40,7 @@ async def __aenter__(self):
         self.agent_server.__enter__()
         self.exec_manager.__enter__()
         self.scheduler.__enter__()
+        self.notif_manager.__enter__()
 
         await db.connect()
         await initialize_blocks()
@@ -45,6 +55,7 @@ async def __aexit__(self, exc_type, exc_val, exc_tb):
         self.exec_manager.__exit__(exc_type, exc_val, exc_tb)
         self.agent_server.__exit__(exc_type, exc_val, exc_tb)
         self.db_api.__exit__(exc_type, exc_val, exc_tb)
+        self.notif_manager.__exit__(exc_type, exc_val, exc_tb)
 
     def setup_dependency_overrides(self):
         # Override get_user_id for testing
@@ -55,30 +66,36 @@ def setup_dependency_overrides(self):
 
 async def wait_execution(
     user_id: str,
-    graph_id: str,
     graph_exec_id: str,
-    timeout: int = 20,
-) -> Sequence[ExecutionResult]:
+    timeout: int = 30,
+) -> Sequence[NodeExecutionResult]:
     async def is_execution_completed():
         status = await AgentServer().test_get_graph_run_status(graph_exec_id, user_id)
         log.info(f"Execution status: {status}")
         if status == ExecutionStatus.FAILED:
             log.info("Execution failed")
             raise Exception("Execution failed")
+        if status == ExecutionStatus.TERMINATED:
+            log.info("Execution terminated")
+            raise Exception("Execution terminated")
         return status == ExecutionStatus.COMPLETED
 
     # Wait for the executions to complete
     for i in range(timeout):
         if await is_execution_completed():
-            return await AgentServer().test_get_graph_run_node_execution_results(
-                graph_id, graph_exec_id, user_id
+            graph_exec = await get_graph_execution(
+                user_id=user_id,
+                execution_id=graph_exec_id,
+                include_node_executions=True,
             )
+            assert graph_exec, f"Graph execution #{graph_exec_id} not found"
+            return graph_exec.node_executions
         time.sleep(1)
 
     assert False, "Execution did not complete in time."
 
 
-def execute_block_test(block: Block):
+async def execute_block_test(block: Block):
     prefix = f"[Test-{block.name}]"
 
     if not block.test_input or not block.test_output:
@@ -95,26 +112,60 @@ def execute_block_test(block: Block):
 
     for mock_name, mock_obj in (block.test_mock or {}).items():
         log.info(f"{prefix} mocking {mock_name}...")
-        if hasattr(block, mock_name):
-            setattr(block, mock_name, mock_obj)
-        else:
+        # check whether the field mock_name is an async function or not
+        if not hasattr(block, mock_name):
             log.info(f"{prefix} mock {mock_name} not found in block")
+            continue
 
-    extra_exec_kwargs = {}
+        fun = getattr(block, mock_name)
+        is_async = inspect.iscoroutinefunction(fun) or inspect.isasyncgenfunction(fun)
 
-    if CREDENTIALS_FIELD_NAME in block.input_schema.model_fields:
-        if not block.test_credentials:
-            raise ValueError(
-                f"{prefix} requires credentials but has no test_credentials"
-            )
-        extra_exec_kwargs[CREDENTIALS_FIELD_NAME] = block.test_credentials
+        if is_async:
+
+            async def async_mock(
+                *args, _mock_name=mock_name, _mock_obj=mock_obj, **kwargs
+            ):
+                return _mock_obj(*args, **kwargs)
+
+            setattr(block, mock_name, async_mock)
+
+        else:
+            setattr(block, mock_name, mock_obj)
+
+    # Populate credentials argument(s)
+    extra_exec_kwargs: dict = {
+        "graph_id": str(uuid.uuid4()),
+        "node_id": str(uuid.uuid4()),
+        "graph_exec_id": str(uuid.uuid4()),
+        "node_exec_id": str(uuid.uuid4()),
+        "user_id": str(uuid.uuid4()),
+        "user_context": UserContext(timezone="UTC"),  # Default for tests
+    }
+    input_model = cast(type[BlockSchema], block.input_schema)
+    credentials_input_fields = input_model.get_credentials_fields()
+    if len(credentials_input_fields) == 1 and isinstance(
+        block.test_credentials, _BaseCredentials
+    ):
+        field_name = next(iter(credentials_input_fields))
+        extra_exec_kwargs[field_name] = block.test_credentials
+    elif credentials_input_fields and block.test_credentials:
+        if not isinstance(block.test_credentials, dict):
+            raise TypeError(f"Block {block.name} has no usable test credentials")
+        else:
+            for field_name in credentials_input_fields:
+                if field_name in block.test_credentials:
+                    extra_exec_kwargs[field_name] = block.test_credentials[field_name]
 
     for input_data in block.test_input:
         log.info(f"{prefix} in: {input_data}")
 
-        for output_name, output_data in block.execute(input_data, **extra_exec_kwargs):
+        async for output_name, output_data in block.execute(
+            input_data, **extra_exec_kwargs
+        ):
             if output_index >= len(block.test_output):
-                raise ValueError(f"{prefix} produced output more than expected")
+                raise ValueError(
+                    f"{prefix} produced output more than expected {output_index} >= {len(block.test_output)}:\nOutput Expected:\t\t{block.test_output}\nFailed Output Produced:\t('{output_name}', {output_data})\nNote that this may not be the one that was unexpected, but it is the first that triggered the extra output warning"
+                )
             ex_output_name, ex_output_data = block.test_output[output_index]
 
             def compare(data, expected_data):
@@ -131,7 +182,9 @@ def compare(data, expected_data):
                 log.info(f"{prefix} {mark} comparing `{data}` vs `{expected_data}`")
                 if not is_matching:
                     raise ValueError(
-                        f"{prefix}: wrong output {data} vs {expected_data}"
+                        f"{prefix}: wrong output {data} vs {expected_data}\n"
+                        f"Output Expected:\t\t{block.test_output}\n"
+                        f"Failed Output Produced:\t('{output_name}', {output_data})"
                     )
 
             compare(output_data, ex_output_data)
diff --git a/autogpt_platform/backend/backend/util/test_json.py b/autogpt_platform/backend/backend/util/test_json.py
new file mode 100644
index 000000000000..9e8602ea0868
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/test_json.py
@@ -0,0 +1,217 @@
+import datetime
+from typing import Any, Optional
+
+from prisma import Json
+from pydantic import BaseModel
+
+from backend.util.json import SafeJson
+
+
+class SamplePydanticModel(BaseModel):
+    name: str
+    age: Optional[int] = None
+    timestamp: Optional[datetime.datetime] = None
+    metadata: Optional[dict] = None
+
+
+class SampleModelWithNonSerializable(BaseModel):
+    name: str
+    func: Any = None  # Could contain non-serializable data
+    data: Optional[dict] = None
+
+
+class TestSafeJson:
+    """Test cases for SafeJson function."""
+
+    def test_safejson_returns_json_type(self):
+        """Test that SafeJson returns a proper Json instance."""
+        data = {"test": "value"}
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_simple_dict_serialization(self):
+        """Test basic dictionary serialization."""
+        data = {"name": "John", "age": 30, "active": True}
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_unicode_handling(self):
+        """Test that Unicode characters are handled properly."""
+        data = {
+            "name": "café",
+            "emoji": "🎉",
+            "chinese": "你好",
+            "arabic": "مرحبا",
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_nested_data_structures(self):
+        """Test complex nested data structures."""
+        data = {
+            "user": {
+                "name": "Alice",
+                "preferences": {
+                    "theme": "dark",
+                    "notifications": ["email", "push"],
+                },
+            },
+            "metadata": {
+                "tags": ["important", "urgent"],
+                "scores": [8.5, 9.2, 7.8],
+            },
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_pydantic_model_basic(self):
+        """Test basic Pydantic model serialization."""
+        model = SamplePydanticModel(name="John", age=30)
+        result = SafeJson(model)
+        assert isinstance(result, Json)
+
+    def test_pydantic_model_with_none_values(self):
+        """Test Pydantic model with None values (should be excluded)."""
+        model = SamplePydanticModel(name="John", age=None, timestamp=None)
+        result = SafeJson(model)
+        assert isinstance(result, Json)
+        # The actual Json content should exclude None values due to exclude_none=True
+
+    def test_pydantic_model_with_datetime(self):
+        """Test Pydantic model with datetime field."""
+        now = datetime.datetime.now()
+        model = SamplePydanticModel(name="John", age=25, timestamp=now)
+        result = SafeJson(model)
+        assert isinstance(result, Json)
+
+    def test_non_serializable_values_in_dict(self):
+        """Test that non-serializable values in dict are converted to None."""
+        data = {
+            "name": "test",
+            "function": lambda x: x,  # Non-serializable
+            "datetime": datetime.datetime.now(),  # Non-serializable
+            "valid_data": "this should work",
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_pydantic_model_with_non_serializable_fallback(self):
+        """Test Pydantic model with non-serializable field using fallback."""
+        model = SampleModelWithNonSerializable(
+            name="test",
+            func=lambda x: x,  # Non-serializable
+            data={"valid": "data"},
+        )
+        result = SafeJson(model)
+        assert isinstance(result, Json)
+
+    def test_empty_data_structures(self):
+        """Test empty data structures."""
+        test_cases = [
+            {},  # Empty dict
+            [],  # Empty list
+            "",  # Empty string
+            None,  # None value
+        ]
+
+        for data in test_cases:
+            result = SafeJson(data)
+            assert isinstance(result, Json)
+
+    def test_complex_mixed_data(self):
+        """Test complex mixed data with various types."""
+        data = {
+            "string": "test",
+            "integer": 42,
+            "float": 3.14,
+            "boolean": True,
+            "none_value": None,
+            "list": [1, 2, "three", {"nested": "dict"}],
+            "nested_dict": {
+                "level2": {
+                    "level3": ["deep", "nesting", 123],
+                }
+            },
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_list_of_pydantic_models(self):
+        """Test list containing Pydantic models."""
+        models = [
+            SamplePydanticModel(name="Alice", age=25),
+            SamplePydanticModel(name="Bob", age=30),
+        ]
+        data = {"users": models}
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_edge_case_circular_reference_protection(self):
+        """Test that circular references don't cause infinite loops."""
+        # Note: This test assumes the underlying json.dumps handles circular refs
+        # by raising an exception, which our fallback should handle
+        data = {}
+        data["self"] = data  # Create circular reference
+
+        # This should either work with fallback or raise a reasonable error
+        try:
+            result = SafeJson(data)
+            assert isinstance(result, Json)
+        except (ValueError, RecursionError):
+            # If it raises an error, that's also acceptable behavior
+            pass
+
+    def test_large_data_structure(self):
+        """Test with a reasonably large data structure."""
+        data = {
+            "items": [
+                {"id": i, "name": f"item_{i}", "active": i % 2 == 0} for i in range(100)
+            ],
+            "metadata": {
+                "total": 100,
+                "generated_at": "2024-01-01T00:00:00Z",
+                "tags": ["auto", "generated", "test"],
+            },
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_special_characters_and_encoding(self):
+        """Test various special characters and encoding scenarios."""
+        data = {
+            "quotes": 'He said "Hello world!"',
+            "backslashes": "C:\\Users\\test\\file.txt",
+            "newlines": "Line 1\nLine 2\nLine 3",
+            "tabs": "Column1\tColumn2\tColumn3",
+            "unicode_escape": "\u0048\u0065\u006c\u006c\u006f",  # "Hello"
+            "mixed": "Test with émojis 🚀 and ñúméríçs",
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_numeric_edge_cases(self):
+        """Test various numeric edge cases."""
+        data = {
+            "zero": 0,
+            "negative": -42,
+            "large_int": 999999999999999999,
+            "small_float": 0.000001,
+            "large_float": 1e10,
+            "infinity": float("inf"),  # This might become None due to fallback
+            "negative_infinity": float(
+                "-inf"
+            ),  # This might become None due to fallback
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
+
+    def test_boolean_and_null_values(self):
+        """Test boolean and null value handling."""
+        data = {
+            "true_value": True,
+            "false_value": False,
+            "null_value": None,
+            "mixed_list": [True, False, None, "string", 42],
+        }
+        result = SafeJson(data)
+        assert isinstance(result, Json)
diff --git a/autogpt_platform/backend/backend/util/text.py b/autogpt_platform/backend/backend/util/text.py
index 951339b55d59..0c1e22edc0af 100644
--- a/autogpt_platform/backend/backend/util/text.py
+++ b/autogpt_platform/backend/backend/util/text.py
@@ -1,22 +1,152 @@
-import re
+import logging
 
+import bleach
+from bleach.css_sanitizer import CSSSanitizer
 from jinja2 import BaseLoader
 from jinja2.sandbox import SandboxedEnvironment
+from markupsafe import Markup
+
+logger = logging.getLogger(__name__)
+
+
+def format_filter_for_jinja2(value, format_string=None):
+    if format_string:
+        return format_string % float(value)
+    return value
 
 
 class TextFormatter:
     def __init__(self):
-        # Create a sandboxed environment
         self.env = SandboxedEnvironment(loader=BaseLoader(), autoescape=True)
-
-        # Clear any registered filters, tests, and globals to minimize attack surface
-        self.env.filters.clear()
-        self.env.tests.clear()
         self.env.globals.clear()
 
+        # Instead of clearing all filters, just remove potentially unsafe ones
+        unsafe_filters = ["pprint", "tojson", "urlize", "xmlattr"]
+        for f in unsafe_filters:
+            if f in self.env.filters:
+                del self.env.filters[f]
+
+        self.env.filters["format"] = format_filter_for_jinja2
+
+        # Define allowed CSS properties (sorted alphabetically, if you add more)
+        allowed_css_properties = [
+            "background-color",
+            "border",
+            "border-bottom",
+            "border-color",
+            "border-left",
+            "border-radius",
+            "border-right",
+            "border-style",
+            "border-top",
+            "border-width",
+            "bottom",
+            "box-shadow",
+            "clear",
+            "color",
+            "display",
+            "float",
+            "font-family",
+            "font-size",
+            "font-weight",
+            "height",
+            "left",
+            "letter-spacing",
+            "line-height",
+            "margin-bottom",
+            "margin-left",
+            "margin-right",
+            "margin-top",
+            "padding",
+            "position",
+            "right",
+            "text-align",
+            "text-decoration",
+            "text-shadow",
+            "text-transform",
+            "top",
+            "width",
+        ]
+
+        self.css_sanitizer = CSSSanitizer(allowed_css_properties=allowed_css_properties)
+
+        # Define allowed tags (sorted alphabetically, if you add more)
+        self.allowed_tags = [
+            "a",
+            "b",
+            "br",
+            "div",
+            "em",
+            "h1",
+            "h2",
+            "h3",
+            "h4",
+            "h5",
+            "i",
+            "img",
+            "li",
+            "p",
+            "span",
+            "strong",
+            "u",
+            "ul",
+        ]
+
+        # Define allowed attributes to be used on specific tags
+        self.allowed_attributes = {
+            "*": ["class", "style"],
+            "a": ["href"],
+            "img": ["src"],
+        }
+
     def format_string(self, template_str: str, values=None, **kwargs) -> str:
-        # For python.format compatibility: replace all {...} with {{..}}.
-        # But avoid replacing {{...}} to {{{...}}}.
-        template_str = re.sub(r"(?<!{){[ a-zA-Z0-9_]+}", r"{\g<0>}", template_str)
+        """Regular template rendering with escaping"""
         template = self.env.from_string(template_str)
         return template.render(values or {}, **kwargs)
+
+    def format_email(
+        self,
+        subject_template: str,
+        base_template: str,
+        content_template: str,
+        data=None,
+        **kwargs,
+    ) -> tuple[str, str]:
+        """
+        Special handling for email templates where content needs to be rendered as HTML
+        """
+        # First render the content template
+        content = self.format_string(content_template, data, **kwargs)
+
+        # Clean the HTML + CSS but don't escape it
+        clean_content = bleach.clean(
+            content,
+            tags=self.allowed_tags,
+            attributes=self.allowed_attributes,
+            css_sanitizer=self.css_sanitizer,
+            strip=True,
+        )
+
+        # Mark the cleaned HTML as safe using Markup
+        safe_content = Markup(clean_content)
+
+        # Render subject
+        rendered_subject_template = self.format_string(subject_template, data, **kwargs)
+
+        # Create new env just for HTML template
+        html_env = SandboxedEnvironment(loader=BaseLoader(), autoescape=True)
+        html_env.filters["safe"] = lambda x: (
+            x if isinstance(x, Markup) else Markup(str(x))
+        )
+
+        # Render base template with the safe content
+        template = html_env.from_string(base_template)
+        rendered_base_template = template.render(
+            data={
+                "message": safe_content,
+                "title": rendered_subject_template,
+                "unsubscribe_link": kwargs.get("unsubscribe_link", ""),
+            }
+        )
+
+        return rendered_subject_template, rendered_base_template
diff --git a/autogpt_platform/backend/backend/util/timezone_name.py b/autogpt_platform/backend/backend/util/timezone_name.py
new file mode 100644
index 000000000000..1bd4caf1960a
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/timezone_name.py
@@ -0,0 +1,115 @@
+"""
+Time zone name validation and serialization.
+
+This file is adapted from pydantic-extra-types:
+https://github.com/pydantic/pydantic-extra-types/blob/main/pydantic_extra_types/timezone_name.py
+
+The MIT License (MIT)
+
+Copyright (c) 2023 Samuel Colvin and other contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+Modifications:
+- Modified to always use pytz for timezone data to ensure consistency across environments
+- Removed zoneinfo support to prevent environment-specific timezone lists
+"""
+
+from __future__ import annotations
+
+from typing import Any, Callable, cast
+
+import pytz
+from pydantic import GetCoreSchemaHandler, GetJsonSchemaHandler
+from pydantic_core import PydanticCustomError, core_schema
+
+# Cache the timezones at module level to avoid repeated computation
+ALL_TIMEZONES: set[str] = set(pytz.all_timezones)
+
+
+def get_timezones() -> set[str]:
+    """Get timezones from pytz for consistency across all environments."""
+    # Return cached timezone set
+    return ALL_TIMEZONES
+
+
+class TimeZoneNameSettings(type):
+    def __new__(
+        cls, name: str, bases: tuple[type, ...], dct: dict[str, Any], **kwargs: Any
+    ) -> type[TimeZoneName]:
+        dct["strict"] = kwargs.pop("strict", True)
+        return cast("type[TimeZoneName]", super().__new__(cls, name, bases, dct))
+
+    def __init__(
+        cls, name: str, bases: tuple[type, ...], dct: dict[str, Any], **kwargs: Any
+    ) -> None:
+        super().__init__(name, bases, dct)
+        cls.strict = kwargs.get("strict", True)
+
+
+def timezone_name_settings(
+    **kwargs: Any,
+) -> Callable[[type[TimeZoneName]], type[TimeZoneName]]:
+    def wrapper(cls: type[TimeZoneName]) -> type[TimeZoneName]:
+        cls.strict = kwargs.get("strict", True)
+        return cls
+
+    return wrapper
+
+
+@timezone_name_settings(strict=True)
+class TimeZoneName(str):
+    """TimeZoneName is a custom string subclass for validating and serializing timezone names."""
+
+    __slots__: list[str] = []
+    allowed_values: set[str] = set(get_timezones())
+    allowed_values_list: list[str] = sorted(allowed_values)
+    allowed_values_upper_to_correct: dict[str, str] = {
+        val.upper(): val for val in allowed_values
+    }
+    strict: bool
+
+    @classmethod
+    def _validate(
+        cls, __input_value: str, _: core_schema.ValidationInfo
+    ) -> TimeZoneName:
+        if __input_value not in cls.allowed_values:
+            if not cls.strict:
+                upper_value = __input_value.strip().upper()
+                if upper_value in cls.allowed_values_upper_to_correct:
+                    return cls(cls.allowed_values_upper_to_correct[upper_value])
+            raise PydanticCustomError("TimeZoneName", "Invalid timezone name.")
+        return cls(__input_value)
+
+    @classmethod
+    def __get_pydantic_core_schema__(
+        cls, _: type[Any], __: GetCoreSchemaHandler
+    ) -> core_schema.AfterValidatorFunctionSchema:
+        return core_schema.with_info_after_validator_function(
+            cls._validate,
+            core_schema.str_schema(min_length=1),
+        )
+
+    @classmethod
+    def __get_pydantic_json_schema__(
+        cls, schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
+    ) -> dict[str, Any]:
+        json_schema = handler(schema)
+        json_schema.update({"enum": cls.allowed_values_list})
+        return json_schema
diff --git a/autogpt_platform/backend/backend/util/timezone_utils.py b/autogpt_platform/backend/backend/util/timezone_utils.py
new file mode 100644
index 000000000000..6a6c438085e4
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/timezone_utils.py
@@ -0,0 +1,148 @@
+"""
+Timezone conversion utilities for API endpoints.
+Handles conversion between user timezones and UTC for scheduler operations.
+"""
+
+import logging
+from datetime import datetime
+from typing import Optional
+from zoneinfo import ZoneInfo
+
+from croniter import croniter
+
+logger = logging.getLogger(__name__)
+
+
+def convert_cron_to_utc(cron_expr: str, user_timezone: str) -> str:
+    """
+    Convert a cron expression from user timezone to UTC.
+
+    NOTE: This is a simplified conversion that only adjusts minute and hour fields.
+    Complex cron expressions with specific day/month/weekday patterns may not
+    convert accurately due to timezone offset variations throughout the year.
+
+    Args:
+        cron_expr: Cron expression in user timezone
+        user_timezone: User's IANA timezone identifier
+
+    Returns:
+        Cron expression adjusted for UTC execution
+
+    Raises:
+        ValueError: If timezone or cron expression is invalid
+    """
+    try:
+        user_tz = ZoneInfo(user_timezone)
+        utc_tz = ZoneInfo("UTC")
+
+        # Split the cron expression into its five fields
+        cron_fields = cron_expr.strip().split()
+        if len(cron_fields) != 5:
+            raise ValueError(
+                "Cron expression must have 5 fields (minute hour day month weekday)"
+            )
+
+        # Get the current time in the user's timezone
+        now_user = datetime.now(user_tz)
+
+        # Get the next scheduled time in user timezone
+        cron = croniter(cron_expr, now_user)
+        next_user_time = cron.get_next(datetime)
+
+        # Convert to UTC
+        next_utc_time = next_user_time.astimezone(utc_tz)
+
+        # Adjust minute and hour fields for UTC, keep day/month/weekday as in original
+        utc_cron_parts = [
+            str(next_utc_time.minute),
+            str(next_utc_time.hour),
+            cron_fields[2],  # day of month
+            cron_fields[3],  # month
+            cron_fields[4],  # day of week
+        ]
+
+        utc_cron = " ".join(utc_cron_parts)
+
+        logger.debug(
+            f"Converted cron '{cron_expr}' from {user_timezone} to UTC: '{utc_cron}'"
+        )
+        return utc_cron
+
+    except Exception as e:
+        logger.error(
+            f"Failed to convert cron expression '{cron_expr}' from {user_timezone} to UTC: {e}"
+        )
+        raise ValueError(f"Invalid cron expression or timezone: {e}")
+
+
+def convert_utc_time_to_user_timezone(utc_time_str: str, user_timezone: str) -> str:
+    """
+    Convert a UTC datetime string to user timezone.
+
+    Args:
+        utc_time_str: ISO format datetime string in UTC
+        user_timezone: User's IANA timezone identifier
+
+    Returns:
+        ISO format datetime string in user timezone
+    """
+    try:
+        # Parse the time string
+        parsed_time = datetime.fromisoformat(utc_time_str.replace("Z", "+00:00"))
+
+        user_tz = ZoneInfo(user_timezone)
+
+        # If the time already has timezone info, convert it to user timezone
+        if parsed_time.tzinfo is not None:
+            # Convert to user timezone regardless of source timezone
+            user_time = parsed_time.astimezone(user_tz)
+            return user_time.isoformat()
+
+        # If no timezone info, treat as UTC and convert to user timezone
+        parsed_time = parsed_time.replace(tzinfo=ZoneInfo("UTC"))
+        user_time = parsed_time.astimezone(user_tz)
+        return user_time.isoformat()
+
+    except Exception as e:
+        logger.error(
+            f"Failed to convert UTC time '{utc_time_str}' to {user_timezone}: {e}"
+        )
+        # Return original time if conversion fails
+        return utc_time_str
+
+
+def validate_timezone(timezone: str) -> bool:
+    """
+    Validate if a timezone string is a valid IANA timezone identifier.
+
+    Args:
+        timezone: Timezone string to validate
+
+    Returns:
+        True if valid, False otherwise
+    """
+    try:
+        ZoneInfo(timezone)
+        return True
+    except Exception:
+        return False
+
+
+def get_user_timezone_or_utc(user_timezone: Optional[str]) -> str:
+    """
+    Get user timezone or default to UTC if invalid/missing.
+
+    Args:
+        user_timezone: User's timezone preference
+
+    Returns:
+        Valid timezone string (user's preference or UTC fallback)
+    """
+    if not user_timezone or user_timezone == "not-set":
+        return "UTC"
+
+    if validate_timezone(user_timezone):
+        return user_timezone
+
+    logger.warning(f"Invalid user timezone '{user_timezone}', falling back to UTC")
+    return "UTC"
diff --git a/autogpt_platform/backend/backend/util/truncate.py b/autogpt_platform/backend/backend/util/truncate.py
new file mode 100644
index 000000000000..cf7de9f8feb7
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/truncate.py
@@ -0,0 +1,128 @@
+import sys
+from typing import Any
+
+# ---------------------------------------------------------------------------
+#  String helpers
+# ---------------------------------------------------------------------------
+
+
+def _truncate_string_middle(value: str, limit: int) -> str:
+    """Shorten *value* to *limit* chars by removing the **middle** portion."""
+
+    if len(value) <= limit:
+        return value
+
+    head_len = max(1, limit // 2)
+    tail_len = limit - head_len  # ensures total == limit
+    omitted = len(value) - (head_len + tail_len)
+    return f"{value[:head_len]}… (omitted {omitted} chars)…{value[-tail_len:]}"
+
+
+# ---------------------------------------------------------------------------
+#  List helpers
+# ---------------------------------------------------------------------------
+
+
+def _truncate_list_middle(lst: list[Any], str_lim: int, list_lim: int) -> list[Any]:
+    """Return *lst* truncated to *list_lim* items, removing from the middle.
+
+    Each retained element is itself recursively truncated via
+    :func:`_truncate_value` so we don’t blow the budget with long strings nested
+    inside.
+    """
+
+    if len(lst) <= list_lim:
+        return [_truncate_value(v, str_lim, list_lim) for v in lst]
+
+    # If the limit is very small (<3) fall back to head‑only + sentinel to avoid
+    # degenerate splits.
+    if list_lim < 3:
+        kept = [_truncate_value(v, str_lim, list_lim) for v in lst[:list_lim]]
+        kept.append(f"… (omitted {len(lst) - list_lim} items)…")
+        return kept
+
+    head_len = list_lim // 2
+    tail_len = list_lim - head_len
+
+    head = [_truncate_value(v, str_lim, list_lim) for v in lst[:head_len]]
+    tail = [_truncate_value(v, str_lim, list_lim) for v in lst[-tail_len:]]
+
+    omitted = len(lst) - (head_len + tail_len)
+    sentinel = f"… (omitted {omitted} items)…"
+    return head + [sentinel] + tail
+
+
+# ---------------------------------------------------------------------------
+#  Recursive truncation
+# ---------------------------------------------------------------------------
+
+
+def _truncate_value(value: Any, str_limit: int, list_limit: int) -> Any:
+    """Recursively truncate *value* using the current per‑type limits."""
+
+    if isinstance(value, str):
+        return _truncate_string_middle(value, str_limit)
+
+    if isinstance(value, list):
+        return _truncate_list_middle(value, str_limit, list_limit)
+
+    if isinstance(value, dict):
+        return {k: _truncate_value(v, str_limit, list_limit) for k, v in value.items()}
+
+    return value
+
+
+def truncate(value: Any, size_limit: int) -> Any:
+    """
+    Truncate the given value (recursively) so that its string representation
+    does not exceed size_limit characters. Uses binary search to find the
+    largest str_limit and list_limit that fit.
+    """
+
+    def measure(val):
+        try:
+            return len(str(val))
+        except Exception:
+            return sys.getsizeof(val)
+
+    # Reasonable bounds for string and list limits
+    STR_MIN, STR_MAX = 8, 2**16
+    LIST_MIN, LIST_MAX = 1, 2**12
+
+    # Binary search for the largest str_limit and list_limit that fit
+    best = None
+
+    # We'll search str_limit first, then list_limit, but can do both together
+    # For practical purposes, do a grid search with binary search on str_limit for each list_limit
+    # (since lists are usually the main source of bloat)
+    # We'll do binary search on list_limit, and for each, binary search on str_limit
+
+    # Outer binary search on list_limit
+    l_lo, l_hi = LIST_MIN, LIST_MAX
+    while l_lo <= l_hi:
+        l_mid = (l_lo + l_hi) // 2
+
+        # Inner binary search on str_limit
+        s_lo, s_hi = STR_MIN, STR_MAX
+        local_best = None
+        while s_lo <= s_hi:
+            s_mid = (s_lo + s_hi) // 2
+            truncated = _truncate_value(value, s_mid, l_mid)
+            size = measure(truncated)
+            if size <= size_limit:
+                local_best = truncated
+                s_lo = s_mid + 1  # try to increase str_limit
+            else:
+                s_hi = s_mid - 1  # decrease str_limit
+
+        if local_best is not None:
+            best = local_best
+            l_lo = l_mid + 1  # try to increase list_limit
+        else:
+            l_hi = l_mid - 1  # decrease list_limit
+
+    # If nothing fits, fall back to the most aggressive truncation
+    if best is None:
+        best = _truncate_value(value, STR_MIN, LIST_MIN)
+
+    return best
diff --git a/autogpt_platform/backend/backend/util/type.py b/autogpt_platform/backend/backend/util/type.py
index 2c480b674d8f..e1cda80203a9 100644
--- a/autogpt_platform/backend/backend/util/type.py
+++ b/autogpt_platform/backend/backend/util/type.py
@@ -1,5 +1,8 @@
 import json
-from typing import Any, Type, TypeVar, cast, get_args, get_origin
+import types
+from typing import Any, Type, TypeVar, Union, cast, get_args, get_origin, overload
+
+from prisma import Json as PrismaJson
 
 
 class ConversionError(ValueError):
@@ -102,9 +105,37 @@ def __convert_bool(value: Any) -> bool:
         return bool(value)
 
 
-def _try_convert(value: Any, target_type: Type, raise_on_mismatch: bool) -> Any:
+def _try_convert(value: Any, target_type: Any, raise_on_mismatch: bool) -> Any:
     origin = get_origin(target_type)
     args = get_args(target_type)
+
+    # Handle Union types (including Optional which is Union[T, None])
+    if origin is Union or origin is types.UnionType:
+        # Handle None values for Optional types
+        if value is None:
+            if type(None) in args:
+                return None
+            elif raise_on_mismatch:
+                raise TypeError(f"Value {value} is not of expected type {target_type}")
+            else:
+                return value
+
+        # Try to convert to each type in the union, excluding None
+        non_none_types = [arg for arg in args if arg is not type(None)]
+
+        # Try each type in the union, using the original raise_on_mismatch behavior
+        for arg_type in non_none_types:
+            try:
+                return _try_convert(value, arg_type, raise_on_mismatch)
+            except (TypeError, ValueError, ConversionError):
+                continue
+
+        # If no conversion succeeded
+        if raise_on_mismatch:
+            raise TypeError(f"Value {value} is not of expected type {target_type}")
+        else:
+            return value
+
     if origin is None:
         origin = target_type
     if origin not in [list, dict, tuple, str, set, int, float, bool]:
@@ -180,14 +211,61 @@ def _try_convert(value: Any, target_type: Type, raise_on_mismatch: bool) -> Any:
 
 
 T = TypeVar("T")
+TT = TypeVar("TT")
 
 
 def type_match(value: Any, target_type: Type[T]) -> T:
     return cast(T, _try_convert(value, target_type, raise_on_mismatch=True))
 
 
-def convert(value: Any, target_type: Type[T]) -> T:
+@overload
+def convert(value: Any, target_type: Type[T]) -> T: ...
+
+
+@overload
+def convert(value: Any, target_type: Any) -> Any: ...
+
+
+def convert(value: Any, target_type: Any) -> Any:
     try:
-        return cast(T, _try_convert(value, target_type, raise_on_mismatch=False))
+        if isinstance(value, PrismaJson):
+            value = value.data
+        return _try_convert(value, target_type, raise_on_mismatch=False)
     except Exception as e:
         raise ConversionError(f"Failed to convert {value} to {target_type}") from e
+
+
+class FormattedStringType(str):
+    string_format: str
+
+    @classmethod
+    def __get_pydantic_core_schema__(cls, source_type, handler):
+        _ = source_type  # unused parameter required by pydantic
+        return handler(str)
+
+    @classmethod
+    def __get_pydantic_json_schema__(cls, core_schema, handler):
+        json_schema = handler(core_schema)
+        json_schema["format"] = cls.string_format
+        return json_schema
+
+
+class MediaFileType(FormattedStringType):
+    """
+    MediaFile is a string that represents a file. It can be one of the following:
+        - Data URI: base64 encoded media file. See https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data/
+        - URL: Media file hosted on the internet, it starts with http:// or https://.
+        - Local path (anything else): A temporary file path living within graph execution time.
+
+    Note: Replace this type alias into a proper class, when more information is needed.
+    """
+
+    string_format = "file"
+
+
+class LongTextType(FormattedStringType):
+    string_format = "long-text"
+
+
+class ShortTextType(FormattedStringType):
+    string_format = "short-text"
diff --git a/autogpt_platform/backend/backend/util/type_test.py b/autogpt_platform/backend/backend/util/type_test.py
new file mode 100644
index 000000000000..becadf48b247
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/type_test.py
@@ -0,0 +1,34 @@
+from typing import List, Optional
+
+from backend.util.type import convert
+
+
+def test_type_conversion():
+    assert convert(5.5, int) == 5
+    assert convert("5.5", int) == 5
+    assert convert([1, 2, 3], int) == 3
+    assert convert("7", Optional[int]) == 7
+    assert convert("7", int | None) == 7
+
+    assert convert("5.5", float) == 5.5
+    assert convert(5, float) == 5.0
+
+    assert convert("True", bool) is True
+    assert convert("False", bool) is False
+
+    assert convert(5, str) == "5"
+    assert convert({"a": 1, "b": 2}, str) == '{"a": 1, "b": 2}'
+    assert convert([1, 2, 3], str) == "[1, 2, 3]"
+
+    assert convert("5", list) == ["5"]
+    assert convert((1, 2, 3), list) == [1, 2, 3]
+    assert convert({1, 2, 3}, list) == [1, 2, 3]
+
+    assert convert("5", dict) == {"value": 5}
+    assert convert('{"a": 1, "b": 2}', dict) == {"a": 1, "b": 2}
+    assert convert([1, 2, 3], dict) == {0: 1, 1: 2, 2: 3}
+    assert convert((1, 2, 3), dict) == {0: 1, 1: 2, 2: 3}
+
+    assert convert("5", List[int]) == [5]
+    assert convert("[5,4,2]", List[int]) == [5, 4, 2]
+    assert convert([5, 4, 2], List[str]) == ["5", "4", "2"]
diff --git a/autogpt_platform/backend/backend/util/virus_scanner.py b/autogpt_platform/backend/backend/util/virus_scanner.py
new file mode 100644
index 000000000000..4494c9479065
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/virus_scanner.py
@@ -0,0 +1,209 @@
+import asyncio
+import io
+import logging
+import time
+from typing import Optional, Tuple
+
+import aioclamd
+from pydantic import BaseModel
+from pydantic_settings import BaseSettings
+
+from backend.util.settings import Settings
+
+logger = logging.getLogger(__name__)
+settings = Settings()
+
+
+class VirusScanResult(BaseModel):
+    is_clean: bool
+    scan_time_ms: int
+    file_size: int
+    threat_name: Optional[str] = None
+
+
+class VirusScannerSettings(BaseSettings):
+    # Tunables for the scanner layer (NOT the ClamAV daemon).
+    clamav_service_host: str = "localhost"
+    clamav_service_port: int = 3310
+    clamav_service_timeout: int = 60
+    clamav_service_enabled: bool = True
+    # If the service is disabled, all files are considered clean.
+    mark_failed_scans_as_clean: bool = False
+    # Client-side protective limits
+    max_scan_size: int = 2 * 1024 * 1024 * 1024  # 2 GB guard-rail in memory
+    min_chunk_size: int = 128 * 1024  # 128 KB hard floor
+    max_retries: int = 8  # halve ≤ max_retries times
+    # Concurrency throttle toward the ClamAV daemon.  Do *NOT* simply turn this
+    # up to the number of CPU cores; keep it ≤ (MaxThreads / pods) – 1.
+    max_concurrency: int = 5
+
+
+class VirusScannerService:
+    """Fully-async ClamAV wrapper using **aioclamd**.
+
+    • Reuses a single `ClamdAsyncClient` connection (aioclamd keeps the socket open).
+    • Throttles concurrent `INSTREAM` calls with an `asyncio.Semaphore` so we don't exhaust daemon worker threads or file descriptors.
+    • Falls back to progressively smaller chunk sizes when the daemon rejects a stream as too large.
+    """
+
+    def __init__(self, settings: VirusScannerSettings) -> None:
+        self.settings = settings
+        self._client = aioclamd.ClamdAsyncClient(
+            host=settings.clamav_service_host,
+            port=settings.clamav_service_port,
+            timeout=settings.clamav_service_timeout,
+        )
+        self._sem = asyncio.Semaphore(settings.max_concurrency)
+
+    # ------------------------------------------------------------------ #
+    # Helpers
+    # ------------------------------------------------------------------ #
+
+    @staticmethod
+    def _parse_raw(raw: Optional[dict]) -> Tuple[bool, Optional[str]]:
+        """
+        Convert aioclamd output to (infected?, threat_name).
+        Returns (False, None) for clean.
+        """
+        if not raw:
+            return False, None
+        status, threat = next(iter(raw.values()))
+        return status == "FOUND", threat
+
+    async def _instream(self, chunk: bytes) -> Tuple[bool, Optional[str]]:
+        """Scan **one** chunk with concurrency control."""
+        async with self._sem:
+            try:
+                raw = await self._client.instream(io.BytesIO(chunk))
+                return self._parse_raw(raw)
+            except (BrokenPipeError, ConnectionResetError) as exc:
+                raise RuntimeError("size-limit") from exc
+            except Exception as exc:
+                if "INSTREAM size limit exceeded" in str(exc):
+                    raise RuntimeError("size-limit") from exc
+                raise
+
+    # ------------------------------------------------------------------ #
+    # Public API
+    # ------------------------------------------------------------------ #
+
+    async def scan_file(
+        self, content: bytes, *, filename: str = "unknown"
+    ) -> VirusScanResult:
+        """
+        Scan `content`.  Returns a result object or raises on infrastructure
+        failure (unreachable daemon, etc.).
+        The algorithm always tries whole-file first. If the daemon refuses
+        on size grounds, it falls back to chunked parallel scanning.
+        """
+        if not self.settings.clamav_service_enabled:
+            logger.warning(f"Virus scanning disabled – accepting {filename}")
+            return VirusScanResult(
+                is_clean=True, scan_time_ms=0, file_size=len(content)
+            )
+        if len(content) > self.settings.max_scan_size:
+            logger.warning(
+                f"File {filename} ({len(content)} bytes) exceeds client max scan size ({self.settings.max_scan_size}); Stopping virus scan"
+            )
+            return VirusScanResult(
+                is_clean=self.settings.mark_failed_scans_as_clean,
+                file_size=len(content),
+                scan_time_ms=0,
+            )
+
+        # Ensure daemon is reachable (small RTT check)
+        if not await self._client.ping():
+            raise RuntimeError("ClamAV service is unreachable")
+
+        start = time.monotonic()
+        chunk_size = len(content)  # Start with full content length
+        for retry in range(self.settings.max_retries):
+            # For small files, don't check min_chunk_size limit
+            if chunk_size < self.settings.min_chunk_size and chunk_size < len(content):
+                break
+            logger.debug(
+                f"Scanning {filename} with chunk size: {chunk_size // 1_048_576} MB (retry {retry + 1}/{self.settings.max_retries})"
+            )
+            try:
+                tasks = [
+                    asyncio.create_task(self._instream(content[o : o + chunk_size]))
+                    for o in range(0, len(content), chunk_size)
+                ]
+                for coro in asyncio.as_completed(tasks):
+                    infected, threat = await coro
+                    if infected:
+                        for t in tasks:
+                            if not t.done():
+                                t.cancel()
+                        return VirusScanResult(
+                            is_clean=False,
+                            threat_name=threat,
+                            file_size=len(content),
+                            scan_time_ms=int((time.monotonic() - start) * 1000),
+                        )
+                # All chunks clean
+                return VirusScanResult(
+                    is_clean=True,
+                    file_size=len(content),
+                    scan_time_ms=int((time.monotonic() - start) * 1000),
+                )
+            except RuntimeError as exc:
+                if str(exc) == "size-limit":
+                    chunk_size //= 2
+                    continue
+                logger.error(f"Cannot scan {filename}: {exc}")
+                raise
+        # Phase 3 – give up but warn
+        logger.warning(
+            f"Unable to virus scan {filename} ({len(content)} bytes) even with minimum chunk size ({self.settings.min_chunk_size} bytes). Recommend manual review."
+        )
+        return VirusScanResult(
+            is_clean=self.settings.mark_failed_scans_as_clean,
+            file_size=len(content),
+            scan_time_ms=int((time.monotonic() - start) * 1000),
+        )
+
+
+_scanner: Optional[VirusScannerService] = None
+
+
+def get_virus_scanner() -> VirusScannerService:
+    global _scanner
+    if _scanner is None:
+        _settings = VirusScannerSettings(
+            clamav_service_host=settings.config.clamav_service_host,
+            clamav_service_port=settings.config.clamav_service_port,
+            clamav_service_enabled=settings.config.clamav_service_enabled,
+            max_concurrency=settings.config.clamav_max_concurrency,
+            mark_failed_scans_as_clean=settings.config.clamav_mark_failed_scans_as_clean,
+        )
+        _scanner = VirusScannerService(_settings)
+    return _scanner
+
+
+async def scan_content_safe(content: bytes, *, filename: str = "unknown") -> None:
+    """
+    Helper function to scan content and raise appropriate exceptions.
+
+    Raises:
+        VirusDetectedError: If virus is found
+        VirusScanError: If scanning fails
+    """
+    from backend.server.v2.store.exceptions import VirusDetectedError, VirusScanError
+
+    try:
+        result = await get_virus_scanner().scan_file(content, filename=filename)
+        if not result.is_clean:
+            threat_name = result.threat_name or "Unknown threat"
+            logger.warning(f"Virus detected in file {filename}: {threat_name}")
+            raise VirusDetectedError(
+                threat_name, f"File rejected due to virus detection: {threat_name}"
+            )
+
+        logger.info(f"File {filename} passed virus scan in {result.scan_time_ms}ms")
+
+    except VirusDetectedError:
+        raise
+    except Exception as e:
+        logger.error(f"Virus scanning failed for {filename}: {str(e)}")
+        raise VirusScanError(f"Virus scanning failed: {str(e)}") from e
diff --git a/autogpt_platform/backend/backend/util/virus_scanner_test.py b/autogpt_platform/backend/backend/util/virus_scanner_test.py
new file mode 100644
index 000000000000..81b5ad334276
--- /dev/null
+++ b/autogpt_platform/backend/backend/util/virus_scanner_test.py
@@ -0,0 +1,253 @@
+import asyncio
+from unittest.mock import AsyncMock, Mock, patch
+
+import pytest
+
+from backend.server.v2.store.exceptions import VirusDetectedError, VirusScanError
+from backend.util.virus_scanner import (
+    VirusScannerService,
+    VirusScannerSettings,
+    VirusScanResult,
+    get_virus_scanner,
+    scan_content_safe,
+)
+
+
+class TestVirusScannerService:
+    @pytest.fixture
+    def scanner_settings(self):
+        return VirusScannerSettings(
+            clamav_service_host="localhost",
+            clamav_service_port=3310,
+            clamav_service_enabled=True,
+            max_scan_size=10 * 1024 * 1024,  # 10MB for testing
+            mark_failed_scans_as_clean=False,  # For testing, failed scans should be clean
+        )
+
+    @pytest.fixture
+    def scanner(self, scanner_settings):
+        return VirusScannerService(scanner_settings)
+
+    @pytest.fixture
+    def disabled_scanner(self):
+        settings = VirusScannerSettings(clamav_service_enabled=False)
+        return VirusScannerService(settings)
+
+    def test_scanner_initialization(self, scanner_settings):
+        scanner = VirusScannerService(scanner_settings)
+        assert scanner.settings.clamav_service_host == "localhost"
+        assert scanner.settings.clamav_service_port == 3310
+        assert scanner.settings.clamav_service_enabled is True
+
+    @pytest.mark.asyncio
+    async def test_scan_disabled_returns_clean(self, disabled_scanner):
+        content = b"test file content"
+        result = await disabled_scanner.scan_file(content, filename="test.txt")
+
+        assert result.is_clean is True
+        assert result.threat_name is None
+        assert result.file_size == len(content)
+        assert result.scan_time_ms == 0
+
+    @pytest.mark.asyncio
+    async def test_scan_file_too_large(self, scanner):
+        # Create content larger than max_scan_size
+        large_content = b"x" * (scanner.settings.max_scan_size + 1)
+
+        # Large files behavior depends on mark_failed_scans_as_clean setting
+        result = await scanner.scan_file(large_content, filename="large_file.txt")
+        assert result.is_clean == scanner.settings.mark_failed_scans_as_clean
+        assert result.file_size == len(large_content)
+        assert result.scan_time_ms == 0
+
+    @pytest.mark.asyncio
+    async def test_scan_file_too_large_both_configurations(self):
+        """Test large file handling with both mark_failed_scans_as_clean configurations"""
+        large_content = b"x" * (10 * 1024 * 1024 + 1)  # Larger than 10MB
+
+        # Test with mark_failed_scans_as_clean=True
+        settings_clean = VirusScannerSettings(
+            max_scan_size=10 * 1024 * 1024, mark_failed_scans_as_clean=True
+        )
+        scanner_clean = VirusScannerService(settings_clean)
+        result_clean = await scanner_clean.scan_file(
+            large_content, filename="large_file.txt"
+        )
+        assert result_clean.is_clean is True
+
+        # Test with mark_failed_scans_as_clean=False
+        settings_dirty = VirusScannerSettings(
+            max_scan_size=10 * 1024 * 1024, mark_failed_scans_as_clean=False
+        )
+        scanner_dirty = VirusScannerService(settings_dirty)
+        result_dirty = await scanner_dirty.scan_file(
+            large_content, filename="large_file.txt"
+        )
+        assert result_dirty.is_clean is False
+
+    # Note: ping method was removed from current implementation
+
+    @pytest.mark.asyncio
+    async def test_scan_clean_file(self, scanner):
+        async def mock_instream(_):
+            await asyncio.sleep(0.001)  # Small delay to ensure timing > 0
+            return None  # No virus detected
+
+        mock_client = Mock()
+        mock_client.ping = AsyncMock(return_value=True)
+        mock_client.instream = AsyncMock(side_effect=mock_instream)
+
+        # Replace the client instance that was created in the constructor
+        scanner._client = mock_client
+
+        content = b"clean file content"
+        result = await scanner.scan_file(content, filename="clean.txt")
+
+        assert result.is_clean is True
+        assert result.threat_name is None
+        assert result.file_size == len(content)
+        assert result.scan_time_ms > 0
+
+    @pytest.mark.asyncio
+    async def test_scan_infected_file(self, scanner):
+        async def mock_instream(_):
+            await asyncio.sleep(0.001)  # Small delay to ensure timing > 0
+            return {"stream": ("FOUND", "Win.Test.EICAR_HDB-1")}
+
+        mock_client = Mock()
+        mock_client.ping = AsyncMock(return_value=True)
+        mock_client.instream = AsyncMock(side_effect=mock_instream)
+
+        # Replace the client instance that was created in the constructor
+        scanner._client = mock_client
+
+        content = b"infected file content"
+        result = await scanner.scan_file(content, filename="infected.txt")
+
+        assert result.is_clean is False
+        assert result.threat_name == "Win.Test.EICAR_HDB-1"
+        assert result.file_size == len(content)
+        assert result.scan_time_ms > 0
+
+    @pytest.mark.asyncio
+    async def test_scan_clamav_unavailable_fail_safe(self, scanner):
+        mock_client = Mock()
+        mock_client.ping = AsyncMock(return_value=False)
+
+        # Replace the client instance that was created in the constructor
+        scanner._client = mock_client
+
+        content = b"test content"
+
+        with pytest.raises(RuntimeError, match="ClamAV service is unreachable"):
+            await scanner.scan_file(content, filename="test.txt")
+
+    @pytest.mark.asyncio
+    async def test_scan_error_fail_safe(self, scanner):
+        mock_client = Mock()
+        mock_client.ping = AsyncMock(return_value=True)
+        mock_client.instream = AsyncMock(side_effect=Exception("Scanning error"))
+
+        # Replace the client instance that was created in the constructor
+        scanner._client = mock_client
+
+        content = b"test content"
+
+        with pytest.raises(Exception, match="Scanning error"):
+            await scanner.scan_file(content, filename="test.txt")
+
+    # Note: scan_file_method and scan_upload_file tests removed as these APIs don't exist in current implementation
+
+    def test_get_virus_scanner_singleton(self):
+        scanner1 = get_virus_scanner()
+        scanner2 = get_virus_scanner()
+
+        # Should return the same instance
+        assert scanner1 is scanner2
+
+    # Note: client_reuse test removed as _get_client method doesn't exist in current implementation
+
+    def test_scan_result_model(self):
+        # Test VirusScanResult model
+        result = VirusScanResult(
+            is_clean=False, threat_name="Test.Virus", scan_time_ms=150, file_size=1024
+        )
+
+        assert result.is_clean is False
+        assert result.threat_name == "Test.Virus"
+        assert result.scan_time_ms == 150
+        assert result.file_size == 1024
+
+    @pytest.mark.asyncio
+    async def test_concurrent_scans(self, scanner):
+        async def mock_instream(_):
+            await asyncio.sleep(0.001)  # Small delay to ensure timing > 0
+            return None
+
+        mock_client = Mock()
+        mock_client.ping = AsyncMock(return_value=True)
+        mock_client.instream = AsyncMock(side_effect=mock_instream)
+
+        # Replace the client instance that was created in the constructor
+        scanner._client = mock_client
+
+        content1 = b"file1 content"
+        content2 = b"file2 content"
+
+        # Run concurrent scans
+        results = await asyncio.gather(
+            scanner.scan_file(content1, filename="file1.txt"),
+            scanner.scan_file(content2, filename="file2.txt"),
+        )
+
+        assert len(results) == 2
+        assert all(result.is_clean for result in results)
+        assert results[0].file_size == len(content1)
+        assert results[1].file_size == len(content2)
+        assert all(result.scan_time_ms > 0 for result in results)
+
+
+class TestHelperFunctions:
+    """Test the helper functions scan_content_safe"""
+
+    @pytest.mark.asyncio
+    async def test_scan_content_safe_clean(self):
+        """Test scan_content_safe with clean content"""
+        with patch("backend.util.virus_scanner.get_virus_scanner") as mock_get_scanner:
+            mock_scanner = Mock()
+            mock_scanner.scan_file = AsyncMock()
+            mock_scanner.scan_file.return_value = Mock(
+                is_clean=True, threat_name=None, scan_time_ms=50, file_size=100
+            )
+            mock_get_scanner.return_value = mock_scanner
+
+            # Should not raise any exception
+            await scan_content_safe(b"clean content", filename="test.txt")
+
+    @pytest.mark.asyncio
+    async def test_scan_content_safe_infected(self):
+        """Test scan_content_safe with infected content"""
+        with patch("backend.util.virus_scanner.get_virus_scanner") as mock_get_scanner:
+            mock_scanner = Mock()
+            mock_scanner.scan_file = AsyncMock()
+            mock_scanner.scan_file.return_value = Mock(
+                is_clean=False, threat_name="Test.Virus", scan_time_ms=50, file_size=100
+            )
+            mock_get_scanner.return_value = mock_scanner
+
+            with pytest.raises(VirusDetectedError) as exc_info:
+                await scan_content_safe(b"infected content", filename="virus.txt")
+
+            assert exc_info.value.threat_name == "Test.Virus"
+
+    @pytest.mark.asyncio
+    async def test_scan_content_safe_scan_error(self):
+        """Test scan_content_safe when scanning fails"""
+        with patch("backend.util.virus_scanner.get_virus_scanner") as mock_get_scanner:
+            mock_scanner = Mock()
+            mock_scanner.scan_file = AsyncMock()
+            mock_scanner.scan_file.side_effect = Exception("Scan failed")
+            mock_get_scanner.return_value = mock_scanner
+
+            with pytest.raises(VirusScanError, match="Virus scanning failed"):
+                await scan_content_safe(b"test content", filename="test.txt")
diff --git a/autogpt_platform/backend/clean_test_db.py b/autogpt_platform/backend/clean_test_db.py
new file mode 100644
index 000000000000..da155c6f75fc
--- /dev/null
+++ b/autogpt_platform/backend/clean_test_db.py
@@ -0,0 +1,101 @@
+#!/usr/bin/env python3
+"""
+Clean the test database by removing all data while preserving the schema.
+
+Usage:
+    poetry run python clean_test_db.py [--yes]
+    
+Options:
+    --yes    Skip confirmation prompt
+"""
+
+import asyncio
+import sys
+
+from prisma import Prisma
+
+
+async def main():
+    db = Prisma()
+    await db.connect()
+
+    print("=" * 60)
+    print("Cleaning Test Database")
+    print("=" * 60)
+    print()
+
+    # Get initial counts
+    user_count = await db.user.count()
+    agent_count = await db.agentgraph.count()
+
+    print(f"Current data: {user_count} users, {agent_count} agent graphs")
+
+    if user_count == 0 and agent_count == 0:
+        print("Database is already clean!")
+        await db.disconnect()
+        return
+
+    # Check for --yes flag
+    skip_confirm = "--yes" in sys.argv
+
+    if not skip_confirm:
+        response = input("\nDo you want to clean all data? (yes/no): ")
+        if response.lower() != "yes":
+            print("Aborted.")
+            await db.disconnect()
+            return
+
+    print("\nCleaning database...")
+
+    # Delete in reverse order of dependencies
+    tables = [
+        ("UserNotificationBatch", db.usernotificationbatch),
+        ("NotificationEvent", db.notificationevent),
+        ("CreditRefundRequest", db.creditrefundrequest),
+        ("StoreListingReview", db.storelistingreview),
+        ("StoreListingVersion", db.storelistingversion),
+        ("StoreListing", db.storelisting),
+        ("AgentNodeExecutionInputOutput", db.agentnodeexecutioninputoutput),
+        ("AgentNodeExecution", db.agentnodeexecution),
+        ("AgentGraphExecution", db.agentgraphexecution),
+        ("AgentNodeLink", db.agentnodelink),
+        ("LibraryAgent", db.libraryagent),
+        ("AgentPreset", db.agentpreset),
+        ("IntegrationWebhook", db.integrationwebhook),
+        ("AgentNode", db.agentnode),
+        ("AgentGraph", db.agentgraph),
+        ("AgentBlock", db.agentblock),
+        ("APIKey", db.apikey),
+        ("CreditTransaction", db.credittransaction),
+        ("AnalyticsMetrics", db.analyticsmetrics),
+        ("AnalyticsDetails", db.analyticsdetails),
+        ("Profile", db.profile),
+        ("UserOnboarding", db.useronboarding),
+        ("User", db.user),
+    ]
+
+    for table_name, table in tables:
+        try:
+            count = await table.count()
+            if count > 0:
+                await table.delete_many()
+                print(f"✓ Deleted {count} records from {table_name}")
+        except Exception as e:
+            print(f"⚠ Error cleaning {table_name}: {e}")
+
+    # Refresh materialized views (they should be empty now)
+    try:
+        await db.execute_raw("SELECT refresh_store_materialized_views();")
+        print("\n✓ Refreshed materialized views")
+    except Exception as e:
+        print(f"\n⚠ Could not refresh materialized views: {e}")
+
+    await db.disconnect()
+
+    print("\n" + "=" * 60)
+    print("Database cleaned successfully!")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/autogpt_platform/backend/docker-compose.test.yaml b/autogpt_platform/backend/docker-compose.test.yaml
index f2a5f1bc2a84..259d52c49748 100644
--- a/autogpt_platform/backend/docker-compose.test.yaml
+++ b/autogpt_platform/backend/docker-compose.test.yaml
@@ -1,32 +1,90 @@
+networks:
+  app-network:
+    name: app-network
+  shared-network:
+    name: shared-network
+
+volumes:
+  supabase-config:
+
+x-agpt-services:
+  &agpt-services
+  networks:
+    - app-network
+    - shared-network
+
+x-supabase-services:
+  &supabase-services
+  networks:
+    - app-network
+    - shared-network
+
+
+volumes:
+  clamav-data:
+
 services:
-  postgres-test:
-    image: ankane/pgvector:latest
-    environment:
-      - POSTGRES_USER=${DB_USER}
-      - POSTGRES_PASSWORD=${DB_PASS}
-      - POSTGRES_DB=${DB_NAME}
-    healthcheck:
-      test: pg_isready -U $$POSTGRES_USER -d $$POSTGRES_DB
-      interval: 10s
-      timeout: 5s
-      retries: 5
+   
+  db:
+    <<: *supabase-services
+    extends:
+      file: ../db/docker/docker-compose.yml
+      service: db
     ports:
-      - "${DB_PORT}:5432"
-    networks:
-      - app-network-test
-  redis-test:
+      - ${POSTGRES_PORT}:5432 # We don't use Supavisor locally, so we expose the db directly.
+
+  vector:
+    <<: *supabase-services
+    extends:
+      file: ../db/docker/docker-compose.yml
+      service: vector
+
+  redis:
+    <<: *agpt-services
     image: redis:latest
     command: redis-server --requirepass password
     ports:
       - "6379:6379"
-    networks:
-      - app-network-test
     healthcheck:
       test: ["CMD", "redis-cli", "ping"]
       interval: 10s
       timeout: 5s
       retries: 5
 
+  rabbitmq:
+    <<: *agpt-services
+    image: rabbitmq:management
+    container_name: rabbitmq
+    healthcheck:
+      test: rabbitmq-diagnostics -q ping
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 10s
+    environment:
+      - RABBITMQ_DEFAULT_USER=rabbitmq_user_default
+      - RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
+    ports:
+      - "5672:5672"
+      - "15672:15672"
+  clamav:
+    image: clamav/clamav-debian:latest
+    ports:
+      - "3310:3310"
+    volumes:
+      - clamav-data:/var/lib/clamav
+    environment:
+      - CLAMAV_NO_FRESHCLAMD=false
+      - CLAMD_CONF_StreamMaxLength=50M
+      - CLAMD_CONF_MaxFileSize=100M
+      - CLAMD_CONF_MaxScanSize=100M
+      - CLAMD_CONF_MaxThreads=12
+      - CLAMD_CONF_ReadTimeout=300
+    healthcheck:
+      test: ["CMD-SHELL", "clamdscan --version || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
 networks:
      app-network-test:
        driver: bridge
diff --git a/autogpt_platform/backend/linter.py b/autogpt_platform/backend/linter.py
index a85fd6e9dc23..a86e6761f7a0 100644
--- a/autogpt_platform/backend/linter.py
+++ b/autogpt_platform/backend/linter.py
@@ -1,5 +1,6 @@
 import os
 import subprocess
+import sys
 
 directory = os.path.dirname(os.path.realpath(__file__))
 
@@ -10,19 +11,37 @@
 
 def run(*command: str) -> None:
     print(f">>>>> Running poetry run {' '.join(command)}")
-    subprocess.run(["poetry", "run"] + list(command), cwd=directory, check=True)
+    try:
+        subprocess.run(
+            ["poetry", "run"] + list(command),
+            cwd=directory,
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT,
+        )
+    except subprocess.CalledProcessError as e:
+        print(e.output.decode("utf-8"), file=sys.stderr)
+        raise
 
 
 def lint():
-    try:
-        run("ruff", "check", *TARGET_DIRS, "--exit-zero")
-        run("ruff", "format", "--diff", "--check", LIBS_DIR)
-        run("isort", "--diff", "--check", "--profile", "black", BACKEND_DIR)
-        run("black", "--diff", "--check", BACKEND_DIR)
-        run("pyright", *TARGET_DIRS)
-    except subprocess.CalledProcessError as e:
-        print("Lint failed, try running `poetry run format` to fix the issues: ", e)
-        raise e
+    lint_step_args: list[list[str]] = [
+        ["ruff", "check", *TARGET_DIRS, "--exit-zero"],
+        ["ruff", "format", "--diff", "--check", LIBS_DIR],
+        ["isort", "--diff", "--check", "--profile", "black", BACKEND_DIR],
+        ["black", "--diff", "--check", BACKEND_DIR],
+        ["pyright", *TARGET_DIRS],
+    ]
+    lint_error = None
+    for args in lint_step_args:
+        try:
+            run(*args)
+        except subprocess.CalledProcessError as e:
+            lint_error = e
+
+    if lint_error:
+        print("Lint failed, try running `poetry run format` to fix the issues")
+        sys.exit(1)
 
 
 def format():
diff --git a/autogpt_platform/backend/migrations/20241230102007_update_store_agent_view/migration.sql b/autogpt_platform/backend/migrations/20241230102007_update_store_agent_view/migration.sql
new file mode 100644
index 000000000000..76cabcb57426
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20241230102007_update_store_agent_view/migration.sql
@@ -0,0 +1,50 @@
+BEGIN;
+
+DROP VIEW IF EXISTS "StoreAgent";
+
+CREATE VIEW "StoreAgent" AS
+WITH ReviewStats AS (
+    SELECT sl."id" AS "storeListingId",
+    COUNT(sr.id) AS review_count,
+    AVG(CAST(sr.score AS DECIMAL)) AS avg_rating
+    FROM "StoreListing" sl
+    JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl."id"
+    JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id
+    WHERE sl."isDeleted" = FALSE
+    GROUP BY sl."id"
+),
+AgentRuns AS (
+    SELECT "agentGraphId", COUNT(*) AS run_count
+    FROM "AgentGraphExecution"
+    GROUP BY "agentGraphId"
+)
+SELECT
+    sl.id AS listing_id,
+    slv.id AS "storeListingVersionId",
+    slv."createdAt" AS updated_at,
+    slv.slug,
+    slv.name AS agent_name,
+    slv."videoUrl" AS agent_video,
+    COALESCE(slv."imageUrls", ARRAY[]::TEXT[]) AS agent_image,
+    slv."isFeatured" AS featured,
+    p.username AS creator_username,
+    p."avatarUrl" AS creator_avatar,
+    slv."subHeading" AS sub_heading,
+    slv.description,
+    slv.categories,
+    COALESCE(ar.run_count, 0) AS runs,
+    CAST(COALESCE(rs.avg_rating, 0.0) AS DOUBLE PRECISION) AS rating,
+    ARRAY_AGG(DISTINCT CAST(slv.version AS TEXT)) AS versions
+FROM "StoreListing" sl
+JOIN "AgentGraph" a ON sl."agentId" = a.id AND sl."agentVersion" = a."version"
+LEFT JOIN "Profile" p ON sl."owningUserId" = p."userId"
+LEFT JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id
+LEFT JOIN ReviewStats rs ON sl.id = rs."storeListingId"
+LEFT JOIN AgentRuns ar ON a.id = ar."agentGraphId"
+WHERE sl."isDeleted" = FALSE
+  AND sl."isApproved" = TRUE
+GROUP BY sl.id, slv.id, slv.slug, slv."createdAt", slv.name, slv."videoUrl", slv."imageUrls", slv."isFeatured", 
+         p.username, p."avatarUrl", slv."subHeading", slv.description, slv.categories,
+         ar.run_count, rs.avg_rating;
+
+COMMIT;
diff --git a/autogpt_platform/backend/migrations/20250103143207_add_terminated_execution_status/migration.sql b/autogpt_platform/backend/migrations/20250103143207_add_terminated_execution_status/migration.sql
new file mode 100644
index 000000000000..0b3a2a27b9be
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250103143207_add_terminated_execution_status/migration.sql
@@ -0,0 +1,2 @@
+-- Add "TERMINATED" to execution status enum type
+ALTER TYPE "AgentExecutionStatus" ADD VALUE 'TERMINATED';
diff --git a/autogpt_platform/backend/migrations/20250105254106_migrate_brace_to_double_brace_string_format/migration.sql b/autogpt_platform/backend/migrations/20250105254106_migrate_brace_to_double_brace_string_format/migration.sql
new file mode 100644
index 000000000000..2a7141b0f9c8
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250105254106_migrate_brace_to_double_brace_string_format/migration.sql
@@ -0,0 +1,86 @@
+/*
+  Warnings:
+  - You are about replace a single brace string input format for the following blocks:
+        - AgentOutputBlock
+        - FillTextTemplateBlock
+        - AITextGeneratorBlock
+        - AIStructuredResponseGeneratorBlock
+    with a double brace format.
+   - This migration can be slow for a large updated AgentNode tables.
+*/
+BEGIN;
+SET LOCAL statement_timeout = '10min';
+
+WITH to_update AS (
+    SELECT
+        "id",
+        "agentBlockId",
+        "constantInput"::jsonb AS j
+    FROM "AgentNode"
+    WHERE
+        "agentBlockId" IN (
+            '363ae599-353e-4804-937e-b2ee3cef3da4', -- AgentOutputBlock
+            'db7d8f02-2f44-4c55-ab7a-eae0941f0c30', -- FillTextTemplateBlock
+            '1f292d4a-41a4-4977-9684-7c8d560b9f91', -- AITextGeneratorBlock
+            'ed55ac19-356e-4243-a6cb-bc599e9b716f' -- AIStructuredResponseGeneratorBlock
+        )
+        AND (
+             "constantInput"::jsonb->>'format'    ~ '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})'
+          OR "constantInput"::jsonb->>'prompt'    ~ '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})'
+          OR "constantInput"::jsonb->>'sys_prompt' ~ '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})'
+        )
+),
+updated_rows AS (
+    SELECT
+        "id",
+        "agentBlockId",
+        (
+            j
+            -- Update "format" if it has a single-brace placeholder
+            || CASE WHEN j->>'format' ~ '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})'
+                THEN jsonb_build_object(
+                    'format',
+                    regexp_replace(
+                        j->>'format',
+                        '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})',
+                        '{{\1}}',
+                        'g'
+                    )
+                )
+                ELSE '{}'::jsonb
+            END
+            -- Update "prompt" if it has a single-brace placeholder
+            || CASE WHEN j->>'prompt' ~ '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})'
+                THEN jsonb_build_object(
+                    'prompt',
+                    regexp_replace(
+                        j->>'prompt',
+                        '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})',
+                        '{{\1}}',
+                        'g'
+                    )
+                )
+                ELSE '{}'::jsonb
+            END
+            -- Update "sys_prompt" if it has a single-brace placeholder
+            || CASE WHEN j->>'sys_prompt' ~ '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})'
+                THEN jsonb_build_object(
+                    'sys_prompt',
+                    regexp_replace(
+                        j->>'sys_prompt',
+                        '(?<!\{)\{\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*\}(?!\})',
+                        '{{\1}}',
+                        'g'
+                    )
+                )
+                ELSE '{}'::jsonb
+            END
+        )::text AS "newConstantInput"
+    FROM to_update
+)
+UPDATE "AgentNode" AS an
+SET "constantInput" = ur."newConstantInput"
+FROM updated_rows ur
+WHERE an."id" = ur."id";
+
+COMMIT;
diff --git a/autogpt_platform/backend/migrations/20250107095812_preset_soft_delete/migration.sql b/autogpt_platform/backend/migrations/20250107095812_preset_soft_delete/migration.sql
new file mode 100644
index 000000000000..e85cee9654c4
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250107095812_preset_soft_delete/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "AgentPreset" ADD COLUMN     "isDeleted" BOOLEAN NOT NULL DEFAULT false;
diff --git a/autogpt_platform/backend/migrations/20250108084101_user_agent_to_library_agent/migration.sql b/autogpt_platform/backend/migrations/20250108084101_user_agent_to_library_agent/migration.sql
new file mode 100644
index 000000000000..a822161a17b8
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250108084101_user_agent_to_library_agent/migration.sql
@@ -0,0 +1,46 @@
+/*
+  Warnings:
+
+  - You are about to drop the `UserAgent` table. If the table is not empty, all the data it contains will be lost.
+
+*/
+-- DropForeignKey
+ALTER TABLE "UserAgent" DROP CONSTRAINT "UserAgent_agentId_agentVersion_fkey";
+
+-- DropForeignKey
+ALTER TABLE "UserAgent" DROP CONSTRAINT "UserAgent_agentPresetId_fkey";
+
+-- DropForeignKey
+ALTER TABLE "UserAgent" DROP CONSTRAINT "UserAgent_userId_fkey";
+
+-- DropTable
+DROP TABLE "UserAgent";
+
+-- CreateTable
+CREATE TABLE "LibraryAgent" (
+    "id" TEXT NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "userId" TEXT NOT NULL,
+    "agentId" TEXT NOT NULL,
+    "agentVersion" INTEGER NOT NULL,
+    "agentPresetId" TEXT,
+    "isFavorite" BOOLEAN NOT NULL DEFAULT false,
+    "isCreatedByUser" BOOLEAN NOT NULL DEFAULT false,
+    "isArchived" BOOLEAN NOT NULL DEFAULT false,
+    "isDeleted" BOOLEAN NOT NULL DEFAULT false,
+
+    CONSTRAINT "LibraryAgent_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE INDEX "LibraryAgent_userId_idx" ON "LibraryAgent"("userId");
+
+-- AddForeignKey
+ALTER TABLE "LibraryAgent" ADD CONSTRAINT "LibraryAgent_userId_fkey" FOREIGN KEY ("userId") REFERENCES "User"("id") ON DELETE CASCADE ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LibraryAgent" ADD CONSTRAINT "LibraryAgent_agentId_agentVersion_fkey" FOREIGN KEY ("agentId", "agentVersion") REFERENCES "AgentGraph"("id", "version") ON DELETE RESTRICT ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "LibraryAgent" ADD CONSTRAINT "LibraryAgent_agentPresetId_fkey" FOREIGN KEY ("agentPresetId") REFERENCES "AgentPreset"("id") ON DELETE SET NULL ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250108084305_use_graph_is_active_version/migration.sql b/autogpt_platform/backend/migrations/20250108084305_use_graph_is_active_version/migration.sql
new file mode 100644
index 000000000000..5ffca8202f33
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250108084305_use_graph_is_active_version/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "LibraryAgent" ADD COLUMN     "useGraphIsActiveVersion" BOOLEAN NOT NULL DEFAULT false;
diff --git a/autogpt_platform/backend/migrations/20250110084611_store_index_updates/migration.sql b/autogpt_platform/backend/migrations/20250110084611_store_index_updates/migration.sql
new file mode 100644
index 000000000000..93779b45e78c
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250110084611_store_index_updates/migration.sql
@@ -0,0 +1,29 @@
+/*
+  Warnings:
+
+  - A unique constraint covering the columns `[agentId]` on the table `StoreListing` will be added. If there are existing duplicate values, this will fail.
+
+*/
+-- DropIndex
+DROP INDEX "StoreListing_agentId_idx";
+
+-- DropIndex
+DROP INDEX "StoreListing_isApproved_idx";
+
+-- DropIndex
+DROP INDEX "StoreListingVersion_agentId_agentVersion_isApproved_idx";
+
+-- CreateIndex
+CREATE INDEX "StoreListing_agentId_owningUserId_idx" ON "StoreListing"("agentId", "owningUserId");
+
+-- CreateIndex
+CREATE INDEX "StoreListing_isDeleted_isApproved_idx" ON "StoreListing"("isDeleted", "isApproved");
+
+-- CreateIndex
+CREATE INDEX "StoreListing_isDeleted_idx" ON "StoreListing"("isDeleted");
+
+-- CreateIndex
+CREATE UNIQUE INDEX "StoreListing_agentId_key" ON "StoreListing"("agentId");
+
+-- CreateIndex
+CREATE INDEX "StoreListingVersion_agentId_agentVersion_isDeleted_idx" ON "StoreListingVersion"("agentId", "agentVersion", "isDeleted");
diff --git a/autogpt_platform/backend/migrations/20250115213557_add_running_balance/migration.sql b/autogpt_platform/backend/migrations/20250115213557_add_running_balance/migration.sql
new file mode 100644
index 000000000000..73f8d98f7953
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250115213557_add_running_balance/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "CreditTransaction" ADD COLUMN     "runningBalance" INTEGER;
diff --git a/autogpt_platform/backend/migrations/20250115382614_reshape_transaction_metadata_column/migration.sql b/autogpt_platform/backend/migrations/20250115382614_reshape_transaction_metadata_column/migration.sql
new file mode 100644
index 000000000000..c6952d769bb0
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250115382614_reshape_transaction_metadata_column/migration.sql
@@ -0,0 +1,35 @@
+/*
+  Warnings:
+
+  - You are about to drop the column `blockId` on the `CreditTransaction` table. All the data in the column will be moved to metadata->block_id.
+
+*/
+BEGIN;
+
+-- DropForeignKey blockId
+ALTER TABLE "CreditTransaction" DROP CONSTRAINT "CreditTransaction_blockId_fkey";
+
+-- Update migrate blockId into metadata->"block_id"
+UPDATE "CreditTransaction"
+SET "metadata" = jsonb_set(
+    COALESCE("metadata"::jsonb, '{}'),
+    '{block_id}',
+    to_jsonb("blockId")
+)
+WHERE "blockId" IS NOT NULL;
+
+-- AlterTable drop blockId
+ALTER TABLE "CreditTransaction" DROP COLUMN "blockId";
+
+COMMIT;
+
+/*
+    These indices dropped below were part of the cleanup during the schema change applied above.
+    These indexes were not useful and will not impact anything upon their removal.
+*/
+
+-- DropIndex
+DROP INDEX "StoreListingReview_storeListingVersionId_idx";
+
+-- DropIndex
+DROP INDEX "StoreListingSubmission_Status_idx";
diff --git a/autogpt_platform/backend/migrations/20250115432618_add_auto_top_up_config/migration.sql b/autogpt_platform/backend/migrations/20250115432618_add_auto_top_up_config/migration.sql
new file mode 100644
index 000000000000..c336b3509c96
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250115432618_add_auto_top_up_config/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "User" ADD COLUMN     "topUpConfig" JSONB;
diff --git a/autogpt_platform/backend/migrations/20250124211747_make_store_listing_version_id_unique/migration.sql b/autogpt_platform/backend/migrations/20250124211747_make_store_listing_version_id_unique/migration.sql
new file mode 100644
index 000000000000..a1841b917c90
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250124211747_make_store_listing_version_id_unique/migration.sql
@@ -0,0 +1,8 @@
+/*
+  Warnings:
+
+  - A unique constraint covering the columns `[storeListingVersionId]` on the table `StoreListingSubmission` will be added. If there are existing duplicate values, this will fail.
+
+*/
+-- CreateIndex
+CREATE UNIQUE INDEX "StoreListingSubmission_storeListingVersionId_key" ON "StoreListingSubmission"("storeListingVersionId");
diff --git a/autogpt_platform/backend/migrations/20250203133647_add_image_url/migration.sql b/autogpt_platform/backend/migrations/20250203133647_add_image_url/migration.sql
new file mode 100644
index 000000000000..33a9bbf1d995
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250203133647_add_image_url/migration.sql
@@ -0,0 +1,8 @@
+-- Add imageUrl column
+ALTER TABLE "LibraryAgent"
+ADD COLUMN  "creatorId" TEXT,
+ADD COLUMN  "imageUrl"  TEXT;
+
+-- Add foreign key constraint for creatorId -> Profile
+ALTER TABLE "LibraryAgent"
+ADD CONSTRAINT "LibraryAgent_creatorId_fkey" FOREIGN KEY ("creatorId") REFERENCES "Profile"("id") ON DELETE SET NULL ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250205100104_add_profile_trigger/migration.sql b/autogpt_platform/backend/migrations/20250205100104_add_profile_trigger/migration.sql
new file mode 100644
index 000000000000..2a41961b3292
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250205100104_add_profile_trigger/migration.sql
@@ -0,0 +1,109 @@
+CREATE OR REPLACE FUNCTION generate_username()
+RETURNS TEXT AS $$
+DECLARE
+    -- Random username generation
+    selected_adjective TEXT;
+    selected_animal    TEXT;
+    random_int         INT;
+    generated_username TEXT;
+BEGIN
+    FOR i IN 1..10 LOOP
+        SELECT unnest
+          INTO selected_adjective
+          FROM (VALUES ('happy'), ('clever'), ('swift'), ('bright'), ('wise'), ('funny'), ('cool'), ('awesome'), ('amazing'), ('fantastic'), ('wonderful')) AS t(unnest)
+          ORDER BY random()
+          LIMIT 1;
+
+        SELECT unnest
+          INTO selected_animal
+          FROM (VALUES ('fox'), ('wolf'), ('bear'), ('eagle'), ('owl'), ('tiger'), ('lion'), ('elephant'), ('giraffe'), ('zebra')) AS t(unnest)
+          ORDER BY random()
+          LIMIT 1;
+
+        SELECT floor(random() * (99999 - 10000 + 1) + 10000)::int
+          INTO random_int;
+
+        generated_username := lower(selected_adjective || '-' || selected_animal || '-' || random_int);
+
+        -- Check if username is already taken
+        IF NOT EXISTS (
+            SELECT 1 FROM platform."Profile" WHERE username = generated_username
+        ) THEN
+            -- Username is unique, exit the loop
+            EXIT;
+        END IF;
+
+        -- If we've tried 10 times and still haven't found a unique username
+        IF i = 10 THEN
+            RAISE EXCEPTION 'Unable to generate unique username after 10 attempts';
+        END IF;
+    END LOOP;
+    RETURN generated_username;
+END;
+$$ LANGUAGE plpgsql SECURITY DEFINER;
+
+CREATE OR REPLACE FUNCTION add_user_and_profile_to_platform()
+RETURNS TRIGGER AS $$
+BEGIN
+    -- Exit early if NEW.id is null to prevent constraint violations
+    IF NEW.id IS NULL THEN
+        RAISE EXCEPTION 'Cannot create user/profile: id is null';
+    END IF;
+
+    /*
+      1) Insert into platform."User"
+         (If you already have such a row or want different columns, adjust below.)
+    */
+    INSERT INTO platform."User" (id, email, "updatedAt")
+    VALUES (NEW.id, NEW.email, now());
+
+    /*
+      2) Insert into platform."Profile"
+         Adjust columns/types depending on how your "Profile" schema is defined:
+           - "links" might be text[], jsonb, or something else in your table.
+           - "avatarUrl" and "description" can be defaulted as well.
+    */
+    INSERT INTO platform."Profile"
+      ("id", "userId", name, username, description, links, "avatarUrl", "updatedAt")
+    VALUES
+      (
+        NEW.id,
+        NEW.id,
+        COALESCE(split_part(NEW.email, '@', 1), 'user'),  -- handle null email
+        platform.generate_username(),
+        'I''m new here',
+        '{}',                            -- empty array or empty JSON, depending on your column definition
+        '',
+        now()
+      );
+
+    RETURN NEW;
+EXCEPTION
+    WHEN OTHERS THEN
+        -- Log the error details
+        RAISE NOTICE 'Error in add_user_and_profile_to_platform: %', SQLERRM;
+        -- Re-raise the error
+        RAISE;
+END;
+$$ LANGUAGE plpgsql SECURITY DEFINER;
+
+
+DO $$
+BEGIN
+    -- Check if the auth schema and users table exist
+    IF EXISTS (
+        SELECT 1
+        FROM information_schema.tables
+        WHERE table_schema = 'auth'
+        AND table_name = 'users'
+    ) THEN
+        -- Drop the trigger if it exists
+        DROP TRIGGER IF EXISTS user_added_to_platform ON auth.users;
+
+        -- Create the trigger
+        CREATE TRIGGER user_added_to_platform
+        AFTER INSERT ON auth.users
+        FOR EACH ROW EXECUTE FUNCTION add_user_and_profile_to_platform();
+    END IF;
+END $$;
+
diff --git a/autogpt_platform/backend/migrations/20250205110132_add_missing_profiles/migration.sql b/autogpt_platform/backend/migrations/20250205110132_add_missing_profiles/migration.sql
new file mode 100644
index 000000000000..f10c5889482a
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250205110132_add_missing_profiles/migration.sql
@@ -0,0 +1,29 @@
+DO $$
+BEGIN
+    IF EXISTS (
+        SELECT 1
+        FROM information_schema.tables
+        WHERE table_schema = 'platform'
+          AND table_name = 'User'
+    ) AND EXISTS (
+        SELECT 1
+        FROM information_schema.tables
+        WHERE table_schema = 'platform'
+          AND table_name = 'Profile'
+    ) THEN
+        INSERT INTO platform."Profile"
+            ("id", "userId", name, username, description, links, "avatarUrl", "updatedAt")
+        SELECT 
+            u.id,
+            u.id,
+            COALESCE(split_part(u.email, '@', 1), 'user'),
+            platform.generate_username(),
+            'I''m new here',
+            '{}',
+            '',
+            now()
+        FROM platform."User" u
+        LEFT JOIN platform."Profile" p ON u.id = p."userId"
+        WHERE p.id IS NULL;
+    END IF;
+END $$;
\ No newline at end of file
diff --git a/autogpt_platform/backend/migrations/20250212215755_add_user_notifications/migration.sql b/autogpt_platform/backend/migrations/20250212215755_add_user_notifications/migration.sql
new file mode 100644
index 000000000000..c7f5963e2fad
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250212215755_add_user_notifications/migration.sql
@@ -0,0 +1,45 @@
+-- CreateEnum
+CREATE TYPE "NotificationType" AS ENUM ('AGENT_RUN', 'ZERO_BALANCE', 'LOW_BALANCE', 'BLOCK_EXECUTION_FAILED', 'CONTINUOUS_AGENT_ERROR', 'DAILY_SUMMARY', 'WEEKLY_SUMMARY', 'MONTHLY_SUMMARY');
+
+-- AlterTable
+ALTER TABLE "User" ADD COLUMN     "maxEmailsPerDay" INTEGER NOT NULL DEFAULT 3,
+ADD COLUMN     "notifyOnAgentRun" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnBlockExecutionFailed" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnContinuousAgentError" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnDailySummary" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnLowBalance" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnMonthlySummary" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnWeeklySummary" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnZeroBalance" BOOLEAN NOT NULL DEFAULT true;
+
+-- CreateTable
+CREATE TABLE "NotificationEvent" (
+    "id" TEXT NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "userNotificationBatchId" TEXT,
+    "type" "NotificationType" NOT NULL,
+    "data" JSONB NOT NULL,
+
+    CONSTRAINT "NotificationEvent_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateTable
+CREATE TABLE "UserNotificationBatch" (
+    "id" TEXT NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "userId" TEXT NOT NULL,
+    "type" "NotificationType" NOT NULL,
+
+    CONSTRAINT "UserNotificationBatch_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE UNIQUE INDEX "UserNotificationBatch_userId_type_key" ON "UserNotificationBatch"("userId", "type");
+
+-- AddForeignKey
+ALTER TABLE "NotificationEvent" ADD CONSTRAINT "NotificationEvent_userNotificationBatchId_fkey" FOREIGN KEY ("userNotificationBatchId") REFERENCES "UserNotificationBatch"("id") ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- AddForeignKey
+ALTER TABLE "UserNotificationBatch" ADD CONSTRAINT "UserNotificationBatch_userId_fkey" FOREIGN KEY ("userId") REFERENCES "User"("id") ON DELETE CASCADE ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250213110232_migrate_string_json/migration.sql b/autogpt_platform/backend/migrations/20250213110232_migrate_string_json/migration.sql
new file mode 100644
index 000000000000..2d5216aee9ae
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250213110232_migrate_string_json/migration.sql
@@ -0,0 +1,77 @@
+CREATE OR REPLACE FUNCTION migrate_text_column_to_json(
+    p_table         text,                       -- Table name, e.g. 'AgentNodeExecution'
+    p_col           text,                       -- Column name to convert, e.g. 'executionData'
+    p_default       json DEFAULT '{}'::json,    -- Fallback value when original value is NULL.
+                                                -- Pass NULL here if you prefer to leave NULLs.
+    p_set_nullable  boolean DEFAULT true        -- If false, the new column will be NOT NULL.
+) RETURNS void AS $$
+DECLARE
+    full_table text;
+    tmp_col    text;
+BEGIN
+    -- Build a fully qualified table name using the current schema.
+    full_table := format('%I.%I', current_schema(), p_table);
+    tmp_col := p_col || '_tmp';
+
+    -- 0. Skip the migration if the column is already of type jsonb.
+    IF EXISTS (
+      SELECT 1
+      FROM information_schema.columns
+      WHERE table_schema = current_schema()
+        AND table_name = p_table
+        AND column_name = p_col
+        AND data_type = 'jsonb'
+    ) THEN
+      RAISE NOTICE 'Column %I.%I is already of type jsonb, skipping migration.', full_table, p_col;
+      RETURN;
+    END IF;
+
+    -- 1. Cleanup the original column from invalid JSON characters.
+    EXECUTE format('UPDATE %s SET %I = replace(%I, E''\\u0000'', '''') WHERE %I LIKE ''%%\\u0000%%'';', full_table, p_col, p_col, p_col);
+
+    -- 2. Add the temporary column of type JSON.
+    EXECUTE format('ALTER TABLE %s ADD COLUMN %I jsonb;', full_table, tmp_col);
+
+    -- 3. Convert the data:
+    --    - If p_default IS NOT NULL, use it as the fallback value.
+    --    - Otherwise, keep NULL.
+    IF p_default IS NULL THEN
+      EXECUTE format(
+        'UPDATE %s SET %I = CASE WHEN %I IS NULL THEN NULL ELSE %I::json END;',
+         full_table, tmp_col, p_col, p_col
+      );
+    ELSE
+      EXECUTE format(
+        'UPDATE %s SET %I = CASE WHEN %I IS NULL THEN %L::json ELSE %I::json END;',
+         full_table, tmp_col, p_col, p_default::text, p_col
+      );
+    END IF;
+
+    -- 4. Drop the original text column.
+    EXECUTE format('ALTER TABLE %s DROP COLUMN %I;', full_table, p_col);
+
+    -- 5. Rename the temporary column to the original column name.
+    EXECUTE format('ALTER TABLE %s RENAME COLUMN %I TO %I;', full_table, tmp_col, p_col);
+
+    -- 6. Optionally set a DEFAULT for future inserts if a fallback is provided.
+    IF p_default IS NOT NULL THEN
+      EXECUTE format('ALTER TABLE %s ALTER COLUMN %I SET DEFAULT %L::json;',
+                     full_table, p_col, p_default::text);
+    END IF;
+
+    -- 7. Optionally mark the column as NOT NULL.
+    IF NOT p_set_nullable THEN
+      EXECUTE format('ALTER TABLE %s ALTER COLUMN %I SET NOT NULL;', full_table, p_col);
+    END IF;
+END;
+$$ LANGUAGE plpgsql;
+
+
+BEGIN;
+  SELECT migrate_text_column_to_json('AgentGraphExecution', 'stats', NULL, true);
+  SELECT migrate_text_column_to_json('AgentNodeExecution', 'stats', NULL, true);
+  SELECT migrate_text_column_to_json('AgentNodeExecution', 'executionData', NULL, true);
+  SELECT migrate_text_column_to_json('AgentNode', 'constantInput', '{}'::json, false);
+  SELECT migrate_text_column_to_json('AgentNode', 'metadata', '{}'::json, false);
+  SELECT migrate_text_column_to_json('AgentNodeExecutionInputOutput', 'data', NULL, false);
+COMMIT;
diff --git a/autogpt_platform/backend/migrations/20250214092857_add_refund_request/migration.sql b/autogpt_platform/backend/migrations/20250214092857_add_refund_request/migration.sql
new file mode 100644
index 000000000000..050eaa550ccf
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250214092857_add_refund_request/migration.sql
@@ -0,0 +1,20 @@
+-- CreateEnum
+CREATE TYPE "CreditRefundRequestStatus" AS ENUM ('PENDING', 'APPROVED', 'REJECTED');
+
+-- CreateTable
+CREATE TABLE "CreditRefundRequest" (
+    "id" TEXT NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updatedAt" TIMESTAMP(3) NOT NULL,
+    "userId" TEXT NOT NULL,
+    "transactionKey" TEXT NOT NULL,
+    "amount" INTEGER NOT NULL,
+    "reason" TEXT NOT NULL,
+    "result" TEXT,
+    "status" "CreditRefundRequestStatus" NOT NULL DEFAULT 'PENDING',
+
+    CONSTRAINT "CreditRefundRequest_pkey" PRIMARY KEY ("id")
+);
+
+-- CreateIndex
+CREATE INDEX "CreditRefundRequest_userId_transactionKey_idx" ON "CreditRefundRequest"("userId", "transactionKey");
diff --git a/autogpt_platform/backend/migrations/20250214101759_add_transaction_types/migration.sql b/autogpt_platform/backend/migrations/20250214101759_add_transaction_types/migration.sql
new file mode 100644
index 000000000000..946d4e5b8a49
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250214101759_add_transaction_types/migration.sql
@@ -0,0 +1,11 @@
+-- AlterEnum
+-- This migration adds more than one value to an enum.
+-- With PostgreSQL versions 11 and earlier, this is not possible
+-- in a single migration. This can be worked around by creating
+-- multiple migrations, each migration adding only one value to
+-- the enum.
+
+
+ALTER TYPE "CreditTransactionType" ADD VALUE 'GRANT';
+ALTER TYPE "CreditTransactionType" ADD VALUE 'REFUND';
+ALTER TYPE "CreditTransactionType" ADD VALUE 'CARD_CHECK';
diff --git a/autogpt_platform/backend/migrations/20250218135013_create_library_agents_for_existing_graphs/migration.sql b/autogpt_platform/backend/migrations/20250218135013_create_library_agents_for_existing_graphs/migration.sql
new file mode 100644
index 000000000000..d2f6785a852d
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250218135013_create_library_agents_for_existing_graphs/migration.sql
@@ -0,0 +1,33 @@
+-- Create LibraryAgents for all AgentGraphs in their owners' library, skipping existing entries
+INSERT INTO "LibraryAgent" (
+  "id",
+  "createdAt",
+  "updatedAt",
+  "userId",
+  "agentId",
+  "agentVersion",
+  "useGraphIsActiveVersion",
+  "isFavorite",
+  "isCreatedByUser",
+  "isArchived",
+  "isDeleted")
+SELECT
+  gen_random_uuid(), --> id
+  ag."createdAt",    --> createdAt
+  ag."createdAt",    --> updatedAt
+  ag."userId",       --> userId
+  ag."id",           --> agentId
+  ag."version",      --> agentVersion
+  true,              --> useGraphIsActiveVersion
+  false,             --> isFavorite
+  true,              --> isCreatedByUser
+  false,             --> isArchived
+  false              --> isDeleted
+FROM  "AgentGraph" AS ag
+WHERE ag."isActive" = true
+AND   NOT EXISTS (
+  SELECT 1
+  FROM   "LibraryAgent" AS la
+  WHERE  la."userId"  = ag."userId"
+  AND    la."agentId" = ag."id"
+);
diff --git a/autogpt_platform/backend/migrations/20250220111649_add_refund_notifications/migration.sql b/autogpt_platform/backend/migrations/20250220111649_add_refund_notifications/migration.sql
new file mode 100644
index 000000000000..10609ad8021e
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250220111649_add_refund_notifications/migration.sql
@@ -0,0 +1,9 @@
+-- AlterEnum
+-- This migration adds more than one value to an enum.
+-- With PostgreSQL versions 11 and earlier, this is not possible
+-- in a single migration. This can be worked around by creating
+-- multiple migrations, each migration adding only one value to
+-- the enum.
+
+ALTER TYPE "NotificationType" ADD VALUE 'REFUND_REQUEST';
+ALTER TYPE "NotificationType" ADD VALUE 'REFUND_PROCESSED';
diff --git a/autogpt_platform/backend/migrations/20250222014114_add_email_verified_flag_to_user_table/migration.sql b/autogpt_platform/backend/migrations/20250222014114_add_email_verified_flag_to_user_table/migration.sql
new file mode 100644
index 000000000000..ed340c6de3d0
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250222014114_add_email_verified_flag_to_user_table/migration.sql
@@ -0,0 +1,10 @@
+-- First, add the column as nullable to avoid issues with existing rows
+ALTER TABLE "User" ADD COLUMN "emailVerified" BOOLEAN;
+
+-- Set default values for existing rows
+UPDATE "User" SET "emailVerified" = true;
+
+-- Now make it NOT NULL and set the default
+ALTER TABLE "User" ALTER COLUMN "emailVerified" SET NOT NULL;
+ALTER TABLE "User" ALTER COLUMN "emailVerified" SET DEFAULT true;
+
diff --git a/autogpt_platform/backend/migrations/20250223110000_add_onboarding_model/migration.sql b/autogpt_platform/backend/migrations/20250223110000_add_onboarding_model/migration.sql
new file mode 100644
index 000000000000..3b149216397c
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250223110000_add_onboarding_model/migration.sql
@@ -0,0 +1,26 @@
+-- Create UserOnboarding table
+CREATE TABLE "UserOnboarding" (
+    "id" TEXT NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "step" INTEGER NOT NULL DEFAULT 0,
+    "usageReason" TEXT,
+    "integrations" TEXT[] DEFAULT ARRAY[]::TEXT[],
+    "otherIntegrations" TEXT,
+    "selectedAgentCreator" TEXT,
+    "selectedAgentSlug" TEXT,
+    "agentInput" JSONB,
+    "isCompleted" BOOLEAN NOT NULL DEFAULT false,
+    "userId" TEXT NOT NULL,
+
+    CONSTRAINT "UserOnboarding_pkey" PRIMARY KEY ("id")
+);
+
+-- Create unique constraint on userId
+ALTER TABLE "UserOnboarding" ADD CONSTRAINT "UserOnboarding_userId_key" UNIQUE ("userId");
+
+-- Create index on userId
+CREATE INDEX "UserOnboarding_userId_idx" ON "UserOnboarding"("userId");
+
+-- Add foreign key constraint
+ALTER TABLE "UserOnboarding" ADD CONSTRAINT "UserOnboarding_userId_fkey" 
+FOREIGN KEY ("userId") REFERENCES "User"("id") ON DELETE CASCADE ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250227140210_fix_library_presets_relations/migration.sql b/autogpt_platform/backend/migrations/20250227140210_fix_library_presets_relations/migration.sql
new file mode 100644
index 000000000000..8553d774297c
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250227140210_fix_library_presets_relations/migration.sql
@@ -0,0 +1,50 @@
+/*
+  Warnings:
+  - The relation LibraryAgent:AgentPreset was REMOVED
+  - A unique constraint covering the columns `[userId,agentGraphId,agentGraphVersion]` on the table `LibraryAgent` will be added. If there are existing duplicate values, this will fail.
+  - The foreign key constraints on AgentPreset and LibraryAgent are being changed from CASCADE to RESTRICT for AgentGraph deletion, which means you cannot delete AgentGraphs that have associated LibraryAgents or AgentPresets.
+
+  Use the following query to check whether these conditions are satisfied:
+
+  -- Check for duplicate LibraryAgent userId + agentGraphId + agentGraphVersion combinations that would violate the new unique constraint
+  SELECT   la."userId",
+           la."agentId"      as graph_id,
+           la."agentVersion" as graph_version,
+           COUNT(*)          as multiplicity
+  FROM     "LibraryAgent" la
+  GROUP BY la."userId",
+           la."agentId",
+           la."agentVersion"
+  HAVING   COUNT(*) > 1;
+*/
+
+-- Drop foreign key constraints on columns we're about to rename
+ALTER TABLE "AgentPreset"  DROP CONSTRAINT "AgentPreset_agentId_agentVersion_fkey";
+ALTER TABLE "LibraryAgent" DROP CONSTRAINT "LibraryAgent_agentId_agentVersion_fkey";
+ALTER TABLE "LibraryAgent" DROP CONSTRAINT "LibraryAgent_agentPresetId_fkey";
+
+-- Rename columns in AgentPreset
+ALTER TABLE "AgentPreset" RENAME COLUMN "agentId"      TO "agentGraphId";
+ALTER TABLE "AgentPreset" RENAME COLUMN "agentVersion" TO "agentGraphVersion";
+
+-- Rename columns in LibraryAgent
+ALTER TABLE "LibraryAgent" RENAME COLUMN "agentId"      TO "agentGraphId";
+ALTER TABLE "LibraryAgent" RENAME COLUMN "agentVersion" TO "agentGraphVersion";
+
+-- Drop LibraryAgent.agentPresetId column
+ALTER TABLE "LibraryAgent" DROP COLUMN "agentPresetId";
+
+-- Replace userId index with unique index on userId + agentGraphId + agentGraphVersion
+DROP INDEX "LibraryAgent_userId_idx";
+CREATE UNIQUE INDEX "LibraryAgent_userId_agentGraphId_agentGraphVersion_key" ON "LibraryAgent"("userId", "agentGraphId", "agentGraphVersion");
+
+-- Re-add the foreign key constraints with new column names
+ALTER TABLE "LibraryAgent" ADD CONSTRAINT "LibraryAgent_agentGraphId_agentGraphVersion_fkey"
+FOREIGN KEY ("agentGraphId", "agentGraphVersion") REFERENCES "AgentGraph"("id", "version")
+ON DELETE RESTRICT  -- Disallow deleting AgentGraph when still referenced by existing LibraryAgents
+ON UPDATE CASCADE;
+
+ALTER TABLE "AgentPreset" ADD CONSTRAINT "AgentPreset_agentGraphId_agentGraphVersion_fkey"
+FOREIGN KEY ("agentGraphId", "agentGraphVersion") REFERENCES "AgentGraph"("id", "version")
+ON DELETE RESTRICT  -- Disallow deleting AgentGraph when still referenced by existing AgentPresets
+ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250228161607_agent_graph_execution_soft_delete/migration.sql b/autogpt_platform/backend/migrations/20250228161607_agent_graph_execution_soft_delete/migration.sql
new file mode 100644
index 000000000000..ef091b9c80c6
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250228161607_agent_graph_execution_soft_delete/migration.sql
@@ -0,0 +1,6 @@
+-- Add isDeleted column to AgentGraphExecution
+ALTER TABLE "AgentGraphExecution"
+ADD COLUMN  "isDeleted"
+  BOOLEAN
+  NOT NULL
+  DEFAULT false;
diff --git a/autogpt_platform/backend/migrations/20250310095931_delete_duplicate_indices/migration.sql b/autogpt_platform/backend/migrations/20250310095931_delete_duplicate_indices/migration.sql
new file mode 100644
index 000000000000..981ee6c85922
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250310095931_delete_duplicate_indices/migration.sql
@@ -0,0 +1,11 @@
+-- DropIndex
+DROP INDEX "APIKey_userId_idx";
+
+-- DropIndex
+DROP INDEX "StoreListing_agentId_owningUserId_idx";
+
+-- DropIndex
+DROP INDEX "StoreListing_isDeleted_idx";
+
+-- DropIndex
+DROP INDEX "StoreListingVersion_agentId_agentVersion_isDeleted_idx";
diff --git a/autogpt_platform/backend/migrations/20250316095525_remove_graph_template/migration.sql b/autogpt_platform/backend/migrations/20250316095525_remove_graph_template/migration.sql
new file mode 100644
index 000000000000..2a9e29cfb814
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250316095525_remove_graph_template/migration.sql
@@ -0,0 +1,8 @@
+/*
+  Warnings:
+
+  - You are about to drop the column `isTemplate` on the `AgentGraph` table. All the data in the column will be lost.
+
+*/
+-- AlterTable
+ALTER TABLE "AgentGraph" DROP COLUMN "isTemplate";
diff --git a/autogpt_platform/backend/migrations/20250318043016_update_store_submissions_format/migration.sql b/autogpt_platform/backend/migrations/20250318043016_update_store_submissions_format/migration.sql
new file mode 100644
index 000000000000..c8c7edac7087
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250318043016_update_store_submissions_format/migration.sql
@@ -0,0 +1,372 @@
+/*
+  Warnings:
+
+  - The enum type "SubmissionStatus" will be replaced. The 'DAFT' value is removed, so any data using 'DAFT' will be updated to 'DRAFT'. If there are rows still expecting 'DAFT' after this change, it will fail.
+  - You are about to drop the column "isApproved" on the "StoreListing" table. All the data in that column will be lost.
+  - You are about to drop the column "slug" on the "StoreListingVersion" table. All the data in that column will be lost.
+  - You are about to drop the "StoreListingSubmission" table. Data in that table (beyond what is copied over) will be permanently lost.
+  - A unique constraint covering the column "activeVersionId" on the "StoreListing" table will be added. If duplicates already exist, this will fail.
+  - A unique constraint covering the columns ("storeListingId","version") on "StoreListingVersion" will be added. If duplicates already exist, this will fail.
+  - The "storeListingId" column on "StoreListingVersion" is set to NOT NULL. If any rows currently have a NULL value, this step will fail.
+  - The views "StoreSubmission", "StoreAgent", and "Creator" are dropped and recreated. Any usage or references to them will be momentarily disrupted until the views are recreated.
+*/
+
+BEGIN;
+
+-- First, drop all views that depend on the columns and types we're modifying
+DROP VIEW IF EXISTS "StoreSubmission";
+DROP VIEW IF EXISTS "StoreAgent";
+DROP VIEW IF EXISTS "Creator";
+
+-- Create the new enum type
+CREATE TYPE "SubmissionStatus_new" AS ENUM ('DRAFT', 'PENDING', 'APPROVED', 'REJECTED');
+
+-- Modify the column with the correct casing (Status with capital S)
+ALTER TABLE "StoreListingSubmission" ALTER COLUMN "Status" DROP DEFAULT;
+ALTER TABLE "StoreListingSubmission"
+    ALTER COLUMN "Status" TYPE "SubmissionStatus_new"
+    USING (
+      CASE WHEN "Status"::text = 'DAFT' THEN 'DRAFT'::text
+           ELSE "Status"::text
+      END
+    )::"SubmissionStatus_new";
+
+-- Rename the enum types
+ALTER TYPE "SubmissionStatus" RENAME TO "SubmissionStatus_old";
+ALTER TYPE "SubmissionStatus_new" RENAME TO "SubmissionStatus";
+DROP TYPE "SubmissionStatus_old";
+
+-- Set default back
+ALTER TABLE "StoreListingSubmission" ALTER COLUMN "Status" SET DEFAULT 'PENDING';
+
+-- Drop constraints
+ALTER TABLE "StoreListingSubmission" DROP CONSTRAINT IF EXISTS "StoreListingSubmission_reviewerId_fkey";
+
+-- Drop indexes
+DROP INDEX IF EXISTS "StoreListing_isDeleted_isApproved_idx";
+DROP INDEX IF EXISTS "StoreListingSubmission_storeListingVersionId_key";
+
+-- Modify StoreListing
+ALTER TABLE "StoreListing"
+    DROP COLUMN IF EXISTS "isApproved",
+    ADD COLUMN IF NOT EXISTS "activeVersionId" TEXT,
+    ADD COLUMN IF NOT EXISTS "hasApprovedVersion" BOOLEAN NOT NULL DEFAULT false,
+    ADD COLUMN IF NOT EXISTS "slug" TEXT;
+
+-- First add ALL columns to StoreListingVersion (including the submissionStatus column)
+ALTER TABLE "StoreListingVersion"
+    ADD COLUMN IF NOT EXISTS "reviewerId" TEXT,
+    ADD COLUMN IF NOT EXISTS "reviewComments" TEXT,
+    ADD COLUMN IF NOT EXISTS "internalComments" TEXT,
+    ADD COLUMN IF NOT EXISTS "reviewedAt" TIMESTAMP(3),
+    ADD COLUMN IF NOT EXISTS "changesSummary" TEXT,
+    ADD COLUMN IF NOT EXISTS "submissionStatus" "SubmissionStatus" NOT NULL DEFAULT 'DRAFT',
+    ADD COLUMN IF NOT EXISTS "submittedAt" TIMESTAMP(3),
+    ALTER COLUMN "storeListingId" SET NOT NULL;
+
+-- NOW copy data from StoreListingSubmission to StoreListingVersion
+DO $$
+BEGIN
+    -- First, check what columns actually exist in the StoreListingSubmission table
+    DECLARE
+        has_reviewerId BOOLEAN := (
+            SELECT EXISTS (
+                SELECT FROM information_schema.columns
+                WHERE table_name = 'StoreListingSubmission'
+                AND column_name = 'reviewerId'
+            )
+        );
+
+        has_reviewComments BOOLEAN := (
+            SELECT EXISTS (
+                SELECT FROM information_schema.columns
+                WHERE table_name = 'StoreListingSubmission'
+                AND column_name = 'reviewComments'
+            )
+        );
+
+        has_changesSummary BOOLEAN := (
+            SELECT EXISTS (
+                SELECT FROM information_schema.columns
+                WHERE table_name = 'StoreListingSubmission'
+                AND column_name = 'changesSummary'
+            )
+        );
+    BEGIN
+        -- Only copy fields that we know exist
+        IF has_reviewerId THEN
+            UPDATE "StoreListingVersion" AS v
+            SET "reviewerId" = s."reviewerId"
+            FROM "StoreListingSubmission" AS s
+            WHERE v."id" = s."storeListingVersionId";
+        END IF;
+
+        IF has_reviewComments THEN
+            UPDATE "StoreListingVersion" AS v
+            SET "reviewComments" = s."reviewComments"
+            FROM "StoreListingSubmission" AS s
+            WHERE v."id" = s."storeListingVersionId";
+        END IF;
+
+        IF has_changesSummary THEN
+            UPDATE "StoreListingVersion" AS v
+            SET "changesSummary" = s."changesSummary"
+            FROM "StoreListingSubmission" AS s
+            WHERE v."id" = s."storeListingVersionId";
+        END IF;
+    END;
+
+    -- Update submission status based on StoreListingSubmission status
+    UPDATE "StoreListingVersion" AS v
+    SET "submissionStatus" = s."Status"
+    FROM "StoreListingSubmission" AS s
+    WHERE v."id" = s."storeListingVersionId";
+
+    -- Update reviewedAt timestamps for versions with APPROVED or REJECTED status
+    UPDATE "StoreListingVersion" AS v
+    SET "reviewedAt" = s."updatedAt"
+    FROM "StoreListingSubmission" AS s
+    WHERE v."id" = s."storeListingVersionId"
+      AND s."Status" IN ('APPROVED', 'REJECTED');
+END;
+$$;
+
+-- Drop the StoreListingSubmission table
+DROP TABLE IF EXISTS "StoreListingSubmission";
+
+-- Copy slugs from StoreListingVersion to StoreListing
+WITH latest_versions AS (
+    SELECT
+        "storeListingId",
+        "slug",
+        ROW_NUMBER() OVER (PARTITION BY "storeListingId" ORDER BY "version" DESC) as rn
+    FROM "StoreListingVersion"
+)
+UPDATE "StoreListing" sl
+SET "slug" = lv."slug"
+FROM latest_versions lv
+WHERE sl."id" = lv."storeListingId"
+  AND lv.rn = 1;
+
+-- Make StoreListing.slug required and unique
+ALTER TABLE "StoreListing" ALTER COLUMN "slug" SET NOT NULL;
+CREATE UNIQUE INDEX "StoreListing_owningUserId_slug_key" ON "StoreListing"("owningUserId", "slug");
+DROP INDEX "StoreListing_owningUserId_idx";
+
+-- Drop the slug column from StoreListingVersion since it's now on StoreListing
+ALTER TABLE "StoreListingVersion" DROP COLUMN "slug";
+
+-- Update both sides of the relation from one-to-one to one-to-many
+-- The AgentGraph->StoreListingVersion relationship is now one-to-many
+
+-- Drop the unique constraint but add a non-unique index for query performance
+ALTER TABLE "StoreListingVersion" DROP CONSTRAINT IF EXISTS "StoreListingVersion_agentId_agentVersion_key";
+CREATE INDEX IF NOT EXISTS "StoreListingVersion_agentId_agentVersion_idx"
+    ON "StoreListingVersion"("agentId", "agentVersion");
+
+-- Set isApproved based on submissionStatus before removing it
+UPDATE "StoreListingVersion"
+SET "submissionStatus" = 'APPROVED'
+WHERE "isApproved" = true;
+
+-- Drop the isApproved column from StoreListingVersion since it's redundant with submissionStatus
+ALTER TABLE "StoreListingVersion" DROP COLUMN "isApproved";
+
+-- Initialize hasApprovedVersion for existing StoreListing rows ***
+-- This sets "hasApprovedVersion" = TRUE for any StoreListing
+-- that has at least one corresponding version with "APPROVED" status.
+UPDATE "StoreListing" sl
+SET "hasApprovedVersion" = (
+  SELECT COUNT(*) > 0
+  FROM "StoreListingVersion" slv
+  WHERE slv."storeListingId" = sl.id
+    AND slv."submissionStatus" = 'APPROVED'
+    AND sl."agentId" = slv."agentId"
+    AND sl."agentVersion" = slv."agentVersion"
+);
+
+-- Create new indexes
+CREATE UNIQUE INDEX IF NOT EXISTS "StoreListing_activeVersionId_key"
+    ON "StoreListing"("activeVersionId");
+
+CREATE INDEX IF NOT EXISTS "StoreListing_isDeleted_hasApprovedVersion_idx"
+    ON "StoreListing"("isDeleted", "hasApprovedVersion");
+
+CREATE INDEX IF NOT EXISTS "StoreListingVersion_storeListingId_submissionStatus_isAvailable_idx"
+    ON "StoreListingVersion"("storeListingId", "submissionStatus", "isAvailable");
+
+CREATE INDEX IF NOT EXISTS "StoreListingVersion_submissionStatus_idx"
+    ON "StoreListingVersion"("submissionStatus");
+
+CREATE UNIQUE INDEX IF NOT EXISTS "StoreListingVersion_storeListingId_version_key"
+    ON "StoreListingVersion"("storeListingId", "version");
+
+-- Add foreign keys
+ALTER TABLE "StoreListing"
+ADD CONSTRAINT "StoreListing_activeVersionId_fkey"
+FOREIGN KEY ("activeVersionId") REFERENCES "StoreListingVersion"("id")
+ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- Add reviewer foreign key
+ALTER TABLE "StoreListingVersion"
+ADD CONSTRAINT "StoreListingVersion_reviewerId_fkey"
+FOREIGN KEY ("reviewerId") REFERENCES "User"("id")
+ON DELETE SET NULL ON UPDATE CASCADE;
+
+-- Add index for reviewer
+CREATE INDEX IF NOT EXISTS "StoreListingVersion_reviewerId_idx"
+    ON "StoreListingVersion"("reviewerId");
+
+-- DropIndex
+DROP INDEX "StoreListingVersion_agentId_agentVersion_key";
+
+-- RenameIndex
+ALTER INDEX "StoreListingVersion_storeListingId_submissionStatus_isAvailable_idx"
+RENAME TO "StoreListingVersion_storeListingId_submissionStatus_isAvail_idx";
+
+-- Recreate the views with updated column references
+
+-- 1. Recreate StoreSubmission view
+CREATE VIEW "StoreSubmission" AS
+SELECT
+    sl.id AS listing_id,
+    sl."owningUserId" AS user_id,
+    slv."agentId" AS agent_id,
+    slv.version AS agent_version,
+    sl.slug,
+    COALESCE(slv.name, '') AS name,
+    slv."subHeading" AS sub_heading,
+    slv.description,
+    slv."imageUrls" AS image_urls,
+    slv."submittedAt" AS date_submitted,
+    slv."submissionStatus" AS status,
+    COALESCE(ar.run_count, 0::bigint) AS runs,
+    COALESCE(avg(sr.score::numeric), 0.0)::double precision AS rating,
+    -- Add the additional fields needed by the Pydantic model
+    slv.id AS store_listing_version_id,
+    slv."reviewerId" AS reviewer_id,
+    slv."reviewComments" AS review_comments,
+    slv."internalComments" AS internal_comments,
+    slv."reviewedAt" AS reviewed_at,
+    slv."changesSummary" AS changes_summary
+FROM "StoreListing" sl
+    JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id
+    LEFT JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id
+    LEFT JOIN (
+        SELECT "AgentGraphExecution"."agentGraphId", count(*) AS run_count
+        FROM "AgentGraphExecution"
+        GROUP BY "AgentGraphExecution"."agentGraphId"
+    ) ar ON ar."agentGraphId" = slv."agentId"
+WHERE sl."isDeleted" = false
+GROUP BY sl.id, sl."owningUserId", slv.id, slv."agentId", slv.version, sl.slug, slv.name,
+         slv."subHeading", slv.description, slv."imageUrls", slv."submittedAt",
+         slv."submissionStatus", slv."reviewerId", slv."reviewComments", slv."internalComments",
+         slv."reviewedAt", slv."changesSummary", ar.run_count;
+
+-- 2. Recreate StoreAgent view
+CREATE VIEW "StoreAgent" AS
+WITH reviewstats AS (
+    SELECT sl_1.id AS "storeListingId",
+           count(sr.id) AS review_count,
+           avg(sr.score::numeric) AS avg_rating
+      FROM "StoreListing" sl_1
+      JOIN "StoreListingVersion" slv_1
+           ON slv_1."storeListingId" = sl_1.id
+      JOIN "StoreListingReview" sr
+           ON sr."storeListingVersionId" = slv_1.id
+     WHERE sl_1."isDeleted" = false
+     GROUP BY sl_1.id
+), agentruns AS (
+    SELECT "AgentGraphExecution"."agentGraphId",
+           count(*) AS run_count
+      FROM "AgentGraphExecution"
+     GROUP BY "AgentGraphExecution"."agentGraphId"
+)
+SELECT sl.id AS listing_id,
+       slv.id AS "storeListingVersionId",
+       slv."createdAt" AS updated_at,
+       sl.slug,
+       COALESCE(slv.name, '') AS agent_name,
+       slv."videoUrl" AS agent_video,
+       COALESCE(slv."imageUrls", ARRAY[]::text[]) AS agent_image,
+       slv."isFeatured" AS featured,
+       p.username AS creator_username,
+       p."avatarUrl" AS creator_avatar,
+       slv."subHeading" AS sub_heading,
+       slv.description,
+       slv.categories,
+       COALESCE(ar.run_count, 0::bigint) AS runs,
+       COALESCE(rs.avg_rating, 0.0)::double precision AS rating,
+       array_agg(DISTINCT slv.version::text) AS versions
+  FROM "StoreListing" sl
+  JOIN "AgentGraph" a
+       ON sl."agentId" = a.id
+      AND sl."agentVersion" = a.version
+  LEFT JOIN "Profile" p
+       ON sl."owningUserId" = p."userId"
+  LEFT JOIN "StoreListingVersion" slv
+       ON slv."storeListingId" = sl.id
+  LEFT JOIN reviewstats rs
+       ON sl.id = rs."storeListingId"
+  LEFT JOIN agentruns ar
+       ON a.id = ar."agentGraphId"
+ WHERE sl."isDeleted" = false
+   AND sl."hasApprovedVersion" = true
+   AND slv."submissionStatus" = 'APPROVED'
+ GROUP BY sl.id, slv.id, sl.slug, slv."createdAt", slv.name, slv."videoUrl",
+          slv."imageUrls", slv."isFeatured", p.username, p."avatarUrl",
+          slv."subHeading", slv.description, slv.categories, ar.run_count,
+          rs.avg_rating;
+
+-- 3. Recreate Creator view
+CREATE VIEW "Creator" AS
+WITH agentstats AS (
+    SELECT p_1.username,
+           count(DISTINCT sl.id) AS num_agents,
+           avg(COALESCE(sr.score, 0)::numeric) AS agent_rating,
+           sum(COALESCE(age.run_count, 0::bigint)) AS agent_runs
+      FROM "Profile" p_1
+ LEFT JOIN "StoreListing" sl
+        ON sl."owningUserId" = p_1."userId"
+ LEFT JOIN "StoreListingVersion" slv
+        ON slv."storeListingId" = sl.id
+ LEFT JOIN "StoreListingReview" sr
+        ON sr."storeListingVersionId" = slv.id
+ LEFT JOIN (
+          SELECT "AgentGraphExecution"."agentGraphId",
+                 count(*) AS run_count
+            FROM "AgentGraphExecution"
+        GROUP BY "AgentGraphExecution"."agentGraphId"
+      ) age ON age."agentGraphId" = sl."agentId"
+     WHERE sl."isDeleted" = false
+       AND sl."hasApprovedVersion" = true
+       AND slv."submissionStatus" = 'APPROVED'
+  GROUP BY p_1.username
+)
+SELECT p.username,
+       p.name,
+       p."avatarUrl" AS avatar_url,
+       p.description,
+       array_agg(DISTINCT cats.c) FILTER (WHERE cats.c IS NOT NULL) AS top_categories,
+       p.links,
+       p."isFeatured" AS is_featured,
+       COALESCE(ast.num_agents, 0::bigint) AS num_agents,
+       COALESCE(ast.agent_rating, 0.0) AS agent_rating,
+       COALESCE(ast.agent_runs, 0::numeric) AS agent_runs
+  FROM "Profile" p
+  LEFT JOIN agentstats ast
+         ON ast.username = p.username
+  LEFT JOIN LATERAL (
+          SELECT unnest(slv.categories) AS c
+            FROM "StoreListing" sl
+            JOIN "StoreListingVersion" slv
+                 ON slv."storeListingId" = sl.id
+           WHERE sl."owningUserId" = p."userId"
+             AND sl."isDeleted" = false
+             AND sl."hasApprovedVersion" = true
+             AND slv."submissionStatus" = 'APPROVED'
+       ) cats ON true
+ GROUP BY p.username, p.name, p."avatarUrl", p.description, p.links,
+          p."isFeatured", ast.num_agents, ast.agent_rating, ast.agent_runs;
+
+COMMIT;
diff --git a/autogpt_platform/backend/migrations/20250325100000_update_user_onboarding/migration.sql b/autogpt_platform/backend/migrations/20250325100000_update_user_onboarding/migration.sql
new file mode 100644
index 000000000000..cf221c9d7430
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250325100000_update_user_onboarding/migration.sql
@@ -0,0 +1,19 @@
+-- Create OnboardingStep enum
+CREATE TYPE "OnboardingStep" AS ENUM (
+  'WELCOME',
+  'USAGE_REASON',
+  'INTEGRATIONS',
+  'AGENT_CHOICE',
+  'AGENT_NEW_RUN',
+  'AGENT_INPUT',
+  'CONGRATS'
+);
+
+-- Modify the UserOnboarding table
+ALTER TABLE "UserOnboarding"
+  DROP COLUMN "step",
+  DROP COLUMN "isCompleted",
+  DROP COLUMN "selectedAgentCreator",
+  DROP COLUMN "selectedAgentSlug",
+  ADD COLUMN "completedSteps" "OnboardingStep"[] DEFAULT '{}',
+  ADD COLUMN "selectedStoreListingVersionId" TEXT
diff --git a/autogpt_platform/backend/migrations/20250407181043_refactor_store_relations/migration.sql b/autogpt_platform/backend/migrations/20250407181043_refactor_store_relations/migration.sql
new file mode 100644
index 000000000000..ef67c19031e5
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250407181043_refactor_store_relations/migration.sql
@@ -0,0 +1,35 @@
+/*
+- Rename column StoreListing.agentId      to agentGraphId
+- Rename column StoreListing.agentVersion to agentGraphVersion
+- Rename column StoreListingVersion.agentId      to agentGraphId
+- Rename column StoreListingVersion.agentVersion to agentGraphVersion
+*/
+
+-- Drop foreign key constraints on columns we're about to rename
+ALTER TABLE "StoreListing" DROP CONSTRAINT "StoreListing_agentId_agentVersion_fkey";
+ALTER TABLE "StoreListingVersion" DROP CONSTRAINT "StoreListingVersion_agentId_agentVersion_fkey";
+
+-- Drop indices on columns we're about to rename
+DROP INDEX "StoreListing_agentId_key";
+DROP INDEX "StoreListingVersion_agentId_agentVersion_idx";
+
+-- Rename columns
+ALTER TABLE "StoreListing" RENAME COLUMN "agentId" TO "agentGraphId";
+ALTER TABLE "StoreListing" RENAME COLUMN "agentVersion" TO "agentGraphVersion";
+ALTER TABLE "StoreListingVersion" RENAME COLUMN "agentId" TO "agentGraphId";
+ALTER TABLE "StoreListingVersion" RENAME COLUMN "agentVersion" TO "agentGraphVersion";
+
+-- Re-create indices with updated name on renamed columns
+CREATE UNIQUE INDEX "StoreListing_agentGraphId_key" ON "StoreListing"("agentGraphId");
+CREATE INDEX "StoreListingVersion_agentGraphId_agentGraphVersion_idx" ON "StoreListingVersion"("agentGraphId", "agentGraphVersion");
+
+-- Re-create foreign key constraints with updated name on renamed columns
+ALTER TABLE "StoreListing" ADD CONSTRAINT "StoreListing_agentGraphId_agentGraphVersion_fkey"
+FOREIGN KEY ("agentGraphId", "agentGraphVersion") REFERENCES "AgentGraph"("id", "version")
+ON DELETE CASCADE
+ON UPDATE CASCADE;
+
+ALTER TABLE "StoreListingVersion" ADD CONSTRAINT "StoreListingVersion_agentGraphId_agentGraphVersion_fkey"
+FOREIGN KEY ("agentGraphId", "agentGraphVersion") REFERENCES "AgentGraph"("id", "version")
+ON DELETE RESTRICT
+ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250411130000_update_onboarding_step/migration.sql b/autogpt_platform/backend/migrations/20250411130000_update_onboarding_step/migration.sql
new file mode 100644
index 000000000000..d4b80091e0dd
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250411130000_update_onboarding_step/migration.sql
@@ -0,0 +1,16 @@
+-- Modify the OnboardingStep enum
+ALTER TYPE "OnboardingStep" ADD VALUE 'GET_RESULTS';
+ALTER TYPE "OnboardingStep" ADD VALUE 'MARKETPLACE_VISIT';
+ALTER TYPE "OnboardingStep" ADD VALUE 'MARKETPLACE_ADD_AGENT';
+ALTER TYPE "OnboardingStep" ADD VALUE 'MARKETPLACE_RUN_AGENT';
+ALTER TYPE "OnboardingStep" ADD VALUE 'BUILDER_OPEN';
+ALTER TYPE "OnboardingStep" ADD VALUE 'BUILDER_SAVE_AGENT';
+ALTER TYPE "OnboardingStep" ADD VALUE 'BUILDER_RUN_AGENT';
+
+-- Modify the UserOnboarding table
+ALTER TABLE "UserOnboarding"
+  ADD COLUMN "updatedAt" TIMESTAMP(3),
+  ADD COLUMN "notificationDot" BOOLEAN NOT NULL DEFAULT true,
+  ADD COLUMN "notified" "OnboardingStep"[] DEFAULT '{}',
+  ADD COLUMN "rewardedFor" "OnboardingStep"[] DEFAULT '{}',
+  ADD COLUMN "onboardingAgentExecutionId" TEXT
diff --git a/autogpt_platform/backend/migrations/20250416140000_make_arrays_not_null/migration.sql b/autogpt_platform/backend/migrations/20250416140000_make_arrays_not_null/migration.sql
new file mode 100644
index 000000000000..89aacc3fea45
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250416140000_make_arrays_not_null/migration.sql
@@ -0,0 +1,56 @@
+-- Backfill nulls with empty arrays
+UPDATE "UserOnboarding"
+SET "integrations" = ARRAY[]::TEXT[]
+WHERE "integrations" IS NULL;
+
+UPDATE "UserOnboarding"
+SET "completedSteps" = '{}' 
+WHERE "completedSteps" IS NULL;
+
+UPDATE "UserOnboarding"
+SET "notified" = '{}' 
+WHERE "notified" IS NULL;
+
+UPDATE "UserOnboarding"
+SET "rewardedFor" = '{}' 
+WHERE "rewardedFor" IS NULL;
+
+UPDATE "IntegrationWebhook"
+SET "events" = ARRAY[]::TEXT[]
+WHERE "events" IS NULL;
+
+UPDATE "APIKey"
+SET "permissions" = '{}' 
+WHERE "permissions" IS NULL;
+
+UPDATE "Profile"
+SET "links" = ARRAY[]::TEXT[]
+WHERE "links" IS NULL;
+
+UPDATE "StoreListingVersion"
+SET "imageUrls" = ARRAY[]::TEXT[]
+WHERE "imageUrls" IS NULL;
+
+UPDATE "StoreListingVersion"
+SET "categories" = ARRAY[]::TEXT[]
+WHERE "categories" IS NULL;
+
+-- Enforce NOT NULL constraints
+ALTER TABLE "UserOnboarding"
+    ALTER COLUMN "integrations" SET NOT NULL,
+    ALTER COLUMN "completedSteps" SET NOT NULL,
+    ALTER COLUMN "notified" SET NOT NULL,
+    ALTER COLUMN "rewardedFor" SET NOT NULL;
+
+ALTER TABLE "IntegrationWebhook"
+    ALTER COLUMN "events" SET NOT NULL;
+
+ALTER TABLE "APIKey"
+    ALTER COLUMN "permissions" SET NOT NULL;
+
+ALTER TABLE "Profile"
+    ALTER COLUMN "links" SET NOT NULL;
+
+ALTER TABLE "StoreListingVersion"
+    ALTER COLUMN "imageUrls" SET NOT NULL,
+    ALTER COLUMN "categories" SET NOT NULL;
diff --git a/autogpt_platform/backend/migrations/20250422125822_add_forked_relation/migration.sql b/autogpt_platform/backend/migrations/20250422125822_add_forked_relation/migration.sql
new file mode 100644
index 000000000000..cc3e1256bb31
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250422125822_add_forked_relation/migration.sql
@@ -0,0 +1,7 @@
+-- AlterTable
+ALTER TABLE "AgentGraph"
+    ADD COLUMN     "forkedFromId" TEXT,
+    ADD COLUMN     "forkedFromVersion" INTEGER;
+
+-- AddForeignKey
+ALTER TABLE "AgentGraph" ADD CONSTRAINT "AgentGraph_forkedFromId_forkedFromVersion_fkey" FOREIGN KEY ("forkedFromId", "forkedFromVersion") REFERENCES "AgentGraph"("id", "version") ON DELETE SET NULL ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250507025350_execution_created_at_index/migration.sql b/autogpt_platform/backend/migrations/20250507025350_execution_created_at_index/migration.sql
new file mode 100644
index 000000000000..71e61d23949b
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250507025350_execution_created_at_index/migration.sql
@@ -0,0 +1,5 @@
+-- CreateIndex
+CREATE INDEX "AgentGraphExecution_createdAt_idx" ON "AgentGraphExecution"("createdAt");
+
+-- CreateIndex
+CREATE INDEX "AgentNodeExecution_addedTime_idx" ON "AgentNodeExecution"("addedTime");
diff --git a/autogpt_platform/backend/migrations/20250512104735_rename_agent_executor_node_input/migration.sql b/autogpt_platform/backend/migrations/20250512104735_rename_agent_executor_node_input/migration.sql
new file mode 100644
index 000000000000..a5d7dc496ded
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250512104735_rename_agent_executor_node_input/migration.sql
@@ -0,0 +1,9 @@
+-- Rename 'data' input to 'inputs' on all Agent Executor nodes
+UPDATE "AgentNode" AS node
+SET    "constantInput" = jsonb_set(
+         "constantInput",
+         '{inputs}',
+         "constantInput"->'data'
+       ) - 'data'
+WHERE  node."agentBlockId" = 'e189baac-8c20-45a1-94a7-55177ea42565'
+AND    node."constantInput" ? 'data';
diff --git a/autogpt_platform/backend/migrations/20250527091422_node_execution_indexes/migration.sql b/autogpt_platform/backend/migrations/20250527091422_node_execution_indexes/migration.sql
new file mode 100644
index 000000000000..c3e9b0a29f24
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250527091422_node_execution_indexes/migration.sql
@@ -0,0 +1,20 @@
+-- DropIndex
+DROP INDEX "AgentNodeExecution_addedTime_idx";
+
+-- DropIndex
+DROP INDEX "AgentNodeExecution_agentGraphExecutionId_idx";
+
+-- DropIndex
+DROP INDEX "AgentNodeExecution_agentNodeId_idx";
+
+-- CreateIndex
+CREATE INDEX "AgentNodeExecution_agentGraphExecutionId_agentNodeId_execut_idx" ON "AgentNodeExecution"("agentGraphExecutionId", "agentNodeId", "executionStatus");
+
+-- CreateIndex
+CREATE INDEX "AgentNodeExecution_addedTime_queuedTime_idx" ON "AgentNodeExecution"("addedTime", "queuedTime");
+
+-- CreateIndex
+CREATE INDEX "AgentNodeExecutionInputOutput_name_time_idx" ON "AgentNodeExecutionInputOutput"("name", "time");
+
+-- CreateIndex
+CREATE INDEX "NotificationEvent_userNotificationBatchId_idx" ON "NotificationEvent"("userNotificationBatchId");
diff --git a/autogpt_platform/backend/migrations/20250528092000_onboarding_add_runs/migration.sql b/autogpt_platform/backend/migrations/20250528092000_onboarding_add_runs/migration.sql
new file mode 100644
index 000000000000..544e51b8f84e
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250528092000_onboarding_add_runs/migration.sql
@@ -0,0 +1,5 @@
+-- AlterEnum
+ALTER TYPE "OnboardingStep" ADD VALUE 'RUN_AGENTS';
+
+-- AlterTable
+ALTER TABLE "UserOnboarding" ADD COLUMN "agentRuns" INTEGER NOT NULL DEFAULT 0;
diff --git a/autogpt_platform/backend/migrations/20250604130249_optimise_store_agent_and_creator_views/migration.sql b/autogpt_platform/backend/migrations/20250604130249_optimise_store_agent_and_creator_views/migration.sql
new file mode 100644
index 000000000000..78c6a1e7890a
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250604130249_optimise_store_agent_and_creator_views/migration.sql
@@ -0,0 +1,254 @@
+-- This migration creates materialized views for performance optimization
+-- 
+-- IMPORTANT: For production environments, pg_cron is REQUIRED for automatic refresh
+-- Prerequisites for production:
+--   1. pg_cron extension must be installed: CREATE EXTENSION pg_cron;
+--   2. pg_cron must be configured in postgresql.conf:
+--      shared_preload_libraries = 'pg_cron'
+--      cron.database_name = 'your_database_name'
+--
+-- For development environments without pg_cron:
+--   The migration will succeed but you must manually refresh views with:
+--   SELECT refresh_store_materialized_views();
+
+-- Check if pg_cron extension is installed and set a flag
+DO $$
+DECLARE
+    has_pg_cron BOOLEAN;
+BEGIN
+    SELECT EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'pg_cron') INTO has_pg_cron;
+    
+    IF NOT has_pg_cron THEN
+        RAISE WARNING 'pg_cron extension is not installed!';
+        RAISE WARNING 'Materialized views will be created but WILL NOT refresh automatically.';
+        RAISE WARNING 'For production use, install pg_cron with: CREATE EXTENSION pg_cron;';
+        RAISE WARNING 'For development, manually refresh with: SELECT refresh_store_materialized_views();';
+        
+        -- For production deployments, uncomment the following line to make pg_cron mandatory:
+        -- RAISE EXCEPTION 'pg_cron is required for production deployments';
+    END IF;
+    
+    -- Store the flag for later use in the migration
+    PERFORM set_config('migration.has_pg_cron', has_pg_cron::text, false);
+END
+$$;
+
+-- CreateIndex
+-- Optimized: Only include owningUserId in index columns since isDeleted and hasApprovedVersion are in WHERE clause
+CREATE INDEX IF NOT EXISTS "idx_store_listing_approved" ON "StoreListing"("owningUserId") WHERE "isDeleted" = false AND "hasApprovedVersion" = true;
+
+-- CreateIndex
+-- Optimized: Only include storeListingId since submissionStatus is in WHERE clause
+CREATE INDEX IF NOT EXISTS "idx_store_listing_version_status" ON "StoreListingVersion"("storeListingId") WHERE "submissionStatus" = 'APPROVED';
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "idx_slv_categories_gin" ON "StoreListingVersion" USING GIN ("categories") WHERE "submissionStatus" = 'APPROVED';
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "idx_slv_agent" ON "StoreListingVersion"("agentGraphId", "agentGraphVersion") WHERE "submissionStatus" = 'APPROVED';
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "idx_store_listing_review_version" ON "StoreListingReview"("storeListingVersionId");
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "idx_agent_graph_execution_agent" ON "AgentGraphExecution"("agentGraphId");
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "idx_profile_user" ON "Profile"("userId");
+
+-- Additional performance indexes
+CREATE INDEX IF NOT EXISTS "idx_store_listing_version_approved_listing" ON "StoreListingVersion"("storeListingId", "version") WHERE "submissionStatus" = 'APPROVED';
+
+-- Create materialized view for agent run counts
+CREATE MATERIALIZED VIEW IF NOT EXISTS "mv_agent_run_counts" AS
+SELECT 
+    "agentGraphId", 
+    COUNT(*) AS run_count
+FROM "AgentGraphExecution"
+GROUP BY "agentGraphId";
+
+-- CreateIndex
+CREATE UNIQUE INDEX IF NOT EXISTS "idx_mv_agent_run_counts" ON "mv_agent_run_counts"("agentGraphId");
+
+-- Create materialized view for review statistics
+CREATE MATERIALIZED VIEW IF NOT EXISTS "mv_review_stats" AS
+SELECT 
+    sl.id AS "storeListingId",
+    COUNT(sr.id) AS review_count,
+    AVG(sr.score::numeric) AS avg_rating
+FROM "StoreListing" sl
+JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id
+LEFT JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id
+WHERE sl."isDeleted" = false
+  AND slv."submissionStatus" = 'APPROVED'
+GROUP BY sl.id;
+
+-- CreateIndex
+CREATE UNIQUE INDEX IF NOT EXISTS "idx_mv_review_stats" ON "mv_review_stats"("storeListingId");
+
+-- DropForeignKey (if any exist on the views)
+-- None needed as views don't have foreign keys
+
+-- DropView
+DROP VIEW IF EXISTS "Creator";
+
+-- DropView
+DROP VIEW IF EXISTS "StoreAgent";
+
+-- CreateView
+CREATE OR REPLACE VIEW "StoreAgent" AS
+WITH agent_versions AS (
+    SELECT 
+        "storeListingId",
+        array_agg(DISTINCT version::text ORDER BY version::text) AS versions
+    FROM "StoreListingVersion"
+    WHERE "submissionStatus" = 'APPROVED'
+    GROUP BY "storeListingId"
+)
+SELECT
+    sl.id AS listing_id,
+    slv.id AS "storeListingVersionId",
+    slv."createdAt" AS updated_at,
+    sl.slug,
+    COALESCE(slv.name, '') AS agent_name,
+    slv."videoUrl" AS agent_video,
+    COALESCE(slv."imageUrls", ARRAY[]::text[]) AS agent_image,
+    slv."isFeatured" AS featured,
+    p.username AS creator_username,
+    p."avatarUrl" AS creator_avatar,
+    slv."subHeading" AS sub_heading,
+    slv.description,
+    slv.categories,
+    COALESCE(ar.run_count, 0::bigint) AS runs,
+    COALESCE(rs.avg_rating, 0.0)::double precision AS rating,
+    COALESCE(av.versions, ARRAY[slv.version::text]) AS versions
+FROM "StoreListing" sl
+INNER JOIN "StoreListingVersion" slv 
+    ON slv."storeListingId" = sl.id 
+    AND slv."submissionStatus" = 'APPROVED'
+JOIN "AgentGraph" a 
+    ON slv."agentGraphId" = a.id 
+    AND slv."agentGraphVersion" = a.version
+LEFT JOIN "Profile" p 
+    ON sl."owningUserId" = p."userId"
+LEFT JOIN "mv_review_stats" rs 
+    ON sl.id = rs."storeListingId"
+LEFT JOIN "mv_agent_run_counts" ar 
+    ON a.id = ar."agentGraphId"
+LEFT JOIN agent_versions av 
+    ON sl.id = av."storeListingId"
+WHERE sl."isDeleted" = false
+  AND sl."hasApprovedVersion" = true;
+
+-- CreateView
+CREATE OR REPLACE VIEW "Creator" AS
+WITH creator_listings AS (
+    SELECT 
+        sl."owningUserId",
+        sl.id AS listing_id,
+        slv."agentGraphId",
+        slv.categories,
+        sr.score,
+        ar.run_count
+    FROM "StoreListing" sl
+    INNER JOIN "StoreListingVersion" slv 
+        ON slv."storeListingId" = sl.id 
+        AND slv."submissionStatus" = 'APPROVED'
+    LEFT JOIN "StoreListingReview" sr 
+        ON sr."storeListingVersionId" = slv.id
+    LEFT JOIN "mv_agent_run_counts" ar 
+        ON ar."agentGraphId" = slv."agentGraphId"
+    WHERE sl."isDeleted" = false 
+      AND sl."hasApprovedVersion" = true
+),
+creator_stats AS (
+    SELECT 
+        cl."owningUserId",
+        COUNT(DISTINCT cl.listing_id) AS num_agents,
+        AVG(COALESCE(cl.score, 0)::numeric) AS agent_rating,
+        SUM(DISTINCT COALESCE(cl.run_count, 0)) AS agent_runs,
+        array_agg(DISTINCT cat ORDER BY cat) FILTER (WHERE cat IS NOT NULL) AS all_categories
+    FROM creator_listings cl
+    LEFT JOIN LATERAL unnest(COALESCE(cl.categories, ARRAY[]::text[])) AS cat ON true
+    GROUP BY cl."owningUserId"
+)
+SELECT 
+    p.username,
+    p.name,
+    p."avatarUrl" AS avatar_url,
+    p.description,
+    cs.all_categories AS top_categories,
+    p.links,
+    p."isFeatured" AS is_featured,
+    COALESCE(cs.num_agents, 0::bigint) AS num_agents,
+    COALESCE(cs.agent_rating, 0.0) AS agent_rating,
+    COALESCE(cs.agent_runs, 0::numeric) AS agent_runs
+FROM "Profile" p
+LEFT JOIN creator_stats cs ON cs."owningUserId" = p."userId";
+
+-- Create refresh function that works with the current schema
+CREATE OR REPLACE FUNCTION refresh_store_materialized_views()
+RETURNS void 
+LANGUAGE plpgsql
+AS $$
+DECLARE
+    current_schema_name text;
+BEGIN
+    -- Get the current schema
+    current_schema_name := current_schema();
+    
+    -- Use CONCURRENTLY for better performance during refresh
+    EXECUTE format('REFRESH MATERIALIZED VIEW CONCURRENTLY %I."mv_agent_run_counts"', current_schema_name);
+    EXECUTE format('REFRESH MATERIALIZED VIEW CONCURRENTLY %I."mv_review_stats"', current_schema_name);
+    RAISE NOTICE 'Materialized views refreshed in schema % at %', current_schema_name, NOW();
+EXCEPTION 
+    WHEN OTHERS THEN
+        -- Fallback to non-concurrent refresh if concurrent fails
+        EXECUTE format('REFRESH MATERIALIZED VIEW %I."mv_agent_run_counts"', current_schema_name);
+        EXECUTE format('REFRESH MATERIALIZED VIEW %I."mv_review_stats"', current_schema_name);
+        RAISE NOTICE 'Materialized views refreshed (non-concurrent) in schema % at % due to: %', current_schema_name, NOW(), SQLERRM;
+END;
+$$;
+
+-- Initial refresh of materialized views
+SELECT refresh_store_materialized_views();
+
+-- Schedule automatic refresh every 15 minutes (only if pg_cron is available)
+DO $$
+DECLARE
+    has_pg_cron BOOLEAN;
+    current_schema_name text;
+    job_name text;
+BEGIN
+    -- Get the flag we set earlier
+    has_pg_cron := current_setting('migration.has_pg_cron', true)::boolean;
+    
+    -- Get current schema name
+    current_schema_name := current_schema();
+    
+    -- Create a unique job name for this schema
+    job_name := format('refresh-store-views-%s', current_schema_name);
+    
+    IF has_pg_cron THEN
+        -- Try to unschedule existing job (ignore errors if it doesn't exist)
+        BEGIN
+            PERFORM cron.unschedule(job_name);
+        EXCEPTION WHEN OTHERS THEN
+            -- Job doesn't exist, that's fine
+            NULL;
+        END;
+        
+        -- Schedule the refresh job with schema-specific command
+        PERFORM cron.schedule(
+            job_name,
+            '*/15 * * * *',
+            format('SELECT %I.refresh_store_materialized_views();', current_schema_name)
+        );
+        RAISE NOTICE 'Scheduled automatic refresh of materialized views every 15 minutes for schema %', current_schema_name;
+    ELSE
+        RAISE WARNING '⚠️  Automatic refresh NOT configured - pg_cron is not available';
+        RAISE WARNING '⚠️  You must manually refresh views with: SELECT refresh_store_materialized_views();';
+        RAISE WARNING '⚠️  Or install pg_cron for automatic refresh in production';
+    END IF;
+END;
+$$;
\ No newline at end of file
diff --git a/autogpt_platform/backend/migrations/20250604130249_optimise_store_agent_and_creator_views/rollback.sql b/autogpt_platform/backend/migrations/20250604130249_optimise_store_agent_and_creator_views/rollback.sql
new file mode 100644
index 000000000000..4584dbe2d05e
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250604130249_optimise_store_agent_and_creator_views/rollback.sql
@@ -0,0 +1,155 @@
+-- Unschedule cron job (if it exists)
+DO $$
+BEGIN
+    IF EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'pg_cron') THEN
+        PERFORM cron.unschedule('refresh-store-views');
+        RAISE NOTICE 'Unscheduled automatic refresh of materialized views';
+    END IF;
+EXCEPTION
+    WHEN OTHERS THEN
+        RAISE NOTICE 'Could not unschedule cron job (may not exist): %', SQLERRM;
+END;
+$$;
+
+-- DropView
+DROP VIEW IF EXISTS "Creator";
+
+-- DropView  
+DROP VIEW IF EXISTS "StoreAgent";
+
+-- CreateView (restore original StoreAgent)
+CREATE VIEW "StoreAgent" AS
+WITH reviewstats AS (
+    SELECT sl_1.id AS "storeListingId",
+           count(sr.id) AS review_count,
+           avg(sr.score::numeric) AS avg_rating
+      FROM "StoreListing" sl_1
+      JOIN "StoreListingVersion" slv_1
+           ON slv_1."storeListingId" = sl_1.id
+      JOIN "StoreListingReview" sr
+           ON sr."storeListingVersionId" = slv_1.id
+     WHERE sl_1."isDeleted" = false
+     GROUP BY sl_1.id
+), agentruns AS (
+    SELECT "AgentGraphExecution"."agentGraphId",
+           count(*) AS run_count
+      FROM "AgentGraphExecution"
+     GROUP BY "AgentGraphExecution"."agentGraphId"
+)
+SELECT sl.id AS listing_id,
+       slv.id AS "storeListingVersionId",
+       slv."createdAt" AS updated_at,
+       sl.slug,
+       COALESCE(slv.name, '') AS agent_name,
+       slv."videoUrl" AS agent_video,
+       COALESCE(slv."imageUrls", ARRAY[]::text[]) AS agent_image,
+       slv."isFeatured" AS featured,
+       p.username AS creator_username,
+       p."avatarUrl" AS creator_avatar,
+       slv."subHeading" AS sub_heading,
+       slv.description,
+       slv.categories,
+       COALESCE(ar.run_count, 0::bigint) AS runs,
+       COALESCE(rs.avg_rating, 0.0)::double precision AS rating,
+       array_agg(DISTINCT slv.version::text) AS versions
+  FROM "StoreListing" sl
+  JOIN "StoreListingVersion" slv
+       ON slv."storeListingId" = sl.id
+  JOIN "AgentGraph" a
+       ON slv."agentGraphId" = a.id
+      AND slv."agentGraphVersion" = a.version
+  LEFT JOIN "Profile" p
+       ON sl."owningUserId" = p."userId"
+  LEFT JOIN reviewstats rs
+       ON sl.id = rs."storeListingId"
+  LEFT JOIN agentruns ar
+       ON a.id = ar."agentGraphId"
+ WHERE sl."isDeleted" = false
+   AND sl."hasApprovedVersion" = true
+   AND slv."submissionStatus" = 'APPROVED'
+ GROUP BY sl.id, slv.id, sl.slug, slv."createdAt", slv.name, slv."videoUrl",
+          slv."imageUrls", slv."isFeatured", p.username, p."avatarUrl",
+          slv."subHeading", slv.description, slv.categories, ar.run_count,
+          rs.avg_rating;
+
+-- CreateView (restore original Creator)
+CREATE VIEW "Creator" AS
+WITH agentstats AS (
+    SELECT p_1.username,
+           count(DISTINCT sl.id) AS num_agents,
+           avg(COALESCE(sr.score, 0)::numeric) AS agent_rating,
+           sum(COALESCE(age.run_count, 0::bigint)) AS agent_runs
+      FROM "Profile" p_1
+ LEFT JOIN "StoreListing" sl
+        ON sl."owningUserId" = p_1."userId"
+ LEFT JOIN "StoreListingVersion" slv
+        ON slv."storeListingId" = sl.id
+ LEFT JOIN "StoreListingReview" sr
+        ON sr."storeListingVersionId" = slv.id
+ LEFT JOIN (
+          SELECT "AgentGraphExecution"."agentGraphId",
+                 count(*) AS run_count
+            FROM "AgentGraphExecution"
+        GROUP BY "AgentGraphExecution"."agentGraphId"
+      ) age ON age."agentGraphId" = slv."agentGraphId"
+     WHERE sl."isDeleted" = false
+       AND sl."hasApprovedVersion" = true
+       AND slv."submissionStatus" = 'APPROVED'
+  GROUP BY p_1.username
+)
+SELECT p.username,
+       p.name,
+       p."avatarUrl" AS avatar_url,
+       p.description,
+       array_agg(DISTINCT cats.c) FILTER (WHERE cats.c IS NOT NULL) AS top_categories,
+       p.links,
+       p."isFeatured" AS is_featured,
+       COALESCE(ast.num_agents, 0::bigint) AS num_agents,
+       COALESCE(ast.agent_rating, 0.0) AS agent_rating,
+       COALESCE(ast.agent_runs, 0::numeric) AS agent_runs
+  FROM "Profile" p
+  LEFT JOIN agentstats ast
+         ON ast.username = p.username
+  LEFT JOIN LATERAL (
+          SELECT unnest(slv.categories) AS c
+            FROM "StoreListing" sl
+            JOIN "StoreListingVersion" slv
+                 ON slv."storeListingId" = sl.id
+           WHERE sl."owningUserId" = p."userId"
+             AND sl."isDeleted" = false
+             AND sl."hasApprovedVersion" = true
+             AND slv."submissionStatus" = 'APPROVED'
+       ) cats ON true
+ GROUP BY p.username, p.name, p."avatarUrl", p.description, p.links,
+          p."isFeatured", ast.num_agents, ast.agent_rating, ast.agent_runs;
+
+-- Drop function
+DROP FUNCTION IF EXISTS platform.refresh_store_materialized_views();
+
+-- Drop materialized views
+DROP MATERIALIZED VIEW IF EXISTS "mv_review_stats";
+DROP MATERIALIZED VIEW IF EXISTS "mv_agent_run_counts";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_profile_user";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_agent_graph_execution_agent";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_review_version";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_slv_agent";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_slv_categories_gin";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_version_status";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_approved";
+
+-- DropIndex  
+DROP INDEX IF EXISTS "idx_store_listing_version_approved_listing";
\ No newline at end of file
diff --git a/autogpt_platform/backend/migrations/20250620000924_make_data_nullable/migration.sql b/autogpt_platform/backend/migrations/20250620000924_make_data_nullable/migration.sql
new file mode 100644
index 000000000000..54a29f321431
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250620000924_make_data_nullable/migration.sql
@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE "AgentNodeExecutionInputOutput" ALTER COLUMN "data" DROP NOT NULL;
diff --git a/autogpt_platform/backend/migrations/20250620140815_add_preset_webhook_relation/migration.sql b/autogpt_platform/backend/migrations/20250620140815_add_preset_webhook_relation/migration.sql
new file mode 100644
index 000000000000..6720d796a9fb
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250620140815_add_preset_webhook_relation/migration.sql
@@ -0,0 +1,5 @@
+-- Add webhookId column
+ALTER TABLE "AgentPreset" ADD COLUMN     "webhookId" TEXT;
+
+-- Add AgentPreset<->IntegrationWebhook relation
+ALTER TABLE "AgentPreset" ADD CONSTRAINT "AgentPreset_webhookId_fkey" FOREIGN KEY ("webhookId") REFERENCES "IntegrationWebhook"("id") ON DELETE SET NULL ON UPDATE CASCADE;
diff --git a/autogpt_platform/backend/migrations/20250702224504_add_node_exec_kv_data/migration.sql b/autogpt_platform/backend/migrations/20250702224504_add_node_exec_kv_data/migration.sql
new file mode 100644
index 000000000000..ffe1547ff84a
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250702224504_add_node_exec_kv_data/migration.sql
@@ -0,0 +1,11 @@
+-- CreateTable
+CREATE TABLE "AgentNodeExecutionKeyValueData" (
+    "userId" TEXT NOT NULL,
+    "key" TEXT NOT NULL,
+    "agentNodeExecutionId" TEXT NOT NULL,
+    "data" JSONB,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updatedAt" TIMESTAMP(3),
+
+    CONSTRAINT "AgentNodeExecutionKeyValueData_pkey" PRIMARY KEY ("userId","key")
+);
diff --git a/autogpt_platform/backend/migrations/20250721073830_add_preset_index/migration.sql b/autogpt_platform/backend/migrations/20250721073830_add_preset_index/migration.sql
new file mode 100644
index 000000000000..1bc3b5293693
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250721073830_add_preset_index/migration.sql
@@ -0,0 +1,2 @@
+-- CreateIndex
+CREATE INDEX "AgentNodeExecutionInputOutput_agentPresetId_idx" ON "AgentNodeExecutionInputOutput"("agentPresetId");
diff --git a/autogpt_platform/backend/migrations/20250721081856_add_missing_fk_indexes_remove_unused_indexes/migration.sql b/autogpt_platform/backend/migrations/20250721081856_add_missing_fk_indexes_remove_unused_indexes/migration.sql
new file mode 100644
index 000000000000..86f443b56d3b
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250721081856_add_missing_fk_indexes_remove_unused_indexes/migration.sql
@@ -0,0 +1,109 @@
+-- DropIndex
+DROP INDEX IF EXISTS "APIKey_key_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "APIKey_prefix_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "APIKey_status_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_agent_graph_execution_agent";
+
+-- DropIndex
+DROP INDEX IF EXISTS "AnalyticsDetails_type_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "AnalyticsMetrics_userId_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "IntegrationWebhook_userId_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "Profile_username_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_review_version";
+
+-- DropIndex
+DROP INDEX IF EXISTS "User_email_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "User_id_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "UserOnboarding_userId_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_version_status";
+
+-- DropIndex  
+DROP INDEX IF EXISTS "idx_slv_agent";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_version_approved_listing";
+
+-- DropIndex
+DROP INDEX IF EXISTS "StoreListing_agentId_owningUserId_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "StoreListing_isDeleted_isApproved_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "StoreListing_isDeleted_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "StoreListingVersion_agentId_agentVersion_isDeleted_idx";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_store_listing_approved";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_slv_categories_gin";
+
+-- DropIndex
+DROP INDEX IF EXISTS "idx_profile_user";
+
+-- CreateIndex
+CREATE INDEX "APIKey_prefix_name_idx" ON "APIKey"("prefix", "name");
+
+-- CreateIndex
+CREATE INDEX "AgentGraph_forkedFromId_forkedFromVersion_idx" ON "AgentGraph"("forkedFromId", "forkedFromVersion");
+
+-- CreateIndex
+CREATE INDEX "AgentGraphExecution_agentPresetId_idx" ON "AgentGraphExecution"("agentPresetId");
+
+-- CreateIndex
+CREATE INDEX "AgentNodeExecution_agentNodeId_executionStatus_idx" ON "AgentNodeExecution"("agentNodeId", "executionStatus");
+
+-- CreateIndex
+CREATE INDEX "AgentPreset_agentGraphId_agentGraphVersion_idx" ON "AgentPreset"("agentGraphId", "agentGraphVersion");
+
+-- CreateIndex
+CREATE INDEX "AgentPreset_webhookId_idx" ON "AgentPreset"("webhookId");
+
+-- CreateIndex
+CREATE INDEX "LibraryAgent_agentGraphId_agentGraphVersion_idx" ON "LibraryAgent"("agentGraphId", "agentGraphVersion");
+
+-- CreateIndex
+CREATE INDEX "LibraryAgent_creatorId_idx" ON "LibraryAgent"("creatorId");
+
+-- CreateIndex
+CREATE INDEX "StoreListing_agentGraphId_agentGraphVersion_idx" ON "StoreListing"("agentGraphId", "agentGraphVersion");
+
+-- CreateIndex
+CREATE INDEX "StoreListingReview_reviewByUserId_idx" ON "StoreListingReview"("reviewByUserId");
+
+-- CreateIndex (Materialized View Performance Indexes)
+CREATE INDEX IF NOT EXISTS "idx_mv_review_stats_rating" ON "mv_review_stats" ("avg_rating" DESC);
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "idx_mv_review_stats_count" ON "mv_review_stats" ("review_count" DESC);
+
+-- RenameIndex (only if exists)
+DO $$
+BEGIN
+    IF EXISTS (SELECT 1 FROM pg_indexes WHERE indexname = 'analyticsDetails') THEN
+        ALTER INDEX "analyticsDetails" RENAME TO "AnalyticsDetails_userId_type_idx";
+    END IF;
+END $$;
diff --git a/autogpt_platform/backend/migrations/20250805111135_add_video_url_and_categories_to_store_submission_view/migration.sql b/autogpt_platform/backend/migrations/20250805111135_add_video_url_and_categories_to_store_submission_view/migration.sql
new file mode 100644
index 000000000000..c5e8962df212
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250805111135_add_video_url_and_categories_to_store_submission_view/migration.sql
@@ -0,0 +1,41 @@
+-- Drop the existing view
+DROP VIEW IF EXISTS "StoreSubmission";
+
+-- Recreate the view with the new fields
+CREATE VIEW "StoreSubmission" AS
+SELECT
+    sl.id AS listing_id,
+    sl."owningUserId" AS user_id,
+    slv."agentGraphId" AS agent_id,
+    slv.version AS agent_version,
+    sl.slug,
+    COALESCE(slv.name, '') AS name,
+    slv."subHeading" AS sub_heading,
+    slv.description,
+    slv."imageUrls" AS image_urls,
+    slv."submittedAt" AS date_submitted,
+    slv."submissionStatus" AS status,
+    COALESCE(ar.run_count, 0::bigint) AS runs,
+    COALESCE(avg(sr.score::numeric), 0.0)::double precision AS rating,
+    slv.id AS store_listing_version_id,
+    slv."reviewerId" AS reviewer_id,
+    slv."reviewComments" AS review_comments,
+    slv."internalComments" AS internal_comments,
+    slv."reviewedAt" AS reviewed_at,
+    slv."changesSummary" AS changes_summary,
+    -- Add the two new fields:
+    slv."videoUrl" AS video_url,
+    slv.categories
+FROM "StoreListing" sl
+    JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id
+    LEFT JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id
+    LEFT JOIN (
+        SELECT "AgentGraphExecution"."agentGraphId", count(*) AS run_count
+        FROM "AgentGraphExecution"
+        GROUP BY "AgentGraphExecution"."agentGraphId"
+    ) ar ON ar."agentGraphId" = slv."agentGraphId"
+WHERE sl."isDeleted" = false
+GROUP BY sl.id, sl."owningUserId", slv.id, slv."agentGraphId", slv.version, sl.slug, slv.name,
+         slv."subHeading", slv.description, slv."imageUrls", slv."submittedAt",
+         slv."submissionStatus", slv."reviewerId", slv."reviewComments", slv."internalComments",
+         slv."reviewedAt", slv."changesSummary", slv."videoUrl", slv.categories, ar.run_count; 
\ No newline at end of file
diff --git a/autogpt_platform/backend/migrations/20250819163527_add_user_timezone/migration.sql b/autogpt_platform/backend/migrations/20250819163527_add_user_timezone/migration.sql
new file mode 100644
index 000000000000..87bbed7dfb0e
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250819163527_add_user_timezone/migration.sql
@@ -0,0 +1,3 @@
+-- AlterTable
+ALTER TABLE "User" ADD COLUMN     "timezone" TEXT NOT NULL DEFAULT 'not-set' 
+    CHECK (timezone = 'not-set' OR now() AT TIME ZONE timezone IS NOT NULL);
diff --git a/autogpt_platform/backend/migrations/20250824000317_add_notifications_for_approved_and_denied_agents/migration.sql b/autogpt_platform/backend/migrations/20250824000317_add_notifications_for_approved_and_denied_agents/migration.sql
new file mode 100644
index 000000000000..5e56f1f96429
--- /dev/null
+++ b/autogpt_platform/backend/migrations/20250824000317_add_notifications_for_approved_and_denied_agents/migration.sql
@@ -0,0 +1,14 @@
+-- AlterEnum
+-- This migration adds more than one value to an enum.
+-- With PostgreSQL versions 11 and earlier, this is not possible
+-- in a single migration. This can be worked around by creating
+-- multiple migrations, each migration adding only one value to
+-- the enum.
+
+
+ALTER TYPE "NotificationType" ADD VALUE 'AGENT_APPROVED';
+ALTER TYPE "NotificationType" ADD VALUE 'AGENT_REJECTED';
+
+-- AlterTable
+ALTER TABLE "User" ADD COLUMN     "notifyOnAgentApproved" BOOLEAN NOT NULL DEFAULT true,
+ADD COLUMN     "notifyOnAgentRejected" BOOLEAN NOT NULL DEFAULT true;
diff --git a/autogpt_platform/backend/poetry.lock b/autogpt_platform/backend/poetry.lock
index e36626de911f..f429f057e504 100644
--- a/autogpt_platform/backend/poetry.lock
+++ b/autogpt_platform/backend/poetry.lock
@@ -1,14 +1,15 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aio-pika"
-version = "9.5.4"
+version = "9.5.5"
 description = "Wrapper around the aiormq for asyncio and humans"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
-    {file = "aio_pika-9.5.4-py3-none-any.whl", hash = "sha256:a308f904cd4f97e2705662fe23cde37c6c7eddde0e1ea17467028fac6c474e15"},
-    {file = "aio_pika-9.5.4.tar.gz", hash = "sha256:5a1bad96a75fa5ac3aa5b2bbd3eca971ea9abda70693e4334e6e629639f8a8fc"},
+    {file = "aio_pika-9.5.5-py3-none-any.whl", hash = "sha256:94e0ac3666398d6a28b0c3b530c1febf4c6d4ececb345620727cfd7bfe1c02e0"},
+    {file = "aio_pika-9.5.5.tar.gz", hash = "sha256:3d2f25838860fa7e209e21fc95555f558401f9b49a832897419489f1c9e1d6a4"},
 ]
 
 [package.dependencies]
@@ -16,105 +17,156 @@ aiormq = ">=6.8,<6.9"
 exceptiongroup = ">=1,<2"
 yarl = "*"
 
+[[package]]
+name = "aioclamd"
+version = "1.0.0"
+description = "Asynchronous client for virus scanning with ClamAV"
+optional = false
+python-versions = ">=3.7,<4.0"
+groups = ["main"]
+files = [
+    {file = "aioclamd-1.0.0-py3-none-any.whl", hash = "sha256:4727da3953a4b38be4c2de1acb6b3bb3c94c1c171dcac780b80234ee6253f3d9"},
+    {file = "aioclamd-1.0.0.tar.gz", hash = "sha256:7b14e94e3a2285cc89e2f4d434e2a01f322d3cb95476ce2dda015a7980876047"},
+]
+
+[[package]]
+name = "aiodns"
+version = "3.5.0"
+description = "Simple DNS resolver for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiodns-3.5.0-py3-none-any.whl", hash = "sha256:6d0404f7d5215849233f6ee44854f2bb2481adf71b336b2279016ea5990ca5c5"},
+    {file = "aiodns-3.5.0.tar.gz", hash = "sha256:11264edbab51896ecf546c18eb0dd56dff0428c6aa6d2cd87e643e07300eb310"},
+]
+
+[package.dependencies]
+pycares = ">=4.9.0"
+
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+aiohappyeyeballs = ">=2.5.0"
+aiosignal = ">=1.4.0"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -123,7 +175,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiormq"
@@ -131,6 +183,7 @@ version = "6.8.1"
 description = "Pure python AMQP asynchronous client library"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
 files = [
     {file = "aiormq-6.8.1-py3-none-any.whl", hash = "sha256:5da896c8624193708f9409ffad0b20395010e2747f22aa4150593837f40aa017"},
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@@ -142,17 +195,19 @@ yarl = "*"
 
 [[package]]
 name = "aiosignal"
-version = "1.3.2"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
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+    {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "annotated-types"
@@ -160,6 +215,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
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@@ -167,37 +223,40 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.40.0"
+version = "0.59.0"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "anthropic-0.40.0-py3-none-any.whl", hash = "sha256:442028ae8790ff9e3b6f8912043918755af1230d193904ae2ef78cc22995280c"},
-    {file = "anthropic-0.40.0.tar.gz", hash = "sha256:3efeca6d9e97813f93ed34322c6c7ea2279bf0824cd0aa71b59ce222665e2b87"},
+    {file = "anthropic-0.59.0-py3-none-any.whl", hash = "sha256:cbc8b3dccef66ad6435c4fa1d317e5ebb092399a4b88b33a09dc4bf3944c3183"},
+    {file = "anthropic-0.59.0.tar.gz", hash = "sha256:d710d1ef0547ebbb64b03f219e44ba078e83fc83752b96a9b22e9726b523fd8f"},
 ]
 
 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
-httpx = ">=0.23.0,<1"
+httpx = ">=0.25.0,<1"
 jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.10,<5"
 
 [package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
-vertex = ["google-auth (>=2,<3)"]
+vertex = ["google-auth[requests] (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.7.0"
+version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
-    {file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
-    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
+    {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
+    {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
 ]
 
 [package.dependencies]
@@ -207,8 +266,8 @@ sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -217,6 +276,7 @@ version = "3.11.0"
 description = "In-process task scheduler with Cron-like capabilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "APScheduler-3.11.0-py3-none-any.whl", hash = "sha256:fc134ca32e50f5eadcc4938e3a4545ab19131435e851abb40b34d63d5141c6da"},
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@@ -233,7 +293,7 @@ mongodb = ["pymongo (>=3.0)"]
 redis = ["redis (>=3.0)"]
 rethinkdb = ["rethinkdb (>=2.4.0)"]
 sqlalchemy = ["sqlalchemy (>=1.4)"]
-test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6", "anyio (>=4.5.2)", "gevent", "pytest", "pytz", "twisted"]
+test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6 ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "anyio (>=4.5.2)", "gevent ; python_version < \"3.14\"", "pytest", "pytz", "twisted ; python_version < \"3.14\""]
 tornado = ["tornado (>=4.3)"]
 twisted = ["twisted"]
 zookeeper = ["kazoo"]
@@ -244,6 +304,8 @@ version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_full_version < \"3.11.3\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
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@@ -251,54 +313,162 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "24.3.0"
+version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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+    {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
+    {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
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-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
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+
+[[package]]
+name = "audioop-lts"
+version = "0.2.2"
+description = "LTS Port of Python audioop"
+optional = false
+python-versions = ">=3.13"
+groups = ["main"]
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+]
 
 [[package]]
 name = "autogpt-libs"
 version = "0.2.0"
-description = "Shared libraries across NextGen AutoGPT"
+description = "Shared libraries across AutoGPT Platform"
 optional = false
 python-versions = ">=3.10,<4.0"
+groups = ["main"]
 files = []
 develop = true
 
 [package.dependencies]
 colorama = "^0.4.6"
 expiringdict = "^1.2.2"
-google-cloud-logging = "^3.11.3"
-pydantic = "^2.10.3"
-pydantic-settings = "^2.7.0"
+fastapi = "^0.116.1"
+google-cloud-logging = "^3.12.1"
+launchdarkly-server-sdk = "^9.12.0"
+pydantic = "^2.11.7"
+pydantic-settings = "^2.10.1"
 pyjwt = "^2.10.1"
-pytest-asyncio = "^0.25.0"
-pytest-mock = "^3.14.0"
-python-dotenv = "^1.0.1"
-supabase = "^2.10.0"
+pytest-asyncio = "^1.1.0"
+pytest-mock = "^3.14.1"
+redis = "^6.2.0"
+supabase = "^2.16.0"
+uvicorn = "^0.35.0"
 
 [package.source]
 type = "directory"
 url = "../autogpt_libs"
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+groups = ["main"]
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
+[[package]]
+name = "backports-asyncio-runner"
+version = "1.2.0"
+description = "Backport of asyncio.Runner, a context manager that controls event loop life cycle."
+optional = false
+python-versions = "<3.11,>=3.8"
+groups = ["main"]
+markers = "python_version < \"3.11\""
+files = [
+    {file = "backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5"},
+    {file = "backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162"},
+]
+
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+description = "Backport of CPython tarfile module"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\""
+files = [
+    {file = "backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34"},
+    {file = "backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["jaraco.test", "pytest (!=8.0.*)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)"]
+
 [[package]]
 name = "black"
 version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "black-24.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6668650ea4b685440857138e5fe40cde4d652633b1bdffc62933d0db4ed9812"},
     {file = "black-24.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1c536fcf674217e87b8cc3657b81809d3c085d7bf3ef262ead700da345bfa6ea"},
@@ -339,26 +509,115 @@ d = ["aiohttp (>=3.10)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
+[[package]]
+name = "bleach"
+version = "6.2.0"
+description = "An easy safelist-based HTML-sanitizing tool."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"},
+    {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"},
+]
+
+[package.dependencies]
+tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""}
+webencodings = "*"
+
+[package.extras]
+css = ["tinycss2 (>=1.1.0,<1.5)"]
+
+[[package]]
+name = "browserbase"
+version = "1.4.0"
+description = "The official Python library for the Browserbase API"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "browserbase-1.4.0-py3-none-any.whl", hash = "sha256:ea9f1fb4a88921975b8b9606835c441a59d8ce82ce00313a6d48bbe8e30f79fb"},
+    {file = "browserbase-1.4.0.tar.gz", hash = "sha256:e2ed36f513c8630b94b826042c4bb9f497c333f3bd28e5b76cb708c65b4318a0"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+typing-extensions = ">=4.10,<5"
+
+[[package]]
+name = "build"
+version = "1.2.2.post1"
+description = "A simple, correct Python build frontend"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
+    {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "os_name == \"nt\""}
+importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
+packaging = ">=19.1"
+pyproject_hooks = "*"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
+test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0) ; python_version < \"3.10\"", "setuptools (>=56.0.0) ; python_version == \"3.10\"", "setuptools (>=56.0.0) ; python_version == \"3.11\"", "setuptools (>=67.8.0) ; python_version >= \"3.12\"", "wheel (>=0.36.0)"]
+typing = ["build[uv]", "importlib-metadata (>=5.1)", "mypy (>=1.9.0,<1.10.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.0.35)"]
+
+[[package]]
+name = "cachecontrol"
+version = "0.14.3"
+description = "httplib2 caching for requests"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "cachecontrol-0.14.3-py3-none-any.whl", hash = "sha256:b35e44a3113f17d2a31c1e6b27b9de6d4405f84ae51baa8c1d3cc5b633010cae"},
+    {file = "cachecontrol-0.14.3.tar.gz", hash = "sha256:73e7efec4b06b20d9267b441c1f733664f989fb8688391b670ca812d70795d11"},
+]
+
+[package.dependencies]
+filelock = {version = ">=3.8.0", optional = true, markers = "extra == \"filecache\""}
+msgpack = ">=0.5.2,<2.0.0"
+requests = ">=2.16.0"
+
+[package.extras]
+dev = ["CacheControl[filecache,redis]", "build", "cherrypy", "codespell[tomli]", "furo", "mypy", "pytest", "pytest-cov", "ruff", "sphinx", "sphinx-copybutton", "tox", "types-redis", "types-requests"]
+filecache = ["filelock (>=3.8.0)"]
+redis = ["redis (>=2.10.5)"]
+
 [[package]]
 name = "cachetools"
-version = "5.5.0"
+version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"},
-    {file = "cachetools-5.5.0.tar.gz", hash = "sha256:2cc24fb4cbe39633fb7badd9db9ca6295d766d9c2995f245725a46715d050f2a"},
+    {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
+    {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
 ]
 
 [[package]]
 name = "certifi"
-version = "2024.12.14"
+version = "2025.7.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
-    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
-    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
+    {file = "certifi-2025.7.14-py3-none-any.whl", hash = "sha256:6b31f564a415d79ee77df69d757bb49a5bb53bd9f756cbbe24394ffd6fc1f4b2"},
+    {file = "certifi-2025.7.14.tar.gz", hash = "sha256:8ea99dbdfaaf2ba2f9bac77b9249ef62ec5218e7c2b2e903378ed5fccf765995"},
 ]
 
 [[package]]
@@ -367,6 +626,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -441,128 +701,157 @@ files = [
 pycparser = "*"
 
 [[package]]
-name = "charset-normalizer"
+name = "cfgv"
 version = "3.4.0"
+description = "Validate configuration and produce human readable error messages."
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
+    {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
+]
+
+[[package]]
+name = "chardet"
+version = "5.2.0"
+description = "Universal encoding detector for Python 3"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
+    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
-files = [
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+
+[[package]]
+name = "cleo"
+version = "2.1.0"
+description = "Cleo allows you to create beautiful and testable command-line interfaces."
+optional = false
+python-versions = ">=3.7,<4.0"
+groups = ["main"]
+files = [
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 ]
 
+[package.dependencies]
+crashtest = ">=0.4.1,<0.5.0"
+rapidfuzz = ">=3.0.0,<4.0.0"
+
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.2.1"
 description = "Composable command line interface toolkit"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.10"
+groups = ["main", "dev"]
 files = [
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-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
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 ]
 
 [package.dependencies]
@@ -574,20 +863,35 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev"]
 files = [
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 ]
+markers = {dev = "sys_platform == \"win32\" or platform_system == \"Windows\""}
+
+[[package]]
+name = "crashtest"
+version = "0.4.1"
+description = "Manage Python errors with ease"
+optional = false
+python-versions = ">=3.7,<4.0"
+groups = ["main"]
+files = [
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+]
 
 [[package]]
 name = "croniter"
-version = "5.0.1"
+version = "6.0.0"
 description = "croniter provides iteration for datetime object with cron like format"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.6"
+groups = ["main"]
 files = [
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+    {file = "croniter-6.0.0-py2.py3-none-any.whl", hash = "sha256:2f878c3856f17896979b2a4379ba1f09c83e374931ea15cc835c5dd2eee9b368"},
+    {file = "croniter-6.0.0.tar.gz", hash = "sha256:37c504b313956114a983ece2c2b07790b1f1094fe9d81cc94739214748255577"},
 ]
 
 [package.dependencies]
@@ -600,6 +904,7 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
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@@ -643,40 +948,37 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
+name = "decorator"
+version = "5.2.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+    {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
+]
+
 [[package]]
 name = "defusedxml"
 version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
 files = [
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 ]
 
-[[package]]
-name = "deprecated"
-version = "1.2.15"
-description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
-files = [
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-
-[package.dependencies]
-wrapt = ">=1.10,<2"
-
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-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
-
 [[package]]
 name = "deprecation"
 version = "2.1.0"
 description = "A library to handle automated deprecations"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
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@@ -687,44 +989,149 @@ packaging = "*"
 
 [[package]]
 name = "discord-py"
-version = "2.4.0"
+version = "2.5.2"
 description = "A Python wrapper for the Discord API"
 optional = false
 python-versions = ">=3.8"
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+    {file = "discord_py-2.5.2.tar.gz", hash = "sha256:01cd362023bfea1a4a1d43f5280b5ef00cad2c7eba80098909f98bf28e578524"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.7.4,<4"
+audioop-lts = {version = "*", markers = "python_version >= \"3.13\""}
 
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-test = ["coverage[toml]", "pytest", "pytest-asyncio", "pytest-cov", "pytest-mock", "typing-extensions (>=4.3,<5)", "tzdata"]
+dev = ["black (==22.6)", "typing_extensions (>=4.3,<5)"]
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 voice = ["PyNaCl (>=1.3.0,<1.6)"]
 
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+    {file = "e2b-1.6.0.tar.gz", hash = "sha256:0552115ee0a18c4e5a5aa97290d4a454478c547371386cabb76e367b8e914753"},
 ]
 
 [package.dependencies]
@@ -732,36 +1139,77 @@ attrs = ">=23.2.0"
 httpcore = ">=1.0.5,<2.0.0"
 httpx = ">=0.27.0,<1.0.0"
 packaging = ">=24.1"
-protobuf = ">=3.20.0,<6.0.0"
+protobuf = ">=5.29.4,<6.0.0"
 python-dateutil = ">=2.8.2"
 typing-extensions = ">=4.1.0"
 
 [[package]]
 name = "e2b-code-interpreter"
-version = "1.0.3"
+version = "1.5.2"
 description = "E2B Code Interpreter - Stateful code execution"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
-    {file = "e2b_code_interpreter-1.0.3-py3-none-any.whl", hash = "sha256:c638bd4ec1c99d9c4eaac541bc8b15134cf786f6c7c400d979cef96d62e485d8"},
-    {file = "e2b_code_interpreter-1.0.3.tar.gz", hash = "sha256:36475acc001b1317ed129d65970fce6a7cc2d50e3fd3e8a13ad5d7d3e0fac237"},
+    {file = "e2b_code_interpreter-1.5.2-py3-none-any.whl", hash = "sha256:5c3188d8f25226b28fef4b255447cc6a4c36afb748bdd5180b45be486d5169f3"},
+    {file = "e2b_code_interpreter-1.5.2.tar.gz", hash = "sha256:3bd6ea70596290e85aaf0a2f19f28bf37a5e73d13086f5e6a0080bb591c5a547"},
 ]
 
 [package.dependencies]
 attrs = ">=21.3.0"
-e2b = ">=1.0.4,<2.0.0"
+e2b = ">=1.5.4,<2.0.0"
 httpx = ">=0.20.0,<1.0.0"
 
+[[package]]
+name = "email-validator"
+version = "2.2.0"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
+    {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
+[[package]]
+name = "exa-py"
+version = "1.14.20"
+description = "Python SDK for Exa API."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "exa_py-1.14.20-py3-none-any.whl", hash = "sha256:e0ed9d99c3c494a0e6903e11a0f6fb773b3b23d0cd802380cf58efc97d9d332d"},
+    {file = "exa_py-1.14.20.tar.gz", hash = "sha256:423789a0635b7a4ecd5f56d6b4a0dfb01126fa45ce1e04106c0bb96b7d551ebf"},
+]
+
+[package.dependencies]
+httpx = ">=0.28.1"
+openai = ">=1.48"
+pydantic = ">=2.10.6"
+requests = ">=2.32.3"
+typing-extensions = ">=4.12.2"
+
 [[package]]
 name = "exceptiongroup"
-version = "1.2.2"
+version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
-    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
-    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
+    {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
+    {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
 ]
+markers = {dev = "python_version < \"3.11\""}
+
+[package.dependencies]
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
 
 [package.extras]
 test = ["pytest (>=6)"]
@@ -772,6 +1220,7 @@ version = "1.2.2"
 description = "Dictionary with auto-expiring values for caching purposes"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "expiringdict-1.2.2-py3-none-any.whl", hash = "sha256:09a5d20bc361163e6432a874edd3179676e935eb81b925eccef48d409a8a45e8"},
     {file = "expiringdict-1.2.2.tar.gz", hash = "sha256:300fb92a7e98f15b05cf9a856c1415b3bc4f2e132be07daa326da6414c23ee09"},
@@ -782,38 +1231,55 @@ tests = ["coverage", "coveralls", "dill", "mock", "nose"]
 
 [[package]]
 name = "faker"
-version = "33.1.0"
+version = "37.4.2"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["dev"]
 files = [
-    {file = "Faker-33.1.0-py3-none-any.whl", hash = "sha256:d30c5f0e2796b8970de68978365247657486eb0311c5abe88d0b895b68dff05d"},
-    {file = "faker-33.1.0.tar.gz", hash = "sha256:1c925fc0e86a51fc46648b504078c88d0cd48da1da2595c4e712841cab43a1e4"},
+    {file = "faker-37.4.2-py3-none-any.whl", hash = "sha256:b70ed1af57bfe988cbcd0afd95f4768c51eaf4e1ce8a30962e127ac5c139c93f"},
+    {file = "faker-37.4.2.tar.gz", hash = "sha256:8e281bbaea30e5658895b8bea21cc50d27aaf3a43db3f2694409ca5701c56b0a"},
 ]
 
 [package.dependencies]
-python-dateutil = ">=2.4"
-typing-extensions = "*"
+tzdata = "*"
 
 [[package]]
 name = "fastapi"
-version = "0.115.6"
+version = "0.116.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "fastapi-0.115.6-py3-none-any.whl", hash = "sha256:e9240b29e36fa8f4bb7290316988e90c381e5092e0cbe84e7818cc3713bcf305"},
-    {file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"},
+    {file = "fastapi-0.116.1-py3-none-any.whl", hash = "sha256:c46ac7c312df840f0c9e220f7964bada936781bc4e2e6eb71f1c4d7553786565"},
+    {file = "fastapi-0.116.1.tar.gz", hash = "sha256:ed52cbf946abfd70c5a0dccb24673f0670deeb517a88b3544d03c2a6bf283143"},
 ]
 
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.40.0,<0.42.0"
+starlette = ">=0.40.0,<0.48.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+
+[[package]]
+name = "fastjsonschema"
+version = "2.21.1"
+description = "Fastest Python implementation of JSON schema"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"},
+    {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"},
+]
+
+[package.extras]
+devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
 
 [[package]]
 name = "feedparser"
@@ -821,6 +1287,7 @@ version = "6.0.11"
 description = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "feedparser-6.0.11-py3-none-any.whl", hash = "sha256:0be7ee7b395572b19ebeb1d6aafb0028dee11169f1c934e0ed67d54992f4ad45"},
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@@ -829,182 +1296,331 @@ files = [
 [package.dependencies]
 sgmllib3k = "*"
 
+[[package]]
+name = "filelock"
+version = "3.18.0"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+    {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
+    {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
+]
+
+[package.extras]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
+
+[[package]]
+name = "findpython"
+version = "0.6.3"
+description = "A utility to find python versions on your system"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "findpython-0.6.3-py3-none-any.whl", hash = "sha256:a85bb589b559cdf1b87227cc233736eb7cad894b9e68021ee498850611939ebc"},
+    {file = "findpython-0.6.3.tar.gz", hash = "sha256:5863ea55556d8aadc693481a14ac4f3624952719efc1c5591abb0b4a9e965c94"},
+]
+
+[package.dependencies]
+packaging = ">=20"
+
+[[package]]
+name = "firecrawl-py"
+version = "2.16.3"
+description = "Python SDK for Firecrawl API"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "firecrawl_py-2.16.3-py3-none-any.whl", hash = "sha256:94bb46af5e0df6c8ec414ac999a5355c0f5a46f15fd1cf5a02a3b31062db0aa8"},
+    {file = "firecrawl_py-2.16.3.tar.gz", hash = "sha256:5fd063ef4acc4c4be62648f1e11467336bc127780b3afc28d39078a012e6a14c"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+nest-asyncio = "*"
+pydantic = "*"
+python-dotenv = "*"
+requests = "*"
+websockets = "*"
+
 [[package]]
 name = "flake8"
-version = "7.1.1"
+version = "7.3.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
-python-versions = ">=3.8.1"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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+    {file = "flake8-7.3.0-py2.py3-none-any.whl", hash = "sha256:b9696257b9ce8beb888cdbe31cf885c90d31928fe202be0889a7cdafad32f01e"},
+    {file = "flake8-7.3.0.tar.gz", hash = "sha256:fe044858146b9fc69b551a4b490d69cf960fcb78ad1edcb84e7fbb1b4a8e3872"},
 ]
 
 [package.dependencies]
 mccabe = ">=0.7.0,<0.8.0"
-pycodestyle = ">=2.12.0,<2.13.0"
-pyflakes = ">=3.2.0,<3.3.0"
+pycodestyle = ">=2.14.0,<2.15.0"
+pyflakes = ">=3.4.0,<3.5.0"
 
 [[package]]
 name = "frozenlist"
-version = "1.5.0"
+version = "1.7.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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-    {file = "frozenlist-1.5.0-cp39-cp39-win32.whl", hash = "sha256:666534d15ba8f0fda3f53969117383d5dc021266b3c1a42c9ec4855e4b58b9d3"},
-    {file = "frozenlist-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:5c28f4b5dbef8a0d8aad0d4de24d1e9e981728628afaf4ea0792f5d0939372f0"},
-    {file = "frozenlist-1.5.0-py3-none-any.whl", hash = "sha256:d994863bba198a4a518b467bb971c56e1db3f180a25c6cf7bb1949c267f748c3"},
-    {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
+    {file = "gcloud_aio_storage-9.5.0-py3-none-any.whl", hash = "sha256:cf65e60d69ff1b9de67c2e985126b60866611551e49b6cbf1a53bc3c85421632"},
+    {file = "gcloud_aio_storage-9.5.0.tar.gz", hash = "sha256:5adbb21818f1236169fea4958e14b7ace59f81262b112d080cf76030cbef5f34"},
 ]
 
+[package.dependencies]
+aiofiles = ">=0.6.0,<25.0.0"
+gcloud-aio-auth = ">=5.3.0,<6.0.0"
+pyasn1-modules = ">=0.2.1,<0.4.2"
+rsa = ">=3.1.4,<5.0.0"
+
 [[package]]
 name = "google-api-core"
-version = "2.24.0"
+version = "2.25.1"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_api_core-2.24.0-py3-none-any.whl", hash = "sha256:10d82ac0fca69c82a25b3efdeefccf6f28e02ebb97925a8cce8edbfe379929d9"},
-    {file = "google_api_core-2.24.0.tar.gz", hash = "sha256:e255640547a597a4da010876d333208ddac417d60add22b6851a0c66a831fcaf"},
+    {file = "google_api_core-2.25.1-py3-none-any.whl", hash = "sha256:8a2a56c1fef82987a524371f99f3bd0143702fecc670c72e600c1cda6bf8dbb7"},
+    {file = "google_api_core-2.25.1.tar.gz", hash = "sha256:d2aaa0b13c78c61cb3f4282c464c046e45fbd75755683c9c525e6e8f7ed0a5e8"},
 ]
 
 [package.dependencies]
-google-auth = ">=2.14.1,<3.0.dev0"
-googleapis-common-protos = ">=1.56.2,<2.0.dev0"
+google-auth = ">=2.14.1,<3.0.0"
+googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+]
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
 ]
-proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
-requests = ">=2.18.0,<3.0.0.dev0"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
+requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
-async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
-grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
-grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"]
+grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\""]
+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.155.0"
+version = "2.177.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_api_python_client-2.155.0-py2.py3-none-any.whl", hash = "sha256:83fe9b5aa4160899079d7c93a37be306546a17e6686e2549bcc9584f1a229747"},
-    {file = "google_api_python_client-2.155.0.tar.gz", hash = "sha256:25529f89f0d13abcf3c05c089c423fb2858ac16e0b3727543393468d0d7af67c"},
+    {file = "google_api_python_client-2.177.0-py3-none-any.whl", hash = "sha256:f2f50f11105ab883eb9b6cf38ec54ea5fd4b429249f76444bec90deba5be79b3"},
+    {file = "google_api_python_client-2.177.0.tar.gz", hash = "sha256:9ffd2b57d68f5afa7e6ac64e2c440534eaa056cbb394812a62ff94723c31b50e"},
 ]
 
 [package.dependencies]
-google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0.dev0"
-google-auth = ">=1.32.0,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0.dev0"
+google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0"
+google-auth = ">=1.32.0,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
 google-auth-httplib2 = ">=0.2.0,<1.0.0"
-httplib2 = ">=0.19.0,<1.dev0"
+httplib2 = ">=0.19.0,<1.0.0"
 uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.37.0"
+version = "2.40.3"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_auth-2.37.0-py2.py3-none-any.whl", hash = "sha256:42664f18290a6be591be5329a96fe30184be1a1badb7292a7f686a9659de9ca0"},
-    {file = "google_auth-2.37.0.tar.gz", hash = "sha256:0054623abf1f9c83492c63d3f47e77f0a544caa3d40b2d98e099a611c2dd5d00"},
+    {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"},
+    {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"},
 ]
 
 [package.dependencies]
@@ -1013,12 +1629,14 @@ pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
-pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+requests = ["requests (>=2.20.0,<3.0.0)"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+urllib3 = ["packaging", "urllib3"]
 
 [[package]]
 name = "google-auth-httplib2"
@@ -1026,6 +1644,7 @@ version = "0.2.0"
 description = "Google Authentication Library: httplib2 transport"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"},
     {file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"},
@@ -1037,13 +1656,14 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-auth-oauthlib"
-version = "1.2.1"
+version = "1.2.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
-    {file = "google_auth_oauthlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:2d58a27262d55aa1b87678c3ba7142a080098cbc2024f903c62355deb235d91f"},
-    {file = "google_auth_oauthlib-1.2.1.tar.gz", hash = "sha256:afd0cad092a2eaa53cd8e8298557d6de1034c6cb4a740500b5357b648af97263"},
+    {file = "google_auth_oauthlib-1.2.2-py3-none-any.whl", hash = "sha256:fd619506f4b3908b5df17b65f39ca8d66ea56986e5472eb5978fd8f3786f00a2"},
+    {file = "google_auth_oauthlib-1.2.2.tar.gz", hash = "sha256:11046fb8d3348b296302dd939ace8af0a724042e8029c1b872d87fabc9f41684"},
 ]
 
 [package.dependencies]
@@ -1055,45 +1675,51 @@ tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "google-cloud-appengine-logging"
-version = "1.5.0"
+version = "1.6.2"
 description = "Google Cloud Appengine Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_cloud_appengine_logging-1.5.0-py2.py3-none-any.whl", hash = "sha256:81e36606e13c377c4898c918542888abb7a6896837ac5f559011c7729fc63d8a"},
-    {file = "google_cloud_appengine_logging-1.5.0.tar.gz", hash = "sha256:39a2df694d97981ed00ef5df541f7cfcca920a92496707557f2b07bb7ba9d67a"},
+    {file = "google_cloud_appengine_logging-1.6.2-py3-none-any.whl", hash = "sha256:2b28ed715e92b67e334c6fcfe1deb523f001919560257b25fc8fcda95fd63938"},
+    {file = "google_cloud_appengine_logging-1.6.2.tar.gz", hash = "sha256:4890928464c98da9eecc7bf4e0542eba2551512c0265462c10f3a3d2a6424b90"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
-proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+]
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
 [[package]]
 name = "google-cloud-audit-log"
-version = "0.3.0"
+version = "0.3.2"
 description = "Google Cloud Audit Protos"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_cloud_audit_log-0.3.0-py2.py3-none-any.whl", hash = "sha256:8340793120a1d5aa143605def8704ecdcead15106f754ef1381ae3bab533722f"},
-    {file = "google_cloud_audit_log-0.3.0.tar.gz", hash = "sha256:901428b257020d8c1d1133e0fa004164a555e5a395c7ca3cdbb8486513df3a65"},
+    {file = "google_cloud_audit_log-0.3.2-py3-none-any.whl", hash = "sha256:daaedfb947a0d77f524e1bd2b560242ab4836fe1afd6b06b92f152b9658554ed"},
+    {file = "google_cloud_audit_log-0.3.2.tar.gz", hash = "sha256:2598f1533a7d7cdd6c7bf448c12e5519c1d53162d78784e10bcdd1df67791bc3"},
 ]
 
 [package.dependencies]
-googleapis-common-protos = ">=1.56.2,<2.0dev"
-protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
+googleapis-common-protos = ">=1.56.2,<2.0.0"
+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
 [[package]]
 name = "google-cloud-core"
-version = "2.4.1"
+version = "2.4.3"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
-    {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
+    {file = "google_cloud_core-2.4.3-py2.py3-none-any.whl", hash = "sha256:5130f9f4c14b4fafdff75c79448f9495cfade0d8775facf1b09c3bf67e027f6e"},
+    {file = "google_cloud_core-2.4.3.tar.gz", hash = "sha256:1fab62d7102844b278fe6dead3af32408b1df3eb06f5c7e8634cbd40edc4da53"},
 ]
 
 [package.dependencies]
@@ -1105,86 +1731,97 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-logging"
-version = "3.11.3"
+version = "3.12.1"
 description = "Stackdriver Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "google_cloud_logging-3.11.3-py2.py3-none-any.whl", hash = "sha256:b8ec23f2998f76a58f8492db26a0f4151dd500425c3f08448586b85972f3c494"},
-    {file = "google_cloud_logging-3.11.3.tar.gz", hash = "sha256:0a73cd94118875387d4535371d9e9426861edef8e44fba1261e86782d5b8d54f"},
+    {file = "google_cloud_logging-3.12.1-py2.py3-none-any.whl", hash = "sha256:6817878af76ec4e7568976772839ab2c43ddfd18fbbf2ce32b13ef549cd5a862"},
+    {file = "google_cloud_logging-3.12.1.tar.gz", hash = "sha256:36efc823985055b203904e83e1c8f9f999b3c64270bcda39d57386ca4effd678"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
-google-cloud-appengine-logging = ">=0.1.3,<2.0.0dev"
-google-cloud-audit-log = ">=0.2.4,<1.0.0dev"
-google-cloud-core = ">=2.0.0,<3.0.0dev"
-grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
+google-cloud-appengine-logging = ">=0.1.3,<2.0.0"
+google-cloud-audit-log = ">=0.3.1,<1.0.0"
+google-cloud-core = ">=2.0.0,<3.0.0"
+grpc-google-iam-v1 = ">=0.12.4,<1.0.0"
 opentelemetry-api = ">=1.9.0"
 proto-plus = [
-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
-    {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
+    {version = ">=1.22.0,<2.0.0"},
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 [[package]]
 name = "google-cloud-storage"
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 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
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 [package.extras]
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 ]
 
 [package.extras]
@@ -1196,6 +1833,7 @@ version = "2.7.2"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "google_resumable_media-2.7.2-py2.py3-none-any.whl", hash = "sha256:3ce7551e9fe6d99e9a126101d2536612bb73486721951e9562fee0f90c6ababa"},
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@@ -1210,21 +1848,22 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.66.0"
+version = "1.70.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
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-protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
+grpcio = {version = ">=1.44.0,<2.0.0", optional = true, markers = "extra == \"grpc\""}
+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 
 [package.extras]
-grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
 [[package]]
 name = "googlemaps"
@@ -1232,6 +1871,7 @@ version = "4.10.0"
 description = "Python client library for Google Maps Platform"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
 files = [
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 ]
@@ -1241,99 +1881,100 @@ requests = ">=2.20.0,<3.0"
 
 [[package]]
 name = "gotrue"
-version = "2.11.0"
+version = "2.12.3"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
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 [package.extras]
@@ -1342,13 +1983,14 @@ test = ["objgraph", "psutil"]
 
 [[package]]
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-version = "0.13.1"
+version = "0.30.0"
 description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
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 ]
 
 [package.dependencies]
@@ -1359,156 +2001,195 @@ pydantic = ">=1.9.0,<3"
 sniffio = "*"
 typing-extensions = ">=4.10,<5"
 
+[package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.6)"]
+
 [[package]]
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 description = "IAM API client library"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
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+googleapis-common-protos = {version = ">=1.56.0,<2.0.0", extras = ["grpc"]}
+grpcio = ">=1.44.0,<2.0.0"
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+    {file = "hf_xet-1.1.8-cp37-abi3-win_amd64.whl", hash = "sha256:4171f31d87b13da4af1ed86c98cf763292e4720c088b4957cf9d564f92904ca9"},
+    {file = "hf_xet-1.1.8.tar.gz", hash = "sha256:62a0043e441753bbc446dcb5a3fe40a4d03f5fb9f13589ef1df9ab19252beb53"},
+]
+
+[package.extras]
+tests = ["pytest"]
 
 [[package]]
 name = "hpack"
-version = "4.0.0"
-description = "Pure-Python HPACK header compression"
+version = "4.1.0"
+description = "Pure-Python HPACK header encoding"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
-    {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
+    {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
+    {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
+]
+
+[[package]]
+name = "html2text"
+version = "2024.2.26"
+description = "Turn HTML into equivalent Markdown-structured text."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "html2text-2024.2.26.tar.gz", hash = "sha256:05f8e367d15aaabc96415376776cdd11afd5127a77fce6e36afc60c563ca2c32"},
 ]
 
 [[package]]
 name = "httpcore"
-version = "1.0.7"
+version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
-    {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
-    {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
+    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
+    {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
 ]
 
 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
@@ -1522,6 +2203,7 @@ version = "0.22.0"
 description = "A comprehensive HTTP client library."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
 files = [
     {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
     {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
@@ -1536,6 +2218,7 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
     {file = "httptools-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da"},
@@ -1587,13 +2270,14 @@ test = ["Cython (>=0.29.24)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
-    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
-    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
+    {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
+    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
 ]
 
 [package.dependencies]
@@ -1602,32 +2286,87 @@ certifi = "*"
 h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.34.4"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+groups = ["main"]
+files = [
+    {file = "huggingface_hub-0.34.4-py3-none-any.whl", hash = "sha256:9b365d781739c93ff90c359844221beef048403f1bc1f1c123c191257c3c890a"},
+    {file = "huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c"},
+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
+inference = ["aiohttp"]
+mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
+oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
 [[package]]
 name = "hyperframe"
-version = "6.0.1"
-description = "HTTP/2 framing layer for Python"
+version = "6.1.0"
+description = "Pure-Python HTTP/2 framing"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
-    {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
+    {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
+    {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
 ]
 
+[[package]]
+name = "identify"
+version = "2.6.12"
+description = "File identification library for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+files = [
+    {file = "identify-2.6.12-py2.py3-none-any.whl", hash = "sha256:ad9672d5a72e0d2ff7c5c8809b62dfa60458626352fb0eb7b55e69bdc45334a2"},
+    {file = "identify-2.6.12.tar.gz", hash = "sha256:d8de45749f1efb108badef65ee8386f0f7bb19a7f26185f74de6367bffbaf0e6"},
+]
+
+[package.extras]
+license = ["ukkonen"]
+
 [[package]]
 name = "idna"
 version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1636,38 +2375,103 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
+[[package]]
+name = "imageio"
+version = "2.37.0"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "imageio-2.37.0-py3-none-any.whl", hash = "sha256:11efa15b87bc7871b61590326b2d635439acc321cf7f8ce996f812543ce10eed"},
+    {file = "imageio-2.37.0.tar.gz", hash = "sha256:71b57b3669666272c818497aebba2b4c5f20d5b37c81720e5e1a56d59c492996"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=8.3.2"
+
+[package.extras]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+build = ["wheel"]
+dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
+ffmpeg = ["imageio-ffmpeg", "psutil"]
+fits = ["astropy"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
+gdal = ["gdal"]
+itk = ["itk"]
+linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
+pyav = ["av"]
+rawpy = ["numpy (>2)", "rawpy"]
+test = ["fsspec[github]", "pytest", "pytest-cov"]
+tifffile = ["tifffile"]
+
+[[package]]
+name = "imageio-ffmpeg"
+version = "0.6.0"
+description = "FFMPEG wrapper for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.whl", hash = "sha256:9d2baaf867088508d4a3458e61eeb30e945c4ad8016025545f66c4b5aaef0a61"},
+    {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b1ae3173414b5fc5f538a726c4e48ea97edc0d2cdc11f103afee655c463fa742"},
+    {file = "imageio_ffmpeg-0.6.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1d47bebd83d2c5fc770720d211855f208af8a596c82d17730aa51e815cdee6dc"},
+    {file = "imageio_ffmpeg-0.6.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c7e46fcec401dd990405049d2e2f475e2b397779df2519b544b8aab515195282"},
+    {file = "imageio_ffmpeg-0.6.0-py3-none-win32.whl", hash = "sha256:196faa79366b4a82f95c0f4053191d2013f4714a715780f0ad2a68ff37483cc2"},
+    {file = "imageio_ffmpeg-0.6.0-py3-none-win_amd64.whl", hash = "sha256:02fa47c83703c37df6bfe4896aab339013f62bf02c5ebf2dce6da56af04ffc0a"},
+    {file = "imageio_ffmpeg-0.6.0.tar.gz", hash = "sha256:e2556bed8e005564a9f925bb7afa4002d82770d6b08825078b7697ab88ba1755"},
+]
+
 [[package]]
 name = "importlib-metadata"
-version = "8.5.0"
+version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
-    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
+    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
 ]
 
 [package.dependencies]
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev"]
+files = [
+    {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
+    {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
+]
+
+[[package]]
+name = "installer"
+version = "0.7.0"
+description = "A library for installing Python wheels."
+optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
-    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+    {file = "installer-0.7.0-py3-none-any.whl", hash = "sha256:05d1933f0a5ba7d8d6296bb6d5018e7c94fa473ceb10cf198a92ccea19c27b53"},
+    {file = "installer-0.7.0.tar.gz", hash = "sha256:a26d3e3116289bb08216e0d0f7d925fcef0b0194eedfa0c944bcaaa106c4b631"},
 ]
 
 [[package]]
@@ -1676,6 +2480,7 @@ version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -1684,15 +2489,94 @@ files = [
 [package.extras]
 colors = ["colorama (>=0.4.6)"]
 
+[[package]]
+name = "jaraco-classes"
+version = "3.4.0"
+description = "Utility functions for Python class constructs"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790"},
+    {file = "jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd"},
+]
+
+[package.dependencies]
+more-itertools = "*"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
+[[package]]
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 [[package]]
@@ -1792,6 +2678,7 @@ version = "1.1.0"
 description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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@@ -1799,13 +2686,14 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.23.0"
+version = "4.25.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -1816,31 +2704,63 @@ rpds-py = ">=0.7.1"
 
 [package.extras]
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 [[package]]
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-version = "2024.10.1"
+version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
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 [package.dependencies]
 referencing = ">=0.31.0"
 
+[[package]]
+name = "keyring"
+version = "25.6.0"
+description = "Store and access your passwords safely."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "keyring-25.6.0-py3-none-any.whl", hash = "sha256:552a3f7af126ece7ed5c89753650eec89c7eaae8617d0aa4d9ad2b75111266bd"},
+    {file = "keyring-25.6.0.tar.gz", hash = "sha256:0b39998aa941431eb3d9b0d4b2460bc773b9df6fed7621c2dfb291a7e0187a66"},
+]
+
+[package.dependencies]
+importlib_metadata = {version = ">=4.11.4", markers = "python_version < \"3.12\""}
+"jaraco.classes" = "*"
+"jaraco.context" = "*"
+"jaraco.functools" = "*"
+jeepney = {version = ">=0.4.2", markers = "sys_platform == \"linux\""}
+pywin32-ctypes = {version = ">=0.2.0", markers = "sys_platform == \"win32\""}
+SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+completion = ["shtab (>=1.1.0)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["pyfakefs", "pytest (>=6,!=8.1.*)"]
+type = ["pygobject-stubs", "pytest-mypy", "shtab", "types-pywin32"]
+
 [[package]]
 name = "launchdarkly-eventsource"
-version = "1.2.0"
+version = "1.3.0"
 description = "LaunchDarkly SSE Client"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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+    {file = "launchdarkly_eventsource-1.3.0-py3-none-any.whl", hash = "sha256:7afecee7a0f306630e4364994e0816abbbdbaf143fe43b3428ed122fa4e0d487"},
+    {file = "launchdarkly_eventsource-1.3.0.tar.gz", hash = "sha256:5029199b2c344aee2806bbe8784965e9c0197d052d0bab7e1396a94c159f6bc8"},
 ]
 
 [package.dependencies]
@@ -1848,19 +2768,20 @@ urllib3 = ">=1.26.0,<3"
 
 [[package]]
 name = "launchdarkly-server-sdk"
-version = "9.8.0"
+version = "9.12.0"
 description = "LaunchDarkly SDK for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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-    {file = "launchdarkly_server_sdk-9.8.0.tar.gz", hash = "sha256:e50a5eef770a5d0c609cf823c60ad9526f2f645e67efc638af31e7582ff62050"},
+    {file = "launchdarkly_server_sdk-9.12.0-py3-none-any.whl", hash = "sha256:c7351e26e6b695b968d49888e967691aae60ded82d73a41a74d59d11252a1413"},
+    {file = "launchdarkly_server_sdk-9.12.0.tar.gz", hash = "sha256:219b100d7569e4f528b6028cbd2a5d61f13539f2b44ed43fc173bb4f456ee580"},
 ]
 
 [package.dependencies]
 certifi = ">=2018.4.16"
 expiringdict = ">=1.1.4"
-launchdarkly-eventsource = ">=1.1.0,<2.0.0"
+launchdarkly-eventsource = ">=1.2.4,<2.0.0"
 pyRFC3339 = ">=1.0"
 semver = ">=2.10.2"
 urllib3 = ">=1.26.0,<3"
@@ -1871,12 +2792,69 @@ dynamodb = ["boto3 (>=1.9.71)"]
 redis = ["redis (>=2.10.5)"]
 test-filesource = ["pyyaml (>=5.3.1)", "watchdog (>=3.0.0)"]
 
+[[package]]
+name = "litellm"
+version = "1.74.15.post2"
+description = "Library to easily interface with LLM API providers"
+optional = false
+python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+aiohttp = ">=3.10"
+click = "*"
+httpx = ">=0.23.0"
+importlib-metadata = ">=6.8.0"
+jinja2 = ">=3.1.2,<4.0.0"
+jsonschema = ">=4.22.0,<5.0.0"
+openai = ">=1.68.2"
+pydantic = ">=2.5.0,<3.0.0"
+python-dotenv = ">=0.2.0"
+tiktoken = ">=0.7.0"
+tokenizers = "*"
+
+[package.extras]
+caching = ["diskcache (>=5.6.1,<6.0.0)"]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "redisvl (>=0.4.1,<0.5.0) ; python_version >= \"3.9\" and python_version < \"3.14\"", "resend (>=0.8.0,<0.9.0)"]
+mlflow = ["mlflow (>3.1.4) ; python_version >= \"3.10\""]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.25.1,<13.0.0)", "backoff", "boto3 (==1.34.34)", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=23.0.0,<24.0.0)", "litellm-enterprise (==0.1.16)", "litellm-proxy-extras (==0.2.16)", "mcp (>=1.10.0,<2.0.0) ; python_version >= \"3.10\"", "orjson (>=3.9.7,<4.0.0)", "polars (>=1.31.0,<2.0.0) ; python_version >= \"3.10\"", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rich (==13.7.1)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop (>=0.21.0,<0.22.0) ; sys_platform != \"win32\"", "websockets (>=13.1.0,<14.0.0)"]
+semantic-router = ["semantic-router ; python_version >= \"3.9\""]
+utils = ["numpydoc"]
+
+[[package]]
+name = "markdown-it-py"
+version = "4.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
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+
+[package.dependencies]
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+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins (>=0.5.0)"]
+profiling = ["gprof2dot"]
+rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
+
 [[package]]
 name = "markupsafe"
 version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
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@@ -1947,110 +2925,277 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
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 ]
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+]
+
+[[package]]
+name = "mem0ai"
+version = "0.1.115"
+description = "Long-term memory for AI Agents"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+pytz = ">=2024.1"
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+sqlalchemy = ">=2.0.31"
+
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 ]
 
 [package.dependencies]
@@ -2131,22 +3421,26 @@ tqdm = ">4"
 typing-extensions = ">=4.11,<5"
 
 [package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<16)"]
+voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.29.0"
+version = "1.35.0"
 description = "OpenTelemetry Python API"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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+    {file = "opentelemetry_api-1.35.0-py3-none-any.whl", hash = "sha256:c4ea7e258a244858daf18474625e9cc0149b8ee354f37843415771a40c25ee06"},
+    {file = "opentelemetry_api-1.35.0.tar.gz", hash = "sha256:a111b959bcfa5b4d7dffc2fbd6a241aa72dd78dd8e79b5b1662bda896c5d2ffe"},
 ]
 
 [package.dependencies]
-deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=8.5.0"
+importlib-metadata = ">=6.0,<8.8.0"
+typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "packaging"
@@ -2154,6 +3448,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
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@@ -2165,6 +3460,7 @@ version = "3.3.0"
 description = "RabbitMQ Focused AMQP low-level library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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@@ -2174,12 +3470,100 @@ files = [
 codegen = ["lxml", "requests", "yapf"]
 testing = ["coverage", "flake8", "flake8-comprehensions", "flake8-deprecated", "flake8-import-order", "flake8-print", "flake8-quotes", "flake8-rst-docstrings", "flake8-tuple", "yapf"]
 
+[[package]]
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+version = "2.3.1"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
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+
+[package.extras]
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+aws = ["s3fs (>=2022.11.0)"]
+clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
+compression = ["zstandard (>=0.19.0)"]
+computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
+consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
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+gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
+hdf5 = ["tables (>=3.8.0)"]
+html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
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+output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
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+plot = ["matplotlib (>=3.6.3)"]
+postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
+pyarrow = ["pyarrow (>=10.0.1)"]
+spss = ["pyreadstat (>=1.2.0)"]
+sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.9.2)"]
+
 [[package]]
 name = "pastel"
 version = "0.2.1"
 description = "Bring colors to your terminal."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["dev"]
 files = [
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@@ -2191,28 +3575,192 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
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 ]
 
+[[package]]
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+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+zstandard = {version = ">=0.21.0", optional = true, markers = "extra == \"install\""}
+
+[package.extras]
+all = ["pbs-installer[download,install]"]
+download = ["httpx (>=0.27.0,<1)"]
+install = ["zstandard (>=0.21.0)"]
+
+[[package]]
+name = "pika"
+version = "1.3.2"
+description = "Pika Python AMQP Client Library"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
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+gevent = ["gevent"]
+tornado = ["tornado"]
+twisted = ["twisted"]
+
+[[package]]
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+version = "11.3.0"
+description = "Python Imaging Library (Fork)"
+optional = false
+python-versions = ">=3.9"
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+    {file = "pillow-11.3.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7c8ec7a017ad1bd562f93dbd8505763e688d388cde6e4a010ae1486916e713e6"},
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+    {file = "pillow-11.3.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fe27fb049cdcca11f11a7bfda64043c37b30e6b91f10cb5bab275806c32f6ab3"},
+    {file = "pillow-11.3.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:465b9e8844e3c3519a983d58b80be3f668e2a7a5db97f2784e7079fbc9f9822c"},
+    {file = "pillow-11.3.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5418b53c0d59b3824d05e029669efa023bbef0f3e92e75ec8428f3799487f361"},
+    {file = "pillow-11.3.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:504b6f59505f08ae014f724b6207ff6222662aab5cc9542577fb084ed0676ac7"},
+    {file = "pillow-11.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c84d689db21a1c397d001aa08241044aa2069e7587b398c8cc63020390b1c1b8"},
+    {file = "pillow-11.3.0.tar.gz", hash = "sha256:3828ee7586cd0b2091b6209e5ad53e20d0649bbe87164a459d0676e035e8f523"},
+]
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
+test-arrow = ["pyarrow"]
+tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
+xmp = ["defusedxml"]
+
 [[package]]
 name = "pinecone"
-version = "5.4.2"
+version = "7.3.0"
 description = "Pinecone client and SDK"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
-    {file = "pinecone-5.4.2-py3-none-any.whl", hash = "sha256:1fad082c66a50a229b58cda0c3a1fa0083532dc9de8303015fe4071cb25c19a8"},
-    {file = "pinecone-5.4.2.tar.gz", hash = "sha256:23e8aaa73b400bb11a3b626c4129284fb170f19025b82f65bd89cbb0dab2b873"},
+    {file = "pinecone-7.3.0-py3-none-any.whl", hash = "sha256:315b8fef20320bef723ecbb695dec0aafa75d8434d86e01e5a0e85933e1009a8"},
+    {file = "pinecone-7.3.0.tar.gz", hash = "sha256:307edc155621d487c20dc71b76c3ad5d6f799569ba42064190d03917954f9a7b"},
 ]
 
 [package.dependencies]
 certifi = ">=2019.11.17"
-pinecone-plugin-inference = ">=2.0.0,<4.0.0"
+pinecone-plugin-assistant = ">=1.6.0,<2.0.0"
 pinecone-plugin-interface = ">=0.0.7,<0.0.8"
 python-dateutil = ">=2.5.3"
-tqdm = ">=4.64.1"
 typing-extensions = ">=3.7.4"
 urllib3 = [
     {version = ">=1.26.0", markers = "python_version >= \"3.8\" and python_version < \"3.12\""},
@@ -2220,21 +3768,24 @@ urllib3 = [
 ]
 
 [package.extras]
-grpc = ["googleapis-common-protos (>=1.53.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=4.25,<5.0)", "protoc-gen-openapiv2 (>=0.0.1,<0.0.2)"]
+asyncio = ["aiohttp (>=3.9.0)", "aiohttp-retry (>=2.9.1,<3.0.0)"]
+grpc = ["googleapis-common-protos (>=1.66.0)", "grpcio (>=1.44.0) ; python_version >= \"3.8\" and python_version < \"3.11\"", "grpcio (>=1.59.0) ; python_version >= \"3.11\" and python_version < \"4.0\"", "grpcio (>=1.68.0) ; python_version >= \"3.13\" and python_version < \"4.0\"", "lz4 (>=3.1.3)", "protobuf (>=5.29,<6.0)", "protoc-gen-openapiv2 (>=0.0.1,<0.0.2)"]
 
 [[package]]
-name = "pinecone-plugin-inference"
-version = "3.1.0"
-description = "Embeddings plugin for Pinecone SDK"
+name = "pinecone-plugin-assistant"
+version = "1.7.0"
+description = "Assistant plugin for Pinecone SDK"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
-    {file = "pinecone_plugin_inference-3.1.0-py3-none-any.whl", hash = "sha256:96e861527bd41e90d58b7e76abd4e713d9af28f63e76a51864dfb9cf7180e3df"},
-    {file = "pinecone_plugin_inference-3.1.0.tar.gz", hash = "sha256:eff826178e1fe448577be2ff3d8dbb072befbbdc2d888e214624523a1c37cd8d"},
+    {file = "pinecone_plugin_assistant-1.7.0-py3-none-any.whl", hash = "sha256:864cb8e7930588e6c2da97c6d44f0240969195f43fa303c5db76cbc12bf903a5"},
+    {file = "pinecone_plugin_assistant-1.7.0.tar.gz", hash = "sha256:e26e3ba10a8b71c3da0d777cff407668022e82963c4913d0ffeb6c552721e482"},
 ]
 
 [package.dependencies]
-pinecone-plugin-interface = ">=0.0.7,<0.0.8"
+packaging = ">=24.2,<25.0"
+requests = ">=2.32.3,<3.0.0"
 
 [[package]]
 name = "pinecone-plugin-interface"
@@ -2242,84 +3793,235 @@ version = "0.0.7"
 description = "Plugin interface for the Pinecone python client"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
 files = [
     {file = "pinecone_plugin_interface-0.0.7-py3-none-any.whl", hash = "sha256:875857ad9c9fc8bbc074dbe780d187a2afd21f5bfe0f3b08601924a61ef1bba8"},
     {file = "pinecone_plugin_interface-0.0.7.tar.gz", hash = "sha256:b8e6675e41847333aa13923cc44daa3f85676d7157324682dc1640588a982846"},
 ]
 
+[[package]]
+name = "pkginfo"
+version = "1.12.1.2"
+description = "Query metadata from sdists / bdists / installed packages."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pkginfo-1.12.1.2-py3-none-any.whl", hash = "sha256:c783ac885519cab2c34927ccfa6bf64b5a704d7c69afaea583dd9b7afe969343"},
+    {file = "pkginfo-1.12.1.2.tar.gz", hash = "sha256:5cd957824ac36f140260964eba3c6be6442a8359b8c48f4adf90210f33a04b7b"},
+]
+
+[package.extras]
+testing = ["pytest", "pytest-cov", "wheel"]
+
 [[package]]
 name = "platformdirs"
-version = "4.3.6"
+version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
-    {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
-    {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
+    {file = "platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4"},
+    {file = "platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc"},
 ]
 
 [package.extras]
-docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.11.2)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.14.1)"]
+
+[[package]]
+name = "playwright"
+version = "1.54.0"
+description = "A high-level API to automate web browsers"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "playwright-1.54.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:bf3b845af744370f1bd2286c2a9536f474cc8a88dc995b72ea9a5be714c9a77d"},
+    {file = "playwright-1.54.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:780928b3ca2077aea90414b37e54edd0c4bbb57d1aafc42f7aa0b3fd2c2fac02"},
+    {file = "playwright-1.54.0-py3-none-macosx_11_0_universal2.whl", hash = "sha256:81d0b6f28843b27f288cfe438af0a12a4851de57998009a519ea84cee6fbbfb9"},
+    {file = "playwright-1.54.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:09919f45cc74c64afb5432646d7fef0d19fff50990c862cb8d9b0577093f40cc"},
+    {file = "playwright-1.54.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13ae206c55737e8e3eae51fb385d61c0312eeef31535643bb6232741b41b6fdc"},
+    {file = "playwright-1.54.0-py3-none-win32.whl", hash = "sha256:0b108622ffb6906e28566f3f31721cd57dda637d7e41c430287804ac01911f56"},
+    {file = "playwright-1.54.0-py3-none-win_amd64.whl", hash = "sha256:9e5aee9ae5ab1fdd44cd64153313a2045b136fcbcfb2541cc0a3d909132671a2"},
+    {file = "playwright-1.54.0-py3-none-win_arm64.whl", hash = "sha256:a975815971f7b8dca505c441a4c56de1aeb56a211290f8cc214eeef5524e8d75"},
+]
+
+[package.dependencies]
+greenlet = ">=3.1.1,<4.0.0"
+pyee = ">=13,<14"
 
 [[package]]
 name = "pluggy"
-version = "1.5.0"
+version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
-    {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
-    {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
+    {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
+    {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
 ]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "poethepoet"
-version = "0.31.1"
-description = "A task runner that works well with poetry."
+version = "0.36.0"
+description = "A task runner that works well with poetry and uv."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
-    {file = "poethepoet-0.31.1-py3-none-any.whl", hash = "sha256:7fdfa0ac6074be9936723e7231b5bfaad2923e96c674a9857e81d326cf8ccdc2"},
-    {file = "poethepoet-0.31.1.tar.gz", hash = "sha256:d6b66074edf85daf115bb916eae0afd6387d19e1562e1c9ef7d61d5c585696aa"},
+    {file = "poethepoet-0.36.0-py3-none-any.whl", hash = "sha256:693e3c1eae9f6731d3613c3c0c40f747d3c5c68a375beda42e590a63c5623308"},
+    {file = "poethepoet-0.36.0.tar.gz", hash = "sha256:2217b49cb4e4c64af0b42ff8c4814b17f02e107d38bc461542517348ede25663"},
 ]
 
 [package.dependencies]
 pastel = ">=0.2.1,<0.3.0"
-pyyaml = ">=6.0.2,<7.0.0"
+pyyaml = ">=6.0.2,<7.0"
 tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""}
 
 [package.extras]
-poetry-plugin = ["poetry (>=1.0,<2.0)"]
+poetry-plugin = ["poetry (>=1.2.0,<3.0.0) ; python_version < \"4.0\""]
+
+[[package]]
+name = "poetry"
+version = "2.1.1"
+description = "Python dependency management and packaging made easy."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "poetry-2.1.1-py3-none-any.whl", hash = "sha256:1d433880bd5b401327ddee789ccfe9ff197bf3b0cd240f0bc7cc99c84d14b16c"},
+    {file = "poetry-2.1.1.tar.gz", hash = "sha256:d82673865bf13d6cd0dacf28c69a89670456d8df2f9e5da82bfb5f833ba00efc"},
+]
+
+[package.dependencies]
+build = ">=1.2.1,<2.0.0"
+cachecontrol = {version = ">=0.14.0,<0.15.0", extras = ["filecache"]}
+cleo = ">=2.1.0,<3.0.0"
+dulwich = ">=0.22.6,<0.23.0"
+fastjsonschema = ">=2.18.0,<3.0.0"
+findpython = ">=0.6.2,<0.7.0"
+installer = ">=0.7.0,<0.8.0"
+keyring = ">=25.1.0,<26.0.0"
+packaging = ">=24.0"
+pbs-installer = {version = ">=2025.1.6,<2026.0.0", extras = ["download", "install"]}
+pkginfo = ">=1.12,<2.0"
+platformdirs = ">=3.0.0,<5"
+poetry-core = "2.1.1"
+pyproject-hooks = ">=1.0.0,<2.0.0"
+requests = ">=2.26,<3.0"
+requests-toolbelt = ">=1.0.0,<2.0.0"
+shellingham = ">=1.5,<2.0"
+tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
+tomlkit = ">=0.11.4,<1.0.0"
+trove-classifiers = ">=2022.5.19"
+virtualenv = ">=20.26.6,<21.0.0"
+xattr = {version = ">=1.0.0,<2.0.0", markers = "sys_platform == \"darwin\""}
+
+[[package]]
+name = "poetry-core"
+version = "2.1.1"
+description = "Poetry PEP 517 Build Backend"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "poetry_core-2.1.1-py3-none-any.whl", hash = "sha256:bc3b0382ab4d00d5d780277fd0aad1580eb4403613b37fc60fec407b5bee1fe6"},
+    {file = "poetry_core-2.1.1.tar.gz", hash = "sha256:c1a1f6f00e4254742f40988a8caf665549101cf9991122cd5de1198897768b1a"},
+]
+
+[[package]]
+name = "portalocker"
+version = "2.10.1"
+description = "Wraps the portalocker recipe for easy usage"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf"},
+    {file = "portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f"},
+]
+
+[package.dependencies]
+pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+docs = ["sphinx (>=1.7.1)"]
+redis = ["redis"]
+tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
 
 [[package]]
 name = "postgrest"
-version = "0.18.0"
+version = "1.1.1"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
-    {file = "postgrest-0.18.0-py3-none-any.whl", hash = "sha256:200baad0d23fee986b3a0ffd3e07bfe0cdd40e09760f11e8e13a6c0c2376d5fa"},
-    {file = "postgrest-0.18.0.tar.gz", hash = "sha256:29c1a94801a17eb9ad590189993fe5a7a6d8c1bfc11a3c9d0ce7ba146454ebb3"},
+    {file = "postgrest-1.1.1-py3-none-any.whl", hash = "sha256:98a6035ee1d14288484bfe36235942c5fb2d26af6d8120dfe3efbe007859251a"},
+    {file = "postgrest-1.1.1.tar.gz", hash = "sha256:f3bb3e8c4602775c75c844a31f565f5f3dd584df4d36d683f0b67d01a86be322"},
 ]
 
 [package.dependencies]
 deprecation = ">=2.1.0,<3.0.0"
-httpx = {version = ">=0.26,<0.28", extras = ["http2"]}
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
 pydantic = ">=1.9,<3.0"
 strenum = {version = ">=0.4.9,<0.5.0", markers = "python_version < \"3.11\""}
 
+[[package]]
+name = "posthog"
+version = "6.1.1"
+description = "Integrate PostHog into any python application."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "posthog-6.1.1-py3-none-any.whl", hash = "sha256:329fd3d06b4d54cec925f47235bd8e327c91403c2f9ec38f1deb849535934dba"},
+    {file = "posthog-6.1.1.tar.gz", hash = "sha256:b453f54c4a2589da859fd575dd3bf86fcb40580727ec399535f268b1b9f318b8"},
+]
+
+[package.dependencies]
+backoff = ">=1.10.0"
+distro = ">=1.5.0"
+python-dateutil = ">=2.2"
+requests = ">=2.7,<3.0"
+six = ">=1.5"
+typing-extensions = ">=4.2.0"
+
+[package.extras]
+dev = ["django-stubs", "lxml", "mypy", "mypy-baseline", "packaging", "pre-commit", "pydantic", "ruff", "setuptools", "tomli", "tomli_w", "twine", "types-mock", "types-python-dateutil", "types-requests", "types-setuptools", "types-six", "wheel"]
+langchain = ["langchain (>=0.2.0)"]
+test = ["anthropic", "coverage", "django", "freezegun (==1.5.1)", "google-genai", "langchain-anthropic (>=0.3.15)", "langchain-community (>=0.3.25)", "langchain-core (>=0.3.65)", "langchain-openai (>=0.3.22)", "langgraph (>=0.4.8)", "mock (>=2.0.0)", "openai", "parameterized (>=0.8.1)", "pydantic", "pytest", "pytest-asyncio", "pytest-timeout"]
+
+[[package]]
+name = "postmarker"
+version = "1.0"
+description = "Python client library for Postmark API"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "postmarker-1.0-py3-none-any.whl", hash = "sha256:0fa49f236c7193650896cbf31bbfac34043e352574c6c7e3e2ad2b954704f064"},
+    {file = "postmarker-1.0.tar.gz", hash = "sha256:e735303fdf8ede667a1c6e64a95a96e97f0dabbeca726d0ae1f066bdd799fe34"},
+]
+
+[package.dependencies]
+requests = ">=2.20.0"
+
 [[package]]
 name = "praw"
 version = "7.8.1"
 description = "Python Reddit API Wrapper."
 optional = false
 python-versions = "~=3.8"
+groups = ["main"]
 files = [
     {file = "praw-7.8.1-py3-none-any.whl", hash = "sha256:15917a81a06e20ff0aaaf1358481f4588449fa2421233040cb25e5c8202a3e2f"},
     {file = "praw-7.8.1.tar.gz", hash = "sha256:3c5767909f71e48853eb6335fef7b50a43cbe3da728cdfb16d3be92904b0a4d8"},
@@ -2343,6 +4045,7 @@ version = "2.4.0"
 description = "\"Low-level communication layer for PRAW 4+."
 optional = false
 python-versions = "~=3.8"
+groups = ["main"]
 files = [
     {file = "prawcore-2.4.0-py3-none-any.whl", hash = "sha256:29af5da58d85704b439ad3c820873ad541f4535e00bb98c66f0fbcc8c603065a"},
     {file = "prawcore-2.4.0.tar.gz", hash = "sha256:b7b2b5a1d04406e086ab4e79988dc794df16059862f329f4c6a43ed09986c335"},
@@ -2357,12 +4060,32 @@ dev = ["packaging", "prawcore[lint]", "prawcore[test]"]
 lint = ["pre-commit", "ruff (>=0.0.291)"]
 test = ["betamax (>=0.8,<0.9)", "pytest (>=2.7.3)", "urllib3 (==1.26.*)"]
 
+[[package]]
+name = "pre-commit"
+version = "4.2.0"
+description = "A framework for managing and maintaining multi-language pre-commit hooks."
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+files = [
+    {file = "pre_commit-4.2.0-py2.py3-none-any.whl", hash = "sha256:a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd"},
+    {file = "pre_commit-4.2.0.tar.gz", hash = "sha256:601283b9757afd87d40c4c4a9b2b5de9637a8ea02eaff7adc2d0fb4e04841146"},
+]
+
+[package.dependencies]
+cfgv = ">=2.0.0"
+identify = ">=1.0.0"
+nodeenv = ">=0.11.1"
+pyyaml = ">=5.1"
+virtualenv = ">=20.10.0"
+
 [[package]]
 name = "prisma"
 version = "0.15.0"
 description = "Prisma Client Python is an auto-generated and fully type-safe database client"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "prisma-0.15.0-py3-none-any.whl", hash = "sha256:de949cc94d3d91243615f22ff64490aa6e2d7cb81aabffce53d92bd3977c09a4"},
     {file = "prisma-0.15.0.tar.gz", hash = "sha256:5cd6402aa8322625db3fc1152040404e7fc471fe7f8fa3a314fa8a99529ca107"},
@@ -2383,162 +4106,205 @@ typing-extensions = ">=4.5.0"
 all = ["nodejs-bin"]
 node = ["nodejs-bin"]
 
+[[package]]
+name = "proglog"
+version = "0.1.12"
+description = "Log and progress bar manager for console, notebooks, web..."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+    {file = "proglog-0.1.12.tar.gz", hash = "sha256:361ee074721c277b89b75c061336cb8c5f287c92b043efa562ccf7866cda931c"},
+]
+
+[package.dependencies]
+tqdm = "*"
+
+[[package]]
+name = "prometheus-client"
+version = "0.22.1"
+description = "Python client for the Prometheus monitoring system."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "prometheus_client-0.22.1.tar.gz", hash = "sha256:190f1331e783cf21eb60bca559354e0a4d4378facecf78f5428c39b675d20d28"},
+]
+
+[package.extras]
+twisted = ["twisted"]
+
 [[package]]
 name = "propcache"
-version = "0.2.1"
+version = "0.3.2"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
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 test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
@@ -2547,6 +4313,7 @@ version = "2.9.10"
 description = "psycopg2 - Python-PostgreSQL Database Adapter"
 optional = false
 python-versions = ">=3.8"
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 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = ">=3.8"
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@@ -2634,6 +4403,7 @@ version = "0.4.1"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = ">=3.8"
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@@ -2642,15 +4412,108 @@ files = [
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 pyasn1 = ">=0.4.6,<0.7.0"
 
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 [[package]]
@@ -2659,6 +4522,7 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
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 [package.extras]
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+    {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca"},
+    {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039"},
+    {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27"},
+    {file = "pydantic_core-2.33.2.tar.gz", hash = "sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc"},
 ]
 
 [package.dependencies]
@@ -2798,41 +4665,80 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.7.0"
+version = "2.10.1"
 description = "Settings management using Pydantic"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "pydantic_settings-2.7.0-py3-none-any.whl", hash = "sha256:e00c05d5fa6cbbb227c84bd7487c5c1065084119b750df7c8c1a554aed236eb5"},
-    {file = "pydantic_settings-2.7.0.tar.gz", hash = "sha256:ac4bfd4a36831a48dbf8b2d9325425b549a0a6f18cea118436d728eb4f1c4d66"},
+    {file = "pydantic_settings-2.10.1-py3-none-any.whl", hash = "sha256:a60952460b99cf661dc25c29c0ef171721f98bfcb52ef8d9ea4c943d7c8cc796"},
+    {file = "pydantic_settings-2.10.1.tar.gz", hash = "sha256:06f0062169818d0f5524420a360d632d5857b83cffd4d42fe29597807a1614ee"},
 ]
 
 [package.dependencies]
 pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
+typing-inspection = ">=0.4.0"
 
 [package.extras]
+aws-secrets-manager = ["boto3 (>=1.35.0)", "boto3-stubs[secretsmanager]"]
 azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
+gcp-secret-manager = ["google-cloud-secret-manager (>=2.23.1)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
+[[package]]
+name = "pyee"
+version = "13.0.0"
+description = "A rough port of Node.js's EventEmitter to Python with a few tricks of its own"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "pyee-13.0.0-py3-none-any.whl", hash = "sha256:48195a3cddb3b1515ce0695ed76036b5ccc2ef3a9f963ff9f77aec0139845498"},
+    {file = "pyee-13.0.0.tar.gz", hash = "sha256:b391e3c5a434d1f5118a25615001dbc8f669cf410ab67d04c4d4e07c55481c37"},
+]
+
+[package.dependencies]
+typing-extensions = "*"
+
+[package.extras]
+dev = ["black", "build", "flake8", "flake8-black", "isort", "jupyter-console", "mkdocs", "mkdocs-include-markdown-plugin", "mkdocstrings[python]", "mypy", "pytest", "pytest-asyncio ; python_version >= \"3.4\"", "pytest-trio ; python_version >= \"3.7\"", "sphinx", "toml", "tox", "trio", "trio ; python_version > \"3.6\"", "trio-typing ; python_version > \"3.6\"", "twine", "twisted", "validate-pyproject[all]"]
+
 [[package]]
 name = "pyflakes"
-version = "3.2.0"
+version = "3.4.0"
 description = "passive checker of Python programs"
 optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "pyflakes-3.4.0-py2.py3-none-any.whl", hash = "sha256:f742a7dbd0d9cb9ea41e9a24a918996e8170c799fa528688d40dd582c8265f4f"},
+    {file = "pyflakes-3.4.0.tar.gz", hash = "sha256:b24f96fafb7d2ab0ec5075b7350b3d2d2218eab42003821c06344973d3ea2f58"},
+]
+
+[[package]]
+name = "pygments"
+version = "2.19.2"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
-    {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
-    {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
+    {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
+    {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
 ]
 
+[package.extras]
+windows-terminal = ["colorama (>=0.4.6)"]
+
 [[package]]
 name = "pyjwt"
 version = "2.10.1"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"},
     {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"},
@@ -2846,24 +4752,38 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.2.0"
+version = "3.2.3"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "pyparsing-3.2.0-py3-none-any.whl", hash = "sha256:93d9577b88da0bbea8cc8334ee8b918ed014968fd2ec383e868fb8afb1ccef84"},
-    {file = "pyparsing-3.2.0.tar.gz", hash = "sha256:cbf74e27246d595d9a74b186b810f6fbb86726dbf3b9532efb343f6d7294fe9c"},
+    {file = "pyparsing-3.2.3-py3-none-any.whl", hash = "sha256:a749938e02d6fd0b59b356ca504a24982314bb090c383e3cf201c95ef7e2bfcf"},
+    {file = "pyparsing-3.2.3.tar.gz", hash = "sha256:b9c13f1ab8b3b542f72e28f634bad4de758ab3ce4546e4301970ad6fa77c38be"},
 ]
 
 [package.extras]
 diagrams = ["jinja2", "railroad-diagrams"]
 
+[[package]]
+name = "pyproject-hooks"
+version = "1.2.0"
+description = "Wrappers to call pyproject.toml-based build backend hooks."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "pyproject_hooks-1.2.0-py3-none-any.whl", hash = "sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913"},
+    {file = "pyproject_hooks-1.2.0.tar.gz", hash = "sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8"},
+]
+
 [[package]]
 name = "pyrfc3339"
 version = "2.0.1"
 description = "Generate and parse RFC 3339 timestamps"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "pyRFC3339-2.0.1-py3-none-any.whl", hash = "sha256:30b70a366acac3df7386b558c21af871522560ed7f3f73cf344b8c2cbb8b0c9d"},
     {file = "pyrfc3339-2.0.1.tar.gz", hash = "sha256:e47843379ea35c1296c3b6c67a948a1a490ae0584edfcbdea0eaffb5dd29960b"},
@@ -2871,13 +4791,14 @@ files = [
 
 [[package]]
 name = "pyright"
-version = "1.1.390"
+version = "1.1.403"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
-    {file = "pyright-1.1.390-py3-none-any.whl", hash = "sha256:ecebfba5b6b50af7c1a44c2ba144ba2ab542c227eb49bc1f16984ff714e0e110"},
-    {file = "pyright-1.1.390.tar.gz", hash = "sha256:aad7f160c49e0fbf8209507a15e17b781f63a86a1facb69ca877c71ef2e9538d"},
+    {file = "pyright-1.1.403-py3-none-any.whl", hash = "sha256:c0eeca5aa76cbef3fcc271259bbd785753c7ad7bcac99a9162b4c4c7daed23b3"},
+    {file = "pyright-1.1.403.tar.gz", hash = "sha256:3ab69b9f41c67fb5bbb4d7a36243256f0d549ed3608678d381d5f51863921104"},
 ]
 
 [package.dependencies]
@@ -2889,54 +4810,44 @@ all = ["nodejs-wheel-binaries", "twine (>=3.4.1)"]
 dev = ["twine (>=3.4.1)"]
 nodejs = ["nodejs-wheel-binaries"]
 
-[[package]]
-name = "pyro5"
-version = "5.15"
-description = "Remote object communication library, fifth major version"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "Pyro5-5.15-py3-none-any.whl", hash = "sha256:4d85428ed75985e63f159d2486ad5680743ea76f766340fd30b65dd20f83d471"},
-    {file = "Pyro5-5.15.tar.gz", hash = "sha256:82c3dfc9860b49f897b28ff24fe6716c841672c600af8fe40d0e3a7fac9a3f5e"},
-]
-
-[package.dependencies]
-serpent = ">=1.41"
-
 [[package]]
 name = "pytest"
-version = "8.3.4"
+version = "8.4.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
-    {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"},
-    {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"},
+    {file = "pytest-8.4.1-py3-none-any.whl", hash = "sha256:539c70ba6fcead8e78eebbf1115e8b589e7565830d7d006a8723f19ac8a0afb7"},
+    {file = "pytest-8.4.1.tar.gz", hash = "sha256:7c67fd69174877359ed9371ec3af8a3d2b04741818c51e5e99cc1742251fa93c"},
 ]
 
 [package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
+colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
+iniconfig = ">=1"
+packaging = ">=20"
 pluggy = ">=1.5,<2"
+pygments = ">=2.7.2"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.25.0"
+version = "1.1.0"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "pytest_asyncio-0.25.0-py3-none-any.whl", hash = "sha256:db5432d18eac6b7e28b46dcd9b69921b55c3b1086e85febfe04e70b18d9e81b3"},
-    {file = "pytest_asyncio-0.25.0.tar.gz", hash = "sha256:8c0610303c9e0442a5db8604505fc0f545456ba1528824842b37b4a626cbf609"},
+    {file = "pytest_asyncio-1.1.0-py3-none-any.whl", hash = "sha256:5fe2d69607b0bd75c656d1211f969cadba035030156745ee09e7d71740e58ecf"},
+    {file = "pytest_asyncio-1.1.0.tar.gz", hash = "sha256:796aa822981e01b68c12e4827b8697108f7205020f24b5793b3c41555dab68ea"},
 ]
 
 [package.dependencies]
+backports-asyncio-runner = {version = ">=1.1,<2", markers = "python_version < \"3.11\""}
 pytest = ">=8.2,<9"
 
 [package.extras]
@@ -2945,13 +4856,14 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-mock"
-version = "3.14.0"
+version = "3.14.1"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
-    {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
-    {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
+    {file = "pytest_mock-3.14.1-py3-none-any.whl", hash = "sha256:178aefcd11307d874b4cd3100344e7e2d888d9791a6a1d9bfe90fbc1b74fd1d0"},
+    {file = "pytest_mock-3.14.1.tar.gz", hash = "sha256:159e9edac4c451ce77a5cdb9fc5d1100708d2dd4ba3c3df572f14097351af80e"},
 ]
 
 [package.dependencies]
@@ -2960,12 +4872,28 @@ pytest = ">=6.2.5"
 [package.extras]
 dev = ["pre-commit", "pytest-asyncio", "tox"]
 
+[[package]]
+name = "pytest-snapshot"
+version = "0.9.0"
+description = "A plugin for snapshot testing with pytest."
+optional = false
+python-versions = ">=3.5"
+groups = ["main"]
+files = [
+    {file = "pytest-snapshot-0.9.0.tar.gz", hash = "sha256:c7013c3abc3e860f9feff899f8b4debe3708650d8d8242a61bf2625ff64db7f3"},
+    {file = "pytest_snapshot-0.9.0-py3-none-any.whl", hash = "sha256:4b9fe1c21c868fe53a545e4e3184d36bc1c88946e3f5c1d9dd676962a9b3d4ab"},
+]
+
+[package.dependencies]
+pytest = ">=3.0.0"
+
 [[package]]
 name = "pytest-watcher"
 version = "0.4.3"
 description = "Automatically rerun your tests on file modifications"
 optional = false
 python-versions = "<4.0.0,>=3.7.0"
+groups = ["dev"]
 files = [
     {file = "pytest_watcher-0.4.3-py3-none-any.whl", hash = "sha256:d59b1e1396f33a65ea4949b713d6884637755d641646960056a90b267c3460f9"},
     {file = "pytest_watcher-0.4.3.tar.gz", hash = "sha256:0cb0e4661648c8c0ff2b2d25efa5a8e421784b9e4c60fcecbf9b7c30b2d731b3"},
@@ -2981,6 +4909,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -2991,13 +4920,14 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.1.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
-    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+    {file = "python_dotenv-1.1.1-py3-none-any.whl", hash = "sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc"},
+    {file = "python_dotenv-1.1.1.tar.gz", hash = "sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab"},
 ]
 
 [package.extras]
@@ -3009,6 +4939,7 @@ version = "0.0.20"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
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 python-versions = ">=3.8"
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 [[package]]
 name = "replicate"
-version = "1.0.4"
+version = "1.0.7"
 description = "Python client for Replicate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -3156,18 +5378,19 @@ typing_extensions = ">=4.5.0"
 
 [[package]]
 name = "requests"
-version = "2.32.3"
+version = "2.32.4"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
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 ]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<4"
+charset_normalizer = ">=2,<4"
 idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<3"
 
@@ -3181,6 +5404,7 @@ version = "2.0.0"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=3.4"
+groups = ["main"]
 files = [
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@@ -3193,127 +5417,204 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
+[[package]]
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+version = "1.0.0"
+description = "A utility belt for advanced users of python-requests"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
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+]
+
+[package.dependencies]
+requests = ">=2.0.1,<3.0.0"
+
+[[package]]
+name = "rich"
+version = "14.1.0"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.8.0"
+groups = ["main"]
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+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
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-version = "0.22.3"
+version = "0.26.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
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 python-versions = ">=3.9"
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 ]
 
+[package.dependencies]
+cryptography = ">=2.0"
+jeepney = ">=0.6"
+
 [[package]]
 name = "semver"
-version = "3.0.2"
+version = "3.0.4"
 description = "Python helper for Semantic Versioning (https://semver.org)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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 ]
 
 [[package]]
 name = "sentry-sdk"
-version = "2.19.2"
+version = "2.33.2"
 description = "Python client for Sentry (https://sentry.io)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
+anthropic = {version = ">=0.16", optional = true, markers = "extra == \"anthropic\""}
 certifi = "*"
+fastapi = {version = ">=0.79.0", optional = true, markers = "extra == \"fastapi\""}
+launchdarkly-server-sdk = {version = ">=9.8.0", optional = true, markers = "extra == \"launchdarkly\""}
+openai = {version = ">=1.0.0", optional = true, markers = "extra == \"openai\""}
+sqlalchemy = {version = ">=1.2", optional = true, markers = "extra == \"sqlalchemy\""}
+tiktoken = {version = ">=0.3.0", optional = true, markers = "extra == \"openai\""}
 urllib3 = ">=1.26.11"
 
 [package.extras]
@@ -3409,35 +5736,61 @@ sanic = ["sanic (>=0.8)"]
 sqlalchemy = ["sqlalchemy (>=1.2)"]
 starlette = ["starlette (>=0.19.1)"]
 starlite = ["starlite (>=1.48)"]
+statsig = ["statsig (>=0.55.3)"]
 tornado = ["tornado (>=6)"]
+unleash = ["UnleashClient (>=6.0.1)"]
 
 [[package]]
-name = "serpent"
-version = "1.41"
-description = "Serialization based on ast.literal_eval"
+name = "setuptools"
+version = "80.9.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
-python-versions = ">=3.2"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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-    {file = "serpent-1.41.tar.gz", hash = "sha256:0407035fe3c6644387d48cff1467d5aa9feff814d07372b78677ed0ee3ed7095"},
+    {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"},
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 ]
 
+[package.extras]
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+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
+
 [[package]]
 name = "sgmllib3k"
 version = "1.0.0"
 description = "Py3k port of sgmllib."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
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 ]
 
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
+]
+
 [[package]]
 name = "six"
 version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
 files = [
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@@ -3449,6 +5802,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
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@@ -3456,80 +5810,81 @@ files = [
 
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 name = "sqlalchemy"
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+version = "2.0.41"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
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 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -3540,7 +5895,7 @@ mysql-connector = ["mysql-connector-python"]
 oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
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 postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
@@ -3549,36 +5904,68 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
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 ]
 
 [package.dependencies]
-httpx = {version = ">=0.26,<0.28", extras = ["http2"]}
+deprecation = ">=2.1.0,<3.0.0"
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
 python-dateutil = ">=2.8.2,<3.0.0"
 
 [[package]]
@@ -3587,6 +5974,7 @@ version = "0.4.15"
 description = "An Enum that inherits from str."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "StrEnum-0.4.15-py3-none-any.whl", hash = "sha256:a30cda4af7cc6b5bf52c8055bc4bf4b2b6b14a93b574626da33df53cf7740659"},
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@@ -3597,60 +5985,197 @@ docs = ["myst-parser[linkify]", "sphinx", "sphinx-rtd-theme"]
 release = ["twine"]
 test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
 
+[[package]]
+name = "stripe"
+version = "11.6.0"
+description = "Python bindings for the Stripe API"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+requests = {version = ">=2.20", markers = "python_version >= \"3.0\""}
+typing-extensions = {version = ">=4.5.0", markers = "python_version >= \"3.7\""}
+
 [[package]]
 name = "supabase"
-version = "2.10.0"
+version = "2.17.0"
 description = "Supabase client for Python."
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
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-httpx = ">=0.26,<0.28"
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-realtime = ">=2.0.0,<3.0.0"
-storage3 = ">=0.9.0,<0.10.0"
-supafunc = ">=0.7.0,<0.8.0"
+gotrue = "2.12.3"
+httpx = ">=0.26,<0.29"
+postgrest = "1.1.1"
+realtime = "2.6.0"
+storage3 = "0.12.0"
+supafunc = "0.10.1"
 
 [[package]]
 name = "supafunc"
-version = "0.7.0"
+version = "0.10.1"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-httpx = {version = ">=0.26,<0.28", extras = ["http2"]}
+httpx = {version = ">=0.26,<0.29", extras = ["http2"]}
+strenum = ">=0.4.15,<0.5.0"
 
 [[package]]
 name = "tenacity"
-version = "9.0.0"
+version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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 ]
 
 [package.extras]
 doc = ["reno", "sphinx"]
 test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
+[[package]]
+name = "tiktoken"
+version = "0.9.0"
+description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+requests = ">=2.26.0"
+
+[package.extras]
+blobfile = ["blobfile (>=2)"]
+
+[[package]]
+name = "tinycss2"
+version = "1.4.0"
+description = "A tiny CSS parser"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+[package.dependencies]
+webencodings = ">=0.4"
+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["pytest", "ruff"]
+
+[[package]]
+name = "todoist-api-python"
+version = "2.1.7"
+description = "Official Python SDK for the Todoist REST API."
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+
+[package.dependencies]
+requests = ">=2.32.3,<3.0.0"
+
+[[package]]
+name = "tokenizers"
+version = "0.21.4"
+description = ""
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+huggingface-hub = ">=0.16.4,<1.0"
+
+[package.extras]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
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@@ -3688,13 +6213,14 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.13.2"
+version = "0.13.3"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
-    {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
+    {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
+    {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
 ]
 
 [[package]]
@@ -3703,6 +6229,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
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@@ -3718,37 +6245,89 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "trove-classifiers"
+version = "2025.5.9.12"
+description = "Canonical source for classifiers on PyPI (pypi.org)."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "trove_classifiers-2025.5.9.12-py3-none-any.whl", hash = "sha256:e381c05537adac78881c8fa345fd0e9970159f4e4a04fcc42cfd3129cca640ce"},
+    {file = "trove_classifiers-2025.5.9.12.tar.gz", hash = "sha256:7ca7c8a7a76e2cd314468c677c69d12cc2357711fcab4a60f87994c1589e5cb5"},
+]
+
+[[package]]
+name = "tweepy"
+version = "4.16.0"
+description = "Library for accessing the X API (Twitter)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "tweepy-4.16.0-py3-none-any.whl", hash = "sha256:48d1a1eb311d2c4b8990abcfa6f9fa2b2ad61be05c723b1a9b4f242656badae2"},
+    {file = "tweepy-4.16.0.tar.gz", hash = "sha256:1d95cbdc50bf6353a387f881f2584eaf60d14e00dbbdd8872a73de79c66878e3"},
+]
+
+[package.dependencies]
+oauthlib = ">=3.2.0,<4"
+requests = ">=2.27.0,<3"
+requests-oauthlib = ">=1.2.0,<3"
+
+[package.extras]
+async = ["aiohttp (>=3.7.3,<4)", "async-lru (>=1.0.3,<3)"]
+dev = ["coverage (>=4.4.2)", "coveralls (>=2.1.0)", "tox (>=3.21.0)"]
+test = ["urllib3 (<2)", "vcrpy (>=1.10.3)"]
+
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
-description = "Backported and Experimental Type Hints for Python 3.8+"
+version = "4.14.1"
+description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
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+    {file = "typing_extensions-4.14.1-py3-none-any.whl", hash = "sha256:d1e1e3b58374dc93031d6eda2420a48ea44a36c2b4766a4fdeb3710755731d76"},
+    {file = "typing_extensions-4.14.1.tar.gz", hash = "sha256:38b39f4aeeab64884ce9f74c94263ef78f3c22467c8724005483154c26648d36"},
 ]
 
+[[package]]
+name = "typing-inspection"
+version = "0.4.1"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
+    {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.12.0"
+
 [[package]]
 name = "tzdata"
-version = "2024.2"
+version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main", "dev"]
 files = [
-    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
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+    {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
+    {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
 ]
 
 [[package]]
 name = "tzlocal"
-version = "5.2"
+version = "5.3.1"
 description = "tzinfo object for the local timezone"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
-    {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
+    {file = "tzlocal-5.3.1-py3-none-any.whl", hash = "sha256:eb1a66c3ef5847adf7a834f1be0800581b683b5608e74f86ecbcef8ab91bb85d"},
+    {file = "tzlocal-5.3.1.tar.gz", hash = "sha256:cceffc7edecefea1f595541dbd6e990cb1ea3d19bf01b2809f362a03dd7921fd"},
 ]
 
 [package.dependencies]
@@ -3763,6 +6342,7 @@ version = "0.18.0"
 description = "A python module that will check for package updates."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "update_checker-0.18.0-py3-none-any.whl", hash = "sha256:cbba64760a36fe2640d80d85306e8fe82b6816659190993b7bdabadee4d4bbfd"},
     {file = "update_checker-0.18.0.tar.gz", hash = "sha256:6a2d45bb4ac585884a6b03f9eade9161cedd9e8111545141e9aa9058932acb13"},
@@ -3778,41 +6358,44 @@ test = ["pytest (>=2.7.3)"]
 
 [[package]]
 name = "uritemplate"
-version = "4.1.1"
+version = "4.2.0"
 description = "Implementation of RFC 6570 URI Templates"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
-    {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
+    {file = "uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686"},
+    {file = "uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.5.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc"},
+    {file = "urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.34.0"
+version = "0.35.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
-    {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
+    {file = "uvicorn-0.35.0-py3-none-any.whl", hash = "sha256:197535216b25ff9b785e29a0b79199f55222193d47f820816e7da751e9bc8d4a"},
+    {file = "uvicorn-0.35.0.tar.gz", hash = "sha256:bc662f087f7cf2ce11a1d7fd70b90c9f98ef2e2831556dd078d131b96cc94a01"},
 ]
 
 [package.dependencies]
@@ -3823,12 +6406,12 @@ httptools = {version = ">=0.6.3", optional = true, markers = "extra == \"standar
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -3836,6 +6419,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -3881,12 +6466,34 @@ dev = ["Cython (>=3.0,<4.0)", "setuptools (>=60)"]
 docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
 test = ["aiohttp (>=3.10.5)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
 
+[[package]]
+name = "virtualenv"
+version = "20.31.2"
+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev"]
+files = [
+    {file = "virtualenv-20.31.2-py3-none-any.whl", hash = "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11"},
+    {file = "virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"},
+]
+
+[package.dependencies]
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
+
 [[package]]
 name = "watchdog"
 version = "6.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"},
     {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"},
@@ -3925,93 +6532,142 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "watchfiles"
-version = "1.0.3"
+version = "1.1.0"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
-files = [
-    {file = "watchfiles-1.0.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:1da46bb1eefb5a37a8fb6fd52ad5d14822d67c498d99bda8754222396164ae42"},
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 ]
 
 [package.dependencies]
 anyio = ">=3.0.0"
 
+[[package]]
+name = "webencodings"
+version = "0.5.1"
+description = "Character encoding aliases for legacy web content"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "websocket-client"
 version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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@@ -4024,304 +6680,454 @@ test = ["websockets"]
 
 [[package]]
 name = "websockets"
-version = "13.1"
+version = "15.0.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
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+    {file = "zstandard-0.23.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1fd7e0f1cfb70eb2f95a19b472ee7ad6d9a0a992ec0ae53286870c104ca939e5"},
+    {file = "zstandard-0.23.0-cp39-cp39-win32.whl", hash = "sha256:43da0f0092281bf501f9c5f6f3b4c975a8a0ea82de49ba3f7100e64d422a1274"},
+    {file = "zstandard-0.23.0-cp39-cp39-win_amd64.whl", hash = "sha256:f8346bfa098532bc1fb6c7ef06783e969d87a99dd1d2a5a18a892c1d7a643c58"},
+    {file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
 [metadata]
-lock-version = "2.0"
-python-versions = ">=3.10,<3.13"
-content-hash = "180e010fe51c228a973a76984523deedda9ebc9b6059ec4a5c5adbe76ce4509e"
+lock-version = "2.1"
+python-versions = ">=3.10,<3.14"
+content-hash = "06ca298144a75656a31df830153013cc372f47bed0fd04c8cb02373a4f40c38b"
diff --git a/autogpt_platform/backend/pyproject.toml b/autogpt_platform/backend/pyproject.toml
index 447861faf210..424e7635e795 100644
--- a/autogpt_platform/backend/pyproject.toml
+++ b/autogpt_platform/backend/pyproject.toml
@@ -1,72 +1,99 @@
 [tool.poetry]
 name = "autogpt-platform-backend"
-version = "0.3.4"
+version = "0.6.22"
 description = "A platform for building AI-powered agentic workflows"
 authors = ["AutoGPT <info@agpt.co>"]
 readme = "README.md"
-packages = [{ include = "backend" }]
+packages = [{ include = "backend", format = "sdist" }]
 
 
 [tool.poetry.dependencies]
-python = ">=3.10,<3.13"
-aio-pika = "^9.5.4"
-anthropic = "^0.40.0"
+python = ">=3.10,<3.14"
+aio-pika = "^9.5.5"
+aiohttp = "^3.10.0"
+aiodns = "^3.5.0"
+anthropic = "^0.59.0"
 apscheduler = "^3.11.0"
 autogpt-libs = { path = "../autogpt_libs", develop = true }
-click = "^8.1.7"
-croniter = "^5.0.1"
-discord-py = "^2.4.0"
-e2b-code-interpreter = "^1.0.1"
-fastapi = "^0.115.5"
+bleach = { extras = ["css"], version = "^6.2.0" }
+click = "^8.2.0"
+cryptography = "^43.0"
+discord-py = "^2.5.2"
+e2b-code-interpreter = "^1.5.2"
+fastapi = "^0.116.1"
 feedparser = "^6.0.11"
-flake8 = "^7.0.0"
-google-api-python-client = "^2.154.0"
-google-auth-oauthlib = "^1.2.1"
-groq = "^0.13.1"
-jinja2 = "^3.1.4"
+flake8 = "^7.3.0"
+google-api-python-client = "^2.177.0"
+google-auth-oauthlib = "^1.2.2"
+google-cloud-storage = "^3.2.0"
+googlemaps = "^4.10.0"
+gravitasml = "^0.1.3"
+groq = "^0.30.0"
+html2text = "^2024.2.26"
+jinja2 = "^3.1.6"
 jsonref = "^1.1.0"
-jsonschema = "^4.22.0"
-ollama = "^0.4.1"
-openai = "^1.57.4"
+jsonschema = "^4.25.0"
+launchdarkly-server-sdk = "^9.12.0"
+mem0ai = "^0.1.115"
+moviepy = "^2.1.2"
+ollama = "^0.5.1"
+openai = "^1.97.1"
+pika = "^1.3.2"
+pinecone = "^7.3.0"
+poetry = "2.1.1" # CHECK DEPENDABOT SUPPORT BEFORE UPGRADING
+postmarker = "^1.0"
 praw = "~7.8.1"
 prisma = "^0.15.0"
-psutil = "^6.1.0"
-pydantic = "^2.9.2"
-pydantic-settings = "^2.3.4"
-pyro5 = "^5.15"
-pytest = "^8.2.1"
-pytest-asyncio = "^0.25.0"
-python-dotenv = "^1.0.1"
-redis = "^5.2.0"
-sentry-sdk = "2.19.2"
-strenum = "^0.4.9"
-supabase = "^2.10.0"
-tenacity = "^9.0.0"
-uvicorn = { extras = ["standard"], version = "^0.34.0" }
-websockets = "^13.1"
-youtube-transcript-api = "^0.6.2"
-googlemaps = "^4.10.0"
-replicate = "^1.0.4"
-pinecone = "^5.3.1"
-cryptography = "^43.0"
-python-multipart = "^0.0.20"
-sqlalchemy = "^2.0.36"
+prometheus-client = "^0.22.1"
+psutil = "^7.0.0"
 psycopg2-binary = "^2.9.10"
-google-cloud-storage = "^2.18.2"
-launchdarkly-server-sdk = "^9.8.0"
+pydantic = { extras = ["email"], version = "^2.11.7" }
+pydantic-settings = "^2.10.1"
+pytest = "^8.4.1"
+pytest-asyncio = "^1.1.0"
+python-dotenv = "^1.1.1"
+python-multipart = "^0.0.20"
+redis = "^6.2.0"
+replicate = "^1.0.6"
+sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlalchemy"], version = "^2.33.2"}
+sqlalchemy = "^2.0.40"
+strenum = "^0.4.9"
+stripe = "^11.5.0"
+supabase = "2.17.0"
+tenacity = "^9.1.2"
+todoist-api-python = "^2.1.7"
+tweepy = "^4.16.0"
+uvicorn = { extras = ["standard"], version = "^0.35.0" }
+websockets = "^15.0"
+youtube-transcript-api = "^1.2.1"
+zerobouncesdk = "^1.1.2"
+# NOTE: please insert new dependencies in their alphabetical location
+pytest-snapshot = "^0.9.0"
+aiofiles = "^24.1.0"
+tiktoken = "^0.9.0"
+aioclamd = "^1.0.0"
+setuptools = "^80.9.0"
+gcloud-aio-storage = "^9.5.0"
+pandas = "^2.3.1"
+firecrawl-py = "^2.16.3"
+exa-py = "^1.14.20"
+croniter = "^6.0.0"
+stagehand = "^0.5.1"
 
 [tool.poetry.group.dev.dependencies]
-poethepoet = "^0.31.0"
-httpx = "^0.27.0"
-pytest-watcher = "^0.4.2"
-requests = "^2.32.3"
-ruff = "^0.8.0"
-pyright = "^1.1.389"
-isort = "^5.13.2"
+aiohappyeyeballs = "^2.6.1"
 black = "^24.10.0"
-aiohappyeyeballs = "^2.4.3"
+faker = "^37.4.2"
+httpx = "^0.28.1"
+isort = "^5.13.2"
+poethepoet = "^0.36.0"
+pre-commit = "^4.2.0"
+pyright = "^1.1.403"
 pytest-mock = "^3.14.0"
-faker = "^33.1.0"
+pytest-watcher = "^0.4.2"
+requests = "^2.32.4"
+ruff = "^0.12.3"
+# NOTE: please insert new dependencies in their alphabetical location
 
 [build-system]
 requires = ["poetry-core"]
@@ -75,7 +102,10 @@ build-backend = "poetry.core.masonry.api"
 [tool.poetry.scripts]
 app = "backend.app:main"
 rest = "backend.rest:main"
+db = "backend.db:main"
 ws = "backend.ws:main"
+scheduler = "backend.scheduler:main"
+notification = "backend.notification:main"
 executor = "backend.exec:main"
 cli = "backend.cli:main"
 format = "linter:format"
@@ -96,6 +126,11 @@ ignore_patterns = []
 
 [tool.pytest.ini_options]
 asyncio_mode = "auto"
+asyncio_default_fixture_loop_scope = "session"
+filterwarnings = [
+    "ignore:'audioop' is deprecated:DeprecationWarning:discord.player",
+    "ignore:invalid escape sequence:DeprecationWarning:tweepy.api",
+]
 
 [tool.ruff]
 target-version = "py310"
diff --git a/autogpt_platform/backend/run_test_data.py b/autogpt_platform/backend/run_test_data.py
new file mode 100644
index 000000000000..b37660729227
--- /dev/null
+++ b/autogpt_platform/backend/run_test_data.py
@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+Run test data creation and update scripts in sequence.
+
+Usage:
+    poetry run python run_test_data.py
+"""
+
+import asyncio
+import subprocess
+import sys
+from pathlib import Path
+
+
+def run_command(cmd: list[str], cwd: Path | None = None) -> bool:
+    """Run a command and return True if successful."""
+    try:
+        result = subprocess.run(
+            cmd, check=True, capture_output=True, text=True, cwd=cwd
+        )
+        if result.stdout:
+            print(result.stdout)
+        return True
+    except subprocess.CalledProcessError as e:
+        print(f"Error running command: {' '.join(cmd)}")
+        print(f"Error: {e.stderr}")
+        return False
+
+
+async def main():
+    """Main function to run test data scripts."""
+    print("=" * 60)
+    print("Running Test Data Scripts for AutoGPT Platform")
+    print("=" * 60)
+    print()
+
+    # Get the backend directory
+    backend_dir = Path(__file__).parent
+    test_dir = backend_dir / "test"
+
+    # Check if we're in the right directory
+    if not (backend_dir / "pyproject.toml").exists():
+        print("ERROR: This script must be run from the backend directory")
+        sys.exit(1)
+
+    print("1. Checking database connection...")
+    print("-" * 40)
+
+    # Import here to ensure proper environment setup
+    try:
+        from prisma import Prisma
+
+        db = Prisma()
+        await db.connect()
+        print("✓ Database connection successful")
+        await db.disconnect()
+    except Exception as e:
+        print(f"✗ Database connection failed: {e}")
+        print("\nPlease ensure:")
+        print("1. The database services are running (docker compose up -d)")
+        print("2. The DATABASE_URL in .env is correct")
+        print("3. Migrations have been run (poetry run prisma migrate deploy)")
+        sys.exit(1)
+
+    print()
+    print("2. Running test data creator...")
+    print("-" * 40)
+
+    # Run test_data_creator.py
+    if run_command(["poetry", "run", "python", "test_data_creator.py"], cwd=test_dir):
+        print()
+        print("✅ Test data created successfully!")
+
+        print()
+        print("3. Running test data updater...")
+        print("-" * 40)
+
+        # Run test_data_updater.py
+        if run_command(
+            ["poetry", "run", "python", "test_data_updater.py"], cwd=test_dir
+        ):
+            print()
+            print("✅ Test data updated successfully!")
+        else:
+            print()
+            print("❌ Test data updater failed!")
+            sys.exit(1)
+    else:
+        print()
+        print("❌ Test data creator failed!")
+        sys.exit(1)
+
+    print()
+    print("=" * 60)
+    print("Test data setup completed successfully!")
+    print("=" * 60)
+    print()
+    print("The materialized views have been populated with test data:")
+    print("- mv_agent_run_counts: Agent execution statistics")
+    print("- mv_review_stats: Store listing review statistics")
+    print()
+    print("You can now:")
+    print("1. Run tests: poetry run test")
+    print("2. Start the backend: poetry run serve")
+    print("3. View data in the database")
+    print()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/autogpt_platform/backend/run_tests.py b/autogpt_platform/backend/run_tests.py
index b2343b2082ca..e6aa189d50f6 100644
--- a/autogpt_platform/backend/run_tests.py
+++ b/autogpt_platform/backend/run_tests.py
@@ -1,3 +1,4 @@
+import os
 import subprocess
 import sys
 import time
@@ -12,8 +13,10 @@ def wait_for_postgres(max_retries=5, delay=5):
                     "compose",
                     "-f",
                     "docker-compose.test.yaml",
+                    "--env-file",
+                    "../.env",
                     "exec",
-                    "postgres-test",
+                    "db",
                     "pg_isready",
                     "-U",
                     "postgres",
@@ -50,9 +53,10 @@ def test():
             "compose",
             "-f",
             "docker-compose.test.yaml",
+            "--env-file",
+            "../.env",
             "up",
             "-d",
-            "postgres-test",
         ]
     )
 
@@ -60,11 +64,61 @@ def test():
         run_command(["docker", "compose", "-f", "docker-compose.test.yaml", "down"])
         sys.exit(1)
 
-    # Run Prisma migrations
-    run_command(["prisma", "migrate", "dev"])
+    # IMPORTANT: Set test database environment variables to prevent accidentally
+    # resetting the developer's local database.
+    #
+    # This script spins up a separate test database container (postgres-test) using
+    # docker-compose.test.yaml. We explicitly set DATABASE_URL and DIRECT_URL to point
+    # to this test database to ensure that:
+    # 1. The prisma migrate reset command only affects the test database
+    # 2. Tests run against the test database, not the developer's local database
+    # 3. Any database operations during testing are isolated from development data
+    #
+    # Without this, if a developer has DATABASE_URL set in their environment pointing
+    # to their development database, running tests would wipe their local data!
+    test_env = os.environ.copy()
 
-    # Run the tests
-    result = subprocess.run(["pytest"] + sys.argv[1:], check=False)
+    # Load database configuration from .env file
+    dotenv_path = os.path.join(os.path.dirname(__file__), "../.env")
+    if os.path.exists(dotenv_path):
+        with open(dotenv_path) as f:
+            for line in f:
+                if line.strip() and not line.startswith("#"):
+                    key, value = line.strip().split("=", 1)
+                    os.environ[key] = value
+
+    # Get database config from environment (now populated from .env)
+    db_user = os.getenv("POSTGRES_USER", "postgres")
+    db_pass = os.getenv("POSTGRES_PASSWORD", "postgres")
+    db_name = os.getenv("POSTGRES_DB", "postgres")
+    db_port = os.getenv("POSTGRES_PORT", "5432")
+
+    # Construct the test database URL - this ensures we're always pointing to the test container
+    test_env["DATABASE_URL"] = (
+        f"postgresql://{db_user}:{db_pass}@localhost:{db_port}/{db_name}"
+    )
+    test_env["DIRECT_URL"] = test_env["DATABASE_URL"]
+
+    test_env["DB_PORT"] = db_port
+    test_env["DB_NAME"] = db_name
+    test_env["DB_PASS"] = db_pass
+    test_env["DB_USER"] = db_user
+
+    # Run Prisma migrations with test database
+    # First, reset the database to ensure clean state for tests
+    # This is safe because we've explicitly set DATABASE_URL to the test database above
+    subprocess.run(
+        ["prisma", "migrate", "reset", "--force", "--skip-seed"],
+        env=test_env,
+        check=False,
+    )
+    # Then apply migrations to get the test database schema up to date
+    subprocess.run(["prisma", "migrate", "deploy"], env=test_env, check=True)
+
+    # Run the tests with test database environment
+    # This ensures all database connections in the tests use the test database,
+    # not any database that might be configured in the developer's environment
+    result = subprocess.run(["pytest"] + sys.argv[1:], env=test_env, check=False)
 
     run_command(["docker", "compose", "-f", "docker-compose.test.yaml", "down"])
 
diff --git a/autogpt_platform/backend/schema.prisma b/autogpt_platform/backend/schema.prisma
index 7cd0ed36f4b5..13c3d2c52982 100644
--- a/autogpt_platform/backend/schema.prisma
+++ b/autogpt_platform/backend/schema.prisma
@@ -1,12 +1,12 @@
-// THIS FILE IS AUTO-GENERATED, RUN `poetry run schema` TO UPDATE
 datasource db {
-  provider = "postgresql"
-  url      = env("DATABASE_URL")
+  provider  = "postgresql"
+  url       = env("DATABASE_URL")
+  directUrl = env("DIRECT_URL")
 }
 
 generator client {
   provider             = "prisma-client-py"
-  recursive_type_depth = 5
+  recursive_type_depth = -1
   interface            = "asyncio"
   previewFeatures      = ["views"]
 }
@@ -15,32 +15,90 @@ generator client {
 model User {
   id               String   @id // This should match the Supabase user ID
   email            String   @unique
+  emailVerified    Boolean  @default(true)
   name             String?
   createdAt        DateTime @default(now())
   updatedAt        DateTime @updatedAt
   metadata         Json     @default("{}")
   integrations     String   @default("")
   stripeCustomerId String?
+  topUpConfig      Json?
+
+  maxEmailsPerDay              Int     @default(3)
+  notifyOnAgentRun             Boolean @default(true)
+  notifyOnZeroBalance          Boolean @default(true)
+  notifyOnLowBalance           Boolean @default(true)
+  notifyOnBlockExecutionFailed Boolean @default(true)
+  notifyOnContinuousAgentError Boolean @default(true)
+  notifyOnDailySummary         Boolean @default(true)
+  notifyOnWeeklySummary        Boolean @default(true)
+  notifyOnMonthlySummary       Boolean @default(true)
+  notifyOnAgentApproved        Boolean @default(true)
+  notifyOnAgentRejected        Boolean @default(true)
+
+  timezone                     String  @default("not-set")
 
   // Relations
+
   AgentGraphs          AgentGraph[]
   AgentGraphExecutions AgentGraphExecution[]
   AnalyticsDetails     AnalyticsDetails[]
   AnalyticsMetrics     AnalyticsMetrics[]
-  CreditTransaction    CreditTransaction[]
+  CreditTransactions   CreditTransaction[]
+
+  AgentPresets  AgentPreset[]
+  LibraryAgents LibraryAgent[]
+
+  Profile               Profile[]
+  UserOnboarding        UserOnboarding?
+  StoreListings         StoreListing[]
+  StoreListingReviews   StoreListingReview[]
+  StoreVersionsReviewed StoreListingVersion[]
+  APIKeys               APIKey[]
+  IntegrationWebhooks   IntegrationWebhook[]
+  NotificationBatches   UserNotificationBatch[]
+}
 
-  AgentPreset AgentPreset[]
-  UserAgent   UserAgent[]
+enum OnboardingStep {
+  // Introductory onboarding (Library)
+  WELCOME
+  USAGE_REASON
+  INTEGRATIONS
+  AGENT_CHOICE
+  AGENT_NEW_RUN
+  AGENT_INPUT
+  CONGRATS
+  GET_RESULTS
+  RUN_AGENTS
+  // Marketplace
+  MARKETPLACE_VISIT
+  MARKETPLACE_ADD_AGENT
+  MARKETPLACE_RUN_AGENT
+  // Builder
+  BUILDER_OPEN
+  BUILDER_SAVE_AGENT
+  BUILDER_RUN_AGENT
+}
 
-  Profile                     Profile[]
-  StoreListing                StoreListing[]
-  StoreListingReview          StoreListingReview[]
-  StoreListingSubmission      StoreListingSubmission[]
-  APIKeys                     APIKey[]
-  IntegrationWebhooks         IntegrationWebhook[]
+model UserOnboarding {
+  id        String    @id @default(uuid())
+  createdAt DateTime  @default(now())
+  updatedAt DateTime? @updatedAt
 
-  @@index([id])
-  @@index([email])
+  completedSteps                OnboardingStep[] @default([])
+  notificationDot               Boolean          @default(true)
+  notified                      OnboardingStep[] @default([])
+  rewardedFor                   OnboardingStep[] @default([])
+  usageReason                   String?
+  integrations                  String[]         @default([])
+  otherIntegrations             String?
+  selectedStoreListingVersionId String?
+  agentInput                    Json?
+  onboardingAgentExecutionId    String?
+  agentRuns                     Int              @default(0)
+
+  userId String @unique
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 }
 
 // This model describes the Agent Graph/Flow (Multi Agent System).
@@ -52,35 +110,41 @@ model AgentGraph {
 
   name        String?
   description String?
-  isActive    Boolean @default(true)
-  isTemplate  Boolean @default(false)
+
+  isActive Boolean @default(true)
 
   // Link to User model
   userId String
   // FIX: Do not cascade delete the agent when the user is deleted
   // This allows us to delete user data with deleting the agent which maybe in use by other users
-  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
-  AgentNodes          AgentNode[]
-  AgentGraphExecution AgentGraphExecution[]
+  forkedFromId      String?
+  forkedFromVersion Int?
+  forkedFrom        AgentGraph?  @relation("AgentGraphForks", fields: [forkedFromId, forkedFromVersion], references: [id, version])
+  forks             AgentGraph[] @relation("AgentGraphForks")
 
-  AgentPreset                 AgentPreset[]
-  UserAgent                   UserAgent[]
-  StoreListing                StoreListing[]
-  StoreListingVersion         StoreListingVersion?
+  Nodes      AgentNode[]
+  Executions AgentGraphExecution[]
+
+  Presets              AgentPreset[]
+  LibraryAgents        LibraryAgent[]
+  StoreListings        StoreListing[]
+  StoreListingVersions StoreListingVersion[]
 
   @@id(name: "graphVersionId", [id, version])
   @@index([userId, isActive])
+  @@index([forkedFromId, forkedFromVersion])
 }
 
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 ////////////////   USER SPECIFIC DATA   ////////////////////
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 
 // An AgentPrest is an Agent + User Configuration of that agent.
-// For example, if someone has created a weather agent and they want to set it up to 
+// For example, if someone has created a weather agent and they want to set it up to
 // Inform them of extreme weather warnings in Texas, the agent with the configuration to set it to
 // monitor texas, along with the cron setup or webhook tiggers, is an AgentPreset
 model AgentPreset {
@@ -98,20 +162,72 @@ model AgentPreset {
   userId String
   User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
-  agentId      String
-  agentVersion Int
-  Agent        AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version], onDelete: Cascade)
+  agentGraphId      String
+  agentGraphVersion Int
+  AgentGraph        AgentGraph @relation(fields: [agentGraphId, agentGraphVersion], references: [id, version], onDelete: Restrict)
+
+  InputPresets AgentNodeExecutionInputOutput[] @relation("AgentPresetsInputData")
+  Executions   AgentGraphExecution[]
+
+  // For webhook-triggered agents: reference to the webhook that triggers the agent
+  webhookId String?
+  Webhook   IntegrationWebhook? @relation(fields: [webhookId], references: [id])
 
-  InputPresets           AgentNodeExecutionInputOutput[] @relation("AgentPresetsInputData")
-  UserAgents             UserAgent[]
-  AgentExecution         AgentGraphExecution[]
+  isDeleted Boolean @default(false)
 
   @@index([userId])
+  @@index([agentGraphId, agentGraphVersion])
+  @@index([webhookId])
+}
+
+enum NotificationType {
+  AGENT_RUN
+  ZERO_BALANCE
+  LOW_BALANCE
+  BLOCK_EXECUTION_FAILED
+  CONTINUOUS_AGENT_ERROR
+  DAILY_SUMMARY
+  WEEKLY_SUMMARY
+  MONTHLY_SUMMARY
+  REFUND_REQUEST
+  REFUND_PROCESSED
+  AGENT_APPROVED
+  AGENT_REJECTED
+}
+
+model NotificationEvent {
+  id        String   @id @default(uuid())
+  createdAt DateTime @default(now())
+  updatedAt DateTime @default(now()) @updatedAt
+
+  UserNotificationBatch   UserNotificationBatch? @relation(fields: [userNotificationBatchId], references: [id])
+  userNotificationBatchId String?
+
+  type NotificationType
+  data Json
+
+  @@index([userNotificationBatchId])
+}
+
+model UserNotificationBatch {
+  id        String   @id @default(uuid())
+  createdAt DateTime @default(now())
+  updatedAt DateTime @default(now()) @updatedAt
+
+  userId String
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
+
+  type NotificationType
+
+  Notifications NotificationEvent[]
+
+  // Each user can only have one batch of a notification type at a time
+  @@unique([userId, type])
 }
 
 // For the library page
-// It is a user controlled list of agents, that they will see in there library
-model UserAgent {
+// It is a user controlled list of agents, that they will see in their library
+model LibraryAgent {
   id        String   @id @default(uuid())
   createdAt DateTime @default(now())
   updatedAt DateTime @default(now()) @updatedAt
@@ -119,26 +235,32 @@ model UserAgent {
   userId String
   User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
-  agentId      String
-  agentVersion Int
-  Agent        AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version])
+  imageUrl String?
 
-  agentPresetId String?
-  AgentPreset   AgentPreset? @relation(fields: [agentPresetId], references: [id])
+  agentGraphId      String
+  agentGraphVersion Int
+  AgentGraph        AgentGraph @relation(fields: [agentGraphId, agentGraphVersion], references: [id, version], onDelete: Restrict)
+
+  creatorId String?
+  Creator   Profile? @relation(fields: [creatorId], references: [id])
+
+  useGraphIsActiveVersion Boolean @default(false)
 
   isFavorite      Boolean @default(false)
   isCreatedByUser Boolean @default(false)
   isArchived      Boolean @default(false)
   isDeleted       Boolean @default(false)
 
-  @@index([userId])
+  @@unique([userId, agentGraphId, agentGraphVersion])
+  @@index([agentGraphId, agentGraphVersion])
+  @@index([creatorId])
 }
 
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 ////////   AGENT DEFINITION AND EXECUTION TABLES    ////////
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 
 // This model describes a single node in the Agent Graph/Flow (Multi Agent System).
 model AgentNode {
@@ -157,17 +279,15 @@ model AgentNode {
   // List of produced output, that the child node should be executed.
   Output AgentNodeLink[] @relation("AgentNodeSource")
 
-  // JSON serialized dict[str, str] containing predefined input values.
-  constantInput String @default("{}")
+  constantInput Json @default("{}")
 
   // For webhook-triggered blocks: reference to the webhook that triggers the node
   webhookId String?
   Webhook   IntegrationWebhook? @relation(fields: [webhookId], references: [id])
 
-  // JSON serialized dict[str, str] containing the node metadata.
-  metadata String @default("{}")
+  metadata Json @default("{}")
 
-  ExecutionHistory AgentNodeExecution[]
+  Executions AgentNodeExecution[]
 
   @@index([agentGraphId, agentGraphVersion])
   @@index([agentBlockId])
@@ -207,7 +327,6 @@ model AgentBlock {
 
   // Prisma requires explicit back-references.
   ReferencedByAgentNode AgentNode[]
-  CreditTransaction     CreditTransaction[]
 }
 
 // This model describes the status of an AgentGraphExecution or AgentNodeExecution.
@@ -216,6 +335,7 @@ enum AgentExecutionStatus {
   QUEUED
   RUNNING
   COMPLETED
+  TERMINATED
   FAILED
 }
 
@@ -226,24 +346,28 @@ model AgentGraphExecution {
   updatedAt DateTime? @updatedAt
   startedAt DateTime?
 
+  isDeleted Boolean @default(false)
+
   executionStatus AgentExecutionStatus @default(COMPLETED)
 
   agentGraphId      String
   agentGraphVersion Int        @default(1)
   AgentGraph        AgentGraph @relation(fields: [agentGraphId, agentGraphVersion], references: [id, version], onDelete: Cascade)
 
-  AgentNodeExecutions AgentNodeExecution[]
+  NodeExecutions AgentNodeExecution[]
 
-  // Link to User model
+  // Link to User model -- Executed by this user
   userId String
-  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
-  stats         String? // JSON serialized object
-  AgentPreset   AgentPreset? @relation(fields: [agentPresetId], references: [id])
+  stats         Json?
   agentPresetId String?
+  AgentPreset   AgentPreset? @relation(fields: [agentPresetId], references: [id])
 
   @@index([agentGraphId, agentGraphVersion])
   @@index([userId])
+  @@index([createdAt])
+  @@index([agentPresetId])
 }
 
 // This model describes the execution of an AgentNode.
@@ -251,26 +375,26 @@ model AgentNodeExecution {
   id String @id @default(uuid())
 
   agentGraphExecutionId String
-  AgentGraphExecution   AgentGraphExecution @relation(fields: [agentGraphExecutionId], references: [id], onDelete: Cascade)
+  GraphExecution        AgentGraphExecution @relation(fields: [agentGraphExecutionId], references: [id], onDelete: Cascade)
 
   agentNodeId String
-  AgentNode   AgentNode @relation(fields: [agentNodeId], references: [id], onDelete: Cascade)
+  Node        AgentNode @relation(fields: [agentNodeId], references: [id], onDelete: Cascade)
 
   Input  AgentNodeExecutionInputOutput[] @relation("AgentNodeExecutionInput")
   Output AgentNodeExecutionInputOutput[] @relation("AgentNodeExecutionOutput")
 
   executionStatus AgentExecutionStatus @default(COMPLETED)
-  // Final JSON serialized input data for the node execution.
-  executionData   String?
+  executionData   Json?
   addedTime       DateTime             @default(now())
   queuedTime      DateTime?
   startedTime     DateTime?
   endedTime       DateTime?
 
-  stats String? // JSON serialized object
+  stats Json?
 
-  @@index([agentGraphExecutionId])
-  @@index([agentNodeId])
+  @@index([agentGraphExecutionId, agentNodeId, executionStatus])
+  @@index([agentNodeId, executionStatus])
+  @@index([addedTime, queuedTime])
 }
 
 // This model describes the output of an AgentNodeExecution.
@@ -278,7 +402,7 @@ model AgentNodeExecutionInputOutput {
   id String @id @default(uuid())
 
   name String
-  data String
+  data Json?
   time DateTime @default(now())
 
   // Prisma requires explicit back-references.
@@ -293,6 +417,20 @@ model AgentNodeExecutionInputOutput {
   // Input and Output pin names are unique for each AgentNodeExecution.
   @@unique([referencedByInputExecId, referencedByOutputExecId, name])
   @@index([referencedByOutputExecId])
+  // Composite index for `upsert_execution_input`.
+  @@index([name, time])
+  @@index([agentPresetId])
+}
+
+model AgentNodeExecutionKeyValueData {
+  userId               String
+  key                  String
+  agentNodeExecutionId String
+  data                 Json?
+  createdAt            DateTime  @default(now())
+  updatedAt            DateTime? @updatedAt
+
+  @@id([userId, key])
 }
 
 // Webhook that is registered with a provider and propagates to one or more nodes
@@ -302,7 +440,7 @@ model IntegrationWebhook {
   updatedAt DateTime? @updatedAt
 
   userId String
-  user   User   @relation(fields: [userId], references: [id], onDelete: Restrict) // Webhooks must be deregistered before deleting
+  User   User   @relation(fields: [userId], references: [id], onDelete: Restrict) // Webhooks must be deregistered before deleting
 
   provider      String // e.g. 'github'
   credentialsId String // relation to the credentials that the webhook was created with
@@ -314,9 +452,8 @@ model IntegrationWebhook {
 
   providerWebhookId String // Webhook ID assigned by the provider
 
-  AgentNodes AgentNode[]
-
-  @@index([userId])
+  AgentNodes   AgentNode[]
+  AgentPresets AgentPreset[]
 }
 
 model AnalyticsDetails {
@@ -329,7 +466,7 @@ model AnalyticsDetails {
 
   // Link to User model
   userId String
-  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
   // Analytics Categorical data used for filtering (indexable w and w/o userId)
   type String
@@ -340,15 +477,14 @@ model AnalyticsDetails {
   // Indexable field for any count based analytical measures like page order clicking, tutorial step completion, etc.
   dataIndex String?
 
-  @@index([userId, type], name: "analyticsDetails")
-  @@index([type])
+  @@index([userId, type])
 }
 
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 //////////////   METRICS TRACKING TABLES    ////////////////
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 model AnalyticsMetrics {
   id        String   @id @default(uuid())
   createdAt DateTime @default(now())
@@ -364,34 +500,35 @@ model AnalyticsMetrics {
 
   // Link to User model
   userId String
-  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
-
-  @@index([userId])
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 }
 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
+////////   ACCOUNTING AND CREDIT SYSTEM TABLES    //////////
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
+
 enum CreditTransactionType {
   TOP_UP
   USAGE
+  GRANT
+  REFUND
+  CARD_CHECK
 }
 
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
-////////   ACCOUNTING AND CREDIT SYSTEM TABLES    //////////
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
 model CreditTransaction {
   transactionKey String   @default(uuid())
   createdAt      DateTime @default(now())
 
   userId String
-  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
-
-  blockId String?
-  block   AgentBlock? @relation(fields: [blockId], references: [id])
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
   amount Int
   type   CreditTransactionType
 
+  runningBalance Int?
+
   isActive Boolean @default(true)
   metadata Json?
 
@@ -399,11 +536,33 @@ model CreditTransaction {
   @@index([userId, createdAt])
 }
 
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+enum CreditRefundRequestStatus {
+  PENDING
+  APPROVED
+  REJECTED
+}
+
+model CreditRefundRequest {
+  id        String   @id @default(uuid())
+  createdAt DateTime @default(now())
+  updatedAt DateTime @updatedAt
+
+  userId         String
+  transactionKey String
+
+  amount Int
+  reason String
+  result String?
+  status CreditRefundRequestStatus @default(PENDING)
+
+  @@index([userId, transactionKey])
+}
+
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 //////////////   Store TABLES    ///////////////////////////
-//////////////////////////////////////////////////////////// 
-//////////////////////////////////////////////////////////// 
+////////////////////////////////////////////////////////////
+////////////////////////////////////////////////////////////
 
 model Profile {
   id        String   @id @default(uuid())
@@ -411,7 +570,7 @@ model Profile {
   updatedAt DateTime @default(now()) @updatedAt
 
   // Only 1 of user or group can be set.
-  // The user this profile belongs to, if any. 
+  // The user this profile belongs to, if any.
   userId String?
   User   User?   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
@@ -425,7 +584,8 @@ model Profile {
 
   isFeatured Boolean @default(false)
 
-  @@index([username])
+  LibraryAgents LibraryAgent[]
+
   @@index([userId])
 }
 
@@ -442,6 +602,16 @@ view Creator {
   agent_rating Float
   agent_runs   Int
   is_featured  Boolean
+
+  // Materialized views used (refreshed every 15 minutes via pg_cron):
+  // - mv_agent_run_counts - Pre-aggregated agent execution counts by agentGraphId
+  //   * idx_mv_agent_run_counts (UNIQUE on agentGraphId) - Primary lookup
+  // - mv_review_stats - Pre-aggregated review statistics (count, avg rating) by storeListingId
+  //   * idx_mv_review_stats (UNIQUE on storeListingId) - Primary lookup
+  //   * idx_mv_review_stats_rating (avg_rating DESC) - Sort by rating performance
+  //   * idx_mv_review_stats_count (review_count DESC) - Sort by review count performance
+  //
+  // Query strategy: Uses CTEs to efficiently aggregate creator statistics leveraging materialized views
 }
 
 view StoreAgent {
@@ -464,29 +634,68 @@ view StoreAgent {
   rating           Float
   versions         String[]
 
-  @@unique([creator_username, slug])
-  @@index([creator_username])
-  @@index([featured])
-  @@index([categories])
-  @@index([storeListingVersionId])
+  // Materialized views used (refreshed every 15 minutes via pg_cron):
+  // - mv_agent_run_counts - Pre-aggregated agent execution counts by agentGraphId
+  //   * idx_mv_agent_run_counts (UNIQUE on agentGraphId) - Primary lookup
+  // - mv_review_stats - Pre-aggregated review statistics (count, avg rating) by storeListingId
+  //   * idx_mv_review_stats (UNIQUE on storeListingId) - Primary lookup
+  //   * idx_mv_review_stats_rating (avg_rating DESC) - Sort by rating performance
+  //   * idx_mv_review_stats_count (review_count DESC) - Sort by review count performance
+  //
+  // Query strategy: Uses CTE for version aggregation and joins with materialized views for performance
 }
 
 view StoreSubmission {
-  listing_id     String           @id
-  user_id        String
-  slug           String
-  name           String
-  sub_heading    String
-  description    String
-  image_urls     String[]
-  date_submitted DateTime
-  status         SubmissionStatus
-  runs           Int
-  rating         Float
-  agent_id       String
-  agent_version  Int
-
-  @@index([user_id])
+  listing_id               String           @id
+  user_id                  String
+  slug                     String
+  name                     String
+  sub_heading              String
+  description              String
+  image_urls               String[]
+  date_submitted           DateTime
+  status                   SubmissionStatus
+  runs                     Int
+  rating                   Float
+  agent_id                 String
+  agent_version            Int
+  store_listing_version_id String
+  reviewer_id              String?
+  review_comments          String?
+  internal_comments        String?
+  reviewed_at              DateTime?
+  changes_summary          String?
+  video_url                String?
+  categories               String[]
+
+  // Index or unique are not applied to views
+}
+
+// Note: This is actually a MATERIALIZED VIEW in the database
+// Refreshed automatically every 15 minutes via pg_cron (with fallback to manual refresh)
+view mv_agent_run_counts {
+  agentGraphId String @unique
+  run_count    Int
+
+  // Pre-aggregated count of AgentGraphExecution records by agentGraphId
+  // Used by StoreAgent and Creator views for performance optimization
+  // Unique index created automatically on agentGraphId for fast lookups
+  // Refresh uses CONCURRENTLY to avoid blocking reads
+}
+
+// Note: This is actually a MATERIALIZED VIEW in the database
+// Refreshed automatically every 15 minutes via pg_cron (with fallback to manual refresh)
+view mv_review_stats {
+  storeListingId String @unique
+  review_count   Int
+  avg_rating     Float
+
+  // Pre-aggregated review statistics from StoreListingReview
+  // Includes count of reviews and average rating per StoreListing
+  // Only includes approved versions (submissionStatus = 'APPROVED') and non-deleted listings
+  // Used by StoreAgent view for performance optimization
+  // Unique index created automatically on storeListingId for fast lookups
+  // Refresh uses CONCURRENTLY to avoid blocking reads
 }
 
 model StoreListing {
@@ -494,24 +703,34 @@ model StoreListing {
   createdAt DateTime @default(now())
   updatedAt DateTime @default(now()) @updatedAt
 
-  isDeleted  Boolean @default(false)
-  // Not needed but makes lookups faster
-  isApproved Boolean @default(false)
+  isDeleted          Boolean @default(false)
+  // Whether any version has been approved and is available for display
+  hasApprovedVersion Boolean @default(false)
+
+  // URL-friendly identifier for this agent (moved from StoreListingVersion)
+  slug String
 
-  // The agent link here is only so we can do lookup on agentId, for the listing the StoreListingVersion is used.
-  agentId      String
-  agentVersion Int
-  Agent        AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version], onDelete: Cascade)
+  // The currently active version that should be shown to users
+  activeVersionId String?              @unique
+  ActiveVersion   StoreListingVersion? @relation("ActiveVersion", fields: [activeVersionId], references: [id])
+
+  // The agent link here is only so we can do lookup on agentId
+  agentGraphId      String
+  agentGraphVersion Int
+  AgentGraph        AgentGraph @relation(fields: [agentGraphId, agentGraphVersion], references: [id, version], onDelete: Cascade)
 
   owningUserId String
   OwningUser   User   @relation(fields: [owningUserId], references: [id])
 
-  StoreListingVersions   StoreListingVersion[]
-  StoreListingSubmission StoreListingSubmission[]
+  // Relations
+  Versions StoreListingVersion[] @relation("ListingVersions")
 
-  @@index([isApproved])
-  @@index([agentId])
-  @@index([owningUserId])
+  // Unique index on agentId to ensure only one listing per agent, regardless of number of versions the agent has.
+  @@unique([agentGraphId])
+  @@unique([owningUserId, slug])
+  // Used in the view query
+  @@index([isDeleted, hasApprovedVersion])
+  @@index([agentGraphId, agentGraphVersion])
 }
 
 model StoreListingVersion {
@@ -521,14 +740,11 @@ model StoreListingVersion {
   updatedAt DateTime @default(now()) @updatedAt
 
   // The agent and version to be listed on the store
-  agentId      String
-  agentVersion Int
-  Agent        AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version])
+  agentGraphId      String
+  agentGraphVersion Int
+  AgentGraph        AgentGraph @relation(fields: [agentGraphId, agentGraphVersion], references: [id, version])
 
-  // The detials for this version of the agent, this allows the author to update the details of the agent,
-  // But still allow using old versions of the agent with there original details.
-  // TODO: Create a database view that shows only the latest version of each store listing.
-  slug        String
+  // Content fields
   name        String
   subHeading  String
   videoUrl    String?
@@ -538,21 +754,39 @@ model StoreListingVersion {
 
   isFeatured Boolean @default(false)
 
-  isDeleted              Boolean                  @default(false)
+  isDeleted   Boolean @default(false)
   // Old versions can be made unavailable by the author if desired
-  isAvailable            Boolean                  @default(true)
-  // Not needed but makes lookups faster
-  isApproved             Boolean                  @default(false)
-  StoreListing           StoreListing?            @relation(fields: [storeListingId], references: [id], onDelete: Cascade)
-  storeListingId         String?
-  StoreListingSubmission StoreListingSubmission[]
+  isAvailable Boolean @default(true)
+
+  // Version workflow state
+  submissionStatus SubmissionStatus @default(DRAFT)
+  submittedAt      DateTime?
+
+  // Relations
+  storeListingId String
+  StoreListing   StoreListing @relation("ListingVersions", fields: [storeListingId], references: [id], onDelete: Cascade)
 
-  // Reviews are on a specific version, but then aggregated up to the listing.
-  // This allows us to provide a review filter to current version of the agent.
-  StoreListingReview StoreListingReview[]
+  // This version might be the active version for a listing
+  ActiveFor StoreListing? @relation("ActiveVersion")
 
-  @@unique([agentId, agentVersion])
-  @@index([agentId, agentVersion, isApproved])
+  // Submission history
+  changesSummary String?
+
+  // Review information
+  reviewerId       String?
+  Reviewer         User?     @relation(fields: [reviewerId], references: [id])
+  internalComments String? // Private notes for admin use only
+  reviewComments   String? // Comments visible to creator
+  reviewedAt       DateTime?
+
+  // Reviews for this specific version
+  Reviews StoreListingReview[]
+
+  @@unique([storeListingId, version])
+  @@index([storeListingId, submissionStatus, isAvailable])
+  @@index([submissionStatus])
+  @@index([reviewerId])
+  @@index([agentGraphId, agentGraphVersion]) // Non-unique index for efficient lookups
 }
 
 model StoreListingReview {
@@ -570,35 +804,14 @@ model StoreListingReview {
   comments String?
 
   @@unique([storeListingVersionId, reviewByUserId])
-  @@index([storeListingVersionId])
+  @@index([reviewByUserId])
 }
 
 enum SubmissionStatus {
-  DAFT
-  PENDING
-  APPROVED
-  REJECTED
-}
-
-model StoreListingSubmission {
-  id        String   @id @default(uuid())
-  createdAt DateTime @default(now())
-  updatedAt DateTime @default(now()) @updatedAt
-
-  storeListingId String
-  StoreListing   StoreListing @relation(fields: [storeListingId], references: [id], onDelete: Cascade)
-
-  storeListingVersionId String
-  StoreListingVersion   StoreListingVersion @relation(fields: [storeListingVersionId], references: [id], onDelete: Cascade)
-
-  reviewerId String
-  Reviewer   User   @relation(fields: [reviewerId], references: [id])
-
-  Status         SubmissionStatus @default(PENDING)
-  reviewComments String?
-
-  @@index([storeListingId])
-  @@index([Status])
+  DRAFT // Being prepared, not yet submitted
+  PENDING // Submitted, awaiting review
+  APPROVED // Reviewed and approved
+  REJECTED // Reviewed and rejected
 }
 
 enum APIKeyPermission {
@@ -625,12 +838,9 @@ model APIKey {
 
   // Relation to user
   userId String
-  user   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
+  User   User   @relation(fields: [userId], references: [id], onDelete: Cascade)
 
-  @@index([key])
-  @@index([prefix])
-  @@index([userId])
-  @@index([status])
+  @@index([prefix, name])
   @@index([userId, status])
 }
 
@@ -638,4 +848,4 @@ enum APIKeyStatus {
   ACTIVE
   REVOKED
   SUSPENDED
-}
\ No newline at end of file
+}
diff --git a/autogpt_platform/backend/snapshots/adm_add_cred_neg b/autogpt_platform/backend/snapshots/adm_add_cred_neg
new file mode 100644
index 000000000000..a0b0fe279579
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/adm_add_cred_neg
@@ -0,0 +1,4 @@
+{
+  "new_balance": 200,
+  "transaction_key": "transaction-456-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/adm_add_cred_ok b/autogpt_platform/backend/snapshots/adm_add_cred_ok
new file mode 100644
index 000000000000..7b5c4aa29bb4
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/adm_add_cred_ok
@@ -0,0 +1,4 @@
+{
+  "new_balance": 1500,
+  "transaction_key": "transaction-123-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/adm_usr_hist_empty b/autogpt_platform/backend/snapshots/adm_usr_hist_empty
new file mode 100644
index 000000000000..4e9b333c37cb
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/adm_usr_hist_empty
@@ -0,0 +1,9 @@
+{
+  "history": [],
+  "pagination": {
+    "current_page": 1,
+    "page_size": 20,
+    "total_items": 0,
+    "total_pages": 0
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/adm_usr_hist_filt b/autogpt_platform/backend/snapshots/adm_usr_hist_filt
new file mode 100644
index 000000000000..aa5810250b06
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/adm_usr_hist_filt
@@ -0,0 +1,28 @@
+{
+  "history": [
+    {
+      "admin_email": null,
+      "amount": 500,
+      "current_balance": 0,
+      "description": null,
+      "extra_data": null,
+      "reason": "Top up",
+      "running_balance": 0,
+      "transaction_key": "",
+      "transaction_time": "0001-01-01T00:00:00Z",
+      "transaction_type": "TOP_UP",
+      "usage_execution_id": null,
+      "usage_graph_id": null,
+      "usage_node_count": 0,
+      "usage_start_time": "9999-12-31T23:59:59.999999Z",
+      "user_email": "test@example.com",
+      "user_id": "user-3"
+    }
+  ],
+  "pagination": {
+    "current_page": 1,
+    "page_size": 10,
+    "total_items": 1,
+    "total_pages": 1
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/adm_usr_hist_ok b/autogpt_platform/backend/snapshots/adm_usr_hist_ok
new file mode 100644
index 000000000000..7cc4d3634dd8
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/adm_usr_hist_ok
@@ -0,0 +1,46 @@
+{
+  "history": [
+    {
+      "admin_email": null,
+      "amount": 1000,
+      "current_balance": 0,
+      "description": null,
+      "extra_data": null,
+      "reason": "Initial grant",
+      "running_balance": 0,
+      "transaction_key": "",
+      "transaction_time": "0001-01-01T00:00:00Z",
+      "transaction_type": "GRANT",
+      "usage_execution_id": null,
+      "usage_graph_id": null,
+      "usage_node_count": 0,
+      "usage_start_time": "9999-12-31T23:59:59.999999Z",
+      "user_email": "user1@example.com",
+      "user_id": "user-1"
+    },
+    {
+      "admin_email": null,
+      "amount": -50,
+      "current_balance": 0,
+      "description": null,
+      "extra_data": null,
+      "reason": "Usage",
+      "running_balance": 0,
+      "transaction_key": "",
+      "transaction_time": "0001-01-01T00:00:00Z",
+      "transaction_type": "USAGE",
+      "usage_execution_id": null,
+      "usage_graph_id": null,
+      "usage_node_count": 0,
+      "usage_start_time": "9999-12-31T23:59:59.999999Z",
+      "user_email": "user2@example.com",
+      "user_id": "user-2"
+    }
+  ],
+  "pagination": {
+    "current_page": 1,
+    "page_size": 20,
+    "total_items": 2,
+    "total_pages": 1
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/admin_add_credits_success b/autogpt_platform/backend/snapshots/admin_add_credits_success
new file mode 100644
index 000000000000..7b5c4aa29bb4
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/admin_add_credits_success
@@ -0,0 +1,4 @@
+{
+  "new_balance": 1500,
+  "transaction_key": "transaction-123-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/agt_details b/autogpt_platform/backend/snapshots/agt_details
new file mode 100644
index 000000000000..f002d08775ad
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/agt_details
@@ -0,0 +1,27 @@
+{
+  "store_listing_version_id": "test-version-id",
+  "slug": "test-agent",
+  "agent_name": "Test Agent",
+  "agent_video": "video.mp4",
+  "agent_image": [
+    "image1.jpg",
+    "image2.jpg"
+  ],
+  "creator": "creator1",
+  "creator_avatar": "avatar1.jpg",
+  "sub_heading": "Test agent subheading",
+  "description": "Test agent description",
+  "categories": [
+    "category1",
+    "category2"
+  ],
+  "runs": 100,
+  "rating": 4.5,
+  "versions": [
+    "1.0.0",
+    "1.1.0"
+  ],
+  "last_updated": "2023-01-01T00:00:00",
+  "active_version_id": null,
+  "has_approved_version": false
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/agts_by_creator b/autogpt_platform/backend/snapshots/agts_by_creator
new file mode 100644
index 000000000000..4d6dd1292032
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/agts_by_creator
@@ -0,0 +1,21 @@
+{
+  "agents": [
+    {
+      "slug": "creator-agent",
+      "agent_name": "Creator Agent",
+      "agent_image": "agent.jpg",
+      "creator": "specific-creator",
+      "creator_avatar": "avatar.jpg",
+      "sub_heading": "Creator agent subheading",
+      "description": "Creator agent description",
+      "runs": 50,
+      "rating": 4.0
+    }
+  ],
+  "pagination": {
+    "total_items": 1,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 20
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/agts_category b/autogpt_platform/backend/snapshots/agts_category
new file mode 100644
index 000000000000..f65925ead343
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/agts_category
@@ -0,0 +1,21 @@
+{
+  "agents": [
+    {
+      "slug": "category-agent",
+      "agent_name": "Category Agent",
+      "agent_image": "category.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Category agent subheading",
+      "description": "Category agent description",
+      "runs": 60,
+      "rating": 4.1
+    }
+  ],
+  "pagination": {
+    "total_items": 1,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 20
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/agts_pagination b/autogpt_platform/backend/snapshots/agts_pagination
new file mode 100644
index 000000000000..82e7f5f9bf8a
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/agts_pagination
@@ -0,0 +1,65 @@
+{
+  "agents": [
+    {
+      "slug": "agent-0",
+      "agent_name": "Agent 0",
+      "agent_image": "agent0.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Agent 0 subheading",
+      "description": "Agent 0 description",
+      "runs": 0,
+      "rating": 4.0
+    },
+    {
+      "slug": "agent-1",
+      "agent_name": "Agent 1",
+      "agent_image": "agent1.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Agent 1 subheading",
+      "description": "Agent 1 description",
+      "runs": 10,
+      "rating": 4.0
+    },
+    {
+      "slug": "agent-2",
+      "agent_name": "Agent 2",
+      "agent_image": "agent2.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Agent 2 subheading",
+      "description": "Agent 2 description",
+      "runs": 20,
+      "rating": 4.0
+    },
+    {
+      "slug": "agent-3",
+      "agent_name": "Agent 3",
+      "agent_image": "agent3.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Agent 3 subheading",
+      "description": "Agent 3 description",
+      "runs": 30,
+      "rating": 4.0
+    },
+    {
+      "slug": "agent-4",
+      "agent_name": "Agent 4",
+      "agent_image": "agent4.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Agent 4 subheading",
+      "description": "Agent 4 description",
+      "runs": 40,
+      "rating": 4.0
+    }
+  ],
+  "pagination": {
+    "total_items": 15,
+    "total_pages": 3,
+    "current_page": 2,
+    "page_size": 5
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/agts_search b/autogpt_platform/backend/snapshots/agts_search
new file mode 100644
index 000000000000..ca3f50458405
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/agts_search
@@ -0,0 +1,21 @@
+{
+  "agents": [
+    {
+      "slug": "search-agent",
+      "agent_name": "Search Agent",
+      "agent_image": "search.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Search agent subheading",
+      "description": "Specific search term description",
+      "runs": 75,
+      "rating": 4.2
+    }
+  ],
+  "pagination": {
+    "total_items": 1,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 20
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/agts_sorted b/autogpt_platform/backend/snapshots/agts_sorted
new file mode 100644
index 000000000000..cddead76a57a
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/agts_sorted
@@ -0,0 +1,21 @@
+{
+  "agents": [
+    {
+      "slug": "top-agent",
+      "agent_name": "Top Agent",
+      "agent_image": "top.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Top agent subheading",
+      "description": "Top agent description",
+      "runs": 1000,
+      "rating": 5.0
+    }
+  ],
+  "pagination": {
+    "total_items": 1,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 20
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_log_analytics_complex_data b/autogpt_platform/backend/snapshots/analytics_log_analytics_complex_data
new file mode 100644
index 000000000000..4d671672a7fa
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_log_analytics_complex_data
@@ -0,0 +1,30 @@
+{
+  "analytics_id": "analytics-complex-uuid",
+  "logged_data": {
+    "agent_id": "agent_123",
+    "blocks_used": [
+      {
+        "block_id": "llm_block",
+        "count": 3
+      },
+      {
+        "block_id": "http_block",
+        "count": 5
+      },
+      {
+        "block_id": "code_block",
+        "count": 2
+      }
+    ],
+    "duration_ms": 3500,
+    "errors": [],
+    "execution_id": "exec_456",
+    "metadata": {
+      "environment": "production",
+      "trigger": "manual",
+      "user_tier": "premium"
+    },
+    "nodes_executed": 15,
+    "status": "completed"
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_log_analytics_success b/autogpt_platform/backend/snapshots/analytics_log_analytics_success
new file mode 100644
index 000000000000..a08eb0c89ca9
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_log_analytics_success
@@ -0,0 +1,3 @@
+{
+  "analytics_id": "analytics-789-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_log_metric_success b/autogpt_platform/backend/snapshots/analytics_log_metric_success
new file mode 100644
index 000000000000..a08f406588d8
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_log_metric_success
@@ -0,0 +1,3 @@
+{
+  "metric_id": "metric-123-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_log_metric_success_improved b/autogpt_platform/backend/snapshots/analytics_log_metric_success_improved
new file mode 100644
index 000000000000..a08f406588d8
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_log_metric_success_improved
@@ -0,0 +1,3 @@
+{
+  "metric_id": "metric-123-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_log_metric_various_values b/autogpt_platform/backend/snapshots/analytics_log_metric_various_values
new file mode 100644
index 000000000000..6edf88cecc5e
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_log_metric_various_values
@@ -0,0 +1,3 @@
+{
+  "metric_id": "metric-456-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_metric_float_precision b/autogpt_platform/backend/snapshots/analytics_metric_float_precision
new file mode 100644
index 000000000000..8d3319fb8c89
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_metric_float_precision
@@ -0,0 +1,4 @@
+{
+  "metric_id": "metric-float_precision-uuid",
+  "test_case": "float_precision"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_metric_integer_value b/autogpt_platform/backend/snapshots/analytics_metric_integer_value
new file mode 100644
index 000000000000..113a602abfbe
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_metric_integer_value
@@ -0,0 +1,4 @@
+{
+  "metric_id": "metric-integer_value-uuid",
+  "test_case": "integer_value"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_metric_large_number b/autogpt_platform/backend/snapshots/analytics_metric_large_number
new file mode 100644
index 000000000000..8ad9f60a6652
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_metric_large_number
@@ -0,0 +1,4 @@
+{
+  "metric_id": "metric-large_number-uuid",
+  "test_case": "large_number"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_metric_negative_value b/autogpt_platform/backend/snapshots/analytics_metric_negative_value
new file mode 100644
index 000000000000..427967ee0474
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_metric_negative_value
@@ -0,0 +1,4 @@
+{
+  "metric_id": "metric-negative_value-uuid",
+  "test_case": "negative_value"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_metric_tiny_number b/autogpt_platform/backend/snapshots/analytics_metric_tiny_number
new file mode 100644
index 000000000000..c7543df027c8
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_metric_tiny_number
@@ -0,0 +1,4 @@
+{
+  "metric_id": "metric-tiny_number-uuid",
+  "test_case": "tiny_number"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/analytics_metric_zero_value b/autogpt_platform/backend/snapshots/analytics_metric_zero_value
new file mode 100644
index 000000000000..482cbf0f6cc4
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/analytics_metric_zero_value
@@ -0,0 +1,4 @@
+{
+  "metric_id": "metric-zero_value-uuid",
+  "test_case": "zero_value"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/auth_email b/autogpt_platform/backend/snapshots/auth_email
new file mode 100644
index 000000000000..178eb291ca89
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/auth_email
@@ -0,0 +1,3 @@
+{
+  "email": "newemail@example.com"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/auth_user b/autogpt_platform/backend/snapshots/auth_user
new file mode 100644
index 000000000000..0fa7824e313e
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/auth_user
@@ -0,0 +1,5 @@
+{
+  "email": "test@example.com",
+  "id": "test-user-id",
+  "name": "Test User"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/blks_all b/autogpt_platform/backend/snapshots/blks_all
new file mode 100644
index 000000000000..714fa205580e
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/blks_all
@@ -0,0 +1,14 @@
+[
+  {
+    "costs": [
+      {
+        "cost": 10,
+        "type": "credit"
+      }
+    ],
+    "description": "A test block",
+    "disabled": false,
+    "id": "test-block",
+    "name": "Test Block"
+  }
+]
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/blks_exec b/autogpt_platform/backend/snapshots/blks_exec
new file mode 100644
index 000000000000..6992daaf625b
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/blks_exec
@@ -0,0 +1,12 @@
+{
+  "output1": [
+    {
+      "data": "result1"
+    }
+  ],
+  "output2": [
+    {
+      "data": "result2"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/creator_details b/autogpt_platform/backend/snapshots/creator_details
new file mode 100644
index 000000000000..0b4e4812c237
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/creator_details
@@ -0,0 +1,16 @@
+{
+  "name": "Test User",
+  "username": "creator1",
+  "description": "Test creator description",
+  "links": [
+    "link1.com",
+    "link2.com"
+  ],
+  "avatar_url": "avatar.jpg",
+  "agent_rating": 4.8,
+  "agent_runs": 1000,
+  "top_categories": [
+    "category1",
+    "category2"
+  ]
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/creators_pagination b/autogpt_platform/backend/snapshots/creators_pagination
new file mode 100644
index 000000000000..5076160d5dbf
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/creators_pagination
@@ -0,0 +1,60 @@
+{
+  "creators": [
+    {
+      "name": "Creator 0",
+      "username": "creator0",
+      "description": "Creator 0 description",
+      "avatar_url": "avatar0.jpg",
+      "num_agents": 1,
+      "agent_rating": 4.5,
+      "agent_runs": 100,
+      "is_featured": false
+    },
+    {
+      "name": "Creator 1",
+      "username": "creator1",
+      "description": "Creator 1 description",
+      "avatar_url": "avatar1.jpg",
+      "num_agents": 1,
+      "agent_rating": 4.5,
+      "agent_runs": 100,
+      "is_featured": false
+    },
+    {
+      "name": "Creator 2",
+      "username": "creator2",
+      "description": "Creator 2 description",
+      "avatar_url": "avatar2.jpg",
+      "num_agents": 1,
+      "agent_rating": 4.5,
+      "agent_runs": 100,
+      "is_featured": false
+    },
+    {
+      "name": "Creator 3",
+      "username": "creator3",
+      "description": "Creator 3 description",
+      "avatar_url": "avatar3.jpg",
+      "num_agents": 1,
+      "agent_rating": 4.5,
+      "agent_runs": 100,
+      "is_featured": false
+    },
+    {
+      "name": "Creator 4",
+      "username": "creator4",
+      "description": "Creator 4 description",
+      "avatar_url": "avatar4.jpg",
+      "num_agents": 1,
+      "agent_rating": 4.5,
+      "agent_runs": 100,
+      "is_featured": false
+    }
+  ],
+  "pagination": {
+    "total_items": 15,
+    "total_pages": 3,
+    "current_page": 2,
+    "page_size": 5
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/cred_bal b/autogpt_platform/backend/snapshots/cred_bal
new file mode 100644
index 000000000000..b31d00b2dea4
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/cred_bal
@@ -0,0 +1,3 @@
+{
+  "credits": 1000
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/cred_topup_cfg b/autogpt_platform/backend/snapshots/cred_topup_cfg
new file mode 100644
index 000000000000..0158ac652d7d
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/cred_topup_cfg
@@ -0,0 +1,4 @@
+{
+  "amount": 500,
+  "threshold": 100
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/cred_topup_req b/autogpt_platform/backend/snapshots/cred_topup_req
new file mode 100644
index 000000000000..91f4d4d348b3
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/cred_topup_req
@@ -0,0 +1,3 @@
+{
+  "checkout_url": "https://checkout.example.com/session123"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/def_agts b/autogpt_platform/backend/snapshots/def_agts
new file mode 100644
index 000000000000..7ff57fae7f77
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/def_agts
@@ -0,0 +1,9 @@
+{
+  "agents": [],
+  "pagination": {
+    "total_items": 0,
+    "total_pages": 0,
+    "current_page": 0,
+    "page_size": 10
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/def_creators b/autogpt_platform/backend/snapshots/def_creators
new file mode 100644
index 000000000000..7cde4005185e
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/def_creators
@@ -0,0 +1,9 @@
+{
+  "creators": [],
+  "pagination": {
+    "total_items": 0,
+    "total_pages": 0,
+    "current_page": 0,
+    "page_size": 10
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/feat_agts b/autogpt_platform/backend/snapshots/feat_agts
new file mode 100644
index 000000000000..d57996a7683d
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/feat_agts
@@ -0,0 +1,21 @@
+{
+  "agents": [
+    {
+      "slug": "featured-agent",
+      "agent_name": "Featured Agent",
+      "agent_image": "featured.jpg",
+      "creator": "creator1",
+      "creator_avatar": "avatar1.jpg",
+      "sub_heading": "Featured agent subheading",
+      "description": "Featured agent description",
+      "runs": 100,
+      "rating": 4.5
+    }
+  ],
+  "pagination": {
+    "total_items": 1,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 20
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/grph_in_schm b/autogpt_platform/backend/snapshots/grph_in_schm
new file mode 100644
index 000000000000..b9fa6f8d91a9
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/grph_in_schm
@@ -0,0 +1,20 @@
+{
+  "properties": {
+    "in_key_a": {
+      "advanced": true,
+      "default": "A",
+      "secret": false,
+      "title": "Key A"
+    },
+    "in_key_b": {
+      "advanced": false,
+      "secret": false,
+      "title": "in_key_b"
+    }
+  },
+  "required": [
+    "in_key_b"
+  ],
+  "title": "ExpectedInputSchema",
+  "type": "object"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/grph_out_schm b/autogpt_platform/backend/snapshots/grph_out_schm
new file mode 100644
index 000000000000..8395d3fbb879
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/grph_out_schm
@@ -0,0 +1,15 @@
+{
+  "properties": {
+    "out_key": {
+      "advanced": false,
+      "description": "This is an output key",
+      "secret": false,
+      "title": "out_key"
+    }
+  },
+  "required": [
+    "out_key"
+  ],
+  "title": "ExpectedOutputSchema",
+  "type": "object"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/grph_single b/autogpt_platform/backend/snapshots/grph_single
new file mode 100644
index 000000000000..0d5dee072ce0
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/grph_single
@@ -0,0 +1,29 @@
+{
+  "credentials_input_schema": {
+    "properties": {},
+    "title": "TestGraphCredentialsInputSchema",
+    "type": "object"
+  },
+  "description": "A test graph",
+  "forked_from_id": null,
+  "forked_from_version": null,
+  "has_external_trigger": false,
+  "id": "graph-123",
+  "input_schema": {
+    "properties": {},
+    "required": [],
+    "type": "object"
+  },
+  "is_active": true,
+  "links": [],
+  "name": "Test Graph",
+  "nodes": [],
+  "output_schema": {
+    "properties": {},
+    "required": [],
+    "type": "object"
+  },
+  "sub_graphs": [],
+  "user_id": "test-user-id",
+  "version": 1
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/grph_struct b/autogpt_platform/backend/snapshots/grph_struct
new file mode 100644
index 000000000000..b0daad42f7f1
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/grph_struct
@@ -0,0 +1,17 @@
+{
+  "description": "Test graph",
+  "link_structure": [
+    {
+      "sink_name": "name",
+      "source_name": "output"
+    }
+  ],
+  "links_count": 1,
+  "name": "TestGraph",
+  "node_blocks": [
+    "1ff065e9-88e8-4358-9d82-8dc91f622ba9",
+    "c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
+    "1ff065e9-88e8-4358-9d82-8dc91f622ba9"
+  ],
+  "nodes_count": 3
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/grphs_all b/autogpt_platform/backend/snapshots/grphs_all
new file mode 100644
index 000000000000..e9abae0c2521
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/grphs_all
@@ -0,0 +1,29 @@
+[
+  {
+    "credentials_input_schema": {
+      "properties": {},
+      "title": "TestGraphCredentialsInputSchema",
+      "type": "object"
+    },
+    "description": "A test graph",
+    "forked_from_id": null,
+    "forked_from_version": null,
+    "has_external_trigger": false,
+    "id": "graph-123",
+    "input_schema": {
+      "properties": {},
+      "required": [],
+      "type": "object"
+    },
+    "is_active": true,
+    "name": "Test Graph",
+    "output_schema": {
+      "properties": {},
+      "required": [],
+      "type": "object"
+    },
+    "sub_graphs": [],
+    "user_id": "test-user-id",
+    "version": 1
+  }
+]
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/grphs_del b/autogpt_platform/backend/snapshots/grphs_del
new file mode 100644
index 000000000000..e3002615b327
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/grphs_del
@@ -0,0 +1,3 @@
+{
+  "version_counts": 3
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/lib_agts_search b/autogpt_platform/backend/snapshots/lib_agts_search
new file mode 100644
index 000000000000..f19d42896ba0
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/lib_agts_search
@@ -0,0 +1,68 @@
+{
+  "agents": [
+    {
+      "id": "test-agent-1",
+      "graph_id": "test-agent-1",
+      "graph_version": 1,
+      "image_url": null,
+      "creator_name": "Test Creator",
+      "creator_image_url": "",
+      "status": "COMPLETED",
+      "updated_at": "2023-01-01T00:00:00",
+      "name": "Test Agent 1",
+      "description": "Test Description 1",
+      "input_schema": {
+        "type": "object",
+        "properties": {}
+      },
+      "output_schema": {
+        "type": "object",
+        "properties": {}
+      },
+      "credentials_input_schema": {
+        "type": "object",
+        "properties": {}
+      },
+      "has_external_trigger": false,
+      "trigger_setup_info": null,
+      "new_output": false,
+      "can_access_graph": true,
+      "is_latest_version": true
+    },
+    {
+      "id": "test-agent-2",
+      "graph_id": "test-agent-2",
+      "graph_version": 1,
+      "image_url": null,
+      "creator_name": "Test Creator",
+      "creator_image_url": "",
+      "status": "COMPLETED",
+      "updated_at": "2023-01-01T00:00:00",
+      "name": "Test Agent 2",
+      "description": "Test Description 2",
+      "input_schema": {
+        "type": "object",
+        "properties": {}
+      },
+      "output_schema": {
+        "type": "object",
+        "properties": {}
+      },
+      "credentials_input_schema": {
+        "type": "object",
+        "properties": {}
+      },
+      "has_external_trigger": false,
+      "trigger_setup_info": null,
+      "new_output": false,
+      "can_access_graph": false,
+      "is_latest_version": true
+    }
+  ],
+  "pagination": {
+    "total_items": 2,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 50
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/log_anlyt_cplx b/autogpt_platform/backend/snapshots/log_anlyt_cplx
new file mode 100644
index 000000000000..4d671672a7fa
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/log_anlyt_cplx
@@ -0,0 +1,30 @@
+{
+  "analytics_id": "analytics-complex-uuid",
+  "logged_data": {
+    "agent_id": "agent_123",
+    "blocks_used": [
+      {
+        "block_id": "llm_block",
+        "count": 3
+      },
+      {
+        "block_id": "http_block",
+        "count": 5
+      },
+      {
+        "block_id": "code_block",
+        "count": 2
+      }
+    ],
+    "duration_ms": 3500,
+    "errors": [],
+    "execution_id": "exec_456",
+    "metadata": {
+      "environment": "production",
+      "trigger": "manual",
+      "user_tier": "premium"
+    },
+    "nodes_executed": 15,
+    "status": "completed"
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/log_anlyt_ok b/autogpt_platform/backend/snapshots/log_anlyt_ok
new file mode 100644
index 000000000000..a08eb0c89ca9
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/log_anlyt_ok
@@ -0,0 +1,3 @@
+{
+  "analytics_id": "analytics-789-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/log_metric_ok b/autogpt_platform/backend/snapshots/log_metric_ok
new file mode 100644
index 000000000000..a08f406588d8
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/log_metric_ok
@@ -0,0 +1,3 @@
+{
+  "metric_id": "metric-123-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/log_metric_vals b/autogpt_platform/backend/snapshots/log_metric_vals
new file mode 100644
index 000000000000..6edf88cecc5e
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/log_metric_vals
@@ -0,0 +1,3 @@
+{
+  "metric_id": "metric-456-uuid"
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/otto_empty b/autogpt_platform/backend/snapshots/otto_empty
new file mode 100644
index 000000000000..3ddc69e673f3
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/otto_empty
@@ -0,0 +1,5 @@
+{
+  "answer": "Welcome! How can I help you?",
+  "documents": [],
+  "success": true
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/otto_err b/autogpt_platform/backend/snapshots/otto_err
new file mode 100644
index 000000000000..e451389529eb
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/otto_err
@@ -0,0 +1,5 @@
+{
+  "answer": "An error occurred while processing your request.",
+  "documents": [],
+  "success": false
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/otto_grph b/autogpt_platform/backend/snapshots/otto_grph
new file mode 100644
index 000000000000..67f8b7dc90a8
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/otto_grph
@@ -0,0 +1,10 @@
+{
+  "answer": "Here's information about your graph.",
+  "documents": [
+    {
+      "relevance_score": 0.92,
+      "url": "https://example.com/graph-doc"
+    }
+  ],
+  "success": true
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/otto_ok b/autogpt_platform/backend/snapshots/otto_ok
new file mode 100644
index 000000000000..f278f904f989
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/otto_ok
@@ -0,0 +1,14 @@
+{
+  "answer": "This is Otto's response to your query.",
+  "documents": [
+    {
+      "relevance_score": 0.95,
+      "url": "https://example.com/doc1"
+    },
+    {
+      "relevance_score": 0.87,
+      "url": "https://example.com/doc2"
+    }
+  ],
+  "success": true
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/sub b/autogpt_platform/backend/snapshots/sub
new file mode 100644
index 000000000000..da65ce90a4b2
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/sub
@@ -0,0 +1,7 @@
+{
+  "channel": "3e53486c-cf57-477e-ba2a-cb02dc828e1a|graph_exec#test-graph-exec-1",
+  "data": null,
+  "error": null,
+  "method": "subscribe_graph_execution",
+  "success": true
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/sub_pagination b/autogpt_platform/backend/snapshots/sub_pagination
new file mode 100644
index 000000000000..7bc1cb9b5725
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/sub_pagination
@@ -0,0 +1,9 @@
+{
+  "submissions": [],
+  "pagination": {
+    "total_items": 10,
+    "total_pages": 2,
+    "current_page": 2,
+    "page_size": 5
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/sub_success b/autogpt_platform/backend/snapshots/sub_success
new file mode 100644
index 000000000000..5f46f4a43444
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/sub_success
@@ -0,0 +1,36 @@
+{
+  "submissions": [
+    {
+      "agent_id": "test-agent-id",
+      "agent_version": 1,
+      "name": "Test Agent",
+      "sub_heading": "Test agent subheading",
+      "slug": "test-agent",
+      "description": "Test agent description",
+      "image_urls": [
+        "test.jpg"
+      ],
+      "date_submitted": "2023-01-01T00:00:00",
+      "status": "APPROVED",
+      "runs": 50,
+      "rating": 4.2,
+      "store_listing_version_id": null,
+      "version": null,
+      "reviewer_id": null,
+      "review_comments": null,
+      "internal_comments": null,
+      "reviewed_at": null,
+      "changes_summary": null,
+      "video_url": "test.mp4",
+      "categories": [
+        "test-category"
+      ]
+    }
+  ],
+  "pagination": {
+    "total_items": 1,
+    "total_pages": 1,
+    "current_page": 1,
+    "page_size": 20
+  }
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/snapshots/unsub b/autogpt_platform/backend/snapshots/unsub
new file mode 100644
index 000000000000..24ad944c3f72
--- /dev/null
+++ b/autogpt_platform/backend/snapshots/unsub
@@ -0,0 +1,7 @@
+{
+  "channel": "3e53486c-cf57-477e-ba2a-cb02dc828e1a|graph_exec#test-graph-exec-1",
+  "data": null,
+  "error": null,
+  "method": "unsubscribe",
+  "success": true
+}
\ No newline at end of file
diff --git a/autogpt_platform/backend/test/__init__.py b/autogpt_platform/backend/test/__init__.py
index d10438719da5..67d696d6d016 100644
--- a/autogpt_platform/backend/test/__init__.py
+++ b/autogpt_platform/backend/test/__init__.py
@@ -1,3 +1 @@
-import os
-
-os.environ["ENABLE_AUTH"] = "false"
+# This file makes the test directory a Python module
diff --git a/autogpt_platform/backend/test/block/test_block.py b/autogpt_platform/backend/test/block/test_block.py
deleted file mode 100644
index 48d2616f613e..000000000000
--- a/autogpt_platform/backend/test/block/test_block.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from typing import Type
-
-import pytest
-
-from backend.data.block import Block, get_blocks
-from backend.util.test import execute_block_test
-
-
-@pytest.mark.parametrize("block", get_blocks().values(), ids=lambda b: b.name)
-def test_available_blocks(block: Type[Block]):
-    execute_block_test(block())
diff --git a/autogpt_platform/backend/test/blocks/test_gmail.py b/autogpt_platform/backend/test/blocks/test_gmail.py
new file mode 100644
index 000000000000..5c086c6e0b0e
--- /dev/null
+++ b/autogpt_platform/backend/test/blocks/test_gmail.py
@@ -0,0 +1,231 @@
+import base64
+from unittest.mock import Mock, patch
+
+import pytest
+
+from backend.blocks.google.gmail import GmailReadBlock
+
+
+class TestGmailReadBlock:
+    """Test cases for GmailReadBlock email body parsing functionality."""
+
+    def setup_method(self):
+        """Set up test fixtures."""
+        self.gmail_block = GmailReadBlock()
+        self.mock_service = Mock()
+
+    def _encode_base64(self, text: str) -> str:
+        """Helper to encode text as base64 URL-safe."""
+        return base64.urlsafe_b64encode(text.encode("utf-8")).decode("utf-8")
+
+    @pytest.mark.asyncio
+    async def test_single_part_text_plain(self):
+        """Test parsing single-part text/plain email."""
+        body_text = "This is a plain text email body."
+        msg = {
+            "id": "test_msg_1",
+            "payload": {
+                "mimeType": "text/plain",
+                "body": {"data": self._encode_base64(body_text)},
+            },
+        }
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        assert result == body_text
+
+    @pytest.mark.asyncio
+    async def test_multipart_alternative_plain_and_html(self):
+        """Test parsing multipart/alternative with both plain and HTML parts."""
+        plain_text = "This is the plain text version."
+        html_text = "<html><body><p>This is the HTML version.</p></body></html>"
+
+        msg = {
+            "id": "test_msg_2",
+            "payload": {
+                "mimeType": "multipart/alternative",
+                "parts": [
+                    {
+                        "mimeType": "text/plain",
+                        "body": {"data": self._encode_base64(plain_text)},
+                    },
+                    {
+                        "mimeType": "text/html",
+                        "body": {"data": self._encode_base64(html_text)},
+                    },
+                ],
+            },
+        }
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        # Should prefer plain text over HTML
+        assert result == plain_text
+
+    @pytest.mark.asyncio
+    async def test_html_only_email(self):
+        """Test parsing HTML-only email with conversion to plain text."""
+        html_text = (
+            "<html><body><h1>Hello World</h1><p>This is HTML content.</p></body></html>"
+        )
+
+        msg = {
+            "id": "test_msg_3",
+            "payload": {
+                "mimeType": "text/html",
+                "body": {"data": self._encode_base64(html_text)},
+            },
+        }
+
+        with patch("html2text.HTML2Text") as mock_html2text:
+            mock_converter = Mock()
+            mock_converter.handle.return_value = "Hello World\n\nThis is HTML content."
+            mock_html2text.return_value = mock_converter
+
+            result = await self.gmail_block._get_email_body(msg, self.mock_service)
+            assert "Hello World" in result
+            assert "This is HTML content" in result
+
+    @pytest.mark.asyncio
+    async def test_html_fallback_when_html2text_unavailable(self):
+        """Test fallback to raw HTML when html2text is not available."""
+        html_text = "<html><body><p>HTML content</p></body></html>"
+
+        msg = {
+            "id": "test_msg_4",
+            "payload": {
+                "mimeType": "text/html",
+                "body": {"data": self._encode_base64(html_text)},
+            },
+        }
+
+        with patch("html2text.HTML2Text", side_effect=ImportError):
+            result = await self.gmail_block._get_email_body(msg, self.mock_service)
+            assert result == html_text
+
+    @pytest.mark.asyncio
+    async def test_nested_multipart_structure(self):
+        """Test parsing deeply nested multipart structure."""
+        plain_text = "Nested plain text content."
+
+        msg = {
+            "id": "test_msg_5",
+            "payload": {
+                "mimeType": "multipart/mixed",
+                "parts": [
+                    {
+                        "mimeType": "multipart/alternative",
+                        "parts": [
+                            {
+                                "mimeType": "text/plain",
+                                "body": {"data": self._encode_base64(plain_text)},
+                            },
+                        ],
+                    },
+                ],
+            },
+        }
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        assert result == plain_text
+
+    @pytest.mark.asyncio
+    async def test_attachment_body_content(self):
+        """Test parsing email where body is stored as attachment."""
+        attachment_data = self._encode_base64("Body content from attachment.")
+
+        msg = {
+            "id": "test_msg_6",
+            "payload": {
+                "mimeType": "text/plain",
+                "body": {"attachmentId": "attachment_123"},
+            },
+        }
+
+        # Mock the attachment download
+        self.mock_service.users().messages().attachments().get().execute.return_value = {
+            "data": attachment_data
+        }
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        assert result == "Body content from attachment."
+
+    @pytest.mark.asyncio
+    async def test_no_readable_body(self):
+        """Test email with no readable body content."""
+        msg = {
+            "id": "test_msg_7",
+            "payload": {
+                "mimeType": "application/octet-stream",
+                "body": {},
+            },
+        }
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        assert result == "This email does not contain a readable body."
+
+    @pytest.mark.asyncio
+    async def test_base64_padding_handling(self):
+        """Test proper handling of base64 data with missing padding."""
+        # Create base64 data with missing padding
+        text = "Test content"
+        encoded = base64.urlsafe_b64encode(text.encode("utf-8")).decode("utf-8")
+        # Remove padding
+        encoded_no_padding = encoded.rstrip("=")
+
+        result = self.gmail_block._decode_base64(encoded_no_padding)
+        assert result == text
+
+    @pytest.mark.asyncio
+    async def test_recursion_depth_limit(self):
+        """Test that recursion depth is properly limited."""
+
+        # Create a deeply nested structure that would exceed the limit
+        def create_nested_part(depth):
+            if depth > 15:  # Exceed the limit of 10
+                return {
+                    "mimeType": "text/plain",
+                    "body": {"data": self._encode_base64("Deep content")},
+                }
+            return {
+                "mimeType": "multipart/mixed",
+                "parts": [create_nested_part(depth + 1)],
+            }
+
+        msg = {
+            "id": "test_msg_8",
+            "payload": create_nested_part(0),
+        }
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        # Should return fallback message due to depth limit
+        assert result == "This email does not contain a readable body."
+
+    @pytest.mark.asyncio
+    async def test_malformed_base64_handling(self):
+        """Test handling of malformed base64 data."""
+        result = self.gmail_block._decode_base64("invalid_base64_data!!!")
+        assert result is None
+
+    @pytest.mark.asyncio
+    async def test_empty_data_handling(self):
+        """Test handling of empty or None data."""
+        assert self.gmail_block._decode_base64("") is None
+        assert self.gmail_block._decode_base64(None) is None
+
+    @pytest.mark.asyncio
+    async def test_attachment_download_failure(self):
+        """Test handling of attachment download failure."""
+        msg = {
+            "id": "test_msg_9",
+            "payload": {
+                "mimeType": "text/plain",
+                "body": {"attachmentId": "invalid_attachment"},
+            },
+        }
+
+        # Mock attachment download failure
+        self.mock_service.users().messages().attachments().get().execute.side_effect = (
+            Exception("Download failed")
+        )
+
+        result = await self.gmail_block._get_email_body(msg, self.mock_service)
+        assert result == "This email does not contain a readable body."
diff --git a/autogpt_platform/backend/test/conftest.py b/autogpt_platform/backend/test/conftest.py
deleted file mode 100644
index d107a0b322ef..000000000000
--- a/autogpt_platform/backend/test/conftest.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import logging
-
-import pytest
-
-from backend.util.test import SpinTestServer
-
-#  NOTE: You can run tests like with the --log-cli-level=INFO to see the logs
-# Set up logging
-logger = logging.getLogger(__name__)
-
-# Create console handler with formatting
-ch = logging.StreamHandler()
-ch.setLevel(logging.INFO)
-formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
-ch.setFormatter(formatter)
-logger.addHandler(ch)
-
-
-@pytest.fixture(scope="session")
-async def server():
-    async with SpinTestServer() as server:
-        yield server
-
-
-@pytest.fixture(scope="session", autouse=True)
-async def graph_cleanup(server):
-    created_graph_ids = []
-    original_create_graph = server.agent_server.test_create_graph
-
-    async def create_graph_wrapper(*args, **kwargs):
-        created_graph = await original_create_graph(*args, **kwargs)
-        # Extract user_id correctly
-        user_id = kwargs.get("user_id", args[2] if len(args) > 2 else None)
-        created_graph_ids.append((created_graph.id, user_id))
-        return created_graph
-
-    try:
-        server.agent_server.test_create_graph = create_graph_wrapper
-        yield  # This runs the test function
-    finally:
-        server.agent_server.test_create_graph = original_create_graph
-
-        # Delete the created graphs and assert they were deleted
-        for graph_id, user_id in created_graph_ids:
-            if user_id:
-                resp = await server.agent_server.test_delete_graph(graph_id, user_id)
-                num_deleted = resp["version_counts"]
-                assert num_deleted > 0, f"Graph {graph_id} was not deleted."
diff --git a/autogpt_platform/backend/test/data/test_credit.py b/autogpt_platform/backend/test/data/test_credit.py
deleted file mode 100644
index 41e6a697f92a..000000000000
--- a/autogpt_platform/backend/test/data/test_credit.py
+++ /dev/null
@@ -1,98 +0,0 @@
-from datetime import datetime
-
-import pytest
-from prisma.models import CreditTransaction
-
-from backend.blocks.llm import AITextGeneratorBlock
-from backend.data.credit import UserCredit
-from backend.data.user import DEFAULT_USER_ID
-from backend.integrations.credentials_store import openai_credentials
-from backend.util.test import SpinTestServer
-
-REFILL_VALUE = 1000
-user_credit = UserCredit(REFILL_VALUE)
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_block_credit_usage(server: SpinTestServer):
-    current_credit = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-
-    spending_amount_1 = await user_credit.spend_credits(
-        DEFAULT_USER_ID,
-        current_credit,
-        AITextGeneratorBlock().id,
-        {
-            "model": "gpt-4-turbo",
-            "credentials": {
-                "id": openai_credentials.id,
-                "provider": openai_credentials.provider,
-                "type": openai_credentials.type,
-            },
-        },
-        0.0,
-        0.0,
-        validate_balance=False,
-    )
-    assert spending_amount_1 > 0
-
-    spending_amount_2 = await user_credit.spend_credits(
-        DEFAULT_USER_ID,
-        current_credit,
-        AITextGeneratorBlock().id,
-        {"model": "gpt-4-turbo", "api_key": "owned_api_key"},
-        0.0,
-        0.0,
-        validate_balance=False,
-    )
-    assert spending_amount_2 == 0
-
-    new_credit = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-    assert new_credit == current_credit - spending_amount_1 - spending_amount_2
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_block_credit_top_up(server: SpinTestServer):
-    current_credit = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-
-    await user_credit.top_up_credits(DEFAULT_USER_ID, 100)
-
-    new_credit = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-    assert new_credit == current_credit + 100
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_block_credit_reset(server: SpinTestServer):
-    month1 = datetime(2022, 1, 15)
-    month2 = datetime(2022, 2, 15)
-
-    user_credit.time_now = lambda: month2
-    month2credit = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-
-    # Month 1 result should only affect month 1
-    user_credit.time_now = lambda: month1
-    month1credit = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-    await user_credit.top_up_credits(DEFAULT_USER_ID, 100)
-    assert await user_credit.get_or_refill_credit(DEFAULT_USER_ID) == month1credit + 100
-
-    # Month 2 balance is unaffected
-    user_credit.time_now = lambda: month2
-    assert await user_credit.get_or_refill_credit(DEFAULT_USER_ID) == month2credit
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_credit_refill(server: SpinTestServer):
-    # Clear all transactions within the month
-    await CreditTransaction.prisma().update_many(
-        where={
-            "userId": DEFAULT_USER_ID,
-            "createdAt": {
-                "gte": datetime(2022, 2, 1),
-                "lt": datetime(2022, 3, 1),
-            },
-        },
-        data={"isActive": False},
-    )
-    user_credit.time_now = lambda: datetime(2022, 2, 15)
-
-    balance = await user_credit.get_or_refill_credit(DEFAULT_USER_ID)
-    assert balance == REFILL_VALUE
diff --git a/autogpt_platform/backend/test/data/test_graph.py b/autogpt_platform/backend/test/data/test_graph.py
deleted file mode 100644
index 050e20fdc04b..000000000000
--- a/autogpt_platform/backend/test/data/test_graph.py
+++ /dev/null
@@ -1,157 +0,0 @@
-from typing import Any
-from uuid import UUID
-
-import pytest
-
-from backend.blocks.basic import AgentInputBlock, AgentOutputBlock, StoreValueBlock
-from backend.data.block import BlockSchema
-from backend.data.graph import Graph, Link, Node
-from backend.data.model import SchemaField
-from backend.data.user import DEFAULT_USER_ID
-from backend.server.model import CreateGraph
-from backend.util.test import SpinTestServer
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_graph_creation(server: SpinTestServer):
-    """
-    Test the creation of a graph with nodes and links.
-
-    This test ensures that:
-    1. A graph can be successfully created with valid connections.
-    2. The created graph has the correct structure and properties.
-
-    Args:
-        server (SpinTestServer): The test server instance.
-    """
-    value_block = StoreValueBlock().id
-    input_block = AgentInputBlock().id
-
-    graph = Graph(
-        id="test_graph",
-        name="TestGraph",
-        description="Test graph",
-        nodes=[
-            Node(id="node_1", block_id=value_block),
-            Node(id="node_2", block_id=input_block, input_default={"name": "input"}),
-            Node(id="node_3", block_id=value_block),
-        ],
-        links=[
-            Link(
-                source_id="node_1",
-                sink_id="node_2",
-                source_name="output",
-                sink_name="name",
-            ),
-        ],
-    )
-    create_graph = CreateGraph(graph=graph)
-    created_graph = await server.agent_server.test_create_graph(
-        create_graph, DEFAULT_USER_ID
-    )
-
-    assert UUID(created_graph.id)
-    assert created_graph.name == "TestGraph"
-
-    assert len(created_graph.nodes) == 3
-    assert UUID(created_graph.nodes[0].id)
-    assert UUID(created_graph.nodes[1].id)
-    assert UUID(created_graph.nodes[2].id)
-
-    nodes = created_graph.nodes
-    links = created_graph.links
-    assert len(links) == 1
-    assert links[0].source_id != links[0].sink_id
-    assert links[0].source_id in {nodes[0].id, nodes[1].id, nodes[2].id}
-    assert links[0].sink_id in {nodes[0].id, nodes[1].id, nodes[2].id}
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_get_input_schema(server: SpinTestServer):
-    """
-    Test the get_input_schema method of a created graph.
-
-    This test ensures that:
-    1. A graph can be created with a single node.
-    2. The input schema of the created graph is correctly generated.
-    3. The input schema contains the expected input name and node id.
-
-    Args:
-        server (SpinTestServer): The test server instance.
-    """
-    value_block = StoreValueBlock().id
-    input_block = AgentInputBlock().id
-    output_block = AgentOutputBlock().id
-
-    graph = Graph(
-        name="TestInputSchema",
-        description="Test input schema",
-        nodes=[
-            Node(
-                id="node_0_a",
-                block_id=input_block,
-                input_default={"name": "in_key_a", "title": "Key A", "value": "A"},
-                metadata={"id": "node_0_a"},
-            ),
-            Node(
-                id="node_0_b",
-                block_id=input_block,
-                input_default={"name": "in_key_b", "advanced": True},
-                metadata={"id": "node_0_b"},
-            ),
-            Node(id="node_1", block_id=value_block, metadata={"id": "node_1"}),
-            Node(
-                id="node_2",
-                block_id=output_block,
-                input_default={
-                    "name": "out_key",
-                    "description": "This is an output key",
-                },
-                metadata={"id": "node_2"},
-            ),
-        ],
-        links=[
-            Link(
-                source_id="node_0_a",
-                sink_id="node_1",
-                source_name="result",
-                sink_name="input",
-            ),
-            Link(
-                source_id="node_0_b",
-                sink_id="node_1",
-                source_name="result",
-                sink_name="input",
-            ),
-            Link(
-                source_id="node_1",
-                sink_id="node_2",
-                source_name="output",
-                sink_name="value",
-            ),
-        ],
-    )
-
-    create_graph = CreateGraph(graph=graph)
-    created_graph = await server.agent_server.test_create_graph(
-        create_graph, DEFAULT_USER_ID
-    )
-
-    class ExpectedInputSchema(BlockSchema):
-        in_key_a: Any = SchemaField(title="Key A", default="A", advanced=False)
-        in_key_b: Any = SchemaField(title="in_key_b", advanced=True)
-
-    class ExpectedOutputSchema(BlockSchema):
-        out_key: Any = SchemaField(
-            description="This is an output key",
-            title="out_key",
-            advanced=False,
-        )
-
-    input_schema = created_graph.input_schema
-    input_schema["title"] = "ExpectedInputSchema"
-    assert input_schema == ExpectedInputSchema.jsonschema()
-
-    output_schema = created_graph.output_schema
-    output_schema["title"] = "ExpectedOutputSchema"
-    assert output_schema == ExpectedOutputSchema.jsonschema()
diff --git a/autogpt_platform/backend/test/e2e_test_data.py b/autogpt_platform/backend/test/e2e_test_data.py
new file mode 100644
index 000000000000..b183d83d59ec
--- /dev/null
+++ b/autogpt_platform/backend/test/e2e_test_data.py
@@ -0,0 +1,846 @@
+"""
+E2E Test Data Creator for AutoGPT Platform
+
+This script creates test data for E2E tests by using API functions instead of direct Prisma calls.
+This approach ensures compatibility with future model changes by using the API layer.
+
+Image/Video URL Domains Used:
+- Images: picsum.photos (for all image URLs - avatars, store listing images, etc.)
+- Videos: youtube.com (for store listing video URLs)
+
+Add these domains to your Next.js config:
+```javascript
+// next.config.js
+images: {
+  domains: ['picsum.photos'],
+}
+```
+"""
+
+import asyncio
+import random
+from typing import Any, Dict, List
+
+from faker import Faker
+
+from backend.data.api_key import generate_api_key
+from backend.data.credit import get_user_credit_model
+from backend.data.db import prisma
+from backend.data.graph import Graph, Link, Node, create_graph
+
+# Import API functions from the backend
+from backend.data.user import get_or_create_user
+from backend.server.v2.library.db import create_library_agent, create_preset
+from backend.server.v2.library.model import LibraryAgentPresetCreatable
+from backend.server.v2.store.db import create_store_submission, review_store_submission
+from backend.util.clients import get_supabase
+
+faker = Faker()
+
+
+# Constants for data generation limits (reduced for E2E tests)
+NUM_USERS = 15
+NUM_AGENT_BLOCKS = 30
+MIN_GRAPHS_PER_USER = 15
+MAX_GRAPHS_PER_USER = 15
+MIN_NODES_PER_GRAPH = 3
+MAX_NODES_PER_GRAPH = 6
+MIN_PRESETS_PER_USER = 2
+MAX_PRESETS_PER_USER = 3
+MIN_AGENTS_PER_USER = 15
+MAX_AGENTS_PER_USER = 15
+MIN_EXECUTIONS_PER_GRAPH = 2
+MAX_EXECUTIONS_PER_GRAPH = 8
+MIN_REVIEWS_PER_VERSION = 2
+MAX_REVIEWS_PER_VERSION = 5
+
+
+def get_image():
+    """Generate a consistent image URL using picsum.photos service."""
+    width = random.choice([200, 300, 400, 500, 600, 800])
+    height = random.choice([200, 300, 400, 500, 600, 800])
+    seed = random.randint(1, 1000)
+    return f"https://picsum.photos/seed/{seed}/{width}/{height}"
+
+
+def get_video_url():
+    """Generate a consistent video URL using YouTube."""
+    video_ids = [
+        "dQw4w9WgXcQ",
+        "9bZkp7q19f0",
+        "kJQP7kiw5Fk",
+        "RgKAFK5djSk",
+        "L_jWHffIx5E",
+    ]
+    video_id = random.choice(video_ids)
+    return f"https://www.youtube.com/watch?v={video_id}"
+
+
+def get_category():
+    """Generate a random category from the predefined list."""
+    categories = [
+        "productivity",
+        "writing",
+        "development",
+        "data",
+        "marketing",
+        "research",
+        "creative",
+        "business",
+        "personal",
+        "other",
+    ]
+    return random.choice(categories)
+
+
+class TestDataCreator:
+    """Creates test data using API functions for E2E tests."""
+
+    def __init__(self):
+        self.users: List[Dict[str, Any]] = []
+        self.agent_blocks: List[Dict[str, Any]] = []
+        self.agent_graphs: List[Dict[str, Any]] = []
+        self.library_agents: List[Dict[str, Any]] = []
+        self.store_submissions: List[Dict[str, Any]] = []
+        self.api_keys: List[Dict[str, Any]] = []
+        self.presets: List[Dict[str, Any]] = []
+        self.profiles: List[Dict[str, Any]] = []
+
+    async def create_test_users(self) -> List[Dict[str, Any]]:
+        """Create test users using Supabase client."""
+        print(f"Creating {NUM_USERS} test users...")
+
+        supabase = get_supabase()
+        users = []
+
+        for i in range(NUM_USERS):
+            try:
+                # Generate test user data
+                if i == 0:
+                    # First user should have test123@gmail.com email for testing
+                    email = "test123@gmail.com"
+                else:
+                    email = faker.unique.email()
+                password = "testpassword123"  # Standard test password
+                user_id = f"test-user-{i}-{faker.uuid4()}"
+
+                # Create user in Supabase Auth (if needed)
+                try:
+                    auth_response = supabase.auth.admin.create_user(
+                        {"email": email, "password": password, "email_confirm": True}
+                    )
+                    if auth_response.user:
+                        user_id = auth_response.user.id
+                except Exception as supabase_error:
+                    print(
+                        f"Supabase user creation failed for {email}, using fallback: {supabase_error}"
+                    )
+                    # Fall back to direct database creation
+
+                # Create mock user data similar to what auth middleware would provide
+                user_data = {
+                    "sub": user_id,
+                    "email": email,
+                }
+
+                # Use the API function to create user in local database
+                user = await get_or_create_user(user_data)
+                users.append(user.model_dump())
+
+            except Exception as e:
+                print(f"Error creating user {i}: {e}")
+                continue
+
+        self.users = users
+        return users
+
+    async def get_available_blocks(self) -> List[Dict[str, Any]]:
+        """Get available agent blocks from database."""
+        print("Getting available agent blocks...")
+
+        # Get blocks from database instead of the registry
+        db_blocks = await prisma.agentblock.find_many()
+        if not db_blocks:
+            print("No blocks found in database, creating some basic blocks...")
+            # Create some basic blocks if none exist
+            from backend.blocks.io import AgentInputBlock, AgentOutputBlock
+            from backend.blocks.maths import CalculatorBlock
+            from backend.blocks.time_blocks import GetCurrentTimeBlock
+
+            blocks_to_create = [
+                AgentInputBlock(),
+                AgentOutputBlock(),
+                CalculatorBlock(),
+                GetCurrentTimeBlock(),
+            ]
+
+            for block in blocks_to_create:
+                try:
+                    await prisma.agentblock.create(
+                        data={
+                            "id": block.id,
+                            "name": block.name,
+                            "inputSchema": "{}",
+                            "outputSchema": "{}",
+                        }
+                    )
+                except Exception as e:
+                    print(f"Error creating block {block.name}: {e}")
+
+            # Get blocks again after creation
+            db_blocks = await prisma.agentblock.find_many()
+
+        self.agent_blocks = [
+            {"id": block.id, "name": block.name} for block in db_blocks
+        ]
+        print(f"Found {len(self.agent_blocks)} blocks in database")
+        return self.agent_blocks
+
+    async def create_test_graphs(self) -> List[Dict[str, Any]]:
+        """Create test graphs using the API function."""
+        print("Creating test graphs...")
+
+        graphs = []
+        for user in self.users:
+            num_graphs = random.randint(MIN_GRAPHS_PER_USER, MAX_GRAPHS_PER_USER)
+
+            for graph_num in range(num_graphs):
+                # Create a simple graph with nodes and links
+                graph_id = str(faker.uuid4())
+                nodes = []
+                links = []
+
+                # Determine if this should be a DummyInput graph (first 3-4 graphs per user)
+                is_dummy_input = graph_num < 4
+
+                # Create nodes based on graph type
+                if is_dummy_input:
+                    # For dummy input graphs: only GetCurrentTimeBlock
+                    node_id = str(faker.uuid4())
+                    block = next(
+                        b
+                        for b in self.agent_blocks
+                        if b["name"] == "GetCurrentTimeBlock"
+                    )
+                    input_default = {"trigger": "start", "format": "%H:%M:%S"}
+
+                    node = Node(
+                        id=node_id,
+                        block_id=block["id"],
+                        input_default=input_default,
+                        metadata={"position": {"x": 0, "y": 0}},
+                    )
+                    nodes.append(node)
+                else:
+                    # For regular graphs: Create calculator agent pattern with 4 nodes
+                    # Node 1: AgentInputBlock for 'a'
+                    input_a_id = str(faker.uuid4())
+                    input_a_block = next(
+                        b for b in self.agent_blocks if b["name"] == "AgentInputBlock"
+                    )
+                    input_a_node = Node(
+                        id=input_a_id,
+                        block_id=input_a_block["id"],
+                        input_default={
+                            "name": "a",
+                            "title": None,
+                            "value": "",
+                            "advanced": False,
+                            "description": None,
+                            "placeholder_values": [],
+                        },
+                        metadata={"position": {"x": -1012, "y": 674}},
+                    )
+                    nodes.append(input_a_node)
+
+                    # Node 2: AgentInputBlock for 'b'
+                    input_b_id = str(faker.uuid4())
+                    input_b_block = next(
+                        b for b in self.agent_blocks if b["name"] == "AgentInputBlock"
+                    )
+                    input_b_node = Node(
+                        id=input_b_id,
+                        block_id=input_b_block["id"],
+                        input_default={
+                            "name": "b",
+                            "title": None,
+                            "value": "",
+                            "advanced": False,
+                            "description": None,
+                            "placeholder_values": [],
+                        },
+                        metadata={"position": {"x": -1117, "y": 78}},
+                    )
+                    nodes.append(input_b_node)
+
+                    # Node 3: CalculatorBlock
+                    calc_id = str(faker.uuid4())
+                    calc_block = next(
+                        b for b in self.agent_blocks if b["name"] == "CalculatorBlock"
+                    )
+                    calc_node = Node(
+                        id=calc_id,
+                        block_id=calc_block["id"],
+                        input_default={"operation": "Add", "round_result": False},
+                        metadata={"position": {"x": -435, "y": 363}},
+                    )
+                    nodes.append(calc_node)
+
+                    # Node 4: AgentOutputBlock
+                    output_id = str(faker.uuid4())
+                    output_block = next(
+                        b for b in self.agent_blocks if b["name"] == "AgentOutputBlock"
+                    )
+                    output_node = Node(
+                        id=output_id,
+                        block_id=output_block["id"],
+                        input_default={
+                            "name": "result",
+                            "title": None,
+                            "value": "",
+                            "format": "",
+                            "advanced": False,
+                            "description": None,
+                        },
+                        metadata={"position": {"x": 402, "y": 0}},
+                    )
+                    nodes.append(output_node)
+
+                    # Create links between nodes (only for non-dummy graphs with multiple nodes)
+                    if len(nodes) >= 4:
+                        # Use the actual node IDs from the created nodes instead of our variables
+                        actual_input_a_id = nodes[0].id  # First node (input_a)
+                        actual_input_b_id = nodes[1].id  # Second node (input_b)
+                        actual_calc_id = nodes[2].id  # Third node (calculator)
+                        actual_output_id = nodes[3].id  # Fourth node (output)
+
+                        # Link input_a to calculator.a
+                        link1 = Link(
+                            source_id=actual_input_a_id,
+                            sink_id=actual_calc_id,
+                            source_name="result",
+                            sink_name="a",
+                            is_static=True,
+                        )
+                        links.append(link1)
+
+                        # Link input_b to calculator.b
+                        link2 = Link(
+                            source_id=actual_input_b_id,
+                            sink_id=actual_calc_id,
+                            source_name="result",
+                            sink_name="b",
+                            is_static=True,
+                        )
+                        links.append(link2)
+
+                        # Link calculator.result to output.value
+                        link3 = Link(
+                            source_id=actual_calc_id,
+                            sink_id=actual_output_id,
+                            source_name="result",
+                            sink_name="value",
+                            is_static=False,
+                        )
+                        links.append(link3)
+
+                # Create graph object with DummyInput in name if it's a dummy input graph
+                graph_name = faker.sentence(nb_words=3)
+                if is_dummy_input:
+                    graph_name = f"DummyInput {graph_name}"
+
+                graph_name = f"{graph_name} Agents"
+
+                graph = Graph(
+                    id=graph_id,
+                    name=graph_name,
+                    description=faker.text(max_nb_chars=200),
+                    nodes=nodes,
+                    links=links,
+                    is_active=True,
+                )
+
+                try:
+                    # Use the API function to create graph
+                    created_graph = await create_graph(graph, user["id"])
+                    graph_dict = created_graph.model_dump()
+                    # Ensure userId is included for store submissions
+                    graph_dict["userId"] = user["id"]
+                    graphs.append(graph_dict)
+                    print(
+                        f"✅ Created graph for user {user['id']}: {graph_dict['name']}"
+                    )
+                except Exception as e:
+                    print(f"Error creating graph: {e}")
+                    continue
+
+        self.agent_graphs = graphs
+        return graphs
+
+    async def create_test_library_agents(self) -> List[Dict[str, Any]]:
+        """Create test library agents using the API function."""
+        print("Creating test library agents...")
+
+        library_agents = []
+        for user in self.users:
+            num_agents = 10  # Create exactly 10 agents per user
+
+            # Get available graphs for this user
+            user_graphs = [
+                g for g in self.agent_graphs if g.get("userId") == user["id"]
+            ]
+            if not user_graphs:
+                continue
+
+            # Shuffle and take unique graphs to avoid duplicates
+            random.shuffle(user_graphs)
+            selected_graphs = user_graphs[: min(num_agents, len(user_graphs))]
+
+            for graph_data in selected_graphs:
+                try:
+                    # Get the graph model from the database
+                    from backend.data.graph import get_graph
+
+                    graph = await get_graph(
+                        graph_data["id"], graph_data.get("version", 1), user["id"]
+                    )
+                    if graph:
+                        # Use the API function to create library agent
+                        library_agents.extend(
+                            v.model_dump()
+                            for v in await create_library_agent(graph, user["id"])
+                        )
+                except Exception as e:
+                    print(f"Error creating library agent: {e}")
+                    continue
+
+        self.library_agents = library_agents
+        return library_agents
+
+    async def create_test_presets(self) -> List[Dict[str, Any]]:
+        """Create test presets using the API function."""
+        print("Creating test presets...")
+
+        presets = []
+        for user in self.users:
+            num_presets = random.randint(MIN_PRESETS_PER_USER, MAX_PRESETS_PER_USER)
+
+            # Get available graphs for this user
+            user_graphs = [
+                g for g in self.agent_graphs if g.get("userId") == user["id"]
+            ]
+            if not user_graphs:
+                continue
+
+            for _ in range(min(num_presets, len(user_graphs))):
+                graph = random.choice(user_graphs)
+
+                preset_data = LibraryAgentPresetCreatable(
+                    name=faker.sentence(nb_words=3),
+                    description=faker.text(max_nb_chars=200),
+                    graph_id=graph["id"],  # Fixed field name
+                    graph_version=graph.get("version", 1),  # Fixed field name
+                    inputs={},  # Required field - empty inputs for test data
+                    credentials={},  # Required field - empty credentials for test data
+                    is_active=True,
+                )
+
+                try:
+                    # Use the API function to create preset
+                    preset = await create_preset(user["id"], preset_data)
+                    presets.append(preset.model_dump())
+                except Exception as e:
+                    print(f"Error creating preset: {e}")
+                    continue
+
+        self.presets = presets
+        return presets
+
+    async def create_test_api_keys(self) -> List[Dict[str, Any]]:
+        """Create test API keys using the API function."""
+        print("Creating test API keys...")
+
+        api_keys = []
+        for user in self.users:
+            from backend.data.api_key import APIKeyPermission
+
+            try:
+                # Use the API function to create API key
+                api_key, _ = await generate_api_key(
+                    name=faker.word(),
+                    user_id=user["id"],
+                    permissions=[
+                        APIKeyPermission.EXECUTE_GRAPH,
+                        APIKeyPermission.READ_GRAPH,
+                    ],
+                    description=faker.text(),
+                )
+                api_keys.append(api_key.model_dump())
+            except Exception as e:
+                print(f"Error creating API key for user {user['id']}: {e}")
+                continue
+
+        self.api_keys = api_keys
+        return api_keys
+
+    async def update_test_profiles(self) -> List[Dict[str, Any]]:
+        """Update existing user profiles to make some into featured creators."""
+        print("Updating user profiles to create featured creators...")
+
+        # Get all existing profiles (auto-created when users were created)
+        existing_profiles = await prisma.profile.find_many(
+            where={"userId": {"in": [user["id"] for user in self.users]}}
+        )
+
+        if not existing_profiles:
+            print("No existing profiles found. Profiles may not be auto-created.")
+            return []
+
+        profiles = []
+        # Select about 70% of users to become creators (update their profiles)
+        num_creators = max(1, int(len(existing_profiles) * 0.7))
+        selected_profiles = random.sample(
+            existing_profiles, min(num_creators, len(existing_profiles))
+        )
+
+        # Mark about 50% of creators as featured (more for testing)
+        num_featured = max(2, int(num_creators * 0.5))
+        num_featured = min(
+            num_featured, len(selected_profiles)
+        )  # Don't exceed available profiles
+        featured_profile_ids = set(
+            random.sample([p.id for p in selected_profiles], num_featured)
+        )
+
+        for profile in selected_profiles:
+            try:
+                is_featured = profile.id in featured_profile_ids
+
+                # Update the profile with creator data
+                updated_profile = await prisma.profile.update(
+                    where={"id": profile.id},
+                    data={
+                        "name": faker.name(),
+                        "username": faker.user_name()
+                        + str(random.randint(100, 999)),  # Ensure uniqueness
+                        "description": faker.text(max_nb_chars=200),
+                        "links": [faker.url() for _ in range(random.randint(1, 3))],
+                        "avatarUrl": get_image(),
+                        "isFeatured": is_featured,
+                    },
+                )
+
+                if updated_profile:
+                    profiles.append(updated_profile.model_dump())
+
+            except Exception as e:
+                print(f"Error updating profile {profile.id}: {e}")
+                continue
+
+        self.profiles = profiles
+        return profiles
+
+    async def create_test_store_submissions(self) -> List[Dict[str, Any]]:
+        """Create test store submissions using the API function."""
+        print("Creating test store submissions...")
+
+        submissions = []
+        approved_submissions = []
+
+        # Create a special test submission for test123@gmail.com
+        test_user = next(
+            (user for user in self.users if user["email"] == "test123@gmail.com"), None
+        )
+        if test_user:
+            # Special test data for consistent testing
+            test_submission_data = {
+                "user_id": test_user["id"],
+                "agent_id": self.agent_graphs[0]["id"],  # Use first available graph
+                "agent_version": 1,
+                "slug": "test-agent-submission",
+                "name": "Test Agent Submission",
+                "sub_heading": "A test agent for frontend testing",
+                "video_url": "https://www.youtube.com/watch?v=test123",
+                "image_urls": [
+                    "https://picsum.photos/200/300",
+                    "https://picsum.photos/200/301",
+                    "https://picsum.photos/200/302",
+                ],
+                "description": "This is a test agent submission specifically created for frontend testing purposes.",
+                "categories": ["test", "demo", "frontend"],
+                "changes_summary": "Initial test submission",
+            }
+
+            try:
+                test_submission = await create_store_submission(**test_submission_data)
+                submissions.append(test_submission.model_dump())
+                print("✅ Created special test store submission for test123@gmail.com")
+
+                # Randomly approve, reject, or leave pending the test submission
+                if test_submission.store_listing_version_id:
+                    random_value = random.random()
+                    if random_value < 0.4:  # 40% chance to approve
+                        approved_submission = await review_store_submission(
+                            store_listing_version_id=test_submission.store_listing_version_id,
+                            is_approved=True,
+                            external_comments="Test submission approved",
+                            internal_comments="Auto-approved test submission",
+                            reviewer_id=test_user["id"],
+                        )
+                        approved_submissions.append(approved_submission.model_dump())
+                        print("✅ Approved test store submission")
+
+                        # Mark approved submission as featured
+                        await prisma.storelistingversion.update(
+                            where={"id": test_submission.store_listing_version_id},
+                            data={"isFeatured": True},
+                        )
+                        print("🌟 Marked test agent as FEATURED")
+                    elif random_value < 0.7:  # 30% chance to reject (40% to 70%)
+                        await review_store_submission(
+                            store_listing_version_id=test_submission.store_listing_version_id,
+                            is_approved=False,
+                            external_comments="Test submission rejected - needs improvements",
+                            internal_comments="Auto-rejected test submission for E2E testing",
+                            reviewer_id=test_user["id"],
+                        )
+                        print("❌ Rejected test store submission")
+                    else:  # 30% chance to leave pending (70% to 100%)
+                        print("⏳ Left test submission pending for review")
+
+            except Exception as e:
+                print(f"Error creating test store submission: {e}")
+                import traceback
+
+                traceback.print_exc()
+
+        # Create regular submissions for all users
+        for user in self.users:
+            # Get available graphs for this specific user
+            user_graphs = [
+                g for g in self.agent_graphs if g.get("userId") == user["id"]
+            ]
+            print(f"User {user['id']} has {len(user_graphs)} graphs")
+            if not user_graphs:
+                print(
+                    f"No graphs found for user {user['id']}, skipping store submissions"
+                )
+                continue
+
+            # Create exactly 4 store submissions per user
+            for submission_index in range(4):
+                graph = random.choice(user_graphs)
+
+                try:
+                    print(
+                        f"Creating store submission for user {user['id']} with graph {graph['id']} (owner: {graph.get('userId')})"
+                    )
+
+                    # Use the API function to create store submission with correct parameters
+                    submission = await create_store_submission(
+                        user_id=user["id"],  # Must match graph's userId
+                        agent_id=graph["id"],
+                        agent_version=graph.get("version", 1),
+                        slug=faker.slug(),
+                        name=graph.get("name", faker.sentence(nb_words=3)),
+                        sub_heading=faker.sentence(),
+                        video_url=get_video_url() if random.random() < 0.3 else None,
+                        image_urls=[get_image() for _ in range(3)],
+                        description=faker.text(),
+                        categories=[
+                            get_category()
+                        ],  # Single category from predefined list
+                        changes_summary="Initial E2E test submission",
+                    )
+                    submissions.append(submission.model_dump())
+                    print(f"✅ Created store submission: {submission.name}")
+
+                    # Randomly approve, reject, or leave pending the submission
+                    if submission.store_listing_version_id:
+                        random_value = random.random()
+                        if random_value < 0.4:  # 40% chance to approve
+                            try:
+                                # Pick a random user as the reviewer (admin)
+                                reviewer_id = random.choice(self.users)["id"]
+
+                                approved_submission = await review_store_submission(
+                                    store_listing_version_id=submission.store_listing_version_id,
+                                    is_approved=True,
+                                    external_comments="Auto-approved for E2E testing",
+                                    internal_comments="Automatically approved by E2E test data script",
+                                    reviewer_id=reviewer_id,
+                                )
+                                approved_submissions.append(
+                                    approved_submission.model_dump()
+                                )
+                                print(
+                                    f"✅ Approved store submission: {submission.name}"
+                                )
+
+                                # Mark some agents as featured during creation (30% chance)
+                                # More likely for creators and first submissions
+                                is_creator = user["id"] in [
+                                    p.get("userId") for p in self.profiles
+                                ]
+                                feature_chance = (
+                                    0.5 if is_creator else 0.2
+                                )  # 50% for creators, 20% for others
+
+                                if random.random() < feature_chance:
+                                    try:
+                                        await prisma.storelistingversion.update(
+                                            where={
+                                                "id": submission.store_listing_version_id
+                                            },
+                                            data={"isFeatured": True},
+                                        )
+                                        print(
+                                            f"🌟 Marked agent as FEATURED: {submission.name}"
+                                        )
+                                    except Exception as e:
+                                        print(
+                                            f"Warning: Could not mark submission as featured: {e}"
+                                        )
+
+                            except Exception as e:
+                                print(
+                                    f"Warning: Could not approve submission {submission.name}: {e}"
+                                )
+                        elif random_value < 0.7:  # 30% chance to reject (40% to 70%)
+                            try:
+                                # Pick a random user as the reviewer (admin)
+                                reviewer_id = random.choice(self.users)["id"]
+
+                                await review_store_submission(
+                                    store_listing_version_id=submission.store_listing_version_id,
+                                    is_approved=False,
+                                    external_comments="Submission rejected - needs improvements",
+                                    internal_comments="Automatically rejected by E2E test data script",
+                                    reviewer_id=reviewer_id,
+                                )
+                                print(
+                                    f"❌ Rejected store submission: {submission.name}"
+                                )
+                            except Exception as e:
+                                print(
+                                    f"Warning: Could not reject submission {submission.name}: {e}"
+                                )
+                        else:  # 30% chance to leave pending (70% to 100%)
+                            print(
+                                f"⏳ Left submission pending for review: {submission.name}"
+                            )
+
+                except Exception as e:
+                    print(
+                        f"Error creating store submission for user {user['id']} graph {graph['id']}: {e}"
+                    )
+                    import traceback
+
+                    traceback.print_exc()
+                    continue
+
+        print(
+            f"Created {len(submissions)} store submissions, approved {len(approved_submissions)}"
+        )
+        self.store_submissions = submissions
+        return submissions
+
+    async def add_user_credits(self):
+        """Add credits to users."""
+        print("Adding credits to users...")
+
+        credit_model = get_user_credit_model()
+
+        for user in self.users:
+            try:
+                # Skip credits for disabled credit model to avoid errors
+                if (
+                    hasattr(credit_model, "__class__")
+                    and "Disabled" in credit_model.__class__.__name__
+                ):
+                    print(f"Skipping credits for user {user['id']} - credits disabled")
+                    continue
+
+                # Add random credits to each user
+                credit_amount = random.randint(100, 1000)
+
+                await credit_model.top_up_credits(
+                    user_id=user["id"], amount=credit_amount
+                )
+                print(f"Added {credit_amount} credits to user {user['id']}")
+            except Exception:
+                print(
+                    f"Skipping credits for user {user['id']}: credits may be disabled"
+                )
+                continue
+
+    async def create_all_test_data(self):
+        """Create all test data."""
+        print("Starting E2E test data creation...")
+
+        # Create users first
+        await self.create_test_users()
+
+        # Get available blocks
+        await self.get_available_blocks()
+
+        # Create graphs
+        await self.create_test_graphs()
+
+        # Create library agents
+        await self.create_test_library_agents()
+
+        # Create presets
+        await self.create_test_presets()
+
+        # Create API keys
+        await self.create_test_api_keys()
+
+        # Update user profiles to create featured creators
+        await self.update_test_profiles()
+
+        # Create store submissions
+        await self.create_test_store_submissions()
+
+        # Add user credits
+        await self.add_user_credits()
+
+        # Refresh materialized views
+        print("Refreshing materialized views...")
+        try:
+            await prisma.execute_raw("SELECT refresh_store_materialized_views();")
+        except Exception as e:
+            print(f"Error refreshing materialized views: {e}")
+
+        print("E2E test data creation completed successfully!")
+
+        # Print summary
+        print("\n🎉 E2E Test Data Creation Summary:")
+        print(f"✅ Users created: {len(self.users)}")
+        print(f"✅ Agent blocks available: {len(self.agent_blocks)}")
+        print(f"✅ Agent graphs created: {len(self.agent_graphs)}")
+        print(f"✅ Library agents created: {len(self.library_agents)}")
+        print(f"✅ Creator profiles updated: {len(self.profiles)} (some featured)")
+        print(
+            f"✅ Store submissions created: {len(self.store_submissions)} (some marked as featured during creation)"
+        )
+        print(f"✅ API keys created: {len(self.api_keys)}")
+        print(f"✅ Presets created: {len(self.presets)}")
+        print("\n🚀 Your E2E test database is ready to use!")
+
+
+async def main():
+    """Main function to run the test data creation."""
+    # Connect to database
+    await prisma.connect()
+
+    try:
+        creator = TestDataCreator()
+        await creator.create_all_test_data()
+    finally:
+        # Disconnect from database
+        await prisma.disconnect()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/autogpt_platform/backend/test/executor/test_manager.py b/autogpt_platform/backend/test/executor/test_manager.py
deleted file mode 100644
index b9dad8895469..000000000000
--- a/autogpt_platform/backend/test/executor/test_manager.py
+++ /dev/null
@@ -1,289 +0,0 @@
-import logging
-
-import pytest
-from prisma.models import User
-
-from backend.blocks.basic import FindInDictionaryBlock, StoreValueBlock
-from backend.blocks.maths import CalculatorBlock, Operation
-from backend.data import execution, graph
-from backend.server.model import CreateGraph
-from backend.server.rest_api import AgentServer
-from backend.usecases.sample import create_test_graph, create_test_user
-from backend.util.test import SpinTestServer, wait_execution
-
-logger = logging.getLogger(__name__)
-
-
-async def create_graph(s: SpinTestServer, g: graph.Graph, u: User) -> graph.Graph:
-    logger.info(f"Creating graph for user {u.id}")
-    return await s.agent_server.test_create_graph(CreateGraph(graph=g), u.id)
-
-
-async def execute_graph(
-    agent_server: AgentServer,
-    test_graph: graph.Graph,
-    test_user: User,
-    input_data: dict,
-    num_execs: int = 4,
-) -> str:
-    logger.info(f"Executing graph {test_graph.id} for user {test_user.id}")
-    logger.info(f"Input data: {input_data}")
-
-    # --- Test adding new executions --- #
-    response = await agent_server.test_execute_graph(
-        test_graph.id, input_data, test_user.id
-    )
-    graph_exec_id = response["id"]
-    logger.info(f"Created execution with ID: {graph_exec_id}")
-
-    # Execution queue should be empty
-    logger.info("Waiting for execution to complete...")
-    result = await wait_execution(test_user.id, test_graph.id, graph_exec_id)
-    logger.info(f"Execution completed with {len(result)} results")
-    assert result and len(result) == num_execs
-    return graph_exec_id
-
-
-async def assert_sample_graph_executions(
-    agent_server: AgentServer,
-    test_graph: graph.Graph,
-    test_user: User,
-    graph_exec_id: str,
-):
-    logger.info(f"Checking execution results for graph {test_graph.id}")
-    executions = await agent_server.test_get_graph_run_node_execution_results(
-        test_graph.id,
-        graph_exec_id,
-        test_user.id,
-    )
-
-    output_list = [{"result": ["Hello"]}, {"result": ["World"]}]
-    input_list = [
-        {
-            "name": "input_1",
-            "value": "Hello",
-        },
-        {
-            "name": "input_2",
-            "value": "World",
-        },
-    ]
-
-    # Executing StoreValueBlock
-    exec = executions[0]
-    logger.info(f"Checking first StoreValueBlock execution: {exec}")
-    assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.graph_exec_id == graph_exec_id
-    assert (
-        exec.output_data in output_list
-    ), f"Output data: {exec.output_data} and {output_list}"
-    assert (
-        exec.input_data in input_list
-    ), f"Input data: {exec.input_data} and {input_list}"
-    assert exec.node_id in [test_graph.nodes[0].id, test_graph.nodes[1].id]
-
-    # Executing StoreValueBlock
-    exec = executions[1]
-    logger.info(f"Checking second StoreValueBlock execution: {exec}")
-    assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.graph_exec_id == graph_exec_id
-    assert (
-        exec.output_data in output_list
-    ), f"Output data: {exec.output_data} and {output_list}"
-    assert (
-        exec.input_data in input_list
-    ), f"Input data: {exec.input_data} and {input_list}"
-    assert exec.node_id in [test_graph.nodes[0].id, test_graph.nodes[1].id]
-
-    # Executing FillTextTemplateBlock
-    exec = executions[2]
-    logger.info(f"Checking FillTextTemplateBlock execution: {exec}")
-    assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.graph_exec_id == graph_exec_id
-    assert exec.output_data == {"output": ["Hello, World!!!"]}
-    assert exec.input_data == {
-        "format": "{a}, {b}{c}",
-        "values": {"a": "Hello", "b": "World", "c": "!!!"},
-        "values_#_a": "Hello",
-        "values_#_b": "World",
-        "values_#_c": "!!!",
-    }
-    assert exec.node_id == test_graph.nodes[2].id
-
-    # Executing PrintToConsoleBlock
-    exec = executions[3]
-    logger.info(f"Checking PrintToConsoleBlock execution: {exec}")
-    assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.graph_exec_id == graph_exec_id
-    assert exec.output_data == {"status": ["printed"]}
-    assert exec.input_data == {"text": "Hello, World!!!"}
-    assert exec.node_id == test_graph.nodes[3].id
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_agent_execution(server: SpinTestServer):
-    logger.info("Starting test_agent_execution")
-    test_user = await create_test_user()
-    test_graph = await create_graph(server, create_test_graph(), test_user)
-    data = {"input_1": "Hello", "input_2": "World"}
-    graph_exec_id = await execute_graph(
-        server.agent_server,
-        test_graph,
-        test_user,
-        data,
-        4,
-    )
-    await assert_sample_graph_executions(
-        server.agent_server, test_graph, test_user, graph_exec_id
-    )
-    logger.info("Completed test_agent_execution")
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_input_pin_always_waited(server: SpinTestServer):
-    """
-    This test is asserting that the input pin should always be waited for the execution,
-    even when default value on that pin is defined, the value has to be ignored.
-
-    Test scenario:
-    StoreValueBlock1
-                \\ input
-                     >------- FindInDictionaryBlock | input_default: key: "", input: {}
-                // key
-    StoreValueBlock2
-    """
-    logger.info("Starting test_input_pin_always_waited")
-    nodes = [
-        graph.Node(
-            block_id=StoreValueBlock().id,
-            input_default={"input": {"key1": "value1", "key2": "value2"}},
-        ),
-        graph.Node(
-            block_id=StoreValueBlock().id,
-            input_default={"input": "key2"},
-        ),
-        graph.Node(
-            block_id=FindInDictionaryBlock().id,
-            input_default={"key": "", "input": {}},
-        ),
-    ]
-    links = [
-        graph.Link(
-            source_id=nodes[0].id,
-            sink_id=nodes[2].id,
-            source_name="output",
-            sink_name="input",
-        ),
-        graph.Link(
-            source_id=nodes[1].id,
-            sink_id=nodes[2].id,
-            source_name="output",
-            sink_name="key",
-        ),
-    ]
-    test_graph = graph.Graph(
-        name="TestGraph",
-        description="Test graph",
-        nodes=nodes,
-        links=links,
-    )
-    test_user = await create_test_user()
-    test_graph = await create_graph(server, test_graph, test_user)
-    graph_exec_id = await execute_graph(
-        server.agent_server, test_graph, test_user, {}, 3
-    )
-
-    logger.info("Checking execution results")
-    executions = await server.agent_server.test_get_graph_run_node_execution_results(
-        test_graph.id, graph_exec_id, test_user.id
-    )
-    assert len(executions) == 3
-    # FindInDictionaryBlock should wait for the input pin to be provided,
-    # Hence executing extraction of "key" from {"key1": "value1", "key2": "value2"}
-    assert executions[2].status == execution.ExecutionStatus.COMPLETED
-    assert executions[2].output_data == {"output": ["value2"]}
-    logger.info("Completed test_input_pin_always_waited")
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_static_input_link_on_graph(server: SpinTestServer):
-    """
-    This test is asserting the behaviour of static input link, e.g: reusable input link.
-
-    Test scenario:
-    *StoreValueBlock1*===a=========\\
-    *StoreValueBlock2*===a=====\\  ||
-    *StoreValueBlock3*===a===*MathBlock*====b / static====*StoreValueBlock5*
-    *StoreValueBlock4*=========================================//
-
-    In this test, there will be three input waiting in the MathBlock input pin `a`.
-    And later, another output is produced on input pin `b`, which is a static link,
-    this input will complete the input of those three incomplete executions.
-    """
-    logger.info("Starting test_static_input_link_on_graph")
-    nodes = [
-        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 4}),  # a
-        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 4}),  # a
-        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 4}),  # a
-        graph.Node(block_id=StoreValueBlock().id, input_default={"input": 5}),  # b
-        graph.Node(block_id=StoreValueBlock().id),
-        graph.Node(
-            block_id=CalculatorBlock().id,
-            input_default={"operation": Operation.ADD.value},
-        ),
-    ]
-    links = [
-        graph.Link(
-            source_id=nodes[0].id,
-            sink_id=nodes[5].id,
-            source_name="output",
-            sink_name="a",
-        ),
-        graph.Link(
-            source_id=nodes[1].id,
-            sink_id=nodes[5].id,
-            source_name="output",
-            sink_name="a",
-        ),
-        graph.Link(
-            source_id=nodes[2].id,
-            sink_id=nodes[5].id,
-            source_name="output",
-            sink_name="a",
-        ),
-        graph.Link(
-            source_id=nodes[3].id,
-            sink_id=nodes[4].id,
-            source_name="output",
-            sink_name="input",
-        ),
-        graph.Link(
-            source_id=nodes[4].id,
-            sink_id=nodes[5].id,
-            source_name="output",
-            sink_name="b",
-            is_static=True,  # This is the static link to test.
-        ),
-    ]
-    test_graph = graph.Graph(
-        name="TestGraph",
-        description="Test graph",
-        nodes=nodes,
-        links=links,
-    )
-    test_user = await create_test_user()
-    test_graph = await create_graph(server, test_graph, test_user)
-    graph_exec_id = await execute_graph(
-        server.agent_server, test_graph, test_user, {}, 8
-    )
-    logger.info("Checking execution results")
-    executions = await server.agent_server.test_get_graph_run_node_execution_results(
-        test_graph.id, graph_exec_id, test_user.id
-    )
-    assert len(executions) == 8
-    # The last 3 executions will be a+b=4+5=9
-    for i, exec_data in enumerate(executions[-3:]):
-        logger.info(f"Checking execution {i+1} of last 3: {exec_data}")
-        assert exec_data.status == execution.ExecutionStatus.COMPLETED
-        assert exec_data.output_data == {"result": [9]}
-    logger.info("Completed test_static_input_link_on_graph")
diff --git a/autogpt_platform/backend/test/executor/test_scheduler.py b/autogpt_platform/backend/test/executor/test_scheduler.py
deleted file mode 100644
index 5e9fbc2bc9a6..000000000000
--- a/autogpt_platform/backend/test/executor/test_scheduler.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import pytest
-
-from backend.data import db
-from backend.executor import ExecutionScheduler
-from backend.server.model import CreateGraph
-from backend.usecases.sample import create_test_graph, create_test_user
-from backend.util.service import get_service_client
-from backend.util.test import SpinTestServer
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_agent_schedule(server: SpinTestServer):
-    await db.connect()
-    test_user = await create_test_user()
-    test_graph = await server.agent_server.test_create_graph(
-        create_graph=CreateGraph(graph=create_test_graph()),
-        user_id=test_user.id,
-    )
-
-    scheduler = get_service_client(ExecutionScheduler)
-    schedules = scheduler.get_execution_schedules(test_graph.id, test_user.id)
-    assert len(schedules) == 0
-
-    schedule = scheduler.add_execution_schedule(
-        graph_id=test_graph.id,
-        user_id=test_user.id,
-        graph_version=1,
-        cron="0 0 * * *",
-        input_data={"input": "data"},
-    )
-    assert schedule
-
-    schedules = scheduler.get_execution_schedules(test_graph.id, test_user.id)
-    assert len(schedules) == 1
-    assert schedules[0].cron == "0 0 * * *"
-
-    scheduler.delete_schedule(schedule.id, user_id=test_user.id)
-    schedules = scheduler.get_execution_schedules(test_graph.id, user_id=test_user.id)
-    assert len(schedules) == 0
diff --git a/autogpt_platform/backend/test/sdk/__init__.py b/autogpt_platform/backend/test/sdk/__init__.py
new file mode 100644
index 000000000000..9e1b3b181d1e
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/__init__.py
@@ -0,0 +1 @@
+"""SDK test module."""
diff --git a/autogpt_platform/backend/test/sdk/_config.py b/autogpt_platform/backend/test/sdk/_config.py
new file mode 100644
index 000000000000..e64450a6f441
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/_config.py
@@ -0,0 +1,20 @@
+"""
+Shared configuration for SDK test providers using the SDK pattern.
+"""
+
+from backend.sdk import BlockCostType, ProviderBuilder
+
+# Configure test providers
+test_api = (
+    ProviderBuilder("test_api")
+    .with_api_key("TEST_API_KEY", "Test API Key")
+    .with_base_cost(5, BlockCostType.RUN)
+    .build()
+)
+
+test_service = (
+    ProviderBuilder("test_service")
+    .with_api_key("TEST_SERVICE_API_KEY", "Test Service API Key")
+    .with_base_cost(10, BlockCostType.RUN)
+    .build()
+)
diff --git a/autogpt_platform/backend/test/sdk/conftest.py b/autogpt_platform/backend/test/sdk/conftest.py
new file mode 100644
index 000000000000..8fa43a5bc08c
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/conftest.py
@@ -0,0 +1,29 @@
+"""
+Configuration for SDK tests.
+
+This conftest.py file provides basic test setup for SDK unit tests
+without requiring the full server infrastructure.
+"""
+
+from unittest.mock import MagicMock
+
+import pytest
+
+
+@pytest.fixture(scope="session")
+def server():
+    """Mock server fixture for SDK tests."""
+    mock_server = MagicMock()
+    mock_server.agent_server = MagicMock()
+    mock_server.agent_server.test_create_graph = MagicMock()
+    return mock_server
+
+
+@pytest.fixture(autouse=True)
+def reset_registry():
+    """Reset the AutoRegistry before each test."""
+    from backend.sdk.registry import AutoRegistry
+
+    AutoRegistry.clear()
+    yield
+    AutoRegistry.clear()
diff --git a/autogpt_platform/backend/test/sdk/test_sdk_block_creation.py b/autogpt_platform/backend/test/sdk/test_sdk_block_creation.py
new file mode 100644
index 000000000000..bb26913e566b
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/test_sdk_block_creation.py
@@ -0,0 +1,914 @@
+"""
+Tests for creating blocks using the SDK.
+
+This test suite verifies that blocks can be created using only SDK imports
+and that they work correctly without decorators.
+"""
+
+from typing import Any, Optional, Union
+
+import pytest
+
+from backend.sdk import (
+    APIKeyCredentials,
+    Block,
+    BlockCategory,
+    BlockCostType,
+    BlockOutput,
+    BlockSchema,
+    CredentialsMetaInput,
+    OAuth2Credentials,
+    ProviderBuilder,
+    SchemaField,
+    SecretStr,
+)
+
+from ._config import test_api, test_service
+
+
+class TestBasicBlockCreation:
+    """Test creating basic blocks using the SDK."""
+
+    @pytest.mark.asyncio
+    async def test_simple_block(self):
+        """Test creating a simple block without any decorators."""
+
+        class SimpleBlock(Block):
+            """A simple test block."""
+
+            class Input(BlockSchema):
+                text: str = SchemaField(description="Input text")
+                count: int = SchemaField(description="Repeat count", default=1)
+
+            class Output(BlockSchema):
+                result: str = SchemaField(description="Output result")
+
+            def __init__(self):
+                super().__init__(
+                    id="simple-test-block",
+                    description="A simple test block",
+                    categories={BlockCategory.TEXT},
+                    input_schema=SimpleBlock.Input,
+                    output_schema=SimpleBlock.Output,
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                result = input_data.text * input_data.count
+                yield "result", result
+
+        # Create and test the block
+        block = SimpleBlock()
+        assert block.id == "simple-test-block"
+        assert BlockCategory.TEXT in block.categories
+
+        # Test execution
+        outputs = []
+        async for name, value in block.run(
+            SimpleBlock.Input(text="Hello ", count=3),
+        ):
+            outputs.append((name, value))
+        assert len(outputs) == 1
+        assert outputs[0] == ("result", "Hello Hello Hello ")
+
+    @pytest.mark.asyncio
+    async def test_block_with_credentials(self):
+        """Test creating a block that requires credentials."""
+
+        class APIBlock(Block):
+            """A block that requires API credentials."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = test_api.credentials_field(
+                    description="API credentials for test service",
+                )
+                query: str = SchemaField(description="API query")
+
+            class Output(BlockSchema):
+                response: str = SchemaField(description="API response")
+                authenticated: bool = SchemaField(description="Was authenticated")
+
+            def __init__(self):
+                super().__init__(
+                    id="api-test-block",
+                    description="Test block with API credentials",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=APIBlock.Input,
+                    output_schema=APIBlock.Output,
+                )
+
+            async def run(
+                self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+            ) -> BlockOutput:
+                # Simulate API call
+                api_key = credentials.api_key.get_secret_value()
+                authenticated = bool(api_key)
+
+                yield "response", f"API response for: {input_data.query}"
+                yield "authenticated", authenticated
+
+        # Create test credentials
+        test_creds = APIKeyCredentials(
+            id="test-creds",
+            provider="test_api",
+            api_key=SecretStr("test-api-key"),
+            title="Test API Key",
+        )
+
+        # Create and test the block
+        block = APIBlock()
+        outputs = []
+        async for name, value in block.run(
+            APIBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "test_api",
+                    "id": "test-creds",
+                    "type": "api_key",
+                },
+                query="test query",
+            ),
+            credentials=test_creds,
+        ):
+            outputs.append((name, value))
+
+        assert len(outputs) == 2
+        assert outputs[0] == ("response", "API response for: test query")
+        assert outputs[1] == ("authenticated", True)
+
+    @pytest.mark.asyncio
+    async def test_block_with_multiple_outputs(self):
+        """Test block that yields multiple outputs."""
+
+        class MultiOutputBlock(Block):
+            """Block with multiple outputs."""
+
+            class Input(BlockSchema):
+                text: str = SchemaField(description="Input text")
+
+            class Output(BlockSchema):
+                uppercase: str = SchemaField(description="Uppercase version")
+                lowercase: str = SchemaField(description="Lowercase version")
+                length: int = SchemaField(description="Text length")
+                is_empty: bool = SchemaField(description="Is text empty")
+
+            def __init__(self):
+                super().__init__(
+                    id="multi-output-block",
+                    description="Block with multiple outputs",
+                    categories={BlockCategory.TEXT},
+                    input_schema=MultiOutputBlock.Input,
+                    output_schema=MultiOutputBlock.Output,
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                text = input_data.text
+                yield "uppercase", text.upper()
+                yield "lowercase", text.lower()
+                yield "length", len(text)
+                yield "is_empty", len(text) == 0
+
+        # Test the block
+        block = MultiOutputBlock()
+        outputs = []
+        async for name, value in block.run(MultiOutputBlock.Input(text="Hello World")):
+            outputs.append((name, value))
+
+        assert len(outputs) == 4
+        assert ("uppercase", "HELLO WORLD") in outputs
+        assert ("lowercase", "hello world") in outputs
+        assert ("length", 11) in outputs
+        assert ("is_empty", False) in outputs
+
+
+class TestBlockWithProvider:
+    """Test creating blocks associated with providers."""
+
+    @pytest.mark.asyncio
+    async def test_block_using_provider(self):
+        """Test block that uses a registered provider."""
+
+        class TestServiceBlock(Block):
+            """Block for test service."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = test_service.credentials_field(
+                    description="Test service credentials",
+                )
+                action: str = SchemaField(description="Action to perform")
+
+            class Output(BlockSchema):
+                result: str = SchemaField(description="Action result")
+                provider_name: str = SchemaField(description="Provider used")
+
+            def __init__(self):
+                super().__init__(
+                    id="test-service-block",
+                    description="Block using test service provider",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=TestServiceBlock.Input,
+                    output_schema=TestServiceBlock.Output,
+                )
+
+            async def run(
+                self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+            ) -> BlockOutput:
+                # The provider name should match
+                yield "result", f"Performed: {input_data.action}"
+                yield "provider_name", credentials.provider
+
+        # Create credentials for our provider
+        creds = APIKeyCredentials(
+            id="test-service-creds",
+            provider="test_service",
+            api_key=SecretStr("test-key"),
+            title="Test Service Key",
+        )
+
+        # Test the block
+        block = TestServiceBlock()
+        outputs = {}
+        async for name, value in block.run(
+            TestServiceBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "test_service",
+                    "id": "test-service-creds",
+                    "type": "api_key",
+                },
+                action="test action",
+            ),
+            credentials=creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["result"] == "Performed: test action"
+        assert outputs["provider_name"] == "test_service"
+
+
+class TestComplexBlockScenarios:
+    """Test more complex block scenarios."""
+
+    @pytest.mark.asyncio
+    async def test_block_with_optional_fields(self):
+        """Test block with optional input fields."""
+        # Optional is already imported at the module level
+
+        class OptionalFieldBlock(Block):
+            """Block with optional fields."""
+
+            class Input(BlockSchema):
+                required_field: str = SchemaField(description="Required field")
+                optional_field: Optional[str] = SchemaField(
+                    description="Optional field",
+                    default=None,
+                )
+                optional_with_default: str = SchemaField(
+                    description="Optional with default",
+                    default="default value",
+                )
+
+            class Output(BlockSchema):
+                has_optional: bool = SchemaField(description="Has optional value")
+                optional_value: Optional[str] = SchemaField(
+                    description="Optional value"
+                )
+                default_value: str = SchemaField(description="Default value")
+
+            def __init__(self):
+                super().__init__(
+                    id="optional-field-block",
+                    description="Block with optional fields",
+                    categories={BlockCategory.TEXT},
+                    input_schema=OptionalFieldBlock.Input,
+                    output_schema=OptionalFieldBlock.Output,
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                yield "has_optional", input_data.optional_field is not None
+                yield "optional_value", input_data.optional_field
+                yield "default_value", input_data.optional_with_default
+
+        # Test with optional field provided
+        block = OptionalFieldBlock()
+        outputs = {}
+        async for name, value in block.run(
+            OptionalFieldBlock.Input(
+                required_field="test",
+                optional_field="provided",
+            )
+        ):
+            outputs[name] = value
+
+        assert outputs["has_optional"] is True
+        assert outputs["optional_value"] == "provided"
+        assert outputs["default_value"] == "default value"
+
+        # Test without optional field
+        outputs = {}
+        async for name, value in block.run(
+            OptionalFieldBlock.Input(
+                required_field="test",
+            )
+        ):
+            outputs[name] = value
+
+        assert outputs["has_optional"] is False
+        assert outputs["optional_value"] is None
+        assert outputs["default_value"] == "default value"
+
+    @pytest.mark.asyncio
+    async def test_block_with_complex_types(self):
+        """Test block with complex input/output types."""
+
+        class ComplexBlock(Block):
+            """Block with complex types."""
+
+            class Input(BlockSchema):
+                items: list[str] = SchemaField(description="List of items")
+                mapping: dict[str, int] = SchemaField(
+                    description="String to int mapping"
+                )
+
+            class Output(BlockSchema):
+                item_count: int = SchemaField(description="Number of items")
+                total_value: int = SchemaField(description="Sum of mapping values")
+                combined: list[str] = SchemaField(description="Combined results")
+
+            def __init__(self):
+                super().__init__(
+                    id="complex-types-block",
+                    description="Block with complex types",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=ComplexBlock.Input,
+                    output_schema=ComplexBlock.Output,
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                yield "item_count", len(input_data.items)
+                yield "total_value", sum(input_data.mapping.values())
+
+                # Combine items with their mapping values
+                combined = []
+                for item in input_data.items:
+                    value = input_data.mapping.get(item, 0)
+                    combined.append(f"{item}: {value}")
+
+                yield "combined", combined
+
+        # Test the block
+        block = ComplexBlock()
+        outputs = {}
+        async for name, value in block.run(
+            ComplexBlock.Input(
+                items=["apple", "banana", "orange"],
+                mapping={"apple": 5, "banana": 3, "orange": 4},
+            )
+        ):
+            outputs[name] = value
+
+        assert outputs["item_count"] == 3
+        assert outputs["total_value"] == 12
+        assert outputs["combined"] == ["apple: 5", "banana: 3", "orange: 4"]
+
+    @pytest.mark.asyncio
+    async def test_block_error_handling(self):
+        """Test block error handling."""
+
+        class ErrorHandlingBlock(Block):
+            """Block that demonstrates error handling."""
+
+            class Input(BlockSchema):
+                value: int = SchemaField(description="Input value")
+                should_error: bool = SchemaField(
+                    description="Whether to trigger an error",
+                    default=False,
+                )
+
+            class Output(BlockSchema):
+                result: int = SchemaField(description="Result")
+                error_message: Optional[str] = SchemaField(
+                    description="Error if any", default=None
+                )
+
+            def __init__(self):
+                super().__init__(
+                    id="error-handling-block",
+                    description="Block with error handling",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=ErrorHandlingBlock.Input,
+                    output_schema=ErrorHandlingBlock.Output,
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                if input_data.should_error:
+                    raise ValueError("Intentional error triggered")
+
+                if input_data.value < 0:
+                    yield "error_message", "Value must be non-negative"
+                    yield "result", 0
+                else:
+                    yield "result", input_data.value * 2
+                    yield "error_message", None
+
+        # Test normal operation
+        block = ErrorHandlingBlock()
+        outputs = {}
+        async for name, value in block.run(
+            ErrorHandlingBlock.Input(value=5, should_error=False)
+        ):
+            outputs[name] = value
+
+        assert outputs["result"] == 10
+        assert outputs["error_message"] is None
+
+        # Test with negative value
+        outputs = {}
+        async for name, value in block.run(
+            ErrorHandlingBlock.Input(value=-5, should_error=False)
+        ):
+            outputs[name] = value
+
+        assert outputs["result"] == 0
+        assert outputs["error_message"] == "Value must be non-negative"
+
+        # Test with error
+        with pytest.raises(ValueError, match="Intentional error triggered"):
+            async for _ in block.run(
+                ErrorHandlingBlock.Input(value=5, should_error=True)
+            ):
+                pass
+
+
+class TestAuthenticationVariants:
+    """Test complex authentication scenarios including OAuth, API keys, and scopes."""
+
+    @pytest.mark.asyncio
+    async def test_oauth_block_with_scopes(self):
+        """Test creating a block that uses OAuth2 with scopes."""
+        from backend.sdk import OAuth2Credentials, ProviderBuilder
+
+        # Create a test OAuth provider with scopes
+        # For testing, we don't need an actual OAuth handler
+        # In real usage, you would provide a proper OAuth handler class
+        oauth_provider = (
+            ProviderBuilder("test_oauth_provider")
+            .with_api_key("TEST_OAUTH_API", "Test OAuth API")
+            .with_base_cost(5, BlockCostType.RUN)
+            .build()
+        )
+
+        class OAuthScopedBlock(Block):
+            """Block requiring OAuth2 with specific scopes."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = oauth_provider.credentials_field(
+                    description="OAuth2 credentials with scopes",
+                    scopes=["read:user", "write:data"],
+                )
+                resource: str = SchemaField(description="Resource to access")
+
+            class Output(BlockSchema):
+                data: str = SchemaField(description="Retrieved data")
+                scopes_used: list[str] = SchemaField(
+                    description="Scopes that were used"
+                )
+                token_info: dict[str, Any] = SchemaField(
+                    description="Token information"
+                )
+
+            def __init__(self):
+                super().__init__(
+                    id="oauth-scoped-block",
+                    description="Test OAuth2 with scopes",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=OAuthScopedBlock.Input,
+                    output_schema=OAuthScopedBlock.Output,
+                )
+
+            async def run(
+                self, input_data: Input, *, credentials: OAuth2Credentials, **kwargs
+            ) -> BlockOutput:
+                # Simulate OAuth API call with scopes
+                token = credentials.access_token.get_secret_value()
+
+                yield "data", f"OAuth data for {input_data.resource}"
+                yield "scopes_used", credentials.scopes or []
+                yield "token_info", {
+                    "has_token": bool(token),
+                    "has_refresh": credentials.refresh_token is not None,
+                    "provider": credentials.provider,
+                    "expires_at": credentials.access_token_expires_at,
+                }
+
+        # Create test OAuth credentials
+        test_oauth_creds = OAuth2Credentials(
+            id="test-oauth-creds",
+            provider="test_oauth_provider",
+            access_token=SecretStr("test-access-token"),
+            refresh_token=SecretStr("test-refresh-token"),
+            scopes=["read:user", "write:data"],
+            title="Test OAuth Credentials",
+        )
+
+        # Test the block
+        block = OAuthScopedBlock()
+        outputs = {}
+        async for name, value in block.run(
+            OAuthScopedBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "test_oauth_provider",
+                    "id": "test-oauth-creds",
+                    "type": "oauth2",
+                },
+                resource="user/profile",
+            ),
+            credentials=test_oauth_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["data"] == "OAuth data for user/profile"
+        assert set(outputs["scopes_used"]) == {"read:user", "write:data"}
+        assert outputs["token_info"]["has_token"] is True
+        assert outputs["token_info"]["expires_at"] is None
+        assert outputs["token_info"]["has_refresh"] is True
+
+    @pytest.mark.asyncio
+    async def test_mixed_auth_block(self):
+        """Test block that supports both OAuth2 and API key authentication."""
+        # No need to import these again, already imported at top
+
+        # Create provider supporting both auth types
+        # Create provider supporting API key auth
+        # In real usage, you would add OAuth support with .with_oauth()
+        mixed_provider = (
+            ProviderBuilder("mixed_auth_provider")
+            .with_api_key("MIXED_API_KEY", "Mixed Provider API Key")
+            .with_base_cost(8, BlockCostType.RUN)
+            .build()
+        )
+
+        class MixedAuthBlock(Block):
+            """Block supporting multiple authentication methods."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = mixed_provider.credentials_field(
+                    description="API key or OAuth2 credentials",
+                    supported_credential_types=["api_key", "oauth2"],
+                )
+                operation: str = SchemaField(description="Operation to perform")
+
+            class Output(BlockSchema):
+                result: str = SchemaField(description="Operation result")
+                auth_type: str = SchemaField(description="Authentication type used")
+                auth_details: dict[str, Any] = SchemaField(description="Auth details")
+
+            def __init__(self):
+                super().__init__(
+                    id="mixed-auth-block",
+                    description="Block supporting OAuth2 and API key",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=MixedAuthBlock.Input,
+                    output_schema=MixedAuthBlock.Output,
+                )
+
+            async def run(
+                self,
+                input_data: Input,
+                *,
+                credentials: Union[APIKeyCredentials, OAuth2Credentials],
+                **kwargs,
+            ) -> BlockOutput:
+                # Handle different credential types
+                if isinstance(credentials, APIKeyCredentials):
+                    auth_type = "api_key"
+                    auth_details = {
+                        "has_key": bool(credentials.api_key.get_secret_value()),
+                        "key_prefix": credentials.api_key.get_secret_value()[:5]
+                        + "...",
+                    }
+                elif isinstance(credentials, OAuth2Credentials):
+                    auth_type = "oauth2"
+                    auth_details = {
+                        "has_token": bool(credentials.access_token.get_secret_value()),
+                        "scopes": credentials.scopes or [],
+                    }
+                else:
+                    auth_type = "unknown"
+                    auth_details = {}
+
+                yield "result", f"Performed {input_data.operation} with {auth_type}"
+                yield "auth_type", auth_type
+                yield "auth_details", auth_details
+
+        # Test with API key
+        api_creds = APIKeyCredentials(
+            id="mixed-api-creds",
+            provider="mixed_auth_provider",
+            api_key=SecretStr("sk-1234567890"),
+            title="Mixed API Key",
+        )
+
+        block = MixedAuthBlock()
+        outputs = {}
+        async for name, value in block.run(
+            MixedAuthBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "mixed_auth_provider",
+                    "id": "mixed-api-creds",
+                    "type": "api_key",
+                },
+                operation="fetch_data",
+            ),
+            credentials=api_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["auth_type"] == "api_key"
+        assert outputs["result"] == "Performed fetch_data with api_key"
+        assert outputs["auth_details"]["key_prefix"] == "sk-12..."
+
+        # Test with OAuth2
+        oauth_creds = OAuth2Credentials(
+            id="mixed-oauth-creds",
+            provider="mixed_auth_provider",
+            access_token=SecretStr("oauth-token-123"),
+            scopes=["full_access"],
+            title="Mixed OAuth",
+        )
+
+        outputs = {}
+        async for name, value in block.run(
+            MixedAuthBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "mixed_auth_provider",
+                    "id": "mixed-oauth-creds",
+                    "type": "oauth2",
+                },
+                operation="update_data",
+            ),
+            credentials=oauth_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["auth_type"] == "oauth2"
+        assert outputs["result"] == "Performed update_data with oauth2"
+        assert outputs["auth_details"]["scopes"] == ["full_access"]
+
+    @pytest.mark.asyncio
+    async def test_multiple_credentials_block(self):
+        """Test block requiring multiple different credentials."""
+        from backend.sdk import ProviderBuilder
+
+        # Create multiple providers
+        primary_provider = (
+            ProviderBuilder("primary_service")
+            .with_api_key("PRIMARY_API_KEY", "Primary Service Key")
+            .build()
+        )
+
+        # For testing purposes, using API key instead of OAuth handler
+        secondary_provider = (
+            ProviderBuilder("secondary_service")
+            .with_api_key("SECONDARY_API_KEY", "Secondary Service Key")
+            .build()
+        )
+
+        class MultiCredentialBlock(Block):
+            """Block requiring credentials from multiple services."""
+
+            class Input(BlockSchema):
+                primary_credentials: CredentialsMetaInput = (
+                    primary_provider.credentials_field(
+                        description="Primary service API key"
+                    )
+                )
+                secondary_credentials: CredentialsMetaInput = (
+                    secondary_provider.credentials_field(
+                        description="Secondary service OAuth"
+                    )
+                )
+                merge_data: bool = SchemaField(
+                    description="Whether to merge data from both services",
+                    default=True,
+                )
+
+            class Output(BlockSchema):
+                primary_data: str = SchemaField(description="Data from primary service")
+                secondary_data: str = SchemaField(
+                    description="Data from secondary service"
+                )
+                merged_result: Optional[str] = SchemaField(
+                    description="Merged data if requested"
+                )
+
+            def __init__(self):
+                super().__init__(
+                    id="multi-credential-block",
+                    description="Block using multiple credentials",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=MultiCredentialBlock.Input,
+                    output_schema=MultiCredentialBlock.Output,
+                )
+
+            async def run(
+                self,
+                input_data: Input,
+                *,
+                primary_credentials: APIKeyCredentials,
+                secondary_credentials: OAuth2Credentials,
+                **kwargs,
+            ) -> BlockOutput:
+                # Simulate fetching data with primary API key
+                primary_data = f"Primary data using {primary_credentials.provider}"
+                yield "primary_data", primary_data
+
+                # Simulate fetching data with secondary OAuth
+                secondary_data = f"Secondary data with {len(secondary_credentials.scopes or [])} scopes"
+                yield "secondary_data", secondary_data
+
+                # Merge if requested
+                if input_data.merge_data:
+                    merged = f"{primary_data} + {secondary_data}"
+                    yield "merged_result", merged
+                else:
+                    yield "merged_result", None
+
+        # Create test credentials
+        primary_creds = APIKeyCredentials(
+            id="primary-creds",
+            provider="primary_service",
+            api_key=SecretStr("primary-key-123"),
+            title="Primary Key",
+        )
+
+        secondary_creds = OAuth2Credentials(
+            id="secondary-creds",
+            provider="secondary_service",
+            access_token=SecretStr("secondary-token"),
+            scopes=["read", "write"],
+            title="Secondary OAuth",
+        )
+
+        # Test the block
+        block = MultiCredentialBlock()
+        outputs = {}
+
+        # Note: In real usage, the framework would inject the correct credentials
+        # based on the field names. Here we simulate that behavior.
+        async for name, value in block.run(
+            MultiCredentialBlock.Input(
+                primary_credentials={  # type: ignore
+                    "provider": "primary_service",
+                    "id": "primary-creds",
+                    "type": "api_key",
+                },
+                secondary_credentials={  # type: ignore
+                    "provider": "secondary_service",
+                    "id": "secondary-creds",
+                    "type": "oauth2",
+                },
+                merge_data=True,
+            ),
+            primary_credentials=primary_creds,
+            secondary_credentials=secondary_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["primary_data"] == "Primary data using primary_service"
+        assert outputs["secondary_data"] == "Secondary data with 2 scopes"
+        assert "Primary data" in outputs["merged_result"]
+        assert "Secondary data" in outputs["merged_result"]
+
+    @pytest.mark.asyncio
+    async def test_oauth_scope_validation(self):
+        """Test OAuth scope validation and handling."""
+        from backend.sdk import OAuth2Credentials, ProviderBuilder
+
+        # Provider with specific required scopes
+        # For testing OAuth scope validation
+        scoped_provider = (
+            ProviderBuilder("scoped_oauth_service")
+            .with_api_key("SCOPED_OAUTH_KEY", "Scoped OAuth Service")
+            .build()
+        )
+
+        class ScopeValidationBlock(Block):
+            """Block that validates OAuth scopes."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = scoped_provider.credentials_field(
+                    description="OAuth credentials with specific scopes",
+                    scopes=["user:read", "user:write"],  # Required scopes
+                )
+                require_admin: bool = SchemaField(
+                    description="Whether admin scopes are required",
+                    default=False,
+                )
+
+            class Output(BlockSchema):
+                allowed_operations: list[str] = SchemaField(
+                    description="Operations allowed with current scopes"
+                )
+                missing_scopes: list[str] = SchemaField(
+                    description="Scopes that are missing for full access"
+                )
+                has_required_scopes: bool = SchemaField(
+                    description="Whether all required scopes are present"
+                )
+
+            def __init__(self):
+                super().__init__(
+                    id="scope-validation-block",
+                    description="Block that validates OAuth scopes",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=ScopeValidationBlock.Input,
+                    output_schema=ScopeValidationBlock.Output,
+                )
+
+            async def run(
+                self, input_data: Input, *, credentials: OAuth2Credentials, **kwargs
+            ) -> BlockOutput:
+                current_scopes = set(credentials.scopes or [])
+                required_scopes = {"user:read", "user:write"}
+
+                if input_data.require_admin:
+                    required_scopes.update({"admin:read", "admin:write"})
+
+                # Determine allowed operations based on scopes
+                allowed_ops = []
+                if "user:read" in current_scopes:
+                    allowed_ops.append("read_user_data")
+                if "user:write" in current_scopes:
+                    allowed_ops.append("update_user_data")
+                if "admin:read" in current_scopes:
+                    allowed_ops.append("read_admin_data")
+                if "admin:write" in current_scopes:
+                    allowed_ops.append("update_admin_data")
+
+                missing = list(required_scopes - current_scopes)
+                has_required = len(missing) == 0
+
+                yield "allowed_operations", allowed_ops
+                yield "missing_scopes", missing
+                yield "has_required_scopes", has_required
+
+        # Test with partial scopes
+        partial_creds = OAuth2Credentials(
+            id="partial-oauth",
+            provider="scoped_oauth_service",
+            access_token=SecretStr("partial-token"),
+            scopes=["user:read"],  # Only one of the required scopes
+            title="Partial OAuth",
+        )
+
+        block = ScopeValidationBlock()
+        outputs = {}
+        async for name, value in block.run(
+            ScopeValidationBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "scoped_oauth_service",
+                    "id": "partial-oauth",
+                    "type": "oauth2",
+                },
+                require_admin=False,
+            ),
+            credentials=partial_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["allowed_operations"] == ["read_user_data"]
+        assert "user:write" in outputs["missing_scopes"]
+        assert outputs["has_required_scopes"] is False
+
+        # Test with all required scopes
+        full_creds = OAuth2Credentials(
+            id="full-oauth",
+            provider="scoped_oauth_service",
+            access_token=SecretStr("full-token"),
+            scopes=["user:read", "user:write", "admin:read"],
+            title="Full OAuth",
+        )
+
+        outputs = {}
+        async for name, value in block.run(
+            ScopeValidationBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "scoped_oauth_service",
+                    "id": "full-oauth",
+                    "type": "oauth2",
+                },
+                require_admin=False,
+            ),
+            credentials=full_creds,
+        ):
+            outputs[name] = value
+
+        assert set(outputs["allowed_operations"]) == {
+            "read_user_data",
+            "update_user_data",
+            "read_admin_data",
+        }
+        assert outputs["missing_scopes"] == []
+        assert outputs["has_required_scopes"] is True
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])
diff --git a/autogpt_platform/backend/test/sdk/test_sdk_patching.py b/autogpt_platform/backend/test/sdk/test_sdk_patching.py
new file mode 100644
index 000000000000..42ea47bb434a
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/test_sdk_patching.py
@@ -0,0 +1,151 @@
+"""
+Tests for the SDK's integration patching mechanism.
+
+This test suite verifies that the AutoRegistry correctly patches
+existing integration points to include SDK-registered components.
+"""
+
+from unittest.mock import MagicMock, Mock, patch
+
+import pytest
+
+from backend.integrations.providers import ProviderName
+from backend.sdk import (
+    AutoRegistry,
+    BaseOAuthHandler,
+    BaseWebhooksManager,
+    Credentials,
+    ProviderBuilder,
+)
+
+
+class MockOAuthHandler(BaseOAuthHandler):
+    """Mock OAuth handler for testing."""
+
+    PROVIDER_NAME = ProviderName.GITHUB
+
+    @classmethod
+    async def authorize(cls, *args, **kwargs):
+        return "mock_auth"
+
+
+class MockWebhookManager(BaseWebhooksManager):
+    """Mock webhook manager for testing."""
+
+    PROVIDER_NAME = ProviderName.GITHUB
+
+    @classmethod
+    async def validate_payload(cls, webhook, request, credentials: Credentials | None):
+        return {}, "test_event"
+
+    async def _register_webhook(self, *args, **kwargs):
+        return "mock_webhook_id", {}
+
+    async def _deregister_webhook(self, *args, **kwargs):
+        pass
+
+
+class TestWebhookPatching:
+    """Test webhook manager patching functionality."""
+
+    def setup_method(self):
+        """Clear registry."""
+        AutoRegistry.clear()
+
+    def test_webhook_manager_patching(self):
+        """Test that webhook managers are correctly patched."""
+
+        # Mock the original load_webhook_managers function
+        def mock_load_webhook_managers():
+            return {
+                "existing_webhook": Mock(spec=BaseWebhooksManager),
+            }
+
+        # Register a provider with webhooks
+        (
+            ProviderBuilder("webhook_provider")
+            .with_webhook_manager(MockWebhookManager)
+            .build()
+        )
+
+        # Mock the webhooks module
+        mock_webhooks_module = MagicMock()
+        mock_webhooks_module.load_webhook_managers = mock_load_webhook_managers
+
+        with patch.dict(
+            "sys.modules", {"backend.integrations.webhooks": mock_webhooks_module}
+        ):
+            AutoRegistry.patch_integrations()
+
+            # Call the patched function
+            result = mock_webhooks_module.load_webhook_managers()
+
+            # Original webhook should still exist
+            assert "existing_webhook" in result
+
+            # New webhook should be added
+            assert "webhook_provider" in result
+            assert result["webhook_provider"] == MockWebhookManager
+
+    def test_webhook_patching_no_original_function(self):
+        """Test webhook patching when load_webhook_managers doesn't exist."""
+        # Mock webhooks module without load_webhook_managers
+        mock_webhooks_module = MagicMock(spec=[])
+
+        # Register a provider
+        (
+            ProviderBuilder("test_provider")
+            .with_webhook_manager(MockWebhookManager)
+            .build()
+        )
+
+        with patch.dict(
+            "sys.modules", {"backend.integrations.webhooks": mock_webhooks_module}
+        ):
+            # Should not raise an error
+            AutoRegistry.patch_integrations()
+
+            # Function should not be added if it didn't exist
+            assert not hasattr(mock_webhooks_module, "load_webhook_managers")
+
+
+class TestPatchingIntegration:
+    """Test the complete patching integration flow."""
+
+    def setup_method(self):
+        """Clear registry."""
+        AutoRegistry.clear()
+
+    def test_complete_provider_registration_and_patching(self):
+        """Test the complete flow from provider registration to patching."""
+        # Mock webhooks module
+        mock_webhooks = MagicMock()
+        mock_webhooks.load_webhook_managers = lambda: {"original": Mock()}
+
+        # Create a fully featured provider
+        (
+            ProviderBuilder("complete_provider")
+            .with_api_key("COMPLETE_KEY", "Complete API Key")
+            .with_oauth(MockOAuthHandler, scopes=["read", "write"])
+            .with_webhook_manager(MockWebhookManager)
+            .build()
+        )
+
+        # Apply patches
+        with patch.dict(
+            "sys.modules",
+            {
+                "backend.integrations.webhooks": mock_webhooks,
+            },
+        ):
+            AutoRegistry.patch_integrations()
+
+            # Verify webhook patching
+            webhook_result = mock_webhooks.load_webhook_managers()
+            assert "complete_provider" in webhook_result
+            assert webhook_result["complete_provider"] == MockWebhookManager
+            assert "original" in webhook_result  # Original preserved
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])
diff --git a/autogpt_platform/backend/test/sdk/test_sdk_registry.py b/autogpt_platform/backend/test/sdk/test_sdk_registry.py
new file mode 100644
index 000000000000..4970ba5933eb
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/test_sdk_registry.py
@@ -0,0 +1,521 @@
+"""
+Tests for the SDK auto-registration system via AutoRegistry.
+
+This test suite verifies:
+1. Provider registration and retrieval
+2. OAuth handler registration via patches
+3. Webhook manager registration via patches
+4. Credential registration and management
+5. Block configuration association
+"""
+
+import os
+from unittest.mock import MagicMock, Mock, patch
+
+import pytest
+
+from backend.integrations.providers import ProviderName
+from backend.sdk import (
+    APIKeyCredentials,
+    AutoRegistry,
+    BaseOAuthHandler,
+    BaseWebhooksManager,
+    Block,
+    BlockConfiguration,
+    Provider,
+    ProviderBuilder,
+)
+
+
+class TestAutoRegistry:
+    """Test the AutoRegistry functionality."""
+
+    def setup_method(self):
+        """Clear registry before each test."""
+        AutoRegistry.clear()
+
+    def test_provider_registration(self):
+        """Test that providers can be registered and retrieved."""
+        # Create a test provider
+        provider = Provider(
+            name="test_provider",
+            oauth_handler=None,
+            webhook_manager=None,
+            default_credentials=[],
+            base_costs=[],
+            supported_auth_types={"api_key"},
+        )
+
+        # Register it
+        AutoRegistry.register_provider(provider)
+
+        # Verify it's registered
+        assert "test_provider" in AutoRegistry._providers
+        assert AutoRegistry.get_provider("test_provider") == provider
+
+    def test_provider_with_oauth(self):
+        """Test provider registration with OAuth handler."""
+
+        # Create a mock OAuth handler
+        class TestOAuthHandler(BaseOAuthHandler):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        from backend.sdk.provider import OAuthConfig
+
+        # Set environment variables so OAuth handler gets registered
+        with patch.dict(
+            os.environ,
+            {"TEST_CLIENT_ID": "test_id", "TEST_CLIENT_SECRET": "test_secret"},
+        ):
+            provider = Provider(
+                name="oauth_provider",
+                oauth_config=OAuthConfig(
+                    oauth_handler=TestOAuthHandler,
+                    client_id_env_var="TEST_CLIENT_ID",
+                    client_secret_env_var="TEST_CLIENT_SECRET",
+                ),
+                webhook_manager=None,
+                default_credentials=[],
+                base_costs=[],
+                supported_auth_types={"oauth2"},
+            )
+
+            AutoRegistry.register_provider(provider)
+
+            # Verify OAuth handler is registered
+            assert "oauth_provider" in AutoRegistry._oauth_handlers
+            assert AutoRegistry._oauth_handlers["oauth_provider"] == TestOAuthHandler
+
+    def test_provider_with_webhook_manager(self):
+        """Test provider registration with webhook manager."""
+
+        # Create a mock webhook manager
+        class TestWebhookManager(BaseWebhooksManager):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        provider = Provider(
+            name="webhook_provider",
+            oauth_handler=None,
+            webhook_manager=TestWebhookManager,
+            default_credentials=[],
+            base_costs=[],
+            supported_auth_types={"api_key"},
+        )
+
+        AutoRegistry.register_provider(provider)
+
+        # Verify webhook manager is registered
+        assert "webhook_provider" in AutoRegistry._webhook_managers
+        assert AutoRegistry._webhook_managers["webhook_provider"] == TestWebhookManager
+
+    def test_default_credentials_registration(self):
+        """Test that default credentials are registered."""
+        # Create test credentials
+        from backend.sdk import SecretStr
+
+        cred1 = APIKeyCredentials(
+            id="test-cred-1",
+            provider="test_provider",
+            api_key=SecretStr("test-key-1"),
+            title="Test Credential 1",
+        )
+        cred2 = APIKeyCredentials(
+            id="test-cred-2",
+            provider="test_provider",
+            api_key=SecretStr("test-key-2"),
+            title="Test Credential 2",
+        )
+
+        provider = Provider(
+            name="test_provider",
+            oauth_handler=None,
+            webhook_manager=None,
+            default_credentials=[cred1, cred2],
+            base_costs=[],
+            supported_auth_types={"api_key"},
+        )
+
+        AutoRegistry.register_provider(provider)
+
+        # Verify credentials are registered
+        all_creds = AutoRegistry.get_all_credentials()
+        assert cred1 in all_creds
+        assert cred2 in all_creds
+
+    def test_api_key_registration(self):
+        """Test API key environment variable registration."""
+        import os
+
+        # Set up a test environment variable
+        os.environ["TEST_API_KEY"] = "test-api-key-value"
+
+        try:
+            AutoRegistry.register_api_key("test_provider", "TEST_API_KEY")
+
+            # Verify the mapping is stored
+            assert AutoRegistry._api_key_mappings["test_provider"] == "TEST_API_KEY"
+
+            # Verify a credential was created
+            all_creds = AutoRegistry.get_all_credentials()
+            test_cred = next(
+                (c for c in all_creds if c.id == "test_provider-default"), None
+            )
+            assert test_cred is not None
+            assert test_cred.provider == "test_provider"
+            assert test_cred.api_key.get_secret_value() == "test-api-key-value"  # type: ignore
+
+        finally:
+            # Clean up
+            del os.environ["TEST_API_KEY"]
+
+    def test_get_oauth_handlers(self):
+        """Test retrieving all OAuth handlers."""
+
+        # Register multiple providers with OAuth
+        class TestOAuth1(BaseOAuthHandler):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        class TestOAuth2(BaseOAuthHandler):
+            PROVIDER_NAME = ProviderName.GOOGLE
+
+        from backend.sdk.provider import OAuthConfig
+
+        # Set environment variables so OAuth handlers get registered
+        with patch.dict(
+            os.environ,
+            {"TEST_CLIENT_ID": "test_id", "TEST_CLIENT_SECRET": "test_secret"},
+        ):
+            provider1 = Provider(
+                name="provider1",
+                oauth_config=OAuthConfig(
+                    oauth_handler=TestOAuth1,
+                    client_id_env_var="TEST_CLIENT_ID",
+                    client_secret_env_var="TEST_CLIENT_SECRET",
+                ),
+                webhook_manager=None,
+                default_credentials=[],
+                base_costs=[],
+                supported_auth_types={"oauth2"},
+            )
+
+            provider2 = Provider(
+                name="provider2",
+                oauth_config=OAuthConfig(
+                    oauth_handler=TestOAuth2,
+                    client_id_env_var="TEST_CLIENT_ID",
+                    client_secret_env_var="TEST_CLIENT_SECRET",
+                ),
+                webhook_manager=None,
+                default_credentials=[],
+                base_costs=[],
+                supported_auth_types={"oauth2"},
+            )
+
+            AutoRegistry.register_provider(provider1)
+            AutoRegistry.register_provider(provider2)
+
+            handlers = AutoRegistry.get_oauth_handlers()
+            assert "provider1" in handlers
+            assert "provider2" in handlers
+            assert handlers["provider1"] == TestOAuth1
+            assert handlers["provider2"] == TestOAuth2
+
+    def test_block_configuration_registration(self):
+        """Test registering block configuration."""
+
+        # Create a test block class
+        class TestBlock(Block):
+            pass
+
+        config = BlockConfiguration(
+            provider="test_provider",
+            costs=[],
+            default_credentials=[],
+            webhook_manager=None,
+            oauth_handler=None,
+        )
+
+        AutoRegistry.register_block_configuration(TestBlock, config)
+
+        # Verify it's registered
+        assert TestBlock in AutoRegistry._block_configurations
+        assert AutoRegistry._block_configurations[TestBlock] == config
+
+    def test_clear_registry(self):
+        """Test clearing all registrations."""
+        # Add some registrations
+        provider = Provider(
+            name="test_provider",
+            oauth_handler=None,
+            webhook_manager=None,
+            default_credentials=[],
+            base_costs=[],
+            supported_auth_types={"api_key"},
+        )
+        AutoRegistry.register_provider(provider)
+        AutoRegistry.register_api_key("test", "TEST_KEY")
+
+        # Clear everything
+        AutoRegistry.clear()
+
+        # Verify everything is cleared
+        assert len(AutoRegistry._providers) == 0
+        assert len(AutoRegistry._default_credentials) == 0
+        assert len(AutoRegistry._oauth_handlers) == 0
+        assert len(AutoRegistry._webhook_managers) == 0
+        assert len(AutoRegistry._block_configurations) == 0
+        assert len(AutoRegistry._api_key_mappings) == 0
+
+
+class TestAutoRegistryPatching:
+    """Test the integration patching functionality."""
+
+    def setup_method(self):
+        """Clear registry before each test."""
+        AutoRegistry.clear()
+
+    @patch("backend.integrations.webhooks.load_webhook_managers")
+    def test_webhook_manager_patching(self, mock_load_managers):
+        """Test that webhook managers are patched into the system."""
+        # Set up the mock to return an empty dict
+        mock_load_managers.return_value = {}
+
+        # Create a test webhook manager
+        class TestWebhookManager(BaseWebhooksManager):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        # Register a provider with webhooks
+        provider = Provider(
+            name="webhook_provider",
+            oauth_handler=None,
+            webhook_manager=TestWebhookManager,
+            default_credentials=[],
+            base_costs=[],
+            supported_auth_types={"api_key"},
+        )
+
+        AutoRegistry.register_provider(provider)
+
+        # Mock the webhooks module
+        mock_webhooks = MagicMock()
+        mock_webhooks.load_webhook_managers = mock_load_managers
+
+        with patch.dict(
+            "sys.modules", {"backend.integrations.webhooks": mock_webhooks}
+        ):
+            # Apply patches
+            AutoRegistry.patch_integrations()
+
+            # Call the patched function
+            result = mock_webhooks.load_webhook_managers()
+
+            # Verify our webhook manager is included
+            assert "webhook_provider" in result
+            assert result["webhook_provider"] == TestWebhookManager
+
+
+class TestProviderBuilder:
+    """Test the ProviderBuilder fluent API."""
+
+    def setup_method(self):
+        """Clear registry before each test."""
+        AutoRegistry.clear()
+
+    def test_basic_provider_builder(self):
+        """Test building a basic provider."""
+        provider = (
+            ProviderBuilder("test_provider")
+            .with_api_key("TEST_API_KEY", "Test API Key")
+            .build()
+        )
+
+        assert provider.name == "test_provider"
+        assert "api_key" in provider.supported_auth_types
+        assert AutoRegistry.get_provider("test_provider") == provider
+
+    def test_provider_builder_with_oauth(self):
+        """Test building a provider with OAuth."""
+
+        class TestOAuth(BaseOAuthHandler):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        with patch.dict(
+            os.environ,
+            {
+                "OAUTH_TEST_CLIENT_ID": "test_id",
+                "OAUTH_TEST_CLIENT_SECRET": "test_secret",
+            },
+        ):
+            provider = (
+                ProviderBuilder("oauth_test")
+                .with_oauth(TestOAuth, scopes=["read", "write"])
+                .build()
+            )
+
+            assert provider.oauth_config is not None
+            assert provider.oauth_config.oauth_handler == TestOAuth
+            assert "oauth2" in provider.supported_auth_types
+
+    def test_provider_builder_with_webhook(self):
+        """Test building a provider with webhook manager."""
+
+        class TestWebhook(BaseWebhooksManager):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        provider = (
+            ProviderBuilder("webhook_test").with_webhook_manager(TestWebhook).build()
+        )
+
+        assert provider.webhook_manager == TestWebhook
+
+    def test_provider_builder_with_base_cost(self):
+        """Test building a provider with base costs."""
+        from backend.data.cost import BlockCostType
+
+        provider = (
+            ProviderBuilder("cost_test")
+            .with_base_cost(10, BlockCostType.RUN)
+            .with_base_cost(5, BlockCostType.BYTE)
+            .build()
+        )
+
+        assert len(provider.base_costs) == 2
+        assert provider.base_costs[0].cost_amount == 10
+        assert provider.base_costs[0].cost_type == BlockCostType.RUN
+        assert provider.base_costs[1].cost_amount == 5
+        assert provider.base_costs[1].cost_type == BlockCostType.BYTE
+
+    def test_provider_builder_with_api_client(self):
+        """Test building a provider with API client factory."""
+
+        def mock_client_factory():
+            return Mock()
+
+        provider = (
+            ProviderBuilder("client_test").with_api_client(mock_client_factory).build()
+        )
+
+        assert provider._api_client_factory == mock_client_factory
+
+    def test_provider_builder_with_error_handler(self):
+        """Test building a provider with error handler."""
+
+        def mock_error_handler(exc: Exception) -> str:
+            return f"Error: {str(exc)}"
+
+        provider = (
+            ProviderBuilder("error_test").with_error_handler(mock_error_handler).build()
+        )
+
+        assert provider._error_handler == mock_error_handler
+
+    def test_provider_builder_complete_example(self):
+        """Test building a complete provider with all features."""
+        from backend.data.cost import BlockCostType
+
+        class TestOAuth(BaseOAuthHandler):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        class TestWebhook(BaseWebhooksManager):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        def client_factory():
+            return Mock()
+
+        def error_handler(exc):
+            return str(exc)
+
+        # Set environment variables for OAuth to be registered
+        with patch.dict(
+            os.environ,
+            {
+                "COMPLETE_TEST_CLIENT_ID": "test_id",
+                "COMPLETE_TEST_CLIENT_SECRET": "test_secret",
+                "COMPLETE_API_KEY": "test_api_key",
+            },
+        ):
+            provider = (
+                ProviderBuilder("complete_test")
+                .with_api_key("COMPLETE_API_KEY", "Complete API Key")
+                .with_oauth(TestOAuth, scopes=["read"])
+                .with_webhook_manager(TestWebhook)
+                .with_base_cost(100, BlockCostType.RUN)
+                .with_api_client(client_factory)
+                .with_error_handler(error_handler)
+                .with_config(custom_setting="value")
+                .build()
+            )
+
+            # Verify all settings
+            assert provider.name == "complete_test"
+            assert "api_key" in provider.supported_auth_types
+            assert "oauth2" in provider.supported_auth_types
+            assert provider.oauth_config is not None
+            assert provider.oauth_config.oauth_handler == TestOAuth
+            assert provider.webhook_manager == TestWebhook
+            assert len(provider.base_costs) == 1
+            assert provider._api_client_factory == client_factory
+            assert provider._error_handler == error_handler
+            assert provider.get_config("custom_setting") == "value"  # from with_config
+
+            # Verify it's registered
+            assert AutoRegistry.get_provider("complete_test") == provider
+            assert "complete_test" in AutoRegistry._oauth_handlers
+            assert "complete_test" in AutoRegistry._webhook_managers
+
+
+class TestSDKImports:
+    """Test that all expected exports are available from the SDK."""
+
+    def test_core_block_imports(self):
+        """Test core block system imports."""
+        from backend.sdk import Block, BlockCategory
+
+        # Just verify they're importable
+        assert Block is not None
+        assert BlockCategory is not None
+
+    def test_schema_imports(self):
+        """Test schema and model imports."""
+        from backend.sdk import APIKeyCredentials, SchemaField
+
+        assert SchemaField is not None
+        assert APIKeyCredentials is not None
+
+    def test_type_alias_imports(self):
+        """Test type alias imports are removed."""
+        # Type aliases have been removed from SDK
+        # Users should import from typing or use built-in types directly
+        pass
+
+    def test_cost_system_imports(self):
+        """Test cost system imports."""
+        from backend.sdk import BlockCost, BlockCostType
+
+        assert BlockCost is not None
+        assert BlockCostType is not None
+
+    def test_utility_imports(self):
+        """Test utility imports."""
+        from backend.sdk import BaseModel, Requests, json
+
+        assert json is not None
+        assert BaseModel is not None
+        assert Requests is not None
+
+    def test_integration_imports(self):
+        """Test integration imports."""
+        from backend.sdk import ProviderName
+
+        assert ProviderName is not None
+
+    def test_sdk_component_imports(self):
+        """Test SDK-specific component imports."""
+        from backend.sdk import AutoRegistry, ProviderBuilder
+
+        assert AutoRegistry is not None
+        assert ProviderBuilder is not None
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])
diff --git a/autogpt_platform/backend/test/sdk/test_sdk_webhooks.py b/autogpt_platform/backend/test/sdk/test_sdk_webhooks.py
new file mode 100644
index 000000000000..65101c8fe647
--- /dev/null
+++ b/autogpt_platform/backend/test/sdk/test_sdk_webhooks.py
@@ -0,0 +1,509 @@
+"""
+Tests for SDK webhook functionality.
+
+This test suite verifies webhook blocks and webhook manager integration.
+"""
+
+from enum import Enum
+
+import pytest
+
+from backend.integrations.providers import ProviderName
+from backend.sdk import (
+    APIKeyCredentials,
+    AutoRegistry,
+    BaseModel,
+    BaseWebhooksManager,
+    Block,
+    BlockCategory,
+    BlockOutput,
+    BlockSchema,
+    BlockWebhookConfig,
+    Credentials,
+    CredentialsField,
+    CredentialsMetaInput,
+    Field,
+    ProviderBuilder,
+    SchemaField,
+    SecretStr,
+)
+
+
+class TestWebhookTypes(str, Enum):
+    """Test webhook event types."""
+
+    CREATED = "created"
+    UPDATED = "updated"
+    DELETED = "deleted"
+
+
+class TestWebhooksManager(BaseWebhooksManager):
+    """Test webhook manager implementation."""
+
+    PROVIDER_NAME = ProviderName.GITHUB  # Reuse for testing
+
+    class WebhookType(str, Enum):
+        TEST = "test"
+
+    @classmethod
+    async def validate_payload(
+        cls, webhook, request, credentials: Credentials | None = None
+    ):
+        """Validate incoming webhook payload."""
+        # Mock implementation
+        payload = {"test": "data"}
+        event_type = "test_event"
+        return payload, event_type
+
+    async def _register_webhook(
+        self,
+        credentials,
+        webhook_type: str,
+        resource: str,
+        events: list[str],
+        ingress_url: str,
+        secret: str,
+    ) -> tuple[str, dict]:
+        """Register webhook with external service."""
+        # Mock implementation
+        webhook_id = f"test_webhook_{resource}"
+        config = {
+            "webhook_type": webhook_type,
+            "resource": resource,
+            "events": events,
+            "url": ingress_url,
+        }
+        return webhook_id, config
+
+    async def _deregister_webhook(self, webhook, credentials) -> None:
+        """Deregister webhook from external service."""
+        # Mock implementation
+        pass
+
+
+class TestWebhookBlock(Block):
+    """Test webhook block implementation."""
+
+    class Input(BlockSchema):
+        credentials: CredentialsMetaInput = CredentialsField(
+            provider="test_webhooks",
+            supported_credential_types={"api_key"},
+            description="Webhook service credentials",
+        )
+        webhook_url: str = SchemaField(
+            description="URL to receive webhooks",
+        )
+        resource_id: str = SchemaField(
+            description="Resource to monitor",
+        )
+        events: list[TestWebhookTypes] = SchemaField(
+            description="Events to listen for",
+            default=[TestWebhookTypes.CREATED],
+        )
+        payload: dict = SchemaField(
+            description="Webhook payload",
+            default={},
+        )
+
+    class Output(BlockSchema):
+        webhook_id: str = SchemaField(description="Registered webhook ID")
+        is_active: bool = SchemaField(description="Webhook is active")
+        event_count: int = SchemaField(description="Number of events configured")
+
+    def __init__(self):
+        super().__init__(
+            id="test-webhook-block",
+            description="Test webhook block",
+            categories={BlockCategory.DEVELOPER_TOOLS},
+            input_schema=TestWebhookBlock.Input,
+            output_schema=TestWebhookBlock.Output,
+            webhook_config=BlockWebhookConfig(
+                provider="test_webhooks",  # type: ignore
+                webhook_type="test",
+                resource_format="{resource_id}",
+            ),
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
+    ) -> BlockOutput:
+        # Simulate webhook registration
+        webhook_id = f"webhook_{input_data.resource_id}"
+
+        yield "webhook_id", webhook_id
+        yield "is_active", True
+        yield "event_count", len(input_data.events)
+
+
+class TestWebhookBlockCreation:
+    """Test creating webhook blocks with the SDK."""
+
+    def setup_method(self):
+        """Set up test environment."""
+        AutoRegistry.clear()
+
+        # Register a provider with webhook support
+        self.provider = (
+            ProviderBuilder("test_webhooks")
+            .with_api_key("TEST_WEBHOOK_KEY", "Test Webhook API Key")
+            .with_webhook_manager(TestWebhooksManager)
+            .build()
+        )
+
+    @pytest.mark.asyncio
+    async def test_basic_webhook_block(self):
+        """Test creating a basic webhook block."""
+        block = TestWebhookBlock()
+
+        # Verify block configuration
+        assert block.webhook_config is not None
+        assert block.webhook_config.provider == "test_webhooks"
+        assert block.webhook_config.webhook_type == "test"
+        assert "{resource_id}" in block.webhook_config.resource_format  # type: ignore
+
+        # Test block execution
+        test_creds = APIKeyCredentials(
+            id="test-webhook-creds",
+            provider="test_webhooks",
+            api_key=SecretStr("test-key"),
+            title="Test Webhook Key",
+        )
+
+        outputs = {}
+        async for name, value in block.run(
+            TestWebhookBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "test_webhooks",
+                    "id": "test-webhook-creds",
+                    "type": "api_key",
+                },
+                webhook_url="https://example.com/webhook",
+                resource_id="resource_123",
+                events=[TestWebhookTypes.CREATED, TestWebhookTypes.UPDATED],
+            ),
+            credentials=test_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["webhook_id"] == "webhook_resource_123"
+        assert outputs["is_active"] is True
+        assert outputs["event_count"] == 2
+
+    @pytest.mark.asyncio
+    async def test_webhook_block_with_filters(self):
+        """Test webhook block with event filters."""
+
+        class EventFilterModel(BaseModel):
+            include_system: bool = Field(default=False)
+            severity_levels: list[str] = Field(
+                default_factory=lambda: ["info", "warning"]
+            )
+
+        class FilteredWebhookBlock(Block):
+            """Webhook block with filtering."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = CredentialsField(
+                    provider="test_webhooks",
+                    supported_credential_types={"api_key"},
+                )
+                resource: str = SchemaField(description="Resource to monitor")
+                filters: EventFilterModel = SchemaField(
+                    description="Event filters",
+                    default_factory=EventFilterModel,
+                )
+                payload: dict = SchemaField(
+                    description="Webhook payload",
+                    default={},
+                )
+
+            class Output(BlockSchema):
+                webhook_active: bool = SchemaField(description="Webhook active")
+                filter_summary: str = SchemaField(description="Active filters")
+
+            def __init__(self):
+                super().__init__(
+                    id="filtered-webhook-block",
+                    description="Webhook with filters",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=FilteredWebhookBlock.Input,
+                    output_schema=FilteredWebhookBlock.Output,
+                    webhook_config=BlockWebhookConfig(
+                        provider="test_webhooks",  # type: ignore
+                        webhook_type="filtered",
+                        resource_format="{resource}",
+                    ),
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                filters = input_data.filters
+                filter_parts = []
+
+                if filters.include_system:
+                    filter_parts.append("system events")
+
+                filter_parts.append(f"{len(filters.severity_levels)} severity levels")
+
+                yield "webhook_active", True
+                yield "filter_summary", ", ".join(filter_parts)
+
+        # Test the block
+        block = FilteredWebhookBlock()
+
+        test_creds = APIKeyCredentials(
+            id="test-creds",
+            provider="test_webhooks",
+            api_key=SecretStr("key"),
+            title="Test Key",
+        )
+
+        # Test with default filters
+        outputs = {}
+        async for name, value in block.run(
+            FilteredWebhookBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "test_webhooks",
+                    "id": "test-creds",
+                    "type": "api_key",
+                },
+                resource="test_resource",
+            ),
+            credentials=test_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["webhook_active"] is True
+        assert "2 severity levels" in outputs["filter_summary"]
+
+        # Test with custom filters
+        custom_filters = EventFilterModel(
+            include_system=True,
+            severity_levels=["error", "critical"],
+        )
+
+        outputs = {}
+        async for name, value in block.run(
+            FilteredWebhookBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "test_webhooks",
+                    "id": "test-creds",
+                    "type": "api_key",
+                },
+                resource="test_resource",
+                filters=custom_filters,
+            ),
+            credentials=test_creds,
+        ):
+            outputs[name] = value
+
+        assert "system events" in outputs["filter_summary"]
+        assert "2 severity levels" in outputs["filter_summary"]
+
+
+class TestWebhookManagerIntegration:
+    """Test webhook manager integration with AutoRegistry."""
+
+    def setup_method(self):
+        """Clear registry."""
+        AutoRegistry.clear()
+
+    def test_webhook_manager_registration(self):
+        """Test that webhook managers are properly registered."""
+
+        # Create multiple webhook managers
+        class WebhookManager1(BaseWebhooksManager):
+            PROVIDER_NAME = ProviderName.GITHUB
+
+        class WebhookManager2(BaseWebhooksManager):
+            PROVIDER_NAME = ProviderName.GOOGLE
+
+        # Register providers with webhook managers
+        (
+            ProviderBuilder("webhook_service_1")
+            .with_webhook_manager(WebhookManager1)
+            .build()
+        )
+
+        (
+            ProviderBuilder("webhook_service_2")
+            .with_webhook_manager(WebhookManager2)
+            .build()
+        )
+
+        # Verify registration
+        managers = AutoRegistry.get_webhook_managers()
+        assert "webhook_service_1" in managers
+        assert "webhook_service_2" in managers
+        assert managers["webhook_service_1"] == WebhookManager1
+        assert managers["webhook_service_2"] == WebhookManager2
+
+    @pytest.mark.asyncio
+    async def test_webhook_block_with_provider_manager(self):
+        """Test webhook block using a provider's webhook manager."""
+        # Register provider with webhook manager
+        (
+            ProviderBuilder("integrated_webhooks")
+            .with_api_key("INTEGRATED_KEY", "Integrated Webhook Key")
+            .with_webhook_manager(TestWebhooksManager)
+            .build()
+        )
+
+        # Create a block that uses this provider
+        class IntegratedWebhookBlock(Block):
+            """Block using integrated webhook manager."""
+
+            class Input(BlockSchema):
+                credentials: CredentialsMetaInput = CredentialsField(
+                    provider="integrated_webhooks",
+                    supported_credential_types={"api_key"},
+                )
+                target: str = SchemaField(description="Webhook target")
+                payload: dict = SchemaField(
+                    description="Webhook payload",
+                    default={},
+                )
+
+            class Output(BlockSchema):
+                status: str = SchemaField(description="Webhook status")
+                manager_type: str = SchemaField(description="Manager type used")
+
+            def __init__(self):
+                super().__init__(
+                    id="integrated-webhook-block",
+                    description="Uses integrated webhook manager",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=IntegratedWebhookBlock.Input,
+                    output_schema=IntegratedWebhookBlock.Output,
+                    webhook_config=BlockWebhookConfig(
+                        provider="integrated_webhooks",  # type: ignore
+                        webhook_type=TestWebhooksManager.WebhookType.TEST,
+                        resource_format="{target}",
+                    ),
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                # Get the webhook manager for this provider
+                managers = AutoRegistry.get_webhook_managers()
+                manager_class = managers.get("integrated_webhooks")
+
+                yield "status", "configured"
+                yield "manager_type", (
+                    manager_class.__name__ if manager_class else "none"
+                )
+
+        # Test the block
+        block = IntegratedWebhookBlock()
+
+        test_creds = APIKeyCredentials(
+            id="integrated-creds",
+            provider="integrated_webhooks",
+            api_key=SecretStr("key"),
+            title="Integrated Key",
+        )
+
+        outputs = {}
+        async for name, value in block.run(
+            IntegratedWebhookBlock.Input(
+                credentials={  # type: ignore
+                    "provider": "integrated_webhooks",
+                    "id": "integrated-creds",
+                    "type": "api_key",
+                },
+                target="test_target",
+            ),
+            credentials=test_creds,
+        ):
+            outputs[name] = value
+
+        assert outputs["status"] == "configured"
+        assert outputs["manager_type"] == "TestWebhooksManager"
+
+
+class TestWebhookEventHandling:
+    """Test webhook event handling in blocks."""
+
+    @pytest.mark.asyncio
+    async def test_webhook_event_processing_block(self):
+        """Test a block that processes webhook events."""
+
+        class WebhookEventBlock(Block):
+            """Block that processes webhook events."""
+
+            class Input(BlockSchema):
+                event_type: str = SchemaField(description="Type of webhook event")
+                payload: dict = SchemaField(description="Webhook payload")
+                verify_signature: bool = SchemaField(
+                    description="Whether to verify webhook signature",
+                    default=True,
+                )
+
+            class Output(BlockSchema):
+                processed: bool = SchemaField(description="Event was processed")
+                event_summary: str = SchemaField(description="Summary of event")
+                action_required: bool = SchemaField(description="Action required")
+
+            def __init__(self):
+                super().__init__(
+                    id="webhook-event-processor",
+                    description="Processes incoming webhook events",
+                    categories={BlockCategory.DEVELOPER_TOOLS},
+                    input_schema=WebhookEventBlock.Input,
+                    output_schema=WebhookEventBlock.Output,
+                )
+
+            async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+                # Process based on event type
+                event_type = input_data.event_type
+                payload = input_data.payload
+
+                if event_type == "created":
+                    summary = f"New item created: {payload.get('id', 'unknown')}"
+                    action_required = True
+                elif event_type == "updated":
+                    summary = f"Item updated: {payload.get('id', 'unknown')}"
+                    action_required = False
+                elif event_type == "deleted":
+                    summary = f"Item deleted: {payload.get('id', 'unknown')}"
+                    action_required = True
+                else:
+                    summary = f"Unknown event: {event_type}"
+                    action_required = False
+
+                yield "processed", True
+                yield "event_summary", summary
+                yield "action_required", action_required
+
+        # Test the block with different events
+        block = WebhookEventBlock()
+
+        # Test created event
+        outputs = {}
+        async for name, value in block.run(
+            WebhookEventBlock.Input(
+                event_type="created",
+                payload={"id": "123", "name": "Test Item"},
+            )
+        ):
+            outputs[name] = value
+
+        assert outputs["processed"] is True
+        assert "New item created: 123" in outputs["event_summary"]
+        assert outputs["action_required"] is True
+
+        # Test updated event
+        outputs = {}
+        async for name, value in block.run(
+            WebhookEventBlock.Input(
+                event_type="updated",
+                payload={"id": "456", "changes": ["name", "status"]},
+            )
+        ):
+            outputs[name] = value
+
+        assert outputs["processed"] is True
+        assert "Item updated: 456" in outputs["event_summary"]
+        assert outputs["action_required"] is False
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])
diff --git a/autogpt_platform/backend/test/server/test_con_manager.py b/autogpt_platform/backend/test/server/test_con_manager.py
deleted file mode 100644
index 80f9e08f5a48..000000000000
--- a/autogpt_platform/backend/test/server/test_con_manager.py
+++ /dev/null
@@ -1,118 +0,0 @@
-from datetime import datetime, timezone
-from unittest.mock import AsyncMock
-
-import pytest
-from fastapi import WebSocket
-
-from backend.data.execution import ExecutionResult, ExecutionStatus
-from backend.server.conn_manager import ConnectionManager
-from backend.server.model import Methods, WsMessage
-
-
-@pytest.fixture
-def connection_manager() -> ConnectionManager:
-    return ConnectionManager()
-
-
-@pytest.fixture
-def mock_websocket() -> AsyncMock:
-    websocket: AsyncMock = AsyncMock(spec=WebSocket)
-    websocket.send_text = AsyncMock()
-    return websocket
-
-
-@pytest.mark.asyncio
-async def test_connect(
-    connection_manager: ConnectionManager, mock_websocket: AsyncMock
-) -> None:
-    await connection_manager.connect(mock_websocket)
-    assert mock_websocket in connection_manager.active_connections
-    mock_websocket.accept.assert_called_once()
-
-
-def test_disconnect(
-    connection_manager: ConnectionManager, mock_websocket: AsyncMock
-) -> None:
-    connection_manager.active_connections.add(mock_websocket)
-    connection_manager.subscriptions["test_graph"] = {mock_websocket}
-
-    connection_manager.disconnect(mock_websocket)
-
-    assert mock_websocket not in connection_manager.active_connections
-    assert mock_websocket not in connection_manager.subscriptions["test_graph"]
-
-
-@pytest.mark.asyncio
-async def test_subscribe(
-    connection_manager: ConnectionManager, mock_websocket: AsyncMock
-) -> None:
-    await connection_manager.subscribe("test_graph", mock_websocket)
-    assert mock_websocket in connection_manager.subscriptions["test_graph"]
-
-
-@pytest.mark.asyncio
-async def test_unsubscribe(
-    connection_manager: ConnectionManager, mock_websocket: AsyncMock
-) -> None:
-    connection_manager.subscriptions["test_graph"] = {mock_websocket}
-
-    await connection_manager.unsubscribe("test_graph", mock_websocket)
-
-    assert "test_graph" not in connection_manager.subscriptions
-
-
-@pytest.mark.asyncio
-async def test_send_execution_result(
-    connection_manager: ConnectionManager, mock_websocket: AsyncMock
-) -> None:
-    connection_manager.subscriptions["test_graph"] = {mock_websocket}
-    result: ExecutionResult = ExecutionResult(
-        graph_id="test_graph",
-        graph_version=1,
-        graph_exec_id="test_exec_id",
-        node_exec_id="test_node_exec_id",
-        node_id="test_node_id",
-        block_id="test_block_id",
-        status=ExecutionStatus.COMPLETED,
-        input_data={"input1": "value1"},
-        output_data={"output1": ["result1"]},
-        add_time=datetime.now(tz=timezone.utc),
-        queue_time=None,
-        start_time=datetime.now(tz=timezone.utc),
-        end_time=datetime.now(tz=timezone.utc),
-    )
-
-    await connection_manager.send_execution_result(result)
-
-    mock_websocket.send_text.assert_called_once_with(
-        WsMessage(
-            method=Methods.EXECUTION_EVENT,
-            channel="test_graph",
-            data=result.model_dump(),
-        ).model_dump_json()
-    )
-
-
-@pytest.mark.asyncio
-async def test_send_execution_result_no_subscribers(
-    connection_manager: ConnectionManager, mock_websocket: AsyncMock
-) -> None:
-    result: ExecutionResult = ExecutionResult(
-        graph_id="test_graph",
-        graph_version=1,
-        graph_exec_id="test_exec_id",
-        node_exec_id="test_node_exec_id",
-        node_id="test_node_id",
-        block_id="test_block_id",
-        status=ExecutionStatus.COMPLETED,
-        input_data={"input1": "value1"},
-        output_data={"output1": ["result1"]},
-        add_time=datetime.now(),
-        queue_time=None,
-        start_time=datetime.now(),
-        end_time=datetime.now(),
-    )
-
-    await connection_manager.send_execution_result(result)
-
-    mock_websocket.send_text.assert_not_called()
diff --git a/autogpt_platform/backend/test/server/test_ws_api.py b/autogpt_platform/backend/test/server/test_ws_api.py
deleted file mode 100644
index cedcc935b404..000000000000
--- a/autogpt_platform/backend/test/server/test_ws_api.py
+++ /dev/null
@@ -1,154 +0,0 @@
-from typing import cast
-from unittest.mock import AsyncMock
-
-import pytest
-from fastapi import WebSocket, WebSocketDisconnect
-
-from backend.server.conn_manager import ConnectionManager
-from backend.server.ws_api import (
-    Methods,
-    WsMessage,
-    handle_subscribe,
-    handle_unsubscribe,
-    websocket_router,
-)
-
-
-@pytest.fixture
-def mock_websocket() -> AsyncMock:
-    return AsyncMock(spec=WebSocket)
-
-
-@pytest.fixture
-def mock_manager() -> AsyncMock:
-    return AsyncMock(spec=ConnectionManager)
-
-
-@pytest.mark.asyncio
-async def test_websocket_router_subscribe(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    mock_websocket.receive_text.side_effect = [
-        WsMessage(
-            method=Methods.SUBSCRIBE, data={"graph_id": "test_graph"}
-        ).model_dump_json(),
-        WebSocketDisconnect(),
-    ]
-
-    await websocket_router(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager)
-    )
-
-    mock_manager.connect.assert_called_once_with(mock_websocket)
-    mock_manager.subscribe.assert_called_once_with("test_graph", mock_websocket)
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"subscribe"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
-    mock_manager.disconnect.assert_called_once_with(mock_websocket)
-
-
-@pytest.mark.asyncio
-async def test_websocket_router_unsubscribe(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    mock_websocket.receive_text.side_effect = [
-        WsMessage(
-            method=Methods.UNSUBSCRIBE, data={"graph_id": "test_graph"}
-        ).model_dump_json(),
-        WebSocketDisconnect(),
-    ]
-
-    await websocket_router(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager)
-    )
-
-    mock_manager.connect.assert_called_once_with(mock_websocket)
-    mock_manager.unsubscribe.assert_called_once_with("test_graph", mock_websocket)
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"unsubscribe"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
-    mock_manager.disconnect.assert_called_once_with(mock_websocket)
-
-
-@pytest.mark.asyncio
-async def test_websocket_router_invalid_method(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    mock_websocket.receive_text.side_effect = [
-        WsMessage(method=Methods.EXECUTION_EVENT).model_dump_json(),
-        WebSocketDisconnect(),
-    ]
-
-    await websocket_router(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager)
-    )
-
-    mock_manager.connect.assert_called_once_with(mock_websocket)
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":false' in mock_websocket.send_text.call_args[0][0]
-    mock_manager.disconnect.assert_called_once_with(mock_websocket)
-
-
-@pytest.mark.asyncio
-async def test_handle_subscribe_success(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    message = WsMessage(method=Methods.SUBSCRIBE, data={"graph_id": "test_graph"})
-
-    await handle_subscribe(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager), message
-    )
-
-    mock_manager.subscribe.assert_called_once_with("test_graph", mock_websocket)
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"subscribe"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
-
-
-@pytest.mark.asyncio
-async def test_handle_subscribe_missing_data(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    message = WsMessage(method=Methods.SUBSCRIBE)
-
-    await handle_subscribe(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager), message
-    )
-
-    mock_manager.subscribe.assert_not_called()
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":false' in mock_websocket.send_text.call_args[0][0]
-
-
-@pytest.mark.asyncio
-async def test_handle_unsubscribe_success(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    message = WsMessage(method=Methods.UNSUBSCRIBE, data={"graph_id": "test_graph"})
-
-    await handle_unsubscribe(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager), message
-    )
-
-    mock_manager.unsubscribe.assert_called_once_with("test_graph", mock_websocket)
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"unsubscribe"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":true' in mock_websocket.send_text.call_args[0][0]
-
-
-@pytest.mark.asyncio
-async def test_handle_unsubscribe_missing_data(
-    mock_websocket: AsyncMock, mock_manager: AsyncMock
-) -> None:
-    message = WsMessage(method=Methods.UNSUBSCRIBE)
-
-    await handle_unsubscribe(
-        cast(WebSocket, mock_websocket), cast(ConnectionManager, mock_manager), message
-    )
-
-    mock_manager.unsubscribe.assert_not_called()
-    mock_websocket.send_text.assert_called_once()
-    assert '"method":"error"' in mock_websocket.send_text.call_args[0][0]
-    assert '"success":false' in mock_websocket.send_text.call_args[0][0]
diff --git a/autogpt_platform/backend/test/test_data_creator.py b/autogpt_platform/backend/test/test_data_creator.py
index 1f79386cc6e7..7901ac7574ce 100644
--- a/autogpt_platform/backend/test/test_data_creator.py
+++ b/autogpt_platform/backend/test/test_data_creator.py
@@ -1,10 +1,42 @@
+"""
+Test Data Creator for AutoGPT Platform
+
+This script creates test data for the AutoGPT platform database.
+
+Image/Video URL Domains Used:
+- Images: picsum.photos (for all image URLs - avatars, store listing images, etc.)
+- Videos: youtube.com (for store listing video URLs)
+
+Add these domains to your Next.js config:
+```javascript
+// next.config.js
+images: {
+  domains: ['picsum.photos'],
+}
+```
+"""
+
 import asyncio
 import random
 from datetime import datetime
 
 import prisma.enums
 from faker import Faker
-from prisma import Prisma
+from prisma import Json, Prisma
+from prisma.types import (
+    AgentBlockCreateInput,
+    AgentGraphCreateInput,
+    AgentNodeCreateInput,
+    AgentNodeLinkCreateInput,
+    AnalyticsDetailsCreateInput,
+    AnalyticsMetricsCreateInput,
+    APIKeyCreateInput,
+    CreditTransactionCreateInput,
+    IntegrationWebhookCreateInput,
+    ProfileCreateInput,
+    StoreListingReviewCreateInput,
+    UserCreateInput,
+)
 
 faker = Faker()
 
@@ -40,10 +72,26 @@
 
 
 def get_image():
-    url = faker.image_url()
-    while "placekitten.com" in url:
-        url = faker.image_url()
-    return url
+    """Generate a consistent image URL using picsum.photos service."""
+    width = random.choice([200, 300, 400, 500, 600, 800])
+    height = random.choice([200, 300, 400, 500, 600, 800])
+    # Use a random seed to get different images
+    seed = random.randint(1, 1000)
+    return f"https://picsum.photos/seed/{seed}/{width}/{height}"
+
+
+def get_video_url():
+    """Generate a consistent video URL using a placeholder service."""
+    # Using YouTube as a consistent source for video URLs
+    video_ids = [
+        "dQw4w9WgXcQ",  # Example video IDs
+        "9bZkp7q19f0",
+        "kJQP7kiw5Fk",
+        "RgKAFK5djSk",
+        "L_jWHffIx5E",
+    ]
+    video_id = random.choice(video_ids)
+    return f"https://www.youtube.com/watch?v={video_id}"
 
 
 async def main():
@@ -55,13 +103,13 @@ async def main():
     users = []
     for _ in range(NUM_USERS):
         user = await db.user.create(
-            data={
-                "id": str(faker.uuid4()),
-                "email": faker.unique.email(),
-                "name": faker.name(),
-                "metadata": prisma.Json({}),
-                "integrations": "",
-            }
+            data=UserCreateInput(
+                id=str(faker.uuid4()),
+                email=faker.unique.email(),
+                name=faker.name(),
+                metadata=prisma.Json({}),
+                integrations="",
+            )
         )
         users.append(user)
 
@@ -70,11 +118,11 @@ async def main():
     print(f"Inserting {NUM_AGENT_BLOCKS} agent blocks")
     for _ in range(NUM_AGENT_BLOCKS):
         block = await db.agentblock.create(
-            data={
-                "name": f"{faker.word()}_{str(faker.uuid4())[:8]}",
-                "inputSchema": "{}",
-                "outputSchema": "{}",
-            }
+            data=AgentBlockCreateInput(
+                name=f"{faker.word()}_{str(faker.uuid4())[:8]}",
+                inputSchema="{}",
+                outputSchema="{}",
+            )
         )
         agent_blocks.append(block)
 
@@ -86,13 +134,12 @@ async def main():
             random.randint(MIN_GRAPHS_PER_USER, MAX_GRAPHS_PER_USER)
         ):  # Adjust the range to create more graphs per user if desired
             graph = await db.agentgraph.create(
-                data={
-                    "name": faker.sentence(nb_words=3),
-                    "description": faker.text(max_nb_chars=200),
-                    "userId": user.id,
-                    "isActive": True,
-                    "isTemplate": False,
-                }
+                data=AgentGraphCreateInput(
+                    name=faker.sentence(nb_words=3),
+                    description=faker.text(max_nb_chars=200),
+                    userId=user.id,
+                    isActive=True,
+                )
             )
             agent_graphs.append(graph)
 
@@ -106,13 +153,13 @@ async def main():
         for _ in range(num_nodes):  # Create 5 AgentNodes per graph
             block = random.choice(agent_blocks)
             node = await db.agentnode.create(
-                data={
-                    "agentBlockId": block.id,
-                    "agentGraphId": graph.id,
-                    "agentGraphVersion": graph.version,
-                    "constantInput": "{}",
-                    "metadata": "{}",
-                }
+                data=AgentNodeCreateInput(
+                    agentBlockId=block.id,
+                    agentGraphId=graph.id,
+                    agentGraphVersion=graph.version,
+                    constantInput=Json({}),
+                    metadata=Json({}),
+                )
             )
             agent_nodes.append(node)
 
@@ -128,36 +175,65 @@ async def main():
                     "name": faker.sentence(nb_words=3),
                     "description": faker.text(max_nb_chars=200),
                     "userId": user.id,
-                    "agentId": graph.id,
-                    "agentVersion": graph.version,
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
                     "isActive": True,
                 }
             )
             agent_presets.append(preset)
 
-    # Insert UserAgents
-    user_agents = []
-    print(f"Inserting {NUM_USERS * MAX_AGENTS_PER_USER} user agents")
+    # Insert Profiles first (before LibraryAgents)
+    profiles = []
+    print(f"Inserting {NUM_USERS} profiles")
+    for user in users:
+        profile = await db.profile.create(
+            data=ProfileCreateInput(
+                userId=user.id,
+                name=user.name or faker.name(),
+                username=faker.unique.user_name(),
+                description=faker.text(),
+                links=[faker.url() for _ in range(3)],
+                avatarUrl=get_image(),
+            )
+        )
+        profiles.append(profile)
+
+    # Insert LibraryAgents
+    library_agents = []
+    print("Inserting library agents")
     for user in users:
         num_agents = random.randint(MIN_AGENTS_PER_USER, MAX_AGENTS_PER_USER)
-        for _ in range(num_agents):  # Create 1 UserAgent per user
-            graph = random.choice(agent_graphs)
-            preset = random.choice(agent_presets)
-            user_agent = await db.useragent.create(
+        # Get a shuffled list of graphs to ensure uniqueness per user
+        available_graphs = agent_graphs.copy()
+        random.shuffle(available_graphs)
+
+        # Limit to available unique graphs
+        num_agents = min(num_agents, len(available_graphs))
+
+        for i in range(num_agents):
+            graph = available_graphs[i]  # Use unique graph for each library agent
+
+            # Get creator profile for this graph's owner
+            creator_profile = next(
+                (p for p in profiles if p.userId == graph.userId), None
+            )
+
+            library_agent = await db.libraryagent.create(
                 data={
                     "userId": user.id,
-                    "agentId": graph.id,
-                    "agentVersion": graph.version,
-                    "agentPresetId": preset.id,
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
+                    "creatorId": creator_profile.id if creator_profile else None,
+                    "imageUrl": get_image() if random.random() < 0.5 else None,
+                    "useGraphIsActiveVersion": random.choice([True, False]),
                     "isFavorite": random.choice([True, False]),
                     "isCreatedByUser": random.choice([True, False]),
                     "isArchived": random.choice([True, False]),
                     "isDeleted": random.choice([True, False]),
                 }
             )
-            user_agents.append(user_agent)
+            library_agents.append(library_agent)
 
-    # Insert AgentGraphExecutions
     # Insert AgentGraphExecutions
     agent_graph_executions = []
     print(
@@ -170,7 +246,7 @@ async def main():
             MIN_EXECUTIONS_PER_GRAPH, MAX_EXECUTIONS_PER_GRAPH
         )
         for _ in range(num_executions):
-            matching_presets = [p for p in agent_presets if p.agentId == graph.id]
+            matching_presets = [p for p in agent_presets if p.agentGraphId == graph.id]
             preset = (
                 random.choice(matching_presets)
                 if matching_presets and random.random() < 0.5
@@ -254,13 +330,13 @@ async def main():
             source_node = nodes[0]
             sink_node = nodes[1]
             await db.agentnodelink.create(
-                data={
-                    "agentNodeSourceId": source_node.id,
-                    "sourceName": "output1",
-                    "agentNodeSinkId": sink_node.id,
-                    "sinkName": "input1",
-                    "isStatic": False,
-                }
+                data=AgentNodeLinkCreateInput(
+                    agentNodeSourceId=source_node.id,
+                    sourceName="output1",
+                    agentNodeSinkId=sink_node.id,
+                    sinkName="input1",
+                    isStatic=False,
+                )
             )
 
     # Insert AnalyticsDetails
@@ -268,12 +344,12 @@ async def main():
     for user in users:
         for _ in range(1):
             await db.analyticsdetails.create(
-                data={
-                    "userId": user.id,
-                    "type": faker.word(),
-                    "data": prisma.Json({}),
-                    "dataIndex": faker.word(),
-                }
+                data=AnalyticsDetailsCreateInput(
+                    userId=user.id,
+                    type=faker.word(),
+                    data=prisma.Json({}),
+                    dataIndex=faker.word(),
+                )
             )
 
     # Insert AnalyticsMetrics
@@ -281,12 +357,12 @@ async def main():
     for user in users:
         for _ in range(1):
             await db.analyticsmetrics.create(
-                data={
-                    "userId": user.id,
-                    "analyticMetric": faker.word(),
-                    "value": random.uniform(0, 100),
-                    "dataString": faker.word(),
-                }
+                data=AnalyticsMetricsCreateInput(
+                    userId=user.id,
+                    analyticMetric=faker.word(),
+                    value=random.uniform(0, 100),
+                    dataString=faker.word(),
+                )
             )
 
     # Insert CreditTransaction (formerly UserBlockCredit)
@@ -295,77 +371,67 @@ async def main():
         for _ in range(1):
             block = random.choice(agent_blocks)
             await db.credittransaction.create(
-                data={
-                    "transactionKey": str(faker.uuid4()),
-                    "userId": user.id,
-                    "blockId": block.id,
-                    "amount": random.randint(1, 100),
-                    "type": (
+                data=CreditTransactionCreateInput(
+                    transactionKey=str(faker.uuid4()),
+                    userId=user.id,
+                    amount=random.randint(1, 100),
+                    type=(
                         prisma.enums.CreditTransactionType.TOP_UP
                         if random.random() < 0.5
                         else prisma.enums.CreditTransactionType.USAGE
                     ),
-                    "metadata": prisma.Json({}),
-                }
+                    metadata=prisma.Json({}),
+                )
             )
 
-    # Insert Profiles
-    profiles = []
-    print(f"Inserting {NUM_USERS} profiles")
-    for user in users:
-        profile = await db.profile.create(
-            data={
-                "userId": user.id,
-                "name": user.name or faker.name(),
-                "username": faker.unique.user_name(),
-                "description": faker.text(),
-                "links": [faker.url() for _ in range(3)],
-                "avatarUrl": get_image(),
-            }
-        )
-        profiles.append(profile)
-
     # Insert StoreListings
     store_listings = []
-    print(f"Inserting {NUM_USERS} store listings")
+    print("Inserting store listings")
     for graph in agent_graphs:
         user = random.choice(users)
+        slug = faker.slug()
         listing = await db.storelisting.create(
             data={
-                "agentId": graph.id,
-                "agentVersion": graph.version,
+                "agentGraphId": graph.id,
+                "agentGraphVersion": graph.version,
                 "owningUserId": user.id,
-                "isApproved": random.choice([True, False]),
+                "hasApprovedVersion": random.choice([True, False]),
+                "slug": slug,
             }
         )
         store_listings.append(listing)
 
     # Insert StoreListingVersions
     store_listing_versions = []
-    print(f"Inserting {NUM_USERS} store listing versions")
+    print("Inserting store listing versions")
     for listing in store_listings:
-        graph = [g for g in agent_graphs if g.id == listing.agentId][0]
+        graph = [g for g in agent_graphs if g.id == listing.agentGraphId][0]
         version = await db.storelistingversion.create(
             data={
-                "agentId": graph.id,
-                "agentVersion": graph.version,
-                "slug": faker.slug(),
+                "agentGraphId": graph.id,
+                "agentGraphVersion": graph.version,
                 "name": graph.name or faker.sentence(nb_words=3),
                 "subHeading": faker.sentence(),
-                "videoUrl": faker.url(),
+                "videoUrl": get_video_url() if random.random() < 0.3 else None,
                 "imageUrls": [get_image() for _ in range(3)],
                 "description": faker.text(),
                 "categories": [faker.word() for _ in range(3)],
                 "isFeatured": random.choice([True, False]),
                 "isAvailable": True,
-                "isApproved": random.choice([True, False]),
                 "storeListingId": listing.id,
+                "submissionStatus": random.choice(
+                    [
+                        prisma.enums.SubmissionStatus.PENDING,
+                        prisma.enums.SubmissionStatus.APPROVED,
+                        prisma.enums.SubmissionStatus.REJECTED,
+                    ]
+                ),
             }
         )
         store_listing_versions.append(version)
 
     # Insert StoreListingReviews
-    print(f"Inserting {NUM_USERS * MAX_REVIEWS_PER_VERSION} store listing reviews")
+    print("Inserting store listing reviews")
     for version in store_listing_versions:
         # Create a copy of users list and shuffle it to avoid duplicates
         available_reviewers = users.copy()
@@ -380,56 +446,126 @@ async def main():
         # Take only the first num_reviews reviewers
         for reviewer in available_reviewers[:num_reviews]:
             await db.storelistingreview.create(
+                data=StoreListingReviewCreateInput(
+                    storeListingVersionId=version.id,
+                    reviewByUserId=reviewer.id,
+                    score=random.randint(1, 5),
+                    comments=faker.text(),
+                )
+            )
+
+    # Insert UserOnboarding for some users
+    print("Inserting user onboarding data")
+    for user in random.sample(
+        users, k=int(NUM_USERS * 0.7)
+    ):  # 70% of users have onboarding data
+        completed_steps = []
+        possible_steps = list(prisma.enums.OnboardingStep)
+        # Randomly complete some steps
+        if random.random() < 0.8:
+            num_steps = random.randint(1, len(possible_steps))
+            completed_steps = random.sample(possible_steps, k=num_steps)
+
+        try:
+            await db.useronboarding.create(
+                data={
+                    "userId": user.id,
+                    "completedSteps": completed_steps,
+                    "notificationDot": random.choice([True, False]),
+                    "notified": (
+                        random.sample(completed_steps, k=min(3, len(completed_steps)))
+                        if completed_steps
+                        else []
+                    ),
+                    "rewardedFor": (
+                        random.sample(completed_steps, k=min(2, len(completed_steps)))
+                        if completed_steps
+                        else []
+                    ),
+                    "usageReason": (
+                        random.choice(["personal", "business", "research", "learning"])
+                        if random.random() < 0.7
+                        else None
+                    ),
+                    "integrations": random.sample(
+                        ["github", "google", "discord", "slack"], k=random.randint(0, 2)
+                    ),
+                    "otherIntegrations": (
+                        faker.word() if random.random() < 0.2 else None
+                    ),
+                    "selectedStoreListingVersionId": (
+                        random.choice(store_listing_versions).id
+                        if store_listing_versions and random.random() < 0.5
+                        else None
+                    ),
+                    "agentInput": (
+                        Json({"test": "data"}) if random.random() < 0.3 else None
+                    ),
+                    "onboardingAgentExecutionId": (
+                        random.choice(agent_graph_executions).id
+                        if agent_graph_executions and random.random() < 0.3
+                        else None
+                    ),
+                    "agentRuns": random.randint(0, 10),
+                }
+            )
+        except Exception as e:
+            print(f"Error creating onboarding for user {user.id}: {e}")
+            # Try simpler version
+            await db.useronboarding.create(
                 data={
-                    "storeListingVersionId": version.id,
-                    "reviewByUserId": reviewer.id,
-                    "score": random.randint(1, 5),
-                    "comments": faker.text(),
+                    "userId": user.id,
                 }
             )
 
-    # Insert StoreListingSubmissions
-    print(f"Inserting {NUM_USERS} store listing submissions")
-    for listing in store_listings:
-        version = random.choice(store_listing_versions)
-        reviewer = random.choice(users)
-        status: prisma.enums.SubmissionStatus = random.choice(
-            [
-                prisma.enums.SubmissionStatus.PENDING,
-                prisma.enums.SubmissionStatus.APPROVED,
-                prisma.enums.SubmissionStatus.REJECTED,
-            ]
-        )
-        await db.storelistingsubmission.create(
-            data={
-                "storeListingId": listing.id,
-                "storeListingVersionId": version.id,
-                "reviewerId": reviewer.id,
-                "Status": status,
-                "reviewComments": faker.text(),
-            }
-        )
+    # Insert IntegrationWebhooks for some users
+    print("Inserting integration webhooks")
+    for user in random.sample(
+        users, k=int(NUM_USERS * 0.3)
+    ):  # 30% of users have webhooks
+        for _ in range(random.randint(1, 3)):
+            await db.integrationwebhook.create(
+                data=IntegrationWebhookCreateInput(
+                    userId=user.id,
+                    provider=random.choice(["github", "slack", "discord"]),
+                    credentialsId=str(faker.uuid4()),
+                    webhookType=random.choice(["repo", "channel", "server"]),
+                    resource=faker.slug(),
+                    events=[
+                        random.choice(["created", "updated", "deleted"])
+                        for _ in range(random.randint(1, 3))
+                    ],
+                    config=prisma.Json({"url": faker.url()}),
+                    secret=str(faker.sha256()),
+                    providerWebhookId=str(faker.uuid4()),
+                )
+            )
 
     # Insert APIKeys
     print(f"Inserting {NUM_USERS} api keys")
     for user in users:
         await db.apikey.create(
-            data={
-                "name": faker.word(),
-                "prefix": str(faker.uuid4())[:8],
-                "postfix": str(faker.uuid4())[-8:],
-                "key": str(faker.sha256()),
-                "status": prisma.enums.APIKeyStatus.ACTIVE,
-                "permissions": [
+            data=APIKeyCreateInput(
+                name=faker.word(),
+                prefix=str(faker.uuid4())[:8],
+                postfix=str(faker.uuid4())[-8:],
+                key=str(faker.sha256()),
+                status=prisma.enums.APIKeyStatus.ACTIVE,
+                permissions=[
                     prisma.enums.APIKeyPermission.EXECUTE_GRAPH,
                     prisma.enums.APIKeyPermission.READ_GRAPH,
                 ],
-                "description": faker.text(),
-                "userId": user.id,
-            }
+                description=faker.text(),
+                userId=user.id,
+            )
         )
 
+    # Refresh materialized views
+    print("Refreshing materialized views...")
+    await db.execute_raw("SELECT refresh_store_materialized_views();")
+
     await db.disconnect()
+    print("Test data creation completed successfully!")
 
 
 if __name__ == "__main__":
diff --git a/autogpt_platform/backend/test/test_data_updater.py b/autogpt_platform/backend/test/test_data_updater.py
new file mode 100755
index 000000000000..561a5da21a6b
--- /dev/null
+++ b/autogpt_platform/backend/test/test_data_updater.py
@@ -0,0 +1,323 @@
+#!/usr/bin/env python3
+"""
+Test Data Updater for Store Materialized Views
+
+This script updates existing test data to trigger changes in the materialized views:
+- mv_agent_run_counts: Updated by creating new AgentGraphExecution records
+- mv_review_stats: Updated by creating new StoreListingReview records
+
+Run this after test_data_creator.py to test that materialized views update correctly.
+"""
+
+import asyncio
+import random
+from datetime import datetime, timedelta
+
+import prisma.enums
+from faker import Faker
+from prisma import Json, Prisma
+
+faker = Faker()
+
+
+async def main():
+    db = Prisma()
+    await db.connect()
+
+    print("Starting test data updates for materialized views...")
+    print("=" * 60)
+
+    # Get existing data
+    users = await db.user.find_many(take=50)
+    agent_graphs = await db.agentgraph.find_many(where={"isActive": True}, take=50)
+    store_listings = await db.storelisting.find_many(
+        where={"hasApprovedVersion": True}, include={"Versions": True}, take=30
+    )
+    agent_nodes = await db.agentnode.find_many(take=100)
+
+    if not all([users, agent_graphs, store_listings]):
+        print(
+            "ERROR: Not enough test data found. Please run test_data_creator.py first."
+        )
+        await db.disconnect()
+        return
+
+    print(
+        f"Found {len(users)} users, {len(agent_graphs)} graphs, {len(store_listings)} store listings"
+    )
+    print()
+
+    # 1. Add new AgentGraphExecutions to update mv_agent_run_counts
+    print("1. Adding new agent graph executions...")
+    print("-" * 40)
+
+    new_executions_count = 0
+    execution_data = []
+
+    for graph in random.sample(agent_graphs, min(20, len(agent_graphs))):
+        # Add 5-15 new executions per selected graph
+        num_new_executions = random.randint(5, 15)
+        for _ in range(num_new_executions):
+            user = random.choice(users)
+            execution_data.append(
+                {
+                    "agentGraphId": graph.id,
+                    "agentGraphVersion": graph.version,
+                    "userId": user.id,
+                    "executionStatus": random.choice(
+                        [
+                            prisma.enums.AgentExecutionStatus.COMPLETED,
+                            prisma.enums.AgentExecutionStatus.FAILED,
+                            prisma.enums.AgentExecutionStatus.RUNNING,
+                        ]
+                    ),
+                    "startedAt": faker.date_time_between(
+                        start_date="-7d", end_date="now"
+                    ),
+                    "stats": Json(
+                        {
+                            "duration": random.randint(100, 5000),
+                            "blocks_executed": random.randint(1, 10),
+                        }
+                    ),
+                }
+            )
+            new_executions_count += 1
+
+    # Batch create executions
+    await db.agentgraphexecution.create_many(data=execution_data)
+    print(f"✓ Created {new_executions_count} new executions")
+
+    # Get the created executions for node executions
+    recent_executions = await db.agentgraphexecution.find_many(
+        take=new_executions_count, order={"createdAt": "desc"}
+    )
+
+    # 2. Add corresponding AgentNodeExecutions
+    print("\n2. Adding agent node executions...")
+    print("-" * 40)
+
+    node_execution_data = []
+    for execution in recent_executions:
+        # Get nodes for this graph
+        graph_nodes = [
+            n for n in agent_nodes if n.agentGraphId == execution.agentGraphId
+        ]
+        if graph_nodes:
+            for node in random.sample(graph_nodes, min(3, len(graph_nodes))):
+                node_execution_data.append(
+                    {
+                        "agentGraphExecutionId": execution.id,
+                        "agentNodeId": node.id,
+                        "executionStatus": execution.executionStatus,
+                        "addedTime": datetime.now(),
+                        "startedTime": datetime.now()
+                        - timedelta(minutes=random.randint(1, 10)),
+                        "endedTime": (
+                            datetime.now()
+                            if execution.executionStatus
+                            == prisma.enums.AgentExecutionStatus.COMPLETED
+                            else None
+                        ),
+                    }
+                )
+
+    await db.agentnodeexecution.create_many(data=node_execution_data)
+    print(f"✓ Created {len(node_execution_data)} node executions")
+
+    # 3. Add new StoreListingReviews to update mv_review_stats
+    print("\n3. Adding new store listing reviews...")
+    print("-" * 40)
+
+    new_reviews_count = 0
+
+    for listing in store_listings:
+        if not listing.Versions:
+            continue
+
+        # Get approved versions
+        approved_versions = [
+            v
+            for v in listing.Versions
+            if v.submissionStatus == prisma.enums.SubmissionStatus.APPROVED
+        ]
+        if not approved_versions:
+            continue
+
+        # Pick a version to add reviews to
+        version = random.choice(approved_versions)
+
+        # Get existing reviews for this version to avoid duplicates
+        existing_reviews = await db.storelistingreview.find_many(
+            where={"storeListingVersionId": version.id}
+        )
+        existing_reviewer_ids = {r.reviewByUserId for r in existing_reviews}
+
+        # Find users who haven't reviewed this version yet
+        available_reviewers = [u for u in users if u.id not in existing_reviewer_ids]
+
+        if available_reviewers:
+            # Add 2-5 new reviews
+            num_new_reviews = min(random.randint(2, 5), len(available_reviewers))
+            selected_reviewers = random.sample(available_reviewers, num_new_reviews)
+
+            for reviewer in selected_reviewers:
+                # Bias towards positive reviews (4-5 stars)
+                score = random.choices([1, 2, 3, 4, 5], weights=[5, 10, 20, 40, 25])[0]
+
+                await db.storelistingreview.create(
+                    data={
+                        "storeListingVersionId": version.id,
+                        "reviewByUserId": reviewer.id,
+                        "score": score,
+                        "comments": (
+                            faker.text(max_nb_chars=200)
+                            if random.random() < 0.7
+                            else None
+                        ),
+                    }
+                )
+                new_reviews_count += 1
+
+    print(f"✓ Created {new_reviews_count} new reviews")
+
+    # 4. Update some store listing versions (change categories, featured status)
+    print("\n4. Updating store listing versions...")
+    print("-" * 40)
+
+    updates_count = 0
+    for listing in random.sample(store_listings, min(10, len(store_listings))):
+        if listing.Versions:
+            version = random.choice(listing.Versions)
+            if version.submissionStatus == prisma.enums.SubmissionStatus.APPROVED:
+                # Toggle featured status or update categories
+                new_categories = random.sample(
+                    [
+                        "productivity",
+                        "ai",
+                        "automation",
+                        "data",
+                        "social",
+                        "marketing",
+                        "development",
+                        "analytics",
+                    ],
+                    k=random.randint(2, 4),
+                )
+
+                await db.storelistingversion.update(
+                    where={"id": version.id},
+                    data={
+                        "isFeatured": (
+                            not version.isFeatured
+                            if random.random() < 0.3
+                            else version.isFeatured
+                        ),
+                        "categories": new_categories,
+                        "updatedAt": datetime.now(),
+                    },
+                )
+                updates_count += 1
+
+    print(f"✓ Updated {updates_count} store listing versions")
+
+    # 5. Create some new credit transactions
+    print("\n5. Adding credit transactions...")
+    print("-" * 40)
+
+    transaction_count = 0
+    for user in random.sample(users, min(30, len(users))):
+        # Add 1-3 transactions per user
+        for _ in range(random.randint(1, 3)):
+            transaction_type = random.choice(
+                [
+                    prisma.enums.CreditTransactionType.USAGE,
+                    prisma.enums.CreditTransactionType.TOP_UP,
+                    prisma.enums.CreditTransactionType.GRANT,
+                ]
+            )
+
+            amount = (
+                random.randint(10, 500)
+                if transaction_type == prisma.enums.CreditTransactionType.TOP_UP
+                else -random.randint(1, 50)
+            )
+
+            await db.credittransaction.create(
+                data={
+                    "userId": user.id,
+                    "amount": amount,
+                    "type": transaction_type,
+                    "metadata": Json(
+                        {
+                            "source": "test_updater",
+                            "timestamp": datetime.now().isoformat(),
+                        }
+                    ),
+                }
+            )
+            transaction_count += 1
+
+    print(f"✓ Created {transaction_count} credit transactions")
+
+    # 6. Refresh materialized views
+    print("\n6. Refreshing materialized views...")
+    print("-" * 40)
+
+    try:
+        await db.execute_raw("SELECT refresh_store_materialized_views();")
+        print("✓ Materialized views refreshed successfully")
+    except Exception as e:
+        print(f"⚠ Warning: Could not refresh materialized views: {e}")
+        print(
+            "  You may need to refresh them manually with: SELECT refresh_store_materialized_views();"
+        )
+
+    # 7. Verify the updates
+    print("\n7. Verifying updates...")
+    print("-" * 40)
+
+    # Check agent run counts
+    run_counts = await db.query_raw(
+        "SELECT COUNT(*) as view_count FROM mv_agent_run_counts"
+    )
+    print(f"✓ mv_agent_run_counts has {run_counts[0]['view_count']} entries")
+
+    # Check review stats
+    review_stats = await db.query_raw(
+        "SELECT COUNT(*) as view_count FROM mv_review_stats"
+    )
+    print(f"✓ mv_review_stats has {review_stats[0]['view_count']} entries")
+
+    # Sample some data from the views
+    print("\nSample data from materialized views:")
+
+    sample_runs = await db.query_raw(
+        "SELECT * FROM mv_agent_run_counts ORDER BY run_count DESC LIMIT 5"
+    )
+    print("\nTop 5 agents by run count:")
+    for row in sample_runs:
+        print(f"  - Agent {row['agentGraphId'][:8]}...: {row['run_count']} runs")
+
+    sample_reviews = await db.query_raw(
+        "SELECT * FROM mv_review_stats ORDER BY avg_rating DESC NULLS LAST LIMIT 5"
+    )
+    print("\nTop 5 store listings by rating:")
+    for row in sample_reviews:
+        avg_rating = row["avg_rating"] if row["avg_rating"] is not None else 0.0
+        print(
+            f"  - Listing {row['storeListingId'][:8]}...: {avg_rating:.2f} ⭐ ({row['review_count']} reviews)"
+        )
+
+    await db.disconnect()
+
+    print("\n" + "=" * 60)
+    print("Test data update completed successfully!")
+    print("The materialized views should now reflect the updated data.")
+    print(
+        "\nTo manually refresh views, run: SELECT refresh_store_materialized_views();"
+    )
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/autogpt_platform/backend/test/util/test_decorator.py b/autogpt_platform/backend/test/util/test_decorator.py
deleted file mode 100644
index de38b747d8ae..000000000000
--- a/autogpt_platform/backend/test/util/test_decorator.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import time
-
-from backend.util.decorator import error_logged, time_measured
-
-
-@time_measured
-def example_function(a: int, b: int, c: int) -> int:
-    time.sleep(0.5)
-    return a + b + c
-
-
-@error_logged
-def example_function_with_error(a: int, b: int, c: int) -> int:
-    raise ValueError("This is a test error")
-
-
-def test_timer_decorator():
-    info, res = example_function(1, 2, 3)
-    assert info.cpu_time >= 0
-    assert info.wall_time >= 0.4
-    assert res == 6
-
-
-def test_error_decorator():
-    res = example_function_with_error(1, 2, 3)
-    assert res is None
diff --git a/autogpt_platform/backend/test/util/test_request.py b/autogpt_platform/backend/test/util/test_request.py
deleted file mode 100644
index 703ef9eb5bb4..000000000000
--- a/autogpt_platform/backend/test/util/test_request.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import pytest
-
-from backend.util.request import validate_url
-
-
-def test_validate_url():
-    # Rejected IP ranges
-    with pytest.raises(ValueError):
-        validate_url("localhost", [])
-
-    with pytest.raises(ValueError):
-        validate_url("192.168.1.1", [])
-
-    with pytest.raises(ValueError):
-        validate_url("127.0.0.1", [])
-
-    with pytest.raises(ValueError):
-        validate_url("0.0.0.0", [])
-
-    # Normal URLs
-    assert validate_url("google.com/a?b=c", []) == "http://google.com/a?b=c"
-    assert validate_url("github.com?key=!@!@", []) == "http://github.com?key=!@!@"
-
-    # Scheme Enforcement
-    with pytest.raises(ValueError):
-        validate_url("ftp://example.com", [])
-    with pytest.raises(ValueError):
-        validate_url("file://example.com", [])
-
-    # International domain that converts to punycode - should be allowed if public
-    assert validate_url("http://xn--exmple-cua.com", []) == "http://xn--exmple-cua.com"
-    # If the domain fails IDNA encoding or is invalid, it should raise an error
-    with pytest.raises(ValueError):
-        validate_url("http://exa◌mple.com", [])
-
-    # IPv6 Addresses
-    with pytest.raises(ValueError):
-        validate_url("::1", [])  # IPv6 loopback should be blocked
-    with pytest.raises(ValueError):
-        validate_url("http://[::1]", [])  # IPv6 loopback in URL form
-
-    # Suspicious Characters in Hostname
-    with pytest.raises(ValueError):
-        validate_url("http://example_underscore.com", [])
-    with pytest.raises(ValueError):
-        validate_url("http://exa mple.com", [])  # Space in hostname
-
-    # Malformed URLs
-    with pytest.raises(ValueError):
-        validate_url("http://", [])  # No hostname
-    with pytest.raises(ValueError):
-        validate_url("://missing-scheme", [])  # Missing proper scheme
-
-    # Trusted Origins
-    trusted = ["internal-api.company.com", "10.0.0.5"]
-    assert (
-        validate_url("internal-api.company.com", trusted)
-        == "http://internal-api.company.com"
-    )
-    assert validate_url("10.0.0.5", ["10.0.0.5"]) == "http://10.0.0.5"
-
-    # Special Characters in Path or Query
-    assert (
-        validate_url("example.com/path%20with%20spaces", [])
-        == "http://example.com/path%20with%20spaces"
-    )
-
-    # Backslashes should be replaced with forward slashes
-    assert (
-        validate_url("http://example.com\\backslash", [])
-        == "http://example.com/backslash"
-    )
-
-    # Check defaulting scheme behavior for valid domains
-    assert validate_url("example.com", []) == "http://example.com"
-    assert validate_url("https://secure.com", []) == "https://secure.com"
-
-    # Non-ASCII Characters in Query/Fragment
-    assert validate_url("example.com?param=äöü", []) == "http://example.com?param=äöü"
diff --git a/autogpt_platform/backend/test/util/test_retry.py b/autogpt_platform/backend/test/util/test_retry.py
deleted file mode 100644
index d3192f4f9fac..000000000000
--- a/autogpt_platform/backend/test/util/test_retry.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import asyncio
-
-import pytest
-
-from backend.util.retry import conn_retry
-
-
-def test_conn_retry_sync_function():
-    retry_count = 0
-
-    @conn_retry("Test", "Test function", max_retry=2, max_wait=0.1, min_wait=0.1)
-    def test_function():
-        nonlocal retry_count
-        retry_count -= 1
-        if retry_count > 0:
-            raise ValueError("Test error")
-        return "Success"
-
-    retry_count = 2
-    res = test_function()
-    assert res == "Success"
-
-    retry_count = 100
-    with pytest.raises(ValueError) as e:
-        test_function()
-        assert str(e.value) == "Test error"
-
-
-@pytest.mark.asyncio
-async def test_conn_retry_async_function():
-    retry_count = 0
-
-    @conn_retry("Test", "Test function", max_retry=2, max_wait=0.1, min_wait=0.1)
-    async def test_function():
-        nonlocal retry_count
-        await asyncio.sleep(1)
-        retry_count -= 1
-        if retry_count > 0:
-            raise ValueError("Test error")
-        return "Success"
-
-    retry_count = 2
-    res = await test_function()
-    assert res == "Success"
-
-    retry_count = 100
-    with pytest.raises(ValueError) as e:
-        await test_function()
-        assert str(e.value) == "Test error"
diff --git a/autogpt_platform/backend/test/util/test_service.py b/autogpt_platform/backend/test/util/test_service.py
deleted file mode 100644
index a20810dbb1e5..000000000000
--- a/autogpt_platform/backend/test/util/test_service.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import pytest
-
-from backend.util.service import AppService, expose, get_service_client
-
-TEST_SERVICE_PORT = 8765
-
-
-class ServiceTest(AppService):
-    def __init__(self):
-        super().__init__()
-
-    @classmethod
-    def get_port(cls) -> int:
-        return TEST_SERVICE_PORT
-
-    @expose
-    def add(self, a: int, b: int) -> int:
-        return a + b
-
-    @expose
-    def subtract(self, a: int, b: int) -> int:
-        return a - b
-
-    @expose
-    def fun_with_async(self, a: int, b: int) -> int:
-        async def add_async(a: int, b: int) -> int:
-            return a + b
-
-        return self.run_and_wait(add_async(a, b))
-
-
-@pytest.mark.asyncio(scope="session")
-async def test_service_creation(server):
-    with ServiceTest():
-        client = get_service_client(ServiceTest)
-        assert client.add(5, 3) == 8
-        assert client.subtract(10, 4) == 6
-        assert client.fun_with_async(5, 3) == 8
diff --git a/autogpt_platform/backend/test/util/test_type.py b/autogpt_platform/backend/test/util/test_type.py
deleted file mode 100644
index f9a14d10a00c..000000000000
--- a/autogpt_platform/backend/test/util/test_type.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from backend.util.type import convert
-
-
-def test_type_conversion():
-    assert convert(5.5, int) == 5
-    assert convert("5.5", int) == 5
-    assert convert([1, 2, 3], int) == 3
-
-    assert convert("5.5", float) == 5.5
-    assert convert(5, float) == 5.0
-
-    assert convert("True", bool) is True
-    assert convert("False", bool) is False
-
-    assert convert(5, str) == "5"
-    assert convert({"a": 1, "b": 2}, str) == '{"a": 1, "b": 2}'
-    assert convert([1, 2, 3], str) == "[1, 2, 3]"
-
-    assert convert("5", list) == ["5"]
-    assert convert((1, 2, 3), list) == [1, 2, 3]
-    assert convert({1, 2, 3}, list) == [1, 2, 3]
-
-    assert convert("5", dict) == {"value": 5}
-    assert convert('{"a": 1, "b": 2}', dict) == {"a": 1, "b": 2}
-    assert convert([1, 2, 3], dict) == {0: 1, 1: 2, 2: 3}
-    assert convert((1, 2, 3), dict) == {0: 1, 1: 2, 2: 3}
-
-    from typing import List
-
-    assert convert("5", List[int]) == [5]
-    assert convert("[5,4,2]", List[int]) == [5, 4, 2]
-    assert convert([5, 4, 2], List[str]) == ["5", "4", "2"]
diff --git a/autogpt_platform/db/docker/.gitignore b/autogpt_platform/db/docker/.gitignore
new file mode 100644
index 000000000000..a8c501f97b5f
--- /dev/null
+++ b/autogpt_platform/db/docker/.gitignore
@@ -0,0 +1,4 @@
+volumes/db/data
+volumes/storage
+test.http
+docker-compose.override.yml
diff --git a/autogpt_platform/db/docker/README.md b/autogpt_platform/db/docker/README.md
new file mode 100644
index 000000000000..9ab215b9027f
--- /dev/null
+++ b/autogpt_platform/db/docker/README.md
@@ -0,0 +1,3 @@
+# Supabase Docker
+
+This is a minimal Docker Compose setup for self-hosting Supabase. Follow the steps [here](https://supabase.com/docs/guides/hosting/docker) to get started.
diff --git a/autogpt_platform/db/docker/dev/data.sql b/autogpt_platform/db/docker/dev/data.sql
new file mode 100644
index 000000000000..2328004184a7
--- /dev/null
+++ b/autogpt_platform/db/docker/dev/data.sql
@@ -0,0 +1,48 @@
+create table profiles (
+  id uuid references auth.users not null,
+  updated_at timestamp with time zone,
+  username text unique,
+  avatar_url text,
+  website text,
+
+  primary key (id),
+  unique(username),
+  constraint username_length check (char_length(username) >= 3)
+);
+
+alter table profiles enable row level security;
+
+create policy "Public profiles are viewable by the owner."
+  on profiles for select
+  using ( auth.uid() = id );
+
+create policy "Users can insert their own profile."
+  on profiles for insert
+  with check ( auth.uid() = id );
+
+create policy "Users can update own profile."
+  on profiles for update
+  using ( auth.uid() = id );
+
+-- Set up Realtime
+begin;
+  drop publication if exists supabase_realtime;
+  create publication supabase_realtime;
+commit;
+alter publication supabase_realtime add table profiles;
+
+-- Set up Storage
+insert into storage.buckets (id, name)
+values ('avatars', 'avatars');
+
+create policy "Avatar images are publicly accessible."
+  on storage.objects for select
+  using ( bucket_id = 'avatars' );
+
+create policy "Anyone can upload an avatar."
+  on storage.objects for insert
+  with check ( bucket_id = 'avatars' );
+
+create policy "Anyone can update an avatar."
+  on storage.objects for update
+  with check ( bucket_id = 'avatars' );
diff --git a/autogpt_platform/db/docker/dev/docker-compose.dev.yml b/autogpt_platform/db/docker/dev/docker-compose.dev.yml
new file mode 100644
index 000000000000..ca19a0ad7814
--- /dev/null
+++ b/autogpt_platform/db/docker/dev/docker-compose.dev.yml
@@ -0,0 +1,34 @@
+version: "3.8"
+
+services:
+  studio:
+    build:
+      context: ..
+      dockerfile: studio/Dockerfile
+      target: dev
+    ports:
+      - 8082:8082
+  mail:
+    container_name: supabase-mail
+    image: inbucket/inbucket:3.0.3
+    ports:
+      - '2500:2500' # SMTP
+      - '9000:9000' # web interface
+      - '1100:1100' # POP3
+  auth:
+    environment:
+      - GOTRUE_SMTP_USER=
+      - GOTRUE_SMTP_PASS=
+  meta:
+    ports:
+      - 5555:8080
+  db:
+    restart: 'no'
+    volumes:
+      # Always use a fresh database when developing
+      - /var/lib/postgresql/data
+      # Seed data should be inserted last (alphabetical order)
+      - ./dev/data.sql:/docker-entrypoint-initdb.d/seed.sql
+  storage:
+    volumes:
+      - /var/lib/storage
diff --git a/autogpt_platform/db/docker/docker-compose.s3.yml b/autogpt_platform/db/docker/docker-compose.s3.yml
new file mode 100644
index 000000000000..043691a607b2
--- /dev/null
+++ b/autogpt_platform/db/docker/docker-compose.s3.yml
@@ -0,0 +1,94 @@
+services:
+
+  minio:
+    image: minio/minio
+    ports:
+      - '9000:9000'
+      - '9001:9001'
+    environment:
+      MINIO_ROOT_USER: supa-storage
+      MINIO_ROOT_PASSWORD: secret1234
+    command: server --console-address ":9001" /data
+    healthcheck:
+      test: [ "CMD", "curl", "-f", "http://minio:9000/minio/health/live" ]
+      interval: 2s
+      timeout: 10s
+      retries: 5
+    volumes:
+      - ./volumes/storage:/data:z
+
+  minio-createbucket:
+    image: minio/mc
+    depends_on:
+      minio:
+        condition: service_healthy
+    entrypoint: >
+      /bin/sh -c "
+      /usr/bin/mc alias set supa-minio http://minio:9000 supa-storage secret1234;
+      /usr/bin/mc mb supa-minio/stub;
+      exit 0;
+      "
+
+  storage:
+    container_name: supabase-storage
+    image: supabase/storage-api:v1.11.13
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+      rest:
+        condition: service_started
+      imgproxy:
+        condition: service_started
+      minio:
+        condition: service_healthy
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "wget",
+          "--no-verbose",
+          "--tries=1",
+          "--spider",
+          "http://localhost:5000/status"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    restart: unless-stopped
+    environment:
+      ANON_KEY: ${ANON_KEY}
+      SERVICE_KEY: ${SERVICE_ROLE_KEY}
+      POSTGREST_URL: http://rest:3000
+      PGRST_JWT_SECRET: ${JWT_SECRET}
+      DATABASE_URL: postgres://supabase_storage_admin:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB}
+      FILE_SIZE_LIMIT: 52428800
+      STORAGE_BACKEND: s3
+      GLOBAL_S3_BUCKET: stub
+      GLOBAL_S3_ENDPOINT: http://minio:9000
+      GLOBAL_S3_PROTOCOL: http
+      GLOBAL_S3_FORCE_PATH_STYLE: true
+      AWS_ACCESS_KEY_ID: supa-storage
+      AWS_SECRET_ACCESS_KEY: secret1234
+      AWS_DEFAULT_REGION: stub
+      FILE_STORAGE_BACKEND_PATH: /var/lib/storage
+      TENANT_ID: stub
+      # TODO: https://github.com/supabase/storage-api/issues/55
+      REGION: stub
+      ENABLE_IMAGE_TRANSFORMATION: "true"
+      IMGPROXY_URL: http://imgproxy:5001
+    volumes:
+      - ./volumes/storage:/var/lib/storage:z
+
+  imgproxy:
+    container_name: supabase-imgproxy
+    image: darthsim/imgproxy:v3.8.0
+    healthcheck:
+      test: [ "CMD", "imgproxy", "health" ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    environment:
+      IMGPROXY_BIND: ":5001"
+      IMGPROXY_USE_ETAG: "true"
+      IMGPROXY_ENABLE_WEBP_DETECTION: ${IMGPROXY_ENABLE_WEBP_DETECTION}
diff --git a/autogpt_platform/db/docker/docker-compose.yml b/autogpt_platform/db/docker/docker-compose.yml
new file mode 100644
index 000000000000..9774cccb331e
--- /dev/null
+++ b/autogpt_platform/db/docker/docker-compose.yml
@@ -0,0 +1,638 @@
+# Usage
+#   Start:              docker compose up
+#   With helpers:       docker compose -f docker-compose.yml -f ./dev/docker-compose.dev.yml up
+#   Stop:               docker compose down
+#   Destroy:            docker compose -f docker-compose.yml -f ./dev/docker-compose.dev.yml down -v --remove-orphans
+#   Reset everything:  ./reset.sh
+
+# Environment Variable Loading Order (first → last, later overrides earlier):
+# 1. ../../.env.default - Default values for all Supabase settings
+# 2. ../../.env - User's custom configuration (if exists)
+# 3. ./.env - Local overrides specific to db/docker (if exists)
+# 4. environment key - Service-specific overrides defined below
+# 5. Shell environment - Variables exported before running docker compose
+
+name: supabase
+
+# Common env_file configuration for all Supabase services
+x-supabase-env-files: &supabase-env-files
+  env_file:
+    - ../../.env.default      # Base defaults from platform root
+    - path: ../../.env        # User overrides from platform root (optional)
+      required: false
+    - path: ./.env            # Local overrides for db/docker (optional)
+      required: false
+
+# Common Supabase environment - hardcoded defaults to avoid variable substitution
+x-supabase-env: &supabase-env
+  # Core PostgreSQL settings
+  POSTGRES_PASSWORD: your-super-secret-and-long-postgres-password
+  POSTGRES_HOST: db
+  POSTGRES_PORT: "5432"
+  POSTGRES_DB: postgres
+  
+  # Authentication & Security
+  JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+  ANON_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+  SERVICE_ROLE_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+  DASHBOARD_USERNAME: supabase
+  DASHBOARD_PASSWORD: this_password_is_insecure_and_should_be_updated
+  SECRET_KEY_BASE: UpNVntn3cDxHJpq99YMc1T1AQgQpc8kfYTuRgBiYa15BLrx8etQoXz3gZv1/u2oq
+  VAULT_ENC_KEY: your-encryption-key-32-chars-min
+  
+  # URLs and Endpoints
+  SITE_URL: http://localhost:3000
+  API_EXTERNAL_URL: http://localhost:8000
+  SUPABASE_PUBLIC_URL: http://localhost:8000
+  ADDITIONAL_REDIRECT_URLS: ""
+  
+  # Feature Flags
+  DISABLE_SIGNUP: "false"
+  ENABLE_EMAIL_SIGNUP: "true"
+  ENABLE_EMAIL_AUTOCONFIRM: "false"
+  ENABLE_ANONYMOUS_USERS: "false"
+  ENABLE_PHONE_SIGNUP: "true"
+  ENABLE_PHONE_AUTOCONFIRM: "true"
+  FUNCTIONS_VERIFY_JWT: "false"
+  IMGPROXY_ENABLE_WEBP_DETECTION: "true"
+  
+  # Email/SMTP Configuration
+  SMTP_ADMIN_EMAIL: admin@example.com
+  SMTP_HOST: supabase-mail
+  SMTP_PORT: "2500"
+  SMTP_USER: fake_mail_user
+  SMTP_PASS: fake_mail_password
+  SMTP_SENDER_NAME: fake_sender
+  
+  # Mailer URLs
+  MAILER_URLPATHS_CONFIRMATION: /auth/v1/verify
+  MAILER_URLPATHS_INVITE: /auth/v1/verify
+  MAILER_URLPATHS_RECOVERY: /auth/v1/verify
+  MAILER_URLPATHS_EMAIL_CHANGE: /auth/v1/verify
+  
+  # JWT Settings
+  JWT_EXPIRY: "3600"
+  
+  # Database Schemas
+  PGRST_DB_SCHEMAS: public,storage,graphql_public
+  
+  # Studio Settings
+  STUDIO_DEFAULT_ORGANIZATION: Default Organization
+  STUDIO_DEFAULT_PROJECT: Default Project
+  
+  # Logging
+  LOGFLARE_API_KEY: your-super-secret-and-long-logflare-key
+  
+  # Pooler Settings
+  POOLER_DEFAULT_POOL_SIZE: "20"
+  POOLER_MAX_CLIENT_CONN: "100"
+  POOLER_TENANT_ID: your-tenant-id
+  POOLER_PROXY_PORT_TRANSACTION: "6543"
+  
+  # Kong Ports
+  KONG_HTTP_PORT: "8000"
+  KONG_HTTPS_PORT: "8443"
+  
+  # Docker
+  DOCKER_SOCKET_LOCATION: /var/run/docker.sock
+  
+  # Google Cloud (if needed)
+  GOOGLE_PROJECT_ID: GOOGLE_PROJECT_ID
+  GOOGLE_PROJECT_NUMBER: GOOGLE_PROJECT_NUMBER
+
+services:
+
+  studio:
+    container_name: supabase-studio
+    image: supabase/studio:20250224-d10db0f
+    restart: unless-stopped
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "node",
+          "-e",
+          "fetch('http://studio:3000/api/platform/profile').then((r) => {if (r.status !== 200) throw new Error(r.status)})"
+        ]
+      timeout: 10s
+      interval: 5s
+      retries: 3
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      STUDIO_PG_META_URL: http://meta:8080
+      POSTGRES_PASSWORD: your-super-secret-and-long-postgres-password
+
+      DEFAULT_ORGANIZATION_NAME: Default Organization
+      DEFAULT_PROJECT_NAME: Default Project
+      OPENAI_API_KEY: ""
+
+      SUPABASE_URL: http://kong:8000
+      SUPABASE_PUBLIC_URL: http://localhost:8000
+      SUPABASE_ANON_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+      SUPABASE_SERVICE_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+      AUTH_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+
+      LOGFLARE_API_KEY: your-super-secret-and-long-logflare-key
+      LOGFLARE_URL: http://analytics:4000
+      NEXT_PUBLIC_ENABLE_LOGS: true
+      # Comment to use Big Query backend for analytics
+      NEXT_ANALYTICS_BACKEND_PROVIDER: postgres
+      # Uncomment to use Big Query backend for analytics
+      # NEXT_ANALYTICS_BACKEND_PROVIDER: bigquery
+
+  kong:
+    container_name: supabase-kong
+    image: kong:2.8.1
+    restart: unless-stopped
+    ports:
+      - 8000:8000/tcp
+      - 8443:8443/tcp
+    volumes:
+      # https://github.com/supabase/supabase/issues/12661
+      - ./volumes/api/kong.yml:/home/kong/temp.yml:ro
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      KONG_DATABASE: "off"
+      KONG_DECLARATIVE_CONFIG: /home/kong/kong.yml
+      # https://github.com/supabase/cli/issues/14
+      KONG_DNS_ORDER: LAST,A,CNAME
+      KONG_PLUGINS: request-transformer,cors,key-auth,acl,basic-auth
+      KONG_NGINX_PROXY_PROXY_BUFFER_SIZE: 160k
+      KONG_NGINX_PROXY_PROXY_BUFFERS: 64 160k
+      SUPABASE_ANON_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+      SUPABASE_SERVICE_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+      DASHBOARD_USERNAME: supabase
+      DASHBOARD_PASSWORD: this_password_is_insecure_and_should_be_updated
+    # https://unix.stackexchange.com/a/294837
+    entrypoint: bash -c 'eval "echo \"$$(cat ~/temp.yml)\"" > ~/kong.yml && /docker-entrypoint.sh kong docker-start'
+
+  auth:
+    container_name: supabase-auth
+    image: supabase/gotrue:v2.170.0
+    restart: unless-stopped
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "wget",
+          "--no-verbose",
+          "--tries=1",
+          "--spider",
+          "http://localhost:9999/health"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      GOTRUE_API_HOST: 0.0.0.0
+      GOTRUE_API_PORT: 9999
+      API_EXTERNAL_URL: http://localhost:8000
+
+      GOTRUE_DB_DRIVER: postgres
+      GOTRUE_DB_DATABASE_URL: postgres://supabase_auth_admin:your-super-secret-and-long-postgres-password@db:5432/postgres
+
+      GOTRUE_SITE_URL: http://localhost:3000
+      GOTRUE_URI_ALLOW_LIST: ""
+      GOTRUE_DISABLE_SIGNUP: false
+
+      GOTRUE_JWT_ADMIN_ROLES: service_role
+      GOTRUE_JWT_AUD: authenticated
+      GOTRUE_JWT_DEFAULT_GROUP_NAME: authenticated
+      GOTRUE_JWT_EXP: 3600
+      GOTRUE_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+
+      GOTRUE_EXTERNAL_EMAIL_ENABLED: true
+      GOTRUE_EXTERNAL_ANONYMOUS_USERS_ENABLED: false
+      GOTRUE_MAILER_AUTOCONFIRM: false
+
+      # Uncomment to bypass nonce check in ID Token flow. Commonly set to true when using Google Sign In on mobile.
+      # GOTRUE_EXTERNAL_SKIP_NONCE_CHECK: true
+
+      # GOTRUE_MAILER_SECURE_EMAIL_CHANGE_ENABLED: true
+      # GOTRUE_SMTP_MAX_FREQUENCY: 1s
+      GOTRUE_SMTP_ADMIN_EMAIL: admin@example.com
+      GOTRUE_SMTP_HOST: supabase-mail
+      GOTRUE_SMTP_PORT: 2500
+      GOTRUE_SMTP_USER: fake_mail_user
+      GOTRUE_SMTP_PASS: fake_mail_password
+      GOTRUE_SMTP_SENDER_NAME: fake_sender
+      GOTRUE_MAILER_URLPATHS_INVITE: /auth/v1/verify
+      GOTRUE_MAILER_URLPATHS_CONFIRMATION: /auth/v1/verify
+      GOTRUE_MAILER_URLPATHS_RECOVERY: /auth/v1/verify
+      GOTRUE_MAILER_URLPATHS_EMAIL_CHANGE: /auth/v1/verify
+
+      GOTRUE_EXTERNAL_PHONE_ENABLED: true
+      GOTRUE_SMS_AUTOCONFIRM: true
+      # Uncomment to enable custom access token hook. Please see: https://supabase.com/docs/guides/auth/auth-hooks for full list of hooks and additional details about custom_access_token_hook
+
+      # GOTRUE_HOOK_CUSTOM_ACCESS_TOKEN_ENABLED: "true"
+      # GOTRUE_HOOK_CUSTOM_ACCESS_TOKEN_URI: "pg-functions://postgres/public/custom_access_token_hook"
+      # GOTRUE_HOOK_CUSTOM_ACCESS_TOKEN_SECRETS: "<standard-base64-secret>"
+
+      # GOTRUE_HOOK_MFA_VERIFICATION_ATTEMPT_ENABLED: "true"
+      # GOTRUE_HOOK_MFA_VERIFICATION_ATTEMPT_URI: "pg-functions://postgres/public/mfa_verification_attempt"
+
+      # GOTRUE_HOOK_PASSWORD_VERIFICATION_ATTEMPT_ENABLED: "true"
+      # GOTRUE_HOOK_PASSWORD_VERIFICATION_ATTEMPT_URI: "pg-functions://postgres/public/password_verification_attempt"
+
+      # GOTRUE_HOOK_SEND_SMS_ENABLED: "false"
+      # GOTRUE_HOOK_SEND_SMS_URI: "pg-functions://postgres/public/custom_access_token_hook"
+      # GOTRUE_HOOK_SEND_SMS_SECRETS: "v1,whsec_VGhpcyBpcyBhbiBleGFtcGxlIG9mIGEgc2hvcnRlciBCYXNlNjQgc3RyaW5n"
+
+      # GOTRUE_HOOK_SEND_EMAIL_ENABLED: "false"
+      # GOTRUE_HOOK_SEND_EMAIL_URI: "http://host.docker.internal:54321/functions/v1/email_sender"
+      # GOTRUE_HOOK_SEND_EMAIL_SECRETS: "v1,whsec_VGhpcyBpcyBhbiBleGFtcGxlIG9mIGEgc2hvcnRlciBCYXNlNjQgc3RyaW5n"
+
+  rest:
+    container_name: supabase-rest
+    image: postgrest/postgrest:v12.2.8
+    restart: unless-stopped
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      PGRST_DB_URI: postgres://authenticator:your-super-secret-and-long-postgres-password@db:5432/postgres
+      PGRST_DB_SCHEMAS: public,storage,graphql_public
+      PGRST_DB_ANON_ROLE: anon
+      PGRST_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      PGRST_DB_USE_LEGACY_GUCS: "false"
+      PGRST_APP_SETTINGS_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      PGRST_APP_SETTINGS_JWT_EXP: 3600
+    command:
+      [
+        "postgrest"
+      ]
+
+  realtime:
+    # This container name looks inconsistent but is correct because realtime constructs tenant id by parsing the subdomain
+    container_name: realtime-dev.supabase-realtime
+    image: supabase/realtime:v2.34.40
+    restart: unless-stopped
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "curl",
+          "-sSfL",
+          "--head",
+          "-o",
+          "/dev/null",
+          "-H",
+          "Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE",
+          "http://localhost:4000/api/tenants/realtime-dev/health"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      PORT: 4000
+      DB_HOST: db
+      DB_PORT: 5432
+      DB_USER: supabase_admin
+      DB_PASSWORD: your-super-secret-and-long-postgres-password
+      DB_NAME: postgres
+      DB_AFTER_CONNECT_QUERY: 'SET search_path TO _realtime'
+      DB_ENC_KEY: supabaserealtime
+      API_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      SECRET_KEY_BASE: UpNVntn3cDxHJpq99YMc1T1AQgQpc8kfYTuRgBiYa15BLrx8etQoXz3gZv1/u2oq
+      ERL_AFLAGS: -proto_dist inet_tcp
+      DNS_NODES: "''"
+      RLIMIT_NOFILE: "10000"
+      APP_NAME: realtime
+      SEED_SELF_HOST: true
+      RUN_JANITOR: true
+
+  # To use S3 backed storage: docker compose -f docker-compose.yml -f docker-compose.s3.yml up
+  storage:
+    container_name: supabase-storage
+    image: supabase/storage-api:v1.19.3
+    restart: unless-stopped
+    volumes:
+      - ./volumes/storage:/var/lib/storage:z
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "wget",
+          "--no-verbose",
+          "--tries=1",
+          "--spider",
+          "http://storage:5000/status"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+      rest:
+        condition: service_started
+      imgproxy:
+        condition: service_started
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      ANON_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+      SERVICE_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+      POSTGREST_URL: http://rest:3000
+      PGRST_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      DATABASE_URL: postgres://supabase_storage_admin:your-super-secret-and-long-postgres-password@db:5432/postgres
+      FILE_SIZE_LIMIT: 52428800
+      STORAGE_BACKEND: file
+      FILE_STORAGE_BACKEND_PATH: /var/lib/storage
+      TENANT_ID: stub
+      # TODO: https://github.com/supabase/storage-api/issues/55
+      REGION: stub
+      GLOBAL_S3_BUCKET: stub
+      ENABLE_IMAGE_TRANSFORMATION: "true"
+      IMGPROXY_URL: http://imgproxy:5001
+
+  imgproxy:
+    container_name: supabase-imgproxy
+    image: darthsim/imgproxy:v3.8.0
+    restart: unless-stopped
+    volumes:
+      - ./volumes/storage:/var/lib/storage:z
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "imgproxy",
+          "health"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      IMGPROXY_BIND: ":5001"
+      IMGPROXY_LOCAL_FILESYSTEM_ROOT: /
+      IMGPROXY_USE_ETAG: "true"
+      IMGPROXY_ENABLE_WEBP_DETECTION: true
+
+  meta:
+    container_name: supabase-meta
+    image: supabase/postgres-meta:v0.86.1
+    restart: unless-stopped
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      PG_META_PORT: 8080
+      PG_META_DB_HOST: db
+      PG_META_DB_PORT: 5432
+      PG_META_DB_NAME: postgres
+      PG_META_DB_USER: supabase_admin
+      PG_META_DB_PASSWORD: your-super-secret-and-long-postgres-password
+
+  functions:
+    container_name: supabase-edge-functions
+    image: supabase/edge-runtime:v1.67.2
+    restart: unless-stopped
+    volumes:
+      - ./volumes/functions:/home/deno/functions:Z
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      SUPABASE_URL: http://kong:8000
+      SUPABASE_ANON_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+      SUPABASE_SERVICE_ROLE_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
+      SUPABASE_DB_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres
+      # TODO: Allow configuring VERIFY_JWT per function. This PR might help: https://github.com/supabase/cli/pull/786
+      VERIFY_JWT: "false"
+    command:
+      [
+        "start",
+        "--main-service",
+        "/home/deno/functions/main"
+      ]
+
+  analytics:
+    container_name: supabase-analytics
+    image: supabase/logflare:1.12.5
+    restart: unless-stopped
+    ports:
+      - 4000:4000
+    # Uncomment to use Big Query backend for analytics
+    # volumes:
+    #   - type: bind
+    #     source: ${PWD}/gcloud.json
+    #     target: /opt/app/rel/logflare/bin/gcloud.json
+    #     read_only: true
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "curl",
+          "http://localhost:4000/health"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 10
+    depends_on:
+      db:
+        # Disable this if you are using an external Postgres database
+        condition: service_healthy
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      LOGFLARE_NODE_HOST: 127.0.0.1
+      DB_USERNAME: supabase_admin
+      DB_DATABASE: _supabase
+      DB_HOSTNAME: db
+      DB_PORT: 5432
+      DB_PASSWORD: your-super-secret-and-long-postgres-password
+      DB_SCHEMA: _analytics
+      LOGFLARE_API_KEY: your-super-secret-and-long-logflare-key
+      LOGFLARE_SINGLE_TENANT: true
+      LOGFLARE_SUPABASE_MODE: true
+      LOGFLARE_MIN_CLUSTER_SIZE: 1
+
+      # Comment variables to use Big Query backend for analytics
+      POSTGRES_BACKEND_URL: postgresql://supabase_admin:your-super-secret-and-long-postgres-password@db:5432/_supabase
+      POSTGRES_BACKEND_SCHEMA: _analytics
+      LOGFLARE_FEATURE_FLAG_OVERRIDE: multibackend=true
+      # Uncomment to use Big Query backend for analytics
+      # GOOGLE_PROJECT_ID: GOOGLE_PROJECT_ID
+      # GOOGLE_PROJECT_NUMBER: GOOGLE_PROJECT_NUMBER
+
+  # Comment out everything below this point if you are using an external Postgres database
+  db:
+    container_name: supabase-db
+    image: supabase/postgres:15.8.1.049
+    restart: unless-stopped
+    volumes:
+      - ./volumes/db/realtime.sql:/docker-entrypoint-initdb.d/migrations/99-realtime.sql:Z
+      # Must be superuser to create event trigger
+      - ./volumes/db/webhooks.sql:/docker-entrypoint-initdb.d/init-scripts/98-webhooks.sql:Z
+      # Must be superuser to alter reserved role
+      - ./volumes/db/roles.sql:/docker-entrypoint-initdb.d/init-scripts/99-roles.sql:Z
+      # Initialize the database settings with JWT_SECRET and JWT_EXP
+      - ./volumes/db/jwt.sql:/docker-entrypoint-initdb.d/init-scripts/99-jwt.sql:Z
+      # PGDATA directory is persisted between restarts
+      - ./volumes/db/data:/var/lib/postgresql/data:Z
+      # Changes required for internal supabase data such as _analytics
+      - ./volumes/db/_supabase.sql:/docker-entrypoint-initdb.d/migrations/97-_supabase.sql:Z
+      # Changes required for Analytics support
+      - ./volumes/db/logs.sql:/docker-entrypoint-initdb.d/migrations/99-logs.sql:Z
+      # Changes required for Pooler support
+      - ./volumes/db/pooler.sql:/docker-entrypoint-initdb.d/migrations/99-pooler.sql:Z
+      # Use named volume to persist pgsodium decryption key between restarts
+      - supabase-config:/etc/postgresql-custom
+    healthcheck:
+      test:
+        [
+        "CMD",
+        "pg_isready",
+        "-U",
+        "postgres",
+        "-h",
+        "localhost"
+        ]
+      interval: 5s
+      timeout: 5s
+      retries: 10
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      POSTGRES_HOST: /var/run/postgresql
+      PGPORT: 5432
+      POSTGRES_PORT: 5432
+      PGPASSWORD: your-super-secret-and-long-postgres-password
+      POSTGRES_PASSWORD: your-super-secret-and-long-postgres-password
+      PGDATABASE: postgres
+      POSTGRES_DB: postgres
+      JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      JWT_EXP: 3600
+    command:
+      [
+        "postgres",
+        "-c",
+        "config_file=/etc/postgresql/postgresql.conf",
+        "-c",
+        "log_min_messages=fatal" # prevents Realtime polling queries from appearing in logs
+      ]
+
+  vector:
+    container_name: supabase-vector
+    image: timberio/vector:0.28.1-alpine
+    restart: unless-stopped
+    volumes:
+      - ./volumes/logs/vector.yml:/etc/vector/vector.yml:ro
+      - /var/run/docker.sock:/var/run/docker.sock:ro
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "wget",
+          "--no-verbose",
+          "--tries=1",
+          "--spider",
+          "http://vector:9001/health"
+        ]
+      timeout: 5s
+      interval: 5s
+      retries: 3
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      LOGFLARE_API_KEY: your-super-secret-and-long-logflare-key
+    command:
+      [
+        "--config",
+        "/etc/vector/vector.yml"
+      ]
+
+  # Update the DATABASE_URL if you are using an external Postgres database
+  supavisor:
+    container_name: supabase-pooler
+    image: supabase/supavisor:2.4.12
+    restart: unless-stopped
+    ports:
+      - 5432:5432
+      - 6543:6543
+    volumes:
+      - ./volumes/pooler/pooler.exs:/etc/pooler/pooler.exs:ro
+    healthcheck:
+      test:
+        [
+          "CMD",
+          "curl",
+          "-sSfL",
+          "--head",
+          "-o",
+          "/dev/null",
+          "http://127.0.0.1:4000/api/health"
+        ]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    depends_on:
+      db:
+        condition: service_healthy
+      analytics:
+        condition: service_healthy
+    <<: *supabase-env-files
+    environment:
+      <<: *supabase-env
+      # Keep any existing environment variables specific to that service
+      PORT: 4000
+      POSTGRES_PORT: 5432
+      POSTGRES_DB: postgres
+      POSTGRES_PASSWORD: your-super-secret-and-long-postgres-password
+      DATABASE_URL: ecto://supabase_admin:your-super-secret-and-long-postgres-password@db:5432/_supabase
+      CLUSTER_POSTGRES: true
+      SECRET_KEY_BASE: UpNVntn3cDxHJpq99YMc1T1AQgQpc8kfYTuRgBiYa15BLrx8etQoXz3gZv1/u2oq
+      VAULT_ENC_KEY: your-encryption-key-32-chars-min
+      API_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      METRICS_JWT_SECRET: your-super-secret-jwt-token-with-at-least-32-characters-long
+      REGION: local
+      ERL_AFLAGS: -proto_dist inet_tcp
+      POOLER_TENANT_ID: your-tenant-id
+      POOLER_DEFAULT_POOL_SIZE: 20
+      POOLER_MAX_CLIENT_CONN: 100
+      POOLER_POOL_MODE: transaction
+    command:
+      [
+        "/bin/sh",
+        "-c",
+        "/app/bin/migrate && /app/bin/supavisor eval \"$$(cat /etc/pooler/pooler.exs)\" && /app/bin/server"
+      ]
+
+volumes:
+  supabase-config:
diff --git a/autogpt_platform/db/docker/reset.sh b/autogpt_platform/db/docker/reset.sh
new file mode 100755
index 000000000000..2efe8983206e
--- /dev/null
+++ b/autogpt_platform/db/docker/reset.sh
@@ -0,0 +1,44 @@
+#!/bin/bash
+
+echo "WARNING: This will remove all containers and container data, and will reset the .env file. This action cannot be undone!"
+read -p "Are you sure you want to proceed? (y/N) " -n 1 -r
+echo    # Move to a new line
+if [[ ! $REPLY =~ ^[Yy]$ ]]
+then
+    echo "Operation cancelled."
+    exit 1
+fi
+
+echo "Stopping and removing all containers..."
+docker compose -f docker-compose.yml -f ./dev/docker-compose.dev.yml down -v --remove-orphans
+
+echo "Cleaning up bind-mounted directories..."
+BIND_MOUNTS=(
+  "./volumes/db/data"
+)
+
+for DIR in "${BIND_MOUNTS[@]}"; do
+  if [ -d "$DIR" ]; then
+    echo "Deleting $DIR..."
+    rm -rf "$DIR"
+  else
+    echo "Directory $DIR does not exist. Skipping bind mount deletion step..."
+  fi
+done
+
+echo "Resetting .env file..."
+if [ -f ".env" ]; then
+  echo "Removing existing .env file..."
+  rm -f .env
+else
+  echo "No .env file found. Skipping .env removal step..."
+fi
+
+if [ -f ".env.default" ]; then
+  echo "Copying .env.default to .env..."
+  cp .env.default .env
+else
+  echo ".env.default file not found. Skipping .env reset step..."
+fi
+
+echo "Cleanup complete!"
\ No newline at end of file
diff --git a/autogpt_platform/db/docker/volumes/api/kong.yml b/autogpt_platform/db/docker/volumes/api/kong.yml
new file mode 100644
index 000000000000..7abf42534c91
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/api/kong.yml
@@ -0,0 +1,241 @@
+_format_version: '2.1'
+_transform: true
+
+###
+### Consumers / Users
+###
+consumers:
+  - username: DASHBOARD
+  - username: anon
+    keyauth_credentials:
+      - key: $SUPABASE_ANON_KEY
+  - username: service_role
+    keyauth_credentials:
+      - key: $SUPABASE_SERVICE_KEY
+
+###
+### Access Control List
+###
+acls:
+  - consumer: anon
+    group: anon
+  - consumer: service_role
+    group: admin
+
+###
+### Dashboard credentials
+###
+basicauth_credentials:
+  - consumer: DASHBOARD
+    username: $DASHBOARD_USERNAME
+    password: $DASHBOARD_PASSWORD
+
+###
+### API Routes
+###
+services:
+  ## Open Auth routes
+  - name: auth-v1-open
+    url: http://auth:9999/verify
+    routes:
+      - name: auth-v1-open
+        strip_path: true
+        paths:
+          - /auth/v1/verify
+    plugins:
+      - name: cors
+  - name: auth-v1-open-callback
+    url: http://auth:9999/callback
+    routes:
+      - name: auth-v1-open-callback
+        strip_path: true
+        paths:
+          - /auth/v1/callback
+    plugins:
+      - name: cors
+  - name: auth-v1-open-authorize
+    url: http://auth:9999/authorize
+    routes:
+      - name: auth-v1-open-authorize
+        strip_path: true
+        paths:
+          - /auth/v1/authorize
+    plugins:
+      - name: cors
+
+  ## Secure Auth routes
+  - name: auth-v1
+    _comment: 'GoTrue: /auth/v1/* -> http://auth:9999/*'
+    url: http://auth:9999/
+    routes:
+      - name: auth-v1-all
+        strip_path: true
+        paths:
+          - /auth/v1/
+    plugins:
+      - name: cors
+      - name: key-auth
+        config:
+          hide_credentials: false
+      - name: acl
+        config:
+          hide_groups_header: true
+          allow:
+            - admin
+            - anon
+
+  ## Secure REST routes
+  - name: rest-v1
+    _comment: 'PostgREST: /rest/v1/* -> http://rest:3000/*'
+    url: http://rest:3000/
+    routes:
+      - name: rest-v1-all
+        strip_path: true
+        paths:
+          - /rest/v1/
+    plugins:
+      - name: cors
+      - name: key-auth
+        config:
+          hide_credentials: true
+      - name: acl
+        config:
+          hide_groups_header: true
+          allow:
+            - admin
+            - anon
+
+  ## Secure GraphQL routes
+  - name: graphql-v1
+    _comment: 'PostgREST: /graphql/v1/* -> http://rest:3000/rpc/graphql'
+    url: http://rest:3000/rpc/graphql
+    routes:
+      - name: graphql-v1-all
+        strip_path: true
+        paths:
+          - /graphql/v1
+    plugins:
+      - name: cors
+      - name: key-auth
+        config:
+          hide_credentials: true
+      - name: request-transformer
+        config:
+          add:
+            headers:
+              - Content-Profile:graphql_public
+      - name: acl
+        config:
+          hide_groups_header: true
+          allow:
+            - admin
+            - anon
+
+  ## Secure Realtime routes
+  - name: realtime-v1-ws
+    _comment: 'Realtime: /realtime/v1/* -> ws://realtime:4000/socket/*'
+    url: http://realtime-dev.supabase-realtime:4000/socket
+    protocol: ws
+    routes:
+      - name: realtime-v1-ws
+        strip_path: true
+        paths:
+          - /realtime/v1/
+    plugins:
+      - name: cors
+      - name: key-auth
+        config:
+          hide_credentials: false
+      - name: acl
+        config:
+          hide_groups_header: true
+          allow:
+            - admin
+            - anon
+  - name: realtime-v1-rest
+    _comment: 'Realtime: /realtime/v1/* -> ws://realtime:4000/socket/*'
+    url: http://realtime-dev.supabase-realtime:4000/api
+    protocol: http
+    routes:
+      - name: realtime-v1-rest
+        strip_path: true
+        paths:
+          - /realtime/v1/api
+    plugins:
+      - name: cors
+      - name: key-auth
+        config:
+          hide_credentials: false
+      - name: acl
+        config:
+          hide_groups_header: true
+          allow:
+            - admin
+            - anon
+  ## Storage routes: the storage server manages its own auth
+  - name: storage-v1
+    _comment: 'Storage: /storage/v1/* -> http://storage:5000/*'
+    url: http://storage:5000/
+    routes:
+      - name: storage-v1-all
+        strip_path: true
+        paths:
+          - /storage/v1/
+    plugins:
+      - name: cors
+
+  ## Edge Functions routes
+  - name: functions-v1
+    _comment: 'Edge Functions: /functions/v1/* -> http://functions:9000/*'
+    url: http://functions:9000/
+    routes:
+      - name: functions-v1-all
+        strip_path: true
+        paths:
+          - /functions/v1/
+    plugins:
+      - name: cors
+
+  ## Analytics routes
+  - name: analytics-v1
+    _comment: 'Analytics: /analytics/v1/* -> http://logflare:4000/*'
+    url: http://analytics:4000/
+    routes:
+      - name: analytics-v1-all
+        strip_path: true
+        paths:
+          - /analytics/v1/
+
+  ## Secure Database routes
+  - name: meta
+    _comment: 'pg-meta: /pg/* -> http://pg-meta:8080/*'
+    url: http://meta:8080/
+    routes:
+      - name: meta-all
+        strip_path: true
+        paths:
+          - /pg/
+    plugins:
+      - name: key-auth
+        config:
+          hide_credentials: false
+      - name: acl
+        config:
+          hide_groups_header: true
+          allow:
+            - admin
+
+  ## Protected Dashboard - catch all remaining routes
+  - name: dashboard
+    _comment: 'Studio: /* -> http://studio:3000/*'
+    url: http://studio:3000/
+    routes:
+      - name: dashboard-all
+        strip_path: true
+        paths:
+          - /
+    plugins:
+      - name: cors
+      - name: basic-auth
+        config:
+          hide_credentials: true
diff --git a/autogpt_platform/db/docker/volumes/db/_supabase.sql b/autogpt_platform/db/docker/volumes/db/_supabase.sql
new file mode 100644
index 000000000000..6236ae1bccc2
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/_supabase.sql
@@ -0,0 +1,3 @@
+\set pguser `echo "$POSTGRES_USER"`
+
+CREATE DATABASE _supabase WITH OWNER :pguser;
diff --git a/autogpt_platform/db/docker/volumes/db/init/data.sql b/autogpt_platform/db/docker/volumes/db/init/data.sql
new file mode 100755
index 000000000000..e69de29bb2d1
diff --git a/autogpt_platform/db/docker/volumes/db/jwt.sql b/autogpt_platform/db/docker/volumes/db/jwt.sql
new file mode 100644
index 000000000000..cfd3b16028fa
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/jwt.sql
@@ -0,0 +1,5 @@
+\set jwt_secret `echo "$JWT_SECRET"`
+\set jwt_exp `echo "$JWT_EXP"`
+
+ALTER DATABASE postgres SET "app.settings.jwt_secret" TO :'jwt_secret';
+ALTER DATABASE postgres SET "app.settings.jwt_exp" TO :'jwt_exp';
diff --git a/autogpt_platform/db/docker/volumes/db/logs.sql b/autogpt_platform/db/docker/volumes/db/logs.sql
new file mode 100644
index 000000000000..255c0f407b8d
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/logs.sql
@@ -0,0 +1,6 @@
+\set pguser `echo "$POSTGRES_USER"`
+
+\c _supabase
+create schema if not exists _analytics;
+alter schema _analytics owner to :pguser;
+\c postgres
diff --git a/autogpt_platform/db/docker/volumes/db/pooler.sql b/autogpt_platform/db/docker/volumes/db/pooler.sql
new file mode 100644
index 000000000000..162c5b96aae5
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/pooler.sql
@@ -0,0 +1,6 @@
+\set pguser `echo "$POSTGRES_USER"`
+
+\c _supabase
+create schema if not exists _supavisor;
+alter schema _supavisor owner to :pguser;
+\c postgres
diff --git a/autogpt_platform/db/docker/volumes/db/realtime.sql b/autogpt_platform/db/docker/volumes/db/realtime.sql
new file mode 100644
index 000000000000..4d4b9ffb912b
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/realtime.sql
@@ -0,0 +1,4 @@
+\set pguser `echo "$POSTGRES_USER"`
+
+create schema if not exists _realtime;
+alter schema _realtime owner to :pguser;
diff --git a/autogpt_platform/db/docker/volumes/db/roles.sql b/autogpt_platform/db/docker/volumes/db/roles.sql
new file mode 100644
index 000000000000..8f7161a6db66
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/roles.sql
@@ -0,0 +1,8 @@
+-- NOTE: change to your own passwords for production environments
+\set pgpass `echo "$POSTGRES_PASSWORD"`
+
+ALTER USER authenticator WITH PASSWORD :'pgpass';
+ALTER USER pgbouncer WITH PASSWORD :'pgpass';
+ALTER USER supabase_auth_admin WITH PASSWORD :'pgpass';
+ALTER USER supabase_functions_admin WITH PASSWORD :'pgpass';
+ALTER USER supabase_storage_admin WITH PASSWORD :'pgpass';
diff --git a/autogpt_platform/db/docker/volumes/db/webhooks.sql b/autogpt_platform/db/docker/volumes/db/webhooks.sql
new file mode 100644
index 000000000000..5837b86188ef
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/db/webhooks.sql
@@ -0,0 +1,208 @@
+BEGIN;
+  -- Create pg_net extension
+  CREATE EXTENSION IF NOT EXISTS pg_net SCHEMA extensions;
+  -- Create supabase_functions schema
+  CREATE SCHEMA supabase_functions AUTHORIZATION supabase_admin;
+  GRANT USAGE ON SCHEMA supabase_functions TO postgres, anon, authenticated, service_role;
+  ALTER DEFAULT PRIVILEGES IN SCHEMA supabase_functions GRANT ALL ON TABLES TO postgres, anon, authenticated, service_role;
+  ALTER DEFAULT PRIVILEGES IN SCHEMA supabase_functions GRANT ALL ON FUNCTIONS TO postgres, anon, authenticated, service_role;
+  ALTER DEFAULT PRIVILEGES IN SCHEMA supabase_functions GRANT ALL ON SEQUENCES TO postgres, anon, authenticated, service_role;
+  -- supabase_functions.migrations definition
+  CREATE TABLE supabase_functions.migrations (
+    version text PRIMARY KEY,
+    inserted_at timestamptz NOT NULL DEFAULT NOW()
+  );
+  -- Initial supabase_functions migration
+  INSERT INTO supabase_functions.migrations (version) VALUES ('initial');
+  -- supabase_functions.hooks definition
+  CREATE TABLE supabase_functions.hooks (
+    id bigserial PRIMARY KEY,
+    hook_table_id integer NOT NULL,
+    hook_name text NOT NULL,
+    created_at timestamptz NOT NULL DEFAULT NOW(),
+    request_id bigint
+  );
+  CREATE INDEX supabase_functions_hooks_request_id_idx ON supabase_functions.hooks USING btree (request_id);
+  CREATE INDEX supabase_functions_hooks_h_table_id_h_name_idx ON supabase_functions.hooks USING btree (hook_table_id, hook_name);
+  COMMENT ON TABLE supabase_functions.hooks IS 'Supabase Functions Hooks: Audit trail for triggered hooks.';
+  CREATE FUNCTION supabase_functions.http_request()
+    RETURNS trigger
+    LANGUAGE plpgsql
+    AS $function$
+    DECLARE
+      request_id bigint;
+      payload jsonb;
+      url text := TG_ARGV[0]::text;
+      method text := TG_ARGV[1]::text;
+      headers jsonb DEFAULT '{}'::jsonb;
+      params jsonb DEFAULT '{}'::jsonb;
+      timeout_ms integer DEFAULT 1000;
+    BEGIN
+      IF url IS NULL OR url = 'null' THEN
+        RAISE EXCEPTION 'url argument is missing';
+      END IF;
+
+      IF method IS NULL OR method = 'null' THEN
+        RAISE EXCEPTION 'method argument is missing';
+      END IF;
+
+      IF TG_ARGV[2] IS NULL OR TG_ARGV[2] = 'null' THEN
+        headers = '{"Content-Type": "application/json"}'::jsonb;
+      ELSE
+        headers = TG_ARGV[2]::jsonb;
+      END IF;
+
+      IF TG_ARGV[3] IS NULL OR TG_ARGV[3] = 'null' THEN
+        params = '{}'::jsonb;
+      ELSE
+        params = TG_ARGV[3]::jsonb;
+      END IF;
+
+      IF TG_ARGV[4] IS NULL OR TG_ARGV[4] = 'null' THEN
+        timeout_ms = 1000;
+      ELSE
+        timeout_ms = TG_ARGV[4]::integer;
+      END IF;
+
+      CASE
+        WHEN method = 'GET' THEN
+          SELECT http_get INTO request_id FROM net.http_get(
+            url,
+            params,
+            headers,
+            timeout_ms
+          );
+        WHEN method = 'POST' THEN
+          payload = jsonb_build_object(
+            'old_record', OLD,
+            'record', NEW,
+            'type', TG_OP,
+            'table', TG_TABLE_NAME,
+            'schema', TG_TABLE_SCHEMA
+          );
+
+          SELECT http_post INTO request_id FROM net.http_post(
+            url,
+            payload,
+            params,
+            headers,
+            timeout_ms
+          );
+        ELSE
+          RAISE EXCEPTION 'method argument % is invalid', method;
+      END CASE;
+
+      INSERT INTO supabase_functions.hooks
+        (hook_table_id, hook_name, request_id)
+      VALUES
+        (TG_RELID, TG_NAME, request_id);
+
+      RETURN NEW;
+    END
+  $function$;
+  -- Supabase super admin
+  DO
+  $$
+  BEGIN
+    IF NOT EXISTS (
+      SELECT 1
+      FROM pg_roles
+      WHERE rolname = 'supabase_functions_admin'
+    )
+    THEN
+      CREATE USER supabase_functions_admin NOINHERIT CREATEROLE LOGIN NOREPLICATION;
+    END IF;
+  END
+  $$;
+  GRANT ALL PRIVILEGES ON SCHEMA supabase_functions TO supabase_functions_admin;
+  GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA supabase_functions TO supabase_functions_admin;
+  GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA supabase_functions TO supabase_functions_admin;
+  ALTER USER supabase_functions_admin SET search_path = "supabase_functions";
+  ALTER table "supabase_functions".migrations OWNER TO supabase_functions_admin;
+  ALTER table "supabase_functions".hooks OWNER TO supabase_functions_admin;
+  ALTER function "supabase_functions".http_request() OWNER TO supabase_functions_admin;
+  GRANT supabase_functions_admin TO postgres;
+  -- Remove unused supabase_pg_net_admin role
+  DO
+  $$
+  BEGIN
+    IF EXISTS (
+      SELECT 1
+      FROM pg_roles
+      WHERE rolname = 'supabase_pg_net_admin'
+    )
+    THEN
+      REASSIGN OWNED BY supabase_pg_net_admin TO supabase_admin;
+      DROP OWNED BY supabase_pg_net_admin;
+      DROP ROLE supabase_pg_net_admin;
+    END IF;
+  END
+  $$;
+  -- pg_net grants when extension is already enabled
+  DO
+  $$
+  BEGIN
+    IF EXISTS (
+      SELECT 1
+      FROM pg_extension
+      WHERE extname = 'pg_net'
+    )
+    THEN
+      GRANT USAGE ON SCHEMA net TO supabase_functions_admin, postgres, anon, authenticated, service_role;
+      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;
+      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;
+      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;
+      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;
+      REVOKE ALL ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;
+      REVOKE ALL ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;
+      GRANT EXECUTE ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;
+      GRANT EXECUTE ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;
+    END IF;
+  END
+  $$;
+  -- Event trigger for pg_net
+  CREATE OR REPLACE FUNCTION extensions.grant_pg_net_access()
+  RETURNS event_trigger
+  LANGUAGE plpgsql
+  AS $$
+  BEGIN
+    IF EXISTS (
+      SELECT 1
+      FROM pg_event_trigger_ddl_commands() AS ev
+      JOIN pg_extension AS ext
+      ON ev.objid = ext.oid
+      WHERE ext.extname = 'pg_net'
+    )
+    THEN
+      GRANT USAGE ON SCHEMA net TO supabase_functions_admin, postgres, anon, authenticated, service_role;
+      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;
+      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SECURITY DEFINER;
+      ALTER function net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;
+      ALTER function net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) SET search_path = net;
+      REVOKE ALL ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;
+      REVOKE ALL ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) FROM PUBLIC;
+      GRANT EXECUTE ON FUNCTION net.http_get(url text, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;
+      GRANT EXECUTE ON FUNCTION net.http_post(url text, body jsonb, params jsonb, headers jsonb, timeout_milliseconds integer) TO supabase_functions_admin, postgres, anon, authenticated, service_role;
+    END IF;
+  END;
+  $$;
+  COMMENT ON FUNCTION extensions.grant_pg_net_access IS 'Grants access to pg_net';
+  DO
+  $$
+  BEGIN
+    IF NOT EXISTS (
+      SELECT 1
+      FROM pg_event_trigger
+      WHERE evtname = 'issue_pg_net_access'
+    ) THEN
+      CREATE EVENT TRIGGER issue_pg_net_access ON ddl_command_end WHEN TAG IN ('CREATE EXTENSION')
+      EXECUTE PROCEDURE extensions.grant_pg_net_access();
+    END IF;
+  END
+  $$;
+  INSERT INTO supabase_functions.migrations (version) VALUES ('20210809183423_update_grants');
+  ALTER function supabase_functions.http_request() SECURITY DEFINER;
+  ALTER function supabase_functions.http_request() SET search_path = supabase_functions;
+  REVOKE ALL ON FUNCTION supabase_functions.http_request() FROM PUBLIC;
+  GRANT EXECUTE ON FUNCTION supabase_functions.http_request() TO postgres, anon, authenticated, service_role;
+COMMIT;
diff --git a/autogpt_platform/db/docker/volumes/functions/hello/index.ts b/autogpt_platform/db/docker/volumes/functions/hello/index.ts
new file mode 100644
index 000000000000..f1e20b90e015
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/functions/hello/index.ts
@@ -0,0 +1,16 @@
+// Follow this setup guide to integrate the Deno language server with your editor:
+// https://deno.land/manual/getting_started/setup_your_environment
+// This enables autocomplete, go to definition, etc.
+
+import { serve } from "https://deno.land/std@0.177.1/http/server.ts"
+
+serve(async () => {
+  return new Response(
+    `"Hello from Edge Functions!"`,
+    { headers: { "Content-Type": "application/json" } },
+  )
+})
+
+// To invoke:
+// curl 'http://localhost:<KONG_HTTP_PORT>/functions/v1/hello' \
+//   --header 'Authorization: Bearer <anon/service_role API key>'
diff --git a/autogpt_platform/db/docker/volumes/functions/main/index.ts b/autogpt_platform/db/docker/volumes/functions/main/index.ts
new file mode 100644
index 000000000000..a094010b9dad
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/functions/main/index.ts
@@ -0,0 +1,94 @@
+import { serve } from 'https://deno.land/std@0.131.0/http/server.ts'
+import * as jose from 'https://deno.land/x/jose@v4.14.4/index.ts'
+
+console.log('main function started')
+
+const JWT_SECRET = Deno.env.get('JWT_SECRET')
+const VERIFY_JWT = Deno.env.get('VERIFY_JWT') === 'true'
+
+function getAuthToken(req: Request) {
+  const authHeader = req.headers.get('authorization')
+  if (!authHeader) {
+    throw new Error('Missing authorization header')
+  }
+  const [bearer, token] = authHeader.split(' ')
+  if (bearer !== 'Bearer') {
+    throw new Error(`Auth header is not 'Bearer {token}'`)
+  }
+  return token
+}
+
+async function verifyJWT(jwt: string): Promise<boolean> {
+  const encoder = new TextEncoder()
+  const secretKey = encoder.encode(JWT_SECRET)
+  try {
+    await jose.jwtVerify(jwt, secretKey)
+  } catch (err) {
+    console.error(err)
+    return false
+  }
+  return true
+}
+
+serve(async (req: Request) => {
+  if (req.method !== 'OPTIONS' && VERIFY_JWT) {
+    try {
+      const token = getAuthToken(req)
+      const isValidJWT = await verifyJWT(token)
+
+      if (!isValidJWT) {
+        return new Response(JSON.stringify({ msg: 'Invalid JWT' }), {
+          status: 401,
+          headers: { 'Content-Type': 'application/json' },
+        })
+      }
+    } catch (e) {
+      console.error(e)
+      return new Response(JSON.stringify({ msg: e.toString() }), {
+        status: 401,
+        headers: { 'Content-Type': 'application/json' },
+      })
+    }
+  }
+
+  const url = new URL(req.url)
+  const { pathname } = url
+  const path_parts = pathname.split('/')
+  const service_name = path_parts[1]
+
+  if (!service_name || service_name === '') {
+    const error = { msg: 'missing function name in request' }
+    return new Response(JSON.stringify(error), {
+      status: 400,
+      headers: { 'Content-Type': 'application/json' },
+    })
+  }
+
+  const servicePath = `/home/deno/functions/${service_name}`
+  console.error(`serving the request with ${servicePath}`)
+
+  const memoryLimitMb = 150
+  const workerTimeoutMs = 1 * 60 * 1000
+  const noModuleCache = false
+  const importMapPath = null
+  const envVarsObj = Deno.env.toObject()
+  const envVars = Object.keys(envVarsObj).map((k) => [k, envVarsObj[k]])
+
+  try {
+    const worker = await EdgeRuntime.userWorkers.create({
+      servicePath,
+      memoryLimitMb,
+      workerTimeoutMs,
+      noModuleCache,
+      importMapPath,
+      envVars,
+    })
+    return await worker.fetch(req)
+  } catch (e) {
+    const error = { msg: e.toString() }
+    return new Response(JSON.stringify(error), {
+      status: 500,
+      headers: { 'Content-Type': 'application/json' },
+    })
+  }
+})
diff --git a/autogpt_platform/db/docker/volumes/logs/vector.yml b/autogpt_platform/db/docker/volumes/logs/vector.yml
new file mode 100644
index 000000000000..cce46df43dba
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/logs/vector.yml
@@ -0,0 +1,232 @@
+api:
+  enabled: true
+  address: 0.0.0.0:9001
+
+sources:
+  docker_host:
+    type: docker_logs
+    exclude_containers:
+      - supabase-vector
+
+transforms:
+  project_logs:
+    type: remap
+    inputs:
+      - docker_host
+    source: |-
+      .project = "default"
+      .event_message = del(.message)
+      .appname = del(.container_name)
+      del(.container_created_at)
+      del(.container_id)
+      del(.source_type)
+      del(.stream)
+      del(.label)
+      del(.image)
+      del(.host)
+      del(.stream)
+  router:
+    type: route
+    inputs:
+      - project_logs
+    route:
+      kong: '.appname == "supabase-kong"'
+      auth: '.appname == "supabase-auth"'
+      rest: '.appname == "supabase-rest"'
+      realtime: '.appname == "supabase-realtime"'
+      storage: '.appname == "supabase-storage"'
+      functions: '.appname == "supabase-functions"'
+      db: '.appname == "supabase-db"'
+  # Ignores non nginx errors since they are related with kong booting up
+  kong_logs:
+    type: remap
+    inputs:
+      - router.kong
+    source: |-
+      req, err = parse_nginx_log(.event_message, "combined")
+      if err == null {
+          .timestamp = req.timestamp
+          .metadata.request.headers.referer = req.referer
+          .metadata.request.headers.user_agent = req.agent
+          .metadata.request.headers.cf_connecting_ip = req.client
+          .metadata.request.method = req.method
+          .metadata.request.path = req.path
+          .metadata.request.protocol = req.protocol
+          .metadata.response.status_code = req.status
+      }
+      if err != null {
+        abort
+      }
+  # Ignores non nginx errors since they are related with kong booting up
+  kong_err:
+    type: remap
+    inputs:
+      - router.kong
+    source: |-
+      .metadata.request.method = "GET"
+      .metadata.response.status_code = 200
+      parsed, err = parse_nginx_log(.event_message, "error")
+      if err == null {
+          .timestamp = parsed.timestamp
+          .severity = parsed.severity
+          .metadata.request.host = parsed.host
+          .metadata.request.headers.cf_connecting_ip = parsed.client
+          url, err = split(parsed.request, " ")
+          if err == null {
+              .metadata.request.method = url[0]
+              .metadata.request.path = url[1]
+              .metadata.request.protocol = url[2]
+          }
+      }
+      if err != null {
+        abort
+      }
+  # Gotrue logs are structured json strings which frontend parses directly. But we keep metadata for consistency.
+  auth_logs:
+    type: remap
+    inputs:
+      - router.auth
+    source: |-
+      parsed, err = parse_json(.event_message)
+      if err == null {
+          .metadata.timestamp = parsed.time
+          .metadata = merge!(.metadata, parsed)
+      }
+  # PostgREST logs are structured so we separate timestamp from message using regex
+  rest_logs:
+    type: remap
+    inputs:
+      - router.rest
+    source: |-
+      parsed, err = parse_regex(.event_message, r'^(?P<time>.*): (?P<msg>.*)$')
+      if err == null {
+          .event_message = parsed.msg
+          .timestamp = to_timestamp!(parsed.time)
+          .metadata.host = .project
+      }
+  # Realtime logs are structured so we parse the severity level using regex (ignore time because it has no date)
+  realtime_logs:
+    type: remap
+    inputs:
+      - router.realtime
+    source: |-
+      .metadata.project = del(.project)
+      .metadata.external_id = .metadata.project
+      parsed, err = parse_regex(.event_message, r'^(?P<time>\d+:\d+:\d+\.\d+) \[(?P<level>\w+)\] (?P<msg>.*)$')
+      if err == null {
+          .event_message = parsed.msg
+          .metadata.level = parsed.level
+      }
+  # Storage logs may contain json objects so we parse them for completeness
+  storage_logs:
+    type: remap
+    inputs:
+      - router.storage
+    source: |-
+      .metadata.project = del(.project)
+      .metadata.tenantId = .metadata.project
+      parsed, err = parse_json(.event_message)
+      if err == null {
+          .event_message = parsed.msg
+          .metadata.level = parsed.level
+          .metadata.timestamp = parsed.time
+          .metadata.context[0].host = parsed.hostname
+          .metadata.context[0].pid = parsed.pid
+      }
+  # Postgres logs some messages to stderr which we map to warning severity level
+  db_logs:
+    type: remap
+    inputs:
+      - router.db
+    source: |-
+      .metadata.host = "db-default"
+      .metadata.parsed.timestamp = .timestamp
+
+      parsed, err = parse_regex(.event_message, r'.*(?P<level>INFO|NOTICE|WARNING|ERROR|LOG|FATAL|PANIC?):.*', numeric_groups: true)
+
+      if err != null || parsed == null {
+        .metadata.parsed.error_severity = "info"
+      }
+      if parsed != null {
+       .metadata.parsed.error_severity = parsed.level
+      }
+      if .metadata.parsed.error_severity == "info" {
+          .metadata.parsed.error_severity = "log"
+      }
+      .metadata.parsed.error_severity = upcase!(.metadata.parsed.error_severity)
+
+sinks:
+  logflare_auth:
+    type: 'http'
+    inputs:
+      - auth_logs
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    uri: 'http://analytics:4000/api/logs?source_name=gotrue.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
+  logflare_realtime:
+    type: 'http'
+    inputs:
+      - realtime_logs
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    uri: 'http://analytics:4000/api/logs?source_name=realtime.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
+  logflare_rest:
+    type: 'http'
+    inputs:
+      - rest_logs
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    uri: 'http://analytics:4000/api/logs?source_name=postgREST.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
+  logflare_db:
+    type: 'http'
+    inputs:
+      - db_logs
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    # We must route the sink through kong because ingesting logs before logflare is fully initialised will
+    # lead to broken queries from studio. This works by the assumption that containers are started in the
+    # following order: vector > db > logflare > kong
+    uri: 'http://kong:8000/analytics/v1/api/logs?source_name=postgres.logs&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
+  logflare_functions:
+    type: 'http'
+    inputs:
+      - router.functions
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    uri: 'http://analytics:4000/api/logs?source_name=deno-relay-logs&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
+  logflare_storage:
+    type: 'http'
+    inputs:
+      - storage_logs
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    uri: 'http://analytics:4000/api/logs?source_name=storage.logs.prod.2&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
+  logflare_kong:
+    type: 'http'
+    inputs:
+      - kong_logs
+      - kong_err
+    encoding:
+      codec: 'json'
+    method: 'post'
+    request:
+      retry_max_duration_secs: 10
+    uri: 'http://analytics:4000/api/logs?source_name=cloudflare.logs.prod&api_key=${LOGFLARE_API_KEY?LOGFLARE_API_KEY is required}'
diff --git a/autogpt_platform/db/docker/volumes/pooler/pooler.exs b/autogpt_platform/db/docker/volumes/pooler/pooler.exs
new file mode 100644
index 000000000000..791d61c842be
--- /dev/null
+++ b/autogpt_platform/db/docker/volumes/pooler/pooler.exs
@@ -0,0 +1,30 @@
+{:ok, _} = Application.ensure_all_started(:supavisor)
+
+{:ok, version} =
+  case Supavisor.Repo.query!("select version()") do
+    %{rows: [[ver]]} -> Supavisor.Helpers.parse_pg_version(ver)
+    _ -> nil
+  end
+
+params = %{
+  "external_id" => System.get_env("POOLER_TENANT_ID"),
+  "db_host" => "db",
+  "db_port" => System.get_env("POSTGRES_PORT"),
+  "db_database" => System.get_env("POSTGRES_DB"),
+  "require_user" => false,
+  "auth_query" => "SELECT * FROM pgbouncer.get_auth($1)",
+  "default_max_clients" => System.get_env("POOLER_MAX_CLIENT_CONN"),
+  "default_pool_size" => System.get_env("POOLER_DEFAULT_POOL_SIZE"),
+  "default_parameter_status" => %{"server_version" => version},
+  "users" => [%{
+    "db_user" => "pgbouncer",
+    "db_password" => System.get_env("POSTGRES_PASSWORD"),
+    "mode_type" => System.get_env("POOLER_POOL_MODE"),
+    "pool_size" => System.get_env("POOLER_DEFAULT_POOL_SIZE"),
+    "is_manager" => true
+  }]
+}
+
+if !Supavisor.Tenants.get_tenant_by_external_id(params["external_id"]) do
+  {:ok, _} = Supavisor.Tenants.create_tenant(params)
+end
diff --git a/autogpt_platform/docker-compose.platform.yml b/autogpt_platform/docker-compose.platform.yml
index a09fed4c8b15..c4e9a14e7b60 100644
--- a/autogpt_platform/docker-compose.platform.yml
+++ b/autogpt_platform/docker-compose.platform.yml
@@ -1,9 +1,39 @@
+# Environment Variable Loading Order (first → last, later overrides earlier):
+# 1. backend/.env.default - Default values for all settings
+# 2. backend/.env - User's custom configuration (if exists)
+# 3. environment key - Docker-specific overrides defined below
+# 4. Shell environment - Variables exported before running docker compose
+# 5. CLI arguments - docker compose run -e VAR=value
+
+# Common backend environment - Docker service names
+x-backend-env:
+  &backend-env # Docker internal service hostnames (override localhost defaults)
+  PYRO_HOST: "0.0.0.0"
+  AGENTSERVER_HOST: rest_server
+  SCHEDULER_HOST: scheduler_server
+  DATABASEMANAGER_HOST: database_manager
+  EXECUTIONMANAGER_HOST: executor
+  NOTIFICATIONMANAGER_HOST: notification_server
+  CLAMAV_SERVICE_HOST: clamav
+  DB_HOST: db
+  REDIS_HOST: redis
+  RABBITMQ_HOST: rabbitmq
+  # Override Supabase URL for Docker network
+  SUPABASE_URL: http://kong:8000
+
+# Common env_file configuration for backend services
+x-backend-env-files: &backend-env-files
+  env_file:
+    - backend/.env.default # Base defaults (always exists)
+    - path: backend/.env # User overrides (optional)
+      required: false
+
 services:
   migrate:
     build:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
-      target: server
+      target: migrate
     command: ["sh", "-c", "poetry run prisma migrate deploy"]
     develop:
       watch:
@@ -15,14 +45,16 @@ services:
         condition: service_healthy
     environment:
       - DATABASE_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+      - DIRECT_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
     networks:
       - app-network
     restart: on-failure
     healthcheck:
-      test: ["CMD", "poetry", "run", "prisma", "migrate", "status"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
+      test: ["CMD-SHELL", "poetry run prisma migrate status | grep -q 'No pending migrations' || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 5s
 
   redis:
     image: redis:latest
@@ -36,6 +68,21 @@ services:
       interval: 10s
       timeout: 5s
       retries: 5
+  rabbitmq:
+    image: rabbitmq:management
+    container_name: rabbitmq
+    healthcheck:
+      test: rabbitmq-diagnostics -q ping
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 10s
+    environment:
+      - RABBITMQ_DEFAULT_USER=rabbitmq_user_default
+      - RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7 # CHANGE THIS TO A RANDOM PASSWORD IN PRODUCTION -- everywhere lol
+    ports:
+      - "5672:5672"
+      - "15672:15672"
 
   rest_server:
     build:
@@ -55,24 +102,16 @@ services:
         condition: service_healthy
       migrate:
         condition: service_completed_successfully
+      rabbitmq:
+        condition: service_healthy
+    <<: *backend-env-files
     environment:
-      - SUPABASE_URL=http://kong:8000
-      - SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-      - SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
-      - DATABASE_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
-      - REDIS_HOST=redis
-      - REDIS_PORT=6379
-      - REDIS_PASSWORD=password
-      - ENABLE_AUTH=true
-      - PYRO_HOST=0.0.0.0
-      - EXECUTIONSCHEDULER_HOST=rest_server
-      - EXECUTIONMANAGER_HOST=executor
-      - FRONTEND_BASE_URL=http://localhost:3000
-      - BACKEND_CORS_ALLOW_ORIGINS=["http://localhost:3000"]
-      - ENCRYPTION_KEY=dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=  # DO NOT USE IN PRODUCTION!!
+      <<: *backend-env
+      # Service-specific overrides
+      DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+      DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
     ports:
       - "8006:8006"
-      - "8003:8003" # execution scheduler
     networks:
       - app-network
 
@@ -90,24 +129,22 @@ services:
     depends_on:
       redis:
         condition: service_healthy
+      rabbitmq:
+        condition: service_healthy
       db:
         condition: service_healthy
       migrate:
         condition: service_completed_successfully
+      database_manager:
+        condition: service_started
+    <<: *backend-env-files
     environment:
-      - SUPABASE_URL=http://kong:8000
-      - SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-      - SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
-      - DATABASE_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
-      - REDIS_HOST=redis
-      - REDIS_PORT=6379
-      - REDIS_PASSWORD=password
-      - ENABLE_AUTH=true
-      - PYRO_HOST=0.0.0.0
-      - AGENTSERVER_HOST=rest_server
-      - ENCRYPTION_KEY=dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=  # DO NOT USE IN PRODUCTION!!
+      <<: *backend-env
+      # Service-specific overrides
+      DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+      DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
     ports:
-      - "8002:8000"
+      - "8002:8002"
     networks:
       - app-network
 
@@ -129,93 +166,145 @@ services:
         condition: service_healthy
       migrate:
         condition: service_completed_successfully
+      database_manager:
+        condition: service_started
+    <<: *backend-env-files
     environment:
-      - SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-      - DATABASE_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
-      - REDIS_HOST=redis
-      - REDIS_PORT=6379
-      - REDIS_PASSWORD=password
-      - ENABLE_AUTH=true
-      - PYRO_HOST=0.0.0.0
-      - BACKEND_CORS_ALLOW_ORIGINS=["http://localhost:3000"]
-
+      <<: *backend-env
+      # Service-specific overrides
+      DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+      DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
     ports:
       - "8001:8001"
     networks:
       - app-network
 
-  market:
+  database_manager:
     build:
       context: ../
-      dockerfile: autogpt_platform/market/Dockerfile
+      dockerfile: autogpt_platform/backend/Dockerfile
+      target: server
+    command: ["python", "-m", "backend.db"]
     develop:
       watch:
         - path: ./
-          target: autogpt_platform/market/
+          target: autogpt_platform/backend/
           action: rebuild
     depends_on:
       db:
         condition: service_healthy
-      market-migrations:
+      migrate:
         condition: service_completed_successfully
+    <<: *backend-env-files
     environment:
-      - SUPABASE_URL=http://kong:8000
-      - SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-      - SUPABASE_ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
-      - DATABASE_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=market
-      - BACKEND_CORS_ALLOW_ORIGINS="http://localhost:3000,http://127.0.0.1:3000"
+      <<: *backend-env
+      # Service-specific overrides
+      DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+      DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
     ports:
-      - "8015:8015"
+      - "8005:8005"
     networks:
       - app-network
 
-  market-migrations:
+  scheduler_server:
     build:
       context: ../
-      dockerfile: autogpt_platform/market/Dockerfile
-    command: ["sh", "-c", "poetry run prisma migrate deploy"]
+      dockerfile: autogpt_platform/backend/Dockerfile
+      target: server
+    command: ["python", "-m", "backend.scheduler"]
     develop:
       watch:
         - path: ./
-          target: autogpt_platform/market/
+          target: autogpt_platform/backend/
           action: rebuild
     depends_on:
       db:
         condition: service_healthy
+      redis:
+        condition: service_healthy
+      rabbitmq:
+        condition: service_healthy
+      migrate:
+        condition: service_completed_successfully
+      database_manager:
+        condition: service_started
+    # healthcheck:
+    #   test:
+    #     [
+    #       "CMD",
+    #       "curl",
+    #       "-f",
+    #       "-X",
+    #       "POST",
+    #       "http://localhost:8003/health_check",
+    #     ]
+    #   interval: 10s
+    #   timeout: 10s
+    #   retries: 5
+    <<: *backend-env-files
     environment:
-      - SUPABASE_URL=http://kong:8000
-      - SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
-      - SUPABASE_ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
-      - DATABASE_URL=postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=market
+      <<: *backend-env
+      # Service-specific overrides
+      DATABASE_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+      DIRECT_URL: postgresql://postgres:your-super-secret-and-long-postgres-password@db:5432/postgres?connect_timeout=60&schema=platform
+    ports:
+      - "8003:8003"
     networks:
       - app-network
-#  frontend:
-#    build:
-#      context: ../
-#      dockerfile: autogpt_platform/frontend/Dockerfile
-#      target: dev
-#    depends_on:
-#      db:
-#        condition: service_healthy
-#      rest_server:
-#        condition: service_started
-#      websocket_server:
-#        condition: service_started
-#      migrate:
-#        condition: service_completed_successfully
-#    environment:
-#      - NEXT_PUBLIC_SUPABASE_URL=http://kong:8000
-#      - NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
-#      - DATABASE_URL=postgresql://agpt_user:pass123@postgres:5432/postgres?connect_timeout=60&schema=platform
-#      - NEXT_PUBLIC_AGPT_SERVER_URL=http://localhost:8006/api
-#      - NEXT_PUBLIC_AGPT_WS_SERVER_URL=ws://localhost:8001/ws
-#      - NEXT_PUBLIC_AGPT_MARKETPLACE_URL=http://localhost:8015/api/v1/market
-#      - NEXT_PUBLIC_BEHAVE_AS=LOCAL
-#    ports:
-#      - "3000:3000"
-#    networks:
-#      - app-network
 
+  notification_server:
+    build:
+      context: ../
+      dockerfile: autogpt_platform/backend/Dockerfile
+      target: server
+    command: ["python", "-m", "backend.notification"]
+    develop:
+      watch:
+        - path: ./
+          target: autogpt_platform/backend/
+          action: rebuild
+    depends_on:
+      db:
+        condition: service_healthy
+      rabbitmq:
+        condition: service_healthy
+      migrate:
+        condition: service_completed_successfully
+      database_manager:
+        condition: service_started
+    <<: *backend-env-files
+    environment:
+      <<: *backend-env
+    ports:
+      - "8007:8007"
+    networks:
+      - app-network
+  frontend:
+    build:
+      context: ../
+      dockerfile: autogpt_platform/frontend/Dockerfile
+      target: prod
+    depends_on:
+      db:
+        condition: service_healthy
+      migrate:
+        condition: service_completed_successfully
+    ports:
+      - "3000:3000"
+    networks:
+      - app-network
+    # Load environment variables in order (later overrides earlier)
+    env_file:
+      - path: ./frontend/.env.default # Base defaults (always exists)
+      - path: ./frontend/.env # User overrides (optional)
+        required: false
+    environment:
+      # Server-side environment variables (Docker service names)
+      # These override the localhost URLs from env files when running in Docker
+      AUTH_CALLBACK_URL: http://rest_server:8006/auth/callback
+      SUPABASE_URL: http://kong:8000
+      AGPT_SERVER_URL: http://rest_server:8006/api
+      AGPT_WS_SERVER_URL: ws://websocket_server:8001/ws
 networks:
   app-network:
     driver: bridge
diff --git a/autogpt_platform/docker-compose.yml b/autogpt_platform/docker-compose.yml
index d9cafccf0585..1860252f4686 100644
--- a/autogpt_platform/docker-compose.yml
+++ b/autogpt_platform/docker-compose.yml
@@ -5,7 +5,8 @@ networks:
     name: shared-network
 
 volumes:
-  db-config:
+  supabase-config:
+  clamav-data:
 
 x-agpt-services:
   &agpt-services
@@ -19,6 +20,7 @@ x-supabase-services:
     - app-network
     - shared-network
 
+
 services:
   # AGPT services
   migrate:
@@ -33,6 +35,12 @@ services:
       file: ./docker-compose.platform.yml
       service: redis
 
+  rabbitmq:
+    <<: *agpt-services
+    extends:
+      file: ./docker-compose.platform.yml
+      service: rabbitmq
+
   rest_server:
     <<: *agpt-services
     extends:
@@ -51,97 +59,94 @@ services:
       file: ./docker-compose.platform.yml
       service: websocket_server
 
-  market:
+  database_manager:
     <<: *agpt-services
     extends:
       file: ./docker-compose.platform.yml
-      service: market
+      service: database_manager
 
-  market-migrations:
+  scheduler_server:
     <<: *agpt-services
     extends:
       file: ./docker-compose.platform.yml
-      service: market-migrations
+      service: scheduler_server
 
-#  frontend:
-#    <<: *agpt-services
-#    extends:
-#      file: ./docker-compose.platform.yml
-#      service: frontend
+  notification_server:
+    <<: *agpt-services
+    extends:
+      file: ./docker-compose.platform.yml
+      service: notification_server
 
-  # Supabase services
-  studio:
-    <<: *supabase-services
+  clamav:
+    <<: *agpt-services
+    image: clamav/clamav-debian:latest
+    ports:
+      - "3310:3310"
+    volumes:
+      - clamav-data:/var/lib/clamav
+    environment:
+      - CLAMAV_NO_FRESHCLAMD=false
+      - CLAMD_CONF_StreamMaxLength=50M
+      - CLAMD_CONF_MaxFileSize=100M
+      - CLAMD_CONF_MaxScanSize=100M
+      - CLAMD_CONF_MaxThreads=12
+      - CLAMD_CONF_ReadTimeout=300
+    healthcheck:
+      test: ["CMD-SHELL", "clamdscan --version || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  frontend:
+    <<: *agpt-services
     extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: studio
+      file: ./docker-compose.platform.yml
+      service: frontend
 
+  # Supabase services (minimal: auth + db + kong)
   kong:
     <<: *supabase-services
     extends:
-      file: ./supabase/docker/docker-compose.yml
+      file: ./db/docker/docker-compose.yml
       service: kong
 
   auth:
     <<: *supabase-services
     extends:
-      file: ./supabase/docker/docker-compose.yml
+      file: ./db/docker/docker-compose.yml
       service: auth
     environment:
       GOTRUE_MAILER_AUTOCONFIRM: true
 
-  rest:
-    <<: *supabase-services
-    extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: rest
-
-  realtime:
-    <<: *supabase-services
-    extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: realtime
-
-  storage:
-    <<: *supabase-services
-    extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: storage
-
-  imgproxy:
+  db:
     <<: *supabase-services
     extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: imgproxy
+      file: ./db/docker/docker-compose.yml
+      service: db
+    ports:
+      - 5432:5432 # We don't use Supavisor locally, so we expose the db directly.
 
+  # Studio and its dependencies for local development only
   meta:
     <<: *supabase-services
+    profiles:
+      - local
     extends:
-      file: ./supabase/docker/docker-compose.yml
+      file: ./db/docker/docker-compose.yml
       service: meta
 
-  functions:
-    <<: *supabase-services
-    extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: functions
-
-  analytics:
-    <<: *supabase-services
-    extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: analytics
-
-  db:
-    <<: *supabase-services
-    extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: db
-  vector:
+  studio:
     <<: *supabase-services
+    profiles:
+      - local
     extends:
-      file: ./supabase/docker/docker-compose.yml
-      service: vector
+      file: ./db/docker/docker-compose.yml
+      service: studio
+    depends_on:
+      meta:
+        condition: service_healthy
+    # environment:
+    #   NEXT_PUBLIC_ENABLE_LOGS: false  # Disable analytics/logging features
 
   deps:
     <<: *supabase-services
@@ -150,11 +155,24 @@ services:
     image: busybox
     command: /bin/true
     depends_on:
-      - studio
       - kong
       - auth
-      - meta
-      - analytics
       - db
-      - vector
+      - studio
       - redis
+      - rabbitmq
+      - clamav
+      - migrate
+
+  deps_backend:
+    <<: *agpt-services
+    profiles:
+      - local
+    image: busybox
+    command: /bin/true
+    depends_on:
+      - deps
+      - rest_server
+      - executor
+      - websocket_server
+      - database_manager
diff --git a/autogpt_platform/frontend/.env.default b/autogpt_platform/frontend/.env.default
new file mode 100644
index 000000000000..175567c5b2ae
--- /dev/null
+++ b/autogpt_platform/frontend/.env.default
@@ -0,0 +1,20 @@
+    NEXT_PUBLIC_SUPABASE_URL=http://localhost:8000
+    NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
+
+    NEXT_PUBLIC_AGPT_SERVER_URL=http://localhost:8006/api
+    NEXT_PUBLIC_AGPT_WS_SERVER_URL=ws://localhost:8001/ws
+    NEXT_PUBLIC_FRONTEND_BASE_URL=http://localhost:3000
+
+    NEXT_PUBLIC_APP_ENV=local
+    NEXT_PUBLIC_BEHAVE_AS=LOCAL
+
+    NEXT_PUBLIC_LAUNCHDARKLY_ENABLED=false
+    NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID=687ab1372f497809b131e06e
+
+    NEXT_PUBLIC_SHOW_BILLING_PAGE=false
+    NEXT_PUBLIC_TURNSTILE=disabled
+    NEXT_PUBLIC_REACT_QUERY_DEVTOOL=true
+
+    NEXT_PUBLIC_GA_MEASUREMENT_ID=G-FH2XK2W4GN
+    NEXT_PUBLIC_PW_TEST=true
+    
\ No newline at end of file
diff --git a/autogpt_platform/frontend/.env.example b/autogpt_platform/frontend/.env.example
deleted file mode 100644
index 879858ecfda7..000000000000
--- a/autogpt_platform/frontend/.env.example
+++ /dev/null
@@ -1,26 +0,0 @@
-NEXT_PUBLIC_AUTH_CALLBACK_URL=http://localhost:8006/auth/callback
-NEXT_PUBLIC_AGPT_SERVER_URL=http://localhost:8006/api
-NEXT_PUBLIC_AGPT_WS_SERVER_URL=ws://localhost:8001/ws
-NEXT_PUBLIC_AGPT_MARKETPLACE_URL=http://localhost:8015/api/v1/market
-NEXT_PUBLIC_LAUNCHDARKLY_ENABLED=false
-NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID=
-NEXT_PUBLIC_APP_ENV=dev
-
-## Locale settings
-
-NEXT_PUBLIC_DEFAULT_LOCALE=en
-NEXT_PUBLIC_LOCALES=en,es
-
-## Supabase credentials
-
-NEXT_PUBLIC_SUPABASE_URL=http://localhost:8000
-NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJhbm9uIiwKICAgICJpc3MiOiAic3VwYWJhc2UtZGVtbyIsCiAgICAiaWF0IjogMTY0MTc2OTIwMCwKICAgICJleHAiOiAxNzk5NTM1NjAwCn0.dc_X5iR_VP_qT0zsiyj_I_OZ2T9FtRU2BBNWN8Bu4GE
-
-## OAuth Callback URL
-## This should be {domain}/auth/callback
-## Only used if you're using Supabase and OAuth
-AUTH_CALLBACK_URL=http://localhost:3000/auth/callback
-GA_MEASUREMENT_ID=G-FH2XK2W4GN
-
-# When running locally, set NEXT_PUBLIC_BEHAVE_AS=CLOUD to use the a locally hosted marketplace (as is typical in development, and the cloud deployment), otherwise set it to LOCAL to have the marketplace open in a new tab
-NEXT_PUBLIC_BEHAVE_AS=LOCAL
diff --git a/autogpt_platform/frontend/.eslintrc.json b/autogpt_platform/frontend/.eslintrc.json
index bb8b1c099d49..04a3f05d0f94 100644
--- a/autogpt_platform/frontend/.eslintrc.json
+++ b/autogpt_platform/frontend/.eslintrc.json
@@ -1,3 +1,26 @@
 {
-  "extends": ["next/core-web-vitals", "plugin:storybook/recommended"]
+  "extends": [
+    "next/core-web-vitals",
+    "next/typescript",
+    "plugin:storybook/recommended",
+    "plugin:@tanstack/query/recommended"
+  ],
+  "rules": {
+    // Disabling exhaustive-deps to avoid forcing unnecessary dependencies and useCallback proliferation.
+    // We rely on code review for proper dependency management instead of mechanical rule following.
+    // See: https://kentcdodds.com/blog/usememo-and-usecallback
+    "react-hooks/exhaustive-deps": "off",
+    // Disable temporarily as we have some `any` in the codebase and we need to got case by case
+    // and see if they can be fixed.
+    "@typescript-eslint/no-explicit-any": "off",
+    // Allow unused vars that start with underscore (convention for intentionally unused)
+    "@typescript-eslint/no-unused-vars": [
+      "error",
+      {
+        "argsIgnorePattern": "^_",
+        "varsIgnorePattern": "^_",
+        "caughtErrorsIgnorePattern": "^_"
+      }
+    ]
+  }
 }
diff --git a/autogpt_platform/frontend/.gitignore b/autogpt_platform/frontend/.gitignore
index 22cda21b7759..4150a70bcde7 100644
--- a/autogpt_platform/frontend/.gitignore
+++ b/autogpt_platform/frontend/.gitignore
@@ -22,10 +22,16 @@
 
 # debug
 npm-debug.log*
+pnpm-debug.log*
 yarn-debug.log*
 yarn-error.log*
 
+# lock files (from yarn1 or npm)
+yarn.lock
+package-lock.json
+
 # local env files
+.env
 .env*.local
 
 # vercel
@@ -47,4 +53,8 @@ node_modules/
 storybook-static
 *.ignore.*
 *.ign.*
-.cursorrules
\ No newline at end of file
+!.npmrc
+.cursorrules
+
+# Generated API files
+src/app/api/__generated__/
\ No newline at end of file
diff --git a/autogpt_platform/frontend/.npmrc b/autogpt_platform/frontend/.npmrc
new file mode 100644
index 000000000000..15cb462b443a
--- /dev/null
+++ b/autogpt_platform/frontend/.npmrc
@@ -0,0 +1,2 @@
+# Configure pnpm to save exact versions
+save-exact=true 
\ No newline at end of file
diff --git a/autogpt_platform/frontend/.prettierignore b/autogpt_platform/frontend/.prettierignore
index 1ec91b0d1acb..9951e9905da0 100644
--- a/autogpt_platform/frontend/.prettierignore
+++ b/autogpt_platform/frontend/.prettierignore
@@ -1,4 +1,6 @@
 node_modules
+pnpm-lock.yaml
 .next
+.auth
 build
 public
diff --git a/autogpt_platform/frontend/.storybook/main.ts b/autogpt_platform/frontend/.storybook/main.ts
index 62db72c32018..abc97a151694 100644
--- a/autogpt_platform/frontend/.storybook/main.ts
+++ b/autogpt_platform/frontend/.storybook/main.ts
@@ -1,21 +1,27 @@
 import type { StorybookConfig } from "@storybook/nextjs";
 
 const config: StorybookConfig = {
-  stories: ["../src/**/*.mdx", "../src/**/*.stories.@(js|jsx|mjs|ts|tsx)"],
+  stories: [
+    "../src/components/overview.stories.@(js|jsx|mjs|ts|tsx)",
+    "../src/components/tokens/**/*.stories.@(js|jsx|mjs|ts|tsx)",
+    "../src/components/atoms/**/*.stories.@(js|jsx|mjs|ts|tsx)",
+    "../src/components/molecules/**/*.stories.@(js|jsx|mjs|ts|tsx)",
+    "../src/components/agptui/**/*.stories.@(js|jsx|mjs|ts|tsx)",
+  ],
   addons: [
     "@storybook/addon-a11y",
     "@storybook/addon-onboarding",
     "@storybook/addon-links",
-    "@storybook/addon-essentials",
-    "@storybook/addon-interactions",
+    "@storybook/addon-docs",
   ],
   features: {
     experimentalRSC: true,
   },
   framework: {
     name: "@storybook/nextjs",
-    options: {},
+    options: { builder: { useSWC: true } },
   },
   staticDirs: ["../public"],
 };
+
 export default config;
diff --git a/autogpt_platform/frontend/.storybook/manager.ts b/autogpt_platform/frontend/.storybook/manager.ts
new file mode 100644
index 000000000000..7c7021cb9f20
--- /dev/null
+++ b/autogpt_platform/frontend/.storybook/manager.ts
@@ -0,0 +1,7 @@
+import { addons } from "storybook/manager-api";
+
+import { theme } from "./theme";
+
+addons.setConfig({
+  theme: theme,
+});
diff --git a/autogpt_platform/frontend/.storybook/preview.ts b/autogpt_platform/frontend/.storybook/preview.ts
deleted file mode 100644
index b8bef1a320f4..000000000000
--- a/autogpt_platform/frontend/.storybook/preview.ts
+++ /dev/null
@@ -1,23 +0,0 @@
-import type { Preview } from "@storybook/react";
-import { initialize, mswLoader } from "msw-storybook-addon";
-import "../src/app/globals.css";
-
-// Initialize MSW
-initialize();
-
-const preview: Preview = {
-  parameters: {
-    nextjs: {
-      appDirectory: true,
-    },
-    controls: {
-      matchers: {
-        color: /(background|color)$/i,
-        date: /Date$/i,
-      },
-    },
-  },
-  loaders: [mswLoader],
-};
-
-export default preview;
diff --git a/autogpt_platform/frontend/.storybook/preview.tsx b/autogpt_platform/frontend/.storybook/preview.tsx
new file mode 100644
index 000000000000..d8c67a0a3f6e
--- /dev/null
+++ b/autogpt_platform/frontend/.storybook/preview.tsx
@@ -0,0 +1,49 @@
+import {
+  Controls,
+  Primary,
+  Source,
+  Stories,
+  Subtitle,
+  Title,
+} from "@storybook/addon-docs/blocks";
+import { Preview } from "@storybook/nextjs";
+import { initialize, mswLoader } from "msw-storybook-addon";
+import React from "react";
+import "../src/app/globals.css";
+import "../src/components/styles/fonts.css";
+import { theme } from "./theme";
+
+// Initialize MSW
+initialize();
+
+const preview: Preview = {
+  parameters: {
+    nextjs: {
+      appDirectory: true,
+    },
+    docs: {
+      theme,
+      page: () => (
+        <>
+          <Title />
+          <Subtitle />
+
+          <Primary />
+          <Source />
+          <Stories />
+          <Controls />
+        </>
+      ),
+    },
+  },
+  loaders: [mswLoader],
+  decorators: [
+    (Story) => (
+      <div className="bg-background p-8">
+        <Story />
+      </div>
+    ),
+  ],
+};
+
+export default preview;
diff --git a/autogpt_platform/frontend/.storybook/test-runner.ts b/autogpt_platform/frontend/.storybook/test-runner.ts
deleted file mode 100644
index fc12dcc48dd0..000000000000
--- a/autogpt_platform/frontend/.storybook/test-runner.ts
+++ /dev/null
@@ -1,22 +0,0 @@
-import type { TestRunnerConfig } from "@storybook/test-runner";
-import { injectAxe, checkA11y } from "axe-playwright";
-
-/*
- * See https://storybook.js.org/docs/writing-tests/test-runner#test-hook-api
- * to learn more about the test-runner hooks API.
- */
-const config: TestRunnerConfig = {
-  async preVisit(page) {
-    await injectAxe(page);
-  },
-  async postVisit(page) {
-    await checkA11y(page, "#storybook-root", {
-      detailedReport: true,
-      detailedReportOptions: {
-        html: true,
-      },
-    });
-  },
-};
-
-export default config;
diff --git a/autogpt_platform/frontend/.storybook/theme.ts b/autogpt_platform/frontend/.storybook/theme.ts
new file mode 100644
index 000000000000..bebc5b939d95
--- /dev/null
+++ b/autogpt_platform/frontend/.storybook/theme.ts
@@ -0,0 +1,9 @@
+import { create } from "storybook/theming/create";
+
+export const theme = create({
+  base: "light",
+  brandTitle: "AutoGPT Platform",
+  brandUrl: "https://autogpt.com",
+  brandTarget: "_self",
+  brandImage: "/storybook/autogpt-logo-storybook.png",
+});
diff --git a/autogpt_platform/frontend/Dockerfile b/autogpt_platform/frontend/Dockerfile
index 8d509922120e..0b6fe4491b03 100644
--- a/autogpt_platform/frontend/Dockerfile
+++ b/autogpt_platform/frontend/Dockerfile
@@ -1,22 +1,21 @@
 # Base stage for both dev and prod
 FROM node:21-alpine AS base
 WORKDIR /app
-COPY autogpt_platform/frontend/package.json autogpt_platform/frontend/yarn.lock ./
-RUN --mount=type=cache,target=/usr/local/share/.cache yarn install --frozen-lockfile
-
-# Dev stage
-FROM base AS dev
-ENV NODE_ENV=development
-ENV HOSTNAME=0.0.0.0
-COPY autogpt_platform/frontend/ .
-EXPOSE 3000
-CMD ["yarn", "run", "dev", "--hostname", "0.0.0.0"]
+RUN corepack enable
+COPY autogpt_platform/frontend/package.json autogpt_platform/frontend/pnpm-lock.yaml ./
+RUN --mount=type=cache,target=/root/.local/share/pnpm pnpm install --frozen-lockfile
 
 # Build stage for prod
 FROM base AS build
+
 COPY autogpt_platform/frontend/ .
-ENV SKIP_STORYBOOK_TESTS=true
-RUN yarn build
+RUN if [ -f .env ]; then \
+      cat .env.default .env > .env.merged && mv .env.merged .env; \
+    else \
+      cp .env.default .env; \
+    fi
+RUN pnpm run generate:api
+RUN pnpm build
 
 # Prod stage - based on NextJS reference Dockerfile https://github.com/vercel/next.js/blob/64271354533ed16da51be5dce85f0dbd15f17517/examples/with-docker/Dockerfile
 FROM node:21-alpine AS prod
diff --git a/autogpt_platform/frontend/README.md b/autogpt_platform/frontend/README.md
index a89d28f406df..ebc67644550d 100644
--- a/autogpt_platform/frontend/README.md
+++ b/autogpt_platform/frontend/README.md
@@ -1,46 +1,285 @@
 This is the frontend for AutoGPT's next generation
 
-## Getting Started
+## 🧢 Getting Started
 
-Run the following installation once.
+This project uses [**pnpm**](https://pnpm.io/) as the package manager via **corepack**. [Corepack](https://github.com/nodejs/corepack) is a Node.js tool that automatically manages package managers without requiring global installations.
+
+### Prerequisites
+
+Make sure you have Node.js 16.10+ installed. Corepack is included with Node.js by default.
+
+### ⚠️ Migrating from yarn
+
+> This project was previously using yarn1, make sure to clean up the old files if you set it up previously with yarn:
+>
+> ```bash
+> rm -f yarn.lock && rm -rf node_modules
+> ```
+>
+> Then follow the setup steps below.
+
+## Setup
+
+### 1. **Enable corepack** (run this once on your system):
+
+```bash
+corepack enable
+```
+
+This enables corepack to automatically manage pnpm based on the `packageManager` field in `package.json`.
+
+### 2. **Install dependencies**:
 
 ```bash
-npm install
-# or
-yarn install
-# or
-pnpm install
-# or
-bun install
+pnpm i
 ```
 
-Next, run the development server:
+### 3. **Start the development server**:
+
+#### Running the Front-end & Back-end separately
+
+We recommend this approach if you are doing active development on the project. First spin up the Back-end:
 
 ```bash
-npm run dev
-# or
-yarn dev
-# or
+# on `autogpt_platform`
+docker compose --profile local up deps_backend -d
+# on `autogpt_platform/backend`
+poetry run app
+```
+
+Then start the Front-end:
+
+```bash
+# on `autogpt_platform/frontend`
 pnpm dev
-# or
-bun dev
 ```
 
-Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. If the server starts on `http://localhost:3001` it means the Front-end is already running via Docker. You have to kill the container then or do `docker compose down`.
 
 You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
 
-For subsequent runs, you do not have to `npm install` again. Simply do `npm run dev`.
+#### Running both the Front-end and Back-end via Docker
+
+If you run:
+
+```bash
+# on `autogpt_platform`
+docker compose up -d
+```
+
+It will spin up the Back-end and Front-end via Docker. The Front-end will start on port `3000`. This might not be
+what you want when actively contributing to the Front-end as you won't have direct/easy access to the Next.js dev server.
+
+### Subsequent Runs
+
+For subsequent development sessions, you only need to run:
+
+```bash
+pnpm dev
+```
+
+Every time a new Front-end dependency is added by you or others, you will need to run `pnpm i` to install the new dependencies.
 
-If the project is updated via git, you will need to `npm install` after each update.
+### Available Scripts
+
+- `pnpm dev` - Start development server
+- `pnpm build` - Build for production
+- `pnpm start` - Start production server
+- `pnpm lint` - Run ESLint and Prettier checks
+- `pnpm format` - Format code with Prettier
+- `pnpm types` - Run TypeScript type checking
+- `pnpm test` - Run Playwright tests
+- `pnpm test-ui` - Run Playwright tests with UI
+- `pnpm fetch:openapi` - Fetch OpenAPI spec from backend
+- `pnpm generate:api-client` - Generate API client from OpenAPI spec
+- `pnpm generate:api` - Fetch OpenAPI spec and generate API client
 
 This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
 
-## Deploy
+## 🔄 Data Fetching Strategy
+
+> [!NOTE]
+> You don't need to run the OpenAPI commands below to run the Front-end. You will only need to run them when adding or modifying endpoints on the Backend API and wanting to use those on the Frontend.
+
+This project uses an auto-generated API client powered by [**Orval**](https://orval.dev/), which creates type-safe API clients from OpenAPI specifications.
+
+### How It Works
+
+1. **Backend Requirements**: Each API endpoint needs a summary and tag in the OpenAPI spec
+2. **Operation ID Generation**: FastAPI generates operation IDs using the pattern `{method}{tag}{summary}`
+3. **Spec Fetching**: The OpenAPI spec is fetched from `http://localhost:8006/openapi.json` and saved to the frontend
+4. **Spec Transformation**: The OpenAPI spec is cleaned up using a custom transformer (see `autogpt_platform/frontend/src/app/api/transformers`)
+5. **Client Generation**: Auto-generated client includes TypeScript types, API endpoints, and Zod schemas, organized by tags
+
+### API Client Commands
+
+```bash
+# Fetch OpenAPI spec from backend and generate client
+pnpm generate:api
+
+# Only fetch the OpenAPI spec
+pnpm fetch:openapi
+
+# Only generate the client (after spec is fetched)
+pnpm generate:api-client
+```
+
+### Using the Generated Client
+
+The generated client provides React Query hooks for both queries and mutations:
+
+#### Queries (GET requests)
+
+```typescript
+import { useGetV1GetNotificationPreferences } from "@/app/api/__generated__/endpoints/auth/auth";
+
+const { data, isLoading, isError } = useGetV1GetNotificationPreferences({
+  query: {
+    select: (res) => res.data,
+    // Other React Query options
+  },
+});
+```
+
+#### Mutations (POST, PUT, DELETE requests)
+
+```typescript
+import { useDeleteV2DeleteStoreSubmission } from "@/app/api/__generated__/endpoints/store/store";
+import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
+import { useQueryClient } from "@tanstack/react-query";
+
+const queryClient = useQueryClient();
+
+const { mutateAsync: deleteSubmission } = useDeleteV2DeleteStoreSubmission({
+  mutation: {
+    onSuccess: () => {
+      // Invalidate related queries to refresh data
+      queryClient.invalidateQueries({
+        queryKey: getGetV2ListMySubmissionsQueryKey(),
+      });
+    },
+  },
+});
+
+// Usage
+await deleteSubmission({
+  submissionId: submission_id,
+});
+```
+
+#### Server Actions
+
+For server-side operations, you can also use the generated client functions directly:
+
+```typescript
+import { postV1UpdateNotificationPreferences } from "@/app/api/__generated__/endpoints/auth/auth";
+
+// In a server action
+const preferences = {
+  email: "user@example.com",
+  preferences: {
+    AGENT_RUN: true,
+    ZERO_BALANCE: false,
+    // ... other preferences
+  },
+  daily_limit: 0,
+};
+
+await postV1UpdateNotificationPreferences(preferences);
+```
+
+#### Server-Side Prefetching
+
+For server-side components, you can prefetch data on the server and hydrate it in the client cache. This allows immediate access to cached data when queries are called:
+
+```typescript
+import { getQueryClient } from "@/lib/tanstack-query/getQueryClient";
+import {
+  prefetchGetV2ListStoreAgentsQuery,
+  prefetchGetV2ListStoreCreatorsQuery
+} from "@/app/api/__generated__/endpoints/store/store";
+import { HydrationBoundary, dehydrate } from "@tanstack/react-query";
+
+// In your server component
+const queryClient = getQueryClient();
+
+await Promise.all([
+  prefetchGetV2ListStoreAgentsQuery(queryClient, {
+    featured: true,
+  }),
+  prefetchGetV2ListStoreAgentsQuery(queryClient, {
+    sorted_by: "runs",
+  }),
+  prefetchGetV2ListStoreCreatorsQuery(queryClient, {
+    featured: true,
+    sorted_by: "num_agents",
+  }),
+]);
+
+return (
+  <HydrationBoundary state={dehydrate(queryClient)}>
+    <MainMarkeplacePage />
+  </HydrationBoundary>
+);
+```
+
+This pattern improves performance by serving pre-fetched data from the server while maintaining the benefits of client-side React Query features.
+
+### Configuration
+
+The Orval configuration is located in `autogpt_platform/frontend/orval.config.ts`. It generates two separate clients:
+
+1. **autogpt_api_client**: React Query hooks for client-side data fetching
+2. **autogpt_zod_schema**: Zod schemas for validation
+
+For more details, see the [Orval documentation](https://orval.dev/) or check the configuration file.
+
+## 🚩 Feature Flags
+
+This project uses [LaunchDarkly](https://launchdarkly.com/) for feature flags, allowing us to control feature rollouts and A/B testing.
+
+### Using Feature Flags
+
+#### Check if a feature is enabled
+
+```typescript
+import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
+
+function MyComponent() {
+  const isAgentActivityEnabled = useGetFlag(Flag.AGENT_ACTIVITY);
+
+  if (!isAgentActivityEnabled) {
+    return null; // Hide feature
+  }
+
+  return <div>Feature is enabled!</div>;
+}
+```
+
+#### Protect entire components
+
+```typescript
+import { withFeatureFlag } from "@/services/feature-flags/with-feature-flag";
+
+const MyFeaturePage = withFeatureFlag(MyPageComponent, "my-feature-flag");
+```
+
+### Testing with Feature Flags
+
+For local development or running Playwright tests locally, use mocked feature flags by setting `NEXT_PUBLIC_PW_TEST=true` in your `.env` file. This bypasses LaunchDarkly and uses the mock values defined in the code.
+
+### Adding New Flags
+
+1. Add the flag to the `Flag` enum in `use-get-flag.ts`
+2. Add the flag type to `FlagValues` type
+3. Add mock value to `mockFlags` for testing
+4. Configure the flag in LaunchDarkly dashboard
+
+## 🚚 Deploy
 
 TODO
 
-## Storybook
+## 📙 Storybook
 
 Storybook is a powerful development environment for UI components. It allows you to build UI components in isolation, making it easier to develop, test, and document your components independently from your main application.
 
@@ -57,7 +296,7 @@ Storybook is a powerful development environment for UI components. It allows you
    Run the following command to start the Storybook development server:
 
    ```bash
-   npm run storybook
+   pnpm storybook
    ```
 
    This will start Storybook on port 6006. Open [http://localhost:6006](http://localhost:6006) in your browser to view your component library.
@@ -66,23 +305,63 @@ Storybook is a powerful development environment for UI components. It allows you
    To build a static version of Storybook for deployment, use:
 
    ```bash
-   npm run build-storybook
+   pnpm build-storybook
    ```
 
 3. **Running Storybook Tests**:
    Storybook tests can be run using:
 
    ```bash
-   npm run test-storybook
-   ```
-
-   For CI environments, use:
-
-   ```bash
-   npm run test-storybook:ci
+   pnpm test-storybook
    ```
 
 4. **Writing Stories**:
    Create `.stories.tsx` files alongside your components to define different states and variations of your components.
 
 By integrating Storybook into our development workflow, we can streamline UI development, improve component reusability, and maintain a consistent design system across the project.
+
+## 🔭 Tech Stack
+
+### Core Framework & Language
+
+- [**Next.js**](https://nextjs.org/) - React framework with App Router
+- [**React**](https://react.dev/) - UI library for building user interfaces
+- [**TypeScript**](https://www.typescriptlang.org/) - Typed JavaScript for better developer experience
+
+### Styling & UI Components
+
+- [**Tailwind CSS**](https://tailwindcss.com/) - Utility-first CSS framework
+- [**shadcn/ui**](https://ui.shadcn.com/) - Re-usable components built with Radix UI and Tailwind CSS
+- [**Radix UI**](https://www.radix-ui.com/) - Headless UI components for accessibility
+- [**Lucide React**](https://lucide.dev/guide/packages/lucide-react) - Beautiful & consistent icons
+- [**Framer Motion**](https://motion.dev/) - Animation library for React
+
+### Development & Testing
+
+- [**Storybook**](https://storybook.js.org/) - Component development environment
+- [**Playwright**](https://playwright.dev/) - End-to-end testing framework
+- [**ESLint**](https://eslint.org/) - JavaScript/TypeScript linting
+- [**Prettier**](https://prettier.io/) - Code formatting
+
+### Backend & Services
+
+- [**Supabase**](https://supabase.com/) - Backend-as-a-Service (database, auth, storage)
+- [**Sentry**](https://sentry.io/) - Error monitoring and performance tracking
+
+### Package Management
+
+- [**pnpm**](https://pnpm.io/) - Fast, disk space efficient package manager
+- [**Corepack**](https://github.com/nodejs/corepack) - Node.js package manager management
+
+### Additional Libraries
+
+- [**React Hook Form**](https://react-hook-form.com/) - Forms with easy validation
+- [**Zod**](https://zod.dev/) - TypeScript-first schema validation
+- [**React Table**](https://tanstack.com/table) - Headless table library
+- [**React Flow**](https://reactflow.dev/) - Interactive node-based diagrams
+- [**React Query**](https://tanstack.com/query/latest/docs/framework/react/overview) - Data fetching and caching
+- [**React Query DevTools**](https://tanstack.com/query/latest/docs/framework/react/devtools) - Debugging tool for React Query
+
+### Development Tools
+
+- `NEXT_PUBLIC_REACT_QUERY_DEVTOOL` - Enable React Query DevTools. Set to `true` to enable.
diff --git a/autogpt_platform/frontend/instrumentation-client.ts b/autogpt_platform/frontend/instrumentation-client.ts
new file mode 100644
index 000000000000..f439303a421d
--- /dev/null
+++ b/autogpt_platform/frontend/instrumentation-client.ts
@@ -0,0 +1,65 @@
+// This file configures the initialization of Sentry on the client.
+// The config you add here will be used whenever a users loads a page in their browser.
+// https://docs.sentry.io/platforms/javascript/guides/nextjs/
+
+import { BehaveAs, getBehaveAs, getEnvironmentStr } from "@/lib/utils";
+import * as Sentry from "@sentry/nextjs";
+
+const isProductionCloud =
+  process.env.NODE_ENV === "production" && getBehaveAs() === BehaveAs.CLOUD;
+
+Sentry.init({
+  dsn: "https://fe4e4aa4a283391808a5da396da20159@o4505260022104064.ingest.us.sentry.io/4507946746380288",
+
+  environment: getEnvironmentStr(),
+
+  enabled: isProductionCloud,
+
+  // Add optional integrations for additional features
+  integrations: [
+    Sentry.replayIntegration(),
+    Sentry.httpClientIntegration(),
+    Sentry.replayCanvasIntegration(),
+    Sentry.reportingObserverIntegration(),
+    Sentry.browserProfilingIntegration(),
+    // Sentry.feedbackIntegration({
+    //   // Additional SDK configuration goes in here, for example:
+    //   colorScheme: "system",
+    // }),
+  ],
+
+  // Define how likely traces are sampled. Adjust this value in production, or use tracesSampler for greater control.
+  tracesSampleRate: 1,
+
+  // Set `tracePropagationTargets` to control for which URLs trace propagation should be enabled
+  tracePropagationTargets: [
+    "localhost",
+    "localhost:8006",
+    /^https:\/\/dev\-builder\.agpt\.co\/api/,
+    /^https:\/\/.*\.agpt\.co\/api/,
+  ],
+
+  // Define how likely Replay events are sampled.
+  // This sets the sample rate to be 10%. You may want this to be 100% while
+  // in development and sample at a lower rate in production
+  replaysSessionSampleRate: 0.1,
+
+  // Define how likely Replay events are sampled when an error occurs.
+  replaysOnErrorSampleRate: 1.0,
+
+  // Setting this option to true will print useful information to the console while you're setting up Sentry.
+  debug: false,
+
+  // Set profilesSampleRate to 1.0 to profile every transaction.
+  // Since profilesSampleRate is relative to tracesSampleRate,
+  // the final profiling rate can be computed as tracesSampleRate * profilesSampleRate
+  // For example, a tracesSampleRate of 0.5 and profilesSampleRate of 0.5 would
+  // result in 25% of transactions being profiled (0.5*0.5=0.25)
+  profilesSampleRate: 1.0,
+  _experiments: {
+    // Enable logs to be sent to Sentry.
+    enableLogs: true,
+  },
+});
+
+export const onRouterTransitionStart = Sentry.captureRouterTransitionStart;
diff --git a/autogpt_platform/frontend/next.config.mjs b/autogpt_platform/frontend/next.config.mjs
index 6700943d43e2..c1b31680412e 100644
--- a/autogpt_platform/frontend/next.config.mjs
+++ b/autogpt_platform/frontend/next.config.mjs
@@ -9,68 +9,74 @@ const nextConfig = {
       "upload.wikimedia.org",
       "storage.googleapis.com",
 
+      "ideogram.ai", // for generated images
       "picsum.photos", // for placeholder images
-      "dummyimage.com", // for placeholder images
-      "placekitten.com", // for placeholder images
     ],
   },
   output: "standalone",
-  // TODO: Re-enable TypeScript checks once current issues are resolved
-  typescript: {
-    ignoreBuildErrors: true,
-  },
+  transpilePackages: ["geist"],
 };
 
-export default withSentryConfig(nextConfig, {
-  // For all available options, see:
-  // https://github.com/getsentry/sentry-webpack-plugin#options
+const isDevelopmentBuild = process.env.NODE_ENV !== "production";
 
-  org: "significant-gravitas",
-  project: "builder",
+export default isDevelopmentBuild
+  ? nextConfig
+  : withSentryConfig(nextConfig, {
+      // For all available options, see:
+      // https://github.com/getsentry/sentry-webpack-plugin#options
 
-  // Only print logs for uploading source maps in CI
-  silent: !process.env.CI,
+      org: "significant-gravitas",
+      project: "builder",
 
-  // For all available options, see:
-  // https://docs.sentry.io/platforms/javascript/guides/nextjs/manual-setup/
+      // Expose Vercel env to the client
+      env: {
+        NEXT_PUBLIC_VERCEL_ENV: process.env.VERCEL_ENV,
+      },
 
-  // Upload a larger set of source maps for prettier stack traces (increases build time)
-  widenClientFileUpload: true,
+      // Only print logs for uploading source maps in CI
+      silent: !process.env.CI,
 
-  // Automatically annotate React components to show their full name in breadcrumbs and session replay
-  reactComponentAnnotation: {
-    enabled: true,
-  },
+      // For all available options, see:
+      // https://docs.sentry.io/platforms/javascript/guides/nextjs/manual-setup/
 
-  // Route browser requests to Sentry through a Next.js rewrite to circumvent ad-blockers.
-  // This can increase your server load as well as your hosting bill.
-  // Note: Check that the configured route will not match with your Next.js middleware, otherwise reporting of client-
-  // side errors will fail.
-  tunnelRoute: "/store",
+      // Upload a larger set of source maps for prettier stack traces (increases build time)
+      widenClientFileUpload: true,
 
-  // Hides source maps from generated client bundles
-  hideSourceMaps: true,
+      // Automatically annotate React components to show their full name in breadcrumbs and session replay
+      reactComponentAnnotation: {
+        enabled: true,
+      },
 
-  // Automatically tree-shake Sentry logger statements to reduce bundle size
-  disableLogger: true,
+      // Route browser requests to Sentry through a Next.js rewrite to circumvent ad-blockers.
+      // This can increase your server load as well as your hosting bill.
+      // Note: Check that the configured route will not match with your Next.js middleware, otherwise reporting of client-
+      // side errors will fail.
+      tunnelRoute: "/store",
 
-  // Enables automatic instrumentation of Vercel Cron Monitors. (Does not yet work with App Router route handlers.)
-  // See the following for more information:
-  // https://docs.sentry.io/product/crons/
-  // https://vercel.com/docs/cron-jobs
-  automaticVercelMonitors: true,
+      // No need to hide source maps from generated client bundles
+      // since the source is public anyway :)
+      hideSourceMaps: false,
 
-  async headers() {
-    return [
-      {
-        source: "/:path*",
-        headers: [
+      // Automatically tree-shake Sentry logger statements to reduce bundle size
+      disableLogger: true,
+
+      // Enables automatic instrumentation of Vercel Cron Monitors. (Does not yet work with App Router route handlers.)
+      // See the following for more information:
+      // https://docs.sentry.io/product/crons/
+      // https://vercel.com/docs/cron-jobs
+      automaticVercelMonitors: true,
+
+      async headers() {
+        return [
           {
-            key: "Document-Policy",
-            value: "js-profiling",
+            source: "/:path*",
+            headers: [
+              {
+                key: "Document-Policy",
+                value: "js-profiling",
+              },
+            ],
           },
-        ],
+        ];
       },
-    ];
-  },
-});
+    });
diff --git a/autogpt_platform/frontend/orval.config.ts b/autogpt_platform/frontend/orval.config.ts
new file mode 100644
index 000000000000..434ba70a4c6c
--- /dev/null
+++ b/autogpt_platform/frontend/orval.config.ts
@@ -0,0 +1,70 @@
+import { defineConfig } from "orval";
+
+export default defineConfig({
+  autogpt_api_client: {
+    input: {
+      target: `./src/app/api/openapi.json`,
+      override: {
+        transformer: "./src/app/api/transformers/fix-tags.mjs",
+      },
+    },
+    output: {
+      workspace: "./src/app/api",
+      target: `./__generated__/endpoints`,
+      schemas: "./__generated__/models",
+      mode: "tags-split",
+      client: "react-query",
+      httpClient: "fetch",
+      indexFiles: false,
+      override: {
+        mutator: {
+          path: "./mutators/custom-mutator.ts",
+          name: "customMutator",
+        },
+        query: {
+          useQuery: true,
+          useMutation: true,
+          usePrefetch: true,
+          // Will add more as their use cases arise
+        },
+        useDates: true,
+        operations: {
+          "getV2List library agents": {
+            query: {
+              useInfinite: true,
+              useInfiniteQueryParam: "page",
+            },
+          },
+          "getV1List graph executions": {
+            query: {
+              useInfinite: true,
+              useInfiniteQueryParam: "page",
+            },
+          },
+        },
+      },
+    },
+    hooks: {
+      afterAllFilesWrite: "prettier --write",
+    },
+  },
+  // autogpt_zod_schema: {
+  //   input: {
+  //     target: `./src/app/api/openapi.json`,
+  //     override: {
+  //       transformer: "./src/app/api/transformers/fix-tags.mjs",
+  //     },
+  //   },
+  //   output: {
+  //     workspace: "./src/app/api",
+  //     target: `./__generated__/zod-schema`,
+  //     schemas: "./__generated__/models",
+  //     mode: "tags-split",
+  //     client: "zod",
+  //     indexFiles: false,
+  //   },
+  //   hooks: {
+  //     afterAllFilesWrite: "prettier --write",
+  //   },
+  // },
+});
diff --git a/autogpt_platform/frontend/package.json b/autogpt_platform/frontend/package.json
index 1d3545133a7e..814ce3d9cadd 100644
--- a/autogpt_platform/frontend/package.json
+++ b/autogpt_platform/frontend/package.json
@@ -3,120 +3,139 @@
   "version": "0.3.4",
   "private": true,
   "scripts": {
-    "dev": "next dev",
-    "dev:nosentry": "NODE_ENV=development && DISABLE_SENTRY=true && next dev",
-    "dev:test": "NODE_ENV=test && next dev",
-    "build": "SKIP_STORYBOOK_TESTS=true next build",
+    "dev": "pnpm run generate:api:force && next dev --turbo",
+    "build": "next build",
     "start": "next start",
+    "start:standalone": "cd .next/standalone && node server.js",
     "lint": "next lint && prettier --check .",
-    "format": "prettier --write .",
-    "type-check": "tsc --noEmit",
-    "test": "playwright test",
-    "test-ui": "playwright test --ui",
+    "format": "next lint --fix; prettier --write .",
+    "types": "tsc --noEmit",
+    "test": "next build --turbo && playwright test",
+    "test-ui": "next build --turbo && playwright test --ui",
+    "test:no-build": "playwright test",
     "gentests": "playwright codegen http://localhost:3000",
     "storybook": "storybook dev -p 6006",
     "build-storybook": "storybook build",
     "test-storybook": "test-storybook",
-    "test-storybook:ci": "concurrently -k -s first -n \"SB,TEST\" -c \"magenta,blue\" \"npm run build-storybook -- --quiet && npx http-server storybook-static --port 6006 --silent\" \"wait-on tcp:6006 && npm run test-storybook\""
+    "test-storybook:ci": "concurrently -k -s first -n \"SB,TEST\" -c \"magenta,blue\" \"pnpm run build-storybook -- --quiet && npx http-server storybook-static --port 6006 --silent\" \"wait-on tcp:6006 && pnpm run test-storybook\"",
+    "generate:api": "npx --yes tsx ./scripts/generate-api-queries.ts && orval --config ./orval.config.ts",
+    "generate:api:force": "npx --yes tsx ./scripts/generate-api-queries.ts --force && orval --config ./orval.config.ts"
   },
   "browserslist": [
     "defaults"
   ],
   "dependencies": {
-    "@faker-js/faker": "^9.3.0",
-    "@hookform/resolvers": "^3.9.1",
-    "@next/third-parties": "^15.0.4",
-    "@radix-ui/react-alert-dialog": "^1.1.4",
-    "@radix-ui/react-avatar": "^1.1.1",
-    "@radix-ui/react-checkbox": "^1.1.2",
-    "@radix-ui/react-collapsible": "^1.1.1",
-    "@radix-ui/react-context-menu": "^2.2.4",
-    "@radix-ui/react-dialog": "^1.1.2",
-    "@radix-ui/react-dropdown-menu": "^2.1.4",
-    "@radix-ui/react-icons": "^1.3.2",
-    "@radix-ui/react-label": "^2.1.0",
-    "@radix-ui/react-popover": "^1.1.4",
-    "@radix-ui/react-radio-group": "^1.2.1",
-    "@radix-ui/react-scroll-area": "^1.2.1",
-    "@radix-ui/react-select": "^2.1.4",
-    "@radix-ui/react-separator": "^1.1.0",
-    "@radix-ui/react-slot": "^1.1.0",
-    "@radix-ui/react-switch": "^1.1.1",
-    "@radix-ui/react-toast": "^1.2.4",
-    "@radix-ui/react-tooltip": "^1.1.6",
-    "@sentry/nextjs": "^8",
-    "@supabase/ssr": "^0.5.2",
-    "@supabase/supabase-js": "^2.47.8",
-    "@tanstack/react-table": "^8.20.6",
-    "@xyflow/react": "^12.3.6",
-    "ajv": "^8.17.1",
-    "boring-avatars": "^1.11.2",
-    "class-variance-authority": "^0.7.1",
-    "clsx": "^2.1.1",
-    "cmdk": "1.0.4",
+    "@faker-js/faker": "9.9.0",
+    "@hookform/resolvers": "5.2.1",
+    "@next/third-parties": "15.4.6",
+    "@phosphor-icons/react": "2.1.10",
+    "@radix-ui/react-alert-dialog": "1.1.15",
+    "@radix-ui/react-avatar": "1.1.10",
+    "@radix-ui/react-checkbox": "1.3.3",
+    "@radix-ui/react-collapsible": "1.1.12",
+    "@radix-ui/react-context-menu": "2.2.16",
+    "@radix-ui/react-dialog": "1.1.15",
+    "@radix-ui/react-dropdown-menu": "2.1.16",
+    "@radix-ui/react-icons": "1.3.2",
+    "@radix-ui/react-label": "2.1.7",
+    "@radix-ui/react-popover": "1.1.15",
+    "@radix-ui/react-radio-group": "1.3.8",
+    "@radix-ui/react-scroll-area": "1.2.10",
+    "@radix-ui/react-select": "2.2.6",
+    "@radix-ui/react-separator": "1.1.7",
+    "@radix-ui/react-slot": "1.2.3",
+    "@radix-ui/react-switch": "1.2.6",
+    "@radix-ui/react-tabs": "1.1.13",
+    "@radix-ui/react-toast": "1.2.15",
+    "@radix-ui/react-tooltip": "1.2.8",
+    "@sentry/nextjs": "9.42.0",
+    "@supabase/ssr": "0.6.1",
+    "@supabase/supabase-js": "2.55.0",
+    "@tanstack/react-query": "5.85.3",
+    "@tanstack/react-table": "8.21.3",
+    "@types/jaro-winkler": "0.2.4",
+    "@xyflow/react": "12.8.3",
+    "boring-avatars": "1.11.2",
+    "class-variance-authority": "0.7.1",
+    "clsx": "2.1.1",
+    "cmdk": "1.1.1",
     "cookie": "1.0.2",
-    "date-fns": "^4.1.0",
-    "dotenv": "^16.4.7",
+    "date-fns": "4.1.0",
+    "dotenv": "17.2.1",
     "elliptic": "6.6.1",
-    "embla-carousel-react": "^8.3.0",
-    "framer-motion": "^11.15.0",
-    "geist": "^1.3.1",
-    "launchdarkly-react-client-sdk": "^3.6.0",
-    "lucide-react": "^0.468.0",
-    "moment": "^2.30.1",
-    "next": "^14.2.13",
-    "next-themes": "^0.4.4",
-    "react": "^18",
-    "react-day-picker": "^9.4.4",
-    "react-dom": "^18",
-    "react-hook-form": "^7.54.0",
-    "react-icons": "^5.4.0",
-    "react-markdown": "^9.0.1",
-    "react-modal": "^3.16.1",
-    "react-shepherd": "^6.1.6",
-    "recharts": "^2.14.1",
-    "tailwind-merge": "^2.5.5",
-    "tailwindcss-animate": "^1.0.7",
-    "uuid": "^11.0.3",
-    "zod": "^3.23.8"
+    "embla-carousel-react": "8.6.0",
+    "framer-motion": "12.23.12",
+    "geist": "1.4.2",
+    "jaro-winkler": "0.2.8",
+    "launchdarkly-react-client-sdk": "3.8.1",
+    "lodash": "4.17.21",
+    "lucide-react": "0.539.0",
+    "moment": "2.30.1",
+    "next": "15.4.6",
+    "next-themes": "0.4.6",
+    "nuqs": "2.4.3",
+    "party-js": "2.2.0",
+    "react": "18.3.1",
+    "react-day-picker": "9.8.1",
+    "react-dom": "18.3.1",
+    "react-drag-drop-files": "2.4.0",
+    "react-hook-form": "7.62.0",
+    "react-icons": "5.5.0",
+    "react-markdown": "9.0.3",
+    "react-modal": "3.16.3",
+    "react-shepherd": "6.1.9",
+    "react-window": "1.8.11",
+    "recharts": "2.15.3",
+    "shepherd.js": "14.5.1",
+    "sonner": "2.0.7",
+    "tailwind-merge": "2.6.0",
+    "tailwindcss-animate": "1.0.7",
+    "uuid": "11.1.0",
+    "vaul": "1.1.2",
+    "zod": "3.25.76"
   },
   "devDependencies": {
-    "@chromatic-com/storybook": "^3.2.2",
-    "@playwright/test": "^1.48.2",
-    "@storybook/addon-a11y": "^8.3.5",
-    "@storybook/addon-essentials": "^8.4.2",
-    "@storybook/addon-interactions": "^8.4.2",
-    "@storybook/addon-links": "^8.4.2",
-    "@storybook/addon-onboarding": "^8.4.2",
-    "@storybook/blocks": "^8.4.2",
-    "@storybook/nextjs": "^8.4.2",
-    "@storybook/react": "^8.3.5",
-    "@storybook/test": "^8.3.5",
-    "@storybook/test-runner": "^0.20.1",
-    "@types/negotiator": "^0.6.3",
-    "@types/node": "^22.9.0",
-    "@types/react": "^18",
-    "@types/react-dom": "^18",
-    "@types/react-modal": "^3.16.3",
-    "axe-playwright": "^2.0.3",
-    "chromatic": "^11.12.5",
-    "concurrently": "^9.0.1",
-    "eslint": "^8",
-    "eslint-config-next": "15.1.0",
-    "eslint-plugin-storybook": "^0.11.0",
-    "msw": "^2.7.0",
-    "msw-storybook-addon": "^2.0.3",
-    "postcss": "^8",
-    "prettier": "^3.3.3",
-    "prettier-plugin-tailwindcss": "^0.6.9",
-    "storybook": "^8.4.5",
-    "tailwindcss": "^3.4.15",
-    "typescript": "^5"
+    "@chromatic-com/storybook": "4.1.0",
+    "@playwright/test": "1.54.2",
+    "@storybook/addon-a11y": "9.1.2",
+    "@storybook/addon-docs": "9.1.2",
+    "@storybook/addon-links": "9.1.2",
+    "@storybook/addon-onboarding": "9.1.2",
+    "@storybook/nextjs": "9.1.2",
+    "@tanstack/eslint-plugin-query": "5.83.1",
+    "@tanstack/react-query-devtools": "5.84.2",
+    "@types/canvas-confetti": "1.9.0",
+    "@types/lodash": "4.17.20",
+    "@types/negotiator": "0.6.4",
+    "@types/node": "24.2.1",
+    "@types/react": "18.3.17",
+    "@types/react-dom": "18.3.5",
+    "@types/react-modal": "3.16.3",
+    "@types/react-window": "1.8.8",
+    "axe-playwright": "2.1.0",
+    "chromatic": "13.1.3",
+    "concurrently": "9.2.0",
+    "cross-env": "7.0.3",
+    "eslint": "8.57.1",
+    "eslint-config-next": "15.4.6",
+    "eslint-plugin-storybook": "9.1.2",
+    "import-in-the-middle": "1.14.2",
+    "msw": "2.10.4",
+    "msw-storybook-addon": "2.0.5",
+    "orval": "7.11.2",
+    "pbkdf2": "3.1.3",
+    "postcss": "8.5.6",
+    "prettier": "3.6.2",
+    "prettier-plugin-tailwindcss": "0.6.14",
+    "require-in-the-middle": "7.5.2",
+    "storybook": "9.1.2",
+    "tailwindcss": "3.4.17",
+    "typescript": "5.9.2"
   },
-  "packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e",
   "msw": {
     "workerDirectory": [
       "public"
     ]
-  }
+  },
+  "packageManager": "pnpm@10.11.1+sha256.211e9990148495c9fc30b7e58396f7eeda83d9243eb75407ea4f8650fb161f7c"
 }
diff --git a/autogpt_platform/frontend/playwright.config.ts b/autogpt_platform/frontend/playwright.config.ts
index ed0bdc445c45..66a76a910bd2 100644
--- a/autogpt_platform/frontend/playwright.config.ts
+++ b/autogpt_platform/frontend/playwright.config.ts
@@ -13,72 +13,46 @@ dotenv.config({ path: path.resolve(__dirname, "../backend/.env") });
  */
 export default defineConfig({
   testDir: "./src/tests",
+  /* Global setup file that runs before all tests */
+  globalSetup: "./src/tests/global-setup.ts",
   /* Run tests in files in parallel */
   fullyParallel: true,
   /* Fail the build on CI if you accidentally left test.only in the source code. */
   forbidOnly: !!process.env.CI,
   /* Retry on CI only */
-  retries: process.env.CI ? 2 : 0,
-  /* Opt out of parallel tests on CI. */
-  workers: process.env.CI ? 1 : undefined,
+  retries: process.env.CI ? 1 : 0,
+  /* use more workers on CI. */
+  workers: process.env.CI ? 4 : undefined,
   /* Reporter to use. See https://playwright.dev/docs/test-reporters */
-  reporter: "html",
+  reporter: [["list"], ["html", { open: "never" }]],
   /* Shared settings for all the projects below. See https://playwright.dev/docs/api/class-testoptions. */
   use: {
     /* Base URL to use in actions like `await page.goto('/')`. */
     baseURL: "http://localhost:3000/",
 
     /* Collect trace when retrying the failed test. See https://playwright.dev/docs/trace-viewer */
-    trace: "on-first-retry",
     screenshot: "only-on-failure",
     bypassCSP: true,
+
+    /* Helps debugging failures */
+    trace: "retain-on-failure",
+    video: "retain-on-failure",
   },
   /* Maximum time one test can run for */
-  timeout: 60000,
+  timeout: 25000,
+
+  /* Configure web server to start automatically */
+  webServer: {
+    command: "pnpm start",
+    url: "http://localhost:3000",
+    reuseExistingServer: true,
+  },
 
   /* Configure projects for major browsers */
   projects: [
     {
       name: "chromium",
-      use: { ...devices["Desktop Chrome"] },
+      use: { ...devices["Desktop Chrome"], channel: "chromium" },
     },
-
-    // {
-    //   name: "firefox",
-    //   use: { ...devices["Desktop Firefox"] },
-    // },
-
-    {
-      name: "webkit",
-      use: { ...devices["Desktop Safari"] },
-    },
-
-    // /* Test against mobile viewports. */
-    // // {
-    // //   name: 'Mobile Chrome',
-    // //   use: { ...devices['Pixel 5'] },
-    // // },
-    // // {
-    // //   name: 'Mobile Safari',
-    // //   use: { ...devices['iPhone 12'] },
-    // // },
-
-    // /* Test against branded browsers. */
-    // {
-    //   name: "Microsoft Edge",
-    //   use: { ...devices["Desktop Edge"], channel: "msedge" },
-    // },
-    // {
-    //   name: 'Google Chrome',
-    //   use: { ...devices['Desktop Chrome'], channel: 'chrome' },
-    // },
   ],
-
-  /* Run your local dev server before starting the tests */
-  webServer: {
-    command: "npm run build && npm run start",
-    url: "http://localhost:3000/",
-    reuseExistingServer: !process.env.CI,
-    timeout: 120 * 1000,
-  },
 });
diff --git a/autogpt_platform/frontend/pnpm-lock.yaml b/autogpt_platform/frontend/pnpm-lock.yaml
new file mode 100644
index 000000000000..f0da34d23046
--- /dev/null
+++ b/autogpt_platform/frontend/pnpm-lock.yaml
@@ -0,0 +1,15050 @@
+lockfileVersion: '9.0'
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
+
+importers:
+
+  .:
+    dependencies:
+      '@faker-js/faker':
+        specifier: 9.9.0
+        version: 9.9.0
+      '@hookform/resolvers':
+        specifier: 5.2.1
+        version: 5.2.1(react-hook-form@7.62.0(react@18.3.1))
+      '@next/third-parties':
+        specifier: 15.4.6
+        version: 15.4.6(next@15.4.6(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(@playwright/test@1.54.2)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(react@18.3.1)
+      '@phosphor-icons/react':
+        specifier: 2.1.10
+        version: 2.1.10(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-alert-dialog':
+        specifier: 1.1.15
+        version: 1.1.15(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-avatar':
+        specifier: 1.1.10
+        version: 1.1.10(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-checkbox':
+        specifier: 1.3.3
+        version: 1.3.3(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-collapsible':
+        specifier: 1.1.12
+        version: 1.1.12(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-context-menu':
+        specifier: 2.2.16
+        version: 2.2.16(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-dialog':
+        specifier: 1.1.15
+        version: 1.1.15(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-dropdown-menu':
+        specifier: 2.1.16
+        version: 2.1.16(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-icons':
+        specifier: 1.3.2
+        version: 1.3.2(react@18.3.1)
+      '@radix-ui/react-label':
+        specifier: 2.1.7
+        version: 2.1.7(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-popover':
+        specifier: 1.1.15
+        version: 1.1.15(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-radio-group':
+        specifier: 1.3.8
+        version: 1.3.8(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-scroll-area':
+        specifier: 1.2.10
+        version: 1.2.10(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-select':
+        specifier: 2.2.6
+        version: 2.2.6(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-separator':
+        specifier: 1.1.7
+        version: 1.1.7(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-slot':
+        specifier: 1.2.3
+        version: 1.2.3(@types/react@18.3.17)(react@18.3.1)
+      '@radix-ui/react-switch':
+        specifier: 1.2.6
+        version: 1.2.6(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-tabs':
+        specifier: 1.1.13
+        version: 1.1.13(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-toast':
+        specifier: 1.2.15
+        version: 1.2.15(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@radix-ui/react-tooltip':
+        specifier: 1.2.8
+        version: 1.2.8(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      '@sentry/nextjs':
+        specifier: 9.42.0
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+      react-remove-scroll: 2.7.1(@types/react@18.3.17)(react@18.3.1)
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+      '@types/react-dom': 18.3.5(@types/react@18.3.17)
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+      '@radix-ui/react-context': 1.1.2(@types/react@18.3.17)(react@18.3.1)
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+      '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@18.3.17)(react@18.3.1)
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+      '@radix-ui/react-presence': 1.1.5(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
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+      '@types/react-dom': 18.3.5(@types/react@18.3.17)
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+      '@radix-ui/react-id': 1.1.1(@types/react@18.3.17)(react@18.3.1)
+      '@radix-ui/react-popper': 1.2.8(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
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+      '@radix-ui/react-portal': 1.1.9(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
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+      browserslist: 4.25.2
+      escalade: 3.2.0
+      picocolors: 1.1.1
+
+  uri-js@4.4.1:
+    dependencies:
+      punycode: 2.3.1
+
+  urijs@1.19.11: {}
+
+  url-parse@1.5.10:
+    dependencies:
+      querystringify: 2.2.0
+      requires-port: 1.0.0
+
+  url@0.11.4:
+    dependencies:
+      punycode: 1.4.1
+      qs: 6.14.0
+
+  use-callback-ref@1.3.3(@types/react@18.3.17)(react@18.3.1):
+    dependencies:
+      react: 18.3.1
+      tslib: 2.8.1
+    optionalDependencies:
+      '@types/react': 18.3.17
+
+  use-sidecar@1.1.3(@types/react@18.3.17)(react@18.3.1):
+    dependencies:
+      detect-node-es: 1.1.0
+      react: 18.3.1
+      tslib: 2.8.1
+    optionalDependencies:
+      '@types/react': 18.3.17
+
+  use-sync-external-store@1.5.0(react@18.3.1):
+    dependencies:
+      react: 18.3.1
+
+  util-deprecate@1.0.2: {}
+
+  util@0.12.5:
+    dependencies:
+      inherits: 2.0.4
+      is-arguments: 1.2.0
+      is-generator-function: 1.1.0
+      is-typed-array: 1.1.15
+      which-typed-array: 1.1.19
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+  utility-types@3.11.0: {}
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+  uuid@11.1.0: {}
+
+  uuid@8.3.2: {}
+
+  uuid@9.0.1: {}
+
+  validator@13.15.15: {}
+
+  vaul@1.1.2(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
+    dependencies:
+      '@radix-ui/react-dialog': 1.1.15(@types/react-dom@18.3.5(@types/react@18.3.17))(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+      react: 18.3.1
+      react-dom: 18.3.1(react@18.3.1)
+    transitivePeerDependencies:
+      - '@types/react'
+      - '@types/react-dom'
+
+  vfile-message@4.0.3:
+    dependencies:
+      '@types/unist': 3.0.3
+      unist-util-stringify-position: 4.0.0
+
+  vfile@6.0.3:
+    dependencies:
+      '@types/unist': 3.0.3
+      vfile-message: 4.0.3
+
+  victory-vendor@36.9.2:
+    dependencies:
+      '@types/d3-array': 3.2.1
+      '@types/d3-ease': 3.0.2
+      '@types/d3-interpolate': 3.0.4
+      '@types/d3-scale': 4.0.9
+      '@types/d3-shape': 3.1.7
+      '@types/d3-time': 3.0.4
+      '@types/d3-timer': 3.0.2
+      d3-array: 3.2.4
+      d3-ease: 3.0.1
+      d3-interpolate: 3.0.1
+      d3-scale: 4.0.2
+      d3-shape: 3.2.0
+      d3-time: 3.1.0
+      d3-timer: 3.0.1
+
+  vm-browserify@1.1.2: {}
+
+  warning@4.0.3:
+    dependencies:
+      loose-envify: 1.4.0
+
+  watchpack@2.4.4:
+    dependencies:
+      glob-to-regexp: 0.4.1
+      graceful-fs: 4.2.11
+
+  webidl-conversions@3.0.1: {}
+
+  webpack-dev-middleware@6.1.3(webpack@5.101.1(esbuild@0.25.9)):
+    dependencies:
+      colorette: 2.0.20
+      memfs: 3.5.3
+      mime-types: 2.1.35
+      range-parser: 1.2.1
+      schema-utils: 4.3.2
+    optionalDependencies:
+      webpack: 5.101.1(esbuild@0.25.9)
+
+  webpack-hot-middleware@2.26.1:
+    dependencies:
+      ansi-html-community: 0.0.8
+      html-entities: 2.6.0
+      strip-ansi: 6.0.1
+
+  webpack-sources@3.3.3: {}
+
+  webpack-virtual-modules@0.5.0: {}
+
+  webpack-virtual-modules@0.6.2: {}
+
+  webpack@5.101.1(esbuild@0.25.9):
+    dependencies:
+      '@types/eslint-scope': 3.7.7
+      '@types/estree': 1.0.8
+      '@types/json-schema': 7.0.15
+      '@webassemblyjs/ast': 1.14.1
+      '@webassemblyjs/wasm-edit': 1.14.1
+      '@webassemblyjs/wasm-parser': 1.14.1
+      acorn: 8.15.0
+      acorn-import-phases: 1.0.4(acorn@8.15.0)
+      browserslist: 4.25.2
+      chrome-trace-event: 1.0.4
+      enhanced-resolve: 5.18.3
+      es-module-lexer: 1.7.0
+      eslint-scope: 5.1.1
+      events: 3.3.0
+      glob-to-regexp: 0.4.1
+      graceful-fs: 4.2.11
+      json-parse-even-better-errors: 2.3.1
+      loader-runner: 4.3.0
+      mime-types: 2.1.35
+      neo-async: 2.6.2
+      schema-utils: 4.3.2
+      tapable: 2.2.2
+      terser-webpack-plugin: 5.3.14(esbuild@0.25.9)(webpack@5.101.1(esbuild@0.25.9))
+      watchpack: 2.4.4
+      webpack-sources: 3.3.3
+    transitivePeerDependencies:
+      - '@swc/core'
+      - esbuild
+      - uglify-js
+
+  whatwg-url@5.0.0:
+    dependencies:
+      tr46: 0.0.3
+      webidl-conversions: 3.0.1
+
+  which-boxed-primitive@1.1.1:
+    dependencies:
+      is-bigint: 1.1.0
+      is-boolean-object: 1.2.2
+      is-number-object: 1.1.1
+      is-string: 1.1.1
+      is-symbol: 1.1.1
+
+  which-builtin-type@1.2.1:
+    dependencies:
+      call-bound: 1.0.4
+      function.prototype.name: 1.1.8
+      has-tostringtag: 1.0.2
+      is-async-function: 2.1.1
+      is-date-object: 1.1.0
+      is-finalizationregistry: 1.1.1
+      is-generator-function: 1.1.0
+      is-regex: 1.2.1
+      is-weakref: 1.1.1
+      isarray: 2.0.5
+      which-boxed-primitive: 1.1.1
+      which-collection: 1.0.2
+      which-typed-array: 1.1.19
+
+  which-collection@1.0.2:
+    dependencies:
+      is-map: 2.0.3
+      is-set: 2.0.3
+      is-weakmap: 2.0.2
+      is-weakset: 2.0.4
+
+  which-typed-array@1.1.19:
+    dependencies:
+      available-typed-arrays: 1.0.7
+      call-bind: 1.0.8
+      call-bound: 1.0.4
+      for-each: 0.3.5
+      get-proto: 1.0.1
+      gopd: 1.2.0
+      has-tostringtag: 1.0.2
+
+  which@2.0.2:
+    dependencies:
+      isexe: 2.0.0
+
+  word-wrap@1.2.5: {}
+
+  wrap-ansi@6.2.0:
+    dependencies:
+      ansi-styles: 4.3.0
+      string-width: 4.2.3
+      strip-ansi: 6.0.1
+
+  wrap-ansi@7.0.0:
+    dependencies:
+      ansi-styles: 4.3.0
+      string-width: 4.2.3
+      strip-ansi: 6.0.1
+
+  wrap-ansi@8.1.0:
+    dependencies:
+      ansi-styles: 6.2.1
+      string-width: 5.1.2
+      strip-ansi: 7.1.0
+
+  wrappy@1.0.2: {}
+
+  ws@8.18.3: {}
+
+  xmlbuilder@15.1.1: {}
+
+  xtend@4.0.2: {}
+
+  y18n@5.0.8: {}
+
+  yallist@3.1.1: {}
+
+  yaml@1.10.2: {}
+
+  yaml@2.8.1: {}
+
+  yargs-parser@21.1.1: {}
+
+  yargs@17.7.2:
+    dependencies:
+      cliui: 8.0.1
+      escalade: 3.2.0
+      get-caller-file: 2.0.5
+      require-directory: 2.1.1
+      string-width: 4.2.3
+      y18n: 5.0.8
+      yargs-parser: 21.1.1
+
+  yocto-queue@0.1.0: {}
+
+  yocto-queue@1.2.1: {}
+
+  yoctocolors-cjs@2.1.2: {}
+
+  zod@3.25.76: {}
+
+  zustand@4.5.7(@types/react@18.3.17)(immer@9.0.21)(react@18.3.1):
+    dependencies:
+      use-sync-external-store: 1.5.0(react@18.3.1)
+    optionalDependencies:
+      '@types/react': 18.3.17
+      immer: 9.0.21
+      react: 18.3.1
+
+  zwitch@2.0.4: {}
diff --git a/autogpt_platform/frontend/public/AUTOgpt_Logo_dark.png b/autogpt_platform/frontend/public/AUTOgpt_Logo_dark.png
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diff --git a/autogpt_platform/frontend/public/AUTOgpt_Logo_light.png b/autogpt_platform/frontend/public/AUTOgpt_Logo_light.png
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diff --git a/autogpt_platform/frontend/public/autogpt-logo-dark-bg.png b/autogpt_platform/frontend/public/autogpt-logo-dark-bg.png
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diff --git a/autogpt_platform/frontend/public/autogpt-logo-light-bg.png b/autogpt_platform/frontend/public/autogpt-logo-light-bg.png
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diff --git a/autogpt_platform/frontend/public/google-logo.svg b/autogpt_platform/frontend/public/google-logo.svg
new file mode 100644
index 000000000000..0cf21a27c66a
--- /dev/null
+++ b/autogpt_platform/frontend/public/google-logo.svg
@@ -0,0 +1,6 @@
+<svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg">
+  <path d="M19.99 10.1871C19.99 9.36767 19.9246 8.76973 19.7831 8.14966H10.1943V11.8493H15.8207C15.7062 12.7676 15.0943 14.1618 13.7567 15.0492L13.7398 15.1632L16.7444 17.4429L16.9637 17.4648C18.8825 15.7291 19.99 13.2042 19.99 10.1871Z" fill="#4285F4"/>
+  <path d="M10.1943 19.9313C12.9592 19.9313 15.2429 19.0454 16.9637 17.4648L13.7567 15.0492C12.8697 15.6438 11.7348 16.0244 10.1943 16.0244C7.50242 16.0244 5.25023 14.2886 4.39644 11.9036L4.28823 11.9125L1.17021 14.2775L1.13477 14.3808C2.84508 17.8028 6.1992 19.9313 10.1943 19.9313Z" fill="#34A853"/>
+  <path d="M4.39644 11.9036C4.1758 11.2746 4.04876 10.6013 4.04876 9.90569C4.04876 9.21011 4.1758 8.53684 4.38177 7.90781L4.37563 7.7883L1.20776 5.3801L1.13477 5.41253C0.436264 6.80439 0.0390625 8.35202 0.0390625 9.90569C0.0390625 11.4594 0.436264 13.007 1.13477 14.3808L4.39644 11.9036Z" fill="#FBBC05"/>
+  <path d="M10.1943 3.78682C12.1168 3.78682 13.397 4.66154 14.1236 5.33481L17.0194 2.59768C15.2373 0.953818 12.9592 0 10.1943 0C6.1992 0 2.84508 2.12847 1.13477 5.41253L4.38177 7.90781C5.25023 5.52278 7.50242 3.78682 10.1943 3.78682Z" fill="#EB4335"/>
+</svg> 
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diff --git a/autogpt_platform/frontend/public/gpt_dark_RGB.svg b/autogpt_platform/frontend/public/gpt_dark_RGB.svg
new file mode 100644
index 000000000000..ad521d7ddfde
--- /dev/null
+++ b/autogpt_platform/frontend/public/gpt_dark_RGB.svg
@@ -0,0 +1,67 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 27.8.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="AUTOgpt_logo" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px"
+	 y="0px" viewBox="0 0 2000 2000" style="enable-background:new 0 0 2000 2000;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:url(#SVGID_1_);}
+	.st1{fill:url(#SVGID_00000035521710159047349970000013067780781047948184_);}
+	.st2{fill:url(#SVGID_00000151539662336123527000000001111225930080654741_);}
+	.st3{fill:url(#SVGID_00000173879856226243399160000002461592630409682563_);}
+	.st4{fill:url(#SVGID_00000048473209507965140620000018306312736405929911_);}
+	.st5{fill:#669CF6;}
+</style>
+<g>
+	
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+		<stop  offset="0" style="stop-color:#000030"/>
+		<stop  offset="1" style="stop-color:#9900FF"/>
+	</linearGradient>
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diff --git a/autogpt_platform/frontend/public/gtag.js b/autogpt_platform/frontend/public/gtag.js
new file mode 100644
index 000000000000..be2be34b85ae
--- /dev/null
+++ b/autogpt_platform/frontend/public/gtag.js
@@ -0,0 +1,835 @@
+/* eslint-disable */
+/* tslint:disable */
+
+// Copyright 2012 Google Inc. All rights reserved.
+
+(function () {
+
+  var data = {
+    "resource": {
+      "version": "1",
+
+      "macros": [],
+      "tags": [],
+      "predicates": [],
+      "rules": []
+    },
+    "runtime": [
+    ]
+
+    , "blob": { "1": "1" }
+
+
+
+
+
+
+
+
+  };
+
+
+
+
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+    for (var b = ["object" == typeof globalThis && globalThis, a, "object" == typeof window && window, "object" == typeof self && self, "object" == typeof global && global], c = 0; c < b.length; ++c) { var d = b[c]; if (d && d.Math == Math) return d } throw Error("Cannot find global object");
+  }, ja = ia(this), ka = function (a, b) { if (b) a: { for (var c = ja, d = a.split("."), e = 0; e < d.length - 1; e++) { var f = d[e]; if (!(f in c)) break a; c = c[f] } var h = d[d.length - 1], l = c[h], m = b(l); m != l && m != null && fa(c, h, { configurable: !0, writable: !0, value: m }) } };
+  ka("Symbol", function (a) { if (a) return a; var b = function (f, h) { this.F = f; fa(this, "description", { configurable: !0, writable: !0, value: h }) }; b.prototype.toString = function () { return this.F }; var c = "jscomp_symbol_" + (Math.random() * 1E9 >>> 0) + "_", d = 0, e = function (f) { if (this instanceof e) throw new TypeError("Symbol is not a constructor"); return new b(c + (f || "") + "_" + d++, f) }; return e }); var la = typeof Object.create == "function" ? Object.create : function (a) { var b = function () { }; b.prototype = a; return new b }, ma;
+  if (typeof Object.setPrototypeOf == "function") ma = Object.setPrototypeOf; else { var na; a: { var oa = { a: !0 }, pa = {}; try { pa.__proto__ = oa; na = pa.a; break a } catch (a) { } na = !1 } ma = na ? function (a, b) { a.__proto__ = b; if (a.__proto__ !== b) throw new TypeError(a + " is not extensible"); return a } : null }
+  var qa = ma, ra = function (a, b) { a.prototype = la(b.prototype); a.prototype.constructor = a; if (qa) qa(a, b); else for (var c in b) if (c != "prototype") if (Object.defineProperties) { var d = Object.getOwnPropertyDescriptor(b, c); d && Object.defineProperty(a, c, d) } else a[c] = b[c]; a.Go = b.prototype }, g = function (a) { var b = typeof Symbol != "undefined" && Symbol.iterator && a[Symbol.iterator]; if (b) return b.call(a); if (typeof a.length == "number") return { next: ba(a) }; throw Error(String(a) + " is not an iterable or ArrayLike"); }, sa = function (a) {
+    for (var b,
+      c = []; !(b = a.next()).done;)c.push(b.value); return c
+  }, ta = function (a) { return a instanceof Array ? a : sa(g(a)) }, ua = typeof Object.assign == "function" ? Object.assign : function (a, b) { for (var c = 1; c < arguments.length; c++) { var d = arguments[c]; if (d) for (var e in d) Object.prototype.hasOwnProperty.call(d, e) && (a[e] = d[e]) } return a }; ka("Object.assign", function (a) { return a || ua }); var va = function () { for (var a = Number(this), b = [], c = a; c < arguments.length; c++)b[c - a] = arguments[c]; return b };/*
+  
+   Copyright The Closure Library Authors.
+   SPDX-License-Identifier: Apache-2.0
+  */
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+  function Fa(a) { function b(m) { for (; d < a.length;) { var n = a.charAt(d++), p = Da[n]; if (p != null) return p; if (!/^[\s\xa0]*$/.test(n)) throw Error("Unknown base64 encoding at char: " + n); } return m } Ba = Ba || Ca(); Da = Da || Aa(); for (var c = "", d = 0; ;) { var e = b(-1), f = b(0), h = b(64), l = b(64); if (l === 64 && e === -1) return c; c += String.fromCharCode(e << 2 | f >> 4); h !== 64 && (c += String.fromCharCode(f << 4 & 240 | h >> 2), l !== 64 && (c += String.fromCharCode(h << 6 & 192 | l))) } }; var Ha = {}; function Ia(a, b) { Ha[a] = Ha[a] || []; Ha[a][b] = !0 } function Ja(a) { var b = Ha[a]; if (!b || b.length === 0) return ""; for (var c = [], d = 0, e = 0; e < b.length; e++)e % 8 === 0 && e > 0 && (c.push(String.fromCharCode(d)), d = 0), b[e] && (d |= 1 << e % 8); d > 0 && c.push(String.fromCharCode(d)); return Ea(c.join("")).replace(/\.+$/, "") } function Ka() { for (var a = [], b = Ha.fdr || [], c = 0; c < b.length; c++)b[c] && a.push(c); return a.length > 0 ? a : void 0 }; function Na() { } function Oa(a) { return typeof a === "function" } function Pa(a) { return typeof a === "string" } function Qa(a) { return typeof a === "number" && !isNaN(a) } function Ra(a) { return Array.isArray(a) ? a : [a] } function Sa(a, b) { if (a && Array.isArray(a)) for (var c = 0; c < a.length; c++)if (a[c] && b(a[c])) return a[c] } function Ta(a, b) { if (!Qa(a) || !Qa(b) || a > b) a = 0, b = 2147483647; return Math.floor(Math.random() * (b - a + 1) + a) }
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+  function pb(a) { for (var b = 0; b < 3; ++b)try { var c = decodeURIComponent(a).replace(/\+/g, " "); if (c === a) break; a = c } catch (d) { return "" } return a };/*
+  
+   Copyright Google LLC
+   SPDX-License-Identifier: Apache-2.0
+  */
+  var qb = globalThis.trustedTypes, rb; function sb() { var a = null; if (!qb) return a; try { var b = function (c) { return c }; a = qb.createPolicy("goog#html", { createHTML: b, createScript: b, createScriptURL: b }) } catch (c) { } return a } function tb() { rb === void 0 && (rb = sb()); return rb }; var ub = function (a) { this.F = a }; ub.prototype.toString = function () { return this.F + "" }; var vb = /^\s*(?!javascript:)(?:[\w+.-]+:|[^:/?#]*(?:[/?#]|$))/i; function wb(a, b) { throw Error(b === void 0 ? "unexpected value " + a + "!" : b); }; var xb = function (a) { this.F = a }; xb.prototype.toString = function () { return this.F + "" }; var yb = Array.prototype.indexOf ? function (a, b) { return Array.prototype.indexOf.call(a, b, void 0) } : function (a, b) { if (typeof a === "string") return typeof b !== "string" || b.length != 1 ? -1 : a.indexOf(b, 0); for (var c = 0; c < a.length; c++)if (c in a && a[c] === b) return c; return -1 }; function zb(a) { return a === null ? "null" : a === void 0 ? "undefined" : a }; var k = window, x = document, Ab = navigator; function Bb() { var a; try { a = Ab.serviceWorker } catch (b) { return } return a } var Cb = x.currentScript, Db = Cb && Cb.src; function Eb(a, b) { var c = k[a]; k[a] = c === void 0 ? b : c; return k[a] } function Fb(a) { return (Ab.userAgent || "").indexOf(a) !== -1 } function Gb() { return Fb("Firefox") || Fb("FxiOS") } function Hb() { return (Fb("GSA") || Fb("GoogleApp")) && (Fb("iPhone") || Fb("iPad")) } function Ib() { return Fb("Edg/") || Fb("EdgA/") || Fb("EdgiOS/") }
+  var Jb = { async: 1, nonce: 1, onerror: 1, onload: 1, src: 1, type: 1 }, Kb = { onload: 1, src: 1, width: 1, height: 1, style: 1 }; function Lb(a, b, c) { b && Wa(b, function (d, e) { d = d.toLowerCase(); c.hasOwnProperty(d) || a.setAttribute(d, e) }) }
+  function Mb(a, b, c, d, e) {
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+        x.getElementsByTagName("script")[0] || x.body || x.head; w.parentNode.insertBefore(f, w)
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+      var l =
+        Vb(a, b); l ? d == null || d() : e == null || e(); return l
+    } Zb(a, d, e); return !0
+  } function Yb() { return typeof k.fetch === "function" } function $b(a, b) { var c = a[b]; c && typeof c.animVal === "string" && (c = c.animVal); return c } function ac() { var a = k.performance; if (a && Oa(a.now)) return a.now() }
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+  var Qb = function (a, b, c, d) { var e = new Image(1, 1); Lb(e, d, {}); e.onload = function () { e.onload = null; b && b() }; e.onerror = function () { e.onerror = null; c && c() }; e.src = a; return e }, Zb = Ub;/*
+   jQuery (c) 2005, 2012 jQuery Foundation, Inc. jquery.org/license.
+  */
+  var ec = /\[object (Boolean|Number|String|Function|Array|Date|RegExp)\]/, fc = function (a) { if (a == null) return String(a); var b = ec.exec(Object.prototype.toString.call(Object(a))); return b ? b[1].toLowerCase() : "object" }, gc = function (a, b) { return Object.prototype.hasOwnProperty.call(Object(a), b) }, hc = function (a) {
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+      gc(a, b)
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+      tp: a("respected_consent_types"), wk: a("setup_tags"), wg: a("tag_id"), Ck: a("teardown_tags")
+    }
+  }(); var Kc; var Lc = [], Mc = [], Nc = [], Oc = [], Pc = [], Qc, Rc, Sc; function Tc(a) { Sc = Sc || a }
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+  function Vc(a) { } var Wc, Xc = [], Yc = []; function Zc(a, b, c) { try { return Rc($c(a, b, c)) } catch (d) { JSON.stringify(a) } return 2 }
+  function ad(a) { var b = a[oc.Fa]; if (!b) throw Error("Error: No function name given for function call."); return !!Qc[b] }
+  var $c = function (a, b, c) { c = c || []; var d = {}, e; for (e in a) a.hasOwnProperty(e) && (d[e] = bd(a[e], b, c)); return d }, bd = function (a, b, c) {
+    if (Array.isArray(a)) {
+      var d; switch (a[0]) {
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+            event: b, index: f, type: 2,
+            name: l
+          }); Wc && (d = Wc.gn(d, m))
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+      }
+    } return a
+  }, cd = function (a, b) {
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+      e && Xc.indexOf(c) !== -1, h = {}, l; for (l in a) a.hasOwnProperty(l) && hb(l, "vtp_") && e && (h[l] = a[l]); e && d && d.cachedModelValues && (h.vtp_gtmCachedValues = d.cachedModelValues); if (b) { if (b.name == null) { var m; a: { var n = b.type, p = b.index; if (p == null) m = ""; else { var q; switch (n) { case 2: q = Lc[p]; break; case 1: q = Oc[p]; break; default: m = ""; break a }var r = q && q[oc.Ch]; m = r ? String(r) : "" } } b.name = m } e && (h.vtp_gtmEntityIndex = b.index, h.vtp_gtmEntityName = b.name) } var u, v, t; if (f && Yc.indexOf(c) === -1) {
+        Yc.push(c); var w = cb(); u = e(h); var y = cb() - w, z =
+          cb(); v = Kc(c, b); t = y - (cb() - z)
+      } else if (e && (u = e(h)), !e || f) v = Kc(c, b); if (f && d) { d.reportMacroDiscrepancy(d.id, c, void 0, !0); var C; a: { var B = u; if (B == void 0 || Array.isArray(B) || hc(B)) C = !0; else { switch (typeof B) { case "boolean": case "number": case "string": case "function": C = !0; break a }C = !1 } } C ? (Array.isArray(u) ? Array.isArray(v) : hc(u) ? hc(v) : typeof u === "function" ? typeof v === "function" : u === v) || d.reportMacroDiscrepancy(d.id, c) : u !== v && d.reportMacroDiscrepancy(d.id, c); t !== void 0 && d.reportMacroDiscrepancy(d.id, c, t) } return e ?
+        u : v
+  }; var dd = function (a, b, c) { var d; d = Error.call(this, c); this.message = d.message; "stack" in d && (this.stack = d.stack); this.permissionId = a; this.parameters = b; this.name = "PermissionError" }; ra(dd, Error); dd.prototype.getMessage = function () { return this.message }; function ed(a) { function b(r) { for (var u = 0; u < r.length; u++)d[r[u]] = !0 } for (var c = [], d = [], e = fd(a), f = 0; f < Mc.length; f++) { var h = Mc[f], l = gd(h, e); if (l) { for (var m = h.add || [], n = 0; n < m.length; n++)c[m[n]] = !0; b(h.block || []) } else l === null && b(h.block || []); } for (var p = [], q = 0; q < Oc.length; q++)c[q] && !d[q] && (p[q] = !0); return p }
+  function gd(a, b) { for (var c = a["if"] || [], d = 0; d < c.length; d++) { var e = b(c[d]); if (e === 0) return !1; if (e === 2) return null } for (var f = a.unless || [], h = 0; h < f.length; h++) { var l = b(f[h]); if (l === 2) return null; if (l === 1) return !1 } return !0 } function fd(a) { var b = []; return function (c) { b[c] === void 0 && (b[c] = Zc(Nc[c], a)); return b[c] } }; function hd(a, b) { b[oc.Si] && typeof a === "string" && (a = b[oc.Si] === 1 ? a.toLowerCase() : a.toUpperCase()); b.hasOwnProperty(oc.Ui) && a === null && (a = b[oc.Ui]); b.hasOwnProperty(oc.Wi) && a === void 0 && (a = b[oc.Wi]); b.hasOwnProperty(oc.Vi) && a === !0 && (a = b[oc.Vi]); b.hasOwnProperty(oc.Ti) && a === !1 && (a = b[oc.Ti]); return a }; function id(a, b, c, d) { if (a) for (var e = 0; e < a.length; e++) { var f = void 0, h = "A policy function denied the permission request"; try { f = a[e](b, c, d), h += "." } catch (l) { h = typeof l === "string" ? h + (": " + l) : l instanceof Error ? h + (": " + l.message) : h + "." } if (!f) throw new dd(c, d, h); } } function jd(a, b) { var c = (void 0).Jp(); return function (d) { var e = va.apply(1, arguments); if (d) { var f = c.F(d), h = c.F("all"); if (f || h) { var l = b.apply(void 0, [d].concat(ta(e))); id(f, a, d, l); id(h, a, d, l) } } } }; function od(a, b) { if (a === "") return b; var c = Number(a); return isNaN(c) ? b : c }; var pd = [], qd = {}; function rd(a) { return pd[a] === void 0 ? !1 : pd[a] }; var sd = []; function td(a) { switch (a) { case 1: return 0; case 38: return 13; case 50: return 10; case 51: return 11; case 53: return 1; case 54: return 2; case 52: return 7; case 75: return 3; case 103: return 14; case 114: return 12; case 115: return 4; case 116: return 5; case 135: return 9; case 136: return 6 } } function ud(a, b) { sd[a] = b; var c = td(a); c !== void 0 && (pd[c] = b) } function D(a) { ud(a, !0) } D(39); D(34); D(35); D(36);
+  D(56); D(145); D(18);
+  D(153); D(144); D(74); D(120);
+  D(58); D(5); D(111);
+  D(139); D(87); D(92); D(117);
+  D(159); D(132); D(20);
+  D(72); D(113); D(154);
+  D(116); ud(23, !1), D(24);
+  qd[1] = od('1', 6E4); qd[3] = od('10', 1); qd[2] = od('', 50); D(29);
+  vd(26, 25); D(9);
+  D(91); D(140); D(123);
+
+  D(157); D(158); D(71);
+  D(136); D(127);
+  D(27); D(69);
+  D(135); D(51); D(50); D(95);
+  D(86);
+  D(112); D(63); D(152);
+  D(101); D(134); D(115); D(96);
+  D(31); D(22); D(14); D(151); D(97); D(15);
+  D(99); D(106); D(124); D(12);
+  D(76);
+  D(77); D(81); D(79); D(28);
+  D(80); D(90);
+  D(118);
+  D(13);
+  function F(a) { return !!sd[a] } function vd(a, b) { for (var c = !1, d = !1, e = 0; c === d;)if (c = ((Math.random() * 4294967296 | 0) & 1) === 0, d = ((Math.random() * 4294967296 | 0) & 1) === 0, e++, e > 30) return; c ? D(b) : D(a) }; var xd = {}, yd = (xd.uaa = !0, xd.uab = !0, xd.uafvl = !0, xd.uamb = !0, xd.uam = !0, xd.uap = !0, xd.uapv = !0, xd.uaw = !0, xd); var Hd = ["matches", "webkitMatchesSelector", "mozMatchesSelector", "msMatchesSelector", "oMatchesSelector"], Id = new Va; var G = {
+    m: {
+      Ea: "ad_personalization", T: "ad_storage", U: "ad_user_data", Z: "analytics_storage", Md: "region", aa: "consent_updated", Ng: "wait_for_update", zl: "app_remove", Al: "app_store_refund", Bl: "app_store_subscription_cancel", Cl: "app_store_subscription_convert", Dl: "app_store_subscription_renew", El: "consent_update", bj: "add_payment_info", cj: "add_shipping_info", Yc: "add_to_cart", Zc: "remove_from_cart", dj: "view_cart", rc: "begin_checkout", bd: "select_item", Gb: "view_item_list", Zb: "select_promotion", Hb: "view_promotion",
+      ab: "purchase", dd: "refund", lb: "view_item", ej: "add_to_wishlist", Fl: "exception", Gl: "first_open", Hl: "first_visit", ma: "gtag.config", qb: "gtag.get", Il: "in_app_purchase", sc: "page_view", Jl: "screen_view", Kl: "session_start", Ll: "source_update", Ml: "timing_complete", Nl: "track_social", ed: "user_engagement", Ol: "user_id_update", Pd: "gclid_link_decoration_source", Qd: "gclid_storage_source", Ib: "gclgb", cb: "gclid", fj: "gclid_len", fd: "gclgs", gd: "gcllp", hd: "gclst", oa: "ads_data_redaction", Rd: "gad_source", Sd: "gad_source_src",
+      uc: "gclid_url", gj: "gclsrc", Td: "gbraid", jd: "wbraid", ya: "allow_ad_personalization_signals", wf: "allow_custom_scripts", Ud: "allow_direct_google_requests", xf: "allow_display_features", yf: "allow_enhanced_conversions", rb: "allow_google_signals", Oa: "allow_interest_groups", Pl: "app_id", Ql: "app_installer_id", Rl: "app_name", Sl: "app_version", wb: "auid", Tl: "auto_detection_enabled", vc: "aw_remarketing", Vg: "aw_remarketing_only", zf: "discount", Af: "aw_feed_country", Bf: "aw_feed_language", na: "items", Cf: "aw_merchant_id", ij: "aw_basket_type",
+      Vd: "campaign_content", Wd: "campaign_id", Xd: "campaign_medium", Yd: "campaign_name", Zd: "campaign", ae: "campaign_source", be: "campaign_term", xb: "client_id", jj: "rnd", Wg: "consent_update_type", Ul: "content_group", Vl: "content_type", yb: "conversion_cookie_prefix", ce: "conversion_id", Ja: "conversion_linker", Xg: "conversion_linker_disabled", wc: "conversion_api", Df: "cookie_deprecation", eb: "cookie_domain", fb: "cookie_expires", mb: "cookie_flags", xc: "cookie_name", zb: "cookie_path", Xa: "cookie_prefix", ac: "cookie_update", kd: "country",
+      Pa: "currency", Yg: "customer_buyer_stage", de: "customer_lifetime_value", Zg: "customer_loyalty", ah: "customer_ltv_bucket", ee: "custom_map", bh: "gcldc", yc: "dclid", Wl: "debug_mode", sa: "developer_id", Xl: "disable_merchant_reported_purchases", zc: "dc_custom_params", Yl: "dc_natural_search", kj: "dynamic_event_settings", lj: "affiliation", Ef: "checkout_option", eh: "checkout_step", mj: "coupon", fe: "item_list_name", fh: "list_name", Zl: "promotions", he: "shipping", gh: "tax", Ff: "engagement_time_msec", Gf: "enhanced_client_id", Hf: "enhanced_conversions",
+      nj: "enhanced_conversions_automatic_settings", If: "estimated_delivery_date", hh: "euid_logged_in_state", ie: "event_callback", am: "event_category", Kb: "event_developer_id_string", bm: "event_label", Ac: "event", Jf: "event_settings", Kf: "event_timeout", dm: "description", fm: "fatal", gm: "experiments", ih: "firebase_id", ld: "first_party_collection", Lf: "_x_20", Lb: "_x_19", oj: "fledge_drop_reason", pj: "fledge", qj: "flight_error_code", rj: "flight_error_message", sj: "fl_activity_category", tj: "fl_activity_group", jh: "fl_advertiser_id",
+      uj: "fl_ar_dedupe", je: "match_id", vj: "fl_random_number", wj: "tran", xj: "u", Mf: "gac_gclid", md: "gac_wbraid", yj: "gac_wbraid_multiple_conversions", zj: "ga_restrict_domain", Aj: "ga_temp_client_id", hm: "ga_temp_ecid", nd: "gdpr_applies", Bj: "geo_granularity", bc: "value_callback", Mb: "value_key", Ob: "google_analysis_params", od: "_google_ng", pd: "google_signals", Cj: "google_tld", Nf: "gpp_sid", Of: "gpp_string", Pf: "groups", Dj: "gsa_experiment_id", ke: "gtag_event_feature_usage", Ej: "gtm_up", fc: "iframe_state", me: "ignore_referrer",
+      kh: "internal_traffic_results", hc: "is_legacy_converted", ic: "is_legacy_loaded", Qf: "is_passthrough", Bc: "_lps", nb: "language", Rf: "legacy_developer_id_string", Ka: "linker", qd: "accept_incoming", Pb: "decorate_forms", da: "domains", jc: "url_position", Sf: "merchant_feed_label", Tf: "merchant_feed_language", Uf: "merchant_id", Fj: "method", im: "name", Gj: "navigation_type", ne: "new_customer", Vf: "non_interaction", jm: "optimize_id", Hj: "page_hostname", oe: "page_path", Qa: "page_referrer", sb: "page_title", Ij: "passengers", Jj: "phone_conversion_callback",
+      km: "phone_conversion_country_code", Kj: "phone_conversion_css_class", lm: "phone_conversion_ids", Lj: "phone_conversion_number", Mj: "phone_conversion_options", mm: "_platinum_request_status", lh: "_protected_audience_enabled", pe: "quantity", Wf: "redact_device_info", mh: "referral_exclusion_definition", Wo: "_request_start_time", Ab: "restricted_data_processing", om: "retoken", qm: "sample_rate", nh: "screen_name", kc: "screen_resolution", Nj: "_script_source", rm: "search_term", hb: "send_page_view", Cc: "send_to", Dc: "server_container_url",
+      qe: "session_duration", Xf: "session_engaged", oh: "session_engaged_time", Qb: "session_id", Yf: "session_number", se: "_shared_user_id", te: "delivery_postal_code", Xo: "_tag_firing_delay", Yo: "_tag_firing_time", Zo: "temporary_client_id", ph: "_timezone", qh: "topmost_url", sm: "tracking_id", rh: "traffic_type", Ra: "transaction_id", Rb: "transport_url", Oj: "trip_type", Ec: "update", tb: "url_passthrough", Pj: "uptgs", ue: "_user_agent_architecture", ve: "_user_agent_bitness", we: "_user_agent_full_version_list", xe: "_user_agent_mobile",
+      ye: "_user_agent_model", ze: "_user_agent_platform", Ae: "_user_agent_platform_version", Be: "_user_agent_wow64", Sa: "user_data", sh: "user_data_auto_latency", th: "user_data_auto_meta", uh: "user_data_auto_multi", vh: "user_data_auto_selectors", wh: "user_data_auto_status", Bb: "user_data_mode", Zf: "user_data_settings", La: "user_id", Cb: "user_properties", Qj: "_user_region", cg: "us_privacy_string", za: "value", Rj: "wbraid_multiple_conversions", sd: "_fpm_parameters", Ah: "_host_name", bk: "_in_page_command", dk: "_ip_override", gk: "_is_passthrough_cid",
+      Sb: "non_personalized_ads", Lh: "_sst_parameters", Jb: "conversion_label", xa: "page_location", Nb: "global_developer_id_string", rd: "tc_privacy_string"
+    }
+  }; var Pd = {}, Qd = Object.freeze((Pd[G.m.ya] = 1, Pd[G.m.xf] = 1, Pd[G.m.yf] = 1, Pd[G.m.rb] = 1, Pd[G.m.na] = 1, Pd[G.m.eb] = 1, Pd[G.m.fb] = 1, Pd[G.m.mb] = 1, Pd[G.m.xc] = 1, Pd[G.m.zb] = 1, Pd[G.m.Xa] = 1, Pd[G.m.ac] = 1, Pd[G.m.ee] = 1, Pd[G.m.sa] = 1, Pd[G.m.kj] = 1, Pd[G.m.ie] = 1, Pd[G.m.Jf] = 1, Pd[G.m.Kf] = 1, Pd[G.m.ld] = 1, Pd[G.m.zj] = 1, Pd[G.m.Ob] = 1, Pd[G.m.pd] = 1, Pd[G.m.Cj] = 1, Pd[G.m.Pf] = 1, Pd[G.m.kh] = 1, Pd[G.m.hc] = 1, Pd[G.m.ic] = 1, Pd[G.m.Ka] = 1, Pd[G.m.mh] = 1, Pd[G.m.Ab] = 1, Pd[G.m.hb] = 1, Pd[G.m.Cc] = 1, Pd[G.m.Dc] = 1, Pd[G.m.qe] = 1, Pd[G.m.oh] = 1, Pd[G.m.te] = 1, Pd[G.m.Rb] =
+    1, Pd[G.m.Ec] = 1, Pd[G.m.Zf] = 1, Pd[G.m.Cb] = 1, Pd[G.m.Lh] = 1, Pd)); Object.freeze([G.m.xa, G.m.Qa, G.m.sb, G.m.nb, G.m.nh, G.m.La, G.m.ih, G.m.Ul]);
+  var Rd = {}, Sd = Object.freeze((Rd[G.m.zl] = 1, Rd[G.m.Al] = 1, Rd[G.m.Bl] = 1, Rd[G.m.Cl] = 1, Rd[G.m.Dl] = 1, Rd[G.m.Gl] = 1, Rd[G.m.Hl] = 1, Rd[G.m.Il] = 1, Rd[G.m.Kl] = 1, Rd[G.m.ed] = 1, Rd)), Vd = {}, Wd = Object.freeze((Vd[G.m.bj] = 1, Vd[G.m.cj] = 1, Vd[G.m.Yc] = 1, Vd[G.m.Zc] = 1, Vd[G.m.dj] = 1, Vd[G.m.rc] = 1, Vd[G.m.bd] = 1, Vd[G.m.Gb] = 1, Vd[G.m.Zb] = 1, Vd[G.m.Hb] = 1, Vd[G.m.ab] = 1, Vd[G.m.dd] = 1, Vd[G.m.lb] = 1, Vd[G.m.ej] = 1, Vd)), Xd = Object.freeze([G.m.ya, G.m.Ud, G.m.rb, G.m.ac, G.m.ld, G.m.me, G.m.hb, G.m.Ec]), Yd = Object.freeze([].concat(ta(Xd))), Zd = Object.freeze([G.m.fb,
+  G.m.Kf, G.m.qe, G.m.oh, G.m.Ff]), $d = Object.freeze([].concat(ta(Zd))), ae = {}, be = (ae[G.m.T] = "1", ae[G.m.Z] = "2", ae[G.m.U] = "3", ae[G.m.Ea] = "4", ae), ce = {}, de = Object.freeze((ce.search = "s", ce.youtube = "y", ce.playstore = "p", ce.shopping = "h", ce.ads = "a", ce.maps = "m", ce)); Object.freeze(G.m); var ee = {}, fe = (ee[G.m.aa] = "gcu", ee[G.m.Ib] = "gclgb", ee[G.m.cb] = "gclaw", ee[G.m.fj] = "gclid_len", ee[G.m.fd] = "gclgs", ee[G.m.gd] = "gcllp", ee[G.m.hd] = "gclst", ee[G.m.wb] = "auid", ee[G.m.zf] = "dscnt", ee[G.m.Af] = "fcntr", ee[G.m.Bf] = "flng", ee[G.m.Cf] = "mid", ee[G.m.ij] = "bttype", ee[G.m.xb] = "gacid", ee[G.m.Jb] = "label", ee[G.m.wc] = "capi", ee[G.m.Df] = "pscdl", ee[G.m.Pa] = "currency_code", ee[G.m.Yg] = "clobs", ee[G.m.de] = "vdltv", ee[G.m.Zg] = "clolo", ee[G.m.ah] = "clolb", ee[G.m.Wl] = "_dbg", ee[G.m.If] = "oedeld", ee[G.m.Kb] = "edid", ee[G.m.oj] =
+    "fdr", ee[G.m.pj] = "fledge", ee[G.m.Mf] = "gac", ee[G.m.md] = "gacgb", ee[G.m.yj] = "gacmcov", ee[G.m.nd] = "gdpr", ee[G.m.Nb] = "gdid", ee[G.m.od] = "_ng", ee[G.m.Nf] = "gpp_sid", ee[G.m.Of] = "gpp", ee[G.m.Dj] = "gsaexp", ee[G.m.ke] = "_tu", ee[G.m.fc] = "frm", ee[G.m.Qf] = "gtm_up", ee[G.m.Bc] = "lps", ee[G.m.Rf] = "did", ee[G.m.Sf] = "fcntr", ee[G.m.Tf] = "flng", ee[G.m.Uf] = "mid", ee[G.m.ne] = void 0, ee[G.m.sb] = "tiba", ee[G.m.Ab] = "rdp", ee[G.m.Qb] = "ecsid", ee[G.m.se] = "ga_uid", ee[G.m.te] = "delopc", ee[G.m.rd] = "gdpr_consent", ee[G.m.Ra] = "oid", ee[G.m.Pj] =
+    "uptgs", ee[G.m.ue] = "uaa", ee[G.m.ve] = "uab", ee[G.m.we] = "uafvl", ee[G.m.xe] = "uamb", ee[G.m.ye] = "uam", ee[G.m.ze] = "uap", ee[G.m.Ae] = "uapv", ee[G.m.Be] = "uaw", ee[G.m.sh] = "ec_lat", ee[G.m.th] = "ec_meta", ee[G.m.uh] = "ec_m", ee[G.m.vh] = "ec_sel", ee[G.m.wh] = "ec_s", ee[G.m.Bb] = "ec_mode", ee[G.m.La] = "userId", ee[G.m.cg] = "us_privacy", ee[G.m.za] = "value", ee[G.m.Rj] = "mcov", ee[G.m.Ah] = "hn", ee[G.m.bk] = "gtm_ee", ee[G.m.Sb] = "npa", ee[G.m.ce] = null, ee[G.m.kc] = null, ee[G.m.nb] = null, ee[G.m.na] = null, ee[G.m.xa] = null, ee[G.m.Qa] = null, ee[G.m.qh] =
+    null, ee[G.m.sd] = null, ee[G.m.Pd] = null, ee[G.m.Qd] = null, ee[G.m.Ob] = null, ee); function ge(a, b) { if (a) { var c = a.split("x"); c.length === 2 && (he(b, "u_w", c[0]), he(b, "u_h", c[1])) } }
+  function ie(a) { var b = je; b = b === void 0 ? ke : b; var c; var d = b; if (a && a.length) { for (var e = [], f = 0; f < a.length; ++f) { var h = a[f]; h && e.push({ item_id: d(h), quantity: h.quantity, value: h.price, start_date: h.start_date, end_date: h.end_date }) } c = e } else c = []; var l; var m = c; if (m) { for (var n = [], p = 0; p < m.length; p++) { var q = m[p], r = []; q && (r.push(le(q.value)), r.push(le(q.quantity)), r.push(le(q.item_id)), r.push(le(q.start_date)), r.push(le(q.end_date)), n.push("(" + r.join("*") + ")")) } l = n.length > 0 ? n.join("") : "" } else l = ""; return l }
+  function ke(a) { return me(a.item_id, a.id, a.item_name) } function me() { for (var a = g(va.apply(0, arguments)), b = a.next(); !b.done; b = a.next()) { var c = b.value; if (c !== null && c !== void 0) return c } } function ne(a) { if (a && a.length) { for (var b = [], c = 0; c < a.length; ++c) { var d = a[c]; d && d.estimated_delivery_date ? b.push("" + d.estimated_delivery_date) : b.push("") } return b.join(",") } } function he(a, b, c) { c === void 0 || c === null || c === "" && !yd[b] || (a[b] = c) } function le(a) { return typeof a !== "number" && typeof a !== "string" ? "" : a.toString() }; var H = { J: { Mi: "call_conversion", V: "conversion", De: "ga_conversion", Hh: "landing_page", Aa: "page_view", ia: "remarketing", Ma: "user_data_lead", qa: "user_data_web" } }; function qe(a) { return re ? x.querySelectorAll(a) : null }
+  function se(a, b) { if (!re) return null; if (Element.prototype.closest) try { return a.closest(b) } catch (e) { return null } var c = Element.prototype.matches || Element.prototype.webkitMatchesSelector || Element.prototype.mozMatchesSelector || Element.prototype.msMatchesSelector || Element.prototype.oMatchesSelector, d = a; if (!x.documentElement.contains(d)) return null; do { try { if (c.call(d, b)) return d } catch (e) { break } d = d.parentElement || d.parentNode } while (d !== null && d.nodeType === 1); return null } var te = !1;
+  if (x.querySelectorAll) try { var ue = x.querySelectorAll(":root"); ue && ue.length == 1 && ue[0] == x.documentElement && (te = !0) } catch (a) { } var re = te; function ve(a) { switch (a) { case 0: break; case 9: return "e4"; case 6: return "e5"; case 14: return "e6"; default: return "e7" } }; function we() { this.blockSize = -1 }; function ye(a, b) { this.blockSize = -1; this.blockSize = 64; this.N = xa.Uint8Array ? new Uint8Array(this.blockSize) : Array(this.blockSize); this.O = this.K = 0; this.F = []; this.ba = a; this.P = b; this.fa = xa.Int32Array ? new Int32Array(64) : Array(64); ze === void 0 && (xa.Int32Array ? ze = new Int32Array(Ae) : ze = Ae); this.reset() } ya(ye, we); for (var Be = [], Ce = 0; Ce < 63; Ce++)Be[Ce] = 0; var De = [].concat(128, Be);
+  ye.prototype.reset = function () { this.O = this.K = 0; var a; if (xa.Int32Array) a = new Int32Array(this.P); else { var b = this.P, c = b.length; if (c > 0) { for (var d = Array(c), e = 0; e < c; e++)d[e] = b[e]; a = d } else a = [] } this.F = a };
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+  };
+  ye.prototype.update = function (a, b) {
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+    } this.K = d; this.O += b
+  };
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+  function Je(a) { if (a === "" || a === "e0") return Promise.resolve(a); var b; if ((b = k.crypto) == null ? 0 : b.subtle) { if (He.test(a)) return Promise.resolve(a); try { var c = Ie(a); return k.crypto.subtle.digest("SHA-256", c).then(function (d) { return Ke(d) }).catch(function () { return "e2" }) } catch (d) { return Promise.resolve("e2") } } else return Promise.resolve("e1") }
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+  function Bg(a, b, c, d, e) {
+    var f, h = Ag(a.protocol); b && (b = String(b).toLowerCase()); switch (b) {
+      case "url_no_fragment": f = Cg(a); break; case "protocol": f = h; break; case "host": f = a.hostname.replace(vg, "").toLowerCase(); if (c) { var l = /^www\d*\./.exec(f); l && l[0] && (f = f.substring(l[0].length)) } break; case "port": f = String(Number(a.port) || (h === "http" ? 80 : h === "https" ? 443 : "")); break; case "path": a.pathname || a.hostname || Ia("TAGGING", 1); f = a.pathname.substring(0, 1) === "/" ? a.pathname : "/" + a.pathname; var m = f.split("/"); (d || []).indexOf(m[m.length -
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+    }return f
+  } function Ag(a) { return a ? a.replace(":", "").toLowerCase() : "" } function Cg(a) { var b = ""; if (a && a.href) { var c = a.href.indexOf("#"); b = c < 0 ? a.href : a.href.substring(0, c) } return b } var Dg = {}, Eg = 0;
+  function Fg(a) { var b = Dg[a]; if (!b) { var c = x.createElement("a"); a && (c.href = a); var d = c.pathname; d[0] !== "/" && (a || Ia("TAGGING", 1), d = "/" + d); var e = c.hostname.replace(vg, ""); b = { href: c.href, protocol: c.protocol, host: c.host, hostname: e, pathname: d, search: c.search, hash: c.hash, port: c.port }; Eg < 5 && (Dg[a] = b, Eg++) } return b } function Gg(a, b) { var c = Fg(a); return nb(b, c) }
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+    if (k.top == k) return 0; if (a === void 0 ? 0 : a) {
+      var b = k.location.ancestorOrigins;
+      if (b) return b[b.length - 1] == k.location.origin ? 1 : 2
+    } return gh(k.top) ? 1 : 2
+  }, kh = function (a) { a = a === void 0 ? document : a; return a.createElement("img") }, lh = function () { for (var a = k, b = a; a && a != a.parent;)a = a.parent, gh(a) && (b = a); return b }; function mh(a) { var b; b = b === void 0 ? document : b; var c; return !((c = b.featurePolicy) == null || !c.allowedFeatures().includes(a)) }; function nh() { return mh("join-ad-interest-group") && Oa(Ab.joinAdInterestGroup) }
+  function oh(a, b, c) {
+    var d = qd[3] === void 0 ? 1 : qd[3], e = 'iframe[data-tagging-id="' + b + '"]', f = []; try { if (d === 1) { var h = x.querySelector(e); h && (f = [h]) } else f = Array.from(x.querySelectorAll(e)) } catch (r) { } var l; a: { try { l = x.querySelectorAll('iframe[allow="join-ad-interest-group"][data-tagging-id*="-"]'); break a } catch (r) { } l = void 0 } var m = l, n = ((m == null ? void 0 : m.length) || 0) >= (qd[2] === void 0 ? 50 : qd[2]), p; if (p = f.length >= 1) {
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+      var y = b[t],
+        z = b[t + 1], C = b[t + 2], B = r[y >> 2], E = r[(y & 3) << 4 | z >> 4], K = r[(z & 15) << 2 | C >> 6], M = r[C & 63]; u[w++] = "" + B + E + K + M
+    } var N = 0, U = v; switch (b.length - t) { case 2: N = b[t + 1], U = r[(N & 15) << 2] || v; case 1: var I = b[t]; u[w] = "" + r[I >> 2] + r[(I & 3) << 4 | N >> 4] + U + v }return u.join("")
+  }; function vh(a, b, c, d, e, f) { var h = dh(c, "fmt"); if (d) { var l = dh(c, "random"), m = dh(c, "label") || ""; if (!l) return !1; var n = uh(decodeURIComponent(m.replace(/\+/g, " ")) + ":" + decodeURIComponent(l.replace(/\+/g, " "))); if (!rh(a, n, d)) return !1 } h && Number(h) !== 4 && (c = fh(c, "rfmt", h)); var p = fh(c, "fmt", 4); Mb(p, function () { a.google_noFurtherRedirects && d && (a.google_noFurtherRedirects = null, d()) }, e, f, b.getElementsByTagName("script")[0].parentElement || void 0); return !0 }; var wh = {}, xh = (wh[1] = {}, wh[2] = {}, wh[3] = {}, wh[4] = {}, wh); function yh(a, b, c) { var d = zh(b, c); if (d) { var e = xh[b][d]; e || (e = xh[b][d] = []); e.push(Object.assign({}, a)) } } function Ah(a, b) { var c = zh(a, b); if (c) { var d = xh[a][c]; d && (xh[a][c] = d.filter(function (e) { return !e.fl })) } } function Bh(a) { switch (a) { case "script-src": case "script-src-elem": return 1; case "frame-src": return 4; case "connect-src": return 2; case "img-src": return 3 } }
+  function zh(a, b) { var c = b; if (b[0] === "/") { var d; c = ((d = k.location) == null ? void 0 : d.origin) + b } try { var e = new URL(c); return a === 4 ? e.origin : e.origin + e.pathname } catch (f) { } } function Ch(a) { var b = va.apply(1, arguments); Wg && (yh(a, 2, b[0]), yh(a, 3, b[0])); Ub.apply(null, ta(b)) } function Dh(a) { var b = va.apply(1, arguments); Wg && yh(a, 2, b[0]); return Vb.apply(null, ta(b)) } function Eh(a) { var b = va.apply(1, arguments); Wg && yh(a, 3, b[0]); Pb.apply(null, ta(b)) }
+  function Fh(a) { var b = va.apply(1, arguments), c = b[0]; Wg && (yh(a, 2, c), yh(a, 3, c)); return Xb.apply(null, ta(b)) } function Gh(a) { var b = va.apply(1, arguments); Wg && yh(a, 1, b[0]); Mb.apply(null, ta(b)) } function Hh(a) { var b = va.apply(1, arguments); b[0] && Wg && yh(a, 4, b[0]); Ob.apply(null, ta(b)) } function Ih(a) { var b = va.apply(1, arguments); Wg && yh(a, 1, b[2]); return vh.apply(null, ta(b)) } function Jh(a) { var b = va.apply(1, arguments); Wg && yh(a, 4, b[0]); oh.apply(null, ta(b)) }; var Kh = /gtag[.\/]js/, Lh = /gtm[.\/]js/, Mh = !1; function Nh(a) { if (Mh) return "1"; var b, c = (b = a.scriptElement) == null ? void 0 : b.src; if (c) { if (Kh.test(c)) return "3"; if (Lh.test(c)) return "2" } return "0" }; function Oh(a) { var b = Ph(); b.pending || (b.pending = []); Sa(b.pending, function (c) { return c.target.ctid === a.ctid && c.target.isDestination === a.isDestination }) || b.pending.push({ target: a, onLoad: void 0 }) } function Qh() { var a = k.google_tags_first_party; Array.isArray(a) || (a = []); for (var b = {}, c = g(a), d = c.next(); !d.done; d = c.next())b[d.value] = !0; return Object.freeze(b) }
+  var Rh = function () { this.container = {}; this.destination = {}; this.canonical = {}; this.pending = []; this.siloed = []; this.injectedFirstPartyContainers = {}; this.injectedFirstPartyContainers = Qh() };
+  function Ph() { var a = Eb("google_tag_data", {}), b = a.tidr; b && typeof b === "object" || (b = new Rh, a.tidr = b); var c = b; c.container || (c.container = {}); c.destination || (c.destination = {}); c.canonical || (c.canonical = {}); c.pending || (c.pending = []); c.siloed || (c.siloed = []); c.injectedFirstPartyContainers || (c.injectedFirstPartyContainers = Qh()); return c }; var Sh = {}, Th = !1, Uh = void 0, Vh = { ctid: "", canonicalContainerId: "", Wk: "", Xk: "" }; Sh.Je = Za(""); function Wh() { return Sh.Je && Xh().some(function (a) { return a === Vh.ctid }) } function Yh() { var a = Zh(); return Th ? a.map($h) : a } function ai() { var a = Xh(); return Th ? a.map($h) : a }
+  function bi() { var a = ai(); if (!Th) for (var b = g([].concat(ta(a))), c = b.next(); !c.done; c = b.next()) { var d = $h(c.value), e = Ph().destination[d]; e && e.state !== 0 || a.push(d) } return a } function ci() { return di(Vh.ctid) } function ei() { return di(Vh.canonicalContainerId || "_" + Vh.ctid) } function Zh() { return Vh.Wk ? Vh.Wk.split("|") : [Vh.ctid] } function Xh() { return Vh.Xk ? Vh.Xk.split("|").filter(function (a) { return F(108) ? a.indexOf("GTM-") !== 0 : !0 }) : [] } function fi() { var a = gi(hi()), b = a && a.parent; if (b) return gi(b) }
+  function gi(a) { var b = Ph(); return a.isDestination ? b.destination[a.ctid] : b.container[a.ctid] } function di(a) { return Th ? $h(a) : a } function $h(a) { return "siloed_" + a } function ii(a) { a = String(a); return hb(a, "siloed_") ? a.substring(7) : a } function ji() { if (Ff.N) { var a = Ph(); if (a.siloed) { for (var b = [], c = Zh().map($h), d = Xh().map($h), e = {}, f = 0; f < a.siloed.length; e = { Ag: void 0 }, f++)e.Ag = a.siloed[f], !Th && Sa(e.Ag.isDestination ? d : c, function (h) { return function (l) { return l === h.Ag.ctid } }(e)) ? Th = !0 : b.push(e.Ag); a.siloed = b } } }
+  function ki() { var a = Ph(); if (a.pending) { for (var b, c = [], d = !1, e = Yh(), f = Uh ? Uh : bi(), h = {}, l = 0; l < a.pending.length; h = { ff: void 0 }, l++)h.ff = a.pending[l], Sa(h.ff.target.isDestination ? f : e, function (m) { return function (n) { return n === m.ff.target.ctid } }(h)) ? d || (b = h.ff.onLoad, d = !0) : c.push(h.ff); a.pending = c; if (b) try { b(ei()) } catch (m) { } } }
+  function li() {
+    var a = Vh.ctid, b = Yh(), c = bi(); Uh = c; for (var d = function (n, p) {
+      var q = { canonicalContainerId: Vh.canonicalContainerId, scriptContainerId: a, state: 2, containers: b.slice(), destinations: c.slice() }; Cb && (q.scriptElement = Cb); Db && (q.scriptSource = Db); if (fi() === void 0) {
+        var r; a: {
+          if ((q.scriptContainerId || "").indexOf("GTM-") >= 0) {
+            var u; b: {
+              var v, t = (v = q.scriptElement) == null ? void 0 : v.src; if (t) {
+                for (var w = Ff.F, y = Fg(t), z = w ? y.pathname : "" + y.hostname + y.pathname, C = x.scripts, B = "", E = 0; E < C.length; ++E) {
+                  var K = C[E]; if (!(K.innerHTML.length ===
+                    0 || !w && K.innerHTML.indexOf(q.scriptContainerId || "SHOULD_NOT_BE_SET") < 0 || K.innerHTML.indexOf(z) < 0)) { if (K.innerHTML.indexOf("(function(w,d,s,l,i)") >= 0) { u = String(E); break b } B = String(E) }
+                } if (B) { u = B; break b }
+              } u = void 0
+            } var M = u; if (M) { Mh = !0; r = M; break a }
+          } var N = [].slice.call(x.scripts); r = q.scriptElement ? String(N.indexOf(q.scriptElement)) : "-1"
+        } q.htmlLoadOrder = r; q.loadScriptType = Nh(q)
+      } var U = p ? e.destination : e.container, I = U[n]; I ? (p && I.state === 0 && J(93), Object.assign(I, q)) : U[n] = q
+    }, e = Ph(), f = g(b), h = f.next(); !h.done; h =
+      f.next())d(h.value, !1); for (var l = g(c), m = l.next(); !m.done; m = l.next())d(m.value, !0); e.canonical[ei()] = {}; ki()
+  } function mi() { var a = ei(); return !!Ph().canonical[a] } function hi() { return { ctid: ci(), isDestination: Sh.Je } } function ni(a, b) { b.siloed && oi({ ctid: a, isDestination: !1 }); var c = hi(); Ph().container[a] = { state: 1, context: b, parent: c }; Oh({ ctid: a, isDestination: !1 }) } function oi(a) { var b = Ph(); (b.siloed = b.siloed || []).push(a) }
+  function pi() { var a = Ph().container, b; for (b in a) if (a.hasOwnProperty(b) && a[b].state === 1) return !0; return !1 } function qi() { var a = {}; Wa(Ph().destination, function (b, c) { c.state === 0 && (a[ii(b)] = c) }); return a } function ri(a) { return !!(a && a.parent && a.context && a.context.source === 1 && a.parent.ctid.indexOf("GTM-") !== 0) } function si() { for (var a = Ph(), b = g(Yh()), c = b.next(); !c.done; c = b.next())if (a.injectedFirstPartyContainers[c.value]) return !0; return !1 }
+  function ti(a) { var b = Ph(); return b.destination[a] ? 1 : b.destination[$h(a)] ? 2 : 0 }; var ui = { Ta: { Ce: 0, Ie: 1, kk: 2 } }; ui.Ta[ui.Ta.Ce] = "FULL_TRANSMISSION"; ui.Ta[ui.Ta.Ie] = "LIMITED_TRANSMISSION"; ui.Ta[ui.Ta.kk] = "NO_TRANSMISSION"; var vi = { W: { Jc: 0, Wa: 1, Xc: 2, Ic: 3 } }; vi.W[vi.W.Jc] = "NO_QUEUE"; vi.W[vi.W.Wa] = "ADS"; vi.W[vi.W.Xc] = "ANALYTICS"; vi.W[vi.W.Ic] = "MONITORING"; function wi() { var a = Eb("google_tag_data", {}); return a.ics = a.ics || new xi } var xi = function () { this.entries = {}; this.waitPeriodTimedOut = this.wasSetLate = this.accessedAny = this.accessedDefault = this.usedImplicit = this.usedUpdate = this.usedDefault = this.usedDeclare = this.active = !1; this.F = [] };
+  xi.prototype.default = function (a, b, c, d, e, f, h) { this.usedDefault || this.usedDeclare || !this.accessedDefault && !this.accessedAny || (this.wasSetLate = !0); this.usedDefault = this.active = !0; Ia("TAGGING", 19); b == null ? Ia("TAGGING", 18) : yi(this, a, b === "granted", c, d, e, f, h) }; xi.prototype.waitForUpdate = function (a, b, c) { for (var d = 0; d < a.length; d++)yi(this, a[d], void 0, void 0, "", "", b, c) };
+  var yi = function (a, b, c, d, e, f, h, l) {
+    var m = a.entries, n = m[b] || {}, p = n.region, q = d && Pa(d) ? d.toUpperCase() : void 0; e = e.toUpperCase(); f = f.toUpperCase(); if (e === "" || q === f || (q === e ? p !== f : !q && !p)) {
+      var r = !!(h && h > 0 && n.update === void 0), u = { region: q, declare_region: n.declare_region, implicit: n.implicit, default: c !== void 0 ? c : n.default, declare: n.declare, update: n.update, quiet: r }; if (e !== "" || n.default !== !1) m[b] = u; r && k.setTimeout(function () {
+        m[b] === u && u.quiet && (Ia("TAGGING", 2), a.waitPeriodTimedOut = !0, a.clearTimeout(b, void 0, l),
+          a.notifyListeners())
+      }, h)
+    }
+  }; aa = xi.prototype; aa.clearTimeout = function (a, b, c) { var d = [a], e = c.delegatedConsentTypes, f; for (f in e) e.hasOwnProperty(f) && e[f] === a && d.push(f); var h = this.entries[a] || {}, l = this.getConsentState(a, c); if (h.quiet) { h.quiet = !1; for (var m = g(d), n = m.next(); !n.done; n = m.next())zi(this, n.value) } else if (b !== void 0 && l !== b) for (var p = g(d), q = p.next(); !q.done; q = p.next())zi(this, q.value) };
+  aa.update = function (a, b, c) { this.usedDefault || this.usedDeclare || this.usedUpdate || !this.accessedAny || (this.wasSetLate = !0); this.usedUpdate = this.active = !0; if (b != null) { var d = this.getConsentState(a, c), e = this.entries; (e[a] = e[a] || {}).update = b === "granted"; this.clearTimeout(a, d, c) } };
+  aa.declare = function (a, b, c, d, e) { this.usedDeclare = this.active = !0; var f = this.entries, h = f[a] || {}, l = h.declare_region, m = c && Pa(c) ? c.toUpperCase() : void 0; d = d.toUpperCase(); e = e.toUpperCase(); if (d === "" || m === e || (m === d ? l !== e : !m && !l)) { var n = { region: h.region, declare_region: m, declare: b === "granted", implicit: h.implicit, default: h.default, update: h.update, quiet: h.quiet }; if (d !== "" || h.declare !== !1) f[a] = n } };
+  aa.implicit = function (a, b) { this.usedImplicit = !0; var c = this.entries, d = c[a] = c[a] || {}; d.implicit !== !1 && (d.implicit = b === "granted") };
+  aa.getConsentState = function (a, b) {
+    var c = this.entries, d = c[a] || {}, e = d.update; if (e !== void 0) return e ? 1 : 2; if (b.usedContainerScopedDefaults) { var f = b.containerScopedDefaults[a]; if (f === 3) return 1; if (f === 2) return 2 } else if (e = d.default, e !== void 0) return e ? 1 : 2; if (b == null ? 0 : b.delegatedConsentTypes.hasOwnProperty(a)) {
+      var h = b.delegatedConsentTypes[a], l = c[h] || {}; e = l.update; if (e !== void 0) return e ? 1 : 2; if (b.usedContainerScopedDefaults) { var m = b.containerScopedDefaults[h]; if (m === 3) return 1; if (m === 2) return 2 } else if (e =
+        l.default, e !== void 0) return e ? 1 : 2
+    } e = d.declare; if (e !== void 0) return e ? 1 : 2; e = d.implicit; return e !== void 0 ? e ? 3 : 4 : 0
+  }; aa.addListener = function (a, b) { this.F.push({ consentTypes: a, xn: b }) }; var zi = function (a, b) { for (var c = 0; c < a.F.length; ++c) { var d = a.F[c]; Array.isArray(d.consentTypes) && d.consentTypes.indexOf(b) !== -1 && (d.Yk = !0) } }; xi.prototype.notifyListeners = function (a, b) { for (var c = 0; c < this.F.length; ++c) { var d = this.F[c]; if (d.Yk) { d.Yk = !1; try { d.xn({ consentEventId: a, consentPriorityId: b }) } catch (e) { } } } }; var Ai = !1, Bi = !1, Ci = {}, Di = { delegatedConsentTypes: {}, corePlatformServices: {}, usedCorePlatformServices: !1, selectedAllCorePlatformServices: !1, containerScopedDefaults: (Ci.ad_storage = 1, Ci.analytics_storage = 1, Ci.ad_user_data = 1, Ci.ad_personalization = 1, Ci), usedContainerScopedDefaults: !1 }; function Ei(a) { var b = wi(); b.accessedAny = !0; return (Pa(a) ? [a] : a).every(function (c) { switch (b.getConsentState(c, Di)) { case 1: case 3: return !0; case 2: case 4: return !1; default: return !0 } }) }
+  function Fi(a) { var b = wi(); b.accessedAny = !0; return b.getConsentState(a, Di) } function Gi(a) { for (var b = {}, c = g(a), d = c.next(); !d.done; d = c.next()) { var e = d.value; b[e] = Di.corePlatformServices[e] !== !1 } return b } function Hi(a) { var b = wi(); b.accessedAny = !0; return !(b.entries[a] || {}).quiet }
+  function Ii() { if (!rd(8)) return !1; var a = wi(); a.accessedAny = !0; if (a.active) return !0; if (!Di.usedContainerScopedDefaults) return !1; for (var b = g(Object.keys(Di.containerScopedDefaults)), c = b.next(); !c.done; c = b.next())if (Di.containerScopedDefaults[c.value] !== 1) return !0; return !1 } function Ji(a, b) { wi().addListener(a, b) } function Ki(a, b) { wi().notifyListeners(a, b) }
+  function Li(a, b) { function c() { for (var e = 0; e < b.length; e++)if (!Hi(b[e])) return !0; return !1 } if (c()) { var d = !1; Ji(b, function (e) { d || c() || (d = !0, a(e)) }) } else a({}) }
+  function Mi(a, b) { function c() { for (var l = [], m = 0; m < e.length; m++) { var n = e[m]; Ei(n) && !f[n] && l.push(n) } return l } function d(l) { for (var m = 0; m < l.length; m++)f[l[m]] = !0 } var e = Pa(b) ? [b] : b, f = {}, h = c(); h.length !== e.length && (d(h), Ji(e, function (l) { function m(q) { q.length !== 0 && (d(q), l.consentTypes = q, a(l)) } var n = c(); if (n.length !== 0) { var p = Object.keys(f).length; n.length + p >= e.length ? m(n) : k.setTimeout(function () { m(c()) }, 500) } })) }; var Ni = {}, Oi = (Ni[vi.W.Jc] = ui.Ta.Ce, Ni[vi.W.Wa] = ui.Ta.Ce, Ni[vi.W.Xc] = ui.Ta.Ce, Ni[vi.W.Ic] = ui.Ta.Ce, Ni), Pi = function (a, b) { this.F = a; this.consentTypes = b }; Pi.prototype.isConsentGranted = function () { switch (this.F) { case 0: return this.consentTypes.every(function (a) { return Ei(a) }); case 1: return this.consentTypes.some(function (a) { return Ei(a) }); default: wb(this.F, "consentsRequired had an unknown type") } };
+  var Qi = {}, Si = (Qi[vi.W.Jc] = new Pi(0, []), Qi[vi.W.Wa] = new Pi(0, ["ad_storage"]), Qi[vi.W.Xc] = new Pi(0, ["analytics_storage"]), Qi[vi.W.Ic] = new Pi(1, ["ad_storage", "analytics_storage"]), Qi); var Ui = function (a) { var b = this; this.type = a; this.F = []; Ji(Si[a].consentTypes, function () { Ti(b) || b.flush() }) }; Ui.prototype.flush = function () { for (var a = g(this.F), b = a.next(); !b.done; b = a.next()) { var c = b.value; c() } this.F = [] }; var Ti = function (a) { return Oi[a.type] === ui.Ta.kk && !Si[a.type].isConsentGranted() }, Vi = function (a, b) { Ti(a) ? a.F.push(b) : b() }, Wi = new Map; function Xi(a) { Wi.has(a) || Wi.set(a, new Ui(a)); return Wi.get(a) }; var Yi = "/td?id=" + Vh.ctid, Zi = "v t pid dl tdp exp".split(" "), $i = ["mcc"], aj = {}, bj = {}, cj = !1; function dj(a, b, c) { bj[a] = b; (c === void 0 || c) && ej(a) } function ej(a, b) { if (aj[a] === void 0 || (b === void 0 ? 0 : b)) aj[a] = !0 } function fj(a) { a = a === void 0 ? !1 : a; var b = Object.keys(aj).filter(function (c) { return aj[c] === !0 && bj[c] !== void 0 && (a || !$i.includes(c)) }).map(function (c) { var d = bj[c]; typeof d === "function" && (d = d()); return d ? "&" + c + "=" + d : "" }).join(""); return "" + Og("https://www.googletagmanager.com") + Yi + ("" + b + "&z=0") }
+  function gj() { Object.keys(aj).forEach(function (a) { Zi.indexOf(a) < 0 && (aj[a] = !1) }) } function hj(a) { a = a === void 0 ? !1 : a; if (Ff.P && Wg && Vh.ctid) { var b = Xi(vi.W.Ic); if (Ti(b)) cj || (cj = !0, Vi(b, hj)); else { var c = fj(a), d = { destinationId: Vh.ctid, endpoint: 56 }; a ? Fh(d, c) : Eh(d, c); gj(); cj = !1 } } } var ij = {}; function jj() { Object.keys(aj).filter(function (a) { return aj[a] && !Zi.includes(a) }).length > 0 && hj(!0) } var kj = Ta(); function lj() { kj = Ta() }
+  function mj() { dj("v", "3"); dj("t", "t"); dj("pid", function () { return String(kj) }); dj("exp", $f()); Rb(k, "pagehide", jj); k.setInterval(lj, 864E5) }; var nj = ["ad_storage", "analytics_storage", "ad_user_data", "ad_personalization"], oj = [G.m.Dc, G.m.Rb, G.m.ld, G.m.xb, G.m.Qb, G.m.La, G.m.Ka, G.m.Xa, G.m.eb, G.m.zb], pj = !1, qj = !1, rj = {}, sj = {}; function tj() { !qj && pj && (nj.some(function (a) { return Di.containerScopedDefaults[a] !== 1 }) || uj("mbc")); qj = !0 } function uj(a) { Wg && (dj(a, "1"), hj()) } function vj(a, b) { if (!rj[b] && (rj[b] = !0, sj[b])) for (var c = g(oj), d = c.next(); !d.done; d = c.next())if (a.hasOwnProperty(d.value)) { uj("erc"); break } }; function wj(a) { Ia("HEALTH", a) }; var xj = { vk: "service_worker_endpoint", xk: "shared_user_id", yk: "shared_user_id_requested", ug: "shared_user_id_source", Qg: "cookie_deprecation_label", sl: "aw_user_data_cache", wm: "ga4_user_data_cache", tm: "fl_user_data_cache", nk: "pt_listener_set", Me: "pt_data", jk: "nb_data", Dh: "ip_geo_fetch_in_progress", Ee: "ip_geo_data_cache" }, yj; function zj(a) { if (!yj) { yj = {}; for (var b = g(Object.keys(xj)), c = b.next(); !c.done; c = b.next())yj[xj[c.value]] = !0 } return !!yj[a] }
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+    }
+  };
+  Ul.prototype.register = function (a, b, c) { var d = Vl(this, a); d.status !== 3 && (d.ba = b, d.status = 3, d.fa = Xi(c), this.flush()) }; Ul.prototype.push = function (a, b, c, d) { c !== void 0 && (Vl(this, c).status === 1 && (Vl(this, c).status = 2, this.push("require", [{}], c, {})), Vl(this, c).F && (d.deferrable = !1), d.eventMetadata || (d.eventMetadata = {}), d.eventMetadata[P.C.Ne] || (d.eventMetadata[P.C.Ne] = [c.destinationId]), d.eventMetadata[P.C.Kh] || (d.eventMetadata[P.C.Kh] = [c.id])); this.commands.push(new Tl(a, c, b, d)); d.deferrable || this.flush() };
+  Ul.prototype.flush = function (a) {
+    for (var b = this, c = [], d = !1, e = {}; this.commands.length; e = { Ub: void 0, Bg: void 0 }) {
+      var f = this.commands[0], h = f.F; if (f.messageContext.deferrable) !h || Vl(this, h).F ? (f.messageContext.deferrable = !1, this.commands.push(f)) : c.push(f), this.commands.shift(); else {
+        switch (f.type) {
+          case "require": if (Vl(this, h).status !== 3 && !a) { this.commands.push.apply(this.commands, c); return } break; case "set": var l = f.args[0]; Wa(l, function (v, t) { ic(ib(v, t), b.F) }); Df(l, !0); break; case "config": var m = Vl(this, h);
+            e.Ub = {}; Wa(f.args[0], function (v) { return function (t, w) { ic(ib(t, w), v.Ub) } }(e)); var n = !!e.Ub[G.m.Ec]; delete e.Ub[G.m.Ec]; var p = h.destinationId === h.id; Df(e.Ub, !0); n || (p ? m.K = {} : m.O[h.id] = {}); m.F && n || Wl(this, G.m.ma, e.Ub, f); m.F = !0; p ? ic(e.Ub, m.K) : (ic(e.Ub, m.O[h.id]), J(70)); d = !0; vj(e.Ub, h.id); pj = !0; break; case "event": e.Bg = {}; Wa(f.args[0], function (v) { return function (t, w) { ic(ib(t, w), v.Bg) } }(e)); Df(e.Bg); Wl(this, f.args[1], e.Bg, f); var q = void 0; !f.F || ((q = f.messageContext.eventMetadata) == null ? 0 : q[P.C.vf]) || (sj[f.F.id] =
+              !0); pj = !0; break; case "get": var r = {}, u = (r[G.m.Mb] = f.args[0], r[G.m.bc] = f.args[1], r); Wl(this, G.m.qb, u, f); pj = !0
+        }this.commands.shift(); Xl(this, f)
+      }
+    } this.commands.push.apply(this.commands, c); d && this.flush()
+  };
+  var Xl = function (a, b) { if (b.type !== "require") if (b.F) for (var c = Vl(a, b.F).P[b.type] || [], d = 0; d < c.length; d++)c[d](); else for (var e in a.destinations) if (a.destinations.hasOwnProperty(e)) { var f = a.destinations[e]; if (f && f.P) for (var h = f.P[b.type] || [], l = 0; l < h.length; l++)h[l]() } }, Yl = function (a, b) { var c = Ql, d = ic(b, null); ic(Vl(c, a).N, d); Vl(c, a).N = d }, Ql = new Ul; function Zl(a, b, c) { return typeof a.addEventListener === "function" ? (a.addEventListener(b, c, !1), !0) : !1 } function $l(a, b, c) { typeof a.removeEventListener === "function" && a.removeEventListener(b, c, !1) }; function am(a, b, c, d) { d = d === void 0 ? !1 : d; a.google_image_requests || (a.google_image_requests = []); var e = kh(a.document); if (c) { var f = function () { if (c) { var h = a.google_image_requests, l = yb(h, e); l >= 0 && Array.prototype.splice.call(h, l, 1) } $l(e, "load", f); $l(e, "error", f) }; Zl(e, "load", f); Zl(e, "error", f) } d && (e.attributionSrc = ""); e.src = b; a.google_image_requests.push(e) }
+  function bm(a) { var b; b = b === void 0 ? !1 : b; var c = "https://pagead2.googlesyndication.com/pagead/gen_204?id=tcfe"; hh(a, function (d, e) { if (d || d === 0) c += "&" + e + "=" + encodeURIComponent(String(d)) }); cm(c, b) }
+  function cm(a, b) { var c = window, d; b = b === void 0 ? !1 : b; d = d === void 0 ? !1 : d; if (c.fetch) { var e = { keepalive: !0, credentials: "include", redirect: "follow", method: "get", mode: "no-cors" }; d && (e.mode = "cors", "setAttributionReporting" in XMLHttpRequest.prototype ? e.attributionReporting = { eventSourceEligible: "true", triggerEligible: "false" } : e.headers = { "Attribution-Reporting-Eligible": "event-source" }); c.fetch(a, e) } else am(c, a, b === void 0 ? !1 : b, d === void 0 ? !1 : d) }; var dm = function () { this.ba = this.ba; this.O = this.O }; dm.prototype.ba = !1; dm.prototype.dispose = function () { this.ba || (this.ba = !0, this.N()) }; dm.prototype[Symbol.dispose] = function () { this.dispose() }; dm.prototype.addOnDisposeCallback = function (a, b) { this.ba ? b !== void 0 ? a.call(b) : a() : (this.O || (this.O = []), b && (a = a.bind(b)), this.O.push(a)) }; dm.prototype.N = function () { if (this.O) for (; this.O.length;)this.O.shift()() }; function em(a) { a.addtlConsent !== void 0 && typeof a.addtlConsent !== "string" && (a.addtlConsent = void 0); a.gdprApplies !== void 0 && typeof a.gdprApplies !== "boolean" && (a.gdprApplies = void 0); return a.tcString !== void 0 && typeof a.tcString !== "string" || a.listenerId !== void 0 && typeof a.listenerId !== "number" ? 2 : a.cmpStatus && a.cmpStatus !== "error" ? 0 : 3 }
+  var fm = function (a, b) { b = b === void 0 ? {} : b; dm.call(this); this.F = null; this.fa = {}; this.mc = 0; this.P = null; this.K = a; var c; this.ib = (c = b.timeoutMs) != null ? c : 500; var d; this.Ga = (d = b.Fp) != null ? d : !1 }; ra(fm, dm); fm.prototype.N = function () { this.fa = {}; this.P && ($l(this.K, "message", this.P), delete this.P); delete this.fa; delete this.K; delete this.F; dm.prototype.N.call(this) }; var hm = function (a) { return typeof a.K.__tcfapi === "function" || gm(a) != null };
+  fm.prototype.addEventListener = function (a) {
+    var b = this, c = { internalBlockOnErrors: this.Ga }, d = $g(function () { return a(c) }), e = 0; this.ib !== -1 && (e = setTimeout(function () { c.tcString = "tcunavailable"; c.internalErrorState = 1; d() }, this.ib)); var f = function (h, l) { clearTimeout(e); h ? (c = h, c.internalErrorState = em(c), c.internalBlockOnErrors = b.Ga, l && c.internalErrorState === 0 || (c.tcString = "tcunavailable", l || (c.internalErrorState = 3))) : (c.tcString = "tcunavailable", c.internalErrorState = 3); a(c) }; try { im(this, "addEventListener", f) } catch (h) {
+      c.tcString =
+        "tcunavailable", c.internalErrorState = 3, e && (clearTimeout(e), e = 0), d()
+    }
+  }; fm.prototype.removeEventListener = function (a) { a && a.listenerId && im(this, "removeEventListener", null, a.listenerId) };
+  var om = function (a, b, c) {
+    var d; d = d === void 0 ? "755" : d; var e; a: { if (a.publisher && a.publisher.restrictions) { var f = a.publisher.restrictions[b]; if (f !== void 0) { e = f[d === void 0 ? "755" : d]; break a } } e = void 0 } var h = e; if (h === 0) return !1; var l = c; c === 2 ? (l = 0, h === 2 && (l = 1)) : c === 3 && (l = 1, h === 1 && (l = 0)); var m; if (l === 0) if (a.purpose && a.vendor) { var n = nm(a.vendor.consents, d === void 0 ? "755" : d); m = n && b === "1" && a.purposeOneTreatment && a.publisherCC === "CH" ? !0 : n && nm(a.purpose.consents, b) } else m = !0; else m = l === 1 ? a.purpose && a.vendor ? nm(a.purpose.legitimateInterests,
+      b) && nm(a.vendor.legitimateInterests, d === void 0 ? "755" : d) : !0 : !0; return m
+  }, nm = function (a, b) { return !(!a || !a[b]) }, im = function (a, b, c, d) { c || (c = function () { }); var e = a.K; if (typeof e.__tcfapi === "function") { var f = e.__tcfapi; f(b, 2, c, d) } else if (gm(a)) { pm(a); var h = ++a.mc; a.fa[h] = c; if (a.F) { var l = {}; a.F.postMessage((l.__tcfapiCall = { command: b, version: 2, callId: h, parameter: d }, l), "*") } } else c({}, !1) }, gm = function (a) { if (a.F) return a.F; a.F = ih(a.K, "__tcfapiLocator"); return a.F }, pm = function (a) {
+    if (!a.P) {
+      var b = function (c) {
+        try {
+          var d;
+          d = (typeof c.data === "string" ? JSON.parse(c.data) : c.data).__tcfapiReturn; a.fa[d.callId](d.returnValue, d.success)
+        } catch (e) { }
+      }; a.P = b; Zl(a.K, "message", b)
+    }
+  }, qm = function (a) { if (a.gdprApplies === !1) return !0; a.internalErrorState === void 0 && (a.internalErrorState = em(a)); return a.cmpStatus === "error" || a.internalErrorState !== 0 ? a.internalBlockOnErrors ? (bm({ e: String(a.internalErrorState) }), !1) : !0 : a.cmpStatus !== "loaded" || a.eventStatus !== "tcloaded" && a.eventStatus !== "useractioncomplete" ? !1 : !0 }; var rm = { 1: 0, 3: 0, 4: 0, 7: 3, 9: 3, 10: 3 }; function sm() { return Gk("tcf", function () { return {} }) } var tm = function () { return new fm(k, { timeoutMs: -1 }) };
+  function um() {
+    var a = sm(), b = tm(); hm(b) && !vm() && !wm() && J(124); if (!a.active && hm(b)) {
+      vm() && (a.active = !0, a.purposes = {}, a.cmpId = 0, a.tcfPolicyVersion = 0, wi().active = !0, a.tcString = "tcunavailable"); zk(); try {
+        b.addEventListener(function (c) {
+          if (c.internalErrorState !== 0) xm(a), Ak([G.m.T, G.m.Ea, G.m.U]), wi().active = !0; else if (a.gdprApplies = c.gdprApplies, a.cmpId = c.cmpId, a.enableAdvertiserConsentMode = c.enableAdvertiserConsentMode, wm() && (a.active = !0), !ym(c) || vm() || wm()) {
+            a.tcfPolicyVersion = c.tcfPolicyVersion; var d; if (c.gdprApplies ===
+              !1) { var e = {}, f; for (f in rm) rm.hasOwnProperty(f) && (e[f] = !0); d = e; b.removeEventListener(c) } else if (ym(c)) { var h = {}, l; for (l in rm) if (rm.hasOwnProperty(l)) if (l === "1") { var m, n = c, p = { Cn: !0 }; p = p === void 0 ? {} : p; m = qm(n) ? n.gdprApplies === !1 ? !0 : n.tcString === "tcunavailable" ? !p.idpcApplies : (p.idpcApplies || n.gdprApplies !== void 0 || p.Cn) && (p.idpcApplies || typeof n.tcString === "string" && n.tcString.length) ? om(n, "1", 0) : !0 : !1; h["1"] = m } else h[l] = om(c, l, rm[l]); d = h } if (d) {
+                a.tcString = c.tcString || "tcempty"; a.purposes = d; var q = {},
+                  r = (q[G.m.T] = a.purposes["1"] ? "granted" : "denied", q); a.gdprApplies !== !0 ? (Ak([G.m.T, G.m.Ea, G.m.U]), wi().active = !0) : (r[G.m.Ea] = a.purposes["3"] && a.purposes["4"] ? "granted" : "denied", typeof a.tcfPolicyVersion === "number" && a.tcfPolicyVersion >= 4 ? r[G.m.U] = a.purposes["1"] && a.purposes["7"] ? "granted" : "denied" : Ak([G.m.U]), vk(r, { eventId: 0 }, { gdprApplies: a ? a.gdprApplies : void 0, tcString: zm() || "" }))
+              }
+          } else Ak([G.m.T, G.m.Ea, G.m.U])
+        })
+      } catch (c) { xm(a), Ak([G.m.T, G.m.Ea, G.m.U]), wi().active = !0 }
+    }
+  }
+  function xm(a) { a.type = "e"; a.tcString = "tcunavailable" } function ym(a) { return a.eventStatus === "tcloaded" || a.eventStatus === "useractioncomplete" || a.eventStatus === "cmpuishown" } function vm() { return k.gtag_enable_tcf_support === !0 } function wm() { return sm().enableAdvertiserConsentMode === !0 } function zm() { var a = sm(); if (a.active) return a.tcString } function Am() { var a = sm(); if (a.active && a.gdprApplies !== void 0) return a.gdprApplies ? "1" : "0" }
+  function Bm(a) { if (!rm.hasOwnProperty(String(a))) return !0; var b = sm(); return b.active && b.purposes ? !!b.purposes[String(a)] : !0 }; var Cm = [G.m.T, G.m.Z, G.m.U, G.m.Ea], Dm = {}, Em = (Dm[G.m.T] = 1, Dm[G.m.Z] = 2, Dm); function Fm(a) { if (a === void 0) return 0; switch (L(a, G.m.ya)) { case void 0: return 1; case !1: return 3; default: return 2 } } function Gm(a) { if (Mj() === "US-CO" && Ab.globalPrivacyControl === !0) return !1; var b = Fm(a); if (b === 3) return !1; switch (Fi(G.m.Ea)) { case 1: case 3: return !0; case 2: return !1; case 4: return b === 2; case 0: return !0; default: return !1 } } function Hm() { return Ii() || !Ei(G.m.T) || !Ei(G.m.Z) }
+  function Im() { var a = {}, b; for (b in Em) Em.hasOwnProperty(b) && (a[Em[b]] = Fi(b)); return "G1" + lc(a[1] || 0) + lc(a[2] || 0) } var Jm = {}, Km = (Jm[G.m.T] = 0, Jm[G.m.Z] = 1, Jm[G.m.U] = 2, Jm[G.m.Ea] = 3, Jm); function Lm(a) { switch (a) { case void 0: return 1; case !0: return 3; case !1: return 2; default: return 0 } }
+  function Mm(a) {
+    for (var b = "1", c = 0; c < Cm.length; c++) { var d = b, e, f = Cm[c], h = Di.delegatedConsentTypes[f]; e = h === void 0 ? 0 : Km.hasOwnProperty(h) ? 12 | Km[h] : 8; var l = wi(); l.accessedAny = !0; var m = l.entries[f] || {}; e = e << 2 | Lm(m.implicit); b = d + ("" + "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[e] + "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[Lm(m.declare) << 4 | Lm(m.default) << 2 | Lm(m.update)]) } var n = b, p = (Mj() === "US-CO" && Ab.globalPrivacyControl === !0 ? 1 : 0) << 3, q = (Ii() ? 1 : 0) << 2, r = Fm(a); b =
+      n + "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[p | q | r]; return b += "" + "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[Di.containerScopedDefaults.ad_storage << 4 | Di.containerScopedDefaults.analytics_storage << 2 | Di.containerScopedDefaults.ad_user_data] + "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[(Di.usedContainerScopedDefaults ? 1 : 0) << 2 | Di.containerScopedDefaults.ad_personalization]
+  }
+  function Nm() { if (!Ei(G.m.U)) return "-"; for (var a = Object.keys(de), b = Gi(a), c = "", d = g(a), e = d.next(); !e.done; e = d.next()) { var f = e.value; b[f] && (c += de[f]) } (Di.usedCorePlatformServices ? Di.selectedAllCorePlatformServices : 1) && (c += "o"); return c || "-" } function Om() { return Gj["6"] !== !1 || (vm() || wm()) && Am() === "1" ? "1" : "0" } function Pm() { return (Gj["6"] !== !1 ? !0 : !(!vm() && !wm()) && Am() === "1") || !Ei(G.m.U) }
+  function Qm() {
+    var a = "0", b = "0", c; var d = sm(); c = d.active ? d.cmpId : void 0; typeof c === "number" && c >= 0 && c <= 4095 && (a = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[c >> 6 & 63], b = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[c & 63]); var e = "0", f; var h = sm(); f = h.active ? h.tcfPolicyVersion : void 0; typeof f === "number" && f >= 0 && f <= 63 && (e = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[f]); var l = 0; Gj["6"] !== !1 && (l |= 1); Am() === "1" && (l |= 2); vm() && (l |= 4); var m; var n =
+      sm(); m = n.enableAdvertiserConsentMode !== void 0 ? n.enableAdvertiserConsentMode ? "1" : "0" : void 0; m === "1" && (l |= 8); wi().waitPeriodTimedOut && (l |= 16); return "1" + a + b + e + "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_"[l]
+  } function Rm() { return Mj() === "US-CO" }; function Sm() { var a = !1; return a }; var Tm = { UA: 1, AW: 2, DC: 3, G: 4, GF: 5, GT: 12, GTM: 14, HA: 6, MC: 7 };
+  function Um(a) {
+    a = a === void 0 ? {} : a; var b = Vh.ctid.split("-")[0].toUpperCase(), c = { ctid: Vh.ctid, wo: Jf.Ih, zo: Jf.Jh, ao: Sh.Je ? 2 : 1, Fo: a.kl, Ik: Vh.canonicalContainerId }; c.Ik !== a.Na && (c.Na = a.Na); var d = fi(); c.ho = d ? d.canonicalContainerId : void 0; Of ? (c.Lg = Tm[b], c.Lg || (c.Lg = 0)) : c.Lg = Sf ? 13 : 10; Ff.F ? (c.Jg = 0, c.Wm = 2) : Qf ? c.Jg = 1 : Sm() ? c.Jg = 2 : c.Jg = 3; var e = {}; e[6] = Th; Ff.K === 2 ? e[7] = !0 : Ff.K === 1 && (e[2] = !0); if (Db) { var f = zg(Fg(Db), "host"); f && (e[8] = f.match(/^(www\.)?googletagmanager\.com$/) === null) } c.fn = e; var h = a.Uh, l; var m = c.Lg,
+      n = c.Jg; m === void 0 ? l = "" : (n || (n = 0), l = "" + nc(1, 1) + kc(m << 2 | n)); var p = c.Wm, q = "4" + l + (p ? "" + nc(2, 1) + kc(p) : ""), r, u = c.zo; r = u && mc.test(u) ? "" + nc(3, 2) + u : ""; var v, t = c.wo; v = t ? "" + nc(4, 1) + kc(t) : ""; var w; var y = c.ctid; if (y && h) { var z = y.split("-"), C = z[0].toUpperCase(); if (C !== "GTM" && C !== "OPT") w = ""; else { var B = z[1]; w = "" + nc(5, 3) + kc(1 + B.length) + (c.ao || 0) + B } } else w = ""; var E = c.Fo, K = c.Ik, M = c.Na, N = c.Rp, U = q + r + v + w + (E ? "" + nc(6, 1) + kc(E) : "") + (K ? "" + nc(7, 3) + kc(K.length) + K : "") + (M ? "" + nc(8, 3) + kc(M.length) + M : "") + (N ? "" + nc(9, 3) + kc(N.length) +
+        N : ""), I; var Z = c.fn; Z = Z === void 0 ? {} : Z; for (var T = [], ca = g(Object.keys(Z)), R = ca.next(); !R.done; R = ca.next()) { var Q = R.value; T[Number(Q)] = Z[Q] } if (T.length) { var da = nc(10, 3), ea; if (T.length === 0) ea = kc(0); else { for (var ha = [], za = 0, La = !1, wa = 0; wa < T.length; wa++) { La = !0; var Ga = wa % 6; T[wa] && (za |= 1 << Ga); Ga === 5 && (ha.push(kc(za)), za = 0, La = !1) } La && ha.push(kc(za)); ea = ha.join("") } var Ma = ea; I = "" + da + kc(Ma.length) + Ma } else I = ""; var ob = c.ho; return U + I + (ob ? "" + nc(11, 3) + kc(ob.length) + ob : "")
+  }; function Vm(a) { var b = 1, c, d, e; if (a) for (b = 0, d = a.length - 1; d >= 0; d--)e = a.charCodeAt(d), b = (b << 6 & 268435455) + e + (e << 14), c = b & 266338304, b = c !== 0 ? b ^ c >> 21 : b; return b }; var Wm = { M: { Jm: 0, Ki: 1, rf: 2, Qi: 3, Og: 4, Oi: 5, Pi: 6, Ri: 7, Pg: 8, Tj: 9, Sj: 10, xh: 11, Uj: 12, dg: 13, Xj: 14, Le: 15, Hm: 16, Bd: 17, Oh: 18, Ph: 19, Qh: 20, Bk: 21, Rh: 22, Sg: 23, Zi: 24 } }; Wm.M[Wm.M.Jm] = "RESERVED_ZERO"; Wm.M[Wm.M.Ki] = "ADS_CONVERSION_HIT"; Wm.M[Wm.M.rf] = "CONTAINER_EXECUTE_START"; Wm.M[Wm.M.Qi] = "CONTAINER_SETUP_END"; Wm.M[Wm.M.Og] = "CONTAINER_SETUP_START"; Wm.M[Wm.M.Oi] = "CONTAINER_BLOCKING_END"; Wm.M[Wm.M.Pi] = "CONTAINER_EXECUTE_END"; Wm.M[Wm.M.Ri] = "CONTAINER_YIELD_END"; Wm.M[Wm.M.Pg] = "CONTAINER_YIELD_START"; Wm.M[Wm.M.Tj] = "EVENT_EXECUTE_END";
+  Wm.M[Wm.M.Sj] = "EVENT_EVALUATION_END"; Wm.M[Wm.M.xh] = "EVENT_EVALUATION_START"; Wm.M[Wm.M.Uj] = "EVENT_SETUP_END"; Wm.M[Wm.M.dg] = "EVENT_SETUP_START"; Wm.M[Wm.M.Xj] = "GA4_CONVERSION_HIT"; Wm.M[Wm.M.Le] = "PAGE_LOAD"; Wm.M[Wm.M.Hm] = "PAGEVIEW"; Wm.M[Wm.M.Bd] = "SNIPPET_LOAD"; Wm.M[Wm.M.Oh] = "TAG_CALLBACK_ERROR"; Wm.M[Wm.M.Ph] = "TAG_CALLBACK_FAILURE"; Wm.M[Wm.M.Qh] = "TAG_CALLBACK_SUCCESS"; Wm.M[Wm.M.Bk] = "TAG_EXECUTE_END"; Wm.M[Wm.M.Rh] = "TAG_EXECUTE_START"; Wm.M[Wm.M.Sg] = "CUSTOM_PERFORMANCE_START"; Wm.M[Wm.M.Zi] = "CUSTOM_PERFORMANCE_END"; var Xm = [], Ym = {}, Zm = {}; var $m = ["1"]; function an(a) { return a.origin !== "null" }; function bn(a, b, c) { for (var d = [], e = b.split(";"), f = function (p) { return rd(12) ? p.trim() : p.replace(/^\s*|\s*$/g, "") }, h = 0; h < e.length; h++) { var l = e[h].split("="), m = f(l[0]); if (m && m === a) { var n = f(l.slice(1).join("=")); n && c && (n = decodeURIComponent(n)); d.push(n) } } return d }; function cn(a, b, c, d) { if (!dn(d)) return []; if (Xm.includes("1")) { var e; (e = cc()) == null || e.mark("1-" + Wm.M.Sg + "-" + (Zm["1"] || 0)) } var f = bn(a, String(b || en()), c); if (Xm.includes("1")) { var h = "1-" + Wm.M.Zi + "-" + (Zm["1"] || 0), l = { start: "1-" + Wm.M.Sg + "-" + (Zm["1"] || 0), end: h }, m; (m = cc()) == null || m.mark(h); var n, p, q = (p = (n = cc()) == null ? void 0 : n.measure(h, l)) == null ? void 0 : p.duration; q !== void 0 && (Zm["1"] = (Zm["1"] || 0) + 1, Ym["1"] = q + (Ym["1"] || 0)) } return f } function fn(a, b, c, d, e) { var f; return (f = gn(a, b, c, d, e)) == null ? void 0 : f.jn }
+  function gn(a, b, c, d, e) { if (dn(e)) { var f = hn(a, d, e); if (f.length === 1) return f[0]; if (f.length !== 0) { f = jn(f, function (h) { return h.rn }, b); if (f.length === 1) return f[0]; f = jn(f, function (h) { return h.jo }, c); return f[0] } } } function kn(a, b, c, d) { var e = en(), f = window; an(f) && (f.document.cookie = a); var h = en(); return e !== h || c !== void 0 && cn(b, h, !1, d).indexOf(c) >= 0 }
+  function ln(a, b, c) {
+    function d(u, v, t) { if (t == null) return delete h[v], u; h[v] = t; return u + "; " + v + "=" + t } function e(u, v) { if (v == null) return u; h[v] = !0; return u + "; " + v } if (!dn(c.Fb)) return 2; var f; b == null ? f = a + "=deleted; expires=" + (new Date(0)).toUTCString() : (c.encode && (b = encodeURIComponent(b)), b = mn(b), f = a + "=" + b); var h = {}; f = d(f, "path", c.path); var l; c.expires instanceof Date ? l = c.expires.toUTCString() : c.expires != null && (l = "" + c.expires); f = d(f, "expires", l); f = d(f, "max-age", c.Mp); f = d(f, "samesite", c.Pp); c.secure && (f =
+      e(f, "secure")); var m = c.domain; if (m && m.toLowerCase() === "auto") { for (var n = nn(), p = 0; p < n.length; ++p) { var q = n[p] !== "none" ? n[p] : void 0, r = d(f, "domain", q); r = e(r, c.flags); if (!on(q, c.path) && kn(r, a, b, c.Fb)) return 0 } return 1 } m && m.toLowerCase() !== "none" && (f = d(f, "domain", m)); f = e(f, c.flags); return on(m, c.path) ? 1 : kn(f, a, b, c.Fb) ? 0 : 1
+  } function pn(a, b, c) { c.path == null && (c.path = "/"); c.domain || (c.domain = "auto"); return ln(a, b, c) }
+  function jn(a, b, c) { for (var d = [], e = [], f, h = 0; h < a.length; h++) { var l = a[h], m = b(l); m === c ? d.push(l) : f === void 0 || m < f ? (e = [l], f = m) : m === f && e.push(l) } return d.length > 0 ? d : e } function hn(a, b, c) { for (var d = [], e = cn(a, void 0, void 0, c), f = 0; f < e.length; f++) { var h = e[f].split("."), l = h.shift(); if (!b || !l || b.indexOf(l) !== -1) { var m = h.shift(); if (m) { var n = m.split("-"); d.push({ hn: e[f], jn: h.join("."), rn: Number(n[0]) || 1, jo: Number(n[1]) || 1 }) } } } return d } function mn(a) { a && a.length > 1200 && (a = a.substring(0, 1200)); return a }
+  var qn = /^(www\.)?google(\.com?)?(\.[a-z]{2})?$/, rn = /(^|\.)doubleclick\.net$/i; function on(a, b) { return a !== void 0 && (rn.test(window.document.location.hostname) || b === "/" && qn.test(a)) } function sn(a) { if (!a) return 1; var b = a; rd(7) && a === "none" && (b = window.document.location.hostname); b = b.indexOf(".") === 0 ? b.substring(1) : b; return b.split(".").length } function tn(a) { if (!a || a === "/") return 1; a[0] !== "/" && (a = "/" + a); a[a.length - 1] !== "/" && (a += "/"); return a.split("/").length - 1 }
+  function un(a, b) { var c = "" + sn(a), d = tn(b); d > 1 && (c += "-" + d); return c }
+  var en = function () { return an(window) ? window.document.cookie : "" }, dn = function (a) { return a && rd(8) ? (Array.isArray(a) ? a : [a]).every(function (b) { return Hi(b) && Ei(b) }) : !0 }, nn = function () { var a = [], b = window.document.location.hostname.split("."); if (b.length === 4) { var c = b[b.length - 1]; if (Number(c).toString() === c) return ["none"] } for (var d = b.length - 2; d >= 0; d--)a.push(b.slice(d).join(".")); var e = window.document.location.hostname; rn.test(e) || qn.test(e) || a.push("none"); return a }; function vn(a) { var b = Math.round(Math.random() * 2147483647); return a ? String(b ^ Vm(a) & 2147483647) : String(b) } function wn(a) { return [vn(a), Math.round(cb() / 1E3)].join(".") }; function xn(a, b, c, d) { var e, f = Number(a.Eb != null ? a.Eb : void 0); f !== 0 && (e = new Date((b || cb()) + 1E3 * (f || 7776E3))); return { path: a.path, domain: a.domain, flags: a.flags, encode: !!c, expires: e, Fb: d } }; var yn = ["ad_storage", "ad_user_data"]; function zn(a, b) { if (!a) return Ia("TAGGING", 32), 10; if (b === null || b === void 0 || b === "") return Ia("TAGGING", 33), 11; var c = An(!1); if (c.error !== 0) return Ia("TAGGING", 34), c.error; if (!c.value) return Ia("TAGGING", 35), 2; c.value[a] = b; var d = Bn(c); d !== 0 && Ia("TAGGING", 36); return d }
+  function Cn(a) { if (!a) return Ia("TAGGING", 27), { error: 10 }; var b = An(); if (b.error !== 0) return Ia("TAGGING", 29), b; if (!b.value) return Ia("TAGGING", 30), { error: 2 }; if (!(a in b.value)) return Ia("TAGGING", 31), { value: void 0, error: 15 }; var c = b.value[a]; return c === null || c === void 0 || c === "" ? (Ia("TAGGING", 28), { value: void 0, error: 11 }) : { value: c, error: 0 } }
+  function An(a) {
+    a = a === void 0 ? !0 : a; if (!Ei(yn)) return Ia("TAGGING", 43), { error: 3 }; try { if (!k.localStorage) return Ia("TAGGING", 44), { error: 1 } } catch (f) { return Ia("TAGGING", 45), { error: 14 } } var b = { schema: "gcl", version: 1 }, c = void 0; try { c = k.localStorage.getItem("_gcl_ls") } catch (f) { return Ia("TAGGING", 46), { error: 13 } } try { if (c) { var d = JSON.parse(c); if (d && typeof d === "object") b = d; else return Ia("TAGGING", 47), { error: 12 } } } catch (f) { return Ia("TAGGING", 48), { error: 8 } } if (b.schema !== "gcl") return Ia("TAGGING", 49), { error: 4 };
+    if (b.version !== 1) return Ia("TAGGING", 50), { error: 5 }; try { var e = Dn(b); a && e && Bn({ value: b, error: 0 }) } catch (f) { return Ia("TAGGING", 48), { error: 8 } } return { value: b, error: 0 }
+  }
+  function Dn(a) { if (!a || typeof a !== "object") return !1; if ("expires" in a && "value" in a) { var b; typeof a.expires === "number" ? b = a.expires : b = typeof a.expires === "string" ? Number(a.expires) : NaN; if (isNaN(b) || !(Date.now() <= b)) return a.value = null, a.error = 9, Ia("TAGGING", 54), !0 } else { for (var c = !1, d = g(Object.keys(a)), e = d.next(); !e.done; e = d.next())c = Dn(a[e.value]) || c; return c } return !1 }
+  function Bn(a) { if (a.error) return a.error; if (!a.value) return Ia("TAGGING", 42), 2; var b = a.value, c; try { c = JSON.stringify(b) } catch (d) { return Ia("TAGGING", 52), 6 } try { k.localStorage.setItem("_gcl_ls", c) } catch (d) { return Ia("TAGGING", 53), 7 } return 0 }; function En() { if (!Fn()) return -1; var a = Gn(); return a !== -1 && Hn(a + 1) ? a + 1 : -1 } function Gn() { if (!Fn()) return -1; var a = Cn("gcl_ctr"); if (!a || a.error !== 0 || !a.value || typeof a.value !== "object") return -1; var b = a.value; try { if (!("value" in b && b.value) || typeof b.value !== "object") return -1; var c = b.value.value; return c == null || Number.isNaN(c) ? -1 : Number(c) } catch (d) { return -1 } } function Fn() { return Ei(["ad_storage", "ad_user_data"]) ? rd(11) : !1 }
+  function Hn(a, b) { b = b || {}; var c = cb(); return zn("gcl_ctr", { value: { value: a, creationTimeMs: c }, expires: Number(xn(b, c, !0).expires) }) === 0 ? !0 : !1 }; var In; function Jn() { function a(h) { c(h.target || h.srcElement || {}) } function b(h) { d(h.target || h.srcElement || {}) } var c = Kn, d = Ln, e = Mn(); if (!e.init) { Rb(x, "mousedown", a); Rb(x, "keyup", a); Rb(x, "submit", b); var f = HTMLFormElement.prototype.submit; HTMLFormElement.prototype.submit = function () { d(this); f.call(this) }; e.init = !0 } } function Nn(a, b, c, d, e) { var f = { callback: a, domains: b, fragment: c === 2, placement: c, forms: d, sameHost: e }; Mn().decorators.push(f) }
+  function On(a, b, c) { for (var d = Mn().decorators, e = {}, f = 0; f < d.length; ++f) { var h = d[f], l; if (l = !c || h.forms) a: { var m = h.domains, n = a, p = !!h.sameHost; if (m && (p || n !== x.location.hostname)) for (var q = 0; q < m.length; q++)if (m[q] instanceof RegExp) { if (m[q].test(n)) { l = !0; break a } } else if (n.indexOf(m[q]) >= 0 || p && m[q].indexOf(n) >= 0) { l = !0; break a } l = !1 } if (l) { var r = h.placement; r === void 0 && (r = h.fragment ? 2 : 1); r === b && fb(e, h.callback()) } } return e }
+  function Mn() { var a = Eb("google_tag_data", {}), b = a.gl; b && b.decorators || (b = { decorators: [] }, a.gl = b); return b }; var Pn = /(.*?)\*(.*?)\*(.*)/, Qn = /^https?:\/\/([^\/]*?)\.?cdn\.ampproject\.org\/?(.*)/, Rn = /^(?:www\.|m\.|amp\.)+/, Sn = /([^?#]+)(\?[^#]*)?(#.*)?/; function Tn(a) { var b = Sn.exec(a); if (b) return { Ai: b[1], query: b[2], fragment: b[3] } }
+  function Un(a, b) { var c = [Ab.userAgent, (new Date).getTimezoneOffset(), Ab.userLanguage || Ab.language, Math.floor(cb() / 60 / 1E3) - (b === void 0 ? 0 : b), a].join("*"), d; if (!(d = In)) { for (var e = Array(256), f = 0; f < 256; f++) { for (var h = f, l = 0; l < 8; l++)h = h & 1 ? h >>> 1 ^ 3988292384 : h >>> 1; e[f] = h } d = e } In = d; for (var m = 4294967295, n = 0; n < c.length; n++)m = m >>> 8 ^ In[(m ^ c.charCodeAt(n)) & 255]; return ((m ^ -1) >>> 0).toString(36) }
+  function Vn() { return function (a) { var b = Fg(k.location.href), c = b.search.replace("?", ""), d = xg(c, "_gl", !0) || ""; a.query = Wn(d) || {}; var e = zg(b, "fragment"), f; var h = -1; if (hb(e, "_gl=")) h = 4; else { var l = e.indexOf("&_gl="); l > 0 && (h = l + 3 + 2) } if (h < 0) f = void 0; else { var m = e.indexOf("&", h); f = m < 0 ? e.substring(h) : e.substring(h, m) } a.fragment = Wn(f || "") || {} } } function Xn(a) { var b = Vn(), c = Mn(); c.data || (c.data = { query: {}, fragment: {} }, b(c.data)); var d = {}, e = c.data; e && (fb(d, e.query), a && fb(d, e.fragment)); return d }
+  var Wn = function (a) { try { var b = Yn(a, 3); if (b !== void 0) { for (var c = {}, d = b ? b.split("*") : [], e = 0; e + 1 < d.length; e += 2) { var f = d[e], h = Fa(d[e + 1]); c[f] = h } Ia("TAGGING", 6); return c } } catch (l) { Ia("TAGGING", 8) } }; function Yn(a, b) { if (a) { var c; a: { for (var d = a, e = 0; e < 3; ++e) { var f = Pn.exec(d); if (f) { c = f; break a } d = decodeURIComponent(d) } c = void 0 } var h = c; if (h && h[1] === "1") { var l = h[3], m; a: { for (var n = h[2], p = 0; p < b; ++p)if (n === Un(l, p)) { m = !0; break a } m = !1 } if (m) return l; Ia("TAGGING", 7) } } }
+  function Zn(a, b, c, d, e) { function f(p) { var q = p, r = (new RegExp("(.*?)(^|&)" + a + "=([^&]*)&?(.*)")).exec(q), u = q; if (r) { var v = r[2], t = r[4]; u = r[1]; t && (u = u + v + t) } p = u; var w = p.charAt(p.length - 1); p && w !== "&" && (p += "&"); return p + n } d = d === void 0 ? !1 : d; e = e === void 0 ? !1 : e; var h = Tn(c); if (!h) return ""; var l = h.query || "", m = h.fragment || "", n = a + "=" + b; d ? m.substring(1).length !== 0 && e || (m = "#" + f(m.substring(1))) : l = "?" + f(l.substring(1)); return "" + h.Ai + l + m }
+  function $n(a, b) {
+    function c(n, p, q) { var r; a: { for (var u in n) if (n.hasOwnProperty(u)) { r = !0; break a } r = !1 } if (r) { var v, t = [], w; for (w in n) if (n.hasOwnProperty(w)) { var y = n[w]; y !== void 0 && y === y && y !== null && y.toString() !== "[object Object]" && (t.push(w), t.push(Ea(String(y)))) } var z = t.join("*"); v = ["1", Un(z), z].join("*"); d ? (rd(3) || rd(1) || !p) && ao("_gl", v, a, p, q) : bo("_gl", v, a, p, q) } } var d = (a.tagName || "").toUpperCase() === "FORM", e = On(b, 1, d), f = On(b, 2, d), h = On(b, 4, d), l = On(b, 3, d); c(e, !1, !1); c(f, !0, !1); rd(1) && c(h, !0, !0); for (var m in l) l.hasOwnProperty(m) &&
+      co(m, l[m], a)
+  } function co(a, b, c) { c.tagName.toLowerCase() === "a" ? bo(a, b, c) : c.tagName.toLowerCase() === "form" && ao(a, b, c) } function bo(a, b, c, d, e) { d = d === void 0 ? !1 : d; e = e === void 0 ? !1 : e; var f; if (f = c.href) { var h; if (!(h = !rd(5) || d)) { var l = k.location.href, m = Tn(c.href), n = Tn(l); h = !(m && n && m.Ai === n.Ai && m.query === n.query && m.fragment) } f = h } if (f) { var p = Zn(a, b, c.href, d, e); vb.test(p) && (c.href = p) } }
+  function ao(a, b, c, d, e) { d = d === void 0 ? !1 : d; e = e === void 0 ? !1 : e; if (c) { var f = c.getAttribute("action") || ""; if (f) { var h = (c.method || "").toLowerCase(); if (h !== "get" || d) { if (h === "get" || h === "post") { var l = Zn(a, b, f, d, e); vb.test(l) && (c.action = l) } } else { for (var m = c.childNodes || [], n = !1, p = 0; p < m.length; p++) { var q = m[p]; if (q.name === a) { q.setAttribute("value", b); n = !0; break } } if (!n) { var r = x.createElement("input"); r.setAttribute("type", "hidden"); r.setAttribute("name", a); r.setAttribute("value", b); c.appendChild(r) } } } } }
+  function Kn(a) { try { var b; a: { for (var c = a, d = 100; c && d > 0;) { if (c.href && c.nodeName.match(/^a(?:rea)?$/i)) { b = c; break a } c = c.parentNode; d-- } b = null } var e = b; if (e) { var f = e.protocol; f !== "http:" && f !== "https:" || $n(e, e.hostname) } } catch (h) { } } function Ln(a) { try { var b = a.getAttribute("action"); if (b) { var c = zg(Fg(b), "host"); $n(a, c) } } catch (d) { } } function eo(a, b, c, d) { Jn(); var e = c === "fragment" ? 2 : 1; d = !!d; Nn(a, b, e, d, !1); e === 2 && Ia("TAGGING", 23); d && Ia("TAGGING", 24) }
+  function fo(a, b) { Jn(); Nn(a, [Bg(k.location, "host", !0)], b, !0, !0) } function go() { var a = x.location.hostname, b = Qn.exec(x.referrer); if (!b) return !1; var c = b[2], d = b[1], e = ""; if (c) { var f = c.split("/"), h = f[1]; e = h === "s" ? decodeURIComponent(f[2]) : decodeURIComponent(h) } else if (d) { if (d.indexOf("xn--") === 0) return !1; e = d.replace(/-/g, ".").replace(/\.\./g, "-") } var l = a.replace(Rn, ""), m = e.replace(Rn, ""), n; if (!(n = l === m)) { var p = "." + m; n = l.length >= p.length && l.substring(l.length - p.length, l.length) === p } return n }
+  function ho(a, b) { return a === !1 ? !1 : a || b || go() }; var io = ["1"], jo = {}, ko = {}; function lo(a, b) { b = b === void 0 ? !0 : b; var c = mo(a.prefix); if (jo[c]) no(a); else if (oo(c, a.path, a.domain)) { var d = ko[mo(a.prefix)] || { id: void 0, Ig: void 0 }; b && po(a, d.id, d.Ig); no(a) } else { var e = Hg("auiddc"); e ? (Ia("TAGGING", 17), jo[c] = e) : b && (qo(mo(a.prefix), wn(), a), oo(c, a.path, a.domain), no(a, !0)) } }
+  function no(a, b) { if ((b === void 0 ? 0 : b) && Fn()) { var c = An(!1); c.error !== 0 ? Ia("TAGGING", 38) : c.value ? "gcl_ctr" in c.value ? (delete c.value.gcl_ctr, Bn(c) !== 0 && Ia("TAGGING", 41)) : Ia("TAGGING", 40) : Ia("TAGGING", 39) } Ei(["ad_storage", "ad_user_data"]) && rd(10) && Gn() === -1 && Hn(0, a) } function po(a, b, c) { var d = mo(a.prefix), e = jo[d]; if (e) { var f = e.split("."); if (f.length === 2) { var h = Number(f[1]) || 0; if (h) { var l = e; b && (l = e + "." + b + "." + (c ? c : Math.floor(cb() / 1E3))); qo(d, l, a, h * 1E3) } } } }
+  function qo(a, b, c, d) { var e = ["1", un(c.domain, c.path), b].join("."), f = xn(c, d); f.Fb = ro(); pn(a, e, f) } function oo(a, b, c) { var d = fn(a, sn(b), tn(c), io, ro()); if (!d) return !1; so(a, d); return !0 } function so(a, b) { var c = b.split("."); c.length === 5 ? (jo[a] = c.slice(0, 2).join("."), ko[a] = { id: c.slice(2, 4).join("."), Ig: Number(c[4]) || 0 }) : c.length === 3 ? ko[a] = { id: c.slice(0, 2).join("."), Ig: Number(c[2]) || 0 } : jo[a] = b } function mo(a) { return (a || "_gcl") + "_au" }
+  function to(a) { function b() { Ei(c) && a() } var c = ro(); Li(function () { b(); Ei(c) || Mi(b, c) }, c) } function uo(a) { var b = Xn(!0), c = mo(a.prefix); to(function () { var d = b[c]; if (d) { so(c, d); var e = Number(jo[c].split(".")[1]) * 1E3; if (e) { Ia("TAGGING", 16); var f = xn(a, e); f.Fb = ro(); pn(c, ["1", un(a.domain, a.path), d].join("."), f) } } }) } function vo(a, b, c, d, e) { e = e || {}; var f = function () { var h = {}, l = fn(a, sn(e.path), tn(e.domain), io, ro()); l && (h[a] = l); return h }; to(function () { eo(f, b, c, d) }) }
+  function ro() { return ["ad_storage", "ad_user_data"] }; function wo(a) { for (var b = [], c = x.cookie.split(";"), d = new RegExp("^\\s*" + (a || "_gac") + "_(UA-\\d+-\\d+)=\\s*(.+?)\\s*$"), e = 0; e < c.length; e++) { var f = c[e].match(d); f && b.push({ Ii: f[1], value: f[2], timestamp: Number(f[2].split(".")[1]) || 0 }) } b.sort(function (h, l) { return l.timestamp - h.timestamp }); return b }
+  function xo(a, b) { var c = wo(a), d = {}; if (!c || !c.length) return d; for (var e = 0; e < c.length; e++) { var f = c[e].value.split("."); if (!(f[0] !== "1" || b && f.length < 3 || !b && f.length !== 3) && Number(f[1])) { d[c[e].Ii] || (d[c[e].Ii] = []); var h = { version: f[0], timestamp: Number(f[1]) * 1E3, gclid: f[2] }; b && f.length > 3 && (h.labels = f.slice(3)); d[c[e].Ii].push(h) } } return d }; var yo = {}, zo = (yo.k = { la: /^[\w-]+$/ }, yo.b = { la: /^[\w-]+$/, Ei: !0 }, yo.i = { la: /^[1-9]\d*$/ }, yo.h = { la: /^\d+$/ }, yo.t = { la: /^[1-9]\d*$/ }, yo.d = { la: /^[A-Za-z0-9_-]+$/ }, yo.j = { la: /^\d+$/ }, yo.u = { la: /^[1-9]\d*$/ }, yo.l = { la: /^[01]$/ }, yo.o = { la: /^[1-9]\d*$/ }, yo.g = { la: /^[01]$/ }, yo.s = { la: /^.+$/ }, yo); var Ao = {}, Eo = (Ao[5] = { Mg: { 2: Bo }, si: "2", yg: ["k", "i", "b", "u"] }, Ao[4] = { Mg: { 2: Bo, GCL: Co }, si: "2", yg: ["k", "i", "b"] }, Ao[2] = { Mg: { GS2: Bo, GS1: Do }, si: "GS2", yg: "sogtjlhd".split("") }, Ao); function Fo(a, b, c) { var d = Eo[b]; if (d) { var e = a.split(".")[0]; c == null || c(e); if (e) { var f = d.Mg[e]; if (f) return f(a, b) } } }
+  function Bo(a, b) { var c = a.split("."); if (c.length === 3) { var d = c[2]; if (d.indexOf("$") === -1 && d.indexOf("%24") !== -1) try { d = decodeURIComponent(d) } catch (u) { } var e = {}, f = Eo[b]; if (f) { for (var h = f.yg, l = g(d.split("$")), m = l.next(); !m.done; m = l.next()) { var n = m.value, p = n[0]; if (h.indexOf(p) !== -1) try { var q = decodeURIComponent(n.substring(1)), r = zo[p]; r && (r.Ei ? (e[p] = e[p] || [], e[p].push(q)) : e[p] = q) } catch (u) { } } return e } } } function Go(a, b, c) { var d = Eo[b]; if (d) return [d.si, c || "1", Ho(a, b)].join(".") }
+  function Ho(a, b) { var c = Eo[b]; if (c) { for (var d = [], e = g(c.yg), f = e.next(); !f.done; f = e.next()) { var h = f.value, l = zo[h]; if (l) { var m = a[h]; if (m !== void 0) if (l.Ei && Array.isArray(m)) for (var n = g(m), p = n.next(); !p.done; p = n.next())d.push(encodeURIComponent("" + h + p.value)); else d.push(encodeURIComponent("" + h + m)) } } return d.join("$") } } function Co(a) { var b = a.split("."); b.shift(); var c = b.shift(), d = b.shift(), e = {}; return e.k = d, e.i = c, e.b = b, e }
+  function Do(a) { var b = a.split(".").slice(2); if (!(b.length < 5 || b.length > 7)) { var c = {}; return c.s = b[0], c.o = b[1], c.g = b[2], c.t = b[3], c.j = b[4], c.l = b[5], c.h = b[6], c } }; var Io = new Map([[5, "ad_storage"], [4, ["ad_storage", "ad_user_data"]], [2, "analytics_storage"]]); function Jo(a, b, c) { if (Eo[b]) { for (var d = [], e = cn(a, void 0, void 0, Io.get(b)), f = g(e), h = f.next(); !h.done; h = f.next()) { var l = Fo(h.value, b, c); l && d.push(Ko(l)) } return d } } function Lo(a, b, c, d, e) { d = d || {}; var f = Go(b, c, un(d.domain, d.path)); if (!f) return 1; var h = xn(d, e, void 0, Io.get(c)); return pn(a, f, h) } function Mo(a, b) { var c = b.la; return typeof c === "function" ? c(a) : c.test(a) }
+  function Ko(a) { for (var b = g(Object.keys(a)), c = b.next(), d = {}; !c.done; d = { Se: void 0 }, c = b.next()) { var e = c.value, f = a[e]; d.Se = zo[e]; d.Se ? d.Se.Ei ? a[e] = Array.isArray(f) ? f.filter(function (h) { return function (l) { return Mo(l, h.Se) } }(d)) : void 0 : typeof f === "string" && Mo(f, d.Se) || (a[e] = void 0) : a[e] = void 0 } return a }; var No = function () { this.value = 0 }; No.prototype.set = function (a) { return this.value |= 1 << a }; var Oo = function (a, b) { b <= 0 || (a.value |= 1 << b - 1) }; No.prototype.get = function () { return this.value }; No.prototype.clear = function (a) { this.value &= ~(1 << a) }; No.prototype.clearAll = function () { this.value = 0 }; No.prototype.equals = function (a) { return this.value === a.value }; function Po() { var a = String, b = k.location.hostname, c = k.location.pathname, d = b = pb(b); d.split(".").length > 2 && (d = d.replace(/^(www[0-9]*|web|ftp|wap|home|m|w|amp|mobile)\./, "")); b = d; c = pb(c); var e = c.split(";")[0]; e = e.replace(/\/(ar|slp|web|index)?\/?$/, ""); return a(Vm(("" + b + e).toLowerCase())) }; var Qo = /^\w+$/, Ro = /^[\w-]+$/, So = {}, To = (So.aw = "_aw", So.dc = "_dc", So.gf = "_gf", So.gp = "_gp", So.gs = "_gs", So.ha = "_ha", So.ag = "_ag", So.gb = "_gb", So); function Uo() { return ["ad_storage", "ad_user_data"] } function Vo(a) { return !rd(8) || Ei(a) } function Wo(a, b) { function c() { var d = Vo(b); d && a(); return d } Li(function () { c() || Mi(c, b) }, b) } function Xo(a) { return Yo(a).map(function (b) { return b.gclid }) } function Zo(a) { return $o(a).filter(function (b) { return b.gclid }).map(function (b) { return b.gclid }) }
+  function $o(a) { var b = ap(a.prefix), c = bp("gb", b), d = bp("ag", b); if (!d || !c) return []; var e = function (l) { return function (m) { m.type = l; return m } }, f = Yo(c).map(e("gb")), h = cp(d).map(e("ag")); return f.concat(h).sort(function (l, m) { return m.timestamp - l.timestamp }) } function dp(a, b, c, d, e, f) { var h = Sa(a, function (l) { return l.gclid === c }); h ? (h.timestamp < d && (h.timestamp = d, h.Pc = f), h.labels = ep(h.labels || [], e || [])) : a.push({ version: b, gclid: c, timestamp: d, labels: e, Pc: f }) }
+  function cp(a) { for (var b = Jo(a, 5) || [], c = [], d = g(b), e = d.next(); !e.done; e = d.next()) { var f = e.value, h = f, l = h.k, m = h.b, n = fp(f); if (n) { var p = void 0; rd(9) && (p = f.u); dp(c, "2", l, n, m || [], p) } } return c.sort(function (q, r) { return r.timestamp - q.timestamp }) } function Yo(a) { for (var b = [], c = cn(a, x.cookie, void 0, Uo()), d = g(c), e = d.next(); !e.done; e = d.next()) { var f = gp(e.value); if (f != null) { var h = f; dp(b, h.version, h.gclid, h.timestamp, h.labels) } } b.sort(function (l, m) { return m.timestamp - l.timestamp }); return hp(b) }
+  function ip(a, b) { for (var c = [], d = g(a), e = d.next(); !e.done; e = d.next()) { var f = e.value; c.includes(f) || c.push(f) } for (var h = g(b), l = h.next(); !l.done; l = h.next()) { var m = l.value; c.includes(m) || c.push(m) } return c }
+  function jp(a, b, c) { c = c === void 0 ? !1 : c; for (var d, e, f = g(a), h = f.next(); !h.done; h = f.next()) { var l = h.value; if (l.gclid === b.gclid) { d = l; break } l.wa && b.wa && l.wa.equals(b.wa) && (e = l) } if (d) { var m, n, p = (m = d.wa) != null ? m : new No, q = (n = b.wa) != null ? n : new No; p.value |= q.value; d.wa = p; d.timestamp < b.timestamp && (d.timestamp = b.timestamp, d.Pc = b.Pc); d.labels = ip(d.labels || [], b.labels || []); d.pb = ip(d.pb || [], b.pb || []) } else c && e ? Object.assign(e, b) : a.push(b) }
+  function kp(a) { if (!a) return new No; var b = new No; if (a === 1) return Oo(b, 2), Oo(b, 3), b; Oo(b, a); return b }
+  function lp() { var a = Cn("gclid"); if (!a || a.error || !a.value || typeof a.value !== "object") return null; var b = a.value; try { if (!("value" in b && b.value) || typeof b.value !== "object") return null; var c = b.value, d = c.value; if (!d || !d.match(Ro)) return null; var e = c.linkDecorationSource, f = c.linkDecorationSources, h = new No; typeof e === "number" ? h = kp(e) : typeof f === "number" && (h.value = f); return { version: "", gclid: d, timestamp: Number(c.creationTimeMs) || 0, labels: [], wa: h, pb: [2] } } catch (l) { return null } }
+  function mp() { var a = Cn("gcl_aw"); if (a.error !== 0) return null; try { return a.value.reduce(function (b, c) { if (!c.value || typeof c.value !== "object") return b; var d = c.value, e = d.value; if (!e || !e.match(Ro)) return b; var f = new No, h = d.linkDecorationSources; typeof h === "number" && (f.value = h); b.push({ version: "", gclid: e, timestamp: Number(d.creationTimeMs) || 0, expires: Number(c.expires) || 0, labels: [], wa: f, pb: [2] }); return b }, []) } catch (b) { return null } }
+  function np(a) { for (var b = [], c = cn(a, x.cookie, void 0, Uo()), d = g(c), e = d.next(); !e.done; e = d.next()) { var f = gp(e.value); f != null && (f.Pc = void 0, f.wa = new No, f.pb = [1], jp(b, f)) } var h = lp(); h && (h.Pc = void 0, h.pb = h.pb || [2], jp(b, h)); if (rd(14)) { var l = mp(); if (l) for (var m = g(l), n = m.next(); !n.done; n = m.next()) { var p = n.value; p.Pc = void 0; p.pb = p.pb || [2]; jp(b, p) } } b.sort(function (q, r) { return r.timestamp - q.timestamp }); return hp(b) }
+  function ep(a, b) { if (!a.length) return b; if (!b.length) return a; var c = {}; return a.concat(b).filter(function (d) { return c.hasOwnProperty(d) ? !1 : c[d] = !0 }) } function ap(a) { return a && typeof a === "string" && a.match(Qo) ? a : "_gcl" }
+  function op(a, b, c) { var d = Fg(a), e = zg(d, "query", !1, void 0, "gclsrc"), f = { value: zg(d, "query", !1, void 0, "gclid"), wa: new No }; Oo(f.wa, c ? 4 : 2); if (b && (!f.value || !e)) { var h = d.hash.replace("#", ""); f.value || (f.value = xg(h, "gclid"), f.wa.clearAll(), Oo(f.wa, 3)); e || (e = xg(h, "gclsrc")) } return !f.value || e !== void 0 && e !== "aw" && e !== "aw.ds" ? [] : [f] }
+  function pp(a, b) { var c = Fg(a), d = zg(c, "query", !1, void 0, "gclid"), e = zg(c, "query", !1, void 0, "gclsrc"), f = zg(c, "query", !1, void 0, "wbraid"); f = mb(f); var h = zg(c, "query", !1, void 0, "gbraid"), l = zg(c, "query", !1, void 0, "gad_source"), m = zg(c, "query", !1, void 0, "dclid"); if (b && !(d && e && f && h)) { var n = c.hash.replace("#", ""); d = d || xg(n, "gclid"); e = e || xg(n, "gclsrc"); f = f || xg(n, "wbraid"); h = h || xg(n, "gbraid"); l = l || xg(n, "gad_source") } return qp(d, e, m, f, h, l) } function rp() { return pp(k.location.href, !0) }
+  function qp(a, b, c, d, e, f) { var h = {}, l = function (m, n) { h[n] || (h[n] = []); h[n].push(m) }; h.gclid = a; h.gclsrc = b; h.dclid = c; if (a !== void 0 && a.match(Ro)) switch (b) { case void 0: l(a, "aw"); break; case "aw.ds": l(a, "aw"); l(a, "dc"); break; case "ds": l(a, "dc"); break; case "3p.ds": l(a, "dc"); break; case "gf": l(a, "gf"); break; case "ha": l(a, "ha") }c && l(c, "dc"); d !== void 0 && Ro.test(d) && (h.wbraid = d, l(d, "gb")); e !== void 0 && Ro.test(e) && (h.gbraid = e, l(e, "ag")); f !== void 0 && Ro.test(f) && (h.gad_source = f, l(f, "gs")); return h }
+  function sp(a) { for (var b = rp(), c = !0, d = g(Object.keys(b)), e = d.next(); !e.done; e = d.next())if (b[e.value] !== void 0) { c = !1; break } c && (b = pp(k.document.referrer, !1), b.gad_source = void 0); tp(b, !1, a) }
+  function up(a) { sp(a); var b = op(k.location.href, !0, !1); b.length || (b = op(k.document.referrer, !1, !0)); if (b.length) { var c = b[0]; a = a || {}; var d = cb(), e = xn(a, d, !0), f = Uo(), h = function () { Vo(f) && e.expires !== void 0 && zn("gclid", { value: { value: c.value, creationTimeMs: d, linkDecorationSources: c.wa.get() }, expires: Number(e.expires) }) }; Li(function () { h(); Vo(f) || Mi(h, f) }, f) } }
+  function vp(a, b) { b = b || {}; var c = cb(), d = xn(b, c, !0), e = Uo(), f = function () { if (Vo(e) && d.expires !== void 0) { var h = mp() || []; jp(h, { version: "", gclid: a, timestamp: c, expires: Number(d.expires), wa: kp(5) }, !0); zn("gcl_aw", h.map(function (l) { return { value: { value: l.gclid, creationTimeMs: l.timestamp, linkDecorationSources: l.wa ? l.wa.get() : 0 }, expires: Number(l.expires) } })) } }; Li(function () { Vo(e) ? f() : Mi(f, e) }, e) }
+  function tp(a, b, c, d, e) {
+    c = c || {}; e = e || []; var f = ap(c.prefix), h = d || cb(), l = Math.round(h / 1E3), m = Uo(), n = !1, p = !1, q = function () {
+      if (Vo(m)) {
+        var r = xn(c, h, !0); r.Fb = m; for (var u = function (N, U) { var I = bp(N, f); I && (pn(I, U, r), N !== "gb" && (n = !0)) }, v = function (N) { var U = ["GCL", l, N]; e.length > 0 && U.push(e.join(".")); return U.join(".") }, t = g(["aw", "dc", "gf", "ha", "gp"]), w = t.next(); !w.done; w = t.next()) { var y = w.value; a[y] && u(y, v(a[y][0])) } if (!n && a.gb) {
+          var z = a.gb[0], C = bp("gb", f); !b && Yo(C).some(function (N) {
+            return N.gclid === z && N.labels &&
+              N.labels.length > 0
+          }) || u("gb", v(z))
+        }
+      } if (!p && a.gbraid && Vo("ad_storage") && (p = !0, !n)) { var B = a.gbraid, E = bp("ag", f); if (b || !cp(E).some(function (N) { return N.gclid === B && N.labels && N.labels.length > 0 })) { var K = {}, M = (K.k = B, K.i = "" + l, K.b = e, K); Lo(E, M, 5, c, h) } } wp(a, f, h, c)
+    }; Li(function () { q(); Vo(m) || Mi(q, m) }, m)
+  }
+  function wp(a, b, c, d) { if (a.gad_source !== void 0 && Vo("ad_storage")) { if (rd(4)) { var e = bc(); if (e === "r" || e === "h") return } var f = a.gad_source, h = bp("gs", b); if (h) { var l = Math.floor((cb() - (ac() || 0)) / 1E3), m; if (rd(9)) { var n = Po(), p = {}; m = (p.k = f, p.i = "" + l, p.u = n, p) } else { var q = {}; m = (q.k = f, q.i = "" + l, q) } Lo(h, m, 5, d, c) } } }
+  function xp(a, b) { var c = Xn(!0); Wo(function () { for (var d = ap(b.prefix), e = 0; e < a.length; ++e) { var f = a[e]; if (To[f] !== void 0) { var h = bp(f, d), l = c[h]; if (l) { var m = Math.min(yp(l), cb()), n; b: { for (var p = m, q = cn(h, x.cookie, void 0, Uo()), r = 0; r < q.length; ++r)if (yp(q[r]) > p) { n = !0; break b } n = !1 } if (!n) { var u = xn(b, m, !0); u.Fb = Uo(); pn(h, l, u) } } } } tp(qp(c.gclid, c.gclsrc), !1, b) }, Uo()) }
+  function zp(a) { var b = ["ag"], c = Xn(!0), d = ap(a.prefix); Wo(function () { for (var e = 0; e < b.length; ++e) { var f = bp(b[e], d); if (f) { var h = c[f]; if (h) { var l = Fo(h, 5); if (l) { var m = fp(l); m || (m = cb()); var n; a: { for (var p = m, q = Jo(f, 5), r = 0; r < q.length; ++r)if (fp(q[r]) > p) { n = !0; break a } n = !1 } if (n) break; l.i = "" + Math.round(m / 1E3); Lo(f, l, 5, a, m) } } } } }, ["ad_storage"]) } function bp(a, b) { var c = To[a]; if (c !== void 0) return b + c } function yp(a) { return Ap(a.split(".")).length !== 0 ? (Number(a.split(".")[1]) || 0) * 1E3 : 0 }
+  function fp(a) { return a ? (Number(a.i) || 0) * 1E3 : 0 } function gp(a) { var b = Ap(a.split(".")); return b.length === 0 ? null : { version: b[0], gclid: b[2], timestamp: (Number(b[1]) || 0) * 1E3, labels: b.slice(3) } } function Ap(a) { return a.length < 3 || a[0] !== "GCL" && a[0] !== "1" || !/^\d+$/.test(a[1]) || !Ro.test(a[2]) ? [] : a }
+  function Bp(a, b, c, d, e) { if (Array.isArray(b) && an(k)) { var f = ap(e), h = function () { for (var l = {}, m = 0; m < a.length; ++m) { var n = bp(a[m], f); if (n) { var p = cn(n, x.cookie, void 0, Uo()); p.length && (l[n] = p.sort()[p.length - 1]) } } return l }; Wo(function () { eo(h, b, c, d) }, Uo()) } }
+  function Cp(a, b, c, d) { if (Array.isArray(a) && an(k)) { var e = ["ag"], f = ap(d), h = function () { for (var l = {}, m = 0; m < e.length; ++m) { var n = bp(e[m], f); if (!n) return {}; var p = Jo(n, 5); if (p.length) { var q = p.sort(function (r, u) { return fp(u) - fp(r) })[0]; l[n] = Go(q, 5) } } return l }; Wo(function () { eo(h, a, b, c) }, ["ad_storage"]) } } function hp(a) { return a.filter(function (b) { return Ro.test(b.gclid) }) }
+  function Dp(a, b) { if (an(k)) { for (var c = ap(b.prefix), d = {}, e = 0; e < a.length; e++)To[a[e]] && (d[a[e]] = To[a[e]]); Wo(function () { Wa(d, function (f, h) { var l = cn(c + h, x.cookie, void 0, Uo()); l.sort(function (u, v) { return yp(v) - yp(u) }); if (l.length) { var m = l[0], n = yp(m), p = Ap(m.split(".")).length !== 0 ? m.split(".").slice(3) : [], q = {}, r; r = Ap(m.split(".")).length !== 0 ? m.split(".")[2] : void 0; q[f] = [r]; tp(q, !0, b, n, p) } }) }, Uo()) } }
+  function Ep(a) { var b = ["ag"], c = ["gbraid"]; Wo(function () { for (var d = ap(a.prefix), e = 0; e < b.length; ++e) { var f = bp(b[e], d); if (!f) break; var h = Jo(f, 5); if (h.length) { var l = h.sort(function (q, r) { return fp(r) - fp(q) })[0], m = fp(l), n = l.b, p = {}; p[c[e]] = l.k; tp(p, !0, a, m, n) } } }, ["ad_storage"]) } function Fp(a, b) { for (var c = 0; c < b.length; ++c)if (a[b[c]]) return !0; return !1 }
+  function Gp(a) { function b(l, m, n) { n && (l[m] = n) } if (Ii()) { var c = rp(), d; a.includes("gad_source") && (d = c.gad_source !== void 0 ? c.gad_source : Xn(!1)._gs); if (Fp(c, a) || d) { var e = {}; b(e, "gclid", c.gclid); b(e, "dclid", c.dclid); b(e, "gclsrc", c.gclsrc); b(e, "wbraid", c.wbraid); b(e, "gbraid", c.gbraid); fo(function () { return e }, 3); var f = {}, h = (f._up = "1", f); b(h, "_gs", d); fo(function () { return h }, 1) } } }
+  function Hp(a) { if (!rd(1)) return null; var b = Xn(!0).gad_source; if (b != null) return k.location.hash = "", b; if (rd(2)) { var c = Fg(k.location.href); b = zg(c, "query", !1, void 0, "gad_source"); if (b != null) return b; var d = rp(); if (Fp(d, a)) return "0" } return null } function Ip(a) { var b = Hp(a); b != null && fo(function () { var c = {}; return c.gad_source = b, c }, 4) }
+  function Jp(a, b, c) { var d = []; if (b.length === 0) return d; for (var e = {}, f = 0; f < b.length; f++) { var h = b[f], l = h.type ? h.type : "gcl"; (h.labels || []).indexOf(c) === -1 ? (a.push(0), e[l] || d.push(h)) : a.push(1); e[l] = !0 } return d } function Kp(a, b, c, d) { var e = []; c = c || {}; if (!Vo(Uo())) return e; var f = Yo(a), h = Jp(e, f, b); if (h.length && !d) for (var l = g(h), m = l.next(); !m.done; m = l.next()) { var n = m.value, p = n.timestamp, q = [n.version, Math.round(p / 1E3), n.gclid].concat(n.labels || [], [b]).join("."), r = xn(c, p, !0); r.Fb = Uo(); pn(a, q, r) } return e }
+  function Lp(a, b) { var c = []; b = b || {}; var d = $o(b), e = Jp(c, d, a); if (e.length) for (var f = g(e), h = f.next(); !h.done; h = f.next()) { var l = h.value, m = ap(b.prefix), n = bp(l.type, m); if (!n) break; var p = l, q = p.version, r = p.gclid, u = p.labels, v = p.timestamp, t = Math.round(v / 1E3); if (l.type === "ag") { var w = {}, y = (w.k = r, w.i = "" + t, w.b = (u || []).concat([a]), w); Lo(n, y, 5, b, v) } else if (l.type === "gb") { var z = [q, t, r].concat(u || [], [a]).join("."), C = xn(b, v, !0); C.Fb = Uo(); pn(n, z, C) } } return c }
+  function Mp(a, b) { var c = ap(b), d = bp(a, c); if (!d) return 0; var e; e = a === "ag" ? cp(d) : Yo(d); for (var f = 0, h = 0; h < e.length; h++)f = Math.max(f, e[h].timestamp); return f } function Np(a) { for (var b = 0, c = g(Object.keys(a)), d = c.next(); !d.done; d = c.next())for (var e = a[d.value], f = 0; f < e.length; f++)b = Math.max(b, Number(e[f].timestamp)); return b } function Op(a) { var b = Math.max(Mp("aw", a), Np(Vo(Uo()) ? xo() : {})), c = Math.max(Mp("gb", a), Np(Vo(Uo()) ? xo("_gac_gb", !0) : {})); c = Math.max(c, Mp("ag", a)); return c > b }; function dq() { return Gk("dedupe_gclid", function () { return wn() }) }; var eq = /^(www\.)?google(\.com?)?(\.[a-z]{2}t?)?$/, fq = /^www.googleadservices.com$/; function gq(a) { a || (a = hq()); return a.Mo ? !1 : a.Nn || a.On || a.Rn || a.Pn || a.Ue || a.Bn || a.Qn || a.Fn ? !0 : !1 } function hq() { var a = {}, b = Xn(!0); a.Mo = !!b._up; var c = rp(); a.Nn = c.aw !== void 0; a.On = c.dc !== void 0; a.Rn = c.wbraid !== void 0; a.Pn = c.gbraid !== void 0; a.Qn = c.gclsrc === "aw.ds"; a.Ue = Rp().Ue; var d = x.referrer ? zg(Fg(x.referrer), "host") : ""; a.Fn = eq.test(d); a.Bn = fq.test(d); return a }; function iq(a) { var b = window, c = b.webkit; delete b.webkit; a(b.webkit); b.webkit = c } function jq(a) { var b = { action: "gcl_setup" }; if ("CWVWebViewMessage" in a.messageHandlers) return a.messageHandlers.CWVWebViewMessage.postMessage({ command: "awb", payload: b }), !0; var c = a.messageHandlers.awb; return c ? (c.postMessage(b), !0) : !1 }; function kq() { return ["ad_storage", "ad_user_data"] } function lq(a) { if (F(38) && !Cj(xj.jk) && "webkit" in window && window.webkit.messageHandlers) { var b = function () { try { iq(function (c) { c && ("CWVWebViewMessage" in c.messageHandlers || "awb" in c.messageHandlers) && (Bj(xj.jk, function (d) { d.gclid && vp(d.gclid, a) }), jq(c) || J(178)) }) } catch (c) { J(177) } }; Li(function () { Vo(kq()) ? b() : Mi(b, kq()) }, kq()) } }; var mq = ["https://www.google.com", "https://www.youtube.com", "https://m.youtube.com"];
+  function nq() { if (F(119)) { if (Cj(xj.Me)) return J(176), xj.Me; if (Cj(xj.nk)) return J(170), xj.Me; var a = lh(); if (!a) J(171); else if (a.opener) { var b = function (e) { if (mq.includes(e.origin)) { e.data.action === "gcl_transfer" && e.data.gadSource ? Bj(xj.Me, { gadSource: e.data.gadSource }) : J(173); var f; (f = e.stopImmediatePropagation) == null || f.call(e); $l(a, "message", b) } else J(172) }; if (Zl(a, "message", b)) { Bj(xj.nk, !0); for (var c = g(mq), d = c.next(); !d.done; d = c.next())a.opener.postMessage({ action: "gcl_setup" }, d.value); J(174); return xj.Me } J(175) } } }
+  ; var oq = function () { this.F = this.gppString = void 0 }; oq.prototype.reset = function () { this.F = this.gppString = void 0 }; var pq = new oq; var qq = RegExp("^UA-\\d+-\\d+%3A[\\w-]+(?:%2C[\\w-]+)*(?:%3BUA-\\d+-\\d+%3A[\\w-]+(?:%2C[\\w-]+)*)*$"), rq = /^~?[\w-]+(?:\.~?[\w-]+)*$/, sq = /^\d+\.fls\.doubleclick\.net$/, tq = /;gac=([^;?]+)/, uq = /;gacgb=([^;?]+)/;
+  function vq(a, b) { if (sq.test(x.location.host)) { var c = x.location.href.match(b); return c && c.length === 2 && c[1].match(qq) ? yg(c[1]) || "" : "" } for (var d = [], e = g(Object.keys(a)), f = e.next(); !f.done; f = e.next()) { for (var h = f.value, l = [], m = a[h], n = 0; n < m.length; n++)l.push(m[n].gclid); d.push(h + ":" + l.join(",")) } return d.length > 0 ? d.join(";") : "" }
+  function wq(a, b, c) { for (var d = Vo(Uo()) ? xo("_gac_gb", !0) : {}, e = [], f = !1, h = g(Object.keys(d)), l = h.next(); !l.done; l = h.next()) { var m = l.value, n = Kp("_gac_gb_" + m, a, b, c); f = f || n.length !== 0 && n.some(function (p) { return p === 1 }); e.push(m + ":" + n.join(",")) } return { An: f ? e.join(";") : "", zn: vq(d, uq) } } function xq(a) { var b = x.location.href.match(new RegExp(";" + a + "=([^;?]+)")); return b && b.length === 2 && b[1].match(rq) ? b[1] : void 0 }
+  function yq(a) { var b = rd(9), c = {}, d, e, f; sq.test(x.location.host) && (d = xq("gclgs"), e = xq("gclst"), b && (f = xq("gcllp"))); if (d && e && (!b || f)) c.Dg = d, c.Fg = e, c.Eg = f; else { var h = cb(), l = cp((a || "_gcl") + "_gs"), m = l.map(function (q) { return q.gclid }), n = l.map(function (q) { return h - q.timestamp }), p = []; b && (p = l.map(function (q) { return q.Pc })); m.length > 0 && n.length > 0 && (!b || p.length > 0) && (c.Dg = m.join("."), c.Fg = n.join("."), b && p.length > 0 && (c.Eg = p.join("."))) } return c }
+  function zq(a, b, c, d) { d = d === void 0 ? !1 : d; if (sq.test(x.location.host)) { var e = xq(c); if (e) { if (d) { var f = new No; Oo(f, 2); Oo(f, 3); return e.split(".").map(function (l) { return { gclid: l, wa: f, pb: [1] } }) } return e.split(".").map(function (l) { return { gclid: l } }) } } else { if (b === "gclid") { var h = (a || "_gcl") + "_aw"; return d ? np(h) : Yo(h) } if (b === "wbraid") return Yo((a || "_gcl") + "_gb"); if (b === "braids") return $o({ prefix: a }) } return [] } function Aq(a) { return sq.test(x.location.host) ? !(xq("gclaw") || xq("gac")) : Op(a) }
+  function Bq(a, b, c) { var d; d = c ? Lp(a, b) : Kp((b && b.prefix || "_gcl") + "_gb", a, b); return d.length === 0 || d.every(function (e) { return e === 0 }) ? "" : d.join(".") }; function Cq() { var a = k.__uspapi; if (Oa(a)) { var b = ""; try { a("getUSPData", 1, function (c, d) { if (d && c) { var e = c.uspString; e && RegExp("^[\\da-zA-Z-]{1,20}$").test(e) && (b = e) } }) } catch (c) { } return b } }; function Pq(a) { var b = L(a.D, G.m.ic), c = L(a.D, G.m.hc); b && !c ? (a.eventName !== G.m.ma && a.eventName !== G.m.ed && J(131), a.isAborted = !0) : !b && c && (J(132), a.isAborted = !0) } function Qq(a) { var b = O(G.m.T) ? Fk.pscdl : "denied"; b != null && W(a, G.m.Df, b) }
+  function Rq(a) { var b = jh(!0); W(a, G.m.fc, b) } function Sq(a) { Rm() && W(a, G.m.od, 1) } function Gq() { var a = x.title; if (a === void 0 || a === "") return ""; a = encodeURIComponent(a); for (var b = 256; b > 0 && yg(a.substring(0, b)) === void 0;)b--; return yg(a.substring(0, b)) || "" } function Tq(a) { Uq(a, "ce", L(a.D, G.m.fb)) } function Uq(a, b, c) { Fq(a, G.m.sd) || W(a, G.m.sd, {}); Fq(a, G.m.sd)[b] = c } function Vq(a) { V(a, P.C.Oe, vi.W.Wa) } function Wq(a) { var b = Ja("GTAG_EVENT_FEATURE_CHANNEL"); b && (W(a, G.m.ke, b), Ha.GTAG_EVENT_FEATURE_CHANNEL = Cf) }
+  function Xq(a) { var b = gl(a.D, G.m.Ob); b && W(a, G.m.Ob, b) } function Yq(a, b) { b = b === void 0 ? !1 : b; if (F(108)) { var c = S(a, P.C.Ne); if (c) if (c.indexOf(a.target.destinationId) < 0) { if (V(a, P.C.Ji, !1), b || !Zq(a, "custom_event_accept_rules", !1)) a.isAborted = !0 } else V(a, P.C.Ji, !0) } }; function gr(a, b, c, d) { var e = Nb(), f; if (e === 1) a: { var h = Uf; h = h.toLowerCase(); for (var l = "https://" + h, m = "http://" + h, n = 1, p = x.getElementsByTagName("script"), q = 0; q < p.length && q < 100; q++) { var r = p[q].src; if (r) { r = r.toLowerCase(); if (r.indexOf(m) === 0) { f = 3; break a } n === 1 && r.indexOf(l) === 0 && (n = 2) } } f = n } else f = e; return (f === 2 || d || "http:" !== k.location.protocol ? a : b) + c }; function sr(a) {
+    return {
+      getDestinationId: function () { return a.target.destinationId }, getEventName: function () { return a.eventName }, setEventName: function (b) { a.eventName = b }, getHitData: function (b) { return Fq(a, b) }, setHitData: function (b, c) { W(a, b, c) }, setHitDataIfNotDefined: function (b, c) { Fq(a, b) === void 0 && W(a, b, c) }, copyToHitData: function (b, c) { a.copyToHitData(b, c) }, getMetadata: function (b) { return S(a, b) }, setMetadata: function (b, c) { V(a, b, c) }, isAborted: function () { return a.isAborted }, abort: function () { a.isAborted = !0 },
+      getFromEventContext: function (b) { return L(a.D, b) }, Kp: function () { return a }, getHitKeys: function () { return Object.keys(a.F) }
+    }
+  }; function yr(a, b) { return arguments.length === 1 ? zr("set", a) : zr("set", a, b) } function Ar(a, b) { return arguments.length === 1 ? zr("config", a) : zr("config", a, b) } function Br(a, b, c) { c = c || {}; c[G.m.Cc] = a; return zr("event", b, c) } function zr() { return arguments }; var Dr = function () { this.messages = []; this.F = [] }; Dr.prototype.enqueue = function (a, b, c) { var d = this.messages.length + 1; a["gtm.uniqueEventId"] = b; a["gtm.priorityId"] = d; var e = Object.assign({}, c, { eventId: b, priorityId: d, fromContainerExecution: !0 }), f = { message: a, notBeforeEventId: b, priorityId: d, messageContext: e }; this.messages.push(f); for (var h = 0; h < this.F.length; h++)try { this.F[h](f) } catch (l) { } }; Dr.prototype.listen = function (a) { this.F.push(a) };
+  Dr.prototype.get = function () { for (var a = {}, b = 0; b < this.messages.length; b++) { var c = this.messages[b], d = a[c.notBeforeEventId]; d || (d = [], a[c.notBeforeEventId] = d); d.push(c) } return a }; Dr.prototype.prune = function (a) { for (var b = [], c = [], d = 0; d < this.messages.length; d++) { var e = this.messages[d]; e.notBeforeEventId === a ? b.push(e) : c.push(e) } this.messages = c; return b }; function Er(a, b, c) { c.eventMetadata = c.eventMetadata || {}; c.eventMetadata[P.C.jb] = Vh.canonicalContainerId; Fr().enqueue(a, b, c) }
+  function Gr() { var a = Hr; Fr().listen(a) } function Fr() { return Gk("mb", function () { return new Dr }) }; var Ir, Jr = !1; function Kr(a) { if (!Jr) { Jr = !0; Ir = Ir || {} } return Ir[a] }; function Lr() { var a = k.screen; return { width: a ? a.width : 0, height: a ? a.height : 0 } }
+  function Mr(a) {
+    if (x.hidden) return !0; var b = a.getBoundingClientRect(); if (b.top === b.bottom || b.left === b.right || !k.getComputedStyle) return !0; var c = k.getComputedStyle(a, null); if (c.visibility === "hidden") return !0; for (var d = a, e = c; d;) {
+      if (e.display === "none") return !0; var f = e.opacity, h = e.filter; if (h) { var l = h.indexOf("opacity("); l >= 0 && (h = h.substring(l + 8, h.indexOf(")", l)), h.charAt(h.length - 1) === "%" && (h = h.substring(0, h.length - 1)), f = String(Math.min(Number(h), Number(f)))) } if (f !== void 0 && Number(f) <= 0) return !0; (d = d.parentElement) &&
+        (e = k.getComputedStyle(d, null))
+    } return !1
+  } var Rs = Number('') || 5, Ss = Number('') || 50, Ts = Ta();
+  var Vs = function (a, b) { a && (Us("sid", a.targetId, b), Us("cc", a.clientCount, b), Us("tl", a.totalLifeMs, b), Us("hc", a.heartbeatCount, b), Us("cl", a.clientLifeMs, b)) }, Us = function (a, b, c) { b != null && c.push(a + "=" + b) }, Ws = function () { var a = x.referrer; if (a) { var b; return zg(Fg(a), "host") === ((b = k.location) == null ? void 0 : b.host) ? 1 : 2 } return 0 }, Ys = function () { this.P = Xs; this.N = 0 }; Ys.prototype.K = function (a, b, c, d) {
+    var e = Ws(), f, h = []; f = k === k.top && e !== 0 && b ? (b == null ? void 0 : b.clientCount) >
+      1 ? e === 2 ? 1 : 2 : e === 2 ? 0 : 3 : 4; a && Us("si", a.af, h); Us("m", 0, h); Us("iss", f, h); Us("if", c, h); Vs(b, h); d && Us("fm", encodeURIComponent(d.substring(0, Ss)), h); this.O(h);
+  }; Ys.prototype.F = function (a, b, c, d, e) { var f = []; Us("m", 1, f); Us("s", a, f); Us("po", Ws(), f); b && (Us("st", b.state, f), Us("si", b.af, f), Us("sm", b.jf, f)); Vs(c, f); Us("c", d, f); e && Us("fm", encodeURIComponent(e.substring(0, Ss)), f); this.O(f); };
+  Ys.prototype.O = function (a) { a = a === void 0 ? [] : a; !Vg || this.N >= Rs || (Us("pid", Ts, a), Us("bc", ++this.N, a), a.unshift("ctid=" + Vh.ctid + "&t=s"), this.P("https://www.googletagmanager.com/a?" + a.join("&"))) }; var Zs = Number('') || 500, $s = Number('') || 5E3, at = Number('20') || 10, bt = Number('') || 5E3; function ct(a) { return a.performance && a.performance.now() || Date.now() }
+  var dt = function (a, b) {
+    var c; var d = function (e, f, h) { h = h === void 0 ? { Tk: function () { }, Uk: function () { }, Sk: function () { }, onFailure: function () { } } : h; this.Qm = e; this.F = f; this.N = h; this.ba = this.fa = this.heartbeatCount = this.Pm = 0; this.rg = !1; this.K = {}; this.id = String(Math.floor(Number.MAX_SAFE_INTEGER * Math.random())); this.state = 0; this.af = ct(this.F); this.jf = ct(this.F); this.P = 10 }; d.prototype.init = function () { this.O(1); this.Ga() }; d.prototype.getState = function () {
+      return {
+        state: this.state,
+        af: Math.round(ct(this.F) - this.af), jf: Math.round(ct(this.F) - this.jf)
+      }
+    }; d.prototype.O = function (e) { this.state !== e && (this.state = e, this.jf = ct(this.F)) }; d.prototype.Dk = function () { return String(this.Pm++) }; d.prototype.Ga = function () {
+      var e = this; this.heartbeatCount++; this.ib({ type: 0, clientId: this.id, requestId: this.Dk(), maxDelay: this.vg() }, function (f) {
+        if (f.type === 0) {
+          var h; if (((h = f.failure) == null ? void 0 : h.failureType) != null) if (f.stats && (e.stats = f.stats), e.ba++, f.isDead || e.ba > at) {
+            var l = f.isDead && f.failure.failureType;
+            e.P = l || 10; e.O(4); e.Nm(); var m, n; (n = (m = e.N).Sk) == null || n.call(m, { failureType: l || 10, data: f.failure.data })
+          } else e.O(3), e.Fk(); else { if (e.heartbeatCount > f.stats.heartbeatCount + at) { e.heartbeatCount = f.stats.heartbeatCount; var p, q; (q = (p = e.N).onFailure) == null || q.call(p, { failureType: 13 }) } e.stats = f.stats; var r = e.state; e.O(2); if (r !== 2) if (e.rg) { var u, v; (v = (u = e.N).Uk) == null || v.call(u) } else { e.rg = !0; var t, w; (w = (t = e.N).Tk) == null || w.call(t) } e.ba = 0; e.Rm(); e.Fk() }
+        }
+      })
+    }; d.prototype.vg = function () {
+      return this.state === 2 ?
+        $s : Zs
+    }; d.prototype.Fk = function () { var e = this; this.F.setTimeout(function () { e.Ga() }, Math.max(0, this.vg() - (ct(this.F) - this.fa))) }; d.prototype.Um = function (e, f, h) { var l = this; this.ib({ type: 1, clientId: this.id, requestId: this.Dk(), command: e }, function (m) { if (m.type === 1) if (m.result) f(m.result); else { var n, p, q, r = { failureType: (q = (n = m.failure) == null ? void 0 : n.failureType) != null ? q : 12, data: (p = m.failure) == null ? void 0 : p.data }, u, v; (v = (u = l.N).onFailure) == null || v.call(u, r); h(r) } }) }; d.prototype.ib = function (e, f) {
+      var h = this;
+      if (this.state === 4) e.failure = { failureType: this.P }, f(e); else { var l = this.state !== 2 && e.type !== 0, m = e.requestId, n, p = this.F.setTimeout(function () { var r = h.K[m]; r && h.Ke(r, 7) }, (n = e.maxDelay) != null ? n : bt), q = { request: e, il: f, Zk: l, co: p }; this.K[m] = q; l || this.sendRequest(q) }
+    }; d.prototype.sendRequest = function (e) { this.fa = ct(this.F); e.Zk = !1; this.Qm(e.request) }; d.prototype.Rm = function () { for (var e = g(Object.keys(this.K)), f = e.next(); !f.done; f = e.next()) { var h = this.K[f.value]; h.Zk && this.sendRequest(h) } }; d.prototype.Nm = function () {
+      for (var e =
+        g(Object.keys(this.K)), f = e.next(); !f.done; f = e.next())this.Ke(this.K[f.value], this.P)
+    }; d.prototype.Ke = function (e, f) { this.mc(e); var h = e.request; h.failure = { failureType: f }; e.il(h) }; d.prototype.mc = function (e) { delete this.K[e.request.requestId]; this.F.clearTimeout(e.co) }; d.prototype.Ln = function (e) { this.fa = ct(this.F); var f = this.K[e.requestId]; if (f) this.mc(f), f.il(e); else { var h, l; (l = (h = this.N).onFailure) == null || l.call(h, { failureType: 14 }) } }; c = new d(a, k, b); return c
+  }; var et;
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+  function ot(a, b, c, d) {
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+      var q = "_is_sw=f" + p.failureType, r, u = (r = it(e.origin)) == null ? void 0 : r.getState(); u !== void 0 && (q += "s" +
+        u); d(n ? q + ("t" + n) : q + "te")
+    });
+  }; var pt = "platform platformVersion architecture model uaFullVersion bitness fullVersionList wow64".split(" "); function qt() { var a; return (a = k.google_tag_data) != null ? a : k.google_tag_data = {} } function rt() { var a = k.google_tag_data, b; if (a != null && a.uach) { var c = a.uach, d = Object.assign({}, c); c.fullVersionList && (d.fullVersionList = c.fullVersionList.slice(0)); b = d } else b = null; return b } function st() { var a, b; return (b = (a = k.google_tag_data) == null ? void 0 : a.uach_promise) != null ? b : null }
+  function tt() { var a, b; return typeof ((a = k.navigator) == null ? void 0 : (b = a.userAgentData) == null ? void 0 : b.getHighEntropyValues) === "function" } function ut() { if (!tt()) return null; var a = qt(); if (a.uach_promise) return a.uach_promise; var b = k.navigator.userAgentData.getHighEntropyValues(pt).then(function (c) { a.uach != null || (a.uach = c); return c }); return a.uach_promise = b }; function su(a, b) {
+    var c = !!bg(); switch (a) {
+      case 45: return c && !F(76) ? ag() + "/g/ccm/collect" : "https://www.google.com/ccm/collect"; case 46: return c ? ag() + "/gs/ccm/collect" : "https://pagead2.googlesyndication.com/ccm/collect"; case 51: return c && !F(80) ? ag() + "/travel/flights/click/conversion" : "https://www.google.com/travel/flights/click/conversion"; case 9: return !F(77) && c ? ag() + "/pagead/viewthroughconversion" : "https://googleads.g.doubleclick.net/pagead/viewthroughconversion"; case 17: return c && !F(82) ? (F(90) ? Oj() :
+        "").toLowerCase() === "region1" ? "" + ag() + "/r1ag/g/c" : "" + ag() + "/ag/g/c" : qu(); case 16: return c ? "" + ag() + (F(15) ? "/ga/g/c" : "/g/collect") : ru(); case 1: return !F(81) && c ? ag() + "/activity;" : "https://ad.doubleclick.net/activity;"; case 2: return c ? ag() + "/ddm/activity/" : "https://ade.googlesyndication.com/ddm/activity/"; case 33: return !F(81) && c ? ag() + "/activity;register_conversion=1;" : "https://ad.doubleclick.net/activity;register_conversion=1;"; case 11: return c ? F(79) ? ag() + "/d/pagead/form-data" : ag() + "/pagead/form-data" :
+          F(141) ? "https://www.google.com/pagead/form-data" : "https://google.com/pagead/form-data"; case 3: return !F(81) && c ? ag() + "/activityi/" + b + ";" : "https://" + b + ".fls.doubleclick.net/activityi;"; case 5: case 6: case 7: case 8: case 12: case 13: case 14: case 15: case 18: case 19: case 20: case 21: case 22: case 23: case 24: case 25: case 26: case 27: case 28: case 29: case 30: case 31: case 32: case 34: case 35: case 36: case 37: case 38: case 39: case 40: case 42: case 43: case 44: case 47: case 48: case 49: case 50: case 52: case 53: case 54: case 55: case 56: case 57: case 58: case 59: case 0: throw Error("Unsupported endpoint");
+      default: wb(a, "Unknown endpoint")
+    }
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+  function Zu(a) { } function $u() { }
+  function av(a) { } function bv(a) { }
+  function cv(a) { }
+  function dv() { } function ev(a, b) { }
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+    return function () {
+      if (b.fallback_url && b.fallback_url_method) {
+        var c =
+          {}; mv(a, (c[b.fallback_url_method] = [b.fallback_url], c.options = {}, c))
+      }
+    }
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+  }, fw = "google customPixels customScripts html nonGooglePixels nonGoogleScripts nonGoogleIframes".split(" ");
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+      "sandboxedScripts")); $a(c).indexOf("google") >= 0 && J(2); var d = c && gb($a(c), ew), e = {}; return function (f) {
+        var h = f && f[oc.Fa]; if (!h || typeof h !== "string") return !0; h = h.replace(/^_*/, ""); if (e[h] !== void 0) return e[h]; var l = Yf[h] || [], m = !0; if (a) { var n; if (n = m) a: { if (b.indexOf(h) < 0) { if (F(48) && Of && l.indexOf("cmpPartners") >= 0) { n = !0; break a } if (l && l.length > 0) for (var p = 0; p < l.length; p++) { if (b.indexOf(l[p]) < 0) { J(11); n = !1; break a } } else { n = !1; break a } } n = !0 } m = n } var q = !1; if (c) {
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+            var u = Ua(d, l ||
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+          }
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+  function nw() { pi() || Wa(qi(), function (a, b) { ow(a, b.transportUrl, b.context); J(92) }) }
+  function ow(a, b, c) {
+    if (!lw()) {
+      var d = c.siloed ? $h(a) : a, e = Ph().destination[d]; if (!e || !e.state) if (c.loadExperiments || (c.loadExperiments = Hf()), pi()) Ph().destination[d] = { state: 0, transportUrl: b, context: c, parent: hi() }, Oh({ ctid: d, isDestination: !0 }), J(91); else {
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+          var h = "/gtag/destination" + mw(a, !0), l = Lg(b, h); l || (l = gr("https://",
+            "http://", Jf.uf + h)); Gh(f, l)
+        }
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+    }
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+          if (!E) {
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+              K; ax(c.id, Oc[a], "6"); ww(c.Kc, B, "failure", M); F(109) && fv(c, f, Cu.M.Ph); l()
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+      }
+    } var f = Oc[a], h = b.onSuccess, l = b.onFailure, m = b.terminate; if (c.isBlocked(f)) return null; var n = bd(f[oc.Ck], c, []); if (n && n.length) {
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+        2 ? m : q
+    } if (f[oc.lk] || f[oc.Fm]) { var r = f[oc.lk] ? Pc : c.Ho, u = h, v = l; if (!r[a]) { var t = ex(a, r, eb(e)); h = t.onSuccess; l = t.onFailure } return function () { r[a](u, v) } } return e
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+    return c.length > 0
+  }; function lx(a, b) { if (!qw) return !1; var c = a["gtm.triggers"] && String(a["gtm.triggers"]), d = rw(a.event, c ? String(c).split(",") : []); if (!d.length) return !1; for (var e = 0; e < d.length; ++e) { var f = zw(b); try { d[e](a, f) } catch (h) { f() } } return !0 } function jx(a, b) { var c, d = b.priorityOverride, e = a.priorityOverride; c = d > e ? 1 : d < e ? -1 : 0; var f; if (c !== 0) f = c; else { var h = a.ml, l = b.ml; f = h > l ? 1 : h < l ? -1 : 0 } return f }
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+  function nx(a) {
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+      a.eventTimeout, n = {
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+        originalEventData: h
+      }; F(120) && Vg && (n.reportMacroDiscrepancy = Vw); F(109) && bv(n.id); var p = ed(n); F(109) && cv(n.id); e && (p = qx(p)); F(109) && av(b); var q = kx(p, n), r = lx(a, n.Kc); Aw(n.Kc); d !== "gtm.js" && d !== "gtm.sync" || Gw(); return rx(p, q) || r
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+  function qx(a) { for (var b = [], c = 0; c < a.length; c++)if (a[c]) { var d = String(Oc[c][oc.Fa]); if (Kf[d] || Oc[c][oc.Gm] !== void 0 || Wv(d, 2)) b[c] = !0 } return b } function rx(a, b) { if (!b) return b; for (var c = 0; c < a.length; c++)if (a[c] && Oc[c] && !Lf[String(Oc[c][oc.Fa])]) return !0; return !1 }; function sx() { qw || (qw = new pw); qw.addListener("gtm.init", function (a, b) { Ff.P = !0; hj(); b() }) }; var tx = !1, ux = 0, vx = []; function wx(a) { if (!tx) { var b = x.createEventObject, c = x.readyState === "complete", d = x.readyState === "interactive"; if (!a || a.type !== "readystatechange" || c || !b && d) { tx = !0; for (var e = 0; e < vx.length; e++)A(vx[e]) } vx.push = function () { for (var f = va.apply(0, arguments), h = 0; h < f.length; h++)A(f[h]); return 0 } } } function xx() { if (!tx && ux < 140) { ux++; try { var a, b; (b = (a = x.documentElement).doScroll) == null || b.call(a, "left"); wx() } catch (c) { k.setTimeout(xx, 50) } } }
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+  function Ex(a) { Wa(Bx, function (b, c) { var d = c.indexOf(a); d >= 0 && c.splice(d, 1) }) } function Fx(a) { Wa(Cx, function (b, c) { var d = c.indexOf(a); d >= 0 && c.splice(d, 1) }) }; var Gx = !1, Hx = !1; function Ix(a, b) { var c = {}, d = (c.event = a, c); b && (d.eventModel = ic(b, null), b[G.m.ie] && (d.eventCallback = b[G.m.ie]), b[G.m.Kf] && (d.eventTimeout = b[G.m.Kf])); return d } function Jx(a, b) { a.hasOwnProperty("gtm.uniqueEventId") || Object.defineProperty(a, "gtm.uniqueEventId", { value: Kk() }); b.eventId = a["gtm.uniqueEventId"]; b.priorityId = a["gtm.priorityId"]; return { eventId: b.eventId, priorityId: b.priorityId } }
+  function Kx(a, b) {
+    var c = a && a[G.m.Cc]; c === void 0 && (c = hg(G.m.Cc, 2), c === void 0 && (c = "default")); if (Pa(c) || Array.isArray(c)) {
+      var d; d = b.isGtmEvent ? Pa(c) ? [c] : c : c.toString().replace(/\s+/g, "").split(","); var e = Dx(d, b.isGtmEvent), f = e.vi, h = e.eo; if (h.length) for (var l = Lx(a), m = 0; m < h.length; m++) { var n = Pk(h[m], b.isGtmEvent); if (n) { var p = n.destinationId, q; if (!(q = hb(p, "siloed_"))) { var r = n.destinationId, u = Ph().destination[r]; q = !!u && u.state === 0 } q || ow(p, l, { source: 3, fromContainerExecution: b.fromContainerExecution }) } } var v =
+        f.concat(h); return { vi: Qk(f, b.isGtmEvent), Vm: Qk(v, b.isGtmEvent) }
+    }
+  } var Mx = void 0, Nx = void 0; function Ox(a, b, c) { var d = ic(a, null); d.eventId = void 0; d.inheritParentConfig = void 0; Object.keys(b).some(function (f) { return b[f] !== void 0 }) && J(136); var e = ic(b, null); ic(c, e); Er(Ar(Yh()[0], e), a.eventId, d) } function Lx(a) { for (var b = g([G.m.Dc, G.m.Rb]), c = b.next(); !c.done; c = b.next()) { var d = c.value, e = a && a[d] || Ql.F[d]; if (e) return e } }
+  var Px = {
+    config: function (a, b) {
+      var c = Jx(a, b); if (!(a.length < 2) && Pa(a[1])) {
+        var d = {}; if (a.length > 2) { if (a[2] !== void 0 && !hc(a[2]) || a.length > 3) return; d = a[2] } var e = Pk(a[1], b.isGtmEvent); if (e) {
+          var f, h, l; a: { if (!Sh.Je) { var m = gi(hi()); if (ri(m)) { var n = m.parent, p = n.isDestination; l = { io: gi(n), bo: p }; break a } } l = void 0 } var q = l; q && (f = q.io, h = q.bo); Qw(c.eventId, "gtag.config"); var r = e.destinationId, u = e.id !== r; if (u ? ai().indexOf(r) === -1 : Yh().indexOf(r) === -1) {
+            if (!b.inheritParentConfig && !d[G.m.ic]) {
+              var v = Lx(d); if (u) ow(r, v, {
+                source: 2,
+                fromContainerExecution: b.fromContainerExecution
+              }); else if (f !== void 0 && f.containers.indexOf(r) !== -1) { var t = d; Mx ? Ox(b, t, Mx) : Nx || (Nx = ic(t, null)) } else kw(r, v, !0, { source: 2, fromContainerExecution: b.fromContainerExecution })
+            }
+          } else {
+            if (f && (J(128), h && J(130), b.inheritParentConfig)) { var w = d; Nx ? Ox(b, Nx, w) : !w[G.m.Ec] && Nf && Mx || (Mx = ic(w, null)); return } Wg && (Ax === 1 && (aj.mcc = !1), Ax = 2); if (Nf && !u && !d[G.m.Ec]) { var y = Hx; Hx = !0; if (y) return } Gx || J(43); if (!b.noTargetGroup) if (u) {
+              Fx(e.id); var z = e.id, C = d[G.m.Pf] || "default"; C = String(C).split(",");
+              for (var B = 0; B < C.length; B++) { var E = Cx[C[B]] || []; Cx[C[B]] = E; E.indexOf(z) < 0 && E.push(z) }
+            } else { Ex(e.id); var K = e.id, M = d[G.m.Pf] || "default"; M = M.toString().split(","); for (var N = 0; N < M.length; N++) { var U = Bx[M[N]] || []; Bx[M[N]] = U; U.indexOf(K) < 0 && U.push(K) } } delete d[G.m.Pf]; var I = b.eventMetadata || {}; I.hasOwnProperty(P.C.Hc) || (I[P.C.Hc] = !b.fromContainerExecution); b.eventMetadata = I; delete d[G.m.ie]; for (var Z = u ? [e.id] : ai(), T = 0; T < Z.length; T++) {
+              var ca = d, R = Z[T], Q = ic(b, null), da = Pk(R, Q.isGtmEvent); da && Ql.push("config",
+                [ca], da, Q)
+            }
+          }
+        }
+      }
+    }, consent: function (a, b) { if (a.length === 3) { J(39); var c = Jx(a, b), d = a[1], e = {}, f = Qj(a[2]), h; for (h in f) if (f.hasOwnProperty(h)) { var l = f[h]; e[h] = h === G.m.Ng ? Array.isArray(l) ? NaN : Number(l) : h === G.m.Md ? (Array.isArray(l) ? l : [l]).map(Rj) : Sj(l) } b.fromContainerExecution || (e[G.m.U] && J(139), e[G.m.Ea] && J(140)); d === "default" ? uk(e) : d === "update" ? vk(e, c) : d === "declare" && b.fromContainerExecution && tk(e) } }, event: function (a, b) {
+      var c = a[1]; if (!(a.length < 2) && Pa(c)) {
+        var d = void 0; if (a.length > 2) {
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+            void 0 || a.length > 3) return; d = a[2]
+        } var e = Ix(c, d), f = Jx(a, b), h = f.eventId, l = f.priorityId; e["gtm.uniqueEventId"] = h; l && (e["gtm.priorityId"] = l); if (c === "optimize.callback") return e.eventModel = e.eventModel || {}, e; var m = Kx(d, b); if (m) {
+          var n = m.vi, p = m.Vm, q, r, u; if (!Th && F(108)) { q = p.map(function (M) { return M.id }); r = p.map(function (M) { return M.destinationId }); u = n.map(function (M) { return M.id }); for (var v = g(Uh ? Uh : bi()), t = v.next(); !t.done; t = v.next()) { var w = t.value; !hb(w, "siloed_") && r.indexOf(w) < 0 && r.indexOf($h(w)) < 0 && u.push(w) } } else q =
+            n.map(function (M) { return M.id }), r = n.map(function (M) { return M.destinationId }), u = q; Qw(h, c); for (var y = g(u), z = y.next(); !z.done; z = y.next()) { var C = z.value, B = ic(b, null), E = ic(d, null); delete E[G.m.ie]; var K = B.eventMetadata || {}; K.hasOwnProperty(P.C.Hc) || (K[P.C.Hc] = !B.fromContainerExecution); K[P.C.Kh] = q.slice(); K[P.C.Ne] = r.slice(); B.eventMetadata = K; Pl(c, E, C, B); Wg && K[P.C.jb] === void 0 && Ax === 0 && (dj("mcc", "1"), Ax = 1) } e.eventModel = e.eventModel || {}; q.length > 0 ? e.eventModel[G.m.Cc] = q.join(",") : delete e.eventModel[G.m.Cc];
+          Gx || J(43); b.noGtmEvent === void 0 && b.eventMetadata && b.eventMetadata[P.C.Mm] && (b.noGtmEvent = !0); e.eventModel[G.m.hc] && (b.noGtmEvent = !0); return b.noGtmEvent ? void 0 : e
+        }
+      }
+    }, get: function (a, b) {
+      J(53); if (a.length === 4 && Pa(a[1]) && Pa(a[2]) && Oa(a[3])) {
+        var c = Pk(a[1], b.isGtmEvent), d = String(a[2]), e = a[3]; if (c) {
+          Gx || J(43); var f = Lx(); if (Sa(ai(), function (l) { return c.destinationId === l })) { Jx(a, b); var h = {}; ic((h[G.m.Mb] = d, h[G.m.bc] = e, h), null); Rl(d, function (l) { A(function () { e(l) }) }, c.id, b) } else ow(c.destinationId, f, {
+            source: 4,
+            fromContainerExecution: b.fromContainerExecution
+          })
+        }
+      }
+    }, js: function (a, b) { if (a.length === 2 && a[1].getTime) { Gx = !0; var c = Jx(a, b), d = c.eventId, e = c.priorityId, f = {}; return f.event = "gtm.js", f["gtm.start"] = a[1].getTime(), f["gtm.uniqueEventId"] = d, f["gtm.priorityId"] = e, f } }, policy: function () { }, set: function (a, b) {
+      var c = void 0; a.length === 2 && hc(a[1]) ? c = ic(a[1], null) : a.length === 3 && Pa(a[1]) && (c = {}, hc(a[2]) || Array.isArray(a[2]) ? c[a[1]] = ic(a[2], null) : c[a[1]] = a[2]); if (c) {
+        var d = Jx(a, b), e = d.eventId, f = d.priorityId; ic(c, null);
+        var h = ic(c, null); Ql.push("set", [h], void 0, b); c["gtm.uniqueEventId"] = e; f && (c["gtm.priorityId"] = f); delete c.event; b.overwriteModelFields = !0; return c
+      }
+    }
+  }, Qx = { policy: !0 }; var Sx = function (a) { if (Rx(a)) return a; this.value = a }; Sx.prototype.getUntrustedMessageValue = function () { return this.value }; var Rx = function (a) { return !a || fc(a) !== "object" || hc(a) ? !1 : "getUntrustedMessageValue" in a }; Sx.prototype.getUntrustedMessageValue = Sx.prototype.getUntrustedMessageValue; var Tx = !1, Ux = []; function Vx() { if (!Tx) { Tx = !0; for (var a = 0; a < Ux.length; a++)A(Ux[a]) } } function Wx(a) { Tx ? A(a) : Ux.push(a) }; var Xx = 0, Yx = {}, Zx = [], $x = [], ay = !1, by = !1; function cy(a, b) { return a.messageContext.eventId - b.messageContext.eventId || a.messageContext.priorityId - b.messageContext.priorityId } function dy(a, b) { var c = a._clear || b.overwriteModelFields; Wa(a, function (e, f) { e !== "_clear" && (c && kg(e), kg(e, f)) }); Vf || (Vf = a["gtm.start"]); var d = a["gtm.uniqueEventId"]; if (!a.event) return !1; typeof d !== "number" && (d = Kk(), a["gtm.uniqueEventId"] = d, kg("gtm.uniqueEventId", d)); return nx(a) }
+  function ey(a) { if (a == null || typeof a !== "object") return !1; if (a.event) return !0; if (Xa(a)) { var b = a[0]; if (b === "config" || b === "event" || b === "js" || b === "get") return !0 } return !1 }
+  function fy() { var a; if ($x.length) a = $x.shift(); else if (Zx.length) a = Zx.shift(); else return; var b; var c = a; if (ay || !ey(c.message)) b = c; else { ay = !0; var d = c.message["gtm.uniqueEventId"], e, f; typeof d === "number" ? (e = d - 2, f = d - 1) : (e = Kk(), f = Kk(), c.message["gtm.uniqueEventId"] = Kk()); var h = {}, l = { message: (h.event = "gtm.init_consent", h["gtm.uniqueEventId"] = e, h), messageContext: { eventId: e } }, m = {}, n = { message: (m.event = "gtm.init", m["gtm.uniqueEventId"] = f, m), messageContext: { eventId: f } }; Zx.unshift(n, c); b = l } return b }
+  function gy() {
+    for (var a = !1, b; !by && (b = fy());) {
+      by = !0; delete eg.eventModel; gg(); var c = b, d = c.message, e = c.messageContext; if (d == null) by = !1; else {
+        if (e.fromContainerExecution) for (var f = ["gtm.allowlist", "gtm.blocklist", "gtm.whitelist", "gtm.blacklist", "tagTypeBlacklist"], h = 0; h < f.length; h++) { var l = f[h], m = hg(l, 1); if (Array.isArray(m) || hc(m)) m = ic(m, null); fg[l] = m } try {
+          if (Oa(d)) try { d.call(ig) } catch (z) { } else if (Array.isArray(d)) {
+            if (Pa(d[0])) {
+              var n = d[0].split("."), p = n.pop(), q = d.slice(1), r = hg(n.join("."), 2); if (r != null) try {
+                r[p].apply(r,
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+    } return !a
+  }
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+      var e = ci(), f = k[Jf.Yb].hide; if (f && f[e] !== void 0 && f.end) {
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+          !1; var h = !0, l; for (l in f) if (f.hasOwnProperty(l) && f[l] === !0) { h = !1; break } h && (f.end(), f.end = null)
+      }
+    } catch (m) { } return c
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+  function jy() {
+    function a(f) { var h = {}; if (Rx(f)) { var l = f; f = Rx(l) ? l.getUntrustedMessageValue() : void 0; h.fromContainerExecution = !0 } return { message: f, messageContext: h } } var b = Eb(Jf.Yb, []), c = Jk(); c.pruned === !0 && J(83); Yx = Fr().get(); Gr(); zx(function () { if (!c.gtmDom) { c.gtmDom = !0; var f = {}; b.push((f.event = "gtm.dom", f)) } }); Wx(function () { if (!c.gtmLoad) { c.gtmLoad = !0; var f = {}; b.push((f.event = "gtm.load", f)) } }); c.subscribers = (c.subscribers || 0) + 1; var d = b.push; b.push = function () {
+      var f; if (Fk.SANDBOXED_JS_SEMAPHORE > 0) {
+        f =
+          []; for (var h = 0; h < arguments.length; h++)f[h] = new Sx(arguments[h])
+      } else f = [].slice.call(arguments, 0); var l = f.map(function (q) { return a(q) }); Zx.push.apply(Zx, l); var m = d.apply(b, f), n = Math.max(100, Number("1000") || 300); if (this.length > n) for (J(4), c.pruned = !0; this.length > n;)this.shift(); var p = typeof m !== "boolean" || m; return gy() && p
+    }; var e = b.slice(0).map(function (f) { return a(f) }); Zx.push.apply(Zx, e); if (!Ff.N) { if (F(109)) { } A(iy) }
+  } var ky = function (a) { k[Jf.Yb].push(a) }; function ly(a) { ky(a) }; function my() { var a, b = Fg(k.location.href); (a = b.hostname + b.pathname) && dj("dl", encodeURIComponent(a)); var c; var d = Vh.ctid; if (d) { var e = Sh.Je ? 1 : 0, f, h = gi(hi()); f = h && h.context; c = d + ";" + Vh.canonicalContainerId + ";" + (f && f.fromContainerExecution ? 1 : 0) + ";" + (f && f.source || 0) + ";" + e } else c = void 0; var l = c; l && dj("tdp", l); var m = jh(!0); m !== void 0 && dj("frm", String(m)) }; function ny() {
+    Wg && k.addEventListener("securitypolicyviolation", function (a) {
+      if (a.disposition === "enforce") {
+        var b = Bh(a.effectiveDirective); if (b) {
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+            for (var l = g(c), m = l.next(); !m.done; m = l.next()) {
+              var n = m.value; if (!n.fl) {
+                n.fl = !0; var p = String(n.endpoint); ij.hasOwnProperty(p) || (ij[p] = !0, dj("csp",
+                  Object.keys(ij).join("~")))
+              }
+            } Ah(b, a.blockedURI)
+          }
+        }
+      }
+    })
+  }; function oy() { var a; var b = fi(); if (b) if (b.canonicalContainerId) a = b.canonicalContainerId; else { var c, d = b.scriptContainerId || ((c = b.destinations) == null ? void 0 : c[0]); a = d ? "_" + d : void 0 } else a = void 0; var e = a; e && dj("pcid", e) }; var py = /^(https?:)?\/\//;
+  function qy() {
+    var a; var b = gi(hi()); if (b) { for (; b.parent;) { var c = gi(b.parent); if (!c) break; b = c } a = b } else a = void 0; var d = a; if (d) {
+      var e; a: { var f, h = (f = d.scriptElement) == null ? void 0 : f.src; if (h) { var l; try { var m; l = (m = cc()) == null ? void 0 : m.getEntriesByType("resource") } catch (v) { } if (l) { for (var n = -1, p = g(l), q = p.next(); !q.done; q = p.next()) { var r = q.value; if (r.initiatorType === "script" && (n += 1, r.name.replace(py, "") === h.replace(py, ""))) { e = n; break a } } J(146) } else J(145) } e = void 0 } var u = e; u !== void 0 && (d.canonicalContainerId &&
+        dj("rtg", String(d.canonicalContainerId)), dj("slo", String(u)), dj("hlo", d.htmlLoadOrder || "-1"), dj("lst", String(d.loadScriptType || "0")))
+    } else J(144)
+  };
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+      case "_ge": return Number(b) >= Number(c); case "_gt": return Number(b) > Number(c); case "_lc": return String(b).split(",").indexOf(String(c)) >= 0; case "_le": return Number(b) <= Number(c); case "_lt": return Number(b) < Number(c); case "_re": var q; a: { var r = a.ignore_case ? "i" : void 0; try { var u = String(c) + String(r), v = Id.get(u); v || (v = new RegExp(c, r), Id.set(u, v)); q = v.test(b); break a } catch (t) { q = !1; break a } } return q; case "_sw": return hb(String(b), String(c)); case "_um": return Ty(b, c)
+    }return !1
+  };[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2].reduce(function (a, b) { return a + b });[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2].reduce(function (a, b) { return a + b });[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2].reduce(function (a, b) { return a + b });[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2].reduce(function (a, b) { return a + b });[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2].reduce(function (a, b) { return a + b });[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2].reduce(function (a, b) { return a + b }); var Wy = function (a, b, c, d) { dm.call(this); this.rg = b; this.Ke = c; this.mc = d; this.ib = new Map; this.vg = 0; this.fa = new Map; this.Ga = new Map; this.P = void 0; this.K = a }; ra(Wy, dm); Wy.prototype.N = function () { delete this.F; this.ib.clear(); this.fa.clear(); this.Ga.clear(); this.P && ($l(this.K, "message", this.P), delete this.P); delete this.K; delete this.mc; dm.prototype.N.call(this) };
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+    a.P || (a.P = function (b) {
+      try {
+        var c; c = a.mc ? a.mc(b) : void 0; if (c) {
+          var d = c.lo, e = a.Ga.get(d); if (e) {
+            e.persistent || a.Ga.delete(d); var f; (f = e.Kg) == null || f.call(e,
+              e.pn, c.payload)
+          }
+        }
+      } catch (h) { }
+    }, Zl(a.K, "message", a.P))
+  }; var $y = function (a, b) { var c = b.listener, d = (0, a.__gpp)("addEventListener", c); d && c(d, !0) }, az = function (a, b) { (0, a.__gpp)("removeEventListener", b.listener, b.listenerId) }, bz = { Qk: function (a) { return a.listener }, ui: function (a, b) { var c = {}; return c.__gppCall = { callId: b, command: "addEventListener", version: "1.1" }, c }, Kg: function (a, b) { var c = b.__gppReturn; a(c.returnValue, c.success) } }, cz = {
+    Qk: function (a) { return a.listener }, ui: function (a, b) {
+      var c = {}; return c.__gppCall = {
+        callId: b, command: "removeEventListener", version: "1.1",
+        parameter: a.listenerId
+      }, c
+    }, Kg: function (a, b) { var c = b.__gppReturn, d = c.returnValue.data; a == null || a(d, c.success) }
+  }; function dz(a) { var b = {}; typeof a.data === "string" ? b = JSON.parse(a.data) : b = a.data; return { payload: b, lo: b.__gppReturn.callId } }
+  var ez = function (a, b) { var c; c = (b === void 0 ? {} : b).timeoutMs; dm.call(this); this.caller = new Wy(a, "__gppLocator", function (d) { return typeof d.__gpp === "function" }, dz); this.caller.ib.set("addEventListener", $y); this.caller.fa.set("addEventListener", bz); this.caller.ib.set("removeEventListener", az); this.caller.fa.set("removeEventListener", cz); this.timeoutMs = c != null ? c : 500 }; ra(ez, dm); ez.prototype.N = function () { this.caller.dispose(); dm.prototype.N.call(this) };
+  ez.prototype.addEventListener = function (a) {
+    var b = this, c = $g(function () { a(fz, !0) }), d = this.timeoutMs === -1 ? void 0 : setTimeout(function () { c() }, this.timeoutMs); Zy(this.caller, "addEventListener", {
+      listener: function (e, f) {
+        clearTimeout(d); try {
+          var h; var l; ((l = e.pingData) == null ? void 0 : l.gppVersion) === void 0 || e.pingData.gppVersion === "1" || e.pingData.gppVersion === "1.0" ? (b.removeEventListener(e.listenerId), h = {
+            eventName: "signalStatus", data: "ready", pingData: {
+              internalErrorState: 1, gppString: "GPP_ERROR_STRING_IS_DEPRECATED_SPEC",
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+            }
+          }) : Array.isArray(e.pingData.applicableSections) ? h = e : (b.removeEventListener(e.listenerId), h = { eventName: "signalStatus", data: "ready", pingData: { internalErrorState: 2, gppString: "GPP_ERROR_STRING_EXPECTED_APPLICATION_SECTION_ARRAY", applicableSections: [-1] } }); a(h, f)
+        } catch (m) { if (e == null ? 0 : e.listenerId) try { b.removeEventListener(e.listenerId) } catch (n) { a(gz, !0); return } a(hz, !0) }
+      }
+    })
+  };
+  ez.prototype.removeEventListener = function (a) { Zy(this.caller, "removeEventListener", { listener: function () { }, listenerId: a }) };
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+      if (!hc(a)) return {}; var b = ic(a,
+        null); delete b.match_id; return b
+    }, eA[G.m.xa] = Dz, eA[G.m.Qa] = Dz, eA), gA = {}, hA = {}, iA = (hA[P.C.Ha] = (gA[2] = [Bz], gA), hA), jA = {}; var kA = function (a, b, c, d) { this.F = a; this.N = b; this.O = c; this.P = d }; kA.prototype.getValue = function (a) { a = a === void 0 ? vi.W.Jc : a; if (!this.N.some(function (b) { return b(a) })) return this.O.some(function (b) { return b(a) }) ? this.P(this.F) : this.F }; kA.prototype.K = function () { return fc(this.F) === "array" || hc(this.F) ? ic(this.F, null) : this.F };
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+  var nF = {}; var Y = { securityGroups: {} };
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+
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+
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+
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+
+  var Ik = { dataLayer: ig, callback: function (a) { Xf.hasOwnProperty(a) && Oa(Xf[a]) && Xf[a](); delete Xf[a] }, bootstrap: 0 };
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+  function Jj() {
+    try {
+      if (pF || !si()) {
+        If(); Ff.O = ""; Ff.ib = "ad_storage|analytics_storage|ad_user_data|ad_personalization";
+        Ff.fa = "ad_storage|analytics_storage|ad_user_data"; Ff.ba = "5570"; Ff.ba = "5570"; ji(); if (F(109)) { } pd[8] =
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+          }
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+      var t = "GTM", w = "GTM"; Of && (t = "OGT", w = "GTAG"); var y = k["google.tagmanager.debugui2.queue"]; y || (y =
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+    var m = void 0, n = void 0, p = zg(k.location, "query", !1, void 0, "gtm_debug"); Vj(p) && (m = l.Zj); if (!m && x.referrer) { var q = Fg(x.referrer); Bg(q, "host") === "tagassistant.google.com" && (m = l.rk) } if (!m) { var r = cn("__TAG_ASSISTANT"); r.length && r[0].length && (m = l.Xi) } m || b(); if (!m && Uj(n)) { var u = !1; Rb(x, "TADebugSignal", function () { u || (u = !0, b(), c()) }, !1); k.setTimeout(function () { u || (u = !0, b(), c()) }, 200) } else c()
+  })(function () { F(83) && pF && !Lj()["0"] ? Ij() : Jj() });
+
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diff --git a/autogpt_platform/frontend/public/integrations/d-id.png b/autogpt_platform/frontend/public/integrations/d-id.png
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diff --git a/autogpt_platform/frontend/public/integrations/linear.png b/autogpt_platform/frontend/public/integrations/linear.png
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diff --git a/autogpt_platform/frontend/public/integrations/mem0.png b/autogpt_platform/frontend/public/integrations/mem0.png
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diff --git a/autogpt_platform/frontend/public/integrations/notion.png b/autogpt_platform/frontend/public/integrations/notion.png
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diff --git a/autogpt_platform/frontend/public/integrations/nvidia.jpg b/autogpt_platform/frontend/public/integrations/nvidia.jpg
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diff --git a/autogpt_platform/frontend/public/integrations/openweathermap.png b/autogpt_platform/frontend/public/integrations/openweathermap.png
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diff --git a/autogpt_platform/frontend/public/integrations/pinecone.png b/autogpt_platform/frontend/public/integrations/pinecone.png
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diff --git a/autogpt_platform/frontend/public/integrations/reddit.png b/autogpt_platform/frontend/public/integrations/reddit.png
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diff --git a/autogpt_platform/frontend/public/integrations/slant3d.jpeg b/autogpt_platform/frontend/public/integrations/slant3d.jpeg
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diff --git a/autogpt_platform/frontend/public/integrations/smtp.png b/autogpt_platform/frontend/public/integrations/smtp.png
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diff --git a/autogpt_platform/frontend/public/integrations/todoist.png b/autogpt_platform/frontend/public/integrations/todoist.png
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diff --git a/autogpt_platform/frontend/public/integrations/unreal-speech.png b/autogpt_platform/frontend/public/integrations/unreal-speech.png
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diff --git a/autogpt_platform/frontend/public/integrations/x.png b/autogpt_platform/frontend/public/integrations/x.png
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diff --git a/autogpt_platform/frontend/public/onboarding/builder-open.mp4 b/autogpt_platform/frontend/public/onboarding/builder-open.mp4
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diff --git a/autogpt_platform/frontend/public/onboarding/builder-run.mp4 b/autogpt_platform/frontend/public/onboarding/builder-run.mp4
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diff --git a/autogpt_platform/frontend/public/onboarding/builder-save.mp4 b/autogpt_platform/frontend/public/onboarding/builder-save.mp4
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diff --git a/autogpt_platform/frontend/public/onboarding/marketplace-add.mp4 b/autogpt_platform/frontend/public/onboarding/marketplace-add.mp4
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diff --git a/autogpt_platform/frontend/public/onboarding/marketplace-visit.mp4 b/autogpt_platform/frontend/public/onboarding/marketplace-visit.mp4
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diff --git a/autogpt_platform/frontend/public/placeholder.png b/autogpt_platform/frontend/public/placeholder.png
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index 000000000000..aab4c73603c7
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diff --git a/autogpt_platform/frontend/public/storybook/atoms.png b/autogpt_platform/frontend/public/storybook/atoms.png
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index 000000000000..e93ed56ea64a
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diff --git a/autogpt_platform/frontend/public/storybook/autogpt-logo-storybook.png b/autogpt_platform/frontend/public/storybook/autogpt-logo-storybook.png
new file mode 100644
index 000000000000..3a5588b34d55
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diff --git a/autogpt_platform/frontend/src/stories/assets/discord.svg b/autogpt_platform/frontend/public/storybook/discord.svg
similarity index 100%
rename from autogpt_platform/frontend/src/stories/assets/discord.svg
rename to autogpt_platform/frontend/public/storybook/discord.svg
diff --git a/autogpt_platform/frontend/public/storybook/docs.svg b/autogpt_platform/frontend/public/storybook/docs.svg
new file mode 100644
index 000000000000..6988995ddfaf
--- /dev/null
+++ b/autogpt_platform/frontend/public/storybook/docs.svg
@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" fill="none" viewBox="0 0 32 32">
+  <path fill="#1E88E5" d="M31.3313 8.44657C30.9633 7.08998 29.8791 6.02172 28.5022 5.65916C26.0067 5.00026 16 5.00026 16 5.00026C16 5.00026 5.99333 5.00026 3.4978 5.65916C2.12102 6.02172 1.03665 7.08998 0.668678 8.44657C0 10.9053 0 16.0353 0 16.0353C0 16.0353 0 21.1652 0.668678 23.6242C1.03665 24.9806 2.12102 26.0489 3.4978 26.4116C5.99333 27.0703 16 27.0703 16 27.0703C16 27.0703 26.0067 27.0703 28.5022 26.4116C29.8791 26.0489 30.9633 24.9806 31.3313 23.6242C32 21.1652 32 16.0353 32 16.0353C32 16.0353 32 10.9053 31.3313 8.44657Z"/>
+  <path fill="#fff" d="M11 10H20V22H11V10ZM13 12V13H18V12H13ZM13 15V16H18V15H13ZM13 18V19H18V18H13Z"/>
+</svg>
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/stories/assets/github.svg b/autogpt_platform/frontend/public/storybook/github.svg
similarity index 100%
rename from autogpt_platform/frontend/src/stories/assets/github.svg
rename to autogpt_platform/frontend/public/storybook/github.svg
diff --git a/autogpt_platform/frontend/public/storybook/molecules.png b/autogpt_platform/frontend/public/storybook/molecules.png
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index 000000000000..5bf006b5d9bc
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diff --git a/autogpt_platform/frontend/public/storybook/tokens.png b/autogpt_platform/frontend/public/storybook/tokens.png
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index 000000000000..15e15a1ee604
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diff --git a/autogpt_platform/frontend/src/stories/assets/youtube.svg b/autogpt_platform/frontend/public/storybook/youtube.svg
similarity index 100%
rename from autogpt_platform/frontend/src/stories/assets/youtube.svg
rename to autogpt_platform/frontend/public/storybook/youtube.svg
diff --git a/autogpt_platform/frontend/scripts/generate-api-queries.ts b/autogpt_platform/frontend/scripts/generate-api-queries.ts
new file mode 100644
index 000000000000..b9e8ec25bd39
--- /dev/null
+++ b/autogpt_platform/frontend/scripts/generate-api-queries.ts
@@ -0,0 +1,61 @@
+#!/usr/bin/env node
+
+import { getAgptServerBaseUrl } from "@/lib/env-config";
+import { execSync } from "child_process";
+import * as path from "path";
+import * as fs from "fs";
+
+function fetchOpenApiSpec(): void {
+  const args = process.argv.slice(2);
+  const forceFlag = args.includes("--force");
+
+  const baseUrl = getAgptServerBaseUrl();
+  const openApiUrl = `${baseUrl}/openapi.json`;
+  const outputPath = path.join(
+    __dirname,
+    "..",
+    "src",
+    "app",
+    "api",
+    "openapi.json",
+  );
+
+  console.log(`Output path: ${outputPath}`);
+  console.log(`Force flag: ${forceFlag}`);
+
+  // Check if local file exists
+  const localFileExists = fs.existsSync(outputPath);
+
+  if (!forceFlag && localFileExists) {
+    console.log("✅ Using existing local OpenAPI spec file");
+    console.log("💡 Use --force flag to fetch from server");
+    return;
+  }
+
+  if (!localFileExists) {
+    console.log("📄 No local OpenAPI spec found, fetching from server...");
+  } else {
+    console.log(
+      "🔄 Force flag detected, fetching fresh OpenAPI spec from server...",
+    );
+  }
+
+  console.log(`Fetching OpenAPI spec from: ${openApiUrl}`);
+
+  try {
+    // Fetch the OpenAPI spec
+    execSync(`curl "${openApiUrl}" > "${outputPath}"`, { stdio: "inherit" });
+
+    // Format with prettier
+    execSync(`prettier --write "${outputPath}"`, { stdio: "inherit" });
+
+    console.log("✅ OpenAPI spec fetched and formatted successfully");
+  } catch (error) {
+    console.error("❌ Failed to fetch OpenAPI spec:", error);
+    process.exit(1);
+  }
+}
+
+if (require.main === module) {
+  fetchOpenApiSpec();
+}
diff --git a/autogpt_platform/frontend/sentry.client.config.ts b/autogpt_platform/frontend/sentry.client.config.ts
deleted file mode 100644
index bbfe73ea514e..000000000000
--- a/autogpt_platform/frontend/sentry.client.config.ts
+++ /dev/null
@@ -1,51 +0,0 @@
-// This file configures the initialization of Sentry on the client.
-// The config you add here will be used whenever a users loads a page in their browser.
-// https://docs.sentry.io/platforms/javascript/guides/nextjs/
-
-import * as Sentry from "@sentry/nextjs";
-
-Sentry.init({
-  dsn: "https://fe4e4aa4a283391808a5da396da20159@o4505260022104064.ingest.us.sentry.io/4507946746380288",
-
-  enabled: process.env.DISABLE_SENTRY !== "true",
-
-  // Add optional integrations for additional features
-  integrations: [
-    Sentry.replayIntegration(),
-    Sentry.httpClientIntegration(),
-    Sentry.replayCanvasIntegration(),
-    Sentry.reportingObserverIntegration(),
-    Sentry.browserProfilingIntegration(),
-    // Sentry.feedbackIntegration({
-    //   // Additional SDK configuration goes in here, for example:
-    //   colorScheme: "system",
-    // }),
-  ],
-
-  // Define how likely traces are sampled. Adjust this value in production, or use tracesSampler for greater control.
-  tracesSampleRate: 1,
-
-  // Set `tracePropagationTargets` to control for which URLs trace propagation should be enabled
-  tracePropagationTargets: [
-    "localhost",
-    /^https:\/\/dev\-builder\.agpt\.co\/api/,
-  ],
-
-  // Define how likely Replay events are sampled.
-  // This sets the sample rate to be 10%. You may want this to be 100% while
-  // in development and sample at a lower rate in production
-  replaysSessionSampleRate: 0.1,
-
-  // Define how likely Replay events are sampled when an error occurs.
-  replaysOnErrorSampleRate: 1.0,
-
-  // Setting this option to true will print useful information to the console while you're setting up Sentry.
-  debug: false,
-
-  // Set profilesSampleRate to 1.0 to profile every transaction.
-  // Since profilesSampleRate is relative to tracesSampleRate,
-  // the final profiling rate can be computed as tracesSampleRate * profilesSampleRate
-  // For example, a tracesSampleRate of 0.5 and profilesSampleRate of 0.5 would
-  // result in 25% of transactions being profiled (0.5*0.5=0.25)
-  profilesSampleRate: 1.0,
-});
diff --git a/autogpt_platform/frontend/sentry.edge.config.ts b/autogpt_platform/frontend/sentry.edge.config.ts
index 8a566e17b783..3f7007d45690 100644
--- a/autogpt_platform/frontend/sentry.edge.config.ts
+++ b/autogpt_platform/frontend/sentry.edge.config.ts
@@ -4,15 +4,32 @@
 // https://docs.sentry.io/platforms/javascript/guides/nextjs/
 
 import * as Sentry from "@sentry/nextjs";
+import { BehaveAs, getBehaveAs, getEnvironmentStr } from "./src/lib/utils";
+
+const isProductionCloud =
+  process.env.NODE_ENV === "production" && getBehaveAs() === BehaveAs.CLOUD;
 
 Sentry.init({
   dsn: "https://fe4e4aa4a283391808a5da396da20159@o4505260022104064.ingest.us.sentry.io/4507946746380288",
 
-  enabled: process.env.NODE_ENV !== "development",
+  environment: getEnvironmentStr(),
+
+  enabled: isProductionCloud,
 
   // Define how likely traces are sampled. Adjust this value in production, or use tracesSampler for greater control.
   tracesSampleRate: 1,
+  tracePropagationTargets: [
+    "localhost",
+    "localhost:8006",
+    /^https:\/\/dev\-builder\.agpt\.co\/api/,
+    /^https:\/\/.*\.agpt\.co\/api/,
+  ],
 
   // Setting this option to true will print useful information to the console while you're setting up Sentry.
   debug: false,
+
+  _experiments: {
+    // Enable logs to be sent to Sentry.
+    enableLogs: true,
+  },
 });
diff --git a/autogpt_platform/frontend/sentry.server.config.ts b/autogpt_platform/frontend/sentry.server.config.ts
index 20f0df5a3983..b93128805cd0 100644
--- a/autogpt_platform/frontend/sentry.server.config.ts
+++ b/autogpt_platform/frontend/sentry.server.config.ts
@@ -2,16 +2,28 @@
 // The config you add here will be used whenever the server handles a request.
 // https://docs.sentry.io/platforms/javascript/guides/nextjs/
 
+import { BehaveAs, getBehaveAs, getEnvironmentStr } from "@/lib/utils";
 import * as Sentry from "@sentry/nextjs";
 // import { NodeProfilingIntegration } from "@sentry/profiling-node";
 
+const isProductionCloud =
+  process.env.NODE_ENV === "production" && getBehaveAs() === BehaveAs.CLOUD;
+
 Sentry.init({
   dsn: "https://fe4e4aa4a283391808a5da396da20159@o4505260022104064.ingest.us.sentry.io/4507946746380288",
 
-  enabled: process.env.NODE_ENV !== "development",
+  environment: getEnvironmentStr(),
+
+  enabled: isProductionCloud,
 
   // Define how likely traces are sampled. Adjust this value in production, or use tracesSampler for greater control.
   tracesSampleRate: 1,
+  tracePropagationTargets: [
+    "localhost",
+    "localhost:8006",
+    /^https:\/\/dev\-builder\.agpt\.co\/api/,
+    /^https:\/\/.*\.agpt\.co\/api/,
+  ],
 
   // Setting this option to true will print useful information to the console while you're setting up Sentry.
   debug: false,
@@ -22,4 +34,9 @@ Sentry.init({
     // NodeProfilingIntegration,
     // Sentry.fsIntegration(),
   ],
+
+  _experiments: {
+    // Enable logs to be sent to Sentry.
+    enableLogs: true,
+  },
 });
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/1-welcome/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/1-welcome/page.tsx
new file mode 100644
index 000000000000..350e4f0a8839
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/1-welcome/page.tsx
@@ -0,0 +1,33 @@
+"use client";
+import { OnboardingText } from "@/components/onboarding/OnboardingText";
+import OnboardingButton from "@/components/onboarding/OnboardingButton";
+import Image from "next/image";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+
+export default function Page() {
+  useOnboarding(1);
+
+  return (
+    <>
+      <Image
+        src="/gpt_dark_RGB.svg"
+        alt="GPT Dark Logo"
+        className="-mb-2"
+        width={300}
+        height={300}
+      />
+      <OnboardingText className="mb-3" variant="header" center>
+        Welcome to AutoGPT
+      </OnboardingText>
+      <OnboardingText className="mb-12" center>
+        Think of AutoGPT as your digital teammate, working intelligently to
+        <br />
+        complete tasks based on your directions. Let&apos;s learn a bit about
+        you to
+        <br />
+        tailor your experience.
+      </OnboardingText>
+      <OnboardingButton href="/onboarding/2-reason">Continue</OnboardingButton>
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/2-reason/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/2-reason/page.tsx
new file mode 100644
index 000000000000..62a34184667b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/2-reason/page.tsx
@@ -0,0 +1,69 @@
+"use client";
+import OnboardingButton from "@/components/onboarding/OnboardingButton";
+import {
+  OnboardingFooter,
+  OnboardingHeader,
+  OnboardingStep,
+} from "@/components/onboarding/OnboardingStep";
+import { OnboardingText } from "@/components/onboarding/OnboardingText";
+import OnboardingList from "@/components/onboarding/OnboardingList";
+import { isEmptyOrWhitespace } from "@/lib/utils";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+
+const reasons = [
+  {
+    label: "Content & Marketing",
+    text: "Content creation, social media management, blogging, creative writing",
+    id: "content_marketing",
+  },
+  {
+    label: "Business & Workflow Automation",
+    text: "Operations, task management, productivity",
+    id: "business_workflow_automation",
+  },
+  {
+    label: "Data & Research",
+    text: "Data analysis, insights, research, financial operation",
+    id: "data_research",
+  },
+  {
+    label: "AI & Innovation",
+    text: "AI experimentation, automation testing, advanced AI applications",
+    id: "ai_innovation",
+  },
+  {
+    label: "Personal productivity",
+    text: "Automating daily tasks, organizing information, personal workflows",
+    id: "personal_productivity",
+  },
+];
+
+export default function Page() {
+  const { state, updateState } = useOnboarding(2, "WELCOME");
+
+  return (
+    <OnboardingStep>
+      <OnboardingHeader backHref={"/onboarding/1-welcome"}>
+        <OnboardingText className="mt-4" variant="header" center>
+          What&apos;s your main reason for using AutoGPT?
+        </OnboardingText>
+        <OnboardingText className="mt-1" center>
+          Select the option that best matches your needs
+        </OnboardingText>
+      </OnboardingHeader>
+      <OnboardingList
+        elements={reasons}
+        selectedId={state?.usageReason}
+        onSelect={(usageReason) => updateState({ usageReason })}
+      />
+      <OnboardingFooter>
+        <OnboardingButton
+          href="/onboarding/3-services"
+          disabled={isEmptyOrWhitespace(state?.usageReason)}
+        >
+          Next
+        </OnboardingButton>
+      </OnboardingFooter>
+    </OnboardingStep>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/3-services/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/3-services/page.tsx
new file mode 100644
index 000000000000..a7867aca50e1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/3-services/page.tsx
@@ -0,0 +1,171 @@
+"use client";
+import OnboardingButton from "@/components/onboarding/OnboardingButton";
+import {
+  OnboardingStep,
+  OnboardingHeader,
+  OnboardingFooter,
+} from "@/components/onboarding/OnboardingStep";
+import { OnboardingText } from "@/components/onboarding/OnboardingText";
+import { OnboardingGrid } from "@/components/onboarding/OnboardingGrid";
+import { useCallback } from "react";
+import OnboardingInput from "@/components/onboarding/OnboardingInput";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+
+const services = [
+  {
+    name: "D-ID",
+    text: "Generate AI-powered avatars and videos for dynamic content creation.",
+    icon: "/integrations/d-id.png",
+  },
+  {
+    name: "Discord",
+    text: "A chat platform for communities and teams, supporting text, voice, and video.",
+    icon: "/integrations/discord.png",
+  },
+  {
+    name: "GitHub",
+    text: "AutoGPT can track issues, manage repos, and automate workflows with GitHub.",
+    icon: "/integrations/github.png",
+  },
+  {
+    name: "Google Workspace",
+    text: "Automate emails, calendar events, and document management in AutoGPT with Google Workspace.",
+    icon: "/integrations/google.png",
+  },
+  {
+    name: "Google Maps",
+    text: "Fetch locations, directions, and real-time geodata for navigation.",
+    icon: "/integrations/maps.png",
+  },
+  {
+    name: "HubSpot",
+    text: "Manage customer relationships, automate marketing, and track sales.",
+    icon: "/integrations/hubspot.png",
+  },
+  {
+    name: "Linear",
+    text: "Streamline project management and issue tracking with a modern workflow.",
+    icon: "/integrations/linear.png",
+  },
+  {
+    name: "Medium",
+    text: "Publish and explore insightful content with a powerful writing platform.",
+    icon: "/integrations/medium.png",
+  },
+  {
+    name: "Mem0",
+    text: "AI-powered memory assistant for smarter data organization and recall.",
+    icon: "/integrations/mem0.png",
+  },
+  {
+    name: "Notion",
+    text: "Organize work, notes, and databases in an all-in-one workspace.",
+    icon: "/integrations/notion.png",
+  },
+  {
+    name: "NVIDIA",
+    text: "Accelerate AI, graphics, and computing with cutting-edge technology.",
+    icon: "/integrations/nvidia.jpg",
+  },
+  {
+    name: "OpenWeatherMap",
+    text: "Access real-time weather data and forecasts worldwide.",
+    icon: "/integrations/openweathermap.png",
+  },
+  {
+    name: "Pinecone",
+    text: "Store and search vector data for AI-driven applications.",
+    icon: "/integrations/pinecone.png",
+  },
+  {
+    name: "Reddit",
+    text: "Explore trending discussions and engage with online communities.",
+    icon: "/integrations/reddit.png",
+  },
+  {
+    name: "Slant3D",
+    text: "Automate and optimize 3D printing workflows with AI.",
+    icon: "/integrations/slant3d.jpeg",
+  },
+  {
+    name: "SMTP",
+    text: "Send and manage emails with secure and reliable delivery.",
+    icon: "/integrations/smtp.png",
+  },
+  {
+    name: "Todoist",
+    text: "Organize tasks and projects with a simple, intuitive to-do list.",
+    icon: "/integrations/todoist.png",
+  },
+  {
+    name: "Twitter (X)",
+    text: "Stay connected and share updates on the world's biggest conversation platform.",
+    icon: "/integrations/x.png",
+  },
+  {
+    name: "Unreal Speech",
+    text: "Generate natural-sounding AI voices for speech applications.",
+    icon: "/integrations/unreal-speech.png",
+  },
+];
+
+export default function Page() {
+  const { state, updateState } = useOnboarding(3, "USAGE_REASON");
+
+  const switchIntegration = useCallback(
+    (name: string) => {
+      if (!state) {
+        return;
+      }
+
+      const integrations = state.integrations.includes(name)
+        ? state.integrations.filter((i) => i !== name)
+        : [...state.integrations, name];
+
+      updateState({ integrations });
+    },
+    [state, updateState],
+  );
+
+  return (
+    <OnboardingStep>
+      <OnboardingHeader backHref={"/onboarding/2-reason"}>
+        <OnboardingText className="mt-4" variant="header" center>
+          What platforms or services would you like AutoGPT to work with?
+        </OnboardingText>
+        <OnboardingText className="mt-1" center>
+          You can select more than one option
+        </OnboardingText>
+      </OnboardingHeader>
+
+      <div className="w-fit">
+        <OnboardingText className="my-4" variant="subheader">
+          Available integrations
+        </OnboardingText>
+        <OnboardingGrid
+          elements={services}
+          selected={state?.integrations}
+          onSelect={switchIntegration}
+        />
+        <OnboardingText className="mt-12" variant="subheader">
+          Help us grow our integrations
+        </OnboardingText>
+        <OnboardingText className="my-4">
+          Let us know which partnerships you&apos;d like to see next
+        </OnboardingText>
+        <OnboardingInput
+          className="mb-4"
+          placeholder="Others (please specify)"
+          value={state?.otherIntegrations || ""}
+          onChange={(otherIntegrations) => updateState({ otherIntegrations })}
+        />
+      </div>
+
+      <OnboardingFooter>
+        <OnboardingButton className="mb-2" href="/onboarding/4-agent">
+          Next
+        </OnboardingButton>
+      </OnboardingFooter>
+    </OnboardingStep>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/4-agent/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/4-agent/page.tsx
new file mode 100644
index 000000000000..e8115b63b333
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/4-agent/page.tsx
@@ -0,0 +1,102 @@
+"use client";
+import OnboardingButton from "@/components/onboarding/OnboardingButton";
+import {
+  OnboardingFooter,
+  OnboardingHeader,
+  OnboardingStep,
+} from "@/components/onboarding/OnboardingStep";
+import { OnboardingText } from "@/components/onboarding/OnboardingText";
+import OnboardingAgentCard from "@/components/onboarding/OnboardingAgentCard";
+import { useEffect, useState } from "react";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { StoreAgentDetails } from "@/lib/autogpt-server-api";
+import { finishOnboarding } from "../6-congrats/actions";
+import { isEmptyOrWhitespace } from "@/lib/utils";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+
+export default function Page() {
+  const { state, updateState } = useOnboarding(4, "INTEGRATIONS");
+  const [agents, setAgents] = useState<StoreAgentDetails[]>([]);
+  const api = useBackendAPI();
+
+  useEffect(() => {
+    api.getOnboardingAgents().then((agents) => {
+      if (agents.length < 2) {
+        finishOnboarding();
+      }
+      setAgents(agents);
+    });
+  }, [api, setAgents]);
+
+  useEffect(() => {
+    // Deselect agent if it's not in the list of agents
+    if (
+      state?.selectedStoreListingVersionId &&
+      agents.length > 0 &&
+      !agents.some(
+        (agent) =>
+          agent.store_listing_version_id ===
+          state.selectedStoreListingVersionId,
+      )
+    ) {
+      updateState({
+        selectedStoreListingVersionId: null,
+        agentInput: {},
+      });
+    }
+  }, [state?.selectedStoreListingVersionId, updateState, agents]);
+
+  return (
+    <OnboardingStep>
+      <OnboardingHeader backHref={"/onboarding/3-services"}>
+        <OnboardingText className="mt-4" variant="header" center>
+          Choose an agent
+        </OnboardingText>
+        <OnboardingText className="mt-1" center>
+          We think these agents are a good match for you based on your answers
+        </OnboardingText>
+      </OnboardingHeader>
+
+      <div className="my-12 flex items-center justify-between gap-5">
+        <OnboardingAgentCard
+          agent={agents[0]}
+          selected={
+            agents[0] !== undefined
+              ? state?.selectedStoreListingVersionId ==
+                agents[0]?.store_listing_version_id
+              : false
+          }
+          onClick={() =>
+            updateState({
+              selectedStoreListingVersionId: agents[0].store_listing_version_id,
+              agentInput: {},
+            })
+          }
+        />
+        <OnboardingAgentCard
+          agent={agents[1]}
+          selected={
+            agents[1] !== undefined
+              ? state?.selectedStoreListingVersionId ==
+                agents[1]?.store_listing_version_id
+              : false
+          }
+          onClick={() =>
+            updateState({
+              selectedStoreListingVersionId: agents[1].store_listing_version_id,
+            })
+          }
+        />
+      </div>
+
+      <OnboardingFooter>
+        <OnboardingButton
+          href="/onboarding/5-run"
+          disabled={isEmptyOrWhitespace(state?.selectedStoreListingVersionId)}
+        >
+          Next
+        </OnboardingButton>
+      </OnboardingFooter>
+    </OnboardingStep>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/5-run/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/5-run/page.tsx
new file mode 100644
index 000000000000..a6e117afd177
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/5-run/page.tsx
@@ -0,0 +1,269 @@
+"use client";
+import SmartImage from "@/components/agptui/SmartImage";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import OnboardingButton from "@/components/onboarding/OnboardingButton";
+import {
+  OnboardingHeader,
+  OnboardingStep,
+} from "@/components/onboarding/OnboardingStep";
+import { OnboardingText } from "@/components/onboarding/OnboardingText";
+import StarRating from "@/components/onboarding/StarRating";
+import SchemaTooltip from "@/components/SchemaTooltip";
+import { TypeBasedInput } from "@/components/type-based-input";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { GraphMeta, StoreAgentDetails } from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { cn } from "@/lib/utils";
+import { Play } from "lucide-react";
+import { useRouter } from "next/navigation";
+import { useCallback, useEffect, useState } from "react";
+
+export default function Page() {
+  const { state, updateState, setStep } = useOnboarding(
+    undefined,
+    "AGENT_CHOICE",
+  );
+  const [showInput, setShowInput] = useState(false);
+  const [agent, setAgent] = useState<GraphMeta | null>(null);
+  const [storeAgent, setStoreAgent] = useState<StoreAgentDetails | null>(null);
+  const [runningAgent, setRunningAgent] = useState(false);
+  const { toast } = useToast();
+  const router = useRouter();
+  const api = useBackendAPI();
+
+  useEffect(() => {
+    setStep(5);
+  }, [setStep]);
+
+  useEffect(() => {
+    if (!state?.selectedStoreListingVersionId) {
+      return;
+    }
+    api
+      .getStoreAgentByVersionId(state?.selectedStoreListingVersionId)
+      .then((storeAgent) => {
+        setStoreAgent(storeAgent);
+      });
+    api
+      .getGraphMetaByStoreListingVersionID(state.selectedStoreListingVersionId)
+      .then((agent) => {
+        setAgent(agent);
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        const update: { [key: string]: any } = {};
+        // Set default values from schema
+        Object.entries(agent.input_schema.properties).forEach(
+          ([key, value]) => {
+            // Skip if already set
+            if (state.agentInput && state.agentInput[key]) {
+              update[key] = state.agentInput[key];
+              return;
+            }
+            update[key] = value.type !== "null" ? value.default || "" : "";
+          },
+        );
+        updateState({
+          agentInput: update,
+        });
+      });
+  }, [api, setAgent, updateState, state?.selectedStoreListingVersionId]);
+
+  const setAgentInput = useCallback(
+    (key: string, value: string) => {
+      updateState({
+        agentInput: {
+          ...state?.agentInput,
+          [key]: value,
+        },
+      });
+    },
+    [state?.agentInput, updateState],
+  );
+
+  const runAgent = useCallback(async () => {
+    if (!agent) {
+      return;
+    }
+    setRunningAgent(true);
+    try {
+      const libraryAgent = await api.addMarketplaceAgentToLibrary(
+        storeAgent?.store_listing_version_id || "",
+      );
+      const { graph_exec_id } = await api.executeGraph(
+        libraryAgent.graph_id,
+        libraryAgent.graph_version,
+        state?.agentInput || {},
+      );
+      updateState({
+        onboardingAgentExecutionId: graph_exec_id,
+        agentRuns: (state?.agentRuns || 0) + 1,
+      });
+      router.push("/onboarding/6-congrats");
+    } catch (error) {
+      console.error("Error running agent:", error);
+      toast({
+        title: "Error running agent",
+        description:
+          "There was an error running your agent. Please try again or try choosing a different agent if it still fails.",
+        variant: "destructive",
+      });
+      setRunningAgent(false);
+    }
+  }, [api, agent, router, state?.agentInput, storeAgent, updateState, toast]);
+
+  const runYourAgent = (
+    <div className="ml-[104px] w-[481px] pl-5">
+      <div className="flex flex-col">
+        <OnboardingText variant="header">Run your first agent</OnboardingText>
+        <span className="mt-9 text-base font-normal leading-normal text-zinc-600">
+          A &apos;run&apos; is when your agent starts working on a task
+        </span>
+        <span className="mt-4 text-base font-normal leading-normal text-zinc-600">
+          Click on <b>New Run</b> below to try it out
+        </span>
+
+        <div
+          onClick={() => {
+            setShowInput(true);
+            setStep(6);
+            updateState({
+              completedSteps: [
+                ...(state?.completedSteps || []),
+                "AGENT_NEW_RUN",
+              ],
+            });
+          }}
+          className={cn(
+            "mt-16 flex h-[68px] w-[330px] items-center justify-center rounded-xl border-2 border-violet-700 bg-neutral-50",
+            "cursor-pointer transition-all duration-200 ease-in-out hover:bg-violet-50",
+          )}
+        >
+          <svg
+            width="38"
+            height="38"
+            viewBox="0 0 32 32"
+            xmlns="http://www.w3.org/2000/svg"
+          >
+            <g stroke="#6d28d9" strokeWidth="1.2" strokeLinecap="round">
+              <line x1="16" y1="8" x2="16" y2="24" />
+              <line x1="8" y1="16" x2="24" y2="16" />
+            </g>
+          </svg>
+          <span className="ml-3 font-sans text-[19px] font-medium leading-normal text-violet-700">
+            New run
+          </span>
+        </div>
+      </div>
+    </div>
+  );
+
+  return (
+    <OnboardingStep dotted>
+      <OnboardingHeader backHref={"/onboarding/4-agent"} transparent />
+      {/* Agent card */}
+      <div className="fixed left-1/4 top-1/2 w-[481px] -translate-x-1/2 -translate-y-1/2">
+        <div className="h-[156px] w-[481px] rounded-xl bg-white px-6 pb-5 pt-4">
+          <span className="font-sans text-xs font-medium tracking-wide text-zinc-500">
+            SELECTED AGENT
+          </span>
+          {storeAgent ? (
+            <div className="mt-4 flex h-20 rounded-lg bg-violet-50 p-2">
+              {/* Left image */}
+              <SmartImage
+                src={storeAgent?.agent_image[0]}
+                alt="Agent cover"
+                imageContain
+                className="w-[350px] rounded-lg"
+              />
+              {/* Right content */}
+              <div className="ml-2 flex flex-1 flex-col">
+                <span className="w-[292px] truncate font-sans text-[14px] font-medium leading-normal text-zinc-800">
+                  {storeAgent?.agent_name}
+                </span>
+                <span className="mt-[5px] w-[292px] truncate font-sans text-xs font-normal leading-tight text-zinc-600">
+                  by {storeAgent?.creator}
+                </span>
+                <div className="mt-auto flex w-[292px] justify-between">
+                  <span className="mt-1 truncate font-sans text-xs font-normal leading-tight text-zinc-600">
+                    {storeAgent?.runs.toLocaleString("en-US")} runs
+                  </span>
+                  <StarRating
+                    className="font-sans text-xs font-normal leading-tight text-zinc-600"
+                    starSize={12}
+                    rating={storeAgent?.rating || 0}
+                  />
+                </div>
+              </div>
+            </div>
+          ) : (
+            <div className="mt-4 flex h-20 animate-pulse rounded-lg bg-gray-300 p-2" />
+          )}
+        </div>
+      </div>
+      <div className="flex min-h-[80vh] items-center justify-center">
+        {/* Left side */}
+        <div className="w-[481px]" />
+        {/* Right side */}
+        {!showInput ? (
+          runYourAgent
+        ) : (
+          <div className="ml-[104px] w-[481px] pl-5">
+            <div className="flex flex-col">
+              <OnboardingText variant="header">
+                Provide details for your agent
+              </OnboardingText>
+              <span className="mt-9 text-base font-normal leading-normal text-zinc-600">
+                Give your agent the details it needs to work—just enter <br />
+                the key information and get started.
+              </span>
+              <span className="mt-4 text-base font-normal leading-normal text-zinc-600">
+                When you&apos;re done, click <b>Run Agent</b>.
+              </span>
+              <Card className="agpt-box mt-4">
+                <CardHeader>
+                  <CardTitle className="font-poppins text-lg">Input</CardTitle>
+                </CardHeader>
+                <CardContent className="flex flex-col gap-4">
+                  {Object.entries(agent?.input_schema.properties || {}).map(
+                    ([key, inputSubSchema]) => (
+                      <div key={key} className="flex flex-col space-y-2">
+                        <label className="flex items-center gap-1 text-sm font-medium">
+                          {inputSubSchema.title || key}
+                          <SchemaTooltip
+                            description={inputSubSchema.description}
+                          />
+                        </label>
+                        <TypeBasedInput
+                          schema={inputSubSchema}
+                          value={state?.agentInput?.[key]}
+                          placeholder={inputSubSchema.description}
+                          onChange={(value) => setAgentInput(key, value)}
+                        />
+                      </div>
+                    ),
+                  )}
+                </CardContent>
+              </Card>
+              <OnboardingButton
+                variant="violet"
+                className="mt-8 w-[136px]"
+                loading={runningAgent}
+                disabled={
+                  Object.values(state?.agentInput || {}).some(
+                    (value) => String(value).trim() === "",
+                  ) ||
+                  !agent ||
+                  runningAgent
+                }
+                onClick={runAgent}
+                icon={<Play className="mr-2" size={18} />}
+              >
+                Run agent
+              </OnboardingButton>
+            </div>
+          </div>
+        )}
+      </div>
+    </OnboardingStep>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/6-congrats/actions.ts b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/6-congrats/actions.ts
new file mode 100644
index 000000000000..202bad57bdc2
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/6-congrats/actions.ts
@@ -0,0 +1,18 @@
+"use server";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { revalidatePath } from "next/cache";
+import { redirect } from "next/navigation";
+
+export async function finishOnboarding() {
+  const api = new BackendAPI();
+  const onboarding = await api.getUserOnboarding();
+  const listingId = onboarding?.selectedStoreListingVersionId;
+  if (listingId) {
+    const libraryAgent = await api.addMarketplaceAgentToLibrary(listingId);
+    revalidatePath(`/library/agents/${libraryAgent.id}`, "layout");
+    redirect(`/library/agents/${libraryAgent.id}`);
+  } else {
+    revalidatePath("/library", "layout");
+    redirect("/library");
+  }
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/6-congrats/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/6-congrats/page.tsx
new file mode 100644
index 000000000000..2dfdd3dbc002
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/6-congrats/page.tsx
@@ -0,0 +1,74 @@
+"use client";
+import { useEffect, useRef, useState } from "react";
+import { cn } from "@/lib/utils";
+import { finishOnboarding } from "./actions";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import * as party from "party-js";
+
+export default function Page() {
+  const { completeStep } = useOnboarding(7, "AGENT_INPUT");
+  const [showText, setShowText] = useState(false);
+  const [showSubtext, setShowSubtext] = useState(false);
+  const divRef = useRef(null);
+
+  useEffect(() => {
+    if (divRef.current) {
+      party.confetti(divRef.current, {
+        count: 100,
+        spread: 180,
+        shapes: ["square", "circle"],
+        size: party.variation.range(2, 2.5),
+        speed: party.variation.range(300, 1000),
+      });
+    }
+
+    const timer0 = setTimeout(() => {
+      setShowText(true);
+    }, 100);
+
+    const timer1 = setTimeout(() => {
+      setShowSubtext(true);
+    }, 500);
+
+    const timer2 = setTimeout(() => {
+      completeStep("CONGRATS");
+      finishOnboarding();
+    }, 3000);
+
+    return () => {
+      clearTimeout(timer0);
+      clearTimeout(timer1);
+      clearTimeout(timer2);
+    };
+  }, []);
+
+  return (
+    <div className="flex h-screen w-screen flex-col items-center justify-center bg-violet-100">
+      <div
+        ref={divRef}
+        className={cn(
+          "z-10 -mb-16 text-9xl duration-500",
+          showText ? "opacity-100" : "opacity-0",
+        )}
+      >
+        🎉
+      </div>
+      <h1
+        className={cn(
+          "font-poppins text-9xl font-medium tracking-tighter text-violet-700 duration-500",
+          showText ? "opacity-100" : "opacity-0",
+        )}
+      >
+        Congrats!
+      </h1>
+      <p
+        className={cn(
+          "mb-16 mt-4 font-poppins text-2xl font-medium text-violet-800 transition-opacity duration-500",
+          showSubtext ? "opacity-100" : "opacity-0",
+        )}
+      >
+        You earned 3$ for running your first agent
+      </p>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/layout.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/layout.tsx
new file mode 100644
index 000000000000..8875d5f37c21
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/layout.tsx
@@ -0,0 +1,15 @@
+import { ReactNode } from "react";
+
+export default function OnboardingLayout({
+  children,
+}: {
+  children: ReactNode;
+}) {
+  return (
+    <div className="flex min-h-screen w-full items-center justify-center bg-gray-100">
+      <main className="mx-auto flex w-full flex-col items-center">
+        {children}
+      </main>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/page.tsx b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/page.tsx
new file mode 100644
index 000000000000..8d5cd5db04b1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/page.tsx
@@ -0,0 +1,35 @@
+import BackendAPI from "@/lib/autogpt-server-api";
+import { redirect } from "next/navigation";
+import { finishOnboarding } from "./6-congrats/actions";
+
+// Force dynamic rendering to avoid static generation issues with cookies
+export const dynamic = "force-dynamic";
+
+export default async function OnboardingPage() {
+  const api = new BackendAPI();
+
+  if (!api.isOnboardingEnabled()) {
+    redirect("/marketplace");
+  }
+
+  const onboarding = await api.getUserOnboarding();
+
+  // CONGRATS is the last step in intro onboarding
+  if (onboarding.completedSteps.includes("GET_RESULTS"))
+    redirect("/marketplace");
+  else if (onboarding.completedSteps.includes("CONGRATS")) finishOnboarding();
+  else if (onboarding.completedSteps.includes("AGENT_INPUT"))
+    redirect("/onboarding/5-run");
+  else if (onboarding.completedSteps.includes("AGENT_NEW_RUN"))
+    redirect("/onboarding/5-run");
+  else if (onboarding.completedSteps.includes("AGENT_CHOICE"))
+    redirect("/onboarding/5-agent");
+  else if (onboarding.completedSteps.includes("INTEGRATIONS"))
+    redirect("/onboarding/4-agent");
+  else if (onboarding.completedSteps.includes("USAGE_REASON"))
+    redirect("/onboarding/3-services");
+  else if (onboarding.completedSteps.includes("WELCOME"))
+    redirect("/onboarding/2-reason");
+
+  redirect("/onboarding/1-welcome");
+}
diff --git a/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/reset/page.ts b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/reset/page.ts
new file mode 100644
index 000000000000..65f36a14f2c8
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(no-navbar)/onboarding/reset/page.ts
@@ -0,0 +1,18 @@
+import BackendAPI from "@/lib/autogpt-server-api";
+import { redirect } from "next/navigation";
+
+export default async function OnboardingResetPage() {
+  const api = new BackendAPI();
+  await api.updateUserOnboarding({
+    completedSteps: [],
+    notificationDot: true,
+    notified: [],
+    usageReason: null,
+    integrations: [],
+    otherIntegrations: "",
+    selectedStoreListingVersionId: null,
+    agentInput: {},
+    onboardingAgentExecutionId: null,
+  });
+  redirect("/onboarding/1-welcome");
+}
diff --git a/autogpt_platform/frontend/src/app/admin/dashboard/page.tsx b/autogpt_platform/frontend/src/app/(platform)/admin/dashboard/page.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/app/admin/dashboard/page.tsx
rename to autogpt_platform/frontend/src/app/(platform)/admin/dashboard/page.tsx
diff --git a/autogpt_platform/frontend/src/app/(platform)/admin/layout.tsx b/autogpt_platform/frontend/src/app/(platform)/admin/layout.tsx
new file mode 100644
index 000000000000..bfb2b2695db3
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/admin/layout.tsx
@@ -0,0 +1,39 @@
+import { Sidebar } from "@/components/agptui/Sidebar";
+import { Users, DollarSign } from "lucide-react";
+
+import { IconSliders } from "@/components/ui/icons";
+
+const sidebarLinkGroups = [
+  {
+    links: [
+      {
+        text: "Marketplace Management",
+        href: "/admin/marketplace",
+        icon: <Users className="h-6 w-6" />,
+      },
+      {
+        text: "User Spending",
+        href: "/admin/spending",
+        icon: <DollarSign className="h-6 w-6" />,
+      },
+      {
+        text: "Admin User Management",
+        href: "/admin/settings",
+        icon: <IconSliders className="h-6 w-6" />,
+      },
+    ],
+  },
+];
+
+export default function AdminLayout({
+  children,
+}: {
+  children: React.ReactNode;
+}) {
+  return (
+    <div className="flex min-h-screen w-screen flex-col lg:flex-row">
+      <Sidebar linkGroups={sidebarLinkGroups} />
+      <div className="flex-1 pl-4">{children}</div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/admin/marketplace/actions.ts b/autogpt_platform/frontend/src/app/(platform)/admin/marketplace/actions.ts
new file mode 100644
index 000000000000..480e79e669ec
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/admin/marketplace/actions.ts
@@ -0,0 +1,62 @@
+"use server";
+
+import { revalidatePath } from "next/cache";
+import BackendApi from "@/lib/autogpt-server-api";
+import {
+  StoreListingsWithVersionsResponse,
+  SubmissionStatus,
+} from "@/lib/autogpt-server-api/types";
+
+export async function approveAgent(formData: FormData) {
+  const data = {
+    store_listing_version_id: formData.get("id") as string,
+    is_approved: true,
+    comments: formData.get("comments") as string,
+  };
+  const api = new BackendApi();
+  await api.reviewSubmissionAdmin(data.store_listing_version_id, data);
+
+  revalidatePath("/admin/marketplace");
+}
+
+export async function rejectAgent(formData: FormData) {
+  const data = {
+    store_listing_version_id: formData.get("id") as string,
+    is_approved: false,
+    comments: formData.get("comments") as string,
+    internal_comments: formData.get("internal_comments") as string,
+  };
+  const api = new BackendApi();
+  await api.reviewSubmissionAdmin(data.store_listing_version_id, data);
+
+  revalidatePath("/admin/marketplace");
+}
+
+export async function getAdminListingsWithVersions(
+  status?: SubmissionStatus,
+  search?: string,
+  page: number = 1,
+  pageSize: number = 20,
+): Promise<StoreListingsWithVersionsResponse> {
+  const data: Record<string, any> = {
+    page,
+    page_size: pageSize,
+  };
+
+  if (status) {
+    data.status = status;
+  }
+
+  if (search) {
+    data.search = search;
+  }
+  const api = new BackendApi();
+  const response = await api.getAdminListingsWithVersions(data);
+  return response;
+}
+
+export async function downloadAsAdmin(storeListingVersion: string) {
+  const api = new BackendApi();
+  const file = await api.downloadStoreAgentAdmin(storeListingVersion);
+  return file;
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/admin/marketplace/page.tsx b/autogpt_platform/frontend/src/app/(platform)/admin/marketplace/page.tsx
new file mode 100644
index 000000000000..d4df2e5b7727
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/admin/marketplace/page.tsx
@@ -0,0 +1,60 @@
+import { withRoleAccess } from "@/lib/withRoleAccess";
+import { Suspense } from "react";
+import type { SubmissionStatus } from "@/lib/autogpt-server-api/types";
+import { AdminAgentsDataTable } from "@/components/admin/marketplace/admin-agents-data-table";
+
+type MarketplaceAdminPageSearchParams = {
+  page?: string;
+  status?: string;
+  search?: string;
+};
+
+async function AdminMarketplaceDashboard({
+  searchParams,
+}: {
+  searchParams: MarketplaceAdminPageSearchParams;
+}) {
+  const page = searchParams.page ? Number.parseInt(searchParams.page) : 1;
+  const status = searchParams.status as SubmissionStatus | undefined;
+  const search = searchParams.search;
+
+  return (
+    <div className="mx-auto p-6">
+      <div className="flex flex-col gap-4">
+        <div className="flex items-center justify-between">
+          <div>
+            <h1 className="text-3xl font-bold">Marketplace Management</h1>
+            <p className="text-gray-500">
+              Unified view for marketplace management and approval history
+            </p>
+          </div>
+        </div>
+
+        <Suspense
+          fallback={
+            <div className="py-10 text-center">Loading submissions...</div>
+          }
+        >
+          <AdminAgentsDataTable
+            initialPage={page}
+            initialStatus={status}
+            initialSearch={search}
+          />
+        </Suspense>
+      </div>
+    </div>
+  );
+}
+
+export default async function AdminMarketplacePage({
+  searchParams,
+}: {
+  searchParams: Promise<MarketplaceAdminPageSearchParams>;
+}) {
+  "use server";
+  const withAdminAccess = await withRoleAccess(["admin"]);
+  const ProtectedAdminMarketplace = await withAdminAccess(
+    AdminMarketplaceDashboard,
+  );
+  return <ProtectedAdminMarketplace searchParams={await searchParams} />;
+}
diff --git a/autogpt_platform/frontend/src/app/admin/settings/page.tsx b/autogpt_platform/frontend/src/app/(platform)/admin/settings/page.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/app/admin/settings/page.tsx
rename to autogpt_platform/frontend/src/app/(platform)/admin/settings/page.tsx
diff --git a/autogpt_platform/frontend/src/app/(platform)/admin/spending/actions.ts b/autogpt_platform/frontend/src/app/(platform)/admin/spending/actions.ts
new file mode 100644
index 000000000000..f6d8ad40db1c
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/admin/spending/actions.ts
@@ -0,0 +1,41 @@
+"use server";
+
+import { revalidatePath } from "next/cache";
+import BackendApi from "@/lib/autogpt-server-api";
+import {
+  UsersBalanceHistoryResponse,
+  CreditTransactionType,
+} from "@/lib/autogpt-server-api/types";
+
+export async function addDollars(formData: FormData) {
+  const data = {
+    user_id: formData.get("id") as string,
+    amount: parseInt(formData.get("amount") as string),
+    comments: formData.get("comments") as string,
+  };
+  const api = new BackendApi();
+  await api.addUserCredits(data.user_id, data.amount, data.comments);
+  revalidatePath("/admin/spending");
+}
+
+export async function getUsersTransactionHistory(
+  page: number = 1,
+  pageSize: number = 20,
+  search?: string,
+  transactionType?: CreditTransactionType,
+): Promise<UsersBalanceHistoryResponse> {
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  const data: Record<string, any> = {
+    page,
+    page_size: pageSize,
+  };
+  if (search) {
+    data.search = search;
+  }
+  if (transactionType) {
+    data.transaction_filter = transactionType;
+  }
+  const api = new BackendApi();
+  const history = await api.getUsersHistory(data);
+  return history;
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/admin/spending/page.tsx b/autogpt_platform/frontend/src/app/(platform)/admin/spending/page.tsx
new file mode 100644
index 000000000000..2b741102d10e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/admin/spending/page.tsx
@@ -0,0 +1,57 @@
+import { AdminUserGrantHistory } from "@/components/admin/spending/admin-grant-history-data-table";
+import type { CreditTransactionType } from "@/lib/autogpt-server-api";
+import { withRoleAccess } from "@/lib/withRoleAccess";
+import { Suspense } from "react";
+
+type SpendingDashboardPageSearchParams = {
+  page?: string;
+  status?: string;
+  search?: string;
+};
+
+function SpendingDashboard({
+  searchParams,
+}: {
+  searchParams: SpendingDashboardPageSearchParams;
+}) {
+  const page = searchParams.page ? Number.parseInt(searchParams.page) : 1;
+  const search = searchParams.search;
+  const status = searchParams.status as CreditTransactionType | undefined;
+
+  return (
+    <div className="mx-auto p-6">
+      <div className="flex flex-col gap-4">
+        <div className="flex items-center justify-between">
+          <div>
+            <h1 className="text-3xl font-bold">User Spending</h1>
+            <p className="text-gray-500">Manage user spending balances</p>
+          </div>
+        </div>
+
+        <Suspense
+          key={`${page}-${status}-${search}`}
+          fallback={
+            <div className="py-10 text-center">Loading submissions...</div>
+          }
+        >
+          <AdminUserGrantHistory
+            initialPage={page}
+            initialStatus={status}
+            initialSearch={search}
+          />
+        </Suspense>
+      </div>
+    </div>
+  );
+}
+
+export default async function SpendingDashboardPage({
+  searchParams,
+}: {
+  searchParams: Promise<SpendingDashboardPageSearchParams>;
+}) {
+  "use server";
+  const withAdminAccess = await withRoleAccess(["admin"]);
+  const ProtectedSpendingDashboard = await withAdminAccess(SpendingDashboard);
+  return <ProtectedSpendingDashboard searchParams={await searchParams} />;
+}
diff --git a/autogpt_platform/frontend/src/app/admin/users/page.tsx b/autogpt_platform/frontend/src/app/(platform)/admin/users/page.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/app/admin/users/page.tsx
rename to autogpt_platform/frontend/src/app/(platform)/admin/users/page.tsx
diff --git a/autogpt_platform/frontend/src/app/(platform)/auth/auth-code-error/page.tsx b/autogpt_platform/frontend/src/app/(platform)/auth/auth-code-error/page.tsx
new file mode 100644
index 000000000000..d87cac27228a
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/auth/auth-code-error/page.tsx
@@ -0,0 +1,37 @@
+"use client";
+
+import { isServerSide } from "@/lib/utils/is-server-side";
+import { useEffect, useState } from "react";
+
+export default function AuthErrorPage() {
+  const [errorType, setErrorType] = useState<string | null>(null);
+  const [errorCode, setErrorCode] = useState<string | null>(null);
+  const [errorDescription, setErrorDescription] = useState<string | null>(null);
+
+  useEffect(() => {
+    // This code only runs on the client side
+    if (!isServerSide()) {
+      const hash = window.location.hash.substring(1); // Remove the leading '#'
+      const params = new URLSearchParams(hash);
+
+      setErrorType(params.get("error"));
+      setErrorCode(params.get("error_code"));
+      setErrorDescription(
+        params.get("error_description")?.replace(/\+/g, " ") ?? null,
+      ); // Replace '+' with space
+    }
+  }, []);
+
+  if (!errorType && !errorCode && !errorDescription) {
+    return <div>Loading...</div>;
+  }
+
+  return (
+    <div>
+      <h1>Authentication Error</h1>
+      {errorType && <p>Error Type: {errorType}</p>}
+      {errorCode && <p>Error Code: {errorCode}</p>}
+      {errorDescription && <p>Error Description: {errorDescription}</p>}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/auth/callback/route.ts b/autogpt_platform/frontend/src/app/(platform)/auth/callback/route.ts
new file mode 100644
index 000000000000..62e324761e57
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/auth/callback/route.ts
@@ -0,0 +1,74 @@
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { NextResponse } from "next/server";
+import { revalidatePath } from "next/cache";
+
+async function shouldShowOnboarding() {
+  const api = new BackendAPI();
+  return (
+    (await api.isOnboardingEnabled()) &&
+    !(await api.getUserOnboarding()).completedSteps.includes("CONGRATS")
+  );
+}
+
+// Validate redirect URL to prevent open redirect attacks
+function validateRedirectUrl(url: string): string {
+  // Only allow relative URLs that start with /
+  if (url.startsWith("/") && !url.startsWith("//")) {
+    return url;
+  }
+  // Default to home page for any invalid URLs
+  return "/";
+}
+
+// Handle the callback to complete the user session login
+export async function GET(request: Request) {
+  const { searchParams, origin } = new URL(request.url);
+  const code = searchParams.get("code");
+
+  // if "next" is in param, use it as the redirect URL
+  const nextParam = searchParams.get("next") ?? "/";
+  // Validate redirect URL to prevent open redirect attacks
+  let next = validateRedirectUrl(nextParam);
+
+  if (code) {
+    const supabase = await getServerSupabase();
+
+    if (!supabase) {
+      return NextResponse.redirect(`${origin}/error`);
+    }
+
+    const { error } = await supabase.auth.exchangeCodeForSession(code);
+    // data.session?.refresh_token is available if you need to store it for later use
+    if (!error) {
+      try {
+        const api = new BackendAPI();
+        await api.createUser();
+
+        if (await shouldShowOnboarding()) {
+          next = "/onboarding";
+          revalidatePath("/onboarding", "layout");
+        } else {
+          revalidatePath("/", "layout");
+        }
+      } catch (createUserError) {
+        console.error("Error creating user:", createUserError);
+        // Continue with redirect even if createUser fails
+      }
+
+      const forwardedHost = request.headers.get("x-forwarded-host"); // original origin before load balancer
+      const isLocalEnv = process.env.NODE_ENV === "development";
+      if (isLocalEnv) {
+        // we can be sure that there is no load balancer in between, so no need to watch for X-Forwarded-Host
+        return NextResponse.redirect(`${origin}${next}`);
+      } else if (forwardedHost) {
+        return NextResponse.redirect(`https://${forwardedHost}${next}`);
+      } else {
+        return NextResponse.redirect(`${origin}${next}`);
+      }
+    }
+  }
+
+  // return the user to an error page with instructions
+  return NextResponse.redirect(`${origin}/auth/auth-code-error`);
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/auth/confirm/route.ts b/autogpt_platform/frontend/src/app/(platform)/auth/confirm/route.ts
new file mode 100644
index 000000000000..a9b7c6f751c5
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/auth/confirm/route.ts
@@ -0,0 +1,33 @@
+import { type EmailOtpType } from "@supabase/supabase-js";
+import { type NextRequest } from "next/server";
+
+import { redirect } from "next/navigation";
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+
+// Email confirmation route
+export async function GET(request: NextRequest) {
+  const { searchParams } = new URL(request.url);
+  const token_hash = searchParams.get("token_hash");
+  const type = searchParams.get("type") as EmailOtpType | null;
+  const next = searchParams.get("next") ?? "/";
+
+  if (token_hash && type) {
+    const supabase = await getServerSupabase();
+
+    if (!supabase) {
+      redirect("/error");
+    }
+
+    const { error } = await supabase.auth.verifyOtp({
+      type,
+      token_hash,
+    });
+    if (!error) {
+      // redirect user to specified redirect URL or root of app
+      redirect(next);
+    }
+  }
+
+  // redirect the user to an error page with some instructions
+  redirect("/error");
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/auth/integrations/oauth_callback/route.ts b/autogpt_platform/frontend/src/app/(platform)/auth/integrations/oauth_callback/route.ts
new file mode 100644
index 000000000000..18e74369df41
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/auth/integrations/oauth_callback/route.ts
@@ -0,0 +1,41 @@
+import { OAuthPopupResultMessage } from "@/components/integrations/credentials-input";
+import { NextResponse } from "next/server";
+
+// This route is intended to be used as the callback for integration OAuth flows,
+// controlled by the CredentialsInput component. The CredentialsInput opens the login
+// page in a pop-up window, which then redirects to this route to close the loop.
+export async function GET(request: Request) {
+  const { searchParams } = new URL(request.url);
+  const code = searchParams.get("code");
+  const state = searchParams.get("state");
+
+  console.debug("OAuth callback received:", { code, state });
+
+  const message: OAuthPopupResultMessage =
+    code && state
+      ? { message_type: "oauth_popup_result", success: true, code, state }
+      : {
+          message_type: "oauth_popup_result",
+          success: false,
+          message: `Incomplete query: ${searchParams.toString()}`,
+        };
+
+  console.debug("Sending message to opener:", message);
+
+  // Return a response with the message as JSON and a script to close the window
+  return new NextResponse(
+    `
+    <html>
+      <body>
+        <script>
+          window.opener.postMessage(${JSON.stringify(message)});
+          window.close();
+        </script>
+      </body>
+    </html>
+    `,
+    {
+      headers: { "Content-Type": "text/html" },
+    },
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/actions.ts b/autogpt_platform/frontend/src/app/(platform)/build/actions.ts
new file mode 100644
index 000000000000..7907d919f4f0
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/actions.ts
@@ -0,0 +1,36 @@
+"use server";
+
+import BackendAPI from "@/lib/autogpt-server-api/client";
+import { OttoQuery, OttoResponse } from "@/lib/autogpt-server-api/types";
+
+const api = new BackendAPI();
+
+export async function askOtto(
+  query: string,
+  conversationHistory: { query: string; response: string }[],
+  includeGraphData: boolean,
+  graphId?: string,
+): Promise<OttoResponse> {
+  const messageId = `${Date.now()}-web`;
+
+  const ottoQuery: OttoQuery = {
+    query,
+    conversation_history: conversationHistory,
+    message_id: messageId,
+    include_graph_data: includeGraphData,
+    graph_id: graphId,
+  };
+
+  try {
+    const response = await api.askOtto(ottoQuery);
+    return response;
+  } catch (error) {
+    console.error("Error in askOtto server action:", error);
+    return {
+      answer: error instanceof Error ? error.message : "Unknown error occurred",
+      documents: [],
+      success: false,
+      error: true,
+    };
+  }
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/AiBlock.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/AiBlock.tsx
new file mode 100644
index 000000000000..530adac5bc56
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/AiBlock.tsx
@@ -0,0 +1,63 @@
+import { Button } from "@/components/ui/button";
+import { cn } from "@/lib/utils";
+import { Plus } from "lucide-react";
+import { ButtonHTMLAttributes } from "react";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  title?: string;
+  description?: string;
+  ai_name?: string;
+}
+
+export const AiBlock: React.FC<Props> = ({
+  title,
+  description,
+  className,
+  ai_name,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group flex h-[5.625rem] w-full min-w-[7.5rem] items-center justify-start space-x-3 whitespace-normal rounded-[0.75rem] bg-zinc-50 px-[0.875rem] py-[0.625rem] text-start shadow-none",
+        "hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300 disabled:pointer-events-none",
+        className,
+      )}
+      {...rest}
+    >
+      <div className="flex flex-1 flex-col items-start gap-1.5">
+        <div className="space-y-0.5">
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-sm font-medium leading-[1.375rem] text-zinc-700 group-disabled:text-zinc-400",
+            )}
+          >
+            {title}
+          </span>
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+            )}
+          >
+            {description}
+          </span>
+        </div>
+
+        <span
+          className={cn(
+            "rounded-[0.75rem] bg-zinc-200 px-[0.5rem] font-sans text-xs leading-[1.25rem] text-zinc-500",
+          )}
+        >
+          Supports {ai_name}
+        </span>
+      </div>
+      <div
+        className={cn(
+          "flex h-7 w-7 items-center justify-center rounded-[0.5rem] bg-zinc-700 group-disabled:bg-zinc-400",
+        )}
+      >
+        <Plus className="h-5 w-5 text-zinc-50" strokeWidth={2} />
+      </div>
+    </Button>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/Block.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/Block.tsx
new file mode 100644
index 000000000000..c05efc6dae31
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/Block.tsx
@@ -0,0 +1,77 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { beautifyString, cn } from "@/lib/utils";
+import { Plus } from "lucide-react";
+import React, { ButtonHTMLAttributes } from "react";import { highlightText } from "./helpers";
+;
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  title?: string;
+  description?: string;
+  highlightedText?: string;
+}
+
+interface BlockComponent extends React.FC<Props> {
+  Skeleton: React.FC<{ className?: string }>;
+}
+
+export const Block: BlockComponent = ({
+  title,
+  description,
+  highlightedText,
+  className,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group flex h-16 w-full min-w-[7.5rem] items-center justify-start space-x-3 whitespace-normal rounded-[0.75rem] bg-zinc-50 px-[0.875rem] py-[0.625rem] text-start shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300 disabled:cursor-not-allowed",
+        className,
+      )}
+      {...rest}
+    >
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        {title && (
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-sm font-medium leading-[1.375rem] text-zinc-800 group-disabled:text-zinc-400",
+            )}
+          >
+            {highlightText(beautifyString(title), highlightedText)}
+          </span>
+        )}
+        {description && (
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+            )}
+          >
+            {highlightText(description, highlightedText)}
+          </span>
+        )}
+      </div>
+      <div
+        className={cn(
+          "flex h-7 w-7 items-center justify-center rounded-[0.5rem] bg-zinc-700 group-disabled:bg-zinc-400",
+        )}
+      >
+        <Plus className="h-5 w-5 text-zinc-50" strokeWidth={2} />
+      </div>
+    </Button>
+  );
+};
+
+const BlockSkeleton = () => {
+  return (
+    <Skeleton className="flex h-16 w-full min-w-[7.5rem] animate-pulse items-center justify-start space-x-3 rounded-[0.75rem] bg-zinc-100 px-[0.875rem] py-[0.625rem]">
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        <Skeleton className="h-[1.375rem] w-24 rounded bg-zinc-200" />
+        <Skeleton className="h-5 w-32 rounded bg-zinc-200" />
+      </div>
+      <Skeleton className="h-7 w-7 rounded-[0.5rem] bg-zinc-200" />
+    </Skeleton>
+  );
+};
+
+Block.Skeleton = BlockSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenu/BlockMenu.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenu/BlockMenu.tsx
new file mode 100644
index 000000000000..338a1de7835b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenu/BlockMenu.tsx
@@ -0,0 +1,51 @@
+import React from "react";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { ToyBrick } from "lucide-react";
+import { BlockMenuContent } from "../BlockMenuContent/BlockMenuContent";
+import { ControlPanelButton } from "../ControlPanelButton";
+import { useBlockMenu } from "./useBlockMenu";
+
+interface BlockMenuProps {
+  pinBlocksPopover: boolean;
+  blockMenuSelected: "save" | "block" | "";
+  setBlockMenuSelected: React.Dispatch<
+    React.SetStateAction<"" | "save" | "block">
+  >;
+}
+
+export const BlockMenu: React.FC<BlockMenuProps> = ({
+  pinBlocksPopover,
+  blockMenuSelected,
+  setBlockMenuSelected,
+}) => {
+  const {open, onOpen} = useBlockMenu({pinBlocksPopover, setBlockMenuSelected});
+  return (
+    <Popover open={pinBlocksPopover ? true : open} onOpenChange={onOpen}>
+      <PopoverTrigger className="hover:cursor-pointer">
+        <ControlPanelButton
+          data-id="blocks-control-popover-trigger"
+          data-testid="blocks-control-blocks-button"
+          selected={blockMenuSelected === "block"}
+          className="rounded-none"
+        >
+           {/* Need to find phosphor icon alternative for this lucide icon */}
+          <ToyBrick className="h-5 w-6" strokeWidth={2} /> 
+        </ControlPanelButton>
+      </PopoverTrigger>
+
+      <PopoverContent
+        side="right"
+        align="start"
+        sideOffset={16}
+        className="absolute h-[75vh] w-[46.625rem] overflow-hidden rounded-[1rem] border-none p-0 shadow-[0_2px_6px_0_rgba(0,0,0,0.05)]"
+        data-id="blocks-control-popover-content"
+      >
+          <BlockMenuContent />
+      </PopoverContent>
+    </Popover>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenu/useBlockMenu.ts b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenu/useBlockMenu.ts
new file mode 100644
index 000000000000..0c67743c3303
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenu/useBlockMenu.ts
@@ -0,0 +1,23 @@
+import { useState } from "react";
+
+interface useBlockMenuProps {
+    pinBlocksPopover: boolean;
+    setBlockMenuSelected: React.Dispatch<
+    React.SetStateAction<"" | "save" | "block">
+  >;
+}
+
+export const useBlockMenu = ({pinBlocksPopover, setBlockMenuSelected}: useBlockMenuProps) => {
+    const [open, setOpen] = useState(false);
+    const onOpen = (newOpen: boolean) => {
+      if (!pinBlocksPopover) {
+        setOpen(newOpen);
+        setBlockMenuSelected(newOpen ? "block" : "");
+      }
+    };
+
+    return {
+        open,
+        onOpen,
+    };
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenuContent/BlockMenuContent.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenuContent/BlockMenuContent.tsx
new file mode 100644
index 000000000000..88483a27ffff
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/BlockMenuContent/BlockMenuContent.tsx
@@ -0,0 +1,10 @@
+"use client";
+import React from "react";
+
+export const BlockMenuContent = () => {
+  return (
+    <div className="flex h-full w-full flex-col items-center justify-center">
+        This is the block menu content
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/ControlPanelButton.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/ControlPanelButton.tsx
new file mode 100644
index 000000000000..523bad014230
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/ControlPanelButton.tsx
@@ -0,0 +1,35 @@
+// BLOCK MENU TODO: We need a disable state in this, currently it's not in design.
+
+import { cn } from "@/lib/utils";
+import React from "react";
+
+interface Props extends React.HTMLAttributes<HTMLDivElement> {
+  selected?: boolean;
+  children?: React.ReactNode; // For icon purpose
+  disabled?: boolean;
+}
+
+export const ControlPanelButton: React.FC<Props> = ({
+  selected = false,
+  children,
+  disabled,
+  className,
+  ...rest
+}) => {
+  return (
+    // Using div instead of button, because it's only for design purposes. We are using this to give design to PopoverTrigger.
+    <div
+      role="button"
+      className={cn(
+        "flex h-[4.25rem] w-[4.25rem] items-center justify-center whitespace-normal bg-white p-[1.38rem] text-zinc-800 shadow-none hover:cursor-pointer hover:bg-zinc-100 hover:text-zinc-950 focus:ring-0",
+        selected &&
+          "bg-violet-50 text-violet-700 hover:cursor-default hover:bg-violet-50 hover:text-violet-700 active:bg-violet-50 active:text-violet-700",
+        disabled && "cursor-not-allowed",
+        className,
+      )}
+      {...rest}
+    >
+      {children}
+    </div>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/FilterChip.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/FilterChip.tsx
new file mode 100644
index 000000000000..9099ec9c94c6
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/FilterChip.tsx
@@ -0,0 +1,54 @@
+import { Button } from "@/components/ui/button";
+import { cn } from "@/lib/utils";
+import { X } from "lucide-react";
+import React, { ButtonHTMLAttributes } from "react";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  selected?: boolean;
+  number?: number;
+  name?: string;
+}
+
+export const FilterChip: React.FC<Props> = ({
+  selected = false,
+  number,
+  name,
+  className,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group w-fit space-x-1 rounded-[1.5rem] border border-zinc-300 bg-transparent px-[0.625rem] py-[0.375rem] shadow-none transition-transform duration-300 ease-in-out",
+        "hover:border-violet-500 hover:bg-transparent focus:ring-0 disabled:cursor-not-allowed",
+        selected && "border-0 bg-violet-700 hover:border",
+        className,
+      )}
+      {...rest}
+    >
+      <span
+        className={cn(
+          "font-sans text-sm font-medium leading-[1.375rem] text-zinc-600 group-hover:text-zinc-600 group-disabled:text-zinc-400",
+          selected && "text-zinc-50",
+        )}
+      >
+        {name}
+      </span>
+      {selected && (
+        <>
+          <span className="flex h-4 w-4 items-center justify-center rounded-full bg-zinc-50 transition-all duration-300 ease-in-out group-hover:hidden">
+            <X
+              className="h-3 w-3 rounded-full text-violet-700"
+              strokeWidth={2}
+            />
+          </span>
+          {number !== undefined && (
+            <span className="hidden h-[1.375rem] items-center rounded-[1.25rem] bg-violet-700 p-[0.375rem] text-zinc-50 transition-all duration-300 ease-in-out animate-in fade-in zoom-in group-hover:flex">
+              {number > 100 ? "100+" : number}
+            </span>
+          )}
+        </>
+      )}
+    </Button>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/Integration.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/Integration.tsx
new file mode 100644
index 000000000000..0ace646ecfe6
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/Integration.tsx
@@ -0,0 +1,88 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { beautifyString, cn } from "@/lib/utils";
+import Image from "next/image";
+import React, { ButtonHTMLAttributes } from "react";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  title?: string;
+  description?: string;
+  icon_url?: string;
+  number_of_blocks?: number;
+}
+
+interface IntegrationComponent extends React.FC<Props> {
+  Skeleton: React.FC<{ className?: string }>;
+}
+
+export const Integration: IntegrationComponent = ({
+  title,
+  icon_url,
+  description,
+  className,
+  number_of_blocks,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group flex h-16 w-full min-w-[7.5rem] items-center justify-start space-x-3 whitespace-normal rounded-[0.75rem] bg-zinc-50 px-[0.875rem] py-[0.625rem] text-start shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-50 active:ring-1 active:ring-zinc-300 disabled:pointer-events-none",
+        className,
+      )}
+      {...rest}
+    >
+      <div className="relative h-[2.625rem] w-[2.625rem] overflow-hidden rounded-[0.5rem] bg-white">
+        {icon_url && (
+          <Image
+            src={icon_url}
+            alt="integration-icon"
+            fill
+            sizes="2.25rem"
+            className="w-full rounded-[0.5rem] object-contain group-disabled:opacity-50"
+          />
+        )}
+      </div>
+
+      <div className="w-full">
+        <div className="flex items-center justify-between gap-2">
+          {title && (
+            <p className="line-clamp-1 flex-1 font-sans text-sm font-medium leading-[1.375rem] text-zinc-700 group-disabled:text-zinc-400">
+              {beautifyString(title)}
+            </p>
+          )}
+          <span className="flex h-[1.375rem] w-[1.6875rem] items-center justify-center rounded-[1.25rem] bg-[#f0f0f0] p-1.5 font-sans text-sm leading-[1.375rem] text-zinc-500 group-disabled:text-zinc-400">
+            {number_of_blocks}
+          </span>
+        </div>
+        <span className="line-clamp-1 font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400">
+          {description}
+        </span>
+      </div>
+    </Button>
+  );
+};
+
+const IntegrationSkeleton: React.FC<{ className?: string }> = ({
+  className,
+}) => {
+  return (
+    <Skeleton
+      className={cn(
+        "flex h-16 w-full min-w-[7.5rem] animate-pulse items-center justify-start space-x-3 rounded-[0.75rem] bg-zinc-100 px-[0.875rem] py-[0.625rem]",
+        className,
+      )}
+    >
+      <Skeleton className="h-[2.625rem] w-[2.625rem] rounded-[0.5rem] bg-zinc-200" />
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        <div className="flex w-full items-center justify-between">
+          <Skeleton className="h-[1.375rem] w-24 rounded bg-zinc-200" />
+          <Skeleton className="h-[1.375rem] w-[1.6875rem] rounded-[1.25rem] bg-zinc-200" />
+        </div>
+        <Skeleton className="h-5 w-[80%] rounded bg-zinc-200" />
+      </div>
+    </Skeleton>
+  );
+};
+
+Integration.Skeleton = IntegrationSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/IntegrationChip.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/IntegrationChip.tsx
new file mode 100644
index 000000000000..2a1caeb56b35
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/IntegrationChip.tsx
@@ -0,0 +1,60 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { beautifyString, cn } from "@/lib/utils";
+import Image from "next/image";
+import React, { ButtonHTMLAttributes } from "react";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  name?: string;
+  icon_url?: string;
+}
+
+interface IntegrationChipComponent extends React.FC<Props> {
+  Skeleton: React.FC;
+}
+
+export const IntegrationChip: IntegrationChipComponent = ({
+  icon_url,
+  name,
+  className,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "flex h-[3.25rem] w-full min-w-[7.5rem] justify-start gap-2 whitespace-normal rounded-[0.5rem] bg-zinc-50 p-2 pr-3 shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300",
+        className,
+      )}
+      {...rest}
+    >
+      <div className="relative h-9 w-9 rounded-[0.5rem] bg-transparent">
+        {icon_url && (
+          <Image
+            src={icon_url}
+            alt="integration-icon"
+            fill
+            sizes="2.25rem"
+            className="w-full object-contain"
+          />
+        )}
+      </div>
+      {name && (
+        <span className="truncate font-sans text-sm font-normal leading-[1.375rem] text-zinc-800">
+          {beautifyString(name)}
+        </span>
+      )}
+    </Button>
+  );
+};
+
+const IntegrationChipSkeleton: React.FC = () => {
+  return (
+    <Skeleton className="flex h-[3.25rem] w-full min-w-[7.5rem] gap-2 rounded-[0.5rem] bg-zinc-100 p-2 pr-3">
+      <Skeleton className="h-9 w-12 rounded-[0.5rem] bg-zinc-200" />
+      <Skeleton className="h-5 w-24 self-center rounded-sm bg-zinc-200" />
+    </Skeleton>
+  );
+};
+
+IntegrationChip.Skeleton = IntegrationChipSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/IntergrationBlock.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/IntergrationBlock.tsx
new file mode 100644
index 000000000000..9b38bf2a3552
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/IntergrationBlock.tsx
@@ -0,0 +1,99 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { beautifyString, cn } from "@/lib/utils";
+import { Plus } from "lucide-react";
+import Image from "next/image";
+import React, { ButtonHTMLAttributes } from "react";
+import { highlightText } from "./helpers";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  title?: string;
+  description?: string;
+  icon_url?: string;
+  highlightedText?: string;
+}
+
+interface IntegrationBlockComponent extends React.FC<Props> {
+  Skeleton: React.FC<{ className?: string }>;
+}
+
+
+
+export const IntegrationBlock: IntegrationBlockComponent = ({
+  title,
+  icon_url,
+  description,
+  className,
+  highlightedText,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group flex h-16 w-full min-w-[7.5rem] items-center justify-start gap-3 whitespace-normal rounded-[0.75rem] bg-zinc-50 px-[0.875rem] py-[0.625rem] text-start shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300 disabled:cursor-not-allowed",
+        className,
+      )}
+      {...rest}
+    >
+      <div className="relative h-[2.625rem] w-[2.625rem] rounded-[0.5rem] bg-white">
+        {icon_url && (
+          <Image
+            src={icon_url}
+            alt="integration-icon"
+            fill
+            sizes="2.25rem"
+            className="w-full object-contain group-disabled:opacity-50"
+          />
+        )}
+      </div>
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        {title && (
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-sm font-medium leading-[1.375rem] text-zinc-800 group-disabled:text-zinc-400",
+            )}
+          >
+            {highlightText(beautifyString(title), highlightedText)}
+          </span>
+        )}
+        {description && (
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+            )}
+          >
+            {highlightText(description, highlightedText)}
+          </span>
+        )}
+      </div>
+      <div
+        className={cn(
+          "flex h-7 w-7 items-center justify-center rounded-[0.5rem] bg-zinc-700 group-disabled:bg-zinc-400",
+        )}
+      >
+        <Plus className="h-5 w-5 text-zinc-50" strokeWidth={2} />
+      </div>
+    </Button>
+  );
+};
+
+const IntegrationBlockSkeleton = ({ className }: { className?: string }) => {
+  return (
+    <Skeleton
+      className={cn(
+        "flex h-16 w-full min-w-[7.5rem] animate-pulse items-center justify-start gap-3 rounded-[0.75rem] bg-zinc-100 px-[0.875rem] py-[0.625rem]",
+        className,
+      )}
+    >
+      <Skeleton className="h-[2.625rem] w-[2.625rem] rounded-[0.5rem] bg-zinc-200" />
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        <Skeleton className="h-[1.375rem] w-24 rounded bg-zinc-200" />
+        <Skeleton className="h-5 w-32 rounded bg-zinc-200" />
+      </div>
+      <Skeleton className="h-7 w-7 rounded-[0.5rem] bg-zinc-200" />
+    </Skeleton>
+  );
+};
+
+IntegrationBlock.Skeleton = IntegrationBlockSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/MarketplaceAgentBlock.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/MarketplaceAgentBlock.tsx
new file mode 100644
index 000000000000..3358a8b08dd5
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/MarketplaceAgentBlock.tsx
@@ -0,0 +1,135 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { cn } from "@/lib/utils";
+import { ExternalLink, Loader2, Plus } from "lucide-react";
+import Image from "next/image";
+import React, { ButtonHTMLAttributes } from "react";
+import Link from "next/link";
+import { highlightText } from "./helpers";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  title?: string;
+  creator_name?: string;
+  number_of_runs?: number;
+  image_url?: string;
+  highlightedText?: string;
+  slug: string;
+  loading: boolean;
+}
+
+interface MarketplaceAgentBlockComponent extends React.FC<Props> {
+  Skeleton: React.FC<{ className?: string }>;
+}
+
+export const MarketplaceAgentBlock: MarketplaceAgentBlockComponent = ({
+  title,
+  image_url,
+  creator_name,
+  number_of_runs,
+  className,
+  loading,
+  highlightedText,
+  slug,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group flex h-[4.375rem] w-full min-w-[7.5rem] items-center justify-start gap-3 whitespace-normal rounded-[0.75rem] bg-zinc-50 p-[0.625rem] pr-[0.875rem] text-start shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300 disabled:pointer-events-none",
+        className,
+      )}
+      {...rest}
+    >
+      <div className="relative h-[3.125rem] w-[5.625rem] overflow-hidden rounded-[0.375rem] bg-white">
+        {image_url && (
+          <Image
+            src={image_url}
+            alt="integration-icon"
+            fill
+            sizes="5.625rem"
+            className="w-full object-contain group-disabled:opacity-50"
+          />
+        )}
+      </div>
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        {title && (
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-sm font-medium leading-[1.375rem] text-zinc-800 group-disabled:text-zinc-400",
+            )}
+          >
+            {highlightText(title, highlightedText)}
+          </span>
+        )}
+        <div className="flex items-center space-x-2.5">
+          <span
+            className={cn(
+              "truncate font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+            )}
+          >
+            By {creator_name}
+          </span>
+
+          <span className="font-sans text-zinc-400">•</span>
+
+          <span
+            className={cn(
+              "truncate font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+            )}
+          >
+            {number_of_runs} runs
+          </span>
+          <span className="font-sans text-zinc-400">•</span>
+          <Link
+            href={`/marketplace/agent/${creator_name}/${slug}`}
+            className="flex gap-0.5 truncate"
+            onClick={(e) => e.stopPropagation()}
+          >
+            <span className="font-sans text-xs leading-5 text-blue-700 underline">
+              Agent page
+            </span>
+            <ExternalLink className="h-4 w-4 text-blue-700" strokeWidth={1} />
+          </Link>
+        </div>
+      </div>
+      <div
+        className={cn(
+          "flex h-7 min-w-7 items-center justify-center rounded-[0.5rem] bg-zinc-700 group-disabled:bg-zinc-400",
+        )}
+      >
+        {!loading ? (
+          <Plus className="h-5 w-5 text-zinc-50" strokeWidth={2} />
+        ) : (
+          <Loader2 className="h-5 w-5 animate-spin" />
+        )}
+      </div>
+    </Button>
+  );
+};
+
+const MarketplaceAgentBlockSkeleton: React.FC<{ className?: string }> = ({
+  className,
+}) => {
+  return (
+    <Skeleton
+      className={cn(
+        "flex h-[4.375rem] w-full min-w-[7.5rem] animate-pulse items-center justify-start gap-3 rounded-[0.75rem] bg-zinc-100 p-[0.625rem] pr-[0.875rem]",
+        className,
+      )}
+    >
+      <Skeleton className="h-[3.125rem] w-[5.625rem] rounded-[0.375rem] bg-zinc-200" />
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        <Skeleton className="h-[1.375rem] w-24 rounded bg-zinc-200" />
+        <div className="flex items-center gap-1">
+          <Skeleton className="h-5 w-16 rounded bg-zinc-200" />
+
+          <Skeleton className="h-5 w-16 rounded bg-zinc-200" />
+        </div>
+      </div>
+      <Skeleton className="h-7 w-7 rounded-[0.5rem] bg-zinc-200" />
+    </Skeleton>
+  );
+};
+
+MarketplaceAgentBlock.Skeleton = MarketplaceAgentBlockSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/MenuItem.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/MenuItem.tsx
new file mode 100644
index 000000000000..b52f7296f3d2
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/MenuItem.tsx
@@ -0,0 +1,40 @@
+// BLOCK MENU TODO: We need to add a better hover state to it; currently it's not in the design either.
+
+import { Button } from "@/components/ui/button";
+import { cn } from "@/lib/utils";
+import React, { ButtonHTMLAttributes } from "react";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  selected?: boolean;
+  number?: number;
+  name?: string;
+}
+
+export const MenuItem: React.FC<Props> = ({
+  selected = false,
+  number,
+  name,
+  className,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "flex h-[2.375rem] w-[12.875rem] justify-between whitespace-normal rounded-[0.5rem] bg-transparent p-2 pl-3 shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0",
+        selected && "bg-zinc-100",
+        className,
+      )}
+      {...rest}
+    >
+      <span className="truncate font-sans text-sm font-medium leading-[1.375rem] text-zinc-800">
+        {name}
+      </span>
+      {number && (
+        <span className="font-sans text-sm font-normal leading-[1.375rem] text-zinc-600">
+          {number > 100 ? "100+" : number}
+        </span>
+      )}
+    </Button>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NewControlPanel/NewControlPanel.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NewControlPanel/NewControlPanel.tsx
new file mode 100644
index 000000000000..bd969033acd2
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NewControlPanel/NewControlPanel.tsx
@@ -0,0 +1,110 @@
+import { Separator } from "@/components/ui/separator";
+import { cn } from "@/lib/utils";
+import React, { useMemo } from "react";
+import { BlockMenu } from "../BlockMenu/BlockMenu";
+import { useNewControlPanel } from "./useNewControlPanel";
+import { NewSaveControl } from "../SaveControl/NewSaveControl";
+import { GraphExecutionID } from "@/lib/autogpt-server-api";
+import { history } from "@/components/history";
+import { ControlPanelButton } from "../ControlPanelButton";
+import { ArrowUUpLeftIcon, ArrowUUpRightIcon } from "@phosphor-icons/react";
+
+export type Control = {
+  icon: React.ReactNode;
+  label: string;
+  disabled?: boolean;
+  onClick: () => void;
+};
+
+interface ControlPanelProps {
+  className?: string;
+  flowExecutionID: GraphExecutionID | undefined;
+  visualizeBeads: "no" | "static" | "animate";
+  pinSavePopover: boolean;
+  pinBlocksPopover: boolean;
+}
+
+export const NewControlPanel = ({
+  flowExecutionID,
+  visualizeBeads,
+  pinSavePopover,
+  pinBlocksPopover,
+  className,
+}: ControlPanelProps) => {
+  const {
+    blockMenuSelected,
+    setBlockMenuSelected,
+    agentDescription,
+    setAgentDescription,
+    saveAgent,
+    agentName,
+    setAgentName,
+    savedAgent,
+    isSaving,
+    isRunning,
+    isStopping,
+  } = useNewControlPanel({ flowExecutionID, visualizeBeads });
+
+  const controls: Control[] = useMemo(
+    () => [
+      {
+        label: "Undo",
+        icon: <ArrowUUpLeftIcon size={20} weight="bold" />,
+        onClick: history.undo,
+        disabled: !history.canUndo(),
+      },
+      {
+        label: "Redo",
+        icon: <ArrowUUpRightIcon size={20} weight="bold" />,
+        onClick: history.redo,
+        disabled: !history.canRedo(),
+      },
+    ],
+    []
+  );
+
+  return (
+    <section
+      className={cn(
+        "absolute left-4 top-24 z-10 w-[4.25rem] overflow-hidden rounded-[1rem] border-none bg-white p-0 shadow-[0_1px_5px_0_rgba(0,0,0,0.1)]",
+        className
+      )}
+    >
+      <div className="flex flex-col items-center justify-center rounded-[1rem] p-0">
+        <BlockMenu
+          pinBlocksPopover={pinBlocksPopover}
+          blockMenuSelected={blockMenuSelected}
+          setBlockMenuSelected={setBlockMenuSelected}
+        />
+        <Separator className="text-[#E1E1E1]" />
+        {controls.map((control, index) => (
+          <ControlPanelButton
+            key={index}
+            onClick={() => control.onClick()}
+            data-id={`control-button-${index}`}
+            data-testid={`blocks-control-${control.label.toLowerCase()}-button`}
+            disabled={control.disabled || false}
+            className="rounded-none"
+          >
+            {control.icon}
+          </ControlPanelButton>
+        ))}
+        <Separator className="text-[#E1E1E1]" />
+        <NewSaveControl
+          agentMeta={savedAgent}
+          canSave={!isSaving && !isRunning && !isStopping}
+          onSave={saveAgent}
+          agentDescription={agentDescription}
+          onDescriptionChange={setAgentDescription}
+          agentName={agentName}
+          onNameChange={setAgentName}
+          pinSavePopover={pinSavePopover}
+          blockMenuSelected={blockMenuSelected}
+          setBlockMenuSelected={setBlockMenuSelected}
+        />
+      </div>
+    </section>
+  );
+};
+
+export default NewControlPanel;
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NewControlPanel/useNewControlPanel.ts b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NewControlPanel/useNewControlPanel.ts
new file mode 100644
index 000000000000..79ecb44237fe
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NewControlPanel/useNewControlPanel.ts
@@ -0,0 +1,35 @@
+import useAgentGraph from "@/hooks/useAgentGraph";
+import { GraphExecutionID, GraphID } from "@/lib/autogpt-server-api";
+import { useSearchParams } from "next/navigation";
+import { useState } from "react";
+
+export interface NewControlPanelProps {
+    flowExecutionID: GraphExecutionID | undefined;
+    visualizeBeads: "no" | "static" | "animate";
+}
+
+export const useNewControlPanel = ({flowExecutionID, visualizeBeads}: NewControlPanelProps) => {
+  const [blockMenuSelected, setBlockMenuSelected] = useState<
+    "save" | "block" | ""
+  >("");
+  const query = useSearchParams();
+  const _graphVersion = query.get("flowVersion");
+  const graphVersion = _graphVersion ? parseInt(_graphVersion) : undefined;
+
+  const flowID = query.get("flowID") as GraphID | null ?? undefined;
+  const {agentDescription, setAgentDescription, saveAgent, agentName, setAgentName, savedAgent, isSaving, isRunning, isStopping} = useAgentGraph(flowID, graphVersion, flowExecutionID, visualizeBeads !== "no")
+
+  return {
+    blockMenuSelected,
+    setBlockMenuSelected,
+    agentDescription,
+    setAgentDescription,
+    saveAgent,
+    agentName,
+    setAgentName,
+    savedAgent,
+    isSaving,
+    isRunning,
+    isStopping,
+  }
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NoSearchResult.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NoSearchResult.tsx
new file mode 100644
index 000000000000..a6e14a9b85ba
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/NoSearchResult.tsx
@@ -0,0 +1,17 @@
+import { SmileySadIcon } from "@phosphor-icons/react";
+
+export const NoSearchResult = () => {
+  return (
+    <div className="flex h-full w-full flex-col items-center justify-center text-center">
+      <SmileySadIcon size={64} className="mb-10 text-zinc-400" />
+      <div className="space-y-1">
+        <p className="font-sans text-sm font-medium leading-[1.375rem] text-zinc-800">
+          No match found
+        </p>
+        <p className="font-sans text-sm font-normal leading-[1.375rem] text-zinc-600">
+          Try adjusting your search terms
+        </p>
+      </div>
+    </div>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/SaveControl/NewSaveControl.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/SaveControl/NewSaveControl.tsx
new file mode 100644
index 000000000000..5801b0f76dd2
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/SaveControl/NewSaveControl.tsx
@@ -0,0 +1,158 @@
+import React, { useCallback, useEffect } from "react";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { Card, CardContent, CardFooter } from "@/components/ui/card";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import { GraphMeta } from "@/lib/autogpt-server-api";
+import { Label } from "@/components/ui/label";
+import { IconSave } from "@/components/ui/icons";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { ControlPanelButton } from "../ControlPanelButton";
+
+interface SaveControlProps {
+  agentMeta: GraphMeta | null;
+  agentName: string;
+  agentDescription: string;
+  canSave: boolean;
+  onSave: () => void;
+  onNameChange: (name: string) => void;
+  onDescriptionChange: (description: string) => void;
+  pinSavePopover: boolean;
+
+  blockMenuSelected: "save" | "block" | "";
+  setBlockMenuSelected: React.Dispatch<
+    React.SetStateAction<"" | "save" | "block">
+  >;
+}
+
+export const NewSaveControl = ({
+  agentMeta,
+  canSave,
+  onSave,
+  agentName,
+  onNameChange,
+  agentDescription,
+  onDescriptionChange,
+  blockMenuSelected,
+  setBlockMenuSelected,
+  pinSavePopover,
+}: SaveControlProps) => {
+
+  const handleSave = useCallback(() => {
+    onSave();
+  }, [onSave]);
+
+  const { toast } = useToast();
+
+  useEffect(() => {
+    const handleKeyDown = (event: KeyboardEvent) => {
+      if ((event.ctrlKey || event.metaKey) && event.key === "s") {
+        event.preventDefault(); 
+        handleSave(); 
+        toast({
+          duration: 2000,
+          title: "All changes saved successfully!",
+        });
+      }
+    };
+
+    window.addEventListener("keydown", handleKeyDown);
+
+    return () => {
+      window.removeEventListener("keydown", handleKeyDown);
+    };
+  }, [handleSave, toast]);
+
+  return (
+    <Popover
+      open={pinSavePopover ? true : undefined}
+      onOpenChange={(open) => open || setBlockMenuSelected("")}
+    >
+      <PopoverTrigger>
+        <ControlPanelButton
+          data-id="save-control-popover-trigger"
+          data-testid="blocks-control-save-button"
+          selected={blockMenuSelected === "save"}
+          onClick={() => {
+            setBlockMenuSelected("save");
+          }}
+          className="rounded-none"
+        >
+          {/* Need to find phosphor icon alternative for this lucide icon */}
+          <IconSave className="h-5 w-5" strokeWidth={2} />
+        </ControlPanelButton>
+      </PopoverTrigger>
+
+      <PopoverContent
+        side="right"
+        sideOffset={16}
+        align="start"
+        className="w-[17rem] rounded-xl border-none p-0 shadow-none md:w-[30rem]"
+        data-id="save-control-popover-content"
+      >
+        <Card className="border-none shadow-none dark:bg-slate-900">
+          <CardContent className="p-4">
+            <div className="grid gap-3">
+              <Label htmlFor="name" className="dark:text-gray-300">
+                Name
+              </Label>
+              <Input
+                id="name"
+                placeholder="Enter your agent name"
+                className="col-span-3"
+                value={agentName}
+                onChange={(e) => onNameChange(e.target.value)}
+                data-id="save-control-name-input"
+                data-testid="save-control-name-input"
+                maxLength={100}
+              />
+              <Label htmlFor="description" className="dark:text-gray-300">
+                Description
+              </Label>
+              <Input
+                id="description"
+                placeholder="Your agent description"
+                className="col-span-3"
+                value={agentDescription}
+                onChange={(e) => onDescriptionChange(e.target.value)}
+                data-id="save-control-description-input"
+                data-testid="save-control-description-input"
+                maxLength={500}
+              />
+              {agentMeta?.version && (
+                <>
+                  <Label htmlFor="version" className="dark:text-gray-300">
+                    Version
+                  </Label>
+                  <Input
+                    id="version"
+                    placeholder="Version"
+                    className="col-span-3"
+                    value={agentMeta?.version || "-"}
+                    disabled
+                    data-testid="save-control-version-output"
+                  />
+                </>
+              )}
+            </div>
+          </CardContent>
+          <CardFooter className="flex flex-col items-stretch gap-2">
+            <Button
+              className="w-full dark:bg-slate-700 dark:text-slate-100 dark:hover:bg-slate-800"
+              onClick={handleSave}
+              data-id="save-control-save-agent"
+              data-testid="save-control-save-agent-button"
+              disabled={!canSave}
+            >
+              Save Agent
+            </Button>
+          </CardFooter>
+        </Card>
+      </PopoverContent>
+    </Popover>
+  );
+};
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/SearchHistoryChip.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/SearchHistoryChip.tsx
new file mode 100644
index 000000000000..8ad488874888
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/SearchHistoryChip.tsx
@@ -0,0 +1,47 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { cn } from "@/lib/utils";
+import { ArrowUpRight } from "lucide-react";
+import React, { ButtonHTMLAttributes } from "react";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  content?: string;
+}
+
+interface SearchHistoryChipComponent extends React.FC<Props> {
+  Skeleton: React.FC<{ className?: string }>;
+}
+
+export const SearchHistoryChip: SearchHistoryChipComponent = ({
+  content,
+  className,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "my-[1px] h-[2.25rem] space-x-1 rounded-[1.5rem] bg-zinc-50 p-[0.375rem] pr-[0.625rem] shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300",
+        className,
+      )}
+      {...rest}
+    >
+      <ArrowUpRight className="h-6 w-6 text-zinc-500" strokeWidth={1.25} />
+      <span className="font-sans text-sm font-normal leading-[1.375rem] text-zinc-800">
+        {content}
+      </span>
+    </Button>
+  );
+};
+
+const SearchHistoryChipSkeleton: React.FC<{ className?: string }> = ({
+  className,
+}) => {
+  return (
+    <Skeleton
+      className={cn("h-[2.25rem] w-32 rounded-[1.5rem] bg-zinc-100", className)}
+    />
+  );
+};
+
+SearchHistoryChip.Skeleton = SearchHistoryChipSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/UGCAgentBlock.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/UGCAgentBlock.tsx
new file mode 100644
index 000000000000..2dd3296a11f1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/UGCAgentBlock.tsx
@@ -0,0 +1,117 @@
+import { Button } from "@/components/ui/button";
+import { Skeleton } from "@/components/ui/skeleton";
+import { cn } from "@/lib/utils";
+import { Plus } from "lucide-react";
+import Image from "next/image";
+import React, { ButtonHTMLAttributes } from "react";
+import { highlightText } from "./helpers";
+import { formatTimeAgo } from "@/lib/utils/time";
+
+interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
+  title?: string;
+  edited_time?: Date;
+  version?: number;
+  image_url?: string;
+  highlightedText?: string;
+}
+
+interface UGCAgentBlockComponent extends React.FC<Props> {
+  Skeleton: React.FC<{ className?: string }>;
+}
+
+export const UGCAgentBlock: UGCAgentBlockComponent = ({
+  title,
+  image_url,
+  edited_time = new Date(),
+  version,
+  className,
+  highlightedText,
+  ...rest
+}) => {
+  return (
+    <Button
+      className={cn(
+        "group flex h-[4.375rem] w-full min-w-[7.5rem] items-center justify-start gap-3 whitespace-normal rounded-[0.75rem] bg-zinc-50 p-[0.625rem] pr-[0.875rem] text-start shadow-none",
+        "hover:cursor-default hover:bg-zinc-100 focus:ring-0 active:bg-zinc-100 active:ring-1 active:ring-zinc-300 disabled:cursor-not-allowed",
+        className,
+      )}
+      {...rest}
+    >
+      {image_url && (
+        <div className="relative h-[3.125rem] w-[5.625rem] overflow-hidden rounded-[0.375rem] bg-white">
+          <Image
+            src={image_url}
+            alt="integration-icon"
+            fill
+            sizes="5.625rem"
+            className="w-full object-contain group-disabled:opacity-50"
+          />
+        </div>
+      )}
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        {title && (
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-sm font-medium leading-[1.375rem] text-zinc-800 group-disabled:text-zinc-400",
+            )}
+          >
+            {highlightText(title, highlightedText)}
+          </span>
+        )}
+        <div className="flex items-center space-x-1.5">
+          {edited_time && (
+            <span
+              className={cn(
+                "line-clamp-1 font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+              )}
+            >
+              Edited {formatTimeAgo(edited_time.toISOString())}
+            </span>
+          )}
+
+          <span className="font-sans text-zinc-400">•</span>
+
+          <span
+            className={cn(
+              "line-clamp-1 font-sans text-xs font-normal leading-5 text-zinc-500 group-disabled:text-zinc-400",
+            )}
+          >
+            Version {version}
+          </span>
+        </div>
+      </div>
+      <div
+        className={cn(
+          "flex h-7 w-7 items-center justify-center rounded-[0.5rem] bg-zinc-700 group-disabled:bg-zinc-400",
+        )}
+      >
+        <Plus className="h-5 w-5 text-zinc-50" strokeWidth={2} />
+      </div>
+    </Button>
+  );
+};
+
+const UGCAgentBlockSkeleton: React.FC<{ className?: string }> = ({
+  className,
+}) => {
+  return (
+    <Skeleton
+      className={cn(
+        "flex h-[4.375rem] w-full min-w-[7.5rem] animate-pulse items-center justify-start gap-3 rounded-[0.75rem] bg-zinc-100 p-[0.625rem] pr-[0.875rem]",
+        className,
+      )}
+    >
+      <Skeleton className="h-[3.125rem] w-[5.625rem] rounded-[0.375rem] bg-zinc-200" />
+      <div className="flex flex-1 flex-col items-start gap-0.5">
+        <Skeleton className="h-[1.375rem] w-24 rounded bg-zinc-200" />
+        <div className="flex items-center gap-1">
+          <Skeleton className="h-5 w-16 rounded bg-zinc-200" />
+          <Skeleton className="h-5 w-16 rounded bg-zinc-200" />
+        </div>
+      </div>
+      <Skeleton className="h-7 w-7 rounded-[0.5rem] bg-zinc-200" />
+    </Skeleton>
+  );
+};
+
+UGCAgentBlock.Skeleton = UGCAgentBlockSkeleton;
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/helpers.tsx b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/helpers.tsx
new file mode 100644
index 000000000000..8643b4650ad3
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/components/NewBlockMenu/helpers.tsx
@@ -0,0 +1,22 @@
+export const highlightText = (
+    text: string | undefined,
+    highlight: string | undefined,
+  ) => {
+    if (!text || !highlight) return text;
+  
+    function escapeRegExp(s: string) {
+      return s.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+    }
+  
+    const escaped = escapeRegExp(highlight);
+    const parts = text.split(new RegExp(`(${escaped})`, "gi"));
+    return parts.map((part, i) =>
+      part.toLowerCase() === highlight?.toLowerCase() ? (
+        <mark key={i} className="bg-transparent font-bold">
+          {part}
+        </mark>
+      ) : (
+        part
+      ),
+    );
+  };
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/app/(platform)/build/page.tsx b/autogpt_platform/frontend/src/app/(platform)/build/page.tsx
new file mode 100644
index 000000000000..725cf6c77b70
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/build/page.tsx
@@ -0,0 +1,35 @@
+"use client";
+
+import FlowEditor from "@/components/Flow";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import LoadingBox from "@/components/ui/loading";
+import { GraphID } from "@/lib/autogpt-server-api/types";
+import { useSearchParams } from "next/navigation";
+import { Suspense, useEffect } from "react";
+
+function BuilderContent() {
+  const query = useSearchParams();
+  const { completeStep } = useOnboarding();
+
+  useEffect(() => {
+    completeStep("BUILDER_OPEN");
+  }, [completeStep]);
+
+  const _graphVersion = query.get("flowVersion");
+  const graphVersion = _graphVersion ? parseInt(_graphVersion) : undefined;
+  return (
+    <FlowEditor
+      className="flow-container"
+      flowID={(query.get("flowID") as GraphID | null) ?? undefined}
+      flowVersion={graphVersion}
+    />
+  );
+}
+
+export default function BuilderPage() {
+  return (
+    <Suspense fallback={<LoadingBox className="h-[80vh]" />}>
+      <BuilderContent />
+    </Suspense>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/dictionaries/en.json b/autogpt_platform/frontend/src/app/(platform)/dictionaries/en.json
similarity index 100%
rename from autogpt_platform/frontend/src/app/dictionaries/en.json
rename to autogpt_platform/frontend/src/app/(platform)/dictionaries/en.json
diff --git a/autogpt_platform/frontend/src/app/dictionaries/es.json b/autogpt_platform/frontend/src/app/(platform)/dictionaries/es.json
similarity index 100%
rename from autogpt_platform/frontend/src/app/dictionaries/es.json
rename to autogpt_platform/frontend/src/app/(platform)/dictionaries/es.json
diff --git a/autogpt_platform/frontend/src/app/health/page.tsx b/autogpt_platform/frontend/src/app/(platform)/health/page.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/app/health/page.tsx
rename to autogpt_platform/frontend/src/app/(platform)/health/page.tsx
diff --git a/autogpt_platform/frontend/src/app/(platform)/layout.tsx b/autogpt_platform/frontend/src/app/(platform)/layout.tsx
new file mode 100644
index 000000000000..3146df9e6b15
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/layout.tsx
@@ -0,0 +1,11 @@
+import { Navbar } from "@/components/layout/Navbar/Navbar";
+import { ReactNode } from "react";
+
+export default function PlatformLayout({ children }: { children: ReactNode }) {
+  return (
+    <>
+      <Navbar />
+      <main>{children}</main>
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/AgentRunsView.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/AgentRunsView.tsx
new file mode 100644
index 000000000000..499423397a1e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/AgentRunsView.tsx
@@ -0,0 +1,74 @@
+"use client";
+
+import { Breadcrumbs } from "@/components/molecules/Breadcrumbs/Breadcrumbs";
+import { ErrorCard } from "@/components/molecules/ErrorCard/ErrorCard";
+import { useAgentRunsView } from "./useAgentRunsView";
+import { AgentRunsLoading } from "./components/AgentRunsLoading";
+import { Button } from "@/components/atoms/Button/Button";
+import { Plus } from "@phosphor-icons/react";
+
+export function AgentRunsView() {
+  const { response, ready, error, agentId } = useAgentRunsView();
+
+  // Handle loading state
+  if (!ready) {
+    return <AgentRunsLoading />;
+  }
+
+  // Handle errors - check for query error first, then response errors
+  if (error || (response && response.status !== 200)) {
+    return (
+      <ErrorCard
+        isSuccess={false}
+        responseError={error || undefined}
+        httpError={
+          response?.status !== 200
+            ? {
+                status: response?.status,
+                statusText: "Request failed",
+              }
+            : undefined
+        }
+        context="agent"
+        onRetry={() => window.location.reload()}
+      />
+    );
+  }
+
+  // Handle missing data
+  if (!response?.data) {
+    return (
+      <ErrorCard
+        isSuccess={false}
+        responseError={{ message: "No agent data found" }}
+        context="agent"
+        onRetry={() => window.location.reload()}
+      />
+    );
+  }
+
+  const agent = response.data;
+
+  return (
+    <div className="grid h-screen grid-cols-[25%_85%] gap-4 pt-8">
+      {/* Left Sidebar - 30% */}
+      <div className="bg-gray-50 p-4">
+        <Button variant="primary" size="large" className="w-full">
+          <Plus size={20} /> New Run
+        </Button>
+      </div>
+
+      {/* Main Content - 70% */}
+      <div className="p-4">
+        <Breadcrumbs
+          items={[
+            { name: "My Library", link: "/library" },
+            { name: agent.name, link: `/library/agents/${agentId}` },
+          ]}
+        />
+        {/* Main content will go here */}
+        <div className="mt-4 text-gray-600">Main content area</div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/components/AgentRunsLoading.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/components/AgentRunsLoading.tsx
new file mode 100644
index 000000000000..38e5cf16ef8e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/components/AgentRunsLoading.tsx
@@ -0,0 +1,25 @@
+import React from "react";
+import { Skeleton } from "@/components/ui/skeleton";
+
+export function AgentRunsLoading() {
+  return (
+    <div className="px-6 py-6">
+      <div className="flex h-screen w-full gap-4">
+        {/* Left Sidebar */}
+        <div className="w-80 space-y-4">
+          <Skeleton className="h-12 w-full" />
+          <Skeleton className="h-32 w-full" />
+          <Skeleton className="h-24 w-full" />
+        </div>
+
+        {/* Main Content */}
+        <div className="flex-1 space-y-4">
+          <Skeleton className="h-8 w-full" />
+          <Skeleton className="h-12 w-full" />
+          <Skeleton className="h-64 w-full" />
+          <Skeleton className="h-32 w-full" />
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/useAgentRunsView.ts b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/useAgentRunsView.ts
new file mode 100644
index 000000000000..24ae3a38328c
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/AgentRunsView/useAgentRunsView.ts
@@ -0,0 +1,15 @@
+import { useGetV2GetLibraryAgent } from "@/app/api/__generated__/endpoints/library/library";
+import { useParams } from "next/navigation";
+
+export function useAgentRunsView() {
+  const { id } = useParams();
+  const agentId = id as string;
+  const { data: response, isSuccess, error } = useGetV2GetLibraryAgent(agentId);
+
+  return {
+    agentId: id,
+    ready: isSuccess,
+    error,
+    response,
+  };
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView.tsx
new file mode 100644
index 000000000000..7d13ea7546c5
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView.tsx
@@ -0,0 +1,616 @@
+"use client";
+import { useParams, useRouter } from "next/navigation";
+import { useQueryState } from "nuqs";
+import React, {
+  useCallback,
+  useEffect,
+  useMemo,
+  useRef,
+  useState,
+} from "react";
+
+import {
+  Graph,
+  GraphExecution,
+  GraphExecutionID,
+  GraphExecutionMeta,
+  GraphID,
+  LibraryAgent,
+  LibraryAgentID,
+  LibraryAgentPreset,
+  LibraryAgentPresetID,
+  Schedule,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { exportAsJSONFile } from "@/lib/utils";
+
+import DeleteConfirmDialog from "@/components/agptui/delete-confirm-dialog";
+import type { ButtonAction } from "@/components/agptui/types";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import LoadingBox, { LoadingSpinner } from "@/components/ui/loading";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { AgentRunDetailsView } from "./components/agent-run-details-view";
+import { AgentRunDraftView } from "./components/agent-run-draft-view";
+import { useAgentRunsInfinite } from "../use-agent-runs";
+import { AgentRunsSelectorList } from "./components/agent-runs-selector-list";
+import { AgentScheduleDetailsView } from "./components/agent-schedule-details-view";
+
+export function OldAgentLibraryView() {
+  const { id: agentID }: { id: LibraryAgentID } = useParams();
+  const [executionId, setExecutionId] = useQueryState("executionId");
+  const { toast } = useToast();
+  const router = useRouter();
+  const api = useBackendAPI();
+
+  // ============================ STATE =============================
+
+  const [graph, setGraph] = useState<Graph | null>(null); // Graph version corresponding to LibraryAgent
+  const [agent, setAgent] = useState<LibraryAgent | null>(null);
+  const agentRunsQuery = useAgentRunsInfinite(graph?.id); // only runs once graph.id is known
+  const agentRuns = agentRunsQuery.agentRuns;
+  const [agentPresets, setAgentPresets] = useState<LibraryAgentPreset[]>([]);
+  const [schedules, setSchedules] = useState<Schedule[]>([]);
+  const [selectedView, selectView] = useState<
+    | { type: "run"; id?: GraphExecutionID }
+    | { type: "preset"; id: LibraryAgentPresetID }
+    | { type: "schedule"; id: ScheduleID }
+  >({ type: "run" });
+  const [selectedRun, setSelectedRun] = useState<
+    GraphExecution | GraphExecutionMeta | null
+  >(null);
+  const selectedSchedule =
+    selectedView.type == "schedule"
+      ? schedules.find((s) => s.id == selectedView.id)
+      : null;
+  const [isFirstLoad, setIsFirstLoad] = useState<boolean>(true);
+  const [agentDeleteDialogOpen, setAgentDeleteDialogOpen] =
+    useState<boolean>(false);
+  const [confirmingDeleteAgentRun, setConfirmingDeleteAgentRun] =
+    useState<GraphExecutionMeta | null>(null);
+  const [confirmingDeleteAgentPreset, setConfirmingDeleteAgentPreset] =
+    useState<LibraryAgentPresetID | null>(null);
+  const {
+    state: onboardingState,
+    updateState: updateOnboardingState,
+    incrementRuns,
+  } = useOnboarding();
+  const [copyAgentDialogOpen, setCopyAgentDialogOpen] = useState(false);
+
+  // Set page title with agent name
+  useEffect(() => {
+    if (agent) {
+      document.title = `${agent.name} - Library - AutoGPT Platform`;
+    }
+  }, [agent]);
+
+  const openRunDraftView = useCallback(() => {
+    selectView({ type: "run" });
+  }, []);
+
+  const selectRun = useCallback((id: GraphExecutionID) => {
+    selectView({ type: "run", id });
+  }, []);
+
+  const selectPreset = useCallback((id: LibraryAgentPresetID) => {
+    selectView({ type: "preset", id });
+  }, []);
+
+  const selectSchedule = useCallback((id: ScheduleID) => {
+    selectView({ type: "schedule", id });
+  }, []);
+
+  const graphVersions = useRef<Record<number, Graph>>({});
+  const loadingGraphVersions = useRef<Record<number, Promise<Graph>>>({});
+  const getGraphVersion = useCallback(
+    async (graphID: GraphID, version: number) => {
+      if (version in graphVersions.current)
+        return graphVersions.current[version];
+      if (version in loadingGraphVersions.current)
+        return loadingGraphVersions.current[version];
+
+      const pendingGraph = api.getGraph(graphID, version).then((graph) => {
+        graphVersions.current[version] = graph;
+        return graph;
+      });
+      // Cache promise as well to avoid duplicate requests
+      loadingGraphVersions.current[version] = pendingGraph;
+      return pendingGraph;
+    },
+    [api, graphVersions, loadingGraphVersions],
+  );
+
+  // Reward user for viewing results of their onboarding agent
+  useEffect(() => {
+    if (
+      !onboardingState ||
+      !selectedRun ||
+      onboardingState.completedSteps.includes("GET_RESULTS")
+    )
+      return;
+
+    if (selectedRun.id === onboardingState.onboardingAgentExecutionId) {
+      updateOnboardingState({
+        completedSteps: [...onboardingState.completedSteps, "GET_RESULTS"],
+      });
+    }
+  }, [selectedRun, onboardingState, updateOnboardingState]);
+
+  const lastRefresh = useRef<number>(0);
+  const refreshPageData = useCallback(() => {
+    if (Date.now() - lastRefresh.current < 2e3) return; // 2 second debounce
+    lastRefresh.current = Date.now();
+
+    api.getLibraryAgent(agentID).then((agent) => {
+      setAgent(agent);
+
+      getGraphVersion(agent.graph_id, agent.graph_version).then(
+        (_graph) =>
+          (graph && graph.version == _graph.version) || setGraph(_graph),
+      );
+      Promise.all([
+        agentRunsQuery.refetchRuns(),
+        api.listLibraryAgentPresets({
+          graph_id: agent.graph_id,
+          page_size: 100,
+        }),
+      ]).then(([runsQueryResult, presets]) => {
+        setAgentPresets(presets.presets);
+
+        const newestAgentRunsResponse = runsQueryResult.data?.pages[0];
+        if (!newestAgentRunsResponse || newestAgentRunsResponse.status != 200)
+          return;
+        const newestAgentRuns = newestAgentRunsResponse.data.executions;
+        // Preload the corresponding graph versions for the latest 10 runs
+        new Set(
+          newestAgentRuns.slice(0, 10).map((run) => run.graph_version),
+        ).forEach((version) => getGraphVersion(agent.graph_id, version));
+      });
+    });
+  }, [api, agentID, getGraphVersion, graph]);
+
+  // On first load: select the latest run
+  useEffect(() => {
+    // Only for first load or first execution
+    if (selectedView.id || !isFirstLoad) return;
+    if (agentRuns.length == 0 && agentPresets.length == 0) return;
+
+    setIsFirstLoad(false);
+    if (agentRuns.length > 0) {
+      // select latest run
+      const latestRun = agentRuns.reduce((latest, current) => {
+        if (latest.started_at && !current.started_at) return current;
+        else if (!latest.started_at) return latest;
+        return latest.started_at > current.started_at ? latest : current;
+      }, agentRuns[0]);
+      selectRun(latestRun.id as GraphExecutionID);
+    } else {
+      // select top preset
+      const latestPreset = agentPresets.toSorted(
+        (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
+      )[0];
+      selectPreset(latestPreset.id);
+    }
+  }, [
+    isFirstLoad,
+    selectedView.id,
+    agentRuns,
+    agentPresets,
+    selectRun,
+    selectPreset,
+  ]);
+
+  useEffect(() => {
+    if (executionId) {
+      selectRun(executionId as GraphExecutionID);
+      setExecutionId(null);
+    }
+  }, [executionId, selectRun, setExecutionId]);
+
+  // Initial load
+  useEffect(() => {
+    refreshPageData();
+
+    // Show a toast when the WebSocket connection disconnects
+    let connectionToast: ReturnType<typeof toast> | null = null;
+    const cancelDisconnectHandler = api.onWebSocketDisconnect(() => {
+      connectionToast ??= toast({
+        title: "Connection to server was lost",
+        variant: "destructive",
+        description: (
+          <div className="flex items-center">
+            Trying to reconnect...
+            <LoadingSpinner className="ml-1.5 size-3.5" />
+          </div>
+        ),
+        duration: Infinity,
+        dismissable: true,
+      });
+    });
+    const cancelConnectHandler = api.onWebSocketConnect(() => {
+      if (connectionToast)
+        connectionToast.update({
+          id: connectionToast.id,
+          title: "✅ Connection re-established",
+          variant: "default",
+          description: (
+            <div className="flex items-center">
+              Refreshing data...
+              <LoadingSpinner className="ml-1.5 size-3.5" />
+            </div>
+          ),
+          duration: 2000,
+          dismissable: true,
+        });
+      connectionToast = null;
+    });
+    return () => {
+      cancelDisconnectHandler();
+      cancelConnectHandler();
+    };
+  }, []);
+
+  // Subscribe to WebSocket updates for agent runs
+  useEffect(() => {
+    if (!agent?.graph_id) return;
+
+    return api.onWebSocketConnect(() => {
+      refreshPageData(); // Sync up on (re)connect
+
+      // Subscribe to all executions for this agent
+      api.subscribeToGraphExecutions(agent.graph_id);
+    });
+  }, [api, agent?.graph_id, refreshPageData]);
+
+  // Handle execution updates
+  useEffect(() => {
+    const detachExecUpdateHandler = api.onWebSocketMessage(
+      "graph_execution_event",
+      (data) => {
+        if (data.graph_id != agent?.graph_id) return;
+
+        if (data.status == "COMPLETED") {
+          incrementRuns();
+        }
+
+        agentRunsQuery.upsertAgentRun(data);
+      },
+    );
+
+    return () => {
+      detachExecUpdateHandler();
+    };
+  }, [api, agent?.graph_id, selectedView.id, incrementRuns]);
+
+  // Pre-load selectedRun based on selectedView
+  useEffect(() => {
+    if (selectedView.type != "run" || !selectedView.id) return;
+
+    const newSelectedRun = agentRuns.find((run) => run.id == selectedView.id);
+    if (selectedView.id !== selectedRun?.id) {
+      // Pull partial data from "cache" while waiting for the rest to load
+      setSelectedRun(newSelectedRun ?? null);
+    }
+  }, [api, selectedView, agentRuns, selectedRun?.id]);
+
+  // Load selectedRun based on selectedView; refresh on agent refresh
+  useEffect(() => {
+    if (selectedView.type != "run" || !selectedView.id || !agent) return;
+
+    api
+      .getGraphExecutionInfo(agent.graph_id, selectedView.id)
+      .then(async (run) => {
+        // Ensure corresponding graph version is available before rendering I/O
+        await getGraphVersion(run.graph_id, run.graph_version);
+        setSelectedRun(run);
+      });
+  }, [api, selectedView, agent, getGraphVersion]);
+
+  const fetchSchedules = useCallback(async () => {
+    if (!agent) return;
+
+    setSchedules(await api.listGraphExecutionSchedules(agent.graph_id));
+  }, [api, agent?.graph_id]);
+
+  useEffect(() => {
+    fetchSchedules();
+  }, [fetchSchedules]);
+
+  // =========================== ACTIONS ============================
+
+  const deleteRun = useCallback(
+    async (run: GraphExecutionMeta) => {
+      if (run.status == "RUNNING" || run.status == "QUEUED") {
+        await api.stopGraphExecution(run.graph_id, run.id);
+      }
+      await api.deleteGraphExecution(run.id);
+
+      setConfirmingDeleteAgentRun(null);
+      if (selectedView.type == "run" && selectedView.id == run.id) {
+        openRunDraftView();
+      }
+      agentRunsQuery.removeAgentRun(run.id);
+    },
+    [api, selectedView, openRunDraftView],
+  );
+
+  const deletePreset = useCallback(
+    async (presetID: LibraryAgentPresetID) => {
+      await api.deleteLibraryAgentPreset(presetID);
+
+      setConfirmingDeleteAgentPreset(null);
+      if (selectedView.type == "preset" && selectedView.id == presetID) {
+        openRunDraftView();
+      }
+      setAgentPresets((presets) => presets.filter((p) => p.id !== presetID));
+    },
+    [api, selectedView, openRunDraftView],
+  );
+
+  const deleteSchedule = useCallback(
+    async (scheduleID: ScheduleID) => {
+      const removedSchedule =
+        await api.deleteGraphExecutionSchedule(scheduleID);
+
+      setSchedules((schedules) => {
+        const newSchedules = schedules.filter(
+          (s) => s.id !== removedSchedule.id,
+        );
+        if (
+          selectedView.type == "schedule" &&
+          selectedView.id == removedSchedule.id
+        ) {
+          if (newSchedules.length > 0) {
+            // Select next schedule if available
+            selectSchedule(newSchedules[0].id);
+          } else {
+            // Reset to draft view if current schedule was deleted
+            openRunDraftView();
+          }
+        }
+        return newSchedules;
+      });
+      openRunDraftView();
+    },
+    [schedules, api],
+  );
+
+  const downloadGraph = useCallback(
+    async () =>
+      agent &&
+      // Export sanitized graph from backend
+      api
+        .getGraph(agent.graph_id, agent.graph_version, true)
+        .then((graph) =>
+          exportAsJSONFile(graph, `${graph.name}_v${graph.version}.json`),
+        ),
+    [api, agent],
+  );
+
+  const copyAgent = useCallback(async () => {
+    setCopyAgentDialogOpen(false);
+    api
+      .forkLibraryAgent(agentID)
+      .then((newAgent) => {
+        router.push(`/library/agents/${newAgent.id}`);
+      })
+      .catch((error) => {
+        console.error("Error copying agent:", error);
+        toast({
+          title: "Error copying agent",
+          description: `An error occurred while copying the agent: ${error.message}`,
+          variant: "destructive",
+        });
+      });
+  }, [agentID, api, router, toast]);
+
+  const agentActions: ButtonAction[] = useMemo(
+    () => [
+      {
+        label: "Customize agent",
+        href: `/build?flowID=${agent?.graph_id}&flowVersion=${agent?.graph_version}`,
+        disabled: !agent?.can_access_graph,
+      },
+      { label: "Export agent to file", callback: downloadGraph },
+      ...(!agent?.can_access_graph
+        ? [
+            {
+              label: "Edit a copy",
+              callback: () => setCopyAgentDialogOpen(true),
+            },
+          ]
+        : []),
+      {
+        label: "Delete agent",
+        callback: () => setAgentDeleteDialogOpen(true),
+      },
+    ],
+    [agent, downloadGraph],
+  );
+
+  const runGraph =
+    graphVersions.current[selectedRun?.graph_version ?? 0] ?? graph;
+
+  const onCreateSchedule = useCallback(
+    (schedule: Schedule) => {
+      setSchedules((prev) => [...prev, schedule]);
+      selectSchedule(schedule.id);
+    },
+    [selectView],
+  );
+
+  const onCreatePreset = useCallback(
+    (preset: LibraryAgentPreset) => {
+      setAgentPresets((prev) => [...prev, preset]);
+      selectPreset(preset.id);
+    },
+    [selectPreset],
+  );
+
+  const onUpdatePreset = useCallback(
+    (updated: LibraryAgentPreset) => {
+      setAgentPresets((prev) =>
+        prev.map((p) => (p.id === updated.id ? updated : p)),
+      );
+      selectPreset(updated.id);
+    },
+    [selectPreset],
+  );
+
+  if (!agent || !graph) {
+    return <LoadingBox className="h-[90vh]" />;
+  }
+
+  return (
+    <div className="container justify-stretch p-0 pt-16 lg:flex">
+      {/* Sidebar w/ list of runs */}
+      {/* TODO: render this below header in sm and md layouts */}
+      <AgentRunsSelectorList
+        className="agpt-div w-full border-b pb-2 lg:w-auto lg:border-b-0 lg:border-r lg:pb-0"
+        agent={agent}
+        agentRunsQuery={agentRunsQuery}
+        agentPresets={agentPresets}
+        schedules={schedules}
+        selectedView={selectedView}
+        onSelectRun={selectRun}
+        onSelectPreset={selectPreset}
+        onSelectSchedule={selectSchedule}
+        onSelectDraftNewRun={openRunDraftView}
+        doDeleteRun={setConfirmingDeleteAgentRun}
+        doDeletePreset={setConfirmingDeleteAgentPreset}
+        doDeleteSchedule={deleteSchedule}
+      />
+
+      <div className="flex-1">
+        {/* Header */}
+        <div className="agpt-div w-full border-b">
+          <h1
+            data-testid="agent-title"
+            className="font-poppins text-3xl font-medium"
+          >
+            {
+              agent.name /* TODO: use dynamic/custom run title - https://github.com/Significant-Gravitas/AutoGPT/issues/9184 */
+            }
+          </h1>
+        </div>
+
+        {/* Run / Schedule views */}
+        {(selectedView.type == "run" && selectedView.id ? (
+          selectedRun && runGraph ? (
+            <AgentRunDetailsView
+              agent={agent}
+              graph={runGraph}
+              run={selectedRun}
+              agentActions={agentActions}
+              onRun={selectRun}
+              deleteRun={() => setConfirmingDeleteAgentRun(selectedRun)}
+            />
+          ) : null
+        ) : selectedView.type == "run" ? (
+          /* Draft new runs / Create new presets */
+          <AgentRunDraftView
+            graph={graph}
+            triggerSetupInfo={agent.trigger_setup_info}
+            onRun={selectRun}
+            onCreateSchedule={onCreateSchedule}
+            onCreatePreset={onCreatePreset}
+            agentActions={agentActions}
+          />
+        ) : selectedView.type == "preset" ? (
+          /* Edit & update presets */
+          <AgentRunDraftView
+            graph={graph}
+            triggerSetupInfo={agent.trigger_setup_info}
+            agentPreset={
+              agentPresets.find((preset) => preset.id == selectedView.id)!
+            }
+            onRun={selectRun}
+            onCreateSchedule={onCreateSchedule}
+            onUpdatePreset={onUpdatePreset}
+            doDeletePreset={setConfirmingDeleteAgentPreset}
+            agentActions={agentActions}
+          />
+        ) : selectedView.type == "schedule" ? (
+          selectedSchedule &&
+          graph && (
+            <AgentScheduleDetailsView
+              graph={graph}
+              schedule={selectedSchedule}
+              // agent={agent}
+              agentActions={agentActions}
+              onForcedRun={selectRun}
+              doDeleteSchedule={deleteSchedule}
+            />
+          )
+        ) : null) || <LoadingBox className="h-[70vh]" />}
+
+        <DeleteConfirmDialog
+          entityType="agent"
+          open={agentDeleteDialogOpen}
+          onOpenChange={setAgentDeleteDialogOpen}
+          onDoDelete={() =>
+            agent &&
+            api.deleteLibraryAgent(agent.id).then(() => router.push("/library"))
+          }
+        />
+
+        <DeleteConfirmDialog
+          entityType="agent run"
+          open={!!confirmingDeleteAgentRun}
+          onOpenChange={(open) => !open && setConfirmingDeleteAgentRun(null)}
+          onDoDelete={() =>
+            confirmingDeleteAgentRun && deleteRun(confirmingDeleteAgentRun)
+          }
+        />
+        <DeleteConfirmDialog
+          entityType={agent.has_external_trigger ? "trigger" : "agent preset"}
+          open={!!confirmingDeleteAgentPreset}
+          onOpenChange={(open) => !open && setConfirmingDeleteAgentPreset(null)}
+          onDoDelete={() =>
+            confirmingDeleteAgentPreset &&
+            deletePreset(confirmingDeleteAgentPreset)
+          }
+        />
+        {/* Copy agent confirmation dialog */}
+        <Dialog
+          onOpenChange={setCopyAgentDialogOpen}
+          open={copyAgentDialogOpen}
+        >
+          <DialogContent>
+            <DialogHeader>
+              <DialogTitle>You&apos;re making an editable copy</DialogTitle>
+              <DialogDescription className="pt-2">
+                The original Marketplace agent stays the same and cannot be
+                edited. We&apos;ll save a new version of this agent to your
+                Library. From there, you can customize it however you&apos;d
+                like by clicking &quot;Customize agent&quot; — this will open
+                the builder where you can see and modify the inner workings.
+              </DialogDescription>
+            </DialogHeader>
+            <DialogFooter className="justify-end">
+              <Button
+                type="button"
+                variant="outline"
+                onClick={() => setCopyAgentDialogOpen(false)}
+              >
+                Cancel
+              </Button>
+              <Button type="button" onClick={copyAgent}>
+                Continue
+              </Button>
+            </DialogFooter>
+          </DialogContent>
+        </Dialog>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-details-view.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-details-view.tsx
new file mode 100644
index 000000000000..d4b5f98ab4f6
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-details-view.tsx
@@ -0,0 +1,342 @@
+"use client";
+import { isEmpty } from "lodash";
+import moment from "moment";
+import React, { useCallback, useMemo } from "react";
+
+import {
+  Graph,
+  GraphExecution,
+  GraphExecutionID,
+  GraphExecutionMeta,
+  LibraryAgent,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+import ActionButtonGroup from "@/components/agptui/action-button-group";
+import type { ButtonAction } from "@/components/agptui/types";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import {
+  IconRefresh,
+  IconSquare,
+  IconCircleAlert,
+} from "@/components/ui/icons";
+import { Input } from "@/components/ui/input";
+import LoadingBox from "@/components/ui/loading";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipProvider,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
+
+import {
+  AgentRunStatus,
+  agentRunStatusMap,
+} from "@/components/agents/agent-run-status-chip";
+import useCredits from "@/hooks/useCredits";
+
+export function AgentRunDetailsView({
+  agent,
+  graph,
+  run,
+  agentActions,
+  onRun,
+  deleteRun,
+}: {
+  agent: LibraryAgent;
+  graph: Graph;
+  run: GraphExecution | GraphExecutionMeta;
+  agentActions: ButtonAction[];
+  onRun: (runID: GraphExecutionID) => void;
+  deleteRun: () => void;
+}): React.ReactNode {
+  const api = useBackendAPI();
+  const { formatCredits } = useCredits();
+
+  const runStatus: AgentRunStatus = useMemo(
+    () => agentRunStatusMap[run.status],
+    [run],
+  );
+
+  const toastOnFail = useToastOnFail();
+
+  const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
+    if (!run) return [];
+    return [
+      {
+        label: "Status",
+        value: runStatus.charAt(0).toUpperCase() + runStatus.slice(1),
+      },
+      {
+        label: "Started",
+        value: `${moment(run.started_at).fromNow()}, ${moment(run.started_at).format("HH:mm")}`,
+      },
+      ...(run.stats
+        ? [
+            {
+              label: "Duration",
+              value: moment.duration(run.stats.duration, "seconds").humanize(),
+            },
+            { label: "Steps", value: run.stats.node_exec_count },
+            { label: "Cost", value: formatCredits(run.stats.cost) },
+          ]
+        : []),
+    ];
+  }, [run, runStatus, formatCredits]);
+
+  const agentRunInputs:
+    | Record<
+        string,
+        {
+          title?: string;
+          /* type: BlockIOSubType; */
+          value: string | number | undefined;
+        }
+      >
+    | undefined = useMemo(() => {
+    if (!("inputs" in run)) return undefined;
+    // TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
+
+    // Add type info from agent input schema
+    return Object.fromEntries(
+      Object.entries(run.inputs).map(([k, v]) => [
+        k,
+        {
+          title: graph.input_schema.properties[k]?.title,
+          // type: graph.input_schema.properties[k].type, // TODO: implement typed graph inputs
+          value: typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
+        },
+      ]),
+    );
+  }, [graph, run]);
+
+  const runAgain = useCallback(
+    () =>
+      agentRunInputs &&
+      api
+        .executeGraph(
+          graph.id,
+          graph.version,
+          Object.fromEntries(
+            Object.entries(agentRunInputs).map(([k, v]) => [k, v.value]),
+          ),
+        )
+        .then(({ graph_exec_id }) => onRun(graph_exec_id))
+        .catch(toastOnFail("execute agent")),
+    [api, graph, agentRunInputs, onRun, toastOnFail],
+  );
+
+  const stopRun = useCallback(
+    () => api.stopGraphExecution(graph.id, run.id),
+    [api, graph.id, run.id],
+  );
+
+  const agentRunOutputs:
+    | Record<
+        string,
+        {
+          title?: string;
+          /* type: BlockIOSubType; */
+          values: Array<React.ReactNode>;
+        }
+      >
+    | null
+    | undefined = useMemo(() => {
+    if (!("outputs" in run)) return undefined;
+    if (!["running", "success", "failed", "stopped"].includes(runStatus))
+      return null;
+
+    // Add type info from agent input schema
+    return Object.fromEntries(
+      Object.entries(run.outputs).map(([k, vv]) => [
+        k,
+        {
+          title: graph.output_schema.properties[k].title,
+          /* type: agent.output_schema.properties[k].type */
+          values: vv.map((v) =>
+            typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
+          ),
+        },
+      ]),
+    );
+  }, [graph, run, runStatus]);
+
+  const runActions: ButtonAction[] = useMemo(
+    () => [
+      ...(["running", "queued"].includes(runStatus)
+        ? ([
+            {
+              label: (
+                <>
+                  <IconSquare className="mr-2 size-4" />
+                  Stop run
+                </>
+              ),
+              variant: "secondary",
+              callback: stopRun,
+            },
+          ] satisfies ButtonAction[])
+        : []),
+      ...(["success", "failed", "stopped"].includes(runStatus) &&
+      !graph.has_external_trigger &&
+      isEmpty(graph.credentials_input_schema.required) // TODO: enable re-run with credentials - https://linear.app/autogpt/issue/SECRT-1243
+        ? [
+            {
+              label: (
+                <>
+                  <IconRefresh className="mr-2 size-4" />
+                  Run again
+                </>
+              ),
+              callback: runAgain,
+              dataTestId: "run-again-button",
+            },
+          ]
+        : []),
+      ...(agent.can_access_graph
+        ? [
+            {
+              label: "Open run in builder",
+              href: `/build?flowID=${run.graph_id}&flowVersion=${run.graph_version}&flowExecutionID=${run.id}`,
+            },
+          ]
+        : []),
+      { label: "Delete run", variant: "secondary", callback: deleteRun },
+    ],
+    [
+      runStatus,
+      runAgain,
+      stopRun,
+      deleteRun,
+      graph.has_external_trigger,
+      graph.credentials_input_schema.required,
+      agent.can_access_graph,
+      run.graph_id,
+      run.graph_version,
+      run.id,
+    ],
+  );
+
+  return (
+    <div className="agpt-div flex gap-6">
+      <div className="flex flex-1 flex-col gap-4">
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Info</CardTitle>
+          </CardHeader>
+
+          <CardContent>
+            <div className="flex justify-stretch gap-4">
+              {infoStats.map(({ label, value }) => (
+                <div key={label} className="flex-1">
+                  <p className="text-sm font-medium text-black">{label}</p>
+                  <p className="text-sm text-neutral-600">{value}</p>
+                </div>
+              ))}
+            </div>
+            {run.status === "FAILED" && (
+              <div className="mt-4 rounded-md border border-red-200 bg-red-50 p-3 dark:border-red-800 dark:bg-red-900/20">
+                <p className="text-sm text-red-800 dark:text-red-200">
+                  <strong>Error:</strong>{" "}
+                  {run.stats?.error ||
+                    "The execution failed due to an internal error. You can re-run the agent to retry."}
+                </p>
+              </div>
+            )}
+          </CardContent>
+        </Card>
+
+        {/* Smart Agent Execution Summary */}
+        {run.stats?.activity_status && (
+          <Card className="agpt-box">
+            <CardHeader>
+              <CardTitle className="flex items-center gap-2 font-poppins text-lg">
+                Smart Agent Execution Summary
+                <TooltipProvider>
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <IconCircleAlert className="size-4 cursor-help text-neutral-500 hover:text-neutral-700" />
+                    </TooltipTrigger>
+                    <TooltipContent>
+                      <p className="max-w-xs">
+                        This is an AI-generated summary and may not be
+                        completely accurate. It provides a conversational
+                        overview of what the agent accomplished during
+                        execution.
+                      </p>
+                    </TooltipContent>
+                  </Tooltip>
+                </TooltipProvider>
+              </CardTitle>
+            </CardHeader>
+            <CardContent>
+              <p className="text-sm leading-relaxed text-neutral-700">
+                {run.stats.activity_status}
+              </p>
+            </CardContent>
+          </Card>
+        )}
+
+        {agentRunOutputs !== null && (
+          <Card className="agpt-box">
+            <CardHeader>
+              <CardTitle className="font-poppins text-lg">Output</CardTitle>
+            </CardHeader>
+            <CardContent className="flex flex-col gap-4">
+              {agentRunOutputs !== undefined ? (
+                Object.entries(agentRunOutputs).map(
+                  ([key, { title, values }]) => (
+                    <div key={key} className="flex flex-col gap-1.5">
+                      <label className="text-sm font-medium">
+                        {title || key}
+                      </label>
+                      {values.map((value, i) => (
+                        <p
+                          className="resize-none overflow-x-auto whitespace-pre-wrap break-words border-none text-sm text-neutral-700 disabled:cursor-not-allowed"
+                          key={i}
+                        >
+                          {value}
+                        </p>
+                      ))}
+                      {/* TODO: pretty type-dependent rendering */}
+                    </div>
+                  ),
+                )
+              ) : (
+                <LoadingBox spinnerSize={12} className="h-24" />
+              )}
+            </CardContent>
+          </Card>
+        )}
+
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Input</CardTitle>
+          </CardHeader>
+          <CardContent className="flex flex-col gap-4">
+            {agentRunInputs !== undefined ? (
+              Object.entries(agentRunInputs).map(([key, { title, value }]) => (
+                <div key={key} className="flex flex-col gap-1.5">
+                  <label className="text-sm font-medium">{title || key}</label>
+                  <Input value={value} className="rounded-full" disabled />
+                </div>
+              ))
+            ) : (
+              <LoadingBox spinnerSize={12} className="h-24" />
+            )}
+          </CardContent>
+        </Card>
+      </div>
+
+      {/* Run / Agent Actions */}
+      <aside className="w-48 xl:w-56">
+        <div className="flex flex-col gap-8">
+          <ActionButtonGroup title="Run actions" actions={runActions} />
+
+          <ActionButtonGroup title="Agent actions" actions={agentActions} />
+        </div>
+      </aside>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view.tsx
new file mode 100644
index 000000000000..2f18d1d645ea
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view.tsx
@@ -0,0 +1,639 @@
+"use client";
+import React, { useCallback, useEffect, useMemo, useState } from "react";
+
+import {
+  CredentialsMetaInput,
+  GraphExecutionID,
+  GraphMeta,
+  LibraryAgentPreset,
+  LibraryAgentPresetID,
+  LibraryAgentPresetUpdatable,
+  LibraryAgentTriggerInfo,
+  Schedule,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+import ActionButtonGroup from "@/components/agptui/action-button-group";
+import type { ButtonAction } from "@/components/agptui/types";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { IconCross, IconPlay, IconSave } from "@/components/ui/icons";
+import { CalendarClockIcon, Trash2Icon } from "lucide-react";
+import { CronSchedulerDialog } from "@/components/cron-scheduler-dialog";
+import { CredentialsInput } from "@/components/integrations/credentials-input";
+import { TypeBasedInput } from "@/components/type-based-input";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import { cn, isEmpty } from "@/lib/utils";
+import SchemaTooltip from "@/components/SchemaTooltip";
+import { Input } from "@/components/ui/input";
+import {
+  useToast,
+  useToastOnFail,
+} from "@/components/molecules/Toast/use-toast";
+
+export function AgentRunDraftView({
+  graph,
+  agentPreset,
+  triggerSetupInfo,
+  doRun: _doRun,
+  onRun,
+  onCreatePreset,
+  onUpdatePreset,
+  doDeletePreset,
+  doCreateSchedule: _doCreateSchedule,
+  onCreateSchedule,
+  agentActions,
+  className,
+}: {
+  graph: GraphMeta;
+  triggerSetupInfo?: LibraryAgentTriggerInfo;
+  agentActions?: ButtonAction[];
+  doRun?: (
+    inputs: Record<string, any>,
+    credentialsInputs: Record<string, CredentialsMetaInput>,
+  ) => Promise<void>;
+  onRun?: (runID: GraphExecutionID) => void;
+  doCreateSchedule?: (
+    cronExpression: string,
+    scheduleName: string,
+    inputs: Record<string, any>,
+    credentialsInputs: Record<string, CredentialsMetaInput>,
+  ) => Promise<void>;
+  onCreateSchedule?: (schedule: Schedule) => void;
+  className?: string;
+} & (
+  | {
+      onCreatePreset?: (preset: LibraryAgentPreset) => void;
+      agentPreset?: never;
+      onUpdatePreset?: never;
+      doDeletePreset?: never;
+    }
+  | {
+      onCreatePreset?: never;
+      agentPreset: LibraryAgentPreset;
+      onUpdatePreset: (preset: LibraryAgentPreset) => void;
+      doDeletePreset: (presetID: LibraryAgentPresetID) => void;
+    }
+)): React.ReactNode {
+  const api = useBackendAPI();
+  const { toast } = useToast();
+  const toastOnFail = useToastOnFail();
+
+  const [inputValues, setInputValues] = useState<Record<string, any>>({});
+  const [inputCredentials, setInputCredentials] = useState<
+    Record<string, CredentialsMetaInput>
+  >({});
+  const [presetName, setPresetName] = useState<string>("");
+  const [presetDescription, setPresetDescription] = useState<string>("");
+  const [changedPresetAttributes, setChangedPresetAttributes] = useState<
+    Set<keyof LibraryAgentPresetUpdatable>
+  >(new Set());
+  const { state: onboardingState, completeStep: completeOnboardingStep } =
+    useOnboarding();
+  const [cronScheduleDialogOpen, setCronScheduleDialogOpen] = useState(false);
+
+  // Update values if agentPreset parameter is changed
+  useEffect(() => {
+    setInputValues(agentPreset?.inputs ?? {});
+    setInputCredentials(agentPreset?.credentials ?? {});
+    setPresetName(agentPreset?.name ?? "");
+    setPresetDescription(agentPreset?.description ?? "");
+    setChangedPresetAttributes(new Set());
+  }, [agentPreset]);
+
+  const agentInputSchema = useMemo(
+    () => triggerSetupInfo?.config_schema ?? graph.input_schema,
+    [graph, triggerSetupInfo],
+  );
+  const agentInputFields = useMemo(
+    () =>
+      Object.fromEntries(
+        Object.entries(agentInputSchema.properties).filter(
+          ([_, subSchema]) => !subSchema.hidden,
+        ),
+      ),
+    [agentInputSchema],
+  );
+  const agentCredentialsInputFields = useMemo(
+    () => graph.credentials_input_schema.properties,
+    [graph],
+  );
+
+  const [allRequiredInputsAreSet, missingInputs] = useMemo(() => {
+    const nonEmptyInputs = new Set(
+      Object.keys(inputValues).filter((k) => !isEmpty(inputValues[k])),
+    );
+    const requiredInputs = new Set(
+      agentInputSchema.required as string[] | undefined,
+    );
+    return [
+      nonEmptyInputs.isSupersetOf(requiredInputs),
+      [...requiredInputs.difference(nonEmptyInputs)],
+    ];
+  }, [agentInputSchema.required, inputValues]);
+  const [allCredentialsAreSet, missingCredentials] = useMemo(() => {
+    const availableCredentials = new Set(Object.keys(inputCredentials));
+    const allCredentials = new Set(Object.keys(agentCredentialsInputFields));
+    return [
+      availableCredentials.isSupersetOf(allCredentials),
+      [...allCredentials.difference(availableCredentials)],
+    ];
+  }, [agentCredentialsInputFields, inputCredentials]);
+  const notifyMissingInputs = useCallback(
+    (needPresetName: boolean = true) => {
+      const allMissingFields = (
+        needPresetName && !presetName
+          ? [graph.has_external_trigger ? "trigger_name" : "preset_name"]
+          : []
+      )
+        .concat(missingInputs)
+        .concat(missingCredentials);
+      toast({
+        title: "⚠️ Not all required inputs are set",
+        description: `Please set ${allMissingFields.map((k) => `\`${k}\``).join(", ")}`,
+      });
+    },
+    [missingInputs, missingCredentials],
+  );
+
+  const doRun = useCallback(async () => {
+    // Manually running webhook-triggered agents is not supported
+    if (graph.has_external_trigger) return;
+
+    if (!agentPreset || changedPresetAttributes.size > 0) {
+      if (!allRequiredInputsAreSet || !allCredentialsAreSet) {
+        notifyMissingInputs(false);
+        return;
+      }
+      if (_doRun) {
+        await _doRun(inputValues, inputCredentials);
+        return;
+      }
+      // TODO: on executing preset with changes, ask for confirmation and offer save+run
+      const newRun = await api
+        .executeGraph(graph.id, graph.version, inputValues, inputCredentials)
+        .catch(toastOnFail("execute agent"));
+
+      if (newRun && onRun) onRun(newRun.graph_exec_id);
+    } else {
+      await api
+        .executeLibraryAgentPreset(agentPreset.id)
+        .then((newRun) => onRun && onRun(newRun.id))
+        .catch(toastOnFail("execute agent preset"));
+    }
+    // Mark run agent onboarding step as completed
+    if (onboardingState?.completedSteps.includes("MARKETPLACE_ADD_AGENT")) {
+      completeOnboardingStep("MARKETPLACE_RUN_AGENT");
+    }
+  }, [
+    api,
+    graph,
+    inputValues,
+    inputCredentials,
+    onRun,
+    toastOnFail,
+    onboardingState,
+    completeOnboardingStep,
+  ]);
+
+  const doCreatePreset = useCallback(async () => {
+    if (!onCreatePreset) return;
+
+    if (!presetName || !allRequiredInputsAreSet || !allCredentialsAreSet) {
+      notifyMissingInputs();
+      return;
+    }
+
+    await api
+      .createLibraryAgentPreset({
+        name: presetName,
+        description: presetDescription,
+        graph_id: graph.id,
+        graph_version: graph.version,
+        inputs: inputValues,
+        credentials: inputCredentials,
+      })
+      .then((newPreset) => {
+        onCreatePreset(newPreset);
+        setChangedPresetAttributes(new Set()); // reset change tracker
+      })
+      .catch(toastOnFail("save agent preset"));
+  }, [
+    api,
+    graph,
+    presetName,
+    presetDescription,
+    inputValues,
+    inputCredentials,
+    onCreatePreset,
+    toast,
+    toastOnFail,
+    onboardingState,
+    completeOnboardingStep,
+  ]);
+
+  const doUpdatePreset = useCallback(async () => {
+    if (!agentPreset || changedPresetAttributes.size == 0) return;
+
+    if (!presetName || !allRequiredInputsAreSet || !allCredentialsAreSet) {
+      notifyMissingInputs();
+      return;
+    }
+
+    const updatePreset: LibraryAgentPresetUpdatable = {};
+    if (changedPresetAttributes.has("name")) updatePreset["name"] = presetName;
+    if (changedPresetAttributes.has("description"))
+      updatePreset["description"] = presetDescription;
+    if (
+      changedPresetAttributes.has("inputs") ||
+      changedPresetAttributes.has("credentials")
+    ) {
+      updatePreset["inputs"] = inputValues;
+      updatePreset["credentials"] = inputCredentials;
+    }
+    await api
+      .updateLibraryAgentPreset(agentPreset.id, updatePreset)
+      .then((updatedPreset) => {
+        onUpdatePreset(updatedPreset);
+        setChangedPresetAttributes(new Set()); // reset change tracker
+      })
+      .catch(toastOnFail("update agent preset"));
+  }, [
+    api,
+    graph,
+    presetName,
+    presetDescription,
+    inputValues,
+    inputCredentials,
+    onUpdatePreset,
+    toast,
+    toastOnFail,
+    onboardingState,
+    completeOnboardingStep,
+  ]);
+
+  const doSetPresetActive = useCallback(
+    async (active: boolean) => {
+      if (!agentPreset) return;
+      const updatedPreset = await api.updateLibraryAgentPreset(agentPreset.id, {
+        is_active: active,
+      });
+      onUpdatePreset(updatedPreset);
+    },
+    [agentPreset, api, onUpdatePreset],
+  );
+
+  const doSetupTrigger = useCallback(async () => {
+    // Setting up a trigger for non-webhook-triggered agents is not supported
+    if (!triggerSetupInfo || !onCreatePreset) return;
+
+    if (!presetName || !allRequiredInputsAreSet || !allCredentialsAreSet) {
+      notifyMissingInputs();
+      return;
+    }
+
+    if (!triggerSetupInfo.credentials_input_name) {
+      // FIXME: implement support for manual-setup webhooks
+      toast({
+        variant: "destructive",
+        title: "🚧 Feature under construction",
+        description: "Setting up non-auto-setup triggers is not yet supported.",
+      });
+      return;
+    }
+
+    await api
+      .setupAgentTrigger({
+        name: presetName,
+        description: presetDescription,
+        graph_id: graph.id,
+        graph_version: graph.version,
+        trigger_config: inputValues,
+        agent_credentials: inputCredentials,
+      })
+      .then((newPreset) => {
+        onCreatePreset(newPreset);
+        setChangedPresetAttributes(new Set()); // reset change tracker
+      })
+      .catch(toastOnFail("set up agent trigger"));
+
+    // Mark run agent onboarding step as completed(?)
+    if (onboardingState?.completedSteps.includes("MARKETPLACE_ADD_AGENT")) {
+      completeOnboardingStep("MARKETPLACE_RUN_AGENT");
+    }
+  }, [
+    api,
+    graph,
+    presetName,
+    presetDescription,
+    inputValues,
+    inputCredentials,
+    onCreatePreset,
+    toast,
+    toastOnFail,
+    onboardingState,
+    completeOnboardingStep,
+  ]);
+
+  const openScheduleDialog = useCallback(() => {
+    // Scheduling is not supported for webhook-triggered agents
+    if (graph.has_external_trigger) return;
+
+    if (!allRequiredInputsAreSet || !allCredentialsAreSet) {
+      notifyMissingInputs(false);
+      return;
+    }
+
+    setCronScheduleDialogOpen(true);
+  }, [
+    graph,
+    allRequiredInputsAreSet,
+    allCredentialsAreSet,
+    notifyMissingInputs,
+  ]);
+
+  const doSetupSchedule = useCallback(
+    async (cronExpression: string, scheduleName: string) => {
+      // Scheduling is not supported for webhook-triggered agents
+      if (graph.has_external_trigger) return;
+
+      if (_doCreateSchedule) {
+        await _doCreateSchedule(
+          cronExpression,
+          scheduleName || graph.name,
+          inputValues,
+          inputCredentials,
+        );
+        return;
+      }
+      const schedule = await api
+        .createGraphExecutionSchedule({
+          graph_id: graph.id,
+          graph_version: graph.version,
+          name: scheduleName || graph.name,
+          cron: cronExpression,
+          inputs: inputValues,
+          credentials: inputCredentials,
+        })
+        .catch(toastOnFail("set up agent run schedule"));
+
+      if (schedule && onCreateSchedule) onCreateSchedule(schedule);
+    },
+    [api, graph, inputValues, inputCredentials, onCreateSchedule, toastOnFail],
+  );
+
+  const runActions: ButtonAction[] = useMemo(
+    () => [
+      // "Regular" agent: [run] + [save as preset] buttons
+      ...(!graph.has_external_trigger
+        ? ([
+            {
+              label: (
+                <>
+                  <IconPlay className="mr-2 size-4" /> Run
+                </>
+              ),
+              variant: "accent",
+              callback: doRun,
+              extraProps: { "data-testid": "agent-run-button" },
+            },
+            {
+              label: (
+                <>
+                  <CalendarClockIcon className="mr-2 size-4" /> Schedule
+                </>
+              ),
+              callback: openScheduleDialog,
+            },
+            // {
+            //   label: (
+            //     <>
+            //       <IconSave className="mr-2 size-4" /> Save as a preset
+            //     </>
+            //   ),
+            //   callback: doCreatePreset,
+            //   disabled: !(
+            //     presetName &&
+            //     allRequiredInputsAreSet &&
+            //     allCredentialsAreSet
+            //   ),
+            // },
+          ] satisfies ButtonAction[])
+        : []),
+      // Triggered agent: [setup] button
+      ...(graph.has_external_trigger && !agentPreset?.webhook_id
+        ? ([
+            {
+              label: (
+                <>
+                  <IconPlay className="mr-2 size-4" /> Set up trigger
+                </>
+              ),
+              variant: "accent",
+              callback: doSetupTrigger,
+              disabled: !(
+                presetName &&
+                allRequiredInputsAreSet &&
+                allCredentialsAreSet
+              ),
+            },
+          ] satisfies ButtonAction[])
+        : []),
+      // Existing agent trigger: [enable]/[disable] button
+      ...(agentPreset?.webhook_id
+        ? ([
+            agentPreset.is_active
+              ? {
+                  label: (
+                    <>
+                      <IconCross className="mr-2.5 size-3.5" /> Disable trigger
+                    </>
+                  ),
+                  variant: "destructive",
+                  callback: () => doSetPresetActive(false),
+                }
+              : {
+                  label: (
+                    <>
+                      <IconPlay className="mr-2 size-4" /> Enable trigger
+                    </>
+                  ),
+                  variant: "accent",
+                  callback: () => doSetPresetActive(true),
+                },
+          ] satisfies ButtonAction[])
+        : []),
+      // Existing agent preset/trigger: [save] and [delete] buttons
+      ...(agentPreset
+        ? ([
+            {
+              label: (
+                <>
+                  <IconSave className="mr-2 size-4" /> Save changes
+                </>
+              ),
+              callback: doUpdatePreset,
+              disabled: !(
+                changedPresetAttributes.size > 0 &&
+                presetName &&
+                allRequiredInputsAreSet &&
+                allCredentialsAreSet
+              ),
+            },
+            {
+              label: (
+                <>
+                  <Trash2Icon className="mr-2 size-4" />
+                  Delete {graph.has_external_trigger ? "trigger" : "preset"}
+                </>
+              ),
+              callback: () => doDeletePreset(agentPreset.id),
+            },
+          ] satisfies ButtonAction[])
+        : []),
+    ],
+    [
+      graph.has_external_trigger,
+      agentPreset,
+      doRun,
+      doSetupTrigger,
+      doCreatePreset,
+      doUpdatePreset,
+      doDeletePreset,
+      openScheduleDialog,
+      changedPresetAttributes,
+      presetName,
+      allRequiredInputsAreSet,
+      allCredentialsAreSet,
+    ],
+  );
+
+  return (
+    <div className={cn("agpt-div flex gap-6", className)}>
+      <div className="flex min-w-0 flex-1 flex-col gap-4">
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Input</CardTitle>
+          </CardHeader>
+          <CardContent className="flex flex-col gap-4">
+            {(agentPreset || graph.has_external_trigger) && (
+              <>
+                {/* Preset name and description */}
+                <div className="flex flex-col space-y-2">
+                  <label className="flex items-center gap-1 text-sm font-medium">
+                    {graph.has_external_trigger ? "Trigger" : "Preset"} Name
+                    <SchemaTooltip
+                      description={`Name of the ${graph.has_external_trigger ? "trigger" : "preset"} you are setting up`}
+                    />
+                  </label>
+                  <Input
+                    value={presetName}
+                    placeholder={`Enter ${graph.has_external_trigger ? "trigger" : "preset"} name`}
+                    onChange={(e) => {
+                      setPresetName(e.target.value);
+                      setChangedPresetAttributes((prev) => prev.add("name"));
+                    }}
+                  />
+                </div>
+                <div className="flex flex-col space-y-2">
+                  <label className="flex items-center gap-1 text-sm font-medium">
+                    {graph.has_external_trigger ? "Trigger" : "Preset"}{" "}
+                    Description
+                    <SchemaTooltip
+                      description={`Description of the ${graph.has_external_trigger ? "trigger" : "preset"} you are setting up`}
+                    />
+                  </label>
+                  <Input
+                    value={presetDescription}
+                    placeholder={`Enter ${graph.has_external_trigger ? "trigger" : "preset"} description`}
+                    onChange={(e) => {
+                      setPresetDescription(e.target.value);
+                      setChangedPresetAttributes((prev) =>
+                        prev.add("description"),
+                      );
+                    }}
+                  />
+                </div>
+              </>
+            )}
+
+            {/* Credentials inputs */}
+            {Object.entries(agentCredentialsInputFields).map(
+              ([key, inputSubSchema]) => (
+                <CredentialsInput
+                  key={key}
+                  schema={{ ...inputSubSchema, discriminator: undefined }}
+                  selectedCredentials={
+                    inputCredentials[key] ?? inputSubSchema.default
+                  }
+                  onSelectCredentials={(value) => {
+                    setInputCredentials((obj) => {
+                      const newObj = { ...obj };
+                      if (value === undefined) {
+                        delete newObj[key];
+                        return newObj;
+                      }
+                      return {
+                        ...obj,
+                        [key]: value,
+                      };
+                    });
+                    setChangedPresetAttributes((prev) =>
+                      prev.add("credentials"),
+                    );
+                  }}
+                  hideIfSingleCredentialAvailable={
+                    !agentPreset && !graph.has_external_trigger
+                  }
+                />
+              ),
+            )}
+
+            {/* Regular inputs */}
+            {Object.entries(agentInputFields).map(([key, inputSubSchema]) => (
+              <div key={key} className="flex flex-col space-y-2">
+                <label className="flex items-center gap-1 text-sm font-medium">
+                  {inputSubSchema.title || key}
+                  <SchemaTooltip description={inputSubSchema.description} />
+                </label>
+
+                <TypeBasedInput
+                  schema={inputSubSchema}
+                  value={inputValues[key] ?? inputSubSchema.default}
+                  placeholder={inputSubSchema.description}
+                  onChange={(value) => {
+                    setInputValues((obj) => ({
+                      ...obj,
+                      [key]: value,
+                    }));
+                    setChangedPresetAttributes((prev) => prev.add("inputs"));
+                  }}
+                  data-testid={`agent-input-${key}`}
+                />
+              </div>
+            ))}
+          </CardContent>
+        </Card>
+      </div>
+
+      {/* Actions */}
+      <aside className="w-48 xl:w-56">
+        <div className="flex flex-col gap-8">
+          <ActionButtonGroup
+            title={`${graph.has_external_trigger ? "Trigger" : agentPreset ? "Preset" : "Run"} actions`}
+            actions={runActions}
+          />
+          <CronSchedulerDialog
+            open={cronScheduleDialogOpen}
+            setOpen={setCronScheduleDialogOpen}
+            afterCronCreation={doSetupSchedule}
+            defaultScheduleName={graph.name}
+          />
+
+          {agentActions && agentActions.length > 0 && (
+            <ActionButtonGroup title="Agent actions" actions={agentActions} />
+          )}
+        </div>
+      </aside>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-runs-selector-list.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-runs-selector-list.tsx
new file mode 100644
index 000000000000..0645d22496ce
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-runs-selector-list.tsx
@@ -0,0 +1,208 @@
+"use client";
+import { Plus } from "lucide-react";
+import React, { useEffect, useState } from "react";
+
+import {
+  GraphExecutionID,
+  GraphExecutionMeta,
+  LibraryAgent,
+  LibraryAgentPreset,
+  LibraryAgentPresetID,
+  Schedule,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+import { cn } from "@/lib/utils";
+
+import { Badge } from "@/components/ui/badge";
+import { Button } from "@/components/atoms/Button/Button";
+import LoadingBox from "@/components/ui/loading";
+import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
+import { Separator } from "@/components/ui/separator";
+
+import { agentRunStatusMap } from "@/components/agents/agent-run-status-chip";
+import AgentRunSummaryCard from "@/components/agents/agent-run-summary-card";
+import { AgentRunsQuery } from "../../use-agent-runs";
+import { ScrollArea } from "@/components/ui/scroll-area";
+
+interface AgentRunsSelectorListProps {
+  agent: LibraryAgent;
+  agentRunsQuery: AgentRunsQuery;
+  agentPresets: LibraryAgentPreset[];
+  schedules: Schedule[];
+  selectedView: { type: "run" | "preset" | "schedule"; id?: string };
+  allowDraftNewRun?: boolean;
+  onSelectRun: (id: GraphExecutionID) => void;
+  onSelectPreset: (preset: LibraryAgentPresetID) => void;
+  onSelectSchedule: (id: ScheduleID) => void;
+  onSelectDraftNewRun: () => void;
+  doDeleteRun: (id: GraphExecutionMeta) => void;
+  doDeletePreset: (id: LibraryAgentPresetID) => void;
+  doDeleteSchedule: (id: ScheduleID) => void;
+  className?: string;
+}
+
+export function AgentRunsSelectorList({
+  agent,
+  agentRunsQuery: {
+    agentRuns,
+    agentRunsLoading,
+    hasMoreRuns,
+    fetchMoreRuns,
+    isFetchingMoreRuns,
+  },
+  agentPresets,
+  schedules,
+  selectedView,
+  allowDraftNewRun = true,
+  onSelectRun,
+  onSelectPreset,
+  onSelectSchedule,
+  onSelectDraftNewRun,
+  doDeleteRun,
+  doDeletePreset,
+  doDeleteSchedule,
+  className,
+}: AgentRunsSelectorListProps): React.ReactElement {
+  const [activeListTab, setActiveListTab] = useState<"runs" | "scheduled">(
+    "runs",
+  );
+
+  useEffect(() => {
+    if (selectedView.type === "schedule") {
+      setActiveListTab("scheduled");
+    } else {
+      setActiveListTab("runs");
+    }
+  }, [selectedView]);
+
+  const listItemClasses = "h-28 w-72 lg:w-full lg:h-32";
+
+  return (
+    <aside className={cn("flex flex-col gap-4", className)}>
+      {allowDraftNewRun && (
+        <Button
+          className={"mb-4 hidden lg:flex"}
+          onClick={onSelectDraftNewRun}
+          leftIcon={<Plus className="h-6 w-6" />}
+        >
+          New {agent.has_external_trigger ? "trigger" : "run"}
+        </Button>
+      )}
+
+      <div className="flex gap-2">
+        <Badge
+          variant={activeListTab === "runs" ? "secondary" : "outline"}
+          className="cursor-pointer gap-2 rounded-full text-base"
+          onClick={() => setActiveListTab("runs")}
+        >
+          <span>Runs</span>
+          <span className="text-neutral-600">{agentRuns.length}</span>
+        </Badge>
+
+        <Badge
+          variant={activeListTab === "scheduled" ? "secondary" : "outline"}
+          className="cursor-pointer gap-2 rounded-full text-base"
+          onClick={() => setActiveListTab("scheduled")}
+        >
+          <span>Scheduled</span>
+          <span className="text-neutral-600">{schedules.length}</span>
+        </Badge>
+      </div>
+
+      {/* Runs / Schedules list */}
+      {agentRunsLoading && activeListTab === "runs" ? (
+        <LoadingBox className="h-28 w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80" />
+      ) : (
+        <ScrollArea
+          className="w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80"
+          orientation={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
+        >
+          <InfiniteScroll
+            direction={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
+            hasNextPage={hasMoreRuns}
+            fetchNextPage={fetchMoreRuns}
+            isFetchingNextPage={isFetchingMoreRuns}
+          >
+            <div className="flex items-center gap-2 lg:flex-col">
+              {/* New Run button - only in small layouts */}
+              {allowDraftNewRun && (
+                <Button
+                  size="large"
+                  className={
+                    "flex h-12 w-40 items-center gap-2 py-6 lg:hidden " +
+                    (selectedView.type == "run" && !selectedView.id
+                      ? "agpt-card-selected text-accent"
+                      : "")
+                  }
+                  onClick={onSelectDraftNewRun}
+                  leftIcon={<Plus className="h-6 w-6" />}
+                >
+                  New {agent.has_external_trigger ? "trigger" : "run"}
+                </Button>
+              )}
+
+              {activeListTab === "runs" ? (
+                <>
+                  {agentPresets
+                    .toSorted(
+                      (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
+                    )
+                    .map((preset) => (
+                      <AgentRunSummaryCard
+                        className={cn(listItemClasses, "lg:h-auto")}
+                        key={preset.id}
+                        type="preset"
+                        status={preset.is_active ? "active" : "inactive"}
+                        title={preset.name}
+                        // timestamp={preset.last_run_time} // TODO: implement this
+                        selected={selectedView.id === preset.id}
+                        onClick={() => onSelectPreset(preset.id)}
+                        onDelete={() => doDeletePreset(preset.id)}
+                      />
+                    ))}
+                  {agentPresets.length > 0 && <Separator className="my-1" />}
+                  {agentRuns
+                    .toSorted(
+                      (a, b) => b.started_at.getTime() - a.started_at.getTime(),
+                    )
+                    .map((run) => (
+                      <AgentRunSummaryCard
+                        className={listItemClasses}
+                        key={run.id}
+                        type="run"
+                        status={agentRunStatusMap[run.status]}
+                        title={
+                          (run.preset_id
+                            ? agentPresets.find((p) => p.id == run.preset_id)
+                                ?.name
+                            : null) ?? agent.name
+                        }
+                        timestamp={run.started_at}
+                        selected={selectedView.id === run.id}
+                        onClick={() => onSelectRun(run.id)}
+                        onDelete={() => doDeleteRun(run)}
+                      />
+                    ))}
+                </>
+              ) : (
+                schedules.map((schedule) => (
+                  <AgentRunSummaryCard
+                    className={listItemClasses}
+                    key={schedule.id}
+                    type="schedule"
+                    status="scheduled" // TODO: implement active/inactive status for schedules
+                    title={schedule.name}
+                    timestamp={schedule.next_run_time}
+                    selected={selectedView.id === schedule.id}
+                    onClick={() => onSelectSchedule(schedule.id)}
+                    onDelete={() => doDeleteSchedule(schedule.id)}
+                  />
+                ))
+              )}
+            </div>
+          </InfiniteScroll>
+        </ScrollArea>
+      )}
+    </aside>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-schedule-details-view.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-schedule-details-view.tsx
new file mode 100644
index 000000000000..3ce4e455ada1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-schedule-details-view.tsx
@@ -0,0 +1,174 @@
+"use client";
+import React, { useCallback, useMemo } from "react";
+
+import {
+  GraphExecutionID,
+  GraphMeta,
+  Schedule,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+import { AgentRunStatus } from "@/components/agents/agent-run-status-chip";
+import ActionButtonGroup from "@/components/agptui/action-button-group";
+import type { ButtonAction } from "@/components/agptui/types";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { IconCross } from "@/components/ui/icons";
+import { Input } from "@/components/ui/input";
+import LoadingBox from "@/components/ui/loading";
+import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
+import { humanizeCronExpression } from "@/lib/cron-expression-utils";
+import { formatScheduleTime } from "@/lib/timezone-utils";
+import { useGetV1GetUserTimezone } from "@/app/api/__generated__/endpoints/auth/auth";
+import { PlayIcon } from "lucide-react";
+
+export function AgentScheduleDetailsView({
+  graph,
+  schedule,
+  agentActions,
+  onForcedRun,
+  doDeleteSchedule,
+}: {
+  graph: GraphMeta;
+  schedule: Schedule;
+  agentActions: ButtonAction[];
+  onForcedRun: (runID: GraphExecutionID) => void;
+  doDeleteSchedule: (scheduleID: ScheduleID) => void;
+}): React.ReactNode {
+  const api = useBackendAPI();
+
+  const selectedRunStatus: AgentRunStatus = "scheduled";
+
+  const toastOnFail = useToastOnFail();
+
+  // Get user's timezone for displaying schedule times
+  const { data: timezoneData } = useGetV1GetUserTimezone();
+  const userTimezone = timezoneData?.data?.timezone || "UTC";
+
+  const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
+    return [
+      {
+        label: "Status",
+        value:
+          selectedRunStatus.charAt(0).toUpperCase() +
+          selectedRunStatus.slice(1),
+      },
+      {
+        label: "Schedule",
+        value: humanizeCronExpression(schedule.cron, userTimezone),
+      },
+      {
+        label: "Next run",
+        value: formatScheduleTime(schedule.next_run_time, userTimezone),
+      },
+    ];
+  }, [schedule, selectedRunStatus, userTimezone]);
+
+  const agentRunInputs: Record<
+    string,
+    { title?: string; /* type: BlockIOSubType; */ value: any }
+  > = useMemo(() => {
+    // TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
+
+    // Add type info from agent input schema
+    return Object.fromEntries(
+      Object.entries(schedule.input_data).map(([k, v]) => [
+        k,
+        {
+          title: graph.input_schema.properties[k].title,
+          /* TODO: type: agent.input_schema.properties[k].type */
+          value: v,
+        },
+      ]),
+    );
+  }, [graph, schedule]);
+
+  const runNow = useCallback(
+    () =>
+      api
+        .executeGraph(
+          graph.id,
+          graph.version,
+          schedule.input_data,
+          schedule.input_credentials,
+        )
+        .then((run) => onForcedRun(run.graph_exec_id))
+        .catch(toastOnFail("execute agent")),
+    [api, graph, schedule, onForcedRun, toastOnFail],
+  );
+
+  const runActions: ButtonAction[] = useMemo(
+    () => [
+      {
+        label: (
+          <>
+            <PlayIcon className="mr-2 size-4" />
+            Run now
+          </>
+        ),
+        callback: runNow,
+      },
+      {
+        label: (
+          <>
+            <IconCross className="mr-2 size-4 px-0.5" />
+            Delete schedule
+          </>
+        ),
+        callback: () => doDeleteSchedule(schedule.id),
+        variant: "destructive",
+      },
+    ],
+    [runNow],
+  );
+
+  return (
+    <div className="agpt-div flex gap-6">
+      <div className="flex flex-1 flex-col gap-4">
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Info</CardTitle>
+          </CardHeader>
+
+          <CardContent>
+            <div className="flex justify-stretch gap-4">
+              {infoStats.map(({ label, value }) => (
+                <div key={label} className="flex-1">
+                  <p className="text-sm font-medium text-black">{label}</p>
+                  <p className="text-sm text-neutral-600">{value}</p>
+                </div>
+              ))}
+            </div>
+          </CardContent>
+        </Card>
+
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Input</CardTitle>
+          </CardHeader>
+          <CardContent className="flex flex-col gap-4">
+            {agentRunInputs !== undefined ? (
+              Object.entries(agentRunInputs).map(([key, { title, value }]) => (
+                <div key={key} className="flex flex-col gap-1.5">
+                  <label className="text-sm font-medium">{title || key}</label>
+                  <Input value={value} className="rounded-full" disabled />
+                </div>
+              ))
+            ) : (
+              <LoadingBox spinnerSize={12} className="h-24" />
+            )}
+          </CardContent>
+        </Card>
+      </div>
+
+      {/* Run / Agent Actions */}
+      <aside className="w-48 xl:w-56">
+        <div className="flex flex-col gap-8">
+          <ActionButtonGroup title="Run actions" actions={runActions} />
+
+          <ActionButtonGroup title="Agent actions" actions={agentActions} />
+        </div>
+      </aside>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/use-agent-runs.ts b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/use-agent-runs.ts
new file mode 100644
index 000000000000..506744496f38
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/use-agent-runs.ts
@@ -0,0 +1,205 @@
+import {
+  getV1ListGraphExecutionsResponse,
+  getV1ListGraphExecutionsResponse200,
+  useGetV1ListGraphExecutionsInfinite,
+} from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { GraphExecutionsPaginated } from "@/app/api/__generated__/models/graphExecutionsPaginated";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import {
+  GraphExecutionMeta as LegacyGraphExecutionMeta,
+  GraphID,
+  GraphExecutionID,
+} from "@/lib/autogpt-server-api";
+import { GraphExecutionMeta as RawGraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
+
+export type GraphExecutionMeta = Omit<
+  RawGraphExecutionMeta,
+  "id" | "user_id" | "graph_id" | "preset_id" | "stats"
+> &
+  Pick<
+    LegacyGraphExecutionMeta,
+    "id" | "user_id" | "graph_id" | "preset_id" | "stats"
+  >;
+
+/** Hook to fetch runs for a specific graph, with support for infinite scroll.
+ *
+ * @param graphID - The ID of the graph to fetch agent runs for. This parameter is
+ *                  optional in the sense that the hook doesn't run unless it is passed.
+ *                  This way, it can be used in components where the graph ID is not
+ *                  immediately available.
+ */
+export const useAgentRunsInfinite = (graphID?: GraphID) => {
+  const queryClient = getQueryClient();
+  const {
+    data: queryResults,
+    refetch: refetchRuns,
+    isPending: agentRunsLoading,
+    isRefetching: agentRunsReloading,
+    hasNextPage: hasMoreRuns,
+    fetchNextPage: fetchMoreRuns,
+    isFetchingNextPage: isFetchingMoreRuns,
+    queryKey,
+  } = useGetV1ListGraphExecutionsInfinite(
+    graphID!,
+    { page: 1, page_size: 20 },
+    {
+      query: {
+        getNextPageParam: (lastPage) => {
+          const pagination = (lastPage.data as GraphExecutionsPaginated)
+            .pagination;
+          const hasMore =
+            pagination.current_page * pagination.page_size <
+            pagination.total_items;
+
+          return hasMore ? pagination.current_page + 1 : undefined;
+        },
+
+        // Prevent query from running if graphID is not available (yet)
+        ...(!graphID
+          ? {
+              enabled: false,
+              queryFn: () =>
+                // Fake empty response if graphID is not available (yet)
+                Promise.resolve({
+                  status: 200,
+                  data: {
+                    executions: [],
+                    pagination: {
+                      current_page: 1,
+                      page_size: 20,
+                      total_items: 0,
+                      total_pages: 0,
+                    },
+                  },
+                  headers: new Headers(),
+                } satisfies getV1ListGraphExecutionsResponse),
+            }
+          : {}),
+      },
+    },
+    queryClient,
+  );
+
+  const agentRuns =
+    queryResults?.pages.flatMap((page) => {
+      const response = page.data as GraphExecutionsPaginated;
+      return response.executions;
+    }) ?? [];
+
+  const agentRunCount = queryResults?.pages[-1]
+    ? (queryResults.pages[-1].data as GraphExecutionsPaginated).pagination
+        .total_items
+    : 0;
+
+  const upsertAgentRun = (newAgentRun: GraphExecutionMeta) => {
+    queryClient.setQueryData(
+      queryKey,
+      (currentQueryData: typeof queryResults) => {
+        if (!currentQueryData?.pages) return currentQueryData;
+
+        const exists = currentQueryData.pages.some((page) => {
+          if (page.status !== 200) return false;
+
+          const response = page.data;
+          return response.executions.some((run) => run.id === newAgentRun.id);
+        });
+        if (exists) {
+          // If the run already exists, we update it
+          return {
+            ...currentQueryData,
+            pages: currentQueryData.pages.map((page) => {
+              if (page.status !== 200) return page;
+              const response = page.data;
+              const executions = response.executions;
+
+              const index = executions.findIndex(
+                (run) => run.id === newAgentRun.id,
+              );
+              if (index === -1) return page;
+
+              const newExecutions = [...executions];
+              newExecutions[index] = newAgentRun;
+
+              return {
+                ...page,
+                data: {
+                  ...response,
+                  executions: newExecutions,
+                },
+              } satisfies getV1ListGraphExecutionsResponse;
+            }),
+          };
+        }
+
+        // If the run does not exist, we add it to the first page
+        const page = currentQueryData
+          .pages[0] as getV1ListGraphExecutionsResponse200 & {
+          headers: Headers;
+        };
+        const updatedExecutions = [newAgentRun, ...page.data.executions];
+        const updatedPage = {
+          ...page,
+          data: {
+            ...page.data,
+            executions: updatedExecutions,
+          },
+        } satisfies getV1ListGraphExecutionsResponse;
+        const updatedPages = [updatedPage, ...currentQueryData.pages.slice(1)];
+        return {
+          ...currentQueryData,
+          pages: updatedPages,
+        };
+      },
+    );
+  };
+
+  const removeAgentRun = (runID: GraphExecutionID) => {
+    queryClient.setQueryData(
+      [queryKey, { page: 1, page_size: 20 }],
+      (currentQueryData: typeof queryResults) => {
+        if (!currentQueryData?.pages) return currentQueryData;
+
+        let found = false;
+        return {
+          ...currentQueryData,
+          pages: currentQueryData.pages.map((page) => {
+            const response = page.data as GraphExecutionsPaginated;
+            const filteredExecutions = response.executions.filter(
+              (run) => run.id !== runID,
+            );
+            if (filteredExecutions.length < response.executions.length) {
+              found = true;
+            }
+
+            return {
+              ...page,
+              data: {
+                ...response,
+                executions: filteredExecutions,
+                pagination: {
+                  ...response.pagination,
+                  total_items:
+                    response.pagination.total_items - (found ? 1 : 0),
+                },
+              },
+            };
+          }),
+        };
+      },
+    );
+  };
+
+  return {
+    agentRuns: agentRuns as GraphExecutionMeta[],
+    refetchRuns,
+    agentRunCount,
+    agentRunsLoading: agentRunsLoading || agentRunsReloading,
+    hasMoreRuns,
+    fetchMoreRuns,
+    isFetchingMoreRuns,
+    upsertAgentRun,
+    removeAgentRun,
+  };
+};
+
+export type AgentRunsQuery = ReturnType<typeof useAgentRunsInfinite>;
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/loading.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/loading.tsx
new file mode 100644
index 000000000000..a2d436066641
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/loading.tsx
@@ -0,0 +1,3 @@
+import { AgentRunsLoading } from "./components/AgentRunsView/components/AgentRunsLoading";
+
+export default AgentRunsLoading;
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/page.tsx b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/page.tsx
new file mode 100644
index 000000000000..015b6ac63fe9
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/page.tsx
@@ -0,0 +1,16 @@
+"use client";
+
+import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
+
+import { OldAgentLibraryView } from "./components/OldAgentLibraryView/OldAgentLibraryView";
+import { AgentRunsView } from "./components/AgentRunsView/AgentRunsView";
+
+export default function AgentLibraryPage() {
+  const isNewAgentRunsEnabled = useGetFlag(Flag.NEW_AGENT_RUNS);
+
+  if (isNewAgentRunsEnabled) {
+    return <AgentRunsView />;
+  }
+
+  return <OldAgentLibraryView />;
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionHeader/LibraryActionHeader.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionHeader/LibraryActionHeader.tsx
new file mode 100644
index 000000000000..11011945fbe3
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionHeader/LibraryActionHeader.tsx
@@ -0,0 +1,34 @@
+// import LibraryNotificationDropdown from "./library-notification-dropdown";
+import LibraryUploadAgentDialog from "../LibraryUploadAgentDialog/LibraryUploadAgentDialog";
+import LibrarySearchBar from "../LibrarySearchBar/LibrarySearchBar";
+
+type LibraryActionHeaderProps = Record<string, never>;
+
+/**
+ * LibraryActionHeader component - Renders a header with search, notifications and filters
+ */
+const LibraryActionHeader: React.FC<LibraryActionHeaderProps> = ({}) => {
+  return (
+    <>
+      <div className="mb-[32px] hidden items-start justify-between md:flex">
+        {/* <LibraryNotificationDropdown /> */}
+        <LibrarySearchBar />
+        <LibraryUploadAgentDialog />
+      </div>
+
+      {/* Mobile and tablet */}
+      <div className="flex flex-col gap-4 p-4 pt-[52px] md:hidden">
+        <div className="flex w-full justify-between">
+          {/* <LibraryNotificationDropdown /> */}
+          <LibraryUploadAgentDialog />
+        </div>
+
+        <div className="flex items-center justify-center">
+          <LibrarySearchBar />
+        </div>
+      </div>
+    </>
+  );
+};
+
+export default LibraryActionHeader;
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionSubHeader/LibraryActionSubHeader.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionSubHeader/LibraryActionSubHeader.tsx
new file mode 100644
index 000000000000..be1ebe1aefa0
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionSubHeader/LibraryActionSubHeader.tsx
@@ -0,0 +1,28 @@
+"use client";
+
+import LibrarySortMenu from "../LibrarySortMenu/LibrarySortMenu";
+
+interface LibraryActionSubHeaderProps {
+  agentCount: number;
+}
+
+export default function LibraryActionSubHeader({
+  agentCount,
+}: LibraryActionSubHeaderProps) {
+  return (
+    <div className="flex items-center justify-between pb-[10px]">
+      <div className="flex items-center gap-[10px] p-2">
+        <span className="font-poppin w-[96px] text-[18px] font-semibold leading-[28px] text-neutral-800">
+          My agents
+        </span>
+        <span
+          className="w-[70px] font-sans text-[14px] font-normal leading-6"
+          data-testid="agents-count"
+        >
+          {agentCount} agents
+        </span>
+      </div>
+      <LibrarySortMenu />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentCard/LibraryAgentCard.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentCard/LibraryAgentCard.tsx
new file mode 100644
index 000000000000..b6419750ade8
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentCard/LibraryAgentCard.tsx
@@ -0,0 +1,106 @@
+import Link from "next/link";
+import Image from "next/image";
+
+import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
+import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
+
+interface LibraryAgentCardProps {
+  agent: LibraryAgent;
+}
+
+export default function LibraryAgentCard({
+  agent: {
+    id,
+    name,
+    description,
+    graph_id,
+    can_access_graph,
+    creator_image_url,
+    image_url,
+  },
+}: LibraryAgentCardProps) {
+  return (
+    <div
+      data-testid="library-agent-card"
+      data-agent-id={id}
+      className="inline-flex w-full max-w-[434px] flex-col items-start justify-start gap-2.5 rounded-[26px] bg-white transition-all duration-300 hover:shadow-lg dark:bg-transparent dark:hover:shadow-gray-700"
+    >
+      <Link
+        href={`/library/agents/${id}`}
+        className="relative h-[200px] w-full overflow-hidden rounded-[20px]"
+      >
+        {!image_url ? (
+          <div
+            className={`h-full w-full ${
+              [
+                "bg-gradient-to-r from-green-200 to-blue-200",
+                "bg-gradient-to-r from-pink-200 to-purple-200",
+                "bg-gradient-to-r from-yellow-200 to-orange-200",
+                "bg-gradient-to-r from-blue-200 to-cyan-200",
+                "bg-gradient-to-r from-indigo-200 to-purple-200",
+              ][parseInt(id.slice(0, 8), 16) % 5]
+            }`}
+            style={{
+              backgroundSize: "200% 200%",
+              animation: "gradient 15s ease infinite",
+            }}
+          />
+        ) : (
+          <Image
+            src={image_url}
+            alt={`${name} preview image`}
+            fill
+            className="object-cover"
+            priority
+          />
+        )}
+        <div className="absolute bottom-4 left-4">
+          <Avatar className="h-16 w-16">
+            <AvatarImage
+              src={
+                creator_image_url
+                  ? creator_image_url
+                  : "/avatar-placeholder.png"
+              }
+              alt={`${name} creator avatar`}
+            />
+            <AvatarFallback size={64}>{name.charAt(0)}</AvatarFallback>
+          </Avatar>
+        </div>
+      </Link>
+
+      <div className="flex w-full flex-1 flex-col px-4 py-4">
+        <Link href={`/library/agents/${id}`}>
+          <h3 className="mb-2 line-clamp-2 font-poppins text-2xl font-semibold leading-tight text-[#272727] dark:text-neutral-100">
+            {name}
+          </h3>
+
+          <p className="line-clamp-3 flex-1 text-sm text-gray-600 dark:text-gray-400">
+            {description}
+          </p>
+        </Link>
+
+        <div className="flex-grow" />
+        {/* Spacer */}
+
+        <div className="items-between mt-4 flex w-full justify-between gap-3">
+          <Link
+            href={`/library/agents/${id}`}
+            className="text-lg font-semibold text-neutral-800 hover:underline dark:text-neutral-200"
+          >
+            See runs
+          </Link>
+
+          {can_access_graph && (
+            <Link
+              href={`/build?flowID=${graph_id}`}
+              className="text-lg font-semibold text-neutral-800 hover:underline dark:text-neutral-200"
+            >
+              Open in builder
+            </Link>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentList/LibraryAgentList.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentList/LibraryAgentList.tsx
new file mode 100644
index 000000000000..1b3926a6e19b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentList/LibraryAgentList.tsx
@@ -0,0 +1,46 @@
+"use client";
+import LibraryActionSubHeader from "../LibraryActionSubHeader/LibraryActionSubHeader";
+import LibraryAgentCard from "../LibraryAgentCard/LibraryAgentCard";
+import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
+import { useLibraryAgentList } from "./useLibraryAgentList";
+
+export default function LibraryAgentList() {
+  const {
+    agentLoading,
+    agentCount,
+    allAgents: agents,
+    hasNextPage,
+    isFetchingNextPage,
+    fetchNextPage,
+  } = useLibraryAgentList();
+
+  const LoadingSpinner = () => (
+    <div className="h-8 w-8 animate-spin rounded-full border-b-2 border-t-2 border-neutral-800" />
+  );
+
+  return (
+    <>
+      <LibraryActionSubHeader agentCount={agentCount} />
+      <div className="px-2">
+        {agentLoading ? (
+          <div className="flex h-[200px] items-center justify-center">
+            <LoadingSpinner />
+          </div>
+        ) : (
+          <InfiniteScroll
+            isFetchingNextPage={isFetchingNextPage}
+            fetchNextPage={fetchNextPage}
+            hasNextPage={hasNextPage}
+            loader={<LoadingSpinner />}
+          >
+            <div className="grid grid-cols-1 gap-3 sm:grid-cols-2 md:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4">
+              {agents.map((agent) => (
+                <LibraryAgentCard key={agent.id} agent={agent} />
+              ))}
+            </div>
+          </InfiniteScroll>
+        )}
+      </div>
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentList/useLibraryAgentList.ts b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentList/useLibraryAgentList.ts
new file mode 100644
index 000000000000..fe402af6d594
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryAgentList/useLibraryAgentList.ts
@@ -0,0 +1,52 @@
+import { useGetV2ListLibraryAgentsInfinite } from "@/app/api/__generated__/endpoints/library/library";
+import { LibraryAgentResponse } from "@/app/api/__generated__/models/libraryAgentResponse";
+import { useLibraryPageContext } from "../state-provider";
+
+export const useLibraryAgentList = () => {
+  const { searchTerm, librarySort } = useLibraryPageContext();
+  const {
+    data: agents,
+    fetchNextPage,
+    hasNextPage,
+    isFetchingNextPage,
+    isLoading: agentLoading,
+  } = useGetV2ListLibraryAgentsInfinite(
+    {
+      page: 1,
+      page_size: 8,
+      search_term: searchTerm || undefined,
+      sort_by: librarySort,
+    },
+    {
+      query: {
+        getNextPageParam: (lastPage) => {
+          const pagination = (lastPage.data as LibraryAgentResponse).pagination;
+          const isMore =
+            pagination.current_page * pagination.page_size <
+            pagination.total_items;
+
+          return isMore ? pagination.current_page + 1 : undefined;
+        },
+      },
+    },
+  );
+
+  const allAgents =
+    agents?.pages?.flatMap((page) => {
+      const response = page.data as LibraryAgentResponse;
+      return response.agents;
+    }) ?? [];
+
+  const agentCount = agents?.pages?.[0]
+    ? (agents.pages[0].data as LibraryAgentResponse).pagination.total_items
+    : 0;
+
+  return {
+    allAgents,
+    agentLoading,
+    hasNextPage,
+    agentCount,
+    isFetchingNextPage,
+    fetchNextPage,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryNotificationCard/LibraryNotificationCard.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryNotificationCard/LibraryNotificationCard.tsx
new file mode 100644
index 000000000000..03df815f3127
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryNotificationCard/LibraryNotificationCard.tsx
@@ -0,0 +1,175 @@
+import Image from "next/image";
+import { Button } from "@/components/ui/button";
+import { Separator } from "@/components/ui/separator";
+import {
+  CirclePlayIcon,
+  ClipboardCopy,
+  ImageIcon,
+  PlayCircle,
+  Share2,
+  X,
+} from "lucide-react";
+
+export interface NotificationCardData {
+  type: "text" | "image" | "video" | "audio";
+  title: string;
+  id: string;
+  content?: string;
+  mediaUrl?: string;
+}
+
+interface NotificationCardProps {
+  notification: NotificationCardData;
+  onClose: () => void;
+}
+
+const NotificationCard = ({
+  notification: { type, title, content, mediaUrl },
+  onClose,
+}: NotificationCardProps) => {
+  const barHeights = Array.from({ length: 60 }, () =>
+    Math.floor(Math.random() * (34 - 20 + 1) + 20),
+  );
+
+  const handleClose = (e: React.MouseEvent<HTMLButtonElement>) => {
+    e.preventDefault();
+    onClose();
+  };
+
+  return (
+    <div className="w-[430px] space-y-[22px] rounded-[14px] border border-neutral-100 bg-neutral-50 p-[16px] pt-[12px]">
+      <div className="flex items-center justify-between">
+        {/* count */}
+        <div className="flex items-center gap-[10px]">
+          <p className="font-sans text-[12px] font-medium text-neutral-500">
+            1/4
+          </p>
+          <p className="h-[26px] rounded-[45px] bg-green-100 px-[9px] py-[3px] font-sans text-[12px] font-medium text-green-800">
+            Success
+          </p>
+        </div>
+
+        {/* cross icon */}
+        <Button
+          variant="ghost"
+          className="p-0 hover:bg-transparent"
+          onClick={handleClose}
+        >
+          <X
+            className="h-6 w-6 text-[#020617] hover:scale-105"
+            strokeWidth={1.25}
+          />
+        </Button>
+      </div>
+
+      <div className="space-y-[6px] p-0">
+        <p className="font-sans text-[14px] font-medium leading-[20px] text-neutral-500">
+          New Output Ready!
+        </p>
+        <h2 className="font-poppin text-[20px] font-medium leading-7 text-neutral-800">
+          {title}
+        </h2>
+        {type === "text" && <Separator />}
+      </div>
+
+      <div className="p-0">
+        {type === "text" && (
+          // Maybe in future we give markdown support
+          <div className="mt-[-8px] line-clamp-6 font-sans text-sm font-[400px] text-neutral-600">
+            {content}
+          </div>
+        )}
+
+        {type === "image" &&
+          (mediaUrl ? (
+            <div className="relative h-[200px] w-full">
+              <Image
+                src={mediaUrl}
+                alt={title}
+                fill
+                className="rounded-lg object-cover"
+              />
+            </div>
+          ) : (
+            <div className="flex h-[244px] w-full items-center justify-center rounded-lg bg-[#D9D9D9]">
+              <ImageIcon
+                className="h-[138px] w-[138px] text-neutral-400"
+                strokeWidth={1}
+              />
+            </div>
+          ))}
+
+        {type === "video" && (
+          <div className="space-y-4">
+            {mediaUrl ? (
+              <video src={mediaUrl} controls className="w-full rounded-lg" />
+            ) : (
+              <div className="flex h-[219px] w-[398px] items-center justify-center rounded-lg bg-[#D9D9D9]">
+                <PlayCircle
+                  className="h-16 w-16 text-neutral-500"
+                  strokeWidth={1}
+                />
+              </div>
+            )}
+          </div>
+        )}
+
+        {type === "audio" && (
+          <div className="flex gap-2">
+            <CirclePlayIcon
+              className="h-10 w-10 rounded-full bg-neutral-800 text-white"
+              strokeWidth={1}
+            />
+            <div className="flex flex-1 items-center justify-between">
+              {/* <audio src={mediaUrl} controls className="w-full" /> */}
+              {barHeights.map((h, i) => {
+                return (
+                  <div
+                    key={i}
+                    className={`rounded-[8px] bg-neutral-500`}
+                    style={{
+                      height: `${h}px`,
+                      width: "3px",
+                    }}
+                  />
+                );
+              })}
+            </div>
+          </div>
+        )}
+      </div>
+
+      <div className="flex justify-between gap-2 p-0">
+        <div className="space-x-3">
+          <Button
+            variant="outline"
+            onClick={() => {
+              navigator.share({
+                title,
+                text: content,
+                url: mediaUrl,
+              });
+            }}
+            className="h-10 w-10 rounded-full border-neutral-800 p-0"
+          >
+            <Share2 className="h-5 w-5" strokeWidth={1} />
+          </Button>
+          <Button
+            variant="outline"
+            onClick={() =>
+              navigator.clipboard.writeText(content || mediaUrl || "")
+            }
+            className="h-10 w-10 rounded-full border-neutral-800 p-0"
+          >
+            <ClipboardCopy className="h-5 w-5" strokeWidth={1} />
+          </Button>
+        </div>
+        <Button className="h-[40px] rounded-[52px] bg-neutral-800 px-4 py-2">
+          See run
+        </Button>
+      </div>
+    </div>
+  );
+};
+
+export default NotificationCard;
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryNotificationDropdown/LibraryNotificationDropdown.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryNotificationDropdown/LibraryNotificationDropdown.tsx
new file mode 100644
index 000000000000..f38ade2359cb
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryNotificationDropdown/LibraryNotificationDropdown.tsx
@@ -0,0 +1,132 @@
+"use client";
+import React, { useState, useEffect, useMemo } from "react";
+
+import { motion, useAnimationControls } from "framer-motion";
+import { BellIcon, X } from "lucide-react";
+import { Button } from "@/components/agptui/Button";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuLabel,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
+import NotificationCard, {
+  NotificationCardData,
+} from "../LibraryNotificationCard/LibraryNotificationCard";
+
+export default function LibraryNotificationDropdown(): React.ReactNode {
+  const controls = useAnimationControls();
+  const [open, setOpen] = useState(false);
+  const [notifications, setNotifications] = useState<
+    NotificationCardData[] | null
+  >(null);
+
+  const initialNotificationData = useMemo(
+    () =>
+      [
+        {
+          type: "audio",
+          title: "Audio Processing Complete",
+          id: "4",
+        },
+        {
+          type: "text",
+          title: "LinkedIn Post Generator: YouTube to Professional Content",
+          id: "1",
+          content:
+            "As artificial intelligence (AI) continues to evolve, it's increasingly clear that AI isn't just a trend—it's reshaping the way we work, innovate, and solve complex problems. However, for many professionals, the question remains: How can I leverage AI to drive meaningful results in my own field? In this article, we'll explore how AI can empower businesses and individuals alike to be more efficient, make better decisions, and unlock new opportunities. Whether you're in tech, finance, healthcare, or any other industry, understanding the potential of AI can set you apart.",
+        },
+        {
+          type: "image",
+          title: "New Image Upload",
+          id: "2",
+        },
+        {
+          type: "video",
+          title: "Video Processing Complete",
+          id: "3",
+        },
+      ] as NotificationCardData[],
+    [],
+  );
+
+  useEffect(() => {
+    if (initialNotificationData) {
+      setNotifications(initialNotificationData);
+    }
+  }, [initialNotificationData]);
+
+  const handleHoverStart = () => {
+    controls.start({
+      rotate: [0, -10, 10, -10, 10, 0],
+      transition: { duration: 0.5 },
+    });
+  };
+
+  return (
+    <DropdownMenu open={open} onOpenChange={setOpen}>
+      <DropdownMenuTrigger className="sm:flex-1" asChild>
+        <Button
+          variant={open ? "primary" : "outline"}
+          onMouseEnter={handleHoverStart}
+          onMouseLeave={handleHoverStart}
+          className="w-fit max-w-[161px] transition-all duration-200 ease-in-out sm:w-[161px]"
+        >
+          <motion.div animate={controls}>
+            <BellIcon
+              className="h-5 w-5 transition-all duration-200 ease-in-out sm:mr-2"
+              strokeWidth={2}
+            />
+          </motion.div>
+          <motion.div
+            initial={{ opacity: 1 }}
+            animate={{ opacity: 1 }}
+            exit={{ opacity: 0 }}
+            className="hidden items-center transition-opacity duration-300 sm:inline-flex"
+          >
+            Your updates
+            <span className="ml-2 text-[14px]">
+              {notifications?.length || 0}
+            </span>
+          </motion.div>
+        </Button>
+      </DropdownMenuTrigger>
+      <DropdownMenuContent
+        sideOffset={22}
+        className="relative left-[16px] h-[80vh] w-fit overflow-y-auto rounded-[26px] bg-[#C5C5CA] p-5"
+      >
+        <DropdownMenuLabel className="z-10 mb-4 font-sans text-[18px] text-white">
+          Agent run updates
+        </DropdownMenuLabel>
+        <button
+          className="absolute right-[10px] top-[20px] h-fit w-fit"
+          onClick={() => setOpen(false)}
+        >
+          <X className="h-6 w-6 text-white hover:text-white/60" />
+        </button>
+        <div className="space-y-[12px]">
+          {notifications && notifications.length ? (
+            notifications.map((notification) => (
+              <DropdownMenuItem key={notification.id} className="p-0">
+                <NotificationCard
+                  notification={notification}
+                  onClose={() =>
+                    setNotifications((prev) => {
+                      if (!prev) return null;
+                      return prev.filter((n) => n.id !== notification.id);
+                    })
+                  }
+                />
+              </DropdownMenuItem>
+            ))
+          ) : (
+            <div className="w-[464px] py-4 text-center text-white">
+              No notifications present
+            </div>
+          )}
+        </div>
+      </DropdownMenuContent>
+    </DropdownMenu>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySearchBar/LibrarySearchBar.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySearchBar/LibrarySearchBar.tsx
new file mode 100644
index 000000000000..4a1422b5ea3b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySearchBar/LibrarySearchBar.tsx
@@ -0,0 +1,40 @@
+"use client";
+import { Input } from "@/components/ui/input";
+import { Search, X } from "lucide-react";
+import { useLibrarySearchbar } from "./useLibrarySearchbar";
+
+export default function LibrarySearchBar(): React.ReactNode {
+  const { handleSearchInput, handleClear, setIsFocused, isFocused, inputRef } =
+    useLibrarySearchbar();
+  return (
+    <div
+      data-testid="search-bar"
+      onClick={() => inputRef.current?.focus()}
+      className="relative z-[21] mx-auto flex h-[50px] w-full max-w-[500px] flex-1 cursor-pointer items-center rounded-[45px] bg-[#EDEDED] px-[24px] py-[10px]"
+    >
+      <Search
+        className="mr-2 h-[29px] w-[29px] text-neutral-900"
+        strokeWidth={1.25}
+      />
+
+      <Input
+        ref={inputRef}
+        onFocus={() => setIsFocused(true)}
+        onBlur={() => !inputRef.current?.value && setIsFocused(false)}
+        onChange={handleSearchInput}
+        className="flex-1 border-none font-sans text-[16px] font-normal leading-7 shadow-none focus:shadow-none focus:ring-0"
+        type="text"
+        data-testid="library-textbox"
+        placeholder="Search agents"
+      />
+
+      {isFocused && inputRef.current?.value && (
+        <X
+          className="ml-2 h-[29px] w-[29px] cursor-pointer text-neutral-900"
+          strokeWidth={1.25}
+          onClick={handleClear}
+        />
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySearchBar/useLibrarySearchbar.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySearchBar/useLibrarySearchbar.tsx
new file mode 100644
index 000000000000..f6428c6c4eb0
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySearchBar/useLibrarySearchbar.tsx
@@ -0,0 +1,36 @@
+import { useRef, useState } from "react";
+import { useLibraryPageContext } from "../state-provider";
+import { debounce } from "lodash";
+
+export const useLibrarySearchbar = () => {
+  const inputRef = useRef<HTMLInputElement>(null);
+  const [isFocused, setIsFocused] = useState(false);
+  const { setSearchTerm } = useLibraryPageContext();
+
+  const debouncedSearch = debounce((value: string) => {
+    setSearchTerm(value);
+  }, 300);
+
+  const handleSearchInput = (e: React.ChangeEvent<HTMLInputElement>) => {
+    const searchTerm = e.target.value;
+    debouncedSearch(searchTerm);
+  };
+
+  const handleClear = (e: React.MouseEvent) => {
+    if (inputRef.current) {
+      inputRef.current.value = "";
+      inputRef.current.blur();
+      setSearchTerm("");
+      e.preventDefault();
+    }
+    setIsFocused(false);
+  };
+
+  return {
+    handleClear,
+    handleSearchInput,
+    isFocused,
+    inputRef,
+    setIsFocused,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySortMenu/LibrarySortMenu.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySortMenu/LibrarySortMenu.tsx
new file mode 100644
index 000000000000..f86b26f5f505
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySortMenu/LibrarySortMenu.tsx
@@ -0,0 +1,37 @@
+"use client";
+import { ArrowDownNarrowWideIcon } from "lucide-react";
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { LibraryAgentSort } from "@/app/api/__generated__/models/libraryAgentSort";
+import { useLibrarySortMenu } from "./useLibrarySortMenu";
+
+export default function LibrarySortMenu(): React.ReactNode {
+  const { handleSortChange } = useLibrarySortMenu();
+  return (
+    <div className="flex items-center" data-testid="sort-by-dropdown">
+      <span className="hidden whitespace-nowrap sm:inline">sort by</span>
+      <Select onValueChange={handleSortChange}>
+        <SelectTrigger className="ml-1 w-fit space-x-1 border-none px-0 text-base underline underline-offset-4 shadow-none">
+          <ArrowDownNarrowWideIcon className="h-4 w-4 sm:hidden" />
+          <SelectValue placeholder="Last Modified" />
+        </SelectTrigger>
+        <SelectContent>
+          <SelectGroup>
+            <SelectItem value={LibraryAgentSort.createdAt}>
+              Creation Date
+            </SelectItem>
+            <SelectItem value={LibraryAgentSort.updatedAt}>
+              Last Modified
+            </SelectItem>
+          </SelectGroup>
+        </SelectContent>
+      </Select>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySortMenu/useLibrarySortMenu.ts b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySortMenu/useLibrarySortMenu.ts
new file mode 100644
index 000000000000..d2575c89366b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibrarySortMenu/useLibrarySortMenu.ts
@@ -0,0 +1,27 @@
+import { LibraryAgentSort } from "@/app/api/__generated__/models/libraryAgentSort";
+import { useLibraryPageContext } from "../state-provider";
+
+export const useLibrarySortMenu = () => {
+  const { setLibrarySort } = useLibraryPageContext();
+
+  const handleSortChange = (value: LibraryAgentSort) => {
+    // Simply updating the sort state - React Query will handle the rest
+    setLibrarySort(value);
+  };
+
+  const getSortLabel = (sort: LibraryAgentSort) => {
+    switch (sort) {
+      case LibraryAgentSort.createdAt:
+        return "Creation Date";
+      case LibraryAgentSort.updatedAt:
+        return "Last Modified";
+      default:
+        return "Last Modified";
+    }
+  };
+
+  return {
+    handleSortChange,
+    getSortLabel,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryUploadAgentDialog/LibraryUploadAgentDialog.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryUploadAgentDialog/LibraryUploadAgentDialog.tsx
new file mode 100644
index 000000000000..9bc5223a5ec4
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryUploadAgentDialog/LibraryUploadAgentDialog.tsx
@@ -0,0 +1,188 @@
+"use client";
+import { Upload, X } from "lucide-react";
+import { Button } from "@/components/agptui/Button";
+import {
+  Dialog,
+  DialogContent,
+  DialogHeader,
+  DialogTitle,
+  DialogTrigger,
+} from "@/components/ui/dialog";
+import { z } from "zod";
+import { FileUploader } from "react-drag-drop-files";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "@/components/ui/input";
+import { Textarea } from "@/components/ui/textarea";
+import { useLibraryUploadAgentDialog } from "./useLibraryUploadAgentDialog";
+
+const fileTypes = ["JSON"];
+
+const fileSchema = z.custom<File>((val) => val instanceof File, {
+  message: "Must be a File object",
+});
+
+export const uploadAgentFormSchema = z.object({
+  agentFile: fileSchema,
+  agentName: z.string().min(1, "Agent name is required"),
+  agentDescription: z.string(),
+});
+
+export default function LibraryUploadAgentDialog(): React.ReactNode {
+  const {
+    onSubmit,
+    isUploading,
+    isOpen,
+    setIsOpen,
+    isDroped,
+    handleChange,
+    form,
+    setisDroped,
+    agentObject,
+    clearAgentFile,
+  } = useLibraryUploadAgentDialog();
+  return (
+    <Dialog open={isOpen} onOpenChange={setIsOpen}>
+      <DialogTrigger asChild>
+        <Button
+          data-testid="upload-agent-button"
+          variant="primary"
+          className="w-fit sm:w-[177px]"
+        >
+          <Upload className="h-5 w-5 sm:mr-2" />
+          <span className="hidden items-center sm:inline-flex">
+            Upload an agent
+          </span>
+        </Button>
+      </DialogTrigger>
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle className="mb-8 text-center">Upload Agent</DialogTitle>
+        </DialogHeader>
+
+        <Form {...form}>
+          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+            <FormField
+              control={form.control}
+              name="agentName"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Agent name</FormLabel>
+                  <FormControl>
+                    <Input {...field} className="w-full rounded-[10px]" />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="agentDescription"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Description</FormLabel>
+                  <FormControl>
+                    <Textarea {...field} className="w-full rounded-[10px]" />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="agentFile"
+              render={({ field }) => (
+                <FormItem className="rounded-xl border-2 border-dashed border-neutral-300 hover:border-neutral-600">
+                  <FormControl>
+                    {field.value ? (
+                      <div className="relative flex rounded-[10px] border p-2 font-sans text-sm font-medium text-[#525252] outline-none">
+                        <span className="line-clamp-1">{field.value.name}</span>
+                        <Button
+                          onClick={clearAgentFile}
+                          className="absolute left-[-10px] top-[-16px] mt-2 h-fit border-none bg-red-200 p-1"
+                        >
+                          <X
+                            className="m-0 h-[12px] w-[12px] text-red-600"
+                            strokeWidth={3}
+                          />
+                        </Button>
+                      </div>
+                    ) : (
+                      <FileUploader
+                        handleChange={handleChange}
+                        name="file"
+                        types={fileTypes}
+                        label={"Upload your agent here..!!"}
+                        uploadedLabel={"Uploading Successful"}
+                        required={true}
+                        hoverTitle={"Drop your agent here...!!"}
+                        maxSize={10}
+                        classes={"drop-style"}
+                        onDrop={() => {
+                          setisDroped(true);
+                        }}
+                        onSelect={() => setisDroped(true)}
+                      >
+                        <div
+                          style={{
+                            minHeight: "150px",
+                            display: "flex",
+                            flexDirection: "column",
+                            justifyContent: "center",
+                            alignItems: "center",
+                            outline: "none",
+                            color: "#525252",
+                            fontSize: "14px",
+                            fontWeight: "500",
+                            borderWidth: "0px",
+                          }}
+                        >
+                          {isDroped ? (
+                            <div className="flex items-center justify-center py-4">
+                              <div className="h-8 w-8 animate-spin rounded-full border-b-2 border-t-2 border-neutral-800"></div>
+                            </div>
+                          ) : (
+                            <>
+                              <span>Drop your agent here</span>
+                              <span>or</span>
+                              <span>Click to upload</span>
+                            </>
+                          )}
+                        </div>
+                      </FileUploader>
+                    )}
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <Button
+              type="submit"
+              variant="primary"
+              className="mt-2 self-end"
+              disabled={!agentObject || isUploading}
+            >
+              {isUploading ? (
+                <div className="flex items-center gap-2">
+                  <div className="h-4 w-4 animate-spin rounded-full border-b-2 border-t-2 border-white"></div>
+                  <span>Uploading...</span>
+                </div>
+              ) : (
+                "Upload Agent"
+              )}
+            </Button>
+          </form>
+        </Form>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryUploadAgentDialog/useLibraryUploadAgentDialog.ts b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryUploadAgentDialog/useLibraryUploadAgentDialog.ts
new file mode 100644
index 000000000000..8de5353782d3
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/LibraryUploadAgentDialog/useLibraryUploadAgentDialog.ts
@@ -0,0 +1,133 @@
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { uploadAgentFormSchema } from "./LibraryUploadAgentDialog";
+import { usePostV1CreateNewGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { GraphModel } from "@/app/api/__generated__/models/graphModel";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { useState } from "react";
+import { Graph } from "@/app/api/__generated__/models/graph";
+import { sanitizeImportedGraph } from "@/lib/autogpt-server-api";
+
+export const useLibraryUploadAgentDialog = () => {
+  const [isDroped, setisDroped] = useState(false);
+  const [isOpen, setIsOpen] = useState(false);
+  const { toast } = useToast();
+  const [agentObject, setAgentObject] = useState<Graph | null>(null);
+
+  const { mutateAsync: createGraph, isPending: isUploading } =
+    usePostV1CreateNewGraph({
+      mutation: {
+        onSuccess: ({ data }) => {
+          setIsOpen(false);
+          toast({
+            title: "Success",
+            description: "Agent uploaded successfully",
+            variant: "default",
+          });
+          const qID = "flowID";
+          window.location.href = `/build?${qID}=${(data as GraphModel).id}`;
+        },
+        onError: () => {
+          toast({
+            title: "Error",
+            description: "Error Uploading agent",
+            variant: "destructive",
+          });
+        },
+      },
+    });
+
+  const form = useForm<z.infer<typeof uploadAgentFormSchema>>({
+    resolver: zodResolver(uploadAgentFormSchema),
+    defaultValues: {
+      agentName: "",
+      agentDescription: "",
+    },
+  });
+
+  const onSubmit = async (values: z.infer<typeof uploadAgentFormSchema>) => {
+    if (!agentObject) {
+      form.setError("root", { message: "No Agent object to save" });
+      return;
+    }
+
+    const payload: Graph = {
+      ...agentObject,
+      name: values.agentName,
+      description: values.agentDescription,
+      is_active: true,
+    };
+
+    await createGraph({
+      data: {
+        graph: payload,
+      },
+    });
+  };
+
+  const handleChange = (file: File) => {
+    setTimeout(() => {
+      setisDroped(false);
+    }, 2000);
+
+    form.setValue("agentFile", file);
+    const reader = new FileReader();
+    reader.onload = (event) => {
+      try {
+        const obj = JSON.parse(event.target?.result as string);
+        if (
+          !["name", "description", "nodes", "links"].every(
+            (key) => key in obj && obj[key] != null,
+          )
+        ) {
+          throw new Error(
+            "Invalid agent object in file: " + JSON.stringify(obj, null, 2),
+          );
+        }
+        const agent = obj as Graph;
+        sanitizeImportedGraph(agent);
+        setAgentObject(agent);
+        if (!form.getValues("agentName")) {
+          form.setValue("agentName", agent.name);
+        }
+        if (!form.getValues("agentDescription")) {
+          form.setValue("agentDescription", agent.description);
+        }
+      } catch (error) {
+        console.error("Error loading agent file:", error);
+      }
+    };
+    reader.readAsText(file);
+    setisDroped(false);
+  };
+
+  const clearAgentFile = () => {
+    const currentName = form.getValues("agentName");
+    const currentDescription = form.getValues("agentDescription");
+    const prevAgent = agentObject;
+
+    form.setValue("agentFile", undefined as any);
+    if (prevAgent && currentName === prevAgent.name) {
+      form.setValue("agentName", "");
+    }
+    if (prevAgent && currentDescription === prevAgent.description) {
+      form.setValue("agentDescription", "");
+    }
+
+    setAgentObject(null);
+  };
+
+  return {
+    onSubmit,
+    isUploading,
+    isOpen,
+    setIsOpen,
+    form,
+    agentObject,
+    isDroped,
+    handleChange,
+    setisDroped,
+    clearAgentFile,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/components/state-provider.tsx b/autogpt_platform/frontend/src/app/(platform)/library/components/state-provider.tsx
new file mode 100644
index 000000000000..20afbc9cd5f6
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/components/state-provider.tsx
@@ -0,0 +1,59 @@
+"use client";
+
+import { LibraryAgentSort } from "@/app/api/__generated__/models/libraryAgentSort";
+import {
+  createContext,
+  useState,
+  ReactNode,
+  useContext,
+  Dispatch,
+  SetStateAction,
+} from "react";
+
+interface LibraryPageContextType {
+  searchTerm: string;
+  setSearchTerm: Dispatch<SetStateAction<string>>;
+  uploadedFile: File | null;
+  setUploadedFile: Dispatch<SetStateAction<File | null>>;
+  librarySort: LibraryAgentSort;
+  setLibrarySort: Dispatch<SetStateAction<LibraryAgentSort>>;
+}
+
+export const LibraryPageContext = createContext<LibraryPageContextType>(
+  {} as LibraryPageContextType,
+);
+
+export function LibraryPageStateProvider({
+  children,
+}: {
+  children: ReactNode;
+}) {
+  const [searchTerm, setSearchTerm] = useState<string>("");
+  const [uploadedFile, setUploadedFile] = useState<File | null>(null);
+  const [librarySort, setLibrarySort] = useState<LibraryAgentSort>(
+    LibraryAgentSort.updatedAt,
+  );
+
+  return (
+    <LibraryPageContext.Provider
+      value={{
+        searchTerm,
+        setSearchTerm,
+        uploadedFile,
+        setUploadedFile,
+        librarySort,
+        setLibrarySort,
+      }}
+    >
+      {children}
+    </LibraryPageContext.Provider>
+  );
+}
+
+export function useLibraryPageContext(): LibraryPageContextType {
+  const context = useContext(LibraryPageContext);
+  if (!context) {
+    throw new Error("Error in context of Library page");
+  }
+  return context;
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/library/page.tsx b/autogpt_platform/frontend/src/app/(platform)/library/page.tsx
new file mode 100644
index 000000000000..6259650951d0
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/library/page.tsx
@@ -0,0 +1,20 @@
+"use client";
+
+import LibraryActionHeader from "./components/LibraryActionHeader/LibraryActionHeader";
+import LibraryAgentList from "./components/LibraryAgentList/LibraryAgentList";
+import { LibraryPageStateProvider } from "./components/state-provider";
+
+/**
+ * LibraryPage Component
+ * Main component that manages the library interface including agent listing and actions
+ */
+export default function LibraryPage() {
+  return (
+    <main className="pt-160 container min-h-screen space-y-4 pb-20 pt-16 sm:px-8 md:px-12">
+      <LibraryPageStateProvider>
+        <LibraryActionHeader />
+        <LibraryAgentList />
+      </LibraryPageStateProvider>
+    </main>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/login/actions.ts b/autogpt_platform/frontend/src/app/(platform)/login/actions.ts
new file mode 100644
index 000000000000..fb53478f0ab6
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/login/actions.ts
@@ -0,0 +1,96 @@
+"use server";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { verifyTurnstileToken } from "@/lib/turnstile";
+import { loginFormSchema, LoginProvider } from "@/types/auth";
+import * as Sentry from "@sentry/nextjs";
+import { revalidatePath } from "next/cache";
+import { redirect } from "next/navigation";
+import { z } from "zod";
+
+async function shouldShowOnboarding() {
+  const api = new BackendAPI();
+  return (
+    (await api.isOnboardingEnabled()) &&
+    !(await api.getUserOnboarding()).completedSteps.includes("CONGRATS")
+  );
+}
+
+export async function login(
+  values: z.infer<typeof loginFormSchema>,
+  turnstileToken: string,
+) {
+  return await Sentry.withServerActionInstrumentation("login", {}, async () => {
+    const supabase = await getServerSupabase();
+    const api = new BackendAPI();
+
+    if (!supabase) {
+      redirect("/error");
+    }
+
+    // Verify Turnstile token if provided
+    const success = await verifyTurnstileToken(turnstileToken, "login");
+    if (!success) {
+      return "CAPTCHA verification failed. Please try again.";
+    }
+
+    // We are sure that the values are of the correct type because zod validates the form
+    const { error } = await supabase.auth.signInWithPassword(values);
+
+    if (error) {
+      return error.message;
+    }
+
+    await api.createUser();
+
+    // Don't onboard if disabled or already onboarded
+    if (await shouldShowOnboarding()) {
+      revalidatePath("/onboarding", "layout");
+      redirect("/onboarding");
+    }
+
+    revalidatePath("/", "layout");
+    redirect("/");
+  });
+}
+
+export async function providerLogin(provider: LoginProvider) {
+  return await Sentry.withServerActionInstrumentation(
+    "providerLogin",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        redirect("/error");
+      }
+
+      const { data, error } = await supabase!.auth.signInWithOAuth({
+        provider: provider,
+        options: {
+          redirectTo:
+            process.env.AUTH_CALLBACK_URL ??
+            `http://localhost:3000/auth/callback`,
+        },
+      });
+
+      if (error) {
+        // FIXME: supabase doesn't return the correct error message for this case
+        if (error.message.includes("P0001")) {
+          return "not_allowed";
+        }
+
+        console.error("Error logging in", error);
+        return error.message;
+      }
+
+      // Redirect to the OAuth provider's URL
+      if (data?.url) {
+        redirect(data.url);
+      }
+
+      // Note: api.createUser() and onboarding check happen in the callback handler
+      // after the session is established. See `auth/callback/route.ts`.
+    },
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/login/components/LoadingLogin.tsx b/autogpt_platform/frontend/src/app/(platform)/login/components/LoadingLogin.tsx
new file mode 100644
index 000000000000..16ab084c2c21
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/login/components/LoadingLogin.tsx
@@ -0,0 +1,34 @@
+import { AuthCard } from "@/components/auth/AuthCard";
+import { Skeleton } from "@/components/ui/skeleton";
+
+export function LoadingLogin() {
+  return (
+    <div className="flex h-full min-h-[85vh] flex-col items-center justify-center">
+      <AuthCard title="">
+        <div className="w-full space-y-6">
+          <Skeleton className="mx-auto h-8 w-48" />
+          <Skeleton className="h-12 w-full rounded-md" />
+          <div className="flex w-full items-center">
+            <Skeleton className="h-px flex-1" />
+            <Skeleton className="mx-3 h-4 w-6" />
+            <Skeleton className="h-px flex-1" />
+          </div>
+          <div className="space-y-2">
+            <Skeleton className="h-4 w-12" />
+            <Skeleton className="h-12 w-full rounded-md" />
+          </div>
+          <div className="space-y-2">
+            <Skeleton className="h-4 w-16" />
+            <Skeleton className="h-12 w-full rounded-md" />
+          </div>
+          <Skeleton className="h-16 w-full rounded-md" />
+          <Skeleton className="h-12 w-full rounded-md" />
+          <div className="flex justify-center space-x-1">
+            <Skeleton className="h-4 w-32" />
+            <Skeleton className="h-4 w-12" />
+          </div>
+        </div>
+      </AuthCard>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/login/page.tsx b/autogpt_platform/frontend/src/app/(platform)/login/page.tsx
new file mode 100644
index 000000000000..b051065d7596
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/login/page.tsx
@@ -0,0 +1,135 @@
+"use client";
+import { Button } from "@/components/atoms/Button/Button";
+import { Input } from "@/components/atoms/Input/Input";
+import { Link } from "@/components/atoms/Link/Link";
+import { AuthCard } from "@/components/auth/AuthCard";
+import AuthFeedback from "@/components/auth/AuthFeedback";
+import { EmailNotAllowedModal } from "@/components/auth/EmailNotAllowedModal";
+import { GoogleOAuthButton } from "@/components/auth/GoogleOAuthButton";
+import Turnstile from "@/components/auth/Turnstile";
+import { Form, FormField } from "@/components/ui/form";
+import { getBehaveAs } from "@/lib/utils";
+import { LoadingLogin } from "./components/LoadingLogin";
+import { useLoginPage } from "./useLoginPage";
+
+export default function LoginPage() {
+  const {
+    form,
+    feedback,
+    turnstile,
+    captchaKey,
+    isLoading,
+    isLoggedIn,
+    isCloudEnv,
+    isUserLoading,
+    isGoogleLoading,
+    showNotAllowedModal,
+    isSupabaseAvailable,
+    handleSubmit,
+    handleProviderLogin,
+    handleCloseNotAllowedModal,
+  } = useLoginPage();
+
+  if (isUserLoading || isLoggedIn) {
+    return <LoadingLogin />;
+  }
+
+  if (!isSupabaseAvailable) {
+    return (
+      <div>
+        User accounts are disabled because Supabase client is unavailable
+      </div>
+    );
+  }
+
+  return (
+    <div className="flex h-full min-h-[85vh] flex-col items-center justify-center py-10">
+      <AuthCard title="Login to your account">
+        <Form {...form}>
+          <form onSubmit={handleSubmit} className="flex w-full flex-col gap-1">
+            <FormField
+              control={form.control}
+              name="email"
+              render={({ field }) => (
+                <Input
+                  id={field.name}
+                  label="Email"
+                  placeholder="m@example.com"
+                  type="email"
+                  autoComplete="username"
+                  className="w-full"
+                  error={form.formState.errors.email?.message}
+                  {...field}
+                />
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="password"
+              render={({ field }) => (
+                <Input
+                  id={field.name}
+                  label="Password"
+                  placeholder="•••••••••••••••••••••"
+                  type="password"
+                  autoComplete="current-password"
+                  error={form.formState.errors.password?.message}
+                  hint={
+                    <Link variant="secondary" href="/reset-password">
+                      Forgot password?
+                    </Link>
+                  }
+                  {...field}
+                />
+              )}
+            />
+
+            {/* Turnstile CAPTCHA Component */}
+            {isCloudEnv && !turnstile.verified ? (
+              <Turnstile
+                key={captchaKey}
+                siteKey={turnstile.siteKey}
+                onVerify={turnstile.handleVerify}
+                onExpire={turnstile.handleExpire}
+                onError={turnstile.handleError}
+                setWidgetId={turnstile.setWidgetId}
+                action="login"
+                shouldRender={turnstile.shouldRender}
+              />
+            ) : null}
+
+            <Button
+              variant="primary"
+              loading={isLoading}
+              type="submit"
+              className="mt-6 w-full"
+            >
+              {isLoading ? "Logging in..." : "Login"}
+            </Button>
+          </form>
+          {isCloudEnv ? (
+            <GoogleOAuthButton
+              onClick={() => handleProviderLogin("google")}
+              isLoading={isGoogleLoading}
+              disabled={isLoading}
+            />
+          ) : null}
+          <AuthFeedback
+            type="login"
+            message={feedback}
+            isError={!!feedback}
+            behaveAs={getBehaveAs()}
+          />
+        </Form>
+        <AuthCard.BottomText
+          text="Don't have an account?"
+          link={{ text: "Sign up", href: "/signup" }}
+        />
+      </AuthCard>
+      <EmailNotAllowedModal
+        isOpen={showNotAllowedModal}
+        onClose={handleCloseNotAllowedModal}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/login/useLoginPage.ts b/autogpt_platform/frontend/src/app/(platform)/login/useLoginPage.ts
new file mode 100644
index 000000000000..fab9a89d5f62
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/login/useLoginPage.ts
@@ -0,0 +1,135 @@
+import { useTurnstile } from "@/hooks/useTurnstile";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { BehaveAs, getBehaveAs } from "@/lib/utils";
+import { loginFormSchema, LoginProvider } from "@/types/auth";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useRouter } from "next/navigation";
+import { useCallback, useEffect, useState } from "react";
+import { useForm } from "react-hook-form";
+import z from "zod";
+import { login, providerLogin } from "./actions";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+
+export function useLoginPage() {
+  const { supabase, user, isUserLoading } = useSupabase();
+  const [feedback, setFeedback] = useState<string | null>(null);
+  const [captchaKey, setCaptchaKey] = useState(0);
+  const router = useRouter();
+  const { toast } = useToast();
+  const [isLoading, setIsLoading] = useState(false);
+  const [isGoogleLoading, setIsGoogleLoading] = useState(false);
+  const [showNotAllowedModal, setShowNotAllowedModal] = useState(false);
+  const isCloudEnv = getBehaveAs() === BehaveAs.CLOUD;
+  const isVercelPreview = process.env.NEXT_PUBLIC_VERCEL_ENV === "preview";
+
+  const turnstile = useTurnstile({
+    action: "login",
+    autoVerify: false,
+    resetOnError: true,
+  });
+
+  const form = useForm<z.infer<typeof loginFormSchema>>({
+    resolver: zodResolver(loginFormSchema),
+    defaultValues: {
+      email: "",
+      password: "",
+    },
+  });
+
+  const resetCaptcha = useCallback(() => {
+    setCaptchaKey((k) => k + 1);
+    turnstile.reset();
+  }, [turnstile]);
+
+  useEffect(() => {
+    if (user) router.push("/");
+  }, [user]);
+
+  async function handleProviderLogin(provider: LoginProvider) {
+    setIsGoogleLoading(true);
+
+    if (isCloudEnv && !turnstile.verified && !isVercelPreview) {
+      toast({
+        title: "Please complete the CAPTCHA challenge.",
+        variant: "info",
+      });
+
+      setIsGoogleLoading(false);
+      resetCaptcha();
+      return;
+    }
+
+    try {
+      const error = await providerLogin(provider);
+      if (error) throw error;
+      setFeedback(null);
+    } catch (error) {
+      resetCaptcha();
+      setIsGoogleLoading(false);
+      const errorString = JSON.stringify(error);
+      if (errorString.includes("not_allowed")) {
+        setShowNotAllowedModal(true);
+      } else {
+        setFeedback(errorString);
+      }
+    }
+  }
+
+  async function handleLogin(data: z.infer<typeof loginFormSchema>) {
+    setIsLoading(true);
+    if (isCloudEnv && !turnstile.verified && !isVercelPreview) {
+      toast({
+        title: "Please complete the CAPTCHA challenge.",
+        variant: "info",
+      });
+
+      setIsLoading(false);
+      resetCaptcha();
+      return;
+    }
+
+    if (data.email.includes("@agpt.co")) {
+      toast({
+        title: "Please use Google SSO to login using an AutoGPT email.",
+        variant: "default",
+      });
+
+      setIsLoading(false);
+      resetCaptcha();
+      return;
+    }
+
+    const error = await login(data, turnstile.token as string);
+    await supabase?.auth.refreshSession();
+    setIsLoading(false);
+    if (error) {
+      toast({
+        title: error,
+        variant: "destructive",
+      });
+
+      resetCaptcha();
+      // Always reset the turnstile on any error
+      turnstile.reset();
+      return;
+    }
+    setFeedback(null);
+  }
+
+  return {
+    form,
+    feedback,
+    turnstile,
+    captchaKey,
+    isLoggedIn: !!user,
+    isLoading,
+    isCloudEnv,
+    isUserLoading,
+    isGoogleLoading,
+    showNotAllowedModal,
+    isSupabaseAvailable: !!supabase,
+    handleSubmit: form.handleSubmit(handleLogin),
+    handleProviderLogin,
+    handleCloseNotAllowedModal: () => setShowNotAllowedModal(false),
+  };
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/agent/[creator]/[slug]/page.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/agent/[creator]/[slug]/page.tsx
new file mode 100644
index 000000000000..224d50994965
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/agent/[creator]/[slug]/page.tsx
@@ -0,0 +1,124 @@
+import BackendAPI from "@/lib/autogpt-server-api";
+import { Breadcrumbs } from "@/components/molecules/Breadcrumbs/Breadcrumbs";
+import { AgentInfo } from "@/components/agptui/AgentInfo";
+import { AgentImages } from "@/components/agptui/AgentImages";
+import { AgentsSection } from "@/components/agptui/composite/AgentsSection";
+import { BecomeACreator } from "@/components/agptui/BecomeACreator";
+import { Separator } from "@/components/ui/separator";
+import { Metadata } from "next";
+import { getServerUser } from "@/lib/supabase/server/getServerUser";
+
+// Force dynamic rendering to avoid static generation issues with cookies
+export const dynamic = "force-dynamic";
+
+type MarketplaceAgentPageParams = { creator: string; slug: string };
+
+export async function generateMetadata({
+  params: _params,
+}: {
+  params: Promise<MarketplaceAgentPageParams>;
+}): Promise<Metadata> {
+  const api = new BackendAPI();
+  const params = await _params;
+  const agent = await api.getStoreAgent(params.creator, params.slug);
+
+  return {
+    title: `${agent.agent_name} - AutoGPT Marketplace`,
+    description: agent.description,
+  };
+}
+
+// export async function generateStaticParams() {
+//   const api = new BackendAPI();
+//   const agents = await api.getStoreAgents({ featured: true });
+//   return agents.agents.map((agent) => ({
+//     creator: agent.creator,
+//     slug: agent.slug,
+//   }));
+// }
+
+export default async function MarketplaceAgentPage({
+  params: _params,
+}: {
+  params: Promise<MarketplaceAgentPageParams>;
+}) {
+  const params = await _params;
+  const creator_lower = params.creator.toLowerCase();
+  const { user } = await getServerUser();
+  const api = new BackendAPI();
+  const agent = await api.getStoreAgent(creator_lower, params.slug);
+  const otherAgents = await api.getStoreAgents({ creator: creator_lower });
+  const similarAgents = await api.getStoreAgents({
+    // We are using slug as we know its has been sanitized and is not null
+    search_query: agent.slug.replace(/-/g, " "),
+  });
+  const libraryAgent = user
+    ? await api
+        .getLibraryAgentByStoreListingVersionID(agent.active_version_id || "")
+        .catch((error) => {
+          console.error("Failed to fetch library agent:", error);
+          return null;
+        })
+    : null;
+
+  const breadcrumbs = [
+    { name: "Marketplace", link: "/marketplace" },
+    {
+      name: agent.creator,
+      link: `/marketplace/creator/${encodeURIComponent(agent.creator)}`,
+    },
+    { name: agent.agent_name, link: "#" },
+  ];
+
+  return (
+    <div className="mx-auto w-screen max-w-[1360px]">
+      <main className="mt-5 px-4">
+        <Breadcrumbs items={breadcrumbs} />
+
+        <div className="mt-4 flex flex-col items-start gap-4 sm:mt-6 sm:gap-6 md:mt-8 md:flex-row md:gap-8">
+          <div className="w-full md:w-auto md:shrink-0">
+            <AgentInfo
+              user={user}
+              name={agent.agent_name}
+              creator={agent.creator}
+              shortDescription={agent.sub_heading}
+              longDescription={agent.description}
+              rating={agent.rating}
+              runs={agent.runs}
+              categories={agent.categories}
+              lastUpdated={agent.updated_at}
+              version={agent.versions[agent.versions.length - 1]}
+              storeListingVersionId={agent.store_listing_version_id}
+              libraryAgent={libraryAgent}
+            />
+          </div>
+          <AgentImages
+            images={
+              agent.agent_video
+                ? [agent.agent_video, ...agent.agent_image]
+                : agent.agent_image
+            }
+          />
+        </div>
+        <Separator className="mb-[25px] mt-[60px]" />
+        <AgentsSection
+          margin="32px"
+          agents={otherAgents.agents}
+          sectionTitle={`Other agents by ${agent.creator}`}
+        />
+        <Separator className="mb-[25px] mt-[60px]" />
+        <AgentsSection
+          margin="32px"
+          agents={similarAgents.agents}
+          sectionTitle="Similar agents"
+        />
+        <Separator className="mb-[25px] mt-[60px]" />
+        <BecomeACreator
+          title="Become a Creator"
+          description="Join our ever-growing community of hackers and tinkerers"
+          buttonText="Become a Creator"
+        />
+      </main>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/AgentsSection/AgentsSection.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/AgentsSection/AgentsSection.tsx
new file mode 100644
index 000000000000..48c6a7510fbf
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/AgentsSection/AgentsSection.tsx
@@ -0,0 +1,103 @@
+"use client";
+
+import {
+  Carousel,
+  CarouselContent,
+  CarouselItem,
+} from "@/components/ui/carousel";
+import { useAgentsSection } from "./useAgentsSection";
+import { StoreAgent } from "@/app/api/__generated__/models/storeAgent";
+import { StoreCard } from "../StoreCard/StoreCard";
+
+export interface Agent {
+  slug: string;
+  agent_name: string;
+  agent_image: string;
+  creator: string;
+  creator_avatar: string;
+  sub_heading: string;
+  description: string;
+  runs: number;
+  rating: number;
+}
+
+interface AgentsSectionProps {
+  sectionTitle: string;
+  agents: StoreAgent[];
+  hideAvatars?: boolean;
+  margin?: string;
+}
+
+export const AgentsSection = ({
+  sectionTitle,
+  agents: allAgents,
+  hideAvatars = false,
+  margin = "24px",
+}: AgentsSectionProps) => {
+  // TODO: Update this when we have pagination and shifts to useAgentsSection
+  const displayedAgents = allAgents;
+  const { handleCardClick } = useAgentsSection();
+
+  return (
+    <div className="flex flex-col items-center justify-center">
+      <div className="w-full max-w-[1360px]">
+        <h2
+          style={{ marginBottom: margin }}
+          className="font-poppins text-lg font-semibold text-[#282828] dark:text-neutral-200"
+        >
+          {sectionTitle}
+        </h2>
+        {!displayedAgents || displayedAgents.length === 0 ? (
+          <div className="text-center text-gray-500 dark:text-gray-400">
+            No agents found
+          </div>
+        ) : (
+          <>
+            {/* Mobile Carousel View */}
+            <Carousel
+              className="md:hidden"
+              opts={{
+                loop: true,
+              }}
+            >
+              <CarouselContent>
+                {displayedAgents.map((agent, index) => (
+                  <CarouselItem key={index} className="min-w-64 max-w-71">
+                    <StoreCard
+                      agentName={agent.agent_name}
+                      agentImage={agent.agent_image}
+                      description={agent.description}
+                      runs={agent.runs}
+                      rating={agent.rating}
+                      avatarSrc={agent.creator_avatar}
+                      creatorName={agent.creator}
+                      hideAvatar={hideAvatars}
+                      onClick={() => handleCardClick(agent.creator, agent.slug)}
+                    />
+                  </CarouselItem>
+                ))}
+              </CarouselContent>
+            </Carousel>
+
+            <div className="hidden grid-cols-1 place-items-center gap-6 md:grid md:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4">
+              {displayedAgents.map((agent, index) => (
+                <StoreCard
+                  key={index}
+                  agentName={agent.agent_name}
+                  agentImage={agent.agent_image}
+                  description={agent.description}
+                  runs={agent.runs}
+                  rating={agent.rating}
+                  avatarSrc={agent.creator_avatar}
+                  creatorName={agent.creator}
+                  hideAvatar={hideAvatars}
+                  onClick={() => handleCardClick(agent.creator, agent.slug)}
+                />
+              ))}
+            </div>
+          </>
+        )}
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/AgentsSection/useAgentsSection.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/AgentsSection/useAgentsSection.ts
new file mode 100644
index 000000000000..7365581cdd80
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/AgentsSection/useAgentsSection.ts
@@ -0,0 +1,14 @@
+import { useRouter } from "next/navigation";
+
+// FRONTEND-TODO : Need to add more logic for pagination in future
+export const useAgentsSection = () => {
+  const router = useRouter();
+
+  const handleCardClick = (creator: string, slug: string) => {
+    router.push(
+      `/marketplace/agent/${encodeURIComponent(creator)}/${encodeURIComponent(slug)}`,
+    );
+  };
+
+  return { handleCardClick };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/BecomeACreator/BecomeACreator.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/BecomeACreator/BecomeACreator.tsx
new file mode 100644
index 000000000000..a5b6fb9db162
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/BecomeACreator/BecomeACreator.tsx
@@ -0,0 +1,51 @@
+"use client";
+
+import { PublishAgentModal } from "@/components/contextual/PublishAgentModal/PublishAgentModal";
+import * as React from "react";
+
+interface BecomeACreatorProps {
+  title?: string;
+  description?: string;
+  buttonText?: string;
+}
+
+export function BecomeACreator({
+  title = "Become a creator",
+  description = "Join a community where your AI creations can inspire, engage, and be downloaded by users around the world.",
+  buttonText = "Upload your agent",
+}: BecomeACreatorProps) {
+  return (
+    <div className="relative mx-auto h-auto min-h-[300px] w-full max-w-[1360px] md:min-h-[400px] lg:h-[459px]">
+      {/* Title */}
+      <h2 className="mb-[77px] font-poppins text-[18px] font-semibold leading-[28px] text-neutral-800 dark:text-neutral-200">
+        {title}
+      </h2>
+
+      {/* Content Container */}
+      <div className="mx-auto w-full max-w-[900px] px-4 text-center md:px-6 lg:px-0">
+        <h2 className="mb-6 text-center font-poppins text-[48px] font-semibold leading-[54px] tracking-[-0.012em] text-neutral-950 dark:text-neutral-50 md:mb-8 lg:mb-12">
+          Build AI agents and share
+          <br />
+          <span className="text-violet-600 dark:text-violet-400">
+            your
+          </span>{" "}
+          vision
+        </h2>
+
+        <p className="mx-auto mb-8 max-w-[90%] text-lg font-normal leading-relaxed text-neutral-700 dark:text-neutral-300 md:mb-10 md:text-xl md:leading-loose lg:mb-14 lg:text-2xl">
+          {description}
+        </p>
+
+        <PublishAgentModal
+          trigger={
+            <button className="inline-flex h-[48px] cursor-pointer items-center justify-center rounded-[38px] bg-neutral-800 px-8 py-3 transition-colors hover:bg-neutral-700 dark:bg-neutral-700 dark:hover:bg-neutral-600 md:h-[56px] md:px-10 md:py-4 lg:h-[68px] lg:px-12 lg:py-5">
+              <span className="whitespace-nowrap font-poppins text-base font-medium leading-normal text-neutral-50 md:text-lg md:leading-relaxed lg:text-xl lg:leading-7">
+                {buttonText}
+              </span>
+            </button>
+          }
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorCard/CreatorCard.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorCard/CreatorCard.tsx
new file mode 100644
index 000000000000..88912f17cb6c
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorCard/CreatorCard.tsx
@@ -0,0 +1,57 @@
+import Image from "next/image";
+import { backgroundColor } from "./helper";
+
+interface CreatorCardProps {
+  creatorName: string;
+  creatorImage: string;
+  bio: string;
+  agentsUploaded: number;
+  onClick: () => void;
+  index: number;
+}
+
+export const CreatorCard = ({
+  creatorName,
+  creatorImage,
+  bio,
+  agentsUploaded,
+  onClick,
+  index,
+}: CreatorCardProps) => {
+  return (
+    <div
+      className={`h-[264px] w-full px-[18px] pb-5 pt-6 ${backgroundColor(index)} inline-flex cursor-pointer flex-col items-start justify-start gap-3.5 rounded-[26px] transition-all duration-200 hover:brightness-95`}
+      onClick={onClick}
+      data-testid="creator-card"
+    >
+      <div className="relative h-[64px] w-[64px]">
+        <div className="absolute inset-0 overflow-hidden rounded-full">
+          {creatorImage ? (
+            <Image
+              src={creatorImage}
+              alt={creatorName}
+              width={64}
+              height={64}
+              className="h-full w-full object-cover"
+              priority
+            />
+          ) : (
+            <div className="h-full w-full bg-neutral-300 dark:bg-neutral-600" />
+          )}
+        </div>
+      </div>
+
+      <div className="flex flex-col gap-2">
+        <h3 className="font-poppins text-2xl font-semibold leading-tight text-neutral-900 dark:text-neutral-100">
+          {creatorName}
+        </h3>
+        <p className="text-sm font-normal leading-normal text-neutral-600 dark:text-neutral-400">
+          {bio}
+        </p>
+        <div className="text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+          {agentsUploaded} agents
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorCard/helper.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorCard/helper.ts
new file mode 100644
index 000000000000..14192e32996b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorCard/helper.ts
@@ -0,0 +1,8 @@
+const BACKGROUND_COLORS = [
+  "bg-amber-100 dark:bg-amber-800", // #fef3c7 / #92400e
+  "bg-violet-100 dark:bg-violet-800", // #ede9fe / #5b21b6
+  "bg-green-100 dark:bg-green-800", // #dcfce7 / #065f46
+  "bg-blue-100 dark:bg-blue-800", // #dbeafe / #1e3a8a
+];
+export const backgroundColor = (index: number) =>
+  BACKGROUND_COLORS[index % BACKGROUND_COLORS.length];
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorInfoCard/CreatorInfoCard.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorInfoCard/CreatorInfoCard.tsx
new file mode 100644
index 000000000000..84322b5df476
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorInfoCard/CreatorInfoCard.tsx
@@ -0,0 +1,115 @@
+import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
+import { StarRatingIcons } from "@/components/ui/icons";
+
+interface CreatorInfoCardProps {
+  username: string;
+  handle: string;
+  avatarSrc: string;
+  categories: string[];
+  averageRating: number;
+  totalRuns: number;
+}
+
+export const CreatorInfoCard = ({
+  username,
+  handle,
+  avatarSrc,
+  categories,
+  averageRating,
+  totalRuns,
+}: CreatorInfoCardProps) => {
+  return (
+    <div
+      className="inline-flex h-auto min-h-[500px] w-full max-w-[440px] flex-col items-start justify-between rounded-[26px] bg-violet-100 p-4 dark:bg-violet-900 sm:h-[632px] sm:w-[440px] sm:p-6"
+      role="article"
+      aria-label={`Creator profile for ${username}`}
+    >
+      <div className="flex w-full flex-col items-start justify-start gap-3.5 sm:h-[218px]">
+        <Avatar className="h-[100px] w-[100px] sm:h-[130px] sm:w-[130px]">
+          <AvatarImage
+            width={130}
+            height={130}
+            src={avatarSrc}
+            alt={`${username}'s avatar`}
+          />
+          <AvatarFallback
+            size={130}
+            className="h-[100px] w-[100px] sm:h-[130px] sm:w-[130px]"
+          >
+            {username.charAt(0)}
+          </AvatarFallback>
+        </Avatar>
+        <div className="flex w-full flex-col items-start justify-start gap-1.5">
+          <div
+            data-testid="creator-title"
+            className="w-full font-poppins text-[35px] font-medium leading-10 text-neutral-900 dark:text-neutral-100 sm:text-[35px] sm:leading-10"
+          >
+            {username}
+          </div>
+          <div className="w-full text-lg font-normal leading-6 text-neutral-800 dark:text-neutral-200 sm:text-xl sm:leading-7">
+            @{handle}
+          </div>
+        </div>
+      </div>
+
+      <div className="my-4 flex w-full flex-col items-start justify-start gap-6 sm:gap-[50px]">
+        <div className="flex w-full flex-col items-start justify-start gap-3">
+          <div className="h-px w-full bg-neutral-700 dark:bg-neutral-300" />
+          <div className="flex flex-col items-start justify-start gap-2.5">
+            <div className="w-full text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+              Top categories
+            </div>
+            <div
+              className="flex flex-wrap items-center gap-2.5"
+              role="list"
+              aria-label="Categories"
+            >
+              {categories.map((category, index) => (
+                <div
+                  key={index}
+                  className="flex items-center justify-center gap-2.5 rounded-[34px] border border-neutral-600 px-4 py-3 dark:border-neutral-400"
+                  role="listitem"
+                >
+                  <div className="text-base font-normal leading-normal text-neutral-800 dark:text-neutral-200">
+                    {category}
+                  </div>
+                </div>
+              ))}
+            </div>
+          </div>
+        </div>
+
+        <div className="flex w-full flex-col items-start justify-start gap-3">
+          <div className="h-px w-full bg-neutral-700 dark:bg-neutral-300" />
+          <div className="flex w-full flex-col items-start justify-between gap-4 sm:flex-row sm:gap-0">
+            <div className="flex w-full flex-col items-start justify-start gap-2.5 sm:w-[164px]">
+              <div className="w-full text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+                Average rating
+              </div>
+              <div className="inline-flex items-center gap-2">
+                <div className="text-[18px] font-semibold leading-[28px] text-neutral-800 dark:text-neutral-200">
+                  {averageRating.toFixed(1)}
+                </div>
+                <div
+                  className="flex items-center gap-px"
+                  role="img"
+                  aria-label={`Rating: ${averageRating} out of 5 stars`}
+                >
+                  {StarRatingIcons(averageRating)}
+                </div>
+              </div>
+            </div>
+            <div className="flex w-full flex-col items-start justify-start gap-2.5 sm:w-[164px]">
+              <div className="w-full text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+                Number of runs
+              </div>
+              <div className="text-[18px] font-semibold leading-[28px] text-neutral-800 dark:text-neutral-200">
+                {new Intl.NumberFormat().format(totalRuns)} runs
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorLinks/CreatorLinks.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorLinks/CreatorLinks.tsx
new file mode 100644
index 000000000000..896592fc693a
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorLinks/CreatorLinks.tsx
@@ -0,0 +1,43 @@
+import { getIconForSocial } from "@/components/ui/icons";
+import { Fragment } from "react";
+
+interface CreatorLinksProps {
+  links: string[];
+}
+
+export const CreatorLinks = ({ links }: CreatorLinksProps) => {
+  if (!links || links.length === 0) {
+    return null;
+  }
+
+  const renderLinkButton = (url: string) => (
+    <a
+      href={url}
+      target="_blank"
+      rel="noopener noreferrer"
+      className="flex min-w-[200px] flex-1 items-center justify-between rounded-[34px] border border-neutral-600 px-5 py-3 dark:border-neutral-400"
+    >
+      <div className="text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+        {new URL(url).hostname.replace("www.", "")}
+      </div>
+      <div className="relative h-6 w-6">
+        {getIconForSocial(url, {
+          className: "h-6 w-6 text-neutral-800 dark:text-neutral-200",
+        })}
+      </div>
+    </a>
+  );
+
+  return (
+    <div className="flex flex-col items-start justify-start gap-4">
+      <div className="text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+        Other links
+      </div>
+      <div className="flex w-full flex-wrap gap-3">
+        {links.map((link, index) => (
+          <Fragment key={index}>{renderLinkButton(link)}</Fragment>
+        ))}
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorPageLoading.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorPageLoading.tsx
new file mode 100644
index 000000000000..7aee9e7b0d04
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/CreatorPageLoading.tsx
@@ -0,0 +1,40 @@
+import { Skeleton } from "@/components/ui/skeleton";
+
+export const CreatorPageLoading = () => {
+  return (
+    <div className="mx-auto w-screen max-w-[1360px]">
+      <main className="mt-5 px-4">
+        <Skeleton className="mb-4 h-6 w-40" />
+
+        <div className="mt-4 flex flex-col items-start gap-4 sm:mt-6 sm:gap-6 md:mt-8 md:flex-row md:gap-8">
+          <div className="w-full md:w-auto md:shrink-0">
+            <Skeleton className="h-80 w-80 rounded-xl" />
+            <div className="mt-4 space-y-2">
+              <Skeleton className="h-6 w-80" />
+              <Skeleton className="h-4 w-80" />
+            </div>
+          </div>
+
+          <div className="flex min-w-0 flex-1 flex-col gap-4">
+            <Skeleton className="h-6 w-24" />
+            <Skeleton className="h-8 w-full max-w-xl" />
+            <Skeleton className="h-4 w-1/2" />
+            <div className="flex gap-2">
+              <Skeleton className="h-8 w-8 rounded-full" />
+              <Skeleton className="h-8 w-8 rounded-full" />
+            </div>
+          </div>
+        </div>
+
+        <div className="mt-8">
+          <Skeleton className="mb-6 h-px w-full" />
+          <div className="grid grid-cols-1 gap-6 sm:grid-cols-2 md:grid-cols-3">
+            {Array.from({ length: 3 }).map((_, i) => (
+              <Skeleton key={i} className="h-32 w-full rounded-lg" />
+            ))}
+          </div>
+        </div>
+      </main>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedAgentCard/FeaturedAgentCard.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedAgentCard/FeaturedAgentCard.tsx
new file mode 100644
index 000000000000..cef53dfdd9d7
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedAgentCard/FeaturedAgentCard.tsx
@@ -0,0 +1,74 @@
+import Image from "next/image";
+import { StarRatingIcons } from "@/components/ui/icons";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "@/components/ui/card";
+import { useState } from "react";
+import { StoreAgent } from "@/app/api/__generated__/models/storeAgent";
+
+interface FeaturedStoreCardProps {
+  agent: StoreAgent;
+  backgroundColor: string;
+}
+
+export const FeaturedAgentCard = ({
+  agent,
+  backgroundColor,
+}: FeaturedStoreCardProps) => {
+  // TODO: Need to use group for hover
+  const [isHovered, setIsHovered] = useState(false);
+
+  return (
+    <Card
+      data-testid="featured-store-card"
+      onMouseEnter={() => setIsHovered(true)}
+      onMouseLeave={() => setIsHovered(false)}
+      className={`flex h-full flex-col ${backgroundColor} rounded-[1.5rem] border-none`}
+    >
+      <CardHeader>
+        <CardTitle className="line-clamp-2 text-base sm:text-xl">
+          {agent.agent_name}
+        </CardTitle>
+        <CardDescription className="text-sm">
+          By {agent.creator}
+        </CardDescription>
+      </CardHeader>
+      <CardContent className="flex-1 p-4">
+        <div className="relative aspect-[4/3] w-full overflow-hidden rounded-xl">
+          <Image
+            src={agent.agent_image || "/autogpt-logo-dark-bg.png"}
+            alt={`${agent.agent_name} preview`}
+            fill
+            sizes="100%"
+            className={`object-cover transition-opacity duration-200 ${
+              isHovered ? "opacity-0" : "opacity-100"
+            }`}
+          />
+          <div
+            className={`absolute inset-0 overflow-y-auto p-4 transition-opacity duration-200 ${
+              isHovered ? "opacity-100" : "opacity-0"
+            }`}
+          >
+            <CardDescription className="line-clamp-[6] text-xs sm:line-clamp-[8] sm:text-sm">
+              {agent.description}
+            </CardDescription>
+          </div>
+        </div>
+      </CardContent>
+      <CardFooter className="flex items-center justify-between">
+        <div className="font-semibold">
+          {agent.runs?.toLocaleString() ?? "0"} runs
+        </div>
+        <div className="flex items-center gap-1.5">
+          <p>{agent.rating.toFixed(1) ?? "0.0"}</p>
+          {StarRatingIcons(agent.rating)}
+        </div>
+      </CardFooter>
+    </Card>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedCreators/FeaturedCreators.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedCreators/FeaturedCreators.tsx
new file mode 100644
index 000000000000..ddb3e1a50d7c
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedCreators/FeaturedCreators.tsx
@@ -0,0 +1,42 @@
+"use client";
+
+import { CreatorCard } from "../CreatorCard/CreatorCard";
+import { useFeaturedCreators } from "./useFeaturedCreators";
+import { Creator } from "@/app/api/__generated__/models/creator";
+
+interface FeaturedCreatorsProps {
+  title?: string;
+  featuredCreators: Creator[];
+}
+
+export const FeaturedCreators = ({
+  featuredCreators,
+  title = "Featured Creators",
+}: FeaturedCreatorsProps) => {
+  const { handleCardClick, displayedCreators } = useFeaturedCreators({
+    featuredCreators,
+  });
+  return (
+    <div className="flex w-full flex-col items-center justify-center">
+      <div className="w-full max-w-[1360px]">
+        <h2 className="mb-9 font-poppins text-lg font-semibold text-neutral-800 dark:text-neutral-200">
+          {title}
+        </h2>
+
+        <div className="grid grid-cols-1 gap-6 md:grid-cols-2 lg:grid-cols-4">
+          {displayedCreators.map((creator, index) => (
+            <CreatorCard
+              key={index}
+              creatorName={creator.name || creator.username}
+              creatorImage={creator.avatar_url}
+              bio={creator.description}
+              agentsUploaded={creator.num_agents}
+              onClick={() => handleCardClick(creator.username)}
+              index={index}
+            />
+          ))}
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedCreators/useFeaturedCreators.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedCreators/useFeaturedCreators.ts
new file mode 100644
index 000000000000..80e2aa983209
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedCreators/useFeaturedCreators.ts
@@ -0,0 +1,23 @@
+import { Creator } from "@/app/api/__generated__/models/creator";
+import { useRouter } from "next/navigation";
+
+interface useFeaturedCreatorsProps {
+  featuredCreators: Creator[];
+}
+
+export const useFeaturedCreators = ({
+  featuredCreators,
+}: useFeaturedCreatorsProps) => {
+  const router = useRouter();
+
+  const handleCardClick = (creator: string) => {
+    router.push(`/marketplace/creator/${encodeURIComponent(creator)}`);
+  };
+
+  const displayedCreators = featuredCreators.slice(0, 4);
+
+  return {
+    handleCardClick,
+    displayedCreators,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/FeaturedSection.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/FeaturedSection.tsx
new file mode 100644
index 000000000000..13ab762d4abb
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/FeaturedSection.tsx
@@ -0,0 +1,64 @@
+"use client";
+
+import {
+  Carousel,
+  CarouselContent,
+  CarouselItem,
+  CarouselPrevious,
+  CarouselNext,
+  CarouselIndicator,
+} from "@/components/ui/carousel";
+import Link from "next/link";
+import { useFeaturedSection } from "./useFeaturedSection";
+import { StoreAgent } from "@/app/api/__generated__/models/storeAgent";
+import { getBackgroundColor } from "./helper";
+import { FeaturedAgentCard } from "../FeaturedAgentCard/FeaturedAgentCard";
+
+interface FeaturedSectionProps {
+  featuredAgents: StoreAgent[];
+}
+
+export const FeaturedSection = ({ featuredAgents }: FeaturedSectionProps) => {
+  const { handleNextSlide, handlePrevSlide } = useFeaturedSection({
+    featuredAgents,
+  });
+
+  return (
+    <section className="w-full">
+      <h2 className="mb-8 font-poppins text-2xl font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+        Featured agents
+      </h2>
+
+      <Carousel
+        opts={{
+          align: "center",
+          containScroll: "trimSnaps",
+        }}
+      >
+        <CarouselContent>
+          {featuredAgents.map((agent, index) => (
+            <CarouselItem
+              key={index}
+              className="h-[480px] md:basis-1/2 lg:basis-1/3"
+            >
+              <Link
+                href={`/marketplace/agent/${encodeURIComponent(agent.creator)}/${encodeURIComponent(agent.slug)}`}
+                className="block h-full"
+              >
+                <FeaturedAgentCard
+                  agent={agent}
+                  backgroundColor={getBackgroundColor(index)}
+                />
+              </Link>
+            </CarouselItem>
+          ))}
+        </CarouselContent>
+        <div className="relative mt-4">
+          <CarouselIndicator />
+          <CarouselPrevious afterClick={handlePrevSlide} />
+          <CarouselNext afterClick={handleNextSlide} />
+        </div>
+      </Carousel>
+    </section>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/helper.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/helper.ts
new file mode 100644
index 000000000000..ed8dccc6cd9d
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/helper.ts
@@ -0,0 +1,9 @@
+const BACKGROUND_COLORS = [
+  "bg-violet-200 dark:bg-violet-800", // #ddd6fe / #5b21b6
+  "bg-blue-200 dark:bg-blue-800", // #bfdbfe / #1e3a8a
+  "bg-green-200 dark:bg-green-800", // #bbf7d0 / #065f46
+];
+
+export const getBackgroundColor = (index: number) => {
+  return BACKGROUND_COLORS[index % BACKGROUND_COLORS.length];
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/useFeaturedSection.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/useFeaturedSection.ts
new file mode 100644
index 000000000000..27f5acde268f
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FeaturedSection/useFeaturedSection.ts
@@ -0,0 +1,29 @@
+import { useState } from "react";
+import { StoreAgent } from "@/app/api/__generated__/models/storeAgent";
+
+interface useFeaturedSectionProps {
+  featuredAgents: StoreAgent[];
+}
+
+export const useFeaturedSection = ({
+  featuredAgents,
+}: useFeaturedSectionProps) => {
+  const [_, setCurrentSlide] = useState(0);
+
+  const handlePrevSlide = () => {
+    setCurrentSlide((prev) =>
+      prev === 0 ? featuredAgents.length - 1 : prev - 1,
+    );
+  };
+
+  const handleNextSlide = () => {
+    setCurrentSlide((prev) =>
+      prev === featuredAgents.length - 1 ? 0 : prev + 1,
+    );
+  };
+
+  return {
+    handleNextSlide,
+    handlePrevSlide,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FilterChips/FilterChips.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FilterChips/FilterChips.tsx
new file mode 100644
index 000000000000..c4363a1fc195
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FilterChips/FilterChips.tsx
@@ -0,0 +1,40 @@
+"use client";
+
+import { Badge } from "@/components/ui/badge";
+import { useFilterChips } from "./useFilterChips";
+
+interface FilterChipsProps {
+  badges: string[];
+  onFilterChange?: (selectedFilters: string[]) => void;
+  multiSelect?: boolean;
+}
+
+// Some flaws in its logic
+// FRONTEND-TODO : This needs to be fixed
+export const FilterChips = ({
+  badges,
+  onFilterChange,
+  multiSelect = true,
+}: FilterChipsProps) => {
+  const { selectedFilters, handleBadgeClick } = useFilterChips({
+    multiSelect,
+    onFilterChange,
+  });
+
+  return (
+    <div className="flex h-auto min-h-8 flex-wrap items-center justify-center gap-3 lg:min-h-14 lg:justify-start lg:gap-5">
+      {badges.map((badge) => (
+        <Badge
+          key={badge}
+          variant={selectedFilters.includes(badge) ? "secondary" : "outline"}
+          className="mb-2 flex cursor-pointer items-center justify-center gap-2 rounded-full border border-black/50 px-3 py-1 dark:border-white/50 lg:mb-3 lg:gap-2.5 lg:px-6 lg:py-2"
+          onClick={() => handleBadgeClick(badge)}
+        >
+          <div className="text-sm font-light tracking-tight text-[#474747] dark:text-[#e0e0e0] lg:text-xl lg:font-medium lg:leading-9">
+            {badge}
+          </div>
+        </Badge>
+      ))}
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FilterChips/useFilterChips.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FilterChips/useFilterChips.ts
new file mode 100644
index 000000000000..947f2f878126
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/FilterChips/useFilterChips.ts
@@ -0,0 +1,37 @@
+import { useState } from "react";
+
+interface useFilterChipsProps {
+  onFilterChange?: (selectedFilters: string[]) => void;
+  multiSelect?: boolean;
+}
+
+export const useFilterChips = ({
+  onFilterChange,
+  multiSelect,
+}: useFilterChipsProps) => {
+  const [selectedFilters, setSelectedFilters] = useState<string[]>([]);
+
+  const handleBadgeClick = (badge: string) => {
+    setSelectedFilters((prevFilters) => {
+      let newFilters;
+      if (multiSelect) {
+        newFilters = prevFilters.includes(badge)
+          ? prevFilters.filter((filter) => filter !== badge)
+          : [...prevFilters, badge];
+      } else {
+        newFilters = prevFilters.includes(badge) ? [] : [badge];
+      }
+
+      if (onFilterChange) {
+        onFilterChange(newFilters);
+      }
+
+      return newFilters;
+    });
+  };
+
+  return {
+    selectedFilters,
+    handleBadgeClick,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/HeroSection/HeroSection.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/HeroSection/HeroSection.tsx
new file mode 100644
index 000000000000..f5551c8ecec0
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/HeroSection/HeroSection.tsx
@@ -0,0 +1,53 @@
+"use client";
+
+import { FilterChips } from "../FilterChips/FilterChips";
+import { SearchBar } from "../SearchBar/SearchBar";
+import { useHeroSection } from "./useHeroSection";
+
+export const HeroSection = () => {
+  const { onFilterChange } = useHeroSection();
+  return (
+    <div className="mb-2 mt-8 flex flex-col items-center justify-center px-4 sm:mb-4 sm:mt-12 sm:px-6 md:mb-6 md:mt-16 lg:my-24 lg:px-8 xl:my-16">
+      <div className="w-full max-w-3xl lg:max-w-4xl xl:max-w-5xl">
+        <div className="mb-4 text-center md:mb-8">
+          <h1 className="text-center">
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-neutral-950 dark:text-neutral-50">
+              Explore AI agents built for{" "}
+            </span>
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-violet-600">
+              you
+            </span>
+            <br />
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-neutral-950 dark:text-neutral-50">
+              by the{" "}
+            </span>
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-blue-500">
+              community
+            </span>
+          </h1>
+        </div>
+        <h3 className="mb:text-2xl mb-6 text-center font-sans text-xl font-normal leading-loose text-neutral-700 dark:text-neutral-300 md:mb-12">
+          Bringing you AI agents designed by thinkers from around the world
+        </h3>
+        <div className="mb-4 flex justify-center sm:mb-5">
+          <SearchBar height="h-[74px]" />
+        </div>
+        <div>
+          <div className="flex justify-center">
+            <FilterChips
+              badges={[
+                "Marketing",
+                "SEO",
+                "Content Creation",
+                "Automation",
+                "Fun",
+              ]}
+              onFilterChange={onFilterChange}
+              multiSelect={false}
+            />
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/HeroSection/useHeroSection.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/HeroSection/useHeroSection.ts
new file mode 100644
index 000000000000..75d84c51a0aa
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/HeroSection/useHeroSection.ts
@@ -0,0 +1,22 @@
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import { useRouter } from "next/navigation";
+import { useEffect } from "react";
+
+export const useHeroSection = () => {
+  const router = useRouter();
+  const { completeStep } = useOnboarding();
+
+  // Mark marketplace visit task as completed
+  useEffect(() => {
+    completeStep("MARKETPLACE_VISIT");
+  }, [completeStep]);
+
+  function onFilterChange(selectedFilters: string[]) {
+    const encodedTerm = encodeURIComponent(selectedFilters.join(", "));
+    router.push(`/marketplace/search?searchTerm=${encodedTerm}`);
+  }
+
+  return {
+    onFilterChange,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainCreatorPage/MainCreatorPage.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainCreatorPage/MainCreatorPage.tsx
new file mode 100644
index 000000000000..1b1d8a0c31b1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainCreatorPage/MainCreatorPage.tsx
@@ -0,0 +1,90 @@
+"use client";
+
+import { Separator } from "@/components/ui/separator";
+import { AgentsSection } from "../AgentsSection/AgentsSection";
+import { MarketplaceCreatorPageParams } from "../../creator/[creator]/page";
+import { Breadcrumbs } from "@/components/molecules/Breadcrumbs/Breadcrumbs";
+import { CreatorInfoCard } from "../CreatorInfoCard/CreatorInfoCard";
+import { CreatorLinks } from "../CreatorLinks/CreatorLinks";
+import { useMainCreatorPage } from "./useMainCreatorPage";
+import { ErrorCard } from "@/components/molecules/ErrorCard/ErrorCard";
+import { CreatorPageLoading } from "../CreatorPageLoading";
+
+interface MainCreatorPageProps {
+  params: MarketplaceCreatorPageParams;
+}
+
+export const MainCreatorPage = ({ params }: MainCreatorPageProps) => {
+  const { creatorAgents, creator, isLoading, hasError } = useMainCreatorPage({
+    params,
+  });
+
+  if (isLoading) return <CreatorPageLoading />;
+
+  if (hasError) {
+    return (
+      <div className="mx-auto w-screen max-w-[1360px]">
+        <div className="flex min-h-[60vh] items-center justify-center">
+          <ErrorCard
+            isSuccess={false}
+            responseError={{ message: "Failed to load creator data" }}
+            context="creator page"
+            onRetry={() => window.location.reload()}
+            className="w-full max-w-md"
+          />
+        </div>
+      </div>
+    );
+  }
+
+  if (creator)
+    return (
+      <div className="mx-auto w-screen max-w-[1360px]">
+        <main className="mt-5 px-4">
+          <Breadcrumbs
+            items={[
+              { name: "Store", link: "/marketplace" },
+              { name: creator.name, link: "#" },
+            ]}
+          />
+
+          <div className="mt-4 flex flex-col items-start gap-4 sm:mt-6 sm:gap-6 md:mt-8 md:flex-row md:gap-8">
+            <div className="w-full md:w-auto md:shrink-0">
+              <CreatorInfoCard
+                username={creator.name}
+                handle={creator.username}
+                avatarSrc={creator.avatar_url}
+                categories={creator.top_categories}
+                averageRating={creator.agent_rating}
+                totalRuns={creator.agent_runs}
+              />
+            </div>
+            <div className="flex min-w-0 flex-1 flex-col gap-4 sm:gap-6 md:gap-8">
+              <p className="text-underline-position-from-font text-decoration-skip-none text-left font-poppins text-base font-medium leading-6">
+                About
+              </p>
+              <div
+                className="text-[48px] font-normal leading-[59px] text-neutral-900 dark:text-zinc-50"
+                style={{ whiteSpace: "pre-line" }}
+                data-testid="creator-description"
+              >
+                {creator.description}
+              </div>
+
+              <CreatorLinks links={creator.links} />
+            </div>
+          </div>
+          <div className="mt-8 sm:mt-12 md:mt-16 lg:pb-[58px]">
+            <Separator className="mb-6 bg-gray-200" />
+            {creatorAgents && (
+              <AgentsSection
+                agents={creatorAgents.agents}
+                hideAvatars={true}
+                sectionTitle={`Agents by ${creator.name}`}
+              />
+            )}
+          </div>
+        </main>
+      </div>
+    );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainCreatorPage/useMainCreatorPage.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainCreatorPage/useMainCreatorPage.ts
new file mode 100644
index 000000000000..aca2110eaef5
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainCreatorPage/useMainCreatorPage.ts
@@ -0,0 +1,50 @@
+import {
+  useGetV2GetCreatorDetails,
+  useGetV2ListStoreAgents,
+} from "@/app/api/__generated__/endpoints/store/store";
+import { StoreAgentsResponse } from "@/app/api/__generated__/models/storeAgentsResponse";
+import { MarketplaceCreatorPageParams } from "../../creator/[creator]/page";
+import { CreatorDetails } from "@/app/api/__generated__/models/creatorDetails";
+
+interface useMainCreatorPageProps {
+  params: MarketplaceCreatorPageParams;
+}
+
+export const useMainCreatorPage = ({ params }: useMainCreatorPageProps) => {
+  const {
+    data: creatorAgents,
+    isLoading: isCreatorAgentsLoading,
+    isError: isCreatorAgentsError,
+  } = useGetV2ListStoreAgents(
+    { creator: params.creator },
+    {
+      query: {
+        select: (x) => {
+          return x.data as StoreAgentsResponse;
+        },
+      },
+    },
+  );
+
+  const {
+    data: creator,
+    isLoading: isCreatorDetailsLoading,
+    isError: isCreatorDetailsError,
+  } = useGetV2GetCreatorDetails(params.creator, {
+    query: {
+      select: (x) => {
+        return x.data as CreatorDetails;
+      },
+    },
+  });
+
+  const isLoading = isCreatorAgentsLoading || isCreatorDetailsLoading;
+  const hasError = isCreatorAgentsError || isCreatorDetailsError;
+
+  return {
+    creatorAgents,
+    creator,
+    isLoading,
+    hasError,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePage/MainMarketplacePage.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePage/MainMarketplacePage.tsx
new file mode 100644
index 000000000000..ee30cfb3b564
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePage/MainMarketplacePage.tsx
@@ -0,0 +1,65 @@
+"use client";
+import { Separator } from "@/components/ui/separator";
+import { FeaturedSection } from "../FeaturedSection/FeaturedSection";
+import { BecomeACreator } from "../BecomeACreator/BecomeACreator";
+import { HeroSection } from "../HeroSection/HeroSection";
+import { AgentsSection } from "../AgentsSection/AgentsSection";
+import { useMainMarketplacePage } from "./useMainMarketplacePage";
+import { FeaturedCreators } from "../FeaturedCreators/FeaturedCreators";
+import { MainMarketplacePageLoading } from "../MainMarketplacePageLoading";
+import { ErrorCard } from "@/components/molecules/ErrorCard/ErrorCard";
+
+export const MainMarkeplacePage = () => {
+  const { featuredAgents, topAgents, featuredCreators, isLoading, hasError } =
+    useMainMarketplacePage();
+
+  if (isLoading) {
+    return <MainMarketplacePageLoading />;
+  }
+
+  if (hasError) {
+    return (
+      <div className="mx-auto w-screen max-w-[1360px]">
+        <main className="px-4">
+          <div className="flex min-h-[400px] items-center justify-center">
+            <ErrorCard
+              isSuccess={false}
+              responseError={{ message: "Failed to load marketplace data" }}
+              context="marketplace page"
+              onRetry={() => window.location.reload()}
+              className="w-full max-w-md"
+            />
+          </div>
+        </main>
+      </div>
+    );
+  }
+
+  return (
+    // FRONTEND-TODO : Need better state location, need to fetch creators and agents in their respective file, Can't do it right now because these files are used in some other pages of marketplace, will fix it when encounter with those pages
+    <div className="mx-auto w-screen max-w-[1360px]">
+      <main className="px-4">
+        <HeroSection />
+        {featuredAgents && (
+          <FeaturedSection featuredAgents={featuredAgents.agents} />
+        )}
+        {/* 100px margin because our featured sections button are placed 40px below the container */}
+        <Separator className="mb-6 mt-24" />
+
+        {topAgents && (
+          <AgentsSection sectionTitle="Top Agents" agents={topAgents.agents} />
+        )}
+        <Separator className="mb-[25px] mt-[60px]" />
+        {featuredCreators && (
+          <FeaturedCreators featuredCreators={featuredCreators.creators} />
+        )}
+        <Separator className="mb-[25px] mt-[60px]" />
+        <BecomeACreator
+          title="Become a Creator"
+          description="Join our ever-growing community of hackers and tinkerers"
+          buttonText="Become a Creator"
+        />
+      </main>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePage/useMainMarketplacePage.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePage/useMainMarketplacePage.ts
new file mode 100644
index 000000000000..9f3fcc8937a7
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePage/useMainMarketplacePage.ts
@@ -0,0 +1,70 @@
+import {
+  useGetV2ListStoreAgents,
+  useGetV2ListStoreCreators,
+} from "@/app/api/__generated__/endpoints/store/store";
+import { StoreAgentsResponse } from "@/app/api/__generated__/models/storeAgentsResponse";
+import { CreatorsResponse } from "@/app/api/__generated__/models/creatorsResponse";
+
+export const useMainMarketplacePage = () => {
+  // Below queries are already fetched on server and hydrated properly in cache, hence these requests are fast
+  const {
+    data: featuredAgents,
+    isLoading: isFeaturedAgentsLoading,
+    isError: isFeaturedAgentsError,
+  } = useGetV2ListStoreAgents(
+    { featured: true },
+    {
+      query: {
+        select: (x) => {
+          return x.data as StoreAgentsResponse;
+        },
+      },
+    },
+  );
+
+  const {
+    data: topAgents,
+    isLoading: isTopAgentsLoading,
+    isError: isTopAgentsError,
+  } = useGetV2ListStoreAgents(
+    {
+      sorted_by: "runs",
+      page_size: 1000,
+    },
+    {
+      query: {
+        select: (x) => {
+          return x.data as StoreAgentsResponse;
+        },
+      },
+    },
+  );
+
+  const {
+    data: featuredCreators,
+    isLoading: isFeaturedCreatorsLoading,
+    isError: isFeaturedCreatorsError,
+  } = useGetV2ListStoreCreators(
+    { featured: true, sorted_by: "num_agents" },
+    {
+      query: {
+        select: (x) => {
+          return x.data as CreatorsResponse;
+        },
+      },
+    },
+  );
+
+  const isLoading =
+    isFeaturedAgentsLoading || isTopAgentsLoading || isFeaturedCreatorsLoading;
+  const hasError =
+    isFeaturedAgentsError || isTopAgentsError || isFeaturedCreatorsError;
+
+  return {
+    featuredAgents,
+    topAgents,
+    featuredCreators,
+    isLoading,
+    hasError,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePageLoading.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePageLoading.tsx
new file mode 100644
index 000000000000..259ad422f608
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/MainMarketplacePageLoading.tsx
@@ -0,0 +1,31 @@
+import { Skeleton } from "@/components/ui/skeleton";
+
+export const MainMarketplacePageLoading = () => {
+  return (
+    <div className="mx-auto w-screen max-w-[1360px]">
+      <main className="px-4">
+        <div className="flex flex-col gap-2 pt-16">
+          <div className="flex flex-col items-center justify-center gap-8">
+            <Skeleton className="h-16 w-[60%]" />
+            <Skeleton className="h-12 w-[40%]" />
+          </div>
+          <div className="flex flex-col items-center justify-center gap-8 pt-8">
+            <Skeleton className="h-8 w-[60%]" />
+          </div>
+          <div className="mx-auto flex w-[80%] flex-wrap items-center justify-center gap-8 pt-24">
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+            <Skeleton className="h-[12rem] w-[12rem]" />
+          </div>
+        </div>
+      </main>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/SearchBar/SearchBar.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/SearchBar/SearchBar.tsx
new file mode 100644
index 000000000000..3395fe39db1e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/SearchBar/SearchBar.tsx
@@ -0,0 +1,44 @@
+"use client";
+
+import { MagnifyingGlassIcon } from "@radix-ui/react-icons";
+import { useSearchbar } from "./useSearchBar";
+
+interface SearchBarProps {
+  placeholder?: string;
+  backgroundColor?: string;
+  iconColor?: string;
+  textColor?: string;
+  placeholderColor?: string;
+  width?: string;
+  height?: string;
+}
+
+export const SearchBar = ({
+  placeholder = 'Search for tasks like "optimise SEO"',
+  backgroundColor = "bg-neutral-100 dark:bg-neutral-800",
+  iconColor = "text-[#646464] dark:text-neutral-400",
+  textColor = "text-[#707070] dark:text-neutral-200",
+  placeholderColor = "text-[#707070] dark:text-neutral-400",
+  width = "w-9/10 lg:w-[56.25rem]",
+  height = "h-[60px]",
+}: SearchBarProps) => {
+  const { handleSubmit, setSearchQuery, searchQuery } = useSearchbar();
+
+  return (
+    <form
+      onSubmit={handleSubmit}
+      data-testid="store-search-bar"
+      className={`${width} ${height} px-4 pt-2 md:px-6 md:pt-1 ${backgroundColor} flex items-center justify-center gap-2 rounded-full md:gap-5`}
+    >
+      <MagnifyingGlassIcon className={`h-5 w-5 md:h-7 md:w-7 ${iconColor}`} />
+      <input
+        type="text"
+        value={searchQuery}
+        onChange={(e) => setSearchQuery(e.target.value)}
+        placeholder={placeholder}
+        className={`flex-grow border-none bg-transparent ${textColor} font-sans text-lg font-normal leading-[2.25rem] tracking-tight md:text-xl placeholder:${placeholderColor} focus:outline-none`}
+        data-testid="store-search-input"
+      />
+    </form>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/SearchBar/useSearchBar.ts b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/SearchBar/useSearchBar.ts
new file mode 100644
index 000000000000..e6d6b4837f11
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/SearchBar/useSearchBar.ts
@@ -0,0 +1,24 @@
+import { useRouter } from "next/navigation";
+import { useState } from "react";
+
+export const useSearchbar = () => {
+  const router = useRouter();
+
+  const [searchQuery, setSearchQuery] = useState("");
+
+  const handleSubmit = (event: React.FormEvent<HTMLFormElement>) => {
+    event.preventDefault();
+    console.log(searchQuery);
+
+    if (searchQuery.trim()) {
+      const encodedTerm = encodeURIComponent(searchQuery);
+      router.push(`/marketplace/search?searchTerm=${encodedTerm}`);
+    }
+  };
+
+  return {
+    handleSubmit,
+    setSearchQuery,
+    searchQuery,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/components/StoreCard/StoreCard.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/StoreCard/StoreCard.tsx
new file mode 100644
index 000000000000..6b515f01bdb5
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/components/StoreCard/StoreCard.tsx
@@ -0,0 +1,120 @@
+import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
+import Image from "next/image";
+import { StarRatingIcons } from "@/components/ui/icons";
+
+interface StoreCardProps {
+  agentName: string;
+  agentImage: string;
+  description: string;
+  runs: number;
+  rating: number;
+  onClick: () => void;
+  avatarSrc: string;
+  hideAvatar?: boolean;
+  creatorName?: string;
+}
+
+export const StoreCard: React.FC<StoreCardProps> = ({
+  agentName,
+  agentImage,
+  description,
+  runs,
+  rating,
+  onClick,
+  avatarSrc,
+  hideAvatar = false,
+  creatorName,
+}) => {
+  const handleClick = () => {
+    onClick();
+  };
+
+  return (
+    <div
+      className="flex h-[27rem] w-full max-w-md cursor-pointer flex-col items-start rounded-3xl bg-background transition-all duration-300 hover:shadow-lg dark:hover:shadow-gray-700"
+      onClick={handleClick}
+      data-testid="store-card"
+      role="button"
+      tabIndex={0}
+      aria-label={`${agentName} agent card`}
+      onKeyDown={(e) => {
+        if (e.key === "Enter" || e.key === " ") {
+          handleClick();
+        }
+      }}
+    >
+      {/* First Section: Image with Avatar */}
+      <div className="relative aspect-[2/1.2] w-full overflow-hidden rounded-3xl md:aspect-[2.17/1]">
+        {agentImage && (
+          <Image
+            src={agentImage}
+            alt={`${agentName} preview image`}
+            fill
+            className="object-cover"
+            priority
+          />
+        )}
+        {!hideAvatar && (
+          <div className="absolute bottom-4 left-4">
+            <Avatar className="h-16 w-16">
+              {avatarSrc && (
+                <AvatarImage
+                  src={avatarSrc}
+                  alt={`${creatorName || agentName} creator avatar`}
+                />
+              )}
+              <AvatarFallback size={64}>
+                {(creatorName || agentName).charAt(0)}
+              </AvatarFallback>
+            </Avatar>
+          </div>
+        )}
+      </div>
+
+      <div className="mt-3 flex w-full flex-1 flex-col px-4">
+        {/* Second Section: Agent Name and Creator Name */}
+        <div className="flex w-full flex-col">
+          <h3 className="line-clamp-2 font-poppins text-2xl font-semibold text-[#272727] dark:text-neutral-100">
+            {agentName}
+          </h3>
+          {!hideAvatar && creatorName && (
+            <p className="mt-3 truncate font-sans text-xl font-normal text-neutral-600 dark:text-neutral-400">
+              by {creatorName}
+            </p>
+          )}
+        </div>
+
+        {/* Third Section: Description */}
+        <div className="mt-2.5 flex w-full flex-col">
+          <p className="line-clamp-3 text-base font-normal leading-normal text-neutral-600 dark:text-neutral-400">
+            {description}
+          </p>
+        </div>
+
+        <div className="flex-grow" />
+        {/* Spacer to push stats to bottom */}
+
+        {/* Fourth Section: Stats Row - aligned to bottom */}
+        <div className="mt-5 w-full">
+          <div className="flex items-center justify-between">
+            <div className="text-lg font-semibold text-neutral-800 dark:text-neutral-200">
+              {runs.toLocaleString()} runs
+            </div>
+            <div className="flex items-center gap-2">
+              <span className="text-lg font-semibold text-neutral-800 dark:text-neutral-200">
+                {rating.toFixed(1)}
+              </span>
+              <div
+                className="inline-flex items-center"
+                role="img"
+                aria-label={`Rating: ${rating.toFixed(1)} out of 5 stars`}
+              >
+                {StarRatingIcons(rating)}
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/creator/[creator]/page.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/creator/[creator]/page.tsx
new file mode 100644
index 000000000000..7d8158b12322
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/creator/[creator]/page.tsx
@@ -0,0 +1,55 @@
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import {
+  getV2GetCreatorDetails,
+  prefetchGetV2GetCreatorDetailsQuery,
+  prefetchGetV2ListStoreAgentsQuery,
+} from "@/app/api/__generated__/endpoints/store/store";
+import { dehydrate, HydrationBoundary } from "@tanstack/react-query";
+import { MainCreatorPage } from "../../components/MainCreatorPage/MainCreatorPage";
+import { Metadata } from "next";
+import { CreatorDetails } from "@/app/api/__generated__/models/creatorDetails";
+
+export const dynamic = "force-dynamic";
+
+export interface MarketplaceCreatorPageParams {
+  creator: string;
+}
+
+export async function generateMetadata({
+  params: _params,
+}: {
+  params: Promise<MarketplaceCreatorPageParams>;
+}): Promise<Metadata> {
+  const params = await _params;
+  const { data: creator } = await getV2GetCreatorDetails(
+    params.creator.toLowerCase(),
+  );
+
+  return {
+    title: `${(creator as CreatorDetails).name} - AutoGPT Store`,
+    description: (creator as CreatorDetails).description,
+  };
+}
+
+export default async function Page({
+  params: _params,
+}: {
+  params: Promise<MarketplaceCreatorPageParams>;
+}) {
+  const queryClient = getQueryClient();
+
+  const params = await _params;
+
+  await Promise.all([
+    prefetchGetV2ListStoreAgentsQuery(queryClient, {
+      creator: params.creator,
+    }),
+    prefetchGetV2GetCreatorDetailsQuery(queryClient, params.creator),
+  ]);
+
+  return (
+    <HydrationBoundary state={dehydrate(queryClient)}>
+      <MainCreatorPage params={params} />
+    </HydrationBoundary>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/page.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/page.tsx
new file mode 100644
index 000000000000..7186ec54cd09
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/page.tsx
@@ -0,0 +1,77 @@
+import { Metadata } from "next";
+import {
+  prefetchGetV2ListStoreAgentsQuery,
+  prefetchGetV2ListStoreCreatorsQuery,
+} from "@/app/api/__generated__/endpoints/store/store";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import { dehydrate, HydrationBoundary } from "@tanstack/react-query";
+import { MainMarkeplacePage } from "./components/MainMarketplacePage/MainMarketplacePage";
+
+export const dynamic = "force-dynamic";
+
+// FIX: Correct metadata
+export const metadata: Metadata = {
+  title: "Marketplace - AutoGPT Platform",
+  description: "Find and use AI Agents created by our community",
+  applicationName: "AutoGPT Marketplace",
+  authors: [{ name: "AutoGPT Team" }],
+  keywords: [
+    "AI agents",
+    "automation",
+    "artificial intelligence",
+    "AutoGPT",
+    "marketplace",
+  ],
+  robots: {
+    index: true,
+    follow: true,
+  },
+  openGraph: {
+    title: "Marketplace - AutoGPT Platform",
+    description: "Find and use AI Agents created by our community",
+    type: "website",
+    siteName: "AutoGPT Marketplace",
+    images: [
+      {
+        url: "/images/store-og.png",
+        width: 1200,
+        height: 630,
+        alt: "AutoGPT Marketplace",
+      },
+    ],
+  },
+  twitter: {
+    card: "summary_large_image",
+    title: "Marketplace - AutoGPT Platform",
+    description: "Find and use AI Agents created by our community",
+    images: ["/images/store-twitter.png"],
+  },
+  icons: {
+    icon: "/favicon.ico",
+    shortcut: "/favicon-16x16.png",
+    apple: "/apple-touch-icon.png",
+  },
+};
+
+export default async function MarketplacePage(): Promise<React.ReactElement> {
+  const queryClient = getQueryClient();
+
+  await Promise.all([
+    prefetchGetV2ListStoreAgentsQuery(queryClient, {
+      featured: true,
+    }),
+    prefetchGetV2ListStoreAgentsQuery(queryClient, {
+      sorted_by: "runs",
+    }),
+    prefetchGetV2ListStoreCreatorsQuery(queryClient, {
+      featured: true,
+      sorted_by: "num_agents",
+    }),
+  ]);
+
+  return (
+    <HydrationBoundary state={dehydrate(queryClient)}>
+      <MainMarkeplacePage />
+    </HydrationBoundary>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/marketplace/search/page.tsx b/autogpt_platform/frontend/src/app/(platform)/marketplace/search/page.tsx
new file mode 100644
index 000000000000..d9209b2c4a8e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/marketplace/search/page.tsx
@@ -0,0 +1,188 @@
+"use client";
+
+import { use, useCallback, useEffect, useState } from "react";
+import { AgentsSection } from "@/components/agptui/composite/AgentsSection";
+import { SearchBar } from "@/components/agptui/SearchBar";
+import { FeaturedCreators } from "@/components/agptui/composite/FeaturedCreators";
+import { Separator } from "@/components/ui/separator";
+import { SearchFilterChips } from "@/components/agptui/SearchFilterChips";
+import { SortDropdown } from "@/components/agptui/SortDropdown";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { Creator, StoreAgent } from "@/lib/autogpt-server-api";
+
+type MarketplaceSearchPageSearchParams = { searchTerm?: string; sort?: string };
+
+export default function MarketplaceSearchPage({
+  searchParams,
+}: {
+  searchParams: Promise<MarketplaceSearchPageSearchParams>;
+}) {
+  return (
+    <SearchResults
+      searchTerm={use(searchParams).searchTerm || ""}
+      sort={use(searchParams).sort || "trending"}
+    />
+  );
+}
+
+function SearchResults({
+  searchTerm,
+  sort,
+}: {
+  searchTerm: string;
+  sort: string;
+}): React.ReactElement {
+  const [showAgents, setShowAgents] = useState(true);
+  const [showCreators, setShowCreators] = useState(true);
+  const [agents, setAgents] = useState<StoreAgent[]>([]);
+  const [creators, setCreators] = useState<Creator[]>([]);
+  const [isLoading, setIsLoading] = useState(true);
+  const api = useBackendAPI();
+
+  useEffect(() => {
+    const fetchData = async () => {
+      setIsLoading(true);
+
+      try {
+        const [agentsRes, creatorsRes] = await Promise.all([
+          api.getStoreAgents({
+            search_query: searchTerm,
+            sorted_by: sort,
+          }),
+          api.getStoreCreators({
+            search_query: searchTerm,
+          }),
+        ]);
+
+        setAgents(agentsRes.agents || []);
+        setCreators(creatorsRes.creators || []);
+      } catch (error) {
+        console.error("Error fetching data:", error);
+      } finally {
+        setIsLoading(false);
+      }
+    };
+
+    fetchData();
+  }, [api, searchTerm, sort]);
+
+  const agentsCount = agents.length;
+  const creatorsCount = creators.length;
+  const totalCount = agentsCount + creatorsCount;
+
+  const handleFilterChange = (value: string) => {
+    if (value === "agents") {
+      setShowAgents(true);
+      setShowCreators(false);
+    } else if (value === "creators") {
+      setShowAgents(false);
+      setShowCreators(true);
+    } else {
+      setShowAgents(true);
+      setShowCreators(true);
+    }
+  };
+
+  const handleSortChange = useCallback(
+    (sortValue: string) => {
+      let sortBy = "recent";
+      if (sortValue === "runs") {
+        sortBy = "runs";
+      } else if (sortValue === "rating") {
+        sortBy = "rating";
+      }
+
+      const sortedAgents = [...agents].sort((a, b) => {
+        if (sortBy === "runs") {
+          return b.runs - a.runs;
+        } else if (sortBy === "rating") {
+          return b.rating - a.rating;
+        } else {
+          return (
+            new Date(b.updated_at).getTime() - new Date(a.updated_at).getTime()
+          );
+        }
+      });
+
+      const sortedCreators = [...creators].sort((a, b) => {
+        if (sortBy === "runs") {
+          return b.agent_runs - a.agent_runs;
+        } else if (sortBy === "rating") {
+          return b.agent_rating - a.agent_rating;
+        } else {
+          // Creators don't have updated_at, sort by number of agents as fallback
+          return b.num_agents - a.num_agents;
+        }
+      });
+
+      setAgents(sortedAgents);
+      setCreators(sortedCreators);
+    },
+    [agents, creators],
+  );
+
+  return (
+    <div className="w-full">
+      <div className="mx-auto min-h-screen max-w-[1440px] px-10 lg:min-w-[1440px]">
+        <div className="mt-8 flex items-center">
+          <div className="flex-1">
+            <h2 className="text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+              Results for:
+            </h2>
+            <h1 className="font-poppins text-2xl font-semibold leading-[32px] text-neutral-800 dark:text-neutral-100">
+              {searchTerm}
+            </h1>
+          </div>
+          <div className="flex-none">
+            <SearchBar width="w-[439px]" height="h-[60px]" />
+          </div>
+        </div>
+
+        {isLoading ? (
+          <div className="mt-20 flex flex-col items-center justify-center">
+            <p className="text-neutral-500 dark:text-neutral-400">Loading...</p>
+          </div>
+        ) : totalCount > 0 ? (
+          <>
+            <div className="mt-[36px] flex items-center justify-between">
+              <SearchFilterChips
+                totalCount={totalCount}
+                agentsCount={agentsCount}
+                creatorsCount={creatorsCount}
+                onFilterChange={handleFilterChange}
+              />
+              <SortDropdown onSort={handleSortChange} />
+            </div>
+            {/* Content section */}
+            <div className="min-h-[500px] max-w-[1440px]">
+              {showAgents && agentsCount > 0 && (
+                <div className="mt-[36px]">
+                  <AgentsSection agents={agents} sectionTitle="Agents" />
+                </div>
+              )}
+
+              {showAgents && agentsCount > 0 && creatorsCount > 0 && (
+                <Separator />
+              )}
+              {showCreators && creatorsCount > 0 && (
+                <FeaturedCreators
+                  featuredCreators={creators}
+                  title="Creators"
+                />
+              )}
+            </div>
+          </>
+        ) : (
+          <div className="mt-20 flex flex-col items-center justify-center">
+            <h3 className="mb-2 text-xl font-medium text-neutral-600 dark:text-neutral-300">
+              No results found
+            </h3>
+            <p className="text-neutral-500 dark:text-neutral-400">
+              Try adjusting your search terms or filters
+            </p>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/monitoring/loading.tsx b/autogpt_platform/frontend/src/app/(platform)/monitoring/loading.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/app/monitoring/loading.tsx
rename to autogpt_platform/frontend/src/app/(platform)/monitoring/loading.tsx
diff --git a/autogpt_platform/frontend/src/app/(platform)/monitoring/page.tsx b/autogpt_platform/frontend/src/app/(platform)/monitoring/page.tsx
new file mode 100644
index 000000000000..434103bf34b1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/monitoring/page.tsx
@@ -0,0 +1,150 @@
+"use client";
+import React, { useCallback, useEffect, useState } from "react";
+
+import {
+  GraphExecutionMeta,
+  Schedule,
+  LibraryAgent,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+
+import { Card } from "@/components/ui/card";
+import {
+  AgentFlowList,
+  FlowInfo,
+  FlowRunInfo,
+  FlowRunsList,
+  FlowRunsStats,
+} from "@/components/monitor";
+import { SchedulesTable } from "@/components/monitor/scheduleTable";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+const Monitor = () => {
+  const [flows, setFlows] = useState<LibraryAgent[]>([]);
+  const [executions, setExecutions] = useState<GraphExecutionMeta[]>([]);
+  const [schedules, setSchedules] = useState<Schedule[]>([]);
+  const [selectedFlow, setSelectedFlow] = useState<LibraryAgent | null>(null);
+  const [selectedRun, setSelectedRun] = useState<GraphExecutionMeta | null>(
+    null,
+  );
+  const [sortColumn, setSortColumn] = useState<keyof Schedule>("id");
+  const [sortDirection, setSortDirection] = useState<"asc" | "desc">("asc");
+  const api = useBackendAPI();
+
+  const fetchSchedules = useCallback(async () => {
+    setSchedules(await api.listAllGraphsExecutionSchedules());
+  }, [api]);
+
+  const removeSchedule = useCallback(
+    async (scheduleId: ScheduleID) => {
+      const removedSchedule =
+        await api.deleteGraphExecutionSchedule(scheduleId);
+      setSchedules(schedules.filter((s) => s.id !== removedSchedule.id));
+    },
+    [schedules, api],
+  );
+
+  const fetchAgents = useCallback(() => {
+    api.listLibraryAgents().then((response) => {
+      setFlows(response.agents);
+    });
+    api.getExecutions().then((executions) => {
+      setExecutions(executions);
+    });
+  }, [api]);
+
+  useEffect(() => {
+    fetchAgents();
+  }, [fetchAgents]);
+
+  useEffect(() => {
+    fetchSchedules();
+  }, [fetchSchedules]);
+
+  useEffect(() => {
+    const intervalId = setInterval(() => fetchAgents(), 5000);
+    return () => clearInterval(intervalId);
+  }, [fetchAgents, flows]);
+
+  const column1 = "md:col-span-2 xl:col-span-3 xxl:col-span-2";
+  const column2 = "md:col-span-3 lg:col-span-2 xl:col-span-3";
+  const column3 = "col-span-full xl:col-span-4 xxl:col-span-5";
+
+  const handleSort = (column: keyof Schedule) => {
+    if (sortColumn === column) {
+      setSortDirection(sortDirection === "asc" ? "desc" : "asc");
+    } else {
+      setSortColumn(column);
+      setSortDirection("asc");
+    }
+  };
+
+  return (
+    <div
+      className="grid grid-cols-1 gap-4 p-4 md:grid-cols-5 lg:grid-cols-4 xl:grid-cols-10"
+      data-testid="monitor-page"
+    >
+      <AgentFlowList
+        className={column1}
+        flows={flows}
+        executions={executions}
+        selectedFlow={selectedFlow}
+        onSelectFlow={(f) => {
+          setSelectedRun(null);
+          setSelectedFlow(f.id == selectedFlow?.id ? null : f);
+        }}
+      />
+      <FlowRunsList
+        className={column2}
+        flows={flows}
+        executions={[
+          ...(selectedFlow
+            ? executions.filter((v) => v.graph_id == selectedFlow.graph_id)
+            : executions),
+        ].sort((a, b) => b.started_at.getTime() - a.started_at.getTime())}
+        selectedRun={selectedRun}
+        onSelectRun={(r) => setSelectedRun(r.id == selectedRun?.id ? null : r)}
+      />
+      {(selectedRun && (
+        <FlowRunInfo
+          agent={
+            selectedFlow ||
+            flows.find((f) => f.graph_id == selectedRun.graph_id)!
+          }
+          execution={selectedRun}
+          className={column3}
+        />
+      )) ||
+        (selectedFlow && (
+          <FlowInfo
+            flow={selectedFlow}
+            executions={executions.filter(
+              (e) => e.graph_id == selectedFlow.graph_id,
+            )}
+            className={column3}
+            refresh={() => {
+              fetchAgents();
+              setSelectedFlow(null);
+              setSelectedRun(null);
+            }}
+          />
+        )) || (
+          <Card className={`p-6 ${column3}`}>
+            <FlowRunsStats flows={flows} executions={executions} />
+          </Card>
+        )}
+      <div className="col-span-full xl:col-span-6">
+        <SchedulesTable
+          schedules={schedules} // all schedules
+          agents={flows} // for filtering purpose
+          onRemoveSchedule={removeSchedule}
+          sortColumn={sortColumn}
+          sortDirection={sortDirection}
+          onSort={handleSort}
+        />
+      </div>
+    </div>
+  );
+};
+
+export default Monitor;
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeySection/APIKeySection.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeySection/APIKeySection.tsx
new file mode 100644
index 000000000000..61a2dcf26081
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeySection/APIKeySection.tsx
@@ -0,0 +1,106 @@
+"use client";
+
+import { Loader2, MoreVertical } from "lucide-react";
+import { Button } from "@/components/ui/button";
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
+import { Badge } from "@/components/ui/badge";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
+import { useAPISection } from "./useAPISection";
+
+export function APIKeysSection() {
+  const { apiKeys, isLoading, isDeleting, handleRevokeKey } = useAPISection();
+
+  return (
+    <>
+      {isLoading ? (
+        <div className="flex justify-center p-4">
+          <Loader2 className="h-6 w-6 animate-spin" />
+        </div>
+      ) : (
+        apiKeys &&
+        apiKeys.length > 0 && (
+          <Table>
+            <TableHeader>
+              <TableRow>
+                <TableHead>Name</TableHead>
+                <TableHead>API Key</TableHead>
+                <TableHead>Status</TableHead>
+                <TableHead>Created</TableHead>
+                <TableHead>Last Used</TableHead>
+                <TableHead></TableHead>
+              </TableRow>
+            </TableHeader>
+            <TableBody>
+              {apiKeys.map((key) => (
+                <TableRow key={key.id} data-testid="api-key-row">
+                  <TableCell>{key.name}</TableCell>
+                  <TableCell data-testid="api-key-id">
+                    <div className="rounded-md border p-1 px-2 text-xs">
+                      {`${key.prefix}******************${key.postfix}`}
+                    </div>
+                  </TableCell>
+                  <TableCell>
+                    <Badge
+                      variant={
+                        key.status === "ACTIVE" ? "default" : "destructive"
+                      }
+                      className={
+                        key.status === "ACTIVE"
+                          ? "border-green-600 bg-green-100 text-green-800"
+                          : "border-red-600 bg-red-100 text-red-800"
+                      }
+                    >
+                      {key.status}
+                    </Badge>
+                  </TableCell>
+                  <TableCell>
+                    {new Date(key.created_at).toLocaleDateString()}
+                  </TableCell>
+                  <TableCell>
+                    {key.last_used_at
+                      ? new Date(key.last_used_at).toLocaleDateString()
+                      : "Never"}
+                  </TableCell>
+                  <TableCell>
+                    <DropdownMenu>
+                      <DropdownMenuTrigger asChild>
+                        <Button
+                          data-testid="api-key-actions"
+                          variant="ghost"
+                          size="sm"
+                        >
+                          <MoreVertical className="h-4 w-4" />
+                        </Button>
+                      </DropdownMenuTrigger>
+                      <DropdownMenuContent align="end">
+                        <DropdownMenuItem
+                          className="text-destructive"
+                          onClick={() => handleRevokeKey(key.id)}
+                          disabled={isDeleting}
+                        >
+                          Revoke
+                        </DropdownMenuItem>
+                      </DropdownMenuContent>
+                    </DropdownMenu>
+                  </TableCell>
+                </TableRow>
+              ))}
+            </TableBody>
+          </Table>
+        )
+      )}
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeySection/useAPISection.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeySection/useAPISection.tsx
new file mode 100644
index 000000000000..20930ed27668
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeySection/useAPISection.tsx
@@ -0,0 +1,61 @@
+"use client";
+import {
+  getGetV1ListUserApiKeysQueryKey,
+  useDeleteV1RevokeApiKey,
+  useGetV1ListUserApiKeys,
+} from "@/app/api/__generated__/endpoints/api-keys/api-keys";
+import { APIKeyWithoutHash } from "@/app/api/__generated__/models/aPIKeyWithoutHash";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+
+export const useAPISection = () => {
+  const queryClient = getQueryClient();
+  const { toast } = useToast();
+
+  const { data: apiKeys, isLoading } = useGetV1ListUserApiKeys({
+    query: {
+      select: (res) => {
+        return (res.data as APIKeyWithoutHash[]).filter(
+          (key) => key.status === "ACTIVE",
+        );
+      },
+    },
+  });
+
+  const { mutateAsync: revokeAPIKey, isPending: isDeleting } =
+    useDeleteV1RevokeApiKey({
+      mutation: {
+        onSettled: () => {
+          return queryClient.invalidateQueries({
+            queryKey: getGetV1ListUserApiKeysQueryKey(),
+          });
+        },
+      },
+    });
+
+  const handleRevokeKey = async (keyId: string) => {
+    try {
+      await revokeAPIKey({
+        keyId: keyId,
+      });
+
+      toast({
+        title: "Success",
+        description: "AutoGPT Platform API key revoked successfully",
+      });
+    } catch {
+      toast({
+        title: "Error",
+        description: "Failed to revoke AutoGPT Platform API key",
+        variant: "destructive",
+      });
+    }
+  };
+
+  return {
+    apiKeys,
+    isLoading,
+    isDeleting,
+    handleRevokeKey,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeysModals/APIKeysModals.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeysModals/APIKeysModals.tsx
new file mode 100644
index 000000000000..04d615593646
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeysModals/APIKeysModals.tsx
@@ -0,0 +1,133 @@
+"use client";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+  DialogTrigger,
+} from "@/components/ui/dialog";
+import { LuCopy } from "react-icons/lu";
+import { Label } from "@/components/ui/label";
+import { Input } from "@/components/ui/input";
+import { Checkbox } from "@/components/ui/checkbox";
+import { Button } from "@/components/ui/button";
+
+import { useAPIkeysModals } from "./useAPIkeysModals";
+import { APIKeyPermission } from "@/app/api/__generated__/models/aPIKeyPermission";
+
+export const APIKeysModals = () => {
+  const {
+    isCreating,
+    handleCreateKey,
+    handleCopyKey,
+    setIsCreateOpen,
+    setIsKeyDialogOpen,
+    isCreateOpen,
+    isKeyDialogOpen,
+    keyState,
+    setKeyState,
+  } = useAPIkeysModals();
+
+  return (
+    <div className="mb-4 flex justify-end">
+      <Dialog open={isCreateOpen} onOpenChange={setIsCreateOpen}>
+        <DialogTrigger asChild>
+          <Button>Create Key</Button>
+        </DialogTrigger>
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>Create New API Key</DialogTitle>
+            <DialogDescription>
+              Create a new AutoGPT Platform API key
+            </DialogDescription>
+          </DialogHeader>
+          <div className="grid gap-4 py-4">
+            <div className="grid gap-2">
+              <Label htmlFor="name">Name</Label>
+              <Input
+                id="name"
+                value={keyState.newKeyName}
+                onChange={(e) =>
+                  setKeyState((prev) => ({
+                    ...prev,
+                    newKeyName: e.target.value,
+                  }))
+                }
+                placeholder="My AutoGPT Platform API Key"
+              />
+            </div>
+            <div className="grid gap-2">
+              <Label htmlFor="description">Description (Optional)</Label>
+              <Input
+                id="description"
+                value={keyState.newKeyDescription}
+                onChange={(e) =>
+                  setKeyState((prev) => ({
+                    ...prev,
+                    newKeyDescription: e.target.value,
+                  }))
+                }
+                placeholder="Used for..."
+              />
+            </div>
+            <div className="grid gap-2">
+              <Label>Permissions</Label>
+              {Object.values(APIKeyPermission).map((permission) => (
+                <div className="flex items-center space-x-2" key={permission}>
+                  <Checkbox
+                    id={permission}
+                    checked={keyState.selectedPermissions.includes(permission)}
+                    onCheckedChange={(checked: boolean) => {
+                      setKeyState((prev) => ({
+                        ...prev,
+                        selectedPermissions: checked
+                          ? [...prev.selectedPermissions, permission]
+                          : prev.selectedPermissions.filter(
+                              (p) => p !== permission,
+                            ),
+                      }));
+                    }}
+                  />
+                  <Label htmlFor={permission}>{permission}</Label>
+                </div>
+              ))}
+            </div>
+          </div>
+          <DialogFooter>
+            <Button variant="outline" onClick={() => setIsCreateOpen(false)}>
+              Cancel
+            </Button>
+            <Button onClick={handleCreateKey} disabled={isCreating}>
+              Create
+            </Button>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
+
+      <Dialog open={isKeyDialogOpen} onOpenChange={setIsKeyDialogOpen}>
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>AutoGPT Platform API Key Created</DialogTitle>
+            <DialogDescription>
+              Please copy your AutoGPT API key now. You won&apos;t be able to
+              see it again!
+            </DialogDescription>
+          </DialogHeader>
+          <div className="flex items-center space-x-2">
+            <code className="flex-1 rounded-md bg-secondary p-2 text-sm">
+              {keyState.newApiKey}
+            </code>
+            <Button size="icon" variant="outline" onClick={handleCopyKey}>
+              <LuCopy className="h-4 w-4" />
+            </Button>
+          </div>
+          <DialogFooter>
+            <Button onClick={() => setIsKeyDialogOpen(false)}>Close</Button>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeysModals/useAPIkeysModals.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeysModals/useAPIkeysModals.tsx
new file mode 100644
index 000000000000..55d3a03c43c2
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/components/APIKeysModals/useAPIkeysModals.tsx
@@ -0,0 +1,78 @@
+"use client";
+import {
+  getGetV1ListUserApiKeysQueryKey,
+  usePostV1CreateNewApiKey,
+} from "@/app/api/__generated__/endpoints/api-keys/api-keys";
+import { APIKeyPermission } from "@/app/api/__generated__/models/aPIKeyPermission";
+import { CreateAPIKeyResponse } from "@/app/api/__generated__/models/createAPIKeyResponse";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import { useState } from "react";
+
+export const useAPIkeysModals = () => {
+  const [isCreateOpen, setIsCreateOpen] = useState(false);
+  const [isKeyDialogOpen, setIsKeyDialogOpen] = useState(false);
+  const [keyState, setKeyState] = useState({
+    newKeyName: "",
+    newKeyDescription: "",
+    newApiKey: "",
+    selectedPermissions: [] as APIKeyPermission[],
+  });
+  const queryClient = getQueryClient();
+  const { toast } = useToast();
+
+  const { mutateAsync: createAPIKey, isPending: isCreating } =
+    usePostV1CreateNewApiKey({
+      mutation: {
+        onSettled: () => {
+          return queryClient.invalidateQueries({
+            queryKey: getGetV1ListUserApiKeysQueryKey(),
+          });
+        },
+      },
+    });
+
+  const handleCreateKey = async () => {
+    try {
+      const response = await createAPIKey({
+        data: {
+          name: keyState.newKeyName,
+          permissions: keyState.selectedPermissions,
+          description: keyState.newKeyDescription,
+        },
+      });
+      setKeyState((prev) => ({
+        ...prev,
+        newApiKey: (response.data as CreateAPIKeyResponse).plain_text_key,
+      }));
+      setIsCreateOpen(false);
+      setIsKeyDialogOpen(true);
+    } catch {
+      toast({
+        title: "Error",
+        description: "Failed to create AutoGPT Platform API key",
+        variant: "destructive",
+      });
+    }
+  };
+
+  const handleCopyKey = () => {
+    navigator.clipboard.writeText(keyState.newApiKey);
+    toast({
+      title: "Copied",
+      description: "AutoGPT Platform API key copied to clipboard",
+    });
+  };
+
+  return {
+    isCreating,
+    handleCreateKey,
+    handleCopyKey,
+    setIsCreateOpen,
+    setIsKeyDialogOpen,
+    isCreateOpen,
+    isKeyDialogOpen,
+    keyState,
+    setKeyState,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/page.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/page.tsx
new file mode 100644
index 000000000000..1fa2149eec0e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/api_keys/page.tsx
@@ -0,0 +1,33 @@
+import { Metadata } from "next/types";
+import { APIKeysSection } from "@/app/(platform)/profile/(user)/api_keys/components/APIKeySection/APIKeySection";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardHeader,
+  CardTitle,
+} from "@/components/ui/card";
+import { APIKeysModals } from "./components/APIKeysModals/APIKeysModals";
+
+export const metadata: Metadata = { title: "API Keys - AutoGPT Platform" };
+
+const ApiKeysPage = () => {
+  return (
+    <div className="w-full pr-4 pt-24 md:pt-0">
+      <Card>
+        <CardHeader>
+          <CardTitle>AutoGPT Platform API Keys</CardTitle>
+          <CardDescription>
+            Manage your AutoGPT Platform API keys for programmatic access
+          </CardDescription>
+        </CardHeader>
+        <CardContent>
+          <APIKeysModals />
+          <APIKeysSection />
+        </CardContent>
+      </Card>
+    </div>
+  );
+};
+
+export default ApiKeysPage;
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/credits/RefundModal.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/credits/RefundModal.tsx
new file mode 100644
index 000000000000..b4a89fd8fdf8
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/credits/RefundModal.tsx
@@ -0,0 +1,149 @@
+import { useState } from "react";
+import { AlertCircle } from "lucide-react";
+
+import { CreditTransaction } from "@/lib/autogpt-server-api";
+
+import {
+  Dialog,
+  DialogContent,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { Button } from "@/components/ui/button";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { Textarea } from "@/components/ui/textarea";
+
+interface RefundModalProps {
+  isOpen: boolean;
+  onClose: () => void;
+  transactions: CreditTransaction[];
+  formatCredits: (credit: number) => string;
+  refundCredits: (transaction_key: string, reason: string) => Promise<void>;
+}
+
+export const RefundModal = ({
+  isOpen,
+  onClose,
+  transactions,
+  formatCredits,
+  refundCredits,
+}: RefundModalProps) => {
+  const [selectedTransactionId, setSelectedTransactionId] =
+    useState<string>("");
+  const [refundReason, setRefundReason] = useState("");
+  const [error, setError] = useState<string | null>(null);
+
+  const handleClose = () => {
+    setSelectedTransactionId("");
+    setRefundReason("");
+    setError(null);
+    onClose();
+  };
+
+  const handleRefundRequest = () => {
+    setError(null);
+
+    const selectedTransaction = transactions.find(
+      (t) => t.transaction_key === selectedTransactionId,
+    );
+
+    if (!selectedTransaction) {
+      setError("Please select a transaction to refund");
+      return;
+    }
+
+    if (refundReason.trim().length < 20) {
+      setError("Please provide a clear reason for the refund");
+      return;
+    }
+
+    refundCredits(selectedTransactionId, refundReason).finally(() =>
+      handleClose(),
+    );
+  };
+
+  return (
+    <Dialog open={isOpen} onOpenChange={handleClose}>
+      <DialogContent className="sm:max-w-[425px]">
+        <DialogHeader>
+          <DialogTitle>Request Refund</DialogTitle>
+        </DialogHeader>
+        <div className="py-4">
+          <div className="space-y-4">
+            {error && (
+              <div className="flex items-center gap-2 rounded-md border border-destructive bg-destructive/10 p-3 text-sm text-destructive">
+                <AlertCircle className="h-4 w-4" />
+                <p>{error}</p>
+              </div>
+            )}
+
+            {transactions.length === 0 ? (
+              <p className="text-sm text-gray-500">
+                No eligible transactions found for refund.
+              </p>
+            ) : (
+              <div className="space-y-2">
+                <label className="text-sm font-medium">
+                  Select Transaction
+                </label>
+                <Select
+                  value={selectedTransactionId}
+                  onValueChange={setSelectedTransactionId}
+                >
+                  <SelectTrigger>
+                    <SelectValue placeholder="Select a transaction" />
+                  </SelectTrigger>
+                  <SelectContent>
+                    {transactions.map((transaction) => (
+                      <SelectItem
+                        key={transaction.transaction_key}
+                        value={transaction.transaction_key}
+                      >
+                        {new Date(transaction.transaction_time).toLocaleString(
+                          undefined,
+                          {
+                            month: "short",
+                            day: "numeric",
+                            year: "numeric",
+                            hour: "numeric",
+                            minute: "numeric",
+                          },
+                        )}{" "}
+                        - {formatCredits(transaction.amount)}
+                      </SelectItem>
+                    ))}
+                  </SelectContent>
+                </Select>
+              </div>
+            )}
+
+            <div className="space-y-2">
+              <label htmlFor="refundReason" className="text-sm font-medium">
+                Reason for Refund
+              </label>
+              <Textarea
+                id="refundReason"
+                placeholder="Please explain why you're requesting a refund..."
+                value={refundReason}
+                onChange={(e) => setRefundReason(e.target.value)}
+                className="min-h-[100px]"
+              />
+            </div>
+          </div>
+        </div>
+        <div className="flex justify-end space-x-4">
+          <Button variant="outline" onClick={handleClose}>
+            Cancel
+          </Button>
+          <Button onClick={handleRefundRequest}>Request Refund</Button>
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/credits/page.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/credits/page.tsx
new file mode 100644
index 000000000000..aaeb3aefd353
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/credits/page.tsx
@@ -0,0 +1,376 @@
+"use client";
+import { useEffect, useState } from "react";
+import { Button } from "@/components/ui/button";
+import useCredits from "@/hooks/useCredits";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { useSearchParams, useRouter } from "next/navigation";
+import {
+  useToast,
+  useToastOnFail,
+} from "@/components/molecules/Toast/use-toast";
+
+import { RefundModal } from "./RefundModal";
+import { CreditTransaction } from "@/lib/autogpt-server-api";
+
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
+
+export default function CreditsPage() {
+  const api = useBackendAPI();
+  const {
+    requestTopUp,
+    autoTopUpConfig,
+    updateAutoTopUpConfig,
+    transactionHistory,
+    fetchTransactionHistory,
+    formatCredits,
+    refundTopUp,
+    refundRequests,
+  } = useCredits({
+    fetchInitialAutoTopUpConfig: true,
+    fetchInitialRefundRequests: true,
+    fetchInitialTransactionHistory: true,
+  });
+  const router = useRouter();
+  const searchParams = useSearchParams();
+  const topupStatus = searchParams.get("topup") as "success" | "cancel" | null;
+  const { toast } = useToast();
+  const toastOnFail = useToastOnFail();
+
+  const [isRefundModalOpen, setIsRefundModalOpen] = useState(false);
+  const [topUpTransactions, setTopUpTransactions] = useState<
+    CreditTransaction[]
+  >([]);
+  const openRefundModal = () => {
+    api.getTransactionHistory(null, 20, "TOP_UP").then((history) => {
+      setTopUpTransactions(history.transactions);
+      setIsRefundModalOpen(true);
+    });
+  };
+  const refundCredits = (transaction_key: string, reason: string) =>
+    refundTopUp(transaction_key, reason)
+      .then((amount) => {
+        if (amount > 0) {
+          toast({
+            title: "Refund approved! 🎉",
+            description: `Your refund has been automatically processed. Based on your remaining balance, the amount of ${formatCredits(amount)} will be credited to your account.`,
+          });
+        } else {
+          toast({
+            title: "Refund Request Received",
+            description:
+              "We have received your refund request. A member of our team will review it and reach out via email shortly.",
+          });
+        }
+      })
+      .catch(toastOnFail("refund transaction"));
+
+  useEffect(() => {
+    if (api && topupStatus === "success") {
+      api.fulfillCheckout().catch(toastOnFail("fulfill checkout"));
+    }
+  }, [api, topupStatus, toastOnFail]);
+
+  const openBillingPortal = () =>
+    api
+      .getUserPaymentPortalLink()
+      .then((portal) => {
+        router.push(portal.url);
+      })
+      .catch(toastOnFail("open billing portal"));
+
+  const submitTopUp = (e: React.FormEvent<HTMLFormElement>) => {
+    e.preventDefault();
+    const form = e.currentTarget;
+    const amount =
+      parseInt(new FormData(form).get("topUpAmount") as string) * 100;
+    requestTopUp(amount).catch(toastOnFail("request top-up"));
+  };
+
+  const submitAutoTopUpConfig = (e: React.FormEvent<HTMLFormElement>) => {
+    e.preventDefault();
+    const form = e.currentTarget;
+    const formData = new FormData(form);
+    const amount = parseInt(formData.get("topUpAmount") as string) * 100;
+    const threshold = parseInt(formData.get("threshold") as string) * 100;
+    updateAutoTopUpConfig(amount, threshold)
+      .then(() => {
+        toast({ title: "Auto top-up config updated! 🎉" });
+      })
+      .catch(toastOnFail("update auto top-up config"));
+  };
+
+  return (
+    <div className="w-full px-4 sm:px-8 md:min-w-[800px]">
+      <h1 className="mb-6 text-[28px] font-normal text-neutral-900 dark:text-neutral-100 sm:mb-8 sm:text-[35px]">
+        Billing
+      </h1>
+
+      <div className="grid grid-cols-1 gap-8 lg:grid-cols-2">
+        {/* Top-up Form */}
+        <div className="space-y-4">
+          <h3 className="text-lg font-medium">Top-up Credits</h3>
+
+          <p className="mb-6 text-neutral-600 dark:text-neutral-400">
+            {topupStatus === "success" && (
+              <span className="text-green-500">
+                Your payment was successful. Your credits will be updated
+                shortly. Try refreshing the page in case it is not updated.
+              </span>
+            )}
+            {topupStatus === "cancel" && (
+              <span className="text-red-500">
+                Payment failed. Your payment method has not been charged.
+              </span>
+            )}
+          </p>
+
+          <form onSubmit={submitTopUp} className="space-y-4">
+            <div>
+              <label
+                htmlFor="topUpAmount"
+                className="mb-1 block text-neutral-700"
+              >
+                Top-up amount (USD), minimum $5:
+              </label>
+              <input
+                type="number"
+                id="topUpAmount"
+                name="topUpAmount"
+                placeholder="Enter top-up amount"
+                min="5"
+                step="1"
+                defaultValue={5}
+                className="w-full rounded-md border border-slate-200 px-4 py-2 dark:border-slate-700 dark:bg-slate-800"
+                required
+              />
+            </div>
+
+            <Button type="submit" className="w-full">
+              Top-up
+            </Button>
+          </form>
+
+          {/* Auto Top-up Form */}
+          <form onSubmit={submitAutoTopUpConfig} className="my-6 space-y-4">
+            <h3 className="text-lg font-medium">Automatic Refill Settings</h3>
+
+            <div>
+              <label
+                htmlFor="threshold"
+                className="mb-1 block text-neutral-700"
+              >
+                When my balance goes below this amount:
+              </label>
+              <input
+                type="number"
+                id="threshold"
+                name="threshold"
+                defaultValue={
+                  autoTopUpConfig?.threshold
+                    ? autoTopUpConfig.threshold / 100
+                    : ""
+                }
+                placeholder="Refill threshold, minimum $5"
+                min="5"
+                step="1"
+                className="w-full rounded-md border border-slate-200 px-4 py-2 dark:border-slate-700 dark:bg-slate-800"
+                required
+              />
+            </div>
+
+            <div>
+              <label
+                htmlFor="autoTopUpAmount"
+                className="mb-1 block text-neutral-700"
+              >
+                Automatically refill my balance with this amount:
+              </label>
+              <input
+                type="number"
+                id="autoTopUpAmount"
+                name="topUpAmount"
+                defaultValue={
+                  autoTopUpConfig?.amount ? autoTopUpConfig.amount / 100 : ""
+                }
+                placeholder="Refill amount, minimum $5"
+                min="5"
+                step="1"
+                className="w-full rounded-md border border-slate-200 px-4 py-2 dark:border-slate-700 dark:bg-slate-800"
+                required
+              />
+            </div>
+
+            <p className="text-sm">
+              <b>Note:</b> For your safety, we will top up your balance{" "}
+              <b>at most once</b> per agent execution to prevent unintended
+              excessive charges. Therefore, ensure that the automatic top-up
+              amount is sufficient for your agent&apos;s operation.
+            </p>
+
+            {autoTopUpConfig?.amount ? (
+              <>
+                <Button type="submit" className="w-full">
+                  Save Changes
+                </Button>
+                <Button
+                  className="w-full"
+                  variant="destructive"
+                  onClick={() =>
+                    updateAutoTopUpConfig(0, 0).then(() => {
+                      toast({ title: "Auto top-up config disabled! 🎉" });
+                    })
+                  }
+                >
+                  Disable Auto-Refill
+                </Button>
+              </>
+            ) : (
+              <Button type="submit" className="w-full">
+                Enable Auto-Refill
+              </Button>
+            )}
+          </form>
+        </div>
+
+        <div className="my-6 space-y-4">
+          {/* Payment Portal */}
+
+          <h3 className="text-lg font-medium">Manage Your Payment Methods</h3>
+          <p className="text-neutral-600">
+            You can manage your cards and see your payment history in the
+            billing portal.
+          </p>
+          <Button
+            type="submit"
+            className="w-full"
+            onClick={() => openBillingPortal()}
+          >
+            Open Portal
+          </Button>
+
+          {/* Transaction History */}
+          <h3 className="text-lg font-medium">Transaction History</h3>
+          <p className="text-neutral-600">
+            Running balance might not be ordered accurately when concurrent
+            executions are happening.
+          </p>
+          {transactionHistory.transactions.length === 0 && (
+            <p className="text-neutral-600">No transactions found.</p>
+          )}
+          <Table
+            className={
+              transactionHistory.transactions.length === 0 ? "hidden" : ""
+            }
+          >
+            <TableHeader>
+              <TableRow>
+                <TableHead>Date</TableHead>
+                <TableHead>Description</TableHead>
+                <TableHead>Amount</TableHead>
+                <TableHead>Balance</TableHead>
+              </TableRow>
+            </TableHeader>
+            <TableBody>
+              {transactionHistory.transactions.map((transaction, i) => (
+                <TableRow key={i}>
+                  <TableCell>
+                    {new Date(transaction.transaction_time).toLocaleString(
+                      undefined,
+                      {
+                        month: "short",
+                        day: "numeric",
+                        year: "numeric",
+                        hour: "numeric",
+                        minute: "numeric",
+                      },
+                    )}
+                  </TableCell>
+                  <TableCell>{transaction.description}</TableCell>
+                  {/* Make it green if it's positive, red if it's negative */}
+                  <TableCell
+                    className={
+                      transaction.amount > 0 ? "text-green-500" : "text-red-500"
+                    }
+                  >
+                    <b>{formatCredits(transaction.amount)}</b>
+                  </TableCell>
+                  <TableCell>
+                    {formatCredits(transaction.running_balance)}
+                  </TableCell>
+                </TableRow>
+              ))}
+            </TableBody>
+          </Table>
+          {transactionHistory.next_transaction_time && (
+            <Button
+              type="submit"
+              className="w-full"
+              onClick={() => fetchTransactionHistory()}
+            >
+              Load More
+            </Button>
+          )}
+
+          {refundRequests.length > 0 && (
+            <>
+              <h3 className="text-lg font-medium">Your Refund Requests</h3>
+              <Table>
+                <TableHeader>
+                  <TableRow>
+                    <TableHead>Last Updated</TableHead>
+                    <TableHead>Amount</TableHead>
+                    <TableHead>Status</TableHead>
+                    <TableHead>Comment</TableHead>
+                  </TableRow>
+                </TableHeader>
+                <TableBody>
+                  {refundRequests.map((request, i) => (
+                    <TableRow key={i}>
+                      <TableCell>
+                        {new Date(request.updated_at).toLocaleString(
+                          undefined,
+                          {
+                            month: "short",
+                            day: "numeric",
+                            year: "numeric",
+                            hour: "numeric",
+                            minute: "numeric",
+                          },
+                        )}
+                      </TableCell>
+                      <TableCell>{formatCredits(request.amount)}</TableCell>
+                      <TableCell>{request.status}</TableCell>
+                      <TableCell>{request.result}</TableCell>
+                    </TableRow>
+                  ))}
+                </TableBody>
+              </Table>
+            </>
+          )}
+
+          <Button
+            variant="destructive"
+            onClick={() => openRefundModal()}
+            className="w-full"
+          >
+            Request Refund
+          </Button>
+          <RefundModal
+            isOpen={isRefundModalOpen}
+            onClose={() => setIsRefundModalOpen(false)}
+            transactions={topUpTransactions}
+            formatCredits={formatCredits}
+            refundCredits={refundCredits}
+          />
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTable/AgentTable.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTable/AgentTable.tsx
new file mode 100644
index 000000000000..f5a25fc6bca0
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTable/AgentTable.tsx
@@ -0,0 +1,92 @@
+"use client";
+
+import * as React from "react";
+import { AgentTableCard } from "../AgentTableCard/AgentTableCard";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import {
+  AgentTableRow,
+  AgentTableRowProps,
+} from "../AgentTableRow/AgentTableRow";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+
+export interface AgentTableProps {
+  agents: Omit<
+    AgentTableRowProps,
+    | "setSelectedAgents"
+    | "selectedAgents"
+    | "onViewSubmission"
+    | "onDeleteSubmission"
+    | "onEditSubmission"
+  >[];
+  onViewSubmission: (submission: StoreSubmission) => void;
+  onDeleteSubmission: (submission_id: string) => void;
+  onEditSubmission: (
+    submission: StoreSubmissionEditRequest & {
+      store_listing_version_id: string | undefined;
+      agent_id: string;
+    },
+  ) => void;
+}
+
+export const AgentTable: React.FC<AgentTableProps> = ({
+  agents,
+  onViewSubmission,
+  onDeleteSubmission,
+  onEditSubmission,
+}) => {
+  return (
+    <div className="w-full" data-testid="agent-table">
+      {/* Table header - Hide on mobile */}
+      <div className="hidden flex-col md:flex">
+        <div className="border-t border-neutral-300 dark:border-neutral-700" />
+        <div className="flex items-center px-4 py-2">
+          <div className="grid w-full grid-cols-[minmax(400px,1fr),180px,140px,100px,100px,40px] items-center gap-4">
+            <div className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
+              Agent info
+            </div>
+            <div className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
+              Date submitted
+            </div>
+            <div className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
+              Status
+            </div>
+            <div className="text-right text-sm font-medium text-neutral-800 dark:text-neutral-200">
+              Runs
+            </div>
+            <div className="text-right text-sm font-medium text-neutral-800 dark:text-neutral-200">
+              Reviews
+            </div>
+            <div></div>
+          </div>
+        </div>
+        <div className="border-b border-neutral-300 dark:border-neutral-700" />
+      </div>
+
+      {/* Table body */}
+      {agents.length > 0 ? (
+        <div className="flex flex-col">
+          {agents.map((agent) => (
+            <div key={agent.id} className="md:block">
+              <AgentTableRow
+                {...agent}
+                onViewSubmission={onViewSubmission}
+                onDeleteSubmission={onDeleteSubmission}
+                onEditSubmission={onEditSubmission}
+              />
+              <div className="block md:hidden">
+                <AgentTableCard
+                  {...agent}
+                  onViewSubmission={onViewSubmission}
+                />
+              </div>
+            </div>
+          ))}
+        </div>
+      ) : (
+        <div className="py-4 text-center font-sans text-base text-neutral-600 dark:text-neutral-400">
+          No agents available. Create your first agent to get started!
+        </div>
+      )}
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableCard/AgentTableCard.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableCard/AgentTableCard.tsx
new file mode 100644
index 000000000000..1c078eea7dbe
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableCard/AgentTableCard.tsx
@@ -0,0 +1,97 @@
+"use client";
+
+import Image from "next/image";
+import { IconStarFilled, IconMore } from "@/components/ui/icons";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { SubmissionStatus } from "@/app/api/__generated__/models/submissionStatus";
+import { Status } from "@/components/agptui/Status";
+
+export interface AgentTableCardProps {
+  agent_id: string;
+  agent_version: number;
+  agentName: string;
+  sub_heading: string;
+  description: string;
+  imageSrc: string[];
+  dateSubmitted: Date;
+  status: SubmissionStatus;
+  runs: number;
+  rating: number;
+  id: number;
+  onViewSubmission: (submission: StoreSubmission) => void;
+}
+
+export const AgentTableCard = ({
+  agent_id,
+  agent_version,
+  agentName,
+  sub_heading,
+  description,
+  imageSrc,
+  dateSubmitted,
+  status,
+  runs,
+  rating,
+  onViewSubmission,
+}: AgentTableCardProps) => {
+  const onView = () => {
+    onViewSubmission({
+      agent_id,
+      agent_version,
+      slug: "",
+      name: agentName,
+      sub_heading,
+      description,
+      image_urls: imageSrc,
+      date_submitted: dateSubmitted,
+      status: status,
+      runs,
+      rating,
+    });
+  };
+
+  return (
+    <div className="border-b border-neutral-300 p-4 dark:border-neutral-700">
+      <div className="flex gap-4">
+        <div className="relative aspect-video w-24 shrink-0 overflow-hidden rounded-lg bg-[#d9d9d9] dark:bg-neutral-800">
+          <Image
+            src={imageSrc?.[0] ?? "/nada.png"}
+            alt={agentName}
+            fill
+            style={{ objectFit: "cover" }}
+          />
+        </div>
+        <div className="flex-1">
+          <h3 className="text-[15px] font-medium text-neutral-800 dark:text-neutral-200">
+            {agentName}
+          </h3>
+          <p className="line-clamp-2 text-sm text-neutral-600 dark:text-neutral-400">
+            {description}
+          </p>
+        </div>
+        <button
+          onClick={onView}
+          className="h-fit rounded-full p-1 hover:bg-neutral-100 dark:hover:bg-neutral-700"
+        >
+          <IconMore className="h-5 w-5 text-neutral-800 dark:text-neutral-200" />
+        </button>
+      </div>
+
+      <div className="mt-4 flex flex-wrap gap-4">
+        <Status status={status} />
+        <div className="text-sm text-neutral-600 dark:text-neutral-400">
+          {dateSubmitted.toLocaleDateString()}
+        </div>
+        <div className="text-sm text-neutral-600 dark:text-neutral-400">
+          {runs.toLocaleString()} runs
+        </div>
+        <div className="flex items-center gap-1">
+          <span className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
+            {rating.toFixed(1)}
+          </span>
+          <IconStarFilled className="h-4 w-4 text-neutral-800 dark:text-neutral-200" />
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableRow/AgentTableRow.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableRow/AgentTableRow.tsx
new file mode 100644
index 000000000000..855c4d2f990a
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableRow/AgentTableRow.tsx
@@ -0,0 +1,197 @@
+"use client";
+
+import Image from "next/image";
+import { Text } from "@/components/atoms/Text/Text";
+
+import * as DropdownMenu from "@radix-ui/react-dropdown-menu";
+import { Status } from "@/components/agptui/Status";
+import { useAgentTableRow } from "./useAgentTableRow";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import {
+  DotsThreeVerticalIcon,
+  Eye,
+  ImageBroken,
+  Star,
+  Trash,
+  PencilSimple,
+} from "@phosphor-icons/react/dist/ssr";
+import { SubmissionStatus } from "@/app/api/__generated__/models/submissionStatus";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+
+export interface AgentTableRowProps {
+  agent_id: string;
+  agent_version: number;
+  agentName: string;
+  sub_heading: string;
+  description: string;
+  imageSrc: string[];
+  dateSubmitted: Date;
+  status: SubmissionStatus;
+  runs: number;
+  rating: number;
+  id: number;
+  video_url?: string;
+  categories?: string[];
+  store_listing_version_id?: string;
+  onViewSubmission: (submission: StoreSubmission) => void;
+  onDeleteSubmission: (submission_id: string) => void;
+  onEditSubmission: (
+    submission: StoreSubmissionEditRequest & {
+      store_listing_version_id: string | undefined;
+      agent_id: string;
+    },
+  ) => void;
+}
+
+export const AgentTableRow = ({
+  agent_id,
+  agent_version,
+  agentName,
+  sub_heading,
+  description,
+  imageSrc,
+  dateSubmitted,
+  status,
+  runs,
+  rating,
+  id,
+  video_url,
+  categories,
+  store_listing_version_id,
+  onViewSubmission,
+  onDeleteSubmission,
+  onEditSubmission,
+}: AgentTableRowProps) => {
+  const { handleView, handleDelete, handleEdit } = useAgentTableRow({
+    id,
+    onViewSubmission,
+    onDeleteSubmission,
+    onEditSubmission,
+    agent_id,
+    agent_version,
+    agentName,
+    sub_heading,
+    description,
+    imageSrc,
+    dateSubmitted,
+    status,
+    runs,
+    rating,
+    video_url,
+    categories,
+    store_listing_version_id,
+  });
+
+  // Determine if we should show Edit or View button
+  const canEdit =
+    status === SubmissionStatus.APPROVED || status === SubmissionStatus.PENDING;
+
+  return (
+    <div
+      data-testid="agent-table-row"
+      data-agent-id={agent_id}
+      data-submission-id={store_listing_version_id}
+      className="hidden items-center border-b border-neutral-300 px-4 py-4 hover:bg-neutral-50 dark:border-neutral-700 dark:hover:bg-neutral-800 md:flex"
+    >
+      <div className="grid w-full grid-cols-[minmax(400px,1fr),180px,140px,100px,100px,40px] items-center gap-4">
+        {/* Agent info column */}
+        <div className="flex items-center gap-4">
+          {imageSrc?.[0] ? (
+            <div className="relative aspect-video w-32 shrink-0 overflow-hidden rounded-[10px] bg-zinc-100">
+              <Image
+                src={imageSrc?.[0] ?? ""}
+                alt={agentName}
+                fill
+                style={{ objectFit: "cover" }}
+              />
+            </div>
+          ) : (
+            <div className="flex aspect-video w-32 shrink-0 items-center justify-center overflow-hidden rounded-[10px] bg-zinc-100">
+              <ImageBroken className="h-8 w-8 text-zinc-800" />
+            </div>
+          )}
+          <div className="flex flex-col">
+            <Text
+              variant="h3"
+              className="line-clamp-1 text-ellipsis text-neutral-800 dark:text-neutral-200"
+              size="large-medium"
+            >
+              {agentName}
+            </Text>
+            <Text
+              variant="body"
+              className="line-clamp-1 text-ellipsis text-neutral-600 dark:text-neutral-400"
+            >
+              {description}
+            </Text>
+          </div>
+        </div>
+
+        {/* Date column */}
+        <div className="text-sm text-neutral-600 dark:text-neutral-400">
+          {dateSubmitted.toLocaleDateString()}
+        </div>
+
+        {/* Status column */}
+        <div data-testid="agent-status">
+          <Status status={status} />
+        </div>
+
+        {/* Runs column */}
+        <div className="text-right text-sm text-neutral-600 dark:text-neutral-400">
+          {runs?.toLocaleString() ?? "0"}
+        </div>
+
+        {/* Reviews column */}
+        <div className="text-right">
+          {rating ? (
+            <div className="flex items-center justify-end gap-1">
+              <span className="text-sm font-medium">{rating.toFixed(1)}</span>
+              <Star weight="fill" className="h-2 w-2" />
+            </div>
+          ) : (
+            <span className="text-sm text-neutral-600 dark:text-neutral-400">
+              No reviews
+            </span>
+          )}
+        </div>
+
+        {/* Actions - Three dots menu */}
+        <div className="flex justify-end">
+          <DropdownMenu.Root>
+            <DropdownMenu.Trigger data-testid="agent-table-row-actions">
+              <DotsThreeVerticalIcon className="h-5 w-5 text-neutral-800" />
+            </DropdownMenu.Trigger>
+            <DropdownMenu.Content className="z-10 rounded-xl border bg-white p-1 shadow-md dark:bg-gray-800">
+              {canEdit ? (
+                <DropdownMenu.Item
+                  onSelect={handleEdit}
+                  className="flex cursor-pointer items-center rounded-md px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700"
+                >
+                  <PencilSimple className="mr-2 h-4 w-4 dark:text-gray-100" />
+                  <span className="dark:text-gray-100">Edit</span>
+                </DropdownMenu.Item>
+              ) : (
+                <DropdownMenu.Item
+                  onSelect={handleView}
+                  className="flex cursor-pointer items-center rounded-md px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700"
+                >
+                  <Eye className="mr-2 h-4 w-4 dark:text-gray-100" />
+                  <span className="dark:text-gray-100">View</span>
+                </DropdownMenu.Item>
+              )}
+              <DropdownMenu.Separator className="my-1 h-px bg-gray-300 dark:bg-gray-600" />
+              <DropdownMenu.Item
+                onSelect={handleDelete}
+                className="flex cursor-pointer items-center rounded-md px-3 py-2 text-red-500 hover:bg-gray-100 dark:hover:bg-gray-700"
+              >
+                <Trash className="mr-2 h-4 w-4 text-red-500 dark:text-red-400" />
+                <span className="dark:text-red-400">Delete</span>
+              </DropdownMenu.Item>
+            </DropdownMenu.Content>
+          </DropdownMenu.Root>
+        </div>
+      </div>
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableRow/useAgentTableRow.ts b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableRow/useAgentTableRow.ts
new file mode 100644
index 000000000000..7014eec198e3
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/AgentTableRow/useAgentTableRow.ts
@@ -0,0 +1,86 @@
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+import { SubmissionStatus } from "@/app/api/__generated__/models/submissionStatus";
+
+interface useAgentTableRowProps {
+  id: number;
+  onViewSubmission: (submission: StoreSubmission) => void;
+  onDeleteSubmission: (submission_id: string) => void;
+  onEditSubmission: (
+    submission: StoreSubmissionEditRequest & {
+      store_listing_version_id: string | undefined;
+      agent_id: string;
+    },
+  ) => void;
+  agent_id: string;
+  agent_version: number;
+  agentName: string;
+  sub_heading: string;
+  description: string;
+  imageSrc: string[];
+  dateSubmitted: Date;
+  status: SubmissionStatus;
+  runs: number;
+  rating: number;
+  video_url?: string;
+  categories?: string[];
+  store_listing_version_id?: string;
+}
+
+export const useAgentTableRow = ({
+  onViewSubmission,
+  onDeleteSubmission,
+  onEditSubmission,
+  agent_id,
+  agent_version,
+  agentName,
+  sub_heading,
+  description,
+  imageSrc,
+  dateSubmitted,
+  status,
+  runs,
+  rating,
+  video_url,
+  categories,
+  store_listing_version_id,
+}: useAgentTableRowProps) => {
+  const handleView = () => {
+    onViewSubmission({
+      agent_id,
+      agent_version,
+      slug: "",
+      name: agentName,
+      sub_heading,
+      description,
+      image_urls: imageSrc,
+      date_submitted: dateSubmitted,
+      status: status,
+      runs,
+      rating,
+      video_url,
+      categories,
+      store_listing_version_id,
+    } satisfies StoreSubmission);
+  };
+
+  const handleEdit = () => {
+    onEditSubmission({
+      name: agentName,
+      sub_heading,
+      description,
+      image_urls: imageSrc,
+      video_url,
+      categories,
+      changes_summary: "Update Submission",
+      store_listing_version_id,
+      agent_id,
+    });
+  };
+
+  const handleDelete = () => {
+    onDeleteSubmission(agent_id);
+  };
+
+  return { handleView, handleDelete, handleEdit };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/MainDashboardPage.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/MainDashboardPage.tsx
new file mode 100644
index 000000000000..9b10ecf0883b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/MainDashboardPage.tsx
@@ -0,0 +1,119 @@
+import { useMainDashboardPage } from "./useMainDashboardPage";
+import { Separator } from "@/components/ui/separator";
+import { AgentTable } from "../AgentTable/AgentTable";
+import { PublishAgentModal } from "@/components/contextual/PublishAgentModal/PublishAgentModal";
+import { EditAgentModal } from "@/components/contextual/EditAgentModal/EditAgentModal";
+import { Button } from "@/components/atoms/Button/Button";
+import { EmptySubmissions } from "./components/EmptySubmissions";
+import { SubmissionLoadError } from "./components/SumbmissionLoadError";
+import { SubmissionsLoading } from "./components/SubmissionsLoading";
+import { Text } from "@/components/atoms/Text/Text";
+
+export const MainDashboardPage = () => {
+  const {
+    onDeleteSubmission,
+    onViewSubmission,
+    onEditSubmission,
+    onEditSuccess,
+    onEditClose,
+    onOpenSubmitModal,
+    onPublishStateChange,
+    publishState,
+    editState,
+    // API data
+    submissions,
+    isLoading,
+    error,
+  } = useMainDashboardPage();
+
+  return (
+    <main className="flex-1 py-8">
+      {/* Header Section */}
+      <div className="mb-8 flex flex-col gap-4 md:flex-row md:items-end md:justify-between">
+        <div className="space-y-6">
+          <Text variant="h1" size="h3">
+            Agent dashboard
+          </Text>
+          <div className="space-y-2">
+            <Text
+              variant="h2"
+              size="large-medium"
+              className="text-neutral-900 dark:text-neutral-100"
+            >
+              Submit a New Agent
+            </Text>
+            <Text variant="body" size="small">
+              Select from the list of agents you currently have, or upload from
+              your local machine.
+            </Text>
+          </div>
+        </div>
+        <PublishAgentModal
+          targetState={publishState}
+          onStateChange={onPublishStateChange}
+          trigger={
+            <Button
+              data-testid="submit-agent-button"
+              size="small"
+              onClick={onOpenSubmitModal}
+            >
+              Submit agent
+            </Button>
+          }
+        />
+      </div>
+
+      <Separator className="mb-8" />
+
+      {/* Agents Section */}
+      <div>
+        <Text
+          variant="h2"
+          size="large-medium"
+          className="mb-4 text-neutral-900 dark:text-neutral-100"
+        >
+          Your uploaded agents
+        </Text>
+
+        {error ? (
+          <SubmissionLoadError />
+        ) : isLoading ? (
+          <SubmissionsLoading />
+        ) : submissions && submissions.submissions.length > 0 ? (
+          <AgentTable
+            agents={submissions.submissions.map((submission, index) => ({
+              id: index,
+              agent_id: submission.agent_id,
+              agent_version: submission.agent_version,
+              sub_heading: submission.sub_heading,
+              agentName: submission.name,
+              description: submission.description,
+              imageSrc: submission.image_urls || [""],
+              dateSubmitted: submission.date_submitted,
+              status: submission.status,
+              runs: submission.runs,
+              rating: submission.rating,
+              video_url: submission.video_url || undefined,
+              categories: submission.categories,
+              slug: submission.slug,
+              store_listing_version_id:
+                submission.store_listing_version_id || undefined,
+            }))}
+            onViewSubmission={onViewSubmission}
+            onDeleteSubmission={onDeleteSubmission}
+            onEditSubmission={onEditSubmission}
+          />
+        ) : (
+          <EmptySubmissions />
+        )}
+      </div>
+
+      <EditAgentModal
+        isOpen={editState.isOpen}
+        onClose={onEditClose}
+        submission={editState.submission}
+        onSuccess={onEditSuccess}
+      />
+    </main>
+  );
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/EmptySubmissions.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/EmptySubmissions.tsx
new file mode 100644
index 000000000000..d0841f01382e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/EmptySubmissions.tsx
@@ -0,0 +1,30 @@
+import { Tray } from "@phosphor-icons/react/dist/ssr";
+import { Text } from "@/components/atoms/Text/Text";
+
+export function EmptySubmissions() {
+  return (
+    <div className="flex min-h-[400px] flex-col items-center justify-center rounded-lg border border-neutral-200 bg-neutral-50 dark:border-neutral-700 dark:bg-neutral-800/50">
+      <div className="flex flex-col items-center gap-4 text-center">
+        <div className="rounded-full bg-neutral-100 p-3 dark:bg-neutral-700">
+          <Tray className="h-8 w-8 text-neutral-500 dark:text-neutral-400" />
+        </div>
+        <div className="space-y-2">
+          <Text
+            variant="large-medium"
+            className="text-neutral-900 dark:text-neutral-100"
+          >
+            No agents submitted yet
+          </Text>
+          <Text
+            variant="body"
+            className="text-neutral-600 dark:text-neutral-400"
+          >
+            You haven&apos;t submitted any agents to the store yet.
+            <br />
+            Click &ldquo;Submit agent&rdquo; above to get started.
+          </Text>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/SubmissionsLoading.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/SubmissionsLoading.tsx
new file mode 100644
index 000000000000..68b2d47b04ee
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/SubmissionsLoading.tsx
@@ -0,0 +1,27 @@
+import { Skeleton } from "@/components/ui/skeleton";
+
+export function SubmissionsLoading() {
+  return (
+    <div className="space-y-4">
+      {Array.from({ length: 3 }).map((_, i) => (
+        <div
+          key={i}
+          className="rounded-lg border border-neutral-200 p-4 dark:border-neutral-700"
+        >
+          <div className="flex items-center gap-4">
+            <Skeleton className="h-16 w-16 rounded-lg" />
+            <div className="flex-1 space-y-2">
+              <Skeleton className="h-5 w-3/4" />
+              <Skeleton className="h-4 w-1/2" />
+              <Skeleton className="h-4 w-1/4" />
+            </div>
+            <div className="flex gap-2">
+              <Skeleton className="h-8 w-16" />
+              <Skeleton className="h-8 w-16" />
+            </div>
+          </div>
+        </div>
+      ))}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/SumbmissionLoadError.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/SumbmissionLoadError.tsx
new file mode 100644
index 000000000000..70184b7c5aa3
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/components/SumbmissionLoadError.tsx
@@ -0,0 +1,36 @@
+import { Tray } from "@phosphor-icons/react";
+import { Text } from "@/components/atoms/Text/Text";
+import { Button } from "@/components/atoms/Button/Button";
+
+export function SubmissionLoadError() {
+  return (
+    <div className="flex min-h-[400px] flex-col items-center justify-center rounded-lg border border-neutral-200 bg-neutral-50 dark:border-neutral-700 dark:bg-neutral-800/50">
+      <div className="flex flex-col items-center gap-4 text-center">
+        <div className="rounded-full bg-red-100 p-3 dark:bg-red-900/20">
+          <Tray className="h-8 w-8 text-red-600 dark:text-red-400" />
+        </div>
+        <div className="space-y-2">
+          <Text
+            variant="large-medium"
+            className="text-neutral-900 dark:text-neutral-100"
+          >
+            Failed to load agents
+          </Text>
+          <Text
+            variant="body"
+            className="text-neutral-600 dark:text-neutral-400"
+          >
+            Something went wrong while loading your submitted agents.
+          </Text>
+        </div>
+        <Button
+          variant="secondary"
+          size="small"
+          onClick={() => window.location.reload()}
+        >
+          Try again
+        </Button>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/useMainDashboardPage.ts b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/useMainDashboardPage.ts
new file mode 100644
index 000000000000..02eef96a5183
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/components/MainDashboardPage/useMainDashboardPage.ts
@@ -0,0 +1,150 @@
+import {
+  getGetV2ListMySubmissionsQueryKey,
+  useDeleteV2DeleteStoreSubmission,
+  useGetV2ListMySubmissions,
+} from "@/app/api/__generated__/endpoints/store/store";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+import { StoreSubmissionsResponse } from "@/app/api/__generated__/models/storeSubmissionsResponse";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { useState } from "react";
+import * as Sentry from "@sentry/nextjs";
+
+type PublishStep = "select" | "info" | "review";
+
+type PublishState = {
+  isOpen: boolean;
+  step: PublishStep;
+  submissionData: StoreSubmission | null;
+};
+
+type EditState = {
+  isOpen: boolean;
+  submission:
+    | (StoreSubmissionEditRequest & {
+        store_listing_version_id: string | undefined;
+        agent_id: string;
+      })
+    | null;
+};
+
+export const useMainDashboardPage = () => {
+  const queryClient = getQueryClient();
+
+  const { user } = useSupabase();
+
+  const [publishState, setPublishState] = useState<PublishState>({
+    isOpen: false,
+    step: "select",
+    submissionData: null,
+  });
+
+  const [editState, setEditState] = useState<EditState>({
+    isOpen: false,
+    submission: null,
+  });
+
+  const { mutateAsync: deleteSubmission } = useDeleteV2DeleteStoreSubmission({
+    mutation: {
+      onSuccess: () => {
+        queryClient.invalidateQueries({
+          queryKey: getGetV2ListMySubmissionsQueryKey(),
+        });
+      },
+    },
+  });
+
+  const {
+    data: submissions,
+    isSuccess,
+    error,
+  } = useGetV2ListMySubmissions(undefined, {
+    query: {
+      select: (x) => {
+        return x.data as StoreSubmissionsResponse;
+      },
+      enabled: !!user,
+    },
+  });
+
+  const onViewSubmission = (submission: StoreSubmission) => {
+    setPublishState({
+      isOpen: true,
+      step: "review",
+      submissionData: submission,
+    });
+  };
+
+  const onEditSubmission = (
+    submission: StoreSubmissionEditRequest & {
+      store_listing_version_id: string | undefined;
+      agent_id: string;
+    },
+  ) => {
+    setEditState({
+      isOpen: true,
+      submission,
+    });
+  };
+
+  const onEditSuccess = async (submission: StoreSubmission) => {
+    try {
+      if (!submission.store_listing_version_id) {
+        Sentry.captureException(
+          new Error("No store listing version ID found for submission"),
+        );
+        return;
+      }
+
+      setEditState({
+        isOpen: false,
+        submission: null,
+      });
+    } catch (error) {
+      Sentry.captureException(error);
+    }
+  };
+
+  const onEditClose = () => {
+    setEditState({
+      isOpen: false,
+      submission: null,
+    });
+  };
+
+  const onDeleteSubmission = async (submission_id: string) => {
+    await deleteSubmission({
+      submissionId: submission_id,
+    });
+  };
+
+  const onOpenSubmitModal = () => {
+    // Always reset to clean state when opening for new submission
+    setPublishState({
+      isOpen: true,
+      step: "select",
+      submissionData: null,
+    });
+  };
+
+  const onPublishStateChange = (newState: PublishState) => {
+    setPublishState(newState);
+  };
+
+  return {
+    onOpenSubmitModal,
+    onPublishStateChange,
+    onDeleteSubmission,
+    onViewSubmission,
+    onEditSubmission,
+    onEditSuccess,
+    onEditClose,
+    publishState,
+    editState,
+    // API data
+    submissions,
+    isLoading: !isSuccess,
+    error,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/page.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/page.tsx
new file mode 100644
index 000000000000..3873ffbf7e1e
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/dashboard/page.tsx
@@ -0,0 +1,7 @@
+"use client";
+
+import { MainDashboardPage } from "./components/MainDashboardPage/MainDashboardPage";
+
+export default function Page() {
+  return <MainDashboardPage />;
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/integrations/page.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/integrations/page.tsx
new file mode 100644
index 000000000000..ab40e693bb92
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/integrations/page.tsx
@@ -0,0 +1,241 @@
+"use client";
+import { Button } from "@/components/ui/button";
+import { useRouter } from "next/navigation";
+import { useCallback, useContext, useEffect, useMemo, useState } from "react";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { IconKey, IconUser } from "@/components/ui/icons";
+import { Trash2Icon } from "lucide-react";
+import { KeyIcon } from "@phosphor-icons/react/dist/ssr";
+import { providerIcons } from "@/components/integrations/credentials-input";
+import { CredentialsProvidersContext } from "@/components/integrations/credentials-provider";
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
+import { CredentialsProviderName } from "@/lib/autogpt-server-api";
+import {
+  AlertDialog,
+  AlertDialogAction,
+  AlertDialogCancel,
+  AlertDialogContent,
+  AlertDialogDescription,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogTitle,
+} from "@/components/ui/alert-dialog";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import LoadingBox from "@/components/ui/loading";
+
+export default function UserIntegrationsPage() {
+  const { supabase, user, isUserLoading } = useSupabase();
+  const router = useRouter();
+  const providers = useContext(CredentialsProvidersContext);
+  const { toast } = useToast();
+
+  const [confirmationDialogState, setConfirmationDialogState] = useState<
+    | {
+        open: true;
+        message: string;
+        onConfirm: () => void;
+        onReject: () => void;
+      }
+    | { open: false }
+  >({ open: false });
+
+  const removeCredentials = useCallback(
+    async (
+      provider: CredentialsProviderName,
+      id: string,
+      force: boolean = false,
+    ) => {
+      if (!providers || !providers[provider]) {
+        return;
+      }
+
+      let result;
+      try {
+        result = await providers[provider].deleteCredentials(id, force);
+      } catch (error: any) {
+        toast({
+          title: "Something went wrong when deleting credentials: " + error,
+          variant: "destructive",
+          duration: 2000,
+        });
+        setConfirmationDialogState({ open: false });
+        return;
+      }
+      if (result.deleted) {
+        if (result.revoked) {
+          toast({
+            title: "Credentials deleted",
+            duration: 2000,
+          });
+        } else {
+          toast({
+            title: "Credentials deleted from AutoGPT",
+            description: `You may also manually remove the connection to AutoGPT at ${provider}!`,
+            duration: 3000,
+          });
+        }
+        setConfirmationDialogState({ open: false });
+      } else if (result.need_confirmation) {
+        setConfirmationDialogState({
+          open: true,
+          message: result.message,
+          onConfirm: () => removeCredentials(provider, id, true),
+          onReject: () => setConfirmationDialogState({ open: false }),
+        });
+      }
+    },
+    [providers, toast],
+  );
+
+  //TODO: remove when the way system credentials are handled is updated
+  // This contains ids for built-in "Use Credits for X" credentials
+  const hiddenCredentials = useMemo(
+    () => [
+      "744fdc56-071a-4761-b5a5-0af0ce10a2b5", // Ollama
+      "fdb7f412-f519-48d1-9b5f-d2f73d0e01fe", // Revid
+      "760f84fc-b270-42de-91f6-08efe1b512d0", // Ideogram
+      "6b9fc200-4726-4973-86c9-cd526f5ce5db", // Replicate
+      "53c25cb8-e3ee-465c-a4d1-e75a4c899c2a", // OpenAI
+      "24e5d942-d9e3-4798-8151-90143ee55629", // Anthropic
+      "aad82a89-9794-4ebb-977f-d736aa5260a3", // AI/ML
+      "4ec22295-8f97-4dd1-b42b-2c6957a02545", // Groq
+      "7f7b0654-c36b-4565-8fa7-9a52575dfae2", // D-ID
+      "7f26de70-ba0d-494e-ba76-238e65e7b45f", // Jina
+      "66f20754-1b81-48e4-91d0-f4f0dd82145f", // Unreal Speech
+      "b5a0e27d-0c98-4df3-a4b9-10193e1f3c40", // Open Router
+      "6c0f5bd0-9008-4638-9d79-4b40b631803e", // FAL
+      "96153e04-9c6c-4486-895f-5bb683b1ecec", // Exa
+      "78d19fd7-4d59-4a16-8277-3ce310acf2b7", // E2B
+      "96b83908-2789-4dec-9968-18f0ece4ceb3", // Nvidia
+      "ed55ac19-356e-4243-a6cb-bc599e9b716f", // Mem0
+      "544c62b5-1d0f-4156-8fb4-9525f11656eb", // Apollo
+      "3bcdbda3-84a3-46af-8fdb-bfd2472298b8", // SmartLead
+      "63a6e279-2dc2-448e-bf57-85776f7176dc", // ZeroBounce
+      "9aa1bde0-4947-4a70-a20c-84daa3850d52", // Google Maps
+      "d44045af-1c33-4833-9e19-752313214de2", // Llama API
+    ],
+    [],
+  );
+
+  useEffect(() => {
+    if (isUserLoading) return;
+    if (!user || !supabase) router.push("/login");
+  }, [isUserLoading, user, supabase, router]);
+
+  if (isUserLoading) {
+    return <LoadingBox className="h-[80vh]" />;
+  }
+
+  const allCredentials = providers
+    ? Object.values(providers)
+        .filter(
+          (provider): provider is NonNullable<typeof provider> =>
+            provider != null,
+        )
+        .flatMap((provider) =>
+          provider.savedCredentials
+            .filter((cred) => !hiddenCredentials.includes(cred.id))
+            .map((credentials) => ({
+              ...credentials,
+              provider: provider.provider,
+              providerName: provider.providerName,
+              ProviderIcon: providerIcons[provider.provider] || KeyIcon,
+              TypeIcon: {
+                oauth2: IconUser,
+                api_key: IconKey,
+                user_password: IconKey,
+                host_scoped: IconKey,
+              }[credentials.type],
+            })),
+        )
+    : [];
+
+  return (
+    <div className="mx-auto max-w-3xl md:py-8">
+      <h2 className="mb-4 text-lg">Connections & Credentials</h2>
+      <Table>
+        <TableHeader>
+          <TableRow>
+            <TableHead>Provider</TableHead>
+            <TableHead>Name</TableHead>
+            <TableHead>Actions</TableHead>
+          </TableRow>
+        </TableHeader>
+        <TableBody>
+          {allCredentials.map((cred) => (
+            <TableRow key={cred.id}>
+              <TableCell>
+                <div className="flex items-center space-x-1.5">
+                  <cred.ProviderIcon className="h-4 w-4" />
+                  <strong>{cred.providerName}</strong>
+                </div>
+              </TableCell>
+              <TableCell>
+                <div className="flex h-full items-center space-x-1.5">
+                  <cred.TypeIcon />
+                  <span>{cred.title || cred.username}</span>
+                </div>
+                <small className="text-muted-foreground">
+                  {
+                    {
+                      oauth2: "OAuth2 credentials",
+                      api_key: "API key",
+                      user_password: "Username & password",
+                      host_scoped: "Host-scoped credentials",
+                    }[cred.type]
+                  }{" "}
+                  - <code>{cred.id}</code>
+                </small>
+              </TableCell>
+              <TableCell className="w-0 whitespace-nowrap">
+                <Button
+                  variant="destructive"
+                  onClick={() => removeCredentials(cred.provider, cred.id)}
+                >
+                  <Trash2Icon className="mr-1.5 size-4" /> Delete
+                </Button>
+              </TableCell>
+            </TableRow>
+          ))}
+        </TableBody>
+      </Table>
+
+      <AlertDialog open={confirmationDialogState.open}>
+        <AlertDialogContent>
+          <AlertDialogHeader>
+            <AlertDialogTitle>Are you sure?</AlertDialogTitle>
+            <AlertDialogDescription>
+              {confirmationDialogState.open && confirmationDialogState.message}
+            </AlertDialogDescription>
+          </AlertDialogHeader>
+          <AlertDialogFooter>
+            <AlertDialogCancel
+              onClick={() =>
+                confirmationDialogState.open &&
+                confirmationDialogState.onReject()
+              }
+            >
+              Cancel
+            </AlertDialogCancel>
+            <AlertDialogAction
+              variant="destructive"
+              onClick={() =>
+                confirmationDialogState.open &&
+                confirmationDialogState.onConfirm()
+              }
+            >
+              Continue
+            </AlertDialogAction>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialog>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/layout.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/layout.tsx
new file mode 100644
index 000000000000..06b9cff300e1
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/layout.tsx
@@ -0,0 +1,60 @@
+import * as React from "react";
+import { Sidebar } from "@/components/agptui/Sidebar";
+import {
+  IconDashboardLayout,
+  IconIntegrations,
+  IconProfile,
+  IconSliders,
+  IconCoin,
+} from "@/components/ui/icons";
+import { KeyIcon } from "lucide-react";
+
+export default function Layout({ children }: { children: React.ReactNode }) {
+  const sidebarLinkGroups = [
+    {
+      links: [
+        {
+          text: "Creator Dashboard",
+          href: "/profile/dashboard",
+          icon: <IconDashboardLayout className="h-6 w-6" />,
+        },
+        ...(process.env.NEXT_PUBLIC_SHOW_BILLING_PAGE === "true"
+          ? [
+              {
+                text: "Billing",
+                href: "/profile/credits",
+                icon: <IconCoin className="h-6 w-6" />,
+              },
+            ]
+          : []),
+        {
+          text: "Integrations",
+          href: "/profile/integrations",
+          icon: <IconIntegrations className="h-6 w-6" />,
+        },
+        {
+          text: "API Keys",
+          href: "/profile/api_keys",
+          icon: <KeyIcon className="h-6 w-6" />,
+        },
+        {
+          text: "Profile",
+          href: "/profile",
+          icon: <IconProfile className="h-6 w-6" />,
+        },
+        {
+          text: "Settings",
+          href: "/profile/settings",
+          icon: <IconSliders className="h-6 w-6" />,
+        },
+      ],
+    },
+  ];
+
+  return (
+    <div className="flex min-h-screen w-screen max-w-[1360px] flex-col lg:flex-row">
+      <Sidebar linkGroups={sidebarLinkGroups} />
+      <div className="flex-1 pl-4">{children}</div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/page.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/page.tsx
new file mode 100644
index 000000000000..863a6cab1f02
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/page.tsx
@@ -0,0 +1,28 @@
+import React from "react";
+import { Metadata } from "next/types";
+import { redirect } from "next/navigation";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { ProfileInfoForm } from "@/components/agptui/ProfileInfoForm";
+
+// Force dynamic rendering to avoid static generation issues with cookies
+export const dynamic = "force-dynamic";
+
+export const metadata: Metadata = { title: "Profile - AutoGPT Platform" };
+
+export default async function UserProfilePage(): Promise<React.ReactElement> {
+  const api = new BackendAPI();
+  const profile = await api.getStoreProfile().catch((error) => {
+    console.error("Error fetching profile:", error);
+    return null;
+  });
+
+  if (!profile) {
+    redirect("/login");
+  }
+
+  return (
+    <div className="flex flex-col items-center justify-center px-4">
+      <ProfileInfoForm profile={profile} />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/SettingsForm.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/SettingsForm.tsx
new file mode 100644
index 000000000000..89f4e4683448
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/SettingsForm.tsx
@@ -0,0 +1,30 @@
+"use client";
+
+import { Separator } from "@/components/ui/separator";
+import { NotificationPreference } from "@/app/api/__generated__/models/notificationPreference";
+import { User } from "@supabase/supabase-js";
+import { EmailForm } from "./components/EmailForm/EmailForm";
+import { NotificationForm } from "./components/NotificationForm/NotificationForm";
+import { TimezoneForm } from "./components/TimezoneForm/TimezoneForm";
+
+type SettingsFormProps = {
+  preferences: NotificationPreference;
+  user: User;
+  timezone?: string;
+};
+
+export function SettingsForm({
+  preferences,
+  user,
+  timezone,
+}: SettingsFormProps) {
+  return (
+    <div className="flex flex-col gap-8">
+      <EmailForm user={user} />
+      <Separator />
+      <TimezoneForm user={user} currentTimezone={timezone} />
+      <Separator />
+      <NotificationForm preferences={preferences} user={user} />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/EmailForm.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/EmailForm.tsx
new file mode 100644
index 000000000000..fda46b41cc54
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/EmailForm.tsx
@@ -0,0 +1,72 @@
+"use client";
+
+import { Form, FormControl, FormField, FormItem } from "@/components/ui/form";
+import { Input } from "@/components/atoms/Input/Input";
+import { Text } from "@/components/atoms/Text/Text";
+import { Button } from "@/components/atoms/Button/Button";
+import { User } from "@supabase/supabase-js";
+import { useEmailForm } from "./useEmailForm";
+
+type EmailFormProps = {
+  user: User;
+};
+
+export function EmailForm({ user }: EmailFormProps) {
+  const { form, onSubmit, isLoading, currentEmail } = useEmailForm({ user });
+
+  const hasError = Object.keys(form.formState.errors).length > 0;
+  const isSameEmail = form.watch("email") === currentEmail;
+
+  return (
+    <div>
+      <Text variant="h3" size="large-semibold">
+        Security & Access
+      </Text>
+      <Form {...form}>
+        <form
+          onSubmit={form.handleSubmit(onSubmit)}
+          className="mt-6 flex flex-col gap-4"
+        >
+          <FormField
+            control={form.control}
+            name="email"
+            render={({ field, fieldState }) => (
+              <FormItem>
+                <FormControl>
+                  <Input
+                    id={field.name}
+                    label="Email"
+                    placeholder="m@example.com"
+                    type="text"
+                    autoComplete="off"
+                    className="w-full"
+                    error={fieldState.error?.message}
+                    {...field}
+                  />
+                </FormControl>
+              </FormItem>
+            )}
+          />
+          <div className="flex items-center gap-4">
+            <Button
+              variant="outline"
+              as="NextLink"
+              href="/reset-password"
+              className="min-w-[10rem]"
+            >
+              Reset password
+            </Button>
+            <Button
+              type="submit"
+              disabled={hasError || isSameEmail}
+              loading={isLoading}
+              className="min-w-[10rem]"
+            >
+              {isLoading ? "Saving..." : "Update email"}
+            </Button>
+          </div>
+        </form>
+      </Form>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/actions.ts b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/actions.ts
new file mode 100644
index 000000000000..95ffb9139f7b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/actions.ts
@@ -0,0 +1,10 @@
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+
+export async function updateSupabaseUserEmail(email: string) {
+  const supabase = await getServerSupabase();
+  const { data, error } = await supabase.auth.updateUser({
+    email,
+  });
+
+  return { data, error };
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/useEmailForm.ts b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/useEmailForm.ts
new file mode 100644
index 000000000000..b6a6d1074b4c
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/EmailForm/useEmailForm.ts
@@ -0,0 +1,92 @@
+"use client";
+
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { User } from "@supabase/supabase-js";
+import { usePostV1UpdateUserEmail } from "@/app/api/__generated__/endpoints/auth/auth";
+
+const emailFormSchema = z.object({
+  email: z
+    .string()
+    .min(1, "Email is required")
+    .email("Please enter a valid email address"),
+});
+
+function createEmailDefaultValues(user: { email?: string }) {
+  return {
+    email: user.email || "",
+  };
+}
+
+async function updateUserEmailAPI(email: string) {
+  const response = await fetch("/api/auth/user", {
+    method: "PUT",
+    headers: {
+      "Content-Type": "application/json",
+    },
+    body: JSON.stringify({ email }),
+  });
+
+  if (!response.ok) {
+    const error = await response.json();
+    throw new Error(error.error || "Failed to update email");
+  }
+
+  return response.json();
+}
+
+export function useEmailForm({ user }: { user: User }) {
+  const { toast } = useToast();
+  const defaultValues = createEmailDefaultValues(user);
+  const currentEmail = user.email;
+
+  const form = useForm<z.infer<typeof emailFormSchema>>({
+    resolver: zodResolver(emailFormSchema),
+    defaultValues,
+    mode: "onSubmit",
+  });
+
+  const updateEmailMutation = usePostV1UpdateUserEmail({
+    mutation: {
+      onError: (error) => {
+        toast({
+          title: "Error updating email",
+          description:
+            error instanceof Error ? error.message : "Failed to update email",
+          variant: "destructive",
+        });
+      },
+    },
+  });
+
+  async function onSubmit(values: z.infer<typeof emailFormSchema>) {
+    try {
+      if (values.email !== user.email) {
+        await Promise.all([
+          updateUserEmailAPI(values.email),
+          updateEmailMutation.mutateAsync({ data: values.email }),
+        ]);
+
+        toast({
+          title: "Successfully updated email",
+        });
+      }
+    } catch (error) {
+      toast({
+        title: "Error updating email",
+        description:
+          error instanceof Error ? error.message : "Something went wrong",
+        variant: "destructive",
+      });
+    }
+  }
+
+  return {
+    form,
+    onSubmit,
+    isLoading: updateEmailMutation.isPending,
+    currentEmail,
+  };
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/NotificationForm/NotificationForm.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/NotificationForm/NotificationForm.tsx
new file mode 100644
index 000000000000..f0f4d01ab715
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/NotificationForm/NotificationForm.tsx
@@ -0,0 +1,314 @@
+"use client";
+
+import { Form, FormControl, FormField, FormItem } from "@/components/ui/form";
+import { Switch } from "@/components/ui/switch";
+import { Text } from "@/components/atoms/Text/Text";
+import { Button } from "@/components/atoms/Button/Button";
+import { NotificationPreference } from "@/app/api/__generated__/models/notificationPreference";
+import { User } from "@supabase/supabase-js";
+import { useNotificationForm } from "./useNotificationForm";
+
+type NotificationFormProps = {
+  preferences: NotificationPreference;
+  user: User;
+};
+
+export function NotificationForm({ preferences, user }: NotificationFormProps) {
+  const { form, onSubmit, onCancel, isLoading } = useNotificationForm({
+    preferences,
+    user,
+  });
+
+  return (
+    <div>
+      <Text variant="h3" size="large-semibold">
+        Notifications
+      </Text>
+      <Form {...form}>
+        <form
+          onSubmit={form.handleSubmit(onSubmit)}
+          className="mt-6 flex flex-col gap-10"
+        >
+          {/* Agent Notifications */}
+          <div className="flex flex-col gap-6">
+            <Text variant="h4" size="body-medium" className="text-slate-400">
+              Agent Notifications
+            </Text>
+            <FormField
+              control={form.control}
+              name="notifyOnAgentRun"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Agent Run Notifications
+                    </Text>
+                    <Text variant="body">
+                      Receive notifications when an agent starts or completes a
+                      run
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="notifyOnBlockExecutionFailed"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Block Execution Failures
+                    </Text>
+                    <Text variant="body">
+                      Get notified when a block execution fails during agent
+                      runs
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="notifyOnContinuousAgentError"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Continuous Agent Errors
+                    </Text>
+                    <Text variant="body">
+                      Receive alerts when an agent encounters repeated errors
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+          </div>
+
+          {/* Store Notifications */}
+          <div className="flex flex-col gap-6">
+            <Text variant="h4" size="body-medium" className="text-slate-400">
+              Store Notifications
+            </Text>
+            <FormField
+              control={form.control}
+              name="notifyOnAgentApproved"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Agent Approved
+                    </Text>
+                    <Text variant="body">
+                      Get notified when your submitted agent is approved for the
+                      store
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="notifyOnAgentRejected"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Agent Rejected
+                    </Text>
+                    <Text variant="body">
+                      Receive notifications when your agent submission needs
+                      updates
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+          </div>
+
+          {/* Balance Notifications */}
+          <div className="flex flex-col gap-4">
+            <Text variant="h4" size="body-medium" className="text-slate-400">
+              Balance Notifications
+            </Text>
+            <FormField
+              control={form.control}
+              name="notifyOnZeroBalance"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Zero Balance Alert
+                    </Text>
+                    <Text variant="body">
+                      Get notified when your account balance reaches zero
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="notifyOnLowBalance"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Low Balance Warning
+                    </Text>
+                    <Text variant="body">
+                      Receive warnings when your balance is running low
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+          </div>
+
+          {/* Summary Reports */}
+          <div className="flex flex-col gap-4">
+            <Text variant="h4" size="body-medium" className="text-slate-400">
+              Summary reports
+            </Text>
+            <FormField
+              control={form.control}
+              name="notifyOnDailySummary"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-1">
+                    <Text variant="h4" size="body-medium">
+                      Daily Summary
+                    </Text>
+                    <Text variant="body">
+                      Receive a daily summary of your account activity
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="notifyOnWeeklySummary"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Weekly Summary
+                    </Text>
+                    <Text variant="body">
+                      Get a weekly overview of your account performance
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="notifyOnMonthlySummary"
+              render={({ field }) => (
+                <FormItem className="flex flex-row items-center justify-between">
+                  <div className="space-y-0.5">
+                    <Text variant="h4" size="body-medium">
+                      Monthly Summary
+                    </Text>
+                    <Text variant="body">
+                      Receive a comprehensive monthly report of your account
+                    </Text>
+                  </div>
+                  <FormControl>
+                    <Switch
+                      checked={field.value}
+                      onCheckedChange={field.onChange}
+                    />
+                  </FormControl>
+                </FormItem>
+              )}
+            />
+          </div>
+
+          {/* Form Actions */}
+          <div className="flex justify-end gap-4 pt-8">
+            <Button
+              variant="outline"
+              type="button"
+              onClick={onCancel}
+              disabled={isLoading}
+              className="min-w-[10rem]"
+            >
+              Cancel
+            </Button>
+            <Button
+              type="submit"
+              disabled={isLoading || !form.formState.isDirty}
+              className="min-w-[10rem]"
+              loading={isLoading}
+            >
+              {isLoading ? "Saving..." : "Save preferences"}
+            </Button>
+          </div>
+        </form>
+      </Form>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/NotificationForm/useNotificationForm.ts b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/NotificationForm/useNotificationForm.ts
new file mode 100644
index 000000000000..5e998344ec04
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/NotificationForm/useNotificationForm.ts
@@ -0,0 +1,120 @@
+"use client";
+
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { NotificationPreference } from "@/app/api/__generated__/models/notificationPreference";
+import { User } from "@supabase/supabase-js";
+import { usePostV1UpdateNotificationPreferences } from "@/app/api/__generated__/endpoints/auth/auth";
+import { NotificationPreferenceDTO } from "@/lib/autogpt-server-api/types";
+
+const notificationFormSchema = z.object({
+  notifyOnAgentRun: z.boolean(),
+  notifyOnZeroBalance: z.boolean(),
+  notifyOnLowBalance: z.boolean(),
+  notifyOnBlockExecutionFailed: z.boolean(),
+  notifyOnContinuousAgentError: z.boolean(),
+  notifyOnDailySummary: z.boolean(),
+  notifyOnWeeklySummary: z.boolean(),
+  notifyOnMonthlySummary: z.boolean(),
+  notifyOnAgentApproved: z.boolean(),
+  notifyOnAgentRejected: z.boolean(),
+});
+
+function createNotificationDefaultValues(preferences: {
+  preferences?: Record<string, boolean>;
+}) {
+  return {
+    notifyOnAgentRun: preferences.preferences?.AGENT_RUN,
+    notifyOnZeroBalance: preferences.preferences?.ZERO_BALANCE,
+    notifyOnLowBalance: preferences.preferences?.LOW_BALANCE,
+    notifyOnBlockExecutionFailed:
+      preferences.preferences?.BLOCK_EXECUTION_FAILED,
+    notifyOnContinuousAgentError:
+      preferences.preferences?.CONTINUOUS_AGENT_ERROR,
+    notifyOnDailySummary: preferences.preferences?.DAILY_SUMMARY,
+    notifyOnWeeklySummary: preferences.preferences?.WEEKLY_SUMMARY,
+    notifyOnMonthlySummary: preferences.preferences?.MONTHLY_SUMMARY,
+    notifyOnAgentApproved: preferences.preferences?.AGENT_APPROVED,
+    notifyOnAgentRejected: preferences.preferences?.AGENT_REJECTED,
+  };
+}
+
+export function useNotificationForm({
+  preferences,
+  user,
+}: {
+  preferences: NotificationPreference;
+  user: User;
+}) {
+  const { toast } = useToast();
+  const defaultValues = createNotificationDefaultValues(preferences);
+
+  const form = useForm<z.infer<typeof notificationFormSchema>>({
+    resolver: zodResolver(notificationFormSchema),
+    defaultValues,
+  });
+
+  const updateNotificationsMutation = usePostV1UpdateNotificationPreferences({
+    mutation: {
+      onError: (error) => {
+        toast({
+          title: "Error updating notifications",
+          description:
+            error instanceof Error
+              ? error.message
+              : "Failed to update notification preferences",
+          variant: "destructive",
+        });
+      },
+    },
+  });
+
+  async function onSubmit(values: z.infer<typeof notificationFormSchema>) {
+    try {
+      const notificationPreferences: NotificationPreferenceDTO = {
+        email: user.email || "",
+        preferences: {
+          AGENT_RUN: values.notifyOnAgentRun,
+          ZERO_BALANCE: values.notifyOnZeroBalance,
+          LOW_BALANCE: values.notifyOnLowBalance,
+          BLOCK_EXECUTION_FAILED: values.notifyOnBlockExecutionFailed,
+          CONTINUOUS_AGENT_ERROR: values.notifyOnContinuousAgentError,
+          DAILY_SUMMARY: values.notifyOnDailySummary,
+          WEEKLY_SUMMARY: values.notifyOnWeeklySummary,
+          MONTHLY_SUMMARY: values.notifyOnMonthlySummary,
+          AGENT_APPROVED: values.notifyOnAgentApproved,
+          AGENT_REJECTED: values.notifyOnAgentRejected,
+        },
+        daily_limit: 0,
+      };
+
+      await updateNotificationsMutation.mutateAsync({
+        data: notificationPreferences,
+      });
+
+      toast({
+        title: "Successfully updated notification preferences",
+      });
+    } catch (error) {
+      toast({
+        title: "Error updating notifications",
+        description:
+          error instanceof Error ? error.message : "Something went wrong",
+        variant: "destructive",
+      });
+    }
+  }
+
+  function onCancel() {
+    form.reset(defaultValues);
+  }
+
+  return {
+    form,
+    onSubmit,
+    onCancel,
+    isLoading: updateNotificationsMutation.isPending,
+  };
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/TimezoneForm/TimezoneForm.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/TimezoneForm/TimezoneForm.tsx
new file mode 100644
index 000000000000..c04955c9f327
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/TimezoneForm/TimezoneForm.tsx
@@ -0,0 +1,126 @@
+"use client";
+
+import * as React from "react";
+import { useTimezoneForm } from "./useTimezoneForm";
+import { User } from "@supabase/supabase-js";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { Button } from "@/components/atoms/Button/Button";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+
+type TimezoneFormProps = {
+  user: User;
+  currentTimezone?: string;
+};
+
+// Common timezones list - can be expanded later
+const TIMEZONES = [
+  { value: "UTC", label: "UTC (Coordinated Universal Time)" },
+  { value: "America/New_York", label: "Eastern Time (US & Canada)" },
+  { value: "America/Chicago", label: "Central Time (US & Canada)" },
+  { value: "America/Denver", label: "Mountain Time (US & Canada)" },
+  { value: "America/Los_Angeles", label: "Pacific Time (US & Canada)" },
+  { value: "America/Phoenix", label: "Arizona (US)" },
+  { value: "America/Anchorage", label: "Alaska (US)" },
+  { value: "Pacific/Honolulu", label: "Hawaii (US)" },
+  { value: "Europe/London", label: "London (UK)" },
+  { value: "Europe/Paris", label: "Paris (France)" },
+  { value: "Europe/Berlin", label: "Berlin (Germany)" },
+  { value: "Europe/Moscow", label: "Moscow (Russia)" },
+  { value: "Asia/Dubai", label: "Dubai (UAE)" },
+  { value: "Asia/Kolkata", label: "India Standard Time" },
+  { value: "Asia/Shanghai", label: "China Standard Time" },
+  { value: "Asia/Tokyo", label: "Tokyo (Japan)" },
+  { value: "Asia/Seoul", label: "Seoul (South Korea)" },
+  { value: "Asia/Singapore", label: "Singapore" },
+  { value: "Australia/Sydney", label: "Sydney (Australia)" },
+  { value: "Australia/Melbourne", label: "Melbourne (Australia)" },
+  { value: "Pacific/Auckland", label: "Auckland (New Zealand)" },
+  { value: "America/Toronto", label: "Toronto (Canada)" },
+  { value: "America/Vancouver", label: "Vancouver (Canada)" },
+  { value: "America/Mexico_City", label: "Mexico City (Mexico)" },
+  { value: "America/Sao_Paulo", label: "São Paulo (Brazil)" },
+  { value: "America/Buenos_Aires", label: "Buenos Aires (Argentina)" },
+  { value: "Africa/Cairo", label: "Cairo (Egypt)" },
+  { value: "Africa/Johannesburg", label: "Johannesburg (South Africa)" },
+];
+
+export function TimezoneForm({
+  user,
+  currentTimezone = "not-set",
+}: TimezoneFormProps) {
+  // If timezone is not set, try to detect it from the browser
+  const effectiveTimezone = React.useMemo(() => {
+    if (currentTimezone === "not-set") {
+      // Try to get browser timezone as a suggestion
+      try {
+        return Intl.DateTimeFormat().resolvedOptions().timeZone || "UTC";
+      } catch {
+        return "UTC";
+      }
+    }
+    return currentTimezone;
+  }, [currentTimezone]);
+
+  const { form, onSubmit, isLoading } = useTimezoneForm({
+    user,
+    currentTimezone: effectiveTimezone,
+  });
+
+  return (
+    <Card>
+      <CardHeader>
+        <CardTitle>Timezone</CardTitle>
+      </CardHeader>
+      <CardContent>
+        <Form {...form}>
+          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-6">
+            <FormField
+              control={form.control}
+              name="timezone"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Select your timezone</FormLabel>
+                  <Select
+                    onValueChange={field.onChange}
+                    defaultValue={field.value}
+                  >
+                    <FormControl>
+                      <SelectTrigger>
+                        <SelectValue placeholder="Select a timezone" />
+                      </SelectTrigger>
+                    </FormControl>
+                    <SelectContent>
+                      {TIMEZONES.map((tz) => (
+                        <SelectItem key={tz.value} value={tz.value}>
+                          {tz.label}
+                        </SelectItem>
+                      ))}
+                    </SelectContent>
+                  </Select>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <Button type="submit" disabled={isLoading}>
+              {isLoading ? "Saving..." : "Save timezone"}
+            </Button>
+          </form>
+        </Form>
+      </CardContent>
+    </Card>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/TimezoneForm/useTimezoneForm.ts b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/TimezoneForm/useTimezoneForm.ts
new file mode 100644
index 000000000000..0089a60260db
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/components/SettingsForm/components/TimezoneForm/useTimezoneForm.ts
@@ -0,0 +1,73 @@
+"use client";
+
+import { useState } from "react";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { User } from "@supabase/supabase-js";
+import {
+  usePostV1UpdateUserTimezone,
+  getGetV1GetUserTimezoneQueryKey,
+} from "@/app/api/__generated__/endpoints/auth/auth";
+import { useQueryClient } from "@tanstack/react-query";
+
+const formSchema = z.object({
+  timezone: z.string().min(1, "Please select a timezone"),
+});
+
+type FormData = z.infer<typeof formSchema>;
+
+type UseTimezoneFormProps = {
+  user: User;
+  currentTimezone: string;
+};
+
+export const useTimezoneForm = ({ currentTimezone }: UseTimezoneFormProps) => {
+  const [isLoading, setIsLoading] = useState(false);
+  const { toast } = useToast();
+  const queryClient = useQueryClient();
+
+  const form = useForm<FormData>({
+    resolver: zodResolver(formSchema),
+    defaultValues: {
+      timezone: currentTimezone,
+    },
+  });
+
+  const updateTimezone = usePostV1UpdateUserTimezone();
+
+  const onSubmit = async (data: FormData) => {
+    setIsLoading(true);
+    try {
+      await updateTimezone.mutateAsync({
+        data: { timezone: data.timezone } as any,
+      });
+
+      // Invalidate the timezone query to refetch the updated value
+      await queryClient.invalidateQueries({
+        queryKey: getGetV1GetUserTimezoneQueryKey(),
+      });
+
+      toast({
+        title: "Success",
+        description: "Your timezone has been updated successfully.",
+        variant: "success",
+      });
+    } catch {
+      toast({
+        title: "Error",
+        description: "Failed to update timezone. Please try again.",
+        variant: "destructive",
+      });
+    } finally {
+      setIsLoading(false);
+    }
+  };
+
+  return {
+    form,
+    onSubmit,
+    isLoading,
+  };
+};
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/loading.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/loading.tsx
new file mode 100644
index 000000000000..5480dd38ca14
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/loading.tsx
@@ -0,0 +1,55 @@
+import { Skeleton } from "@/components/ui/skeleton";
+import { Separator } from "@/components/ui/separator";
+
+export default function SettingsLoading() {
+  return (
+    <div className="container max-w-2xl py-10">
+      <div className="space-y-6">
+        <div>
+          <Skeleton className="h-6 w-32" />
+          <Skeleton className="mt-2 h-4 w-96" />
+        </div>
+
+        <div className="space-y-8">
+          <div className="space-y-4">
+            {/* Email and Password fields */}
+            {[1, 2].map((i) => (
+              <div key={i} className="space-y-2">
+                <Skeleton className="h-4 w-16" />
+                <Skeleton className="h-10 w-full" />
+              </div>
+            ))}
+          </div>
+
+          <Separator />
+
+          <div className="space-y-4">
+            <Skeleton className="h-6 w-28" />
+
+            {/* Agent Notifications */}
+            <div className="space-y-4">
+              <Skeleton className="h-4 w-36" />
+              {[1, 2, 3].map((i) => (
+                <div
+                  key={i}
+                  className="flex flex-row items-center justify-between rounded-lg p-4"
+                >
+                  <div className="space-y-0.5">
+                    <Skeleton className="h-5 w-48" />
+                    <Skeleton className="h-4 w-72" />
+                  </div>
+                  <Skeleton className="h-6 w-11" />
+                </div>
+              ))}
+            </div>
+          </div>
+
+          <div className="flex items-center justify-end space-x-4">
+            <Skeleton className="h-10 w-24" />
+            <Skeleton className="h-10 w-32" />
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/page.tsx b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/page.tsx
new file mode 100644
index 000000000000..b738e08a3402
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/profile/(user)/settings/page.tsx
@@ -0,0 +1,67 @@
+"use client";
+import {
+  useGetV1GetNotificationPreferences,
+  useGetV1GetUserTimezone,
+} from "@/app/api/__generated__/endpoints/auth/auth";
+import { SettingsForm } from "@/app/(platform)/profile/(user)/settings/components/SettingsForm/SettingsForm";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { useTimezoneDetection } from "@/hooks/useTimezoneDetection";
+import * as React from "react";
+import SettingsLoading from "./loading";
+import { redirect } from "next/navigation";
+import { Text } from "@/components/atoms/Text/Text";
+
+export default function SettingsPage() {
+  const {
+    data: preferences,
+    isError: preferencesError,
+    isLoading: preferencesLoading,
+  } = useGetV1GetNotificationPreferences({
+    query: {
+      select: (res) => {
+        return res.data;
+      },
+    },
+  });
+
+  const { data: timezoneData, isLoading: timezoneLoading } =
+    useGetV1GetUserTimezone({
+      query: {
+        select: (res) => {
+          return res.data;
+        },
+      },
+    });
+
+  const { user, isUserLoading } = useSupabase();
+
+  // Auto-detect timezone if it's not set
+  const timezone = timezoneData?.timezone
+    ? String(timezoneData.timezone)
+    : "not-set";
+  useTimezoneDetection(timezone);
+
+  if (preferencesLoading || isUserLoading || timezoneLoading) {
+    return <SettingsLoading />;
+  }
+
+  if (!user) {
+    redirect("/login");
+  }
+
+  if (preferencesError || !preferences || !preferences.preferences) {
+    return "Errror..."; // TODO: Will use a Error reusable components from Block Menu redesign
+  }
+
+  return (
+    <div className="container max-w-2xl space-y-6 py-10">
+      <div className="flex flex-col gap-2">
+        <Text variant="h3">My account</Text>
+        <Text variant="large">
+          Manage your account settings and preferences.
+        </Text>
+      </div>
+      <SettingsForm preferences={preferences} user={user} timezone={timezone} />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/reset-password/actions.ts b/autogpt_platform/frontend/src/app/(platform)/reset-password/actions.ts
new file mode 100644
index 000000000000..e0d0463917d9
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/reset-password/actions.ts
@@ -0,0 +1,72 @@
+"use server";
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { verifyTurnstileToken } from "@/lib/turnstile";
+import * as Sentry from "@sentry/nextjs";
+import { redirect } from "next/navigation";
+
+export async function sendResetEmail(email: string, turnstileToken: string) {
+  return await Sentry.withServerActionInstrumentation(
+    "sendResetEmail",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+      const origin =
+        process.env.NEXT_PUBLIC_FRONTEND_BASE_URL || "http://localhost:3000";
+
+      if (!supabase) {
+        redirect("/error");
+      }
+
+      // Verify Turnstile token if provided
+      const success = await verifyTurnstileToken(
+        turnstileToken,
+        "reset-password",
+      );
+      if (!success) {
+        return "CAPTCHA verification failed. Please try again.";
+      }
+
+      const { error } = await supabase.auth.resetPasswordForEmail(email, {
+        redirectTo: `${origin}/api/auth/callback/reset-password`,
+      });
+
+      if (error) {
+        console.error("Error sending reset email", error);
+        return error.message;
+      }
+    },
+  );
+}
+
+export async function changePassword(password: string, turnstileToken: string) {
+  return await Sentry.withServerActionInstrumentation(
+    "changePassword",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        redirect("/error");
+      }
+
+      // Verify Turnstile token if provided
+      const success = await verifyTurnstileToken(
+        turnstileToken,
+        "change_password",
+      );
+      if (!success) {
+        return "CAPTCHA verification failed. Please try again.";
+      }
+
+      const { error } = await supabase.auth.updateUser({ password });
+
+      if (error) {
+        console.error("Error changing password", error);
+        return error.message;
+      }
+
+      await supabase.auth.signOut({ scope: "global" });
+      redirect("/login");
+    },
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/reset-password/page.tsx b/autogpt_platform/frontend/src/app/(platform)/reset-password/page.tsx
new file mode 100644
index 000000000000..b83f9f77c16b
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/reset-password/page.tsx
@@ -0,0 +1,311 @@
+"use client";
+import { Button } from "@/components/atoms/Button/Button";
+import { Input } from "@/components/atoms/Input/Input";
+import { AuthCard } from "@/components/auth/AuthCard";
+import Turnstile from "@/components/auth/Turnstile";
+import { Form, FormField } from "@/components/ui/form";
+import LoadingBox from "@/components/ui/loading";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { useTurnstile } from "@/hooks/useTurnstile";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { changePasswordFormSchema, sendEmailFormSchema } from "@/types/auth";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useRouter, useSearchParams } from "next/navigation";
+import { Suspense, useCallback, useEffect, useState } from "react";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { changePassword, sendResetEmail } from "./actions";
+
+function ResetPasswordContent() {
+  const { supabase, user, isUserLoading } = useSupabase();
+  const { toast } = useToast();
+  const searchParams = useSearchParams();
+  const router = useRouter();
+  const [isLoading, setIsLoading] = useState(false);
+  const [disabled, setDisabled] = useState(false);
+  const [sendEmailCaptchaKey, setSendEmailCaptchaKey] = useState(0);
+  const [changePasswordCaptchaKey, setChangePasswordCaptchaKey] = useState(0);
+
+  useEffect(() => {
+    const error = searchParams.get("error");
+    if (error) {
+      toast({
+        title: "Password Reset Failed",
+        description: error,
+        variant: "destructive",
+      });
+
+      const newUrl = new URL(window.location.href);
+      newUrl.searchParams.delete("error");
+      router.replace(newUrl.pathname + newUrl.search);
+    }
+  }, [searchParams, toast, router]);
+
+  const sendEmailTurnstile = useTurnstile({
+    action: "reset_password",
+    autoVerify: false,
+    resetOnError: true,
+  });
+
+  const changePasswordTurnstile = useTurnstile({
+    action: "change_password",
+    autoVerify: false,
+    resetOnError: true,
+  });
+
+  const sendEmailForm = useForm<z.infer<typeof sendEmailFormSchema>>({
+    resolver: zodResolver(sendEmailFormSchema),
+    defaultValues: {
+      email: "",
+    },
+  });
+
+  const changePasswordForm = useForm<z.infer<typeof changePasswordFormSchema>>({
+    resolver: zodResolver(changePasswordFormSchema),
+    defaultValues: {
+      password: "",
+      confirmPassword: "",
+    },
+  });
+
+  const resetSendEmailCaptcha = useCallback(() => {
+    setSendEmailCaptchaKey((k) => k + 1);
+    sendEmailTurnstile.reset();
+  }, [sendEmailTurnstile]);
+
+  const resetChangePasswordCaptcha = useCallback(() => {
+    setChangePasswordCaptchaKey((k) => k + 1);
+    changePasswordTurnstile.reset();
+  }, [changePasswordTurnstile]);
+
+  const onSendEmail = useCallback(
+    async (data: z.infer<typeof sendEmailFormSchema>) => {
+      setIsLoading(true);
+
+      if (!(await sendEmailForm.trigger())) {
+        setIsLoading(false);
+        return;
+      }
+
+      if (!sendEmailTurnstile.verified) {
+        toast({
+          title: "CAPTCHA Required",
+          description: "Please complete the CAPTCHA challenge.",
+          variant: "destructive",
+        });
+        setIsLoading(false);
+        resetSendEmailCaptcha();
+        return;
+      }
+
+      const error = await sendResetEmail(
+        data.email,
+        sendEmailTurnstile.token as string,
+      );
+      setIsLoading(false);
+      if (error) {
+        toast({
+          title: "Error",
+          description: error,
+          variant: "destructive",
+        });
+        resetSendEmailCaptcha();
+        return;
+      }
+      setDisabled(true);
+      toast({
+        title: "Email Sent",
+        description:
+          "Password reset email sent if user exists. Please check your email.",
+        variant: "default",
+      });
+    },
+    [sendEmailForm, sendEmailTurnstile, resetSendEmailCaptcha, toast],
+  );
+
+  const onChangePassword = useCallback(
+    async (data: z.infer<typeof changePasswordFormSchema>) => {
+      setIsLoading(true);
+
+      if (!(await changePasswordForm.trigger())) {
+        setIsLoading(false);
+        return;
+      }
+
+      if (!changePasswordTurnstile.verified) {
+        toast({
+          title: "CAPTCHA Required",
+          description: "Please complete the CAPTCHA challenge.",
+          variant: "destructive",
+        });
+        setIsLoading(false);
+        resetChangePasswordCaptcha();
+        return;
+      }
+
+      const error = await changePassword(
+        data.password,
+        changePasswordTurnstile.token as string,
+      );
+      setIsLoading(false);
+      if (error) {
+        toast({
+          title: "Error",
+          description: error,
+          variant: "destructive",
+        });
+        resetChangePasswordCaptcha();
+        return;
+      }
+      toast({
+        title: "Success",
+        description: "Password changed successfully. Redirecting to login.",
+        variant: "default",
+      });
+    },
+    [
+      changePasswordForm,
+      changePasswordTurnstile,
+      resetChangePasswordCaptcha,
+      toast,
+    ],
+  );
+
+  if (isUserLoading) {
+    return <LoadingBox className="h-[80vh]" />;
+  }
+
+  if (!supabase) {
+    return (
+      <div>
+        User accounts are disabled because Supabase client is unavailable
+      </div>
+    );
+  }
+
+  return (
+    <div className="flex h-full min-h-[85vh] w-full flex-col items-center justify-center">
+      <AuthCard title="Reset Password">
+        {user ? (
+          <form
+            onSubmit={changePasswordForm.handleSubmit(onChangePassword)}
+            className="flex w-full flex-col gap-1"
+          >
+            <Form {...changePasswordForm}>
+              <FormField
+                control={changePasswordForm.control}
+                name="password"
+                render={({ field }) => (
+                  <Input
+                    id={field.name}
+                    label="Password"
+                    type="password"
+                    placeholder="••••••••••••••••"
+                    error={
+                      changePasswordForm.formState.errors.password?.message
+                    }
+                    {...field}
+                  />
+                )}
+              />
+              <FormField
+                control={changePasswordForm.control}
+                name="confirmPassword"
+                render={({ field }) => (
+                  <Input
+                    id={field.name}
+                    label="Confirm Password"
+                    type="password"
+                    placeholder="••••••••••••••••"
+                    error={
+                      changePasswordForm.formState.errors.confirmPassword
+                        ?.message
+                    }
+                    {...field}
+                  />
+                )}
+              />
+
+              {/* Turnstile CAPTCHA Component for password change */}
+              <Turnstile
+                key={changePasswordCaptchaKey}
+                siteKey={changePasswordTurnstile.siteKey}
+                onVerify={changePasswordTurnstile.handleVerify}
+                onExpire={changePasswordTurnstile.handleExpire}
+                onError={changePasswordTurnstile.handleError}
+                setWidgetId={changePasswordTurnstile.setWidgetId}
+                action="change_password"
+                shouldRender={changePasswordTurnstile.shouldRender}
+              />
+
+              <Button
+                variant="primary"
+                loading={isLoading}
+                type="submit"
+                className="mt-6 w-full"
+                onClick={() => onChangePassword(changePasswordForm.getValues())}
+              >
+                {isLoading ? "Updating password..." : "Update password"}
+              </Button>
+            </Form>
+          </form>
+        ) : (
+          <form
+            onSubmit={sendEmailForm.handleSubmit(onSendEmail)}
+            className="flex w-full flex-col gap-1"
+          >
+            <Form {...sendEmailForm}>
+              <FormField
+                control={sendEmailForm.control}
+                name="email"
+                render={({ field }) => (
+                  <Input
+                    id={field.name}
+                    label="Email"
+                    placeholder="m@example.com"
+                    type="email"
+                    error={sendEmailForm.formState.errors.email?.message}
+                    {...field}
+                  />
+                )}
+              />
+
+              {/* Turnstile CAPTCHA Component for reset email */}
+              {!sendEmailTurnstile.verified ? (
+                <Turnstile
+                  key={sendEmailCaptchaKey}
+                  siteKey={sendEmailTurnstile.siteKey}
+                  onVerify={sendEmailTurnstile.handleVerify}
+                  onExpire={sendEmailTurnstile.handleExpire}
+                  onError={sendEmailTurnstile.handleError}
+                  setWidgetId={sendEmailTurnstile.setWidgetId}
+                  action="reset_password"
+                  shouldRender={sendEmailTurnstile.shouldRender}
+                />
+              ) : null}
+
+              <Button
+                variant="primary"
+                loading={isLoading}
+                disabled={disabled}
+                type="submit"
+                className="mt-6 w-full"
+                onClick={() => onSendEmail(sendEmailForm.getValues())}
+              >
+                Send reset email
+              </Button>
+            </Form>
+          </form>
+        )}
+      </AuthCard>
+    </div>
+  );
+}
+
+export default function ResetPasswordPage() {
+  return (
+    <Suspense fallback={<LoadingBox className="h-[80vh]" />}>
+      <ResetPasswordContent />
+    </Suspense>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/signup/actions.ts b/autogpt_platform/frontend/src/app/(platform)/signup/actions.ts
new file mode 100644
index 000000000000..9fa41e45106f
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/signup/actions.ts
@@ -0,0 +1,59 @@
+"use server";
+import { revalidatePath } from "next/cache";
+import { redirect } from "next/navigation";
+import { z } from "zod";
+import * as Sentry from "@sentry/nextjs";
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { signupFormSchema } from "@/types/auth";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { verifyTurnstileToken } from "@/lib/turnstile";
+
+export async function signup(
+  values: z.infer<typeof signupFormSchema>,
+  turnstileToken: string,
+) {
+  "use server";
+  return await Sentry.withServerActionInstrumentation(
+    "signup",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        redirect("/error");
+      }
+
+      // Verify Turnstile token if provided
+      const success = await verifyTurnstileToken(turnstileToken, "signup");
+      if (!success) {
+        return "CAPTCHA verification failed. Please try again.";
+      }
+
+      // We are sure that the values are of the correct type because zod validates the form
+      const { data, error } = await supabase.auth.signUp(values);
+
+      if (error) {
+        console.error("Error signing up", error);
+        // FIXME: supabase doesn't return the correct error message for this case
+        if (error.message.includes("P0001")) {
+          return "not_allowed";
+        }
+        if (error.code === "user_already_exists") {
+          return "user_already_exists";
+        }
+        return error.message;
+      }
+
+      if (data.session) {
+        await supabase.auth.setSession(data.session);
+      }
+      // Don't onboard if disabled
+      if (await new BackendAPI().isOnboardingEnabled()) {
+        revalidatePath("/onboarding", "layout");
+        redirect("/onboarding");
+      }
+      revalidatePath("/", "layout");
+      redirect("/");
+    },
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/signup/components/LoadingSignup.tsx b/autogpt_platform/frontend/src/app/(platform)/signup/components/LoadingSignup.tsx
new file mode 100644
index 000000000000..b29ebd20e240
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/signup/components/LoadingSignup.tsx
@@ -0,0 +1,29 @@
+import { AuthCard } from "@/components/auth/AuthCard";
+import { Skeleton } from "@/components/ui/skeleton";
+
+export function LoadingSignup() {
+  return (
+    <div className="flex h-full min-h-[85vh] flex-col items-center justify-center">
+      <AuthCard title="">
+        <Skeleton className="mx-auto h-8 w-48" />
+        <Skeleton className="h-12 w-full rounded-md" />
+        <div className="w-full space-y-6">
+          <div className="space-y-2">
+            <Skeleton className="h-4 w-12" />
+            <Skeleton className="h-12 w-full rounded-md" />
+          </div>
+          <div className="space-y-2">
+            <Skeleton className="h-4 w-16" />
+            <Skeleton className="h-12 w-full rounded-md" />
+          </div>
+          <Skeleton className="h-16 w-full rounded-md" />
+          <Skeleton className="h-12 w-full rounded-md" />
+          <div className="flex justify-center space-x-1">
+            <Skeleton className="h-4 w-32" />
+            <Skeleton className="h-4 w-12" />
+          </div>
+        </div>
+      </AuthCard>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/signup/page.tsx b/autogpt_platform/frontend/src/app/(platform)/signup/page.tsx
new file mode 100644
index 000000000000..cb48d512f711
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/signup/page.tsx
@@ -0,0 +1,213 @@
+"use client";
+
+import { Button } from "@/components/atoms/Button/Button";
+import { Input } from "@/components/atoms/Input/Input";
+import { Link } from "@/components/atoms/Link/Link";
+import { Text } from "@/components/atoms/Text/Text";
+import { AuthCard } from "@/components/auth/AuthCard";
+import AuthFeedback from "@/components/auth/AuthFeedback";
+import { EmailNotAllowedModal } from "@/components/auth/EmailNotAllowedModal";
+import { GoogleOAuthButton } from "@/components/auth/GoogleOAuthButton";
+import Turnstile from "@/components/auth/Turnstile";
+import { Checkbox } from "@/components/ui/checkbox";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+} from "@/components/ui/form";
+import { getBehaveAs } from "@/lib/utils";
+import { WarningOctagonIcon } from "@phosphor-icons/react/dist/ssr";
+import { LoadingSignup } from "./components/LoadingSignup";
+import { useSignupPage } from "./useSignupPage";
+
+export default function SignupPage() {
+  const {
+    form,
+    feedback,
+    turnstile,
+    captchaKey,
+    isLoggedIn,
+    isLoading,
+    isCloudEnv,
+    isUserLoading,
+    isGoogleLoading,
+    showNotAllowedModal,
+    isSupabaseAvailable,
+    handleSubmit,
+    handleProviderSignup,
+    handleCloseNotAllowedModal,
+  } = useSignupPage();
+
+  if (isUserLoading || isLoggedIn) {
+    return <LoadingSignup />;
+  }
+
+  if (!isSupabaseAvailable) {
+    return (
+      <div>
+        User accounts are disabled because Supabase client is unavailable
+      </div>
+    );
+  }
+
+  const confirmPasswordError = form.formState.errors.confirmPassword?.message;
+  const termsError = form.formState.errors.agreeToTerms?.message;
+
+  return (
+    <div className="flex h-full min-h-[85vh] flex-col items-center justify-center py-10">
+      <AuthCard title="Create a new account">
+        <Form {...form}>
+          <form onSubmit={handleSubmit} className="flex w-full flex-col gap-1">
+            <FormField
+              control={form.control}
+              name="email"
+              render={({ field }) => (
+                <Input
+                  id={field.name}
+                  label="Email"
+                  placeholder="m@example.com"
+                  type="email"
+                  autoComplete="email"
+                  error={form.formState.errors.email?.message}
+                  {...field}
+                />
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="password"
+              render={({ field }) => {
+                return (
+                  <Input
+                    id={field.name}
+                    label="Password"
+                    placeholder="•••••••••••••••••••••"
+                    type="password"
+                    autoComplete="new-password"
+                    error={form.formState.errors.password?.message}
+                    {...field}
+                  />
+                );
+              }}
+            />
+            <FormField
+              control={form.control}
+              name="confirmPassword"
+              render={({ field }) => (
+                <Input
+                  id={field.name}
+                  label="Confirm Password"
+                  placeholder="•••••••••••••••••••••"
+                  type="password"
+                  autoComplete="new-password"
+                  error={confirmPasswordError}
+                  {...field}
+                />
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="agreeToTerms"
+              render={({ field }) => (
+                <>
+                  <FormItem className="mt-6 flex w-full flex-row items-center -space-y-1 space-x-2">
+                    <FormControl>
+                      <Checkbox
+                        checked={field.value}
+                        onCheckedChange={field.onChange}
+                        className="relative bottom-px"
+                      />
+                    </FormControl>
+                    <div>
+                      <FormLabel className="flex flex-wrap items-center gap-1">
+                        <Text
+                          variant="body-medium"
+                          className="inline-block text-slate-950"
+                        >
+                          I agree to the
+                        </Text>
+                        <Link
+                          href="https://auto-gpt.notion.site/Terms-of-Use-11400ef5bece80d0b087d7831c5fd6bf"
+                          variant="secondary"
+                        >
+                          Terms of Use
+                        </Link>
+                        <Text
+                          variant="body-medium"
+                          className="inline-block text-slate-950"
+                        >
+                          and
+                        </Text>
+                        <Link
+                          href="https://www.notion.so/auto-gpt/Privacy-Policy-ab11c9c20dbd4de1a15dcffe84d77984"
+                          variant="secondary"
+                        >
+                          Privacy Policy
+                        </Link>
+                      </FormLabel>
+                    </div>
+                  </FormItem>
+                  {termsError ? (
+                    <div className="flex items-center gap-2">
+                      <WarningOctagonIcon className="h-4 w-4 text-red-500" />
+                      <Text variant="small-medium" className="!text-red-500">
+                        {termsError}
+                      </Text>
+                    </div>
+                  ) : null}
+                </>
+              )}
+            />
+
+            {/* Turnstile CAPTCHA Component */}
+            {isCloudEnv && !turnstile.verified ? (
+              <Turnstile
+                key={captchaKey}
+                siteKey={turnstile.siteKey}
+                onVerify={turnstile.handleVerify}
+                onExpire={turnstile.handleExpire}
+                onError={turnstile.handleError}
+                setWidgetId={turnstile.setWidgetId}
+                action="signup"
+                shouldRender={turnstile.shouldRender}
+              />
+            ) : null}
+
+            <Button
+              variant="primary"
+              loading={isLoading}
+              type="submit"
+              className="mt-6 w-full"
+            >
+              {isLoading ? "Signing up..." : "Sign up"}
+            </Button>
+          </form>
+        </Form>
+        {isCloudEnv ? (
+          <GoogleOAuthButton
+            onClick={() => handleProviderSignup("google")}
+            isLoading={isGoogleLoading}
+            disabled={isLoading}
+          />
+        ) : null}
+        <AuthFeedback
+          type="signup"
+          message={feedback}
+          isError={!!feedback}
+          behaveAs={getBehaveAs()}
+        />
+
+        <AuthCard.BottomText
+          text="Already a member?"
+          link={{ text: "Log in", href: "/login" }}
+        />
+      </AuthCard>
+      <EmailNotAllowedModal
+        isOpen={showNotAllowedModal}
+        onClose={handleCloseNotAllowedModal}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/app/(platform)/signup/useSignupPage.ts b/autogpt_platform/frontend/src/app/(platform)/signup/useSignupPage.ts
new file mode 100644
index 000000000000..34fc1d78ad54
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/(platform)/signup/useSignupPage.ts
@@ -0,0 +1,141 @@
+import { useTurnstile } from "@/hooks/useTurnstile";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { BehaveAs, getBehaveAs } from "@/lib/utils";
+import { LoginProvider, signupFormSchema } from "@/types/auth";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useRouter } from "next/navigation";
+import { useCallback, useEffect, useState } from "react";
+import { useForm } from "react-hook-form";
+import z from "zod";
+import { providerLogin } from "../login/actions";
+import { signup } from "./actions";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+
+export function useSignupPage() {
+  const { supabase, user, isUserLoading } = useSupabase();
+  const [feedback, setFeedback] = useState<string | null>(null);
+  const [captchaKey, setCaptchaKey] = useState(0);
+  const { toast } = useToast();
+  const router = useRouter();
+  const [isLoading, setIsLoading] = useState(false);
+  const [isGoogleLoading, setIsGoogleLoading] = useState(false);
+  const [showNotAllowedModal, setShowNotAllowedModal] = useState(false);
+
+  const isCloudEnv = getBehaveAs() === BehaveAs.CLOUD;
+  const isVercelPreview = process.env.NEXT_PUBLIC_VERCEL_ENV === "preview";
+
+  const turnstile = useTurnstile({
+    action: "signup",
+    autoVerify: false,
+    resetOnError: true,
+  });
+
+  const resetCaptcha = useCallback(() => {
+    setCaptchaKey((k) => k + 1);
+    turnstile.reset();
+  }, [turnstile]);
+
+  const form = useForm<z.infer<typeof signupFormSchema>>({
+    resolver: zodResolver(signupFormSchema),
+    defaultValues: {
+      email: "",
+      password: "",
+      confirmPassword: "",
+      agreeToTerms: false,
+    },
+  });
+
+  useEffect(() => {
+    if (user) router.push("/");
+  }, [user]);
+
+  async function handleProviderSignup(provider: LoginProvider) {
+    setIsGoogleLoading(true);
+
+    if (isCloudEnv && !turnstile.verified && !isVercelPreview) {
+      toast({
+        title: "Please complete the CAPTCHA challenge.",
+        variant: "default",
+      });
+      setIsGoogleLoading(false);
+      resetCaptcha();
+      return;
+    }
+
+    const error = await providerLogin(provider);
+    if (error) {
+      setIsGoogleLoading(false);
+      resetCaptcha();
+      toast({
+        title: error,
+        variant: "destructive",
+      });
+      return;
+    }
+    setFeedback(null);
+  }
+
+  async function handleSignup(data: z.infer<typeof signupFormSchema>) {
+    setIsLoading(true);
+
+    if (isCloudEnv && !turnstile.verified && !isVercelPreview) {
+      toast({
+        title: "Please complete the CAPTCHA challenge.",
+        variant: "default",
+      });
+      setIsLoading(false);
+      resetCaptcha();
+      return;
+    }
+
+    if (data.email.includes("@agpt.co")) {
+      toast({
+        title:
+          "Please use Google SSO to create an account using an AutoGPT email.",
+        variant: "default",
+      });
+
+      setIsLoading(false);
+      resetCaptcha();
+      return;
+    }
+
+    const error = await signup(data, turnstile.token as string);
+    setIsLoading(false);
+    if (error) {
+      if (error === "user_already_exists") {
+        setFeedback("User with this email already exists");
+        turnstile.reset();
+        return;
+      } else if (error === "not_allowed") {
+        setShowNotAllowedModal(true);
+      } else {
+        toast({
+          title: error,
+          variant: "destructive",
+        });
+        resetCaptcha();
+        turnstile.reset();
+      }
+      return;
+    }
+    setFeedback(null);
+  }
+
+  return {
+    form,
+    feedback,
+    turnstile,
+    captchaKey,
+    isLoggedIn: !!user,
+    isLoading,
+    isCloudEnv,
+    isUserLoading,
+    isGoogleLoading,
+    showNotAllowedModal,
+    isSupabaseAvailable: !!supabase,
+    handleSubmit: form.handleSubmit(handleSignup),
+    handleCloseNotAllowedModal: () => setShowNotAllowedModal(false),
+    handleProviderSignup,
+  };
+}
diff --git a/autogpt_platform/frontend/src/app/unauthorized/page.tsx b/autogpt_platform/frontend/src/app/(platform)/unauthorized/page.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/app/unauthorized/page.tsx
rename to autogpt_platform/frontend/src/app/(platform)/unauthorized/page.tsx
diff --git a/autogpt_platform/frontend/src/app/admin/layout.tsx b/autogpt_platform/frontend/src/app/admin/layout.tsx
deleted file mode 100644
index 0ff36ced3ac9..000000000000
--- a/autogpt_platform/frontend/src/app/admin/layout.tsx
+++ /dev/null
@@ -1,100 +0,0 @@
-"use client";
-
-import { useState } from "react";
-import Link from "next/link";
-import { BinaryIcon, XIcon } from "lucide-react";
-import { usePathname } from "next/navigation"; // Add this import
-
-const tabs = [
-  { name: "Dashboard", href: "/admin/dashboard" },
-  { name: "Marketplace", href: "/admin/marketplace" },
-  { name: "Users", href: "/admin/users" },
-  { name: "Settings", href: "/admin/settings" },
-];
-
-export default function AdminLayout({
-  children,
-}: {
-  children: React.ReactNode;
-}) {
-  const pathname = usePathname(); // Get the current pathname
-  const [activeTab, setActiveTab] = useState(() => {
-    // Set active tab based on the current route
-    return tabs.find((tab) => tab.href === pathname)?.name || tabs[0].name;
-  });
-  const [mobileMenuOpen, setMobileMenuOpen] = useState(false);
-
-  return (
-    <div className="min-h-screen bg-gray-100">
-      <nav className="bg-white shadow-sm">
-        <div className="max-w-10xl mx-auto px-4 sm:px-6 lg:px-8">
-          <div className="flex h-16 items-center justify-between">
-            <div className="flex items-center">
-              <div className="flex-shrink-0">
-                <h1 className="text-xl font-bold">Admin Panel</h1>
-              </div>
-              <div className="hidden sm:ml-6 sm:flex sm:space-x-8">
-                {tabs.map((tab) => (
-                  <Link
-                    key={tab.name}
-                    href={tab.href}
-                    className={`${
-                      activeTab === tab.name
-                        ? "border-indigo-500 text-indigo-600"
-                        : "border-transparent text-gray-500 hover:border-gray-300 hover:text-gray-700"
-                    } inline-flex items-center border-b-2 px-1 pt-1 text-sm font-medium`}
-                    onClick={() => setActiveTab(tab.name)}
-                  >
-                    {tab.name}
-                  </Link>
-                ))}
-              </div>
-            </div>
-            <div className="sm:hidden">
-              <button
-                type="button"
-                className="inline-flex items-center justify-center rounded-md p-2 text-gray-400 hover:bg-gray-100 hover:text-gray-500 focus:outline-none focus:ring-2 focus:ring-inset focus:ring-indigo-500"
-                onClick={() => setMobileMenuOpen(!mobileMenuOpen)}
-              >
-                <span className="sr-only">Open main menu</span>
-                {mobileMenuOpen ? (
-                  <XIcon className="block h-6 w-6" aria-hidden="true" />
-                ) : (
-                  <BinaryIcon className="block h-6 w-6" aria-hidden="true" />
-                )}
-              </button>
-            </div>
-          </div>
-        </div>
-
-        {mobileMenuOpen && (
-          <div className="sm:hidden">
-            <div className="space-y-1 pb-3 pt-2">
-              {tabs.map((tab) => (
-                <Link
-                  key={tab.name}
-                  href={tab.href}
-                  className={`${
-                    activeTab === tab.name
-                      ? "border-indigo-500 bg-indigo-50 text-indigo-700"
-                      : "border-transparent text-gray-600 hover:border-gray-300 hover:bg-gray-50 hover:text-gray-800"
-                  } block border-l-4 py-2 pl-3 pr-4 text-base font-medium`}
-                  onClick={() => {
-                    setActiveTab(tab.name);
-                    setMobileMenuOpen(false);
-                  }}
-                >
-                  {tab.name}
-                </Link>
-              ))}
-            </div>
-          </div>
-        )}
-      </nav>
-
-      <main className="py-10">
-        <div className="mx-auto max-w-7xl px-4 sm:px-6 lg:px-8">{children}</div>
-      </main>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/admin/marketplace/page.tsx b/autogpt_platform/frontend/src/app/admin/marketplace/page.tsx
deleted file mode 100644
index 00fce107899c..000000000000
--- a/autogpt_platform/frontend/src/app/admin/marketplace/page.tsx
+++ /dev/null
@@ -1,25 +0,0 @@
-import { withRoleAccess } from "@/lib/withRoleAccess";
-
-import React from "react";
-import { getReviewableAgents } from "@/components/admin/marketplace/actions";
-import AdminMarketplaceAgentList from "@/components/admin/marketplace/AdminMarketplaceAgentList";
-import AdminFeaturedAgentsControl from "@/components/admin/marketplace/AdminFeaturedAgentsControl";
-import { Separator } from "@/components/ui/separator";
-async function AdminMarketplace() {
-  const reviewableAgents = await getReviewableAgents();
-
-  return (
-    <>
-      <AdminMarketplaceAgentList agents={reviewableAgents.items} />
-      <Separator className="my-4" />
-      <AdminFeaturedAgentsControl className="mt-4" />
-    </>
-  );
-}
-
-export default async function AdminDashboardPage() {
-  "use server";
-  const withAdminAccess = await withRoleAccess(["admin"]);
-  const ProtectedAdminMarketplace = await withAdminAccess(AdminMarketplace);
-  return <ProtectedAdminMarketplace />;
-}
diff --git a/autogpt_platform/frontend/src/app/api/__generated__/models/storeSubmissionEditRequest.ts b/autogpt_platform/frontend/src/app/api/__generated__/models/storeSubmissionEditRequest.ts
new file mode 100644
index 000000000000..82614c0b9e54
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/__generated__/models/storeSubmissionEditRequest.ts
@@ -0,0 +1,19 @@
+/**
+ * Generated by orval v7.11.2 🍺
+ * Do not edit manually.
+ * AutoGPT Agent Server
+ * This server is used to execute agents that are created by the AutoGPT system.
+ * OpenAPI spec version: 0.1
+ */
+import type { StoreSubmissionEditRequestVideoUrl } from './storeSubmissionEditRequestVideoUrl';
+import type { StoreSubmissionEditRequestChangesSummary } from './storeSubmissionEditRequestChangesSummary';
+
+export interface StoreSubmissionEditRequest {
+  name: string;
+  sub_heading: string;
+  video_url?: StoreSubmissionEditRequestVideoUrl;
+  image_urls?: string[];
+  description?: string;
+  categories?: string[];
+  changes_summary?: StoreSubmissionEditRequestChangesSummary;
+}
diff --git a/autogpt_platform/frontend/src/app/api/auth/callback/reset-password/route.ts b/autogpt_platform/frontend/src/app/api/auth/callback/reset-password/route.ts
new file mode 100644
index 000000000000..c88b14e06d09
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/auth/callback/reset-password/route.ts
@@ -0,0 +1,41 @@
+import { exchangePasswordResetCode } from "@/lib/supabase/helpers";
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { NextRequest, NextResponse } from "next/server";
+
+export async function GET(request: NextRequest) {
+  const { searchParams } = new URL(request.url);
+  const code = searchParams.get("code");
+  const origin =
+    process.env.NEXT_PUBLIC_FRONTEND_BASE_URL || "http://localhost:3000";
+
+  if (!code) {
+    return NextResponse.redirect(
+      `${origin}/reset-password?error=Missing verification code`,
+    );
+  }
+
+  try {
+    const supabase = await getServerSupabase();
+
+    if (!supabase) {
+      return NextResponse.redirect(
+        `${origin}/reset-password?error=no-auth-client`,
+      );
+    }
+
+    const result = await exchangePasswordResetCode(supabase, code);
+
+    if (!result.success) {
+      return NextResponse.redirect(
+        `${origin}/reset-password?error=${encodeURIComponent(result.error || "Password reset failed")}`,
+      );
+    }
+
+    return NextResponse.redirect(`${origin}/reset-password`);
+  } catch (error) {
+    console.error("Password reset callback error:", error);
+    return NextResponse.redirect(
+      `${origin}/reset-password?error=Password reset failed`,
+    );
+  }
+}
diff --git a/autogpt_platform/frontend/src/app/api/auth/user/route.ts b/autogpt_platform/frontend/src/app/api/auth/user/route.ts
new file mode 100644
index 000000000000..896385d865be
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/auth/user/route.ts
@@ -0,0 +1,39 @@
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { NextResponse } from "next/server";
+
+export async function GET() {
+  const supabase = await getServerSupabase();
+  const { data, error } = await supabase.auth.getUser();
+
+  if (error) {
+    return NextResponse.json({ error: error.message }, { status: 400 });
+  }
+
+  return NextResponse.json(data);
+}
+
+export async function PUT(request: Request) {
+  try {
+    const supabase = await getServerSupabase();
+    const { email } = await request.json();
+
+    if (!email) {
+      return NextResponse.json({ error: "Email is required" }, { status: 400 });
+    }
+
+    const { data, error } = await supabase.auth.updateUser({
+      email,
+    });
+
+    if (error) {
+      return NextResponse.json({ error: error.message }, { status: 400 });
+    }
+
+    return NextResponse.json(data);
+  } catch {
+    return NextResponse.json(
+      { error: "Failed to update user email" },
+      { status: 500 },
+    );
+  }
+}
diff --git a/autogpt_platform/frontend/src/app/api/mutators/custom-mutator.ts b/autogpt_platform/frontend/src/app/api/mutators/custom-mutator.ts
new file mode 100644
index 000000000000..aa443cf3c168
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/mutators/custom-mutator.ts
@@ -0,0 +1,111 @@
+import {
+  createRequestHeaders,
+  getServerAuthToken,
+} from "@/lib/autogpt-server-api/helpers";
+import { isServerSide } from "@/lib/utils/is-server-side";
+import { getAgptServerBaseUrl } from "@/lib/env-config";
+
+import { transformDates } from "./date-transformer";
+
+const FRONTEND_BASE_URL =
+  process.env.NEXT_PUBLIC_FRONTEND_BASE_URL || "http://localhost:3000";
+const API_PROXY_BASE_URL = `${FRONTEND_BASE_URL}/api/proxy`; // Sending request via nextjs Server
+
+const getBaseUrl = (): string => {
+  if (!isServerSide()) {
+    return API_PROXY_BASE_URL;
+  } else {
+    return getAgptServerBaseUrl();
+  }
+};
+
+const getBody = <T>(c: Response | Request): Promise<T> => {
+  const contentType = c.headers.get("content-type");
+
+  if (contentType && contentType.includes("application/json")) {
+    return c.json();
+  }
+
+  if (contentType && contentType.includes("application/pdf")) {
+    return c.blob() as Promise<T>;
+  }
+
+  return c.text() as Promise<T>;
+};
+
+export const customMutator = async <T = any>(
+  url: string,
+  options: RequestInit & {
+    params?: any;
+  } = {},
+): Promise<T> => {
+  const { params, ...requestOptions } = options;
+  const method = (requestOptions.method || "GET") as
+    | "GET"
+    | "POST"
+    | "PUT"
+    | "DELETE"
+    | "PATCH";
+  const data = requestOptions.body;
+  let headers: Record<string, string> = {
+    ...((requestOptions.headers as Record<string, string>) || {}),
+  };
+
+  const isFormData = data instanceof FormData;
+  const contentType = isFormData ? "multipart/form-data" : "application/json";
+
+  // Currently, only two content types are handled here: application/json and multipart/form-data
+  if (!isFormData && data && !headers["Content-Type"]) {
+    headers["Content-Type"] = "application/json";
+  }
+
+  const queryString = params
+    ? "?" + new URLSearchParams(params).toString()
+    : "";
+
+  const baseUrl = getBaseUrl();
+
+  // The caching in React Query in our system depends on the url, so the base_url could be different for the server and client sides.
+  const fullUrl = `${baseUrl}${url}${queryString}`;
+
+  if (isServerSide()) {
+    try {
+      const token = await getServerAuthToken();
+      const authHeaders = createRequestHeaders(token, !!data, contentType);
+      headers = { ...headers, ...authHeaders };
+    } catch (error) {
+      console.warn("Failed to get server auth token:", error);
+    }
+  }
+
+  const response = await fetch(fullUrl, {
+    ...requestOptions,
+    method,
+    headers,
+    body: data,
+  });
+
+  // Error handling for server-side requests
+  // We do not need robust error handling for server-side requests; we only need to log the error message and throw the error.
+  // What happens if the server-side request fails?
+  // 1. The error will be logged in the terminal, then.
+  // 2. The error will be thrown, so the cached data for this particular queryKey will be empty, then.
+  // 3. The client-side will send the request again via the proxy. If it fails again, the error will be handled on the client side.
+  // 4. If the request succeeds on the server side, the data will be cached, and the client will use it instead of sending a request to the proxy.
+
+  if (!response.ok && isServerSide()) {
+    console.error("Request failed on server side", response, fullUrl);
+    throw new Error(`Request failed with status ${response.status}`);
+  }
+
+  const response_data = await getBody<T>(response);
+
+  // Transform ISO date strings to Date objects in the response data
+  const transformedData = transformDates(response_data);
+
+  return {
+    status: response.status,
+    data: transformedData,
+    headers: response.headers,
+  } as T;
+};
diff --git a/autogpt_platform/frontend/src/app/api/mutators/date-transformer.ts b/autogpt_platform/frontend/src/app/api/mutators/date-transformer.ts
new file mode 100644
index 000000000000..575495a3dbc4
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/mutators/date-transformer.ts
@@ -0,0 +1,51 @@
+/**
+ * Date transformation utility for converting ISO date strings to Date objects
+ * in API responses. This handles the conversion recursively for nested objects.
+ */
+
+// ISO date regex pattern to match strings that look like ISO dates
+const ISO_DATE_REGEX = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d+)?Z?$/;
+
+/**
+ * Validates if a string is a valid ISO date and can be parsed
+ */
+function isValidISODate(dateString: string): boolean {
+  if (!ISO_DATE_REGEX.test(dateString)) {
+    return false;
+  }
+
+  const date = new Date(dateString);
+  return !isNaN(date.getTime());
+}
+
+/**
+ * Recursively transforms ISO date strings to Date objects in an object or array
+ * @param obj - The object or array to transform
+ * @returns The transformed object with Date objects
+ */
+export function transformDates<T>(obj: T): T {
+  if (typeof obj !== "object" || obj === null) return obj;
+
+  // Handle arrays
+  if (Array.isArray(obj)) {
+    return obj.map(transformDates) as T;
+  }
+
+  // Handle objects
+  const transformed = {} as T;
+
+  for (const [key, value] of Object.entries(obj)) {
+    if (typeof value === "string" && isValidISODate(value)) {
+      // Convert ISO date string to Date object
+      (transformed as any)[key] = new Date(value);
+    } else if (typeof value === "object") {
+      // Recursively transform nested objects/arrays
+      (transformed as any)[key] = transformDates(value);
+    } else {
+      // Keep primitive values as-is
+      (transformed as any)[key] = value;
+    }
+  }
+
+  return transformed;
+}
diff --git a/autogpt_platform/frontend/src/app/api/openapi.json b/autogpt_platform/frontend/src/app/api/openapi.json
new file mode 100644
index 000000000000..32d6184fb7c9
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/openapi.json
@@ -0,0 +1,8599 @@
+{
+  "openapi": "3.1.0",
+  "info": {
+    "title": "AutoGPT Agent Server",
+    "summary": "AutoGPT Agent Server",
+    "description": "This server is used to execute agents that are created by the AutoGPT system.",
+    "version": "0.1"
+  },
+  "paths": {
+    "/api/integrations/{provider}/login": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "Login",
+        "operationId": "getV1Login",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The provider to initiate an OAuth flow for",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          },
+          {
+            "name": "scopes",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "string",
+              "title": "Comma-separated list of authorization scopes",
+              "default": ""
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LoginResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/{provider}/callback": {
+      "post": {
+        "tags": ["v1", "integrations"],
+        "summary": "Callback",
+        "operationId": "postV1Callback",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The target provider for this OAuth exchange",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/Body_postV1Callback" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/CredentialsMetaResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/credentials": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "List Credentials",
+        "operationId": "getV1ListCredentials",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": {
+                    "$ref": "#/components/schemas/CredentialsMetaResponse"
+                  },
+                  "type": "array",
+                  "title": "Response Getv1Listcredentials"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/{provider}/credentials": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "List Credentials By Provider",
+        "operationId": "getV1ListCredentialsByProvider",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The provider to list credentials for",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/CredentialsMetaResponse"
+                  },
+                  "title": "Response Getv1Listcredentialsbyprovider"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "integrations"],
+        "summary": "Create Credentials",
+        "operationId": "postV1CreateCredentials",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The provider to create credentials for",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/OAuth2Credentials" },
+                  { "$ref": "#/components/schemas/APIKeyCredentials" },
+                  { "$ref": "#/components/schemas/UserPasswordCredentials" },
+                  { "$ref": "#/components/schemas/HostScopedCredentials-Input" }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "oauth2": "#/components/schemas/OAuth2Credentials",
+                    "api_key": "#/components/schemas/APIKeyCredentials",
+                    "user_password": "#/components/schemas/UserPasswordCredentials",
+                    "host_scoped": "#/components/schemas/HostScopedCredentials-Input"
+                  }
+                },
+                "title": "Credentials"
+              }
+            }
+          }
+        },
+        "responses": {
+          "201": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "oneOf": [
+                    { "$ref": "#/components/schemas/OAuth2Credentials" },
+                    { "$ref": "#/components/schemas/APIKeyCredentials" },
+                    { "$ref": "#/components/schemas/UserPasswordCredentials" },
+                    {
+                      "$ref": "#/components/schemas/HostScopedCredentials-Output"
+                    }
+                  ],
+                  "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                      "oauth2": "#/components/schemas/OAuth2Credentials",
+                      "api_key": "#/components/schemas/APIKeyCredentials",
+                      "user_password": "#/components/schemas/UserPasswordCredentials",
+                      "host_scoped": "#/components/schemas/HostScopedCredentials-Output"
+                    }
+                  },
+                  "title": "Response Postv1Createcredentials"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/{provider}/credentials/{cred_id}": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "Get Credential",
+        "operationId": "getV1GetCredential",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The provider to retrieve credentials for",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          },
+          {
+            "name": "cred_id",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The ID of the credentials to retrieve"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "oneOf": [
+                    { "$ref": "#/components/schemas/OAuth2Credentials" },
+                    { "$ref": "#/components/schemas/APIKeyCredentials" },
+                    { "$ref": "#/components/schemas/UserPasswordCredentials" },
+                    {
+                      "$ref": "#/components/schemas/HostScopedCredentials-Output"
+                    }
+                  ],
+                  "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                      "oauth2": "#/components/schemas/OAuth2Credentials",
+                      "api_key": "#/components/schemas/APIKeyCredentials",
+                      "user_password": "#/components/schemas/UserPasswordCredentials",
+                      "host_scoped": "#/components/schemas/HostScopedCredentials-Output"
+                    }
+                  },
+                  "title": "Response Getv1Getcredential"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": ["v1", "integrations"],
+        "summary": "Delete Credentials",
+        "operationId": "deleteV1DeleteCredentials",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The provider to delete credentials for",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          },
+          {
+            "name": "cred_id",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "The ID of the credentials to delete"
+            }
+          },
+          {
+            "name": "force",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "boolean",
+              "title": "Whether to proceed if any linked webhooks are still in use",
+              "default": false
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "anyOf": [
+                    {
+                      "$ref": "#/components/schemas/CredentialsDeletionResponse"
+                    },
+                    {
+                      "$ref": "#/components/schemas/CredentialsDeletionNeedsConfirmationResponse"
+                    }
+                  ],
+                  "title": "Response Deletev1Deletecredentials"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/{provider}/webhooks/{webhook_id}/ingress": {
+      "post": {
+        "tags": ["v1", "integrations"],
+        "summary": "Webhook Ingress Generic",
+        "operationId": "postV1WebhookIngressGeneric",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "Provider where the webhook was registered",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            }
+          },
+          {
+            "name": "webhook_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Our ID for the webhook" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/webhooks/{webhook_id}/ping": {
+      "post": {
+        "tags": ["v1", "integrations"],
+        "summary": "Webhook Ping",
+        "operationId": "postV1WebhookPing",
+        "parameters": [
+          {
+            "name": "webhook_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Our ID for the webhook" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/ayrshare/sso_url": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "Get Ayrshare Sso Url",
+        "description": "Generate an SSO URL for Ayrshare social media integration.\n\nReturns:\n    dict: Contains the SSO URL for Ayrshare integration",
+        "operationId": "getV1GetAyrshareSsoUrl",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/AyrshareSSOResponse" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/providers": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "List Providers",
+        "description": "Get a list of all available provider names.\n\nReturns both statically defined providers (from ProviderName enum)\nand dynamically registered providers (from SDK decorators).\n\nNote: The complete list of provider names is also available as a constant\nin the generated TypeScript client via PROVIDER_NAMES.",
+        "operationId": "getV1ListProviders",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": { "type": "string" },
+                  "type": "array",
+                  "title": "Response Getv1Listproviders"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/providers/names": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "Get Provider Names",
+        "description": "Get all provider names in a structured format.\n\nThis endpoint is specifically designed to expose the provider names\nin the OpenAPI schema so that code generators like Orval can create\nappropriate TypeScript constants.",
+        "operationId": "getV1GetProviderNames",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ProviderNamesResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/providers/constants": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "Get Provider Constants",
+        "description": "Get provider names as constants.\n\nThis endpoint returns a model with provider names as constants,\nspecifically designed for OpenAPI code generation tools to create\nTypeScript constants.",
+        "operationId": "getV1GetProviderConstants",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ProviderConstants" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/integrations/providers/enum-example": {
+      "get": {
+        "tags": ["v1", "integrations"],
+        "summary": "Get Provider Enum Example",
+        "description": "Example endpoint that uses the CompleteProviderNames enum.\n\nThis endpoint exists to ensure that the CompleteProviderNames enum is included\nin the OpenAPI schema, which will cause Orval to generate it as a\nTypeScript enum/constant.",
+        "operationId": "getV1GetProviderEnumExample",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ProviderEnumResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/analytics/log_raw_metric": {
+      "post": {
+        "tags": ["v1", "analytics"],
+        "summary": "Log Raw Metric",
+        "operationId": "postV1LogRawMetric",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/LogRawMetricRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/analytics/log_raw_analytics": {
+      "post": {
+        "tags": ["v1", "analytics"],
+        "summary": "Log Raw Analytics",
+        "operationId": "postV1LogRawAnalytics",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV1LogRawAnalytics"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/auth/user": {
+      "post": {
+        "tags": ["v1", "auth"],
+        "summary": "Get or create user",
+        "operationId": "postV1Get or create user",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    },
+    "/api/auth/user/email": {
+      "post": {
+        "tags": ["v1", "auth"],
+        "summary": "Update user email",
+        "operationId": "postV1Update user email",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "type": "string", "title": "Email" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "additionalProperties": { "type": "string" },
+                  "type": "object",
+                  "title": "Response Postv1Update User Email"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/auth/user/timezone": {
+      "get": {
+        "tags": ["v1", "auth"],
+        "summary": "Get user timezone",
+        "description": "Get user timezone setting.",
+        "operationId": "getV1Get user timezone",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/TimezoneResponse" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "auth"],
+        "summary": "Update user timezone",
+        "description": "Update user timezone. The timezone should be a valid IANA timezone identifier.",
+        "operationId": "postV1Update user timezone",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/UpdateTimezoneRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/TimezoneResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/auth/user/preferences": {
+      "get": {
+        "tags": ["v1", "auth"],
+        "summary": "Get notification preferences",
+        "operationId": "getV1Get notification preferences",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/NotificationPreference"
+                }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "auth"],
+        "summary": "Update notification preferences",
+        "operationId": "postV1Update notification preferences",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/NotificationPreferenceDTO"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/NotificationPreference"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/onboarding": {
+      "get": {
+        "tags": ["v1", "onboarding"],
+        "summary": "Get onboarding status",
+        "operationId": "getV1Get onboarding status",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      },
+      "patch": {
+        "tags": ["v1", "onboarding"],
+        "summary": "Update onboarding progress",
+        "operationId": "patchV1Update onboarding progress",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/UserOnboardingUpdate" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/onboarding/agents": {
+      "get": {
+        "tags": ["v1", "onboarding"],
+        "summary": "Get recommended agents",
+        "operationId": "getV1Get recommended agents",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    },
+    "/api/onboarding/enabled": {
+      "get": {
+        "tags": ["v1", "onboarding", "public"],
+        "summary": "Check onboarding enabled",
+        "operationId": "getV1Check onboarding enabled",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    },
+    "/api/blocks": {
+      "get": {
+        "tags": ["v1", "blocks"],
+        "summary": "List available blocks",
+        "operationId": "getV1List available blocks",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": { "additionalProperties": true, "type": "object" },
+                  "type": "array",
+                  "title": "Response Getv1List Available Blocks"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/blocks/{block_id}/execute": {
+      "post": {
+        "tags": ["v1", "blocks"],
+        "summary": "Execute graph block",
+        "operationId": "postV1Execute graph block",
+        "parameters": [
+          {
+            "name": "block_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Block Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "type": "object",
+                "additionalProperties": true,
+                "title": "Data"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "additionalProperties": { "type": "array", "items": {} },
+                  "title": "Response Postv1Execute Graph Block"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/files/upload": {
+      "post": {
+        "tags": ["v1", "files"],
+        "summary": "Upload file to cloud storage",
+        "description": "Upload a file to cloud storage and return a storage key that can be used\nwith FileStoreBlock and AgentFileInputBlock.\n\nArgs:\n    file: The file to upload\n    user_id: The user ID\n    provider: Cloud storage provider (\"gcs\", \"s3\", \"azure\")\n    expiration_hours: Hours until file expires (1-48)\n\nReturns:\n    Dict containing the cloud storage path and signed URL",
+        "operationId": "postV1Upload file to cloud storage",
+        "parameters": [
+          {
+            "name": "provider",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "string",
+              "default": "gcs",
+              "title": "Provider"
+            }
+          },
+          {
+            "name": "expiration_hours",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "default": 24,
+              "title": "Expiration Hours"
+            }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "multipart/form-data": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV1Upload_file_to_cloud_storage"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/UploadFileResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits": {
+      "get": {
+        "tags": ["v1", "credits"],
+        "summary": "Get user credits",
+        "operationId": "getV1Get user credits",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "additionalProperties": { "type": "integer" },
+                  "type": "object",
+                  "title": "Response Getv1Get User Credits"
+                }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "credits"],
+        "summary": "Request credit top up",
+        "operationId": "postV1Request credit top up",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/RequestTopUp" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "patch": {
+        "tags": ["v1", "credits"],
+        "summary": "Fulfill checkout session",
+        "operationId": "patchV1Fulfill checkout session",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    },
+    "/api/credits/{transaction_key}/refund": {
+      "post": {
+        "tags": ["v1", "credits"],
+        "summary": "Refund credit transaction",
+        "operationId": "postV1Refund credit transaction",
+        "parameters": [
+          {
+            "name": "transaction_key",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Transaction Key" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "type": "object",
+                "additionalProperties": { "type": "string" },
+                "title": "Metadata"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "integer",
+                  "title": "Response Postv1Refund Credit Transaction"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits/auto-top-up": {
+      "get": {
+        "tags": ["v1", "credits"],
+        "summary": "Get auto top up",
+        "operationId": "getV1Get auto top up",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/AutoTopUpConfig" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "credits"],
+        "summary": "Configure auto top up",
+        "operationId": "postV1Configure auto top up",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/AutoTopUpConfig" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string",
+                  "title": "Response Postv1Configure Auto Top Up"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits/stripe_webhook": {
+      "post": {
+        "tags": ["v1", "credits"],
+        "summary": "Handle Stripe webhooks",
+        "operationId": "postV1Handle stripe webhooks",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    },
+    "/api/credits/manage": {
+      "get": {
+        "tags": ["v1", "credits"],
+        "summary": "Manage payment methods",
+        "operationId": "getV1Manage payment methods",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "additionalProperties": { "type": "string" },
+                  "type": "object",
+                  "title": "Response Getv1Manage Payment Methods"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits/transactions": {
+      "get": {
+        "tags": ["v1", "credits"],
+        "summary": "Get credit history",
+        "operationId": "getV1Get credit history",
+        "parameters": [
+          {
+            "name": "transaction_time",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [
+                { "type": "string", "format": "date-time" },
+                { "type": "null" }
+              ],
+              "title": "Transaction Time"
+            }
+          },
+          {
+            "name": "transaction_type",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Transaction Type"
+            }
+          },
+          {
+            "name": "transaction_count_limit",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "default": 100,
+              "title": "Transaction Count Limit"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/TransactionHistory" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits/refunds": {
+      "get": {
+        "tags": ["v1", "credits"],
+        "summary": "Get refund requests",
+        "operationId": "getV1Get refund requests",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": { "$ref": "#/components/schemas/RefundRequest" },
+                  "type": "array",
+                  "title": "Response Getv1Get Refund Requests"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "List user graphs",
+        "operationId": "getV1List user graphs",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": { "$ref": "#/components/schemas/GraphMeta" },
+                  "type": "array",
+                  "title": "Response Getv1List User Graphs"
+                }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "graphs"],
+        "summary": "Create new graph",
+        "operationId": "postV1Create new graph",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/CreateGraph" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/GraphModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/versions/{version}": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "Get graph version",
+        "operationId": "getV1Get graph version",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "version",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "anyOf": [{ "type": "integer" }, { "type": "null" }],
+              "title": "Version"
+            }
+          },
+          {
+            "name": "for_export",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "boolean",
+              "default": false,
+              "title": "For Export"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/GraphModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "Get specific graph",
+        "operationId": "getV1Get specific graph",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "version",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "integer" }, { "type": "null" }],
+              "title": "Version"
+            }
+          },
+          {
+            "name": "for_export",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "boolean",
+              "default": false,
+              "title": "For Export"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/GraphModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": ["v1", "graphs"],
+        "summary": "Delete graph permanently",
+        "operationId": "deleteV1Delete graph permanently",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/DeleteGraphResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "put": {
+        "tags": ["v1", "graphs"],
+        "summary": "Update graph version",
+        "operationId": "putV1Update graph version",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/Graph" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/GraphModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/versions": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "Get all graph versions",
+        "operationId": "getV1Get all graph versions",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": { "$ref": "#/components/schemas/GraphModel" },
+                  "title": "Response Getv1Get All Graph Versions"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/versions/active": {
+      "put": {
+        "tags": ["v1", "graphs"],
+        "summary": "Set active graph version",
+        "operationId": "putV1Set active graph version",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/SetGraphActiveVersion" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/execute/{graph_version}": {
+      "post": {
+        "tags": ["v1", "graphs"],
+        "summary": "Execute graph agent",
+        "operationId": "postV1Execute graph agent",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "graph_version",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "anyOf": [{ "type": "integer" }, { "type": "null" }],
+              "title": "Graph Version"
+            }
+          },
+          {
+            "name": "preset_id",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Preset Id"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV1Execute_graph_agent"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ExecuteGraphResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/executions/{graph_exec_id}/stop": {
+      "post": {
+        "tags": ["v1", "graphs"],
+        "summary": "Stop graph execution",
+        "operationId": "postV1Stop graph execution",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "graph_exec_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Exec Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "anyOf": [
+                    { "$ref": "#/components/schemas/GraphExecutionMeta" },
+                    { "type": "null" }
+                  ],
+                  "title": "Response Postv1Stop Graph Execution"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/executions": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "List all executions",
+        "operationId": "getV1List all executions",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": {
+                    "$ref": "#/components/schemas/GraphExecutionMeta"
+                  },
+                  "type": "array",
+                  "title": "Response Getv1List All Executions"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/executions": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "List graph executions",
+        "operationId": "getV1List graph executions",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "description": "Page number (1-indexed)",
+              "default": 1,
+              "title": "Page"
+            },
+            "description": "Page number (1-indexed)"
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "maximum": 100,
+              "minimum": 1,
+              "description": "Number of executions per page",
+              "default": 25,
+              "title": "Page Size"
+            },
+            "description": "Number of executions per page"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/GraphExecutionsPaginated"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/executions/{graph_exec_id}": {
+      "get": {
+        "tags": ["v1", "graphs"],
+        "summary": "Get execution details",
+        "operationId": "getV1Get execution details",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "graph_exec_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Exec Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "anyOf": [
+                    { "$ref": "#/components/schemas/GraphExecution" },
+                    { "$ref": "#/components/schemas/GraphExecutionWithNodes" }
+                  ],
+                  "title": "Response Getv1Get Execution Details"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/executions/{graph_exec_id}": {
+      "delete": {
+        "tags": ["v1", "graphs"],
+        "summary": "Delete graph execution",
+        "operationId": "deleteV1Delete graph execution",
+        "parameters": [
+          {
+            "name": "graph_exec_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Exec Id" }
+          }
+        ],
+        "responses": {
+          "204": { "description": "Successful Response" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/graphs/{graph_id}/schedules": {
+      "post": {
+        "tags": ["v1", "schedules"],
+        "summary": "Create execution schedule",
+        "operationId": "postV1Create execution schedule",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "description": "ID of the graph to schedule",
+              "title": "Graph Id"
+            },
+            "description": "ID of the graph to schedule"
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/ScheduleCreationRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/GraphExecutionJobInfo"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": ["v1", "schedules"],
+        "summary": "List execution schedules for a graph",
+        "operationId": "getV1List execution schedules for a graph",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/GraphExecutionJobInfo"
+                  },
+                  "title": "Response Getv1List Execution Schedules For A Graph"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/schedules": {
+      "get": {
+        "tags": ["v1", "schedules"],
+        "summary": "List execution schedules for a user",
+        "operationId": "getV1List execution schedules for a user",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": {
+                    "$ref": "#/components/schemas/GraphExecutionJobInfo"
+                  },
+                  "type": "array",
+                  "title": "Response Getv1List Execution Schedules For A User"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/schedules/{schedule_id}": {
+      "delete": {
+        "tags": ["v1", "schedules"],
+        "summary": "Delete execution schedule",
+        "operationId": "deleteV1Delete execution schedule",
+        "parameters": [
+          {
+            "name": "schedule_id",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "description": "ID of the schedule to delete",
+              "title": "Schedule Id"
+            },
+            "description": "ID of the schedule to delete"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "additionalProperties": true,
+                  "title": "Response Deletev1Delete Execution Schedule"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/api-keys": {
+      "get": {
+        "tags": ["v1", "api-keys"],
+        "summary": "List user API keys",
+        "description": "List all API keys for the user",
+        "operationId": "getV1List user api keys",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "anyOf": [
+                    {
+                      "items": {
+                        "$ref": "#/components/schemas/APIKeyWithoutHash"
+                      },
+                      "type": "array"
+                    },
+                    {
+                      "additionalProperties": { "type": "string" },
+                      "type": "object"
+                    }
+                  ],
+                  "title": "Response Getv1List User Api Keys"
+                }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v1", "api-keys"],
+        "summary": "Create new API key",
+        "description": "Create a new API key",
+        "operationId": "postV1Create new api key",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/CreateAPIKeyRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/CreateAPIKeyResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/api-keys/{key_id}": {
+      "get": {
+        "tags": ["v1", "api-keys"],
+        "summary": "Get specific API key",
+        "description": "Get a specific API key",
+        "operationId": "getV1Get specific api key",
+        "parameters": [
+          {
+            "name": "key_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Key Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/APIKeyWithoutHash" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": ["v1", "api-keys"],
+        "summary": "Revoke API key",
+        "description": "Revoke an API key",
+        "operationId": "deleteV1Revoke api key",
+        "parameters": [
+          {
+            "name": "key_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Key Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/APIKeyWithoutHash" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/api-keys/{key_id}/suspend": {
+      "post": {
+        "tags": ["v1", "api-keys"],
+        "summary": "Suspend API key",
+        "description": "Suspend an API key",
+        "operationId": "postV1Suspend api key",
+        "parameters": [
+          {
+            "name": "key_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Key Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/APIKeyWithoutHash" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/api-keys/{key_id}/permissions": {
+      "put": {
+        "tags": ["v1", "api-keys"],
+        "summary": "Update key permissions",
+        "description": "Update API key permissions",
+        "operationId": "putV1Update key permissions",
+        "parameters": [
+          {
+            "name": "key_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Key Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/UpdatePermissionsRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/APIKeyWithoutHash" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/profile": {
+      "get": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Get user profile",
+        "description": "Get the profile details for the authenticated user.",
+        "operationId": "getV2Get user profile",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ProfileDetails" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Update user profile",
+        "description": "Update the store profile for the authenticated user.\n\nArgs:\n    profile (Profile): The updated profile details\n    user_id (str): ID of the authenticated user\n\nReturns:\n    CreatorDetails: The updated profile\n\nRaises:\n    HTTPException: If there is an error updating the profile",
+        "operationId": "postV2Update user profile",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/Profile" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/CreatorDetails" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/agents": {
+      "get": {
+        "tags": ["v2", "store", "public"],
+        "summary": "List store agents",
+        "description": "Get a paginated list of agents from the store with optional filtering and sorting.\n\nArgs:\n    featured (bool, optional): Filter to only show featured agents. Defaults to False.\n    creator (str | None, optional): Filter agents by creator username. Defaults to None.\n    sorted_by (str | None, optional): Sort agents by \"runs\" or \"rating\". Defaults to None.\n    search_query (str | None, optional): Search agents by name, subheading and description. Defaults to None.\n    category (str | None, optional): Filter agents by category. Defaults to None.\n    page (int, optional): Page number for pagination. Defaults to 1.\n    page_size (int, optional): Number of agents per page. Defaults to 20.\n\nReturns:\n    StoreAgentsResponse: Paginated list of agents matching the filters\n\nRaises:\n    HTTPException: If page or page_size are less than 1\n\nUsed for:\n- Home Page Featured Agents\n- Home Page Top Agents\n- Search Results\n- Agent Details - Other Agents By Creator\n- Agent Details - Similar Agents\n- Creator Details - Agents By Creator",
+        "operationId": "getV2List store agents",
+        "parameters": [
+          {
+            "name": "featured",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "boolean",
+              "default": false,
+              "title": "Featured"
+            }
+          },
+          {
+            "name": "creator",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Creator"
+            }
+          },
+          {
+            "name": "sorted_by",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sorted By"
+            }
+          },
+          {
+            "name": "search_query",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Search Query"
+            }
+          },
+          {
+            "name": "category",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Category"
+            }
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 20, "title": "Page Size" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreAgentsResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/agents/{username}/{agent_name}": {
+      "get": {
+        "tags": ["v2", "store", "public"],
+        "summary": "Get specific agent",
+        "description": "This is only used on the AgentDetails Page\n\nIt returns the store listing agents details.",
+        "operationId": "getV2Get specific agent",
+        "parameters": [
+          {
+            "name": "username",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Username" }
+          },
+          {
+            "name": "agent_name",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Agent Name" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreAgentDetails" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/graph/{store_listing_version_id}": {
+      "get": {
+        "tags": ["v2", "store"],
+        "summary": "Get agent graph",
+        "description": "Get Agent Graph from Store Listing Version ID.",
+        "operationId": "getV2Get agent graph",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Store Listing Version Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/agents/{store_listing_version_id}": {
+      "get": {
+        "tags": ["v2", "store"],
+        "summary": "Get agent by version",
+        "description": "Get Store Agent Details from Store Listing Version ID.",
+        "operationId": "getV2Get agent by version",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Store Listing Version Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreAgentDetails" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/agents/{username}/{agent_name}/review": {
+      "post": {
+        "tags": ["v2", "store"],
+        "summary": "Create agent review",
+        "description": "Create a review for a store agent.\n\nArgs:\n    username: Creator's username\n    agent_name: Name/slug of the agent\n    review: Review details including score and optional comments\n    user_id: ID of authenticated user creating the review\n\nReturns:\n    The created review",
+        "operationId": "postV2Create agent review",
+        "parameters": [
+          {
+            "name": "username",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Username" }
+          },
+          {
+            "name": "agent_name",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Agent Name" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/StoreReviewCreate" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreReview" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/creators": {
+      "get": {
+        "tags": ["v2", "store", "public"],
+        "summary": "List store creators",
+        "description": "This is needed for:\n- Home Page Featured Creators\n- Search Results Page\n\n---\n\nTo support this functionality we need:\n- featured: bool - to limit the list to just featured agents\n- search_query: str - vector search based on the creators profile description.\n- sorted_by: [agent_rating, agent_runs] -",
+        "operationId": "getV2List store creators",
+        "parameters": [
+          {
+            "name": "featured",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "boolean",
+              "default": false,
+              "title": "Featured"
+            }
+          },
+          {
+            "name": "search_query",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Search Query"
+            }
+          },
+          {
+            "name": "sorted_by",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sorted By"
+            }
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 20, "title": "Page Size" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/CreatorsResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/creator/{username}": {
+      "get": {
+        "tags": ["v2", "store", "public"],
+        "summary": "Get creator details",
+        "description": "Get the details of a creator\n- Creator Details Page",
+        "operationId": "getV2Get creator details",
+        "parameters": [
+          {
+            "name": "username",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Username" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/CreatorDetails" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/myagents": {
+      "get": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Get my agents",
+        "operationId": "getV2Get my agents",
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "default": 1,
+              "title": "Page"
+            }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "default": 20,
+              "title": "Page Size"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/MyAgentsResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/submissions/{submission_id}": {
+      "delete": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Delete store submission",
+        "description": "Delete a store listing submission.\n\nArgs:\n    user_id (str): ID of the authenticated user\n    submission_id (str): ID of the submission to be deleted\n\nReturns:\n    bool: True if the submission was successfully deleted, False otherwise",
+        "operationId": "deleteV2Delete store submission",
+        "parameters": [
+          {
+            "name": "submission_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Submission Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "boolean",
+                  "title": "Response Deletev2Delete Store Submission"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/submissions": {
+      "get": {
+        "tags": ["v2", "store", "private"],
+        "summary": "List my submissions",
+        "description": "Get a paginated list of store submissions for the authenticated user.\n\nArgs:\n    user_id (str): ID of the authenticated user\n    page (int, optional): Page number for pagination. Defaults to 1.\n    page_size (int, optional): Number of submissions per page. Defaults to 20.\n\nReturns:\n    StoreListingsResponse: Paginated list of store submissions\n\nRaises:\n    HTTPException: If page or page_size are less than 1",
+        "operationId": "getV2List my submissions",
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 20, "title": "Page Size" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/StoreSubmissionsResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Create store submission",
+        "description": "Create a new store listing submission.\n\nArgs:\n    submission_request (StoreSubmissionRequest): The submission details\n    user_id (str): ID of the authenticated user submitting the listing\n\nReturns:\n    StoreSubmission: The created store submission\n\nRaises:\n    HTTPException: If there is an error creating the submission",
+        "operationId": "postV2Create store submission",
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/StoreSubmissionRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreSubmission" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/submissions/{store_listing_version_id}": {
+      "put": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Edit store submission",
+        "description": "Edit an existing store listing submission.\n\nArgs:\n    store_listing_version_id (str): ID of the store listing version to edit\n    submission_request (StoreSubmissionRequest): The updated submission details\n    user_id (str): ID of the authenticated user editing the listing\n\nReturns:\n    StoreSubmission: The updated store submission\n\nRaises:\n    HTTPException: If there is an error editing the submission",
+        "operationId": "putV2Edit store submission",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Store Listing Version Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/StoreSubmissionEditRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreSubmission" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/submissions/media": {
+      "post": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Upload submission media",
+        "description": "Upload media (images/videos) for a store listing submission.\n\nArgs:\n    file (UploadFile): The media file to upload\n    user_id (str): ID of the authenticated user uploading the media\n\nReturns:\n    str: URL of the uploaded media file\n\nRaises:\n    HTTPException: If there is an error uploading the media",
+        "operationId": "postV2Upload submission media",
+        "requestBody": {
+          "content": {
+            "multipart/form-data": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV2Upload_submission_media"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/submissions/generate_image": {
+      "post": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Generate submission image",
+        "description": "Generate an image for a store listing submission.\n\nArgs:\n    agent_id (str): ID of the agent to generate an image for\n    user_id (str): ID of the authenticated user\n\nReturns:\n    JSONResponse: JSON containing the URL of the generated image",
+        "operationId": "postV2Generate submission image",
+        "parameters": [
+          {
+            "name": "agent_id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "title": "Agent Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/download/agents/{store_listing_version_id}": {
+      "get": {
+        "tags": ["v2", "store", "public"],
+        "summary": "Download agent file",
+        "description": "Download the agent file by streaming its content.\n\nArgs:\n    store_listing_version_id (str): The ID of the agent to download\n\nReturns:\n    StreamingResponse: A streaming response containing the agent's graph data.\n\nRaises:\n    HTTPException: If the agent is not found or an unexpected error occurs.",
+        "operationId": "getV2Download agent file",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "description": "The ID of the agent to download",
+              "title": "Store Listing Version Id"
+            },
+            "description": "The ID of the agent to download"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/builder/suggestions": {
+      "get": {
+        "tags": ["v2"],
+        "summary": "Get Builder suggestions",
+        "description": "Get all suggestions for the Blocks Menu.",
+        "operationId": "getV2Get builder suggestions",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/SuggestionsResponse" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/builder/categories": {
+      "get": {
+        "tags": ["v2"],
+        "summary": "Get Builder block categories",
+        "description": "Get all block categories with a specified number of blocks per category.",
+        "operationId": "getV2Get builder block categories",
+        "parameters": [
+          {
+            "name": "blocks_per_category",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "default": 3,
+              "title": "Blocks Per Category"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/BlockCategoryResponse"
+                  },
+                  "title": "Response Getv2Get Builder Block Categories"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/builder/blocks": {
+      "get": {
+        "tags": ["v2"],
+        "summary": "Get Builder blocks",
+        "description": "Get blocks based on either category, type, or provider.",
+        "operationId": "getV2Get builder blocks",
+        "parameters": [
+          {
+            "name": "category",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Category"
+            }
+          },
+          {
+            "name": "type",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [
+                {
+                  "enum": ["all", "input", "action", "output"],
+                  "type": "string"
+                },
+                { "type": "null" }
+              ],
+              "title": "Type"
+            }
+          },
+          {
+            "name": "provider",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "description": "Provider name for integrations. Can be any string value, including custom provider names."
+                },
+                { "type": "null" }
+              ],
+              "title": "Provider"
+            }
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 50, "title": "Page Size" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/BlockResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/builder/providers": {
+      "get": {
+        "tags": ["v2"],
+        "summary": "Get Builder integration providers",
+        "description": "Get all integration providers with their block counts.",
+        "operationId": "getV2Get builder integration providers",
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 50, "title": "Page Size" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ProviderResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/builder/search": {
+      "post": {
+        "tags": ["v2", "store", "private"],
+        "summary": "Builder search",
+        "description": "Search for blocks (including integrations), marketplace agents, and user library agents.",
+        "operationId": "postV2Builder search",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/SearchRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/SearchResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/builder/counts": {
+      "get": {
+        "tags": ["v2"],
+        "summary": "Get Builder item counts",
+        "description": "Get item counts for the menu categories in the Blocks Menu.",
+        "operationId": "getV2Get builder item counts",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/CountResponse" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/admin/listings": {
+      "get": {
+        "tags": ["v2", "admin", "store", "admin"],
+        "summary": "Get Admin Listings History",
+        "description": "Get store listings with their version history for admins.\n\nThis provides a consolidated view of listings with their versions,\nallowing for an expandable UI in the admin dashboard.\n\nArgs:\n    status: Filter by submission status (PENDING, APPROVED, REJECTED)\n    search: Search by name, description, or user email\n    page: Page number for pagination\n    page_size: Number of items per page\n\nReturns:\n    StoreListingsWithVersionsResponse with listings and their versions",
+        "operationId": "getV2Get admin listings history",
+        "parameters": [
+          {
+            "name": "status",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [
+                { "$ref": "#/components/schemas/SubmissionStatus" },
+                { "type": "null" }
+              ],
+              "title": "Status"
+            }
+          },
+          {
+            "name": "search",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Search"
+            }
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 20, "title": "Page Size" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/StoreListingsWithVersionsResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/admin/submissions/{store_listing_version_id}/review": {
+      "post": {
+        "tags": ["v2", "admin", "store", "admin"],
+        "summary": "Review Store Submission",
+        "description": "Review a store listing submission.\n\nArgs:\n    store_listing_version_id: ID of the submission to review\n    request: Review details including approval status and comments\n    user: Authenticated admin user performing the review\n\nReturns:\n    StoreSubmission with updated review information",
+        "operationId": "postV2Review store submission",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Store Listing Version Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/ReviewSubmissionRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/StoreSubmission" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/store/admin/submissions/download/{store_listing_version_id}": {
+      "get": {
+        "tags": ["v2", "admin", "store", "admin", "store", "admin"],
+        "summary": "Admin Download Agent File",
+        "description": "Download the agent file by streaming its content.\n\nArgs:\n    store_listing_version_id (str): The ID of the agent to download\n\nReturns:\n    StreamingResponse: A streaming response containing the agent's graph data.\n\nRaises:\n    HTTPException: If the agent is not found or an unexpected error occurs.",
+        "operationId": "getV2Admin download agent file",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "description": "The ID of the agent to download",
+              "title": "Store Listing Version Id"
+            },
+            "description": "The ID of the agent to download"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits/admin/add_credits": {
+      "post": {
+        "tags": ["v2", "admin", "credits", "admin"],
+        "summary": "Add Credits to User",
+        "operationId": "postV2Add credits to user",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV2Add_credits_to_user"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AddUserCreditsResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/credits/admin/users_history": {
+      "get": {
+        "tags": ["v2", "admin", "credits", "admin"],
+        "summary": "Get All Users History",
+        "operationId": "getV2Get all users history",
+        "parameters": [
+          {
+            "name": "search",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Search"
+            }
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 20, "title": "Page Size" }
+          },
+          {
+            "name": "transaction_filter",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [
+                { "$ref": "#/components/schemas/CreditTransactionType" },
+                { "type": "null" }
+              ],
+              "title": "Transaction Filter"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/UserHistoryResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/presets": {
+      "get": {
+        "tags": ["v2", "presets"],
+        "summary": "List presets",
+        "description": "Retrieve a paginated list of presets for the current user.",
+        "operationId": "getV2List presets",
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "default": 1,
+              "title": "Page"
+            }
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "default": 10,
+              "title": "Page Size"
+            }
+          },
+          {
+            "name": "graph_id",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "description": "Allows to filter presets by a specific agent graph",
+              "title": "Graph Id"
+            },
+            "description": "Allows to filter presets by a specific agent graph"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/LibraryAgentPresetResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v2", "presets"],
+        "summary": "Create a new preset",
+        "description": "Create a new preset for the current user.",
+        "operationId": "postV2Create a new preset",
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "anyOf": [
+                  {
+                    "$ref": "#/components/schemas/LibraryAgentPresetCreatable"
+                  },
+                  {
+                    "$ref": "#/components/schemas/LibraryAgentPresetCreatableFromGraphExecution"
+                  }
+                ],
+                "title": "Preset"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgentPreset" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/presets/{preset_id}": {
+      "get": {
+        "tags": ["v2", "presets"],
+        "summary": "Get a specific preset",
+        "description": "Retrieve details for a specific preset by its ID.",
+        "operationId": "getV2Get a specific preset",
+        "parameters": [
+          {
+            "name": "preset_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Preset Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgentPreset" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "patch": {
+        "tags": ["v2", "presets"],
+        "summary": "Update an existing preset",
+        "description": "Update an existing preset by its ID.",
+        "operationId": "patchV2Update an existing preset",
+        "parameters": [
+          {
+            "name": "preset_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Preset Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/LibraryAgentPresetUpdatable"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgentPreset" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": ["v2", "presets"],
+        "summary": "Delete a preset",
+        "description": "Delete an existing preset by its ID.",
+        "operationId": "deleteV2Delete a preset",
+        "parameters": [
+          {
+            "name": "preset_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Preset Id" }
+          }
+        ],
+        "responses": {
+          "204": { "description": "Successful Response" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/presets/setup-trigger": {
+      "post": {
+        "tags": ["v2", "presets"],
+        "summary": "Setup Trigger",
+        "description": "Sets up a webhook-triggered `LibraryAgentPreset` for a `LibraryAgent`.\nReturns the correspondingly created `LibraryAgentPreset` with `webhook_id` set.",
+        "operationId": "postV2SetupTrigger",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/TriggeredPresetSetupRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgentPreset" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/presets/{preset_id}/execute": {
+      "post": {
+        "tags": ["v2", "presets", "presets"],
+        "summary": "Execute a preset",
+        "description": "Execute a preset with the given graph and node input for the current user.",
+        "operationId": "postV2Execute a preset",
+        "parameters": [
+          {
+            "name": "preset_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Preset Id" }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV2Execute_a_preset"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "additionalProperties": true,
+                  "title": "Response Postv2Execute A Preset"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/agents": {
+      "get": {
+        "tags": ["v2", "library", "private"],
+        "summary": "List Library Agents",
+        "description": "Get all agents in the user's library (both created and saved).\n\nArgs:\n    user_id: ID of the authenticated user.\n    search_term: Optional search term to filter agents by name/description.\n    filter_by: List of filters to apply (favorites, created by user).\n    sort_by: List of sorting criteria (created date, updated date).\n    page: Page number to retrieve.\n    page_size: Number of agents per page.\n\nReturns:\n    A LibraryAgentResponse containing agents and pagination metadata.\n\nRaises:\n    HTTPException: If a server/database error occurs.",
+        "operationId": "getV2List library agents",
+        "parameters": [
+          {
+            "name": "search_term",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "description": "Search term to filter agents",
+              "title": "Search Term"
+            },
+            "description": "Search term to filter agents"
+          },
+          {
+            "name": "sort_by",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "$ref": "#/components/schemas/LibraryAgentSort",
+              "description": "Criteria to sort results by",
+              "default": "updatedAt"
+            },
+            "description": "Criteria to sort results by"
+          },
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "description": "Page number to retrieve (must be >= 1)",
+              "default": 1,
+              "title": "Page"
+            },
+            "description": "Page number to retrieve (must be >= 1)"
+          },
+          {
+            "name": "page_size",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "type": "integer",
+              "minimum": 1,
+              "description": "Number of agents per page (must be >= 1)",
+              "default": 15,
+              "title": "Page Size"
+            },
+            "description": "Number of agents per page (must be >= 1)"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/LibraryAgentResponse"
+                }
+              }
+            }
+          },
+          "500": {
+            "description": "Server error",
+            "content": { "application/json": {} }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "tags": ["v2", "library", "private"],
+        "summary": "Add Marketplace Agent",
+        "description": "Add an agent from the marketplace to the user's library.\n\nArgs:\n    store_listing_version_id: ID of the store listing version to add.\n    user_id: ID of the authenticated user.\n\nReturns:\n    library_model.LibraryAgent: Agent added to the library\n\nRaises:\n    HTTPException(404): If the listing version is not found.\n    HTTPException(500): If a server/database error occurs.",
+        "operationId": "postV2Add marketplace agent",
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/Body_postV2Add_marketplace_agent"
+              }
+            }
+          }
+        },
+        "responses": {
+          "201": {
+            "description": "Agent added successfully",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgent" }
+              }
+            }
+          },
+          "404": { "description": "Store listing version not found" },
+          "500": { "description": "Server error" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/agents/{library_agent_id}": {
+      "get": {
+        "tags": ["v2", "library", "private"],
+        "summary": "Get Library Agent",
+        "operationId": "getV2Get library agent",
+        "parameters": [
+          {
+            "name": "library_agent_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Library Agent Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgent" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "patch": {
+        "tags": ["v2", "library", "private"],
+        "summary": "Update Library Agent",
+        "description": "Update the library agent with the given fields.\n\nArgs:\n    library_agent_id: ID of the library agent to update.\n    payload: Fields to update (auto_update_version, is_favorite, etc.).\n    user_id: ID of the authenticated user.\n\nRaises:\n    HTTPException(500): If a server/database error occurs.",
+        "operationId": "patchV2Update library agent",
+        "parameters": [
+          {
+            "name": "library_agent_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Library Agent Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/LibraryAgentUpdateRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Agent updated successfully",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgent" }
+              }
+            }
+          },
+          "500": { "description": "Server error" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": ["v2", "library", "private"],
+        "summary": "Delete Library Agent",
+        "description": "Soft-delete the specified library agent.\n\nArgs:\n    library_agent_id: ID of the library agent to delete.\n    user_id: ID of the authenticated user.\n\nReturns:\n    204 No Content if successful.\n\nRaises:\n    HTTPException(404): If the agent does not exist.\n    HTTPException(500): If a server/database error occurs.",
+        "operationId": "deleteV2Delete library agent",
+        "parameters": [
+          {
+            "name": "library_agent_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Library Agent Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "204": { "description": "Agent deleted successfully" },
+          "404": { "description": "Agent not found" },
+          "500": { "description": "Server error" },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/agents/by-graph/{graph_id}": {
+      "get": {
+        "tags": ["v2", "library", "private"],
+        "summary": "Get Library Agent By Graph Id",
+        "operationId": "getV2GetLibraryAgentByGraphId",
+        "parameters": [
+          {
+            "name": "graph_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Graph Id" }
+          },
+          {
+            "name": "version",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "integer" }, { "type": "null" }],
+              "title": "Version"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgent" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/agents/marketplace/{store_listing_version_id}": {
+      "get": {
+        "tags": ["v2", "library", "private", "store, library"],
+        "summary": "Get Agent By Store ID",
+        "description": "Get Library Agent from Store Listing Version ID.",
+        "operationId": "getV2Get agent by store id",
+        "parameters": [
+          {
+            "name": "store_listing_version_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Store Listing Version Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "anyOf": [
+                    { "$ref": "#/components/schemas/LibraryAgent" },
+                    { "type": "null" }
+                  ],
+                  "title": "Response Getv2Get Agent By Store Id"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/library/agents/{library_agent_id}/fork": {
+      "post": {
+        "tags": ["v2", "library", "private"],
+        "summary": "Fork Library Agent",
+        "operationId": "postV2Fork library agent",
+        "parameters": [
+          {
+            "name": "library_agent_id",
+            "in": "path",
+            "required": true,
+            "schema": { "type": "string", "title": "Library Agent Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/LibraryAgent" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/otto/ask": {
+      "post": {
+        "tags": ["v2", "otto"],
+        "summary": "Proxy Otto Chat Request",
+        "description": "Proxy requests to Otto API while adding necessary security headers and logging.\nRequires an authenticated user.",
+        "operationId": "postV2Proxy otto chat request",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/ChatRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ApiResponse" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/turnstile/verify": {
+      "post": {
+        "tags": ["v2", "turnstile"],
+        "summary": "Verify Turnstile Token",
+        "description": "Verify a Cloudflare Turnstile token.\nThis endpoint verifies a token returned by the Cloudflare Turnstile challenge\non the client side. It returns whether the verification was successful.",
+        "operationId": "postV2Verify turnstile token",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/TurnstileVerifyRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/TurnstileVerifyResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/email/unsubscribe": {
+      "post": {
+        "tags": ["v1", "email"],
+        "summary": "One Click Email Unsubscribe",
+        "operationId": "postV1One click email unsubscribe",
+        "parameters": [
+          {
+            "name": "token",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "title": "Token" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/api/email/": {
+      "post": {
+        "tags": ["v1", "email"],
+        "summary": "Handle Postmark Email Webhooks",
+        "operationId": "postV1Handle postmark email webhooks",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/PostmarkDeliveryWebhook" },
+                  { "$ref": "#/components/schemas/PostmarkBounceWebhook" },
+                  {
+                    "$ref": "#/components/schemas/PostmarkSpamComplaintWebhook"
+                  },
+                  { "$ref": "#/components/schemas/PostmarkOpenWebhook" },
+                  { "$ref": "#/components/schemas/PostmarkClickWebhook" },
+                  {
+                    "$ref": "#/components/schemas/PostmarkSubscriptionChangeWebhook"
+                  }
+                ],
+                "title": "Webhook",
+                "discriminator": {
+                  "propertyName": "RecordType",
+                  "mapping": {
+                    "Delivery": "#/components/schemas/PostmarkDeliveryWebhook",
+                    "Bounce": "#/components/schemas/PostmarkBounceWebhook",
+                    "SpamComplaint": "#/components/schemas/PostmarkSpamComplaintWebhook",
+                    "Open": "#/components/schemas/PostmarkOpenWebhook",
+                    "Click": "#/components/schemas/PostmarkClickWebhook",
+                    "SubscriptionChange": "#/components/schemas/PostmarkSubscriptionChangeWebhook"
+                  }
+                }
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "APIKeyHeader": [] }]
+      }
+    },
+    "/health": {
+      "get": {
+        "tags": ["health"],
+        "summary": "Health",
+        "operationId": "getHealthHealth",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    }
+  },
+  "components": {
+    "schemas": {
+      "APIKeyCredentials": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "provider": { "type": "string", "title": "Provider" },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "type": {
+            "type": "string",
+            "const": "api_key",
+            "title": "Type",
+            "default": "api_key"
+          },
+          "api_key": {
+            "type": "string",
+            "format": "password",
+            "title": "Api Key",
+            "writeOnly": true
+          },
+          "expires_at": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Expires At",
+            "description": "Unix timestamp (seconds) indicating when the API key expires (if at all)"
+          }
+        },
+        "type": "object",
+        "required": ["provider", "api_key"],
+        "title": "APIKeyCredentials"
+      },
+      "APIKeyPermission": {
+        "type": "string",
+        "enum": ["EXECUTE_GRAPH", "READ_GRAPH", "EXECUTE_BLOCK", "READ_BLOCK"],
+        "title": "APIKeyPermission"
+      },
+      "APIKeyStatus": {
+        "type": "string",
+        "enum": ["ACTIVE", "REVOKED", "SUSPENDED"],
+        "title": "APIKeyStatus"
+      },
+      "APIKeyWithoutHash": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "name": { "type": "string", "title": "Name" },
+          "prefix": { "type": "string", "title": "Prefix" },
+          "postfix": { "type": "string", "title": "Postfix" },
+          "status": { "$ref": "#/components/schemas/APIKeyStatus" },
+          "permissions": {
+            "items": { "$ref": "#/components/schemas/APIKeyPermission" },
+            "type": "array",
+            "title": "Permissions"
+          },
+          "created_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Created At"
+          },
+          "last_used_at": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "Last Used At"
+          },
+          "revoked_at": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "Revoked At"
+          },
+          "description": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Description"
+          },
+          "user_id": { "type": "string", "title": "User Id" }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "name",
+          "prefix",
+          "postfix",
+          "status",
+          "permissions",
+          "created_at",
+          "last_used_at",
+          "revoked_at",
+          "description",
+          "user_id"
+        ],
+        "title": "APIKeyWithoutHash"
+      },
+      "AddUserCreditsResponse": {
+        "properties": {
+          "new_balance": { "type": "integer", "title": "New Balance" },
+          "transaction_key": { "type": "string", "title": "Transaction Key" }
+        },
+        "type": "object",
+        "required": ["new_balance", "transaction_key"],
+        "title": "AddUserCreditsResponse"
+      },
+      "AgentExecutionStatus": {
+        "type": "string",
+        "enum": [
+          "INCOMPLETE",
+          "QUEUED",
+          "RUNNING",
+          "COMPLETED",
+          "TERMINATED",
+          "FAILED"
+        ],
+        "title": "AgentExecutionStatus"
+      },
+      "ApiResponse": {
+        "properties": {
+          "answer": { "type": "string", "title": "Answer" },
+          "documents": {
+            "items": { "$ref": "#/components/schemas/Document" },
+            "type": "array",
+            "title": "Documents"
+          },
+          "success": { "type": "boolean", "title": "Success" }
+        },
+        "type": "object",
+        "required": ["answer", "documents", "success"],
+        "title": "ApiResponse"
+      },
+      "AutoTopUpConfig": {
+        "properties": {
+          "amount": { "type": "integer", "title": "Amount" },
+          "threshold": { "type": "integer", "title": "Threshold" }
+        },
+        "type": "object",
+        "required": ["amount", "threshold"],
+        "title": "AutoTopUpConfig"
+      },
+      "AyrshareSSOResponse": {
+        "properties": {
+          "sso_url": {
+            "type": "string",
+            "title": "Sso Url",
+            "description": "The SSO URL for Ayrshare integration"
+          },
+          "expires_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Expires At",
+            "description": "ISO timestamp when the URL expires"
+          }
+        },
+        "type": "object",
+        "required": ["sso_url", "expires_at"],
+        "title": "AyrshareSSOResponse"
+      },
+      "BaseGraph-Input": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "version": { "type": "integer", "title": "Version", "default": 1 },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/Node" },
+            "type": "array",
+            "title": "Nodes",
+            "default": []
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links",
+            "default": []
+          },
+          "forked_from_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Forked From Id"
+          },
+          "forked_from_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Forked From Version"
+          }
+        },
+        "type": "object",
+        "required": ["name", "description"],
+        "title": "BaseGraph"
+      },
+      "BaseGraph-Output": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "version": { "type": "integer", "title": "Version", "default": 1 },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/Node" },
+            "type": "array",
+            "title": "Nodes",
+            "default": []
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links",
+            "default": []
+          },
+          "forked_from_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Forked From Id"
+          },
+          "forked_from_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Forked From Version"
+          },
+          "input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Schema",
+            "readOnly": true
+          },
+          "output_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Output Schema",
+            "readOnly": true
+          },
+          "has_external_trigger": {
+            "type": "boolean",
+            "title": "Has External Trigger",
+            "readOnly": true
+          }
+        },
+        "type": "object",
+        "required": [
+          "name",
+          "description",
+          "input_schema",
+          "output_schema",
+          "has_external_trigger"
+        ],
+        "title": "BaseGraph"
+      },
+      "BlockCategoryResponse": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "total_blocks": { "type": "integer", "title": "Total Blocks" },
+          "blocks": {
+            "items": { "additionalProperties": true, "type": "object" },
+            "type": "array",
+            "title": "Blocks"
+          }
+        },
+        "type": "object",
+        "required": ["name", "total_blocks", "blocks"],
+        "title": "BlockCategoryResponse"
+      },
+      "BlockResponse": {
+        "properties": {
+          "blocks": {
+            "items": { "additionalProperties": true, "type": "object" },
+            "type": "array",
+            "title": "Blocks"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["blocks", "pagination"],
+        "title": "BlockResponse"
+      },
+      "Body_postV1Callback": {
+        "properties": {
+          "code": {
+            "type": "string",
+            "title": "Authorization code acquired by user login"
+          },
+          "state_token": { "type": "string", "title": "Anti-CSRF nonce" }
+        },
+        "type": "object",
+        "required": ["code", "state_token"],
+        "title": "Body_postV1Callback"
+      },
+      "Body_postV1Execute_graph_agent": {
+        "properties": {
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          },
+          "credentials_inputs": {
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CredentialsMetaInput"
+            },
+            "type": "object",
+            "title": "Credentials Inputs"
+          }
+        },
+        "type": "object",
+        "title": "Body_postV1Execute graph agent"
+      },
+      "Body_postV1LogRawAnalytics": {
+        "properties": {
+          "type": { "type": "string", "title": "Type" },
+          "data": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Data",
+            "description": "The data to log"
+          },
+          "data_index": {
+            "type": "string",
+            "title": "Data Index",
+            "description": "Indexable field for any count based analytical measures like page order clicking, tutorial step completion, etc."
+          }
+        },
+        "type": "object",
+        "required": ["type", "data", "data_index"],
+        "title": "Body_postV1LogRawAnalytics"
+      },
+      "Body_postV1Upload_file_to_cloud_storage": {
+        "properties": {
+          "file": { "type": "string", "format": "binary", "title": "File" }
+        },
+        "type": "object",
+        "required": ["file"],
+        "title": "Body_postV1Upload file to cloud storage"
+      },
+      "Body_postV2Add_credits_to_user": {
+        "properties": {
+          "user_id": { "type": "string", "title": "User Id" },
+          "amount": { "type": "integer", "title": "Amount" },
+          "comments": { "type": "string", "title": "Comments" }
+        },
+        "type": "object",
+        "required": ["user_id", "amount", "comments"],
+        "title": "Body_postV2Add credits to user"
+      },
+      "Body_postV2Add_marketplace_agent": {
+        "properties": {
+          "store_listing_version_id": {
+            "type": "string",
+            "title": "Store Listing Version Id"
+          }
+        },
+        "type": "object",
+        "required": ["store_listing_version_id"],
+        "title": "Body_postV2Add marketplace agent"
+      },
+      "Body_postV2Execute_a_preset": {
+        "properties": {
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          }
+        },
+        "type": "object",
+        "title": "Body_postV2Execute a preset"
+      },
+      "Body_postV2Upload_submission_media": {
+        "properties": {
+          "file": { "type": "string", "format": "binary", "title": "File" }
+        },
+        "type": "object",
+        "required": ["file"],
+        "title": "Body_postV2Upload submission media"
+      },
+      "ChatRequest": {
+        "properties": {
+          "query": { "type": "string", "title": "Query" },
+          "conversation_history": {
+            "items": { "$ref": "#/components/schemas/Message" },
+            "type": "array",
+            "title": "Conversation History"
+          },
+          "message_id": { "type": "string", "title": "Message Id" },
+          "include_graph_data": {
+            "type": "boolean",
+            "title": "Include Graph Data",
+            "default": false
+          },
+          "graph_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Graph Id"
+          }
+        },
+        "type": "object",
+        "required": ["query", "conversation_history", "message_id"],
+        "title": "ChatRequest"
+      },
+      "CountResponse": {
+        "properties": {
+          "all_blocks": { "type": "integer", "title": "All Blocks" },
+          "input_blocks": { "type": "integer", "title": "Input Blocks" },
+          "action_blocks": { "type": "integer", "title": "Action Blocks" },
+          "output_blocks": { "type": "integer", "title": "Output Blocks" },
+          "integrations": { "type": "integer", "title": "Integrations" },
+          "marketplace_agents": {
+            "type": "integer",
+            "title": "Marketplace Agents"
+          },
+          "my_agents": { "type": "integer", "title": "My Agents" }
+        },
+        "type": "object",
+        "required": [
+          "all_blocks",
+          "input_blocks",
+          "action_blocks",
+          "output_blocks",
+          "integrations",
+          "marketplace_agents",
+          "my_agents"
+        ],
+        "title": "CountResponse"
+      },
+      "CreateAPIKeyRequest": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "permissions": {
+            "items": { "$ref": "#/components/schemas/APIKeyPermission" },
+            "type": "array",
+            "title": "Permissions"
+          },
+          "description": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Description"
+          }
+        },
+        "type": "object",
+        "required": ["name", "permissions"],
+        "title": "CreateAPIKeyRequest"
+      },
+      "CreateAPIKeyResponse": {
+        "properties": {
+          "api_key": { "$ref": "#/components/schemas/APIKeyWithoutHash" },
+          "plain_text_key": { "type": "string", "title": "Plain Text Key" }
+        },
+        "type": "object",
+        "required": ["api_key", "plain_text_key"],
+        "title": "CreateAPIKeyResponse"
+      },
+      "CreateGraph": {
+        "properties": { "graph": { "$ref": "#/components/schemas/Graph" } },
+        "type": "object",
+        "required": ["graph"],
+        "title": "CreateGraph"
+      },
+      "Creator": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "username": { "type": "string", "title": "Username" },
+          "description": { "type": "string", "title": "Description" },
+          "avatar_url": { "type": "string", "title": "Avatar Url" },
+          "num_agents": { "type": "integer", "title": "Num Agents" },
+          "agent_rating": { "type": "number", "title": "Agent Rating" },
+          "agent_runs": { "type": "integer", "title": "Agent Runs" },
+          "is_featured": { "type": "boolean", "title": "Is Featured" }
+        },
+        "type": "object",
+        "required": [
+          "name",
+          "username",
+          "description",
+          "avatar_url",
+          "num_agents",
+          "agent_rating",
+          "agent_runs",
+          "is_featured"
+        ],
+        "title": "Creator"
+      },
+      "CreatorDetails": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "username": { "type": "string", "title": "Username" },
+          "description": { "type": "string", "title": "Description" },
+          "links": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Links"
+          },
+          "avatar_url": { "type": "string", "title": "Avatar Url" },
+          "agent_rating": { "type": "number", "title": "Agent Rating" },
+          "agent_runs": { "type": "integer", "title": "Agent Runs" },
+          "top_categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Top Categories"
+          }
+        },
+        "type": "object",
+        "required": [
+          "name",
+          "username",
+          "description",
+          "links",
+          "avatar_url",
+          "agent_rating",
+          "agent_runs",
+          "top_categories"
+        ],
+        "title": "CreatorDetails"
+      },
+      "CreatorsResponse": {
+        "properties": {
+          "creators": {
+            "items": { "$ref": "#/components/schemas/Creator" },
+            "type": "array",
+            "title": "Creators"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["creators", "pagination"],
+        "title": "CreatorsResponse"
+      },
+      "CredentialsDeletionNeedsConfirmationResponse": {
+        "properties": {
+          "deleted": {
+            "type": "boolean",
+            "const": false,
+            "title": "Deleted",
+            "default": false
+          },
+          "need_confirmation": {
+            "type": "boolean",
+            "const": true,
+            "title": "Need Confirmation",
+            "default": true
+          },
+          "message": { "type": "string", "title": "Message" }
+        },
+        "type": "object",
+        "required": ["message"],
+        "title": "CredentialsDeletionNeedsConfirmationResponse"
+      },
+      "CredentialsDeletionResponse": {
+        "properties": {
+          "deleted": {
+            "type": "boolean",
+            "const": true,
+            "title": "Deleted",
+            "default": true
+          },
+          "revoked": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Revoked",
+            "description": "Indicates whether the credentials were also revoked by their provider. `None`/`null` if not applicable, e.g. when deleting non-revocable credentials such as API keys."
+          }
+        },
+        "type": "object",
+        "required": ["revoked"],
+        "title": "CredentialsDeletionResponse"
+      },
+      "CredentialsMetaInput": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "provider": {
+            "type": "string",
+            "title": "Provider",
+            "description": "Provider name for integrations. Can be any string value, including custom provider names."
+          },
+          "type": {
+            "type": "string",
+            "enum": ["api_key", "oauth2", "user_password", "host_scoped"],
+            "title": "Type"
+          }
+        },
+        "type": "object",
+        "required": ["id", "provider", "type"],
+        "title": "CredentialsMetaInput",
+        "credentials_provider": [],
+        "credentials_types": []
+      },
+      "CredentialsMetaResponse": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "provider": { "type": "string", "title": "Provider" },
+          "type": {
+            "type": "string",
+            "enum": ["api_key", "oauth2", "user_password", "host_scoped"],
+            "title": "Type"
+          },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "scopes": {
+            "anyOf": [
+              { "items": { "type": "string" }, "type": "array" },
+              { "type": "null" }
+            ],
+            "title": "Scopes"
+          },
+          "username": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Username"
+          },
+          "host": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Host",
+            "description": "Host pattern for host-scoped credentials"
+          }
+        },
+        "type": "object",
+        "required": ["id", "provider", "type", "title", "scopes", "username"],
+        "title": "CredentialsMetaResponse"
+      },
+      "CreditTransactionType": {
+        "type": "string",
+        "enum": ["TOP_UP", "USAGE", "GRANT", "REFUND", "CARD_CHECK"],
+        "title": "CreditTransactionType"
+      },
+      "DeleteGraphResponse": {
+        "properties": {
+          "version_counts": { "type": "integer", "title": "Version Counts" }
+        },
+        "type": "object",
+        "required": ["version_counts"],
+        "title": "DeleteGraphResponse"
+      },
+      "Document": {
+        "properties": {
+          "url": { "type": "string", "title": "Url" },
+          "relevance_score": { "type": "number", "title": "Relevance Score" }
+        },
+        "type": "object",
+        "required": ["url", "relevance_score"],
+        "title": "Document"
+      },
+      "ExecuteGraphResponse": {
+        "properties": {
+          "graph_exec_id": { "type": "string", "title": "Graph Exec Id" }
+        },
+        "type": "object",
+        "required": ["graph_exec_id"],
+        "title": "ExecuteGraphResponse"
+      },
+      "Graph": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "version": { "type": "integer", "title": "Version", "default": 1 },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/Node" },
+            "type": "array",
+            "title": "Nodes",
+            "default": []
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links",
+            "default": []
+          },
+          "forked_from_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Forked From Id"
+          },
+          "forked_from_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Forked From Version"
+          },
+          "sub_graphs": {
+            "items": { "$ref": "#/components/schemas/BaseGraph-Input" },
+            "type": "array",
+            "title": "Sub Graphs",
+            "default": []
+          }
+        },
+        "type": "object",
+        "required": ["name", "description"],
+        "title": "Graph"
+      },
+      "GraphExecution": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "user_id": { "type": "string", "title": "User Id" },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "preset_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Preset Id"
+          },
+          "status": { "$ref": "#/components/schemas/AgentExecutionStatus" },
+          "started_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Started At"
+          },
+          "ended_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Ended At"
+          },
+          "stats": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Stats" },
+              { "type": "null" }
+            ]
+          },
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          },
+          "outputs": {
+            "additionalProperties": { "items": {}, "type": "array" },
+            "type": "object",
+            "title": "Outputs"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "graph_id",
+          "graph_version",
+          "status",
+          "started_at",
+          "ended_at",
+          "stats",
+          "inputs",
+          "outputs"
+        ],
+        "title": "GraphExecution"
+      },
+      "GraphExecutionJobInfo": {
+        "properties": {
+          "user_id": { "type": "string", "title": "User Id" },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "cron": { "type": "string", "title": "Cron" },
+          "input_data": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Data"
+          },
+          "input_credentials": {
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CredentialsMetaInput"
+            },
+            "type": "object",
+            "title": "Input Credentials"
+          },
+          "id": { "type": "string", "title": "Id" },
+          "name": { "type": "string", "title": "Name" },
+          "next_run_time": { "type": "string", "title": "Next Run Time" }
+        },
+        "type": "object",
+        "required": [
+          "user_id",
+          "graph_id",
+          "graph_version",
+          "cron",
+          "input_data",
+          "id",
+          "name",
+          "next_run_time"
+        ],
+        "title": "GraphExecutionJobInfo"
+      },
+      "GraphExecutionMeta": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "user_id": { "type": "string", "title": "User Id" },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "preset_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Preset Id"
+          },
+          "status": { "$ref": "#/components/schemas/AgentExecutionStatus" },
+          "started_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Started At"
+          },
+          "ended_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Ended At"
+          },
+          "stats": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Stats" },
+              { "type": "null" }
+            ]
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "graph_id",
+          "graph_version",
+          "status",
+          "started_at",
+          "ended_at",
+          "stats"
+        ],
+        "title": "GraphExecutionMeta"
+      },
+      "GraphExecutionWithNodes": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "user_id": { "type": "string", "title": "User Id" },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "preset_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Preset Id"
+          },
+          "status": { "$ref": "#/components/schemas/AgentExecutionStatus" },
+          "started_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Started At"
+          },
+          "ended_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Ended At"
+          },
+          "stats": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Stats" },
+              { "type": "null" }
+            ]
+          },
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          },
+          "outputs": {
+            "additionalProperties": { "items": {}, "type": "array" },
+            "type": "object",
+            "title": "Outputs"
+          },
+          "node_executions": {
+            "items": { "$ref": "#/components/schemas/NodeExecutionResult" },
+            "type": "array",
+            "title": "Node Executions"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "graph_id",
+          "graph_version",
+          "status",
+          "started_at",
+          "ended_at",
+          "stats",
+          "inputs",
+          "outputs",
+          "node_executions"
+        ],
+        "title": "GraphExecutionWithNodes"
+      },
+      "GraphExecutionsPaginated": {
+        "properties": {
+          "executions": {
+            "items": { "$ref": "#/components/schemas/GraphExecutionMeta" },
+            "type": "array",
+            "title": "Executions"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["executions", "pagination"],
+        "title": "GraphExecutionsPaginated",
+        "description": "Response schema for paginated graph executions."
+      },
+      "GraphMeta": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "version": { "type": "integer", "title": "Version", "default": 1 },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "forked_from_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Forked From Id"
+          },
+          "forked_from_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Forked From Version"
+          },
+          "sub_graphs": {
+            "items": { "$ref": "#/components/schemas/BaseGraph-Output" },
+            "type": "array",
+            "title": "Sub Graphs",
+            "default": []
+          },
+          "user_id": { "type": "string", "title": "User Id" },
+          "input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Schema",
+            "readOnly": true
+          },
+          "output_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Output Schema",
+            "readOnly": true
+          },
+          "has_external_trigger": {
+            "type": "boolean",
+            "title": "Has External Trigger",
+            "readOnly": true
+          },
+          "credentials_input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Credentials Input Schema",
+            "readOnly": true
+          }
+        },
+        "type": "object",
+        "required": [
+          "name",
+          "description",
+          "user_id",
+          "input_schema",
+          "output_schema",
+          "has_external_trigger",
+          "credentials_input_schema"
+        ],
+        "title": "GraphMeta"
+      },
+      "GraphModel": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "version": { "type": "integer", "title": "Version", "default": 1 },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "nodes": {
+            "items": { "$ref": "#/components/schemas/NodeModel" },
+            "type": "array",
+            "title": "Nodes",
+            "default": []
+          },
+          "links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Links",
+            "default": []
+          },
+          "forked_from_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Forked From Id"
+          },
+          "forked_from_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Forked From Version"
+          },
+          "sub_graphs": {
+            "items": { "$ref": "#/components/schemas/BaseGraph-Output" },
+            "type": "array",
+            "title": "Sub Graphs",
+            "default": []
+          },
+          "user_id": { "type": "string", "title": "User Id" },
+          "input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Schema",
+            "readOnly": true
+          },
+          "output_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Output Schema",
+            "readOnly": true
+          },
+          "has_external_trigger": {
+            "type": "boolean",
+            "title": "Has External Trigger",
+            "readOnly": true
+          },
+          "credentials_input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Credentials Input Schema",
+            "readOnly": true
+          }
+        },
+        "type": "object",
+        "required": [
+          "name",
+          "description",
+          "user_id",
+          "input_schema",
+          "output_schema",
+          "has_external_trigger",
+          "credentials_input_schema"
+        ],
+        "title": "GraphModel"
+      },
+      "HTTPValidationError": {
+        "properties": {
+          "detail": {
+            "items": { "$ref": "#/components/schemas/ValidationError" },
+            "type": "array",
+            "title": "Detail"
+          }
+        },
+        "type": "object",
+        "title": "HTTPValidationError"
+      },
+      "HostScopedCredentials-Input": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "provider": { "type": "string", "title": "Provider" },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "type": {
+            "type": "string",
+            "const": "host_scoped",
+            "title": "Type",
+            "default": "host_scoped"
+          },
+          "host": {
+            "type": "string",
+            "title": "Host",
+            "description": "The host/URI pattern to match against request URLs"
+          },
+          "headers": {
+            "additionalProperties": {
+              "type": "string",
+              "format": "password",
+              "writeOnly": true
+            },
+            "type": "object",
+            "title": "Headers",
+            "description": "Key-value header map to add to matching requests"
+          }
+        },
+        "type": "object",
+        "required": ["provider", "host"],
+        "title": "HostScopedCredentials"
+      },
+      "HostScopedCredentials-Output": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "provider": { "type": "string", "title": "Provider" },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "type": {
+            "type": "string",
+            "const": "host_scoped",
+            "title": "Type",
+            "default": "host_scoped"
+          },
+          "host": {
+            "type": "string",
+            "title": "Host",
+            "description": "The host/URI pattern to match against request URLs"
+          },
+          "headers": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Headers",
+            "description": "Key-value header map to add to matching requests"
+          }
+        },
+        "type": "object",
+        "required": ["provider", "host"],
+        "title": "HostScopedCredentials"
+      },
+      "LibraryAgent": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "image_url": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Image Url"
+          },
+          "creator_name": { "type": "string", "title": "Creator Name" },
+          "creator_image_url": {
+            "type": "string",
+            "title": "Creator Image Url"
+          },
+          "status": { "$ref": "#/components/schemas/LibraryAgentStatus" },
+          "updated_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Updated At"
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Schema"
+          },
+          "output_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Output Schema"
+          },
+          "credentials_input_schema": {
+            "anyOf": [
+              { "additionalProperties": true, "type": "object" },
+              { "type": "null" }
+            ],
+            "title": "Credentials Input Schema",
+            "description": "Input schema for credentials required by the agent"
+          },
+          "has_external_trigger": {
+            "type": "boolean",
+            "title": "Has External Trigger",
+            "description": "Whether the agent has an external trigger (e.g. webhook) node"
+          },
+          "trigger_setup_info": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/LibraryAgentTriggerInfo" },
+              { "type": "null" }
+            ]
+          },
+          "new_output": { "type": "boolean", "title": "New Output" },
+          "can_access_graph": {
+            "type": "boolean",
+            "title": "Can Access Graph"
+          },
+          "is_latest_version": {
+            "type": "boolean",
+            "title": "Is Latest Version"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "graph_id",
+          "graph_version",
+          "image_url",
+          "creator_name",
+          "creator_image_url",
+          "status",
+          "updated_at",
+          "name",
+          "description",
+          "input_schema",
+          "output_schema",
+          "credentials_input_schema",
+          "has_external_trigger",
+          "new_output",
+          "can_access_graph",
+          "is_latest_version"
+        ],
+        "title": "LibraryAgent",
+        "description": "Represents an agent in the library, including metadata for display and\nuser interaction within the system."
+      },
+      "LibraryAgentPreset": {
+        "properties": {
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          },
+          "credentials": {
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CredentialsMetaInput"
+            },
+            "type": "object",
+            "title": "Credentials"
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "webhook_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Webhook Id"
+          },
+          "id": { "type": "string", "title": "Id" },
+          "user_id": { "type": "string", "title": "User Id" },
+          "updated_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Updated At"
+          }
+        },
+        "type": "object",
+        "required": [
+          "graph_id",
+          "graph_version",
+          "inputs",
+          "credentials",
+          "name",
+          "description",
+          "id",
+          "user_id",
+          "updated_at"
+        ],
+        "title": "LibraryAgentPreset",
+        "description": "Represents a preset configuration for a library agent."
+      },
+      "LibraryAgentPresetCreatable": {
+        "properties": {
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          },
+          "credentials": {
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CredentialsMetaInput"
+            },
+            "type": "object",
+            "title": "Credentials"
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          },
+          "webhook_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Webhook Id"
+          }
+        },
+        "type": "object",
+        "required": [
+          "graph_id",
+          "graph_version",
+          "inputs",
+          "credentials",
+          "name",
+          "description"
+        ],
+        "title": "LibraryAgentPresetCreatable",
+        "description": "Request model used when creating a new preset for a library agent."
+      },
+      "LibraryAgentPresetCreatableFromGraphExecution": {
+        "properties": {
+          "graph_execution_id": {
+            "type": "string",
+            "title": "Graph Execution Id"
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "is_active": {
+            "type": "boolean",
+            "title": "Is Active",
+            "default": true
+          }
+        },
+        "type": "object",
+        "required": ["graph_execution_id", "name", "description"],
+        "title": "LibraryAgentPresetCreatableFromGraphExecution",
+        "description": "Request model used when creating a new preset for a library agent."
+      },
+      "LibraryAgentPresetResponse": {
+        "properties": {
+          "presets": {
+            "items": { "$ref": "#/components/schemas/LibraryAgentPreset" },
+            "type": "array",
+            "title": "Presets"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["presets", "pagination"],
+        "title": "LibraryAgentPresetResponse",
+        "description": "Response schema for a list of agent presets and pagination info."
+      },
+      "LibraryAgentPresetUpdatable": {
+        "properties": {
+          "inputs": {
+            "anyOf": [
+              { "additionalProperties": true, "type": "object" },
+              { "type": "null" }
+            ],
+            "title": "Inputs"
+          },
+          "credentials": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "$ref": "#/components/schemas/CredentialsMetaInput"
+                },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Credentials"
+          },
+          "name": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Name"
+          },
+          "description": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Description"
+          },
+          "is_active": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Is Active"
+          }
+        },
+        "type": "object",
+        "title": "LibraryAgentPresetUpdatable",
+        "description": "Request model used when updating a preset for a library agent."
+      },
+      "LibraryAgentResponse": {
+        "properties": {
+          "agents": {
+            "items": { "$ref": "#/components/schemas/LibraryAgent" },
+            "type": "array",
+            "title": "Agents"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["agents", "pagination"],
+        "title": "LibraryAgentResponse",
+        "description": "Response schema for a list of library agents and pagination info."
+      },
+      "LibraryAgentSort": {
+        "type": "string",
+        "enum": ["createdAt", "updatedAt"],
+        "title": "LibraryAgentSort",
+        "description": "Possible sort options for sorting library agents."
+      },
+      "LibraryAgentStatus": {
+        "type": "string",
+        "enum": ["COMPLETED", "HEALTHY", "WAITING", "ERROR"],
+        "title": "LibraryAgentStatus"
+      },
+      "LibraryAgentTriggerInfo": {
+        "properties": {
+          "provider": {
+            "type": "string",
+            "title": "Provider",
+            "description": "Provider name for integrations. Can be any string value, including custom provider names."
+          },
+          "config_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Config Schema",
+            "description": "Input schema for the trigger block"
+          },
+          "credentials_input_name": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Credentials Input Name"
+          }
+        },
+        "type": "object",
+        "required": ["provider", "config_schema", "credentials_input_name"],
+        "title": "LibraryAgentTriggerInfo"
+      },
+      "LibraryAgentUpdateRequest": {
+        "properties": {
+          "auto_update_version": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Auto Update Version",
+            "description": "Auto-update the agent version"
+          },
+          "is_favorite": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Is Favorite",
+            "description": "Mark the agent as a favorite"
+          },
+          "is_archived": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Is Archived",
+            "description": "Archive the agent"
+          }
+        },
+        "type": "object",
+        "title": "LibraryAgentUpdateRequest",
+        "description": "Schema for updating a library agent via PUT.\n\nIncludes flags for auto-updating version, marking as favorite,\narchiving, or deleting."
+      },
+      "Link": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "source_id": { "type": "string", "title": "Source Id" },
+          "sink_id": { "type": "string", "title": "Sink Id" },
+          "source_name": { "type": "string", "title": "Source Name" },
+          "sink_name": { "type": "string", "title": "Sink Name" },
+          "is_static": {
+            "type": "boolean",
+            "title": "Is Static",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["source_id", "sink_id", "source_name", "sink_name"],
+        "title": "Link"
+      },
+      "LogRawMetricRequest": {
+        "properties": {
+          "metric_name": {
+            "type": "string",
+            "minLength": 1,
+            "title": "Metric Name"
+          },
+          "metric_value": { "type": "number", "title": "Metric Value" },
+          "data_string": {
+            "type": "string",
+            "minLength": 1,
+            "title": "Data String"
+          }
+        },
+        "type": "object",
+        "required": ["metric_name", "metric_value", "data_string"],
+        "title": "LogRawMetricRequest"
+      },
+      "LoginResponse": {
+        "properties": {
+          "login_url": { "type": "string", "title": "Login Url" },
+          "state_token": { "type": "string", "title": "State Token" }
+        },
+        "type": "object",
+        "required": ["login_url", "state_token"],
+        "title": "LoginResponse"
+      },
+      "Message": {
+        "properties": {
+          "query": { "type": "string", "title": "Query" },
+          "response": { "type": "string", "title": "Response" }
+        },
+        "type": "object",
+        "required": ["query", "response"],
+        "title": "Message"
+      },
+      "MyAgent": {
+        "properties": {
+          "agent_id": { "type": "string", "title": "Agent Id" },
+          "agent_version": { "type": "integer", "title": "Agent Version" },
+          "agent_name": { "type": "string", "title": "Agent Name" },
+          "agent_image": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Agent Image"
+          },
+          "description": { "type": "string", "title": "Description" },
+          "last_edited": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Last Edited"
+          }
+        },
+        "type": "object",
+        "required": [
+          "agent_id",
+          "agent_version",
+          "agent_name",
+          "description",
+          "last_edited"
+        ],
+        "title": "MyAgent"
+      },
+      "MyAgentsResponse": {
+        "properties": {
+          "agents": {
+            "items": { "$ref": "#/components/schemas/MyAgent" },
+            "type": "array",
+            "title": "Agents"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["agents", "pagination"],
+        "title": "MyAgentsResponse"
+      },
+      "Node": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "block_id": { "type": "string", "title": "Block Id" },
+          "input_default": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Default",
+            "default": {}
+          },
+          "metadata": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Metadata",
+            "default": {}
+          },
+          "input_links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Input Links",
+            "default": []
+          },
+          "output_links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Output Links",
+            "default": []
+          }
+        },
+        "type": "object",
+        "required": ["block_id"],
+        "title": "Node"
+      },
+      "NodeExecutionResult": {
+        "properties": {
+          "user_id": { "type": "string", "title": "User Id" },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "graph_exec_id": { "type": "string", "title": "Graph Exec Id" },
+          "node_exec_id": { "type": "string", "title": "Node Exec Id" },
+          "node_id": { "type": "string", "title": "Node Id" },
+          "block_id": { "type": "string", "title": "Block Id" },
+          "status": { "$ref": "#/components/schemas/AgentExecutionStatus" },
+          "input_data": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Data"
+          },
+          "output_data": {
+            "additionalProperties": { "items": {}, "type": "array" },
+            "type": "object",
+            "title": "Output Data"
+          },
+          "add_time": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Add Time"
+          },
+          "queue_time": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "Queue Time"
+          },
+          "start_time": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "Start Time"
+          },
+          "end_time": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "End Time"
+          }
+        },
+        "type": "object",
+        "required": [
+          "user_id",
+          "graph_id",
+          "graph_version",
+          "graph_exec_id",
+          "node_exec_id",
+          "node_id",
+          "block_id",
+          "status",
+          "input_data",
+          "output_data",
+          "add_time",
+          "queue_time",
+          "start_time",
+          "end_time"
+        ],
+        "title": "NodeExecutionResult"
+      },
+      "NodeModel": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "block_id": { "type": "string", "title": "Block Id" },
+          "input_default": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Default",
+            "default": {}
+          },
+          "metadata": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Metadata",
+            "default": {}
+          },
+          "input_links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Input Links",
+            "default": []
+          },
+          "output_links": {
+            "items": { "$ref": "#/components/schemas/Link" },
+            "type": "array",
+            "title": "Output Links",
+            "default": []
+          },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "webhook_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Webhook Id"
+          },
+          "webhook": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Webhook" },
+              { "type": "null" }
+            ]
+          }
+        },
+        "type": "object",
+        "required": ["block_id", "graph_id", "graph_version"],
+        "title": "NodeModel"
+      },
+      "NotificationPreference": {
+        "properties": {
+          "user_id": { "type": "string", "title": "User Id" },
+          "email": { "type": "string", "format": "email", "title": "Email" },
+          "preferences": {
+            "additionalProperties": { "type": "boolean" },
+            "propertyNames": {
+              "$ref": "#/components/schemas/NotificationType"
+            },
+            "type": "object",
+            "title": "Preferences",
+            "description": "Which notifications the user wants"
+          },
+          "daily_limit": {
+            "type": "integer",
+            "title": "Daily Limit",
+            "default": 10
+          },
+          "emails_sent_today": {
+            "type": "integer",
+            "title": "Emails Sent Today",
+            "default": 0
+          },
+          "last_reset_date": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Last Reset Date"
+          }
+        },
+        "type": "object",
+        "required": ["user_id", "email"],
+        "title": "NotificationPreference"
+      },
+      "NotificationPreferenceDTO": {
+        "properties": {
+          "email": {
+            "type": "string",
+            "format": "email",
+            "title": "Email",
+            "description": "User's email address"
+          },
+          "preferences": {
+            "additionalProperties": { "type": "boolean" },
+            "propertyNames": {
+              "$ref": "#/components/schemas/NotificationType"
+            },
+            "type": "object",
+            "title": "Preferences",
+            "description": "Which notifications the user wants"
+          },
+          "daily_limit": {
+            "type": "integer",
+            "title": "Daily Limit",
+            "description": "Max emails per day"
+          }
+        },
+        "type": "object",
+        "required": ["email", "preferences", "daily_limit"],
+        "title": "NotificationPreferenceDTO"
+      },
+      "NotificationType": {
+        "type": "string",
+        "enum": [
+          "AGENT_RUN",
+          "ZERO_BALANCE",
+          "LOW_BALANCE",
+          "BLOCK_EXECUTION_FAILED",
+          "CONTINUOUS_AGENT_ERROR",
+          "DAILY_SUMMARY",
+          "WEEKLY_SUMMARY",
+          "MONTHLY_SUMMARY",
+          "REFUND_REQUEST",
+          "REFUND_PROCESSED",
+          "AGENT_APPROVED",
+          "AGENT_REJECTED"
+        ],
+        "title": "NotificationType"
+      },
+      "OAuth2Credentials": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "provider": { "type": "string", "title": "Provider" },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "type": {
+            "type": "string",
+            "const": "oauth2",
+            "title": "Type",
+            "default": "oauth2"
+          },
+          "username": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Username"
+          },
+          "access_token": {
+            "type": "string",
+            "format": "password",
+            "title": "Access Token",
+            "writeOnly": true
+          },
+          "access_token_expires_at": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Access Token Expires At"
+          },
+          "refresh_token": {
+            "anyOf": [
+              { "type": "string", "format": "password", "writeOnly": true },
+              { "type": "null" }
+            ],
+            "title": "Refresh Token"
+          },
+          "refresh_token_expires_at": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Refresh Token Expires At"
+          },
+          "scopes": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Scopes"
+          },
+          "metadata": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Metadata"
+          }
+        },
+        "type": "object",
+        "required": ["provider", "access_token", "scopes"],
+        "title": "OAuth2Credentials"
+      },
+      "OnboardingStep": {
+        "type": "string",
+        "enum": [
+          "WELCOME",
+          "USAGE_REASON",
+          "INTEGRATIONS",
+          "AGENT_CHOICE",
+          "AGENT_NEW_RUN",
+          "AGENT_INPUT",
+          "CONGRATS",
+          "GET_RESULTS",
+          "RUN_AGENTS",
+          "MARKETPLACE_VISIT",
+          "MARKETPLACE_ADD_AGENT",
+          "MARKETPLACE_RUN_AGENT",
+          "BUILDER_OPEN",
+          "BUILDER_SAVE_AGENT",
+          "BUILDER_RUN_AGENT"
+        ],
+        "title": "OnboardingStep"
+      },
+      "Pagination": {
+        "properties": {
+          "total_items": {
+            "type": "integer",
+            "title": "Total Items",
+            "description": "Total number of items.",
+            "examples": [42]
+          },
+          "total_pages": {
+            "type": "integer",
+            "title": "Total Pages",
+            "description": "Total number of pages.",
+            "examples": [2]
+          },
+          "current_page": {
+            "type": "integer",
+            "title": "Current Page",
+            "description": "Current_page page number.",
+            "examples": [1]
+          },
+          "page_size": {
+            "type": "integer",
+            "title": "Page Size",
+            "description": "Number of items per page.",
+            "examples": [25]
+          }
+        },
+        "type": "object",
+        "required": ["total_items", "total_pages", "current_page", "page_size"],
+        "title": "Pagination"
+      },
+      "PostmarkBounceEnum": {
+        "type": "integer",
+        "enum": [
+          1, 2, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384,
+          100000, 100001, 100002, 100003, 100006, 100007, 100008, 100009, 100010
+        ],
+        "title": "PostmarkBounceEnum"
+      },
+      "PostmarkBounceWebhook": {
+        "properties": {
+          "RecordType": {
+            "type": "string",
+            "const": "Bounce",
+            "title": "Recordtype",
+            "default": "Bounce"
+          },
+          "ID": { "type": "integer", "title": "Id" },
+          "Type": { "type": "string", "title": "Type" },
+          "TypeCode": { "$ref": "#/components/schemas/PostmarkBounceEnum" },
+          "Tag": { "type": "string", "title": "Tag" },
+          "MessageID": { "type": "string", "title": "Messageid" },
+          "Details": { "type": "string", "title": "Details" },
+          "Email": { "type": "string", "title": "Email" },
+          "From": { "type": "string", "title": "From" },
+          "BouncedAt": { "type": "string", "title": "Bouncedat" },
+          "Inactive": { "type": "boolean", "title": "Inactive" },
+          "DumpAvailable": { "type": "boolean", "title": "Dumpavailable" },
+          "CanActivate": { "type": "boolean", "title": "Canactivate" },
+          "Subject": { "type": "string", "title": "Subject" },
+          "ServerID": { "type": "integer", "title": "Serverid" },
+          "MessageStream": { "type": "string", "title": "Messagestream" },
+          "Content": { "type": "string", "title": "Content" },
+          "Name": { "type": "string", "title": "Name" },
+          "Description": { "type": "string", "title": "Description" },
+          "Metadata": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Metadata"
+          }
+        },
+        "type": "object",
+        "required": [
+          "ID",
+          "Type",
+          "TypeCode",
+          "Tag",
+          "MessageID",
+          "Details",
+          "Email",
+          "From",
+          "BouncedAt",
+          "Inactive",
+          "DumpAvailable",
+          "CanActivate",
+          "Subject",
+          "ServerID",
+          "MessageStream",
+          "Content",
+          "Name",
+          "Description",
+          "Metadata"
+        ],
+        "title": "PostmarkBounceWebhook"
+      },
+      "PostmarkClickWebhook": {
+        "properties": {
+          "RecordType": {
+            "type": "string",
+            "const": "Click",
+            "title": "Recordtype",
+            "default": "Click"
+          },
+          "MessageStream": { "type": "string", "title": "Messagestream" },
+          "Metadata": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Metadata"
+          },
+          "Recipient": { "type": "string", "title": "Recipient" },
+          "MessageID": { "type": "string", "title": "Messageid" },
+          "ReceivedAt": { "type": "string", "title": "Receivedat" },
+          "Platform": { "type": "string", "title": "Platform" },
+          "ClickLocation": { "type": "string", "title": "Clicklocation" },
+          "OriginalLink": { "type": "string", "title": "Originallink" },
+          "Tag": { "type": "string", "title": "Tag" },
+          "UserAgent": { "type": "string", "title": "Useragent" },
+          "OS": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Os"
+          },
+          "Client": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Client"
+          },
+          "Geo": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Geo"
+          }
+        },
+        "type": "object",
+        "required": [
+          "MessageStream",
+          "Metadata",
+          "Recipient",
+          "MessageID",
+          "ReceivedAt",
+          "Platform",
+          "ClickLocation",
+          "OriginalLink",
+          "Tag",
+          "UserAgent",
+          "OS",
+          "Client",
+          "Geo"
+        ],
+        "title": "PostmarkClickWebhook"
+      },
+      "PostmarkDeliveryWebhook": {
+        "properties": {
+          "RecordType": {
+            "type": "string",
+            "const": "Delivery",
+            "title": "Recordtype",
+            "default": "Delivery"
+          },
+          "ServerID": { "type": "integer", "title": "Serverid" },
+          "MessageStream": { "type": "string", "title": "Messagestream" },
+          "MessageID": { "type": "string", "title": "Messageid" },
+          "Recipient": { "type": "string", "title": "Recipient" },
+          "Tag": { "type": "string", "title": "Tag" },
+          "DeliveredAt": { "type": "string", "title": "Deliveredat" },
+          "Details": { "type": "string", "title": "Details" },
+          "Metadata": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Metadata"
+          }
+        },
+        "type": "object",
+        "required": [
+          "ServerID",
+          "MessageStream",
+          "MessageID",
+          "Recipient",
+          "Tag",
+          "DeliveredAt",
+          "Details",
+          "Metadata"
+        ],
+        "title": "PostmarkDeliveryWebhook"
+      },
+      "PostmarkOpenWebhook": {
+        "properties": {
+          "RecordType": {
+            "type": "string",
+            "const": "Open",
+            "title": "Recordtype",
+            "default": "Open"
+          },
+          "MessageStream": { "type": "string", "title": "Messagestream" },
+          "Metadata": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Metadata"
+          },
+          "FirstOpen": { "type": "boolean", "title": "Firstopen" },
+          "Recipient": { "type": "string", "title": "Recipient" },
+          "MessageID": { "type": "string", "title": "Messageid" },
+          "ReceivedAt": { "type": "string", "title": "Receivedat" },
+          "Platform": { "type": "string", "title": "Platform" },
+          "ReadSeconds": { "type": "integer", "title": "Readseconds" },
+          "Tag": { "type": "string", "title": "Tag" },
+          "UserAgent": { "type": "string", "title": "Useragent" },
+          "OS": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Os"
+          },
+          "Client": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Client"
+          },
+          "Geo": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Geo"
+          }
+        },
+        "type": "object",
+        "required": [
+          "MessageStream",
+          "Metadata",
+          "FirstOpen",
+          "Recipient",
+          "MessageID",
+          "ReceivedAt",
+          "Platform",
+          "ReadSeconds",
+          "Tag",
+          "UserAgent",
+          "OS",
+          "Client",
+          "Geo"
+        ],
+        "title": "PostmarkOpenWebhook"
+      },
+      "PostmarkSpamComplaintWebhook": {
+        "properties": {
+          "RecordType": {
+            "type": "string",
+            "const": "SpamComplaint",
+            "title": "Recordtype",
+            "default": "SpamComplaint"
+          },
+          "ID": { "type": "integer", "title": "Id" },
+          "Type": { "type": "string", "title": "Type" },
+          "TypeCode": { "type": "integer", "title": "Typecode" },
+          "Tag": { "type": "string", "title": "Tag" },
+          "MessageID": { "type": "string", "title": "Messageid" },
+          "Details": { "type": "string", "title": "Details" },
+          "Email": { "type": "string", "title": "Email" },
+          "From": { "type": "string", "title": "From" },
+          "BouncedAt": { "type": "string", "title": "Bouncedat" },
+          "Inactive": { "type": "boolean", "title": "Inactive" },
+          "DumpAvailable": { "type": "boolean", "title": "Dumpavailable" },
+          "CanActivate": { "type": "boolean", "title": "Canactivate" },
+          "Subject": { "type": "string", "title": "Subject" },
+          "ServerID": { "type": "integer", "title": "Serverid" },
+          "MessageStream": { "type": "string", "title": "Messagestream" },
+          "Content": { "type": "string", "title": "Content" },
+          "Name": { "type": "string", "title": "Name" },
+          "Description": { "type": "string", "title": "Description" },
+          "Metadata": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Metadata"
+          }
+        },
+        "type": "object",
+        "required": [
+          "ID",
+          "Type",
+          "TypeCode",
+          "Tag",
+          "MessageID",
+          "Details",
+          "Email",
+          "From",
+          "BouncedAt",
+          "Inactive",
+          "DumpAvailable",
+          "CanActivate",
+          "Subject",
+          "ServerID",
+          "MessageStream",
+          "Content",
+          "Name",
+          "Description",
+          "Metadata"
+        ],
+        "title": "PostmarkSpamComplaintWebhook"
+      },
+      "PostmarkSubscriptionChangeWebhook": {
+        "properties": {
+          "RecordType": {
+            "type": "string",
+            "const": "SubscriptionChange",
+            "title": "Recordtype",
+            "default": "SubscriptionChange"
+          },
+          "MessageID": { "type": "string", "title": "Messageid" },
+          "ServerID": { "type": "integer", "title": "Serverid" },
+          "MessageStream": { "type": "string", "title": "Messagestream" },
+          "ChangedAt": { "type": "string", "title": "Changedat" },
+          "Recipient": { "type": "string", "title": "Recipient" },
+          "Origin": { "type": "string", "title": "Origin" },
+          "SuppressSending": { "type": "boolean", "title": "Suppresssending" },
+          "SuppressionReason": {
+            "type": "string",
+            "title": "Suppressionreason"
+          },
+          "Tag": { "type": "string", "title": "Tag" },
+          "Metadata": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Metadata"
+          }
+        },
+        "type": "object",
+        "required": [
+          "MessageID",
+          "ServerID",
+          "MessageStream",
+          "ChangedAt",
+          "Recipient",
+          "Origin",
+          "SuppressSending",
+          "SuppressionReason",
+          "Tag",
+          "Metadata"
+        ],
+        "title": "PostmarkSubscriptionChangeWebhook"
+      },
+      "Profile": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "username": { "type": "string", "title": "Username" },
+          "description": { "type": "string", "title": "Description" },
+          "links": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Links"
+          },
+          "avatar_url": { "type": "string", "title": "Avatar Url" },
+          "is_featured": {
+            "type": "boolean",
+            "title": "Is Featured",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["name", "username", "description", "links", "avatar_url"],
+        "title": "Profile"
+      },
+      "ProfileDetails": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "username": { "type": "string", "title": "Username" },
+          "description": { "type": "string", "title": "Description" },
+          "links": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Links"
+          },
+          "avatar_url": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Avatar Url"
+          }
+        },
+        "type": "object",
+        "required": ["name", "username", "description", "links"],
+        "title": "ProfileDetails"
+      },
+      "Provider": {
+        "properties": {
+          "name": {
+            "type": "string",
+            "title": "Name",
+            "description": "Provider name for integrations. Can be any string value, including custom provider names."
+          },
+          "description": { "type": "string", "title": "Description" },
+          "integration_count": {
+            "type": "integer",
+            "title": "Integration Count"
+          }
+        },
+        "type": "object",
+        "required": ["name", "description", "integration_count"],
+        "title": "Provider"
+      },
+      "ProviderConstants": {
+        "properties": {
+          "PROVIDER_NAMES": {
+            "additionalProperties": { "type": "string" },
+            "type": "object",
+            "title": "Provider Names",
+            "description": "All available provider names as a constant mapping"
+          }
+        },
+        "type": "object",
+        "title": "ProviderConstants",
+        "description": "Model that exposes all provider names as a constant in the OpenAPI schema.\nThis is designed to be converted by Orval into a TypeScript constant."
+      },
+      "ProviderEnumResponse": {
+        "properties": {
+          "provider": {
+            "type": "string",
+            "title": "Provider",
+            "description": "A provider name from the complete list of providers"
+          }
+        },
+        "type": "object",
+        "required": ["provider"],
+        "title": "ProviderEnumResponse",
+        "description": "Response containing a provider from the enum."
+      },
+      "ProviderNamesResponse": {
+        "properties": {
+          "providers": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Providers",
+            "description": "List of all available provider names"
+          }
+        },
+        "type": "object",
+        "title": "ProviderNamesResponse",
+        "description": "Response containing list of all provider names."
+      },
+      "ProviderResponse": {
+        "properties": {
+          "providers": {
+            "items": { "$ref": "#/components/schemas/Provider" },
+            "type": "array",
+            "title": "Providers"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["providers", "pagination"],
+        "title": "ProviderResponse"
+      },
+      "RefundRequest": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "user_id": { "type": "string", "title": "User Id" },
+          "transaction_key": { "type": "string", "title": "Transaction Key" },
+          "amount": { "type": "integer", "title": "Amount" },
+          "reason": { "type": "string", "title": "Reason" },
+          "result": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Result"
+          },
+          "status": { "type": "string", "title": "Status" },
+          "created_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Created At"
+          },
+          "updated_at": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Updated At"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "transaction_key",
+          "amount",
+          "reason",
+          "status",
+          "created_at",
+          "updated_at"
+        ],
+        "title": "RefundRequest"
+      },
+      "RequestTopUp": {
+        "properties": {
+          "credit_amount": { "type": "integer", "title": "Credit Amount" }
+        },
+        "type": "object",
+        "required": ["credit_amount"],
+        "title": "RequestTopUp"
+      },
+      "ReviewSubmissionRequest": {
+        "properties": {
+          "store_listing_version_id": {
+            "type": "string",
+            "title": "Store Listing Version Id"
+          },
+          "is_approved": { "type": "boolean", "title": "Is Approved" },
+          "comments": { "type": "string", "title": "Comments" },
+          "internal_comments": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Internal Comments"
+          }
+        },
+        "type": "object",
+        "required": ["store_listing_version_id", "is_approved", "comments"],
+        "title": "ReviewSubmissionRequest"
+      },
+      "ScheduleCreationRequest": {
+        "properties": {
+          "graph_version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Graph Version"
+          },
+          "name": { "type": "string", "title": "Name" },
+          "cron": { "type": "string", "title": "Cron" },
+          "inputs": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Inputs"
+          },
+          "credentials": {
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CredentialsMetaInput"
+            },
+            "type": "object",
+            "title": "Credentials"
+          }
+        },
+        "type": "object",
+        "required": ["name", "cron", "inputs"],
+        "title": "ScheduleCreationRequest"
+      },
+      "SearchRequest": {
+        "properties": {
+          "search_query": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Search Query"
+          },
+          "filter": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string",
+                  "enum": [
+                    "blocks",
+                    "integrations",
+                    "marketplace_agents",
+                    "my_agents"
+                  ]
+                },
+                "type": "array"
+              },
+              { "type": "null" }
+            ],
+            "title": "Filter"
+          },
+          "by_creator": {
+            "anyOf": [
+              { "items": { "type": "string" }, "type": "array" },
+              { "type": "null" }
+            ],
+            "title": "By Creator"
+          },
+          "search_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Search Id"
+          },
+          "page": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Page"
+          },
+          "page_size": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Page Size"
+          }
+        },
+        "type": "object",
+        "title": "SearchRequest"
+      },
+      "SearchResponse": {
+        "properties": {
+          "items": {
+            "items": {
+              "anyOf": [
+                { "additionalProperties": true, "type": "object" },
+                { "$ref": "#/components/schemas/LibraryAgent" },
+                { "$ref": "#/components/schemas/StoreAgent" }
+              ]
+            },
+            "type": "array",
+            "title": "Items"
+          },
+          "total_items": {
+            "additionalProperties": { "type": "integer" },
+            "propertyNames": {
+              "enum": [
+                "blocks",
+                "integrations",
+                "marketplace_agents",
+                "my_agents"
+              ]
+            },
+            "type": "object",
+            "title": "Total Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "more_pages": { "type": "boolean", "title": "More Pages" }
+        },
+        "type": "object",
+        "required": ["items", "total_items", "page", "more_pages"],
+        "title": "SearchResponse"
+      },
+      "SetGraphActiveVersion": {
+        "properties": {
+          "active_graph_version": {
+            "type": "integer",
+            "title": "Active Graph Version"
+          }
+        },
+        "type": "object",
+        "required": ["active_graph_version"],
+        "title": "SetGraphActiveVersion"
+      },
+      "Stats": {
+        "properties": {
+          "cost": {
+            "type": "integer",
+            "title": "Cost",
+            "description": "Execution cost (cents)",
+            "default": 0
+          },
+          "duration": {
+            "type": "number",
+            "title": "Duration",
+            "description": "Seconds from start to end of run",
+            "default": 0
+          },
+          "duration_cpu_only": {
+            "type": "number",
+            "title": "Duration Cpu Only",
+            "description": "CPU sec of duration",
+            "default": 0
+          },
+          "node_exec_time": {
+            "type": "number",
+            "title": "Node Exec Time",
+            "description": "Seconds of total node runtime",
+            "default": 0
+          },
+          "node_exec_time_cpu_only": {
+            "type": "number",
+            "title": "Node Exec Time Cpu Only",
+            "description": "CPU sec of node_exec_time",
+            "default": 0
+          },
+          "node_exec_count": {
+            "type": "integer",
+            "title": "Node Exec Count",
+            "description": "Number of node executions",
+            "default": 0
+          },
+          "node_error_count": {
+            "type": "integer",
+            "title": "Node Error Count",
+            "description": "Number of node errors",
+            "default": 0
+          },
+          "error": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Error",
+            "description": "Error message if any"
+          },
+          "activity_status": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Activity Status",
+            "description": "AI-generated summary of what the agent did"
+          }
+        },
+        "additionalProperties": true,
+        "type": "object",
+        "title": "Stats"
+      },
+      "StoreAgent": {
+        "properties": {
+          "slug": { "type": "string", "title": "Slug" },
+          "agent_name": { "type": "string", "title": "Agent Name" },
+          "agent_image": { "type": "string", "title": "Agent Image" },
+          "creator": { "type": "string", "title": "Creator" },
+          "creator_avatar": { "type": "string", "title": "Creator Avatar" },
+          "sub_heading": { "type": "string", "title": "Sub Heading" },
+          "description": { "type": "string", "title": "Description" },
+          "runs": { "type": "integer", "title": "Runs" },
+          "rating": { "type": "number", "title": "Rating" }
+        },
+        "type": "object",
+        "required": [
+          "slug",
+          "agent_name",
+          "agent_image",
+          "creator",
+          "creator_avatar",
+          "sub_heading",
+          "description",
+          "runs",
+          "rating"
+        ],
+        "title": "StoreAgent"
+      },
+      "StoreAgentDetails": {
+        "properties": {
+          "store_listing_version_id": {
+            "type": "string",
+            "title": "Store Listing Version Id"
+          },
+          "slug": { "type": "string", "title": "Slug" },
+          "agent_name": { "type": "string", "title": "Agent Name" },
+          "agent_video": { "type": "string", "title": "Agent Video" },
+          "agent_image": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Agent Image"
+          },
+          "creator": { "type": "string", "title": "Creator" },
+          "creator_avatar": { "type": "string", "title": "Creator Avatar" },
+          "sub_heading": { "type": "string", "title": "Sub Heading" },
+          "description": { "type": "string", "title": "Description" },
+          "categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Categories"
+          },
+          "runs": { "type": "integer", "title": "Runs" },
+          "rating": { "type": "number", "title": "Rating" },
+          "versions": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Versions"
+          },
+          "last_updated": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Last Updated"
+          },
+          "active_version_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Active Version Id"
+          },
+          "has_approved_version": {
+            "type": "boolean",
+            "title": "Has Approved Version",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": [
+          "store_listing_version_id",
+          "slug",
+          "agent_name",
+          "agent_video",
+          "agent_image",
+          "creator",
+          "creator_avatar",
+          "sub_heading",
+          "description",
+          "categories",
+          "runs",
+          "rating",
+          "versions",
+          "last_updated"
+        ],
+        "title": "StoreAgentDetails"
+      },
+      "StoreAgentsResponse": {
+        "properties": {
+          "agents": {
+            "items": { "$ref": "#/components/schemas/StoreAgent" },
+            "type": "array",
+            "title": "Agents"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["agents", "pagination"],
+        "title": "StoreAgentsResponse"
+      },
+      "StoreListingWithVersions": {
+        "properties": {
+          "listing_id": { "type": "string", "title": "Listing Id" },
+          "slug": { "type": "string", "title": "Slug" },
+          "agent_id": { "type": "string", "title": "Agent Id" },
+          "agent_version": { "type": "integer", "title": "Agent Version" },
+          "active_version_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Active Version Id"
+          },
+          "has_approved_version": {
+            "type": "boolean",
+            "title": "Has Approved Version",
+            "default": false
+          },
+          "creator_email": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Creator Email"
+          },
+          "latest_version": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/StoreSubmission" },
+              { "type": "null" }
+            ]
+          },
+          "versions": {
+            "items": { "$ref": "#/components/schemas/StoreSubmission" },
+            "type": "array",
+            "title": "Versions",
+            "default": []
+          }
+        },
+        "type": "object",
+        "required": ["listing_id", "slug", "agent_id", "agent_version"],
+        "title": "StoreListingWithVersions",
+        "description": "A store listing with its version history"
+      },
+      "StoreListingsWithVersionsResponse": {
+        "properties": {
+          "listings": {
+            "items": {
+              "$ref": "#/components/schemas/StoreListingWithVersions"
+            },
+            "type": "array",
+            "title": "Listings"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["listings", "pagination"],
+        "title": "StoreListingsWithVersionsResponse",
+        "description": "Response model for listings with version history"
+      },
+      "StoreReview": {
+        "properties": {
+          "score": { "type": "integer", "title": "Score" },
+          "comments": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Comments"
+          }
+        },
+        "type": "object",
+        "required": ["score"],
+        "title": "StoreReview"
+      },
+      "StoreReviewCreate": {
+        "properties": {
+          "store_listing_version_id": {
+            "type": "string",
+            "title": "Store Listing Version Id"
+          },
+          "score": { "type": "integer", "title": "Score" },
+          "comments": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Comments"
+          }
+        },
+        "type": "object",
+        "required": ["store_listing_version_id", "score"],
+        "title": "StoreReviewCreate"
+      },
+      "StoreSubmission": {
+        "properties": {
+          "agent_id": { "type": "string", "title": "Agent Id" },
+          "agent_version": { "type": "integer", "title": "Agent Version" },
+          "name": { "type": "string", "title": "Name" },
+          "sub_heading": { "type": "string", "title": "Sub Heading" },
+          "slug": { "type": "string", "title": "Slug" },
+          "description": { "type": "string", "title": "Description" },
+          "image_urls": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Image Urls"
+          },
+          "date_submitted": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Date Submitted"
+          },
+          "status": { "$ref": "#/components/schemas/SubmissionStatus" },
+          "runs": { "type": "integer", "title": "Runs" },
+          "rating": { "type": "number", "title": "Rating" },
+          "store_listing_version_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Store Listing Version Id"
+          },
+          "version": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Version"
+          },
+          "reviewer_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Reviewer Id"
+          },
+          "review_comments": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Review Comments"
+          },
+          "internal_comments": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Internal Comments"
+          },
+          "reviewed_at": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "Reviewed At"
+          },
+          "changes_summary": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Changes Summary"
+          },
+          "video_url": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Video Url"
+          },
+          "categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Categories",
+            "default": []
+          }
+        },
+        "type": "object",
+        "required": [
+          "agent_id",
+          "agent_version",
+          "name",
+          "sub_heading",
+          "slug",
+          "description",
+          "image_urls",
+          "date_submitted",
+          "status",
+          "runs",
+          "rating"
+        ],
+        "title": "StoreSubmission"
+      },
+      "StoreSubmissionEditRequest": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "sub_heading": { "type": "string", "title": "Sub Heading" },
+          "video_url": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Video Url"
+          },
+          "image_urls": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Image Urls",
+            "default": []
+          },
+          "description": {
+            "type": "string",
+            "title": "Description",
+            "default": ""
+          },
+          "categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Categories",
+            "default": []
+          },
+          "changes_summary": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Changes Summary"
+          }
+        },
+        "type": "object",
+        "required": ["name", "sub_heading"],
+        "title": "StoreSubmissionEditRequest"
+      },
+      "StoreSubmissionRequest": {
+        "properties": {
+          "agent_id": { "type": "string", "title": "Agent Id" },
+          "agent_version": { "type": "integer", "title": "Agent Version" },
+          "slug": { "type": "string", "title": "Slug" },
+          "name": { "type": "string", "title": "Name" },
+          "sub_heading": { "type": "string", "title": "Sub Heading" },
+          "video_url": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Video Url"
+          },
+          "image_urls": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Image Urls",
+            "default": []
+          },
+          "description": {
+            "type": "string",
+            "title": "Description",
+            "default": ""
+          },
+          "categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Categories",
+            "default": []
+          },
+          "changes_summary": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Changes Summary"
+          }
+        },
+        "type": "object",
+        "required": [
+          "agent_id",
+          "agent_version",
+          "slug",
+          "name",
+          "sub_heading"
+        ],
+        "title": "StoreSubmissionRequest"
+      },
+      "StoreSubmissionsResponse": {
+        "properties": {
+          "submissions": {
+            "items": { "$ref": "#/components/schemas/StoreSubmission" },
+            "type": "array",
+            "title": "Submissions"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["submissions", "pagination"],
+        "title": "StoreSubmissionsResponse"
+      },
+      "SubmissionStatus": {
+        "type": "string",
+        "enum": ["DRAFT", "PENDING", "APPROVED", "REJECTED"],
+        "title": "SubmissionStatus"
+      },
+      "SuggestionsResponse": {
+        "properties": {
+          "otto_suggestions": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Otto Suggestions"
+          },
+          "recent_searches": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Recent Searches"
+          },
+          "providers": {
+            "items": {
+              "type": "string",
+              "description": "Provider name for integrations. Can be any string value, including custom provider names."
+            },
+            "type": "array",
+            "title": "Providers"
+          },
+          "top_blocks": {
+            "items": { "additionalProperties": true, "type": "object" },
+            "type": "array",
+            "title": "Top Blocks"
+          }
+        },
+        "type": "object",
+        "required": [
+          "otto_suggestions",
+          "recent_searches",
+          "providers",
+          "top_blocks"
+        ],
+        "title": "SuggestionsResponse"
+      },
+      "TimezoneResponse": {
+        "properties": {
+          "timezone": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": [
+                  "Africa/Abidjan",
+                  "Africa/Accra",
+                  "Africa/Addis_Ababa",
+                  "Africa/Algiers",
+                  "Africa/Asmara",
+                  "Africa/Asmera",
+                  "Africa/Bamako",
+                  "Africa/Bangui",
+                  "Africa/Banjul",
+                  "Africa/Bissau",
+                  "Africa/Blantyre",
+                  "Africa/Brazzaville",
+                  "Africa/Bujumbura",
+                  "Africa/Cairo",
+                  "Africa/Casablanca",
+                  "Africa/Ceuta",
+                  "Africa/Conakry",
+                  "Africa/Dakar",
+                  "Africa/Dar_es_Salaam",
+                  "Africa/Djibouti",
+                  "Africa/Douala",
+                  "Africa/El_Aaiun",
+                  "Africa/Freetown",
+                  "Africa/Gaborone",
+                  "Africa/Harare",
+                  "Africa/Johannesburg",
+                  "Africa/Juba",
+                  "Africa/Kampala",
+                  "Africa/Khartoum",
+                  "Africa/Kigali",
+                  "Africa/Kinshasa",
+                  "Africa/Lagos",
+                  "Africa/Libreville",
+                  "Africa/Lome",
+                  "Africa/Luanda",
+                  "Africa/Lubumbashi",
+                  "Africa/Lusaka",
+                  "Africa/Malabo",
+                  "Africa/Maputo",
+                  "Africa/Maseru",
+                  "Africa/Mbabane",
+                  "Africa/Mogadishu",
+                  "Africa/Monrovia",
+                  "Africa/Nairobi",
+                  "Africa/Ndjamena",
+                  "Africa/Niamey",
+                  "Africa/Nouakchott",
+                  "Africa/Ouagadougou",
+                  "Africa/Porto-Novo",
+                  "Africa/Sao_Tome",
+                  "Africa/Timbuktu",
+                  "Africa/Tripoli",
+                  "Africa/Tunis",
+                  "Africa/Windhoek",
+                  "America/Adak",
+                  "America/Anchorage",
+                  "America/Anguilla",
+                  "America/Antigua",
+                  "America/Araguaina",
+                  "America/Argentina/Buenos_Aires",
+                  "America/Argentina/Catamarca",
+                  "America/Argentina/ComodRivadavia",
+                  "America/Argentina/Cordoba",
+                  "America/Argentina/Jujuy",
+                  "America/Argentina/La_Rioja",
+                  "America/Argentina/Mendoza",
+                  "America/Argentina/Rio_Gallegos",
+                  "America/Argentina/Salta",
+                  "America/Argentina/San_Juan",
+                  "America/Argentina/San_Luis",
+                  "America/Argentina/Tucuman",
+                  "America/Argentina/Ushuaia",
+                  "America/Aruba",
+                  "America/Asuncion",
+                  "America/Atikokan",
+                  "America/Atka",
+                  "America/Bahia",
+                  "America/Bahia_Banderas",
+                  "America/Barbados",
+                  "America/Belem",
+                  "America/Belize",
+                  "America/Blanc-Sablon",
+                  "America/Boa_Vista",
+                  "America/Bogota",
+                  "America/Boise",
+                  "America/Buenos_Aires",
+                  "America/Cambridge_Bay",
+                  "America/Campo_Grande",
+                  "America/Cancun",
+                  "America/Caracas",
+                  "America/Catamarca",
+                  "America/Cayenne",
+                  "America/Cayman",
+                  "America/Chicago",
+                  "America/Chihuahua",
+                  "America/Ciudad_Juarez",
+                  "America/Coral_Harbour",
+                  "America/Cordoba",
+                  "America/Costa_Rica",
+                  "America/Coyhaique",
+                  "America/Creston",
+                  "America/Cuiaba",
+                  "America/Curacao",
+                  "America/Danmarkshavn",
+                  "America/Dawson",
+                  "America/Dawson_Creek",
+                  "America/Denver",
+                  "America/Detroit",
+                  "America/Dominica",
+                  "America/Edmonton",
+                  "America/Eirunepe",
+                  "America/El_Salvador",
+                  "America/Ensenada",
+                  "America/Fort_Nelson",
+                  "America/Fort_Wayne",
+                  "America/Fortaleza",
+                  "America/Glace_Bay",
+                  "America/Godthab",
+                  "America/Goose_Bay",
+                  "America/Grand_Turk",
+                  "America/Grenada",
+                  "America/Guadeloupe",
+                  "America/Guatemala",
+                  "America/Guayaquil",
+                  "America/Guyana",
+                  "America/Halifax",
+                  "America/Havana",
+                  "America/Hermosillo",
+                  "America/Indiana/Indianapolis",
+                  "America/Indiana/Knox",
+                  "America/Indiana/Marengo",
+                  "America/Indiana/Petersburg",
+                  "America/Indiana/Tell_City",
+                  "America/Indiana/Vevay",
+                  "America/Indiana/Vincennes",
+                  "America/Indiana/Winamac",
+                  "America/Indianapolis",
+                  "America/Inuvik",
+                  "America/Iqaluit",
+                  "America/Jamaica",
+                  "America/Jujuy",
+                  "America/Juneau",
+                  "America/Kentucky/Louisville",
+                  "America/Kentucky/Monticello",
+                  "America/Knox_IN",
+                  "America/Kralendijk",
+                  "America/La_Paz",
+                  "America/Lima",
+                  "America/Los_Angeles",
+                  "America/Louisville",
+                  "America/Lower_Princes",
+                  "America/Maceio",
+                  "America/Managua",
+                  "America/Manaus",
+                  "America/Marigot",
+                  "America/Martinique",
+                  "America/Matamoros",
+                  "America/Mazatlan",
+                  "America/Mendoza",
+                  "America/Menominee",
+                  "America/Merida",
+                  "America/Metlakatla",
+                  "America/Mexico_City",
+                  "America/Miquelon",
+                  "America/Moncton",
+                  "America/Monterrey",
+                  "America/Montevideo",
+                  "America/Montreal",
+                  "America/Montserrat",
+                  "America/Nassau",
+                  "America/New_York",
+                  "America/Nipigon",
+                  "America/Nome",
+                  "America/Noronha",
+                  "America/North_Dakota/Beulah",
+                  "America/North_Dakota/Center",
+                  "America/North_Dakota/New_Salem",
+                  "America/Nuuk",
+                  "America/Ojinaga",
+                  "America/Panama",
+                  "America/Pangnirtung",
+                  "America/Paramaribo",
+                  "America/Phoenix",
+                  "America/Port-au-Prince",
+                  "America/Port_of_Spain",
+                  "America/Porto_Acre",
+                  "America/Porto_Velho",
+                  "America/Puerto_Rico",
+                  "America/Punta_Arenas",
+                  "America/Rainy_River",
+                  "America/Rankin_Inlet",
+                  "America/Recife",
+                  "America/Regina",
+                  "America/Resolute",
+                  "America/Rio_Branco",
+                  "America/Rosario",
+                  "America/Santa_Isabel",
+                  "America/Santarem",
+                  "America/Santiago",
+                  "America/Santo_Domingo",
+                  "America/Sao_Paulo",
+                  "America/Scoresbysund",
+                  "America/Shiprock",
+                  "America/Sitka",
+                  "America/St_Barthelemy",
+                  "America/St_Johns",
+                  "America/St_Kitts",
+                  "America/St_Lucia",
+                  "America/St_Thomas",
+                  "America/St_Vincent",
+                  "America/Swift_Current",
+                  "America/Tegucigalpa",
+                  "America/Thule",
+                  "America/Thunder_Bay",
+                  "America/Tijuana",
+                  "America/Toronto",
+                  "America/Tortola",
+                  "America/Vancouver",
+                  "America/Virgin",
+                  "America/Whitehorse",
+                  "America/Winnipeg",
+                  "America/Yakutat",
+                  "America/Yellowknife",
+                  "Antarctica/Casey",
+                  "Antarctica/Davis",
+                  "Antarctica/DumontDUrville",
+                  "Antarctica/Macquarie",
+                  "Antarctica/Mawson",
+                  "Antarctica/McMurdo",
+                  "Antarctica/Palmer",
+                  "Antarctica/Rothera",
+                  "Antarctica/South_Pole",
+                  "Antarctica/Syowa",
+                  "Antarctica/Troll",
+                  "Antarctica/Vostok",
+                  "Arctic/Longyearbyen",
+                  "Asia/Aden",
+                  "Asia/Almaty",
+                  "Asia/Amman",
+                  "Asia/Anadyr",
+                  "Asia/Aqtau",
+                  "Asia/Aqtobe",
+                  "Asia/Ashgabat",
+                  "Asia/Ashkhabad",
+                  "Asia/Atyrau",
+                  "Asia/Baghdad",
+                  "Asia/Bahrain",
+                  "Asia/Baku",
+                  "Asia/Bangkok",
+                  "Asia/Barnaul",
+                  "Asia/Beirut",
+                  "Asia/Bishkek",
+                  "Asia/Brunei",
+                  "Asia/Calcutta",
+                  "Asia/Chita",
+                  "Asia/Choibalsan",
+                  "Asia/Chongqing",
+                  "Asia/Chungking",
+                  "Asia/Colombo",
+                  "Asia/Dacca",
+                  "Asia/Damascus",
+                  "Asia/Dhaka",
+                  "Asia/Dili",
+                  "Asia/Dubai",
+                  "Asia/Dushanbe",
+                  "Asia/Famagusta",
+                  "Asia/Gaza",
+                  "Asia/Harbin",
+                  "Asia/Hebron",
+                  "Asia/Ho_Chi_Minh",
+                  "Asia/Hong_Kong",
+                  "Asia/Hovd",
+                  "Asia/Irkutsk",
+                  "Asia/Istanbul",
+                  "Asia/Jakarta",
+                  "Asia/Jayapura",
+                  "Asia/Jerusalem",
+                  "Asia/Kabul",
+                  "Asia/Kamchatka",
+                  "Asia/Karachi",
+                  "Asia/Kashgar",
+                  "Asia/Kathmandu",
+                  "Asia/Katmandu",
+                  "Asia/Khandyga",
+                  "Asia/Kolkata",
+                  "Asia/Krasnoyarsk",
+                  "Asia/Kuala_Lumpur",
+                  "Asia/Kuching",
+                  "Asia/Kuwait",
+                  "Asia/Macao",
+                  "Asia/Macau",
+                  "Asia/Magadan",
+                  "Asia/Makassar",
+                  "Asia/Manila",
+                  "Asia/Muscat",
+                  "Asia/Nicosia",
+                  "Asia/Novokuznetsk",
+                  "Asia/Novosibirsk",
+                  "Asia/Omsk",
+                  "Asia/Oral",
+                  "Asia/Phnom_Penh",
+                  "Asia/Pontianak",
+                  "Asia/Pyongyang",
+                  "Asia/Qatar",
+                  "Asia/Qostanay",
+                  "Asia/Qyzylorda",
+                  "Asia/Rangoon",
+                  "Asia/Riyadh",
+                  "Asia/Saigon",
+                  "Asia/Sakhalin",
+                  "Asia/Samarkand",
+                  "Asia/Seoul",
+                  "Asia/Shanghai",
+                  "Asia/Singapore",
+                  "Asia/Srednekolymsk",
+                  "Asia/Taipei",
+                  "Asia/Tashkent",
+                  "Asia/Tbilisi",
+                  "Asia/Tehran",
+                  "Asia/Tel_Aviv",
+                  "Asia/Thimbu",
+                  "Asia/Thimphu",
+                  "Asia/Tokyo",
+                  "Asia/Tomsk",
+                  "Asia/Ujung_Pandang",
+                  "Asia/Ulaanbaatar",
+                  "Asia/Ulan_Bator",
+                  "Asia/Urumqi",
+                  "Asia/Ust-Nera",
+                  "Asia/Vientiane",
+                  "Asia/Vladivostok",
+                  "Asia/Yakutsk",
+                  "Asia/Yangon",
+                  "Asia/Yekaterinburg",
+                  "Asia/Yerevan",
+                  "Atlantic/Azores",
+                  "Atlantic/Bermuda",
+                  "Atlantic/Canary",
+                  "Atlantic/Cape_Verde",
+                  "Atlantic/Faeroe",
+                  "Atlantic/Faroe",
+                  "Atlantic/Jan_Mayen",
+                  "Atlantic/Madeira",
+                  "Atlantic/Reykjavik",
+                  "Atlantic/South_Georgia",
+                  "Atlantic/St_Helena",
+                  "Atlantic/Stanley",
+                  "Australia/ACT",
+                  "Australia/Adelaide",
+                  "Australia/Brisbane",
+                  "Australia/Broken_Hill",
+                  "Australia/Canberra",
+                  "Australia/Currie",
+                  "Australia/Darwin",
+                  "Australia/Eucla",
+                  "Australia/Hobart",
+                  "Australia/LHI",
+                  "Australia/Lindeman",
+                  "Australia/Lord_Howe",
+                  "Australia/Melbourne",
+                  "Australia/NSW",
+                  "Australia/North",
+                  "Australia/Perth",
+                  "Australia/Queensland",
+                  "Australia/South",
+                  "Australia/Sydney",
+                  "Australia/Tasmania",
+                  "Australia/Victoria",
+                  "Australia/West",
+                  "Australia/Yancowinna",
+                  "Brazil/Acre",
+                  "Brazil/DeNoronha",
+                  "Brazil/East",
+                  "Brazil/West",
+                  "CET",
+                  "CST6CDT",
+                  "Canada/Atlantic",
+                  "Canada/Central",
+                  "Canada/Eastern",
+                  "Canada/Mountain",
+                  "Canada/Newfoundland",
+                  "Canada/Pacific",
+                  "Canada/Saskatchewan",
+                  "Canada/Yukon",
+                  "Chile/Continental",
+                  "Chile/EasterIsland",
+                  "Cuba",
+                  "EET",
+                  "EST",
+                  "EST5EDT",
+                  "Egypt",
+                  "Eire",
+                  "Etc/GMT",
+                  "Etc/GMT+0",
+                  "Etc/GMT+1",
+                  "Etc/GMT+10",
+                  "Etc/GMT+11",
+                  "Etc/GMT+12",
+                  "Etc/GMT+2",
+                  "Etc/GMT+3",
+                  "Etc/GMT+4",
+                  "Etc/GMT+5",
+                  "Etc/GMT+6",
+                  "Etc/GMT+7",
+                  "Etc/GMT+8",
+                  "Etc/GMT+9",
+                  "Etc/GMT-0",
+                  "Etc/GMT-1",
+                  "Etc/GMT-10",
+                  "Etc/GMT-11",
+                  "Etc/GMT-12",
+                  "Etc/GMT-13",
+                  "Etc/GMT-14",
+                  "Etc/GMT-2",
+                  "Etc/GMT-3",
+                  "Etc/GMT-4",
+                  "Etc/GMT-5",
+                  "Etc/GMT-6",
+                  "Etc/GMT-7",
+                  "Etc/GMT-8",
+                  "Etc/GMT-9",
+                  "Etc/GMT0",
+                  "Etc/Greenwich",
+                  "Etc/UCT",
+                  "Etc/UTC",
+                  "Etc/Universal",
+                  "Etc/Zulu",
+                  "Europe/Amsterdam",
+                  "Europe/Andorra",
+                  "Europe/Astrakhan",
+                  "Europe/Athens",
+                  "Europe/Belfast",
+                  "Europe/Belgrade",
+                  "Europe/Berlin",
+                  "Europe/Bratislava",
+                  "Europe/Brussels",
+                  "Europe/Bucharest",
+                  "Europe/Budapest",
+                  "Europe/Busingen",
+                  "Europe/Chisinau",
+                  "Europe/Copenhagen",
+                  "Europe/Dublin",
+                  "Europe/Gibraltar",
+                  "Europe/Guernsey",
+                  "Europe/Helsinki",
+                  "Europe/Isle_of_Man",
+                  "Europe/Istanbul",
+                  "Europe/Jersey",
+                  "Europe/Kaliningrad",
+                  "Europe/Kiev",
+                  "Europe/Kirov",
+                  "Europe/Kyiv",
+                  "Europe/Lisbon",
+                  "Europe/Ljubljana",
+                  "Europe/London",
+                  "Europe/Luxembourg",
+                  "Europe/Madrid",
+                  "Europe/Malta",
+                  "Europe/Mariehamn",
+                  "Europe/Minsk",
+                  "Europe/Monaco",
+                  "Europe/Moscow",
+                  "Europe/Nicosia",
+                  "Europe/Oslo",
+                  "Europe/Paris",
+                  "Europe/Podgorica",
+                  "Europe/Prague",
+                  "Europe/Riga",
+                  "Europe/Rome",
+                  "Europe/Samara",
+                  "Europe/San_Marino",
+                  "Europe/Sarajevo",
+                  "Europe/Saratov",
+                  "Europe/Simferopol",
+                  "Europe/Skopje",
+                  "Europe/Sofia",
+                  "Europe/Stockholm",
+                  "Europe/Tallinn",
+                  "Europe/Tirane",
+                  "Europe/Tiraspol",
+                  "Europe/Ulyanovsk",
+                  "Europe/Uzhgorod",
+                  "Europe/Vaduz",
+                  "Europe/Vatican",
+                  "Europe/Vienna",
+                  "Europe/Vilnius",
+                  "Europe/Volgograd",
+                  "Europe/Warsaw",
+                  "Europe/Zagreb",
+                  "Europe/Zaporozhye",
+                  "Europe/Zurich",
+                  "GB",
+                  "GB-Eire",
+                  "GMT",
+                  "GMT+0",
+                  "GMT-0",
+                  "GMT0",
+                  "Greenwich",
+                  "HST",
+                  "Hongkong",
+                  "Iceland",
+                  "Indian/Antananarivo",
+                  "Indian/Chagos",
+                  "Indian/Christmas",
+                  "Indian/Cocos",
+                  "Indian/Comoro",
+                  "Indian/Kerguelen",
+                  "Indian/Mahe",
+                  "Indian/Maldives",
+                  "Indian/Mauritius",
+                  "Indian/Mayotte",
+                  "Indian/Reunion",
+                  "Iran",
+                  "Israel",
+                  "Jamaica",
+                  "Japan",
+                  "Kwajalein",
+                  "Libya",
+                  "MET",
+                  "MST",
+                  "MST7MDT",
+                  "Mexico/BajaNorte",
+                  "Mexico/BajaSur",
+                  "Mexico/General",
+                  "NZ",
+                  "NZ-CHAT",
+                  "Navajo",
+                  "PRC",
+                  "PST8PDT",
+                  "Pacific/Apia",
+                  "Pacific/Auckland",
+                  "Pacific/Bougainville",
+                  "Pacific/Chatham",
+                  "Pacific/Chuuk",
+                  "Pacific/Easter",
+                  "Pacific/Efate",
+                  "Pacific/Enderbury",
+                  "Pacific/Fakaofo",
+                  "Pacific/Fiji",
+                  "Pacific/Funafuti",
+                  "Pacific/Galapagos",
+                  "Pacific/Gambier",
+                  "Pacific/Guadalcanal",
+                  "Pacific/Guam",
+                  "Pacific/Honolulu",
+                  "Pacific/Johnston",
+                  "Pacific/Kanton",
+                  "Pacific/Kiritimati",
+                  "Pacific/Kosrae",
+                  "Pacific/Kwajalein",
+                  "Pacific/Majuro",
+                  "Pacific/Marquesas",
+                  "Pacific/Midway",
+                  "Pacific/Nauru",
+                  "Pacific/Niue",
+                  "Pacific/Norfolk",
+                  "Pacific/Noumea",
+                  "Pacific/Pago_Pago",
+                  "Pacific/Palau",
+                  "Pacific/Pitcairn",
+                  "Pacific/Pohnpei",
+                  "Pacific/Ponape",
+                  "Pacific/Port_Moresby",
+                  "Pacific/Rarotonga",
+                  "Pacific/Saipan",
+                  "Pacific/Samoa",
+                  "Pacific/Tahiti",
+                  "Pacific/Tarawa",
+                  "Pacific/Tongatapu",
+                  "Pacific/Truk",
+                  "Pacific/Wake",
+                  "Pacific/Wallis",
+                  "Pacific/Yap",
+                  "Poland",
+                  "Portugal",
+                  "ROC",
+                  "ROK",
+                  "Singapore",
+                  "Turkey",
+                  "UCT",
+                  "US/Alaska",
+                  "US/Aleutian",
+                  "US/Arizona",
+                  "US/Central",
+                  "US/East-Indiana",
+                  "US/Eastern",
+                  "US/Hawaii",
+                  "US/Indiana-Starke",
+                  "US/Michigan",
+                  "US/Mountain",
+                  "US/Pacific",
+                  "US/Samoa",
+                  "UTC",
+                  "Universal",
+                  "W-SU",
+                  "WET",
+                  "Zulu"
+                ],
+                "minLength": 1
+              },
+              { "type": "string" }
+            ],
+            "title": "Timezone"
+          }
+        },
+        "type": "object",
+        "required": ["timezone"],
+        "title": "TimezoneResponse"
+      },
+      "TransactionHistory": {
+        "properties": {
+          "transactions": {
+            "items": { "$ref": "#/components/schemas/UserTransaction" },
+            "type": "array",
+            "title": "Transactions"
+          },
+          "next_transaction_time": {
+            "anyOf": [
+              { "type": "string", "format": "date-time" },
+              { "type": "null" }
+            ],
+            "title": "Next Transaction Time"
+          }
+        },
+        "type": "object",
+        "required": ["transactions", "next_transaction_time"],
+        "title": "TransactionHistory"
+      },
+      "TriggeredPresetSetupRequest": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "description": {
+            "type": "string",
+            "title": "Description",
+            "default": ""
+          },
+          "graph_id": { "type": "string", "title": "Graph Id" },
+          "graph_version": { "type": "integer", "title": "Graph Version" },
+          "trigger_config": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Trigger Config"
+          },
+          "agent_credentials": {
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CredentialsMetaInput"
+            },
+            "type": "object",
+            "title": "Agent Credentials"
+          }
+        },
+        "type": "object",
+        "required": ["name", "graph_id", "graph_version", "trigger_config"],
+        "title": "TriggeredPresetSetupRequest"
+      },
+      "TurnstileVerifyRequest": {
+        "properties": {
+          "token": {
+            "type": "string",
+            "title": "Token",
+            "description": "The Turnstile token to verify"
+          },
+          "action": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Action",
+            "description": "The action that the user is attempting to perform"
+          }
+        },
+        "type": "object",
+        "required": ["token"],
+        "title": "TurnstileVerifyRequest",
+        "description": "Request model for verifying a Turnstile token."
+      },
+      "TurnstileVerifyResponse": {
+        "properties": {
+          "success": {
+            "type": "boolean",
+            "title": "Success",
+            "description": "Whether the token verification was successful"
+          },
+          "error": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Error",
+            "description": "Error message if verification failed"
+          },
+          "challenge_timestamp": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Challenge Timestamp",
+            "description": "Timestamp of the challenge (ISO format)"
+          },
+          "hostname": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Hostname",
+            "description": "Hostname of the site where the challenge was solved"
+          },
+          "action": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Action",
+            "description": "The action associated with this verification"
+          }
+        },
+        "type": "object",
+        "required": ["success"],
+        "title": "TurnstileVerifyResponse",
+        "description": "Response model for the Turnstile verification endpoint."
+      },
+      "UpdatePermissionsRequest": {
+        "properties": {
+          "permissions": {
+            "items": { "$ref": "#/components/schemas/APIKeyPermission" },
+            "type": "array",
+            "title": "Permissions"
+          }
+        },
+        "type": "object",
+        "required": ["permissions"],
+        "title": "UpdatePermissionsRequest"
+      },
+      "UpdateTimezoneRequest": {
+        "properties": {
+          "timezone": {
+            "type": "string",
+            "enum": [
+              "Africa/Abidjan",
+              "Africa/Accra",
+              "Africa/Addis_Ababa",
+              "Africa/Algiers",
+              "Africa/Asmara",
+              "Africa/Asmera",
+              "Africa/Bamako",
+              "Africa/Bangui",
+              "Africa/Banjul",
+              "Africa/Bissau",
+              "Africa/Blantyre",
+              "Africa/Brazzaville",
+              "Africa/Bujumbura",
+              "Africa/Cairo",
+              "Africa/Casablanca",
+              "Africa/Ceuta",
+              "Africa/Conakry",
+              "Africa/Dakar",
+              "Africa/Dar_es_Salaam",
+              "Africa/Djibouti",
+              "Africa/Douala",
+              "Africa/El_Aaiun",
+              "Africa/Freetown",
+              "Africa/Gaborone",
+              "Africa/Harare",
+              "Africa/Johannesburg",
+              "Africa/Juba",
+              "Africa/Kampala",
+              "Africa/Khartoum",
+              "Africa/Kigali",
+              "Africa/Kinshasa",
+              "Africa/Lagos",
+              "Africa/Libreville",
+              "Africa/Lome",
+              "Africa/Luanda",
+              "Africa/Lubumbashi",
+              "Africa/Lusaka",
+              "Africa/Malabo",
+              "Africa/Maputo",
+              "Africa/Maseru",
+              "Africa/Mbabane",
+              "Africa/Mogadishu",
+              "Africa/Monrovia",
+              "Africa/Nairobi",
+              "Africa/Ndjamena",
+              "Africa/Niamey",
+              "Africa/Nouakchott",
+              "Africa/Ouagadougou",
+              "Africa/Porto-Novo",
+              "Africa/Sao_Tome",
+              "Africa/Timbuktu",
+              "Africa/Tripoli",
+              "Africa/Tunis",
+              "Africa/Windhoek",
+              "America/Adak",
+              "America/Anchorage",
+              "America/Anguilla",
+              "America/Antigua",
+              "America/Araguaina",
+              "America/Argentina/Buenos_Aires",
+              "America/Argentina/Catamarca",
+              "America/Argentina/ComodRivadavia",
+              "America/Argentina/Cordoba",
+              "America/Argentina/Jujuy",
+              "America/Argentina/La_Rioja",
+              "America/Argentina/Mendoza",
+              "America/Argentina/Rio_Gallegos",
+              "America/Argentina/Salta",
+              "America/Argentina/San_Juan",
+              "America/Argentina/San_Luis",
+              "America/Argentina/Tucuman",
+              "America/Argentina/Ushuaia",
+              "America/Aruba",
+              "America/Asuncion",
+              "America/Atikokan",
+              "America/Atka",
+              "America/Bahia",
+              "America/Bahia_Banderas",
+              "America/Barbados",
+              "America/Belem",
+              "America/Belize",
+              "America/Blanc-Sablon",
+              "America/Boa_Vista",
+              "America/Bogota",
+              "America/Boise",
+              "America/Buenos_Aires",
+              "America/Cambridge_Bay",
+              "America/Campo_Grande",
+              "America/Cancun",
+              "America/Caracas",
+              "America/Catamarca",
+              "America/Cayenne",
+              "America/Cayman",
+              "America/Chicago",
+              "America/Chihuahua",
+              "America/Ciudad_Juarez",
+              "America/Coral_Harbour",
+              "America/Cordoba",
+              "America/Costa_Rica",
+              "America/Coyhaique",
+              "America/Creston",
+              "America/Cuiaba",
+              "America/Curacao",
+              "America/Danmarkshavn",
+              "America/Dawson",
+              "America/Dawson_Creek",
+              "America/Denver",
+              "America/Detroit",
+              "America/Dominica",
+              "America/Edmonton",
+              "America/Eirunepe",
+              "America/El_Salvador",
+              "America/Ensenada",
+              "America/Fort_Nelson",
+              "America/Fort_Wayne",
+              "America/Fortaleza",
+              "America/Glace_Bay",
+              "America/Godthab",
+              "America/Goose_Bay",
+              "America/Grand_Turk",
+              "America/Grenada",
+              "America/Guadeloupe",
+              "America/Guatemala",
+              "America/Guayaquil",
+              "America/Guyana",
+              "America/Halifax",
+              "America/Havana",
+              "America/Hermosillo",
+              "America/Indiana/Indianapolis",
+              "America/Indiana/Knox",
+              "America/Indiana/Marengo",
+              "America/Indiana/Petersburg",
+              "America/Indiana/Tell_City",
+              "America/Indiana/Vevay",
+              "America/Indiana/Vincennes",
+              "America/Indiana/Winamac",
+              "America/Indianapolis",
+              "America/Inuvik",
+              "America/Iqaluit",
+              "America/Jamaica",
+              "America/Jujuy",
+              "America/Juneau",
+              "America/Kentucky/Louisville",
+              "America/Kentucky/Monticello",
+              "America/Knox_IN",
+              "America/Kralendijk",
+              "America/La_Paz",
+              "America/Lima",
+              "America/Los_Angeles",
+              "America/Louisville",
+              "America/Lower_Princes",
+              "America/Maceio",
+              "America/Managua",
+              "America/Manaus",
+              "America/Marigot",
+              "America/Martinique",
+              "America/Matamoros",
+              "America/Mazatlan",
+              "America/Mendoza",
+              "America/Menominee",
+              "America/Merida",
+              "America/Metlakatla",
+              "America/Mexico_City",
+              "America/Miquelon",
+              "America/Moncton",
+              "America/Monterrey",
+              "America/Montevideo",
+              "America/Montreal",
+              "America/Montserrat",
+              "America/Nassau",
+              "America/New_York",
+              "America/Nipigon",
+              "America/Nome",
+              "America/Noronha",
+              "America/North_Dakota/Beulah",
+              "America/North_Dakota/Center",
+              "America/North_Dakota/New_Salem",
+              "America/Nuuk",
+              "America/Ojinaga",
+              "America/Panama",
+              "America/Pangnirtung",
+              "America/Paramaribo",
+              "America/Phoenix",
+              "America/Port-au-Prince",
+              "America/Port_of_Spain",
+              "America/Porto_Acre",
+              "America/Porto_Velho",
+              "America/Puerto_Rico",
+              "America/Punta_Arenas",
+              "America/Rainy_River",
+              "America/Rankin_Inlet",
+              "America/Recife",
+              "America/Regina",
+              "America/Resolute",
+              "America/Rio_Branco",
+              "America/Rosario",
+              "America/Santa_Isabel",
+              "America/Santarem",
+              "America/Santiago",
+              "America/Santo_Domingo",
+              "America/Sao_Paulo",
+              "America/Scoresbysund",
+              "America/Shiprock",
+              "America/Sitka",
+              "America/St_Barthelemy",
+              "America/St_Johns",
+              "America/St_Kitts",
+              "America/St_Lucia",
+              "America/St_Thomas",
+              "America/St_Vincent",
+              "America/Swift_Current",
+              "America/Tegucigalpa",
+              "America/Thule",
+              "America/Thunder_Bay",
+              "America/Tijuana",
+              "America/Toronto",
+              "America/Tortola",
+              "America/Vancouver",
+              "America/Virgin",
+              "America/Whitehorse",
+              "America/Winnipeg",
+              "America/Yakutat",
+              "America/Yellowknife",
+              "Antarctica/Casey",
+              "Antarctica/Davis",
+              "Antarctica/DumontDUrville",
+              "Antarctica/Macquarie",
+              "Antarctica/Mawson",
+              "Antarctica/McMurdo",
+              "Antarctica/Palmer",
+              "Antarctica/Rothera",
+              "Antarctica/South_Pole",
+              "Antarctica/Syowa",
+              "Antarctica/Troll",
+              "Antarctica/Vostok",
+              "Arctic/Longyearbyen",
+              "Asia/Aden",
+              "Asia/Almaty",
+              "Asia/Amman",
+              "Asia/Anadyr",
+              "Asia/Aqtau",
+              "Asia/Aqtobe",
+              "Asia/Ashgabat",
+              "Asia/Ashkhabad",
+              "Asia/Atyrau",
+              "Asia/Baghdad",
+              "Asia/Bahrain",
+              "Asia/Baku",
+              "Asia/Bangkok",
+              "Asia/Barnaul",
+              "Asia/Beirut",
+              "Asia/Bishkek",
+              "Asia/Brunei",
+              "Asia/Calcutta",
+              "Asia/Chita",
+              "Asia/Choibalsan",
+              "Asia/Chongqing",
+              "Asia/Chungking",
+              "Asia/Colombo",
+              "Asia/Dacca",
+              "Asia/Damascus",
+              "Asia/Dhaka",
+              "Asia/Dili",
+              "Asia/Dubai",
+              "Asia/Dushanbe",
+              "Asia/Famagusta",
+              "Asia/Gaza",
+              "Asia/Harbin",
+              "Asia/Hebron",
+              "Asia/Ho_Chi_Minh",
+              "Asia/Hong_Kong",
+              "Asia/Hovd",
+              "Asia/Irkutsk",
+              "Asia/Istanbul",
+              "Asia/Jakarta",
+              "Asia/Jayapura",
+              "Asia/Jerusalem",
+              "Asia/Kabul",
+              "Asia/Kamchatka",
+              "Asia/Karachi",
+              "Asia/Kashgar",
+              "Asia/Kathmandu",
+              "Asia/Katmandu",
+              "Asia/Khandyga",
+              "Asia/Kolkata",
+              "Asia/Krasnoyarsk",
+              "Asia/Kuala_Lumpur",
+              "Asia/Kuching",
+              "Asia/Kuwait",
+              "Asia/Macao",
+              "Asia/Macau",
+              "Asia/Magadan",
+              "Asia/Makassar",
+              "Asia/Manila",
+              "Asia/Muscat",
+              "Asia/Nicosia",
+              "Asia/Novokuznetsk",
+              "Asia/Novosibirsk",
+              "Asia/Omsk",
+              "Asia/Oral",
+              "Asia/Phnom_Penh",
+              "Asia/Pontianak",
+              "Asia/Pyongyang",
+              "Asia/Qatar",
+              "Asia/Qostanay",
+              "Asia/Qyzylorda",
+              "Asia/Rangoon",
+              "Asia/Riyadh",
+              "Asia/Saigon",
+              "Asia/Sakhalin",
+              "Asia/Samarkand",
+              "Asia/Seoul",
+              "Asia/Shanghai",
+              "Asia/Singapore",
+              "Asia/Srednekolymsk",
+              "Asia/Taipei",
+              "Asia/Tashkent",
+              "Asia/Tbilisi",
+              "Asia/Tehran",
+              "Asia/Tel_Aviv",
+              "Asia/Thimbu",
+              "Asia/Thimphu",
+              "Asia/Tokyo",
+              "Asia/Tomsk",
+              "Asia/Ujung_Pandang",
+              "Asia/Ulaanbaatar",
+              "Asia/Ulan_Bator",
+              "Asia/Urumqi",
+              "Asia/Ust-Nera",
+              "Asia/Vientiane",
+              "Asia/Vladivostok",
+              "Asia/Yakutsk",
+              "Asia/Yangon",
+              "Asia/Yekaterinburg",
+              "Asia/Yerevan",
+              "Atlantic/Azores",
+              "Atlantic/Bermuda",
+              "Atlantic/Canary",
+              "Atlantic/Cape_Verde",
+              "Atlantic/Faeroe",
+              "Atlantic/Faroe",
+              "Atlantic/Jan_Mayen",
+              "Atlantic/Madeira",
+              "Atlantic/Reykjavik",
+              "Atlantic/South_Georgia",
+              "Atlantic/St_Helena",
+              "Atlantic/Stanley",
+              "Australia/ACT",
+              "Australia/Adelaide",
+              "Australia/Brisbane",
+              "Australia/Broken_Hill",
+              "Australia/Canberra",
+              "Australia/Currie",
+              "Australia/Darwin",
+              "Australia/Eucla",
+              "Australia/Hobart",
+              "Australia/LHI",
+              "Australia/Lindeman",
+              "Australia/Lord_Howe",
+              "Australia/Melbourne",
+              "Australia/NSW",
+              "Australia/North",
+              "Australia/Perth",
+              "Australia/Queensland",
+              "Australia/South",
+              "Australia/Sydney",
+              "Australia/Tasmania",
+              "Australia/Victoria",
+              "Australia/West",
+              "Australia/Yancowinna",
+              "Brazil/Acre",
+              "Brazil/DeNoronha",
+              "Brazil/East",
+              "Brazil/West",
+              "CET",
+              "CST6CDT",
+              "Canada/Atlantic",
+              "Canada/Central",
+              "Canada/Eastern",
+              "Canada/Mountain",
+              "Canada/Newfoundland",
+              "Canada/Pacific",
+              "Canada/Saskatchewan",
+              "Canada/Yukon",
+              "Chile/Continental",
+              "Chile/EasterIsland",
+              "Cuba",
+              "EET",
+              "EST",
+              "EST5EDT",
+              "Egypt",
+              "Eire",
+              "Etc/GMT",
+              "Etc/GMT+0",
+              "Etc/GMT+1",
+              "Etc/GMT+10",
+              "Etc/GMT+11",
+              "Etc/GMT+12",
+              "Etc/GMT+2",
+              "Etc/GMT+3",
+              "Etc/GMT+4",
+              "Etc/GMT+5",
+              "Etc/GMT+6",
+              "Etc/GMT+7",
+              "Etc/GMT+8",
+              "Etc/GMT+9",
+              "Etc/GMT-0",
+              "Etc/GMT-1",
+              "Etc/GMT-10",
+              "Etc/GMT-11",
+              "Etc/GMT-12",
+              "Etc/GMT-13",
+              "Etc/GMT-14",
+              "Etc/GMT-2",
+              "Etc/GMT-3",
+              "Etc/GMT-4",
+              "Etc/GMT-5",
+              "Etc/GMT-6",
+              "Etc/GMT-7",
+              "Etc/GMT-8",
+              "Etc/GMT-9",
+              "Etc/GMT0",
+              "Etc/Greenwich",
+              "Etc/UCT",
+              "Etc/UTC",
+              "Etc/Universal",
+              "Etc/Zulu",
+              "Europe/Amsterdam",
+              "Europe/Andorra",
+              "Europe/Astrakhan",
+              "Europe/Athens",
+              "Europe/Belfast",
+              "Europe/Belgrade",
+              "Europe/Berlin",
+              "Europe/Bratislava",
+              "Europe/Brussels",
+              "Europe/Bucharest",
+              "Europe/Budapest",
+              "Europe/Busingen",
+              "Europe/Chisinau",
+              "Europe/Copenhagen",
+              "Europe/Dublin",
+              "Europe/Gibraltar",
+              "Europe/Guernsey",
+              "Europe/Helsinki",
+              "Europe/Isle_of_Man",
+              "Europe/Istanbul",
+              "Europe/Jersey",
+              "Europe/Kaliningrad",
+              "Europe/Kiev",
+              "Europe/Kirov",
+              "Europe/Kyiv",
+              "Europe/Lisbon",
+              "Europe/Ljubljana",
+              "Europe/London",
+              "Europe/Luxembourg",
+              "Europe/Madrid",
+              "Europe/Malta",
+              "Europe/Mariehamn",
+              "Europe/Minsk",
+              "Europe/Monaco",
+              "Europe/Moscow",
+              "Europe/Nicosia",
+              "Europe/Oslo",
+              "Europe/Paris",
+              "Europe/Podgorica",
+              "Europe/Prague",
+              "Europe/Riga",
+              "Europe/Rome",
+              "Europe/Samara",
+              "Europe/San_Marino",
+              "Europe/Sarajevo",
+              "Europe/Saratov",
+              "Europe/Simferopol",
+              "Europe/Skopje",
+              "Europe/Sofia",
+              "Europe/Stockholm",
+              "Europe/Tallinn",
+              "Europe/Tirane",
+              "Europe/Tiraspol",
+              "Europe/Ulyanovsk",
+              "Europe/Uzhgorod",
+              "Europe/Vaduz",
+              "Europe/Vatican",
+              "Europe/Vienna",
+              "Europe/Vilnius",
+              "Europe/Volgograd",
+              "Europe/Warsaw",
+              "Europe/Zagreb",
+              "Europe/Zaporozhye",
+              "Europe/Zurich",
+              "GB",
+              "GB-Eire",
+              "GMT",
+              "GMT+0",
+              "GMT-0",
+              "GMT0",
+              "Greenwich",
+              "HST",
+              "Hongkong",
+              "Iceland",
+              "Indian/Antananarivo",
+              "Indian/Chagos",
+              "Indian/Christmas",
+              "Indian/Cocos",
+              "Indian/Comoro",
+              "Indian/Kerguelen",
+              "Indian/Mahe",
+              "Indian/Maldives",
+              "Indian/Mauritius",
+              "Indian/Mayotte",
+              "Indian/Reunion",
+              "Iran",
+              "Israel",
+              "Jamaica",
+              "Japan",
+              "Kwajalein",
+              "Libya",
+              "MET",
+              "MST",
+              "MST7MDT",
+              "Mexico/BajaNorte",
+              "Mexico/BajaSur",
+              "Mexico/General",
+              "NZ",
+              "NZ-CHAT",
+              "Navajo",
+              "PRC",
+              "PST8PDT",
+              "Pacific/Apia",
+              "Pacific/Auckland",
+              "Pacific/Bougainville",
+              "Pacific/Chatham",
+              "Pacific/Chuuk",
+              "Pacific/Easter",
+              "Pacific/Efate",
+              "Pacific/Enderbury",
+              "Pacific/Fakaofo",
+              "Pacific/Fiji",
+              "Pacific/Funafuti",
+              "Pacific/Galapagos",
+              "Pacific/Gambier",
+              "Pacific/Guadalcanal",
+              "Pacific/Guam",
+              "Pacific/Honolulu",
+              "Pacific/Johnston",
+              "Pacific/Kanton",
+              "Pacific/Kiritimati",
+              "Pacific/Kosrae",
+              "Pacific/Kwajalein",
+              "Pacific/Majuro",
+              "Pacific/Marquesas",
+              "Pacific/Midway",
+              "Pacific/Nauru",
+              "Pacific/Niue",
+              "Pacific/Norfolk",
+              "Pacific/Noumea",
+              "Pacific/Pago_Pago",
+              "Pacific/Palau",
+              "Pacific/Pitcairn",
+              "Pacific/Pohnpei",
+              "Pacific/Ponape",
+              "Pacific/Port_Moresby",
+              "Pacific/Rarotonga",
+              "Pacific/Saipan",
+              "Pacific/Samoa",
+              "Pacific/Tahiti",
+              "Pacific/Tarawa",
+              "Pacific/Tongatapu",
+              "Pacific/Truk",
+              "Pacific/Wake",
+              "Pacific/Wallis",
+              "Pacific/Yap",
+              "Poland",
+              "Portugal",
+              "ROC",
+              "ROK",
+              "Singapore",
+              "Turkey",
+              "UCT",
+              "US/Alaska",
+              "US/Aleutian",
+              "US/Arizona",
+              "US/Central",
+              "US/East-Indiana",
+              "US/Eastern",
+              "US/Hawaii",
+              "US/Indiana-Starke",
+              "US/Michigan",
+              "US/Mountain",
+              "US/Pacific",
+              "US/Samoa",
+              "UTC",
+              "Universal",
+              "W-SU",
+              "WET",
+              "Zulu"
+            ],
+            "minLength": 1,
+            "title": "Timezone"
+          }
+        },
+        "type": "object",
+        "required": ["timezone"],
+        "title": "UpdateTimezoneRequest"
+      },
+      "UploadFileResponse": {
+        "properties": {
+          "file_uri": { "type": "string", "title": "File Uri" },
+          "file_name": { "type": "string", "title": "File Name" },
+          "size": { "type": "integer", "title": "Size" },
+          "content_type": { "type": "string", "title": "Content Type" },
+          "expires_in_hours": { "type": "integer", "title": "Expires In Hours" }
+        },
+        "type": "object",
+        "required": [
+          "file_uri",
+          "file_name",
+          "size",
+          "content_type",
+          "expires_in_hours"
+        ],
+        "title": "UploadFileResponse"
+      },
+      "UserHistoryResponse": {
+        "properties": {
+          "history": {
+            "items": { "$ref": "#/components/schemas/UserTransaction" },
+            "type": "array",
+            "title": "History"
+          },
+          "pagination": { "$ref": "#/components/schemas/Pagination" }
+        },
+        "type": "object",
+        "required": ["history", "pagination"],
+        "title": "UserHistoryResponse",
+        "description": "Response model for listings with version history"
+      },
+      "UserOnboardingUpdate": {
+        "properties": {
+          "completedSteps": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/OnboardingStep" },
+                "type": "array"
+              },
+              { "type": "null" }
+            ],
+            "title": "Completedsteps"
+          },
+          "notificationDot": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Notificationdot"
+          },
+          "notified": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/OnboardingStep" },
+                "type": "array"
+              },
+              { "type": "null" }
+            ],
+            "title": "Notified"
+          },
+          "usageReason": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Usagereason"
+          },
+          "integrations": {
+            "anyOf": [
+              { "items": { "type": "string" }, "type": "array" },
+              { "type": "null" }
+            ],
+            "title": "Integrations"
+          },
+          "otherIntegrations": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Otherintegrations"
+          },
+          "selectedStoreListingVersionId": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Selectedstorelistingversionid"
+          },
+          "agentInput": {
+            "anyOf": [
+              { "additionalProperties": true, "type": "object" },
+              { "type": "null" }
+            ],
+            "title": "Agentinput"
+          },
+          "onboardingAgentExecutionId": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Onboardingagentexecutionid"
+          },
+          "agentRuns": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Agentruns"
+          }
+        },
+        "type": "object",
+        "title": "UserOnboardingUpdate"
+      },
+      "UserPasswordCredentials": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "provider": { "type": "string", "title": "Provider" },
+          "title": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Title"
+          },
+          "type": {
+            "type": "string",
+            "const": "user_password",
+            "title": "Type",
+            "default": "user_password"
+          },
+          "username": {
+            "type": "string",
+            "format": "password",
+            "title": "Username",
+            "writeOnly": true
+          },
+          "password": {
+            "type": "string",
+            "format": "password",
+            "title": "Password",
+            "writeOnly": true
+          }
+        },
+        "type": "object",
+        "required": ["provider", "username", "password"],
+        "title": "UserPasswordCredentials"
+      },
+      "UserTransaction": {
+        "properties": {
+          "transaction_key": {
+            "type": "string",
+            "title": "Transaction Key",
+            "default": ""
+          },
+          "transaction_time": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Transaction Time",
+            "default": "0001-01-01T00:00:00Z"
+          },
+          "transaction_type": {
+            "$ref": "#/components/schemas/CreditTransactionType",
+            "default": "USAGE"
+          },
+          "amount": { "type": "integer", "title": "Amount", "default": 0 },
+          "running_balance": {
+            "type": "integer",
+            "title": "Running Balance",
+            "default": 0
+          },
+          "current_balance": {
+            "type": "integer",
+            "title": "Current Balance",
+            "default": 0
+          },
+          "description": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Description"
+          },
+          "usage_graph_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Usage Graph Id"
+          },
+          "usage_execution_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Usage Execution Id"
+          },
+          "usage_node_count": {
+            "type": "integer",
+            "title": "Usage Node Count",
+            "default": 0
+          },
+          "usage_start_time": {
+            "type": "string",
+            "format": "date-time",
+            "title": "Usage Start Time",
+            "default": "9999-12-31T23:59:59.999999Z"
+          },
+          "user_id": { "type": "string", "title": "User Id" },
+          "user_email": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "User Email"
+          },
+          "reason": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Reason"
+          },
+          "admin_email": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Admin Email"
+          },
+          "extra_data": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Extra Data"
+          }
+        },
+        "type": "object",
+        "required": ["user_id"],
+        "title": "UserTransaction"
+      },
+      "ValidationError": {
+        "properties": {
+          "loc": {
+            "items": { "anyOf": [{ "type": "string" }, { "type": "integer" }] },
+            "type": "array",
+            "title": "Location"
+          },
+          "msg": { "type": "string", "title": "Message" },
+          "type": { "type": "string", "title": "Error Type" }
+        },
+        "type": "object",
+        "required": ["loc", "msg", "type"],
+        "title": "ValidationError"
+      },
+      "Webhook": {
+        "properties": {
+          "id": { "type": "string", "title": "Id" },
+          "user_id": { "type": "string", "title": "User Id" },
+          "provider": {
+            "type": "string",
+            "title": "Provider",
+            "description": "Provider name for integrations. Can be any string value, including custom provider names."
+          },
+          "credentials_id": { "type": "string", "title": "Credentials Id" },
+          "webhook_type": { "type": "string", "title": "Webhook Type" },
+          "resource": { "type": "string", "title": "Resource" },
+          "events": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Events"
+          },
+          "config": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Config"
+          },
+          "secret": { "type": "string", "title": "Secret" },
+          "provider_webhook_id": {
+            "type": "string",
+            "title": "Provider Webhook Id"
+          },
+          "url": { "type": "string", "title": "Url", "readOnly": true }
+        },
+        "type": "object",
+        "required": [
+          "user_id",
+          "provider",
+          "credentials_id",
+          "webhook_type",
+          "resource",
+          "events",
+          "secret",
+          "provider_webhook_id",
+          "url"
+        ],
+        "title": "Webhook"
+      }
+    },
+    "securitySchemes": {
+      "APIKeyHeader": {
+        "type": "apiKey",
+        "in": "header",
+        "name": "X-Postmark-Webhook-Token"
+      }
+    }
+  }
+}
diff --git a/autogpt_platform/frontend/src/app/api/proxy/[...path]/route.ts b/autogpt_platform/frontend/src/app/api/proxy/[...path]/route.ts
new file mode 100644
index 000000000000..ad39185dbda5
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/proxy/[...path]/route.ts
@@ -0,0 +1,199 @@
+import {
+  ApiError,
+  makeAuthenticatedFileUpload,
+  makeAuthenticatedRequest,
+} from "@/lib/autogpt-server-api/helpers";
+import { getAgptServerBaseUrl } from "@/lib/env-config";
+import { NextRequest, NextResponse } from "next/server";
+
+function buildBackendUrl(path: string[], queryString: string): string {
+  const backendPath = path.join("/");
+  return `${getAgptServerBaseUrl()}/${backendPath}${queryString}`;
+}
+
+async function handleJsonRequest(
+  req: NextRequest,
+  method: string,
+  backendUrl: string,
+): Promise<any> {
+  let payload;
+
+  try {
+    payload = await req.json();
+  } catch (error) {
+    // Handle cases where request body is empty, invalid JSON, or already consumed
+    console.warn("Failed to parse JSON from request body:", error);
+    payload = null;
+  }
+
+  return await makeAuthenticatedRequest(
+    method,
+    backendUrl,
+    payload,
+    "application/json",
+  );
+}
+
+async function handleFormDataRequest(
+  req: NextRequest,
+  backendUrl: string,
+): Promise<any> {
+  const formData = await req.formData();
+  return await makeAuthenticatedFileUpload(backendUrl, formData);
+}
+
+async function handleUrlEncodedRequest(
+  req: NextRequest,
+  method: string,
+  backendUrl: string,
+): Promise<any> {
+  const textPayload = await req.text();
+  const params = new URLSearchParams(textPayload);
+  const payload = Object.fromEntries(params.entries());
+  return await makeAuthenticatedRequest(
+    method,
+    backendUrl,
+    payload,
+    "application/x-www-form-urlencoded",
+  );
+}
+
+async function handleRequestWithoutBody(
+  method: string,
+  backendUrl: string,
+): Promise<any> {
+  return await makeAuthenticatedRequest(method, backendUrl);
+}
+
+function createUnsupportedContentTypeResponse(
+  contentType: string | null,
+): NextResponse {
+  return NextResponse.json(
+    {
+      error:
+        "Unsupported Content-Type for proxying with authentication helpers.",
+      receivedContentType: contentType,
+      supportedContentTypes: [
+        "application/json",
+        "multipart/form-data",
+        "application/x-www-form-urlencoded",
+      ],
+    },
+    { status: 415 },
+  );
+}
+
+function createResponse(
+  responseBody: any,
+  responseStatus: number,
+  responseHeaders: Record<string, string>,
+): NextResponse {
+  if (responseStatus === 204) {
+    return new NextResponse(null, { status: responseStatus });
+  } else {
+    return NextResponse.json(responseBody, {
+      status: responseStatus,
+      headers: responseHeaders,
+    });
+  }
+}
+
+function createErrorResponse(
+  error: unknown,
+  path: string,
+  method: string,
+): NextResponse {
+  if (
+    error &&
+    typeof error === "object" &&
+    "status" in error &&
+    [401, 403].includes(error.status as number)
+  ) {
+    // Log this since it indicates a potential frontend bug
+    console.warn(
+      `Authentication error in API proxy for ${method} ${path}:`,
+      "message" in error ? error.message : error,
+    );
+  }
+
+  // If it's our custom ApiError, preserve the original status and response
+  if (error instanceof ApiError) {
+    return NextResponse.json(error.response || { error: error.message }, {
+      status: error.status,
+    });
+  }
+
+  // For JSON parsing errors, provide more context
+  if (error instanceof SyntaxError && error.message.includes("JSON")) {
+    return NextResponse.json(
+      {
+        error: "Invalid response from backend",
+        detail: error.message ?? "Backend returned non-JSON response",
+      },
+      { status: 502 },
+    );
+  }
+
+  // For other errors, use generic response
+  const detail =
+    error instanceof Error ? error.message : "An unknown error occurred";
+  return NextResponse.json(
+    { error: "Proxy request failed", detail },
+    { status: 500 },
+  );
+}
+
+/**
+ * A simple proxy route that forwards requests to the backend API.
+ * It injects the server-side authentication token into the Authorization header.
+ * It uses the makeAuthenticatedRequest and makeAuthenticatedFileUpload helpers
+ * to handle request body parsing and authentication.
+ */
+async function handler(
+  req: NextRequest,
+  { params }: { params: Promise<{ path: string[] }> },
+) {
+  const { path } = await params;
+  const url = new URL(req.url);
+  const queryString = url.search;
+  const backendUrl = buildBackendUrl(path, queryString);
+
+  const method = req.method;
+  const contentType = req.headers.get("Content-Type");
+
+  let responseBody: any;
+  const responseHeaders: Record<string, string> = {
+    "Content-Type": "application/json",
+  };
+
+  try {
+    if (method === "GET" || method === "DELETE") {
+      responseBody = await handleRequestWithoutBody(method, backendUrl);
+    } else if (contentType?.includes("application/json")) {
+      responseBody = await handleJsonRequest(req, method, backendUrl);
+    } else if (contentType?.includes("multipart/form-data")) {
+      responseBody = await handleFormDataRequest(req, backendUrl);
+      responseHeaders["Content-Type"] = "text/plain";
+    } else if (contentType?.includes("application/x-www-form-urlencoded")) {
+      responseBody = await handleUrlEncodedRequest(req, method, backendUrl);
+    } else {
+      return createUnsupportedContentTypeResponse(contentType);
+    }
+
+    return createResponse(responseBody, 200, responseHeaders);
+  } catch (error) {
+    return createErrorResponse(
+      error,
+      path.map((s) => `/${s}`).join(""),
+      method,
+    );
+  }
+}
+
+export {
+  handler as DELETE,
+  handler as GET,
+  handler as PATCH,
+  handler as POST,
+  handler as PUT,
+};
diff --git a/autogpt_platform/frontend/src/app/api/transformers/fix-tags.mjs b/autogpt_platform/frontend/src/app/api/transformers/fix-tags.mjs
new file mode 100644
index 000000000000..e1bc2c42670d
--- /dev/null
+++ b/autogpt_platform/frontend/src/app/api/transformers/fix-tags.mjs
@@ -0,0 +1,57 @@
+/**
+ * Transformer function for orval that fixes tags in OpenAPI spec.
+ * 1. Create a set of tags so we have unique values
+ * 2. Then remove public, private, v1, and v2 tags from tags array
+ * 3. Then arrange remaining tags alphabetically and only keep the first one
+ *
+ * @param {OpenAPIObject} inputSchema
+ * @return {OpenAPIObject}
+ */
+
+export const tagTransformer = (inputSchema) => {
+  const processedPaths = Object.entries(inputSchema.paths || {}).reduce(
+    (acc, [path, pathItem]) => ({
+      ...acc,
+      [path]: Object.entries(pathItem || {}).reduce(
+        (pathItemAcc, [verb, operation]) => {
+          if (typeof operation === "object" && operation !== null) {
+            // 1. Create a set of tags so we have unique values
+            const uniqueTags = Array.from(new Set(operation.tags || []));
+
+            // 2. Remove public, private, v1, and v2 tags from tags array
+            const filteredTags = uniqueTags.filter(
+              (tag) =>
+                !["public", "private"].includes(tag.toLowerCase()) &&
+                !/^v[12]$/i.test(tag),
+            );
+
+            // 3. Arrange tags alphabetically and only keep the first one
+            const sortedTags = filteredTags.sort((a, b) => a.localeCompare(b));
+            const firstTag = sortedTags.length > 0 ? [sortedTags[0]] : [];
+
+            return {
+              ...pathItemAcc,
+              [verb]: {
+                ...operation,
+                tags: firstTag,
+              },
+            };
+          }
+          return {
+            ...pathItemAcc,
+            [verb]: operation,
+          };
+        },
+        {},
+      ),
+    }),
+    {},
+  );
+
+  return {
+    ...inputSchema,
+    paths: processedPaths,
+  };
+};
+
+export default tagTransformer;
diff --git a/autogpt_platform/frontend/src/app/auth/auth-code-error/page.tsx b/autogpt_platform/frontend/src/app/auth/auth-code-error/page.tsx
deleted file mode 100644
index 797cad062846..000000000000
--- a/autogpt_platform/frontend/src/app/auth/auth-code-error/page.tsx
+++ /dev/null
@@ -1,36 +0,0 @@
-"use client";
-
-import { useEffect, useState } from "react";
-
-export default function AuthErrorPage() {
-  const [errorType, setErrorType] = useState<string | null>(null);
-  const [errorCode, setErrorCode] = useState<string | null>(null);
-  const [errorDescription, setErrorDescription] = useState<string | null>(null);
-
-  useEffect(() => {
-    // This code only runs on the client side
-    if (typeof window !== "undefined") {
-      const hash = window.location.hash.substring(1); // Remove the leading '#'
-      const params = new URLSearchParams(hash);
-
-      setErrorType(params.get("error"));
-      setErrorCode(params.get("error_code"));
-      setErrorDescription(
-        params.get("error_description")?.replace(/\+/g, " ") ?? null,
-      ); // Replace '+' with space
-    }
-  }, []);
-
-  if (!errorType && !errorCode && !errorDescription) {
-    return <div>Loading...</div>;
-  }
-
-  return (
-    <div>
-      <h1>Authentication Error</h1>
-      {errorType && <p>Error Type: {errorType}</p>}
-      {errorCode && <p>Error Code: {errorCode}</p>}
-      {errorDescription && <p>Error Description: {errorDescription}</p>}
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/auth/callback/route.ts b/autogpt_platform/frontend/src/app/auth/callback/route.ts
deleted file mode 100644
index ba5bc0db14a2..000000000000
--- a/autogpt_platform/frontend/src/app/auth/callback/route.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-import getServerSupabase from "@/lib/supabase/getServerSupabase";
-import { NextResponse } from "next/server";
-
-// Handle the callback to complete the user session login
-export async function GET(request: Request) {
-  const { searchParams, origin } = new URL(request.url);
-  const code = searchParams.get("code");
-  // if "next" is in param, use it as the redirect URL
-  const next = searchParams.get("next") ?? "/";
-
-  if (code) {
-    const supabase = getServerSupabase();
-
-    if (!supabase) {
-      return NextResponse.redirect(`${origin}/error`);
-    }
-
-    const { data, error } = await supabase.auth.exchangeCodeForSession(code);
-    // data.session?.refresh_token is available if you need to store it for later use
-    if (!error) {
-      const forwardedHost = request.headers.get("x-forwarded-host"); // original origin before load balancer
-      const isLocalEnv = process.env.NODE_ENV === "development";
-      if (isLocalEnv) {
-        // we can be sure that there is no load balancer in between, so no need to watch for X-Forwarded-Host
-        return NextResponse.redirect(`${origin}${next}`);
-      } else if (forwardedHost) {
-        return NextResponse.redirect(`https://${forwardedHost}${next}`);
-      } else {
-        return NextResponse.redirect(`${origin}${next}`);
-      }
-    }
-  }
-
-  // return the user to an error page with instructions
-  return NextResponse.redirect(`${origin}/auth/auth-code-error`);
-}
diff --git a/autogpt_platform/frontend/src/app/auth/confirm/route.ts b/autogpt_platform/frontend/src/app/auth/confirm/route.ts
deleted file mode 100644
index e5d432b8fe8c..000000000000
--- a/autogpt_platform/frontend/src/app/auth/confirm/route.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-import { type EmailOtpType } from "@supabase/supabase-js";
-import { type NextRequest } from "next/server";
-
-import { redirect } from "next/navigation";
-import getServerSupabase from "@/lib/supabase/getServerSupabase";
-
-// Email confirmation route
-export async function GET(request: NextRequest) {
-  const { searchParams } = new URL(request.url);
-  const token_hash = searchParams.get("token_hash");
-  const type = searchParams.get("type") as EmailOtpType | null;
-  const next = searchParams.get("next") ?? "/";
-
-  if (token_hash && type) {
-    const supabase = getServerSupabase();
-
-    if (!supabase) {
-      redirect("/error");
-    }
-
-    const { error } = await supabase.auth.verifyOtp({
-      type,
-      token_hash,
-    });
-    if (!error) {
-      // redirect user to specified redirect URL or root of app
-      redirect(next);
-    }
-  }
-
-  // redirect the user to an error page with some instructions
-  redirect("/error");
-}
diff --git a/autogpt_platform/frontend/src/app/auth/integrations/oauth_callback/route.ts b/autogpt_platform/frontend/src/app/auth/integrations/oauth_callback/route.ts
deleted file mode 100644
index 5d4100d48e64..000000000000
--- a/autogpt_platform/frontend/src/app/auth/integrations/oauth_callback/route.ts
+++ /dev/null
@@ -1,41 +0,0 @@
-import { OAuthPopupResultMessage } from "@/components/integrations/credentials-input";
-import { NextResponse } from "next/server";
-
-// This route is intended to be used as the callback for integration OAuth flows,
-// controlled by the CredentialsInput component. The CredentialsInput opens the login
-// page in a pop-up window, which then redirects to this route to close the loop.
-export async function GET(request: Request) {
-  const { searchParams, origin } = new URL(request.url);
-  const code = searchParams.get("code");
-  const state = searchParams.get("state");
-
-  console.debug("OAuth callback received:", { code, state });
-
-  const message: OAuthPopupResultMessage =
-    code && state
-      ? { message_type: "oauth_popup_result", success: true, code, state }
-      : {
-          message_type: "oauth_popup_result",
-          success: false,
-          message: `Incomplete query: ${searchParams.toString()}`,
-        };
-
-  console.debug("Sending message to opener:", message);
-
-  // Return a response with the message as JSON and a script to close the window
-  return new NextResponse(
-    `
-    <html>
-      <body>
-        <script>
-          window.opener.postMessage(${JSON.stringify(message)});
-          window.close();
-        </script>
-      </body>
-    </html>
-    `,
-    {
-      headers: { "Content-Type": "text/html" },
-    },
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/build/page.tsx b/autogpt_platform/frontend/src/app/build/page.tsx
deleted file mode 100644
index 8c0ace995fb9..000000000000
--- a/autogpt_platform/frontend/src/app/build/page.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-"use client";
-
-import { useSearchParams } from "next/navigation";
-import FlowEditor from "@/components/Flow";
-
-export default function Home() {
-  const query = useSearchParams();
-
-  return (
-    <FlowEditor
-      className="flow-container"
-      flowID={query.get("flowID") ?? undefined}
-    />
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/globals.css b/autogpt_platform/frontend/src/app/globals.css
index c2998c08d07d..c96e31ab6fb9 100644
--- a/autogpt_platform/frontend/src/app/globals.css
+++ b/autogpt_platform/frontend/src/app/globals.css
@@ -2,54 +2,11 @@
 @tailwind components;
 @tailwind utilities;
 
-@layer base {
-  .font-neue {
-    font-family: "PP Neue Montreal TT", sans-serif;
-  }
-}
-
-@layer utilities {
-  .w-110 {
-    width: 27.5rem;
-  }
-  .h-7\.5 {
-    height: 1.1875rem;
-  }
-  .h-18 {
-    height: 4.5rem;
-  }
-  .h-238 {
-    height: 14.875rem;
-  }
-  .top-158 {
-    top: 9.875rem;
-  }
-  .top-254 {
-    top: 15.875rem;
-  }
-  .top-284 {
-    top: 17.75rem;
-  }
-  .top-360 {
-    top: 22.5rem;
-  }
-  .left-297 {
-    left: 18.5625rem;
-  }
-  .left-34 {
-    left: 2.125rem;
-  }
-}
-
-@layer utilities {
-  .text-balance {
-    text-wrap: balance;
-  }
-}
+@plugin 'tailwind-scrollbar';
 
 @layer base {
   :root {
-    --background: 0 0% 100%;
+    --background: 0 0% 98%; /* neutral-50#FAFAFA */
     --foreground: 240 10% 3.9%;
     --card: 0 0% 100%;
     --card-foreground: 240 10% 3.9%;
@@ -61,8 +18,8 @@
     --secondary-foreground: 240 5.9% 10%;
     --muted: 240 4.8% 95.9%;
     --muted-foreground: 240 3.8% 46.1%;
-    --accent: 240 4.8% 95.9%;
-    --accent-foreground: 240 5.9% 10%;
+    --accent: 262 83% 58%;
+    --accent-foreground: 0 0% 100%;
     --destructive: 0 84.2% 60.2%;
     --destructive-foreground: 0 0% 98%;
     --border: 240 5.9% 90%;
@@ -102,21 +59,96 @@
     --chart-4: 280 65% 60%;
     --chart-5: 340 75% 55%;
   }
-}
 
-@layer base {
   * {
     @apply border-border;
   }
   body {
-    @apply bg-background text-foreground;
+    @apply bg-background font-sans text-foreground antialiased transition-colors;
   }
+}
+
+/* *** AutoGPT Design Components *** */
 
+@layer components {
   .agpt-border-input {
-    @apply border border-input focus-visible:border-gray-400 focus-visible:outline-none;
+    @apply m-0.5 border border-input focus:border-gray-400 focus:outline-none focus:ring-1 focus:ring-gray-400 data-[state=open]:border-gray-400 data-[state=open]:ring-1 data-[state=open]:ring-gray-400;
   }
 
   .agpt-shadow-input {
     @apply shadow-sm focus-visible:shadow-md;
   }
+
+  .agpt-rounded-card {
+    @apply rounded-2xl;
+  }
+
+  .agpt-rounded-box {
+    @apply rounded-3xl;
+  }
+
+  .agpt-card {
+    @apply agpt-rounded-card border border-zinc-300 bg-white p-[1px];
+  }
+
+  .agpt-box {
+    @apply agpt-card agpt-rounded-box;
+  }
+
+  .agpt-div {
+    @apply border-zinc-200 p-5;
+  }
+}
+
+@layer utilities {
+  .agpt-card-selected {
+    @apply border-2 border-accent bg-violet-50/50 p-0;
+  }
+}
+
+@layer utilities {
+  /* TODO: 1. remove unused utility classes */
+  /* TODO: 2. fix naming of numbered dimensions so that the number is 4*dimension */
+  /* TODO: 3. move to tailwind.config.ts spacing config */
+  .h-7\.5 {
+    height: 1.1875rem;
+  }
+  .h-18 {
+    height: 4.5rem;
+  }
+  .h-238 {
+    height: 14.875rem;
+  }
+  .top-158 {
+    top: 9.875rem;
+  }
+  .top-254 {
+    top: 15.875rem;
+  }
+  .top-284 {
+    top: 17.75rem;
+  }
+  .top-360 {
+    top: 22.5rem;
+  }
+  .left-297 {
+    left: 18.5625rem;
+  }
+  .left-34 {
+    left: 2.125rem;
+  }
+
+  .text-balance {
+    text-wrap: balance;
+  }
+}
+
+input[type="number"]::-webkit-outer-spin-button,
+input[type="number"]::-webkit-inner-spin-button {
+  -webkit-appearance: none;
+  margin: 0;
+}
+
+input[type="number"] {
+  -moz-appearance: textfield;
 }
diff --git a/autogpt_platform/frontend/src/app/layout.tsx b/autogpt_platform/frontend/src/app/layout.tsx
index 5d1f399b3f37..93649bc52d89 100644
--- a/autogpt_platform/frontend/src/app/layout.tsx
+++ b/autogpt_platform/frontend/src/app/layout.tsx
@@ -1,20 +1,17 @@
-import React from "react";
+import { fonts } from "@/components/styles/fonts";
 import type { Metadata } from "next";
-import { Inter } from "next/font/google";
-import { Providers } from "@/app/providers";
-import { cn } from "@/lib/utils";
-import { Navbar } from "@/components/agptui/Navbar";
+import React from "react";
 
 import "./globals.css";
-import TallyPopupSimple from "@/components/TallyPopup";
-import { GoogleAnalytics } from "@next/third-parties/google";
-import { Toaster } from "@/components/ui/toaster";
-import { IconType } from "@/components/ui/icons";
 
-const inter = Inter({ subsets: ["latin"] });
+import { Providers } from "@/app/providers";
+import TallyPopupSimple from "@/components/TallyPopup";
+import { GoogleAnalytics } from "@/components/analytics/google-analytics";
+import { Toaster } from "@/components/molecules/Toast/toaster";
+import { ReactQueryDevtools } from "@tanstack/react-query-devtools";
 
 export const metadata: Metadata = {
-  title: "NextGen AutoGPT",
+  title: "AutoGPT Platform",
   description: "Your one stop shop to creating AI Agents",
 };
 
@@ -24,8 +21,17 @@ export default async function RootLayout({
   children: React.ReactNode;
 }>) {
   return (
-    <html lang="en">
-      <body className={cn("antialiased transition-colors", inter.className)}>
+    <html
+      lang="en"
+      className={`${fonts.poppins.variable} ${fonts.sans.variable} ${fonts.mono.variable}`}
+      suppressHydrationWarning
+    >
+      <head>
+        <GoogleAnalytics
+          gaId={process.env.NEXT_PUBLIC_GA_MEASUREMENT_ID || "G-FH2XK2W4GN"} // This is the measurement Id for the Google Analytics dev project
+        />
+      </head>
+      <body>
         <Providers
           attribute="class"
           defaultTheme="light"
@@ -33,74 +39,21 @@ export default async function RootLayout({
           // enableSystem
           disableTransitionOnChange
         >
-          <div className="flex min-h-screen flex-col items-center justify-center">
-            <Navbar
-              links={[
-                {
-                  name: "Agent Store",
-                  href: "/store",
-                },
-                {
-                  name: "Library",
-                  href: "/monitoring",
-                },
-                {
-                  name: "Build",
-                  href: "/build",
-                },
-              ]}
-              menuItemGroups={[
-                {
-                  items: [
-                    {
-                      icon: IconType.Edit,
-                      text: "Edit profile",
-                      href: "/store/profile",
-                    },
-                  ],
-                },
-                {
-                  items: [
-                    {
-                      icon: IconType.LayoutDashboard,
-                      text: "Creator Dashboard",
-                      href: "/store/dashboard",
-                    },
-                    {
-                      icon: IconType.UploadCloud,
-                      text: "Publish an agent",
-                    },
-                  ],
-                },
-                {
-                  items: [
-                    {
-                      icon: IconType.Settings,
-                      text: "Settings",
-                      href: "/store/settings",
-                    },
-                  ],
-                },
-                {
-                  items: [
-                    {
-                      icon: IconType.LogOut,
-                      text: "Log out",
-                    },
-                  ],
-                },
-              ]}
-            />
-            <main className="flex-1 p-4">{children}</main>
+          <div className="flex min-h-screen flex-col items-stretch justify-items-stretch">
+            {children}
             <TallyPopupSimple />
+
+            {/* React Query DevTools is only available in development */}
+            {process.env.NEXT_PUBLIC_REACT_QUERY_DEVTOOL && (
+              <ReactQueryDevtools
+                initialIsOpen={false}
+                buttonPosition={"bottom-left"}
+              />
+            )}
           </div>
           <Toaster />
         </Providers>
       </body>
-
-      <GoogleAnalytics
-        gaId={process.env.GA_MEASUREMENT_ID || "G-FH2XK2W4GN"} // This is the measurement Id for the Google Analytics dev project
-      />
     </html>
   );
 }
diff --git a/autogpt_platform/frontend/src/app/login/actions.ts b/autogpt_platform/frontend/src/app/login/actions.ts
deleted file mode 100644
index 7c3fb8125e27..000000000000
--- a/autogpt_platform/frontend/src/app/login/actions.ts
+++ /dev/null
@@ -1,105 +0,0 @@
-"use server";
-import { revalidatePath } from "next/cache";
-import { redirect } from "next/navigation";
-import { z } from "zod";
-import * as Sentry from "@sentry/nextjs";
-import getServerSupabase from "@/lib/supabase/getServerSupabase";
-import BackendAPI from "@/lib/autogpt-server-api";
-
-const loginFormSchema = z.object({
-  email: z.string().email().min(2).max(64),
-  password: z.string().min(6).max(64),
-});
-
-export async function logout() {
-  return await Sentry.withServerActionInstrumentation(
-    "logout",
-    {},
-    async () => {
-      const supabase = getServerSupabase();
-
-      if (!supabase) {
-        redirect("/error");
-      }
-
-      const { error } = await supabase.auth.signOut();
-
-      if (error) {
-        console.log("Error logging out", error);
-        return error.message;
-      }
-
-      revalidatePath("/", "layout");
-      redirect("/login");
-    },
-  );
-}
-
-export async function login(values: z.infer<typeof loginFormSchema>) {
-  return await Sentry.withServerActionInstrumentation("login", {}, async () => {
-    const supabase = getServerSupabase();
-    const api = new BackendAPI();
-
-    if (!supabase) {
-      redirect("/error");
-    }
-
-    // We are sure that the values are of the correct type because zod validates the form
-    const { data, error } = await supabase.auth.signInWithPassword(values);
-
-    await api.createUser();
-
-    if (error) {
-      console.log("Error logging in", error);
-      if (error.status == 400) {
-        // Hence User is not present
-        redirect("/login");
-      }
-
-      return error.message;
-    }
-
-    if (data.session) {
-      await supabase.auth.setSession(data.session);
-    }
-    console.log("Logged in");
-    revalidatePath("/", "layout");
-    redirect("/");
-  });
-}
-
-export async function signup(values: z.infer<typeof loginFormSchema>) {
-  "use server";
-  return await Sentry.withServerActionInstrumentation(
-    "signup",
-    {},
-    async () => {
-      const supabase = getServerSupabase();
-
-      if (!supabase) {
-        redirect("/error");
-      }
-
-      // We are sure that the values are of the correct type because zod validates the form
-      const { data, error } = await supabase.auth.signUp(values);
-
-      if (error) {
-        console.log("Error signing up", error);
-        if (error.message.includes("P0001")) {
-          return "Please join our waitlist for your turn: https://agpt.co/waitlist";
-        }
-        if (error.code?.includes("user_already_exists")) {
-          redirect("/login");
-        }
-        return error.message;
-      }
-
-      if (data.session) {
-        await supabase.auth.setSession(data.session);
-      }
-      console.log("Signed up");
-      revalidatePath("/", "layout");
-      redirect("/store/profile");
-    },
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/login/page.tsx b/autogpt_platform/frontend/src/app/login/page.tsx
deleted file mode 100644
index 969ac5dcb38f..000000000000
--- a/autogpt_platform/frontend/src/app/login/page.tsx
+++ /dev/null
@@ -1,243 +0,0 @@
-"use client";
-import { login, signup } from "./actions";
-import { Button } from "@/components/ui/button";
-import {
-  Form,
-  FormControl,
-  FormDescription,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from "@/components/ui/form";
-import { useForm } from "react-hook-form";
-import { Input } from "@/components/ui/input";
-import { z } from "zod";
-import { zodResolver } from "@hookform/resolvers/zod";
-import { PasswordInput } from "@/components/PasswordInput";
-import { FaGoogle, FaGithub, FaDiscord, FaSpinner } from "react-icons/fa";
-import { useState } from "react";
-import { useRouter } from "next/navigation";
-import Link from "next/link";
-import { Checkbox } from "@/components/ui/checkbox";
-import useSupabase from "@/hooks/useSupabase";
-import Spinner from "@/components/Spinner";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-const loginFormSchema = z.object({
-  email: z.string().email().min(2).max(64),
-  password: z.string().min(6).max(64),
-  agreeToTerms: z.boolean().refine((value) => value === true, {
-    message: "You must agree to the Terms of Use and Privacy Policy",
-  }),
-});
-
-export default function LoginPage() {
-  const { supabase, user, isUserLoading } = useSupabase();
-  const [feedback, setFeedback] = useState<string | null>(null);
-  const router = useRouter();
-  const [isLoading, setIsLoading] = useState(false);
-  const api = useBackendAPI();
-
-  const form = useForm<z.infer<typeof loginFormSchema>>({
-    resolver: zodResolver(loginFormSchema),
-    defaultValues: {
-      email: "",
-      password: "",
-      agreeToTerms: false,
-    },
-  });
-
-  if (user) {
-    console.debug("User exists, redirecting to /");
-    router.push("/");
-  }
-
-  if (isUserLoading || user) {
-    return <Spinner />;
-  }
-
-  if (!supabase) {
-    return (
-      <div>
-        User accounts are disabled because Supabase client is unavailable
-      </div>
-    );
-  }
-
-  async function handleSignInWithProvider(
-    provider: "google" | "github" | "discord",
-  ) {
-    const { data, error } = await supabase!.auth.signInWithOAuth({
-      provider: provider,
-      options: {
-        redirectTo:
-          process.env.AUTH_CALLBACK_URL ??
-          `http://localhost:3000/auth/callback`,
-      },
-    });
-
-    await api.createUser();
-
-    if (!error) {
-      setFeedback(null);
-      return;
-    }
-    setFeedback(error.message);
-  }
-
-  const onLogin = async (data: z.infer<typeof loginFormSchema>) => {
-    setIsLoading(true);
-    const error = await login(data);
-    setIsLoading(false);
-    if (error) {
-      setFeedback(error);
-      return;
-    }
-    setFeedback(null);
-  };
-
-  return (
-    <div className="flex h-[80vh] items-center justify-center">
-      <div className="w-full max-w-md space-y-6 rounded-lg p-8 shadow-md">
-        <h1 className="text-lg font-medium">Log in to your Account </h1>
-        {/* <div className="mb-6 space-y-2">
-          <Button
-            className="w-full"
-            onClick={() => handleSignInWithProvider("google")}
-            variant="outline"
-            type="button"
-            disabled={isLoading}
-          >
-            <FaGoogle className="mr-2 h-4 w-4" />
-            Sign in with Google
-          </Button>
-          <Button
-            className="w-full"
-            onClick={() => handleSignInWithProvider("github")}
-            variant="outline"
-            type="button"
-            disabled={isLoading}
-          >
-            <FaGithub className="mr-2 h-4 w-4" />
-            Sign in with GitHub
-          </Button>
-          <Button
-            className="w-full"
-            onClick={() => handleSignInWithProvider("discord")}
-            variant="outline"
-            type="button"
-            disabled={isLoading}
-          >
-            <FaDiscord className="mr-2 h-4 w-4" />
-            Sign in with Discord
-          </Button>
-        </div> */}
-        <Form {...form}>
-          <form onSubmit={form.handleSubmit(onLogin)}>
-            <FormField
-              control={form.control}
-              name="email"
-              render={({ field }) => (
-                <FormItem className="mb-4">
-                  <FormLabel>Email</FormLabel>
-                  <FormControl>
-                    <Input placeholder="user@email.com" {...field} />
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <FormField
-              control={form.control}
-              name="password"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>Password</FormLabel>
-                  <FormControl>
-                    <PasswordInput placeholder="password" {...field} />
-                  </FormControl>
-                  <FormDescription>
-                    Password needs to be at least 6 characters long
-                  </FormDescription>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <FormField
-              control={form.control}
-              name="agreeToTerms"
-              render={({ field }) => (
-                <FormItem className="mt-4 flex flex-row items-start space-x-3 space-y-0">
-                  <FormControl>
-                    <Checkbox
-                      checked={field.value}
-                      onCheckedChange={field.onChange}
-                    />
-                  </FormControl>
-                  <div className="space-y-1 leading-none">
-                    <FormLabel>
-                      I agree to the{" "}
-                      <Link
-                        href="https://auto-gpt.notion.site/Terms-of-Use-11400ef5bece80d0b087d7831c5fd6bf"
-                        className="underline"
-                      >
-                        Terms of Use
-                      </Link>{" "}
-                      and{" "}
-                      <Link
-                        href="https://www.notion.so/auto-gpt/Privacy-Policy-ab11c9c20dbd4de1a15dcffe84d77984"
-                        className="underline"
-                      >
-                        Privacy Policy
-                      </Link>
-                    </FormLabel>
-                    <FormMessage />
-                  </div>
-                </FormItem>
-              )}
-            />
-            <div className="mb-6 mt-8 flex w-full space-x-4">
-              <Button
-                className="flex w-full justify-center"
-                type="submit"
-                disabled={isLoading}
-                onClick={async () => {
-                  setIsLoading(true);
-                  const values = form.getValues();
-                  const result = await login(values);
-                  if (result) {
-                    setFeedback(result);
-                  }
-                  setIsLoading(false);
-                }}
-              >
-                {isLoading ? <FaSpinner className="animate-spin" /> : "Log in"}
-              </Button>
-              <Button
-                className="flex w-full justify-center"
-                type="button"
-                disabled={isLoading}
-                onClick={async () => {
-                  setIsLoading(true);
-                  const values = form.getValues();
-                  const result = await signup(values);
-                  if (result) {
-                    setFeedback(result);
-                  }
-                  setIsLoading(false);
-                }}
-              >
-                {isLoading ? <FaSpinner className="animate-spin" /> : "Sign up"}
-              </Button>
-            </div>
-          </form>
-          <p className="text-sm text-red-500">{feedback}</p>
-        </Form>
-        <Link href="/reset_password" className="text-sm">
-          Forgot your password?
-        </Link>
-      </div>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/monitoring/page.tsx b/autogpt_platform/frontend/src/app/monitoring/page.tsx
deleted file mode 100644
index 66a37c96cfc4..000000000000
--- a/autogpt_platform/frontend/src/app/monitoring/page.tsx
+++ /dev/null
@@ -1,141 +0,0 @@
-"use client";
-import React, { useCallback, useEffect, useState } from "react";
-
-import { GraphExecution, Schedule, GraphMeta } from "@/lib/autogpt-server-api";
-
-import { Card } from "@/components/ui/card";
-import {
-  AgentFlowList,
-  FlowInfo,
-  FlowRunInfo,
-  FlowRunsList,
-  FlowRunsStats,
-} from "@/components/monitor";
-import { SchedulesTable } from "@/components/monitor/scheduleTable";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-const Monitor = () => {
-  const [flows, setFlows] = useState<GraphMeta[]>([]);
-  const [executions, setExecutions] = useState<GraphExecution[]>([]);
-  const [schedules, setSchedules] = useState<Schedule[]>([]);
-  const [selectedFlow, setSelectedFlow] = useState<GraphMeta | null>(null);
-  const [selectedRun, setSelectedRun] = useState<GraphExecution | null>(null);
-  const [sortColumn, setSortColumn] = useState<keyof Schedule>("id");
-  const [sortDirection, setSortDirection] = useState<"asc" | "desc">("asc");
-  const api = useBackendAPI();
-
-  const fetchSchedules = useCallback(async () => {
-    setSchedules(await api.listSchedules());
-  }, [api]);
-
-  const removeSchedule = useCallback(
-    async (scheduleId: string) => {
-      const removedSchedule = await api.deleteSchedule(scheduleId);
-      setSchedules(schedules.filter((s) => s.id !== removedSchedule.id));
-    },
-    [schedules, api],
-  );
-
-  const fetchAgents = useCallback(() => {
-    api.listLibraryAgents().then((agent) => {
-      setFlows(agent);
-    });
-    api.getExecutions().then((executions) => {
-      setExecutions(executions);
-    });
-  }, [api]);
-
-  useEffect(() => {
-    fetchAgents();
-  }, [fetchAgents]);
-
-  useEffect(() => {
-    fetchSchedules();
-  }, [fetchSchedules]);
-
-  useEffect(() => {
-    const intervalId = setInterval(() => fetchAgents(), 5000);
-    return () => clearInterval(intervalId);
-  }, [fetchAgents, flows]);
-
-  const column1 = "md:col-span-2 xl:col-span-3 xxl:col-span-2";
-  const column2 = "md:col-span-3 lg:col-span-2 xl:col-span-3";
-  const column3 = "col-span-full xl:col-span-4 xxl:col-span-5";
-
-  const handleSort = (column: keyof Schedule) => {
-    if (sortColumn === column) {
-      setSortDirection(sortDirection === "asc" ? "desc" : "asc");
-    } else {
-      setSortColumn(column);
-      setSortDirection("asc");
-    }
-  };
-
-  return (
-    <div
-      className="grid grid-cols-1 gap-4 md:grid-cols-5 lg:grid-cols-4 xl:grid-cols-10"
-      data-testid="monitor-page"
-    >
-      <AgentFlowList
-        className={column1}
-        flows={flows}
-        executions={executions}
-        selectedFlow={selectedFlow}
-        onSelectFlow={(f) => {
-          setSelectedRun(null);
-          setSelectedFlow(f.id == selectedFlow?.id ? null : (f as GraphMeta));
-        }}
-      />
-      <FlowRunsList
-        className={column2}
-        flows={flows}
-        executions={[
-          ...(selectedFlow
-            ? executions.filter((v) => v.graph_id == selectedFlow.id)
-            : executions),
-        ].sort((a, b) => Number(b.started_at) - Number(a.started_at))}
-        selectedRun={selectedRun}
-        onSelectRun={(r) =>
-          setSelectedRun(r.execution_id == selectedRun?.execution_id ? null : r)
-        }
-      />
-      {(selectedRun && (
-        <FlowRunInfo
-          flow={
-            selectedFlow || flows.find((f) => f.id == selectedRun.graph_id)!
-          }
-          execution={selectedRun}
-          className={column3}
-        />
-      )) ||
-        (selectedFlow && (
-          <FlowInfo
-            flow={selectedFlow}
-            executions={executions.filter((e) => e.graph_id == selectedFlow.id)}
-            className={column3}
-            refresh={() => {
-              fetchAgents();
-              setSelectedFlow(null);
-              setSelectedRun(null);
-            }}
-          />
-        )) || (
-          <Card className={`p-6 ${column3}`}>
-            <FlowRunsStats flows={flows} executions={executions} />
-          </Card>
-        )}
-      <div className="col-span-full xl:col-span-6">
-        <SchedulesTable
-          schedules={schedules} // all schedules
-          agents={flows} // for filtering purpose
-          onRemoveSchedule={removeSchedule}
-          sortColumn={sortColumn}
-          sortDirection={sortDirection}
-          onSort={handleSort}
-        />
-      </div>
-    </div>
-  );
-};
-
-export default Monitor;
diff --git a/autogpt_platform/frontend/src/app/page.tsx b/autogpt_platform/frontend/src/app/page.tsx
index b59d651f0b42..5a079f262994 100644
--- a/autogpt_platform/frontend/src/app/page.tsx
+++ b/autogpt_platform/frontend/src/app/page.tsx
@@ -3,5 +3,5 @@
 import { redirect } from "next/navigation";
 
 export default function Page() {
-  redirect("/store");
+  redirect("/marketplace");
 }
diff --git a/autogpt_platform/frontend/src/app/profile/page.tsx b/autogpt_platform/frontend/src/app/profile/page.tsx
deleted file mode 100644
index b3097577db3a..000000000000
--- a/autogpt_platform/frontend/src/app/profile/page.tsx
+++ /dev/null
@@ -1,227 +0,0 @@
-"use client";
-import { Button } from "@/components/ui/button";
-import { useRouter } from "next/navigation";
-import { useCallback, useContext, useMemo, useState } from "react";
-import { Separator } from "@/components/ui/separator";
-import { useToast } from "@/components/ui/use-toast";
-import { IconKey, IconUser } from "@/components/ui/icons";
-import { LogOutIcon, Trash2Icon } from "lucide-react";
-import { providerIcons } from "@/components/integrations/credentials-input";
-import { CredentialsProvidersContext } from "@/components/integrations/credentials-provider";
-import {
-  Table,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeader,
-  TableRow,
-} from "@/components/ui/table";
-import { CredentialsProviderName } from "@/lib/autogpt-server-api";
-import {
-  AlertDialog,
-  AlertDialogAction,
-  AlertDialogCancel,
-  AlertDialogContent,
-  AlertDialogDescription,
-  AlertDialogFooter,
-  AlertDialogHeader,
-  AlertDialogTitle,
-} from "@/components/ui/alert-dialog";
-import useSupabase from "@/hooks/useSupabase";
-import Spinner from "@/components/Spinner";
-
-export default function PrivatePage() {
-  const { supabase, user, isUserLoading } = useSupabase();
-  const router = useRouter();
-  const providers = useContext(CredentialsProvidersContext);
-  const { toast } = useToast();
-
-  const [confirmationDialogState, setConfirmationDialogState] = useState<
-    | {
-        open: true;
-        message: string;
-        onConfirm: () => void;
-        onReject: () => void;
-      }
-    | { open: false }
-  >({ open: false });
-
-  const removeCredentials = useCallback(
-    async (
-      provider: CredentialsProviderName,
-      id: string,
-      force: boolean = false,
-    ) => {
-      if (!providers || !providers[provider]) {
-        return;
-      }
-
-      let result;
-      try {
-        result = await providers[provider].deleteCredentials(id, force);
-      } catch (error: any) {
-        toast({
-          title: "Something went wrong when deleting credentials: " + error,
-          variant: "destructive",
-          duration: 2000,
-        });
-        setConfirmationDialogState({ open: false });
-        return;
-      }
-      if (result.deleted) {
-        if (result.revoked) {
-          toast({
-            title: "Credentials deleted",
-            duration: 2000,
-          });
-        } else {
-          toast({
-            title: "Credentials deleted from AutoGPT",
-            description: `You may also manually remove the connection to AutoGPT at ${provider}!`,
-            duration: 3000,
-          });
-        }
-        setConfirmationDialogState({ open: false });
-      } else if (result.need_confirmation) {
-        setConfirmationDialogState({
-          open: true,
-          message: result.message,
-          onConfirm: () => removeCredentials(provider, id, true),
-          onReject: () => setConfirmationDialogState({ open: false }),
-        });
-      }
-    },
-    [providers, toast],
-  );
-
-  //TODO: remove when the way system credentials are handled is updated
-  // This contains ids for built-in "Use Credits for X" credentials
-  const hiddenCredentials = useMemo(
-    () => [
-      "fdb7f412-f519-48d1-9b5f-d2f73d0e01fe", // Revid
-      "760f84fc-b270-42de-91f6-08efe1b512d0", // Ideogram
-      "6b9fc200-4726-4973-86c9-cd526f5ce5db", // Replicate
-      "53c25cb8-e3ee-465c-a4d1-e75a4c899c2a", // OpenAI
-      "24e5d942-d9e3-4798-8151-90143ee55629", // Anthropic
-      "4ec22295-8f97-4dd1-b42b-2c6957a02545", // Groq
-      "7f7b0654-c36b-4565-8fa7-9a52575dfae2", // D-ID
-      "7f26de70-ba0d-494e-ba76-238e65e7b45f", // Jina
-      "66f20754-1b81-48e4-91d0-f4f0dd82145f", // Unreal Speech
-      "b5a0e27d-0c98-4df3-a4b9-10193e1f3c40", // Open Router
-    ],
-    [],
-  );
-
-  if (isUserLoading) {
-    return <Spinner />;
-  }
-
-  if (!user || !supabase) {
-    router.push("/login");
-    return null;
-  }
-
-  const allCredentials = providers
-    ? Object.values(providers).flatMap((provider) =>
-        [...provider.savedOAuthCredentials, ...provider.savedApiKeys]
-          .filter((cred) => !hiddenCredentials.includes(cred.id))
-          .map((credentials) => ({
-            ...credentials,
-            provider: provider.provider,
-            providerName: provider.providerName,
-            ProviderIcon: providerIcons[provider.provider],
-            TypeIcon: { oauth2: IconUser, api_key: IconKey }[credentials.type],
-          })),
-      )
-    : [];
-
-  return (
-    <div className="mx-auto max-w-3xl md:py-8">
-      <div className="flex items-center justify-between">
-        <p>
-          Hello <span data-testid="profile-email">{user.email}</span>
-        </p>
-        <Button onClick={() => supabase.auth.signOut()}>
-          <LogOutIcon className="mr-1.5 size-4" />
-          Log out
-        </Button>
-      </div>
-      <Separator className="my-6" />
-      <h2 className="mb-4 text-lg">Connections & Credentials</h2>
-      <Table>
-        <TableHeader>
-          <TableRow>
-            <TableHead>Provider</TableHead>
-            <TableHead>Name</TableHead>
-            <TableHead>Actions</TableHead>
-          </TableRow>
-        </TableHeader>
-        <TableBody>
-          {allCredentials.map((cred) => (
-            <TableRow key={cred.id}>
-              <TableCell>
-                <div className="flex items-center space-x-1.5">
-                  <cred.ProviderIcon className="h-4 w-4" />
-                  <strong>{cred.providerName}</strong>
-                </div>
-              </TableCell>
-              <TableCell>
-                <div className="flex h-full items-center space-x-1.5">
-                  <cred.TypeIcon />
-                  <span>{cred.title || cred.username}</span>
-                </div>
-                <small className="text-muted-foreground">
-                  {
-                    {
-                      oauth2: "OAuth2 credentials",
-                      api_key: "API key",
-                    }[cred.type]
-                  }{" "}
-                  - <code>{cred.id}</code>
-                </small>
-              </TableCell>
-              <TableCell className="w-0 whitespace-nowrap">
-                <Button
-                  variant="destructive"
-                  onClick={() => removeCredentials(cred.provider, cred.id)}
-                >
-                  <Trash2Icon className="mr-1.5 size-4" /> Delete
-                </Button>
-              </TableCell>
-            </TableRow>
-          ))}
-        </TableBody>
-      </Table>
-
-      <AlertDialog open={confirmationDialogState.open}>
-        <AlertDialogContent>
-          <AlertDialogHeader>
-            <AlertDialogTitle>Are you sure?</AlertDialogTitle>
-            <AlertDialogDescription>
-              {confirmationDialogState.open && confirmationDialogState.message}
-            </AlertDialogDescription>
-          </AlertDialogHeader>
-          <AlertDialogFooter>
-            <AlertDialogCancel
-              onClick={() =>
-                confirmationDialogState.open &&
-                confirmationDialogState.onReject()
-              }
-            >
-              Cancel
-            </AlertDialogCancel>
-            <AlertDialogAction
-              variant="destructive"
-              onClick={() =>
-                confirmationDialogState.open &&
-                confirmationDialogState.onConfirm()
-              }
-            >
-              Continue
-            </AlertDialogAction>
-          </AlertDialogFooter>
-        </AlertDialogContent>
-      </AlertDialog>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/providers.tsx b/autogpt_platform/frontend/src/app/providers.tsx
index bae111b84dea..ef14bb723c7b 100644
--- a/autogpt_platform/frontend/src/app/providers.tsx
+++ b/autogpt_platform/frontend/src/app/providers.tsx
@@ -1,23 +1,35 @@
 "use client";
 
-import * as React from "react";
-import { ThemeProvider as NextThemesProvider } from "next-themes";
-import { ThemeProviderProps } from "next-themes";
-import { BackendAPIProvider } from "@/lib/autogpt-server-api/context";
-import { TooltipProvider } from "@/components/ui/tooltip";
+import { LaunchDarklyProvider } from "@/services/feature-flags/feature-flag-provider";
 import CredentialsProvider from "@/components/integrations/credentials-provider";
-import { LaunchDarklyProvider } from "@/components/feature-flag/feature-flag-provider";
+import OnboardingProvider from "@/components/onboarding/onboarding-provider";
+import { TooltipProvider } from "@/components/ui/tooltip";
+import { BackendAPIProvider } from "@/lib/autogpt-server-api/context";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import { QueryClientProvider } from "@tanstack/react-query";
+import {
+  ThemeProvider as NextThemesProvider,
+  ThemeProviderProps,
+} from "next-themes";
+import { NuqsAdapter } from "nuqs/adapters/next/app";
 
 export function Providers({ children, ...props }: ThemeProviderProps) {
+  const queryClient = getQueryClient();
   return (
-    <NextThemesProvider {...props}>
-      <BackendAPIProvider>
-        <CredentialsProvider>
-          <LaunchDarklyProvider>
-            <TooltipProvider>{children}</TooltipProvider>
-          </LaunchDarklyProvider>
-        </CredentialsProvider>
-      </BackendAPIProvider>
-    </NextThemesProvider>
+    <QueryClientProvider client={queryClient}>
+      <NuqsAdapter>
+        <NextThemesProvider {...props}>
+          <BackendAPIProvider>
+            <CredentialsProvider>
+              <LaunchDarklyProvider>
+                <OnboardingProvider>
+                  <TooltipProvider>{children}</TooltipProvider>
+                </OnboardingProvider>
+              </LaunchDarklyProvider>
+            </CredentialsProvider>
+          </BackendAPIProvider>
+        </NextThemesProvider>
+      </NuqsAdapter>
+    </QueryClientProvider>
   );
 }
diff --git a/autogpt_platform/frontend/src/app/reset_password/page.tsx b/autogpt_platform/frontend/src/app/reset_password/page.tsx
deleted file mode 100644
index b63f5a2ffd6c..000000000000
--- a/autogpt_platform/frontend/src/app/reset_password/page.tsx
+++ /dev/null
@@ -1,214 +0,0 @@
-"use client";
-import { Button } from "@/components/ui/button";
-import {
-  Form,
-  FormControl,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from "@/components/ui/form";
-import { Input } from "@/components/ui/input";
-import useSupabase from "@/hooks/useSupabase";
-import { zodResolver } from "@hookform/resolvers/zod";
-import { useRouter } from "next/navigation";
-import { useState } from "react";
-import { useForm } from "react-hook-form";
-import { FaSpinner } from "react-icons/fa";
-import { z } from "zod";
-
-const emailFormSchema = z.object({
-  email: z.string().email().min(2).max(64),
-});
-
-const resetPasswordFormSchema = z
-  .object({
-    password: z.string().min(6).max(64),
-    confirmPassword: z.string().min(6).max(64),
-  })
-  .refine((data) => data.password === data.confirmPassword, {
-    message: "Passwords don't match",
-    path: ["confirmPassword"],
-  });
-
-export default function ResetPasswordPage() {
-  const { supabase, user, isUserLoading } = useSupabase();
-  const router = useRouter();
-  const [isLoading, setIsLoading] = useState(false);
-  const [feedback, setFeedback] = useState<string | null>(null);
-
-  const emailForm = useForm<z.infer<typeof emailFormSchema>>({
-    resolver: zodResolver(emailFormSchema),
-    defaultValues: {
-      email: "",
-    },
-  });
-
-  const resetPasswordForm = useForm<z.infer<typeof resetPasswordFormSchema>>({
-    resolver: zodResolver(resetPasswordFormSchema),
-    defaultValues: {
-      password: "",
-      confirmPassword: "",
-    },
-  });
-
-  if (isUserLoading) {
-    return (
-      <div className="flex h-[80vh] items-center justify-center">
-        <FaSpinner className="mr-2 h-16 w-16 animate-spin" />
-      </div>
-    );
-  }
-
-  if (!supabase) {
-    return (
-      <div>
-        User accounts are disabled because Supabase client is unavailable
-      </div>
-    );
-  }
-
-  async function onSendEmail(d: z.infer<typeof emailFormSchema>) {
-    setIsLoading(true);
-    setFeedback(null);
-
-    if (!(await emailForm.trigger())) {
-      setIsLoading(false);
-      return;
-    }
-
-    const { data, error } = await supabase!.auth.resetPasswordForEmail(
-      d.email,
-      {
-        redirectTo: `${window.location.origin}/reset_password`,
-      },
-    );
-
-    if (error) {
-      setFeedback(error.message);
-      setIsLoading(false);
-      return;
-    }
-
-    setFeedback("Password reset email sent. Please check your email.");
-    setIsLoading(false);
-  }
-
-  async function onResetPassword(d: z.infer<typeof resetPasswordFormSchema>) {
-    setIsLoading(true);
-    setFeedback(null);
-
-    if (!(await resetPasswordForm.trigger())) {
-      setIsLoading(false);
-      return;
-    }
-
-    const { data, error } = await supabase!.auth.updateUser({
-      password: d.password,
-    });
-
-    if (error) {
-      setFeedback(error.message);
-      setIsLoading(false);
-      return;
-    }
-
-    await supabase!.auth.signOut();
-    router.push("/login");
-  }
-
-  return (
-    <div className="flex h-full flex-col items-center justify-center">
-      <div className="w-full max-w-md">
-        <h1 className="text-center text-3xl font-bold">Reset Password</h1>
-        {user ? (
-          <form
-            onSubmit={resetPasswordForm.handleSubmit(onResetPassword)}
-            className="mt-6 space-y-6"
-          >
-            <Form {...resetPasswordForm}>
-              <FormField
-                control={resetPasswordForm.control}
-                name="password"
-                render={({ field }) => (
-                  <FormItem className="mb-4">
-                    <FormLabel>Password</FormLabel>
-                    <FormControl>
-                      <Input
-                        type="password"
-                        placeholder="password"
-                        {...field}
-                      />
-                    </FormControl>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-              <FormField
-                control={resetPasswordForm.control}
-                name="confirmPassword"
-                render={({ field }) => (
-                  <FormItem className="mb">
-                    <FormLabel>Confirm Password</FormLabel>
-                    <FormControl>
-                      <Input
-                        type="password"
-                        placeholder="password"
-                        {...field}
-                      />
-                    </FormControl>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-              <Button
-                type="submit"
-                className="w-full"
-                disabled={isLoading}
-                onClick={() => onResetPassword(resetPasswordForm.getValues())}
-              >
-                {isLoading ? <FaSpinner className="mr-2 animate-spin" /> : null}
-                Reset Password
-              </Button>
-            </Form>
-          </form>
-        ) : (
-          <form
-            onSubmit={emailForm.handleSubmit(onSendEmail)}
-            className="mt-6 space-y-6"
-          >
-            <Form {...emailForm}>
-              <FormField
-                control={emailForm.control}
-                name="email"
-                render={({ field }) => (
-                  <FormItem className="mb-4">
-                    <FormLabel>Email</FormLabel>
-                    <FormControl>
-                      <Input placeholder="user@email.com" {...field} />
-                    </FormControl>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-              <Button
-                type="submit"
-                className="w-full"
-                disabled={isLoading}
-                onClick={() => onSendEmail(emailForm.getValues())}
-              >
-                {isLoading ? <FaSpinner className="mr-2 animate-spin" /> : null}
-                Send Reset Email
-              </Button>
-              {feedback ? (
-                <div className="text-center text-sm text-red-500">
-                  {feedback}
-                </div>
-              ) : null}
-            </Form>
-          </form>
-        )}
-      </div>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/store/(user)/dashboard/page.tsx b/autogpt_platform/frontend/src/app/store/(user)/dashboard/page.tsx
deleted file mode 100644
index 375375233cf1..000000000000
--- a/autogpt_platform/frontend/src/app/store/(user)/dashboard/page.tsx
+++ /dev/null
@@ -1,134 +0,0 @@
-"use client";
-
-import * as React from "react";
-import { AgentTable } from "@/components/agptui/AgentTable";
-import { AgentTableRowProps } from "@/components/agptui/AgentTableRow";
-import { Button } from "@/components/agptui/Button";
-import { Separator } from "@/components/ui/separator";
-import { StatusType } from "@/components/agptui/Status";
-import { PublishAgentPopout } from "@/components/agptui/composite/PublishAgentPopout";
-import { useCallback, useEffect, useState } from "react";
-import {
-  StoreSubmissionsResponse,
-  StoreSubmissionRequest,
-} from "@/lib/autogpt-server-api/types";
-import useSupabase from "@/hooks/useSupabase";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-export default function Page({}: {}) {
-  const { supabase } = useSupabase();
-  const api = useBackendAPI();
-  const [submissions, setSubmissions] = useState<StoreSubmissionsResponse>();
-  const [openPopout, setOpenPopout] = useState<boolean>(false);
-  const [submissionData, setSubmissionData] =
-    useState<StoreSubmissionRequest>();
-  const [popoutStep, setPopoutStep] = useState<"select" | "info" | "review">(
-    "info",
-  );
-
-  const fetchData = useCallback(async () => {
-    try {
-      const submissions = await api.getStoreSubmissions();
-      setSubmissions(submissions);
-    } catch (error) {
-      console.error("Error fetching submissions:", error);
-    }
-  }, [api, supabase]);
-
-  useEffect(() => {
-    if (!supabase) {
-      return;
-    }
-    fetchData();
-  }, [supabase]);
-
-  const onEditSubmission = useCallback((submission: StoreSubmissionRequest) => {
-    setSubmissionData(submission);
-    setPopoutStep("review");
-    setOpenPopout(true);
-  }, []);
-
-  const onDeleteSubmission = useCallback(
-    (submission_id: string) => {
-      if (!supabase) {
-        return;
-      }
-      api.deleteStoreSubmission(submission_id);
-      fetchData();
-    },
-    [supabase],
-  );
-
-  const onOpenPopout = useCallback(() => {
-    setPopoutStep("select");
-    setOpenPopout(true);
-  }, []);
-
-  return (
-    <main className="flex-1 py-8">
-      {/* Header Section */}
-      <div className="mb-8 flex flex-col gap-4 md:flex-row md:items-end md:justify-between">
-        <div className="space-y-6">
-          <h1 className="text-4xl font-medium text-neutral-900 dark:text-neutral-100">
-            Agent dashboard
-          </h1>
-          <div className="space-y-2">
-            <h2 className="text-xl font-medium text-neutral-900 dark:text-neutral-100">
-              Submit a New Agent
-            </h2>
-            <p className="text-sm text-[#707070] dark:text-neutral-400">
-              Select from the list of agents you currently have, or upload from
-              your local machine.
-            </p>
-          </div>
-        </div>
-        <PublishAgentPopout
-          trigger={
-            <Button
-              variant="default"
-              size="sm"
-              onClick={onOpenPopout}
-              className="h-9 rounded-full bg-black px-4 text-sm font-medium text-white hover:bg-neutral-700 dark:hover:bg-neutral-600"
-            >
-              Submit agent
-            </Button>
-          }
-          openPopout={openPopout}
-          inputStep={popoutStep}
-          submissionData={submissionData}
-        />
-      </div>
-
-      <Separator className="mb-8" />
-
-      {/* Agents Section */}
-      <div>
-        <h2 className="mb-4 text-xl font-bold text-neutral-900 dark:text-neutral-100">
-          Your uploaded agents
-        </h2>
-        <AgentTable
-          agents={
-            (submissions?.submissions.map((submission, index) => ({
-              id: index,
-              agent_id: submission.agent_id,
-              agent_version: submission.agent_version,
-              sub_heading: submission.sub_heading,
-              date_submitted: submission.date_submitted,
-              agentName: submission.name,
-              description: submission.description,
-              imageSrc: submission.image_urls || [""],
-              dateSubmitted: new Date(
-                submission.date_submitted,
-              ).toLocaleDateString(),
-              status: submission.status.toLowerCase() as StatusType,
-              runs: submission.runs,
-              rating: submission.rating,
-            })) as AgentTableRowProps[]) || []
-          }
-          onEditSubmission={onEditSubmission}
-          onDeleteSubmission={onDeleteSubmission}
-        />
-      </div>
-    </main>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/store/(user)/layout.tsx b/autogpt_platform/frontend/src/app/store/(user)/layout.tsx
deleted file mode 100644
index 0f90e5bd3b4a..000000000000
--- a/autogpt_platform/frontend/src/app/store/(user)/layout.tsx
+++ /dev/null
@@ -1,23 +0,0 @@
-import * as React from "react";
-import { Sidebar } from "@/components/agptui/Sidebar";
-
-export default function Layout({ children }: { children: React.ReactNode }) {
-  const sidebarLinkGroups = [
-    {
-      links: [
-        { text: "Creator Dashboard", href: "/store/dashboard" },
-        { text: "Agent dashboard", href: "/store/agent-dashboard" },
-        { text: "Integrations", href: "/store/integrations" },
-        { text: "Profile", href: "/store/profile" },
-        { text: "Settings", href: "/store/settings" },
-      ],
-    },
-  ];
-
-  return (
-    <div className="flex min-h-screen w-screen max-w-[1360px] flex-col lg:flex-row">
-      <Sidebar linkGroups={sidebarLinkGroups} />
-      <div className="pl-4">{children}</div>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/store/(user)/profile/page.tsx b/autogpt_platform/frontend/src/app/store/(user)/profile/page.tsx
deleted file mode 100644
index c9c475e03220..000000000000
--- a/autogpt_platform/frontend/src/app/store/(user)/profile/page.tsx
+++ /dev/null
@@ -1,37 +0,0 @@
-import * as React from "react";
-import { ProfileInfoForm } from "@/components/agptui/ProfileInfoForm";
-import BackendAPI from "@/lib/autogpt-server-api";
-import { CreatorDetails } from "@/lib/autogpt-server-api/types";
-
-async function getProfileData(api: BackendAPI) {
-  try {
-    const profile = await api.getStoreProfile("profile");
-    return {
-      profile,
-    };
-  } catch (error) {
-    console.error("Error fetching profile:", error);
-    return {
-      profile: null,
-    };
-  }
-}
-
-export default async function Page({}: {}) {
-  const api = new BackendAPI();
-  const { profile } = await getProfileData(api);
-
-  if (!profile) {
-    return (
-      <div className="flex flex-col items-center justify-center p-4">
-        <p>Please log in to view your profile</p>
-      </div>
-    );
-  }
-
-  return (
-    <div className="flex flex-col items-center justify-center px-4">
-      <ProfileInfoForm profile={profile as CreatorDetails} />
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/store/(user)/settings/page.tsx b/autogpt_platform/frontend/src/app/store/(user)/settings/page.tsx
deleted file mode 100644
index 761f5bb692fe..000000000000
--- a/autogpt_platform/frontend/src/app/store/(user)/settings/page.tsx
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as React from "react";
-import { SettingsInputForm } from "@/components/agptui/SettingsInputForm";
-
-export default function Page() {
-  return <SettingsInputForm />;
-}
diff --git a/autogpt_platform/frontend/src/app/store/agent/[creator]/[slug]/page.tsx b/autogpt_platform/frontend/src/app/store/agent/[creator]/[slug]/page.tsx
deleted file mode 100644
index f68b0517746a..000000000000
--- a/autogpt_platform/frontend/src/app/store/agent/[creator]/[slug]/page.tsx
+++ /dev/null
@@ -1,91 +0,0 @@
-import BackendAPI from "@/lib/autogpt-server-api";
-import { BreadCrumbs } from "@/components/agptui/BreadCrumbs";
-import { AgentInfo } from "@/components/agptui/AgentInfo";
-import { AgentImages } from "@/components/agptui/AgentImages";
-import { AgentsSection } from "@/components/agptui/composite/AgentsSection";
-import { BecomeACreator } from "@/components/agptui/BecomeACreator";
-import { Separator } from "@/components/ui/separator";
-import { Metadata } from "next";
-
-export async function generateMetadata({
-  params,
-}: {
-  params: { creator: string; slug: string };
-}): Promise<Metadata> {
-  const api = new BackendAPI();
-  const agent = await api.getStoreAgent(params.creator, params.slug);
-
-  return {
-    title: `${agent.agent_name} - AutoGPT Store`,
-    description: agent.description,
-  };
-}
-
-// export async function generateStaticParams() {
-//   const api = new BackendAPI();
-//   const agents = await api.getStoreAgents({ featured: true });
-//   return agents.agents.map((agent) => ({
-//     creator: agent.creator,
-//     slug: agent.slug,
-//   }));
-// }
-
-export default async function Page({
-  params,
-}: {
-  params: { creator: string; slug: string };
-}) {
-  const api = new BackendAPI();
-  const agent = await api.getStoreAgent(params.creator, params.slug);
-  const otherAgents = await api.getStoreAgents({ creator: params.creator });
-  const similarAgents = await api.getStoreAgents({
-    search_query: agent.categories[0],
-  });
-
-  const breadcrumbs = [
-    { name: "Store", link: "/store" },
-    { name: agent.creator, link: `/store/creator/${agent.creator}` },
-    { name: agent.agent_name, link: "#" },
-  ];
-
-  return (
-    <div className="mx-auto w-screen max-w-[1360px]">
-      <main className="px-4 md:mt-4 lg:mt-8">
-        <BreadCrumbs items={breadcrumbs} />
-
-        <div className="mt-4 flex flex-col items-start gap-4 sm:mt-6 sm:gap-6 md:mt-8 md:flex-row md:gap-8">
-          <div className="w-full md:w-auto md:shrink-0">
-            <AgentInfo
-              name={agent.agent_name}
-              creator={agent.creator}
-              shortDescription={agent.description}
-              longDescription={agent.description}
-              rating={agent.rating}
-              runs={agent.runs}
-              categories={agent.categories}
-              lastUpdated={agent.updated_at}
-              version={agent.versions[agent.versions.length - 1]}
-              storeListingVersionId={agent.store_listing_version_id}
-            />
-          </div>
-          <AgentImages images={agent.agent_image} />
-        </div>
-        <Separator className="my-6" />
-        <AgentsSection
-          agents={otherAgents.agents}
-          sectionTitle={`Other agents by ${agent.creator}`}
-        />
-        <Separator className="my-6" />
-        <AgentsSection
-          agents={similarAgents.agents}
-          sectionTitle="Similar agents"
-        />
-        <BecomeACreator
-          title="Become a Creator"
-          description="Join our ever-growing community of hackers and tinkerers"
-          buttonText="Become a Creator"
-        />
-      </main>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/store/creator/[creator]/page.tsx b/autogpt_platform/frontend/src/app/store/creator/[creator]/page.tsx
deleted file mode 100644
index 4a492a40f2a2..000000000000
--- a/autogpt_platform/frontend/src/app/store/creator/[creator]/page.tsx
+++ /dev/null
@@ -1,93 +0,0 @@
-import BackendAPI from "@/lib/autogpt-server-api";
-import {
-  CreatorDetails as Creator,
-  StoreAgent,
-} from "@/lib/autogpt-server-api";
-import { AgentsSection } from "@/components/agptui/composite/AgentsSection";
-import { BreadCrumbs } from "@/components/agptui/BreadCrumbs";
-import { Metadata } from "next";
-import { CreatorInfoCard } from "@/components/agptui/CreatorInfoCard";
-import { CreatorLinks } from "@/components/agptui/CreatorLinks";
-
-export async function generateMetadata({
-  params,
-}: {
-  params: { creator: string };
-}): Promise<Metadata> {
-  const api = new BackendAPI();
-  const creator = await api.getStoreCreator(params.creator);
-
-  return {
-    title: `${creator.name} - AutoGPT Store`,
-    description: creator.description,
-  };
-}
-
-// export async function generateStaticParams() {
-//   const api = new BackendAPI();
-//   const creators = await api.getStoreCreators({ featured: true });
-//   return creators.creators.map((creator) => ({
-//     creator: creator.username,
-//   }));
-// }
-
-export default async function Page({
-  params,
-}: {
-  params: { creator: string };
-}) {
-  const api = new BackendAPI();
-
-  try {
-    const creator = await api.getStoreCreator(params.creator);
-    const creatorAgents = await api.getStoreAgents({ creator: params.creator });
-
-    return (
-      <div className="mx-auto w-screen max-w-[1360px]">
-        <main className="px-4 md:mt-4 lg:mt-8">
-          <BreadCrumbs
-            items={[
-              { name: "Store", link: "/store" },
-              { name: creator.name, link: "#" },
-            ]}
-          />
-
-          <div className="mt-4 flex flex-col items-start gap-4 sm:mt-6 sm:gap-6 md:mt-8 md:flex-row md:gap-8">
-            <div className="w-full md:w-auto md:shrink-0">
-              <CreatorInfoCard
-                username={creator.name}
-                handle={creator.username}
-                avatarSrc={creator.avatar_url}
-                categories={creator.top_categories}
-                averageRating={creator.agent_rating}
-                totalRuns={creator.agent_runs}
-              />
-            </div>
-            <div className="flex min-w-0 flex-1 flex-col gap-4 sm:gap-6 md:gap-8">
-              <div className="font-neue text-2xl font-normal leading-normal text-neutral-900 sm:text-3xl md:text-[35px] md:leading-[45px]">
-                {creator.description}
-              </div>
-              <CreatorLinks links={creator.links} />
-            </div>
-          </div>
-          <div className="mt-8 sm:mt-12 md:mt-16">
-            <hr className="w-full bg-neutral-700" />
-            <AgentsSection
-              agents={creatorAgents.agents}
-              hideAvatars={true}
-              sectionTitle={`Agents by ${creator.name}`}
-            />
-          </div>
-        </main>
-      </div>
-    );
-  } catch (error) {
-    return (
-      <div className="flex h-screen w-full items-center justify-center">
-        <div className="font-neue text-2xl text-neutral-900">
-          Creator not found
-        </div>
-      </div>
-    );
-  }
-}
diff --git a/autogpt_platform/frontend/src/app/store/page.tsx b/autogpt_platform/frontend/src/app/store/page.tsx
deleted file mode 100644
index 5c23ca476d6f..000000000000
--- a/autogpt_platform/frontend/src/app/store/page.tsx
+++ /dev/null
@@ -1,181 +0,0 @@
-import * as React from "react";
-import { HeroSection } from "@/components/agptui/composite/HeroSection";
-import {
-  FeaturedSection,
-  FeaturedAgent,
-} from "@/components/agptui/composite/FeaturedSection";
-import {
-  AgentsSection,
-  Agent,
-} from "@/components/agptui/composite/AgentsSection";
-import { BecomeACreator } from "@/components/agptui/BecomeACreator";
-import {
-  FeaturedCreators,
-  FeaturedCreator,
-} from "@/components/agptui/composite/FeaturedCreators";
-import { Separator } from "@/components/ui/separator";
-import { Metadata } from "next";
-import {
-  StoreAgentsResponse,
-  CreatorsResponse,
-} from "@/lib/autogpt-server-api/types";
-import BackendAPI from "@/lib/autogpt-server-api";
-
-export const dynamic = "force-dynamic";
-
-async function getStoreData() {
-  try {
-    const api = new BackendAPI();
-
-    // Add error handling and default values
-    let featuredAgents: StoreAgentsResponse = {
-      agents: [],
-      pagination: {
-        total_items: 0,
-        total_pages: 0,
-        current_page: 0,
-        page_size: 0,
-      },
-    };
-    let topAgents: StoreAgentsResponse = {
-      agents: [],
-      pagination: {
-        total_items: 0,
-        total_pages: 0,
-        current_page: 0,
-        page_size: 0,
-      },
-    };
-    let featuredCreators: CreatorsResponse = {
-      creators: [],
-      pagination: {
-        total_items: 0,
-        total_pages: 0,
-        current_page: 0,
-        page_size: 0,
-      },
-    };
-
-    try {
-      [featuredAgents, topAgents, featuredCreators] = await Promise.all([
-        api.getStoreAgents({ featured: true }),
-        api.getStoreAgents({ sorted_by: "runs" }),
-        api.getStoreCreators({ featured: true, sorted_by: "num_agents" }),
-      ]);
-    } catch (error) {
-      console.error("Error fetching store data:", error);
-    }
-
-    return {
-      featuredAgents,
-      topAgents,
-      featuredCreators,
-    };
-  } catch (error) {
-    console.error("Error in getStoreData:", error);
-    return {
-      featuredAgents: {
-        agents: [],
-        pagination: {
-          total_items: 0,
-          total_pages: 0,
-          current_page: 0,
-          page_size: 0,
-        },
-      },
-      topAgents: {
-        agents: [],
-        pagination: {
-          total_items: 0,
-          total_pages: 0,
-          current_page: 0,
-          page_size: 0,
-        },
-      },
-      featuredCreators: {
-        creators: [],
-        pagination: {
-          total_items: 0,
-          total_pages: 0,
-          current_page: 0,
-          page_size: 0,
-        },
-      },
-    };
-  }
-}
-
-// FIX: Correct metadata
-export const metadata: Metadata = {
-  title: "Agent Store - NextGen AutoGPT",
-  description: "Find and use AI Agents created by our community",
-  applicationName: "NextGen AutoGPT Store",
-  authors: [{ name: "AutoGPT Team" }],
-  keywords: [
-    "AI agents",
-    "automation",
-    "artificial intelligence",
-    "AutoGPT",
-    "marketplace",
-  ],
-  robots: {
-    index: true,
-    follow: true,
-  },
-  openGraph: {
-    title: "Agent Store - NextGen AutoGPT",
-    description: "Find and use AI Agents created by our community",
-    type: "website",
-    siteName: "NextGen AutoGPT Store",
-    images: [
-      {
-        url: "/images/store-og.png",
-        width: 1200,
-        height: 630,
-        alt: "NextGen AutoGPT Store",
-      },
-    ],
-  },
-  twitter: {
-    card: "summary_large_image",
-    title: "Agent Store - NextGen AutoGPT",
-    description: "Find and use AI Agents created by our community",
-    images: ["/images/store-twitter.png"],
-  },
-  icons: {
-    icon: "/favicon.ico",
-    shortcut: "/favicon-16x16.png",
-    apple: "/apple-touch-icon.png",
-  },
-};
-
-export default async function Page({}: {}) {
-  // Get data server-side
-  const { featuredAgents, topAgents, featuredCreators } = await getStoreData();
-
-  return (
-    <div className="mx-auto w-screen max-w-[1360px]">
-      <main className="px-4">
-        <HeroSection />
-        <FeaturedSection
-          featuredAgents={featuredAgents.agents as FeaturedAgent[]}
-        />
-        <Separator />
-        <AgentsSection
-          sectionTitle="Top Agents"
-          agents={topAgents.agents as Agent[]}
-        />
-        <Separator />
-        <FeaturedCreators
-          featuredCreators={featuredCreators.creators as FeaturedCreator[]}
-        />
-        <Separator />
-        <BecomeACreator
-          title="Become a Creator"
-          description="Join our ever-growing community of hackers and tinkerers"
-          buttonText="Become a Creator"
-        />
-      </main>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/app/store/search/page.tsx b/autogpt_platform/frontend/src/app/store/search/page.tsx
deleted file mode 100644
index 2bb57cd4765d..000000000000
--- a/autogpt_platform/frontend/src/app/store/search/page.tsx
+++ /dev/null
@@ -1,186 +0,0 @@
-"use client";
-
-import { useState, useEffect } from "react";
-import { AgentsSection } from "@/components/agptui/composite/AgentsSection";
-import { SearchBar } from "@/components/agptui/SearchBar";
-import { FeaturedCreators } from "@/components/agptui/composite/FeaturedCreators";
-import { Separator } from "@/components/ui/separator";
-import { SearchFilterChips } from "@/components/agptui/SearchFilterChips";
-import { SortDropdown } from "@/components/agptui/SortDropdown";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-export default function Page({
-  searchParams,
-}: {
-  searchParams: { searchTerm?: string; sort?: string };
-}) {
-  return (
-    <SearchResults
-      searchTerm={searchParams.searchTerm || ""}
-      sort={searchParams.sort || "trending"}
-    />
-  );
-}
-
-function SearchResults({
-  searchTerm,
-  sort,
-}: {
-  searchTerm: string;
-  sort: string;
-}) {
-  const [showAgents, setShowAgents] = useState(true);
-  const [showCreators, setShowCreators] = useState(true);
-  const [agents, setAgents] = useState<any[]>([]);
-  const [creators, setCreators] = useState<any[]>([]);
-  const [isLoading, setIsLoading] = useState(true);
-  const api = useBackendAPI();
-
-  useEffect(() => {
-    const fetchData = async () => {
-      setIsLoading(true);
-
-      try {
-        const [agentsRes, creatorsRes] = await Promise.all([
-          api.getStoreAgents({
-            search_query: searchTerm,
-            sorted_by: sort,
-          }),
-          api.getStoreCreators({
-            search_query: searchTerm,
-          }),
-        ]);
-
-        setAgents(agentsRes.agents || []);
-        setCreators(creatorsRes.creators || []);
-      } catch (error) {
-        console.error("Error fetching data:", error);
-      } finally {
-        setIsLoading(false);
-      }
-    };
-
-    fetchData();
-  }, [searchTerm, sort]);
-
-  const agentsCount = agents.length;
-  const creatorsCount = creators.length;
-  const totalCount = agentsCount + creatorsCount;
-
-  const handleFilterChange = (value: string) => {
-    if (value === "agents") {
-      setShowAgents(true);
-      setShowCreators(false);
-    } else if (value === "creators") {
-      setShowAgents(false);
-      setShowCreators(true);
-    } else {
-      setShowAgents(true);
-      setShowCreators(true);
-    }
-  };
-
-  const handleSortChange = (sortValue: string) => {
-    let sortBy = "recent";
-    if (sortValue === "runs") {
-      sortBy = "runs";
-    } else if (sortValue === "rating") {
-      sortBy = "rating";
-    }
-
-    const sortedAgents = [...agents].sort((a, b) => {
-      if (sortBy === "runs") {
-        return b.runs - a.runs;
-      } else if (sortBy === "rating") {
-        return b.rating - a.rating;
-      } else {
-        return (
-          new Date(b.updated_at).getTime() - new Date(a.updated_at).getTime()
-        );
-      }
-    });
-
-    const sortedCreators = [...creators].sort((a, b) => {
-      if (sortBy === "runs") {
-        return b.agent_runs - a.agent_runs;
-      } else if (sortBy === "rating") {
-        return b.agent_rating - a.agent_rating;
-      } else {
-        // Creators don't have updated_at, sort by number of agents as fallback
-        return b.num_agents - a.num_agents;
-      }
-    });
-
-    setAgents(sortedAgents);
-    setCreators(sortedCreators);
-  };
-
-  return (
-    <div className="w-full">
-      <div className="mx-auto min-h-screen max-w-[1440px] px-10 lg:min-w-[1440px]">
-        <div className="mt-8 flex items-center">
-          <div className="flex-1">
-            <h2 className="font-geist text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
-              Results for:
-            </h2>
-            <h1 className="font-poppins text-2xl font-semibold leading-[32px] text-neutral-800 dark:text-neutral-100">
-              {searchTerm}
-            </h1>
-          </div>
-          <div className="flex-none">
-            <SearchBar width="w-[439px]" height="h-[60px]" />
-          </div>
-        </div>
-
-        {isLoading ? (
-          <div className="mt-20 flex flex-col items-center justify-center">
-            <p className="text-neutral-500 dark:text-neutral-400">Loading...</p>
-          </div>
-        ) : totalCount > 0 ? (
-          <>
-            <div className="mt-[36px] flex items-center justify-between">
-              <SearchFilterChips
-                totalCount={totalCount}
-                agentsCount={agentsCount}
-                creatorsCount={creatorsCount}
-                onFilterChange={handleFilterChange}
-              />
-              <SortDropdown onSort={handleSortChange} />
-            </div>
-            {/* Content section */}
-            <div className="min-h-[500px] max-w-[1440px]">
-              {showAgents && agentsCount > 0 && (
-                <div className="mt-[36px]">
-                  <AgentsSection
-                    agents={agents}
-                    sectionTitle="Agents"
-                    className="font-[Large-Poppins] text-[18px] font-semibold leading-[28px]"
-                  />
-                </div>
-              )}
-
-              {showAgents && agentsCount > 0 && creatorsCount > 0 && (
-                <Separator />
-              )}
-              {showCreators && creatorsCount > 0 && (
-                <FeaturedCreators
-                  featuredCreators={creators}
-                  title="Creators"
-                />
-              )}
-            </div>
-          </>
-        ) : (
-          <div className="mt-20 flex flex-col items-center justify-center">
-            <h3 className="mb-2 text-xl font-medium text-neutral-600 dark:text-neutral-300">
-              No results found
-            </h3>
-            <p className="text-neutral-500 dark:text-neutral-400">
-              Try adjusting your search terms or filters
-            </p>
-          </div>
-        )}
-      </div>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/ConnectionLine.tsx b/autogpt_platform/frontend/src/components/ConnectionLine.tsx
index 655d5bef19bc..0a790aedd42e 100644
--- a/autogpt_platform/frontend/src/components/ConnectionLine.tsx
+++ b/autogpt_platform/frontend/src/components/ConnectionLine.tsx
@@ -1,11 +1,12 @@
 import {
   BaseEdge,
   ConnectionLineComponentProps,
+  Node,
   getBezierPath,
   Position,
 } from "@xyflow/react";
 
-const ConnectionLine: React.FC<ConnectionLineComponentProps> = ({
+export default function ConnectionLine<NodeType extends Node>({
   fromPosition,
   fromHandle,
   fromX,
@@ -13,11 +14,11 @@ const ConnectionLine: React.FC<ConnectionLineComponentProps> = ({
   toPosition,
   toX,
   toY,
-}) => {
+}: ConnectionLineComponentProps<NodeType>) {
   const sourceX =
     fromPosition === Position.Right
-      ? fromX + (fromHandle?.width! / 2 - 5)
-      : fromX - (fromHandle?.width! / 2 - 5);
+      ? fromX + ((fromHandle?.width ?? 0) / 2 - 5)
+      : fromX - ((fromHandle?.width ?? 0) / 2 - 5);
 
   const [path] = getBezierPath({
     sourceX: sourceX,
@@ -29,6 +30,4 @@ const ConnectionLine: React.FC<ConnectionLineComponentProps> = ({
   });
 
   return <BaseEdge path={path} style={{ strokeWidth: 2, stroke: "#555" }} />;
-};
-
-export default ConnectionLine;
+}
diff --git a/autogpt_platform/frontend/src/components/CustomEdge.tsx b/autogpt_platform/frontend/src/components/CustomEdge.tsx
index 4f0d3def7d01..fd6241bc4535 100644
--- a/autogpt_platform/frontend/src/components/CustomEdge.tsx
+++ b/autogpt_platform/frontend/src/components/CustomEdge.tsx
@@ -1,4 +1,10 @@
-import React, { useCallback, useContext, useEffect, useState } from "react";
+import React, {
+  useCallback,
+  useContext,
+  useEffect,
+  useState,
+  useRef,
+} from "react";
 import {
   BaseEdge,
   EdgeLabelRenderer,
@@ -12,14 +18,15 @@ import "./customedge.css";
 import { X } from "lucide-react";
 import { useBezierPath } from "@/hooks/useBezierPath";
 import { FlowContext } from "./Flow";
+import { NodeExecutionResult } from "@/lib/autogpt-server-api";
 
 export type CustomEdgeData = {
   edgeColor: string;
   sourcePos?: XYPosition;
   isStatic?: boolean;
-  beadUp?: number;
-  beadDown?: number;
-  beadData?: any[];
+  beadUp: number;
+  beadDown: number;
+  beadData?: Map<string, NodeExecutionResult["status"]>;
 };
 
 type Bead = {
@@ -40,12 +47,12 @@ export function CustomEdge({
   targetY,
   markerEnd,
 }: EdgeProps<CustomEdge>) {
-  const [isHovered, setIsHovered] = useState(false);
   const [beads, setBeads] = useState<{
     beads: Bead[];
     created: number;
     destroyed: number;
   }>({ beads: [], created: 0, destroyed: 0 });
+  const beadsRef = useRef(beads);
   const { svgPath, length, getPointForT, getTForDistance } = useBezierPath(
     sourceX - 5,
     sourceY - 5,
@@ -87,93 +94,80 @@ export function CustomEdge({
     [getTForDistance, length, visualizeBeads],
   );
 
+  beadsRef.current = beads;
   useEffect(() => {
-    if (data?.beadUp === 0 && data?.beadDown === 0) {
+    const beadUp: number = data?.beadUp ?? 0;
+    const beadDown: number = data?.beadDown ?? 0;
+
+    if (
+      beadUp === 0 &&
+      beadDown === 0 &&
+      (beads.created > 0 || beads.destroyed > 0)
+    ) {
       setBeads({ beads: [], created: 0, destroyed: 0 });
       return;
     }
 
-    const beadUp = data?.beadUp!;
-
     // Add beads
-    setBeads(({ beads, created, destroyed }) => {
-      const newBeads = [];
-      for (let i = 0; i < beadUp - created; i++) {
-        newBeads.push({ t: 0, targetT: 0, startTime: Date.now() });
-      }
-
-      const b = setTargetPositions([...beads, ...newBeads]);
-      return { beads: b, created: beadUp, destroyed };
-    });
-
-    // Remove beads if not animating
-    if (visualizeBeads !== "animate") {
+    if (beadUp > beads.created) {
       setBeads(({ beads, created, destroyed }) => {
-        let destroyedCount = 0;
-
-        const newBeads = beads
-          .map((bead) => ({ ...bead }))
-          .filter((bead, index) => {
-            const beadDown = data?.beadDown!;
-
-            // Remove always one less bead in case of static edge, so it stays at the connection point
-            const removeCount = beadDown - destroyed - (data?.isStatic ? 1 : 0);
-            if (bead.t >= bead.targetT && index < removeCount) {
-              destroyedCount++;
-              return false;
-            }
-            return true;
-          });
+        const newBeads = [];
+        for (let i = 0; i < beadUp - created; i++) {
+          newBeads.push({ t: 0, targetT: 0, startTime: Date.now() });
+        }
 
-        return {
-          beads: setTargetPositions(newBeads),
-          created,
-          destroyed: destroyed + destroyedCount,
-        };
+        const b = setTargetPositions([...beads, ...newBeads]);
+        return { beads: b, created: beadUp, destroyed };
       });
-      return;
     }
 
     // Animate and remove beads
-    const interval = setInterval(() => {
-      setBeads(({ beads, created, destroyed }) => {
-        let destroyedCount = 0;
-
-        const newBeads = beads
-          .map((bead) => {
-            const progressIncrement = deltaTime / animationDuration;
-            const t = Math.min(
-              bead.t + bead.targetT * progressIncrement,
-              bead.targetT,
-            );
-
-            return {
-              ...bead,
-              t,
-            };
-          })
-          .filter((bead, index) => {
-            const beadDown = data?.beadDown!;
-
-            // Remove always one less bead in case of static edge, so it stays at the connection point
-            const removeCount = beadDown - destroyed - (data?.isStatic ? 1 : 0);
-            if (bead.t >= bead.targetT && index < removeCount) {
-              destroyedCount++;
-              return false;
-            }
-            return true;
-          });
-
-        return {
-          beads: setTargetPositions(newBeads),
-          created,
-          destroyed: destroyed + destroyedCount,
-        };
-      });
-    }, deltaTime);
+    const interval = setInterval(
+      ({ current: beads }) => {
+        // If there are no beads visible or moving, stop re-rendering
+        if (
+          (beadUp === beads.created && beads.created === beads.destroyed) ||
+          beads.beads.every((bead) => bead.t >= bead.targetT)
+        ) {
+          clearInterval(interval);
+          return;
+        }
+
+        setBeads(({ beads, created, destroyed }) => {
+          let destroyedCount = 0;
+
+          const newBeads = beads
+            .map((bead) => {
+              const progressIncrement = deltaTime / animationDuration;
+              const t = Math.min(
+                bead.t + bead.targetT * progressIncrement,
+                bead.targetT,
+              );
+
+              return { ...bead, t };
+            })
+            .filter((bead, index) => {
+              const removeCount = beadDown - destroyed;
+              if (bead.t >= bead.targetT && index < removeCount) {
+                destroyedCount++;
+                return false;
+              }
+              return true;
+            });
+
+          return {
+            beads: setTargetPositions(newBeads),
+            created,
+            destroyed: destroyed + destroyedCount,
+          };
+        });
+      },
+      deltaTime,
+      beadsRef,
+    );
 
     return () => clearInterval(interval);
-  }, [data, setTargetPositions, visualizeBeads]);
+  }, [data?.beadUp, data?.beadDown, setTargetPositions, visualizeBeads]);
 
   const middle = getPointForT(0.5);
 
@@ -182,13 +176,7 @@ export function CustomEdge({
       <BaseEdge
         path={svgPath}
         markerEnd={markerEnd}
-        style={{
-          strokeWidth: (isHovered ? 3 : 2) + (data?.isStatic ? 0.5 : 0),
-          stroke:
-            (data?.edgeColor ?? "#555555") +
-            (selected || isHovered ? "" : "80"),
-          strokeDasharray: data?.isStatic ? "5 3" : "0",
-        }}
+        className={`transition-all duration-200 ${data?.isStatic ? "[stroke-dasharray:5_3]" : "[stroke-dasharray:0]"} [stroke-width:${data?.isStatic ? 2.5 : 2}px] hover:[stroke-width:${data?.isStatic ? 3.5 : 3}px] ${selected ? `[stroke:${data?.edgeColor ?? "#555555"}]` : `[stroke:${data?.edgeColor ?? "#555555"}80] hover:[stroke:${data?.edgeColor ?? "#555555"}]`}`}
       />
       <path
         d={svgPath}
@@ -196,8 +184,6 @@ export function CustomEdge({
         strokeOpacity={0}
         strokeWidth={20}
         className="react-flow__edge-interaction"
-        onMouseEnter={() => setIsHovered(true)}
-        onMouseLeave={() => setIsHovered(false)}
       />
       <EdgeLabelRenderer>
         <div
@@ -209,9 +195,7 @@ export function CustomEdge({
           className="edge-label-renderer"
         >
           <button
-            onMouseEnter={() => setIsHovered(true)}
-            onMouseLeave={() => setIsHovered(false)}
-            className={`edge-label-button ${isHovered ? "visible" : ""}`}
+            className="edge-label-button opacity-0 transition-opacity duration-200 hover:opacity-100"
             onClick={onEdgeRemoveClick}
           >
             <X className="size-4" />
diff --git a/autogpt_platform/frontend/src/components/CustomNode.tsx b/autogpt_platform/frontend/src/components/CustomNode.tsx
index 735abe55510f..ac6bba0bb487 100644
--- a/autogpt_platform/frontend/src/components/CustomNode.tsx
+++ b/autogpt_platform/frontend/src/components/CustomNode.tsx
@@ -27,10 +27,11 @@ import {
   cn,
   getValue,
   hasNonNullNonObjectValue,
+  isObject,
   parseKeys,
   setNestedProperty,
 } from "@/lib/utils";
-import { Button } from "@/components/ui/button";
+import { Button } from "@/components/atoms/Button/Button";
 import { Switch } from "@/components/ui/switch";
 import { TextRenderer } from "@/components/ui/render";
 import { history } from "./history";
@@ -53,6 +54,10 @@ import {
   CopyIcon,
   ExitIcon,
 } from "@radix-ui/react-icons";
+import { Key } from "@phosphor-icons/react";
+import useCredits from "@/hooks/useCredits";
+import { getV1GetAyrshareSsoUrl } from "@/app/api/__generated__/endpoints/integrations/integrations";
+import { toast } from "@/components/molecules/Toast/use-toast";
 
 export type ConnectionData = Array<{
   edge_id: string;
@@ -80,6 +85,7 @@ export type CustomNodeData = {
   executionResults?: {
     execId: string;
     data: NodeExecutionResult["output_data"];
+    status: NodeExecutionResult["status"];
   }[];
   block_id: string;
   backend_id?: string;
@@ -90,804 +96,949 @@ export type CustomNodeData = {
 
 export type CustomNode = XYNode<CustomNodeData, "custom">;
 
-export function CustomNode({
-  data,
-  id,
-  width,
-  height,
-  selected,
-}: NodeProps<CustomNode>) {
-  const [isOutputOpen, setIsOutputOpen] = useState(data.isOutputOpen || false);
-  const [isAdvancedOpen, setIsAdvancedOpen] = useState(false);
-  const [isModalOpen, setIsModalOpen] = useState(false);
-  const [activeKey, setActiveKey] = useState<string | null>(null);
-  const [inputModalValue, setInputModalValue] = useState<string>("");
-  const [isOutputModalOpen, setIsOutputModalOpen] = useState(false);
-  const { updateNodeData, deleteElements, addNodes, getNode } = useReactFlow<
-    CustomNode,
-    Edge
-  >();
-  const isInitialSetup = useRef(true);
-  const flowContext = useContext(FlowContext);
-  const api = useBackendAPI();
-  let nodeFlowId = "";
-
-  if (data.uiType === BlockUIType.AGENT) {
-    // Display the graph's schema instead AgentExecutorBlock's schema.
-    data.inputSchema = data.hardcodedValues?.input_schema || {};
-    data.outputSchema = data.hardcodedValues?.output_schema || {};
-    nodeFlowId = data.hardcodedValues?.graph_id || nodeFlowId;
-  }
-
-  if (!flowContext) {
-    throw new Error("FlowContext consumer must be inside FlowEditor component");
-  }
-
-  const { setIsAnyModalOpen, getNextNodeId } = flowContext;
-
-  useEffect(() => {
-    if (data.executionResults || data.status) {
-      setIsOutputOpen(true);
+export const CustomNode = React.memo(
+  function CustomNode({ data, id, height, selected }: NodeProps<CustomNode>) {
+    const [isOutputOpen, setIsOutputOpen] = useState(
+      data.isOutputOpen || false,
+    );
+    const [isAdvancedOpen, setIsAdvancedOpen] = useState(false);
+    const [isModalOpen, setIsModalOpen] = useState(false);
+    const [activeKey, setActiveKey] = useState<string | null>(null);
+    const [inputModalValue, setInputModalValue] = useState<string>("");
+    const [isOutputModalOpen, setIsOutputModalOpen] = useState(false);
+    const { updateNodeData, deleteElements, addNodes, getNode } = useReactFlow<
+      CustomNode,
+      Edge
+    >();
+    const isInitialSetup = useRef(true);
+    const flowContext = useContext(FlowContext);
+    const api = useBackendAPI();
+    const { formatCredits } = useCredits();
+    const [isLoading, setIsLoading] = useState(false);
+
+    let nodeFlowId = "";
+
+    if (data.uiType === BlockUIType.AGENT) {
+      // Display the graph's schema instead AgentExecutorBlock's schema.
+      data.inputSchema = data.hardcodedValues?.input_schema || {};
+      data.outputSchema = data.hardcodedValues?.output_schema || {};
+      nodeFlowId = data.hardcodedValues?.graph_id || nodeFlowId;
     }
-  }, [data.executionResults, data.status]);
-
-  useEffect(() => {
-    setIsOutputOpen(data.isOutputOpen);
-  }, [data.isOutputOpen]);
-
-  useEffect(() => {
-    setIsAnyModalOpen?.(isModalOpen || isOutputModalOpen);
-  }, [isModalOpen, isOutputModalOpen, data, setIsAnyModalOpen]);
-
-  useEffect(() => {
-    isInitialSetup.current = false;
-  }, []);
-
-  const setHardcodedValues = (values: any) => {
-    updateNodeData(id, { hardcodedValues: values });
-  };
-
-  const setErrors = (errors: { [key: string]: string }) => {
-    updateNodeData(id, { errors });
-  };
-
-  const toggleOutput = (checked: boolean) => {
-    setIsOutputOpen(checked);
-  };
-
-  const toggleAdvancedSettings = (checked: boolean) => {
-    setIsAdvancedOpen(checked);
-  };
-
-  const generateOutputHandles = (
-    schema: BlockIORootSchema,
-    nodeType: BlockUIType,
-  ) => {
-    if (
-      !schema?.properties ||
-      nodeType === BlockUIType.OUTPUT ||
-      nodeType === BlockUIType.NOTE
-    )
-      return null;
-
-    const renderHandles = (
-      propSchema: { [key: string]: BlockIOSubSchema },
-      keyPrefix = "",
-      titlePrefix = "",
-    ) => {
-      return Object.keys(propSchema).map((propKey) => {
-        const fieldSchema = propSchema[propKey];
-        const fieldTitle =
-          titlePrefix + (fieldSchema.title || beautifyString(propKey));
 
-        return (
-          <div key={propKey}>
-            <NodeHandle
-              title={fieldTitle}
-              keyName={`${keyPrefix}${propKey}`}
-              isConnected={isOutputHandleConnected(propKey)}
-              schema={fieldSchema}
-              side="right"
-            />
-            {"properties" in fieldSchema &&
-              renderHandles(
-                fieldSchema.properties,
-                `${keyPrefix}${propKey}_#_`,
-                `${fieldTitle}.`,
-              )}
-          </div>
+    if (!flowContext) {
+      throw new Error(
+        "FlowContext consumer must be inside FlowEditor component",
+      );
+    }
+
+    const { setIsAnyModalOpen, getNextNodeId } = flowContext;
+
+    useEffect(() => {
+      if (data.executionResults || data.status) {
+        setIsOutputOpen(true);
+      }
+    }, [data.executionResults, data.status]);
+
+    useEffect(() => {
+      setIsOutputOpen(data.isOutputOpen);
+    }, [data.isOutputOpen]);
+
+    useEffect(() => {
+      setIsAnyModalOpen?.(isModalOpen || isOutputModalOpen);
+    }, [isModalOpen, isOutputModalOpen, data, setIsAnyModalOpen]);
+
+    const fillDefaults = useCallback((obj: any, schema: any) => {
+      // Iterate over the schema properties
+      for (const key in schema.properties) {
+        if (schema.properties.hasOwnProperty(key)) {
+          const propertySchema = schema.properties[key];
+
+          // If the property is not in the object, initialize it with the default value
+          if (!obj.hasOwnProperty(key)) {
+            if (propertySchema.default !== undefined) {
+              obj[key] = propertySchema.default;
+            } else if (propertySchema.type === "object") {
+              // Recursively fill defaults for nested objects
+              obj[key] = fillDefaults({}, propertySchema);
+            } else if (propertySchema.type === "array") {
+              // Recursively fill defaults for arrays
+              obj[key] = fillDefaults([], propertySchema);
+            }
+          } else {
+            // If the property exists, recursively fill defaults for nested objects/arrays
+            if (propertySchema.type === "object") {
+              obj[key] = fillDefaults(obj[key], propertySchema);
+            } else if (propertySchema.type === "array") {
+              obj[key] = fillDefaults(obj[key], propertySchema);
+            }
+          }
+        }
+      }
+
+      return obj;
+    }, []);
+
+    const setHardcodedValues = useCallback(
+      (values: any) => {
+        updateNodeData(id, { hardcodedValues: values });
+      },
+      [id, updateNodeData],
+    );
+
+    useEffect(() => {
+      isInitialSetup.current = false;
+      if (data.uiType === BlockUIType.AGENT) {
+        setHardcodedValues({
+          ...data.hardcodedValues,
+          inputs: fillDefaults(
+            data.hardcodedValues.inputs ?? {},
+            data.inputSchema,
+          ),
+        });
+      } else {
+        setHardcodedValues(
+          fillDefaults(data.hardcodedValues, data.inputSchema),
         );
-      });
+      }
+    }, []);
+
+    const setErrors = useCallback(
+      (errors: { [key: string]: string }) => {
+        updateNodeData(id, { errors });
+      },
+      [id, updateNodeData],
+    );
+
+    const toggleAdvancedSettings = (checked: boolean) => {
+      setIsAdvancedOpen(checked);
     };
 
-    return renderHandles(schema.properties);
-  };
-
-  const generateInputHandles = (
-    schema: BlockIORootSchema,
-    nodeType: BlockUIType,
-  ) => {
-    if (!schema?.properties) return null;
-    let keys = Object.entries(schema.properties);
-    switch (nodeType) {
-      case BlockUIType.NOTE:
-        // For NOTE blocks, don't render any input handles
-        const [noteKey, noteSchema] = keys[0];
-        return (
-          <div key={noteKey}>
-            <NodeTextBoxInput
-              className=""
-              selfKey={noteKey}
-              schema={noteSchema as BlockIOStringSubSchema}
-              value={getValue(noteKey, data.hardcodedValues)}
-              handleInputChange={handleInputChange}
-              handleInputClick={handleInputClick}
-              error={data.errors?.[noteKey] ?? ""}
-              displayName={noteSchema.title || beautifyString(noteKey)}
-            />
-          </div>
-        );
+    const generateOutputHandles = (
+      schema: BlockIORootSchema,
+      nodeType: BlockUIType,
+    ) => {
+      if (
+        !schema?.properties ||
+        nodeType === BlockUIType.OUTPUT ||
+        nodeType === BlockUIType.NOTE
+      )
+        return null;
+
+      const renderHandles = (
+        propSchema: { [key: string]: BlockIOSubSchema },
+        keyPrefix = "",
+        titlePrefix = "",
+      ) => {
+        return Object.keys(propSchema).map((propKey) => {
+          const fieldSchema = propSchema[propKey];
+          const fieldTitle =
+            titlePrefix + (fieldSchema.title || beautifyString(propKey));
 
-      default:
-        const getInputPropKey = (key: string) =>
-          nodeType == BlockUIType.AGENT ? `data.${key}` : key;
-
-        return keys.map(([propKey, propSchema]) => {
-          const isRequired = data.inputSchema.required?.includes(propKey);
-          const isAdvanced = propSchema.advanced;
-          const isHidden = propSchema.hidden;
-          const isConnectable =
-            // No input connection handles on INPUT and WEBHOOK blocks
-            ![
-              BlockUIType.INPUT,
-              BlockUIType.WEBHOOK,
-              BlockUIType.WEBHOOK_MANUAL,
-            ].includes(nodeType) &&
-            // No input connection handles for credentials
-            propKey !== "credentials" &&
-            // For OUTPUT blocks, only show the 'value' (hides 'name') input connection handle
-            !(nodeType == BlockUIType.OUTPUT && propKey == "name");
-          const isConnected = isInputHandleConnected(propKey);
           return (
-            !isHidden &&
-            (isRequired || isAdvancedOpen || isConnected || !isAdvanced) && (
-              <div key={propKey} data-id={`input-handle-${propKey}`}>
-                {isConnectable ? (
-                  <NodeHandle
-                    keyName={propKey}
-                    isConnected={isConnected}
-                    isRequired={isRequired}
-                    schema={propSchema}
-                    side="left"
-                  />
-                ) : (
-                  propKey != "credentials" && (
-                    <div className="flex gap-1">
-                      <span className="text-m green mb-0 text-gray-900 dark:text-gray-100">
-                        {propSchema.title || beautifyString(propKey)}
-                      </span>
-                      <SchemaTooltip description={propSchema.description} />
-                    </div>
-                  )
-                )}
-                {isConnected || (
-                  <NodeGenericInputField
-                    nodeId={id}
-                    propKey={getInputPropKey(propKey)}
-                    propSchema={propSchema}
-                    currentValue={getValue(
-                      getInputPropKey(propKey),
-                      data.hardcodedValues,
-                    )}
-                    connections={data.connections}
-                    handleInputChange={handleInputChange}
-                    handleInputClick={handleInputClick}
-                    errors={data.errors ?? {}}
-                    displayName={propSchema.title || beautifyString(propKey)}
-                  />
+            <div key={propKey}>
+              <NodeHandle
+                title={fieldTitle}
+                keyName={`${keyPrefix}${propKey}`}
+                isConnected={isOutputHandleConnected(propKey)}
+                schema={fieldSchema}
+                side="right"
+              />
+              {"properties" in fieldSchema &&
+                renderHandles(
+                  fieldSchema.properties,
+                  `${keyPrefix}${propKey}_#_`,
+                  `${fieldTitle}.`,
                 )}
-              </div>
-            )
+            </div>
           );
         });
-    }
-  };
-  const handleInputChange = (path: string, value: any) => {
-    const keys = parseKeys(path);
-    const newValues = JSON.parse(JSON.stringify(data.hardcodedValues));
-    let current = newValues;
-
-    for (let i = 0; i < keys.length - 1; i++) {
-      const { key: currentKey, index } = keys[i];
-      if (index !== undefined) {
-        if (!current[currentKey]) current[currentKey] = [];
-        if (!current[currentKey][index]) current[currentKey][index] = {};
-        current = current[currentKey][index];
-      } else {
-        if (!current[currentKey]) current[currentKey] = {};
-        current = current[currentKey];
-      }
-    }
+      };
 
-    const lastKey = keys[keys.length - 1];
-    if (lastKey.index !== undefined) {
-      if (!current[lastKey.key]) current[lastKey.key] = [];
-      current[lastKey.key][lastKey.index] = value;
-    } else {
-      current[lastKey.key] = value;
-    }
+      return renderHandles(schema.properties);
+    };
 
-    if (!isInitialSetup.current) {
-      history.push({
-        type: "UPDATE_INPUT",
-        payload: { nodeId: id, oldValues: data.hardcodedValues, newValues },
-        undo: () => setHardcodedValues(data.hardcodedValues),
-        redo: () => setHardcodedValues(newValues),
-      });
-    }
+    const generateAyrshareSSOHandles = () => {
+      const handleSSOLogin = async () => {
+        setIsLoading(true);
+        try {
+          const {
+            data: { sso_url },
+          } = await getV1GetAyrshareSsoUrl();
+          const popup = window.open(sso_url, "_blank", "popup=true");
+          if (!popup) {
+            throw new Error(
+              "Please allow popups for this site to be able to login with Ayrshare",
+            );
+          }
+        } catch (error) {
+          toast({
+            title: "Error",
+            description: `Error getting SSO URL: ${error}`,
+            variant: "destructive",
+          });
+        } finally {
+          setIsLoading(false);
+        }
+      };
+
+      return (
+        <div className="flex flex-col gap-2">
+          <Button
+            type="button"
+            variant="outline"
+            className="w-full"
+            onClick={handleSSOLogin}
+            disabled={isLoading}
+          >
+            {isLoading ? (
+              "Loading..."
+            ) : (
+              <>
+                <Key className="mr-2 h-4 w-4" />
+                Connect Social Media Accounts
+              </>
+            )}
+          </Button>
+          <NodeHandle
+            title="SSO Token"
+            keyName="sso_token"
+            isConnected={false}
+            schema={{ type: "string" }}
+            side="right"
+          />
+        </div>
+      );
+    };
 
-    setHardcodedValues(newValues);
-    const errors = data.errors || {};
-    // Remove error with the same key
-    setNestedProperty(errors, path, null);
-    setErrors({ ...errors });
-  };
+    const generateInputHandles = (
+      schema: BlockIORootSchema,
+      nodeType: BlockUIType,
+    ) => {
+      if (!schema?.properties) return null;
+      const keys = Object.entries(schema.properties);
+      switch (nodeType) {
+        case BlockUIType.NOTE:
+          // For NOTE blocks, don't render any input handles
+          const [noteKey, noteSchema] = keys[0];
+          return (
+            <div key={noteKey}>
+              <NodeTextBoxInput
+                className=""
+                selfKey={noteKey}
+                schema={noteSchema as BlockIOStringSubSchema}
+                value={getValue(noteKey, data.hardcodedValues)}
+                handleInputChange={handleInputChange}
+                handleInputClick={handleInputClick}
+                error={data.errors?.[noteKey] ?? ""}
+                displayName={noteSchema.title || beautifyString(noteKey)}
+              />
+            </div>
+          );
 
-  const isInputHandleConnected = (key: string) => {
-    return (
-      data.connections &&
-      data.connections.some((conn: any) => {
-        if (typeof conn === "string") {
-          const [_source, target] = conn.split(" -> ");
-          return target.includes(key) && target.includes(data.title);
+        default:
+          const getInputPropKey = (key: string) =>
+            nodeType == BlockUIType.AGENT ? `inputs.${key}` : key;
+
+          return keys.map(([propKey, propSchema]) => {
+            const isRequired = data.inputSchema.required?.includes(propKey);
+            const isAdvanced = propSchema.advanced;
+            const isHidden = propSchema.hidden;
+            const isConnectable =
+              // No input connection handles on INPUT and WEBHOOK blocks
+              ![
+                BlockUIType.INPUT,
+                BlockUIType.WEBHOOK,
+                BlockUIType.WEBHOOK_MANUAL,
+              ].includes(nodeType) &&
+              // No input connection handles for credentials
+              propKey !== "credentials" &&
+              !propKey.endsWith("_credentials") &&
+              // For OUTPUT blocks, only show the 'value' (hides 'name') input connection handle
+              !(nodeType == BlockUIType.OUTPUT && propKey == "name");
+            const isConnected = isInputHandleConnected(propKey);
+            return (
+              !isHidden &&
+              (isRequired || isAdvancedOpen || isConnected || !isAdvanced) && (
+                <div key={propKey} data-id={`input-handle-${propKey}`}>
+                  {isConnectable &&
+                  !(
+                    "oneOf" in propSchema &&
+                    propSchema.oneOf &&
+                    "discriminator" in propSchema &&
+                    propSchema.discriminator
+                  ) ? (
+                    <NodeHandle
+                      keyName={propKey}
+                      isConnected={isConnected}
+                      isRequired={isRequired}
+                      schema={propSchema}
+                      side="left"
+                    />
+                  ) : (
+                    propKey !== "credentials" &&
+                    !propKey.endsWith("_credentials") && (
+                      <div className="flex gap-1">
+                        <span className="text-m green mb-0 text-gray-900 dark:text-gray-100">
+                          {propSchema.title || beautifyString(propKey)}
+                        </span>
+                        <SchemaTooltip description={propSchema.description} />
+                      </div>
+                    )
+                  )}
+                  {isConnected || (
+                    <NodeGenericInputField
+                      nodeId={id}
+                      propKey={getInputPropKey(propKey)}
+                      propSchema={propSchema}
+                      currentValue={getValue(
+                        getInputPropKey(propKey),
+                        data.hardcodedValues,
+                      )}
+                      connections={data.connections}
+                      handleInputChange={handleInputChange}
+                      handleInputClick={handleInputClick}
+                      errors={data.errors ?? {}}
+                      displayName={propSchema.title || beautifyString(propKey)}
+                    />
+                  )}
+                </div>
+              )
+            );
+          });
+      }
+    };
+    const handleInputChange = useCallback(
+      (path: string, value: any) => {
+        const keys = parseKeys(path);
+        const newValues = JSON.parse(JSON.stringify(data.hardcodedValues));
+        let current = newValues;
+
+        for (let i = 0; i < keys.length - 1; i++) {
+          const { key: currentKey, index } = keys[i];
+          if (index !== undefined) {
+            if (!current[currentKey]) current[currentKey] = [];
+            if (!current[currentKey][index]) current[currentKey][index] = {};
+            current = current[currentKey][index];
+          } else {
+            if (!current[currentKey]) current[currentKey] = {};
+            current = current[currentKey];
+          }
         }
-        return conn.target === id && conn.targetHandle === key;
-      })
-    );
-  };
 
-  const isOutputHandleConnected = (key: string) => {
-    return (
-      data.connections &&
-      data.connections.some((conn: any) => {
-        if (typeof conn === "string") {
-          const [source, _target] = conn.split(" -> ");
-          return source.includes(key) && source.includes(data.title);
+        const lastKey = keys[keys.length - 1];
+        if (lastKey.index !== undefined) {
+          if (!current[lastKey.key]) current[lastKey.key] = [];
+          current[lastKey.key][lastKey.index] = value;
+        } else {
+          current[lastKey.key] = value;
+        }
+
+        if (!isInitialSetup.current) {
+          history.push({
+            type: "UPDATE_INPUT",
+            payload: { nodeId: id, oldValues: data.hardcodedValues, newValues },
+            undo: () => setHardcodedValues(data.hardcodedValues),
+            redo: () => setHardcodedValues(newValues),
+          });
         }
-        return conn.source === id && conn.sourceHandle === key;
-      })
+
+        setHardcodedValues(newValues);
+        const errors = data.errors || {};
+        // Remove error with the same key
+        setNestedProperty(errors, path, null);
+        setErrors({ ...errors });
+      },
+      [data.hardcodedValues, id, setHardcodedValues, data.errors, setErrors],
     );
-  };
-
-  const handleInputClick = (key: string) => {
-    console.debug(`Opening modal for key: ${key}`);
-    setActiveKey(key);
-    const value = getValue(key, data.hardcodedValues);
-    setInputModalValue(
-      typeof value === "object" ? JSON.stringify(value, null, 2) : value,
+
+    const isInputHandleConnected = (key: string) => {
+      return (
+        data.connections &&
+        data.connections.some((conn: any) => {
+          if (typeof conn === "string") {
+            const [_source, target] = conn.split(" -> ");
+            return target.includes(key) && target.includes(data.title);
+          }
+          return conn.target === id && conn.targetHandle === key;
+        })
+      );
+    };
+
+    const isOutputHandleConnected = (key: string) => {
+      return (
+        data.connections &&
+        data.connections.some((conn: any) => {
+          if (typeof conn === "string") {
+            const [source, _target] = conn.split(" -> ");
+            return source.includes(key) && source.includes(data.title);
+          }
+          return conn.source === id && conn.sourceHandle === key;
+        })
+      );
+    };
+
+    const handleInputClick = useCallback(
+      (key: string) => {
+        console.debug(`Opening modal for key: ${key}`);
+        setActiveKey(key);
+        const value = getValue(key, data.hardcodedValues);
+        setInputModalValue(
+          typeof value === "object" ? JSON.stringify(value, null, 2) : value,
+        );
+        setIsModalOpen(true);
+      },
+      [data.hardcodedValues],
     );
-    setIsModalOpen(true);
-  };
-
-  const handleModalSave = (value: string) => {
-    if (activeKey) {
-      try {
-        const parsedValue = JSON.parse(value);
-        handleInputChange(activeKey, parsedValue);
-      } catch (error) {
-        handleInputChange(activeKey, value);
-      }
-    }
-    setIsModalOpen(false);
-    setActiveKey(null);
-  };
 
-  const handleOutputClick = () => {
-    setIsOutputModalOpen(true);
-  };
+    const handleModalSave = useCallback(
+      (value: string) => {
+        if (activeKey) {
+          try {
+            const parsedValue = JSON.parse(value);
+            // Validate that the parsed value is safe before using it
+            if (isObject(parsedValue) || Array.isArray(parsedValue)) {
+              handleInputChange(activeKey, parsedValue);
+            } else {
+              // For primitive values, use the original string
+              handleInputChange(activeKey, value);
+            }
+          } catch {
+            // If JSON parsing fails, treat as plain text
+            handleInputChange(activeKey, value);
+          }
+        }
+        setIsModalOpen(false);
+        setActiveKey(null);
+      },
+      [activeKey, handleInputChange],
+    );
 
-  const deleteNode = useCallback(() => {
-    console.debug("Deleting node:", id);
+    const handleOutputClick = () => {
+      setIsOutputModalOpen(true);
+    };
 
-    // Remove the node
-    deleteElements({ nodes: [{ id }] });
-  }, [id, deleteElements]);
+    const deleteNode = useCallback(() => {
+      console.debug("Deleting node:", id);
 
-  const copyNode = useCallback(() => {
-    const newId = getNextNodeId();
-    const currentNode = getNode(id);
+      // Remove the node
+      deleteElements({ nodes: [{ id }] });
+    }, [id, deleteElements]);
 
-    if (!currentNode) {
-      console.error("Cannot copy node: current node not found");
-      return;
-    }
+    const copyNode = useCallback(() => {
+      const newId = getNextNodeId();
+      const currentNode = getNode(id);
 
-    const verticalOffset = height ?? 100;
+      if (!currentNode) {
+        console.error("Cannot copy node: current node not found");
+        return;
+      }
 
-    const newNode: CustomNode = {
-      id: newId,
-      type: currentNode.type,
-      position: {
-        x: currentNode.position.x,
-        y: currentNode.position.y - verticalOffset - 20,
-      },
-      data: {
-        ...data,
-        title: `${data.title} (Copy)`,
-        block_id: data.block_id,
-        connections: [],
-        isOutputOpen: false,
-      },
-    };
+      const verticalOffset = height ?? 100;
+
+      const newNode: CustomNode = {
+        id: newId,
+        type: currentNode.type,
+        position: {
+          x: currentNode.position.x,
+          y: currentNode.position.y - verticalOffset - 20,
+        },
+        data: {
+          ...data,
+          title: `${data.title} (Copy)`,
+          block_id: data.block_id,
+          connections: [],
+          isOutputOpen: false,
+        },
+      };
+
+      addNodes(newNode);
 
-    addNodes(newNode);
-
-    history.push({
-      type: "ADD_NODE",
-      payload: { node: { ...newNode, ...newNode.data } as CustomNodeData },
-      undo: () => deleteElements({ nodes: [{ id: newId }] }),
-      redo: () => addNodes(newNode),
-    });
-  }, [id, data, height, addNodes, deleteElements, getNode, getNextNodeId]);
-
-  const hasConfigErrors = data.errors && hasNonNullNonObjectValue(data.errors);
-  const outputData = data.executionResults?.at(-1)?.data;
-  const hasOutputError =
-    typeof outputData === "object" &&
-    outputData !== null &&
-    "error" in outputData;
-
-  useEffect(() => {
-    if (hasConfigErrors) {
-      const filteredErrors = Object.fromEntries(
-        Object.entries(data.errors || {}).filter(([, value]) =>
-          hasNonNullNonObjectValue(value),
-        ),
-      );
-      console.error(
-        "Block configuration errors for",
-        data.title,
-        ":",
-        filteredErrors,
-      );
-    }
-    if (hasOutputError) {
-      console.error(
-        "Block output contains error for",
-        data.title,
-        ":",
-        outputData.error,
-      );
-    }
-  }, [hasConfigErrors, hasOutputError, data.errors, outputData, data.title]);
-
-  const blockClasses = [
-    "custom-node",
-    "dark-theme",
-    "rounded-xl",
-    "bg-white/[.9] dark:bg-gray-800/[.9]",
-    "border border-gray-300 dark:border-gray-600",
-    data.uiType === BlockUIType.NOTE ? "w-[300px]" : "w-[500px]",
-    data.uiType === BlockUIType.NOTE
-      ? "bg-yellow-100 dark:bg-yellow-900"
-      : "bg-white dark:bg-gray-800",
-    selected ? "shadow-2xl" : "",
-  ]
-    .filter(Boolean)
-    .join(" ");
-
-  const errorClass =
-    hasConfigErrors || hasOutputError
-      ? "border-red-200 dark:border-red-800 border-2"
-      : "";
-
-  const statusClass = (() => {
-    if (hasConfigErrors || hasOutputError)
-      return "border-red-200 dark:border-red-800 border-4";
-    switch (data.status?.toLowerCase()) {
-      case "completed":
-        return "border-green-200 dark:border-green-800 border-4";
-      case "running":
-        return "border-yellow-200 dark:border-yellow-800 border-4";
-      case "failed":
+      history.push({
+        type: "ADD_NODE",
+        payload: { node: { ...newNode, ...newNode.data } as CustomNodeData },
+        undo: () => deleteElements({ nodes: [{ id: newId }] }),
+        redo: () => addNodes(newNode),
+      });
+    }, [id, data, height, addNodes, deleteElements, getNode, getNextNodeId]);
+
+    const hasConfigErrors =
+      data.errors && hasNonNullNonObjectValue(data.errors);
+    const outputData = data.executionResults?.at(-1)?.data;
+    const hasOutputError =
+      typeof outputData === "object" &&
+      outputData !== null &&
+      "error" in outputData;
+
+    useEffect(() => {
+      if (hasConfigErrors) {
+        const filteredErrors = Object.fromEntries(
+          Object.entries(data.errors || {}).filter(([, value]) =>
+            hasNonNullNonObjectValue(value),
+          ),
+        );
+        console.error(
+          "Block configuration errors for",
+          data.title,
+          ":",
+          filteredErrors,
+        );
+      }
+      if (hasOutputError) {
+        console.error(
+          "Block output contains error for",
+          data.title,
+          ":",
+          outputData.error,
+        );
+      }
+    }, [hasConfigErrors, hasOutputError, data.errors, outputData, data.title]);
+
+    const blockClasses = [
+      "custom-node",
+      "dark-theme",
+      "rounded-xl",
+      "bg-white/[.9] dark:bg-gray-800/[.9]",
+      "border border-gray-300 dark:border-gray-600",
+      data.uiType === BlockUIType.NOTE ? "w-[300px]" : "w-[500px]",
+      data.uiType === BlockUIType.NOTE
+        ? "bg-yellow-100 dark:bg-yellow-900"
+        : "bg-white dark:bg-gray-800",
+      selected ? "shadow-2xl" : "",
+    ]
+      .filter(Boolean)
+      .join(" ");
+
+    const errorClass =
+      hasConfigErrors || hasOutputError
+        ? "border-red-200 dark:border-red-800 border-2"
+        : "";
+
+    const statusClass = (() => {
+      if (hasConfigErrors || hasOutputError)
         return "border-red-200 dark:border-red-800 border-4";
-      case "incomplete":
-        return "border-purple-200 dark:border-purple-800 border-4";
-      case "queued":
-        return "border-cyan-200 dark:border-cyan-800 border-4";
-      default:
-        return "";
-    }
-  })();
-
-  const statusBackgroundClass = (() => {
-    if (hasConfigErrors || hasOutputError) return "bg-red-200 dark:bg-red-800";
-    switch (data.status?.toLowerCase()) {
-      case "completed":
-        return "bg-green-200 dark:bg-green-800";
-      case "running":
-        return "bg-yellow-200 dark:bg-yellow-800";
-      case "failed":
+      switch (data.status?.toLowerCase()) {
+        case "completed":
+          return "border-green-200 dark:border-green-800 border-4";
+        case "running":
+          return "border-yellow-200 dark:border-yellow-800 border-4";
+        case "failed":
+          return "border-red-200 dark:border-red-800 border-4";
+        case "incomplete":
+          return "border-purple-200 dark:border-purple-800 border-4";
+        case "queued":
+          return "border-cyan-200 dark:border-cyan-800 border-4";
+        default:
+          return "";
+      }
+    })();
+
+    const statusBackgroundClass = (() => {
+      if (hasConfigErrors || hasOutputError)
         return "bg-red-200 dark:bg-red-800";
-      case "incomplete":
-        return "bg-purple-200 dark:bg-purple-800";
-      case "queued":
-        return "bg-cyan-200 dark:bg-cyan-800";
-      default:
-        return "";
-    }
-  })();
+      switch (data.status?.toLowerCase()) {
+        case "completed":
+          return "bg-green-200 dark:bg-green-800";
+        case "running":
+          return "bg-yellow-200 dark:bg-yellow-800";
+        case "failed":
+          return "bg-red-200 dark:bg-red-800";
+        case "incomplete":
+          return "bg-purple-200 dark:bg-purple-800";
+        case "queued":
+          return "bg-cyan-200 dark:bg-cyan-800";
+        default:
+          return "";
+      }
+    })();
 
-  const hasAdvancedFields =
-    data.inputSchema &&
-    Object.entries(data.inputSchema.properties).some(([key, value]) => {
-      return (
-        value.advanced === true && !data.inputSchema.required?.includes(key)
-      );
-    });
+    const hasAdvancedFields =
+      data.inputSchema &&
+      Object.entries(data.inputSchema.properties).some(([key, value]) => {
+        return (
+          value.advanced === true && !data.inputSchema.required?.includes(key)
+        );
+      });
 
-  const inputValues = data.hardcodedValues;
+    const inputValues = data.hardcodedValues;
 
-  const isCostFilterMatch = (costFilter: any, inputValues: any): boolean => {
-    /*
+    const isCostFilterMatch = (costFilter: any, inputValues: any): boolean => {
+      /*
       Filter rules:
       - If costFilter is an object, then check if costFilter is the subset of inputValues
       - Otherwise, check if costFilter is equal to inputValues.
       - Undefined, null, and empty string are considered as equal.
     */
-    return typeof costFilter === "object" && typeof inputValues === "object"
-      ? Object.entries(costFilter).every(
-          ([k, v]) =>
-            (!v && !inputValues[k]) || isCostFilterMatch(v, inputValues[k]),
-        )
-      : costFilter === inputValues;
-  };
-
-  const blockCost =
-    data.blockCosts &&
-    data.blockCosts.find((cost) =>
-      isCostFilterMatch(cost.cost_filter, inputValues),
-    );
-
-  const [webhookStatus, setWebhookStatus] = useState<
-    "works" | "exists" | "broken" | "none" | "pending" | null
-  >(null);
-
-  useEffect(() => {
-    if (
-      ![BlockUIType.WEBHOOK, BlockUIType.WEBHOOK_MANUAL].includes(data.uiType)
-    )
-      return;
-    if (!data.webhook) {
-      setWebhookStatus("none");
-      return;
-    }
+      return typeof costFilter === "object" && typeof inputValues === "object"
+        ? Object.entries(costFilter).every(
+            ([k, v]) =>
+              (!v && !inputValues[k]) || isCostFilterMatch(v, inputValues[k]),
+          )
+        : costFilter === inputValues;
+    };
 
-    setWebhookStatus("pending");
-    api
-      .pingWebhook(data.webhook.id)
-      .then((pinged) => setWebhookStatus(pinged ? "works" : "exists"))
-      .catch((error: Error) =>
-        error.message.includes("ping timed out")
-          ? setWebhookStatus("broken")
-          : setWebhookStatus("none"),
+    const blockCost =
+      data.blockCosts &&
+      data.blockCosts.find((cost) =>
+        isCostFilterMatch(cost.cost_filter, inputValues),
       );
-  }, [data.uiType, data.webhook, api, setWebhookStatus]);
 
-  const webhookStatusDot = useMemo(
-    () =>
-      webhookStatus && (
-        <div
-          className={cn(
-            "size-4 rounded-full border-2",
-            {
-              pending: "animate-pulse border-gray-300 bg-gray-400",
-              works: "border-green-300 bg-green-400",
-              exists: "border-green-200 bg-green-300",
-              broken: "border-red-400 bg-red-500",
-              none: "border-gray-300 bg-gray-400",
-            }[webhookStatus],
-          )}
-          title={
-            {
-              pending: "Checking connection status...",
-              works: "Connected",
-              exists:
-                "Connected (but we could not verify the real-time status)",
-              broken: "The connected webhook is not working",
-              none: "Not connected. Fill out all the required block inputs and save the agent to connect.",
-            }[webhookStatus]
-          }
-        />
-      ),
-    [webhookStatus],
-  );
-
-  const LineSeparator = () => (
-    <div className="bg-white pt-6 dark:bg-gray-800">
-      <Separator.Root className="h-[1px] w-full bg-gray-300 dark:bg-gray-600"></Separator.Root>
-    </div>
-  );
-
-  const ContextMenuContent = () => (
-    <ContextMenu.Content className="z-10 rounded-xl border bg-white p-1 shadow-md dark:bg-gray-800">
-      <ContextMenu.Item
-        onSelect={copyNode}
-        className="flex cursor-pointer items-center rounded-md px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700"
-      >
-        <CopyIcon className="mr-2 h-5 w-5 dark:text-gray-100" />
-        <span className="dark:text-gray-100">Copy</span>
-      </ContextMenu.Item>
-      {nodeFlowId && (
+    const [webhookStatus, setWebhookStatus] = useState<
+      "works" | "exists" | "broken" | "none" | "pending" | null
+    >(null);
+
+    useEffect(() => {
+      if (
+        ![BlockUIType.WEBHOOK, BlockUIType.WEBHOOK_MANUAL].includes(data.uiType)
+      )
+        return;
+      if (!data.webhook) {
+        setWebhookStatus("none");
+        return;
+      }
+
+      setWebhookStatus("pending");
+      api
+        .pingWebhook(data.webhook.id)
+        .then((pinged) => setWebhookStatus(pinged ? "works" : "exists"))
+        .catch((error: Error) =>
+          error.message.includes("ping timed out")
+            ? setWebhookStatus("broken")
+            : setWebhookStatus("none"),
+        );
+    }, [data.uiType, data.webhook, api, setWebhookStatus]);
+
+    const webhookStatusDot = useMemo(
+      () =>
+        webhookStatus && (
+          <div
+            className={cn(
+              "size-4 rounded-full border-2",
+              {
+                pending: "animate-pulse border-gray-300 bg-gray-400",
+                works: "border-green-300 bg-green-400",
+                exists: "border-green-200 bg-green-300",
+                broken: "border-red-400 bg-red-500",
+                none: "border-gray-300 bg-gray-400",
+              }[webhookStatus],
+            )}
+            title={
+              {
+                pending: "Checking connection status...",
+                works: "Connected",
+                exists:
+                  "Connected (but we could not verify the real-time status)",
+                broken: "The connected webhook is not working",
+                none: "Not connected. Fill out all the required block inputs and save the agent to connect.",
+              }[webhookStatus]
+            }
+          />
+        ),
+      [webhookStatus],
+    );
+
+    const LineSeparator = () => (
+      <div className="bg-white pt-6 dark:bg-gray-800">
+        <Separator.Root className="h-[1px] w-full bg-gray-300 dark:bg-gray-600"></Separator.Root>
+      </div>
+    );
+
+    const ContextMenuContent = () => (
+      <ContextMenu.Content className="z-10 rounded-xl border bg-white p-1 shadow-md dark:bg-gray-800">
         <ContextMenu.Item
-          onSelect={() => window.open(`/build?flowID=${nodeFlowId}`)}
+          onSelect={copyNode}
           className="flex cursor-pointer items-center rounded-md px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700"
         >
-          <ExitIcon className="mr-2 h-5 w-5 dark:text-gray-100" />
-          <span className="dark:text-gray-100">Open agent</span>
+          <CopyIcon className="mr-2 h-5 w-5 dark:text-gray-100" />
+          <span className="dark:text-gray-100">Copy</span>
         </ContextMenu.Item>
-      )}
-      <ContextMenu.Separator className="my-1 h-px bg-gray-300 dark:bg-gray-600" />
-      <ContextMenu.Item
-        onSelect={deleteNode}
-        className="flex cursor-pointer items-center rounded-md px-3 py-2 text-red-500 hover:bg-gray-100 dark:hover:bg-gray-700"
-      >
-        <TrashIcon className="mr-2 h-5 w-5 text-red-500 dark:text-red-400" />
-        <span className="dark:text-red-400">Delete</span>
-      </ContextMenu.Item>
-    </ContextMenu.Content>
-  );
-
-  const onContextButtonTrigger = (e: React.MouseEvent) => {
-    e.preventDefault();
-    const rect = e.currentTarget.getBoundingClientRect();
-    const event = new MouseEvent("contextmenu", {
-      bubbles: true,
-      clientX: rect.left + rect.width / 2,
-      clientY: rect.top + rect.height / 2,
-    });
-    e.currentTarget.dispatchEvent(event);
-  };
-
-  const stripeColor = getPrimaryCategoryColor(data.categories);
-
-  const nodeContent = () => (
-    <div
-      className={`${blockClasses} ${errorClass} ${statusClass}`}
-      data-id={`custom-node-${id}`}
-      z-index={1}
-      data-blockid={data.block_id}
-      data-blockname={data.title}
-      data-blocktype={data.blockType}
-      data-nodetype={data.uiType}
-      data-category={data.categories[0]?.category.toLowerCase() || ""}
-      data-inputs={JSON.stringify(
-        Object.keys(data.inputSchema?.properties || {}),
-      )}
-      data-outputs={JSON.stringify(
-        Object.keys(data.outputSchema?.properties || {}),
-      )}
-    >
-      {/* Header */}
+        {nodeFlowId && (
+          <ContextMenu.Item
+            onSelect={() => window.open(`/build?flowID=${nodeFlowId}`)}
+            className="flex cursor-pointer items-center rounded-md px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700"
+          >
+            <ExitIcon className="mr-2 h-5 w-5 dark:text-gray-100" />
+            <span className="dark:text-gray-100">Open agent</span>
+          </ContextMenu.Item>
+        )}
+        <ContextMenu.Separator className="my-1 h-px bg-gray-300 dark:bg-gray-600" />
+        <ContextMenu.Item
+          onSelect={deleteNode}
+          className="flex cursor-pointer items-center rounded-md px-3 py-2 text-red-500 hover:bg-gray-100 dark:hover:bg-gray-700"
+        >
+          <TrashIcon className="mr-2 h-5 w-5 text-red-500 dark:text-red-400" />
+          <span className="dark:text-red-400">Delete</span>
+        </ContextMenu.Item>
+      </ContextMenu.Content>
+    );
+
+    const onContextButtonTrigger = (e: React.MouseEvent) => {
+      e.preventDefault();
+      const rect = e.currentTarget.getBoundingClientRect();
+      const event = new MouseEvent("contextmenu", {
+        bubbles: true,
+        clientX: rect.left + rect.width / 2,
+        clientY: rect.top + rect.height / 2,
+      });
+      e.currentTarget.dispatchEvent(event);
+    };
+
+    const stripeColor = getPrimaryCategoryColor(data.categories);
+
+    const nodeContent = () => (
       <div
-        className={`flex h-24 border-b border-gray-300 ${data.uiType === BlockUIType.NOTE ? "bg-yellow-100" : "bg-white"} space-x-1 rounded-t-xl`}
+        className={`${blockClasses} ${errorClass} ${statusClass}`}
+        data-id={`custom-node-${id}`}
+        id={data.block_id}
+        z-index={1}
+        data-testid={data.block_id}
+        data-blockid={data.block_id}
+        data-blockname={data.title}
+        data-blocktype={data.blockType}
+        data-nodetype={data.uiType}
+        data-category={data.categories[0]?.category.toLowerCase() || ""}
+        data-inputs={JSON.stringify(
+          Object.keys(data.inputSchema?.properties || {}),
+        )}
+        data-outputs={JSON.stringify(
+          Object.keys(data.outputSchema?.properties || {}),
+        )}
       >
-        {/* Color Stripe */}
-        <div className={`-ml-px h-full w-3 rounded-tl-xl ${stripeColor}`}></div>
-
-        <div className="flex w-full flex-col justify-start space-y-2.5 px-4 pt-4">
-          <div className="flex flex-row items-center space-x-2 font-semibold">
-            <h3 className="font-roboto text-lg">
-              <TextRenderer
-                value={beautifyString(
-                  data.blockType?.replace(/Block$/, "") || data.title,
-                )}
-                truncateLengthLimit={80}
-              />
-            </h3>
-            <span className="text-xs text-gray-500">#{id.split("-")[0]}</span>
+        {/* Header */}
+        <div
+          className={`flex h-24 border-b border-gray-300 ${data.uiType === BlockUIType.NOTE ? "bg-yellow-100" : "bg-white"} space-x-1 rounded-t-xl`}
+        >
+          {/* Color Stripe */}
+          <div
+            className={`-ml-px h-full w-3 rounded-tl-xl ${stripeColor}`}
+          ></div>
+
+          <div className="flex w-full flex-col justify-start space-y-2.5 px-4 pt-4">
+            <div className="flex flex-row items-center space-x-2 font-semibold">
+              <h3 className="font-roboto text-lg">
+                <TextRenderer
+                  value={beautifyString(
+                    data.blockType?.replace(/Block$/, "") || data.title,
+                  )}
+                  truncateLengthLimit={80}
+                />
+              </h3>
+              <span className="text-xs text-gray-500">#{id.split("-")[0]}</span>
 
-            <div className="w-auto grow" />
+              <div className="w-auto grow" />
 
-            {webhookStatusDot}
-            <button
-              aria-label="Options"
-              className="cursor-pointer rounded-full border-none bg-transparent p-1 hover:bg-gray-100"
-              onClick={onContextButtonTrigger}
-            >
-              <DotsVerticalIcon className="h-5 w-5" />
-            </button>
-          </div>
-          <div className="flex items-center space-x-2">
-            {blockCost && (
-              <div className="mr-3 text-base font-light">
-                <span className="ml-auto flex items-center">
-                  <IconCoin />{" "}
-                  <span className="mx-1 font-medium">
-                    {blockCost.cost_amount}
-                  </span>{" "}
-                  credits/{blockCost.cost_type}
-                </span>
-              </div>
-            )}
-            {data.categories.map((category) => (
-              <Badge
-                key={category.category}
-                variant="outline"
-                className={`${getPrimaryCategoryColor([category])} h-6 whitespace-nowrap rounded-full border border-gray-300 opacity-50`}
+              {webhookStatusDot}
+              <button
+                aria-label="Options"
+                className="cursor-pointer rounded-full border-none bg-transparent p-1 hover:bg-gray-100"
+                onClick={onContextButtonTrigger}
               >
-                {beautifyString(category.category.toLowerCase())}
-              </Badge>
-            ))}
+                <DotsVerticalIcon className="h-5 w-5" />
+              </button>
+            </div>
+            <div className="flex items-center space-x-2">
+              {blockCost && (
+                <div className="mr-3 text-base font-light">
+                  <span className="ml-auto flex items-center">
+                    <IconCoin />{" "}
+                    <span className="mx-1 font-medium">
+                      {formatCredits(blockCost.cost_amount)}
+                    </span>
+                    {" \/ "}
+                    {blockCost.cost_type}
+                  </span>
+                </div>
+              )}
+              {data.categories.map((category) => (
+                <Badge
+                  key={category.category}
+                  variant="outline"
+                  className={`${getPrimaryCategoryColor([category])} h-6 whitespace-nowrap rounded-full border border-gray-300 opacity-50`}
+                >
+                  {beautifyString(category.category.toLowerCase())}
+                </Badge>
+              ))}
+            </div>
           </div>
-        </div>
 
-        <ContextMenuContent />
-      </div>
+          <ContextMenuContent />
+        </div>
 
-      {/* Body */}
-      <div className="ml-5 mt-6 rounded-b-xl">
-        {/* Input Handles */}
-        {data.uiType !== BlockUIType.NOTE ? (
-          <div
-            className="flex w-fit items-start justify-between"
-            data-id="input-handles"
-          >
-            <div>
-              {data.uiType === BlockUIType.WEBHOOK_MANUAL &&
-                (data.webhook ? (
-                  <div className="nodrag mr-5 flex flex-col gap-1">
-                    Webhook URL:
-                    <div className="flex gap-2 rounded-md bg-gray-50 p-2">
-                      <code className="select-all text-sm">
-                        {data.webhook.url}
-                      </code>
-                      <Button
-                        variant="outline"
-                        size="icon"
-                        className="size-7 flex-none"
-                        onClick={() =>
-                          data.webhook &&
-                          navigator.clipboard.writeText(data.webhook.url)
-                        }
-                        title="Copy webhook URL"
-                      >
-                        <CopyIcon className="size-4" />
-                      </Button>
+        {/* Body */}
+        <div className="mx-5 my-6 rounded-b-xl">
+          {/* Input Handles */}
+          {data.uiType !== BlockUIType.NOTE ? (
+            <div data-id="input-handles">
+              <div>
+                {data.uiType === BlockUIType.WEBHOOK_MANUAL &&
+                  (data.webhook ? (
+                    <div className="nodrag mr-5 flex flex-col gap-1">
+                      Webhook URL:
+                      <div className="flex gap-2 rounded-md bg-gray-50 p-2">
+                        <code className="select-all text-sm">
+                          {data.webhook.url}
+                        </code>
+                        <Button
+                          variant="outline"
+                          size="icon"
+                          className="size-7 flex-none"
+                          onClick={() =>
+                            data.webhook &&
+                            navigator.clipboard.writeText(data.webhook.url)
+                          }
+                          title="Copy webhook URL"
+                        >
+                          <CopyIcon className="size-4" />
+                        </Button>
+                      </div>
                     </div>
-                  </div>
+                  ) : (
+                    <p className="italic text-gray-500">
+                      (A Webhook URL will be generated when you save the agent)
+                    </p>
+                  ))}
+                {data.uiType === BlockUIType.AYRSHARE ? (
+                  <>
+                    {generateAyrshareSSOHandles()}
+                    {generateInputHandles(
+                      data.inputSchema,
+                      BlockUIType.STANDARD,
+                    )}
+                  </>
                 ) : (
-                  <p className="italic text-gray-500">
-                    (A Webhook URL will be generated when you save the agent)
-                  </p>
-                ))}
+                  data.inputSchema &&
+                  generateInputHandles(data.inputSchema, data.uiType)
+                )}
+              </div>
+            </div>
+          ) : (
+            <div>
               {data.inputSchema &&
                 generateInputHandles(data.inputSchema, data.uiType)}
             </div>
-          </div>
-        ) : (
-          <div>
-            {data.inputSchema &&
-              generateInputHandles(data.inputSchema, data.uiType)}
-          </div>
-        )}
+          )}
 
-        {/* Advanced Settings */}
-        {data.uiType !== BlockUIType.NOTE && hasAdvancedFields && (
-          <>
-            <LineSeparator />
-            <div className="flex items-center justify-between pt-6">
-              Advanced
-              <Switch
-                onCheckedChange={toggleAdvancedSettings}
-                checked={isAdvancedOpen}
-                className="mr-5"
-              />
-            </div>
-          </>
-        )}
-        {/* Output Handles */}
-        {data.uiType !== BlockUIType.NOTE && (
-          <>
-            <LineSeparator />
-            <div className="flex items-start justify-end rounded-b-xl pb-2 pr-2 pt-6">
-              <div className="flex-none">
-                {data.outputSchema &&
-                  generateOutputHandles(data.outputSchema, data.uiType)}
-              </div>
-            </div>
-          </>
-        )}
-      </div>
-      {/* End Body */}
-      {/* Footer */}
-      <div className="flex rounded-b-xl">
-        {/* Display Outputs  */}
-        {isOutputOpen && data.uiType !== BlockUIType.NOTE && (
-          <div
-            data-id="latest-output"
-            className={cn(
-              "nodrag w-full overflow-hidden break-words",
-              statusBackgroundClass,
-            )}
-          >
-            {(data.executionResults?.length ?? 0) > 0 ? (
-              <div className="mt-0 rounded-b-xl bg-gray-50">
-                <LineSeparator />
-                <NodeOutputs
-                  title="Latest Output"
-                  truncateLongData
-                  data={data.executionResults!.at(-1)?.data || {}}
+          {/* Advanced Settings */}
+          {data.uiType !== BlockUIType.NOTE && hasAdvancedFields && (
+            <>
+              <LineSeparator />
+              <div className="flex items-center justify-between pt-6">
+                Advanced
+                <Switch
+                  onCheckedChange={toggleAdvancedSettings}
+                  checked={isAdvancedOpen}
                 />
-                <div className="flex justify-end">
-                  <Button
-                    variant="ghost"
-                    onClick={handleOutputClick}
-                    className="border border-gray-300"
-                  >
-                    View More
-                  </Button>
+              </div>
+            </>
+          )}
+          {/* Output Handles */}
+          {data.uiType !== BlockUIType.NOTE && (
+            <>
+              <LineSeparator />
+              <div className="flex items-start justify-end rounded-b-xl pt-6">
+                <div className="flex-none">
+                  {data.outputSchema &&
+                    generateOutputHandles(data.outputSchema, data.uiType)}
                 </div>
               </div>
-            ) : (
-              <div className="mt-0 min-h-4 rounded-b-xl bg-white"></div>
-            )}
+            </>
+          )}
+        </div>
+        {/* End Body */}
+        {/* Footer */}
+        <div className="flex rounded-b-xl">
+          {/* Display Outputs  */}
+          {isOutputOpen && data.uiType !== BlockUIType.NOTE && (
             <div
+              data-id="latest-output"
               className={cn(
-                "flex min-h-12 items-center justify-end",
+                "nodrag w-full overflow-hidden break-words",
                 statusBackgroundClass,
               )}
             >
-              <Badge
-                variant="default"
-                data-id={`badge-${id}-${data.status}`}
+              {(data.executionResults?.length ?? 0) > 0 ? (
+                <div className="mt-0 rounded-b-xl bg-gray-50">
+                  <LineSeparator />
+                  <NodeOutputs
+                    title="Latest Output"
+                    truncateLongData
+                    data={data.executionResults!.at(-1)?.data || {}}
+                  />
+                  <div className="flex justify-end">
+                    <Button
+                      variant="ghost"
+                      onClick={handleOutputClick}
+                      className="border border-gray-300"
+                    >
+                      View More
+                    </Button>
+                  </div>
+                </div>
+              ) : (
+                <div className="mt-0 min-h-4 rounded-b-xl bg-white"></div>
+              )}
+              <div
                 className={cn(
-                  "mr-4 flex min-w-[114px] items-center justify-center rounded-3xl text-center text-xs font-semibold",
-                  hasConfigErrors || hasOutputError
-                    ? "border-red-600 bg-red-600 text-white"
-                    : {
-                        "border-green-600 bg-green-600 text-white":
-                          data.status === "COMPLETED",
-                        "border-yellow-600 bg-yellow-600 text-white":
-                          data.status === "RUNNING",
-                        "border-red-600 bg-red-600 text-white":
-                          data.status === "FAILED",
-                        "border-blue-600 bg-blue-600 text-white":
-                          data.status === "QUEUED",
-                        "border-gray-600 bg-gray-600 font-black":
-                          data.status === "INCOMPLETE",
-                      },
+                  "flex min-h-12 items-center justify-end",
+                  statusBackgroundClass,
                 )}
               >
-                {hasConfigErrors || hasOutputError
-                  ? "Error"
-                  : data.status
-                    ? beautifyString(data.status)
-                    : "Not Run"}
-              </Badge>
+                <Badge
+                  variant="default"
+                  data-id={`badge-${id}-${data.status}`}
+                  className={cn(
+                    "mr-4 flex min-w-[114px] items-center justify-center rounded-3xl text-center text-xs font-semibold",
+                    hasConfigErrors || hasOutputError
+                      ? "border-red-600 bg-red-600 text-white"
+                      : {
+                          "border-green-600 bg-green-600 text-white":
+                            data.status === "COMPLETED",
+                          "border-yellow-600 bg-yellow-600 text-white":
+                            data.status === "RUNNING",
+                          "border-red-600 bg-red-600 text-white": [
+                            "FAILED",
+                            "TERMINATED",
+                          ].includes(data.status || ""),
+                          "border-blue-600 bg-blue-600 text-white":
+                            data.status === "QUEUED",
+                          "border-gray-600 bg-gray-600 font-black":
+                            data.status === "INCOMPLETE",
+                        },
+                  )}
+                >
+                  {hasConfigErrors || hasOutputError
+                    ? "Error"
+                    : data.status
+                      ? beautifyString(data.status)
+                      : "Not Run"}
+                </Badge>
+              </div>
             </div>
-          </div>
-        )}
+          )}
+        </div>
+        <InputModalComponent
+          title={activeKey ? `Enter ${beautifyString(activeKey)}` : undefined}
+          isOpen={isModalOpen}
+          onClose={() => setIsModalOpen(false)}
+          onSave={handleModalSave}
+          defaultValue={inputModalValue}
+          key={activeKey}
+        />
+        <OutputModalComponent
+          isOpen={isOutputModalOpen}
+          onClose={() => setIsOutputModalOpen(false)}
+          executionResults={data.executionResults?.toReversed() || []}
+        />
       </div>
-      <InputModalComponent
-        title={activeKey ? `Enter ${beautifyString(activeKey)}` : undefined}
-        isOpen={isModalOpen}
-        onClose={() => setIsModalOpen(false)}
-        onSave={handleModalSave}
-        defaultValue={inputModalValue}
-        key={activeKey}
-      />
-      <OutputModalComponent
-        isOpen={isOutputModalOpen}
-        onClose={() => setIsOutputModalOpen(false)}
-        executionResults={data.executionResults?.toReversed() || []}
-      />
-    </div>
-  );
-
-  return (
-    <ContextMenu.Root>
-      <ContextMenu.Trigger>{nodeContent()}</ContextMenu.Trigger>
-    </ContextMenu.Root>
-  );
-}
+    );
+
+    return (
+      <ContextMenu.Root>
+        <ContextMenu.Trigger>{nodeContent()}</ContextMenu.Trigger>
+      </ContextMenu.Root>
+    );
+  },
+  (prevProps, nextProps) => {
+    // Only re-render if the 'data' prop has changed
+    return prevProps.data === nextProps.data;
+  },
+);
diff --git a/autogpt_platform/frontend/src/components/DataTable.tsx b/autogpt_platform/frontend/src/components/DataTable.tsx
index aba62af6c275..626a14bb8ab9 100644
--- a/autogpt_platform/frontend/src/components/DataTable.tsx
+++ b/autogpt_platform/frontend/src/components/DataTable.tsx
@@ -1,6 +1,8 @@
-import React from "react";
 import { beautifyString } from "@/lib/utils";
+import { Clipboard } from "lucide-react";
+import React from "react";
 import { Button } from "./ui/button";
+import { ContentRenderer } from "./ui/render";
 import {
   Table,
   TableBody,
@@ -9,9 +11,7 @@ import {
   TableHeader,
   TableRow,
 } from "./ui/table";
-import { Clipboard } from "lucide-react";
-import { useToast } from "./ui/use-toast";
-import { ContentRenderer } from "./ui/render";
+import { useToast } from "./molecules/Toast/use-toast";
 
 type DataTableProps = {
   title?: string;
@@ -25,7 +25,6 @@ export default function DataTable({
   data,
 }: DataTableProps) {
   const { toast } = useToast();
-  const maxChars = 100;
 
   const copyData = (pin: string, data: string) => {
     navigator.clipboard.writeText(data).then(() => {
diff --git a/autogpt_platform/frontend/src/components/Flow.tsx b/autogpt_platform/frontend/src/components/Flow.tsx
index 50c319d0ab1b..1cf7dcc4b9a4 100644
--- a/autogpt_platform/frontend/src/components/Flow.tsx
+++ b/autogpt_platform/frontend/src/components/Flow.tsx
@@ -1,12 +1,15 @@
 "use client";
 import React, {
+  createContext,
   useState,
   useCallback,
   useEffect,
+  useMemo,
   useRef,
   MouseEvent,
-  createContext,
+  Suspense,
 } from "react";
+import Link from "next/link";
 import {
   ReactFlow,
   ReactFlowProvider,
@@ -21,12 +24,19 @@ import {
   useReactFlow,
   applyEdgeChanges,
   applyNodeChanges,
-  useViewport,
 } from "@xyflow/react";
 import "@xyflow/react/dist/style.css";
 import { CustomNode } from "./CustomNode";
 import "./flow.css";
-import { BlockUIType, Link } from "@/lib/autogpt-server-api";
+import {
+  BlockUIType,
+  formatEdgeID,
+  GraphExecutionID,
+  GraphID,
+  LibraryAgent,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { Key, storage } from "@/services/storage/local-storage";
 import { getTypeColor, findNewlyAddedBlockCoordinates } from "@/lib/utils";
 import { history } from "./history";
 import { CustomEdge } from "./CustomEdge";
@@ -35,6 +45,7 @@ import { Control, ControlPanel } from "@/components/edit/control/ControlPanel";
 import { SaveControl } from "@/components/edit/control/SaveControl";
 import { BlocksControl } from "@/components/edit/control/BlocksControl";
 import { IconUndo2, IconRedo2 } from "@/components/ui/icons";
+import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert";
 import { startTutorial } from "./tutorial";
 import useAgentGraph from "@/hooks/useAgentGraph";
 import { v4 as uuidv4 } from "uuid";
@@ -43,9 +54,11 @@ import RunnerUIWrapper, {
   RunnerUIWrapperRef,
 } from "@/components/RunnerUIWrapper";
 import PrimaryActionBar from "@/components/PrimaryActionButton";
-import { useToast } from "@/components/ui/use-toast";
+import OttoChatWidget from "@/components/OttoChatWidget";
+import { useToast } from "@/components/molecules/Toast/use-toast";
 import { useCopyPaste } from "../hooks/useCopyPaste";
-import { CronScheduler } from "./cronScheduler";
+import NewControlPanel from "@/app/(platform)/build/components/NewBlockMenu/NewControlPanel/NewControlPanel";
+import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
 
 // This is for the history, this is the minimum distance a block must move before it is logged
 // It helps to prevent spamming the history with small movements especially when pressing on a input in a block
@@ -69,43 +82,72 @@ export type NodeDimension = {
 export const FlowContext = createContext<FlowContextType | null>(null);
 
 const FlowEditor: React.FC<{
-  flowID?: string;
+  flowID?: GraphID;
+  flowVersion?: number;
   className?: string;
-}> = ({ flowID, className }) => {
+}> = ({ flowID, flowVersion, className }) => {
   const {
     addNodes,
     addEdges,
     getNode,
     deleteElements,
     updateNode,
+    getViewport,
     setViewport,
   } = useReactFlow<CustomNode, CustomEdge>();
   const [nodeId, setNodeId] = useState<number>(1);
   const [isAnyModalOpen, setIsAnyModalOpen] = useState(false);
-  const [visualizeBeads, setVisualizeBeads] = useState<
-    "no" | "static" | "animate"
-  >("animate");
+  const [visualizeBeads] = useState<"no" | "static" | "animate">("animate");
+  const [flowExecutionID, setFlowExecutionID] = useState<
+    GraphExecutionID | undefined
+  >();
+  // State to control if blocks menu should be pinned open
+  const [pinBlocksPopover, setPinBlocksPopover] = useState(false);
+  // State to control if save popover should be pinned open
+  const [pinSavePopover, setPinSavePopover] = useState(false);
+
   const {
     agentName,
     setAgentName,
     agentDescription,
     setAgentDescription,
     savedAgent,
-    availableNodes,
+    availableBlocks,
     availableFlows,
     getOutputType,
-    requestSave,
-    requestSaveAndRun,
-    requestStopRun,
-    scheduleRunner,
+    saveAgent,
+    saveAndRun,
+    stopRun,
+    createRunSchedule,
+    isSaving,
     isRunning,
+    isStopping,
     isScheduling,
-    setIsScheduling,
+    graphExecutionError,
     nodes,
     setNodes,
     edges,
     setEdges,
-  } = useAgentGraph(flowID, visualizeBeads !== "no");
+  } = useAgentGraph(
+    flowID,
+    flowVersion,
+    flowExecutionID,
+    visualizeBeads !== "no",
+  );
+  const api = useBackendAPI();
+  const [libraryAgent, setLibraryAgent] = useState<LibraryAgent | null>(null);
+  useEffect(() => {
+    if (!flowID) return;
+    api
+      .getLibraryAgentByGraphID(flowID, flowVersion)
+      .then((libraryAgent) => setLibraryAgent(libraryAgent))
+      .catch((error) => {
+        console.warn(
+          `Failed to fetch LibraryAgent for graph #${flowID} v${flowVersion}`,
+          error,
+        );
+      });
+  }, [api, flowID, flowVersion]);
 
   const router = useRouter();
   const pathname = usePathname();
@@ -115,46 +157,49 @@ const FlowEditor: React.FC<{
   }>({});
   const isDragging = useRef(false);
 
-  // State to control if blocks menu should be pinned open
-  const [pinBlocksPopover, setPinBlocksPopover] = useState(false);
-  // State to control if save popover should be pinned open
-  const [pinSavePopover, setPinSavePopover] = useState(false);
-
   const runnerUIRef = useRef<RunnerUIWrapperRef>(null);
 
-  const [openCron, setOpenCron] = useState(false);
-
   const { toast } = useToast();
 
-  const TUTORIAL_STORAGE_KEY = "shepherd-tour";
-
   // It stores the dimension of all nodes with position as well
   const [nodeDimensions, setNodeDimensions] = useState<NodeDimension>({});
 
+  // Set page title with or without graph name
+  useEffect(() => {
+    document.title = savedAgent
+      ? `${savedAgent.name} - Builder - AutoGPT Platform`
+      : `Builder - AutoGPT Platform`;
+  }, [savedAgent]);
+
+  const graphHasWebhookNodes = useMemo(
+    () =>
+      nodes.some((n) =>
+        [BlockUIType.WEBHOOK, BlockUIType.WEBHOOK_MANUAL].includes(
+          n.data.uiType,
+        ),
+      ),
+    [nodes],
+  );
+
   useEffect(() => {
     if (params.get("resetTutorial") === "true") {
-      localStorage.removeItem(TUTORIAL_STORAGE_KEY);
+      storage.clean(Key.SHEPHERD_TOUR);
       router.push(pathname);
-    } else if (!localStorage.getItem(TUTORIAL_STORAGE_KEY)) {
+    } else if (!storage.get(Key.SHEPHERD_TOUR)) {
       const emptyNodes = (forceRemove: boolean = false) =>
         forceRemove ? (setNodes([]), setEdges([]), true) : nodes.length === 0;
       startTutorial(emptyNodes, setPinBlocksPopover, setPinSavePopover);
-      localStorage.setItem(TUTORIAL_STORAGE_KEY, "yes");
+      storage.set(Key.SHEPHERD_TOUR, "yes");
     }
-  }, [
-    availableNodes,
-    router,
-    pathname,
-    params,
-    setEdges,
-    setNodes,
-    nodes.length,
-  ]);
+  }, [router, pathname, params, setEdges, setNodes, nodes.length]);
 
   useEffect(() => {
     if (params.get("open_scheduling") === "true") {
-      setOpenCron(true);
+      runnerUIRef.current?.openRunInputDialog();
     }
+    setFlowExecutionID(
+      (params.get("flowExecutionID") as GraphExecutionID) || undefined,
+    );
   }, [params]);
 
   useEffect(() => {
@@ -168,12 +213,12 @@ const FlowEditor: React.FC<{
 
       if (isUndo) {
         event.preventDefault();
-        handleUndo();
+        history.undo();
       }
 
       if (isRedo) {
         event.preventDefault();
-        handleRedo();
+        history.redo();
       }
     };
 
@@ -219,18 +264,16 @@ const FlowEditor: React.FC<{
   // Function to clear status, output, and close the output info dropdown of all nodes
   // and reset data beads on edges
   const clearNodesStatusAndOutput = useCallback(() => {
-    setNodes((nds) => {
-      const newNodes = nds.map((node) => ({
+    setNodes((nds) =>
+      nds.map((node) => ({
         ...node,
         data: {
           ...node.data,
           status: undefined,
           isOutputOpen: false,
         },
-      }));
-
-      return newNodes;
-    });
+      })),
+    );
   }, [setNodes]);
 
   const onNodesChange = useCallback(
@@ -248,7 +291,7 @@ const FlowEditor: React.FC<{
           if (deletedNodeData) {
             history.push({
               type: "DELETE_NODE",
-              payload: { node: deletedNodeData },
+              payload: { node: deletedNodeData.data },
               undo: () => addNodes(deletedNodeData),
               redo: () => deleteElements({ nodes: [{ id: nodeID }] }),
             });
@@ -265,14 +308,6 @@ const FlowEditor: React.FC<{
     [deleteElements, setNodes, nodes, edges, addNodes],
   );
 
-  const formatEdgeID = useCallback((conn: Link | Connection): string => {
-    if ("sink_id" in conn) {
-      return `${conn.source_id}_${conn.source_name}_${conn.sink_id}_${conn.sink_name}`;
-    } else {
-      return `${conn.source}_${conn.sourceHandle}_${conn.target}_${conn.targetHandle}`;
-    }
-  }, []);
-
   const onConnect: OnConnect = useCallback(
     (connection: Connection) => {
       // Check if this exact connection already exists
@@ -305,6 +340,8 @@ const FlowEditor: React.FC<{
           edgeColor,
           sourcePos: sourceNode!.position,
           isStatic: sourceNode!.data.isOutputStatic,
+          beadUp: 0,
+          beadDown: 0,
         },
         ...connection,
         source: connection.source!,
@@ -346,10 +383,7 @@ const FlowEditor: React.FC<{
         replaceEdges = edgeChanges.filter(
           (change) => change.type === "replace",
         ),
-        removedEdges = edgeChanges.filter((change) => change.type === "remove"),
-        selectedEdges = edgeChanges.filter(
-          (change) => change.type === "select",
-        );
+        removedEdges = edgeChanges.filter((change) => change.type === "remove");
 
       if (addedEdges.length > 0 || removedEdges.length > 0) {
         setNodes((nds) => {
@@ -419,10 +453,9 @@ const FlowEditor: React.FC<{
     return uuidv4();
   }, []);
 
-  const { x, y, zoom } = useViewport();
-
   // Set the initial view port to center the canvas.
   useEffect(() => {
+    const { x, y } = getViewport();
     if (nodes.length <= 0 || x !== 0 || y !== 0) {
       return;
     }
@@ -448,11 +481,11 @@ const FlowEditor: React.FC<{
       y: window.innerHeight / 2 - centerY * zoom,
       zoom: zoom,
     });
-  }, [nodes, setViewport, x, y]);
+  }, [nodes, getViewport, setViewport]);
 
   const addNode = useCallback(
     (blockId: string, nodeType: string, hardcodedValues: any = {}) => {
-      const nodeSchema = availableNodes.find((node) => node.id === blockId);
+      const nodeSchema = availableBlocks.find((node) => node.id === blockId);
       if (!nodeSchema) {
         console.error(`Schema not found for block ID: ${blockId}`);
         return;
@@ -469,6 +502,7 @@ const FlowEditor: React.FC<{
 
       // Alternative: We could also use D3 force, Intersection for this (React flow Pro examples)
 
+      const { x, y } = getViewport();
       const viewportCoordinates =
         nodeDimensions && Object.keys(nodeDimensions).length > 0
           ? // we will get all the dimension of nodes, then store
@@ -529,14 +563,13 @@ const FlowEditor: React.FC<{
     },
     [
       nodeId,
+      getViewport,
       setViewport,
-      availableNodes,
+      availableBlocks,
       addNodes,
       nodeDimensions,
       deleteElements,
       clearNodesStatusAndOutput,
-      x,
-      y,
     ],
   );
 
@@ -549,6 +582,8 @@ const FlowEditor: React.FC<{
         const rect = nodeElement.getBoundingClientRect();
         const { left, top, width, height } = rect;
 
+        const { x, y, zoom } = getViewport();
+
         // Convert screen coordinates to flow coordinates
         const flowX = (left - x) / zoom;
         const flowY = (top - y) / zoom;
@@ -566,20 +601,12 @@ const FlowEditor: React.FC<{
     }, {} as NodeDimension);
 
     setNodeDimensions(newNodeDimensions);
-  }, [nodes, x, y, zoom]);
+  }, [nodes, getViewport]);
 
   useEffect(() => {
     findNodeDimensions();
   }, [nodes, findNodeDimensions]);
 
-  const handleUndo = () => {
-    history.undo();
-  };
-
-  const handleRedo = () => {
-    history.redo();
-  };
-
   const handleCopyPaste = useCopyPaste(getNextNodeId);
 
   const handleKeyDown = useCallback(
@@ -609,36 +636,47 @@ const FlowEditor: React.FC<{
     clearNodesStatusAndOutput();
   }, [clearNodesStatusAndOutput]);
 
-  const editorControls: Control[] = [
-    {
-      label: "Undo",
-      icon: <IconUndo2 />,
-      onClick: handleUndo,
-    },
-    {
-      label: "Redo",
-      icon: <IconRedo2 />,
-      onClick: handleRedo,
-    },
-  ];
+  const editorControls: Control[] = useMemo(
+    () => [
+      {
+        label: "Undo",
+        icon: <IconUndo2 />,
+        onClick: history.undo,
+      },
+      {
+        label: "Redo",
+        icon: <IconRedo2 />,
+        onClick: history.redo,
+      },
+    ],
+    [],
+  );
 
-  // This function is called after cron expression is created
-  // So you can collect inputs for scheduling
-  const afterCronCreation = (cronExpression: string) => {
-    runnerUIRef.current?.collectInputsForScheduling(cronExpression);
-  };
+  const handleRunButton = useCallback(async () => {
+    if (isRunning) return;
+    if (!savedAgent) {
+      toast({
+        title: `Please save the agent first, using the button in the left sidebar.`,
+      });
+      return;
+    }
+    await saveAgent();
+    runnerUIRef.current?.runOrOpenInput();
+  }, [isRunning, savedAgent, toast, saveAgent]);
 
-  // This function Opens up form for creating cron expression
-  const handleScheduleButton = () => {
+  const handleScheduleButton = useCallback(async () => {
+    if (isScheduling) return;
     if (!savedAgent) {
       toast({
-        title: `Please save the agent using the button in the left sidebar before running it.`,
-        duration: 2000,
+        title: `Please save the agent first, using the button in the left sidebar.`,
       });
       return;
     }
-    setOpenCron(true);
-  };
+    await saveAgent();
+    runnerUIRef.current?.openRunInputDialog();
+  }, [isScheduling, savedAgent, toast, saveAgent]);
+
+  const isNewBlockEnabled = useGetFlag(Flag.NEW_BLOCK_MENU);
 
   return (
     <FlowContext.Provider
@@ -658,76 +696,100 @@ const FlowEditor: React.FC<{
           onNodeDragStop={onNodeDragEnd}
           onNodeDragStart={onNodeDragStart}
           deleteKeyCode={["Backspace", "Delete"]}
-          minZoom={0.2}
+          minZoom={0.1}
           maxZoom={2}
           className="dark:bg-slate-900"
         >
           <Controls />
           <Background className="dark:bg-slate-800" />
-          <ControlPanel
-            className="absolute z-10"
-            controls={editorControls}
-            topChildren={
-              <BlocksControl
-                pinBlocksPopover={pinBlocksPopover} // Pass the state to BlocksControl
-                blocks={availableNodes}
-                addBlock={addNode}
-                flows={availableFlows}
-                nodes={nodes}
-              />
-            }
-            botChildren={
-              <SaveControl
-                agentMeta={savedAgent}
-                onSave={(isTemplate) => requestSave(isTemplate ?? false)}
-                agentDescription={agentDescription}
-                onDescriptionChange={setAgentDescription}
-                agentName={agentName}
-                onNameChange={setAgentName}
-                pinSavePopover={pinSavePopover}
-              />
-            }
-          ></ControlPanel>
-          <PrimaryActionBar
-            onClickAgentOutputs={() => runnerUIRef.current?.openRunnerOutput()}
-            onClickRunAgent={() => {
-              if (!savedAgent) {
-                toast({
-                  title: `Please save the agent using the button in the left sidebar before running it.`,
-                  duration: 2000,
-                });
-                return;
+          {isNewBlockEnabled ? (
+            <NewControlPanel
+              flowExecutionID={flowExecutionID}
+              visualizeBeads={visualizeBeads}
+              pinSavePopover={pinSavePopover}
+              pinBlocksPopover={pinBlocksPopover}
+            />
+          ) : (
+            <ControlPanel
+              className="absolute z-20"
+              controls={editorControls}
+              topChildren={
+                <BlocksControl
+                  pinBlocksPopover={pinBlocksPopover} // Pass the state to BlocksControl
+                  blocks={availableBlocks}
+                  addBlock={addNode}
+                  flows={availableFlows}
+                  nodes={nodes}
+                />
               }
-              if (!isRunning) {
-                runnerUIRef.current?.runOrOpenInput();
-              } else {
-                requestStopRun();
+              botChildren={
+                <SaveControl
+                  agentMeta={savedAgent}
+                  canSave={!isSaving && !isRunning && !isStopping}
+                  onSave={saveAgent}
+                  agentDescription={agentDescription}
+                  onDescriptionChange={setAgentDescription}
+                  agentName={agentName}
+                  onNameChange={setAgentName}
+                  pinSavePopover={pinSavePopover}
+                />
               }
-            }}
-            onClickScheduleButton={handleScheduleButton}
-            isScheduling={isScheduling}
-            isDisabled={!savedAgent}
-            isRunning={isRunning}
-            requestStopRun={requestStopRun}
-            runAgentTooltip={!isRunning ? "Run Agent" : "Stop Agent"}
-          />
-          <CronScheduler
-            afterCronCreation={afterCronCreation}
-            open={openCron}
-            setOpen={setOpenCron}
-          />
+            />
+          )}
+
+          {!graphHasWebhookNodes ? (
+            <PrimaryActionBar
+              className="absolute bottom-0 left-1/2 z-20 -translate-x-1/2"
+              onClickAgentOutputs={runnerUIRef.current?.openRunnerOutput}
+              onClickRunAgent={handleRunButton}
+              onClickStopRun={stopRun}
+              onClickScheduleButton={handleScheduleButton}
+              isDisabled={!savedAgent}
+              isRunning={isRunning}
+            />
+          ) : (
+            <Alert className="absolute bottom-4 left-1/2 z-20 w-auto -translate-x-1/2 select-none">
+              <AlertTitle>You are building a Trigger Agent</AlertTitle>
+              <AlertDescription>
+                Your agent{" "}
+                {savedAgent?.nodes.some((node) => node.webhook)
+                  ? "is listening"
+                  : "will listen"}{" "}
+                for its trigger and will run when the time is right.
+                <br />
+                You can view its activity in your
+                <Link
+                  href={
+                    libraryAgent
+                      ? `/library/agents/${libraryAgent.id}`
+                      : "/library"
+                  }
+                  className="underline"
+                >
+                  Agent Library
+                </Link>
+                .
+              </AlertDescription>
+            </Alert>
+          )}
         </ReactFlow>
       </div>
-      <RunnerUIWrapper
-        ref={runnerUIRef}
-        nodes={nodes}
-        setNodes={setNodes}
-        setIsScheduling={setIsScheduling}
-        isScheduling={isScheduling}
-        isRunning={isRunning}
-        scheduleRunner={scheduleRunner}
-        requestSaveAndRun={requestSaveAndRun}
-      />
+      {savedAgent && (
+        <RunnerUIWrapper
+          ref={runnerUIRef}
+          graph={savedAgent}
+          nodes={nodes}
+          graphExecutionError={graphExecutionError}
+          createRunSchedule={createRunSchedule}
+          saveAndRun={saveAndRun}
+        />
+      )}
+      <Suspense fallback={null}>
+        <OttoChatWidget
+          graphID={flowID}
+          className="fixed bottom-4 right-4 z-20"
+        />
+      </Suspense>
     </FlowContext.Provider>
   );
 };
diff --git a/autogpt_platform/frontend/src/components/InputModalComponent.tsx b/autogpt_platform/frontend/src/components/InputModalComponent.tsx
index 08fe0700eea8..a5e876e78554 100644
--- a/autogpt_platform/frontend/src/components/InputModalComponent.tsx
+++ b/autogpt_platform/frontend/src/components/InputModalComponent.tsx
@@ -3,7 +3,7 @@ import { Button } from "./ui/button";
 import { Textarea } from "./ui/textarea";
 import { Maximize2, Minimize2, Clipboard } from "lucide-react";
 import { createPortal } from "react-dom";
-import { toast } from "./ui/use-toast";
+import { toast } from "./molecules/Toast/use-toast";
 
 interface ModalProps {
   isOpen: boolean;
diff --git a/autogpt_platform/frontend/src/components/NavBar.tsx b/autogpt_platform/frontend/src/components/NavBar.tsx
deleted file mode 100644
index aa54a84f706b..000000000000
--- a/autogpt_platform/frontend/src/components/NavBar.tsx
+++ /dev/null
@@ -1,84 +0,0 @@
-import Link from "next/link";
-import { Button } from "@/components/ui/button";
-import React from "react";
-import { Sheet, SheetContent, SheetTrigger } from "@/components/ui/sheet";
-import Image from "next/image";
-import getServerUser from "@/lib/supabase/getServerUser";
-import ProfileDropdown from "./ProfileDropdown";
-import { IconCircleUser, IconMenu } from "@/components/ui/icons";
-import CreditButton from "@/components/nav/CreditButton";
-import { NavBarButtons } from "./nav/NavBarButtons";
-
-export async function NavBar() {
-  const isAvailable = Boolean(
-    process.env.NEXT_PUBLIC_SUPABASE_URL &&
-      process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY,
-  );
-  const { user } = await getServerUser();
-
-  return user ? (
-    <header className="sticky top-0 z-50 mx-4 flex h-16 select-none items-center gap-4 border border-gray-300 bg-background p-3 md:rounded-b-2xl md:px-6 md:shadow">
-      <div className="flex flex-1 items-center gap-4">
-        <Sheet>
-          <SheetTrigger asChild>
-            <Button
-              variant="outline"
-              size="icon"
-              className="shrink-0 md:hidden"
-            >
-              <IconMenu />
-              <span className="sr-only">Toggle navigation menu</span>
-            </Button>
-          </SheetTrigger>
-          <SheetContent side="left">
-            <nav className="grid gap-6 text-lg font-medium">
-              <NavBarButtons className="flex flex-row items-center gap-2" />
-            </nav>
-          </SheetContent>
-        </Sheet>
-        <nav className="hidden md:flex md:flex-row md:items-center md:gap-5 lg:gap-8">
-          <div className="flex h-10 w-20 flex-1 flex-row items-center justify-center gap-2">
-            <a href="https://agpt.co/">
-              <Image
-                src="/AUTOgpt_Logo_dark.png"
-                alt="AutoGPT Logo"
-                width={100}
-                height={40}
-                priority
-              />
-            </a>
-          </div>
-          <NavBarButtons className="flex flex-row items-center gap-1 border border-white font-semibold hover:border-gray-900" />
-        </nav>
-      </div>
-      <div className="flex flex-1 items-center justify-end gap-4">
-        {isAvailable && user && <CreditButton />}
-
-        {isAvailable && !user && (
-          <Link
-            href="/login"
-            className="flex flex-row items-center gap-2 text-muted-foreground hover:text-foreground"
-          >
-            Log In
-            <IconCircleUser />
-          </Link>
-        )}
-        {isAvailable && user && <ProfileDropdown />}
-      </div>
-    </header>
-  ) : (
-    <nav className="flex w-full items-center p-2 pt-8">
-      <div className="flex h-10 w-20 flex-1 flex-row items-center justify-center gap-2">
-        <a href="https://agpt.co/">
-          <Image
-            src="/AUTOgpt_Logo_dark.png"
-            alt="AutoGPT Logo"
-            width={100}
-            height={40}
-            priority
-          />
-        </a>
-      </div>
-    </nav>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/NodeHandle.tsx b/autogpt_platform/frontend/src/components/NodeHandle.tsx
index 137e5e4c3754..1cdf5af26520 100644
--- a/autogpt_platform/frontend/src/components/NodeHandle.tsx
+++ b/autogpt_platform/frontend/src/components/NodeHandle.tsx
@@ -1,6 +1,7 @@
 import { BlockIOSubSchema } from "@/lib/autogpt-server-api/types";
+import { cn } from "@/lib/utils";
 import { beautifyString, getTypeBgColor, getTypeTextColor } from "@/lib/utils";
-import { FC } from "react";
+import { FC, memo, useCallback } from "react";
 import { Handle, Position } from "@xyflow/react";
 import SchemaTooltip from "./SchemaTooltip";
 
@@ -11,8 +12,35 @@ type HandleProps = {
   isRequired?: boolean;
   side: "left" | "right";
   title?: string;
+  className?: string;
 };
 
+// Move the constant out of the component to avoid re-creation on every render.
+const TYPE_NAME: Record<string, string> = {
+  string: "text",
+  number: "number",
+  integer: "integer",
+  boolean: "true/false",
+  object: "object",
+  array: "list",
+  null: "null",
+};
+
+// Extract and memoize the Dot component so that it doesn't re-render unnecessarily.
+const Dot: FC<{ isConnected: boolean; type?: string }> = memo(
+  ({ isConnected, type }) => {
+    const color = isConnected
+      ? getTypeBgColor(type || "any")
+      : "border-gray-300 dark:border-gray-600";
+    return (
+      <div
+        className={`${color} m-1 h-4 w-4 rounded-full border-2 bg-white transition-colors duration-100 group-hover:bg-gray-300 dark:bg-slate-800 dark:group-hover:bg-gray-700`}
+      />
+    );
+  },
+);
+Dot.displayName = "Dot";
+
 const NodeHandle: FC<HandleProps> = ({
   keyName,
   schema,
@@ -20,45 +48,45 @@ const NodeHandle: FC<HandleProps> = ({
   isRequired,
   side,
   title,
+  className,
 }) => {
-  const typeName: Record<string, string> = {
-    string: "text",
-    number: "number",
-    integer: "integer",
-    boolean: "true/false",
-    object: "object",
-    array: "list",
-    null: "null",
-  };
-
-  const typeClass = `text-sm ${getTypeTextColor(schema.type || "any")} ${side === "left" ? "text-left" : "text-right"}`;
+  const typeClass = `text-sm ${getTypeTextColor(schema.type || "any")} ${
+    side === "left" ? "text-left" : "text-right"
+  }`;
 
   const label = (
     <div className="flex flex-grow flex-row">
-      <span className="text-m green flex items-end pr-2 text-gray-900 dark:text-gray-100">
+      <span
+        className={cn(
+          "text-m green flex items-end pr-2 text-gray-900 dark:text-gray-100",
+          className,
+        )}
+      >
         {title || schema.title || beautifyString(keyName.toLowerCase())}
         {isRequired ? "*" : ""}
       </span>
       <span className={`${typeClass} flex items-end`}>
-        ({typeName[schema.type as keyof typeof typeName] || "any"})
+        ({TYPE_NAME[schema.type as keyof typeof TYPE_NAME] || "any"})
       </span>
     </div>
   );
 
-  const Dot = () => {
-    const color = isConnected
-      ? getTypeBgColor(schema.type || "any")
-      : "border-gray-300 dark:border-gray-600";
-    return (
-      <div
-        className={`${color} m-1 h-4 w-4 rounded-full border-2 bg-white transition-colors duration-100 group-hover:bg-gray-300 dark:bg-slate-800 dark:group-hover:bg-gray-700`}
-      />
-    );
-  };
+  // Use a native HTML onContextMenu handler instead of wrapping a large node with a Radix ContextMenu trigger.
+  const handleContextMenu = useCallback(
+    (e: React.MouseEvent<HTMLDivElement>) => {
+      e.preventDefault();
+      // Optionally, you can trigger a custom, lightweight context menu here.
+    },
+    [],
+  );
 
   if (side === "left") {
     return (
-      <div key={keyName} className="handle-container">
+      <div
+        key={keyName}
+        className="handle-container"
+        onContextMenu={handleContextMenu}
+      >
         <Handle
           type="target"
           data-testid={`input-handle-${keyName}`}
@@ -67,7 +95,7 @@ const NodeHandle: FC<HandleProps> = ({
           className="group -ml-[38px]"
         >
           <div className="pointer-events-none flex items-center">
-            <Dot />
+            <Dot isConnected={isConnected} type={schema.type} />
             {label}
           </div>
         </Handle>
@@ -76,17 +104,21 @@ const NodeHandle: FC<HandleProps> = ({
     );
   } else {
     return (
-      <div key={keyName} className="handle-container justify-end">
+      <div
+        key={keyName}
+        className="handle-container justify-end"
+        onContextMenu={handleContextMenu}
+      >
         <Handle
           type="source"
           data-testid={`output-handle-${keyName}`}
           position={Position.Right}
           id={keyName}
-          className="group -mr-[26px]"
+          className="group -mr-[38px]"
         >
           <div className="pointer-events-none flex items-center">
             {label}
-            <Dot />
+            <Dot isConnected={isConnected} type={schema.type} />
           </div>
         </Handle>
       </div>
@@ -94,4 +126,4 @@ const NodeHandle: FC<HandleProps> = ({
   }
 };
 
-export default NodeHandle;
+export default memo(NodeHandle);
diff --git a/autogpt_platform/frontend/src/components/NodeOutputs.tsx b/autogpt_platform/frontend/src/components/NodeOutputs.tsx
index fcedf1f408ce..1a6ad26e0ae2 100644
--- a/autogpt_platform/frontend/src/components/NodeOutputs.tsx
+++ b/autogpt_platform/frontend/src/components/NodeOutputs.tsx
@@ -26,15 +26,23 @@ export default function NodeOutputs({
           <div className="mt-2">
             <strong className="mr-2">Data:</strong>
             <div className="mt-1">
-              {dataArray.map((item, index) => (
+              {dataArray.slice(0, 10).map((item, index) => (
                 <React.Fragment key={index}>
                   <ContentRenderer
                     value={item}
                     truncateLongData={truncateLongData}
                   />
-                  {index < dataArray.length - 1 && ", "}
+                  {index < Math.min(dataArray.length, 10) - 1 && ", "}
                 </React.Fragment>
               ))}
+              {dataArray.length > 10 && (
+                <span style={{ color: "#888" }}>
+                  <br />
+                  <b>⋮</b>
+                  <br />
+                  <span>and {dataArray.length - 10} more</span>
+                </span>
+              )}
             </div>
             <Separator.Root className="my-4 h-[1px] bg-gray-300" />
           </div>
diff --git a/autogpt_platform/frontend/src/components/OttoChatWidget.tsx b/autogpt_platform/frontend/src/components/OttoChatWidget.tsx
new file mode 100644
index 000000000000..3eaf75951d7a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/OttoChatWidget.tsx
@@ -0,0 +1,310 @@
+"use client";
+
+import React, { useEffect, useState, useRef } from "react";
+import ReactMarkdown from "react-markdown";
+
+import type { GraphID } from "@/lib/autogpt-server-api/types";
+import { askOtto } from "@/app/(platform)/build/actions";
+import { cn } from "@/lib/utils";
+
+interface Message {
+  type: "user" | "assistant";
+  content: string;
+}
+
+export default function OttoChatWidget({
+  graphID,
+  className,
+}: {
+  graphID?: GraphID;
+  className?: string;
+}): React.ReactNode {
+  const [isOpen, setIsOpen] = useState(false);
+  const [messages, setMessages] = useState<Message[]>([]);
+  const [inputValue, setInputValue] = useState("");
+  const [isProcessing, setIsProcessing] = useState(false);
+  const [includeGraphData, setIncludeGraphData] = useState(false);
+  const messagesEndRef = useRef<HTMLDivElement>(null);
+
+  useEffect(() => {
+    // Add welcome message when component mounts
+    if (messages.length === 0) {
+      setMessages([
+        {
+          type: "assistant",
+          content: "Hello, I am Otto! Ask me anything about AutoGPT!",
+        },
+      ]);
+    }
+  }, [messages.length]);
+
+  useEffect(() => {
+    // Scroll to bottom whenever messages change
+    messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
+  }, [messages]);
+
+  const handleSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    if (!inputValue.trim() || isProcessing) return;
+
+    const userMessage = inputValue.trim();
+    setInputValue("");
+    setIsProcessing(true);
+
+    // Add user message to chat
+    setMessages((prev) => [...prev, { type: "user", content: userMessage }]);
+
+    // Add temporary processing message
+    setMessages((prev) => [
+      ...prev,
+      { type: "assistant", content: "Processing your question..." },
+    ]);
+
+    const conversationHistory = messages.reduce<
+      { query: string; response: string }[]
+    >((acc, msg, i, arr) => {
+      if (
+        msg.type === "user" &&
+        i + 1 < arr.length &&
+        arr[i + 1].type === "assistant" &&
+        arr[i + 1].content !== "Processing your question..."
+      ) {
+        acc.push({
+          query: msg.content,
+          response: arr[i + 1].content,
+        });
+      }
+      return acc;
+    }, []);
+
+    try {
+      const data = await askOtto(
+        userMessage,
+        conversationHistory,
+        includeGraphData,
+        graphID,
+      );
+
+      // Check if the response contains an error
+      if ("error" in data && data.error === true) {
+        // Handle different error types
+        let errorMessage =
+          "Sorry, there was an error processing your message. Please try again.";
+
+        if (data.answer === "Authentication required") {
+          errorMessage = "Please sign in to use the chat feature.";
+        } else if (data.answer === "Failed to connect to Otto service") {
+          errorMessage =
+            "Otto service is currently unavailable. Please try again later.";
+        } else if (data.answer.includes("timed out")) {
+          errorMessage = "Request timed out. Please try again later.";
+        }
+
+        // Remove processing message and add error message
+        setMessages((prev) => [
+          ...prev.slice(0, -1),
+          { type: "assistant", content: errorMessage },
+        ]);
+      } else {
+        // Remove processing message and add actual response
+        setMessages((prev) => [
+          ...prev.slice(0, -1),
+          { type: "assistant", content: data.answer },
+        ]);
+      }
+    } catch (error) {
+      console.error("Unexpected error in chat widget:", error);
+      setMessages((prev) => [
+        ...prev.slice(0, -1),
+        {
+          type: "assistant",
+          content:
+            "An unexpected error occurred. Please refresh the page and try again.",
+        },
+      ]);
+    } finally {
+      setIsProcessing(false);
+      setIncludeGraphData(false);
+    }
+  };
+
+  // Don't render the chat widget if we're not on the build page or in local mode
+  if (process.env.NEXT_PUBLIC_BEHAVE_AS !== "CLOUD") {
+    return null;
+  }
+
+  if (!isOpen) {
+    return (
+      <div className={className}>
+        <button
+          onClick={() => setIsOpen(true)}
+          className="inline-flex h-14 w-14 items-center justify-center whitespace-nowrap rounded-2xl bg-[rgba(65,65,64,1)] text-neutral-50 shadow transition-colors hover:bg-neutral-900/90 focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 dark:bg-neutral-50 dark:text-neutral-900 dark:hover:bg-neutral-50/90 dark:focus-visible:ring-neutral-300"
+          aria-label="Open chat widget"
+        >
+          <svg
+            viewBox="0 0 24 24"
+            className="h-6 w-6"
+            stroke="currentColor"
+            strokeWidth="2"
+            fill="none"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+          >
+            <path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z" />
+          </svg>
+        </button>
+      </div>
+    );
+  }
+
+  return (
+    <div
+      className={cn(
+        "flex h-[600px] w-[600px] flex-col rounded-lg border bg-background shadow-xl",
+        className,
+        "z-40",
+      )}
+    >
+      {/* Header */}
+      <div className="flex items-center justify-between border-b p-4">
+        <h2 className="font-semibold">Otto Assistant</h2>
+        <button
+          onClick={() => setIsOpen(false)}
+          className="text-muted-foreground transition-colors hover:text-foreground"
+          aria-label="Close chat"
+        >
+          <svg
+            viewBox="0 0 24 24"
+            className="h-5 w-5"
+            stroke="currentColor"
+            strokeWidth="2"
+            fill="none"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+          >
+            <line x1="18" y1="6" x2="6" y2="18" />
+            <line x1="6" y1="6" x2="18" y2="18" />
+          </svg>
+        </button>
+      </div>
+
+      {/* Messages */}
+      <div className="flex-1 space-y-4 overflow-y-auto p-4">
+        {messages.map((message, index) => (
+          <div
+            key={index}
+            className={`flex ${message.type === "user" ? "justify-end" : "justify-start"}`}
+          >
+            <div
+              className={`max-w-[80%] rounded-lg p-3 ${
+                message.type === "user"
+                  ? "ml-4 bg-black text-white"
+                  : "mr-4 bg-[#8b5cf6] text-white"
+              }`}
+            >
+              {message.type === "user" ? (
+                message.content
+              ) : (
+                <ReactMarkdown
+                  className="prose prose-sm dark:prose-invert max-w-none"
+                  components={{
+                    p: ({ children }) => (
+                      <p className="mb-2 last:mb-0">{children}</p>
+                    ),
+                    code(props) {
+                      const { children, className, node: _, ...rest } = props;
+                      const match = /language-(\w+)/.exec(className || "");
+                      return match ? (
+                        <pre className="overflow-x-auto rounded-md bg-muted-foreground/20 p-3">
+                          <code className="font-mono text-sm" {...rest}>
+                            {children}
+                          </code>
+                        </pre>
+                      ) : (
+                        <code
+                          className="rounded-md bg-muted-foreground/20 px-1 py-0.5 font-mono text-sm"
+                          {...rest}
+                        >
+                          {children}
+                        </code>
+                      );
+                    },
+                    ul: ({ children }) => (
+                      <ul className="mb-2 list-disc pl-4 last:mb-0">
+                        {children}
+                      </ul>
+                    ),
+                    ol: ({ children }) => (
+                      <ol className="mb-2 list-decimal pl-4 last:mb-0">
+                        {children}
+                      </ol>
+                    ),
+                    li: ({ children }) => (
+                      <li className="mb-1 last:mb-0">{children}</li>
+                    ),
+                  }}
+                >
+                  {message.content}
+                </ReactMarkdown>
+              )}
+            </div>
+          </div>
+        ))}
+        <div ref={messagesEndRef} />
+      </div>
+
+      {/* Input */}
+      <form onSubmit={handleSubmit} className="border-t p-4">
+        <div className="flex flex-col gap-2">
+          <div className="flex gap-2">
+            <input
+              type="text"
+              value={inputValue}
+              onChange={(e) => setInputValue(e.target.value)}
+              placeholder="Type your message..."
+              className="flex-1 rounded-md border bg-background px-3 py-2 focus:outline-none focus:ring-2 focus:ring-primary"
+              disabled={isProcessing}
+            />
+            <button
+              type="submit"
+              disabled={isProcessing}
+              className="rounded-md bg-primary px-4 py-2 text-primary-foreground transition-colors hover:bg-primary/90 disabled:opacity-50"
+            >
+              Send
+            </button>
+          </div>
+          {graphID && (
+            <button
+              type="button"
+              onClick={() => {
+                setIncludeGraphData((prev) => !prev);
+              }}
+              className={`flex items-center gap-2 rounded border px-2 py-1.5 text-sm transition-all duration-200 ${
+                includeGraphData
+                  ? "border-primary/30 bg-primary/10 text-primary hover:shadow-[0_0_10px_3px_rgba(139,92,246,0.3)]"
+                  : "border-transparent bg-muted text-muted-foreground hover:bg-muted/80 hover:shadow-[0_0_10px_3px_rgba(139,92,246,0.15)]"
+              }`}
+            >
+              <svg
+                viewBox="0 0 24 24"
+                className="h-4 w-4"
+                stroke="currentColor"
+                strokeWidth="2"
+                fill="none"
+                strokeLinecap="round"
+                strokeLinejoin="round"
+              >
+                <rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
+                <circle cx="8.5" cy="8.5" r="1.5" />
+                <polyline points="21 15 16 10 5 21" />
+              </svg>
+              {includeGraphData
+                ? "Graph data will be included"
+                : "Include graph data"}
+            </button>
+          )}
+        </div>
+      </form>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/OutputModalComponent.tsx b/autogpt_platform/frontend/src/components/OutputModalComponent.tsx
index 082bdb022d7f..8cd7efa4516a 100644
--- a/autogpt_platform/frontend/src/components/OutputModalComponent.tsx
+++ b/autogpt_platform/frontend/src/components/OutputModalComponent.tsx
@@ -29,7 +29,12 @@ const OutputModalComponent: FC<OutputModalProps> = ({
         <div className="my-2 max-h-[384px] flex-grow overflow-y-auto rounded-md p-2">
           {executionResults.map((data, i) => (
             <>
-              <DataTable key={i} title={data.execId} data={data.data} />
+              <DataTable
+                key={i}
+                title={data.execId}
+                data={data.data}
+                truncateLongData={true}
+              />
               <Separator />
             </>
           ))}
diff --git a/autogpt_platform/frontend/src/components/PrimaryActionButton.tsx b/autogpt_platform/frontend/src/components/PrimaryActionButton.tsx
index e707d3c1f9d9..1d2134321b72 100644
--- a/autogpt_platform/frontend/src/components/PrimaryActionButton.tsx
+++ b/autogpt_platform/frontend/src/components/PrimaryActionButton.tsx
@@ -1,108 +1,95 @@
-import React, { useState } from "react";
-import { Button } from "./ui/button";
-import { Clock, LogOut, ChevronLeft } from "lucide-react";
+import React from "react";
+import { cn } from "@/lib/utils";
+import { Button } from "@/components/ui/button";
+import { LogOut } from "lucide-react";
+import { ClockIcon } from "@phosphor-icons/react";
 import { IconPlay, IconSquare } from "@/components/ui/icons";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipTrigger,
-} from "@/components/ui/tooltip";
-import { FaSpinner } from "react-icons/fa";
 
 interface PrimaryActionBarProps {
-  onClickAgentOutputs: () => void;
-  onClickRunAgent: () => void;
-  onClickScheduleButton: () => void;
+  onClickAgentOutputs?: () => void;
+  onClickRunAgent?: () => void;
+  onClickStopRun: () => void;
+  onClickScheduleButton?: () => void;
   isRunning: boolean;
   isDisabled: boolean;
-  isScheduling: boolean;
-  requestStopRun: () => void;
-  runAgentTooltip: string;
+  className?: string;
 }
 
 const PrimaryActionBar: React.FC<PrimaryActionBarProps> = ({
   onClickAgentOutputs,
   onClickRunAgent,
+  onClickStopRun,
   onClickScheduleButton,
   isRunning,
   isDisabled,
-  isScheduling,
-  requestStopRun,
-  runAgentTooltip,
+  className,
 }) => {
-  const runButtonLabel = !isRunning ? "Run" : "Stop";
-
-  const runButtonIcon = !isRunning ? <IconPlay /> : <IconSquare />;
+  const buttonClasses =
+    "flex items-center gap-2 text-sm font-medium md:text-lg";
+  return (
+    <div
+      className={cn(
+        "flex w-fit select-none items-center justify-center p-4",
+        className,
+      )}
+    >
+      <div className="flex gap-1 md:gap-4">
+        {onClickAgentOutputs && (
+          <Button
+            className={buttonClasses}
+            variant="outline"
+            size="primary"
+            onClick={onClickAgentOutputs}
+            title="View agent outputs"
+          >
+            <LogOut className="hidden size-5 md:flex" /> Agent Outputs
+          </Button>
+        )}
 
-  const runButtonOnClick = !isRunning ? onClickRunAgent : requestStopRun;
+        {!isRunning ? (
+          <Button
+            className={cn(
+              buttonClasses,
+              onClickRunAgent && isDisabled
+                ? "cursor-default opacity-50 hover:bg-accent"
+                : "",
+            )}
+            variant="accent"
+            size="primary"
+            onClick={onClickRunAgent}
+            disabled={!onClickRunAgent}
+            title="Run the agent"
+            aria-label="Run the agent"
+            data-testid="primary-action-run-agent"
+          >
+            <IconPlay /> Run
+          </Button>
+        ) : (
+          <Button
+            className={buttonClasses}
+            variant="destructive"
+            size="primary"
+            onClick={onClickStopRun}
+            title="Stop the agent"
+            data-id="primary-action-stop-agent"
+          >
+            <IconSquare /> Stop
+          </Button>
+        )}
 
-  return (
-    <div className="absolute bottom-0 left-1/2 z-50 flex w-fit -translate-x-1/2 transform select-none items-center justify-center p-4">
-      <div className={`flex gap-4`}>
-        <Tooltip key="ViewOutputs" delayDuration={500}>
-          <TooltipTrigger asChild>
-            <Button
-              className="flex items-center gap-2"
-              onClick={onClickAgentOutputs}
-              size="primary"
-              variant="outline"
-            >
-              <LogOut className="hidden h-5 w-5 md:flex" />
-              <span className="text-sm font-medium md:text-lg">
-                Agent Outputs{" "}
-              </span>
-            </Button>
-          </TooltipTrigger>
-          <TooltipContent>
-            <p>View agent outputs</p>
-          </TooltipContent>
-        </Tooltip>
-        <Tooltip key="RunAgent" delayDuration={500}>
-          <TooltipTrigger asChild>
-            <Button
-              className="flex items-center gap-2"
-              onClick={runButtonOnClick}
-              size="primary"
-              style={{
-                background: isRunning ? "#DF4444" : "#7544DF",
-                opacity: isDisabled ? 0.5 : 1,
-              }}
-              data-id="primary-action-run-agent"
-            >
-              {runButtonIcon}
-              <span className="text-sm font-medium md:text-lg">
-                {runButtonLabel}
-              </span>
-            </Button>
-          </TooltipTrigger>
-          <TooltipContent>
-            <p>{runAgentTooltip}</p>
-          </TooltipContent>
-        </Tooltip>
-        <Tooltip key="ScheduleAgent" delayDuration={500}>
-          <TooltipTrigger asChild>
-            <Button
-              className="flex items-center gap-2"
-              onClick={onClickScheduleButton}
-              size="primary"
-              disabled={isScheduling}
-              variant="outline"
-              data-id="primary-action-schedule-agent"
-            >
-              {isScheduling ? (
-                <FaSpinner className="animate-spin" />
-              ) : (
-                <Clock className="hidden h-5 w-5 md:flex" />
-              )}
-              <span className="text-sm font-medium md:text-lg">
-                Schedule Run
-              </span>
-            </Button>
-          </TooltipTrigger>
-          <TooltipContent>
-            <p>Schedule this Agent</p>
-          </TooltipContent>
-        </Tooltip>
+        {onClickScheduleButton && (
+          <Button
+            className={buttonClasses}
+            variant="outline"
+            size="primary"
+            onClick={onClickScheduleButton}
+            title="Set up a run schedule for the agent"
+            data-id="primary-action-schedule-agent"
+          >
+            <ClockIcon className="hidden h-5 w-5 md:flex" />
+            Schedule Run
+          </Button>
+        )}
       </div>
     </div>
   );
diff --git a/autogpt_platform/frontend/src/components/ProfileDropdown.tsx b/autogpt_platform/frontend/src/components/ProfileDropdown.tsx
deleted file mode 100644
index 0c8517e4e550..000000000000
--- a/autogpt_platform/frontend/src/components/ProfileDropdown.tsx
+++ /dev/null
@@ -1,55 +0,0 @@
-"use client";
-import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
-import {
-  DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
-  DropdownMenuTrigger,
-} from "@/components/ui/dropdown-menu";
-import { Button } from "./ui/button";
-import { useRouter } from "next/navigation";
-import useSupabase from "@/hooks/useSupabase";
-
-const ProfileDropdown = () => {
-  const { supabase, user, isUserLoading } = useSupabase();
-  const router = useRouter();
-
-  if (isUserLoading) {
-    return null;
-  }
-
-  return (
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="ghost" className="h-8 w-8 rounded-full">
-          <Avatar>
-            <AvatarImage
-              src={user?.user_metadata["avatar_url"]}
-              alt="User Avatar"
-            />
-            <AvatarFallback>CN</AvatarFallback>
-          </Avatar>
-        </Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent align="end">
-        <DropdownMenuItem onClick={() => router.push("/profile")}>
-          Profile
-        </DropdownMenuItem>
-        {user!.role === "admin" && (
-          <DropdownMenuItem onClick={() => router.push("/admin/dashboard")}>
-            Admin Dashboard
-          </DropdownMenuItem>
-        )}
-        <DropdownMenuItem
-          onClick={() =>
-            supabase?.auth.signOut().then(() => router.replace("/login"))
-          }
-        >
-          Log out
-        </DropdownMenuItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  );
-};
-
-export default ProfileDropdown;
diff --git a/autogpt_platform/frontend/src/components/RoleBasedAccess.tsx b/autogpt_platform/frontend/src/components/RoleBasedAccess.tsx
index 176c4761c178..b31e4dd08b72 100644
--- a/autogpt_platform/frontend/src/components/RoleBasedAccess.tsx
+++ b/autogpt_platform/frontend/src/components/RoleBasedAccess.tsx
@@ -1,5 +1,5 @@
 // components/RoleBasedAccess.tsx
-import useSupabase from "@/hooks/useSupabase";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
 import React from "react";
 
 interface RoleBasedAccessProps {
diff --git a/autogpt_platform/frontend/src/components/RunnerUIWrapper.tsx b/autogpt_platform/frontend/src/components/RunnerUIWrapper.tsx
index 8a2b7f798f1c..9370c1c21112 100644
--- a/autogpt_platform/frontend/src/components/RunnerUIWrapper.tsx
+++ b/autogpt_platform/frontend/src/components/RunnerUIWrapper.tsx
@@ -1,190 +1,113 @@
 import React, {
   useState,
-  useCallback,
   forwardRef,
   useImperativeHandle,
+  useMemo,
 } from "react";
-import RunnerInputUI from "./runner-ui/RunnerInputUI";
-import RunnerOutputUI from "./runner-ui/RunnerOutputUI";
 import { Node } from "@xyflow/react";
-import { filterBlocksByType } from "@/lib/utils";
-import { BlockIORootSchema, BlockUIType } from "@/lib/autogpt-server-api/types";
-
-interface HardcodedValues {
-  name: any;
-  description: any;
-  value: any;
-  placeholder_values: any;
-  limit_to_placeholder_values: any;
-}
-
-export interface InputItem {
-  id: string;
-  type: "input";
-  inputSchema: BlockIORootSchema;
-  hardcodedValues: HardcodedValues;
-}
+import { CustomNodeData } from "@/components/CustomNode";
+import { RunnerInputDialog } from "@/components/runner-ui/RunnerInputUI";
+import {
+  BlockUIType,
+  CredentialsMetaInput,
+  GraphMeta,
+} from "@/lib/autogpt-server-api/types";
+import RunnerOutputUI, {
+  OutputNodeInfo,
+} from "@/components/runner-ui/RunnerOutputUI";
 
 interface RunnerUIWrapperProps {
-  nodes: Node[];
-  setNodes: React.Dispatch<React.SetStateAction<Node[]>>;
-  setIsScheduling: React.Dispatch<React.SetStateAction<boolean>>;
-  isRunning: boolean;
-  isScheduling: boolean;
-  requestSaveAndRun: () => void;
-  scheduleRunner: (cronExpression: string, input: InputItem[]) => Promise<void>;
+  graph: GraphMeta;
+  nodes: Node<CustomNodeData>[];
+  graphExecutionError?: string | null;
+  saveAndRun: (
+    inputs: Record<string, any>,
+    credentialsInputs: Record<string, CredentialsMetaInput>,
+  ) => void;
+  createRunSchedule: (
+    cronExpression: string,
+    scheduleName: string,
+    inputs: Record<string, any>,
+    credentialsInputs: Record<string, CredentialsMetaInput>,
+  ) => Promise<void>;
 }
 
 export interface RunnerUIWrapperRef {
-  openRunnerInput: () => void;
+  openRunInputDialog: () => void;
   openRunnerOutput: () => void;
   runOrOpenInput: () => void;
-  collectInputsForScheduling: (cronExpression: string) => void;
 }
 
 const RunnerUIWrapper = forwardRef<RunnerUIWrapperRef, RunnerUIWrapperProps>(
   (
-    {
-      nodes,
-      setIsScheduling,
-      setNodes,
-      isScheduling,
-      isRunning,
-      requestSaveAndRun,
-      scheduleRunner,
-    },
+    { graph, nodes, graphExecutionError, saveAndRun, createRunSchedule },
     ref,
   ) => {
-    const [isRunnerInputOpen, setIsRunnerInputOpen] = useState(false);
+    const [isRunInputDialogOpen, setIsRunInputDialogOpen] = useState(false);
     const [isRunnerOutputOpen, setIsRunnerOutputOpen] = useState(false);
-    const [scheduledInput, setScheduledInput] = useState(false);
-    const [cronExpression, setCronExpression] = useState("");
-    const getBlockInputsAndOutputs = useCallback(() => {
-      const inputBlocks = filterBlocksByType(
-        nodes,
-        (node) => node.data.uiType === BlockUIType.INPUT,
-      );
 
-      const outputBlocks = filterBlocksByType(
-        nodes,
+    const graphInputs = graph.input_schema.properties;
+
+    const graphOutputs = useMemo((): OutputNodeInfo[] => {
+      const outputNodes = nodes.filter(
         (node) => node.data.uiType === BlockUIType.OUTPUT,
       );
 
-      const inputs = inputBlocks.map((node) => ({
-        id: node.id,
-        type: "input" as const,
-        inputSchema: node.data.inputSchema as BlockIORootSchema,
-        hardcodedValues: {
-          name: (node.data.hardcodedValues as any).name || "",
-          description: (node.data.hardcodedValues as any).description || "",
-          value: (node.data.hardcodedValues as any).value,
-          placeholder_values:
-            (node.data.hardcodedValues as any).placeholder_values || [],
-          limit_to_placeholder_values:
-            (node.data.hardcodedValues as any).limit_to_placeholder_values ||
-            false,
-        },
-      }));
-
-      const outputs = outputBlocks.map((node) => ({
-        id: node.id,
-        type: "output" as const,
-        hardcodedValues: {
-          name: (node.data.hardcodedValues as any).name || "Output",
-          description:
-            (node.data.hardcodedValues as any).description ||
-            "Output from the agent",
-          value: (node.data.hardcodedValues as any).value,
-        },
-        result: (node.data.executionResults as any)?.at(-1)?.data?.output,
-      }));
-
-      return { inputs, outputs };
+      return outputNodes.map(
+        (node) =>
+          ({
+            metadata: {
+              name: node.data.hardcodedValues.name || "Output",
+              description:
+                node.data.hardcodedValues.description ||
+                "Output from the agent",
+            },
+            result:
+              (node.data.executionResults as any)
+                ?.map((result: any) => result?.data?.output)
+                .join("\n--\n") || "No output yet",
+          }) satisfies OutputNodeInfo,
+      );
     }, [nodes]);
 
-    const handleInputChange = useCallback(
-      (nodeId: string, field: string, value: string) => {
-        setNodes((nds) =>
-          nds.map((node) => {
-            if (node.id === nodeId) {
-              return {
-                ...node,
-                data: {
-                  ...node.data,
-                  hardcodedValues: {
-                    ...(node.data.hardcodedValues as any),
-                    [field]: value,
-                  },
-                },
-              };
-            }
-            return node;
-          }),
-        );
-      },
-      [setNodes],
-    );
-
-    const openRunnerInput = () => setIsRunnerInputOpen(true);
+    const openRunInputDialog = () => setIsRunInputDialogOpen(true);
     const openRunnerOutput = () => setIsRunnerOutputOpen(true);
 
     const runOrOpenInput = () => {
-      const { inputs } = getBlockInputsAndOutputs();
-      if (inputs.length > 0) {
-        openRunnerInput();
-      } else {
-        requestSaveAndRun();
-      }
-    };
-
-    const collectInputsForScheduling = (cron_exp: string) => {
-      const { inputs } = getBlockInputsAndOutputs();
-      setCronExpression(cron_exp);
-
-      if (inputs.length > 0) {
-        setScheduledInput(true);
-        setIsRunnerInputOpen(true);
+      if (
+        Object.keys(graphInputs).length > 0 ||
+        Object.keys(graph.credentials_input_schema.properties).length > 0
+      ) {
+        openRunInputDialog();
       } else {
-        scheduleRunner(cron_exp, []);
+        saveAndRun({}, {});
       }
     };
 
-    useImperativeHandle(ref, () => ({
-      openRunnerInput,
-      openRunnerOutput,
-      runOrOpenInput,
-      collectInputsForScheduling,
-    }));
+    useImperativeHandle(
+      ref,
+      () =>
+        ({
+          openRunInputDialog,
+          openRunnerOutput,
+          runOrOpenInput,
+        }) satisfies RunnerUIWrapperRef,
+    );
 
     return (
       <>
-        <RunnerInputUI
-          isOpen={isRunnerInputOpen}
-          onClose={() => setIsRunnerInputOpen(false)}
-          blockInputs={getBlockInputsAndOutputs().inputs}
-          onInputChange={handleInputChange}
-          onRun={() => {
-            setIsRunnerInputOpen(false);
-            requestSaveAndRun();
-          }}
-          scheduledInput={scheduledInput}
-          isScheduling={isScheduling}
-          onSchedule={async () => {
-            setIsScheduling(true);
-            await scheduleRunner(
-              cronExpression,
-              getBlockInputsAndOutputs().inputs,
-            );
-            setIsScheduling(false);
-            setIsRunnerInputOpen(false);
-            setScheduledInput(false);
-          }}
-          isRunning={isRunning}
+        <RunnerInputDialog
+          isOpen={isRunInputDialogOpen}
+          doClose={() => setIsRunInputDialogOpen(false)}
+          graph={graph}
+          doRun={saveAndRun}
+          doCreateSchedule={createRunSchedule}
         />
         <RunnerOutputUI
           isOpen={isRunnerOutputOpen}
-          onClose={() => setIsRunnerOutputOpen(false)}
-          blockOutputs={getBlockInputsAndOutputs().outputs}
+          doClose={() => setIsRunnerOutputOpen(false)}
+          outputs={graphOutputs}
+          graphExecutionError={graphExecutionError}
         />
       </>
     );
diff --git a/autogpt_platform/frontend/src/components/SchemaTooltip.tsx b/autogpt_platform/frontend/src/components/SchemaTooltip.tsx
index 313b55cb6b79..b4010287bcf8 100644
--- a/autogpt_platform/frontend/src/components/SchemaTooltip.tsx
+++ b/autogpt_platform/frontend/src/components/SchemaTooltip.tsx
@@ -22,7 +22,7 @@ const SchemaTooltip: React.FC<{ description?: string }> = ({ description }) => {
         <TooltipContent className="tooltip-content max-w-xs bg-white text-gray-900 dark:bg-gray-800 dark:text-gray-100">
           <ReactMarkdown
             components={{
-              a: ({ node, ...props }) => (
+              a: ({ node: _, ...props }) => (
                 <a
                   target="_blank"
                   className="text-blue-400 underline dark:text-blue-300"
diff --git a/autogpt_platform/frontend/src/components/Spinner.tsx b/autogpt_platform/frontend/src/components/Spinner.tsx
deleted file mode 100644
index cb75a99ab112..000000000000
--- a/autogpt_platform/frontend/src/components/Spinner.tsx
+++ /dev/null
@@ -1,9 +0,0 @@
-import { FaSpinner } from "react-icons/fa";
-
-export default function Spinner() {
-  return (
-    <div className="flex h-[80vh] items-center justify-center">
-      <FaSpinner className="mr-2 h-16 w-16 animate-spin" />
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/TallyPopup.tsx b/autogpt_platform/frontend/src/components/TallyPopup.tsx
index 7e7543dd7dce..9b85b181fcd9 100644
--- a/autogpt_platform/frontend/src/components/TallyPopup.tsx
+++ b/autogpt_platform/frontend/src/components/TallyPopup.tsx
@@ -56,12 +56,12 @@ const TallyPopupSimple = () => {
   };
 
   return (
-    <div className="fixed bottom-1 right-6 z-50 hidden select-none items-center gap-4 p-3 transition-all duration-300 ease-in-out md:flex">
+    <div className="fixed bottom-1 right-24 z-20 hidden select-none items-center gap-4 p-3 transition-all duration-300 ease-in-out md:flex">
       {show_tutorial && (
         <Button
           variant="default"
           onClick={resetTutorial}
-          className="font-inter mb-0 h-14 w-28 rounded-2xl bg-[rgba(65,65,64,1)] text-left text-lg font-medium leading-6"
+          className="mb-0 h-14 w-28 rounded-2xl bg-[rgba(65,65,64,1)] text-left font-sans text-lg font-medium leading-6"
         >
           Tutorial
         </Button>
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/AdminAddFeaturedAgentDialog.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/AdminAddFeaturedAgentDialog.tsx
deleted file mode 100644
index 75e4ff128295..000000000000
--- a/autogpt_platform/frontend/src/components/admin/marketplace/AdminAddFeaturedAgentDialog.tsx
+++ /dev/null
@@ -1,149 +0,0 @@
-// "use client";
-
-// import {
-//   Dialog,
-//   DialogContent,
-//   DialogClose,
-//   DialogFooter,
-//   DialogHeader,
-//   DialogTitle,
-//   DialogTrigger,
-// } from "@/components/ui/dialog";
-// import { Button } from "@/components/ui/button";
-// import {
-//   MultiSelector,
-//   MultiSelectorContent,
-//   MultiSelectorInput,
-//   MultiSelectorItem,
-//   MultiSelectorList,
-//   MultiSelectorTrigger,
-// } from "@/components/ui/multiselect";
-// import { Controller, useForm } from "react-hook-form";
-// import {
-//   Select,
-//   SelectContent,
-//   SelectItem,
-//   SelectTrigger,
-//   SelectValue,
-// } from "@/components/ui/select";
-// import { useState } from "react";
-// import { addFeaturedAgent } from "./actions";
-// import { Agent } from "@/lib/marketplace-api/types";
-
-// type FormData = {
-//   agent: string;
-//   categories: string[];
-// };
-
-// export const AdminAddFeaturedAgentDialog = ({
-//   categories,
-//   agents,
-// }: {
-//   categories: string[];
-//   agents: Agent[];
-// }) => {
-//   const [selectedAgent, setSelectedAgent] = useState<string>("");
-//   const [selectedCategories, setSelectedCategories] = useState<string[]>([]);
-
-//   const {
-//     control,
-//     handleSubmit,
-//     watch,
-//     setValue,
-//     formState: { errors },
-//   } = useForm<FormData>({
-//     defaultValues: {
-//       agent: "",
-//       categories: [],
-//     },
-//   });
-
-//   return (
-//     <Dialog>
-//       <DialogTrigger asChild>
-//         <Button variant="outline" size="sm">
-//           Add Featured Agent
-//         </Button>
-//       </DialogTrigger>
-//       <DialogContent>
-//         <DialogHeader>
-//           <DialogTitle>Add Featured Agent</DialogTitle>
-//         </DialogHeader>
-//         <div className="flex flex-col gap-4">
-//           <Controller
-//             name="agent"
-//             control={control}
-//             rules={{ required: true }}
-//             render={({ field }) => (
-//               <div>
-//                 <label htmlFor={field.name}>Agent</label>
-//                 <Select
-//                   onValueChange={(value) => {
-//                     field.onChange(value);
-//                     setSelectedAgent(value);
-//                   }}
-//                   value={field.value || ""}
-//                 >
-//                   <SelectTrigger>
-//                     <SelectValue placeholder="Select an agent" />
-//                   </SelectTrigger>
-//                   <SelectContent>
-//                     {/* Populate with agents */}
-//                     {agents.map((agent) => (
-//                       <SelectItem key={agent.id} value={agent.id}>
-//                         {agent.name}
-//                       </SelectItem>
-//                     ))}
-//                   </SelectContent>
-//                 </Select>
-//               </div>
-//             )}
-//           />
-//           <Controller
-//             name="categories"
-//             control={control}
-//             render={({ field }) => (
-//               <MultiSelector
-//                 values={field.value || []}
-//                 onValuesChange={(values) => {
-//                   field.onChange(values);
-//                   setSelectedCategories(values);
-//                 }}
-//               >
-//                 <MultiSelectorTrigger>
-//                   <MultiSelectorInput placeholder="Select categories" />
-//                 </MultiSelectorTrigger>
-//                 <MultiSelectorContent>
-//                   <MultiSelectorList>
-//                     {categories.map((category) => (
-//                       <MultiSelectorItem key={category} value={category}>
-//                         {category}
-//                       </MultiSelectorItem>
-//                     ))}
-//                   </MultiSelectorList>
-//                 </MultiSelectorContent>
-//               </MultiSelector>
-//             )}
-//           />
-//         </div>
-//         <DialogFooter>
-//           <DialogClose asChild>
-//             <Button variant="outline">Cancel</Button>
-//           </DialogClose>
-//           <DialogClose asChild>
-//             <Button
-//               type="submit"
-//               onClick={async () => {
-//                 // Handle adding the featured agent
-//                 await addFeaturedAgent(selectedAgent, selectedCategories);
-//                 // close the dialog
-//               }}
-//             >
-//               Add
-//             </Button>
-//           </DialogClose>
-//         </DialogFooter>
-//       </DialogContent>
-//     </Dialog>
-//   );
-// };
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/AdminFeaturedAgentsControl.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/AdminFeaturedAgentsControl.tsx
deleted file mode 100644
index 51b158a162af..000000000000
--- a/autogpt_platform/frontend/src/components/admin/marketplace/AdminFeaturedAgentsControl.tsx
+++ /dev/null
@@ -1,74 +0,0 @@
-// import { Button } from "@/components/ui/button";
-// import {
-//   getFeaturedAgents,
-//   removeFeaturedAgent,
-//   getCategories,
-//   getNotFeaturedAgents,
-// } from "./actions";
-
-// import FeaturedAgentsTable from "./FeaturedAgentsTable";
-// import { AdminAddFeaturedAgentDialog } from "./AdminAddFeaturedAgentDialog";
-// import { revalidatePath } from "next/cache";
-// import * as Sentry from "@sentry/nextjs";
-
-// export default async function AdminFeaturedAgentsControl({
-//   className,
-// }: {
-//   className?: string;
-// }) {
-//   // add featured agent button
-//   //   modal to select agent?
-//   //   modal to select categories?
-//   // table of featured agents
-//   // in table
-//   //    remove featured agent button
-//   //    edit featured agent categories button
-//   // table footer
-//   //    Next page button
-//   //    Previous page button
-//   //    Page number input
-//   //    Page size input
-//   //    Total pages input
-//   //    Go to page button
-
-//   const page = 1;
-//   const pageSize = 10;
-
-//   const agents = await getFeaturedAgents(page, pageSize);
-
-//   const categories = await getCategories();
-
-//   const notFeaturedAgents = await getNotFeaturedAgents();
-
-//   return (
-//     <div className={`flex flex-col gap-4 ${className}`}>
-//       <div className="mb-4 flex justify-between">
-//         <h3 className="text-lg font-semibold">Featured Agent Controls</h3>
-//         <AdminAddFeaturedAgentDialog
-//           categories={categories.unique_categories}
-//           agents={notFeaturedAgents.items}
-//         />
-//       </div>
-//       <FeaturedAgentsTable
-//         agents={agents.items}
-//         globalActions={[
-//           {
-//             component: <Button>Remove</Button>,
-//             action: async (rows) => {
-//               "use server";
-//               return await Sentry.withServerActionInstrumentation(
-//                 "removeFeaturedAgent",
-//                 {},
-//                 async () => {
-//                   const all = rows.map((row) => removeFeaturedAgent(row.id));
-//                   await Promise.all(all);
-//                   revalidatePath("/marketplace");
-//                 },
-//               );
-//             },
-//           },
-//         ]}
-//       />
-//     </div>
-//   );
-// }
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/AdminMarketplaceAgentList.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/AdminMarketplaceAgentList.tsx
deleted file mode 100644
index 63ae9902c4e8..000000000000
--- a/autogpt_platform/frontend/src/components/admin/marketplace/AdminMarketplaceAgentList.tsx
+++ /dev/null
@@ -1,36 +0,0 @@
-// import { Agent } from "@/lib/marketplace-api";
-// import AdminMarketplaceCard from "./AdminMarketplaceCard";
-// import { ClipboardX } from "lucide-react";
-
-// export default function AdminMarketplaceAgentList({
-//   agents,
-//   className,
-// }: {
-//   agents: Agent[];
-//   className?: string;
-// }) {
-//   if (agents.length === 0) {
-//     return (
-//       <div className={className}>
-//         <h3 className="text-lg font-semibold">Agents to review</h3>
-//         <div className="flex flex-col items-center justify-center py-12 text-gray-500">
-//           <ClipboardX size={48} />
-//           <p className="mt-4 text-lg font-semibold">No agents to review</p>
-//         </div>
-//       </div>
-//     );
-//   }
-
-//   return (
-//     <div className={`flex flex-col gap-4 ${className}`}>
-//       <div>
-//         <h3 className="text-lg font-semibold">Agents to review</h3>
-//       </div>
-//       <div className="flex flex-col gap-4">
-//         {agents.map((agent) => (
-//           <AdminMarketplaceCard agent={agent} key={agent.id} />
-//         ))}
-//       </div>
-//     </div>
-//   );
-// }
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/AdminMarketplaceCard.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/AdminMarketplaceCard.tsx
deleted file mode 100644
index 2861502d8a2d..000000000000
--- a/autogpt_platform/frontend/src/components/admin/marketplace/AdminMarketplaceCard.tsx
+++ /dev/null
@@ -1,113 +0,0 @@
-// "use client";
-// import { Card } from "@/components/ui/card";
-// import { Button } from "@/components/ui/button";
-// import { Badge } from "@/components/ui/badge";
-// import { ScrollArea } from "@/components/ui/scroll-area";
-// import { approveAgent, rejectAgent } from "./actions";
-// import { Agent } from "@/lib/marketplace-api";
-// import Link from "next/link";
-// import { useState } from "react";
-// import { Input } from "@/components/ui/input";
-
-// function AdminMarketplaceCard({ agent }: { agent: Agent }) {
-//   const [isApproved, setIsApproved] = useState(false);
-//   const [isRejected, setIsRejected] = useState(false);
-//   const [comment, setComment] = useState("");
-
-//   const approveAgentWithId = approveAgent.bind(
-//     null,
-//     agent.id,
-//     agent.version,
-//     comment,
-//   );
-//   const rejectAgentWithId = rejectAgent.bind(
-//     null,
-//     agent.id,
-//     agent.version,
-//     comment,
-//   );
-
-//   const handleApprove = async (e: React.FormEvent) => {
-//     e.preventDefault();
-//     await approveAgentWithId();
-//     setIsApproved(true);
-//   };
-
-//   const handleReject = async (e: React.FormEvent) => {
-//     e.preventDefault();
-//     await rejectAgentWithId();
-//     setIsRejected(true);
-//   };
-
-//   return (
-//     <>
-//       {!isApproved && !isRejected && (
-//         <Card key={agent.id} className="m-3 flex h-[300px] flex-col p-4">
-//           <div className="mb-2 flex items-start justify-between">
-//             <Link
-//               href={`/marketplace/${agent.id}`}
-//               className="text-lg font-semibold hover:underline"
-//             >
-//               {agent.name}
-//             </Link>
-//             <Badge variant="outline">v{agent.version}</Badge>
-//           </div>
-//           <p className="mb-2 text-sm text-gray-500">by {agent.author}</p>
-//           <ScrollArea className="flex-grow">
-//             <p className="mb-2 text-sm text-gray-600">{agent.description}</p>
-//             <div className="mb-2 flex flex-wrap gap-1">
-//               {agent.categories.map((category) => (
-//                 <Badge key={category} variant="secondary">
-//                   {category}
-//                 </Badge>
-//               ))}
-//             </div>
-//             <div className="flex flex-wrap gap-1">
-//               {agent.keywords.map((keyword) => (
-//                 <Badge key={keyword} variant="outline">
-//                   {keyword}
-//                 </Badge>
-//               ))}
-//             </div>
-//           </ScrollArea>
-//           <div className="mb-2 flex justify-between text-xs text-gray-500">
-//             <span>
-//               Created: {new Date(agent.createdAt).toLocaleDateString()}
-//             </span>
-//             <span>
-//               Updated: {new Date(agent.updatedAt).toLocaleDateString()}
-//             </span>
-//           </div>
-//           <div className="mb-4 flex justify-between text-sm">
-//             <span>👁 {agent.views}</span>
-//             <span>⬇️ {agent.downloads}</span>
-//           </div>
-//           <div className="mt-auto space-y-2">
-//             <div className="flex justify-end space-x-2">
-//               <Input
-//                 type="text"
-//                 placeholder="Add a comment (optional)"
-//                 value={comment}
-//                 onChange={(e) => setComment(e.target.value)}
-//               />
-//               {!isRejected && (
-//                 <form onSubmit={handleReject}>
-//                   <Button variant="outline" type="submit">
-//                     Reject
-//                   </Button>
-//                 </form>
-//               )}
-//               {!isApproved && (
-//                 <form onSubmit={handleApprove}>
-//                   <Button type="submit">Approve</Button>
-//                 </form>
-//               )}
-//             </div>
-//           </div>
-//         </Card>
-//       )}
-//     </>
-//   );
-// }
-
-// export default AdminMarketplaceCard;
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/FeaturedAgentsTable.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/FeaturedAgentsTable.tsx
deleted file mode 100644
index c25720963e4d..000000000000
--- a/autogpt_platform/frontend/src/components/admin/marketplace/FeaturedAgentsTable.tsx
+++ /dev/null
@@ -1,114 +0,0 @@
-// "use client";
-
-// import { Button } from "@/components/ui/button";
-// import { Checkbox } from "@/components/ui/checkbox";
-// import { DataTable } from "@/components/ui/data-table";
-// import { Agent } from "@/lib/marketplace-api";
-// import { ColumnDef } from "@tanstack/react-table";
-// import { ArrowUpDown } from "lucide-react";
-// import { removeFeaturedAgent } from "./actions";
-// import { GlobalActions } from "@/components/ui/data-table";
-
-// export const columns: ColumnDef<Agent>[] = [
-//   {
-//     id: "select",
-//     header: ({ table }) => (
-//       <Checkbox
-//         checked={
-//           table.getIsAllPageRowsSelected() ||
-//           (table.getIsSomePageRowsSelected() && "indeterminate")
-//         }
-//         onCheckedChange={(value) => table.toggleAllPageRowsSelected(!!value)}
-//         aria-label="Select all"
-//       />
-//     ),
-//     cell: ({ row }) => (
-//       <Checkbox
-//         checked={row.getIsSelected()}
-//         onCheckedChange={(value) => row.toggleSelected(!!value)}
-//         aria-label="Select row"
-//       />
-//     ),
-//   },
-//   {
-//     header: ({ column }) => {
-//       return (
-//         <Button
-//           variant="ghost"
-//           onClick={() => column.toggleSorting(column.getIsSorted() === "asc")}
-//         >
-//           Name
-//           <ArrowUpDown className="ml-2 h-4 w-4" />
-//         </Button>
-//       );
-//     },
-//     accessorKey: "name",
-//   },
-//   {
-//     header: "Description",
-//     accessorKey: "description",
-//   },
-//   {
-//     header: "Categories",
-//     accessorKey: "categories",
-//   },
-//   {
-//     header: "Keywords",
-//     accessorKey: "keywords",
-//   },
-//   {
-//     header: "Downloads",
-//     accessorKey: "downloads",
-//   },
-//   {
-//     header: "Author",
-//     accessorKey: "author",
-//   },
-//   {
-//     header: "Version",
-//     accessorKey: "version",
-//   },
-//   {
-//     header: "actions",
-//     cell: ({ row }) => {
-//       const handleRemove = async () => {
-//         await removeFeaturedAgentWithId();
-//       };
-//       // const handleEdit = async () => {
-//       //   console.log("edit");
-//       // };
-//       const removeFeaturedAgentWithId = removeFeaturedAgent.bind(
-//         null,
-//         row.original.id,
-//       );
-//       return (
-//         <div className="flex justify-end gap-2">
-//           <Button variant="outline" size="sm" onClick={handleRemove}>
-//             Remove
-//           </Button>
-//           {/* <Button variant="outline" size="sm" onClick={handleEdit}>
-//             Edit
-//           </Button> */}
-//         </div>
-//       );
-//     },
-//   },
-// ];
-
-// export default function FeaturedAgentsTable({
-//   agents,
-//   globalActions,
-// }: {
-//   agents: Agent[];
-//   globalActions: GlobalActions<Agent>[];
-// }) {
-//   return (
-//     <DataTable
-//       columns={columns}
-//       data={agents}
-//       filterPlaceholder="Search agents..."
-//       filterColumn="name"
-//       globalActions={globalActions}
-//     />
-//   );
-// }
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/actions.ts b/autogpt_platform/frontend/src/components/admin/marketplace/actions.ts
deleted file mode 100644
index 8a453335c775..000000000000
--- a/autogpt_platform/frontend/src/components/admin/marketplace/actions.ts
+++ /dev/null
@@ -1,165 +0,0 @@
-// "use server";
-// import MarketplaceAPI from "@/lib/marketplace-api";
-// import ServerSideMarketplaceAPI from "@/lib/marketplace-api/server-client";
-// import { revalidatePath } from "next/cache";
-// import * as Sentry from "@sentry/nextjs";
-// import { redirect } from "next/navigation";
-
-// export async function checkAuth() {
-//     const supabase = getServerSupabase();
-//     if (!supabase) {
-//       console.error("No supabase client");
-//       redirect("/login");
-//     }
-//     const { data, error } = await supabase.auth.getUser();
-//     if (error || !data?.user) {
-//       redirect("/login");
-//     }
-//   }
-
-// export async function approveAgent(
-//   agentId: string,
-//   version: number,
-//   comment: string,
-// ) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "approveAgent",
-//     {},
-//     async () => {
-//       await checkAuth();
-
-//       const api = new ServerSideMarketplaceAPI();
-//       await api.approveAgentSubmission(agentId, version, comment);
-//       console.debug(`Approving agent ${agentId}`);
-//       revalidatePath("/marketplace");
-//     },
-//   );
-// }
-
-// export async function rejectAgent(
-//   agentId: string,
-//   version: number,
-//   comment: string,
-// ) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "rejectAgent",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       await api.rejectAgentSubmission(agentId, version, comment);
-//       console.debug(`Rejecting agent ${agentId}`);
-//       revalidatePath("/marketplace");
-//     },
-//   );
-// }
-
-// export async function getReviewableAgents() {
-//   return await Sentry.withServerActionInstrumentation(
-//     "getReviewableAgents",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       return api.getAgentSubmissions();
-//     },
-//   );
-// }
-
-// export async function getFeaturedAgents(
-//   page: number = 1,
-//   pageSize: number = 10,
-// ) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "getFeaturedAgents",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       const featured = await api.getFeaturedAgents(page, pageSize);
-//       console.debug(`Getting featured agents ${featured.items.length}`);
-//       return featured;
-//     },
-//   );
-// }
-
-// export async function getFeaturedAgent(agentId: string) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "getFeaturedAgent",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       const featured = await api.getFeaturedAgent(agentId);
-//       console.debug(`Getting featured agent ${featured.agentId}`);
-//       return featured;
-//     },
-//   );
-// }
-
-// export async function addFeaturedAgent(
-//   agentId: string,
-//   categories: string[] = ["featured"],
-// ) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "addFeaturedAgent",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       await api.addFeaturedAgent(agentId, categories);
-//       console.debug(`Adding featured agent ${agentId}`);
-//       revalidatePath("/marketplace");
-//     },
-//   );
-// }
-
-// export async function removeFeaturedAgent(
-//   agentId: string,
-//   categories: string[] = ["featured"],
-// ) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "removeFeaturedAgent",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       await api.removeFeaturedAgent(agentId, categories);
-//       console.debug(`Removing featured agent ${agentId}`);
-//       revalidatePath("/marketplace");
-//     },
-//   );
-// }
-
-// export async function getCategories() {
-//   return await Sentry.withServerActionInstrumentation(
-//     "getCategories",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       const categories = await api.getCategories();
-//       console.debug(
-//         `Getting categories ${categories.unique_categories.length}`,
-//       );
-//       return categories;
-//     },
-//   );
-// }
-
-// export async function getNotFeaturedAgents(
-//   page: number = 1,
-//   pageSize: number = 100,
-// ) {
-//   return await Sentry.withServerActionInstrumentation(
-//     "getNotFeaturedAgents",
-//     {},
-//     async () => {
-//       await checkAuth();
-//       const api = new ServerSideMarketplaceAPI();
-//       const agents = await api.getNotFeaturedAgents(page, pageSize);
-//       console.debug(`Getting not featured agents ${agents.items.length}`);
-//       return agents;
-//     },
-//   );
-// }
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/admin-agents-data-table.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/admin-agents-data-table.tsx
new file mode 100644
index 000000000000..660545265409
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/marketplace/admin-agents-data-table.tsx
@@ -0,0 +1,99 @@
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
+import {
+  StoreSubmission,
+  SubmissionStatus,
+} from "@/lib/autogpt-server-api/types";
+import { PaginationControls } from "../../ui/pagination-controls";
+import { getAdminListingsWithVersions } from "@/app/(platform)/admin/marketplace/actions";
+import { ExpandableRow } from "./expandable-row";
+import { SearchAndFilterAdminMarketplace } from "./search-filter-form";
+
+// Helper function to get the latest version by version number
+const getLatestVersionByNumber = (
+  versions: StoreSubmission[],
+): StoreSubmission | null => {
+  if (!versions || versions.length === 0) return null;
+  return versions.reduce(
+    (latest, current) =>
+      (current.version ?? 0) > (latest.version ?? 1) ? current : latest,
+    versions[0],
+  );
+};
+
+export async function AdminAgentsDataTable({
+  initialPage = 1,
+  initialStatus,
+  initialSearch,
+}: {
+  initialPage?: number;
+  initialStatus?: SubmissionStatus;
+  initialSearch?: string;
+}) {
+  // Server-side data fetching
+  const { listings, pagination } = await getAdminListingsWithVersions(
+    initialStatus,
+    initialSearch,
+    initialPage,
+    10,
+  );
+
+  return (
+    <div className="space-y-4">
+      <SearchAndFilterAdminMarketplace
+        initialStatus={initialStatus}
+        initialSearch={initialSearch}
+      />
+
+      <div className="rounded-md border">
+        <Table>
+          <TableHeader>
+            <TableRow>
+              <TableHead className="w-10"></TableHead>
+              <TableHead>Name</TableHead>
+              <TableHead>Creator</TableHead>
+              <TableHead>Description</TableHead>
+              <TableHead>Status</TableHead>
+              <TableHead>Submitted</TableHead>
+              <TableHead className="text-right">Actions</TableHead>
+            </TableRow>
+          </TableHeader>
+          <TableBody>
+            {listings.length === 0 ? (
+              <TableRow>
+                <TableCell colSpan={7} className="py-10 text-center">
+                  No submissions found
+                </TableCell>
+              </TableRow>
+            ) : (
+              listings.map((listing) => {
+                const latestVersion = getLatestVersionByNumber(
+                  listing.versions,
+                );
+
+                return (
+                  <ExpandableRow
+                    key={listing.listing_id}
+                    listing={listing}
+                    latestVersion={latestVersion}
+                  />
+                );
+              })
+            )}
+          </TableBody>
+        </Table>
+      </div>
+
+      <PaginationControls
+        currentPage={initialPage}
+        totalPages={pagination.total_pages}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/approve-reject-buttons.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/approve-reject-buttons.tsx
new file mode 100644
index 000000000000..a2ac8deb942d
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/marketplace/approve-reject-buttons.tsx
@@ -0,0 +1,186 @@
+"use client";
+
+import { useState } from "react";
+import { Button } from "@/components/ui/button";
+import { CheckCircle, XCircle } from "lucide-react";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+  DialogFooter,
+} from "@/components/ui/dialog";
+import { Label } from "@/components/ui/label";
+import { Textarea } from "@/components/ui/textarea";
+import type { StoreSubmission } from "@/lib/autogpt-server-api/types";
+import { useRouter } from "next/navigation";
+import {
+  approveAgent,
+  rejectAgent,
+} from "@/app/(platform)/admin/marketplace/actions";
+
+export function ApproveRejectButtons({
+  version,
+}: {
+  version: StoreSubmission;
+}) {
+  const router = useRouter();
+  const [isApproveDialogOpen, setIsApproveDialogOpen] = useState(false);
+  const [isRejectDialogOpen, setIsRejectDialogOpen] = useState(false);
+
+  const isApproved = version.status === "APPROVED";
+
+  const handleApproveSubmit = async (formData: FormData) => {
+    setIsApproveDialogOpen(false);
+    try {
+      await approveAgent(formData);
+      router.refresh(); // Refresh the current route
+    } catch (error) {
+      console.error("Error approving agent:", error);
+    }
+  };
+
+  const handleRejectSubmit = async (formData: FormData) => {
+    setIsRejectDialogOpen(false);
+    try {
+      await rejectAgent(formData);
+      router.refresh(); // Refresh the current route
+    } catch (error) {
+      console.error("Error rejecting agent:", error);
+    }
+  };
+
+  return (
+    <>
+      {!isApproved && (
+        <Button
+          size="sm"
+          variant="outline"
+          className="text-green-600 hover:bg-green-50 hover:text-green-700"
+          onClick={(e) => {
+            e.stopPropagation();
+            setIsApproveDialogOpen(true);
+          }}
+        >
+          <CheckCircle className="mr-2 h-4 w-4" />
+          Approve
+        </Button>
+      )}
+      <Button
+        size="sm"
+        variant="outline"
+        className="text-red-600 hover:bg-red-50 hover:text-red-700"
+        onClick={(e) => {
+          e.stopPropagation();
+          setIsRejectDialogOpen(true);
+        }}
+      >
+        <XCircle className="mr-2 h-4 w-4" />
+        {isApproved ? "Revoke" : "Reject"}
+      </Button>
+
+      {/* Approve Dialog */}
+      <Dialog open={isApproveDialogOpen} onOpenChange={setIsApproveDialogOpen}>
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>Approve Agent</DialogTitle>
+            <DialogDescription>
+              Are you sure you want to approve this agent? This will make it
+              available in the marketplace.
+            </DialogDescription>
+          </DialogHeader>
+
+          <form action={handleApproveSubmit}>
+            <input
+              type="hidden"
+              name="id"
+              value={version.store_listing_version_id || ""}
+            />
+
+            <div className="grid gap-4 py-4">
+              <div className="grid gap-2">
+                <Label htmlFor="comments">Comments (Optional)</Label>
+                <Textarea
+                  id="comments"
+                  name="comments"
+                  placeholder="Add any comments for the agent creator"
+                  defaultValue="Meets all requirements"
+                />
+              </div>
+            </div>
+
+            <DialogFooter>
+              <Button
+                type="button"
+                variant="outline"
+                onClick={() => setIsApproveDialogOpen(false)}
+              >
+                Cancel
+              </Button>
+              <Button type="submit">Approve</Button>
+            </DialogFooter>
+          </form>
+        </DialogContent>
+      </Dialog>
+
+      {/* Reject Dialog */}
+      <Dialog open={isRejectDialogOpen} onOpenChange={setIsRejectDialogOpen}>
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>
+              {isApproved ? "Revoke Approved Agent" : "Reject Agent"}
+            </DialogTitle>
+            <DialogDescription>
+              {isApproved
+                ? "Are you sure you want to revoke approval for this agent? This will remove it from the marketplace."
+                : "Please provide feedback on why this agent is being rejected."}
+            </DialogDescription>
+          </DialogHeader>
+
+          <form action={handleRejectSubmit}>
+            <input
+              type="hidden"
+              name="id"
+              value={version.store_listing_version_id || ""}
+            />
+
+            <div className="grid gap-4 py-4">
+              <div className="grid gap-2">
+                <Label htmlFor="comments">Comments for Creator</Label>
+                <Textarea
+                  id="comments"
+                  name="comments"
+                  placeholder="Provide feedback for the agent creator"
+                  required
+                />
+              </div>
+
+              <div className="grid gap-2">
+                <Label htmlFor="internal_comments">Internal Comments</Label>
+                <Textarea
+                  id="internal_comments"
+                  name="internal_comments"
+                  placeholder="Add any internal notes (not visible to creator)"
+                />
+              </div>
+            </div>
+
+            <DialogFooter>
+              <Button
+                type="button"
+                variant="outline"
+                onClick={() => setIsRejectDialogOpen(false)}
+              >
+                Cancel
+              </Button>
+              <Button type="submit" variant="destructive">
+                {isApproved ? "Revoke" : "Reject"}
+              </Button>
+            </DialogFooter>
+          </form>
+        </DialogContent>
+      </Dialog>
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/download-agent-button.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/download-agent-button.tsx
new file mode 100644
index 000000000000..bb1dfac958fa
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/marketplace/download-agent-button.tsx
@@ -0,0 +1,58 @@
+"use client";
+
+import { downloadAsAdmin } from "@/app/(platform)/admin/marketplace/actions";
+import { Button } from "@/components/ui/button";
+import { ExternalLink } from "lucide-react";
+import { useState } from "react";
+
+export function DownloadAgentAdminButton({
+  storeListingVersionId,
+}: {
+  storeListingVersionId: string;
+}) {
+  const [isLoading, setIsLoading] = useState(false);
+
+  const handleDownload = async () => {
+    try {
+      setIsLoading(true);
+      // Call the server action to get the data
+      const fileData = await downloadAsAdmin(storeListingVersionId);
+
+      // Client-side download logic
+      const jsonData = JSON.stringify(fileData, null, 2);
+      const blob = new Blob([jsonData], { type: "application/json" });
+
+      // Create a temporary URL for the Blob
+      const url = window.URL.createObjectURL(blob);
+
+      // Create a temporary anchor element
+      const a = document.createElement("a");
+      a.href = url;
+      a.download = `agent_${storeListingVersionId}.json`;
+
+      // Append the anchor to the body, click it, and remove it
+      document.body.appendChild(a);
+      a.click();
+      document.body.removeChild(a);
+
+      // Revoke the temporary URL
+      window.URL.revokeObjectURL(url);
+    } catch (error) {
+      console.error("Download failed:", error);
+    } finally {
+      setIsLoading(false);
+    }
+  };
+
+  return (
+    <Button
+      size="sm"
+      variant="outline"
+      onClick={handleDownload}
+      disabled={isLoading}
+    >
+      <ExternalLink className="mr-2 h-4 w-4" />
+      {isLoading ? "Downloading..." : "Download"}
+    </Button>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/expandable-row.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/expandable-row.tsx
new file mode 100644
index 000000000000..e1f936da5b6c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/marketplace/expandable-row.tsx
@@ -0,0 +1,208 @@
+"use client";
+
+import { useState } from "react";
+import {
+  TableRow,
+  TableCell,
+  Table,
+  TableHeader,
+  TableHead,
+  TableBody,
+} from "@/components/ui/table";
+import { Badge } from "@/components/ui/badge";
+import { ChevronDown, ChevronRight } from "lucide-react";
+import { formatDistanceToNow } from "date-fns";
+import {
+  type StoreListingWithVersions,
+  type StoreSubmission,
+  SubmissionStatus,
+} from "@/lib/autogpt-server-api/types";
+import { ApproveRejectButtons } from "./approve-reject-buttons";
+import { DownloadAgentAdminButton } from "./download-agent-button";
+
+// Moved the getStatusBadge function into the client component
+const getStatusBadge = (status: SubmissionStatus) => {
+  switch (status) {
+    case SubmissionStatus.PENDING:
+      return <Badge className="bg-amber-500">Pending</Badge>;
+    case SubmissionStatus.APPROVED:
+      return <Badge className="bg-green-500">Approved</Badge>;
+    case SubmissionStatus.REJECTED:
+      return <Badge className="bg-red-500">Rejected</Badge>;
+    default:
+      return <Badge className="bg-gray-500">Draft</Badge>;
+  }
+};
+
+export function ExpandableRow({
+  listing,
+  latestVersion,
+}: {
+  listing: StoreListingWithVersions;
+  latestVersion: StoreSubmission | null;
+}) {
+  const [expanded, setExpanded] = useState(false);
+
+  return (
+    <>
+      <TableRow className="cursor-pointer hover:bg-muted/50">
+        <TableCell onClick={() => setExpanded(!expanded)}>
+          {expanded ? (
+            <ChevronDown className="h-4 w-4" />
+          ) : (
+            <ChevronRight className="h-4 w-4" />
+          )}
+        </TableCell>
+        <TableCell
+          className="font-medium"
+          onClick={() => setExpanded(!expanded)}
+        >
+          {latestVersion?.name || "Unnamed Agent"}
+        </TableCell>
+        <TableCell onClick={() => setExpanded(!expanded)}>
+          {listing.creator_email || "Unknown"}
+        </TableCell>
+        <TableCell onClick={() => setExpanded(!expanded)}>
+          {latestVersion?.sub_heading || "No description"}
+        </TableCell>
+        <TableCell onClick={() => setExpanded(!expanded)}>
+          {latestVersion?.status && getStatusBadge(latestVersion.status)}
+        </TableCell>
+        <TableCell onClick={() => setExpanded(!expanded)}>
+          {latestVersion?.date_submitted
+            ? formatDistanceToNow(new Date(latestVersion.date_submitted), {
+                addSuffix: true,
+              })
+            : "Unknown"}
+        </TableCell>
+        <TableCell className="text-right">
+          <div className="flex justify-end gap-2">
+            {latestVersion?.store_listing_version_id && (
+              <DownloadAgentAdminButton
+                storeListingVersionId={latestVersion.store_listing_version_id}
+              />
+            )}
+
+            {(latestVersion?.status === SubmissionStatus.PENDING ||
+              latestVersion?.status === SubmissionStatus.APPROVED) && (
+              <ApproveRejectButtons version={latestVersion} />
+            )}
+          </div>
+        </TableCell>
+      </TableRow>
+
+      {/* Expanded version history */}
+      {expanded && (
+        <TableRow>
+          <TableCell colSpan={7} className="border-t-0 p-0">
+            <div className="bg-muted/30 px-4 py-3">
+              <h4 className="mb-2 text-sm font-semibold">Version History</h4>
+              <Table>
+                <TableHeader>
+                  <TableRow>
+                    <TableHead>Version</TableHead>
+                    <TableHead>Status</TableHead>
+                    {/* <TableHead>Changes</TableHead> */}
+                    <TableHead>Submitted</TableHead>
+                    <TableHead>Reviewed</TableHead>
+                    <TableHead>External Comments</TableHead>
+                    <TableHead>Internal Comments</TableHead>
+                    <TableHead>Name</TableHead>
+                    <TableHead>Sub Heading</TableHead>
+                    <TableHead>Description</TableHead>
+                    {/* <TableHead>Categories</TableHead> */}
+                    <TableHead className="text-right">Actions</TableHead>
+                  </TableRow>
+                </TableHeader>
+                <TableBody>
+                  {listing.versions
+                    .sort((a, b) => (b.version ?? 1) - (a.version ?? 0))
+                    .map((version) => (
+                      <TableRow key={version.store_listing_version_id}>
+                        <TableCell>
+                          v{version.version || "?"}
+                          {version.store_listing_version_id ===
+                            listing.active_version_id && (
+                            <Badge className="ml-2 bg-blue-500">Active</Badge>
+                          )}
+                        </TableCell>
+                        <TableCell>{getStatusBadge(version.status)}</TableCell>
+                        {/* <TableCell>
+                          {version.changes_summary || "No summary"}
+                        </TableCell> */}
+                        <TableCell>
+                          {version.date_submitted
+                            ? formatDistanceToNow(
+                                new Date(version.date_submitted),
+                                { addSuffix: true },
+                              )
+                            : "Unknown"}
+                        </TableCell>
+                        <TableCell>
+                          {version.reviewed_at
+                            ? formatDistanceToNow(
+                                new Date(version.reviewed_at),
+                                {
+                                  addSuffix: true,
+                                },
+                              )
+                            : "Not reviewed"}
+                        </TableCell>
+                        <TableCell className="max-w-xs truncate">
+                          {version.review_comments ? (
+                            <div
+                              className="truncate"
+                              title={version.review_comments}
+                            >
+                              {version.review_comments}
+                            </div>
+                          ) : (
+                            <span className="text-gray-400">
+                              No external comments
+                            </span>
+                          )}
+                        </TableCell>
+                        <TableCell className="max-w-xs truncate">
+                          {version.internal_comments ? (
+                            <div
+                              className="truncate text-pink-600"
+                              title={version.internal_comments}
+                            >
+                              {version.internal_comments}
+                            </div>
+                          ) : (
+                            <span className="text-gray-400">
+                              No internal comments
+                            </span>
+                          )}
+                        </TableCell>
+                        <TableCell>{version.name}</TableCell>
+                        <TableCell>{version.sub_heading}</TableCell>
+                        <TableCell>{version.description}</TableCell>
+                        {/* <TableCell>{version.categories.join(", ")}</TableCell> */}
+                        <TableCell className="text-right">
+                          <div className="flex justify-end gap-2">
+                            {version.store_listing_version_id && (
+                              <DownloadAgentAdminButton
+                                storeListingVersionId={
+                                  version.store_listing_version_id
+                                }
+                              />
+                            )}
+                            {(version.status === SubmissionStatus.PENDING ||
+                              version.status === SubmissionStatus.APPROVED) && (
+                              <ApproveRejectButtons version={version} />
+                            )}
+                          </div>
+                        </TableCell>
+                      </TableRow>
+                    ))}
+                </TableBody>
+              </Table>
+            </div>
+          </TableCell>
+        </TableRow>
+      )}
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/marketplace/search-filter-form.tsx b/autogpt_platform/frontend/src/components/admin/marketplace/search-filter-form.tsx
new file mode 100644
index 000000000000..73da6da431c3
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/marketplace/search-filter-form.tsx
@@ -0,0 +1,100 @@
+"use client";
+
+import { useState, useEffect } from "react";
+import { useRouter, usePathname, useSearchParams } from "next/navigation";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import { Search } from "lucide-react";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { SubmissionStatus } from "@/lib/autogpt-server-api/types";
+
+export function SearchAndFilterAdminMarketplace({
+  initialSearch,
+}: {
+  initialStatus?: SubmissionStatus;
+  initialSearch?: string;
+}) {
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+
+  // Initialize state from URL parameters
+  const [searchQuery, setSearchQuery] = useState(initialSearch || "");
+  const [selectedStatus, setSelectedStatus] = useState<string>(
+    searchParams.get("status") || "ALL",
+  );
+
+  // Update local state when URL parameters change
+  useEffect(() => {
+    const status = searchParams.get("status");
+    setSelectedStatus(status || "ALL");
+    setSearchQuery(searchParams.get("search") || "");
+  }, [searchParams]);
+
+  const handleSearch = () => {
+    const params = new URLSearchParams(searchParams.toString());
+
+    if (searchQuery) {
+      params.set("search", searchQuery);
+    } else {
+      params.delete("search");
+    }
+
+    if (selectedStatus !== "ALL") {
+      params.set("status", selectedStatus);
+    } else {
+      params.delete("status");
+    }
+
+    params.set("page", "1"); // Reset to first page on new search
+
+    router.push(`${pathname}?${params.toString()}`);
+  };
+
+  return (
+    <div className="flex items-center justify-between">
+      <div className="flex w-full items-center gap-2">
+        <Input
+          placeholder="Search agents by Name, Creator, or Description..."
+          value={searchQuery}
+          onChange={(e) => setSearchQuery(e.target.value)}
+          onKeyDown={(e) => e.key === "Enter" && handleSearch()}
+        />
+        <Button variant="outline" onClick={handleSearch}>
+          <Search className="h-4 w-4" />
+        </Button>
+      </div>
+
+      <Select
+        value={selectedStatus}
+        onValueChange={(value) => {
+          setSelectedStatus(value);
+          const params = new URLSearchParams(searchParams.toString());
+          if (value === "ALL") {
+            params.delete("status");
+          } else {
+            params.set("status", value);
+          }
+          params.set("page", "1");
+          router.push(`${pathname}?${params.toString()}`);
+        }}
+      >
+        <SelectTrigger className="w-[180px]">
+          <SelectValue placeholder="Select Status" />
+        </SelectTrigger>
+        <SelectContent>
+          <SelectItem value="ALL">All</SelectItem>
+          <SelectItem value={SubmissionStatus.PENDING}>Pending</SelectItem>
+          <SelectItem value={SubmissionStatus.APPROVED}>Approved</SelectItem>
+          <SelectItem value={SubmissionStatus.REJECTED}>Rejected</SelectItem>
+        </SelectContent>
+      </Select>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/spending/add-money-button.tsx b/autogpt_platform/frontend/src/components/admin/spending/add-money-button.tsx
new file mode 100644
index 000000000000..64b5860d2792
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/spending/add-money-button.tsx
@@ -0,0 +1,153 @@
+"use client";
+
+import { useState } from "react";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+  DialogFooter,
+} from "@/components/ui/dialog";
+import { Label } from "@/components/ui/label";
+import { Textarea } from "@/components/ui/textarea";
+import { Input } from "@/components/ui/input";
+import { useRouter } from "next/navigation";
+import { addDollars } from "@/app/(platform)/admin/spending/actions";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+
+export function AdminAddMoneyButton({
+  userId,
+  userEmail,
+  currentBalance,
+  defaultAmount,
+  defaultComments,
+}: {
+  userId: string;
+  userEmail: string;
+  currentBalance: number;
+  defaultAmount?: number;
+  defaultComments?: string;
+}) {
+  const router = useRouter();
+  const { toast } = useToast();
+  const [isAddMoneyDialogOpen, setIsAddMoneyDialogOpen] = useState(false);
+  const [isSubmitting, setIsSubmitting] = useState(false);
+  const [dollarAmount, setDollarAmount] = useState(
+    defaultAmount ? Math.abs(defaultAmount / 100).toFixed(2) : "1.00",
+  );
+
+  const handleApproveSubmit = async (formData: FormData) => {
+    setIsSubmitting(true);
+    try {
+      await addDollars(formData);
+      setIsAddMoneyDialogOpen(false);
+      toast({
+        title: "Success",
+        description: `Added $${dollarAmount} to ${userEmail}'s balance`,
+      });
+      router.refresh(); // Refresh the current route
+    } catch (error) {
+      console.error("Error adding dollars:", error);
+      toast({
+        title: "Error",
+        description: "Failed to add dollars. Please try again.",
+        variant: "destructive",
+      });
+    } finally {
+      setIsSubmitting(false);
+    }
+  };
+
+  return (
+    <>
+      <Button
+        size="sm"
+        variant="default"
+        onClick={(e) => {
+          e.stopPropagation();
+          setIsAddMoneyDialogOpen(true);
+        }}
+      >
+        Add Dollars
+      </Button>
+
+      {/* Add $$$ Dialog */}
+      <Dialog
+        open={isAddMoneyDialogOpen}
+        onOpenChange={setIsAddMoneyDialogOpen}
+      >
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>Add Dollars</DialogTitle>
+            <DialogDescription className="pt-2">
+              <div className="mb-2">
+                <span className="font-medium">User:</span> {userEmail}
+              </div>
+              <div>
+                <span className="font-medium">Current balance:</span> $
+                {(currentBalance / 100).toFixed(2)}
+              </div>
+            </DialogDescription>
+          </DialogHeader>
+
+          <form action={handleApproveSubmit}>
+            <input type="hidden" name="id" value={userId} />
+            <input
+              type="hidden"
+              name="amount"
+              value={Math.round(parseFloat(dollarAmount) * 100)}
+            />
+
+            <div className="grid gap-4 py-4">
+              <div className="grid gap-2">
+                <Label htmlFor="dollarAmount">Amount (in dollars)</Label>
+                <div className="flex">
+                  <div className="flex items-center justify-center rounded-l-md border border-r-0 bg-gray-50 px-3 text-gray-500">
+                    $
+                  </div>
+                  <Input
+                    id="dollarAmount"
+                    type="number"
+                    step="0.01"
+                    className="rounded-l-none"
+                    value={dollarAmount}
+                    onChange={(e) => setDollarAmount(e.target.value)}
+                    placeholder="0.00"
+                  />
+                </div>
+              </div>
+            </div>
+
+            <div className="grid gap-4 py-4">
+              <div className="grid gap-2">
+                <Label htmlFor="comments">Comments (Optional)</Label>
+                <Textarea
+                  id="comments"
+                  name="comments"
+                  placeholder="Why are you adding dollars?"
+                  defaultValue={defaultComments || "We love you!"}
+                />
+              </div>
+            </div>
+
+            <DialogFooter>
+              <Button
+                type="button"
+                variant="outline"
+                onClick={() => setIsAddMoneyDialogOpen(false)}
+                disabled={isSubmitting}
+              >
+                Cancel
+              </Button>
+              <Button type="submit" disabled={isSubmitting}>
+                {isSubmitting ? "Adding..." : "Add Dollars"}
+              </Button>
+            </DialogFooter>
+          </form>
+        </DialogContent>
+      </Dialog>
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/spending/admin-grant-history-data-table.tsx b/autogpt_platform/frontend/src/components/admin/spending/admin-grant-history-data-table.tsx
new file mode 100644
index 000000000000..80695b803cf2
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/spending/admin-grant-history-data-table.tsx
@@ -0,0 +1,183 @@
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
+
+import { PaginationControls } from "../../ui/pagination-controls";
+import { SearchAndFilterAdminSpending } from "./search-filter-form";
+import { getUsersTransactionHistory } from "@/app/(platform)/admin/spending/actions";
+import { AdminAddMoneyButton } from "./add-money-button";
+import { CreditTransactionType } from "@/lib/autogpt-server-api";
+
+export async function AdminUserGrantHistory({
+  initialPage = 1,
+  initialStatus,
+  initialSearch,
+}: {
+  initialPage?: number;
+  initialStatus?: CreditTransactionType;
+  initialSearch?: string;
+}) {
+  // Server-side data fetching
+  const { history, pagination } = await getUsersTransactionHistory(
+    initialPage,
+    15,
+    initialSearch,
+    initialStatus,
+  );
+
+  // Helper function to format the amount with color based on transaction type
+  const formatAmount = (amount: number, type: CreditTransactionType) => {
+    const isPositive = type === CreditTransactionType.GRANT;
+    const isNeutral = type === CreditTransactionType.TOP_UP;
+    const color = isPositive
+      ? "text-green-600"
+      : isNeutral
+        ? "text-blue-600"
+        : "text-red-600";
+    return <span className={color}>${Math.abs(amount / 100)}</span>;
+  };
+
+  // Helper function to format the transaction type with color
+  const formatType = (type: CreditTransactionType) => {
+    const isGrant = type === CreditTransactionType.GRANT;
+    const isPurchased = type === CreditTransactionType.TOP_UP;
+    const isSpent = type === CreditTransactionType.USAGE;
+
+    const displayText = type;
+    let bgColor = "";
+
+    if (isGrant) {
+      bgColor = "bg-green-100 text-green-800";
+    } else if (isPurchased) {
+      bgColor = "bg-blue-100 text-blue-800";
+    } else if (isSpent) {
+      bgColor = "bg-red-100 text-red-800";
+    }
+
+    return (
+      <span className={`rounded-full px-2 py-1 text-xs font-medium ${bgColor}`}>
+        {displayText.valueOf()}
+      </span>
+    );
+  };
+
+  // Helper function to format the date
+  const formatDate = (date: Date) => {
+    return new Intl.DateTimeFormat("en-US", {
+      month: "short",
+      day: "numeric",
+      year: "numeric",
+      hour: "numeric",
+      minute: "numeric",
+      hour12: true,
+    }).format(new Date(date));
+  };
+
+  return (
+    <div className="space-y-4">
+      <SearchAndFilterAdminSpending
+        initialStatus={initialStatus}
+        initialSearch={initialSearch}
+      />
+
+      <div className="rounded-md border bg-white">
+        <Table>
+          <TableHeader className="bg-gray-50">
+            <TableRow>
+              <TableHead className="font-medium">User</TableHead>
+              <TableHead className="font-medium">Type</TableHead>
+              <TableHead className="font-medium">Date</TableHead>
+              <TableHead className="font-medium">Reason</TableHead>
+              <TableHead className="font-medium">Admin</TableHead>
+              <TableHead className="font-medium">Starting Balance</TableHead>
+              <TableHead className="font-medium">Amount</TableHead>
+              <TableHead className="font-medium">Ending Balance</TableHead>
+              {/* <TableHead className="font-medium">Current Balance</TableHead> */}
+              <TableHead className="text-right font-medium">Actions</TableHead>
+            </TableRow>
+          </TableHeader>
+          <TableBody>
+            {history.length === 0 ? (
+              <TableRow>
+                <TableCell
+                  colSpan={8}
+                  className="py-10 text-center text-gray-500"
+                >
+                  No transactions found
+                </TableCell>
+              </TableRow>
+            ) : (
+              history.map((transaction) => (
+                <TableRow
+                  key={transaction.user_id}
+                  className="hover:bg-gray-50"
+                >
+                  <TableCell className="font-medium">
+                    {transaction.user_email}
+                  </TableCell>
+
+                  <TableCell>
+                    {formatType(transaction.transaction_type)}
+                  </TableCell>
+                  <TableCell className="text-gray-600">
+                    {formatDate(transaction.transaction_time)}
+                  </TableCell>
+                  <TableCell>{transaction.reason}</TableCell>
+                  <TableCell className="text-gray-600">
+                    {transaction.admin_email}
+                  </TableCell>
+                  <TableCell className="font-medium text-green-600">
+                    ${(transaction.running_balance + -transaction.amount) / 100}
+                  </TableCell>
+                  <TableCell>
+                    {formatAmount(
+                      transaction.amount,
+                      transaction.transaction_type,
+                    )}
+                  </TableCell>
+                  <TableCell className="font-medium text-green-600">
+                    ${transaction.running_balance / 100}
+                  </TableCell>
+                  {/* <TableCell className="font-medium text-green-600">
+                    ${transaction.current_balance / 100}
+                  </TableCell> */}
+                  <TableCell className="text-right">
+                    <AdminAddMoneyButton
+                      userId={transaction.user_id}
+                      userEmail={
+                        transaction.user_email ?? "User Email wasn't attached"
+                      }
+                      currentBalance={transaction.current_balance}
+                      defaultAmount={
+                        transaction.transaction_type ===
+                        CreditTransactionType.USAGE
+                          ? -transaction.amount
+                          : undefined
+                      }
+                      defaultComments={
+                        transaction.transaction_type ===
+                        CreditTransactionType.USAGE
+                          ? "Refund for usage"
+                          : undefined
+                      }
+                    />
+                  </TableCell>
+                </TableRow>
+              ))
+            )}
+          </TableBody>
+        </Table>
+      </div>
+
+      <PaginationControls
+        currentPage={initialPage}
+        totalPages={pagination.total_pages}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/admin/spending/search-filter-form.tsx b/autogpt_platform/frontend/src/components/admin/spending/search-filter-form.tsx
new file mode 100644
index 000000000000..f30146107109
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/admin/spending/search-filter-form.tsx
@@ -0,0 +1,104 @@
+"use client";
+
+import { useState, useEffect } from "react";
+import { useRouter, usePathname, useSearchParams } from "next/navigation";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import { Search } from "lucide-react";
+import { CreditTransactionType } from "@/lib/autogpt-server-api";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+
+export function SearchAndFilterAdminSpending({
+  initialSearch,
+}: {
+  initialStatus?: CreditTransactionType;
+  initialSearch?: string;
+}) {
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+
+  // Initialize state from URL parameters
+  const [searchQuery, setSearchQuery] = useState(initialSearch || "");
+  const [selectedStatus, setSelectedStatus] = useState<string>(
+    searchParams.get("status") || "ALL",
+  );
+
+  // Update local state when URL parameters change
+  useEffect(() => {
+    const status = searchParams.get("status");
+    setSelectedStatus(status || "ALL");
+    setSearchQuery(searchParams.get("search") || "");
+  }, [searchParams]);
+
+  const handleSearch = () => {
+    const params = new URLSearchParams(searchParams.toString());
+
+    if (searchQuery) {
+      params.set("search", searchQuery);
+    } else {
+      params.delete("search");
+    }
+
+    if (selectedStatus !== "ALL") {
+      params.set("status", selectedStatus);
+    } else {
+      params.delete("status");
+    }
+
+    params.set("page", "1"); // Reset to first page on new search
+
+    router.push(`${pathname}?${params.toString()}`);
+  };
+
+  return (
+    <div className="flex items-center justify-between">
+      <div className="flex w-full items-center gap-2">
+        <Input
+          placeholder="Search users by Name or Email..."
+          value={searchQuery}
+          onChange={(e) => setSearchQuery(e.target.value)}
+          onKeyDown={(e) => e.key === "Enter" && handleSearch()}
+        />
+        <Button variant="outline" onClick={handleSearch}>
+          <Search className="h-4 w-4" />
+        </Button>
+      </div>
+
+      <Select
+        value={selectedStatus}
+        onValueChange={(value: string) => {
+          setSelectedStatus(value);
+          const params = new URLSearchParams(searchParams.toString());
+          if (value === "ALL") {
+            params.delete("status");
+          } else {
+            params.set("status", value);
+          }
+          params.set("page", "1");
+          router.push(`${pathname}?${params.toString()}`);
+        }}
+      >
+        <SelectTrigger className="w-1/4">
+          <SelectValue placeholder="Select Status" />
+        </SelectTrigger>
+        <SelectContent>
+          <SelectItem value="ALL">All</SelectItem>
+          <SelectItem value={CreditTransactionType.TOP_UP}>Top Up</SelectItem>
+          <SelectItem value={CreditTransactionType.USAGE}>Usage</SelectItem>
+          <SelectItem value={CreditTransactionType.REFUND}>Refund</SelectItem>
+          <SelectItem value={CreditTransactionType.GRANT}>Grant</SelectItem>
+          <SelectItem value={CreditTransactionType.CARD_CHECK}>
+            Card Check
+          </SelectItem>
+        </SelectContent>
+      </Select>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agent-import-form.tsx b/autogpt_platform/frontend/src/components/agent-import-form.tsx
index a17b9963e28c..41fa03725437 100644
--- a/autogpt_platform/frontend/src/components/agent-import-form.tsx
+++ b/autogpt_platform/frontend/src/components/agent-import-form.tsx
@@ -1,4 +1,5 @@
 import { z } from "zod";
+import { cn } from "@/lib/utils";
 import { useForm } from "react-hook-form";
 import { zodResolver } from "@hookform/resolvers/zod";
 import React, { useState } from "react";
@@ -12,12 +13,14 @@ import {
 } from "@/components/ui/form";
 import { Input } from "@/components/ui/input";
 import { Button } from "@/components/ui/button";
-import { Switch } from "@/components/ui/switch";
 import { Textarea } from "@/components/ui/textarea";
-import { Graph, GraphCreatable } from "@/lib/autogpt-server-api";
-import { cn } from "@/lib/utils";
 import { EnterIcon } from "@radix-ui/react-icons";
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import {
+  Graph,
+  GraphCreatable,
+  sanitizeImportedGraph,
+} from "@/lib/autogpt-server-api";
 
 // Add this custom schema for File type
 const fileSchema = z.custom<File>((val) => val instanceof File, {
@@ -31,44 +34,6 @@ const formSchema = z.object({
   importAsTemplate: z.boolean(),
 });
 
-function updateBlockIDs(graph: Graph) {
-  // https://github.com/Significant-Gravitas/AutoGPT/issues/8223
-  const updatedBlockIDMap: Record<string, string> = {
-    "a1b2c3d4-5e6f-7g8h-9i0j-k1l2m3n4o5p6":
-      "436c3984-57fd-4b85-8e9a-459b356883bd",
-    "b2g2c3d4-5e6f-7g8h-9i0j-k1l2m3n4o5p6":
-      "0e50422c-6dee-4145-83d6-3a5a392f65de",
-    "c3d4e5f6-7g8h-9i0j-1k2l-m3n4o5p6q7r8":
-      "a0a69be1-4528-491c-a85a-a4ab6873e3f0",
-    "c3d4e5f6-g7h8-i9j0-k1l2-m3n4o5p6q7r8":
-      "32a87eab-381e-4dd4-bdb8-4c47151be35a",
-    "b2c3d4e5-6f7g-8h9i-0j1k-l2m3n4o5p6q7":
-      "87840993-2053-44b7-8da4-187ad4ee518c",
-    "h1i2j3k4-5l6m-7n8o-9p0q-r1s2t3u4v5w6":
-      "d0822ab5-9f8a-44a3-8971-531dd0178b6b",
-    "d3f4g5h6-1i2j-3k4l-5m6n-7o8p9q0r1s2t":
-      "df06086a-d5ac-4abb-9996-2ad0acb2eff7",
-    "h5e7f8g9-1b2c-3d4e-5f6g-7h8i9j0k1l2m":
-      "f5b0f5d0-1862-4d61-94be-3ad0fa772760",
-    "a1234567-89ab-cdef-0123-456789abcdef":
-      "4335878a-394e-4e67-adf2-919877ff49ae",
-    "f8e7d6c5-b4a3-2c1d-0e9f-8g7h6i5j4k3l":
-      "f66a3543-28d3-4ab5-8945-9b336371e2ce",
-    "b29c1b50-5d0e-4d9f-8f9d-1b0e6fcbf0h2":
-      "716a67b3-6760-42e7-86dc-18645c6e00fc",
-    "31d1064e-7446-4693-o7d4-65e5ca9110d1":
-      "cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
-    "c6731acb-4105-4zp1-bc9b-03d0036h370g":
-      "5ebe6768-8e5d-41e3-9134-1c7bd89a8d52",
-  };
-  graph.nodes
-    .filter((node) => node.block_id in updatedBlockIDMap)
-    .forEach((node) => {
-      node.block_id = updatedBlockIDMap[node.block_id];
-    });
-  return graph;
-}
-
 export const AgentImportForm: React.FC<
   React.FormHTMLAttributes<HTMLFormElement>
 > = ({ className, ...props }) => {
@@ -149,11 +114,11 @@ export const AgentImportForm: React.FC<
                                 JSON.stringify(obj, null, 2),
                             );
                           }
-                          const agent = obj as Graph;
-                          updateBlockIDs(agent);
-                          setAgentObject(agent);
-                          form.setValue("agentName", agent.name);
-                          form.setValue("agentDescription", agent.description);
+                          const graph = obj as Graph;
+                          sanitizeImportedGraph(graph);
+                          setAgentObject(graph);
+                          form.setValue("agentName", graph.name);
+                          form.setValue("agentDescription", graph.description);
                         } catch (error) {
                           console.error("Error loading agent file:", error);
                         }
diff --git a/autogpt_platform/frontend/src/components/agents/agent-run-status-chip.tsx b/autogpt_platform/frontend/src/components/agents/agent-run-status-chip.tsx
new file mode 100644
index 000000000000..0bfa23c1c567
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agents/agent-run-status-chip.tsx
@@ -0,0 +1,66 @@
+import React from "react";
+
+import { Badge } from "@/components/ui/badge";
+
+import { GraphExecutionMeta } from "@/lib/autogpt-server-api/types";
+
+export type AgentRunStatus =
+  | "success"
+  | "failed"
+  | "queued"
+  | "running"
+  | "stopped"
+  | "scheduled"
+  | "draft";
+
+export const agentRunStatusMap: Record<
+  GraphExecutionMeta["status"],
+  AgentRunStatus
+> = {
+  INCOMPLETE: "draft",
+  COMPLETED: "success",
+  FAILED: "failed",
+  QUEUED: "queued",
+  RUNNING: "running",
+  TERMINATED: "stopped",
+  // TODO: implement "draft" - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
+};
+
+const statusData: Record<
+  AgentRunStatus,
+  { label: string; variant: keyof typeof statusStyles }
+> = {
+  success: { label: "Success", variant: "success" },
+  running: { label: "Running", variant: "info" },
+  failed: { label: "Failed", variant: "destructive" },
+  queued: { label: "Queued", variant: "warning" },
+  draft: { label: "Draft", variant: "secondary" },
+  stopped: { label: "Stopped", variant: "secondary" },
+  scheduled: { label: "Scheduled", variant: "secondary" },
+};
+
+const statusStyles = {
+  success:
+    "bg-green-100 text-green-800 hover:bg-green-100 hover:text-green-800",
+  destructive: "bg-red-100 text-red-800 hover:bg-red-100 hover:text-red-800",
+  warning:
+    "bg-yellow-100 text-yellow-800 hover:bg-yellow-100 hover:text-yellow-800",
+  info: "bg-blue-100 text-blue-800 hover:bg-blue-100 hover:text-blue-800",
+  secondary:
+    "bg-slate-100 text-slate-800 hover:bg-slate-100 hover:text-slate-800",
+};
+
+export default function AgentRunStatusChip({
+  status,
+}: {
+  status: AgentRunStatus;
+}): React.ReactElement {
+  return (
+    <Badge
+      variant="secondary"
+      className={`text-xs font-medium ${statusStyles[statusData[status]?.variant]} rounded-[45px] px-[9px] py-[3px]`}
+    >
+      {statusData[status]?.label}
+    </Badge>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agents/agent-run-summary-card.tsx b/autogpt_platform/frontend/src/components/agents/agent-run-summary-card.tsx
new file mode 100644
index 000000000000..ddc53341076b
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agents/agent-run-summary-card.tsx
@@ -0,0 +1,122 @@
+import React from "react";
+import moment from "moment";
+
+import { cn } from "@/lib/utils";
+
+import { Link2Icon, Link2OffIcon, MoreVertical } from "lucide-react";
+import { Card, CardContent } from "@/components/ui/card";
+import { Button } from "@/components/ui/button";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
+
+import AgentRunStatusChip, {
+  AgentRunStatus,
+} from "@/components/agents/agent-run-status-chip";
+import AgentStatusChip, {
+  AgentStatus,
+} from "@/components/agents/agent-status-chip";
+
+export type AgentRunSummaryProps = (
+  | {
+      type: "run";
+      status: AgentRunStatus;
+    }
+  | {
+      type: "preset";
+      status: AgentStatus;
+    }
+  | {
+      type: "schedule";
+      status: "scheduled";
+    }
+) & {
+  title: string;
+  timestamp?: number | Date;
+  selected?: boolean;
+  onClick?: () => void;
+  // onRename: () => void;
+  onDelete: () => void;
+  className?: string;
+};
+
+export default function AgentRunSummaryCard({
+  type,
+  status,
+  title,
+  timestamp,
+  selected = false,
+  onClick,
+  // onRename,
+  onDelete,
+  className,
+}: AgentRunSummaryProps): React.ReactElement {
+  return (
+    <Card
+      className={cn(
+        "agpt-rounded-card cursor-pointer border-zinc-300",
+        selected ? "agpt-card-selected" : "",
+        className,
+      )}
+      onClick={onClick}
+    >
+      <CardContent className="relative p-2.5 lg:p-4">
+        {(type == "run" || type == "schedule") && (
+          <AgentRunStatusChip status={status} />
+        )}
+        {type == "preset" && (
+          <div className="flex items-center justify-between">
+            <AgentStatusChip status={status} />
+
+            <div className="flex items-center text-sm text-zinc-400">
+              {status == "inactive" ? (
+                <Link2OffIcon className="mr-1 size-4" />
+              ) : (
+                <Link2Icon className="mr-1 size-4" />
+              )}{" "}
+              Trigger
+            </div>
+          </div>
+        )}
+
+        <div className="mt-5 flex items-center justify-between">
+          <h3 className="truncate pr-2 text-base font-medium text-neutral-900">
+            {title}
+          </h3>
+
+          <DropdownMenu>
+            <DropdownMenuTrigger asChild>
+              <Button variant="ghost" className="h-5 w-5 p-0">
+                <MoreVertical className="h-5 w-5" />
+              </Button>
+            </DropdownMenuTrigger>
+            <DropdownMenuContent>
+              {/* {onPinAsPreset && (
+                <DropdownMenuItem onClick={onPinAsPreset}>
+                  Pin as a preset
+              </DropdownMenuItem>
+              )} */}
+
+              {/* <DropdownMenuItem onClick={onRename}>Rename</DropdownMenuItem> */}
+
+              <DropdownMenuItem onClick={onDelete}>Delete</DropdownMenuItem>
+            </DropdownMenuContent>
+          </DropdownMenu>
+        </div>
+
+        {timestamp && (
+          <p
+            className="mt-1 text-sm font-normal text-neutral-500"
+            title={moment(timestamp).toString()}
+          >
+            {moment(timestamp).isBefore() ? "Ran" : "Runs in"}{" "}
+            {moment(timestamp).fromNow()}
+          </p>
+        )}
+      </CardContent>
+    </Card>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agents/agent-status-chip.tsx b/autogpt_platform/frontend/src/components/agents/agent-status-chip.tsx
new file mode 100644
index 000000000000..2ec9ed1c2472
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agents/agent-status-chip.tsx
@@ -0,0 +1,40 @@
+import React from "react";
+
+import { Badge } from "@/components/ui/badge";
+
+export type AgentStatus = "active" | "inactive" | "error";
+
+const statusData: Record<
+  AgentStatus,
+  { label: string; variant: keyof typeof statusStyles }
+> = {
+  active: { label: "Active", variant: "success" },
+  error: { label: "Error", variant: "destructive" },
+  inactive: { label: "Inactive", variant: "secondary" },
+};
+
+const statusStyles = {
+  success:
+    "bg-green-100 text-green-800 hover:bg-green-100 hover:text-green-800",
+  destructive: "bg-red-100 text-red-800 hover:bg-red-100 hover:text-red-800",
+  warning:
+    "bg-yellow-100 text-yellow-800 hover:bg-yellow-100 hover:text-yellow-800",
+  info: "bg-blue-100 text-blue-800 hover:bg-blue-100 hover:text-blue-800",
+  secondary:
+    "bg-slate-100 text-slate-800 hover:bg-slate-100 hover:text-slate-800",
+};
+
+export default function AgentStatusChip({
+  status,
+}: {
+  status: AgentStatus;
+}): React.ReactElement {
+  return (
+    <Badge
+      variant="secondary"
+      className={`text-xs font-medium ${statusStyles[statusData[status]?.variant]} rounded-[45px] px-[9px] py-[3px]`}
+    >
+      {statusData[status]?.label}
+    </Badge>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentImageItem.tsx b/autogpt_platform/frontend/src/components/agptui/AgentImageItem.tsx
index 08f78a7d1ffe..7a894d654ca4 100644
--- a/autogpt_platform/frontend/src/components/agptui/AgentImageItem.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/AgentImageItem.tsx
@@ -47,7 +47,7 @@ export const AgentImageItem: React.FC<AgentImageItemProps> = React.memo(
 
     return (
       <div className="relative">
-        <div className="h-[15rem] overflow-hidden rounded-xl bg-[#a8a8a8] dark:bg-neutral-700 sm:h-[20rem] sm:w-full md:h-[25rem] lg:h-[30rem]">
+        <div className="h-[15rem] overflow-hidden rounded-[26px] bg-[#a8a8a8] dark:bg-neutral-700 sm:h-[20rem] sm:w-full md:h-[25rem] lg:h-[30rem]">
           {isValidVideoUrl(image) ? (
             getYouTubeVideoId(image) ? (
               <iframe
@@ -92,7 +92,6 @@ export const AgentImageItem: React.FC<AgentImageItemProps> = React.memo(
         {isVideoFile && playingVideoIndex !== index && (
           <div className="absolute bottom-2 left-2 sm:bottom-3 sm:left-3 md:bottom-4 md:left-4 lg:bottom-[1.25rem] lg:left-[1.25rem]">
             <Button
-              variant="default"
               size="default"
               onClick={() => {
                 if (videoRef.current) {
@@ -100,7 +99,7 @@ export const AgentImageItem: React.FC<AgentImageItemProps> = React.memo(
                 }
               }}
             >
-              <span className="pr-1 font-neue text-sm font-medium leading-6 tracking-tight text-[#272727] dark:text-neutral-200 sm:pr-2 sm:text-base sm:leading-7 md:text-lg md:leading-8 lg:text-xl lg:leading-9">
+              <span className="pr-1 text-sm font-medium leading-6 tracking-tight text-[#272727] dark:text-neutral-200 sm:pr-2 sm:text-base sm:leading-7 md:text-lg md:leading-8 lg:text-xl lg:leading-9">
                 Play demo
               </span>
               <PlayIcon className="h-5 w-5 text-black dark:text-neutral-200 sm:h-6 sm:w-6 md:h-7 md:w-7" />
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentImages.stories.tsx b/autogpt_platform/frontend/src/components/agptui/AgentImages.stories.tsx
deleted file mode 100644
index e752e450d09c..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentImages.stories.tsx
+++ /dev/null
@@ -1,58 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { AgentImages } from "./AgentImages";
-
-const meta = {
-  title: "AGPT UI/Agent Images",
-  component: AgentImages,
-  parameters: {
-    layout: {
-      center: true,
-      fullscreen: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    images: { control: "object" },
-  },
-} satisfies Meta<typeof AgentImages>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    images: [
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-      "https://youtu.be/KWonAsyKF3g?si=JMibxlN_6OVo6LhJ",
-      "https://storage.googleapis.com/agpt-dev-website-media/DJINeo.mp4",
-    ],
-  },
-};
-
-export const OnlyImages: Story = {
-  args: {
-    images: [
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    ],
-  },
-};
-
-export const WithVideos: Story = {
-  args: {
-    images: [
-      "https://storage.googleapis.com/agpt-dev-website-media/DJINeo.mp4",
-      "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4",
-      "https://youtu.be/KWonAsyKF3g?si=JMibxlN_6OVo6LhJ",
-    ],
-  },
-};
-
-export const SingleItem: Story = {
-  args: {
-    images: [
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    ],
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentImages.tsx b/autogpt_platform/frontend/src/components/agptui/AgentImages.tsx
index eaa1f55e1355..3f8d37d78095 100644
--- a/autogpt_platform/frontend/src/components/agptui/AgentImages.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/AgentImages.tsx
@@ -26,7 +26,7 @@ export const AgentImages: React.FC<AgentImagesProps> = ({ images }) => {
   );
 
   return (
-    <div className="w-full overflow-y-auto bg-white px-2 dark:bg-gray-800 lg:w-[56.25rem]">
+    <div className="w-full overflow-y-auto bg-white px-2 dark:bg-transparent lg:w-[56.25rem]">
       <div className="space-y-4 sm:space-y-6 md:space-y-[1.875rem]">
         {images.map((image, index) => (
           <AgentImageItem
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentInfo.stories.tsx b/autogpt_platform/frontend/src/components/agptui/AgentInfo.stories.tsx
deleted file mode 100644
index c820e4af15e5..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentInfo.stories.tsx
+++ /dev/null
@@ -1,136 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { AgentInfo } from "./AgentInfo";
-import { userEvent, within } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Agent Info",
-  component: AgentInfo,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    onRunAgent: { action: "run agent clicked" },
-    name: { control: "text" },
-    creator: { control: "text" },
-    shortDescription: { control: "text" },
-    longDescription: { control: "text" },
-    rating: { control: "number", min: 0, max: 5, step: 0.1 },
-    runs: { control: "number" },
-    categories: { control: "object" },
-    lastUpdated: { control: "text" },
-    version: { control: "text" },
-  },
-} satisfies Meta<typeof AgentInfo>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    onRunAgent: () => console.log("Run agent clicked"),
-    name: "AI Video Generator",
-    creator: "Toran Richards",
-    shortDescription:
-      "Transform ideas into breathtaking images with this AI-powered Image Generator.",
-    longDescription: `Create Viral-Ready Content in Seconds! Transform trending topics into engaging videos with this cutting-edge AI Video Generator. Perfect for content creators, social media managers, and marketers looking to quickly produce high-quality content.
-
-Key features include:
-- Customizable video output
-- 15+ pre-made templates
-- Auto scene detection
-- Smart text-to-speech
-- Multiple export formats
-- SEO-optimized suggestions`,
-    rating: 4.7,
-    runs: 1500,
-    categories: ["Video", "Content Creation", "Social Media"],
-    lastUpdated: "2 days ago",
-    version: "1.2.0",
-  },
-};
-
-export const LowRating: Story = {
-  args: {
-    ...Default.args,
-    name: "Data Analyzer",
-    creator: "DataTech",
-    shortDescription:
-      "Analyze complex datasets with machine learning algorithms",
-    longDescription:
-      "A comprehensive data analysis tool that leverages machine learning to provide deep insights into your datasets. Currently in beta testing phase.",
-    rating: 2.7,
-    runs: 5000,
-    categories: ["Data Analysis", "Machine Learning"],
-    lastUpdated: "1 week ago",
-    version: "0.9.5",
-  },
-};
-
-export const HighRuns: Story = {
-  args: {
-    ...Default.args,
-    name: "Code Assistant",
-    creator: "DevAI",
-    shortDescription:
-      "Get AI-powered coding help for various programming languages",
-    longDescription:
-      "An advanced AI coding assistant that supports multiple programming languages and frameworks. Features include code completion, refactoring suggestions, and bug detection.",
-    rating: 4.8,
-    runs: 1000000,
-    categories: ["Programming", "AI", "Developer Tools"],
-    lastUpdated: "1 day ago",
-    version: "2.1.3",
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    ...Default.args,
-    name: "Task Planner",
-    creator: "Productivity AI",
-    shortDescription: "Plan and organize your tasks efficiently with AI",
-    longDescription:
-      "An intelligent task management system that helps you organize, prioritize, and complete your tasks more efficiently. Features smart scheduling and AI-powered suggestions.",
-    rating: 4.2,
-    runs: 50000,
-    categories: ["Productivity", "Task Management", "AI"],
-    lastUpdated: "3 days ago",
-    version: "1.5.2",
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-
-    // Test run agent button
-    const runButton = canvas.getByText("Run agent");
-    await userEvent.hover(runButton);
-    await userEvent.click(runButton);
-
-    // Test rating interaction
-    const ratingStars = canvas.getAllByLabelText(/Star Icon/);
-    await userEvent.hover(ratingStars[3]);
-    await userEvent.click(ratingStars[3]);
-
-    // Test category interaction
-    const category = canvas.getByText("Productivity");
-    await userEvent.hover(category);
-    await userEvent.click(category);
-  },
-};
-
-export const LongDescription: Story = {
-  args: {
-    ...Default.args,
-    name: "AI Writing Assistant",
-    creator: "WordCraft AI",
-    shortDescription:
-      "Enhance your writing with our advanced AI-powered assistant.",
-    longDescription:
-      "It offers real-time suggestions for grammar, style, and tone, helps with research and fact-checking, and can even generate content ideas based on your input.",
-    rating: 4.7,
-    runs: 75000,
-    categories: ["Writing", "AI", "Content Creation"],
-    lastUpdated: "5 days ago",
-    version: "3.0.1",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentInfo.tsx b/autogpt_platform/frontend/src/components/agptui/AgentInfo.tsx
index 72f6272bf597..2b680649e013 100644
--- a/autogpt_platform/frontend/src/components/agptui/AgentInfo.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/AgentInfo.tsx
@@ -1,11 +1,19 @@
 "use client";
 
-import * as React from "react";
-import { IconPlay, StarRatingIcons } from "@/components/ui/icons";
+import { StarRatingIcons } from "@/components/ui/icons";
 import { Separator } from "@/components/ui/separator";
-import BackendAPI from "@/lib/autogpt-server-api";
+import BackendAPI, { LibraryAgent } from "@/lib/autogpt-server-api";
 import { useRouter } from "next/navigation";
+import Link from "next/link";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+
+import { useOnboarding } from "../onboarding/onboarding-provider";
+import { User } from "@supabase/supabase-js";
+import { cn } from "@/lib/utils";
+import { FC, useCallback, useMemo, useState } from "react";
+
 interface AgentInfoProps {
+  user: User | null;
   name: string;
   creator: string;
   shortDescription: string;
@@ -16,9 +24,11 @@ interface AgentInfoProps {
   lastUpdated: string;
   version: string;
   storeListingVersionId: string;
+  libraryAgent: LibraryAgent | null;
 }
 
-export const AgentInfo: React.FC<AgentInfoProps> = ({
+export const AgentInfo: FC<AgentInfoProps> = ({
+  user,
   name,
   creator,
   shortDescription,
@@ -29,92 +39,191 @@ export const AgentInfo: React.FC<AgentInfoProps> = ({
   lastUpdated,
   version,
   storeListingVersionId,
+  libraryAgent,
 }) => {
   const router = useRouter();
+  const api = useMemo(() => new BackendAPI(), []);
+  const { toast } = useToast();
+  const { completeStep } = useOnboarding();
+  const [adding, setAdding] = useState(false);
+  const [downloading, setDownloading] = useState(false);
 
-  const api = React.useMemo(() => new BackendAPI(), []);
-
-  const handleAddToLibrary = async () => {
+  const libraryAction = useCallback(async () => {
+    setAdding(true);
+    if (libraryAgent) {
+      toast({
+        description: "Redirecting to your library...",
+        duration: 2000,
+      });
+      // Redirect to the library agent page
+      router.push(`/library/agents/${libraryAgent.id}`);
+      return;
+    }
     try {
-      await api.addAgentToLibrary(storeListingVersionId);
-      console.log("Agent added to library successfully");
-      router.push("/monitoring");
+      const newLibraryAgent = await api.addMarketplaceAgentToLibrary(
+        storeListingVersionId,
+      );
+      completeStep("MARKETPLACE_ADD_AGENT");
+      router.push(`/library/agents/${newLibraryAgent.id}`);
+      toast({
+        title: "Agent Added",
+        description: "Redirecting to your library...",
+        duration: 2000,
+      });
     } catch (error) {
       console.error("Failed to add agent to library:", error);
+      toast({
+        title: "Error",
+        description: "Failed to add agent to library. Please try again.",
+        variant: "destructive",
+      });
     }
-  };
+  }, [toast, api, storeListingVersionId, completeStep, router]);
+
+  const handleDownload = useCallback(async () => {
+    const downloadAgent = async (): Promise<void> => {
+      setDownloading(true);
+      try {
+        const file = await api.downloadStoreAgent(storeListingVersionId);
+
+        // Similar to Marketplace v1
+        const jsonData = JSON.stringify(file, null, 2);
+        // Create a Blob from the file content
+        const blob = new Blob([jsonData], { type: "application/json" });
+
+        // Create a temporary URL for the Blob
+        const url = window.URL.createObjectURL(blob);
+
+        // Create a temporary anchor element
+        const a = document.createElement("a");
+        a.href = url;
+        a.download = `agent_${storeListingVersionId}.json`; // Set the filename
+
+        // Append the anchor to the body, click it, and remove it
+        document.body.appendChild(a);
+        a.click();
+        document.body.removeChild(a);
+
+        // Revoke the temporary URL
+        window.URL.revokeObjectURL(url);
+
+        toast({
+          title: "Download Complete",
+          description: "Your agent has been successfully downloaded.",
+        });
+      } catch (error) {
+        console.error(`Error downloading agent:`, error);
+        toast({
+          title: "Error",
+          description: "Failed to download agent. Please try again.",
+          variant: "destructive",
+        });
+      }
+    };
+    await downloadAgent();
+    setDownloading(false);
+  }, [setDownloading, api, storeListingVersionId, toast]);
 
   return (
     <div className="w-full max-w-[396px] px-4 sm:px-6 lg:w-[396px] lg:px-0">
       {/* Title */}
-      <div className="font-poppins mb-3 w-full text-2xl font-medium leading-normal text-neutral-900 dark:text-neutral-100 sm:text-3xl lg:mb-4 lg:text-[35px] lg:leading-10">
+      <div
+        data-testid="agent-title"
+        className="mb-3 w-full font-poppins text-2xl font-medium leading-normal text-neutral-900 dark:text-neutral-100 sm:text-3xl lg:mb-4 lg:text-[35px] lg:leading-10"
+      >
         {name}
       </div>
 
       {/* Creator */}
       <div className="mb-3 flex w-full items-center gap-1.5 lg:mb-4">
-        <div className="font-geist text-base font-normal text-neutral-800 dark:text-neutral-200 sm:text-lg lg:text-xl">
+        <div className="text-base font-normal text-neutral-800 dark:text-neutral-200 sm:text-lg lg:text-xl">
           by
         </div>
-        <div className="font-geist text-base font-medium text-neutral-800 dark:text-neutral-200 sm:text-lg lg:text-xl">
+        <Link
+          data-testid={"agent-creator"}
+          href={`/marketplace/creator/${encodeURIComponent(creator)}`}
+          className="text-base font-medium text-neutral-800 hover:underline dark:text-neutral-200 sm:text-lg lg:text-xl"
+        >
           {creator}
-        </div>
+        </Link>
       </div>
 
       {/* Short Description */}
-      <div className="font-geist mb-4 line-clamp-2 w-full text-base font-normal leading-normal text-neutral-600 dark:text-neutral-300 sm:text-lg lg:mb-6 lg:text-xl lg:leading-7">
+      <div className="mb-4 line-clamp-2 w-full text-base font-normal leading-normal text-neutral-600 dark:text-neutral-300 sm:text-lg lg:mb-6 lg:text-xl lg:leading-7">
         {shortDescription}
       </div>
 
-      {/* Run Agent Button */}
-      <div className="mb-4 w-full lg:mb-6">
+      {/* Buttons */}
+      <div className="mb-4 flex w-full gap-3 lg:mb-[60px]">
+        {user && (
+          <button
+            className={cn(
+              "inline-flex min-w-24 items-center justify-center rounded-full bg-violet-600 px-4 py-3",
+              "transition-colors duration-200 hover:bg-violet-500 disabled:bg-zinc-400",
+            )}
+            data-testid={"agent-add-library-button"}
+            onClick={libraryAction}
+            disabled={adding}
+          >
+            <span className="justify-start font-sans text-sm font-medium leading-snug text-primary-foreground">
+              {libraryAgent ? "See runs" : "Add to library"}
+            </span>
+          </button>
+        )}
         <button
-          onClick={handleAddToLibrary}
-          className="inline-flex w-full items-center justify-center gap-2 rounded-[38px] bg-violet-600 px-4 py-3 transition-colors hover:bg-violet-700 sm:w-auto sm:gap-2.5 sm:px-5 sm:py-3.5 lg:px-6 lg:py-4"
+          className={cn(
+            "inline-flex min-w-24 items-center justify-center rounded-full bg-zinc-200 px-4 py-3",
+            "transition-colors duration-200 hover:bg-zinc-200/70 disabled:bg-zinc-200/40",
+          )}
+          data-testid={"agent-download-button"}
+          onClick={handleDownload}
+          disabled={downloading}
         >
-          <IconPlay className="h-5 w-5 text-white sm:h-5 sm:w-5 lg:h-6 lg:w-6" />
-          <span className="font-poppins text-base font-medium text-neutral-50 sm:text-lg">
-            Add To Library
-          </span>
+          <div className="justify-start text-center font-sans text-sm font-medium leading-snug text-zinc-800">
+            Download agent
+          </div>
         </button>
       </div>
 
       {/* Rating and Runs */}
-      <div className="mb-4 flex w-full items-center justify-between lg:mb-6">
+      <div className="mb-4 flex w-full items-center justify-between lg:mb-[44px]">
         <div className="flex items-center gap-1.5 sm:gap-2">
-          <span className="font-geist whitespace-nowrap text-base font-semibold text-neutral-800 dark:text-neutral-200 sm:text-lg">
+          <span className="whitespace-nowrap text-base font-semibold text-neutral-800 dark:text-neutral-200 sm:text-lg">
             {rating.toFixed(1)}
           </span>
           <div className="flex gap-0.5">{StarRatingIcons(rating)}</div>
         </div>
-        <div className="font-geist whitespace-nowrap text-base font-semibold text-neutral-800 dark:text-neutral-200 sm:text-lg">
+        <div className="whitespace-nowrap text-base font-semibold text-neutral-800 dark:text-neutral-200 sm:text-lg">
           {runs.toLocaleString()} runs
         </div>
       </div>
 
       {/* Separator */}
-      <Separator className="mb-4 lg:mb-6" />
+      <Separator className="mb-4 lg:mb-[44px]" />
 
       {/* Description Section */}
-      <div className="mb-4 w-full lg:mb-6">
-        <div className="mb-1.5 text-xs font-medium text-neutral-800 dark:text-neutral-200 sm:mb-2 sm:text-sm">
+      <div className="mb-4 w-full lg:mb-[36px]">
+        <div className="decoration-skip-ink-none mb-1.5 text-base font-medium leading-6 text-neutral-800 dark:text-neutral-200 sm:mb-2">
           Description
         </div>
-        <div className="font-geist w-full whitespace-pre-line text-sm font-normal text-neutral-600 dark:text-neutral-300 sm:text-base">
+        <div
+          data-testid={"agent-description"}
+          className="whitespace-pre-line text-base font-normal leading-6 text-neutral-600 dark:text-neutral-400"
+        >
           {longDescription}
         </div>
       </div>
 
       {/* Categories */}
-      <div className="mb-4 flex w-full flex-col gap-1.5 sm:gap-2 lg:mb-6">
-        <div className="text-xs font-medium text-neutral-800 dark:text-neutral-200 sm:text-sm">
+      <div className="mb-4 flex w-full flex-col gap-1.5 sm:gap-2 lg:mb-[36px]">
+        <div className="decoration-skip-ink-none mb-1.5 text-base font-medium leading-6 text-neutral-800 dark:text-neutral-200 sm:mb-2">
           Categories
         </div>
         <div className="flex flex-wrap gap-1.5 sm:gap-2">
           {categories.map((category, index) => (
             <div
               key={index}
-              className="whitespace-nowrap rounded-full border border-neutral-200 bg-white px-2 py-0.5 text-xs text-neutral-800 dark:border-neutral-700 dark:bg-neutral-800 dark:text-neutral-200 sm:px-3 sm:py-1 sm:text-sm"
+              className="decoration-skip-ink-none whitespace-nowrap rounded-full border border-neutral-600 bg-white px-2 py-0.5 text-base font-normal leading-6 text-neutral-800 underline-offset-[from-font] dark:border-neutral-700 dark:bg-neutral-800 dark:text-neutral-200 sm:px-[16px] sm:py-[10px]"
             >
               {category}
             </div>
@@ -124,10 +233,10 @@ export const AgentInfo: React.FC<AgentInfoProps> = ({
 
       {/* Version History */}
       <div className="flex w-full flex-col gap-0.5 sm:gap-1">
-        <div className="text-xs font-medium text-neutral-800 dark:text-neutral-200 sm:text-sm">
+        <div className="decoration-skip-ink-none mb-1.5 text-base font-medium leading-6 text-neutral-800 dark:text-neutral-200 sm:mb-2">
           Version history
         </div>
-        <div className="text-xs text-neutral-600 dark:text-neutral-400 sm:text-sm">
+        <div className="decoration-skip-ink-none text-base font-normal leading-6 text-neutral-600 underline-offset-[from-font] dark:text-neutral-400">
           Last updated {lastUpdated}
         </div>
         <div className="text-xs text-neutral-600 dark:text-neutral-400 sm:text-sm">
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentTable.stories.tsx b/autogpt_platform/frontend/src/components/agptui/AgentTable.stories.tsx
deleted file mode 100644
index 85595cc02280..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentTable.stories.tsx
+++ /dev/null
@@ -1,85 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { AgentTable } from "./AgentTable";
-import { AgentTableRowProps } from "./AgentTableRow";
-import { userEvent, within, expect } from "@storybook/test";
-import { StatusType } from "./Status";
-
-const meta: Meta<typeof AgentTable> = {
-  title: "AGPT UI/Agent Table",
-  component: AgentTable,
-  tags: ["autodocs"],
-};
-
-export default meta;
-type Story = StoryObj<typeof AgentTable>;
-
-const sampleAgents: AgentTableRowProps[] = [
-  {
-    id: "agent-1",
-    agentName: "Super Coder",
-    description: "An AI agent that writes clean, efficient code",
-    imageSrc:
-      "https://ddz4ak4pa3d19.cloudfront.net/cache/53/b2/53b2bc7d7900f0e1e60bf64ebf38032d.jpg",
-    dateSubmitted: "2023-05-15",
-    status: "approved",
-    runs: 1500,
-    rating: 4.8,
-    onEdit: () => console.log("Edit Super Coder"),
-  },
-  {
-    id: "agent-2",
-    agentName: "Data Analyzer",
-    description: "Processes and analyzes large datasets with ease",
-    imageSrc:
-      "https://ddz4ak4pa3d19.cloudfront.net/cache/40/f7/40f7bc97c952f8df0f9c88d29defe8d4.jpg",
-    dateSubmitted: "2023-05-10",
-    status: "awaiting_review",
-    runs: 1200,
-    rating: 4.5,
-    onEdit: () => console.log("Edit Data Analyzer"),
-  },
-  {
-    id: "agent-3",
-    agentName: "UI Designer",
-    description: "Creates beautiful and intuitive user interfaces",
-    imageSrc:
-      "https://ddz4ak4pa3d19.cloudfront.net/cache/14/9e/149ebb9014aa8c0097e72ed89845af0e.jpg",
-    dateSubmitted: "2023-05-05",
-    status: "draft",
-    runs: 800,
-    rating: 4.2,
-    onEdit: () => console.log("Edit UI Designer"),
-  },
-];
-
-export const Default: Story = {
-  args: {
-    agents: sampleAgents,
-  },
-};
-
-export const EmptyTable: Story = {
-  args: {
-    agents: [],
-  },
-};
-
-// Tests
-export const InteractionTest: Story = {
-  ...Default,
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const editButtons = await canvas.findAllByText("Edit");
-    await userEvent.click(editButtons[0]);
-    // You would typically assert something here, but console.log is used in the mocked function
-  },
-};
-
-export const EmptyTableTest: Story = {
-  ...EmptyTable,
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const emptyMessage = canvas.getByText("No agents found");
-    expect(emptyMessage).toBeTruthy();
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentTable.tsx b/autogpt_platform/frontend/src/components/agptui/AgentTable.tsx
deleted file mode 100644
index e6792c2605e7..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentTable.tsx
+++ /dev/null
@@ -1,107 +0,0 @@
-"use client";
-
-import * as React from "react";
-import { AgentTableRow, AgentTableRowProps } from "./AgentTableRow";
-import { AgentTableCard } from "./AgentTableCard";
-import { StoreSubmissionRequest } from "@/lib/autogpt-server-api/types";
-
-export interface AgentTableProps {
-  agents: AgentTableRowProps[];
-  onEditSubmission: (submission: StoreSubmissionRequest) => void;
-  onDeleteSubmission: (submission_id: string) => void;
-}
-
-export const AgentTable: React.FC<AgentTableProps> = ({
-  agents,
-  onEditSubmission,
-  onDeleteSubmission,
-}) => {
-  // Use state to track selected agents
-  const [selectedAgents, setSelectedAgents] = React.useState<Set<string>>(
-    new Set(),
-  );
-
-  // Handle select all checkbox
-  const handleSelectAll = React.useCallback(
-    (e: React.ChangeEvent<HTMLInputElement>) => {
-      if (e.target.checked) {
-        setSelectedAgents(new Set(agents.map((agent) => agent.id.toString())));
-      } else {
-        setSelectedAgents(new Set());
-      }
-    },
-    [agents],
-  );
-
-  return (
-    <div className="w-full">
-      {/* Table header - Hide on mobile */}
-      <div className="hidden flex-col md:flex">
-        <div className="border-t border-neutral-300 dark:border-neutral-700" />
-        <div className="flex items-center px-4 py-2">
-          <div className="flex items-center">
-            <div className="flex min-w-[120px] items-center">
-              <input
-                type="checkbox"
-                id="selectAllAgents"
-                aria-label="Select all agents"
-                className="mr-4 h-5 w-5 rounded border-2 border-neutral-400 dark:border-neutral-600"
-                checked={
-                  selectedAgents.size === agents.length && agents.length > 0
-                }
-                onChange={handleSelectAll}
-              />
-              <label
-                htmlFor="selectAllAgents"
-                className="text-sm font-medium text-neutral-800 dark:text-neutral-200"
-              >
-                Select all
-              </label>
-            </div>
-          </div>
-          <div className="ml-2 grid w-full grid-cols-[400px,150px,150px,100px,100px,50px] items-center">
-            <div className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
-              Agent info
-            </div>
-            <div className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
-              Date submitted
-            </div>
-            <div className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
-              Status
-            </div>
-            <div className="text-right text-sm font-medium text-neutral-800 dark:text-neutral-200">
-              Runs
-            </div>
-            <div className="text-right text-sm font-medium text-neutral-800 dark:text-neutral-200">
-              Reviews
-            </div>
-            <div></div>
-          </div>
-        </div>
-        <div className="border-b border-neutral-300 dark:border-neutral-700" />
-      </div>
-
-      {/* Table body */}
-      {agents.length > 0 ? (
-        <div className="flex flex-col">
-          {agents.map((agent, index) => (
-            <div key={agent.id} className="md:block">
-              <AgentTableRow
-                {...agent}
-                onEditSubmission={onEditSubmission}
-                onDeleteSubmission={onDeleteSubmission}
-              />
-              <div className="block md:hidden">
-                <AgentTableCard {...agent} />
-              </div>
-            </div>
-          ))}
-        </div>
-      ) : (
-        <div className="py-4 text-center font-['Geist'] text-base text-neutral-600 dark:text-neutral-400">
-          No agents available. Create your first agent to get started!
-        </div>
-      )}
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentTableCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/AgentTableCard.stories.tsx
deleted file mode 100644
index a696037454f6..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentTableCard.stories.tsx
+++ /dev/null
@@ -1,65 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { AgentTableCard } from "./AgentTableCard";
-import { userEvent, within, expect } from "@storybook/test";
-import { type StatusType } from "./Status";
-
-const meta: Meta<typeof AgentTableCard> = {
-  title: "AGPT UI/Agent Table Card",
-  component: AgentTableCard,
-  tags: ["autodocs"],
-};
-
-export default meta;
-type Story = StoryObj<typeof AgentTableCard>;
-
-export const Default: Story = {
-  args: {
-    agentName: "Super Coder",
-    description: "An AI agent that writes clean, efficient code",
-    imageSrc:
-      "https://ddz4ak4pa3d19.cloudfront.net/cache/53/b2/53b2bc7d7900f0e1e60bf64ebf38032d.jpg",
-    dateSubmitted: "2023-05-15",
-    status: "ACTIVE" as StatusType,
-    runs: 1500,
-    rating: 4.8,
-    onEdit: () => console.log("Edit Super Coder"),
-  },
-};
-
-export const NoRating: Story = {
-  args: {
-    ...Default.args,
-    rating: undefined,
-  },
-};
-
-export const NoRuns: Story = {
-  args: {
-    ...Default.args,
-    runs: undefined,
-  },
-};
-
-export const InactiveAgent: Story = {
-  args: {
-    ...Default.args,
-    status: "INACTIVE" as StatusType,
-  },
-};
-
-export const LongDescription: Story = {
-  args: {
-    ...Default.args,
-    description:
-      "This is a very long description that should wrap to multiple lines. It contains detailed information about the agent and its capabilities.",
-  },
-};
-
-export const InteractionTest: Story = {
-  ...Default,
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const moreButton = canvas.getByRole("button");
-    await userEvent.click(moreButton);
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentTableCard.tsx b/autogpt_platform/frontend/src/components/agptui/AgentTableCard.tsx
deleted file mode 100644
index 0c948caea711..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentTableCard.tsx
+++ /dev/null
@@ -1,95 +0,0 @@
-"use client";
-
-import * as React from "react";
-import Image from "next/image";
-import { IconStarFilled, IconMore } from "@/components/ui/icons";
-import { Status, StatusType } from "./Status";
-
-export interface AgentTableCardProps {
-  agent_id: string;
-  agent_version: number;
-  agentName: string;
-  sub_heading: string;
-  description: string;
-  imageSrc: string[];
-  dateSubmitted: string;
-  status: StatusType;
-  runs: number;
-  rating: number;
-  id: number;
-  onEditSubmission: (submission: StoreSubmissionRequest) => void;
-}
-
-export const AgentTableCard: React.FC<AgentTableCardProps> = ({
-  agent_id,
-  agent_version,
-  agentName,
-  sub_heading,
-  description,
-  imageSrc,
-  dateSubmitted,
-  status,
-  runs,
-  rating,
-  id,
-  onEditSubmission,
-}) => {
-  const onEdit = () => {
-    console.log("Edit agent", agentName);
-    onEditSubmission({
-      agent_id,
-      agent_version,
-      slug: "",
-      name: agentName,
-      sub_heading,
-      description,
-      image_urls: imageSrc,
-      categories: [],
-    });
-  };
-
-  return (
-    <div className="border-b border-neutral-300 p-4 dark:border-neutral-700">
-      <div className="flex gap-4">
-        <div className="relative h-[56px] w-[100px] overflow-hidden rounded-lg bg-[#d9d9d9] dark:bg-neutral-800">
-          <Image
-            src={imageSrc?.[0] ?? "/nada.png"}
-            alt={agentName}
-            fill
-            style={{ objectFit: "cover" }}
-          />
-        </div>
-        <div className="flex-1">
-          <h3 className="text-[15px] font-medium text-neutral-800 dark:text-neutral-200">
-            {agentName}
-          </h3>
-          <p className="line-clamp-2 text-sm text-neutral-600 dark:text-neutral-400">
-            {description}
-          </p>
-        </div>
-        <button
-          onClick={onEdit}
-          className="h-fit rounded-full p-1 hover:bg-neutral-100 dark:hover:bg-neutral-700"
-        >
-          <IconMore className="h-5 w-5 text-neutral-800 dark:text-neutral-200" />
-        </button>
-      </div>
-
-      <div className="mt-4 flex flex-wrap gap-4">
-        <Status status={status} />
-        <div className="text-sm text-neutral-600 dark:text-neutral-400">
-          {dateSubmitted}
-        </div>
-        <div className="text-sm text-neutral-600 dark:text-neutral-400">
-          {runs.toLocaleString()} runs
-        </div>
-        <div className="flex items-center gap-1">
-          <span className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
-            {rating.toFixed(1)}
-          </span>
-          <IconStarFilled className="h-4 w-4 text-neutral-800 dark:text-neutral-200" />
-        </div>
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/AgentTableRow.tsx b/autogpt_platform/frontend/src/components/agptui/AgentTableRow.tsx
deleted file mode 100644
index c0b42e243e97..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/AgentTableRow.tsx
+++ /dev/null
@@ -1,170 +0,0 @@
-"use client";
-
-import * as React from "react";
-import Image from "next/image";
-import { IconStarFilled, IconMore, IconEdit } from "@/components/ui/icons";
-import { Status, StatusType } from "./Status";
-import * as ContextMenu from "@radix-ui/react-context-menu";
-import { TrashIcon } from "@radix-ui/react-icons";
-import { StoreSubmissionRequest } from "@/lib/autogpt-server-api/types";
-
-export interface AgentTableRowProps {
-  agent_id: string;
-  agent_version: number;
-  agentName: string;
-  sub_heading: string;
-  description: string;
-  imageSrc: string[];
-  date_submitted: string;
-  status: StatusType;
-  runs: number;
-  rating: number;
-  dateSubmitted: string;
-  id: number;
-  onEditSubmission: (submission: StoreSubmissionRequest) => void;
-  onDeleteSubmission: (submission_id: string) => void;
-}
-
-export const AgentTableRow: React.FC<AgentTableRowProps> = ({
-  agent_id,
-  agent_version,
-  agentName,
-  sub_heading,
-  description,
-  imageSrc,
-  dateSubmitted,
-  status,
-  runs,
-  rating,
-  id,
-  onEditSubmission,
-  onDeleteSubmission,
-}) => {
-  // Create a unique ID for the checkbox
-  const checkboxId = `agent-${id}-checkbox`;
-
-  const handleEdit = React.useCallback(() => {
-    onEditSubmission({
-      agent_id,
-      agent_version,
-      slug: "",
-      name: agentName,
-      sub_heading,
-      description,
-      image_urls: imageSrc,
-      categories: [],
-    } as StoreSubmissionRequest);
-  }, [
-    agent_id,
-    agent_version,
-    agentName,
-    sub_heading,
-    description,
-    imageSrc,
-    onEditSubmission,
-  ]);
-
-  const handleDelete = React.useCallback(() => {
-    onDeleteSubmission(agent_id);
-  }, [agent_id, onDeleteSubmission]);
-
-  return (
-    <div className="hidden items-center border-b border-neutral-300 px-4 py-4 hover:bg-neutral-50 dark:border-neutral-700 dark:hover:bg-neutral-800 md:flex">
-      <div className="flex items-center">
-        <div className="flex items-center">
-          <input
-            type="checkbox"
-            id={checkboxId}
-            aria-label={`Select ${agentName}`}
-            className="mr-4 h-5 w-5 rounded border-2 border-neutral-400 dark:border-neutral-600"
-          />
-          {/* Single label instead of multiple */}
-          <label htmlFor={checkboxId} className="sr-only">
-            Select {agentName}
-          </label>
-        </div>
-      </div>
-
-      <div className="grid w-full grid-cols-[minmax(400px,1fr),180px,140px,100px,100px,40px] items-center gap-4">
-        {/* Agent info column */}
-        <div className="flex items-center gap-4">
-          <div className="relative h-[70px] w-[125px] overflow-hidden rounded-[10px] bg-[#d9d9d9] dark:bg-neutral-700">
-            <Image
-              src={imageSrc?.[0] ?? "/nada.png"}
-              alt={agentName}
-              fill
-              style={{ objectFit: "cover" }}
-            />
-          </div>
-          <div className="flex flex-col">
-            <h3 className="text-[15px] font-medium text-neutral-800 dark:text-neutral-200">
-              {agentName}
-            </h3>
-            <p className="line-clamp-2 text-sm text-neutral-600 dark:text-neutral-400">
-              {description}
-            </p>
-          </div>
-        </div>
-
-        {/* Date column */}
-        <div className="pl-14 text-sm text-neutral-600 dark:text-neutral-400">
-          {dateSubmitted}
-        </div>
-
-        {/* Status column */}
-        <div>
-          <Status status={status} />
-        </div>
-
-        {/* Runs column */}
-        <div className="text-right text-sm text-neutral-600 dark:text-neutral-400">
-          {runs?.toLocaleString() ?? "0"}
-        </div>
-
-        {/* Reviews column */}
-        <div className="text-right">
-          {rating ? (
-            <div className="flex items-center justify-end gap-1">
-              <span className="text-sm font-medium text-neutral-800 dark:text-neutral-200">
-                {rating.toFixed(1)}
-              </span>
-              <IconStarFilled className="h-4 w-4 text-neutral-800 dark:text-neutral-200" />
-            </div>
-          ) : (
-            <span className="text-sm text-neutral-600 dark:text-neutral-400">
-              No reviews
-            </span>
-          )}
-        </div>
-
-        {/* Actions - Three dots menu */}
-        <div className="flex justify-end">
-          <ContextMenu.Root>
-            <ContextMenu.Trigger>
-              <button className="rounded-full p-1 hover:bg-neutral-100 dark:hover:bg-neutral-700">
-                <IconMore className="h-5 w-5 text-neutral-800 dark:text-neutral-200" />
-              </button>
-            </ContextMenu.Trigger>
-            <ContextMenu.Content className="z-10 rounded-xl border bg-white p-1 shadow-md dark:bg-gray-800">
-              <ContextMenu.Item
-                onSelect={handleEdit}
-                className="flex cursor-pointer items-center rounded-md px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700"
-              >
-                <IconEdit className="mr-2 h-5 w-5 dark:text-gray-100" />
-                <span className="dark:text-gray-100">Edit</span>
-              </ContextMenu.Item>
-              <ContextMenu.Separator className="my-1 h-px bg-gray-300 dark:bg-gray-600" />
-              <ContextMenu.Item
-                onSelect={handleDelete}
-                className="flex cursor-pointer items-center rounded-md px-3 py-2 text-red-500 hover:bg-gray-100 dark:hover:bg-gray-700"
-              >
-                <TrashIcon className="mr-2 h-5 w-5 text-red-500 dark:text-red-400" />
-                <span className="dark:text-red-400">Delete</span>
-              </ContextMenu.Item>
-            </ContextMenu.Content>
-          </ContextMenu.Root>
-        </div>
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/BecomeACreator.stories.tsx b/autogpt_platform/frontend/src/components/agptui/BecomeACreator.stories.tsx
deleted file mode 100644
index 58f830d212ca..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/BecomeACreator.stories.tsx
+++ /dev/null
@@ -1,62 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { BecomeACreator } from "./BecomeACreator";
-import { userEvent, within } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Become A Creator",
-  component: BecomeACreator,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    title: { control: "text" },
-    heading: { control: "text" },
-    description: { control: "text" },
-    buttonText: { control: "text" },
-    onButtonClick: { action: "buttonClicked" },
-  },
-} satisfies Meta<typeof BecomeACreator>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    title: "Want to contribute?",
-    heading: "We're always looking for more Creators!",
-    description: "Join our ever-growing community of hackers and tinkerers",
-    buttonText: "Become a Creator",
-    onButtonClick: () => console.log("Button clicked"),
-  },
-};
-
-export const CustomText: Story = {
-  args: {
-    title: "Become a Creator Today!",
-    heading: "Join Our Creator Community",
-    description: "Share your ideas and build amazing AI agents with us",
-    buttonText: "Start Creating",
-    onButtonClick: () => console.log("Custom button clicked"),
-  },
-};
-
-export const LongDescription: Story = {
-  args: {
-    ...Default.args,
-    description:
-      "Join our vibrant community of innovators, developers, and AI enthusiasts. Share your unique perspectives, collaborate on groundbreaking projects, and help shape the future of AI technology.",
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    ...Default.args,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByText("Become a Creator");
-
-    await userEvent.click(button);
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/BecomeACreator.tsx b/autogpt_platform/frontend/src/components/agptui/BecomeACreator.tsx
index d41073cc1e36..954ac1dd33db 100644
--- a/autogpt_platform/frontend/src/components/agptui/BecomeACreator.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/BecomeACreator.tsx
@@ -1,38 +1,29 @@
 "use client";
 
 import * as React from "react";
-import { PublishAgentPopout } from "./composite/PublishAgentPopout";
+import { PublishAgentModal } from "../contextual/PublishAgentModal/PublishAgentModal";
+
 interface BecomeACreatorProps {
   title?: string;
   description?: string;
   buttonText?: string;
-  onButtonClick?: () => void;
 }
 
-export const BecomeACreator: React.FC<BecomeACreatorProps> = ({
+export function BecomeACreator({
   title = "Become a creator",
   description = "Join a community where your AI creations can inspire, engage, and be downloaded by users around the world.",
   buttonText = "Upload your agent",
-  onButtonClick,
-}) => {
-  const handleButtonClick = () => {
-    onButtonClick?.();
-    console.log("Become A Creator clicked");
-  };
-
+}: BecomeACreatorProps) {
   return (
     <div className="relative mx-auto h-auto min-h-[300px] w-full max-w-[1360px] md:min-h-[400px] lg:h-[459px]">
-      {/* Top border */}
-      <div className="left-0 top-0 h-px w-full bg-gray-200 dark:bg-gray-700" />
-
       {/* Title */}
-      <h2 className="mb-8 mt-6 text-2xl leading-7 text-neutral-800 dark:text-neutral-200">
+      <h2 className="mb-[77px] font-poppins text-[18px] font-semibold leading-[28px] text-neutral-800 dark:text-neutral-200">
         {title}
       </h2>
 
       {/* Content Container */}
-      <div className="absolute left-1/2 top-1/2 w-full max-w-[900px] -translate-x-1/2 -translate-y-1/2 px-4 pt-16 text-center md:px-6 md:pt-10 lg:px-0">
-        <h2 className="font-poppins mb-6 text-3xl font-semibold leading-tight text-neutral-950 dark:text-neutral-50 md:mb-8 md:text-4xl md:leading-[1.2] lg:mb-12 lg:text-5xl lg:leading-[54px]">
+      <div className="mx-auto w-full max-w-[900px] px-4 text-center md:px-6 lg:px-0">
+        <h2 className="mb-6 text-center font-poppins text-[48px] font-semibold leading-[54px] tracking-[-0.012em] text-neutral-950 dark:text-neutral-50 md:mb-8 lg:mb-12">
           Build AI agents and share
           <br />
           <span className="text-violet-600 dark:text-violet-400">
@@ -41,17 +32,14 @@ export const BecomeACreator: React.FC<BecomeACreatorProps> = ({
           vision
         </h2>
 
-        <p className="font-geist mx-auto mb-8 max-w-[90%] text-lg font-normal leading-relaxed text-neutral-700 dark:text-neutral-300 md:mb-10 md:text-xl md:leading-loose lg:mb-14 lg:text-2xl">
+        <p className="mx-auto mb-8 max-w-[90%] text-lg font-normal leading-relaxed text-neutral-700 dark:text-neutral-300 md:mb-10 md:text-xl md:leading-loose lg:mb-14 lg:text-2xl">
           {description}
         </p>
 
-        <PublishAgentPopout
+        <PublishAgentModal
           trigger={
-            <button
-              onClick={handleButtonClick}
-              className="inline-flex h-[48px] cursor-pointer items-center justify-center rounded-[38px] bg-neutral-800 px-8 py-3 transition-colors hover:bg-neutral-700 dark:bg-neutral-700 dark:hover:bg-neutral-600 md:h-[56px] md:px-10 md:py-4 lg:h-[68px] lg:px-12 lg:py-5"
-            >
-              <span className="font-poppins whitespace-nowrap text-base font-medium leading-normal text-neutral-50 md:text-lg md:leading-relaxed lg:text-xl lg:leading-7">
+            <button className="inline-flex h-[48px] cursor-pointer items-center justify-center rounded-[38px] bg-neutral-800 px-8 py-3 transition-colors hover:bg-neutral-700 dark:bg-neutral-700 dark:hover:bg-neutral-600 md:h-[56px] md:px-10 md:py-4 lg:h-[68px] lg:px-12 lg:py-5">
+              <span className="whitespace-nowrap font-poppins text-base font-medium leading-normal text-neutral-50 md:text-lg md:leading-relaxed lg:text-xl lg:leading-7">
                 {buttonText}
               </span>
             </button>
@@ -60,4 +48,4 @@ export const BecomeACreator: React.FC<BecomeACreatorProps> = ({
       </div>
     </div>
   );
-};
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/BreadCrumbs.stories.tsx b/autogpt_platform/frontend/src/components/agptui/BreadCrumbs.stories.tsx
deleted file mode 100644
index c94d6040a6cf..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/BreadCrumbs.stories.tsx
+++ /dev/null
@@ -1,79 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { BreadCrumbs } from "./BreadCrumbs";
-import { userEvent, within } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/BreadCrumbs",
-  component: BreadCrumbs,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    items: { control: "object" },
-  },
-} satisfies Meta<typeof BreadCrumbs>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    items: [
-      { name: "Home", link: "/" },
-      { name: "Agents", link: "/agents" },
-      { name: "SEO Optimizer", link: "/agents/seo-optimizer" },
-    ],
-  },
-};
-
-export const SingleItem: Story = {
-  args: {
-    items: [{ name: "Home", link: "/" }],
-  },
-};
-
-export const LongPath: Story = {
-  args: {
-    items: [
-      { name: "Home", link: "/" },
-      { name: "Categories", link: "/categories" },
-      { name: "AI Tools", link: "/categories/ai-tools" },
-      { name: "Data Analysis", link: "/categories/ai-tools/data-analysis" },
-      {
-        name: "Data Analyzer",
-        link: "/categories/ai-tools/data-analysis/data-analyzer",
-      },
-    ],
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    items: [
-      { name: "Home", link: "/" },
-      { name: "Agents", link: "/agents" },
-      { name: "Task Planner", link: "/agents/task-planner" },
-    ],
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const homeLink = canvas.getByText("Home");
-
-    await userEvent.hover(homeLink);
-    await userEvent.click(homeLink);
-  },
-};
-
-export const LongNames: Story = {
-  args: {
-    items: [
-      { name: "Home", link: "/" },
-      { name: "AI-Powered Writing Assistants", link: "/ai-writing-assistants" },
-      {
-        name: "Advanced Grammar and Style Checker",
-        link: "/ai-writing-assistants/grammar-style-checker",
-      },
-    ],
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/BreadCrumbs.tsx b/autogpt_platform/frontend/src/components/agptui/BreadCrumbs.tsx
deleted file mode 100644
index 5fadd00f52a9..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/BreadCrumbs.tsx
+++ /dev/null
@@ -1,43 +0,0 @@
-import * as React from "react";
-import Link from "next/link";
-import { IconLeftArrow, IconRightArrow } from "@/components/ui/icons";
-
-interface BreadcrumbItem {
-  name: string;
-  link: string;
-}
-
-interface BreadCrumbsProps {
-  items: BreadcrumbItem[];
-}
-
-export const BreadCrumbs: React.FC<BreadCrumbsProps> = ({ items }) => {
-  return (
-    <div className="flex items-center gap-4">
-      {/* 
-      Commented out for now, but keeping until we have approval to remove
-      <button className="flex h-12 w-12 items-center justify-center rounded-full border border-neutral-200 transition-colors hover:bg-neutral-50 dark:border-neutral-700 dark:hover:bg-neutral-800">
-        <IconLeftArrow className="h-5 w-5 text-neutral-900 dark:text-neutral-100" />
-      </button>
-      <button className="flex h-12 w-12 items-center justify-center rounded-full border border-neutral-200 transition-colors hover:bg-neutral-50 dark:border-neutral-700 dark:hover:bg-neutral-800">
-        <IconRightArrow className="h-5 w-5 text-neutral-900 dark:text-neutral-100" />
-      </button> */}
-      <div className="flex h-auto min-h-[4.375rem] flex-wrap items-center justify-start gap-4 rounded-[5rem] bg-white dark:bg-neutral-900">
-        {items.map((item, index) => (
-          <React.Fragment key={index}>
-            <Link href={item.link}>
-              <span className="rounded py-1 pr-2 font-neue text-xl font-medium leading-9 tracking-tight text-[#272727] transition-colors duration-200 hover:text-gray-400 dark:text-neutral-100 dark:hover:text-gray-500">
-                {item.name}
-              </span>
-            </Link>
-            {index < items.length - 1 && (
-              <span className="font-['SF Pro'] text-center text-2xl font-normal text-black dark:text-neutral-100">
-                /
-              </span>
-            )}
-          </React.Fragment>
-        ))}
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Button.stories.tsx b/autogpt_platform/frontend/src/components/agptui/Button.stories.tsx
deleted file mode 100644
index 2f97449f3a2c..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/Button.stories.tsx
+++ /dev/null
@@ -1,220 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { Button } from "./Button";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Button",
-  component: Button,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    variant: {
-      control: "select",
-      options: [
-        "default",
-        "destructive",
-        "outline",
-        "secondary",
-        "ghost",
-        "link",
-      ],
-    },
-    size: {
-      control: "select",
-      options: ["default", "sm", "lg", "primary", "icon"],
-    },
-    disabled: {
-      control: "boolean",
-    },
-    asChild: {
-      control: "boolean",
-    },
-    children: {
-      control: "text",
-    },
-    onClick: { action: "clicked" },
-  },
-} satisfies Meta<typeof Button>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: "Button",
-  },
-};
-
-export const Interactive: Story = {
-  args: {
-    children: "Interactive Button",
-  },
-  argTypes: {
-    onClick: { action: "clicked" },
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Interactive Button/i });
-    await userEvent.click(button);
-    await expect(button).toHaveFocus();
-  },
-};
-
-export const Variants: Story = {
-  render: (args) => (
-    <div className="flex flex-wrap gap-2">
-      <Button {...args} variant="default">
-        Default
-      </Button>
-      <Button {...args} variant="destructive">
-        Destructive
-      </Button>
-      <Button {...args} variant="outline">
-        Outline
-      </Button>
-      <Button {...args} variant="secondary">
-        Secondary
-      </Button>
-      <Button {...args} variant="ghost">
-        Ghost
-      </Button>
-      <Button {...args} variant="link">
-        Link
-      </Button>
-    </div>
-  ),
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const buttons = canvas.getAllByRole("button");
-    await expect(buttons).toHaveLength(6);
-    for (const button of buttons) {
-      await userEvent.hover(button);
-      await expect(button).toHaveAttribute(
-        "class",
-        expect.stringContaining("hover:"),
-      );
-    }
-  },
-};
-export const Sizes: Story = {
-  render: (args) => (
-    <div className="flex flex-wrap items-center gap-2">
-      <Button {...args} size="sm">
-        Small
-      </Button>
-      <Button {...args} size="default">
-        Default
-      </Button>
-      <Button {...args} size="lg">
-        Large
-      </Button>
-      <Button {...args} size="primary">
-        Primary
-      </Button>
-      <Button {...args} size="icon">
-        🚀
-      </Button>
-    </div>
-  ),
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const buttons = canvas.getAllByRole("button");
-    await expect(buttons).toHaveLength(5);
-    const sizeClasses = [
-      "h-8 px-3 py-1.5 text-xs",
-      "h-10 px-4 py-2 text-sm",
-      "h-12 px-5 py-2.5 text-lg",
-      "h-10 w-28",
-      "h-10 w-10",
-    ];
-    for (let i = 0; i < buttons.length; i++) {
-      await expect(buttons[i]).toHaveAttribute(
-        "class",
-        expect.stringContaining(sizeClasses[i]),
-      );
-    }
-  },
-};
-
-export const Disabled: Story = {
-  args: {
-    children: "Disabled Button",
-    disabled: true,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Disabled Button/i });
-    await expect(button).toBeDisabled();
-    await expect(button).toHaveAttribute(
-      "class",
-      expect.stringContaining("disabled:opacity-50"),
-    );
-    await expect(button).not.toHaveFocus();
-  },
-};
-
-export const WithIcon: Story = {
-  args: {
-    children: (
-      <>
-        <svg
-          xmlns="http://www.w3.org/2000/svg"
-          width="24"
-          height="24"
-          viewBox="0 0 24 24"
-          fill="none"
-          stroke="currentColor"
-          strokeWidth="2"
-          strokeLinecap="round"
-          strokeLinejoin="round"
-          className="mr-2 h-4 w-4"
-        >
-          <path d="M15 6v12a3 3 0 1 0 3-3H6a3 3 0 1 0 3 3V6a3 3 0 1 0-3 3h12a3 3 0 1 0-3-3" />
-        </svg>
-        Button with Icon
-      </>
-    ),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Button with Icon/i });
-    const icon = button.querySelector("svg");
-    await expect(icon).toBeInTheDocument();
-    await expect(button).toHaveTextContent("Button with Icon");
-  },
-};
-
-export const LoadingState: Story = {
-  args: {
-    children: "Loading...",
-    disabled: true,
-  },
-  render: (args) => (
-    <Button {...args}>
-      <svg
-        className="mr-2 h-4 w-4 animate-spin"
-        xmlns="http://www.w3.org/2000/svg"
-        width="24"
-        height="24"
-        viewBox="0 0 24 24"
-        fill="none"
-        stroke="currentColor"
-        strokeWidth="2"
-        strokeLinecap="round"
-        strokeLinejoin="round"
-      >
-        <path d="M21 12a9 9 0 1 1-6.219-8.56" />
-      </svg>
-      {args.children}
-    </Button>
-  ),
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Loading.../i });
-    await expect(button).toBeDisabled();
-    const spinner = button.querySelector("svg");
-    await expect(spinner).toHaveClass("animate-spin");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Button.tsx b/autogpt_platform/frontend/src/components/agptui/Button.tsx
index e2ffc1bd05f0..5a32394f3baa 100644
--- a/autogpt_platform/frontend/src/components/agptui/Button.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/Button.tsx
@@ -1,3 +1,5 @@
+"use client";
+
 import * as React from "react";
 import { Slot } from "@radix-ui/react-slot";
 import { cva, type VariantProps } from "class-variance-authority";
@@ -5,34 +7,34 @@ import { cva, type VariantProps } from "class-variance-authority";
 import { cn } from "@/lib/utils";
 
 const buttonVariants = cva(
-  "inline-flex items-center justify-center whitespace-nowrap rounded-[80px] text-xl font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-neutral-300 font-neue leading-9 tracking-tight",
+  "inline-flex items-center whitespace-nowrap overflow-hidden font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-neutral-300 font-sans leading-9 tracking-tight",
   {
     variants: {
       variant: {
-        default:
-          "bg-white border border-black/50 text-[#272727] hover:bg-neutral-100 dark:bg-neutral-800 dark:text-neutral-100 dark:hover:bg-neutral-700",
         destructive:
           "bg-red-600 text-neutral-50 border border-red-500/50 hover:bg-red-500/90 dark:bg-red-700 dark:text-neutral-50 dark:hover:bg-red-600",
+        accent: "bg-accent text-accent-foreground hover:bg-violet-500",
+        primary: "bg-zinc-700 text-white hover:bg-zinc-800 text-white",
         outline:
-          "bg-white border border-black/50 text-[#272727] hover:bg-neutral-100 dark:bg-neutral-800 dark:text-neutral-100 dark:hover:bg-neutral-700",
+          "border border-black/50 text-neutral-800 hover:bg-neutral-100 dark:bg-neutral-800 dark:text-neutral-100 dark:hover:bg-neutral-700",
         secondary:
-          "bg-neutral-100 text-[#272727] border border-neutral-200 hover:bg-neutral-100/80 dark:bg-neutral-700 dark:text-neutral-100 dark:border-neutral-600 dark:hover:bg-neutral-600",
+          "bg-neutral-100 text-neutral-800 border border-neutral-200 hover:bg-neutral-100/80 dark:bg-neutral-700 dark:text-neutral-100 dark:border-neutral-600 dark:hover:bg-neutral-600",
         ghost:
-          "hover:bg-neutral-100 text-[#272727] dark:text-neutral-100 dark:hover:bg-neutral-700",
-        link: "text-[#272727] underline-offset-4 hover:underline dark:text-neutral-100",
+          "hover:bg-neutral-100 text-neutral-800 dark:text-neutral-100 dark:hover:bg-neutral-700",
+        link: "text-neutral-800 underline-offset-4 hover:underline dark:text-neutral-100",
       },
       size: {
-        default:
-          "h-10 px-4 py-2 text-sm sm:h-12 sm:px-5 sm:py-2.5 sm:text-base md:h-14 md:px-6 md:py-3 md:text-lg lg:h-[4.375rem] lg:px-[1.625rem] lg:py-[0.4375rem] lg:text-xl",
-        sm: "h-8 px-3 py-1.5 text-xs sm:h-9 sm:px-3.5 sm:py-2 sm:text-sm md:h-10 md:px-4 md:py-2 md:text-base lg:h-[3.125rem] lg:px-[1.25rem] lg:py-[0.3125rem] lg:text-sm",
-        lg: "h-12 px-5 py-2.5 text-lg sm:h-14 sm:px-6 sm:py-3 sm:text-xl md:h-16 md:px-7 md:py-3.5 md:text-2xl lg:h-[5.625rem] lg:px-[2rem] lg:py-[0.5625rem] lg:text-2xl",
+        default: "h-10 px-4 py-2 rounded-full text-sm",
+        sm: "h-8 px-3 py-1.5 rounded-full text-xs",
+        lg: "h-12 px-5 py-2.5 rounded-full text-lg",
         primary:
-          "h-10 w-28 sm:h-12 sm:w-32 md:h-[4.375rem] md:w-[11rem] lg:h-[3.125rem] lg:w-[7rem]",
-        icon: "h-10 w-10 sm:h-12 sm:w-12 md:h-14 md:w-14 lg:h-[4.375rem] lg:w-[4.375rem]",
+          "h-10 w-28 rounded-full sm:h-12 sm:w-32 md:h-[4.375rem] md:w-[11rem] lg:h-[3.125rem] lg:w-[7rem]",
+        icon: "h-10 w-10 justify-center",
+        card: "h-12 p-5 agpt-rounded-card justify-center text-lg",
       },
     },
     defaultVariants: {
-      variant: "default",
+      variant: "outline",
       size: "default",
     },
   },
@@ -43,24 +45,51 @@ export interface ButtonProps
     VariantProps<typeof buttonVariants> {
   asChild?: boolean;
   variant?:
-    | "default"
     | "destructive"
+    | "accent"
+    | "primary"
     | "outline"
     | "secondary"
     | "ghost"
     | "link";
-  size?: "default" | "sm" | "lg" | "primary" | "icon";
+
+  size?: "default" | "sm" | "lg" | "primary" | "icon" | "card";
 }
 
 const Button = React.forwardRef<HTMLButtonElement, ButtonProps>(
-  ({ className, variant, size, asChild = false, ...props }, ref) => {
+  ({ className, variant, size, asChild = false, onClick, ...props }, ref) => {
+    const [isLoading, setIsLoading] = React.useState(false);
     const Comp = asChild ? Slot : "button";
+
+    const handleClick = async (e: React.MouseEvent<HTMLButtonElement>) => {
+      if (!onClick) return;
+
+      try {
+        setIsLoading(true);
+        const result: any = onClick(e);
+        if (result instanceof Promise) {
+          await result;
+        }
+      } finally {
+        setIsLoading(false);
+      }
+    };
+
     return (
       <Comp
-        className={cn(buttonVariants({ variant, size, className }))}
+        className={cn("relative", buttonVariants({ variant, size, className }))}
         ref={ref}
+        onClick={handleClick}
+        disabled={props.disabled}
         {...props}
-      />
+      >
+        {props.children}
+        {isLoading && (
+          <div className="absolute inset-0 flex items-center justify-center bg-background/60">
+            <div className="h-4 w-4 animate-spin rounded-full border-2 border-current border-t-transparent" />
+          </div>
+        )}
+      </Comp>
     );
   },
 );
diff --git a/autogpt_platform/frontend/src/components/agptui/CreatorCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/CreatorCard.stories.tsx
deleted file mode 100644
index d11aad5e748a..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/CreatorCard.stories.tsx
+++ /dev/null
@@ -1,78 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { CreatorCard } from "./CreatorCard";
-import { userEvent, within } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Creator Card",
-  component: CreatorCard,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    creatorName: { control: "text" },
-    creatorImage: { control: "text" },
-    bio: { control: "text" },
-    agentsUploaded: { control: "number" },
-    onClick: { action: "clicked" },
-    avatarSrc: { control: "text" },
-  },
-} satisfies Meta<typeof CreatorCard>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    creatorName: "John Doe",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    bio: "AI enthusiast and developer with a passion for creating innovative agents.",
-    agentsUploaded: 15,
-    onClick: () => console.log("Default CreatorCard clicked"),
-    avatarSrc: "https://github.com/shadcn.png",
-  },
-};
-
-export const NewCreator: Story = {
-  args: {
-    creatorName: "Jane Smith",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    bio: "Excited to start my journey in AI agent development!",
-    agentsUploaded: 1,
-    onClick: () => console.log("NewCreator CreatorCard clicked"),
-    avatarSrc: "https://example.com/avatar2.jpg",
-  },
-};
-
-export const ExperiencedCreator: Story = {
-  args: {
-    creatorName: "Alex Johnson",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    bio: "Veteran AI researcher with a focus on natural language processing and machine learning.",
-    agentsUploaded: 50,
-    onClick: () => console.log("ExperiencedCreator CreatorCard clicked"),
-    avatarSrc: "https://example.com/avatar3.jpg",
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    creatorName: "Sam Brown",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    bio: "Exploring the frontiers of AI and its applications in everyday life.",
-    agentsUploaded: 30,
-    onClick: () => console.log("WithInteraction CreatorCard clicked"),
-    avatarSrc: "https://example.com/avatar4.jpg",
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const creatorCard = canvas.getByText("Sam Brown");
-
-    await userEvent.hover(creatorCard);
-    await userEvent.click(creatorCard);
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/CreatorCard.tsx b/autogpt_platform/frontend/src/components/agptui/CreatorCard.tsx
index 660ff61df69e..918d09f506ac 100644
--- a/autogpt_platform/frontend/src/components/agptui/CreatorCard.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/CreatorCard.tsx
@@ -54,10 +54,10 @@ export const CreatorCard: React.FC<CreatorCardProps> = ({
         <h3 className="font-poppins text-2xl font-semibold leading-tight text-neutral-900 dark:text-neutral-100">
           {creatorName}
         </h3>
-        <p className="font-geist text-sm font-normal leading-normal text-neutral-600 dark:text-neutral-400">
+        <p className="text-sm font-normal leading-normal text-neutral-600 dark:text-neutral-400">
           {bio}
         </p>
-        <div className="font-geist text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+        <div className="text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
           {agentsUploaded} agents
         </div>
       </div>
diff --git a/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.stories.tsx
deleted file mode 100644
index 820fcbb87bf3..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.stories.tsx
+++ /dev/null
@@ -1,55 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { CreatorInfoCard } from "./CreatorInfoCard";
-
-const meta = {
-  title: "AGPT UI/Creator Info Card",
-  component: CreatorInfoCard,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    username: { control: "text" },
-    handle: { control: "text" },
-    avatarSrc: { control: "text" },
-    categories: { control: "object" },
-    averageRating: { control: "number", min: 0, max: 5, step: 0.1 },
-    totalRuns: { control: "number" },
-  },
-} satisfies Meta<typeof CreatorInfoCard>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    username: "SignificantGravitas",
-    handle: "oliviagrace1421",
-    avatarSrc: "https://github.com/shadcn.png",
-    categories: ["Entertainment", "Business"],
-    averageRating: 4.7,
-    totalRuns: 1500,
-  },
-};
-
-export const NewCreator: Story = {
-  args: {
-    username: "AI Enthusiast",
-    handle: "ai_newbie",
-    avatarSrc: "https://example.com/avatar2.jpg",
-    categories: ["AI", "Technology"],
-    averageRating: 0,
-    totalRuns: 0,
-  },
-};
-
-export const ExperiencedCreator: Story = {
-  args: {
-    username: "Tech Master",
-    handle: "techmaster",
-    avatarSrc: "https://example.com/avatar3.jpg",
-    categories: ["AI", "Development", "Education"],
-    averageRating: 4.9,
-    totalRuns: 50000,
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.tsx b/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.tsx
index 33cdfba29c7f..1a89ef64eed3 100644
--- a/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/CreatorInfoCard.tsx
@@ -27,16 +27,27 @@ export const CreatorInfoCard: React.FC<CreatorInfoCardProps> = ({
     >
       <div className="flex w-full flex-col items-start justify-start gap-3.5 sm:h-[218px]">
         <Avatar className="h-[100px] w-[100px] sm:h-[130px] sm:w-[130px]">
-          <AvatarImage src={avatarSrc} alt={`${username}'s avatar`} />
-          <AvatarFallback className="h-[100px] w-[100px] sm:h-[130px] sm:w-[130px]">
+          <AvatarImage
+            width={130}
+            height={130}
+            src={avatarSrc}
+            alt={`${username}'s avatar`}
+          />
+          <AvatarFallback
+            size={130}
+            className="h-[100px] w-[100px] sm:h-[130px] sm:w-[130px]"
+          >
             {username.charAt(0)}
           </AvatarFallback>
         </Avatar>
         <div className="flex w-full flex-col items-start justify-start gap-1.5">
-          <div className="font-poppins w-full text-2xl font-medium leading-8 text-neutral-900 dark:text-neutral-100 sm:text-[35px] sm:leading-10">
+          <div
+            data-testid="creator-title"
+            className="w-full font-poppins text-[35px] font-medium leading-10 text-neutral-900 dark:text-neutral-100 sm:text-[35px] sm:leading-10"
+          >
             {username}
           </div>
-          <div className="w-full font-neue text-lg font-normal leading-6 text-neutral-800 dark:text-neutral-200 sm:text-xl sm:leading-7">
+          <div className="w-full text-lg font-normal leading-6 text-neutral-800 dark:text-neutral-200 sm:text-xl sm:leading-7">
             @{handle}
           </div>
         </div>
@@ -46,7 +57,7 @@ export const CreatorInfoCard: React.FC<CreatorInfoCardProps> = ({
         <div className="flex w-full flex-col items-start justify-start gap-3">
           <div className="h-px w-full bg-neutral-700 dark:bg-neutral-300" />
           <div className="flex flex-col items-start justify-start gap-2.5">
-            <div className="w-full font-neue text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+            <div className="w-full text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
               Top categories
             </div>
             <div
@@ -57,10 +68,10 @@ export const CreatorInfoCard: React.FC<CreatorInfoCardProps> = ({
               {categories.map((category, index) => (
                 <div
                   key={index}
-                  className="flex items-center justify-center gap-2.5 rounded-[34px] border border-neutral-600 px-5 py-3 dark:border-neutral-400"
+                  className="flex items-center justify-center gap-2.5 rounded-[34px] border border-neutral-600 px-4 py-3 dark:border-neutral-400"
                   role="listitem"
                 >
-                  <div className="font-neue text-base font-normal leading-normal text-neutral-800 dark:text-neutral-200">
+                  <div className="text-base font-normal leading-normal text-neutral-800 dark:text-neutral-200">
                     {category}
                   </div>
                 </div>
@@ -73,11 +84,11 @@ export const CreatorInfoCard: React.FC<CreatorInfoCardProps> = ({
           <div className="h-px w-full bg-neutral-700 dark:bg-neutral-300" />
           <div className="flex w-full flex-col items-start justify-between gap-4 sm:flex-row sm:gap-0">
             <div className="flex w-full flex-col items-start justify-start gap-2.5 sm:w-[164px]">
-              <div className="w-full font-neue text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+              <div className="w-full text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
                 Average rating
               </div>
               <div className="inline-flex items-center gap-2">
-                <div className="font-neue text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+                <div className="text-[18px] font-semibold leading-[28px] text-neutral-800 dark:text-neutral-200">
                   {averageRating.toFixed(1)}
                 </div>
                 <div
@@ -90,10 +101,10 @@ export const CreatorInfoCard: React.FC<CreatorInfoCardProps> = ({
               </div>
             </div>
             <div className="flex w-full flex-col items-start justify-start gap-2.5 sm:w-[164px]">
-              <div className="w-full font-neue text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+              <div className="w-full text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
                 Number of runs
               </div>
-              <div className="font-neue text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+              <div className="text-[18px] font-semibold leading-[28px] text-neutral-800 dark:text-neutral-200">
                 {new Intl.NumberFormat().format(totalRuns)} runs
               </div>
             </div>
diff --git a/autogpt_platform/frontend/src/components/agptui/CreatorLinks.stories.tsx b/autogpt_platform/frontend/src/components/agptui/CreatorLinks.stories.tsx
deleted file mode 100644
index a26f1d450a66..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/CreatorLinks.stories.tsx
+++ /dev/null
@@ -1,71 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { CreatorLinks } from "./CreatorLinks";
-
-const meta = {
-  title: "AGPT UI/Creator Links",
-  component: CreatorLinks,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    links: {
-      control: "object",
-      description: "Object containing various social and web links",
-    },
-  },
-} satisfies Meta<typeof CreatorLinks>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    links: {
-      website: "https://example.com",
-      linkedin: "https://linkedin.com/in/johndoe",
-      github: "https://github.com/johndoe",
-      other: ["https://twitter.com/johndoe", "https://medium.com/@johndoe"],
-    },
-  },
-};
-
-export const WebsiteOnly: Story = {
-  args: {
-    links: {
-      website: "https://example.com",
-    },
-  },
-};
-
-export const SocialLinks: Story = {
-  args: {
-    links: {
-      linkedin: "https://linkedin.com/in/janedoe",
-      github: "https://github.com/janedoe",
-      other: ["https://twitter.com/janedoe"],
-    },
-  },
-};
-
-export const NoLinks: Story = {
-  args: {
-    links: {},
-  },
-};
-
-export const MultipleOtherLinks: Story = {
-  args: {
-    links: {
-      website: "https://example.com",
-      linkedin: "https://linkedin.com/in/creator",
-      github: "https://github.com/creator",
-      other: [
-        "https://twitter.com/creator",
-        "https://medium.com/@creator",
-        "https://youtube.com/@creator",
-        "https://tiktok.com/@creator",
-      ],
-    },
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/CreatorLinks.tsx b/autogpt_platform/frontend/src/components/agptui/CreatorLinks.tsx
index 8d61ecf69034..0b3999d10a72 100644
--- a/autogpt_platform/frontend/src/components/agptui/CreatorLinks.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/CreatorLinks.tsx
@@ -17,7 +17,7 @@ export const CreatorLinks: React.FC<CreatorLinksProps> = ({ links }) => {
       rel="noopener noreferrer"
       className="flex min-w-[200px] flex-1 items-center justify-between rounded-[34px] border border-neutral-600 px-5 py-3 dark:border-neutral-400"
     >
-      <div className="font-neue text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+      <div className="text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
         {new URL(url).hostname.replace("www.", "")}
       </div>
       <div className="relative h-6 w-6">
@@ -30,7 +30,7 @@ export const CreatorLinks: React.FC<CreatorLinksProps> = ({ links }) => {
 
   return (
     <div className="flex flex-col items-start justify-start gap-4">
-      <div className="font-neue text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+      <div className="text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
         Other links
       </div>
       <div className="flex w-full flex-wrap gap-3">
diff --git a/autogpt_platform/frontend/src/components/agptui/CreditsCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/CreditsCard.stories.tsx
deleted file mode 100644
index cc9028eeaaca..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/CreditsCard.stories.tsx
+++ /dev/null
@@ -1,43 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import CreditsCard from "./CreditsCard";
-import { userEvent, within } from "@storybook/test";
-
-const meta: Meta<typeof CreditsCard> = {
-  title: "AGPT UI/Credits Card",
-  component: CreditsCard,
-  tags: ["autodocs"],
-};
-
-export default meta;
-type Story = StoryObj<typeof CreditsCard>;
-
-export const Default: Story = {
-  args: {
-    credits: 0,
-  },
-};
-
-export const SmallNumber: Story = {
-  args: {
-    credits: 10,
-  },
-};
-
-export const LargeNumber: Story = {
-  args: {
-    credits: 1000000,
-  },
-};
-
-export const InteractionTest: Story = {
-  args: {
-    credits: 100,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const refreshButton = canvas.getByRole("button", {
-      name: /refresh credits/i,
-    });
-    await userEvent.click(refreshButton);
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/CreditsCard.tsx b/autogpt_platform/frontend/src/components/agptui/CreditsCard.tsx
deleted file mode 100644
index 552b2a607115..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/CreditsCard.tsx
+++ /dev/null
@@ -1,53 +0,0 @@
-"use client";
-
-import { IconRefresh } from "@/components/ui/icons";
-import { useState } from "react";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipTrigger,
-} from "@/components/ui/tooltip";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-interface CreditsCardProps {
-  credits: number;
-}
-
-const CreditsCard = ({ credits }: CreditsCardProps) => {
-  const [currentCredits, setCurrentCredits] = useState(credits);
-  const api = useBackendAPI();
-
-  const onRefresh = async () => {
-    const { credits } = await api.getUserCredit("credits-card");
-    setCurrentCredits(credits);
-  };
-
-  return (
-    <div className="inline-flex h-[48px] items-center gap-2.5 rounded-2xl bg-neutral-200 p-4 dark:bg-neutral-800">
-      <div className="flex items-center gap-0.5">
-        <span className="p-ui-semibold text-base leading-7 text-neutral-900 dark:text-neutral-50">
-          {currentCredits.toLocaleString()}
-        </span>
-        <span className="p-ui pl-1 text-base leading-7 text-neutral-900 dark:text-neutral-50">
-          credits
-        </span>
-      </div>
-      <Tooltip key="RefreshCredits" delayDuration={500}>
-        <TooltipTrigger asChild>
-          <button
-            onClick={onRefresh}
-            className="h-6 w-6 transition-colors hover:text-neutral-700 dark:hover:text-neutral-300"
-            aria-label="Refresh credits"
-          >
-            <IconRefresh className="h-6 w-6" />
-          </button>
-        </TooltipTrigger>
-        <TooltipContent>
-          <p>Refresh credits</p>
-        </TooltipContent>
-      </Tooltip>
-    </div>
-  );
-};
-
-export default CreditsCard;
diff --git a/autogpt_platform/frontend/src/components/agptui/FeaturedAgentCard.tsx b/autogpt_platform/frontend/src/components/agptui/FeaturedAgentCard.tsx
new file mode 100644
index 000000000000..c2728c4a498a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/FeaturedAgentCard.tsx
@@ -0,0 +1,73 @@
+import Image from "next/image";
+import { StarRatingIcons } from "@/components/ui/icons";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardFooter,
+  CardHeader,
+  CardTitle,
+} from "@/components/ui/card";
+import { useState } from "react";
+import { StoreAgent } from "@/lib/autogpt-server-api";
+
+interface FeaturedStoreCardProps {
+  agent: StoreAgent;
+  backgroundColor: string;
+}
+
+export const FeaturedAgentCard: React.FC<FeaturedStoreCardProps> = ({
+  agent,
+  backgroundColor,
+}) => {
+  const [isHovered, setIsHovered] = useState(false);
+
+  return (
+    <Card
+      data-testid="featured-store-card"
+      onMouseEnter={() => setIsHovered(true)}
+      onMouseLeave={() => setIsHovered(false)}
+      className={`flex h-full flex-col ${backgroundColor} rounded-[1.5rem] border-none`}
+    >
+      <CardHeader>
+        <CardTitle className="line-clamp-2 text-base sm:text-xl">
+          {agent.agent_name}
+        </CardTitle>
+        <CardDescription className="text-sm">
+          By {agent.creator}
+        </CardDescription>
+      </CardHeader>
+      <CardContent className="flex-1 p-4">
+        <div className="relative aspect-[4/3] w-full overflow-hidden rounded-xl">
+          <Image
+            src={agent.agent_image || "/autogpt-logo-dark-bg.png"}
+            alt={`${agent.agent_name} preview`}
+            fill
+            sizes="100%"
+            className={`object-cover transition-opacity duration-200 ${
+              isHovered ? "opacity-0" : "opacity-100"
+            }`}
+          />
+          <div
+            className={`absolute inset-0 overflow-y-auto p-4 transition-opacity duration-200 ${
+              isHovered ? "opacity-100" : "opacity-0"
+            }`}
+          >
+            <CardDescription className="line-clamp-[6] text-xs sm:line-clamp-[8] sm:text-sm">
+              {agent.description}
+            </CardDescription>
+          </div>
+        </div>
+      </CardContent>
+      <CardFooter className="flex items-center justify-between">
+        <div className="font-semibold">
+          {agent.runs?.toLocaleString() ?? "0"} runs
+        </div>
+        <div className="flex items-center gap-1.5">
+          <p>{agent.rating.toFixed(1) ?? "0.0"}</p>
+          {StarRatingIcons(agent.rating)}
+        </div>
+      </CardFooter>
+    </Card>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/agptui/FeaturedStoreCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/FeaturedStoreCard.stories.tsx
deleted file mode 100644
index 7986075b4827..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/FeaturedStoreCard.stories.tsx
+++ /dev/null
@@ -1,135 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { FeaturedStoreCard } from "./FeaturedStoreCard";
-import { userEvent, within } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Featured Store Card",
-  component: FeaturedStoreCard,
-  parameters: {
-    layout: {
-      center: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    agentName: { control: "text" },
-    subHeading: { control: "text" },
-    agentImage: { control: "text" },
-    creatorImage: { control: "text" },
-    creatorName: { control: "text" },
-    description: { control: "text" },
-    runs: { control: "number" },
-    rating: { control: "number", min: 0, max: 5, step: 0.1 },
-    onClick: { action: "clicked" },
-  },
-} satisfies Meta<typeof FeaturedStoreCard>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    agentName: "Personalized Morning Coffee Newsletter example of three lines",
-    subHeading:
-      "Transform ideas into breathtaking images with this AI-powered Image Generator.",
-    description:
-      "Elevate your web content with this powerful AI Webpage Copy Improver. Designed for marketers, SEO specialists, and web developers, this tool analyses and enhances website copy for maximum impact. Using advanced language models, it optimizes text for better clarity, SEO performance, and increased conversion rates.",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorName: "AI Solutions Inc.",
-    runs: 50000,
-    rating: 4.7,
-    onClick: () => console.log("Card clicked"),
-  },
-};
-
-export const LowRating: Story = {
-  args: {
-    agentName: "Data Analyzer Lite",
-    subHeading: "Basic data analysis tool",
-    description:
-      "A lightweight data analysis tool for basic data processing needs.",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorName: "DataTech",
-    runs: 10000,
-    rating: 2.8,
-    onClick: () => console.log("Card clicked"),
-  },
-};
-
-export const HighRuns: Story = {
-  args: {
-    agentName: "CodeAssist AI",
-    subHeading: "Your AI coding companion",
-    description:
-      "An intelligent coding assistant that helps developers write better code faster.",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorName: "DevTools Co.",
-    runs: 1000000,
-    rating: 4.9,
-    onClick: () => console.log("Card clicked"),
-  },
-};
-
-export const NoCreatorImage: Story = {
-  args: {
-    agentName: "MultiTasker",
-    subHeading: "All-in-one productivity suite",
-    description:
-      "A comprehensive productivity suite that combines task management, note-taking, and project planning into one seamless interface.",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorName: "Productivity Plus",
-    runs: 75000,
-    rating: 4.5,
-    onClick: () => console.log("Card clicked"),
-  },
-};
-
-export const ShortDescription: Story = {
-  args: {
-    agentName: "QuickTask",
-    subHeading: "Fast task automation",
-    description: "Simple and efficient task automation tool.",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorName: "EfficientWorks",
-    runs: 50000,
-    rating: 4.2,
-    onClick: () => console.log("Card clicked"),
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    agentName: "AI Writing Assistant",
-    subHeading: "Enhance your writing",
-    description:
-      "An AI-powered writing assistant that helps improve your writing style and clarity.",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorName: "WordCraft AI",
-    runs: 200000,
-    rating: 4.6,
-    onClick: () => console.log("Card clicked"),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const featuredCard = canvas.getByTestId("featured-store-card");
-    await userEvent.hover(featuredCard);
-    await userEvent.click(featuredCard);
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/FeaturedStoreCard.tsx b/autogpt_platform/frontend/src/components/agptui/FeaturedStoreCard.tsx
deleted file mode 100644
index cbfdae239d0b..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/FeaturedStoreCard.tsx
+++ /dev/null
@@ -1,96 +0,0 @@
-import * as React from "react";
-import Image from "next/image";
-import { StarRatingIcons } from "@/components/ui/icons";
-
-interface FeaturedStoreCardProps {
-  agentName: string;
-  subHeading: string;
-  agentImage: string;
-  creatorImage?: string;
-  creatorName: string;
-  description: string; // Added description prop
-  runs: number;
-  rating: number;
-  onClick: () => void;
-  backgroundColor: string;
-}
-
-export const FeaturedStoreCard: React.FC<FeaturedStoreCardProps> = ({
-  agentName,
-  subHeading,
-  agentImage,
-  creatorImage,
-  creatorName,
-  description,
-  runs,
-  rating,
-  onClick,
-  backgroundColor,
-}) => {
-  return (
-    <div
-      className={`group h-[755px] w-[440px] px-[22px] pb-5 pt-[30px] ${backgroundColor} inline-flex flex-col items-start justify-start gap-7 rounded-[26px] transition-all duration-200 hover:brightness-95 dark:bg-neutral-800`}
-      onClick={onClick}
-      data-testid="featured-store-card"
-    >
-      <div className="flex h-[188px] flex-col items-start justify-start gap-3 self-stretch">
-        <h2 className="font-poppins self-stretch text-[35px] font-medium leading-10 text-neutral-900 dark:text-neutral-100">
-          {agentName}
-        </h2>
-        <div className="font-lead self-stretch text-xl font-normal leading-7 text-neutral-800 dark:text-neutral-200">
-          {subHeading}
-        </div>
-      </div>
-
-      <div className="flex h-[489px] flex-col items-start justify-start gap-[18px] self-stretch">
-        <div className="font-lead self-stretch text-xl font-normal leading-7 text-neutral-800 dark:text-neutral-200">
-          by {creatorName}
-        </div>
-
-        <div className="relative h-[397px] self-stretch">
-          <Image
-            src={agentImage}
-            alt={`${agentName} preview`}
-            layout="fill"
-            objectFit="cover"
-            className="rounded-xl transition-opacity duration-200 group-hover:opacity-0"
-          />
-          <div className="absolute inset-0 overflow-y-auto rounded-xl bg-white p-4 opacity-0 transition-opacity duration-200 group-hover:opacity-100 dark:bg-neutral-700">
-            <div className="font-geist text-base font-normal leading-normal text-neutral-800 dark:text-neutral-200">
-              {description}
-            </div>
-          </div>
-          {creatorImage && (
-            <div className="absolute left-[8.74px] top-[313px] h-[74px] w-[74px] overflow-hidden rounded-full transition-opacity duration-200 group-hover:opacity-0">
-              <Image
-                src={creatorImage}
-                alt={`${creatorName} image`}
-                layout="fill"
-                className="object-cover"
-                priority
-              />
-            </div>
-          )}
-        </div>
-
-        <div className="inline-flex items-center justify-between self-stretch">
-          <div className="font-large-geist text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
-            {runs.toLocaleString()} runs
-          </div>
-          <div className="flex items-center justify-start gap-[5px]">
-            <div className="font-large-geist text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
-              {rating.toFixed(1)}
-            </div>
-            <div
-              className="inline-flex items-center justify-start gap-px"
-              role="img"
-              aria-label={`Rating: ${rating.toFixed(1)} out of 5 stars`}
-            >
-              {StarRatingIcons(rating)}
-            </div>
-          </div>
-        </div>
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/FilterChips.stories.tsx b/autogpt_platform/frontend/src/components/agptui/FilterChips.stories.tsx
deleted file mode 100644
index 8ae136062982..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/FilterChips.stories.tsx
+++ /dev/null
@@ -1,123 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { FilterChips } from "./FilterChips";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Filter Chips",
-  component: FilterChips,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    badges: { control: "object" },
-    onFilterChange: { action: "onFilterChange" },
-    multiSelect: { control: "boolean" },
-  },
-} satisfies Meta<typeof FilterChips>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const defaultBadges = [
-  "Marketing",
-  "Sales",
-  "Content creation",
-  "Lorem ipsum",
-  "Lorem ipsum",
-];
-
-export const Default: Story = {
-  args: {
-    badges: defaultBadges,
-    multiSelect: true,
-  },
-};
-
-export const SingleSelect: Story = {
-  args: {
-    badges: defaultBadges,
-    multiSelect: false,
-  },
-};
-
-export const WithSelectedFilters: Story = {
-  args: {
-    badges: defaultBadges,
-    multiSelect: true,
-  },
-  play: async ({ canvasElement, args }) => {
-    const canvas = within(canvasElement);
-    const marketingChip = canvas.getByText("Marketing").parentElement;
-    const salesChip = canvas.getByText("Sales").parentElement;
-    if (!marketingChip || !salesChip) {
-      throw new Error("Marketing or Sales chip not found");
-    }
-
-    await userEvent.click(marketingChip);
-    await userEvent.click(salesChip);
-
-    await expect(marketingChip).toHaveClass("bg-neutral-100");
-    await expect(salesChip).toHaveClass("bg-neutral-100");
-  },
-};
-
-export const WithFilterChangeCallback: Story = {
-  args: {
-    badges: defaultBadges,
-    multiSelect: true,
-    onFilterChange: (selectedFilters: string[]) => {
-      console.log("Selected filters:", selectedFilters);
-    },
-  },
-  play: async ({ canvasElement, args }) => {
-    const canvas = within(canvasElement);
-    const salesChip = canvas.getByText("Sales");
-    const marketingChip = canvas.getByText("Marketing");
-
-    await userEvent.click(salesChip);
-    await userEvent.click(marketingChip);
-  },
-};
-
-export const EmptyBadges: Story = {
-  args: {
-    badges: [],
-    multiSelect: true,
-  },
-};
-
-export const LongBadgeNames: Story = {
-  args: {
-    badges: [
-      "Machine Learning",
-      "Natural Language Processing",
-      "Computer Vision",
-      "Data Science",
-    ],
-    multiSelect: true,
-  },
-};
-
-export const SingleSelectBehavior: Story = {
-  args: {
-    badges: defaultBadges,
-    multiSelect: false,
-  },
-  play: async ({ canvasElement, args }) => {
-    const canvas = within(canvasElement);
-    const salesChip = canvas.getByText("Sales").parentElement;
-    const marketingChip = canvas.getByText("Marketing").parentElement;
-
-    if (!salesChip || !marketingChip) {
-      throw new Error("Sales or Marketing chip not found");
-    }
-
-    await userEvent.click(salesChip);
-    await expect(salesChip).toHaveClass("bg-neutral-100");
-
-    await userEvent.click(marketingChip);
-    await expect(marketingChip).toHaveClass("bg-neutral-100");
-    await expect(salesChip).not.toHaveClass("bg-neutral-100");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/FilterChips.tsx b/autogpt_platform/frontend/src/components/agptui/FilterChips.tsx
index dbd0a935cf15..8a597aab264b 100644
--- a/autogpt_platform/frontend/src/components/agptui/FilterChips.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/FilterChips.tsx
@@ -8,7 +8,7 @@ interface FilterChipsProps {
   onFilterChange?: (selectedFilters: string[]) => void;
   multiSelect?: boolean;
 }
-/** FilterChips is a component that allows the user to select filters from a list of badges. It is used on the Agent Store home page */
+/** FilterChips is a component that allows the user to select filters from a list of badges. It is used on the Marketplace home page */
 export const FilterChips: React.FC<FilterChipsProps> = ({
   badges,
   onFilterChange,
@@ -44,7 +44,7 @@ export const FilterChips: React.FC<FilterChipsProps> = ({
           className="mb-2 flex cursor-pointer items-center justify-center gap-2 rounded-full border border-black/50 px-3 py-1 dark:border-white/50 lg:mb-3 lg:gap-2.5 lg:px-6 lg:py-2"
           onClick={() => handleBadgeClick(badge)}
         >
-          <div className="font-neue text-sm font-light tracking-tight text-[#474747] dark:text-[#e0e0e0] lg:text-xl lg:font-medium lg:leading-9">
+          <div className="text-sm font-light tracking-tight text-[#474747] dark:text-[#e0e0e0] lg:text-xl lg:font-medium lg:leading-9">
             {badge}
           </div>
         </Badge>
diff --git a/autogpt_platform/frontend/src/components/agptui/MobileNavBar.stories.tsx b/autogpt_platform/frontend/src/components/agptui/MobileNavBar.stories.tsx
deleted file mode 100644
index 053487d5cabe..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/MobileNavBar.stories.tsx
+++ /dev/null
@@ -1,108 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { MobileNavBar } from "./MobileNavBar";
-import { userEvent, within } from "@storybook/test";
-import { IconType } from "../ui/icons";
-
-const meta = {
-  title: "AGPT UI/Mobile Nav Bar",
-  component: MobileNavBar,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    userName: { control: "text" },
-    userEmail: { control: "text" },
-    activeLink: { control: "text" },
-    avatarSrc: { control: "text" },
-    menuItemGroups: { control: "object" },
-  },
-} satisfies Meta<typeof MobileNavBar>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const defaultMenuItemGroups = [
-  {
-    items: [
-      { icon: IconType.Marketplace, text: "Marketplace", href: "/marketplace" },
-      { icon: IconType.Library, text: "Library", href: "/library" },
-      { icon: IconType.Builder, text: "Builder", href: "/builder" },
-    ],
-  },
-  {
-    items: [
-      { icon: IconType.Edit, text: "Edit profile", href: "/profile/edit" },
-    ],
-  },
-  {
-    items: [
-      {
-        icon: IconType.LayoutDashboard,
-        text: "Creator Dashboard",
-        href: "/dashboard",
-      },
-      {
-        icon: IconType.UploadCloud,
-        text: "Publish an agent",
-        href: "/publish",
-      },
-    ],
-  },
-  {
-    items: [{ icon: IconType.Settings, text: "Settings", href: "/settings" }],
-  },
-  {
-    items: [
-      {
-        icon: IconType.LogOut,
-        text: "Log out",
-        onClick: () => console.log("Logged out"),
-      },
-    ],
-  },
-];
-
-export const Default: Story = {
-  args: {
-    userName: "John Doe",
-    userEmail: "john.doe@example.com",
-    activeLink: "/marketplace",
-    avatarSrc: "https://avatars.githubusercontent.com/u/123456789?v=4",
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const NoAvatar: Story = {
-  args: {
-    userName: "Jane Smith",
-    userEmail: "jane.smith@example.com",
-    activeLink: "/library",
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const LongUserName: Story = {
-  args: {
-    userName: "Alexander Bartholomew Christopherson III",
-    userEmail: "alexander@example.com",
-    activeLink: "/builder",
-    avatarSrc: "https://avatars.githubusercontent.com/u/987654321?v=4",
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    ...Default.args,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const menuTrigger = canvas.getByRole("button");
-
-    await userEvent.click(menuTrigger);
-
-    // Wait for the popover to appear
-    await canvas.findByText("Edit profile");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/MobileNavBar.tsx b/autogpt_platform/frontend/src/components/agptui/MobileNavBar.tsx
deleted file mode 100644
index ed3aa43dd125..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/MobileNavBar.tsx
+++ /dev/null
@@ -1,197 +0,0 @@
-"use client";
-
-import * as React from "react";
-import Link from "next/link";
-import {
-  Popover,
-  PopoverTrigger,
-  PopoverContent,
-  PopoverPortal,
-} from "@/components/ui/popover";
-import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
-import { Separator } from "@/components/ui/separator";
-import {
-  IconType,
-  IconMenu,
-  IconChevronUp,
-  IconEdit,
-  IconLayoutDashboard,
-  IconUploadCloud,
-  IconSettings,
-  IconLogOut,
-  IconMarketplace,
-  IconLibrary,
-  IconBuilder,
-} from "../ui/icons";
-import { AnimatePresence, motion } from "framer-motion";
-import { Button } from "@/components/ui/button";
-import { usePathname } from "next/navigation";
-
-interface MobileNavBarProps {
-  userName?: string;
-  userEmail?: string;
-  avatarSrc?: string;
-  menuItemGroups: {
-    groupName?: string;
-    items: {
-      icon: IconType;
-      text: string;
-      href?: string;
-      onClick?: () => void;
-    }[];
-  }[];
-}
-
-const Overlay = React.forwardRef<HTMLDivElement, { children: React.ReactNode }>(
-  ({ children }, ref) => (
-    <div ref={ref} className="h-screen w-screen backdrop-blur-md">
-      {children}
-    </div>
-  ),
-);
-Overlay.displayName = "Overlay";
-
-const PopoutMenuItem: React.FC<{
-  icon: IconType;
-  isActive: boolean;
-  text: React.ReactNode;
-  href?: string;
-  onClick?: () => void;
-}> = ({ icon, isActive, text, href, onClick }) => {
-  const getIcon = (iconType: IconType) => {
-    const iconClass = "w-6 h-6 relative";
-    switch (iconType) {
-      case IconType.Marketplace:
-        return <IconMarketplace className={iconClass} />;
-      case IconType.Library:
-        return <IconLibrary className={iconClass} />;
-      case IconType.Builder:
-        return <IconBuilder className={iconClass} />;
-      case IconType.Edit:
-        return <IconEdit className={iconClass} />;
-      case IconType.LayoutDashboard:
-        return <IconLayoutDashboard className={iconClass} />;
-      case IconType.UploadCloud:
-        return <IconUploadCloud className={iconClass} />;
-      case IconType.Settings:
-        return <IconSettings className={iconClass} />;
-      case IconType.LogOut:
-        return <IconLogOut className={iconClass} />;
-      default:
-        return null;
-    }
-  };
-
-  const content = (
-    <div className="inline-flex w-full items-center justify-start gap-4 hover:rounded hover:bg-[#e0e0e0] dark:hover:bg-[#3a3a3a]">
-      {getIcon(icon)}
-      <div className="relative">
-        <div
-          className={`font-['Inter'] text-base font-normal leading-7 text-[#474747] dark:text-[#cfcfcf] ${isActive ? "font-semibold text-[#272727] dark:text-[#ffffff]" : "text-[#474747] dark:text-[#cfcfcf]"}`}
-        >
-          {text}
-        </div>
-        {isActive && (
-          <div className="absolute bottom-[-4px] left-0 h-[2px] w-full bg-[#272727] dark:bg-[#ffffff]"></div>
-        )}
-      </div>
-    </div>
-  );
-
-  if (onClick)
-    return (
-      <div className="w-full" onClick={onClick}>
-        {content}
-      </div>
-    );
-  if (href)
-    return (
-      <Link href={href} className="w-full">
-        {content}
-      </Link>
-    );
-  return content;
-};
-
-export const MobileNavBar: React.FC<MobileNavBarProps> = ({
-  userName,
-  userEmail,
-  avatarSrc,
-  menuItemGroups,
-}) => {
-  const [isOpen, setIsOpen] = React.useState(false);
-  const pathname = usePathname();
-  const parts = pathname.split("/");
-  const activeLink = parts.length > 1 ? parts[1] : parts[0];
-
-  return (
-    <Popover open={isOpen} onOpenChange={setIsOpen}>
-      <PopoverTrigger asChild>
-        <Button
-          aria-label="Open menu"
-          className="fixed right-4 top-4 z-50 flex h-14 w-14 items-center justify-center rounded-lg border border-neutral-500 bg-neutral-200 hover:bg-gray-200/50 dark:border-neutral-700 dark:bg-neutral-800 dark:hover:bg-gray-700/50 md:hidden"
-          data-testid="mobile-nav-bar-trigger"
-        >
-          {isOpen ? (
-            <IconChevronUp className="h-8 w-8 stroke-black dark:stroke-white" />
-          ) : (
-            <IconMenu className="h-8 w-8 stroke-black dark:stroke-white" />
-          )}
-          <span className="sr-only">Open menu</span>
-        </Button>
-      </PopoverTrigger>
-      <AnimatePresence>
-        <PopoverPortal>
-          <Overlay>
-            <PopoverContent asChild>
-              <motion.div
-                initial={{ opacity: 0, y: -32 }}
-                animate={{ opacity: 1, y: 0 }}
-                exit={{ opacity: 0, y: -32, transition: { duration: 0.2 } }}
-                className="w-screen rounded-b-2xl bg-white dark:bg-neutral-900"
-              >
-                <div className="mb-4 inline-flex items-end justify-start gap-4">
-                  <Avatar className="h-14 w-14 border border-[#474747] dark:border-[#cfcfcf]">
-                    <AvatarImage
-                      src={avatarSrc}
-                      alt={userName || "Unknown User"}
-                    />
-                    <AvatarFallback>
-                      {userName?.charAt(0) || "U"}
-                    </AvatarFallback>
-                  </Avatar>
-                  <div className="relative h-14 w-[153px]">
-                    <div className="absolute left-0 top-0 font-['Inter'] text-lg font-semibold leading-7 text-[#474747] dark:text-[#cfcfcf]">
-                      {userName || "Unknown User"}
-                    </div>
-                    <div className="absolute left-0 top-6 font-['Inter'] text-base font-normal leading-7 text-[#474747] dark:text-[#cfcfcf]">
-                      {userEmail || "No Email Set"}
-                    </div>
-                  </div>
-                </div>
-                <Separator className="mb-4 dark:bg-[#3a3a3a]" />
-                {menuItemGroups.map((group, groupIndex) => (
-                  <React.Fragment key={groupIndex}>
-                    {group.items.map((item, itemIndex) => (
-                      <PopoutMenuItem
-                        key={itemIndex}
-                        icon={item.icon}
-                        isActive={item.href === activeLink}
-                        text={item.text}
-                        onClick={item.onClick}
-                        href={item.href}
-                      />
-                    ))}
-                    {groupIndex < menuItemGroups.length - 1 && (
-                      <Separator className="my-4 dark:bg-[#3a3a3a]" />
-                    )}
-                  </React.Fragment>
-                ))}
-              </motion.div>
-            </PopoverContent>
-          </Overlay>
-        </PopoverPortal>
-      </AnimatePresence>
-    </Popover>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Navbar.stories.tsx b/autogpt_platform/frontend/src/components/agptui/Navbar.stories.tsx
deleted file mode 100644
index 213c8623c855..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/Navbar.stories.tsx
+++ /dev/null
@@ -1,162 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import Navbar from "./Navbar";
-import { userEvent, within } from "@storybook/test";
-import { IconType } from "../ui/icons";
-import { ProfileDetails } from "@/lib/autogpt-server-api/types";
-import { jest } from "@jest/globals";
-
-// Mock the API responses
-const mockProfileData: ProfileDetails = {
-  name: "John Doe",
-  username: "johndoe",
-  description: "",
-  links: [],
-  avatar_url: "https://avatars.githubusercontent.com/u/123456789?v=4",
-};
-
-const mockCreditData = {
-  credits: 1500,
-};
-
-// Mock the API module
-jest.mock("@/lib/autogpt-server-api", () => {
-  return function () {
-    return {
-      getStoreProfile: () => Promise.resolve(mockProfileData),
-      getUserCredit: () => Promise.resolve(mockCreditData),
-    };
-  };
-});
-
-const meta = {
-  title: "AGPT UI/Navbar",
-  component: Navbar,
-  parameters: {
-    layout: "fullscreen",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    isLoggedIn: { control: "boolean" },
-    avatarSrc: { control: "text" },
-    links: { control: "object" },
-    activeLink: { control: "text" },
-    menuItemGroups: { control: "object" },
-    params: { control: { type: "object", defaultValue: { lang: "en" } } },
-  },
-} satisfies Meta<typeof Navbar>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const defaultMenuItemGroups = [
-  {
-    items: [
-      { icon: IconType.Edit, text: "Edit profile", href: "/profile/edit" },
-    ],
-  },
-  {
-    items: [
-      {
-        icon: IconType.LayoutDashboard,
-        text: "Creator Dashboard",
-        href: "/dashboard",
-      },
-      {
-        icon: IconType.UploadCloud,
-        text: "Publish an agent",
-        href: "/publish",
-      },
-    ],
-  },
-  {
-    items: [{ icon: IconType.Settings, text: "Settings", href: "/settings" }],
-  },
-  {
-    items: [
-      {
-        icon: IconType.LogOut,
-        text: "Log out",
-        onClick: () => console.log("Logged out"),
-      },
-    ],
-  },
-];
-
-const defaultLinks = [
-  { name: "Marketplace", href: "/marketplace" },
-  { name: "Library", href: "/library" },
-  { name: "Build", href: "/builder" },
-];
-
-export const Default: Story = {
-  args: {
-    params: { lang: "en" },
-    isLoggedIn: true,
-    links: defaultLinks,
-    activeLink: "/marketplace",
-    avatarSrc: mockProfileData.avatar_url,
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const WithActiveLink: Story = {
-  args: {
-    ...Default.args,
-    activeLink: "/library",
-  },
-};
-
-export const LongUserName: Story = {
-  args: {
-    ...Default.args,
-    avatarSrc: "https://avatars.githubusercontent.com/u/987654321?v=4",
-  },
-};
-
-export const NoAvatar: Story = {
-  args: {
-    ...Default.args,
-    avatarSrc: undefined,
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    ...Default.args,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const profileTrigger = canvas.getByRole("button");
-
-    await userEvent.click(profileTrigger);
-
-    // Wait for the popover to appear
-    await canvas.findByText("Edit profile");
-  },
-};
-
-export const NotLoggedIn: Story = {
-  args: {
-    ...Default.args,
-    isLoggedIn: false,
-    avatarSrc: undefined,
-  },
-};
-
-export const WithCredits: Story = {
-  args: {
-    ...Default.args,
-  },
-};
-
-export const WithLargeCredits: Story = {
-  args: {
-    ...Default.args,
-  },
-};
-
-export const WithZeroCredits: Story = {
-  args: {
-    ...Default.args,
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Navbar.tsx b/autogpt_platform/frontend/src/components/agptui/Navbar.tsx
deleted file mode 100644
index b269b3c44022..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/Navbar.tsx
+++ /dev/null
@@ -1,147 +0,0 @@
-import * as React from "react";
-import Link from "next/link";
-import { ProfilePopoutMenu } from "./ProfilePopoutMenu";
-import { IconType, IconLogIn, IconAutoGPTLogo } from "@/components/ui/icons";
-import { MobileNavBar } from "./MobileNavBar";
-import { Button } from "./Button";
-import CreditsCard from "./CreditsCard";
-import { ProfileDetails } from "@/lib/autogpt-server-api/types";
-import { ThemeToggle } from "./ThemeToggle";
-import { NavbarLink } from "./NavbarLink";
-import getServerUser from "@/lib/supabase/getServerUser";
-import BackendAPI from "@/lib/autogpt-server-api";
-
-interface NavLink {
-  name: string;
-  href: string;
-}
-
-interface NavbarProps {
-  links: NavLink[];
-  menuItemGroups: {
-    groupName?: string;
-    items: {
-      icon: IconType;
-      text: string;
-      href?: string;
-      onClick?: () => void;
-    }[];
-  }[];
-}
-
-async function getProfileData() {
-  const api = new BackendAPI();
-  const [profile, credits] = await Promise.all([
-    api.getStoreProfile("navbar"),
-    api.getUserCredit("navbar"),
-  ]);
-
-  return {
-    profile,
-    credits,
-  };
-}
-
-export const Navbar = async ({ links, menuItemGroups }: NavbarProps) => {
-  const { user } = await getServerUser();
-  const isLoggedIn = user !== null;
-  let profile: ProfileDetails | null = null;
-  let credits: { credits: number } = { credits: 0 };
-  if (isLoggedIn) {
-    const { profile: t_profile, credits: t_credits } = await getProfileData();
-    profile = t_profile;
-    credits = t_credits;
-  }
-
-  return (
-    <>
-      <nav className="sticky top-0 z-50 hidden h-16 w-[1408px] items-center justify-between rounded-bl-2xl rounded-br-2xl border border-white/50 bg-white/5 py-3 pl-6 pr-3 backdrop-blur-[26px] dark:border-gray-700 dark:bg-gray-900 md:inline-flex">
-        <div className="flex items-center gap-11">
-          <div className="relative h-10 w-[88.87px]">
-            <IconAutoGPTLogo className="h-full w-full" />
-          </div>
-          {links.map((link) => (
-            <NavbarLink
-              key={link.name}
-              name={link.name}
-              href={link.href}
-              className="font-poppins text-[20px] leading-[28px]"
-            />
-          ))}
-        </div>
-        {/* Profile section */}
-        <div className="flex items-center gap-4">
-          {isLoggedIn ? (
-            <div className="flex items-center gap-4">
-              {profile && <CreditsCard credits={credits.credits} />}
-              <ProfilePopoutMenu
-                menuItemGroups={menuItemGroups}
-                userName={profile?.username}
-                userEmail={profile?.name}
-                avatarSrc={profile?.avatar_url}
-              />
-            </div>
-          ) : (
-            <Link href="/login">
-              <Button
-                variant="default"
-                size="sm"
-                className="flex items-center justify-end space-x-2"
-              >
-                <IconLogIn className="h-5 h-[48px] w-5" />
-                <span>Log In</span>
-              </Button>
-            </Link>
-          )}
-          <ThemeToggle />
-        </div>
-      </nav>
-      {/* Mobile Navbar - Adjust positioning */}
-      <>
-        {isLoggedIn ? (
-          <div className="fixed right-4 top-4 z-50">
-            <MobileNavBar
-              userName={profile?.username}
-              menuItemGroups={[
-                {
-                  groupName: "Navigation",
-                  items: links.map((link) => ({
-                    icon:
-                      link.name === "Agent Store"
-                        ? IconType.Marketplace
-                        : link.name === "Library"
-                          ? IconType.Library
-                          : link.name === "Build"
-                            ? IconType.Builder
-                            : link.name === "Monitor"
-                              ? IconType.Library
-                              : IconType.LayoutDashboard,
-                    text: link.name,
-                    href: link.href,
-                  })),
-                },
-                ...menuItemGroups,
-              ]}
-              userEmail={profile?.name}
-              avatarSrc={profile?.avatar_url}
-            />
-          </div>
-        ) : (
-          <Link
-            href="/login"
-            className="fixed right-4 top-4 z-50 mt-4 inline-flex h-8 items-center justify-end rounded-lg pr-4 md:hidden"
-          >
-            <Button
-              variant="default"
-              size="sm"
-              className="flex items-center space-x-2"
-            >
-              <IconLogIn className="h-5 w-5" />
-              <span>Log In</span>
-            </Button>
-          </Link>
-        )}
-      </>
-    </>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/NavbarLink.tsx b/autogpt_platform/frontend/src/components/agptui/NavbarLink.tsx
deleted file mode 100644
index 25b59ff9861e..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/NavbarLink.tsx
+++ /dev/null
@@ -1,63 +0,0 @@
-"use client";
-import Link from "next/link";
-import {
-  IconType,
-  IconShoppingCart,
-  IconBoxes,
-  IconLibrary,
-  IconLaptop,
-} from "@/components/ui/icons";
-import { usePathname } from "next/navigation";
-
-interface NavbarLinkProps {
-  name: string;
-  href: string;
-}
-
-export const NavbarLink = ({ name, href }: NavbarLinkProps) => {
-  const pathname = usePathname();
-  const parts = pathname.split("/");
-  const activeLink = "/" + (parts.length > 2 ? parts[2] : parts[1]);
-
-  return (
-    <div
-      className={`h-[48px] px-5 py-4 ${
-        activeLink === href
-          ? "rounded-2xl bg-neutral-800 dark:bg-neutral-200"
-          : ""
-      } flex items-center justify-start gap-3`}
-    >
-      {href === "/store" && (
-        <IconShoppingCart
-          className={`h-6 w-6 ${activeLink === href ? "text-white dark:text-black" : ""}`}
-        />
-      )}
-      {href === "/build" && (
-        <IconBoxes
-          className={`h-6 w-6 ${activeLink === href ? "text-white dark:text-black" : ""}`}
-        />
-      )}
-      {href === "/monitor" && (
-        <IconLaptop
-          className={`h-6 w-6 ${activeLink === href ? "text-white dark:text-black" : ""}`}
-        />
-      )}
-      {href === "/monitoring" && (
-        <IconLibrary
-          className={`h-6 w-6 ${activeLink === href ? "text-white dark:text-black" : ""}`}
-        />
-      )}
-      <Link href={href}>
-        <div
-          className={`font-poppins text-[20px] font-medium leading-[28px] ${
-            activeLink === href
-              ? "text-neutral-50 dark:text-neutral-900"
-              : "text-neutral-900 dark:text-neutral-50"
-          }`}
-        >
-          {name}
-        </div>
-      </Link>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.stories.tsx b/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.stories.tsx
deleted file mode 100644
index 2df304f3c800..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.stories.tsx
+++ /dev/null
@@ -1,70 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { ProfileInfoForm } from "./ProfileInfoForm";
-
-const meta: Meta<typeof ProfileInfoForm> = {
-  title: "AGPT UI/Profile/Profile Info Form",
-  component: ProfileInfoForm,
-  parameters: {
-    layout: "fullscreen",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    displayName: {
-      control: "text",
-      description: "The display name of the user",
-    },
-    handle: {
-      control: "text",
-      description: "The user's handle/username",
-    },
-    bio: {
-      control: "text",
-      description: "User's biography text",
-    },
-    profileImage: {
-      control: "text",
-      description: "URL of the user's profile image",
-    },
-    links: {
-      control: "object",
-      description: "Array of social media links",
-    },
-    categories: {
-      control: "object",
-      description: "Array of selected categories",
-    },
-  },
-};
-
-export default meta;
-type Story = StoryObj<typeof ProfileInfoForm>;
-
-export const Empty: Story = {
-  args: {
-    displayName: "",
-    handle: "",
-    bio: "",
-    profileImage: undefined,
-    links: [],
-    categories: [],
-  },
-};
-
-export const Filled: Story = {
-  args: {
-    displayName: "Olivia Grace",
-    handle: "@ograce1421",
-    bio: "Our agents are designed to bring happiness and positive vibes to your daily routine. Each template helps you create and live more efficiently.",
-    profileImage: "https://via.placeholder.com/130x130",
-    links: [
-      { id: 1, url: "www.websitelink.com" },
-      { id: 2, url: "twitter.com/oliviagrace" },
-      { id: 3, url: "github.com/ograce" },
-    ],
-    categories: [
-      { id: 1, name: "Entertainment" },
-      { id: 2, name: "Blog" },
-      { id: 3, name: "Content creation" },
-    ],
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.tsx b/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.tsx
index 0a02fd644342..38c75a02be31 100644
--- a/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/ProfileInfoForm.tsx
@@ -1,24 +1,21 @@
 "use client";
 
-import * as React from "react";
 import { useState } from "react";
 
 import Image from "next/image";
 
-import { Button } from "./Button";
 import { IconPersonFill } from "@/components/ui/icons";
-import { CreatorDetails, ProfileDetails } from "@/lib/autogpt-server-api/types";
 import { Separator } from "@/components/ui/separator";
-import useSupabase from "@/hooks/useSupabase";
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { ProfileDetails } from "@/lib/autogpt-server-api/types";
+import { Button } from "./Button";
 
-export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
+export function ProfileInfoForm({ profile }: { profile: ProfileDetails }) {
   const [isSubmitting, setIsSubmitting] = useState(false);
-  const [profileData, setProfileData] = useState(profile);
-  const { supabase } = useSupabase();
+  const [profileData, setProfileData] = useState<ProfileDetails>(profile);
   const api = useBackendAPI();
 
-  const submitForm = async () => {
+  async function submitForm() {
     try {
       setIsSubmitting(true);
 
@@ -26,82 +23,43 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
         name: profileData.name,
         username: profileData.username,
         description: profileData.description,
-        links: profileData.links,
+        links: profileData.links.filter((link) => link), // Filter out empty links
         avatar_url: profileData.avatar_url,
       };
 
       if (!isSubmitting) {
-        const returnedProfile = await api.updateStoreProfile(
-          updatedProfile as ProfileDetails,
-        );
-        setProfileData(returnedProfile as CreatorDetails);
+        const returnedProfile = await api.updateStoreProfile(updatedProfile);
+        setProfileData(returnedProfile);
       }
     } catch (error) {
       console.error("Error updating profile:", error);
     } finally {
       setIsSubmitting(false);
     }
-  };
+  }
 
-  const handleImageUpload = async (file: File) => {
+  async function handleImageUpload(file: File) {
     try {
-      // Create FormData and append file
-      const formData = new FormData();
-      formData.append("file", file);
-
-      console.log(formData);
-
-      // Get auth token
-      if (!supabase) {
-        throw new Error("Supabase client not initialized");
-      }
-
-      const {
-        data: { session },
-      } = await supabase.auth.getSession();
-      const token = session?.access_token;
-
-      if (!token) {
-        throw new Error("No authentication token found");
-      }
-
-      // Make upload request
-      const response = await fetch(
-        `${process.env.NEXT_PUBLIC_AGPT_SERVER_URL}/store/submissions/media`,
-        {
-          method: "POST",
-          headers: {
-            Authorization: `Bearer ${token}`,
-          },
-          body: formData,
-        },
-      );
+      const mediaUrl = await api.uploadStoreSubmissionMedia(file);
 
-      if (!response.ok) {
-        throw new Error(`Upload failed: ${response.statusText}`);
-      }
-
-      // Get media URL from response
-      const mediaUrl = await response.json();
-
-      // Update profile with new avatar URL
       const updatedProfile = {
         ...profileData,
         avatar_url: mediaUrl,
       };
 
-      const returnedProfile = await api.updateStoreProfile(
-        updatedProfile as ProfileDetails,
-      );
-      setProfileData(returnedProfile as CreatorDetails);
+      const returnedProfile = await api.updateStoreProfile(updatedProfile);
+      setProfileData(returnedProfile);
     } catch (error) {
       console.error("Error uploading image:", error);
     }
-  };
+  }
 
   return (
     <div className="w-full min-w-[800px] px-4 sm:px-8">
-      <h1 className="font-circular mb-6 text-[28px] font-normal text-neutral-900 dark:text-neutral-100 sm:mb-8 sm:text-[35px]">
+      <h1
+        data-testid="profile-info-form-title"
+        className="font-circular mb-6 text-[28px] font-normal text-neutral-900 dark:text-neutral-100 sm:mb-8 sm:text-[35px]"
+      >
         Profile
       </h1>
 
@@ -137,13 +95,18 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
 
         <form className="space-y-4 sm:space-y-6" onSubmit={submitForm}>
           <div className="w-full">
-            <label className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300">
+            <label
+              htmlFor="displayName"
+              className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300"
+            >
               Display name
             </label>
             <div className="rounded-[55px] border border-slate-200 px-4 py-2.5 dark:border-slate-700 dark:bg-slate-800">
               <input
                 type="text"
+                id="displayName"
                 name="displayName"
+                data-testid="profile-info-form-display-name"
                 defaultValue={profileData.name}
                 placeholder="Enter your display name"
                 className="font-circular w-full border-none bg-transparent text-base font-normal text-neutral-900 placeholder:text-neutral-400 focus:outline-none dark:text-white dark:placeholder:text-neutral-500"
@@ -159,13 +122,17 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
           </div>
 
           <div className="w-full">
-            <label className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300">
+            <label
+              htmlFor="handle"
+              className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300"
+            >
               Handle
             </label>
             <div className="rounded-[55px] border border-slate-200 px-4 py-2.5 dark:border-slate-700 dark:bg-slate-800">
               <input
                 type="text"
                 name="handle"
+                id="handle"
                 defaultValue={profileData.username}
                 placeholder="@username"
                 className="font-circular w-full border-none bg-transparent text-base font-normal text-neutral-900 placeholder:text-neutral-400 focus:outline-none dark:text-white dark:placeholder:text-neutral-500"
@@ -181,12 +148,16 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
           </div>
 
           <div className="w-full">
-            <label className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300">
+            <label
+              htmlFor="bio"
+              className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300"
+            >
               Bio
             </label>
             <div className="h-[220px] rounded-2xl border border-slate-200 py-2.5 pl-4 pr-4 dark:border-slate-700 dark:bg-slate-800">
               <textarea
                 name="bio"
+                id="bio"
                 defaultValue={profileData.description}
                 placeholder="Tell us about yourself..."
                 className="font-circular h-full w-full resize-none border-none bg-transparent text-base font-normal text-neutral-900 placeholder:text-neutral-400 focus:outline-none dark:text-white dark:placeholder:text-neutral-500"
@@ -214,22 +185,26 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
                 const link = profileData.links[linkNum - 1];
                 return (
                   <div key={linkNum} className="w-full">
-                    <label className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300">
+                    <label
+                      htmlFor={`link${linkNum}`}
+                      className="font-circular mb-1.5 block text-base font-normal leading-tight text-neutral-700 dark:text-neutral-300"
+                    >
                       Link {linkNum}
                     </label>
                     <div className="rounded-[55px] border border-slate-200 px-4 py-2.5 dark:border-slate-700 dark:bg-slate-800">
                       <input
                         type="text"
                         name={`link${linkNum}`}
+                        id={`link${linkNum}`}
                         placeholder="https://"
                         defaultValue={link || ""}
                         className="font-circular w-full border-none bg-transparent text-base font-normal text-neutral-900 placeholder:text-neutral-400 focus:outline-none dark:text-white dark:placeholder:text-neutral-500"
                         onChange={(e) => {
+                          const newLinks = [...profileData.links];
+                          newLinks[linkNum - 1] = e.target.value;
                           const newProfileData = {
                             ...profileData,
-                            links: profileData.links.map((link, index) =>
-                              index === linkNum - 1 ? e.target.value : link,
-                            ),
+                            links: newLinks,
                           };
                           setProfileData(newProfileData);
                         }}
@@ -244,7 +219,8 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
           <Separator />
 
           <div className="flex h-[50px] items-center justify-end gap-3 py-8">
-            <Button
+            {/* FRONTEND-TODO: Need to fix it */}
+            {/* <Button
               type="button"
               variant="secondary"
               className="font-circular h-[50px] rounded-[35px] bg-neutral-200 px-6 py-3 text-base font-medium text-neutral-800 transition-colors hover:bg-neutral-300 dark:border-neutral-700 dark:bg-neutral-700 dark:text-neutral-200 dark:hover:border-neutral-600 dark:hover:bg-neutral-600"
@@ -253,10 +229,9 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
               }}
             >
               Cancel
-            </Button>
+            </Button> */}
             <Button
               type="submit"
-              variant="default"
               disabled={isSubmitting}
               className="font-circular h-[50px] rounded-[35px] bg-neutral-800 px-6 py-3 text-base font-medium text-white transition-colors hover:bg-neutral-900 dark:bg-neutral-200 dark:text-neutral-900 dark:hover:bg-neutral-100"
               onClick={submitForm}
@@ -268,4 +243,4 @@ export const ProfileInfoForm = ({ profile }: { profile: CreatorDetails }) => {
       </div>
     </div>
   );
-};
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenu.stories.tsx b/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenu.stories.tsx
deleted file mode 100644
index 7af1dc295bff..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenu.stories.tsx
+++ /dev/null
@@ -1,99 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { ProfilePopoutMenu } from "./ProfilePopoutMenu";
-import { userEvent, within } from "@storybook/test";
-import { IconType } from "../ui/icons";
-
-const meta = {
-  title: "AGPT UI/Profile Popout Menu",
-  component: ProfilePopoutMenu,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    userName: { control: "text" },
-    userEmail: { control: "text" },
-    avatarSrc: { control: "text" },
-    menuItemGroups: { control: "object" },
-    hideNavBarUsername: { control: "boolean" },
-  },
-} satisfies Meta<typeof ProfilePopoutMenu>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const defaultMenuItemGroups = [
-  {
-    // Creator actions group
-    items: [
-      {
-        icon: IconType.LayoutDashboard,
-        text: "Creator Dashboard",
-        href: "/dashboard",
-      },
-      {
-        icon: IconType.UploadCloud,
-        text: "Publish an agent",
-        href: "/publish",
-      },
-    ],
-  },
-  {
-    // Profile management group
-    items: [
-      { icon: IconType.Edit, text: "Edit profile", href: "/profile/edit" },
-      { icon: IconType.Settings, text: "Settings", href: "/settings" },
-    ],
-  },
-  {
-    // Logout group
-    items: [
-      {
-        icon: IconType.LogOut,
-        text: "Log out",
-        onClick: () => console.log("Logged out"),
-      },
-    ],
-  },
-];
-
-export const Default: Story = {
-  args: {
-    userName: "John Doe",
-    userEmail: "john.doe@example.com",
-    avatarSrc: "https://avatars.githubusercontent.com/u/123456789?v=4",
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const NoAvatar: Story = {
-  args: {
-    userName: "Jane Smith",
-    userEmail: "jane.smith@example.com",
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const LongUserName: Story = {
-  args: {
-    userName: "Alexander Bartholomew Christopherson III",
-    userEmail: "alexander@example.com",
-    avatarSrc: "https://avatars.githubusercontent.com/u/987654321?v=4",
-    menuItemGroups: defaultMenuItemGroups,
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    ...Default.args,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const profileTrigger = canvas.getByText("John Doe");
-
-    await userEvent.click(profileTrigger);
-
-    // Wait for the popover to appear
-    await canvas.findByText("Edit profile");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenu.tsx b/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenu.tsx
deleted file mode 100644
index 09363315bdac..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenu.tsx
+++ /dev/null
@@ -1,183 +0,0 @@
-import * as React from "react";
-import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
-import {
-  Popover,
-  PopoverTrigger,
-  PopoverContent,
-} from "@/components/ui/popover";
-import {
-  IconType,
-  IconEdit,
-  IconLayoutDashboard,
-  IconUploadCloud,
-  IconSettings,
-  IconLogOut,
-  IconRefresh,
-  IconMarketplace,
-  IconLibrary,
-  IconBuilder,
-} from "../ui/icons";
-import Link from "next/link";
-import { ProfilePopoutMenuLogoutButton } from "./ProfilePopoutMenuLogoutButton";
-import { PublishAgentPopout } from "./composite/PublishAgentPopout";
-
-interface ProfilePopoutMenuProps {
-  userName?: string;
-  userEmail?: string;
-  avatarSrc?: string;
-  hideNavBarUsername?: boolean;
-  menuItemGroups: {
-    groupName?: string;
-    items: {
-      icon: IconType;
-      text: string;
-      href?: string;
-      onClick?: () => void;
-    }[];
-  }[];
-}
-
-export const ProfilePopoutMenu: React.FC<ProfilePopoutMenuProps> = ({
-  userName,
-  userEmail,
-  avatarSrc,
-  menuItemGroups,
-}) => {
-  const popupId = React.useId();
-
-  const getIcon = (icon: IconType) => {
-    const iconClass = "w-6 h-6";
-    switch (icon) {
-      case IconType.LayoutDashboard:
-        return <IconLayoutDashboard className={iconClass} />;
-      case IconType.UploadCloud:
-        return <IconUploadCloud className={iconClass} />;
-      case IconType.Edit:
-        return <IconEdit className={iconClass} />;
-      case IconType.Settings:
-        return <IconSettings className={iconClass} />;
-      case IconType.LogOut:
-        return <IconLogOut className={iconClass} />;
-      case IconType.Marketplace:
-        return <IconMarketplace className={iconClass} />;
-      case IconType.Library:
-        return <IconLibrary className={iconClass} />;
-      case IconType.Builder:
-        return <IconBuilder className={iconClass} />;
-      default:
-        return <IconRefresh className={iconClass} />;
-    }
-  };
-
-  return (
-    <Popover>
-      <PopoverTrigger asChild>
-        <button
-          type="button"
-          className="flex cursor-pointer items-center space-x-3"
-          aria-label="Open profile menu"
-          aria-controls={popupId}
-          aria-haspopup="true"
-          data-testid="profile-popout-menu-trigger"
-        >
-          <Avatar className="h-10 w-10">
-            <AvatarImage src={avatarSrc} alt="" aria-hidden="true" />
-            <AvatarFallback aria-hidden="true">
-              {userName?.charAt(0) || "U"}
-            </AvatarFallback>
-          </Avatar>
-        </button>
-      </PopoverTrigger>
-
-      <PopoverContent
-        id={popupId}
-        className="flex h-[380px] w-[300px] flex-col items-start justify-start gap-4 rounded-[26px] bg-zinc-400/70 p-6 shadow backdrop-blur-2xl dark:bg-zinc-800/70"
-      >
-        {/* Header with avatar and user info */}
-        <div className="inline-flex items-center justify-start gap-4 self-stretch">
-          <Avatar className="h-[60px] w-[60px]">
-            <AvatarImage src={avatarSrc} alt="" aria-hidden="true" />
-            <AvatarFallback aria-hidden="true">
-              {userName?.charAt(0) || "U"}
-            </AvatarFallback>
-          </Avatar>
-          <div className="relative h-[47px] w-[173px]">
-            <div className="absolute left-0 top-0 font-['Geist'] text-base font-semibold leading-7 text-white dark:text-neutral-200">
-              {userName}
-            </div>
-            <div className="absolute left-0 top-[23px] font-['Geist'] text-base font-normal leading-normal text-white dark:text-neutral-400">
-              {userEmail}
-            </div>
-          </div>
-        </div>
-
-        {/* Menu items */}
-        <div className="flex w-full flex-col items-start justify-start gap-1.5 rounded-[23px]">
-          {menuItemGroups.map((group, groupIndex) => (
-            <div
-              key={groupIndex}
-              className="flex w-full flex-col items-start justify-start gap-5 rounded-[18px] bg-white p-3.5 dark:bg-neutral-900"
-            >
-              {group.items.map((item, itemIndex) => {
-                if (item.href) {
-                  return (
-                    <Link
-                      key={itemIndex}
-                      href={item.href}
-                      className="inline-flex w-full items-center justify-start gap-2.5"
-                    >
-                      <div className="relative h-6 w-6">
-                        {getIcon(item.icon)}
-                      </div>
-                      <div className="font-['Geist'] text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
-                        {item.text}
-                      </div>
-                    </Link>
-                  );
-                } else if (item.text === "Log out") {
-                  return <ProfilePopoutMenuLogoutButton key={itemIndex} />;
-                } else if (item.text === "Publish an agent") {
-                  return (
-                    <PublishAgentPopout
-                      key={itemIndex}
-                      trigger={
-                        <div className="inline-flex w-full items-center justify-start gap-2.5">
-                          <div className="relative h-6 w-6">
-                            {getIcon(item.icon)}
-                          </div>
-                          <div className="font-['Geist'] text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
-                            {item.text}
-                          </div>
-                        </div>
-                      }
-                      inputStep="select"
-                      submissionData={undefined}
-                      openPopout={false}
-                    />
-                  );
-                } else {
-                  return (
-                    <div
-                      key={itemIndex}
-                      className="inline-flex w-full items-center justify-start gap-2.5"
-                      onClick={item.onClick}
-                      role="button"
-                      tabIndex={0}
-                    >
-                      <div className="relative h-6 w-6">
-                        {getIcon(item.icon)}
-                      </div>
-                      <div className="font-['Geist'] text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
-                        {item.text}
-                      </div>
-                    </div>
-                  );
-                }
-              })}
-            </div>
-          ))}
-        </div>
-      </PopoverContent>
-    </Popover>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenuLogoutButton.tsx b/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenuLogoutButton.tsx
deleted file mode 100644
index bf034ab5ad67..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/ProfilePopoutMenuLogoutButton.tsx
+++ /dev/null
@@ -1,22 +0,0 @@
-"use client";
-
-import { logout } from "@/app/login/actions";
-import { IconLogOut } from "@/components/ui/icons";
-
-export const ProfilePopoutMenuLogoutButton = () => {
-  return (
-    <div
-      className="inline-flex w-full items-center justify-start gap-2.5"
-      onClick={() => logout()}
-      role="button"
-      tabIndex={0}
-    >
-      <div className="relative h-6 w-6">
-        <IconLogOut className="h-6 w-6" />
-      </div>
-      <div className="font-['Geist'] text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
-        Log out
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/PublishAgentAwaitingReview.stories.tsx b/autogpt_platform/frontend/src/components/agptui/PublishAgentAwaitingReview.stories.tsx
deleted file mode 100644
index a3d807d2e334..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/PublishAgentAwaitingReview.stories.tsx
+++ /dev/null
@@ -1,27 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { PublishAgentAwaitingReview } from "./PublishAgentAwaitingReview";
-
-const meta: Meta<typeof PublishAgentAwaitingReview> = {
-  title: "AGPT UI/Publish Agent Awaiting Review",
-  component: PublishAgentAwaitingReview,
-  tags: ["autodocs"],
-  parameters: {
-    layout: "centered",
-  },
-};
-
-export default meta;
-type Story = StoryObj<typeof PublishAgentAwaitingReview>;
-
-export const Filled: Story = {
-  args: {
-    agentName: "AI Video Generator",
-    subheader: "Create Viral-Ready Content in Seconds",
-    description:
-      "AI Shortform Video Generator: Create Viral-Ready Content in Seconds Transform trending topics into engaging shortform videos with this cutting-edge AI Video Generator. Perfect for content creators, social media managers, and marketers looking to capitalize on the latest news and viral trends. Simply input your desired video count and source website, and watch as the AI scours the internet for the hottest stories, crafting them into attention-grabbing scripts optimized for platforms like TikTok, Instagram Reels, and YouTube Shorts. Key features include: - Customizable video count (1-5 per generation) - Flexible source selection for trending topics - AI-driven script writing following best practices for shortform content - Hooks that capture attention in the first 3 seconds - Dual narrative storytelling for maximum engagement - SEO-optimized content to boost discoverability - Integration with video generation tools for seamless production From hook to conclusion, each script is meticulously crafted to maintain viewer interest, incorporating proven techniques like 'but so' storytelling, visual metaphors, and strategically placed calls-to-action. The AI Shortform Video Generator streamlines your content creation process, allowing you to stay ahead of trends and consistently produce viral-worthy videos that resonate with your audience.",
-    thumbnailSrc: "https://picsum.photos/seed/video/500/350",
-    onClose: () => console.log("Close clicked"),
-    onDone: () => console.log("Done clicked"),
-    onViewProgress: () => console.log("View progress clicked"),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/PublishAgentAwaitingReview.tsx b/autogpt_platform/frontend/src/components/agptui/PublishAgentAwaitingReview.tsx
deleted file mode 100644
index 1e309ce3d208..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/PublishAgentAwaitingReview.tsx
+++ /dev/null
@@ -1,118 +0,0 @@
-"use client";
-
-import * as React from "react";
-import { IconClose } from "../ui/icons";
-import Image from "next/image";
-import { Button } from "../agptui/Button";
-
-interface PublishAgentAwaitingReviewProps {
-  agentName: string;
-  subheader: string;
-  description: string;
-  thumbnailSrc?: string;
-  onClose: () => void;
-  onDone: () => void;
-  onViewProgress: () => void;
-}
-
-export const PublishAgentAwaitingReview: React.FC<
-  PublishAgentAwaitingReviewProps
-> = ({
-  agentName,
-  subheader,
-  description,
-  thumbnailSrc,
-  onClose,
-  onDone,
-  onViewProgress,
-}) => {
-  return (
-    <div
-      className="inline-flex min-h-screen w-full flex-col items-center justify-center rounded-none bg-white dark:bg-neutral-900 sm:h-auto sm:min-h-[824px] sm:rounded-3xl"
-      role="dialog"
-      aria-labelledby="modal-title"
-    >
-      <div className="relative h-[180px] w-full rounded-none bg-white dark:bg-neutral-800 sm:h-[140px] sm:rounded-t-3xl">
-        <div className="absolute left-0 top-[40px] flex w-full flex-col items-center justify-start px-6 sm:top-[40px]">
-          <div
-            id="modal-title"
-            className="mb-4 text-center font-['Poppins'] text-xl font-semibold leading-relaxed text-neutral-900 dark:text-neutral-100 sm:mb-2 sm:text-2xl"
-          >
-            Agent is awaiting review
-          </div>
-          <div className="max-w-[280px] text-center font-['Inter'] text-sm font-normal leading-relaxed text-slate-500 dark:text-slate-400 sm:max-w-none">
-            In the meantime you can check your progress on your Creator
-            Dashboard page
-          </div>
-        </div>
-        <button
-          onClick={onClose}
-          className="absolute right-4 top-4 flex h-[38px] w-[38px] items-center justify-center rounded-full bg-gray-100 transition-colors hover:bg-gray-200 dark:bg-neutral-700 dark:hover:bg-neutral-600"
-          aria-label="Close dialog"
-        >
-          <IconClose
-            size="default"
-            className="text-neutral-600 dark:text-neutral-300"
-          />
-        </button>
-      </div>
-
-      <div className="flex flex-1 flex-col items-center gap-8 px-6 py-6 sm:gap-6">
-        <div className="mt-4 flex w-full flex-col items-center gap-6 sm:mt-0 sm:gap-4">
-          <div className="flex flex-col items-center gap-3 sm:gap-2">
-            <div className="text-center font-['Geist'] text-lg font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
-              {agentName}
-            </div>
-            <div className="max-w-[280px] text-center font-['Geist'] text-base font-normal leading-normal text-neutral-600 dark:text-neutral-400 sm:max-w-none">
-              {subheader}
-            </div>
-          </div>
-
-          <div
-            className="h-[280px] w-full rounded-xl bg-neutral-200 dark:bg-neutral-700 sm:h-[350px]"
-            role="img"
-            aria-label={
-              thumbnailSrc ? "Agent thumbnail" : "Thumbnail placeholder"
-            }
-          >
-            {thumbnailSrc && (
-              <Image
-                src={thumbnailSrc}
-                alt="Agent thumbnail"
-                width={500}
-                height={350}
-                className="h-full w-full rounded-xl object-cover"
-              />
-            )}
-          </div>
-
-          <div
-            className="h-[150px] w-full overflow-y-auto font-['Geist'] text-base font-normal leading-normal text-neutral-600 dark:text-neutral-400 sm:h-[180px]"
-            tabIndex={0}
-            role="region"
-            aria-label="Agent description"
-          >
-            {description}
-          </div>
-        </div>
-      </div>
-
-      <div className="flex w-full flex-col items-center justify-center gap-4 border-t border-slate-200 p-6 dark:border-slate-700 sm:flex-row">
-        <Button
-          onClick={onDone}
-          variant="outline"
-          className="h-12 w-full rounded-[59px] sm:flex-1"
-        >
-          Done
-        </Button>
-        <Button
-          onClick={onViewProgress}
-          variant="default"
-          className="h-12 w-full rounded-[59px] bg-neutral-800 text-white hover:bg-neutral-900 dark:bg-neutral-700 dark:text-neutral-100 dark:hover:bg-neutral-600 sm:flex-1"
-        >
-          View progress
-        </Button>
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelect.stories.tsx b/autogpt_platform/frontend/src/components/agptui/PublishAgentSelect.stories.tsx
deleted file mode 100644
index c9ddf9f7eaf1..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelect.stories.tsx
+++ /dev/null
@@ -1,101 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { PublishAgentSelect } from "./PublishAgentSelect";
-
-const meta: Meta<typeof PublishAgentSelect> = {
-  title: "AGPT UI/Publish Agent Select",
-  component: PublishAgentSelect,
-  tags: ["autodocs"],
-};
-
-export default meta;
-type Story = StoryObj<typeof PublishAgentSelect>;
-
-const mockAgents = [
-  {
-    name: "SEO Optimizer",
-    lastEdited: "2 days ago",
-    imageSrc: "https://picsum.photos/seed/seo/300/200",
-  },
-  {
-    name: "Content Writer",
-    lastEdited: "5 days ago",
-    imageSrc: "https://picsum.photos/seed/writer/300/200",
-  },
-  {
-    name: "Data Analyzer",
-    lastEdited: "1 week ago",
-    imageSrc: "https://picsum.photos/seed/data/300/200",
-  },
-  {
-    name: "Image Recognition",
-    lastEdited: "2 weeks ago",
-    imageSrc: "https://picsum.photos/seed/image/300/200",
-  },
-  {
-    name: "Chatbot Assistant",
-    lastEdited: "3 weeks ago",
-    imageSrc: "https://picsum.photos/seed/chat/300/200",
-  },
-  {
-    name: "Code Generator",
-    lastEdited: "1 month ago",
-    imageSrc: "https://picsum.photos/seed/code/300/200",
-  },
-  {
-    name: "AI Translator",
-    lastEdited: "6 weeks ago",
-    imageSrc: "https://picsum.photos/seed/translate/300/200",
-  },
-  {
-    name: "Voice Assistant",
-    lastEdited: "2 months ago",
-    imageSrc: "https://picsum.photos/seed/voice/300/200",
-  },
-  {
-    name: "Data Visualizer",
-    lastEdited: "3 months ago",
-    imageSrc: "https://picsum.photos/seed/visualize/300/200",
-  },
-];
-
-const defaultArgs = {
-  onSelect: (agentName: string) => console.log(`Selected: ${agentName}`),
-  onCancel: () => console.log("Cancelled"),
-  onNext: () => console.log("Next clicked"),
-  onOpenBuilder: () => console.log("Open builder clicked"),
-};
-
-export const Default: Story = {
-  args: {
-    ...defaultArgs,
-    agents: mockAgents,
-  },
-};
-
-export const NoAgents: Story = {
-  args: {
-    ...defaultArgs,
-    agents: [],
-  },
-};
-
-export const SingleAgent: Story = {
-  args: {
-    ...defaultArgs,
-    agents: [mockAgents[0]],
-  },
-};
-
-export const SixAgents: Story = {
-  args: {
-    ...defaultArgs,
-    agents: mockAgents.slice(0, 6),
-  },
-};
-
-export const NineAgents: Story = {
-  args: {
-    ...defaultArgs,
-    agents: mockAgents,
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelect.tsx b/autogpt_platform/frontend/src/components/agptui/PublishAgentSelect.tsx
deleted file mode 100644
index e5cf4b47c1b5..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelect.tsx
+++ /dev/null
@@ -1,179 +0,0 @@
-"use client";
-
-import * as React from "react";
-import Image from "next/image";
-import { Button } from "../agptui/Button";
-import { IconClose } from "../ui/icons";
-
-export interface Agent {
-  name: string;
-  id: string;
-  version: number;
-  lastEdited: string;
-  imageSrc: string;
-}
-
-interface PublishAgentSelectProps {
-  agents: Agent[];
-  onSelect: (agentId: string, agentVersion: number) => void;
-  onCancel: () => void;
-  onNext: (agentId: string, agentVersion: number) => void;
-  onClose: () => void;
-  onOpenBuilder: () => void;
-}
-
-export const PublishAgentSelect: React.FC<PublishAgentSelectProps> = ({
-  agents,
-  onSelect,
-  onCancel,
-  onNext,
-  onClose,
-  onOpenBuilder,
-}) => {
-  const [selectedAgent, setSelectedAgent] = React.useState<string | null>(null);
-  const [selectedAgentId, setSelectedAgentId] = React.useState<string | null>(
-    null,
-  );
-  const [selectedAgentVersion, setSelectedAgentVersion] = React.useState<
-    number | null
-  >(null);
-
-  const handleAgentClick = (
-    agentName: string,
-    agentId: string,
-    agentVersion: number,
-  ) => {
-    setSelectedAgent(agentName);
-    setSelectedAgentId(agentId);
-    setSelectedAgentVersion(agentVersion);
-    onSelect(agentId, agentVersion);
-  };
-
-  return (
-    <div className="mx-auto flex w-full max-w-[900px] flex-col rounded-3xl bg-white shadow-lg dark:bg-gray-800">
-      <div className="relative border-b border-slate-200 p-4 dark:border-slate-700 sm:p-6">
-        <div className="absolute right-4 top-4">
-          <button
-            onClick={onClose}
-            className="flex h-8 w-8 items-center justify-center rounded-full bg-gray-100 transition-colors hover:bg-gray-200 dark:bg-gray-700 dark:hover:bg-gray-600"
-            aria-label="Close"
-          >
-            <IconClose
-              size="default"
-              className="text-neutral-600 dark:text-neutral-400"
-            />
-          </button>
-        </div>
-        <div className="text-center">
-          <h3 className="font-poppins text-2xl font-semibold text-neutral-900 dark:text-neutral-100">
-            Publish Agent
-          </h3>
-          <p className="font-geist text-sm font-normal text-neutral-600 dark:text-neutral-400">
-            Select your project that you&apos;d like to publish
-          </p>
-        </div>
-      </div>
-
-      {agents.length === 0 ? (
-        <div className="inline-flex h-[370px] flex-col items-center justify-center gap-[29px] px-4 py-5 sm:px-6">
-          <div className="w-full text-center font-['Geist'] text-lg font-normal leading-7 text-neutral-600 dark:text-neutral-400 sm:w-[573px] sm:text-xl">
-            Uh-oh.. It seems like you don&apos;t have any agents in your
-            library.
-            <br />
-            We&apos;d suggest you to create an agent in our builder first
-          </div>
-          <Button
-            onClick={onOpenBuilder}
-            variant="default"
-            size="lg"
-            className="bg-neutral-800 text-white hover:bg-neutral-900"
-          >
-            Open builder
-          </Button>
-        </div>
-      ) : (
-        <>
-          <div className="flex-grow overflow-hidden p-4 sm:p-6">
-            <h3 className="sr-only">List of agents</h3>
-            <div
-              className="h-[300px] overflow-y-auto pr-2 sm:h-[400px] md:h-[500px]"
-              role="region"
-              aria-labelledby="agentListHeading"
-            >
-              <div id="agentListHeading" className="sr-only">
-                Scrollable list of agents
-              </div>
-              <div className="p-2">
-                <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3">
-                  {agents.map((agent) => (
-                    <div
-                      key={agent.name}
-                      className={`cursor-pointer overflow-hidden rounded-2xl transition-all ${
-                        selectedAgent === agent.name
-                          ? "shadow-lg ring-4 ring-violet-600"
-                          : "hover:shadow-md"
-                      }`}
-                      onClick={() =>
-                        handleAgentClick(agent.name, agent.id, agent.version)
-                      }
-                      onKeyDown={(e) => {
-                        if (e.key === "Enter" || e.key === " ") {
-                          e.preventDefault();
-                          handleAgentClick(agent.name, agent.id, agent.version);
-                        }
-                      }}
-                      tabIndex={0}
-                      role="button"
-                      aria-pressed={selectedAgent === agent.name}
-                    >
-                      <div className="relative h-32 bg-gray-100 dark:bg-gray-700 sm:h-40">
-                        <Image
-                          src={agent.imageSrc}
-                          alt={agent.name}
-                          fill
-                          style={{ objectFit: "cover" }}
-                        />
-                      </div>
-                      <div className="p-3">
-                        <p className="font-poppins text-base font-medium leading-normal text-neutral-800 dark:text-neutral-100 sm:text-base">
-                          {agent.name}
-                        </p>
-                        <small className="font-geist text-xs font-normal leading-[14px] text-neutral-500 dark:text-neutral-400 sm:text-sm">
-                          Edited {agent.lastEdited}
-                        </small>
-                      </div>
-                    </div>
-                  ))}
-                </div>
-              </div>
-            </div>
-          </div>
-
-          <div className="flex justify-between gap-4 border-t border-slate-200 p-4 dark:border-slate-700 sm:p-6">
-            <Button
-              onClick={onCancel}
-              variant="outline"
-              size="default"
-              className="w-full sm:flex-1"
-            >
-              Back
-            </Button>
-            <Button
-              onClick={() => {
-                if (selectedAgentId && selectedAgentVersion) {
-                  onNext(selectedAgentId, selectedAgentVersion);
-                }
-              }}
-              disabled={!selectedAgentId || !selectedAgentVersion}
-              variant="default"
-              size="default"
-              className="w-full bg-neutral-800 text-white hover:bg-neutral-900 sm:flex-1"
-            >
-              Next
-            </Button>
-          </div>
-        </>
-      )}
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelectInfo.stories.tsx b/autogpt_platform/frontend/src/components/agptui/PublishAgentSelectInfo.stories.tsx
deleted file mode 100644
index a7cf251d3b79..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelectInfo.stories.tsx
+++ /dev/null
@@ -1,81 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { PublishAgentInfo } from "./PublishAgentSelectInfo";
-
-const meta: Meta<typeof PublishAgentInfo> = {
-  title: "AGPT UI/Publish Agent Info",
-  component: PublishAgentInfo,
-  tags: ["autodocs"],
-  decorators: [
-    (Story) => (
-      <div style={{ maxWidth: "670px", margin: "0 auto" }}>
-        <Story />
-      </div>
-    ),
-  ],
-};
-
-export default meta;
-type Story = StoryObj<typeof PublishAgentInfo>;
-
-export const Default: Story = {
-  args: {
-    onBack: () => console.log("Back clicked"),
-    onSubmit: () => console.log("Submit clicked"),
-    onClose: () => console.log("Close clicked"),
-  },
-};
-
-export const Filled: Story = {
-  args: {
-    ...Default.args,
-    initialData: {
-      title: "Super SEO Optimizer",
-      subheader: "Boost your website's search engine rankings",
-      thumbnailSrc: "https://picsum.photos/seed/seo/500/350",
-      youtubeLink: "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
-      category: "SEO",
-      description:
-        "This AI agent specializes in analyzing websites and providing actionable recommendations to improve search engine optimization. It can perform keyword research, analyze backlinks, and suggest content improvements.",
-    },
-  },
-};
-
-export const ThreeImages: Story = {
-  args: {
-    ...Default.args,
-    initialData: {
-      title: "Multi-Image Agent",
-      subheader: "Showcasing multiple images",
-      thumbnailSrc: "https://picsum.photos/seed/initial/500/350",
-      youtubeLink: "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
-      category: "SEO",
-      description:
-        "This agent allows you to upload and manage multiple images.",
-      additionalImages: [
-        "https://picsum.photos/seed/second/500/350",
-        "https://picsum.photos/seed/third/500/350",
-      ],
-    },
-  },
-};
-
-export const SixImages: Story = {
-  args: {
-    ...Default.args,
-    initialData: {
-      title: "Gallery Agent",
-      subheader: "Showcasing a gallery of images",
-      thumbnailSrc: "https://picsum.photos/seed/gallery1/500/350",
-      youtubeLink: "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
-      category: "SEO",
-      description: "This agent displays a gallery of six images.",
-      additionalImages: [
-        "https://picsum.photos/seed/gallery2/500/350",
-        "https://picsum.photos/seed/gallery3/500/350",
-        "https://picsum.photos/seed/gallery4/500/350",
-        "https://picsum.photos/seed/gallery5/500/350",
-        "https://picsum.photos/seed/gallery6/500/350",
-      ],
-    },
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelectInfo.tsx b/autogpt_platform/frontend/src/components/agptui/PublishAgentSelectInfo.tsx
deleted file mode 100644
index 864528a47f13..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/PublishAgentSelectInfo.tsx
+++ /dev/null
@@ -1,392 +0,0 @@
-"use client";
-
-import * as React from "react";
-import Image from "next/image";
-import { Button } from "../agptui/Button";
-import { IconClose, IconPlus } from "../ui/icons";
-import BackendAPI from "@/lib/autogpt-server-api";
-
-interface PublishAgentInfoProps {
-  onBack: () => void;
-  onSubmit: (
-    name: string,
-    subHeading: string,
-    slug: string,
-    description: string,
-    imageUrls: string[],
-    videoUrl: string,
-    categories: string[],
-  ) => void;
-  onClose: () => void;
-  initialData?: {
-    title: string;
-    subheader: string;
-    slug: string;
-    thumbnailSrc: string;
-    youtubeLink: string;
-    category: string;
-    description: string;
-    additionalImages?: string[];
-  };
-}
-
-export const PublishAgentInfo: React.FC<PublishAgentInfoProps> = ({
-  onBack,
-  onSubmit,
-  onClose,
-  initialData,
-}) => {
-  const [images, setImages] = React.useState<string[]>(
-    initialData?.additionalImages
-      ? [initialData.thumbnailSrc, ...initialData.additionalImages]
-      : initialData?.thumbnailSrc
-        ? [initialData.thumbnailSrc]
-        : [],
-  );
-  const [selectedImage, setSelectedImage] = React.useState<string | null>(
-    initialData?.thumbnailSrc || null,
-  );
-  const [title, setTitle] = React.useState(initialData?.title || "");
-  const [subheader, setSubheader] = React.useState(
-    initialData?.subheader || "",
-  );
-  const [youtubeLink, setYoutubeLink] = React.useState(
-    initialData?.youtubeLink || "",
-  );
-  const [category, setCategory] = React.useState(initialData?.category || "");
-  const [description, setDescription] = React.useState(
-    initialData?.description || "",
-  );
-  const [slug, setSlug] = React.useState(initialData?.slug || "");
-  const thumbnailsContainerRef = React.useRef<HTMLDivElement | null>(null);
-
-  const handleRemoveImage = (indexToRemove: number) => {
-    const newImages = [...images];
-    newImages.splice(indexToRemove, 1);
-    setImages(newImages);
-    if (newImages[indexToRemove] === selectedImage) {
-      setSelectedImage(newImages[0] || null);
-    }
-    if (newImages.length === 0) {
-      setSelectedImage(null);
-    } else {
-      console.log("images", newImages);
-    }
-  };
-
-  const handleAddImage = async () => {
-    const input = document.createElement("input");
-    input.type = "file";
-    input.accept = "image/*";
-
-    // Create a promise that resolves when file is selected
-    const fileSelected = new Promise<File | null>((resolve) => {
-      input.onchange = (e) => {
-        const file = (e.target as HTMLInputElement).files?.[0];
-        resolve(file || null);
-      };
-    });
-
-    // Trigger file selection
-    input.click();
-
-    // Wait for file selection
-    const file = await fileSelected;
-    if (!file) return;
-
-    try {
-      const api = new BackendAPI();
-
-      const imageUrl = (await api.uploadStoreSubmissionMedia(file)).replace(
-        /^"(.*)"$/,
-        "$1",
-      );
-
-      setImages((prev) => {
-        const newImages = [...prev, imageUrl];
-        console.log("Added image. Images now:", newImages);
-        return newImages;
-      });
-      if (!selectedImage) {
-        setSelectedImage(imageUrl);
-      }
-    } catch (error) {
-      console.error("Error uploading image:", error);
-    }
-  };
-
-  const handleSubmit = (e: React.MouseEvent<HTMLButtonElement>) => {
-    e.preventDefault();
-    onSubmit(title, subheader, slug, description, images, youtubeLink, [
-      category,
-    ]);
-  };
-
-  return (
-    <div className="mx-auto flex w-full flex-col rounded-3xl bg-white dark:bg-gray-800">
-      <div className="relative p-6">
-        <div className="absolute right-4 top-2">
-          <button
-            onClick={onClose}
-            className="flex h-[38px] w-[38px] items-center justify-center rounded-full bg-gray-100 transition-colors hover:bg-gray-200 dark:bg-gray-700 dark:hover:bg-gray-600"
-            aria-label="Close"
-          >
-            <IconClose
-              size="default"
-              className="text-neutral-600 dark:text-neutral-300"
-            />
-          </button>
-        </div>
-        <h3 className="h3-poppins text-center text-2xl font-semibold leading-loose text-neutral-900 dark:text-neutral-100">
-          Publish Agent
-        </h3>
-        <p className="p text-center text-base font-normal leading-7 text-neutral-600 dark:text-neutral-400">
-          Write a bit of details about your agent
-        </p>
-      </div>
-
-      <div className="flex-grow space-y-5 overflow-y-auto p-6">
-        <div className="space-y-1.5">
-          <label
-            htmlFor="title"
-            className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300"
-          >
-            Title
-          </label>
-          <input
-            id="title"
-            type="text"
-            placeholder="Agent name"
-            value={title}
-            onChange={(e) => setTitle(e.target.value)}
-            className="p-ui-medium w-full rounded-[55px] border border-slate-200 py-2.5 pl-4 pr-14 text-base font-normal leading-normal text-slate-500 dark:border-slate-700 dark:bg-gray-700 dark:text-slate-300"
-          />
-        </div>
-
-        <div className="space-y-1.5">
-          <label
-            htmlFor="subheader"
-            className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300"
-          >
-            Subheader
-          </label>
-          <input
-            id="subheader"
-            type="text"
-            placeholder="A tagline for your agent"
-            value={subheader}
-            onChange={(e) => setSubheader(e.target.value)}
-            className="w-full rounded-[55px] border border-slate-200 py-2.5 pl-4 pr-14 font-['Geist'] text-base font-normal leading-normal text-slate-500 dark:border-slate-700 dark:bg-gray-700 dark:text-slate-300"
-          />
-        </div>
-
-        <div className="space-y-1.5">
-          <label
-            htmlFor="slug"
-            className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300"
-          >
-            Slug
-          </label>
-          <input
-            id="slug"
-            type="text"
-            placeholder="URL-friendly name for your agent"
-            value={slug}
-            onChange={(e) => setSlug(e.target.value)}
-            className="w-full rounded-[55px] border border-slate-200 py-2.5 pl-4 pr-14 font-['Geist'] text-base font-normal leading-normal text-slate-500 dark:border-slate-700 dark:bg-gray-700 dark:text-slate-300"
-          />
-        </div>
-
-        <div className="space-y-2.5">
-          <label className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300">
-            Thumbnail images
-          </label>
-          <div className="flex h-[350px] items-center justify-center overflow-hidden rounded-[20px] border border-neutral-300 p-2.5 dark:border-neutral-600">
-            {selectedImage !== null && selectedImage !== undefined ? (
-              <Image
-                src={selectedImage}
-                alt="Selected Thumbnail"
-                width={500}
-                height={350}
-                style={{ objectFit: "cover" }}
-                className="rounded-md"
-              />
-            ) : (
-              <p className="font-['Geist'] text-sm font-normal text-neutral-600 dark:text-neutral-400">
-                No images yet
-              </p>
-            )}
-          </div>
-          <div
-            ref={thumbnailsContainerRef}
-            className="flex items-center space-x-2 overflow-x-auto"
-          >
-            {images.length === 0 ? (
-              <div className="flex w-full justify-center">
-                <Button
-                  onClick={handleAddImage}
-                  variant="ghost"
-                  className="flex h-[70px] w-[100px] flex-col items-center justify-center rounded-md bg-neutral-200 hover:bg-neutral-300 dark:bg-neutral-700 dark:hover:bg-neutral-600"
-                >
-                  <label htmlFor="image-upload" className="cursor-pointer">
-                    <input
-                      id="image-upload"
-                      type="file"
-                      accept="image/*"
-                      onChange={handleAddImage}
-                      className="hidden"
-                    />
-                    <IconPlus
-                      size="lg"
-                      className="text-neutral-600 dark:text-neutral-300"
-                    />
-                    <span className="mt-1 font-['Geist'] text-xs font-normal text-neutral-600 dark:text-neutral-300">
-                      Add image
-                    </span>
-                  </label>
-                </Button>
-              </div>
-            ) : (
-              <>
-                {images.map((src, index) => (
-                  <div key={index} className="relative flex-shrink-0">
-                    <Image
-                      src={src}
-                      alt={`Thumbnail ${index + 1}`}
-                      width={100}
-                      height={70}
-                      style={{ objectFit: "cover" }}
-                      className="cursor-pointer rounded-md"
-                      onClick={() => setSelectedImage(src)}
-                    />
-                    <button
-                      onClick={() => handleRemoveImage(index)}
-                      className="absolute right-1 top-1 flex h-5 w-5 items-center justify-center rounded-full bg-white bg-opacity-70 transition-opacity hover:bg-opacity-100 dark:bg-gray-800 dark:bg-opacity-70 dark:hover:bg-opacity-100"
-                      aria-label="Remove image"
-                    >
-                      <IconClose
-                        size="sm"
-                        className="text-neutral-600 dark:text-neutral-300"
-                      />
-                    </button>
-                  </div>
-                ))}
-                <Button
-                  onClick={handleAddImage}
-                  variant="ghost"
-                  className="flex h-[70px] w-[100px] flex-col items-center justify-center rounded-md bg-neutral-200 hover:bg-neutral-300 dark:bg-neutral-700 dark:hover:bg-neutral-600"
-                >
-                  <IconPlus
-                    size="lg"
-                    className="text-neutral-600 dark:text-neutral-300"
-                  />
-                  <span className="mt-1 font-['Geist'] text-xs font-normal text-neutral-600 dark:text-neutral-300">
-                    Add image
-                  </span>
-                </Button>
-              </>
-            )}
-          </div>
-        </div>
-
-        <div className="space-y-1.5">
-          <label className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300">
-            AI image generator
-          </label>
-          <div className="flex items-center justify-between">
-            <p className="text-base font-normal leading-normal text-slate-700 dark:text-slate-400">
-              You can use AI to generate a cover image for you
-            </p>
-            <Button
-              variant="default"
-              size="sm"
-              className="bg-neutral-800 text-white hover:bg-neutral-900 dark:bg-neutral-600 dark:hover:bg-neutral-500"
-            >
-              Generate
-            </Button>
-          </div>
-        </div>
-
-        <div className="space-y-1.5">
-          <label
-            htmlFor="youtube"
-            className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300"
-          >
-            YouTube video link
-          </label>
-          <input
-            id="youtube"
-            type="text"
-            placeholder="Paste a video link here"
-            value={youtubeLink}
-            onChange={(e) => setYoutubeLink(e.target.value)}
-            className="w-full rounded-[55px] border border-slate-200 py-2.5 pl-4 pr-14 font-['Geist'] text-base font-normal leading-normal text-slate-500 dark:border-slate-700 dark:bg-gray-700 dark:text-slate-300"
-          />
-        </div>
-
-        <div className="space-y-1.5">
-          <label
-            htmlFor="category"
-            className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300"
-          >
-            Category
-          </label>
-          <select
-            id="category"
-            value={category}
-            onChange={(e) => setCategory(e.target.value)}
-            className="w-full appearance-none rounded-[55px] border border-slate-200 py-2.5 pl-4 pr-5 font-['Geist'] text-base font-normal leading-normal text-slate-500 dark:border-slate-700 dark:bg-gray-700 dark:text-slate-300"
-          >
-            <option value="">Select a category for your agent</option>
-            <option value="productivity">Productivity</option>
-            <option value="writing">Writing & Content</option>
-            <option value="development">Development</option>
-            <option value="data">Data & Analytics</option>
-            <option value="marketing">Marketing & SEO</option>
-            <option value="research">Research & Learning</option>
-            <option value="creative">Creative & Design</option>
-            <option value="business">Business & Finance</option>
-            <option value="personal">Personal Assistant</option>
-            <option value="other">Other</option>
-            {/* Add more options here */}
-          </select>
-        </div>
-
-        <div className="space-y-1.5">
-          <label
-            htmlFor="description"
-            className="text-sm font-medium leading-tight text-slate-950 dark:text-slate-300"
-          >
-            Description
-          </label>
-          <textarea
-            id="description"
-            placeholder="Describe your agent and what it does"
-            value={description}
-            onChange={(e) => setDescription(e.target.value)}
-            className="h-[100px] w-full resize-none rounded-2xl border border-slate-200 bg-white py-2.5 pl-4 pr-14 font-['Geist'] text-base font-normal leading-normal text-slate-900 dark:border-slate-700 dark:bg-gray-700 dark:text-slate-300"
-          ></textarea>
-        </div>
-      </div>
-
-      <div className="flex justify-between gap-4 border-t border-slate-200 p-6 dark:border-slate-700">
-        <Button
-          onClick={onBack}
-          variant="outline"
-          size="default"
-          className="w-full dark:border-slate-700 dark:text-slate-300 sm:flex-1"
-        >
-          Back
-        </Button>
-        <Button
-          onClick={handleSubmit}
-          variant="default"
-          size="default"
-          className="w-full bg-neutral-800 text-white hover:bg-neutral-900 dark:bg-neutral-600 dark:hover:bg-neutral-500 sm:flex-1"
-        >
-          Submit for review
-        </Button>
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/RatingCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/RatingCard.stories.tsx
deleted file mode 100644
index 64b7a2f55e9a..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/RatingCard.stories.tsx
+++ /dev/null
@@ -1,44 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { RatingCard } from "./RatingCard";
-
-const meta = {
-  title: "AGPT UI/RatingCard",
-  component: RatingCard,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof RatingCard>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    agentName: "Test Agent",
-    onSubmit: (rating) => {
-      console.log("Rating submitted:", rating);
-    },
-    onClose: () => {
-      console.log("Rating card closed");
-    },
-  },
-};
-
-export const LongAgentName: Story = {
-  args: {
-    agentName: "Very Long Agent Name That Might Need Special Handling",
-    onSubmit: (rating) => {
-      console.log("Rating submitted:", rating);
-    },
-    onClose: () => {
-      console.log("Rating card closed");
-    },
-  },
-};
-
-export const WithoutCallbacks: Story = {
-  args: {
-    agentName: "Test Agent",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/SearchBar.stories.tsx b/autogpt_platform/frontend/src/components/agptui/SearchBar.stories.tsx
deleted file mode 100644
index a807a1d1b8bb..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/SearchBar.stories.tsx
+++ /dev/null
@@ -1,86 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { SearchBar } from "./SearchBar";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Search Bar",
-  component: SearchBar,
-  parameters: {
-    layout: {
-      center: true,
-      padding: 0,
-    },
-    nextjs: {
-      appDirectory: true,
-      navigation: {
-        pathname: "/search",
-        query: {
-          searchTerm: "",
-        },
-      },
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    placeholder: { control: "text" },
-    backgroundColor: { control: "text" },
-    iconColor: { control: "text" },
-    textColor: { control: "text" },
-    placeholderColor: { control: "text" },
-  },
-  decorators: [
-    (Story) => (
-      <div className="mx-auto w-full max-w-screen-lg p-4">
-        <Story />
-      </div>
-    ),
-  ],
-} satisfies Meta<typeof SearchBar>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    placeholder: 'Search for tasks like "optimise SEO"',
-  },
-};
-
-export const CustomStyles: Story = {
-  args: {
-    placeholder: "Enter your search query",
-    backgroundColor: "bg-blue-100",
-    iconColor: "text-blue-500",
-    textColor: "text-blue-700",
-    placeholderColor: "text-blue-400",
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    placeholder: "Type and press Enter",
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const input = canvas.getByPlaceholderText("Type and press Enter");
-
-    await userEvent.type(input, "test query");
-    await userEvent.keyboard("{Enter}");
-
-    await expect(input).toHaveValue("test query");
-  },
-};
-
-export const EmptySubmit: Story = {
-  args: {
-    placeholder: "Empty submit test",
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const input = canvas.getByPlaceholderText("Empty submit test");
-
-    await userEvent.keyboard("{Enter}");
-
-    await expect(input).toHaveValue("");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx b/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx
index 95e3a3fe87a6..713ac0b07507 100644
--- a/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx
@@ -36,7 +36,7 @@ export const SearchBar: React.FC<SearchBarProps> = ({
     if (searchQuery.trim()) {
       // Encode the search term and navigate to the desired path
       const encodedTerm = encodeURIComponent(searchQuery);
-      router.push(`/store/search?searchTerm=${encodedTerm}`);
+      router.push(`/marketplace/search?searchTerm=${encodedTerm}`);
     }
   };
 
@@ -44,7 +44,7 @@ export const SearchBar: React.FC<SearchBarProps> = ({
     <form
       onSubmit={handleSubmit}
       data-testid="store-search-bar"
-      className={`${width} ${height} px-4 py-2 md:px-6 md:py-1 ${backgroundColor} flex items-center justify-center gap-2 rounded-full md:gap-5`}
+      className={`${width} ${height} px-4 pt-2 md:px-6 md:pt-1 ${backgroundColor} flex items-center justify-center gap-2 rounded-full md:gap-5`}
     >
       <MagnifyingGlassIcon className={`h-5 w-5 md:h-7 md:w-7 ${iconColor}`} />
       <input
@@ -52,7 +52,7 @@ export const SearchBar: React.FC<SearchBarProps> = ({
         value={searchQuery}
         onChange={(e) => setSearchQuery(e.target.value)}
         placeholder={placeholder}
-        className={`flex-grow border-none bg-transparent ${textColor} font-['Geist'] text-lg font-normal leading-[2.25rem] tracking-tight md:text-xl placeholder:${placeholderColor} focus:outline-none`}
+        className={`flex-grow border-none bg-transparent ${textColor} font-sans text-lg font-normal leading-[2.25rem] tracking-tight md:text-xl placeholder:${placeholderColor} focus:outline-none`}
         data-testid="store-search-input"
       />
     </form>
diff --git a/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.stories.tsx b/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.stories.tsx
deleted file mode 100644
index f7898c855708..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.stories.tsx
+++ /dev/null
@@ -1,23 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { SettingsInputForm } from "./SettingsInputForm";
-
-const meta: Meta<typeof SettingsInputForm> = {
-  title: "AGPT UI/Settings/Settings Input Form",
-  component: SettingsInputForm,
-  parameters: {
-    layout: "fullscreen",
-  },
-};
-
-export default meta;
-type Story = StoryObj<typeof SettingsInputForm>;
-
-export const Default: Story = {
-  args: {
-    email: "johndoe@email.com",
-    desktopNotifications: {
-      first: false,
-      second: true,
-    },
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.tsx b/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.tsx
deleted file mode 100644
index 9ea01bc68785..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.tsx
+++ /dev/null
@@ -1,134 +0,0 @@
-"use client";
-
-import * as React from "react";
-import { Button } from "@/components/ui/button";
-import useSupabase from "@/hooks/useSupabase";
-
-interface SettingsInputFormProps {
-  email?: string;
-  desktopNotifications?: {
-    first: boolean;
-    second: boolean;
-  };
-}
-
-export const SettingsInputForm = ({
-  email = "johndoe@email.com",
-  desktopNotifications = { first: false, second: true },
-}: SettingsInputFormProps) => {
-  const [password, setPassword] = React.useState("");
-  const [confirmPassword, setConfirmPassword] = React.useState("");
-  const [passwordsMatch, setPasswordsMatch] = React.useState(true);
-  const { supabase } = useSupabase();
-
-  const handleSaveChanges = async () => {
-    if (password !== confirmPassword) {
-      setPasswordsMatch(false);
-      return;
-    }
-    setPasswordsMatch(true);
-    if (supabase) {
-      try {
-        const { error } = await supabase.auth.updateUser({
-          password: password,
-        });
-        if (error) {
-          console.error("Error updating user:", error);
-        } else {
-          console.log("User updated successfully");
-        }
-      } catch (error) {
-        console.error("Error updating user:", error);
-      }
-    }
-  };
-
-  const handleCancel = () => {
-    setPassword("");
-    setConfirmPassword("");
-    setPasswordsMatch(true);
-  };
-
-  return (
-    <div className="mx-auto w-full max-w-[1077px] bg-white px-4 pt-8 dark:bg-neutral-900 sm:px-6 sm:pt-16">
-      <h1 className="mb-8 text-2xl font-semibold text-slate-950 dark:text-slate-200 sm:mb-16 sm:text-3xl">
-        Settings
-      </h1>
-
-      {/* My Account Section */}
-      <section aria-labelledby="account-heading">
-        <h2
-          id="account-heading"
-          className="mb-8 text-lg font-medium text-neutral-500 dark:text-neutral-400 sm:mb-12"
-        >
-          My account
-        </h2>
-        <div className="flex max-w-[800px] flex-col gap-7">
-          {/* Password Input */}
-          <div className="relative">
-            <div className="flex flex-col gap-1.5">
-              <label
-                htmlFor="password-input"
-                className="text-base font-medium text-slate-950 dark:text-slate-200"
-              >
-                Password
-              </label>
-              <input
-                id="password-input"
-                type="password"
-                value={password}
-                onChange={(e) => setPassword(e.target.value)}
-                className="h-[50px] w-full rounded-[35px] border border-neutral-200 bg-transparent px-6 py-3 text-base text-slate-950 dark:border-neutral-700 dark:text-white"
-                aria-label="Password field"
-              />
-            </div>
-          </div>
-
-          {/* Confirm Password Input */}
-          <div className="relative">
-            <div className="flex flex-col gap-1.5">
-              <label
-                htmlFor="confirm-password-input"
-                className="text-base font-medium text-slate-950 dark:text-slate-200"
-              >
-                Confirm Password
-              </label>
-              <input
-                id="confirm-password-input"
-                type="password"
-                value={confirmPassword}
-                onChange={(e) => setConfirmPassword(e.target.value)}
-                className="h-[50px] w-full rounded-[35px] border border-neutral-200 bg-transparent px-6 py-3 text-base text-slate-950 dark:border-neutral-700 dark:text-white"
-                aria-label="Confirm Password field"
-              />
-            </div>
-          </div>
-        </div>
-      </section>
-
-      <div
-        className="my-8 border-t border-neutral-200 dark:border-neutral-700 sm:my-12"
-        role="separator"
-      />
-
-      <div className="mt-8 flex justify-end">
-        <div className="flex gap-3">
-          <Button
-            variant="secondary"
-            className="h-[50px] rounded-[35px] bg-neutral-200 px-6 py-3 font-['Geist'] text-base font-medium text-neutral-800 transition-colors hover:bg-neutral-300 dark:bg-neutral-700 dark:text-neutral-200 dark:hover:bg-neutral-600"
-            onClick={handleCancel}
-          >
-            Cancel
-          </Button>
-          <Button
-            variant="default"
-            className="h-[50px] rounded-[35px] bg-neutral-800 px-6 py-3 font-['Geist'] text-base font-medium text-white transition-colors hover:bg-neutral-900 dark:bg-neutral-900 dark:hover:bg-neutral-800"
-            onClick={handleSaveChanges}
-          >
-            Save changes
-          </Button>
-        </div>
-      </div>
-    </div>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Sidebar.stories.tsx b/autogpt_platform/frontend/src/components/agptui/Sidebar.stories.tsx
deleted file mode 100644
index 24a10df1ab3f..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/Sidebar.stories.tsx
+++ /dev/null
@@ -1,34 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { Sidebar } from "./Sidebar";
-
-const meta = {
-  title: "AGPT UI/Sidebar",
-  component: Sidebar,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    linkGroups: { control: "object" },
-  },
-} satisfies Meta<typeof Sidebar>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const defaultLinkGroups = [
-  {
-    links: [
-      { text: "Agent dashboard", href: "/dashboard" },
-      { text: "Integrations", href: "/integrations" },
-      { text: "Profile", href: "/profile" },
-      { text: "Settings", href: "/settings" },
-    ],
-  },
-];
-
-export const Default: Story = {
-  args: {
-    linkGroups: defaultLinkGroups,
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx b/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx
index d75c372c10cd..10d4e09286d4 100644
--- a/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx
@@ -3,25 +3,48 @@ import Link from "next/link";
 import { Button } from "./Button";
 import { Sheet, SheetContent, SheetTrigger } from "@/components/ui/sheet";
 import { Menu } from "lucide-react";
-import {
-  IconDashboardLayout,
-  IconIntegrations,
-  IconProfile,
-  IconSliders,
-} from "../ui/icons";
+import { IconDashboardLayout } from "../ui/icons";
 
-interface SidebarLinkGroup {
-  links: {
-    text: string;
-    href: string;
-  }[];
+export interface SidebarLink {
+  text: string;
+  href: string;
+  icon?: React.ReactNode;
 }
 
-interface SidebarProps {
+export interface SidebarLinkGroup {
+  links: SidebarLink[];
+}
+
+export interface SidebarProps {
   linkGroups: SidebarLinkGroup[];
 }
 
+// Helper function to get the default icon component based on link text
+const getDefaultIconForLink = () => {
+  // Default icon
+  return <IconDashboardLayout className="h-6 w-6" />;
+};
+
 export const Sidebar: React.FC<SidebarProps> = ({ linkGroups }) => {
+  // Extract all links from linkGroups
+  const allLinks = linkGroups.flatMap((group) => group.links);
+
+  // Function to render link items
+  const renderLinks = () => {
+    return allLinks.map((link, index) => (
+      <Link
+        key={`${link.href}-${index}`}
+        href={link.href}
+        className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
+      >
+        {link.icon || getDefaultIconForLink()}
+        <div className="p-ui-medium text-base font-medium leading-normal">
+          {link.text}
+        </div>
+      </Link>
+    ));
+  };
+
   return (
     <>
       <Sheet>
@@ -40,42 +63,7 @@ export const Sidebar: React.FC<SidebarProps> = ({ linkGroups }) => {
         >
           <div className="h-full w-full rounded-2xl bg-zinc-200 dark:bg-zinc-800">
             <div className="inline-flex h-[264px] flex-col items-start justify-start gap-6 p-3">
-              <Link
-                href="/store/dashboard"
-                className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-              >
-                <IconDashboardLayout className="h-6 w-6" />
-                <div className="p-ui-medium text-base font-medium leading-normal">
-                  Creator dashboard
-                </div>
-              </Link>
-              <Link
-                href="/integrations"
-                className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-              >
-                <IconIntegrations className="h-6 w-6" />
-                <div className="p-ui-medium text-base font-medium leading-normal">
-                  Integrations
-                </div>
-              </Link>
-              <Link
-                href="/store/profile"
-                className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-              >
-                <IconProfile className="h-6 w-6" />
-                <div className="p-ui-medium text-base font-medium leading-normal">
-                  Profile
-                </div>
-              </Link>
-              <Link
-                href="/store/settings"
-                className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-              >
-                <IconSliders className="h-6 w-6" />
-                <div className="p-ui-medium text-base font-medium leading-normal">
-                  Settings
-                </div>
-              </Link>
+              {renderLinks()}
             </div>
           </div>
         </SheetContent>
@@ -84,42 +72,7 @@ export const Sidebar: React.FC<SidebarProps> = ({ linkGroups }) => {
       <div className="relative hidden h-[912px] w-[234px] border-none lg:block">
         <div className="h-full w-full rounded-2xl bg-zinc-200 dark:bg-zinc-800">
           <div className="inline-flex h-[264px] flex-col items-start justify-start gap-6 p-3">
-            <Link
-              href="/store/dashboard"
-              className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-            >
-              <IconDashboardLayout className="h-6 w-6" />
-              <div className="p-ui-medium text-base font-medium leading-normal">
-                Agent dashboard
-              </div>
-            </Link>
-            <Link
-              href="/integrations"
-              className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-            >
-              <IconIntegrations className="h-6 w-6" />
-              <div className="p-ui-medium text-base font-medium leading-normal">
-                Integrations
-              </div>
-            </Link>
-            <Link
-              href="/store/profile"
-              className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-            >
-              <IconProfile className="h-6 w-6" />
-              <div className="p-ui-medium text-base font-medium leading-normal">
-                Profile
-              </div>
-            </Link>
-            <Link
-              href="/store/settings"
-              className="inline-flex w-full items-center gap-2.5 rounded-xl px-3 py-3 text-neutral-800 hover:bg-neutral-800 hover:text-white dark:text-neutral-200 dark:hover:bg-neutral-700 dark:hover:text-white"
-            >
-              <IconSliders className="h-6 w-6" />
-              <div className="p-ui-medium text-base font-medium leading-normal">
-                Settings
-              </div>
-            </Link>
+            {renderLinks()}
           </div>
         </div>
       </div>
diff --git a/autogpt_platform/frontend/src/components/agptui/SmartImage.tsx b/autogpt_platform/frontend/src/components/agptui/SmartImage.tsx
new file mode 100644
index 000000000000..525096f0598e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/SmartImage.tsx
@@ -0,0 +1,43 @@
+"use client";
+import { cn } from "@/lib/utils";
+import Image from "next/image";
+import { useState } from "react";
+
+interface SmartImageProps {
+  src?: string | null;
+  alt: string;
+  imageContain?: boolean;
+  className?: string;
+}
+
+export default function SmartImage({
+  src,
+  alt,
+  imageContain,
+  className,
+}: SmartImageProps) {
+  const [isLoading, setIsLoading] = useState(true);
+  const shouldShowSkeleton = isLoading || !src;
+
+  return (
+    <div className={cn("relative overflow-hidden", className)}>
+      {src && (
+        <Image
+          src={src}
+          alt={alt}
+          fill
+          onLoad={() => setIsLoading(false)}
+          className={cn(
+            "rounded-inherit object-center transition-opacity duration-300",
+            isLoading ? "opacity-0" : "opacity-100",
+            imageContain ? "object-contain" : "object-cover",
+          )}
+          sizes="100%"
+        />
+      )}
+      {shouldShowSkeleton && (
+        <div className="rounded-inherit absolute inset-0 animate-pulse bg-gray-300 dark:bg-gray-700" />
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx b/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx
index df0a1ae169a7..442d65c1c712 100644
--- a/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx
@@ -34,10 +34,10 @@ export const SortDropdown: React.FC<{
   return (
     <DropdownMenu>
       <DropdownMenuTrigger className="flex items-center gap-1.5 focus:outline-none">
-        <span className="font-geist text-base text-neutral-800 dark:text-neutral-200">
+        <span className="text-base text-neutral-800 dark:text-neutral-200">
           Sort by
         </span>
-        <span className="font-geist text-base text-neutral-800 dark:text-neutral-200">
+        <span className="text-base text-neutral-800 dark:text-neutral-200">
           {selected.label}
         </span>
         <ChevronDownIcon className="h-4 w-4 text-neutral-800 dark:text-neutral-200" />
diff --git a/autogpt_platform/frontend/src/components/agptui/Status.stories.tsx b/autogpt_platform/frontend/src/components/agptui/Status.stories.tsx
deleted file mode 100644
index b4bb9e756fec..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/Status.stories.tsx
+++ /dev/null
@@ -1,55 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { Status, StatusType } from "./Status";
-
-const meta = {
-  title: "AGPT UI/Status",
-  component: Status,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    status: {
-      control: "select",
-      options: ["draft", "awaiting_review", "approved", "rejected"],
-    },
-  },
-} satisfies Meta<typeof Status>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Draft: Story = {
-  args: {
-    status: "draft" as StatusType,
-  },
-};
-
-export const AwaitingReview: Story = {
-  args: {
-    status: "awaiting_review" as StatusType,
-  },
-};
-
-export const Approved: Story = {
-  args: {
-    status: "approved" as StatusType,
-  },
-};
-
-export const Rejected: Story = {
-  args: {
-    status: "rejected" as StatusType,
-  },
-};
-
-export const AllStatuses: Story = {
-  render: () => (
-    <div className="flex flex-col gap-4">
-      <Status status="draft" />
-      <Status status="awaiting_review" />
-      <Status status="approved" />
-      <Status status="rejected" />
-    </div>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/Status.tsx b/autogpt_platform/frontend/src/components/agptui/Status.tsx
index 7e34a7c74841..6a7c5aba291a 100644
--- a/autogpt_platform/frontend/src/components/agptui/Status.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/Status.tsx
@@ -1,13 +1,12 @@
+import { SubmissionStatus } from "@/app/api/__generated__/models/submissionStatus";
 import * as React from "react";
 
-export type StatusType = "draft" | "awaiting_review" | "approved" | "rejected";
-
 interface StatusProps {
-  status: StatusType;
+  status: SubmissionStatus;
 }
 
 const statusConfig: Record<
-  StatusType,
+  SubmissionStatus,
   {
     bgColor: string;
     dotColor: string;
@@ -16,28 +15,28 @@ const statusConfig: Record<
     darkDotColor: string;
   }
 > = {
-  draft: {
+  [SubmissionStatus.DRAFT]: {
     bgColor: "bg-blue-50",
     dotColor: "bg-blue-500",
     text: "Draft",
     darkBgColor: "dark:bg-blue-900",
     darkDotColor: "dark:bg-blue-300",
   },
-  awaiting_review: {
+  [SubmissionStatus.PENDING]: {
     bgColor: "bg-amber-50",
     dotColor: "bg-amber-500",
     text: "Awaiting review",
     darkBgColor: "dark:bg-amber-900",
     darkDotColor: "dark:bg-amber-300",
   },
-  approved: {
+  [SubmissionStatus.APPROVED]: {
     bgColor: "bg-green-50",
     dotColor: "bg-green-500",
     text: "Approved",
     darkBgColor: "dark:bg-green-900",
     darkDotColor: "dark:bg-green-300",
   },
-  rejected: {
+  [SubmissionStatus.REJECTED]: {
     bgColor: "bg-red-50",
     dotColor: "bg-red-500",
     text: "Rejected",
@@ -53,9 +52,9 @@ export const Status: React.FC<StatusProps> = ({ status }) => {
    *                 Valid values: 'draft', 'awaiting_review', 'approved', 'rejected'
    */
   if (!status) {
-    return <Status status="awaiting_review" />;
+    return <Status status={SubmissionStatus.PENDING} />;
   } else if (!statusConfig[status]) {
-    return <Status status="awaiting_review" />;
+    return <Status status={SubmissionStatus.PENDING} />;
   }
 
   const config = statusConfig[status];
@@ -67,7 +66,7 @@ export const Status: React.FC<StatusProps> = ({ status }) => {
       <div
         className={`h-3 w-3 ${config.dotColor} ${config.darkDotColor} rounded-full`}
       />
-      <div className="font-['Geist'] text-sm font-normal leading-tight text-neutral-600 dark:text-neutral-300">
+      <div className="font-sans text-sm font-normal leading-tight text-neutral-600 dark:text-neutral-300">
         {config.text}
       </div>
     </div>
diff --git a/autogpt_platform/frontend/src/components/agptui/StoreCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/StoreCard.stories.tsx
deleted file mode 100644
index 48eb7fdfa959..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/StoreCard.stories.tsx
+++ /dev/null
@@ -1,115 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { StoreCard } from "./StoreCard";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/StoreCard",
-  component: StoreCard,
-  parameters: {
-    layout: {
-      center: true,
-      fullscreen: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    agentName: { control: "text" },
-    agentImage: { control: "text" },
-    description: { control: "text" },
-    runs: { control: "number" },
-    rating: { control: "number", min: 0, max: 5, step: 0.1 },
-    onClick: { action: "clicked" },
-    avatarSrc: { control: "text" },
-  },
-} satisfies Meta<typeof StoreCard>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    agentName: "SEO Optimizer",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    description: "Optimize your website's SEO with AI-powered suggestions",
-    runs: 10000,
-    rating: 4.5,
-    onClick: () => console.log("Default StoreCard clicked"),
-    avatarSrc: "https://github.com/shadcn.png",
-  },
-};
-
-export const LowRating: Story = {
-  args: {
-    agentName: "Data Analyzer",
-    agentImage:
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    description: "Analyze complex datasets with machine learning algorithms",
-    runs: 5000,
-    rating: 2.7,
-    onClick: () => console.log("LowRating StoreCard clicked"),
-    avatarSrc: "https://example.com/avatar2.jpg",
-  },
-};
-
-export const HighRuns: Story = {
-  args: {
-    agentName: "Code Assistant",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    description: "Get AI-powered coding help for various programming languages",
-    runs: 1000000,
-    rating: 4.8,
-    onClick: () => console.log("HighRuns StoreCard clicked"),
-    avatarSrc: "https://example.com/avatar3.jpg",
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    agentName: "Task Planner",
-    agentImage:
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    description: "Plan and organize your tasks efficiently with AI",
-    runs: 50000,
-    rating: 4.2,
-    onClick: () => console.log("WithInteraction StoreCard clicked"),
-    avatarSrc: "https://example.com/avatar4.jpg",
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const storeCard = canvas.getByText("Task Planner");
-
-    await userEvent.hover(storeCard);
-    await userEvent.click(storeCard);
-  },
-};
-
-export const LongDescription: Story = {
-  args: {
-    agentName: "AI Writing Assistant",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    description:
-      "Enhance your writing with our advanced AI-powered assistant. It offers real-time suggestions for grammar, style, and tone, helps with research and fact-checking.",
-    runs: 75000,
-    rating: 4.7,
-    onClick: () => console.log("LongDescription StoreCard clicked"),
-    avatarSrc: "https://example.com/avatar5.jpg",
-  },
-};
-
-export const HiddenAvatar: Story = {
-  args: {
-    agentName: "Data Visualizer",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    description: "Create stunning visualizations from complex datasets",
-    runs: 60000,
-    rating: 4.6,
-    onClick: () => console.log("HiddenAvatar StoreCard clicked"),
-    avatarSrc: "https://example.com/avatar6.jpg",
-    hideAvatar: true,
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx b/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx
index 33d744d3882e..bc024713f95a 100644
--- a/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx
@@ -32,7 +32,7 @@ export const StoreCard: React.FC<StoreCardProps> = ({
 
   return (
     <div
-      className="inline-flex w-full max-w-[434px] cursor-pointer flex-col items-start justify-start gap-2.5 rounded-[26px] bg-white transition-all duration-300 hover:shadow-lg dark:bg-gray-800 dark:hover:shadow-gray-700"
+      className="flex h-[27rem] w-full max-w-md cursor-pointer flex-col items-start rounded-3xl bg-background transition-all duration-300 hover:shadow-lg dark:hover:shadow-gray-700"
       onClick={handleClick}
       data-testid="store-card"
       role="button"
@@ -44,23 +44,27 @@ export const StoreCard: React.FC<StoreCardProps> = ({
         }
       }}
     >
-      {/* Header Image Section with Avatar */}
-      <div className="relative h-[200px] w-full overflow-hidden rounded-[20px]">
-        <Image
-          src={agentImage}
-          alt={`${agentName} preview image`}
-          fill
-          className="object-cover"
-          priority
-        />
+      {/* First Section: Image with Avatar */}
+      <div className="relative aspect-[2/1.2] w-full overflow-hidden rounded-3xl md:aspect-[2.17/1]">
+        {agentImage && (
+          <Image
+            src={agentImage}
+            alt={`${agentName} preview image`}
+            fill
+            className="object-cover"
+            priority
+          />
+        )}
         {!hideAvatar && (
           <div className="absolute bottom-4 left-4">
-            <Avatar className="h-16 w-16 border-2 border-white dark:border-gray-800">
-              <AvatarImage
-                src={avatarSrc}
-                alt={`${creatorName || agentName} creator avatar`}
-              />
-              <AvatarFallback>
+            <Avatar className="h-16 w-16">
+              {avatarSrc && (
+                <AvatarImage
+                  src={avatarSrc}
+                  alt={`${creatorName || agentName} creator avatar`}
+                />
+              )}
+              <AvatarFallback size={64}>
                 {(creatorName || agentName).charAt(0)}
               </AvatarFallback>
             </Avatar>
@@ -68,38 +72,46 @@ export const StoreCard: React.FC<StoreCardProps> = ({
         )}
       </div>
 
-      {/* Content Section */}
-      <div className="w-full px-2 py-4">
-        {/* Title and Creator */}
-        <h3 className="font-poppins mb-2 text-2xl font-semibold leading-tight text-[#272727] dark:text-neutral-100">
-          {agentName}
-        </h3>
-        {!hideAvatar && creatorName && (
-          <p className="font-lead mb-4 text-base font-normal text-neutral-600 dark:text-neutral-400">
-            by {creatorName}
+      <div className="mt-3 flex w-full flex-1 flex-col px-4">
+        {/* Second Section: Agent Name and Creator Name */}
+        <div className="flex w-full flex-col">
+          <h3 className="line-clamp-2 font-poppins text-2xl font-semibold text-[#272727] dark:text-neutral-100">
+            {agentName}
+          </h3>
+          {!hideAvatar && creatorName && (
+            <p className="mt-3 truncate font-sans text-xl font-normal text-neutral-600 dark:text-neutral-400">
+              by {creatorName}
+            </p>
+          )}
+        </div>
+
+        {/* Third Section: Description */}
+        <div className="mt-2.5 flex w-full flex-col">
+          <p className="line-clamp-3 text-base font-normal leading-normal text-neutral-600 dark:text-neutral-400">
+            {description}
           </p>
-        )}
+        </div>
 
-        {/* Description */}
-        <p className="font-geist mb-4 line-clamp-3 text-base font-normal leading-normal text-neutral-600 dark:text-neutral-400">
-          {description}
-        </p>
+        <div className="flex-grow" />
+        {/* Spacer to push stats to bottom */}
 
-        {/* Stats Row */}
-        <div className="flex items-center justify-between">
-          <div className="font-geist text-lg font-semibold text-neutral-800 dark:text-neutral-200">
-            {runs.toLocaleString()} runs
-          </div>
-          <div className="flex items-center gap-2">
-            <span className="font-geist text-lg font-semibold text-neutral-800 dark:text-neutral-200">
-              {rating.toFixed(1)}
-            </span>
-            <div
-              className="inline-flex items-center"
-              role="img"
-              aria-label={`Rating: ${rating.toFixed(1)} out of 5 stars`}
-            >
-              {StarRatingIcons(rating)}
+        {/* Fourth Section: Stats Row - aligned to bottom */}
+        <div className="mt-5 w-full">
+          <div className="flex items-center justify-between">
+            <div className="text-lg font-semibold text-neutral-800 dark:text-neutral-200">
+              {runs.toLocaleString()} runs
+            </div>
+            <div className="flex items-center gap-2">
+              <span className="text-lg font-semibold text-neutral-800 dark:text-neutral-200">
+                {rating.toFixed(1)}
+              </span>
+              <div
+                className="inline-flex items-center"
+                role="img"
+                aria-label={`Rating: ${rating.toFixed(1)} out of 5 stars`}
+              >
+                {StarRatingIcons(rating)}
+              </div>
             </div>
           </div>
         </div>
diff --git a/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx b/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx
index 515a98cda1e3..2b9d75c6e498 100644
--- a/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx
@@ -3,7 +3,6 @@
 import * as React from "react";
 import { useTheme } from "next-themes";
 import { IconMoon, IconSun } from "@/components/ui/icons";
-import { Button } from "./Button";
 
 export function ThemeToggle() {
   const { theme, setTheme } = useTheme();
diff --git a/autogpt_platform/frontend/src/components/agptui/Wallet.tsx b/autogpt_platform/frontend/src/components/agptui/Wallet.tsx
new file mode 100644
index 000000000000..36448bcc36f9
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/Wallet.tsx
@@ -0,0 +1,173 @@
+"use client";
+
+import useCredits from "@/hooks/useCredits";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { X } from "lucide-react";
+import { PopoverClose } from "@radix-ui/react-popover";
+import { TaskGroups } from "../onboarding/WalletTaskGroups";
+import { ScrollArea } from "../ui/scroll-area";
+import { useOnboarding } from "../onboarding/onboarding-provider";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { cn } from "@/lib/utils";
+import * as party from "party-js";
+import WalletRefill from "./WalletRefill";
+
+export default function Wallet() {
+  const { credits, formatCredits, fetchCredits } = useCredits({
+    fetchInitialCredits: true,
+  });
+
+  const { state, updateState } = useOnboarding();
+  const [prevCredits, setPrevCredits] = useState<number | null>(credits);
+  const [flash, setFlash] = useState(false);
+
+  const [stepsLength, setStepsLength] = useState<number | null>(
+    state?.completedSteps?.length || null,
+  );
+
+  const walletRef = useRef<HTMLButtonElement | null>(null);
+
+  const onWalletOpen = useCallback(async () => {
+    if (state?.notificationDot) {
+      updateState({ notificationDot: false });
+    }
+    // Refresh credits when the wallet is opened
+    fetchCredits();
+  }, [state?.notificationDot, updateState, fetchCredits]);
+
+  const fadeOut = useMemo(
+    () =>
+      new party.ModuleBuilder()
+        .drive("opacity")
+        .by((t) => 1 - t)
+        .through("lifetime")
+        .build(),
+    [],
+  );
+
+  // Confetti effect on the wallet button
+  useEffect(() => {
+    if (!state?.completedSteps) {
+      return;
+    }
+    // If we haven't set the length yet, just set it and return
+    if (stepsLength === null) {
+      setStepsLength(state?.completedSteps?.length);
+      return;
+    }
+    // It's enough to compare array lengths,
+    // because the order of completed steps is not important
+    // If the length is the same, we don't need to do anything
+    if (state?.completedSteps?.length === stepsLength) {
+      return;
+    }
+    // Otherwise, we need to set the new length
+    setStepsLength(state?.completedSteps?.length);
+    // And make confetti
+    if (walletRef.current) {
+      setTimeout(() => {
+        fetchCredits();
+        party.confetti(walletRef.current!, {
+          count: 30,
+          spread: 120,
+          shapes: ["square", "circle"],
+          size: party.variation.range(1, 2),
+          speed: party.variation.range(200, 300),
+          modules: [fadeOut],
+        });
+      }, 800);
+    }
+  }, [
+    state?.completedSteps,
+    state?.notified,
+    fadeOut,
+    fetchCredits,
+    stepsLength,
+    walletRef,
+  ]);
+
+  // Wallet flash on credits change
+  useEffect(() => {
+    if (credits === prevCredits) {
+      return;
+    }
+    setPrevCredits(credits);
+    if (prevCredits === null) {
+      return;
+    }
+    setFlash(true);
+    setTimeout(() => {
+      setFlash(false);
+    }, 300);
+  }, [credits, prevCredits]);
+
+  return (
+    <Popover>
+      <PopoverTrigger asChild>
+        <div className="relative inline-block">
+          <button
+            ref={walletRef}
+            className={cn(
+              "relative flex items-center gap-1 rounded-md bg-zinc-50 px-3 py-2 text-sm",
+            )}
+            onClick={onWalletOpen}
+          >
+            Wallet{" "}
+            <span className="text-sm font-semibold">
+              {formatCredits(credits)}
+            </span>
+            {state?.notificationDot && (
+              <span className="absolute right-1 top-1 h-2 w-2 rounded-full bg-violet-600"></span>
+            )}
+          </button>
+          <div
+            className={cn(
+              "pointer-events-none absolute inset-0 rounded-md bg-violet-400 duration-2000 ease-in-out",
+              flash ? "opacity-50 duration-0" : "opacity-0",
+            )}
+          />
+        </div>
+      </PopoverTrigger>
+      <PopoverContent
+        className={cn(
+          "absolute -right-[7.9rem] -top-[3.2rem] z-50 w-[28.5rem] px-[0.625rem] py-2",
+          "rounded-xl border-zinc-200 bg-zinc-50 shadow-[0_3px_3px] shadow-zinc-300",
+        )}
+      >
+        {/* Header */}
+        <div className="mx-1 flex items-center justify-between border-b border-zinc-300 pb-2">
+          <span className="font-poppins font-medium text-zinc-900">
+            Your wallet
+          </span>
+          <div className="flex items-center text-sm font-semibold text-violet-700">
+            <div className="rounded-lg bg-violet-100 px-3 py-2">
+              Wallet{" "}
+              <span className="font-semibold">{formatCredits(credits)}</span>
+            </div>
+            <PopoverClose>
+              <X className="ml-[2.8rem] h-5 w-5 text-zinc-800 hover:text-foreground" />
+            </PopoverClose>
+          </div>
+        </div>
+        <ScrollArea className="max-h-[85vh] overflow-y-auto">
+          {/* Top ups */}
+          {process.env.NEXT_PUBLIC_SHOW_BILLING_PAGE === "true" && (
+            <WalletRefill />
+          )}
+          {/* Tasks */}
+          <p className="mx-1 mt-4 font-sans text-xs font-medium text-violet-700">
+            Onboarding tasks
+          </p>
+          <p className="mx-1 my-1 font-sans text-xs font-normal text-zinc-500">
+            Complete the following tasks to earn more credits!
+          </p>
+          <TaskGroups />
+        </ScrollArea>
+      </PopoverContent>
+    </Popover>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/WalletRefill.tsx b/autogpt_platform/frontend/src/components/agptui/WalletRefill.tsx
new file mode 100644
index 000000000000..53aabaafc425
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/WalletRefill.tsx
@@ -0,0 +1,267 @@
+import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
+import { cn } from "@/lib/utils";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "../ui/input";
+import Link from "next/link";
+import { useToast, useToastOnFail } from "../molecules/Toast/use-toast";
+import useCredits from "@/hooks/useCredits";
+import { useCallback, useEffect, useState } from "react";
+
+const topUpSchema = z.object({
+  amount: z
+    .number({ coerce: true, invalid_type_error: "Enter top-up amount" })
+    .min(5, "Top-ups start at $5. Please enter a higher amount."),
+});
+
+const autoRefillSchema = z
+  .object({
+    threshold: z
+      .number({ coerce: true, invalid_type_error: "Enter min. balance" })
+      .min(
+        5,
+        "Looks like your balance is too low for auto-refill. Try $5 or more.",
+      ),
+    refillAmount: z
+      .number({ coerce: true, invalid_type_error: "Enter top-up amount" })
+      .min(5, "Top-ups start at $5. Please enter a higher amount."),
+  })
+  .refine((data) => data.refillAmount >= data.threshold, {
+    message:
+      "Your refill amount must be equal to or greater than the balance you entered above.",
+    path: ["refillAmount"],
+  });
+
+export default function WalletRefill() {
+  const { toast } = useToast();
+  const toastOnFail = useToastOnFail();
+  const { requestTopUp, autoTopUpConfig, updateAutoTopUpConfig } = useCredits({
+    fetchInitialAutoTopUpConfig: true,
+  });
+  const [isLoading, setIsLoading] = useState(false);
+
+  const topUpForm = useForm<z.infer<typeof topUpSchema>>({
+    resolver: zodResolver(topUpSchema),
+  });
+  const autoRefillForm = useForm<z.infer<typeof autoRefillSchema>>({
+    resolver: zodResolver(autoRefillSchema),
+  });
+
+  console.log("autoRefillForm");
+
+  // Pre-fill the auto-refill form with existing values
+  useEffect(() => {
+    if (
+      autoTopUpConfig &&
+      autoTopUpConfig.amount > 0 &&
+      autoTopUpConfig.threshold > 0 &&
+      !autoRefillForm.getFieldState("threshold").isTouched &&
+      !autoRefillForm.getFieldState("refillAmount").isTouched
+    ) {
+      autoRefillForm.setValue("threshold", autoTopUpConfig.threshold / 100);
+      autoRefillForm.setValue("refillAmount", autoTopUpConfig.amount / 100);
+    }
+  }, [autoTopUpConfig, autoRefillForm]);
+
+  const submitTopUp = useCallback(
+    async (data: z.infer<typeof topUpSchema>) => {
+      setIsLoading(true);
+      await requestTopUp(data.amount * 100).catch(
+        toastOnFail("request top-up"),
+      );
+      setIsLoading(false);
+    },
+    [requestTopUp, toastOnFail],
+  );
+
+  const submitAutoTopUpConfig = useCallback(
+    async (data: z.infer<typeof autoRefillSchema>) => {
+      setIsLoading(true);
+      await updateAutoTopUpConfig(data.refillAmount * 100, data.threshold * 100)
+        .then(() => {
+          toast({
+            title: "Auto top-up config updated! 🎉",
+            variant: "success",
+          });
+        })
+        .catch(toastOnFail("update auto top-up config"));
+      setIsLoading(false);
+    },
+    [updateAutoTopUpConfig, toast, toastOnFail],
+  );
+
+  return (
+    <div className="mx-1 border-b border-zinc-300">
+      <p className="mx-0 mt-4 font-sans text-xs font-medium text-violet-700">
+        Add credits to your balance
+      </p>
+      <p className="mx-0 my-1 font-sans text-xs font-normal text-zinc-500">
+        Choose a one-time top-up or set up automatic refills
+      </p>
+      <Tabs
+        defaultValue="top-up"
+        className="mb-6 mt-4 flex w-full flex-col items-center"
+      >
+        <TabsList className="mx-auto">
+          <TabsTrigger value="top-up">One-time top up</TabsTrigger>
+          <TabsTrigger value="auto-refill">Auto-refill</TabsTrigger>
+        </TabsList>
+        <div className="mt-4 w-full rounded-lg px-5 outline outline-1 outline-offset-2 outline-zinc-200">
+          <TabsContent value="top-up" className="flex flex-col">
+            <div className="mt-2 justify-start font-sans text-sm font-medium leading-snug text-zinc-900">
+              One-time top-up
+            </div>
+            <div className="mt-1 justify-start font-sans text-xs font-normal leading-tight text-zinc-500">
+              Enter an amount (min. $5) and add credits instantly.
+            </div>
+            <Form {...topUpForm}>
+              <form onSubmit={topUpForm.handleSubmit(submitTopUp)}>
+                <FormField
+                  control={topUpForm.control}
+                  name="amount"
+                  render={({ field }) => (
+                    <FormItem className="mb-6 mt-4">
+                      <FormLabel className="font-sans text-sm font-medium leading-snug text-zinc-800">
+                        Amount
+                      </FormLabel>
+                      <FormControl>
+                        <>
+                          <Input
+                            className={cn(
+                              "mt-2 rounded-3xl border-0 bg-white py-2 pl-6 pr-4 font-sans outline outline-1 outline-zinc-300",
+                              "focus:outline-2 focus:outline-offset-0 focus:outline-violet-700",
+                            )}
+                            type="number"
+                            step="1"
+                            {...field}
+                          />
+                          <span className="absolute left-10 -translate-y-9 text-sm text-zinc-500">
+                            $
+                          </span>
+                        </>
+                      </FormControl>
+                      <FormMessage className="mt-2 font-sans text-xs font-normal leading-tight" />
+                    </FormItem>
+                  )}
+                />
+                <button
+                  className={cn(
+                    "mb-2 inline-flex h-10 w-24 items-center justify-center rounded-3xl bg-zinc-800 px-4 py-2",
+                    "font-sans text-sm font-medium leading-snug text-white",
+                    "transition-colors duration-200 hover:bg-zinc-700 disabled:bg-zinc-500",
+                  )}
+                  type="submit"
+                  disabled={isLoading}
+                >
+                  Top up
+                </button>
+              </form>
+            </Form>
+          </TabsContent>
+          <TabsContent value="auto-refill" className="flex flex-col">
+            <div className="justify-start font-sans text-sm font-medium leading-snug text-zinc-900">
+              Auto-refill
+            </div>
+            <div className="mt-1 justify-start font-sans text-xs font-normal leading-tight text-zinc-500">
+              Choose a one-time top-up or set up automatic refills.
+            </div>
+
+            <Form {...autoRefillForm}>
+              <form
+                onSubmit={autoRefillForm.handleSubmit(submitAutoTopUpConfig)}
+              >
+                <FormField
+                  control={autoRefillForm.control}
+                  name="threshold"
+                  render={({ field }) => (
+                    <FormItem className="mb-6 mt-4">
+                      <FormLabel className="font-sans text-sm font-medium leading-snug text-zinc-800">
+                        Refill when balance drops below:
+                      </FormLabel>
+                      <FormControl>
+                        <>
+                          <Input
+                            className={cn(
+                              "mt-2 rounded-3xl border-0 bg-white py-2 pl-6 pr-4 font-sans outline outline-1 outline-zinc-300",
+                              "focus:outline-2 focus:outline-offset-0 focus:outline-violet-700",
+                            )}
+                            type="number"
+                            step="1"
+                            {...field}
+                          />
+                          <span className="absolute left-10 -translate-y-9 text-sm text-zinc-500">
+                            $
+                          </span>
+                        </>
+                      </FormControl>
+                      <FormMessage className="mt-2 font-sans text-xs font-normal leading-tight" />
+                    </FormItem>
+                  )}
+                />
+                <FormField
+                  control={autoRefillForm.control}
+                  name="refillAmount"
+                  render={({ field }) => (
+                    <FormItem className="mb-6">
+                      <FormLabel className="font-sans text-sm font-medium leading-snug text-zinc-800">
+                        Add this amount:
+                      </FormLabel>
+                      <FormControl>
+                        <>
+                          <Input
+                            className={cn(
+                              "mt-2 rounded-3xl border-0 bg-white py-2 pl-6 pr-4 font-sans outline outline-1 outline-zinc-300",
+                              "focus:outline-2 focus:outline-offset-0 focus:outline-violet-700",
+                            )}
+                            type="number"
+                            step="1"
+                            {...field}
+                          />
+                          <span className="absolute left-10 -translate-y-9 text-sm text-zinc-500">
+                            $
+                          </span>
+                        </>
+                      </FormControl>
+                      <FormMessage className="mt-2 font-sans text-xs font-normal leading-tight" />
+                    </FormItem>
+                  )}
+                />
+                <button
+                  className={cn(
+                    "mb-4 inline-flex h-10 w-40 items-center justify-center rounded-3xl bg-zinc-800 px-4 py-2",
+                    "font-sans text-sm font-medium leading-snug text-white",
+                    "transition-colors duration-200 hover:bg-zinc-700 disabled:bg-zinc-500",
+                  )}
+                  type="submit"
+                  disabled={isLoading}
+                >
+                  Enable Auto-refill
+                </button>
+              </form>
+            </Form>
+          </TabsContent>
+          <div className="mb-3 justify-start font-sans text-xs font-normal leading-tight">
+            <span className="text-zinc-500">
+              To update your billing details, head to{" "}
+            </span>
+            <Link
+              href="/profile/credits"
+              className="cursor-pointer text-zinc-800 underline"
+            >
+              Billing settings
+            </Link>
+          </div>
+        </div>
+      </Tabs>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/action-button-group.tsx b/autogpt_platform/frontend/src/components/agptui/action-button-group.tsx
new file mode 100644
index 000000000000..b943f445f1de
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/action-button-group.tsx
@@ -0,0 +1,48 @@
+import React from "react";
+import { cn } from "@/lib/utils";
+
+import type { ButtonAction } from "@/components/agptui/types";
+import { Button, buttonVariants } from "@/components/agptui/Button";
+import Link from "next/link";
+
+export default function ActionButtonGroup({
+  title,
+  actions,
+  className,
+}: {
+  title: React.ReactNode;
+  actions: ButtonAction[];
+  className?: string;
+}): React.ReactElement {
+  return (
+    <div className={cn("flex flex-col gap-3", className)}>
+      <h3 className="text-sm font-medium">{title}</h3>
+      {actions.map((action, i) =>
+        "callback" in action ? (
+          <Button
+            key={i}
+            variant={action.variant ?? "outline"}
+            disabled={action.disabled}
+            onClick={action.callback}
+            {...action.extraProps}
+          >
+            {action.label}
+          </Button>
+        ) : (
+          <Link
+            key={i}
+            className={cn(
+              buttonVariants({ variant: action.variant }),
+              action.disabled &&
+                "pointer-events-none border-zinc-400 text-zinc-400",
+            )}
+            href={action.href}
+            {...action.extraProps}
+          >
+            {action.label}
+          </Link>
+        ),
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.stories.tsx
deleted file mode 100644
index f193f7bc721e..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.stories.tsx
+++ /dev/null
@@ -1,172 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { AgentsSection } from "./AgentsSection";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Composite/Agents Section",
-  component: AgentsSection,
-  parameters: {
-    layout: {
-      center: true,
-      fullscreen: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    sectionTitle: { control: "text" },
-    agents: { control: "object" },
-    onCardClick: { action: "clicked" },
-  },
-} satisfies Meta<typeof AgentsSection>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const mockTopAgents = [
-  {
-    agentName: "SEO Optimizer Pro",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    description:
-      "Boost your website's search engine rankings with our advanced AI-powered SEO optimization tool.",
-    runs: 50000,
-    rating: 4.7,
-    avatarSrc: "https://example.com/avatar1.jpg",
-  },
-  {
-    agentName: "Content Writer AI",
-    agentImage:
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    description:
-      "Generate high-quality, engaging content for your blog, social media, or marketing campaigns.",
-    runs: 75000,
-    rating: 4.5,
-    avatarSrc: "https://example.com/avatar2.jpg",
-  },
-  {
-    agentName: "Data Analyzer Lite",
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    description: "A basic tool for analyzing small to medium-sized datasets.",
-    runs: 10000,
-    rating: 3.8,
-    avatarSrc: "https://example.com/avatar3.jpg",
-  },
-];
-
-export const Default: Story = {
-  args: {
-    sectionTitle: "Top Agents",
-    agents: mockTopAgents,
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const SingleAgent: Story = {
-  args: {
-    sectionTitle: "Top Agents",
-    agents: [mockTopAgents[0]],
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const NoAgents: Story = {
-  args: {
-    sectionTitle: "Top Agents",
-    agents: [],
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    sectionTitle: "Top Agents",
-    agents: mockTopAgents,
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const firstCard = canvas.getAllByRole("store-card")[0];
-    await userEvent.click(firstCard);
-    await expect(firstCard).toHaveAttribute("aria-pressed", "true");
-  },
-};
-
-export const MultiRowAgents: Story = {
-  args: {
-    sectionTitle: "Top Agents",
-    agents: [
-      ...mockTopAgents,
-      {
-        agent_name: "Image Recognition AI",
-        agent_image:
-          "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-        description:
-          "Accurately identify and classify objects in images using state-of-the-art machine learning algorithms.",
-        runs: 60000,
-        rating: 4.6,
-        creator_avatar: "https://example.com/avatar4.jpg",
-      },
-      {
-        agent_name: "Natural Language Processor",
-        agent_image:
-          "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-        description:
-          "Analyze and understand human language with advanced NLP techniques.",
-        runs: 80000,
-        rating: 4.8,
-        creator_avatar: "https://example.com/avatar5.jpg",
-      },
-      {
-        agent_name: "Sentiment Analyzer",
-        agent_image:
-          "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-        description:
-          "Determine the emotional tone of text data for customer feedback analysis.",
-        runs: 45000,
-        rating: 4.3,
-        creator_avatar: "https://example.com/avatar6.jpg",
-      },
-      {
-        agent_name: "Chatbot Builder",
-        agent_image:
-          "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-        description:
-          "Create intelligent chatbots for customer service and engagement.",
-        runs: 55000,
-        rating: 4.4,
-        creator_avatar: "https://example.com/avatar7.jpg",
-      },
-      {
-        agent_name: "Predictive Analytics Tool",
-        agent_image:
-          "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-        description:
-          "Forecast future trends and outcomes based on historical data.",
-        runs: 40000,
-        rating: 4.2,
-        creator_avatar: "https://example.com/avatar8.jpg",
-      },
-      {
-        agent_name: "Text-to-Speech Converter",
-        agent_image:
-          "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-        description:
-          "Convert written text into natural-sounding speech in multiple languages.",
-        runs: 35000,
-        rating: 4.1,
-        creator_avatar: "https://example.com/avatar9.jpg",
-      },
-    ],
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const HiddenAvatars: Story = {
-  args: {
-    ...Default.args,
-    hideAvatars: true,
-    sectionTitle: "Agents with Hidden Avatars",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx
index c0ffa8342eb7..6a00baf90a64 100644
--- a/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx
@@ -25,28 +25,35 @@ interface AgentsSectionProps {
   sectionTitle: string;
   agents: Agent[];
   hideAvatars?: boolean;
+  margin?: string;
 }
 
 export const AgentsSection: React.FC<AgentsSectionProps> = ({
   sectionTitle,
   agents: allAgents,
   hideAvatars = false,
+  margin = "24px",
 }) => {
   const router = useRouter();
 
-  // Take only the first 9 agents
-  const displayedAgents = allAgents.slice(0, 9);
+  // TODO: Update this when we have pagination
+  const displayedAgents = allAgents;
 
   const handleCardClick = (creator: string, slug: string) => {
-    router.push(`/store/agent/${creator}/${slug}`);
+    router.push(
+      `/marketplace/agent/${encodeURIComponent(creator)}/${encodeURIComponent(slug)}`,
+    );
   };
 
   return (
-    <div className="flex flex-col items-center justify-center py-4 lg:py-8">
+    <div className="flex flex-col items-center justify-center">
       <div className="w-full max-w-[1360px]">
-        <div className="mb-6 font-neue text-[23px] font-bold leading-9 tracking-tight text-[#282828] dark:text-neutral-200">
+        <h2
+          style={{ marginBottom: margin }}
+          className="font-poppins text-lg font-semibold text-[#282828] dark:text-neutral-200"
+        >
           {sectionTitle}
-        </div>
+        </h2>
         {!displayedAgents || displayedAgents.length === 0 ? (
           <div className="text-center text-gray-500 dark:text-gray-400">
             No agents found
@@ -62,7 +69,7 @@ export const AgentsSection: React.FC<AgentsSectionProps> = ({
             >
               <CarouselContent>
                 {displayedAgents.map((agent, index) => (
-                  <CarouselItem key={index} className="min-w-64 max-w-68">
+                  <CarouselItem key={index} className="min-w-64 max-w-71">
                     <StoreCard
                       agentName={agent.agent_name}
                       agentImage={agent.agent_image}
@@ -79,7 +86,7 @@ export const AgentsSection: React.FC<AgentsSectionProps> = ({
               </CarouselContent>
             </Carousel>
 
-            <div className="hidden grid-cols-1 place-items-center gap-6 md:grid md:grid-cols-2 lg:grid-cols-4">
+            <div className="hidden grid-cols-1 place-items-center gap-6 md:grid md:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4">
               {displayedAgents.map((agent, index) => (
                 <StoreCard
                   key={index}
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.stories.tsx
deleted file mode 100644
index 19300e0e3901..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.stories.tsx
+++ /dev/null
@@ -1,121 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { FeaturedCreators } from "./FeaturedCreators";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Composite/Featured Creators",
-  component: FeaturedCreators,
-  parameters: {
-    layout: {
-      center: true,
-      fullscreen: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    featuredCreators: { control: "object" },
-    onCardClick: { action: "cardClicked" },
-  },
-} satisfies Meta<typeof FeaturedCreators>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const defaultCreators = [
-  {
-    name: "AI Innovator",
-    username: "ai_innovator",
-    description:
-      "Pushing the boundaries of AI technology with cutting-edge solutions and innovative approaches to machine learning.",
-    avatar_url:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    num_agents: 15,
-  },
-  {
-    name: "Code Wizard",
-    username: "code_wizard",
-    description:
-      "Crafting elegant solutions with AI and helping others learn the magic of coding.",
-    avatar_url:
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    num_agents: 8,
-  },
-  {
-    name: "Data Alchemist",
-    username: "data_alchemist",
-    description:
-      "Transforming raw data into AI gold. Specializing in data processing and analytics.",
-    avatar_url:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    num_agents: 12,
-  },
-  {
-    name: "ML Master",
-    username: "ml_master",
-    description:
-      "Specializing in machine learning algorithms and neural network architectures.",
-    avatar_url:
-      "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-    num_agents: 20,
-  },
-];
-
-export const Default: Story = {
-  args: {
-    featuredCreators: defaultCreators,
-    onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`),
-  },
-};
-
-export const SingleCreator: Story = {
-  args: {
-    featuredCreators: [defaultCreators[0]],
-    onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`),
-  },
-};
-
-export const ManyCreators: Story = {
-  args: {
-    featuredCreators: [
-      ...defaultCreators,
-      {
-        name: "NLP Ninja",
-        username: "nlp_ninja",
-        description:
-          "Expert in natural language processing and text analysis systems.",
-        avatar_url:
-          "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-        num_agents: 18,
-      },
-      {
-        name: "AI Explorer",
-        username: "ai_explorer",
-        description:
-          "Discovering new frontiers in artificial intelligence and autonomous systems.",
-        avatar_url:
-          "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg",
-        num_agents: 25,
-      },
-    ],
-    onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`),
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    featuredCreators: defaultCreators,
-    onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const creatorCards = canvas.getAllByRole("creator-card");
-    const firstCreatorCard = creatorCards[0];
-
-    await userEvent.hover(firstCreatorCard);
-    await userEvent.click(firstCreatorCard);
-
-    // Check if the card has the expected hover and click effects
-    await expect(firstCreatorCard).toHaveClass("hover:shadow-lg");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx
index ec0c1457cd3b..9accb662d6b3 100644
--- a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx
@@ -24,16 +24,16 @@ export const FeaturedCreators: React.FC<FeaturedCreatorsProps> = ({
   const router = useRouter();
 
   const handleCardClick = (creator: string) => {
-    router.push(`/store/creator/${creator}`);
+    router.push(`/marketplace/creator/${encodeURIComponent(creator)}`);
   };
 
   // Only show first 4 creators
   const displayedCreators = featuredCreators.slice(0, 4);
 
   return (
-    <div className="flex w-full flex-col items-center justify-center py-16">
+    <div className="flex w-full flex-col items-center justify-center">
       <div className="w-full max-w-[1360px]">
-        <h2 className="font-poppins mb-8 text-2xl font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+        <h2 className="mb-9 font-poppins text-lg font-semibold text-neutral-800 dark:text-neutral-200">
           {title}
         </h2>
 
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.stories.tsx
deleted file mode 100644
index 664bbee8c42f..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.stories.tsx
+++ /dev/null
@@ -1,128 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { FeaturedSection } from "./FeaturedSection";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Composite/Featured Agents",
-  component: FeaturedSection,
-  parameters: {
-    layout: {
-      center: true,
-      fullscreen: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    featuredAgents: { control: "object" },
-    onCardClick: { action: "clicked" },
-  },
-} satisfies Meta<typeof FeaturedSection>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const mockFeaturedAgents = [
-  {
-    agentName: "Personalized Morning Coffee Newsletter example of three lines",
-    subHeading:
-      "Transform ideas into breathtaking images with this AI-powered Image Generator.",
-    creatorName: "AI Solutions Inc.",
-    description:
-      "Elevate your web content with this powerful AI Webpage Copy Improver. Designed for marketers, SEO specialists, and web developers, this tool analyses and enhances website copy for maximum impact. Using advanced language models, it optimizes text for better clarity, SEO performance, and increased conversion rates.",
-    runs: 50000,
-    rating: 4.7,
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-  },
-  {
-    agentName: "Data Analyzer Lite",
-    subHeading: "Basic data analysis tool",
-    creatorName: "DataTech",
-    description:
-      "A lightweight data analysis tool for basic data processing needs.",
-    runs: 10000,
-    rating: 2.8,
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-  },
-  {
-    agentName: "CodeAssist AI",
-    subHeading: "Your AI coding companion",
-    creatorName: "DevTools Co.",
-    description:
-      "An intelligent coding assistant that helps developers write better code faster.",
-    runs: 1000000,
-    rating: 4.9,
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-  },
-  {
-    agentName: "MultiTasker",
-    subHeading: "All-in-one productivity suite",
-    creatorName: "Productivity Plus",
-    description:
-      "A comprehensive productivity suite that combines task management, note-taking, and project planning into one seamless interface. Features include smart task prioritization, automated scheduling, and AI-powered insights to help you work more efficiently.",
-    runs: 75000,
-    rating: 4.5,
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-  },
-  {
-    agentName: "QuickTask",
-    subHeading: "Fast task automation",
-    creatorName: "EfficientWorks",
-    description: "Simple and efficient task automation tool.",
-    runs: 50000,
-    rating: 4.2,
-    agentImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-    creatorImage:
-      "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg",
-  },
-];
-
-export const Default: Story = {
-  args: {
-    featuredAgents: mockFeaturedAgents,
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const SingleAgent: Story = {
-  args: {
-    featuredAgents: [mockFeaturedAgents[0]],
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const NoAgents: Story = {
-  args: {
-    featuredAgents: [],
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    featuredAgents: mockFeaturedAgents,
-    onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const featuredCard = canvas.getByText(
-      "Personalized Morning Coffee Newsletter example of three lines",
-    );
-
-    await userEvent.hover(featuredCard);
-    await userEvent.click(featuredCard);
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx
index 2e188fcb381e..43bfb8ca079a 100644
--- a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx
@@ -1,15 +1,18 @@
 "use client";
 
 import * as React from "react";
-import { FeaturedStoreCard } from "@/components/agptui/FeaturedStoreCard";
+import { FeaturedAgentCard } from "@/components/agptui/FeaturedAgentCard";
 import {
   Carousel,
   CarouselContent,
   CarouselItem,
+  CarouselPrevious,
+  CarouselNext,
+  CarouselIndicator,
 } from "@/components/ui/carousel";
 import { useCallback, useState } from "react";
-import { IconLeftArrow, IconRightArrow } from "@/components/ui/icons";
-import { useRouter } from "next/navigation";
+import { StoreAgent } from "@/lib/autogpt-server-api";
+import Link from "next/link";
 
 const BACKGROUND_COLORS = [
   "bg-violet-200 dark:bg-violet-800", // #ddd6fe / #5b21b6
@@ -17,31 +20,14 @@ const BACKGROUND_COLORS = [
   "bg-green-200 dark:bg-green-800", // #bbf7d0 / #065f46
 ];
 
-export interface FeaturedAgent {
-  slug: string;
-  agent_name: string;
-  agent_image: string;
-  creator: string;
-  creator_avatar: string;
-  sub_heading: string;
-  description: string;
-  runs: number;
-  rating: number;
-}
-
 interface FeaturedSectionProps {
-  featuredAgents: FeaturedAgent[];
+  featuredAgents: StoreAgent[];
 }
 
 export const FeaturedSection: React.FC<FeaturedSectionProps> = ({
   featuredAgents,
 }) => {
-  const [currentSlide, setCurrentSlide] = useState(0);
-  const router = useRouter();
-
-  const handleCardClick = (creator: string, slug: string) => {
-    router.push(`/store/agent/${creator}/${slug}`);
-  };
+  const [_, setCurrentSlide] = useState(0);
 
   const handlePrevSlide = useCallback(() => {
     setCurrentSlide((prev) =>
@@ -60,75 +46,41 @@ export const FeaturedSection: React.FC<FeaturedSectionProps> = ({
   };
 
   return (
-    <div className="flex w-full flex-col items-center justify-center">
-      <div className="w-full">
-        <h2 className="font-poppins mb-8 text-2xl font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
-          Featured agents
-        </h2>
+    <section className="w-full">
+      <h2 className="mb-8 font-poppins text-2xl font-semibold leading-7 text-neutral-800 dark:text-neutral-200">
+        Featured agents
+      </h2>
 
-        <div>
-          <Carousel
-            opts={{
-              loop: true,
-              startIndex: currentSlide,
-              duration: 500,
-              align: "start",
-              containScroll: "trimSnaps",
-            }}
-            className="w-full overflow-x-hidden"
-          >
-            <CarouselContent className="transition-transform duration-500">
-              {featuredAgents.map((agent, index) => (
-                <CarouselItem
-                  key={index}
-                  className="max-w-[460px] flex-[0_0_auto] pr-8"
-                >
-                  <FeaturedStoreCard
-                    agentName={agent.agent_name}
-                    subHeading={agent.sub_heading}
-                    agentImage={agent.agent_image}
-                    creatorName={agent.creator}
-                    description={agent.description}
-                    runs={agent.runs}
-                    rating={agent.rating}
-                    backgroundColor={getBackgroundColor(index)}
-                    onClick={() => handleCardClick(agent.creator, agent.slug)}
-                  />
-                </CarouselItem>
-              ))}
-            </CarouselContent>
-          </Carousel>
-        </div>
-
-        <div className="mt-8 flex w-full items-center justify-between">
-          <div className="flex h-3 items-center gap-2">
-            {featuredAgents.map((_, index) => (
-              <div
-                key={index}
-                className={`${
-                  currentSlide === index
-                    ? "h-3 w-[52px] rounded-[39px] bg-neutral-800 transition-all duration-500 dark:bg-neutral-200"
-                    : "h-3 w-3 rounded-full bg-neutral-300 transition-all duration-500 dark:bg-neutral-600"
-                }`}
-              />
-            ))}
-          </div>
-          <div className="flex items-center gap-3">
-            <button
-              onClick={handlePrevSlide}
-              className="mb:h-12 mb:w-12 flex h-10 w-10 items-center justify-center rounded-full border border-neutral-400 bg-white dark:border-neutral-600 dark:bg-neutral-800"
-            >
-              <IconLeftArrow className="h-8 w-8 text-neutral-800 dark:text-neutral-200" />
-            </button>
-            <button
-              onClick={handleNextSlide}
-              className="mb:h-12 mb:w-12 flex h-10 w-10 items-center justify-center rounded-full border border-neutral-900 bg-white dark:border-neutral-600 dark:bg-neutral-800"
+      <Carousel
+        opts={{
+          align: "center",
+          containScroll: "trimSnaps",
+        }}
+      >
+        <CarouselContent>
+          {featuredAgents.map((agent, index) => (
+            <CarouselItem
+              key={index}
+              className="h-[480px] md:basis-1/2 lg:basis-1/3"
             >
-              <IconRightArrow className="h-8 w-8 text-neutral-800 dark:text-neutral-200" />
-            </button>
-          </div>
+              <Link
+                href={`/marketplace/agent/${encodeURIComponent(agent.creator)}/${encodeURIComponent(agent.slug)}`}
+                className="block h-full"
+              >
+                <FeaturedAgentCard
+                  agent={agent}
+                  backgroundColor={getBackgroundColor(index)}
+                />
+              </Link>
+            </CarouselItem>
+          ))}
+        </CarouselContent>
+        <div className="relative mt-4">
+          <CarouselIndicator />
+          <CarouselPrevious afterClick={handlePrevSlide} />
+          <CarouselNext afterClick={handleNextSlide} />
         </div>
-      </div>
-    </div>
+      </Carousel>
+    </section>
   );
 };
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.stories.tsx
deleted file mode 100644
index 11b101bd6bd2..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.stories.tsx
+++ /dev/null
@@ -1,70 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { HeroSection } from "./HeroSection";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Composite/Hero Section",
-  component: HeroSection,
-  parameters: {
-    layout: {
-      center: true,
-      fullscreen: true,
-      padding: 0,
-    },
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    onSearch: { action: "searched" },
-    onFilterChange: { action: "filtersChanged" },
-  },
-} satisfies Meta<typeof HeroSection>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    onSearch: (query: string) => console.log(`Searched: ${query}`),
-    onFilterChange: (selectedFilters: string[]) =>
-      console.log(`Filters changed: ${selectedFilters.join(", ")}`),
-  },
-};
-
-export const WithInteraction: Story = {
-  args: {
-    onSearch: (query: string) => console.log(`Searched: ${query}`),
-    onFilterChange: (selectedFilters: string[]) =>
-      console.log(`Filters changed: ${selectedFilters.join(", ")}`),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const searchInput = canvas.getByRole("store-search-input");
-
-    await userEvent.type(searchInput, "test query");
-    await userEvent.keyboard("{Enter}");
-
-    await expect(searchInput).toHaveValue("test query");
-
-    const filterChip = canvas.getByText("Marketing");
-    await userEvent.click(filterChip);
-
-    await expect(filterChip).toHaveClass("text-[#474747]");
-  },
-};
-
-export const EmptySearch: Story = {
-  args: {
-    onSearch: (query: string) => console.log(`Searched: ${query}`),
-    onFilterChange: (selectedFilters: string[]) =>
-      console.log(`Filters changed: ${selectedFilters.join(", ")}`),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const searchInput = canvas.getByRole("store-search-input");
-
-    await userEvent.click(searchInput);
-    await userEvent.keyboard("{Enter}");
-
-    await expect(searchInput).toHaveValue("");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx
index e7b19e1ca7ec..d23369e11d22 100644
--- a/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx
+++ b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx
@@ -4,39 +4,46 @@ import * as React from "react";
 import { SearchBar } from "@/components/agptui/SearchBar";
 import { FilterChips } from "@/components/agptui/FilterChips";
 import { useRouter } from "next/navigation";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
 
 export const HeroSection: React.FC = () => {
   const router = useRouter();
+  const onboarding = useOnboarding();
+
+  // Mark marketplace visit task as completed
+  React.useEffect(() => {
+    onboarding?.completeStep("MARKETPLACE_VISIT");
+  }, [onboarding?.completeStep]);
 
   function onFilterChange(selectedFilters: string[]) {
     const encodedTerm = encodeURIComponent(selectedFilters.join(", "));
-    router.push(`/store/search?searchTerm=${encodedTerm}`);
+    router.push(`/marketplace/search?searchTerm=${encodedTerm}`);
   }
 
   return (
     <div className="mb-2 mt-8 flex flex-col items-center justify-center px-4 sm:mb-4 sm:mt-12 sm:px-6 md:mb-6 md:mt-16 lg:my-24 lg:px-8 xl:my-16">
       <div className="w-full max-w-3xl lg:max-w-4xl xl:max-w-5xl">
-        <div className="8md:mb-8 mb-4 text-center">
+        <div className="mb-4 text-center md:mb-8">
           <h1 className="text-center">
-            <span className="font-poppins text-5xl font-semibold leading-[54px] text-neutral-950 dark:text-neutral-50">
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-neutral-950 dark:text-neutral-50">
               Explore AI agents built for{" "}
             </span>
-            <span className="font-poppins text-5xl font-semibold leading-[54px] text-violet-600">
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-violet-600">
               you
             </span>
             <br />
-            <span className="font-poppins text-5xl font-semibold leading-[54px] text-neutral-950 dark:text-neutral-50">
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-neutral-950 dark:text-neutral-50">
               by the{" "}
             </span>
-            <span className="font-poppins text-5xl font-semibold leading-[54px] text-blue-500">
+            <span className="font-poppins text-[48px] font-semibold leading-[54px] text-blue-500">
               community
             </span>
           </h1>
         </div>
-        <h3 className="mb:text-2xl font-geist mb-6 text-center text-xl font-normal leading-loose text-neutral-700 dark:text-neutral-300 md:mb-12">
+        <h3 className="mb:text-2xl mb-6 text-center font-sans text-xl font-normal leading-loose text-neutral-700 dark:text-neutral-300 md:mb-12">
           Bringing you AI agents designed by thinkers from around the world
         </h3>
-        <div className="mb-4 flex justify-center sm:mb-5 md:mb-6">
+        <div className="mb-4 flex justify-center sm:mb-5">
           <SearchBar height="h-[74px]" />
         </div>
         <div>
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.stories.tsx
deleted file mode 100644
index 9326edc3d736..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.stories.tsx
+++ /dev/null
@@ -1,52 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { PublishAgentPopout } from "@/components/agptui/composite/PublishAgentPopout";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "AGPT UI/Composite/Publish Agent Popout",
-  component: PublishAgentPopout,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    trigger: { control: "object" },
-  },
-} satisfies Meta<typeof PublishAgentPopout>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {},
-};
-
-export const WithCustomTrigger: Story = {
-  args: {
-    trigger: <button>Custom Publish Button</button>,
-  },
-};
-
-export const PublishFlow: Story = {
-  args: {},
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-
-    // Open popout
-    const publishButton = canvas.getByText("Publish Agent");
-    await userEvent.click(publishButton);
-
-    // Select an agent (assuming one exists)
-    const agentCard = await canvas.findByRole("button", {
-      name: /select agent/i,
-    });
-    await userEvent.click(agentCard);
-
-    // Click next
-    const nextButton = canvas.getByText("Next");
-    await userEvent.click(nextButton);
-
-    // Fill out info form
-    // Note: Actual form interactions would need to be added based on PublishAgentInfo implementation
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.tsx b/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.tsx
deleted file mode 100644
index 5a86e6545313..000000000000
--- a/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.tsx
+++ /dev/null
@@ -1,260 +0,0 @@
-"use client";
-
-import * as React from "react";
-import {
-  Popover,
-  PopoverTrigger,
-  PopoverContent,
-  PopoverAnchor,
-} from "@/components/ui/popover";
-import { PublishAgentSelect } from "../PublishAgentSelect";
-import { PublishAgentInfo } from "../PublishAgentSelectInfo";
-import { PublishAgentAwaitingReview } from "../PublishAgentAwaitingReview";
-import { Button } from "../Button";
-import {
-  StoreSubmissionRequest,
-  MyAgentsResponse,
-} from "@/lib/autogpt-server-api";
-import { useRouter } from "next/navigation";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-interface PublishAgentPopoutProps {
-  trigger?: React.ReactNode;
-  openPopout?: boolean;
-  inputStep?: "select" | "info" | "review";
-  submissionData?: StoreSubmissionRequest;
-}
-
-export const PublishAgentPopout: React.FC<PublishAgentPopoutProps> = ({
-  trigger,
-  openPopout = false,
-  inputStep = "select",
-  submissionData = {
-    name: "",
-    sub_heading: "",
-    slug: "",
-    description: "",
-    image_urls: [],
-    agent_id: "",
-    agent_version: 0,
-    categories: [],
-  },
-}) => {
-  const [step, setStep] = React.useState<"select" | "info" | "review">(
-    inputStep,
-  );
-  const [myAgents, setMyAgents] = React.useState<MyAgentsResponse | null>(null);
-  const [selectedAgent, setSelectedAgent] = React.useState<string | null>(null);
-  const [publishData, setPublishData] =
-    React.useState<StoreSubmissionRequest>(submissionData);
-  const [selectedAgentId, setSelectedAgentId] = React.useState<string | null>(
-    null,
-  );
-  const [selectedAgentVersion, setSelectedAgentVersion] = React.useState<
-    number | null
-  >(null);
-  const [open, setOpen] = React.useState(false);
-
-  const popupId = React.useId();
-  const router = useRouter();
-  const api = useBackendAPI();
-
-  React.useEffect(() => {
-    console.log("PublishAgentPopout Effect");
-    setOpen(openPopout);
-    setStep(inputStep);
-    setPublishData(submissionData);
-  }, [openPopout]); // eslint-disable-line react-hooks/exhaustive-deps
-
-  React.useEffect(() => {
-    console.log("LoadMyAgents Effect");
-    if (open) {
-      const loadMyAgents = async () => {
-        try {
-          const response = await api.getMyAgents();
-          setMyAgents(response);
-        } catch (error) {
-          console.error("Failed to load my agents:", error);
-        }
-      };
-
-      loadMyAgents();
-    }
-  }, [open, api]);
-
-  const handleClose = () => {
-    setStep("select");
-    setSelectedAgent(null);
-    setPublishData({
-      name: "",
-      sub_heading: "",
-      description: "",
-      image_urls: [],
-      agent_id: "",
-      agent_version: 0,
-      slug: "",
-      categories: [],
-    });
-    setOpen(false);
-  };
-
-  const handleAgentSelect = (agentName: string) => {
-    setSelectedAgent(agentName);
-  };
-
-  const handleNextFromSelect = (agentId: string, agentVersion: number) => {
-    setStep("info");
-    setSelectedAgentId(agentId);
-    setSelectedAgentVersion(agentVersion);
-  };
-
-  const handleNextFromInfo = async (
-    name: string,
-    subHeading: string,
-    slug: string,
-    description: string,
-    imageUrls: string[],
-    videoUrl: string,
-    categories: string[],
-  ) => {
-    if (
-      !name ||
-      !subHeading ||
-      !description ||
-      !imageUrls.length ||
-      !categories.length
-    ) {
-      console.error("Missing required fields");
-      return;
-    }
-
-    setPublishData({
-      name,
-      sub_heading: subHeading,
-      description,
-      image_urls: imageUrls,
-      video_url: videoUrl,
-      agent_id: selectedAgentId || "",
-      agent_version: selectedAgentVersion || 0,
-      slug,
-      categories,
-    });
-
-    // Create store submission
-    try {
-      const submission = await api.createStoreSubmission({
-        name: name,
-        sub_heading: subHeading,
-        description: description,
-        image_urls: imageUrls,
-        video_url: videoUrl,
-        agent_id: selectedAgentId || "",
-        agent_version: selectedAgentVersion || 0,
-        slug: slug.replace(/\s+/g, "-"),
-        categories: categories,
-      });
-      console.log("Store submission created:", submission);
-    } catch (error) {
-      console.error("Error creating store submission:", error);
-    }
-    setStep("review");
-  };
-
-  const handleBack = () => {
-    if (step === "info") {
-      setStep("select");
-    } else if (step === "review") {
-      setStep("info");
-    }
-  };
-
-  const renderContent = () => {
-    switch (step) {
-      case "select":
-        return (
-          <div className="flex min-h-screen items-center justify-center">
-            <div className="mx-auto flex w-full max-w-[900px] flex-col rounded-3xl bg-white shadow-lg dark:bg-gray-800">
-              <div className="h-full overflow-y-auto">
-                <PublishAgentSelect
-                  agents={
-                    myAgents?.agents.map((agent) => ({
-                      name: agent.agent_name,
-                      id: agent.agent_id,
-                      version: agent.agent_version,
-                      lastEdited: agent.last_edited,
-                      imageSrc: "https://picsum.photos/300/200", // Fallback image if none provided
-                    })) || []
-                  }
-                  onSelect={handleAgentSelect}
-                  onCancel={handleClose}
-                  onNext={handleNextFromSelect}
-                  onClose={handleClose}
-                  onOpenBuilder={() => router.push("/build")}
-                />
-              </div>
-            </div>
-          </div>
-        );
-      case "info":
-        return (
-          <div className="flex min-h-screen items-center justify-center">
-            <div className="mx-auto flex w-full max-w-[900px] flex-col rounded-3xl bg-white shadow-lg dark:bg-gray-800">
-              <div className="h-[700px] overflow-y-auto">
-                <PublishAgentInfo
-                  onBack={handleBack}
-                  onSubmit={handleNextFromInfo}
-                  onClose={handleClose}
-                />
-              </div>
-            </div>
-          </div>
-        );
-      case "review":
-        return publishData ? (
-          <div className="flex justify-center">
-            <div className="mx-auto flex w-full max-w-[900px] flex-col rounded-3xl bg-white shadow-lg dark:bg-gray-800">
-              <div className="h-[600px] overflow-y-auto">
-                <PublishAgentAwaitingReview
-                  agentName={publishData.name}
-                  subheader={publishData.sub_heading}
-                  description={publishData.description}
-                  thumbnailSrc={publishData.image_urls[0]}
-                  onClose={handleClose}
-                  onDone={handleClose}
-                  onViewProgress={() => {
-                    router.push("/store/dashboard");
-                    handleClose();
-                  }}
-                />
-              </div>
-            </div>
-          </div>
-        ) : null;
-    }
-  };
-
-  return (
-    <Popover
-      open={open}
-      onOpenChange={(isOpen) => {
-        if (isOpen !== open) {
-          setOpen(isOpen);
-        }
-      }}
-    >
-      <PopoverTrigger asChild>
-        {trigger || <Button variant="default">Publish Agent</Button>}
-      </PopoverTrigger>
-      <PopoverAnchor asChild>
-        <div className="fixed left-0 top-0 hidden h-screen w-screen items-center justify-center"></div>
-      </PopoverAnchor>
-
-      <PopoverContent
-        id={popupId}
-        align="center"
-        className="z-50 h-screen w-screen bg-transparent"
-      >
-        {renderContent()}
-      </PopoverContent>
-    </Popover>
-  );
-};
diff --git a/autogpt_platform/frontend/src/components/agptui/delete-confirm-dialog.tsx b/autogpt_platform/frontend/src/components/agptui/delete-confirm-dialog.tsx
new file mode 100644
index 000000000000..7d09502dd257
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/delete-confirm-dialog.tsx
@@ -0,0 +1,57 @@
+import { Button } from "@/components/agptui/Button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+
+export default function DeleteConfirmDialog({
+  entityType,
+  entityName,
+  open,
+  onOpenChange,
+  onDoDelete,
+  isIrreversible = true,
+  className,
+}: {
+  entityType: string;
+  entityName?: string;
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+  onDoDelete: () => void;
+  isIrreversible?: boolean;
+  className?: string;
+}): React.ReactNode {
+  const displayType = entityType
+    .split(" ")
+    .map((word) => word.charAt(0).toUpperCase() + word.slice(1))
+    .join(" ");
+  return (
+    <Dialog open={open} onOpenChange={onOpenChange}>
+      <DialogContent className={className}>
+        <DialogHeader>
+          <DialogTitle>
+            Delete {displayType} {entityName && `"${entityName}"`}
+          </DialogTitle>
+          <DialogDescription>
+            Are you sure you want to delete this {entityType}?
+            {isIrreversible && (
+              <b>
+                <br /> This action cannot be undone.
+              </b>
+            )}
+          </DialogDescription>
+        </DialogHeader>
+        <DialogFooter>
+          <Button onClick={() => onOpenChange(false)}>Cancel</Button>
+          <Button variant="destructive" onClick={onDoDelete}>
+            Delete
+          </Button>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/agptui/types.ts b/autogpt_platform/frontend/src/components/agptui/types.ts
new file mode 100644
index 000000000000..6b5276ad719a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/agptui/types.ts
@@ -0,0 +1,19 @@
+import type { ButtonProps } from "@/components/agptui/Button";
+import type { LinkProps } from "next/link";
+import React from "react";
+
+export type ButtonAction = {
+  label: React.ReactNode;
+  variant?: ButtonProps["variant"];
+  disabled?: boolean;
+  extraProps?: Record<`data-${string}`, string>;
+} & (
+  | {
+      callback: () => void;
+      extraProps?: Partial<ButtonProps>;
+    }
+  | {
+      href: string;
+      extraProps?: Partial<LinkProps>;
+    }
+);
diff --git a/autogpt_platform/frontend/src/components/analytics/google-analytics.tsx b/autogpt_platform/frontend/src/components/analytics/google-analytics.tsx
new file mode 100644
index 000000000000..58d5f996b527
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/analytics/google-analytics.tsx
@@ -0,0 +1,68 @@
+/**
+ * Modified copy of ga.tsx from @next/third-parties/google, with modified gtag.js source URL.
+ * Original source file: https://github.com/vercel/next.js/blob/b304b45e3a6e3e79338568d76e28805e77c03ec9/packages/third-parties/src/google/ga.tsx
+ */
+
+"use client";
+
+import type { GAParams } from "@/types/google";
+import Script from "next/script";
+import { useEffect } from "react";
+
+let currDataLayerName: string | undefined = undefined;
+
+export function GoogleAnalytics(props: GAParams) {
+  const { gaId, debugMode, dataLayerName = "dataLayer", nonce } = props;
+
+  if (currDataLayerName === undefined) {
+    currDataLayerName = dataLayerName;
+  }
+
+  useEffect(() => {
+    // Feature usage signal (same as original implementation)
+    performance.mark("mark_feature_usage", {
+      detail: {
+        feature: "custom-ga",
+      },
+    });
+  }, []);
+
+  return (
+    <>
+      <Script
+        id="_custom-ga-init"
+        // Using "afterInteractive" to avoid blocking the initial page rendering
+        strategy="afterInteractive"
+        dangerouslySetInnerHTML={{
+          __html: `
+            window['${dataLayerName}'] = window['${dataLayerName}'] || [];
+            function gtag(){window['${dataLayerName}'].push(arguments);}
+            gtag('js', new Date());
+            gtag('config', '${gaId}' ${debugMode ? ",{ 'debug_mode': true }" : ""});
+          `,
+        }}
+        nonce={nonce}
+      />
+      <Script
+        id="_custom-ga"
+        strategy="afterInteractive"
+        src="/gtag.js"
+        nonce={nonce}
+      />
+    </>
+  );
+}
+
+export function sendGAEvent(...args: any[]) {
+  if (currDataLayerName === undefined) {
+    console.warn(`Custom GA: GA has not been initialized`);
+    return;
+  }
+
+  const dataLayer = (window as any)[currDataLayerName];
+  if (dataLayer) {
+    dataLayer.push(...args);
+  } else {
+    console.warn(`Custom GA: dataLayer ${currDataLayerName} does not exist`);
+  }
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Badge/Badge.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Badge/Badge.stories.tsx
new file mode 100644
index 000000000000..c502a85f3cc9
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Badge/Badge.stories.tsx
@@ -0,0 +1,77 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Badge } from "./Badge";
+
+const meta: Meta<typeof Badge> = {
+  title: "Atoms/Badge",
+  tags: ["autodocs"],
+  component: Badge,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "Badge component for displaying status information with different variants for success, error, and info states.",
+      },
+    },
+  },
+  argTypes: {
+    variant: {
+      control: "select",
+      options: ["success", "error", "info"],
+      description: "Badge variant that determines color scheme",
+    },
+    children: {
+      control: "text",
+      description: "Badge content",
+    },
+    className: {
+      control: "text",
+      description: "Additional CSS classes",
+    },
+  },
+  args: {
+    variant: "success",
+    children: "Success",
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+export const Success: Story = {
+  args: {
+    variant: "success",
+    children: "Success",
+  },
+};
+
+export const Error: Story = {
+  args: {
+    variant: "error",
+    children: "Failed",
+  },
+};
+
+export const Info: Story = {
+  args: {
+    variant: "info",
+    children: "Stopped",
+  },
+};
+
+export const AllVariants: Story = {
+  render: renderAllVariants,
+};
+
+function renderAllVariants() {
+  return (
+    <div className="flex flex-wrap gap-4">
+      <Badge variant="success">Success</Badge>
+      <Badge variant="error">Failed</Badge>
+      <Badge variant="info">Stopped</Badge>
+      <Badge variant="info">Running</Badge>
+      <Badge variant="success">Completed</Badge>
+      <Badge variant="error">Error</Badge>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Badge/Badge.test.tsx b/autogpt_platform/frontend/src/components/atoms/Badge/Badge.test.tsx
new file mode 100644
index 000000000000..cd8531375b2e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Badge/Badge.test.tsx
@@ -0,0 +1,81 @@
+// import { render, screen } from "@testing-library/react";
+// import { describe, expect, it } from "vitest";
+// import { Badge } from "./Badge";
+
+// describe("Badge Component", () => {
+//   it("renders badge with content", () => {
+//     render(<Badge variant="success">Success</Badge>);
+
+//     expect(screen.getByText("Success")).toBeInTheDocument();
+//   });
+
+//   it("applies correct variant styles", () => {
+//     const { rerender } = render(<Badge variant="success">Success</Badge>);
+//     let badge = screen.getByText("Success");
+//     expect(badge).toHaveClass("bg-green-100", "text-green-800");
+
+//     rerender(<Badge variant="error">Error</Badge>);
+//     badge = screen.getByText("Error");
+//     expect(badge).toHaveClass("bg-red-100", "text-red-800");
+
+//     rerender(<Badge variant="info">Info</Badge>);
+//     badge = screen.getByText("Info");
+//     expect(badge).toHaveClass("bg-slate-100", "text-slate-800");
+//   });
+
+//   it("applies custom className", () => {
+//     render(
+//       <Badge variant="success" className="custom-class">
+//         Success
+//       </Badge>,
+//     );
+
+//     const badge = screen.getByText("Success");
+//     expect(badge).toHaveClass("custom-class");
+//   });
+
+//   it("renders as span element", () => {
+//     render(<Badge variant="success">Success</Badge>);
+
+//     const badge = screen.getByText("Success");
+//     expect(badge.tagName).toBe("SPAN");
+//   });
+
+//   it("renders children correctly", () => {
+//     render(
+//       <Badge variant="success">
+//         <span>Custom</span> Content
+//       </Badge>,
+//     );
+
+//     expect(screen.getByText("Custom")).toBeInTheDocument();
+//     expect(screen.getByText("Content")).toBeInTheDocument();
+//   });
+
+//   it("supports all badge variants", () => {
+//     const variants = ["success", "error", "info"] as const;
+
+//     variants.forEach((variant) => {
+//       const { unmount } = render(
+//         <Badge variant={variant} data-testid={`badge-${variant}`}>
+//           {variant}
+//         </Badge>,
+//       );
+
+//       expect(screen.getByTestId(`badge-${variant}`)).toBeInTheDocument();
+//       unmount();
+//     });
+//   });
+
+//   it("handles long text content", () => {
+//     render(
+//       <Badge variant="info">
+//         Very long text that should be handled properly by the component
+//       </Badge>,
+//     );
+
+//     const badge = screen.getByText(/Very long text/);
+//     expect(badge).toBeInTheDocument();
+//     expect(badge).toHaveClass("overflow-hidden", "text-ellipsis");
+//   });
+// });
diff --git a/autogpt_platform/frontend/src/components/atoms/Badge/Badge.tsx b/autogpt_platform/frontend/src/components/atoms/Badge/Badge.tsx
new file mode 100644
index 000000000000..e577f4206dad
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Badge/Badge.tsx
@@ -0,0 +1,35 @@
+import { cn } from "@/lib/utils";
+
+type BadgeVariant = "success" | "error" | "info";
+
+interface BadgeProps {
+  variant: BadgeVariant;
+  children: React.ReactNode;
+  className?: string;
+}
+
+const badgeVariants: Record<BadgeVariant, string> = {
+  success: "bg-green-100 text-green-800",
+  error: "bg-red-100 text-red-800",
+  info: "bg-slate-50 text-black",
+};
+
+export function Badge({ variant, children, className }: BadgeProps) {
+  return (
+    <span
+      className={cn(
+        // Base styles from Figma
+        "inline-flex items-center gap-2 rounded-[45px] px-[9px] py-[3px]",
+        // Text styles
+        "font-sans text-[0.6785rem] font-medium uppercase leading-5 tracking-wider",
+        // Text overflow handling
+        "overflow-hidden text-ellipsis",
+        // Variant styles
+        badgeVariants[variant],
+        className,
+      )}
+    >
+      {children}
+    </span>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Button/Button.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Button/Button.stories.tsx
new file mode 100644
index 000000000000..85f631840545
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Button/Button.stories.tsx
@@ -0,0 +1,608 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Play, Plus } from "lucide-react";
+import { Button } from "./Button";
+
+const meta: Meta<typeof Button> = {
+  title: "Atoms/Button",
+  tags: ["autodocs"],
+  component: Button,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "Button component with multiple variants and sizes based on our design system. Built on top of shadcn/ui button with custom styling.",
+      },
+    },
+  },
+  argTypes: {
+    variant: {
+      control: "select",
+      options: [
+        "primary",
+        "secondary",
+        "destructive",
+        "outline",
+        "ghost",
+        "loading",
+      ],
+      description: "Button style variant",
+    },
+    size: {
+      control: "select",
+      options: ["small", "large", "icon"],
+      description: "Button size",
+    },
+    loading: {
+      control: "boolean",
+      description: "Show loading spinner and disable button",
+    },
+    disabled: {
+      control: "boolean",
+      description: "Disable the button",
+    },
+    children: {
+      control: "text",
+      description: "Button content",
+    },
+  },
+  args: {
+    children: "Button",
+    variant: "primary",
+    size: "large",
+    loading: false,
+    disabled: false,
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof Button>;
+
+// Basic variants
+export const Primary: Story = {
+  args: {
+    variant: "primary",
+    children: "Primary Button",
+  },
+};
+
+export const Secondary: Story = {
+  args: {
+    variant: "secondary",
+    children: "Secondary Button",
+  },
+};
+
+export const Destructive: Story = {
+  args: {
+    variant: "destructive",
+    children: "Delete",
+  },
+};
+
+export const Outline: Story = {
+  args: {
+    variant: "outline",
+    children: "Outline Button",
+  },
+};
+
+export const Ghost: Story = {
+  args: {
+    variant: "ghost",
+    children: "Ghost Button",
+  },
+};
+
+// Loading states
+export const Loading: Story = {
+  args: {
+    loading: true,
+    children: "Saving...",
+  },
+  parameters: {
+    docs: {
+      description: {
+        story:
+          "Use contextual loading text that reflects the action being performed (e.g., 'Computing...', 'Processing...', 'Saving...', 'Uploading...', 'Deleting...')",
+      },
+    },
+  },
+};
+
+export const LoadingGhost: Story = {
+  args: {
+    variant: "ghost",
+    loading: true,
+    children: "Fetching data...",
+  },
+  parameters: {
+    docs: {
+      description: {
+        story:
+          "Always show contextual loading text that describes what's happening. Avoid generic 'Loading...' text when possible.",
+      },
+    },
+  },
+};
+
+// Contextual loading examples
+export const ContextualLoadingExamples: Story = {
+  render: renderContextualLoadingExamples,
+  parameters: {
+    docs: {
+      description: {
+        story:
+          "Examples of contextual loading text. Always use specific action-based text rather than generic 'Loading...' to give users clear feedback about what's happening.",
+      },
+    },
+  },
+};
+
+// Sizes
+export const SmallButtons: Story = {
+  render: renderSmallButtons,
+};
+
+export const LargeButtons: Story = {
+  render: renderLargeButtons,
+};
+
+// With icons
+export const WithLeftIcon: Story = {
+  args: {
+    variant: "primary",
+    leftIcon: <Play className="h-4 w-4" />,
+    children: "Play",
+  },
+};
+
+export const WithRightIcon: Story = {
+  args: {
+    variant: "outline",
+    rightIcon: <Plus className="h-4 w-4" />,
+    children: "Add Item",
+  },
+};
+
+export const IconOnly: Story = {
+  args: {
+    variant: "icon",
+    size: "icon",
+    children: <Plus className="h-4 w-4" />,
+    "aria-label": "Add item",
+  },
+};
+
+// States
+export const Disabled: Story = {
+  render: renderDisabledButtons,
+};
+
+// Complete showcase matching Figma design
+export const AllVariants: Story = {
+  render: renderAllVariants,
+};
+
+// Render functions as function declarations
+function renderContextualLoadingExamples() {
+  return (
+    <div className="space-y-6">
+      <div>
+        <h3 className="mb-4 text-base font-medium text-neutral-900">
+          ✅ Good Examples - Contextual Loading Text
+        </h3>
+        <div className="flex flex-wrap gap-4">
+          <Button variant="primary" loading>
+            Saving...
+          </Button>
+          <Button variant="primary" loading>
+            Computing...
+          </Button>
+          <Button variant="primary" loading>
+            Processing...
+          </Button>
+          <Button variant="primary" loading>
+            Uploading...
+          </Button>
+          <Button variant="destructive" loading>
+            Deleting...
+          </Button>
+          <Button variant="secondary" loading>
+            Generating...
+          </Button>
+          <Button variant="ghost" loading>
+            Fetching data...
+          </Button>
+          <Button variant="outline" loading>
+            Analyzing...
+          </Button>
+        </div>
+      </div>
+
+      <div>
+        <h3 className="mb-4 text-base font-medium text-red-600">
+          ❌ Avoid - Generic Loading Text
+        </h3>
+        <div className="flex flex-wrap gap-4">
+          <Button variant="primary" loading disabled>
+            Loading...
+          </Button>
+          <Button variant="secondary" loading disabled>
+            Please wait...
+          </Button>
+          <Button variant="outline" loading disabled>
+            Working...
+          </Button>
+        </div>
+        <p className="mt-2 text-sm text-neutral-600">
+          These examples are disabled to show what NOT to do. Use specific
+          action-based text instead.
+        </p>
+      </div>
+    </div>
+  );
+}
+
+function renderSmallButtons() {
+  return (
+    <div className="flex flex-wrap gap-4">
+      <Button variant="primary" size="small">
+        Primary
+      </Button>
+      <Button variant="secondary" size="small">
+        Secondary
+      </Button>
+      <Button variant="destructive" size="small">
+        Delete
+      </Button>
+      <Button variant="outline" size="small">
+        Outline
+      </Button>
+      <Button variant="ghost" size="small">
+        Ghost
+      </Button>
+    </div>
+  );
+}
+
+function renderLargeButtons() {
+  return (
+    <div className="flex flex-wrap gap-4">
+      <Button variant="primary" size="large">
+        Primary
+      </Button>
+      <Button variant="secondary" size="large">
+        Secondary
+      </Button>
+      <Button variant="destructive" size="large">
+        Delete
+      </Button>
+      <Button variant="outline" size="large">
+        Outline
+      </Button>
+      <Button variant="ghost" size="large">
+        Ghost
+      </Button>
+    </div>
+  );
+}
+
+function renderDisabledButtons() {
+  return (
+    <div className="flex flex-wrap gap-4">
+      <Button variant="primary" disabled>
+        Primary Disabled
+      </Button>
+      <Button variant="secondary" disabled>
+        Secondary Disabled
+      </Button>
+      <Button variant="destructive" disabled>
+        Destructive Disabled
+      </Button>
+      <Button variant="outline" disabled>
+        Outline Disabled
+      </Button>
+      <Button variant="ghost" disabled>
+        Ghost Disabled
+      </Button>
+    </div>
+  );
+}
+
+function renderAllVariants() {
+  return (
+    <div className="space-y-12 p-8">
+      {/* Large buttons section */}
+      <div className="space-y-8">
+        <h2 className="text-3xl font-semibold text-neutral-900">
+          Large buttons
+        </h2>
+        <div className="flex flex-wrap gap-20">
+          {/* Primary */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Primary
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="primary" size="large">
+                Save
+              </Button>
+              <Button variant="primary" size="large" loading>
+                Loading
+              </Button>
+              <Button variant="primary" size="large" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="primary"
+                size="large"
+                leftIcon={<Play className="h-5 w-5" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Secondary */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Secondary
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="secondary" size="large">
+                Save
+              </Button>
+              <Button variant="secondary" size="large" loading>
+                Loading
+              </Button>
+              <Button variant="secondary" size="large" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="secondary"
+                size="large"
+                leftIcon={<Play className="h-5 w-5" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Destructive */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Destructive
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="destructive" size="large">
+                Save
+              </Button>
+              <Button variant="destructive" size="large" loading>
+                Loading
+              </Button>
+              <Button variant="destructive" size="large" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="destructive"
+                size="large"
+                leftIcon={<Play className="h-5 w-5" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Outline */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Outline
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="outline" size="large">
+                Save
+              </Button>
+              <Button variant="outline" size="large" loading>
+                Loading
+              </Button>
+              <Button variant="outline" size="large" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="outline"
+                size="large"
+                leftIcon={<Play className="h-5 w-5" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Ghost */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Save
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="ghost" size="large">
+                Text
+              </Button>
+              <Button variant="ghost" size="large" loading>
+                Loading
+              </Button>
+              <Button variant="ghost" size="large" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="ghost"
+                size="large"
+                leftIcon={<Play className="h-5 w-5" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Small buttons section */}
+      <div className="space-y-8">
+        <h2 className="text-3xl font-semibold text-neutral-900">
+          Small buttons
+        </h2>
+        <div className="flex flex-wrap gap-20">
+          {/* Primary Small */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Primary
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="primary" size="small">
+                Save
+              </Button>
+              <Button variant="primary" size="small" loading>
+                Loading
+              </Button>
+              <Button variant="primary" size="small" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="primary"
+                size="small"
+                leftIcon={<Play className="h-4 w-4" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Secondary Small */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Secondary
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="secondary" size="small">
+                Save
+              </Button>
+              <Button variant="secondary" size="small" loading>
+                Loading
+              </Button>
+              <Button variant="secondary" size="small" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="secondary"
+                size="small"
+                leftIcon={<Play className="h-4 w-4" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Destructive Small */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Destructive
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="destructive" size="small">
+                Save
+              </Button>
+              <Button variant="destructive" size="small" loading>
+                Loading
+              </Button>
+              <Button variant="destructive" size="small" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="destructive"
+                size="small"
+                leftIcon={<Play className="h-4 w-4" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Outline Small */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Outline
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="outline" size="small">
+                Save
+              </Button>
+              <Button variant="outline" size="small" loading>
+                Loading
+              </Button>
+              <Button variant="outline" size="small" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="outline"
+                size="small"
+                leftIcon={<Play className="h-4 w-4" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+
+          {/* Ghost Small */}
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-neutral-900">
+              Ghost
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="ghost" size="small">
+                Save
+              </Button>
+              <Button variant="ghost" size="small" loading>
+                Loading
+              </Button>
+              <Button variant="ghost" size="small" disabled>
+                Disabled
+              </Button>
+              <Button
+                variant="ghost"
+                size="small"
+                leftIcon={<Play className="h-4 w-4" />}
+              >
+                Play
+              </Button>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Other button types */}
+      <div className="space-y-8">
+        <h2 className="text-3xl font-semibold text-neutral-900">
+          Other button types
+        </h2>
+        <div className="flex gap-20">
+          <div className="flex flex-col gap-5">
+            <div className="font-['Geist'] text-base font-medium text-zinc-800">
+              Icon
+            </div>
+            <div className="flex flex-col gap-8">
+              <Button variant="icon" size="icon">
+                <Plus className="h-4 w-4" />
+              </Button>
+              <Button variant="primary" size="icon" className="bg-zinc-700">
+                <Plus className="h-4 w-4" />
+              </Button>
+              <Button variant="icon" size="icon" disabled>
+                <Plus className="h-4 w-4" />
+              </Button>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Button/Button.tsx b/autogpt_platform/frontend/src/components/atoms/Button/Button.tsx
new file mode 100644
index 000000000000..c39f561783d5
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Button/Button.tsx
@@ -0,0 +1,91 @@
+import { cn } from "@/lib/utils";
+import { CircleNotchIcon } from "@phosphor-icons/react/dist/ssr";
+import Link, { type LinkProps } from "next/link";
+import React from "react";
+import { ButtonProps, extendedButtonVariants } from "./helpers";
+
+export function Button(props: ButtonProps) {
+  const {
+    className,
+    variant,
+    size,
+    loading = false,
+    leftIcon,
+    rightIcon,
+    children,
+    as = "button",
+    ...restProps
+  } = props;
+
+  const disabled = "disabled" in props ? props.disabled : false;
+  const isDisabled = disabled;
+
+  const buttonContent = (
+    <>
+      {loading && (
+        <CircleNotchIcon className="h-4 w-4 animate-spin" weight="bold" />
+      )}
+      {!loading && leftIcon}
+      {children}
+      {!loading && rightIcon}
+    </>
+  );
+
+  if (loading) {
+    const loadingClassName =
+      variant === "ghost"
+        ? cn(
+            extendedButtonVariants({ variant, size, className }),
+            "pointer-events-none",
+          )
+        : cn(
+            extendedButtonVariants({ variant: "primary", size, className }),
+            "pointer-events-none border-zinc-500 bg-zinc-500 text-white",
+          );
+
+    return as === "NextLink" ? (
+      <Link
+        {...(restProps as LinkProps)}
+        className={loadingClassName}
+        aria-disabled="true"
+      >
+        <CircleNotchIcon className="h-4 w-4 animate-spin" weight="bold" />
+        {children}
+      </Link>
+    ) : (
+      <button className={loadingClassName} disabled>
+        <CircleNotchIcon className="h-4 w-4 animate-spin" weight="bold" />
+        {children}
+      </button>
+    );
+  }
+
+  if (as === "NextLink") {
+    return (
+      <Link
+        {...(restProps as LinkProps)}
+        className={cn(
+          extendedButtonVariants({ variant, size, className }),
+          loading && "pointer-events-none",
+          isDisabled && "pointer-events-none opacity-50",
+        )}
+        aria-disabled={isDisabled}
+      >
+        {buttonContent}
+      </Link>
+    );
+  }
+
+  return (
+    <button
+      className={cn(
+        extendedButtonVariants({ variant, size, className }),
+        loading && "pointer-events-none",
+      )}
+      disabled={isDisabled}
+      {...(restProps as React.ButtonHTMLAttributes<HTMLButtonElement>)}
+    >
+      {buttonContent}
+    </button>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Button/helpers.ts b/autogpt_platform/frontend/src/components/atoms/Button/helpers.ts
new file mode 100644
index 000000000000..80674c3acd3c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Button/helpers.ts
@@ -0,0 +1,55 @@
+import { cva, VariantProps } from "class-variance-authority";
+import { LinkProps } from "next/link";
+
+// Extended button variants based on our design system
+export const extendedButtonVariants = cva(
+  "inline-flex items-center justify-center whitespace-nowrap font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 font-sans leading-snug border",
+  {
+    variants: {
+      variant: {
+        primary:
+          "bg-zinc-800 border-zinc-800 text-white hover:bg-zinc-900 hover:border-zinc-900 rounded-full disabled:text-white disabled:bg-zinc-200 disabled:border-zinc-200 disabled:opacity-1",
+        secondary:
+          "bg-zinc-100 border-zinc-100 text-black hover:bg-zinc-300 hover:border-zinc-300 rounded-full disabled:text-zinc-300 disabled:bg-zinc-50 disabled:border-zinc-50 disabled:opacity-1",
+        destructive:
+          "bg-red-500 border-red-500 text-white hover:bg-red-600 hover:border-red-600 rounded-full disabled:text-white disabled:bg-zinc-200 disabled:border-zinc-200 disabled:opacity-1",
+        outline:
+          "bg-transparent border-zinc-700 text-black hover:bg-zinc-100 hover:border-zinc-700 rounded-full disabled:border-zinc-200 disabled:text-zinc-200 disabled:opacity-1",
+        ghost:
+          "bg-transparent border-transparent text-black hover:bg-zinc-50 hover:border-zinc-50 rounded-full disabled:text-zinc-200 disabled:opacity-1",
+        icon: "bg-white text-black border border-zinc-600 hover:bg-zinc-100 rounded-[96px] disabled:opacity-1",
+      },
+      size: {
+        small: "px-3 py-2 text-sm gap-1.5 h-[2.25rem]",
+        large: "min-w-20 px-4 py-3 text-sm gap-2",
+        icon: "p-3",
+      },
+    },
+    defaultVariants: {
+      variant: "primary",
+      size: "large",
+    },
+  },
+);
+
+type BaseButtonProps = {
+  loading?: boolean;
+  leftIcon?: React.ReactNode;
+  rightIcon?: React.ReactNode;
+  asChild?: boolean;
+} & VariantProps<typeof extendedButtonVariants>;
+
+type ButtonAsButton = BaseButtonProps &
+  React.ButtonHTMLAttributes<HTMLButtonElement> & {
+    as?: "button";
+    href?: never;
+  };
+
+type ButtonAsLink = BaseButtonProps &
+  Omit<React.AnchorHTMLAttributes<HTMLAnchorElement>, keyof LinkProps> &
+  LinkProps & {
+    as: "NextLink";
+    disabled?: boolean;
+  };
+
+export type ButtonProps = ButtonAsButton | ButtonAsLink;
diff --git a/autogpt_platform/frontend/src/components/atoms/Button/helpers.tsx b/autogpt_platform/frontend/src/components/atoms/Button/helpers.tsx
new file mode 100644
index 000000000000..80674c3acd3c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Button/helpers.tsx
@@ -0,0 +1,55 @@
+import { cva, VariantProps } from "class-variance-authority";
+import { LinkProps } from "next/link";
+
+// Extended button variants based on our design system
+export const extendedButtonVariants = cva(
+  "inline-flex items-center justify-center whitespace-nowrap font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 font-sans leading-snug border",
+  {
+    variants: {
+      variant: {
+        primary:
+          "bg-zinc-800 border-zinc-800 text-white hover:bg-zinc-900 hover:border-zinc-900 rounded-full disabled:text-white disabled:bg-zinc-200 disabled:border-zinc-200 disabled:opacity-1",
+        secondary:
+          "bg-zinc-100 border-zinc-100 text-black hover:bg-zinc-300 hover:border-zinc-300 rounded-full disabled:text-zinc-300 disabled:bg-zinc-50 disabled:border-zinc-50 disabled:opacity-1",
+        destructive:
+          "bg-red-500 border-red-500 text-white hover:bg-red-600 hover:border-red-600 rounded-full disabled:text-white disabled:bg-zinc-200 disabled:border-zinc-200 disabled:opacity-1",
+        outline:
+          "bg-transparent border-zinc-700 text-black hover:bg-zinc-100 hover:border-zinc-700 rounded-full disabled:border-zinc-200 disabled:text-zinc-200 disabled:opacity-1",
+        ghost:
+          "bg-transparent border-transparent text-black hover:bg-zinc-50 hover:border-zinc-50 rounded-full disabled:text-zinc-200 disabled:opacity-1",
+        icon: "bg-white text-black border border-zinc-600 hover:bg-zinc-100 rounded-[96px] disabled:opacity-1",
+      },
+      size: {
+        small: "px-3 py-2 text-sm gap-1.5 h-[2.25rem]",
+        large: "min-w-20 px-4 py-3 text-sm gap-2",
+        icon: "p-3",
+      },
+    },
+    defaultVariants: {
+      variant: "primary",
+      size: "large",
+    },
+  },
+);
+
+type BaseButtonProps = {
+  loading?: boolean;
+  leftIcon?: React.ReactNode;
+  rightIcon?: React.ReactNode;
+  asChild?: boolean;
+} & VariantProps<typeof extendedButtonVariants>;
+
+type ButtonAsButton = BaseButtonProps &
+  React.ButtonHTMLAttributes<HTMLButtonElement> & {
+    as?: "button";
+    href?: never;
+  };
+
+type ButtonAsLink = BaseButtonProps &
+  Omit<React.AnchorHTMLAttributes<HTMLAnchorElement>, keyof LinkProps> &
+  LinkProps & {
+    as: "NextLink";
+    disabled?: boolean;
+  };
+
+export type ButtonProps = ButtonAsButton | ButtonAsLink;
diff --git a/autogpt_platform/frontend/src/components/atoms/Card/Card.tsx b/autogpt_platform/frontend/src/components/atoms/Card/Card.tsx
new file mode 100644
index 000000000000..9898e6b0cce5
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Card/Card.tsx
@@ -0,0 +1,15 @@
+import { cn } from "@/lib/utils";
+import { ReactNode } from "react";
+
+interface Props {
+  children: ReactNode;
+  className?: string;
+}
+
+export function Card({ children, className }: Props) {
+  return (
+    <div className={cn("rounded-large bg-white p-6 shadow-md", className)}>
+      {children}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Input/Input.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Input/Input.stories.tsx
new file mode 100644
index 000000000000..4f6246c49a6e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Input/Input.stories.tsx
@@ -0,0 +1,217 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Input } from "./Input";
+
+const meta: Meta<typeof Input> = {
+  title: "Atoms/Input",
+  tags: ["autodocs"],
+  component: Input,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "Input component based on our design system. Built on top of shadcn/ui input with custom styling matching Figma designs.",
+      },
+    },
+  },
+  argTypes: {
+    type: {
+      control: "select",
+      options: [
+        "text",
+        "email",
+        "password",
+        "number",
+        "amount",
+        "tel",
+        "url",
+        "textarea",
+      ],
+      description: "Input type",
+    },
+    placeholder: {
+      control: "text",
+      description: "Placeholder text",
+    },
+    value: {
+      control: "text",
+      description: "The value of the input",
+    },
+    label: {
+      control: "text",
+      description:
+        "Label text (used as placeholder if no placeholder provided)",
+    },
+    disabled: {
+      control: "boolean",
+      description: "Disable the input",
+    },
+    hideLabel: {
+      control: "boolean",
+      description: "Hide the label",
+    },
+    decimalCount: {
+      control: "number",
+      description:
+        "Number of decimal places allowed (only for amount type). Default is 4.",
+    },
+    error: {
+      control: "text",
+      description: "Error message to display below the input",
+    },
+    rows: {
+      control: "number",
+      description: "Number of rows for textarea type. Default is 3.",
+    },
+  },
+  args: {
+    placeholder: "Enter text...",
+    type: "text",
+    value: "",
+    disabled: false,
+    hideLabel: false,
+    decimalCount: 4,
+    rows: 3,
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+// Basic variants
+export const Default: Story = {
+  args: {
+    placeholder: "Enter your text",
+    label: "Full Name",
+  },
+};
+
+export const WithoutLabel: Story = {
+  args: {
+    label: "Full Name",
+    hideLabel: true,
+  },
+};
+
+export const Disabled: Story = {
+  args: {
+    placeholder: "This field is disabled",
+    label: "Full Name",
+    disabled: true,
+  },
+};
+
+export const WithError: Story = {
+  args: {
+    label: "Email",
+    type: "email",
+    placeholder: "Enter your email",
+    error: "Please enter a valid email address",
+  },
+};
+
+export const TextareaInput: Story = {
+  args: {
+    label: "Description",
+    type: "textarea",
+    placeholder: "Enter your description",
+    rows: 4,
+  },
+};
+
+export const InputTypes: Story = {
+  render: renderInputTypes,
+  parameters: {
+    controls: {
+      disable: true,
+    },
+    docs: {
+      description: {
+        story:
+          "Complete showcase of all input types with their specific behaviors. Test each input type to verify filtering and formatting works correctly.",
+      },
+    },
+  },
+};
+
+// Render functions as function declarations
+function renderInputTypes() {
+  return (
+    <div className="w-full max-w-md space-y-8">
+      <Input
+        label="Full Name"
+        type="text"
+        placeholder="Enter your full name"
+        id="full-name"
+      />
+      <Input
+        label="Email"
+        type="email"
+        placeholder="your.email@example.com"
+        id="email"
+      />
+      <Input
+        label="Password"
+        type="password"
+        placeholder="Enter your password"
+        id="password"
+      />
+      <div className="flex flex-col gap-4">
+        <p className="font-mono text-sm">
+          If type=&quot;number&quot; prop is provided, the input will allow only
+          positive or negative numbers. No decimal limiting.
+        </p>
+        <Input
+          label="Age"
+          type="number"
+          placeholder="Enter your age"
+          id="age"
+        />
+      </div>
+      <div className="flex flex-col gap-4">
+        <p className="font-mono text-sm">
+          If type=&quot;amount&quot; prop is provided, it formats numbers with
+          commas (1000 → 1,000) and limits decimals via decimalCount prop.
+        </p>
+        <Input
+          label="Price"
+          type="amount"
+          placeholder="Enter amount"
+          decimalCount={2}
+          id="price"
+        />
+      </div>
+      <div className="flex flex-col gap-4">
+        <p className="font-mono text-sm">
+          If type=&quot;tel&quot; prop is provided, the input will allow only
+          numbers, spaces, parentheses (), plus +, and brackets [].
+        </p>
+        <Input
+          label="Phone"
+          type="tel"
+          placeholder="+1 (555) 123-4567"
+          id="phone"
+        />
+      </div>
+      <Input
+        label="Website"
+        type="url"
+        placeholder="https://example.com"
+        id="website"
+      />
+      <div className="flex flex-col gap-4">
+        <p className="font-mono text-sm">
+          If type=&quot;textarea&quot; prop is provided, it renders a multi-line
+          text area with specified rows.
+        </p>
+        <Input
+          label="Description"
+          type="textarea"
+          placeholder="Enter your description"
+          id="description"
+          rows={4}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Input/Input.tsx b/autogpt_platform/frontend/src/components/atoms/Input/Input.tsx
new file mode 100644
index 000000000000..8ecf49edb999
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Input/Input.tsx
@@ -0,0 +1,184 @@
+import { Input as BaseInput, type InputProps } from "@/components/ui/input";
+import { cn } from "@/lib/utils";
+import { Eye, EyeSlash } from "@phosphor-icons/react";
+import { ReactNode, useState } from "react";
+import { Text } from "../Text/Text";
+import { useInput } from "./useInput";
+
+export interface TextFieldProps extends Omit<InputProps, "size"> {
+  label: string;
+  id: string;
+  hideLabel?: boolean;
+  decimalCount?: number; // Only used for type="amount"
+  error?: string;
+  hint?: ReactNode;
+  size?: "small" | "medium";
+  wrapperClassName?: string;
+  type?:
+    | "text"
+    | "email"
+    | "password"
+    | "number"
+    | "amount"
+    | "tel"
+    | "url"
+    | "textarea";
+  // Textarea-specific props
+  rows?: number;
+}
+
+export function Input({
+  className,
+  label,
+  placeholder,
+  hideLabel = false,
+  decimalCount,
+  hint,
+  error,
+  size = "medium",
+  wrapperClassName,
+  ...props
+}: TextFieldProps) {
+  const { handleInputChange, handleTextareaChange } = useInput({
+    type: props.type,
+    onChange: props.onChange,
+    decimalCount,
+  });
+  const [showPassword, setShowPassword] = useState(false);
+
+  const isPasswordType = props.type === "password";
+  const inputType = showPassword ? "text" : props.type;
+
+  function handleMouseDown() {
+    setShowPassword(true);
+  }
+
+  function handleMouseUp() {
+    setShowPassword(false);
+  }
+
+  function handleMouseLeave() {
+    setShowPassword(false);
+  }
+
+  const baseStyles = cn(
+    // Base styles
+    "rounded-3xl border border-zinc-200 bg-white px-4 shadow-none",
+    "font-normal text-black",
+    "placeholder:font-normal placeholder:text-zinc-400",
+    // Focus and hover states
+    "focus:border-zinc-400 focus:shadow-none focus:outline-none focus:ring-1 focus:ring-zinc-400 focus:ring-offset-0",
+    className,
+  );
+
+  const errorStyles =
+    error && "!border !border-red-500 focus:border-red-500 focus:ring-red-500";
+
+  const renderInput = () => {
+    if (props.type === "textarea") {
+      return (
+        <textarea
+          className={cn(
+            baseStyles,
+            errorStyles,
+            "-mb-1 h-auto min-h-[2.875rem] w-full",
+            // Size variants for textarea
+            size === "small" && [
+              "min-h-[2.25rem]", // 36px minimum
+              "py-2",
+              "text-sm leading-[22px]",
+              "placeholder:text-sm placeholder:leading-[22px]",
+            ],
+            size === "medium" && [
+              "min-h-[2.875rem] text-sm leading-[22px]", // 46px minimum (current default)
+              "py-2.5",
+            ],
+          )}
+          placeholder={placeholder || label}
+          onChange={handleTextareaChange}
+          rows={props.rows || 3}
+          {...(hideLabel ? { "aria-label": label } : {})}
+          id={props.id}
+          disabled={props.disabled}
+          value={props.value}
+        />
+      );
+    }
+
+    return (
+      <BaseInput
+        className={cn(
+          baseStyles,
+          errorStyles,
+          // Add padding for password toggle button
+          isPasswordType && "pr-12",
+          // Size variants
+          size === "small" && [
+            "h-[2.25rem]", // 36px
+            "py-2",
+            "text-sm leading-[22px]", // 14px font, 22px line height
+            "placeholder:text-sm placeholder:leading-[22px]",
+          ],
+          size === "medium" && [
+            "h-[2.875rem]", // 46px (current default)
+            "py-2.5",
+          ],
+        )}
+        placeholder={placeholder || label}
+        onChange={handleInputChange}
+        {...(hideLabel ? { "aria-label": label } : {})}
+        {...props}
+        type={inputType}
+      />
+    );
+  };
+
+  const input = (
+    <div className={cn("relative", wrapperClassName)}>
+      {renderInput()}
+      {isPasswordType && (
+        <button
+          type="button"
+          onMouseDown={handleMouseDown}
+          onMouseUp={handleMouseUp}
+          onMouseLeave={handleMouseLeave}
+          className="absolute right-4 top-1/2 -translate-y-1/2 text-zinc-400 transition-colors hover:text-zinc-600"
+          aria-label="Press and hold to show password"
+        >
+          {showPassword ? <Eye size={16} /> : <EyeSlash size={16} />}
+        </button>
+      )}
+    </div>
+  );
+
+  const inputWithError = (
+    <div className={cn("relative mb-6", wrapperClassName)}>
+      {input}
+      <Text
+        variant="small-medium"
+        as="span"
+        className={cn(
+          "absolute left-0 top-full mt-1 !text-red-500 transition-opacity duration-200",
+          error ? "opacity-100" : "opacity-0",
+        )}
+      >
+        {error || " "}{" "}
+        {/* Always render with space to maintain consistent height calculation */}
+      </Text>
+    </div>
+  );
+
+  return hideLabel ? (
+    inputWithError
+  ) : (
+    <label htmlFor={props.id} className="flex flex-col gap-2">
+      <div className="flex items-center justify-between">
+        <Text variant="body-medium" as="span" className="text-black">
+          {label}
+        </Text>
+        {hint}
+      </div>
+      {inputWithError}
+    </label>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Input/helpers.ts b/autogpt_platform/frontend/src/components/atoms/Input/helpers.ts
new file mode 100644
index 000000000000..715c834c56bf
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Input/helpers.ts
@@ -0,0 +1,65 @@
+export const NUMBER_REGEX = /[^0-9.-]/g;
+export const PHONE_REGEX = /[^0-9\s()\+\[\]]/g;
+
+export function formatAmountWithCommas(value: string): string {
+  if (!value) return value;
+
+  const parts = value.split(".");
+  const integerPart = parts[0];
+  const decimalPart = parts[1];
+
+  // Add commas to integer part
+  const formattedInteger = integerPart.replace(/\B(?=(\d{3})+(?!\d))/g, ",");
+
+  // Check if there was a decimal point in the original value
+  if (value.includes(".")) {
+    return decimalPart
+      ? `${formattedInteger}.${decimalPart}`
+      : `${formattedInteger}.`;
+  }
+
+  return formattedInteger;
+}
+
+export function filterNumberInput(value: string): string {
+  let filteredValue = value;
+
+  // Remove all non-numeric characters except . and -
+  filteredValue = value.replace(NUMBER_REGEX, "");
+
+  // Handle multiple decimal points - keep only the first one
+  const parts = filteredValue.split(".");
+  if (parts.length > 2) {
+    filteredValue = parts[0] + "." + parts.slice(1).join("");
+  }
+
+  // Handle minus signs - only allow at the beginning
+  if (filteredValue.indexOf("-") > 0) {
+    const hadMinusAtStart = value.startsWith("-");
+    filteredValue = filteredValue.replace(/-/g, "");
+    if (hadMinusAtStart) {
+      filteredValue = "-" + filteredValue;
+    }
+  }
+
+  return filteredValue;
+}
+
+export function limitDecimalPlaces(
+  value: string,
+  decimalCount: number,
+): string {
+  const [integerPart, decimalPart] = value.split(".");
+  if (decimalPart && decimalPart.length > decimalCount) {
+    return `${integerPart}.${decimalPart.substring(0, decimalCount)}`;
+  }
+  return value;
+}
+
+export function filterPhoneInput(value: string): string {
+  return value.replace(PHONE_REGEX, "");
+}
+
+export function removeCommas(value: string): string {
+  return value.replace(/,/g, "");
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Input/useInput.ts b/autogpt_platform/frontend/src/components/atoms/Input/useInput.ts
new file mode 100644
index 000000000000..e5938f8e7842
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Input/useInput.ts
@@ -0,0 +1,82 @@
+import { InputProps } from "@/components/ui/input";
+import {
+  filterNumberInput,
+  filterPhoneInput,
+  formatAmountWithCommas,
+  limitDecimalPlaces,
+  removeCommas,
+} from "./helpers";
+
+interface ExtendedInputProps extends InputProps {
+  decimalCount?: number;
+  type?:
+    | "text"
+    | "email"
+    | "password"
+    | "number"
+    | "amount"
+    | "tel"
+    | "url"
+    | "textarea";
+}
+
+export function useInput(args: ExtendedInputProps) {
+  function handleInputChange(e: React.ChangeEvent<HTMLInputElement>) {
+    const { value } = e.target;
+    const decimalCount = args.decimalCount ?? 4;
+
+    let processedValue = value;
+
+    if (args.type === "number") {
+      // Basic number filtering - no decimal limiting
+      const filteredValue = filterNumberInput(value);
+      processedValue = filteredValue;
+    } else if (args.type === "amount") {
+      // Amount type with decimal limiting and comma formatting
+      const cleanValue = removeCommas(value);
+      let filteredValue = filterNumberInput(cleanValue);
+      filteredValue = limitDecimalPlaces(filteredValue, decimalCount);
+
+      const displayValue = formatAmountWithCommas(filteredValue);
+      e.target.value = displayValue;
+      processedValue = filteredValue; // Pass clean value to parent
+    } else if (args.type === "tel") {
+      processedValue = filterPhoneInput(value);
+    }
+
+    // Call onChange with processed value
+    if (args.onChange) {
+      // Only create synthetic event if we need to change the value
+      if (processedValue !== value || args.type === "amount") {
+        const syntheticEvent = {
+          ...e,
+          target: {
+            ...e.target,
+            value: processedValue,
+          },
+        } as React.ChangeEvent<HTMLInputElement>;
+
+        args.onChange(syntheticEvent);
+      } else {
+        args.onChange(e);
+      }
+    }
+  }
+
+  function handleTextareaChange(e: React.ChangeEvent<HTMLTextAreaElement>) {
+    if (args.onChange) {
+      // Create synthetic event with HTMLInputElement-like target for compatibility
+      const syntheticEvent = {
+        ...e,
+        target: {
+          ...e.target,
+          value: e.target.value,
+        },
+      } as unknown as React.ChangeEvent<HTMLInputElement>;
+
+      args.onChange(syntheticEvent);
+    }
+  }
+
+  return { handleInputChange, handleTextareaChange };
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/LLMItem/LLMItem.stories.tsx b/autogpt_platform/frontend/src/components/atoms/LLMItem/LLMItem.stories.tsx
new file mode 100644
index 000000000000..5ae95574e9d4
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/LLMItem/LLMItem.stories.tsx
@@ -0,0 +1,62 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { LLMItem } from "./LLMItem";
+
+const meta: Meta<typeof LLMItem> = {
+  title: "Atoms/LLMItem",
+  tags: ["autodocs"],
+  component: LLMItem,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "LLMItem component for displaying different LLM providers with their respective icons and names.",
+      },
+    },
+  },
+  argTypes: {
+    type: {
+      control: "select",
+      options: ["claude", "gpt", "perplexity"],
+      description: "LLM provider type",
+    },
+  },
+  args: {
+    type: "claude",
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+export const Claude: Story = {
+  args: {
+    type: "claude",
+  },
+};
+
+export const GPT: Story = {
+  args: {
+    type: "gpt",
+  },
+};
+
+export const Perplexity: Story = {
+  args: {
+    type: "perplexity",
+  },
+};
+
+export const AllVariants: Story = {
+  render: renderAllVariants,
+};
+
+function renderAllVariants() {
+  return (
+    <div className="flex flex-wrap gap-8">
+      <LLMItem type="claude" />
+      <LLMItem type="gpt" />
+      <LLMItem type="perplexity" />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/LLMItem/LLMItem.tsx b/autogpt_platform/frontend/src/components/atoms/LLMItem/LLMItem.tsx
new file mode 100644
index 000000000000..943ec90a3f02
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/LLMItem/LLMItem.tsx
@@ -0,0 +1,41 @@
+import Image from "next/image";
+import { Text } from "@/components/atoms/Text/Text";
+import claudeImg from "./assets/claude.svg";
+import gptImg from "./assets/gpt.svg";
+import perplexityImg from "./assets/perplexity.svg";
+
+type LLMType = "claude" | "gpt" | "perplexity";
+
+const llmTypeMap: Record<LLMType, { image: string; name: string }> = {
+  claude: {
+    image: claudeImg.src,
+    name: "Claude",
+  },
+  gpt: {
+    image: gptImg.src,
+    name: "GPT",
+  },
+  perplexity: {
+    image: perplexityImg.src,
+    name: "Perplexity",
+  },
+};
+
+type Props = {
+  type: LLMType;
+};
+
+export function LLMItem({ type }: Props) {
+  return (
+    <div className="flex flex-nowrap items-center gap-2">
+      <Image
+        src={llmTypeMap[type].image}
+        alt={llmTypeMap[type].name}
+        width={40}
+        height={40}
+        className="h-5 w-5 rounded-xsmall"
+      />
+      <Text variant="body">{llmTypeMap[type].name}</Text>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/LLMItem/assets/claude.svg b/autogpt_platform/frontend/src/components/atoms/LLMItem/assets/claude.svg
new file mode 100644
index 000000000000..b7b0e4df87d2
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/LLMItem/assets/claude.svg
@@ -0,0 +1,9 @@
+<svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+<rect width="20" height="20" rx="4" fill="url(#pattern0_190_6782)"/>
+<defs>
+<pattern id="pattern0_190_6782" patternContentUnits="objectBoundingBox" width="1" height="1">
+<use xlink:href="#image0_190_6782" transform="scale(0.0025)"/>
+</pattern>
+<image id="image0_190_6782" width="400" height="400" preserveAspectRatio="none" 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new file mode 100644
index 000000000000..4897e0458bcd
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new file mode 100644
index 000000000000..a10c7165273c
--- /dev/null
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"/>
+</defs>
+</svg>
diff --git a/autogpt_platform/frontend/src/components/atoms/Link/Link.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Link/Link.stories.tsx
new file mode 100644
index 000000000000..032dcfb72bd8
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Link/Link.stories.tsx
@@ -0,0 +1,123 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { ExternalLink } from "lucide-react";
+import { Link } from "./Link";
+
+const meta: Meta<typeof Link> = {
+  title: "Atoms/Link",
+  tags: ["autodocs"],
+  component: Link,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "Link component that wraps Next.js Link with consistent styling. Use `isExternal` prop for external links which automatically adds `target='_blank'` and `rel='noopener noreferrer'` for security.",
+      },
+    },
+  },
+  argTypes: {
+    href: {
+      control: "text",
+      description: "The URL or path to link to",
+    },
+    variant: {
+      control: "select",
+      options: ["primary", "secondary"],
+      description:
+        "Link style variant - primary shows underline on hover, secondary always shows underline",
+    },
+    isExternal: {
+      control: "boolean",
+      description: "Whether this is an external link (opens in new tab)",
+    },
+    children: {
+      control: "text",
+      description: "Link content",
+    },
+    className: {
+      control: "text",
+      description: "Additional CSS classes",
+    },
+  },
+  args: {
+    href: "/example",
+    children: "Add to library",
+    variant: "primary",
+    isExternal: false,
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+// Primary variant (default - underline on hover)
+export const Primary: Story = {
+  args: {
+    href: "/library",
+    children: "Add to library",
+    variant: "primary",
+    isExternal: false,
+  },
+};
+
+// Secondary variant (always underlined)
+export const Secondary: Story = {
+  args: {
+    href: "/library",
+    children: "Add to library",
+    variant: "secondary",
+    isExternal: false,
+  },
+};
+
+// Basic internal link
+export const Internal: Story = {
+  args: {
+    href: "/library",
+    children: "Add to library",
+    isExternal: false,
+  },
+};
+
+// External link
+export const External: Story = {
+  args: {
+    href: "https://github.com/Significant-Gravitas/AutoGPT",
+    children: "View on GitHub",
+    isExternal: true,
+  },
+};
+
+// Link with icon
+export const WithIcon: Story = {
+  args: {
+    href: "https://docs.autogpt.net",
+    children: (
+      <span className="inline-flex items-center gap-1">
+        Documentation <ExternalLink className="h-3 w-3" />
+      </span>
+    ),
+    isExternal: true,
+  },
+};
+
+// Variant comparison
+export const AllVariants: Story = {
+  render: renderVariantComparison,
+};
+
+// Render functions as function declarations
+function renderVariantComparison() {
+  return (
+    <div className="space-y-4">
+      <div className="flex flex-wrap gap-4">
+        <Link href="/dashboard" variant="primary">
+          Primary link
+        </Link>
+        <Link href="/settings" variant="secondary">
+          Secondary link
+        </Link>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Link/Link.tsx b/autogpt_platform/frontend/src/components/atoms/Link/Link.tsx
new file mode 100644
index 000000000000..6256a944bbb0
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Link/Link.tsx
@@ -0,0 +1,57 @@
+import { cn } from "@/lib/utils";
+import NextLink from "next/link";
+import { forwardRef } from "react";
+
+interface LinkProps {
+  href: string;
+  children: React.ReactNode;
+  className?: string;
+  isExternal?: boolean;
+  variant?: "primary" | "secondary";
+}
+
+const Link = forwardRef<HTMLAnchorElement, LinkProps>(function Link(
+  {
+    href,
+    children,
+    className,
+    isExternal = false,
+    variant = "primary",
+    ...props
+  },
+  ref,
+) {
+  const linkClasses = cn(
+    // Base styles from Figma
+    "font-sans text-sm font-medium leading-[22px] text-[var(--AutoGPT-Text-text-black,#141414)]",
+    // Variant-specific underline styles
+    variant === "primary" && "hover:underline",
+    variant === "secondary" && "underline",
+    // Focus state for accessibility
+    "focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-offset-2 rounded-sm",
+    className,
+  );
+
+  if (isExternal) {
+    return (
+      <a
+        ref={ref}
+        href={href}
+        target="_blank"
+        rel="noopener noreferrer"
+        className={linkClasses}
+        {...props}
+      >
+        {children}
+      </a>
+    );
+  }
+
+  return (
+    <NextLink ref={ref} href={href} className={linkClasses} {...props}>
+      {children}
+    </NextLink>
+  );
+});
+
+export { Link };
diff --git a/autogpt_platform/frontend/src/components/atoms/Select/Select.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Select/Select.stories.tsx
new file mode 100644
index 000000000000..510978c9d265
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Select/Select.stories.tsx
@@ -0,0 +1,225 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Select } from "./Select";
+
+const meta: Meta<typeof Select> = {
+  title: "Atoms/Select",
+  tags: ["autodocs"],
+  component: Select,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "Select component based on our design system. Built on top of shadcn/ui select with custom styling matching Figma designs and consistent with the Input component.",
+      },
+    },
+  },
+  argTypes: {
+    placeholder: {
+      control: "text",
+      description: "Placeholder text",
+    },
+    value: {
+      control: "text",
+      description: "The selected value",
+    },
+    label: {
+      control: "text",
+      description:
+        "Label text (used as placeholder if no placeholder provided)",
+    },
+    disabled: {
+      control: "boolean",
+      description: "Disable the select",
+    },
+    hideLabel: {
+      control: "boolean",
+      description: "Hide the label",
+    },
+    error: {
+      control: "text",
+      description: "Error message to display below the select",
+    },
+    options: {
+      control: "object",
+      description: "Array of options with value and label properties",
+    },
+  },
+  args: {
+    placeholder: "Select an option...",
+    value: "",
+    disabled: false,
+    hideLabel: false,
+    options: [
+      { value: "option1", label: "Option 1" },
+      { value: "option2", label: "Option 2" },
+      { value: "option3", label: "Option 3" },
+    ],
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+// Basic variants
+export const Default: Story = {
+  args: {
+    label: "Country",
+    placeholder: "Select a country",
+    options: [
+      { value: "us", label: "United States" },
+      { value: "ca", label: "Canada" },
+      { value: "uk", label: "United Kingdom" },
+      { value: "de", label: "Germany" },
+      { value: "fr", label: "France" },
+    ],
+  },
+};
+
+export const WithValue: Story = {
+  args: {
+    label: "Country",
+    placeholder: "Select a country",
+    value: "us",
+    options: [
+      { value: "us", label: "United States" },
+      { value: "ca", label: "Canada" },
+      { value: "uk", label: "United Kingdom" },
+      { value: "de", label: "Germany" },
+      { value: "fr", label: "France" },
+    ],
+  },
+};
+
+export const WithoutLabel: Story = {
+  args: {
+    label: "Country",
+    hideLabel: true,
+    placeholder: "Select a country",
+    options: [
+      { value: "us", label: "United States" },
+      { value: "ca", label: "Canada" },
+      { value: "uk", label: "United Kingdom" },
+      { value: "de", label: "Germany" },
+      { value: "fr", label: "France" },
+    ],
+  },
+};
+
+export const Disabled: Story = {
+  args: {
+    label: "Country",
+    placeholder: "Select a country",
+    disabled: true,
+    options: [
+      { value: "us", label: "United States" },
+      { value: "ca", label: "Canada" },
+      { value: "uk", label: "United Kingdom" },
+      { value: "de", label: "Germany" },
+      { value: "fr", label: "France" },
+    ],
+  },
+};
+
+export const WithError: Story = {
+  args: {
+    label: "Country",
+    placeholder: "Select a country",
+    error: "Please select a valid country",
+    options: [
+      { value: "us", label: "United States" },
+      { value: "ca", label: "Canada" },
+      { value: "uk", label: "United Kingdom" },
+      { value: "de", label: "Germany" },
+      { value: "fr", label: "France" },
+    ],
+  },
+};
+
+export const ManyOptions: Story = {
+  args: {
+    label: "Programming Language",
+    placeholder: "Select a programming language",
+    options: [
+      { value: "javascript", label: "JavaScript" },
+      { value: "typescript", label: "TypeScript" },
+      { value: "python", label: "Python" },
+      { value: "java", label: "Java" },
+      { value: "csharp", label: "C#" },
+      { value: "cpp", label: "C++" },
+      { value: "rust", label: "Rust" },
+      { value: "go", label: "Go" },
+      { value: "php", label: "PHP" },
+      { value: "ruby", label: "Ruby" },
+      { value: "swift", label: "Swift" },
+      { value: "kotlin", label: "Kotlin" },
+    ],
+  },
+};
+
+export const AllVariants: Story = {
+  render: renderAllVariants,
+  parameters: {
+    controls: {
+      disable: true,
+    },
+    docs: {
+      description: {
+        story: "Complete showcase of all Select component variants and states.",
+      },
+    },
+  },
+};
+
+function renderAllVariants() {
+  const options = [
+    { value: "us", label: "United States" },
+    { value: "ca", label: "Canada" },
+    { value: "uk", label: "United Kingdom" },
+    { value: "de", label: "Germany" },
+    { value: "fr", label: "France" },
+  ];
+
+  return (
+    <div className="w-full max-w-md space-y-8">
+      <Select
+        label="Default Select"
+        placeholder="Select a country"
+        id="default"
+        options={options}
+      />
+
+      <Select
+        label="With Selected Value"
+        placeholder="Select a country"
+        value="us"
+        id="with-value"
+        options={options}
+      />
+
+      <Select
+        label="Hidden Label"
+        hideLabel={true}
+        placeholder="Select a country"
+        id="hidden-label"
+        options={options}
+      />
+
+      <Select
+        label="Disabled Select"
+        placeholder="Select a country"
+        disabled={true}
+        id="disabled"
+        options={options}
+      />
+
+      <Select
+        label="With Error"
+        placeholder="Select a country"
+        error="Please select a valid country"
+        id="with-error"
+        options={options}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Select/Select.tsx b/autogpt_platform/frontend/src/components/atoms/Select/Select.tsx
new file mode 100644
index 000000000000..77b3097872f8
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Select/Select.tsx
@@ -0,0 +1,111 @@
+"use client";
+
+import * as React from "react";
+import {
+  Select as BaseSelect,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { cn } from "@/lib/utils";
+import { ReactNode } from "react";
+import { Text } from "../Text/Text";
+
+export interface SelectOption {
+  value: string;
+  label: string;
+}
+
+export interface SelectFieldProps {
+  label: string;
+  id: string;
+  hideLabel?: boolean;
+  error?: string;
+  hint?: ReactNode;
+  placeholder?: string;
+  className?: string;
+  disabled?: boolean;
+  value?: string;
+  onValueChange?: (value: string) => void;
+  options: SelectOption[];
+}
+
+export function Select({
+  className,
+  label,
+  placeholder,
+  hideLabel = false,
+  hint,
+  error,
+  id,
+  disabled,
+  value,
+  onValueChange,
+  options,
+}: SelectFieldProps) {
+  const triggerStyles = cn(
+    // Override the default select styles with Figma design matching Input
+    "h-[2.875rem] rounded-3xl border border-zinc-200 bg-white px-4 py-2.5 shadow-none",
+    "font-normal text-black text-sm w-full",
+    "placeholder:font-normal !placeholder:text-zinc-400",
+    // Focus and hover states
+    "focus:border-zinc-400 focus:shadow-none focus:outline-none focus:ring-1 focus:ring-zinc-400 focus:ring-offset-0",
+    // Error state
+    error &&
+      "border-1.5 border-red-500 focus:border-red-500 focus:ring-red-500",
+    // Placeholder styling for SelectValue when data-placeholder is present
+    "[&[data-placeholder]>span]:text-zinc-400 [&[data-placeholder]>span]:font-normal",
+    className,
+  );
+
+  const select = (
+    <BaseSelect value={value} onValueChange={onValueChange} disabled={disabled}>
+      <SelectTrigger
+        className={triggerStyles}
+        {...(hideLabel ? { "aria-label": label } : {})}
+        id={id}
+      >
+        <SelectValue placeholder={placeholder || label} />
+      </SelectTrigger>
+      <SelectContent>
+        {options.map((option) => (
+          <SelectItem key={option.value} value={option.value}>
+            {option.label}
+          </SelectItem>
+        ))}
+      </SelectContent>
+    </BaseSelect>
+  );
+
+  const selectWithError = (
+    <div className="relative mb-6">
+      {select}
+      <Text
+        variant="small-medium"
+        as="span"
+        className={cn(
+          "absolute left-0 top-full mt-1 !text-red-500 transition-opacity duration-200",
+          error ? "opacity-100" : "opacity-0",
+        )}
+      >
+        {error || " "}{" "}
+        {/* Always render with space to maintain consistent height calculation */}
+      </Text>
+    </div>
+  );
+
+  return hideLabel ? (
+    selectWithError
+  ) : (
+    <label htmlFor={id} className="flex flex-col gap-2">
+      <div className="flex items-center justify-between">
+        <Text variant="body-medium" as="span" className="text-black">
+          {label}
+        </Text>
+        {hint}
+      </div>
+      {selectWithError}
+    </label>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Skeleton/skeleton.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Skeleton/skeleton.stories.tsx
new file mode 100644
index 000000000000..c686871fb7ce
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Skeleton/skeleton.stories.tsx
@@ -0,0 +1,199 @@
+import { Skeleton } from "@/components/ui/skeleton";
+import type { Meta, StoryObj } from "@storybook/nextjs";
+
+const meta: Meta<typeof Skeleton> = {
+  title: "Atoms/Skeleton",
+  tags: ["autodocs"],
+  component: Skeleton,
+  parameters: {
+    layout: "padded",
+    docs: {
+      description: {
+        component:
+          "Skeleton component for loading states. Use these patterns to show users that content is being loaded, providing a better perceived performance and user experience.",
+      },
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+// Basic skeleton
+export const Default: Story = {
+  render: () => <Skeleton className="h-4 w-48" />,
+};
+
+// Text loading patterns
+export const TextLines: Story = {
+  render: renderTextLines,
+};
+
+export const Paragraph: Story = {
+  render: renderParagraph,
+};
+
+// Card loading pattern
+export const Card: Story = {
+  render: renderCard,
+};
+
+// Profile/Avatar pattern
+export const Profile: Story = {
+  render: renderProfile,
+};
+
+// List items pattern
+export const ListItems: Story = {
+  render: renderListItems,
+};
+
+// Table loading pattern
+export const Table: Story = {
+  render: renderTable,
+};
+
+// Complete dashboard loading example
+export const Dashboard: Story = {
+  render: renderDashboard,
+};
+
+// Render functions as function declarations
+function renderTextLines() {
+  return (
+    <div className="space-y-2">
+      <Skeleton className="h-4 w-full" />
+      <Skeleton className="h-4 w-3/4" />
+      <Skeleton className="h-4 w-1/2" />
+    </div>
+  );
+}
+
+function renderParagraph() {
+  return (
+    <div className="space-y-3">
+      <Skeleton className="h-6 w-1/3" />
+      <div className="space-y-2">
+        <Skeleton className="h-4 w-full" />
+        <Skeleton className="h-4 w-full" />
+        <Skeleton className="h-4 w-2/3" />
+      </div>
+    </div>
+  );
+}
+
+function renderCard() {
+  return (
+    <div className="w-80 space-y-4 rounded-lg border p-6">
+      <div className="flex items-center space-x-4">
+        <Skeleton className="h-12 w-12 rounded-full" />
+        <div className="space-y-2">
+          <Skeleton className="h-4 w-32" />
+          <Skeleton className="h-3 w-24" />
+        </div>
+      </div>
+      <div className="space-y-2">
+        <Skeleton className="h-4 w-full" />
+        <Skeleton className="h-4 w-3/4" />
+      </div>
+      <Skeleton className="h-10 w-full rounded-md" />
+    </div>
+  );
+}
+
+function renderProfile() {
+  return (
+    <div className="flex items-center space-x-4">
+      <Skeleton className="h-16 w-16 rounded-full" />
+      <div className="space-y-2">
+        <Skeleton className="h-5 w-48" />
+        <Skeleton className="h-4 w-32" />
+        <Skeleton className="h-3 w-24" />
+      </div>
+    </div>
+  );
+}
+
+function renderListItems() {
+  return (
+    <div className="space-y-4">
+      {Array.from({ length: 5 }).map((_, i) => (
+        <div key={i} className="flex items-center space-x-3">
+          <Skeleton className="h-10 w-10 rounded-md" />
+          <div className="flex-1 space-y-2">
+            <Skeleton className="h-4 w-1/3" />
+            <Skeleton className="h-3 w-1/2" />
+          </div>
+          <Skeleton className="h-8 w-16 rounded-md" />
+        </div>
+      ))}
+    </div>
+  );
+}
+
+function renderTable() {
+  return (
+    <div className="w-full space-y-3">
+      {/* Table header */}
+      <div className="flex space-x-4">
+        {Array.from({ length: 4 }).map((_, i) => (
+          <Skeleton key={i} className="h-5 flex-1" />
+        ))}
+      </div>
+      {/* Table rows */}
+      {Array.from({ length: 6 }).map((_, i) => (
+        <div key={i} className="flex space-x-4">
+          {Array.from({ length: 4 }).map((_, j) => (
+            <Skeleton key={j} className="h-4 flex-1" />
+          ))}
+        </div>
+      ))}
+    </div>
+  );
+}
+
+function renderDashboard() {
+  return (
+    <div className="space-y-8 p-6">
+      {/* Header */}
+      <div className="flex items-center justify-between">
+        <Skeleton className="h-8 w-48" />
+        <Skeleton className="h-10 w-32 rounded-md" />
+      </div>
+
+      {/* Stats cards */}
+      <div className="grid grid-cols-1 gap-6 md:grid-cols-3">
+        {Array.from({ length: 3 }).map((_, i) => (
+          <div key={i} className="space-y-3 rounded-lg border p-6">
+            <Skeleton className="h-4 w-24" />
+            <Skeleton className="h-8 w-16" />
+            <Skeleton className="h-3 w-32" />
+          </div>
+        ))}
+      </div>
+
+      {/* Chart area */}
+      <div className="rounded-lg border p-6">
+        <div className="space-y-4">
+          <Skeleton className="h-6 w-32" />
+          <Skeleton className="h-64 w-full rounded-md" />
+        </div>
+      </div>
+
+      {/* Recent activity */}
+      <div className="space-y-4">
+        <Skeleton className="h-6 w-40" />
+        {Array.from({ length: 4 }).map((_, i) => (
+          <div key={i} className="flex items-center space-x-4 border-b pb-3">
+            <Skeleton className="h-8 w-8 rounded-full" />
+            <div className="flex-1 space-y-2">
+              <Skeleton className="h-4 w-2/3" />
+              <Skeleton className="h-3 w-1/3" />
+            </div>
+            <Skeleton className="h-3 w-16" />
+          </div>
+        ))}
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Text/Text.stories.tsx b/autogpt_platform/frontend/src/components/atoms/Text/Text.stories.tsx
new file mode 100644
index 000000000000..b8f2cb72facb
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Text/Text.stories.tsx
@@ -0,0 +1,166 @@
+import { StoryCode } from "@/components/tokens/helpers/StoryCode";
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Text, textVariants } from "./Text";
+
+const meta: Meta<typeof Text> = {
+  title: "Atoms/Text",
+  component: Text,
+  tags: ["autodocs"],
+  parameters: {
+    layout: "fullscreen",
+    controls: { hideNoControlsWarning: true },
+    docs: {
+      description: {
+        component:
+          "A flexible Text component that supports all typography variants from our design system. Uses Poppins for headings and Geist Sans for body text.",
+      },
+      source: {
+        state: "open",
+      },
+    },
+  },
+  argTypes: {
+    variant: {
+      control: { type: "select" },
+      options: textVariants,
+      description: "Typography variant to apply",
+    },
+    as: {
+      control: { type: "select" },
+      options: ["h1", "h2", "h3", "h4", "h5", "h6", "p", "span", "div", "code"],
+      description: "HTML element to render as",
+    },
+    children: {
+      control: "text",
+      description: "Text content",
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof Text>;
+
+//=============================================================================
+// All Variants Overview
+//=============================================================================
+export function AllVariants() {
+  return (
+    <div className="space-y-8">
+      {/* Headings */}
+      <div className="mb-19 mb-20 space-y-6">
+        <h2 className="mb-4 border-b border-border pb-2 text-xl text-zinc-500">
+          Headings
+        </h2>
+        <Text variant="h1">Heading 1</Text>
+        <Text variant="h2">Heading 2</Text>
+        <Text variant="h3">Heading 3</Text>
+        <Text variant="h4">Heading 4</Text>
+        <StoryCode
+          code={`<Text variant="h1">Heading 1</Text>
+<Text variant="h2">Heading 2</Text>
+<Text variant="h3">Heading 3</Text>
+<Text variant="h4">Heading 4</Text>`}
+        />
+      </div>
+      {/* Body Text */}
+      <h2 className="mb-4 border-b border-border pb-2 text-xl text-zinc-500">
+        Body Text
+      </h2>
+      <Text variant="lead">Lead</Text>
+      <StoryCode code={`<Text variant="lead">Lead</Text>`} />
+      <div className="flex flex-row gap-8">
+        <Text variant="large">Large</Text>
+        <Text variant="large-medium">Large Medium</Text>
+        <Text variant="large-semibold">Large Semibold</Text>
+      </div>
+      <StoryCode
+        code={`<Text variant="large">Large</Text>
+<Text variant="large-medium">Large Medium</Text>
+<Text variant="large-semibold">Large Semibold</Text>`}
+      />
+      <div className="flex flex-row gap-8">
+        <Text variant="body">Body</Text>
+        <Text variant="body-medium">Body Medium</Text>
+      </div>
+      <StoryCode
+        code={`<Text variant="body">Body</Text>
+<Text variant="body-medium">Body Medium</Text>`}
+      />
+      <div className="flex flex-row gap-8">
+        <Text variant="small">Small</Text>
+        <Text variant="small-medium">Small Medium</Text>
+      </div>
+      <StoryCode
+        code={`<Text variant="small">Small</Text>
+<Text variant="small-medium">Small Medium</Text>`}
+      />
+    </div>
+  );
+}
+
+//=============================================================================
+// Headings Only
+//=============================================================================
+export function Headings() {
+  return (
+    <div className="space-y-8">
+      <Text variant="h1">Heading 1</Text>
+      <Text variant="h2">Heading 2</Text>
+      <Text variant="h3">Heading 3</Text>
+      <Text variant="h4">Heading 4</Text>
+    </div>
+  );
+}
+
+//=============================================================================
+// Body Text Only
+//=============================================================================
+export function BodyText() {
+  return (
+    <div className="space-y-8">
+      <Text variant="lead">Lead</Text>
+      <Text variant="large">Large</Text>
+      <Text variant="large-medium">Large Medium</Text>
+      <Text variant="large-semibold">Large Semibold</Text>
+      <Text variant="body">Body</Text>
+      <Text variant="body-medium">Body Medium</Text>
+      <Text variant="small">Small</Text>
+      <Text variant="small-medium">Small Medium</Text>
+    </div>
+  );
+}
+
+//=============================================================================
+// Interactive Playground
+//=============================================================================
+export const Playground: Story = {
+  args: {
+    variant: "body",
+    children:
+      "Edit this text and try different variants via the controls below",
+  },
+  parameters: {
+    controls: { include: ["variant", "as", "children"] },
+  },
+  render: (args) => (
+    <div className="space-y-8">
+      <Text {...args} />
+    </div>
+  ),
+};
+
+//=============================================================================
+// Custom Element
+//=============================================================================
+export function CustomElement() {
+  return (
+    <div className="space-y-8">
+      <Text variant="h3" as="div">
+        H3 size rendered as div
+      </Text>
+      <Text variant="body" as="h2">
+        Body size rendered as h2
+      </Text>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/atoms/Text/Text.tsx b/autogpt_platform/frontend/src/components/atoms/Text/Text.tsx
new file mode 100644
index 000000000000..8bae184e5b64
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Text/Text.tsx
@@ -0,0 +1,39 @@
+import React from "react";
+import { As, Variant, variantElementMap, variants } from "./helpers";
+
+type CustomProps = {
+  variant: Variant;
+  as?: As;
+  size?: Variant;
+  className?: string;
+};
+
+export type TextProps = React.PropsWithChildren<
+  CustomProps & React.ComponentPropsWithoutRef<"p">
+>;
+
+export function Text({
+  children,
+  variant,
+  as: outerAs,
+  size,
+  className = "",
+  ...rest
+}: TextProps) {
+  const variantClasses = variants[size || variant] || variants.body;
+  const Element = outerAs || variantElementMap[variant];
+  const combinedClassName = `${variantClasses} ${className}`.trim();
+
+  return React.createElement(
+    Element,
+    {
+      className: combinedClassName,
+      ...rest,
+    },
+    children,
+  );
+}
+
+// Export variant names for use in stories
+export const textVariants = Object.keys(variants) as Variant[];
+export type TextVariant = Variant;
diff --git a/autogpt_platform/frontend/src/components/atoms/Text/helpers.ts b/autogpt_platform/frontend/src/components/atoms/Text/helpers.ts
new file mode 100644
index 000000000000..25edc6ed5199
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/atoms/Text/helpers.ts
@@ -0,0 +1,52 @@
+export type As =
+  | "h1"
+  | "h2"
+  | "h3"
+  | "h4"
+  | "h5"
+  | "h6"
+  | "p"
+  | "span"
+  | "div"
+  | "code"
+  | "label"
+  | "kbd";
+
+export const variants = {
+  // Headings
+  h1: "font-poppins text-[2.75rem] font-semibold leading-[3.5rem] text-zinc-800",
+  h2: "font-poppins text-[2.25rem] font-normal leading-[3.25rem] text-zinc-800",
+  h3: "font-poppins text-[1.75rem] font-medium leading-[2.5rem] text-zinc-800",
+  h4: "font-poppins text-[1rem] font-medium leading-[1.5rem] text-zinc-800",
+
+  // Body Text
+  lead: "font-sans text-[1.25rem] font-normal leading-[2rem] text-zinc-800",
+  large: "font-sans text-[1rem] font-normal leading-[1.5rem] text-zinc-800",
+  "large-medium":
+    "font-sans text-[1rem] font-medium leading-[1.5rem] text-zinc-800",
+  "large-semibold":
+    "font-sans text-[1rem] font-semibold leading-[1.5rem] text-zinc-800",
+  body: "font-sans text-[0.875rem] font-normal leading-[1.375rem] text-zinc-800",
+  "body-medium": "font-sans text-sm font-medium leading-snug text-zinc-800",
+  small:
+    "font-sans text-[0.75rem] font-normal leading-[1.125rem] text-zinc-800",
+  "small-medium":
+    "font-sans text-[0.75rem] font-medium leading-[1.125rem] text-zinc-800",
+} as const;
+
+export type Variant = keyof typeof variants;
+
+export const variantElementMap: Record<Variant, As> = {
+  h1: "h1",
+  h2: "h2",
+  h3: "h3",
+  h4: "h4",
+  lead: "p",
+  large: "p",
+  "large-medium": "p",
+  "large-semibold": "p",
+  body: "p",
+  "body-medium": "p",
+  small: "p",
+  "small-medium": "p",
+};
diff --git a/autogpt_platform/frontend/src/components/auth/AuthCard.tsx b/autogpt_platform/frontend/src/components/auth/AuthCard.tsx
new file mode 100644
index 000000000000..8c3d013e4709
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/auth/AuthCard.tsx
@@ -0,0 +1,52 @@
+import { cn } from "@/lib/utils";
+import { ReactNode } from "react";
+import { Card } from "../atoms/Card/Card";
+import { Link } from "../atoms/Link/Link";
+import { Text } from "../atoms/Text/Text";
+
+interface BottomTextProps {
+  text: string;
+  link?: { text: string; href: string };
+  className?: string;
+}
+
+AuthCard.BottomText = function BottomText({
+  text,
+  link,
+  className,
+}: BottomTextProps) {
+  return (
+    <div
+      className={cn(
+        className,
+        "mt-4 inline-flex w-full items-center justify-center gap-1",
+      )}
+    >
+      <Text variant="body-medium" className="text-slate-950">
+        {text}
+      </Text>
+      {link ? (
+        <Link href={link.href} variant="secondary">
+          {link.text}
+        </Link>
+      ) : null}
+    </div>
+  );
+};
+
+interface Props {
+  children: ReactNode;
+  title: string;
+  className?: string;
+}
+
+export function AuthCard({ children, title }: Props) {
+  return (
+    <Card className="mx-auto flex min-h-[40vh] w-full max-w-[32rem] flex-col items-center justify-center gap-8">
+      <Text variant="h3" as="h2" className="mb-3">
+        {title}
+      </Text>
+      {children}
+    </Card>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/auth/AuthFeedback.tsx b/autogpt_platform/frontend/src/components/auth/AuthFeedback.tsx
new file mode 100644
index 000000000000..9388ecb9b6b3
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/auth/AuthFeedback.tsx
@@ -0,0 +1,123 @@
+import { HelpItem } from "@/components/auth/help-item";
+import { Card, CardContent } from "@/components/ui/card";
+import { BehaveAs } from "@/lib/utils";
+import { AlertCircle, CheckCircle } from "lucide-react";
+
+interface Props {
+  type: "login" | "signup";
+  message?: string | null;
+  isError?: boolean;
+  behaveAs?: BehaveAs;
+}
+
+export default function AuthFeedback({
+  type,
+  message = "",
+  isError = false,
+  behaveAs = BehaveAs.CLOUD,
+}: Props) {
+  const displayMessage =
+    message || (isError ? "Something went wrong. Please try again." : "");
+
+  const isCloudMode = behaveAs === BehaveAs.CLOUD;
+  const isLocalMode = behaveAs === BehaveAs.LOCAL;
+  const showCloudHelp = isError && isCloudMode;
+  const showLocalHelp = isError && isLocalMode;
+  const isSignupFlow = type === "signup";
+  const hasAnyHelpContent = showCloudHelp || showLocalHelp;
+
+  const hasContent = displayMessage || hasAnyHelpContent;
+
+  if (!hasContent) {
+    return null;
+  }
+
+  return (
+    <div className="mt-4 w-full space-y-4">
+      {/* Message feedback */}
+      {displayMessage && (
+        <div className="text-center text-sm font-medium leading-normal">
+          {isError ? (
+            <div className="flex items-center justify-center space-x-2 text-red-500">
+              <AlertCircle className="h-4 w-4" />
+              <span>{displayMessage}</span>
+            </div>
+          ) : (
+            <div className="flex items-center justify-center space-x-2 text-green-600">
+              <CheckCircle className="h-4 w-4" />
+              <span>{displayMessage}</span>
+            </div>
+          )}
+        </div>
+      )}
+
+      {/* Cloud-specific help */}
+      {showCloudHelp &&
+        (isSignupFlow ? (
+          <Card className="overflow-hidden rounded-lg border border-slate-200 bg-white shadow-sm">
+            <CardContent className="p-0">
+              <div className="divide-y divide-slate-100">
+                <span className="my-3 block text-center text-sm font-medium text-red-500">
+                  The provided email may not be allowed to sign up.
+                </span>
+                <HelpItem
+                  title="AutoGPT Platform is currently in closed beta. "
+                  description="You can join "
+                  linkText="the waitlist here"
+                  href="https://agpt.co/waitlist"
+                />
+                <HelpItem title="Make sure you use the same email address you used to sign up for the waitlist." />
+                <HelpItem
+                  title="You can self host the platform!"
+                  description="Visit our"
+                  linkText="GitHub repository"
+                  href="https://github.com/Significant-Gravitas/AutoGPT"
+                />
+              </div>
+            </CardContent>
+          </Card>
+        ) : (
+          <Card className="overflow-hidden rounded-lg border border-slate-200 bg-white shadow-sm">
+            <CardContent className="p-0">
+              <div className="divide-y divide-slate-100">
+                <HelpItem
+                  title="Having trouble logging in?"
+                  description="Make sure you've already "
+                  linkText="signed up"
+                  href="/signup"
+                />
+              </div>
+            </CardContent>
+          </Card>
+        ))}
+
+      {/* Local-specific help */}
+      {showLocalHelp && (
+        <Card className="w-full overflow-hidden rounded-lg border border-slate-200 bg-white shadow-sm">
+          <div className="w-full divide-y divide-slate-100">
+            <HelpItem
+              title="Having trouble getting AutoGPT running locally?"
+              description="Ask for help on our"
+              linkText="Discord"
+              href="https://discord.gg/autogpt"
+            />
+
+            <HelpItem
+              title="Think you've found a bug?"
+              description="Open an issue on our"
+              linkText="GitHub"
+              href="https://github.com/Significant-Gravitas/AutoGPT"
+            />
+
+            <HelpItem
+              title="Interested in the cloud-hosted version?"
+              description="Join our"
+              linkText="waitlist here"
+              href="https://agpt.co/waitlist"
+            />
+          </div>
+        </Card>
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/auth/EmailNotAllowedModal.tsx b/autogpt_platform/frontend/src/components/auth/EmailNotAllowedModal.tsx
new file mode 100644
index 000000000000..adb7b7420858
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/auth/EmailNotAllowedModal.tsx
@@ -0,0 +1,33 @@
+import { Button } from "../atoms/Button/Button";
+import { Text } from "../atoms/Text/Text";
+import { Dialog } from "../molecules/Dialog/Dialog";
+
+interface Props {
+  isOpen: boolean;
+  onClose: () => void;
+}
+
+export function EmailNotAllowedModal({ isOpen, onClose }: Props) {
+  return (
+    <Dialog
+      controlled={{ isOpen, set: onClose }}
+      styling={{ maxWidth: "35rem" }}
+    >
+      <Dialog.Content>
+        <div className="flex flex-col items-center gap-8 py-4">
+          <Text variant="h3">Access Restricted</Text>
+          <Text variant="large-medium" className="text-center">
+            We&apos;re currently in a limited access phase. Your email address
+            isn&apos;t on our current allowlist for early access. If you believe
+            this is an error or would like to request access, please contact us.
+          </Text>
+          <div className="flex justify-end pt-4">
+            <Button variant="primary" onClick={onClose}>
+              I understand
+            </Button>
+          </div>
+        </div>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/auth/GoogleOAuthButton.tsx b/autogpt_platform/frontend/src/components/auth/GoogleOAuthButton.tsx
new file mode 100644
index 000000000000..834bdc8ab9b7
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/auth/GoogleOAuthButton.tsx
@@ -0,0 +1,28 @@
+import Image from "next/image";
+import { Button } from "../atoms/Button/Button";
+
+interface GoogleOAuthButtonProps {
+  onClick: () => void;
+  isLoading?: boolean;
+  disabled?: boolean;
+}
+
+export function GoogleOAuthButton({
+  onClick,
+  isLoading,
+  disabled,
+}: GoogleOAuthButtonProps) {
+  return (
+    <Button
+      type="button"
+      variant="secondary"
+      className="w-full gap-3"
+      onClick={onClick}
+      disabled={disabled}
+      loading={isLoading}
+    >
+      <Image src="/google-logo.svg" alt="Google" width={20} height={20} />
+      {isLoading ? "Connecting..." : "Continue with Google"}
+    </Button>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/PasswordInput.tsx b/autogpt_platform/frontend/src/components/auth/PasswordInput.tsx
similarity index 88%
rename from autogpt_platform/frontend/src/components/PasswordInput.tsx
rename to autogpt_platform/frontend/src/components/auth/PasswordInput.tsx
index 0b27b970aa16..8bafe0641d1f 100644
--- a/autogpt_platform/frontend/src/components/PasswordInput.tsx
+++ b/autogpt_platform/frontend/src/components/auth/PasswordInput.tsx
@@ -16,6 +16,7 @@ const PasswordInput = forwardRef<HTMLInputElement, InputProps>(
           type={showPassword ? "text" : "password"}
           className={cn("hide-password-toggle pr-10", className)}
           ref={ref}
+          title="password"
           {...props}
         />
         <Button
@@ -23,8 +24,11 @@ const PasswordInput = forwardRef<HTMLInputElement, InputProps>(
           variant="ghost"
           size="sm"
           className="absolute right-0 top-0 h-full px-3 py-2 hover:bg-transparent"
-          onClick={() => setShowPassword((prev) => !prev)}
+          onMouseDown={() => setShowPassword(true)}
+          onMouseUp={() => setShowPassword(false)}
+          onMouseLeave={() => setShowPassword(false)}
           disabled={disabled}
+          tabIndex={-1}
         >
           {showPassword && !disabled ? (
             <EyeIcon className="h-4 w-4" aria-hidden="true" />
diff --git a/autogpt_platform/frontend/src/components/auth/Turnstile.tsx b/autogpt_platform/frontend/src/components/auth/Turnstile.tsx
new file mode 100644
index 000000000000..8f1cecaee5db
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/auth/Turnstile.tsx
@@ -0,0 +1,164 @@
+"use client";
+import { cn } from "@/lib/utils";
+import { isServerSide } from "@/lib/utils/is-server-side";
+import { useEffect, useRef, useState } from "react";
+
+export interface TurnstileProps {
+  siteKey: string;
+  onVerify: (token: string) => void;
+  onExpire?: () => void;
+  onError?: (error: Error) => void;
+  action?: string;
+  className?: string;
+  id?: string;
+  shouldRender?: boolean;
+  setWidgetId?: (id: string | null) => void;
+}
+
+export function Turnstile({
+  siteKey,
+  onVerify,
+  onExpire,
+  onError,
+  action,
+  className,
+  id = "cf-turnstile",
+  shouldRender = true,
+  setWidgetId,
+}: TurnstileProps) {
+  const containerRef = useRef<HTMLDivElement>(null);
+  const widgetIdRef = useRef<string | null>(null);
+  const [loaded, setLoaded] = useState(false);
+
+  // Load the Turnstile script
+  useEffect(() => {
+    if (isServerSide() || !shouldRender) return;
+
+    // Skip if already loaded
+    if (window.turnstile) {
+      setLoaded(true);
+      return;
+    }
+
+    // Create script element
+    const script = document.createElement("script");
+    script.src =
+      "https://challenges.cloudflare.com/turnstile/v0/api.js?render=explicit";
+    script.async = true;
+    script.defer = true;
+
+    script.onload = () => {
+      setLoaded(true);
+    };
+
+    script.onerror = () => {
+      onError?.(new Error("Failed to load Turnstile script"));
+    };
+
+    document.head.appendChild(script);
+
+    return () => {
+      if (document.head.contains(script)) {
+        document.head.removeChild(script);
+      }
+    };
+  }, [onError, shouldRender]);
+
+  // Initialize and render the widget when script is loaded
+  useEffect(() => {
+    if (!loaded || !containerRef.current || !window.turnstile || !shouldRender)
+      return;
+
+    // Reset any existing widget
+    if (widgetIdRef.current && window.turnstile) {
+      try {
+        window.turnstile.reset(widgetIdRef.current);
+      } catch (err) {
+        console.warn("Failed to reset existing Turnstile widget:", err);
+      }
+    }
+
+    // Render a new widget
+    if (window.turnstile) {
+      widgetIdRef.current = window.turnstile.render(containerRef.current, {
+        sitekey: siteKey,
+        callback: (token: string) => {
+          onVerify(token);
+        },
+        "expired-callback": () => {
+          onExpire?.();
+        },
+        "error-callback": () => {
+          onError?.(new Error("Turnstile widget encountered an error"));
+        },
+        action,
+      });
+
+      // Notify the hook about the widget ID
+      setWidgetId?.(widgetIdRef.current);
+    }
+
+    return () => {
+      if (widgetIdRef.current && window.turnstile) {
+        try {
+          window.turnstile.remove(widgetIdRef.current);
+        } catch (err) {
+          console.warn("Failed to remove Turnstile widget:", err);
+        }
+        setWidgetId?.(null);
+        widgetIdRef.current = null;
+      }
+    };
+  }, [
+    loaded,
+    siteKey,
+    onVerify,
+    onExpire,
+    onError,
+    action,
+    shouldRender,
+    setWidgetId,
+  ]);
+
+  // Method to reset the widget manually
+  useEffect(() => {
+    if (loaded && widgetIdRef.current && window.turnstile && shouldRender) {
+      window.turnstile.reset(widgetIdRef.current);
+    }
+  }, [loaded, shouldRender]);
+
+  // If shouldRender is false, don't render anything
+  if (!shouldRender) {
+    return null;
+  }
+
+  return (
+    <div
+      id={id}
+      ref={containerRef}
+      className={cn("my-4 flex items-center justify-center", className)}
+    />
+  );
+}
+
+// Add TypeScript interface to Window to include turnstile property
+declare global {
+  interface Window {
+    turnstile?: {
+      render: (
+        container: HTMLElement,
+        options: {
+          sitekey: string;
+          callback: (token: string) => void;
+          "expired-callback"?: () => void;
+          "error-callback"?: () => void;
+          action?: string;
+        },
+      ) => string;
+      reset: (widgetId: string) => void;
+      remove: (widgetId: string) => void;
+    };
+  }
+}
+
+export default Turnstile;
diff --git a/autogpt_platform/frontend/src/components/auth/help-item.tsx b/autogpt_platform/frontend/src/components/auth/help-item.tsx
new file mode 100644
index 000000000000..51f4fef37a0b
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/auth/help-item.tsx
@@ -0,0 +1,36 @@
+import { ExternalLink } from "lucide-react";
+import Link from "next/link";
+
+interface HelpItemProps {
+  title: string;
+  description?: string;
+  linkText?: string;
+  href?: string;
+}
+
+export function HelpItem({
+  title,
+  description,
+  linkText,
+  href = "",
+}: HelpItemProps) {
+  const external = !href.startsWith("/");
+
+  return (
+    <div className="p-4">
+      <h3 className="mb-1 text-sm font-medium text-slate-950">{title}</h3>
+      <p className="text-sm text-slate-600">
+        {description}{" "}
+        {linkText && (
+          <Link
+            href={href}
+            className="inline-flex items-center font-medium text-slate-950 hover:text-slate-700"
+          >
+            {linkText}
+            {external && <ExternalLink className="ml-1 h-3 w-3" />}
+          </Link>
+        )}
+      </p>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/EditAgentModal/EditAgentModal.tsx b/autogpt_platform/frontend/src/components/contextual/EditAgentModal/EditAgentModal.tsx
new file mode 100644
index 000000000000..501650a36bd6
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/EditAgentModal/EditAgentModal.tsx
@@ -0,0 +1,51 @@
+"use client";
+
+import { Dialog } from "@/components/molecules/Dialog/Dialog";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { EditAgentForm } from "./components/EditAgentForm";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+
+export interface EditAgentModalProps {
+  isOpen: boolean;
+  onClose: () => void;
+  submission:
+    | (StoreSubmissionEditRequest & {
+        store_listing_version_id: string | undefined;
+        agent_id: string;
+      })
+    | null;
+  onSuccess: (submission: StoreSubmission) => void;
+}
+
+export function EditAgentModal({
+  isOpen,
+  onClose,
+  submission,
+  onSuccess,
+}: EditAgentModalProps) {
+  if (!submission) return null;
+
+  return (
+    <Dialog
+      styling={{
+        maxWidth: "45rem",
+      }}
+      controlled={{
+        isOpen,
+        set: (isOpen) => {
+          if (!isOpen) onClose();
+        },
+      }}
+    >
+      <Dialog.Content>
+        <div data-testid="edit-agent-modal">
+          <EditAgentForm
+            submission={submission}
+            onClose={onClose}
+            onSuccess={onSuccess}
+          />
+        </div>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/EditAgentModal/components/EditAgentForm.tsx b/autogpt_platform/frontend/src/components/contextual/EditAgentModal/components/EditAgentForm.tsx
new file mode 100644
index 000000000000..ca85a4999b05
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/EditAgentModal/components/EditAgentForm.tsx
@@ -0,0 +1,171 @@
+"use client";
+
+import * as React from "react";
+import { Button } from "@/components/atoms/Button/Button";
+import { Input } from "@/components/atoms/Input/Input";
+import { Select } from "@/components/atoms/Select/Select";
+import { Form, FormField } from "@/components/ui/form";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { ThumbnailImages } from "../../PublishAgentModal/components/AgentInfoStep/components/ThumbnailImages";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+import { StepHeader } from "../../PublishAgentModal/components/StepHeader";
+import { useEditAgentForm } from "./useEditAgentForm";
+
+interface EditAgentFormProps {
+  submission: StoreSubmissionEditRequest & {
+    store_listing_version_id: string | undefined;
+    agent_id: string;
+  };
+  onClose: () => void;
+  onSuccess: (submission: StoreSubmission) => void;
+}
+
+export function EditAgentForm({
+  submission,
+  onClose,
+  onSuccess,
+}: EditAgentFormProps) {
+  const {
+    form,
+    categoryOptions,
+    isSubmitting,
+    handleFormSubmit,
+    handleImagesChange,
+  } = useEditAgentForm({ submission, onSuccess });
+
+  return (
+    <div className="mx-auto flex w-full flex-col rounded-3xl">
+      <StepHeader title="Edit Agent" description="Update your agent details" />
+
+      <Form {...form}>
+        <form
+          onSubmit={form.handleSubmit(handleFormSubmit)}
+          className="flex-grow overflow-y-auto p-6"
+        >
+          <FormField
+            control={form.control}
+            name="title"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Title"
+                type="text"
+                placeholder="Agent name"
+                error={form.formState.errors.title?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="subheader"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Subheader"
+                type="text"
+                placeholder="A tagline for your agent"
+                error={form.formState.errors.subheader?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <ThumbnailImages
+            agentId={submission.agent_id}
+            onImagesChange={handleImagesChange}
+            initialImages={submission.image_urls || []}
+            initialSelectedImage={submission.image_urls?.[0] || null}
+            errorMessage={form.formState.errors.root?.message}
+          />
+
+          <FormField
+            control={form.control}
+            name="youtubeLink"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="YouTube video link"
+                type="url"
+                placeholder="Paste a video link here"
+                error={form.formState.errors.youtubeLink?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="category"
+            render={({ field }) => {
+              console.log("Edit Category field value:", field.value);
+              return (
+                <Select
+                  id={field.name}
+                  label="Category"
+                  placeholder="Select a category for your agent"
+                  value={field.value}
+                  onValueChange={field.onChange}
+                  error={form.formState.errors.category?.message}
+                  options={categoryOptions}
+                />
+              );
+            }}
+          />
+
+          <FormField
+            control={form.control}
+            name="description"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Description"
+                type="textarea"
+                placeholder="Describe your agent and what it does"
+                error={form.formState.errors.description?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="changes_summary"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Changes Summary"
+                type="text"
+                placeholder="Briefly describe what you changed"
+                error={form.formState.errors.changes_summary?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <div className="flex justify-between gap-4 pt-6">
+            <Button
+              type="button"
+              onClick={onClose}
+              variant="secondary"
+              className="w-full"
+            >
+              Cancel
+            </Button>
+            <Button
+              type="submit"
+              className="w-full"
+              disabled={
+                Object.keys(form.formState.errors).length > 0 || isSubmitting
+              }
+              loading={isSubmitting}
+            >
+              Update submission
+            </Button>
+          </div>
+        </form>
+      </Form>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/EditAgentModal/components/useEditAgentForm.ts b/autogpt_platform/frontend/src/components/contextual/EditAgentModal/components/useEditAgentForm.ts
new file mode 100644
index 000000000000..9b9a20d2573c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/EditAgentModal/components/useEditAgentForm.ts
@@ -0,0 +1,169 @@
+import * as Sentry from "@sentry/nextjs";
+import {
+  getGetV2ListMySubmissionsQueryKey,
+  usePutV2EditStoreSubmission,
+} from "@/app/api/__generated__/endpoints/store/store";
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { StoreSubmissionEditRequest } from "@/app/api/__generated__/models/storeSubmissionEditRequest";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useQueryClient } from "@tanstack/react-query";
+import React from "react";
+import { useForm } from "react-hook-form";
+import z from "zod";
+
+interface useEditAgentFormProps {
+  submission: StoreSubmissionEditRequest & {
+    store_listing_version_id: string | undefined;
+    agent_id: string;
+  };
+  onSuccess: (submission: StoreSubmission) => void;
+}
+
+export const useEditAgentForm = ({
+  submission,
+  onSuccess,
+}: useEditAgentFormProps) => {
+  const editAgentSchema = z.object({
+    title: z
+      .string()
+      .min(1, "Title is required")
+      .max(100, "Title must be less than 100 characters"),
+    subheader: z
+      .string()
+      .min(1, "Subheader is required")
+      .max(200, "Subheader must be less than 200 characters"),
+    youtubeLink: z
+      .string()
+      .optional()
+      .refine((val) => {
+        if (!val) return true;
+        try {
+          const url = new URL(val);
+          const allowedHosts = [
+            "youtube.com",
+            "www.youtube.com",
+            "youtu.be",
+            "www.youtu.be",
+          ];
+          return allowedHosts.includes(url.hostname);
+        } catch {
+          return false;
+        }
+      }, "Please enter a valid YouTube URL"),
+    category: z.string().min(1, "Category is required"),
+    description: z
+      .string()
+      .min(1, "Description is required")
+      .max(1000, "Description must be less than 1000 characters"),
+    changes_summary: z
+      .string()
+      .min(1, "Changes summary is required")
+      .max(200, "Changes summary must be less than 200 characters"),
+  });
+
+  type EditAgentFormData = z.infer<typeof editAgentSchema>;
+
+  const [images, setImages] = React.useState<string[]>(
+    submission.image_urls || [],
+  );
+  const [isSubmitting, setIsSubmitting] = React.useState(false);
+
+  const { mutateAsync: editSubmission } = usePutV2EditStoreSubmission({
+    mutation: {
+      onSuccess: () => {
+        queryClient.invalidateQueries({
+          queryKey: getGetV2ListMySubmissionsQueryKey(),
+        });
+      },
+    },
+  });
+
+  const queryClient = useQueryClient();
+  const { toast } = useToast();
+
+  const form = useForm<EditAgentFormData>({
+    resolver: zodResolver(editAgentSchema),
+    defaultValues: {
+      title: submission.name,
+      subheader: submission.sub_heading,
+      youtubeLink: submission.video_url || "",
+      category: submission.categories?.[0] || "",
+      description: submission.description,
+      changes_summary: submission.changes_summary || "",
+    },
+  });
+
+  const categoryOptions = [
+    { value: "productivity", label: "Productivity" },
+    { value: "writing", label: "Writing & Content" },
+    { value: "development", label: "Development" },
+    { value: "data", label: "Data & Analytics" },
+    { value: "marketing", label: "Marketing & SEO" },
+    { value: "research", label: "Research & Learning" },
+    { value: "creative", label: "Creative & Design" },
+    { value: "business", label: "Business & Finance" },
+    { value: "personal", label: "Personal Assistant" },
+    { value: "other", label: "Other" },
+  ];
+
+  const handleImagesChange = React.useCallback((newImages: string[]) => {
+    setImages(newImages);
+  }, []);
+
+  async function handleFormSubmit(data: EditAgentFormData) {
+    // Validate that at least one image is present
+    if (images.length === 0) {
+      form.setError("root", {
+        type: "manual",
+        message: "At least one image is required",
+      });
+      return;
+    }
+
+    const categories = data.category ? [data.category] : [];
+    const filteredCategories = categories.filter(Boolean);
+    setIsSubmitting(true);
+
+    try {
+      const response = await editSubmission({
+        storeListingVersionId: submission.store_listing_version_id!,
+        data: {
+          name: data.title,
+          sub_heading: data.subheader,
+          description: data.description,
+          image_urls: images,
+          video_url: data.youtubeLink || "",
+          categories: filteredCategories,
+          changes_summary: data.changes_summary,
+        },
+      });
+
+      // Extract the StoreSubmission from the response
+      if (response.status === 200 && response.data) {
+        onSuccess(response.data);
+      } else {
+        throw new Error("Failed to update submission");
+      }
+    } catch (error) {
+      Sentry.captureException(error);
+      toast({
+        title: "Edit Agent Error",
+        description:
+          "An error occurred while editing the agent. Please try again.",
+        duration: 3000,
+        variant: "destructive",
+      });
+    } finally {
+      setIsSubmitting(false);
+    }
+  }
+
+  return {
+    form,
+    isSubmitting,
+    handleFormSubmit,
+    handleImagesChange,
+    categoryOptions,
+  };
+};
diff --git a/autogpt_platform/frontend/src/components/contextual/InfiniteScroll/InfiniteScroll.tsx b/autogpt_platform/frontend/src/components/contextual/InfiniteScroll/InfiniteScroll.tsx
new file mode 100644
index 000000000000..324293bc9cd8
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/InfiniteScroll/InfiniteScroll.tsx
@@ -0,0 +1,73 @@
+"use client";
+
+import React from "react";
+import { cn } from "@/lib/utils";
+import { useInfiniteScroll } from "./useInfiniteScroll";
+import LoadingBox from "@/components/ui/loading";
+
+type InfiniteScrollProps = {
+  children: React.ReactNode;
+  hasNextPage: boolean;
+  loader?: React.ReactNode;
+  scrollThreshold?: number;
+  className?: string;
+  onLoadMore?: () => void;
+  isFetchingNextPage: boolean;
+  fetchNextPage: () => void;
+  direction?: "vertical" | "horizontal";
+} & (
+  | {
+      loadedItemsCount: number;
+      endMessage: React.ReactNode;
+    }
+  | {
+      loadedItemsCount?: never;
+      endMessage?: never;
+    }
+);
+
+export const InfiniteScroll: React.FC<InfiniteScrollProps> = ({
+  children,
+  loadedItemsCount,
+  hasNextPage,
+  loader,
+  endMessage,
+  className,
+  scrollThreshold = 20,
+  onLoadMore,
+  isFetchingNextPage,
+  fetchNextPage,
+  direction = "vertical",
+}) => {
+  const { containerRef, endOfListRef } = useInfiniteScroll({
+    isFetchingNextPage,
+    fetchNextPage,
+    scrollThreshold,
+    onLoadMore,
+    hasNextPage,
+  });
+
+  const defaultLoader = <LoadingBox className="w-full py-4" spinnerSize={12} />;
+
+  return (
+    <div
+      ref={containerRef}
+      className={cn(
+        direction === "vertical" ? "w-full" : "flex h-full items-center",
+        className,
+      )}
+    >
+      {children}
+      {hasNextPage ? (
+        <div
+          ref={endOfListRef}
+          className={`flex items-center justify-center ${direction === "vertical" ? "w-full py-8" : "h-full flex-shrink-0 px-8"}`}
+        >
+          {loader || defaultLoader}
+        </div>
+      ) : (
+        loadedItemsCount && loadedItemsCount > 0 && endMessage
+      )}
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/contextual/InfiniteScroll/useInfiniteScroll.ts b/autogpt_platform/frontend/src/components/contextual/InfiniteScroll/useInfiniteScroll.ts
new file mode 100644
index 000000000000..8962f7e1c9ea
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/InfiniteScroll/useInfiniteScroll.ts
@@ -0,0 +1,66 @@
+import { isServerSide } from "@/lib/utils/is-server-side";
+import { useCallback, useEffect, useRef, useState } from "react";
+
+interface useInfiniteScrollProps {
+  scrollThreshold: number;
+  onLoadMore?: () => void;
+  isFetchingNextPage: boolean;
+  fetchNextPage: () => void;
+  hasNextPage: boolean;
+}
+
+export const useInfiniteScroll = ({
+  onLoadMore,
+  hasNextPage,
+  isFetchingNextPage,
+  fetchNextPage,
+  scrollThreshold,
+}: useInfiniteScrollProps) => {
+  const containerRef = useRef<HTMLDivElement>(null);
+  const endOfListRef = useRef<HTMLDivElement>(null);
+  const [isInView, setIsInView] = useState(false);
+  const isLoadingRef = useRef(false);
+
+  const loadMore = useCallback(async () => {
+    if (hasNextPage && !isFetchingNextPage && !isLoadingRef.current) {
+      isLoadingRef.current = true;
+      try {
+        fetchNextPage();
+        onLoadMore?.();
+      } finally {
+        isLoadingRef.current = false;
+      }
+    }
+  }, [hasNextPage, isFetchingNextPage, fetchNextPage, onLoadMore]);
+
+  useEffect(() => {
+    if (!hasNextPage || !endOfListRef.current || isServerSide()) return;
+
+    const observer = new IntersectionObserver(
+      (entries) => {
+        const [entry] = entries;
+        setIsInView(entry.isIntersecting);
+      },
+      {
+        rootMargin: `${scrollThreshold}px`,
+      },
+    );
+
+    observer.observe(endOfListRef.current);
+
+    return () => {
+      observer.disconnect();
+    };
+  }, [hasNextPage, scrollThreshold]);
+
+  useEffect(() => {
+    if (isInView && hasNextPage && !isLoadingRef.current) {
+      loadMore();
+    }
+  }, [isInView, hasNextPage]);
+
+  return {
+    containerRef,
+    endOfListRef,
+  };
+};
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/PublishAgentModal.tsx b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/PublishAgentModal.tsx
new file mode 100644
index 000000000000..fbab5f51ec1b
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/PublishAgentModal.tsx
@@ -0,0 +1,110 @@
+"use client";
+
+import * as React from "react";
+import { AgentSelectStep } from "./components/AgentSelectStep/AgentSelectStep";
+import { AgentInfoStep } from "./components/AgentInfoStep/AgentInfoStep";
+import { AgentReviewStep } from "./components/AgentReviewStep";
+import { Dialog } from "@/components/molecules/Dialog/Dialog";
+import { Skeleton } from "@/components/ui/skeleton";
+import { Button } from "@/components/atoms/Button/Button";
+import { Props, usePublishAgentModal } from "./usePublishAgentModal";
+
+export function PublishAgentModal({
+  trigger,
+  targetState,
+  onStateChange,
+}: Props) {
+  const {
+    // State
+    currentState,
+    updateState,
+    initialData,
+    selectedAgentId,
+    selectedAgentVersion,
+    // Handlers
+    handleClose,
+    handleAgentSelect,
+    handleNextFromSelect,
+    handleGoToDashboard,
+    handleGoToBuilder,
+    handleSuccessFromInfo,
+    handleBack,
+  } = usePublishAgentModal({ targetState, onStateChange });
+
+  function renderContent() {
+    switch (currentState.step) {
+      case "select":
+        return (
+          <AgentSelectStep
+            onSelect={handleAgentSelect}
+            onCancel={handleClose}
+            onNext={handleNextFromSelect}
+            onOpenBuilder={handleGoToBuilder}
+          />
+        );
+      case "info":
+        return (
+          <AgentInfoStep
+            onBack={handleBack}
+            onSuccess={handleSuccessFromInfo}
+            selectedAgentId={selectedAgentId}
+            selectedAgentVersion={selectedAgentVersion}
+            initialData={initialData}
+          />
+        );
+      case "review":
+        return currentState.submissionData &&
+          currentState.submissionData.name ? (
+          <AgentReviewStep
+            agentName={currentState.submissionData.name}
+            subheader={currentState.submissionData.sub_heading}
+            description={currentState.submissionData.description || ""}
+            thumbnailSrc={currentState.submissionData.image_urls?.[0]}
+            onClose={handleClose}
+            onDone={handleClose}
+            onViewProgress={() => handleGoToDashboard()}
+          />
+        ) : (
+          <div className="flex min-h-[60vh] flex-col items-center justify-center gap-8 space-y-2">
+            <Skeleton className="h-12 w-4/5" />
+            <Skeleton className="h-8 w-full" />
+            <Skeleton className="h-8 w-full" />
+            <Skeleton className="h-8 w-full" />
+            <Skeleton className="h-8 w-full" />
+            <Skeleton className="h-8 w-full" />
+          </div>
+        );
+    }
+  }
+
+  return (
+    <>
+      <Dialog
+        styling={{
+          maxWidth: "45rem",
+        }}
+        controlled={{
+          isOpen: currentState.isOpen,
+          set: (isOpen) => {
+            if (!isOpen) {
+              // When closing, always reset to clean state
+              handleClose();
+            } else {
+              updateState({
+                ...currentState,
+                isOpen: isOpen,
+              });
+            }
+          },
+        }}
+      >
+        <Dialog.Trigger>
+          {trigger || <Button size="small">Publish Agent</Button>}
+        </Dialog.Trigger>
+        <Dialog.Content>
+          <div data-testid="publish-agent-modal">{renderContent()}</div>
+        </Dialog.Content>
+      </Dialog>
+    </>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/AgentInfoStep.tsx b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/AgentInfoStep.tsx
new file mode 100644
index 000000000000..2f728140ce9d
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/AgentInfoStep.tsx
@@ -0,0 +1,180 @@
+"use client";
+
+import * as React from "react";
+import { Button } from "@/components/atoms/Button/Button";
+import { StepHeader } from "../StepHeader";
+import { Input } from "@/components/atoms/Input/Input";
+import { Select } from "@/components/atoms/Select/Select";
+import { Form, FormField } from "@/components/ui/form";
+import { Props, useAgentInfoStep } from "./useAgentInfoStep";
+import { ThumbnailImages } from "./components/ThumbnailImages";
+
+export function AgentInfoStep({
+  onBack,
+  onSuccess,
+  selectedAgentId,
+  selectedAgentVersion,
+  initialData,
+}: Props) {
+  const {
+    form,
+    agentId,
+    initialImages,
+    initialSelectedImage,
+    handleImagesChange,
+    handleSubmit,
+    isSubmitting,
+  } = useAgentInfoStep({
+    onBack,
+    onSuccess,
+    selectedAgentId,
+    selectedAgentVersion,
+    initialData,
+  });
+
+  const categoryOptions = [
+    { value: "productivity", label: "Productivity" },
+    { value: "writing", label: "Writing & Content" },
+    { value: "development", label: "Development" },
+    { value: "data", label: "Data & Analytics" },
+    { value: "marketing", label: "Marketing & SEO" },
+    { value: "research", label: "Research & Learning" },
+    { value: "creative", label: "Creative & Design" },
+    { value: "business", label: "Business & Finance" },
+    { value: "personal", label: "Personal Assistant" },
+    { value: "other", label: "Other" },
+  ];
+
+  return (
+    <div className="mx-auto flex w-full flex-col rounded-3xl">
+      <StepHeader
+        title="Publish Agent"
+        description="Write a bit of details about your agent"
+      />
+
+      <Form {...form}>
+        <form onSubmit={handleSubmit} className="flex-grow overflow-y-auto p-6">
+          <FormField
+            control={form.control}
+            name="title"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Title"
+                type="text"
+                placeholder="Agent name"
+                error={form.formState.errors.title?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="subheader"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Subheader"
+                type="text"
+                placeholder="A tagline for your agent"
+                error={form.formState.errors.subheader?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="slug"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Slug"
+                type="text"
+                placeholder="URL-friendly name for your agent"
+                error={form.formState.errors.slug?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <ThumbnailImages
+            agentId={agentId}
+            onImagesChange={handleImagesChange}
+            initialImages={initialImages}
+            initialSelectedImage={initialSelectedImage}
+            errorMessage={form.formState.errors.root?.message}
+          />
+
+          <FormField
+            control={form.control}
+            name="youtubeLink"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="YouTube video link"
+                type="url"
+                placeholder="Paste a video link here"
+                error={form.formState.errors.youtubeLink?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="category"
+            render={({ field }) => (
+              <Select
+                id={field.name}
+                label="Category"
+                placeholder="Select a category for your agent"
+                value={field.value}
+                onValueChange={field.onChange}
+                error={form.formState.errors.category?.message}
+                options={categoryOptions}
+              />
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="description"
+            render={({ field }) => (
+              <Input
+                id={field.name}
+                label="Description"
+                type="textarea"
+                placeholder="Describe your agent and what it does"
+                error={form.formState.errors.description?.message}
+                {...field}
+              />
+            )}
+          />
+
+          <div className="flex justify-between gap-4 pt-6">
+            <Button
+              type="button"
+              onClick={onBack}
+              variant="secondary"
+              className="w-full"
+            >
+              Back
+            </Button>
+            <Button
+              type="submit"
+              className="w-full"
+              disabled={
+                Object.keys(form.formState.errors).length > 0 || isSubmitting
+              }
+              loading={isSubmitting}
+            >
+              Submit for review
+            </Button>
+          </div>
+        </form>
+      </Form>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/components/ThumbnailImages.tsx b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/components/ThumbnailImages.tsx
new file mode 100644
index 000000000000..6b86e4810125
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/components/ThumbnailImages.tsx
@@ -0,0 +1,155 @@
+"use client";
+
+import * as React from "react";
+import Image from "next/image";
+import { IconCross, IconPlus } from "../../../../../ui/icons";
+import { Button } from "@/components/atoms/Button/Button";
+import { MagicWand } from "@phosphor-icons/react";
+import { useThumbnailImages } from "./useThumbnailImages";
+import { Text } from "@/components/atoms/Text/Text";
+
+interface ThumbnailImagesProps {
+  agentId: string | null;
+  onImagesChange: (images: string[]) => void;
+  initialImages?: string[];
+  initialSelectedImage?: string | null;
+  errorMessage?: string;
+}
+
+export function ThumbnailImages({
+  agentId,
+  onImagesChange,
+  initialImages = [],
+  initialSelectedImage = null,
+  errorMessage,
+}: ThumbnailImagesProps) {
+  const {
+    images,
+    selectedImage,
+    isGenerating,
+    thumbnailsContainerRef,
+    handleRemoveImage,
+    handleAddImage,
+    handleFileChange,
+    handleGenerateImage,
+    handleImageSelect,
+  } = useThumbnailImages({
+    agentId,
+    onImagesChange,
+    initialImages,
+    initialSelectedImage,
+  });
+
+  return (
+    <div className="space-y-2.5">
+      <div className="flex flex-col items-start justify-start gap-1">
+        <label className="text-sm font-medium leading-tight text-slate-950">
+          Thumbnail images
+        </label>
+        <Text variant="body" className="!text-zinc-500">
+          The first image will be used as the thumbnail for your agent.
+        </Text>
+        {errorMessage && <p className="text-sm text-red-500">{errorMessage}</p>}
+      </div>
+      <div className="relative flex aspect-video items-center justify-center overflow-hidden rounded-md border border-neutral-300 p-2.5">
+        {selectedImage !== null && selectedImage !== undefined ? (
+          <Image
+            src={selectedImage}
+            alt="Selected Thumbnail"
+            fill
+            style={{ objectFit: "cover" }}
+            className="rounded-md object-cover"
+          />
+        ) : (
+          <p className="font-sans text-sm font-normal text-neutral-600 dark:text-neutral-400">
+            No images yet
+          </p>
+        )}
+      </div>
+      <div
+        ref={thumbnailsContainerRef}
+        className="flex items-center space-x-2 overflow-x-auto pb-6"
+      >
+        {images.length === 0 ? (
+          <div className="flex w-full items-center justify-start gap-2 pl-2">
+            <label
+              htmlFor="image-upload"
+              className="inline-flex h-[2.50rem] cursor-pointer items-center justify-center gap-1.5 whitespace-nowrap rounded-full border border-zinc-700 bg-transparent px-3 py-2 font-sans text-sm font-medium leading-snug text-black transition-colors hover:border-zinc-700 hover:bg-zinc-100 focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50"
+            >
+              <input
+                id="image-upload"
+                type="file"
+                accept="image/*"
+                onChange={handleFileChange}
+                className="hidden"
+              />
+              <IconPlus className="h-4 w-4" />
+              <span>Add image</span>
+            </label>
+            <Button
+              type="button"
+              variant="outline"
+              size="small"
+              onClick={handleGenerateImage}
+              disabled={isGenerating || images.length >= 5}
+            >
+              <MagicWand className="h-4 w-4" />
+              {isGenerating
+                ? "Generating..."
+                : images.length >= 5
+                  ? "Max images reached"
+                  : "Generate"}
+            </Button>
+          </div>
+        ) : (
+          <>
+            {images.map((src, index) => (
+              <div
+                key={index}
+                className="relative flex-shrink-0 overflow-visible"
+              >
+                <Button
+                  type="button"
+                  size="small"
+                  onClick={() => handleRemoveImage(index)}
+                  className="absolute right-0 top-0 z-50 h-6 w-6 p-0"
+                  aria-label="Remove image"
+                >
+                  <IconCross className="h-2 w-2 text-white" />
+                </Button>
+                <div
+                  className={`relative aspect-video h-16 w-24 overflow-hidden rounded-md border-2 transition-colors ${
+                    selectedImage === src
+                      ? "border-blue-500 shadow-md"
+                      : "border-transparent hover:border-gray-300"
+                  }`}
+                >
+                  <Image
+                    src={src}
+                    alt={`Thumbnail ${index + 1}`}
+                    fill
+                    style={{ objectFit: "cover" }}
+                    className="cursor-pointer"
+                    onClick={() => handleImageSelect(src)}
+                  />
+                </div>
+              </div>
+            ))}
+            {images.length < 5 ? (
+              <Button
+                type="button"
+                onClick={handleAddImage}
+                variant="outline"
+                size="small"
+                className="!ml-4"
+              >
+                <IconPlus className="h-4 w-4" />
+                <span>Add image</span>
+              </Button>
+            ) : null}
+          </>
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/components/useThumbnailImages.ts b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/components/useThumbnailImages.ts
new file mode 100644
index 000000000000..1813377243f4
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/components/useThumbnailImages.ts
@@ -0,0 +1,151 @@
+import { useState, useRef, useEffect } from "react";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+
+interface UseThumbnailImagesProps {
+  agentId: string | null;
+  onImagesChange: (images: string[]) => void;
+  initialImages?: string[];
+  initialSelectedImage?: string | null;
+}
+
+export function useThumbnailImages({
+  agentId,
+  onImagesChange,
+  initialImages = [],
+  initialSelectedImage = null,
+}: UseThumbnailImagesProps) {
+  const [images, setImages] = useState<string[]>(initialImages);
+
+  const [selectedImage, setSelectedImage] = useState<string | null>(
+    initialSelectedImage,
+  );
+
+  const [isGenerating, setIsGenerating] = useState(false);
+  const thumbnailsContainerRef = useRef<HTMLDivElement | null>(null);
+  const { toast } = useToast();
+
+  // Notify parent when images change
+  useEffect(() => {
+    onImagesChange(images);
+  }, [images, onImagesChange]);
+
+  const setImagesWithValidation = (newImages: string[]) => {
+    // Remove duplicates
+    const uniqueImages = Array.from(new Set(newImages));
+    // Keep only first 5 images
+    const limitedImages = uniqueImages.slice(0, 5);
+    setImages(limitedImages);
+  };
+
+  function handleRemoveImage(indexToRemove: number) {
+    const newImages = [...images];
+    newImages.splice(indexToRemove, 1);
+    setImagesWithValidation(newImages);
+    if (newImages[indexToRemove] === selectedImage) {
+      setSelectedImage(newImages[0] || null);
+    }
+    if (newImages.length === 0) {
+      setSelectedImage(null);
+    }
+  }
+
+  async function handleAddImage() {
+    if (images.length >= 5) return;
+
+    const input = document.createElement("input");
+    input.type = "file";
+    input.accept = "image/*";
+
+    // Create a promise that resolves when file is selected
+    const fileSelected = new Promise<File | null>((resolve) => {
+      input.onchange = (e) => {
+        const file = (e.target as HTMLInputElement).files?.[0];
+        resolve(file || null);
+      };
+    });
+
+    // Trigger file selection
+    input.click();
+
+    // Wait for file selection
+    const file = await fileSelected;
+    if (!file) return;
+
+    await uploadImage(file);
+  }
+
+  async function handleFileChange(e: React.ChangeEvent<HTMLInputElement>) {
+    if (images.length >= 5) return;
+
+    const file = e.target.files?.[0];
+    if (!file) return;
+
+    await uploadImage(file);
+  }
+
+  async function uploadImage(file: File) {
+    try {
+      const api = new BackendAPI();
+
+      const imageUrl = (await api.uploadStoreSubmissionMedia(file)).replace(
+        /^"(.*)"$/,
+        "$1",
+      );
+
+      setImagesWithValidation([...images, imageUrl]);
+      if (!selectedImage) {
+        setSelectedImage(imageUrl);
+      }
+    } catch (_error) {
+      toast({
+        title: "Upload failed",
+        description: "Failed to upload image. Please try again.",
+        variant: "destructive",
+      });
+    }
+  }
+
+  async function handleGenerateImage() {
+    if (isGenerating || images.length >= 5) return;
+
+    setIsGenerating(true);
+    try {
+      const api = new BackendAPI();
+      if (!agentId) {
+        throw new Error("Agent ID is required");
+      }
+      const { image_url } = await api.generateStoreSubmissionImage(agentId);
+      setImagesWithValidation([...images, image_url]);
+      if (!selectedImage) {
+        setSelectedImage(image_url);
+      }
+    } catch (_error) {
+      toast({
+        title: "Generation failed",
+        description: "Failed to generate image. Please try again.",
+        variant: "destructive",
+      });
+    } finally {
+      setIsGenerating(false);
+    }
+  }
+
+  function handleImageSelect(imageSrc: string) {
+    setSelectedImage(imageSrc);
+  }
+
+  return {
+    // State
+    images,
+    selectedImage,
+    isGenerating,
+    thumbnailsContainerRef,
+    // Handlers
+    handleRemoveImage,
+    handleAddImage,
+    handleFileChange,
+    handleGenerateImage,
+    handleImageSelect,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/helpers.ts b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/helpers.ts
new file mode 100644
index 000000000000..75e845f04329
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/helpers.ts
@@ -0,0 +1,57 @@
+import z from "zod";
+
+export const publishAgentSchema = z.object({
+  title: z
+    .string()
+    .min(1, "Title is required")
+    .max(100, "Title must be less than 100 characters"),
+  subheader: z
+    .string()
+    .min(1, "Subheader is required")
+    .max(200, "Subheader must be less than 200 characters"),
+  slug: z
+    .string()
+    .min(1, "Slug is required")
+    .max(50, "Slug must be less than 50 characters")
+    .regex(
+      /^[a-z0-9-]+$/,
+      "Slug can only contain lowercase letters, numbers, and hyphens",
+    ),
+  youtubeLink: z
+    .string()
+    .optional()
+    .refine((val) => {
+      if (!val) return true;
+      try {
+        const url = new URL(val);
+        const allowedHosts = [
+          "youtube.com",
+          "www.youtube.com",
+          "youtu.be",
+          "www.youtu.be",
+        ];
+        return allowedHosts.includes(url.hostname);
+      } catch {
+        return false;
+      }
+    }, "Please enter a valid YouTube URL"),
+  category: z.string().min(1, "Category is required"),
+  description: z
+    .string()
+    .min(1, "Description is required")
+    .max(1000, "Description must be less than 1000 characters"),
+});
+
+export type PublishAgentFormData = z.infer<typeof publishAgentSchema>;
+
+export interface PublishAgentInfoInitialData {
+  agent_id: string;
+  title: string;
+  subheader: string;
+  slug: string;
+  thumbnailSrc: string;
+  youtubeLink: string;
+  category: string;
+  description: string;
+  additionalImages?: string[];
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/useAgentInfoStep.ts b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/useAgentInfoStep.ts
new file mode 100644
index 000000000000..cc288fd36962
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/useAgentInfoStep.ts
@@ -0,0 +1,137 @@
+import { useEffect, useCallback, useState } from "react";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useQueryClient } from "@tanstack/react-query";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
+import * as Sentry from "@sentry/nextjs";
+import {
+  PublishAgentFormData,
+  PublishAgentInfoInitialData,
+  publishAgentSchema,
+} from "./helpers";
+
+export interface Props {
+  onBack: () => void;
+  onSuccess: (submissionData: any) => void;
+  selectedAgentId: string | null;
+  selectedAgentVersion: number | null;
+  initialData?: PublishAgentInfoInitialData;
+}
+
+export function useAgentInfoStep({
+  onBack: _onBack,
+  onSuccess,
+  selectedAgentId,
+  selectedAgentVersion,
+  initialData,
+}: Props) {
+  const [agentId, setAgentId] = useState<string | null>(null);
+  const [images, setImages] = useState<string[]>([]);
+  const [isSubmitting, setIsSubmitting] = useState(false);
+
+  const queryClient = useQueryClient();
+  const { toast } = useToast();
+  const api = useBackendAPI();
+
+  const form = useForm<PublishAgentFormData>({
+    resolver: zodResolver(publishAgentSchema),
+    defaultValues: {
+      title: "",
+      subheader: "",
+      slug: "",
+      youtubeLink: "",
+      category: "",
+      description: "",
+    },
+  });
+
+  useEffect(() => {
+    if (initialData) {
+      setAgentId(initialData.agent_id);
+      const initialImages = [
+        ...(initialData?.thumbnailSrc ? [initialData.thumbnailSrc] : []),
+        ...(initialData.additionalImages || []),
+      ];
+      setImages(initialImages);
+
+      // Update form with initial data
+      form.reset({
+        title: initialData.title,
+        subheader: initialData.subheader,
+        slug: initialData.slug.toLocaleLowerCase().trim(),
+        youtubeLink: initialData.youtubeLink,
+        category: initialData.category,
+        description: initialData.description,
+      });
+    }
+  }, [initialData, form]);
+
+  const handleImagesChange = useCallback((newImages: string[]) => {
+    setImages(newImages);
+  }, []);
+
+  async function handleFormSubmit(data: PublishAgentFormData) {
+    // Validate that at least one image is present
+    if (images.length === 0) {
+      form.setError("root", {
+        type: "manual",
+        message: "At least one image is required",
+      });
+      return;
+    }
+
+    const categories = data.category ? [data.category] : [];
+    const filteredCategories = categories.filter(Boolean);
+
+    setIsSubmitting(true);
+
+    try {
+      const response = await api.createStoreSubmission({
+        name: data.title,
+        sub_heading: data.subheader,
+        description: data.description,
+        image_urls: images,
+        video_url: data.youtubeLink || "",
+        agent_id: selectedAgentId || "",
+        agent_version: selectedAgentVersion || 0,
+        slug: data.slug.replace(/\s+/g, "-"),
+        categories: filteredCategories,
+      });
+
+      await queryClient.invalidateQueries({
+        queryKey: getGetV2ListMySubmissionsQueryKey(),
+      });
+
+      onSuccess(response);
+    } catch (error) {
+      Sentry.captureException(error);
+      toast({
+        title: "Submit Agent Error",
+        description:
+          "An error occurred while submitting the agent. Please try again.",
+        duration: 3000,
+        variant: "destructive",
+      });
+    } finally {
+      setIsSubmitting(false);
+    }
+  }
+
+  return {
+    form,
+    agentId,
+    images,
+    isSubmitting,
+    initialImages: initialData
+      ? [
+          ...(initialData?.thumbnailSrc ? [initialData.thumbnailSrc] : []),
+          ...(initialData.additionalImages || []),
+        ]
+      : [],
+    initialSelectedImage: initialData?.thumbnailSrc || null,
+    handleImagesChange,
+    handleSubmit: form.handleSubmit(handleFormSubmit),
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentReviewStep.tsx b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentReviewStep.tsx
new file mode 100644
index 000000000000..ba7456aa0d0f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentReviewStep.tsx
@@ -0,0 +1,114 @@
+"use client";
+
+import * as React from "react";
+
+import Image from "next/image";
+import { StepHeader } from "./StepHeader";
+import { Button } from "@/components/atoms/Button/Button";
+import { Text } from "@/components/atoms/Text/Text";
+import { usePathname } from "next/navigation";
+
+interface Props {
+  agentName: string;
+  subheader: string;
+  description: string;
+  onClose: () => void;
+  onDone: () => void;
+  onViewProgress: () => void;
+  thumbnailSrc?: string;
+}
+
+export function AgentReviewStep({
+  agentName,
+  subheader,
+  description,
+  thumbnailSrc,
+  onDone,
+  onViewProgress,
+}: Props) {
+  const pathname = usePathname();
+  const isDashboardPage = pathname.includes("/profile/dashboard");
+
+  return (
+    <div aria-labelledby="modal-title">
+      <StepHeader
+        title="Agent is awaiting review"
+        description={
+          isDashboardPage
+            ? "Once the agent is approved, it will be available in the AutoGPT marketplace."
+            : "In the meantime you can check your progress on your Creator Dashboard page"
+        }
+      />
+
+      <div className="flex flex-1 flex-col items-center gap-8 px-6 pt-6 sm:gap-6">
+        <div className="mt-4 flex w-full flex-col items-center gap-6 sm:mt-0 sm:gap-4">
+          <div className="gap- flex flex-col items-center">
+            <Text
+              variant="lead"
+              className="line-clamp-1 text-ellipsis text-center font-semibold"
+              data-testid="view-agent-name"
+            >
+              {agentName}
+            </Text>
+            <Text
+              variant="large"
+              className="line-clamp-1 text-ellipsis text-center !text-neutral-500"
+            >
+              {subheader}
+            </Text>
+          </div>
+
+          <div
+            className="aspect-video h-64 w-full rounded-xl bg-neutral-200"
+            role="img"
+            aria-label={
+              thumbnailSrc ? "Agent thumbnail" : "Thumbnail placeholder"
+            }
+          >
+            {thumbnailSrc && (
+              <Image
+                src={thumbnailSrc}
+                alt="Agent thumbnail"
+                width={400}
+                height={280}
+                className="h-full w-full rounded-xl object-cover"
+                loading="lazy"
+              />
+            )}
+          </div>
+
+          {description ? (
+            <Text
+              variant="large"
+              className="line-clamp-1 text-ellipsis pt-2 text-center !text-neutral-500"
+            >
+              {description}
+            </Text>
+          ) : null}
+        </div>
+      </div>
+      <div
+        className={`mt-10 flex ${
+          isDashboardPage ? "justify-center" : "justify-between"
+        } gap-4`}
+      >
+        <Button
+          variant={isDashboardPage ? "primary" : "secondary"}
+          onClick={onDone}
+          className={isDashboardPage ? "w-1/2" : "w-full"}
+        >
+          Done
+        </Button>
+        {!isDashboardPage ? (
+          <Button
+            onClick={onViewProgress}
+            className="w-full"
+            data-testid="view-progress-button"
+          >
+            View progress
+          </Button>
+        ) : null}
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentSelectStep/AgentSelectStep.tsx b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentSelectStep/AgentSelectStep.tsx
new file mode 100644
index 000000000000..5361eca22abb
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentSelectStep/AgentSelectStep.tsx
@@ -0,0 +1,185 @@
+"use client";
+
+import * as React from "react";
+import { Text } from "../../../../atoms/Text/Text";
+import { Button } from "../../../../atoms/Button/Button";
+import { StepHeader } from "../StepHeader";
+import { Skeleton } from "@/components/ui/skeleton";
+import { useAgentSelectStep } from "./useAgentSelectStep";
+
+interface Props {
+  onSelect: (agentId: string, agentVersion: number) => void;
+  onCancel: () => void;
+  onNext: (
+    agentId: string,
+    agentVersion: number,
+    agentData: { name: string; description: string; imageSrc: string },
+  ) => void;
+  onOpenBuilder: () => void;
+}
+
+export function AgentSelectStep({
+  onSelect,
+  onCancel,
+  onNext,
+  onOpenBuilder,
+}: Props) {
+  const {
+    // Data
+    agents,
+    isLoading,
+    error,
+    // State
+    selectedAgentId,
+    // Handlers
+    handleAgentClick,
+    handleNext,
+    // Computed
+    isNextDisabled,
+  } = useAgentSelectStep({ onSelect, onNext });
+
+  if (isLoading) {
+    return (
+      <div className="mx-auto flex min-h-[70vh] w-full flex-col">
+        <StepHeader
+          title="Publish Agent"
+          description="Select your project that you'd like to publish"
+        />
+        <div className="flex-grow p-4 sm:p-6">
+          <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3">
+            {Array.from({ length: 6 }).map((_, i) => (
+              <div
+                key={i}
+                className="overflow-hidden rounded-2xl border border-neutral-200"
+              >
+                <Skeleton className="h-32 w-full sm:h-40" />
+                <div className="flex flex-col gap-2 p-3">
+                  <Skeleton className="h-5 w-3/4" />
+                  <Skeleton className="h-4 w-1/2" />
+                </div>
+              </div>
+            ))}
+          </div>
+        </div>
+      </div>
+    );
+  }
+
+  if (error) {
+    return (
+      <div className="mx-auto flex w-full max-w-[900px] flex-col rounded-3xl">
+        <StepHeader
+          title="Publish Agent"
+          description="Select your project that you'd like to publish"
+        />
+        <div className="inline-flex h-[370px] flex-col items-center justify-center gap-[29px] px-4 py-5 sm:px-6">
+          <Text variant="lead" className="text-center text-red-600">
+            Failed to load agents. Please try again.
+          </Text>
+          <Button onClick={() => window.location.reload()} variant="secondary">
+            Retry
+          </Button>
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="mx-auto flex w-full max-w-[900px] flex-col rounded-3xl">
+      <StepHeader
+        title="Publish Agent"
+        description="Select your project that you'd like to publish"
+      />
+
+      {agents.length === 0 ? (
+        <div className="inline-flex h-[370px] flex-col items-center justify-center gap-[29px] px-4 py-5 sm:px-6">
+          <Text variant="lead" className="text-center">
+            Uh-oh.. It seems like you don&apos;t have any agents in your
+            library. We&apos;d suggest you to create an agent in our builder
+            first
+          </Text>
+          <Button
+            onClick={onOpenBuilder}
+            className="bg-neutral-800 text-white hover:bg-neutral-900"
+          >
+            Open builder
+          </Button>
+        </div>
+      ) : (
+        <>
+          <div className="flex-grow overflow-hidden p-4 sm:p-6">
+            <h3 className="sr-only">List of agents</h3>
+            <div
+              className="h-[300px] overflow-y-auto pr-2 sm:h-[400px] md:h-[500px]"
+              role="region"
+              aria-labelledby="agentListHeading"
+            >
+              <div id="agentListHeading" className="sr-only">
+                Scrollable list of agents
+              </div>
+              <div className="p-2">
+                <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3">
+                  {agents.map((agent) => (
+                    <div
+                      key={agent.id}
+                      data-testid="agent-card"
+                      className={`cursor-pointer select-none overflow-hidden rounded-2xl border border-neutral-200 shadow-sm transition-all ${
+                        selectedAgentId === agent.id
+                          ? "border-transparent shadow-none ring-4 ring-violet-600"
+                          : "hover:shadow-md"
+                      }`}
+                      onClick={() =>
+                        handleAgentClick(agent.name, agent.id, agent.version)
+                      }
+                      onKeyDown={(e) => {
+                        if (e.key === "Enter" || e.key === " ") {
+                          e.preventDefault();
+                          handleAgentClick(agent.name, agent.id, agent.version);
+                        }
+                      }}
+                      tabIndex={0}
+                      role="button"
+                      aria-pressed={selectedAgentId === agent.id}
+                    >
+                      <div className="relative h-32 bg-zinc-400 sm:h-40">
+                        <img
+                          src={agent.imageSrc}
+                          alt={agent.name}
+                          className="h-full w-full object-cover"
+                          loading="lazy"
+                        />
+                      </div>
+                      <div className="flex flex-col gap-2 p-3">
+                        <Text variant="large-medium">{agent.name}</Text>
+                        <Text variant="small" className="!text-neutral-500">
+                          Edited {agent.lastEdited}
+                        </Text>
+                      </div>
+                    </div>
+                  ))}
+                </div>
+              </div>
+            </div>
+          </div>
+
+          <div className="flex justify-between gap-4 p-4 sm:p-6">
+            <Button
+              variant="secondary"
+              onClick={onCancel}
+              className="w-full sm:flex-1"
+            >
+              Back
+            </Button>
+            <Button
+              onClick={handleNext}
+              disabled={isNextDisabled}
+              className="w-full bg-neutral-800 text-white hover:bg-neutral-900 sm:flex-1"
+            >
+              Next
+            </Button>
+          </div>
+        </>
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentSelectStep/useAgentSelectStep.ts b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentSelectStep/useAgentSelectStep.ts
new file mode 100644
index 000000000000..2edf96eede3f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentSelectStep/useAgentSelectStep.ts
@@ -0,0 +1,92 @@
+import * as React from "react";
+import { useGetV2GetMyAgents } from "@/app/api/__generated__/endpoints/store/store";
+
+export interface Agent {
+  name: string;
+  id: string;
+  version: number;
+  lastEdited: string;
+  imageSrc: string;
+  description: string;
+}
+
+interface UseAgentSelectStepProps {
+  onSelect: (agentId: string, agentVersion: number) => void;
+  onNext: (
+    agentId: string,
+    agentVersion: number,
+    agentData: { name: string; description: string; imageSrc: string },
+  ) => void;
+}
+
+export function useAgentSelectStep({
+  onSelect,
+  onNext,
+}: UseAgentSelectStepProps) {
+  const [selectedAgentId, setSelectedAgentId] = React.useState<string | null>(
+    null,
+  );
+  const [selectedAgentVersion, setSelectedAgentVersion] = React.useState<
+    number | null
+  >(null);
+
+  const { data: myAgents, isLoading, error } = useGetV2GetMyAgents();
+
+  const agents: Agent[] =
+    (myAgents?.status === 200 &&
+      myAgents.data.agents
+        .map(
+          (agent): Agent => ({
+            name: agent.agent_name,
+            id: agent.agent_id,
+            version: agent.agent_version,
+            lastEdited: agent.last_edited.toLocaleDateString(),
+            imageSrc: agent.agent_image || "https://picsum.photos/300/200",
+            description: agent.description || "",
+          }),
+        )
+        .sort(
+          (a: Agent, b: Agent) =>
+            new Date(b.lastEdited).getTime() - new Date(a.lastEdited).getTime(),
+        )) ||
+    [];
+
+  const handleAgentClick = (
+    _: string,
+    agentId: string,
+    agentVersion: number,
+  ) => {
+    setSelectedAgentId(agentId);
+    setSelectedAgentVersion(agentVersion);
+    onSelect(agentId, agentVersion);
+  };
+
+  const handleNext = () => {
+    if (selectedAgentId && selectedAgentVersion) {
+      const selectedAgent = agents.find(
+        (agent) => agent.id === selectedAgentId,
+      );
+      if (selectedAgent) {
+        onNext(selectedAgentId, selectedAgentVersion, {
+          name: selectedAgent.name,
+          description: selectedAgent.description,
+          imageSrc: selectedAgent.imageSrc,
+        });
+      }
+    }
+  };
+
+  return {
+    // Data
+    agents,
+    isLoading,
+    error,
+    // State
+    selectedAgentId,
+    // Handlers
+    handleAgentClick,
+    handleNext,
+    // Computed
+    isNextDisabled: !selectedAgentId || !selectedAgentVersion,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/StepHeader.tsx b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/StepHeader.tsx
new file mode 100644
index 000000000000..6d3cead08ea5
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/StepHeader.tsx
@@ -0,0 +1,21 @@
+import { Text } from "@/components/atoms/Text/Text";
+
+type Props = {
+  title: string;
+  description: string;
+};
+
+export function StepHeader({ title, description }: Props) {
+  return (
+    <div className="relative border-b border-neutral-100 px-4 pb-4 sm:px-6 sm:pb-6">
+      <div className="text-center">
+        <Text variant="h3" className="text-xl">
+          {title}
+        </Text>
+        <Text variant="body-medium" className="!text-zinc-400">
+          {description}
+        </Text>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/helpers.ts b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/helpers.ts
new file mode 100644
index 000000000000..1165d790870b
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/helpers.ts
@@ -0,0 +1,10 @@
+export const emptyModalState = {
+  agent_id: "",
+  title: "",
+  subheader: "",
+  slug: "",
+  thumbnailSrc: "",
+  youtubeLink: "",
+  category: "",
+  description: "",
+};
diff --git a/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/usePublishAgentModal.ts b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/usePublishAgentModal.ts
new file mode 100644
index 000000000000..a1b7e5faf46c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/contextual/PublishAgentModal/usePublishAgentModal.ts
@@ -0,0 +1,162 @@
+import { StoreSubmission } from "@/app/api/__generated__/models/storeSubmission";
+import { useCallback, useEffect, useState } from "react";
+import { PublishAgentInfoInitialData } from "./components/AgentInfoStep/helpers";
+import { useRouter } from "next/navigation";
+import { emptyModalState } from "./helpers";
+
+const defaultTargetState: PublishState = {
+  isOpen: false,
+  step: "select",
+  submissionData: null,
+};
+
+export type PublishStep = "select" | "info" | "review";
+
+export type PublishState = {
+  isOpen: boolean;
+  step: PublishStep;
+  submissionData: StoreSubmission | null;
+};
+
+export interface Props {
+  trigger?: React.ReactNode;
+  targetState?: PublishState;
+  onStateChange?: (state: PublishState) => void;
+}
+
+export function usePublishAgentModal({ targetState, onStateChange }: Props) {
+  const [currentState, setCurrentState] = useState<PublishState>(
+    targetState || defaultTargetState,
+  );
+
+  const updateState = useCallback(
+    (newState: PublishState) => {
+      setCurrentState(newState);
+      onStateChange?.(newState);
+    },
+    [onStateChange],
+  );
+
+  const [initialData, setInitialData] =
+    useState<PublishAgentInfoInitialData>(emptyModalState);
+
+  const [_, setSelectedAgent] = useState<string | null>(null);
+
+  const [selectedAgentId, setSelectedAgentId] = useState<string | null>(null);
+
+  const [selectedAgentVersion, setSelectedAgentVersion] = useState<
+    number | null
+  >(null);
+
+  const router = useRouter();
+
+  // Sync currentState with targetState when it changes from outside
+  useEffect(() => {
+    if (targetState) {
+      setCurrentState(targetState);
+    }
+  }, [targetState]);
+
+  // Reset internal state when modal opens
+  useEffect(() => {
+    if (!targetState) return;
+    if (targetState.isOpen && targetState.step === "select") {
+      setSelectedAgent(null);
+      setSelectedAgentId(null);
+      setSelectedAgentVersion(null);
+      setInitialData(emptyModalState);
+    }
+  }, [targetState]);
+
+  function handleClose() {
+    // Reset all internal state
+    setSelectedAgent(null);
+    setSelectedAgentId(null);
+    setSelectedAgentVersion(null);
+    setInitialData(emptyModalState);
+
+    // Update parent with clean closed state
+    const newState = {
+      isOpen: false,
+      step: "select" as PublishStep,
+      submissionData: null,
+    };
+    updateState(newState);
+  }
+
+  function handleAgentSelect(agentName: string) {
+    setSelectedAgent(agentName);
+  }
+
+  function handleNextFromSelect(
+    agentId: string,
+    agentVersion: number,
+    agentData: { name: string; description: string; imageSrc: string },
+  ) {
+    setInitialData({
+      ...emptyModalState,
+      agent_id: agentId,
+      title: agentData.name,
+      description: agentData.description,
+      thumbnailSrc: agentData.imageSrc,
+      slug: agentData.name.replace(/ /g, "-"),
+    });
+
+    updateState({
+      ...currentState,
+      step: "info",
+    });
+
+    setSelectedAgentId(agentId);
+    setSelectedAgentVersion(agentVersion);
+  }
+
+  function handleSuccessFromInfo(submissionData: any) {
+    updateState({
+      ...currentState,
+      submissionData: submissionData,
+      step: "review",
+    });
+  }
+
+  function handleBack() {
+    if (currentState.step === "info") {
+      updateState({
+        ...currentState,
+        step: "select",
+      });
+    } else if (currentState.step === "review") {
+      updateState({
+        ...currentState,
+        step: "info",
+      });
+    }
+  }
+
+  function handleGoToDashboard() {
+    router.push("/profile/dashboard");
+    handleClose();
+  }
+
+  function handleGoToBuilder() {
+    router.push("/build");
+    handleClose();
+  }
+
+  return {
+    // handlers
+    handleClose,
+    handleAgentSelect,
+    handleNextFromSelect,
+    handleGoToDashboard,
+    handleGoToBuilder,
+    handleSuccessFromInfo,
+    handleBack,
+    // state
+    currentState,
+    updateState,
+    initialData,
+    selectedAgentId,
+    selectedAgentVersion,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/cron-scheduler-dialog.tsx b/autogpt_platform/frontend/src/components/cron-scheduler-dialog.tsx
new file mode 100644
index 000000000000..3800370f3c00
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/cron-scheduler-dialog.tsx
@@ -0,0 +1,116 @@
+import { useEffect, useState } from "react";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { Separator } from "@/components/ui/separator";
+import { CronScheduler } from "@/components/cron-scheduler";
+import { Dialog, DialogContent, DialogTitle } from "@/components/ui/dialog";
+import { useGetV1GetUserTimezone } from "@/app/api/__generated__/endpoints/auth/auth";
+import { getTimezoneDisplayName } from "@/lib/timezone-utils";
+import { InfoIcon } from "lucide-react";
+
+type CronSchedulerDialogProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+  afterCronCreation: (cronExpression: string, scheduleName: string) => void;
+  defaultScheduleName?: string;
+};
+
+export function CronSchedulerDialog({
+  open,
+  setOpen,
+  afterCronCreation,
+  defaultScheduleName = "",
+}: CronSchedulerDialogProps) {
+  const { toast } = useToast();
+  const [cronExpression, setCronExpression] = useState<string>("");
+  const [scheduleName, setScheduleName] = useState<string>(defaultScheduleName);
+
+  // Get user's timezone
+  const { data: timezoneData } = useGetV1GetUserTimezone();
+  const userTimezone = timezoneData?.data?.timezone || "UTC";
+  const timezoneDisplay = getTimezoneDisplayName(userTimezone);
+
+  // Reset state when dialog opens
+  useEffect(() => {
+    if (open) {
+      setScheduleName(defaultScheduleName);
+      setCronExpression("");
+    }
+  }, [open]);
+
+  const handleDone = () => {
+    if (!scheduleName.trim()) {
+      toast({
+        title: "Please enter a schedule name",
+        variant: "destructive",
+      });
+      return;
+    }
+
+    // Validate cron expression before proceeding
+    if (!cronExpression || cronExpression.trim() === "") {
+      toast({
+        variant: "destructive",
+        title: "Invalid schedule",
+        description: "Please enter a valid cron expression",
+      });
+      return;
+    }
+
+    afterCronCreation(cronExpression, scheduleName);
+    setOpen(false);
+  };
+
+  return (
+    <Dialog open={open} onOpenChange={setOpen}>
+      <DialogContent>
+        <DialogTitle>Schedule Task</DialogTitle>
+        <div className="p-2">
+          <div className="flex flex-col gap-4">
+            <div className="flex flex-col space-y-2">
+              <label className="text-sm font-medium">Schedule Name</label>
+              <Input
+                value={scheduleName}
+                onChange={(e) => setScheduleName(e.target.value)}
+                placeholder="Enter a name for this schedule"
+              />
+            </div>
+
+            <CronScheduler onCronExpressionChange={setCronExpression} />
+
+            {/* Timezone info */}
+            {userTimezone === "not-set" ? (
+              <div className="flex items-center gap-2 rounded-md border border-amber-200 bg-amber-50 p-3">
+                <InfoIcon className="h-4 w-4 text-amber-600" />
+                <p className="text-sm text-amber-800">
+                  No timezone set. Schedule will run in UTC.
+                  <a href="/profile/settings" className="ml-1 underline">
+                    Set your timezone
+                  </a>
+                </p>
+              </div>
+            ) : (
+              <div className="flex items-center gap-2 rounded-md bg-muted/50 p-3">
+                <InfoIcon className="h-4 w-4 text-muted-foreground" />
+                <p className="text-sm text-muted-foreground">
+                  Schedule will run in your timezone:{" "}
+                  <span className="font-medium">{timezoneDisplay}</span>
+                </p>
+              </div>
+            )}
+          </div>
+
+          <Separator className="my-4" />
+
+          <div className="flex justify-end space-x-2">
+            <Button variant="outline" onClick={() => setOpen(false)}>
+              Cancel
+            </Button>
+            <Button onClick={handleDone}>Done</Button>
+          </div>
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/cron-scheduler.tsx b/autogpt_platform/frontend/src/components/cron-scheduler.tsx
new file mode 100644
index 000000000000..4f522de4442e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/cron-scheduler.tsx
@@ -0,0 +1,354 @@
+import React, { useEffect, useState } from "react";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { Label } from "@/components/ui/label";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import { CronFrequency, makeCronExpression } from "@/lib/cron-expression-utils";
+
+const weekDays = [
+  { label: "Su", value: 0 },
+  { label: "Mo", value: 1 },
+  { label: "Tu", value: 2 },
+  { label: "We", value: 3 },
+  { label: "Th", value: 4 },
+  { label: "Fr", value: 5 },
+  { label: "Sa", value: 6 },
+];
+
+const months = [
+  { label: "Jan", value: "January" },
+  { label: "Feb", value: "February" },
+  { label: "Mar", value: "March" },
+  { label: "Apr", value: "April" },
+  { label: "May", value: "May" },
+  { label: "Jun", value: "June" },
+  { label: "Jul", value: "July" },
+  { label: "Aug", value: "August" },
+  { label: "Sep", value: "September" },
+  { label: "Oct", value: "October" },
+  { label: "Nov", value: "November" },
+  { label: "Dec", value: "December" },
+];
+
+type CronSchedulerProps = {
+  onCronExpressionChange: (cronExpression: string) => void;
+};
+
+export function CronScheduler({
+  onCronExpressionChange,
+}: CronSchedulerProps): React.ReactElement {
+  const [frequency, setFrequency] = useState<CronFrequency>("daily");
+  const [selectedMinute, setSelectedMinute] = useState<string>("0");
+  const [selectedTime, setSelectedTime] = useState<string>("09:00");
+  const [selectedWeekDays, setSelectedWeekDays] = useState<number[]>([]);
+  const [selectedMonthDays, setSelectedMonthDays] = useState<number[]>([]);
+  const [selectedMonths, setSelectedMonths] = useState<number[]>([]);
+  const [customInterval, setCustomInterval] = useState<{
+    value: number;
+    unit: "minutes" | "hours" | "days";
+  }>({ value: 1, unit: "minutes" });
+  const [showCustomDays, setShowCustomDays] = useState<boolean>(false);
+
+  useEffect(() => {
+    const cronExpr = makeCronExpression({
+      frequency,
+      minute:
+        frequency === "hourly"
+          ? parseInt(selectedMinute)
+          : parseInt(selectedTime.split(":")[1]),
+      hour: parseInt(selectedTime.split(":")[0]),
+      days:
+        frequency === "weekly"
+          ? selectedWeekDays
+          : frequency === "monthly"
+            ? selectedMonthDays
+            : [],
+      months: frequency === "yearly" ? selectedMonths : [],
+      customInterval:
+        frequency === "custom" ? customInterval : { unit: "minutes", value: 1 },
+    });
+    onCronExpressionChange(cronExpr);
+  }, [
+    frequency,
+    selectedMinute,
+    selectedTime,
+    selectedWeekDays,
+    selectedMonthDays,
+    selectedMonths,
+    customInterval,
+    onCronExpressionChange,
+  ]);
+
+  return (
+    <div className="max-w-md space-y-6">
+      <div className="space-y-4">
+        <Label className="text-base font-medium">Repeat</Label>
+
+        <Select
+          value={frequency}
+          onValueChange={(value: CronFrequency) => setFrequency(value)}
+        >
+          <SelectTrigger>
+            <SelectValue placeholder="Select frequency" />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectItem value="hourly">Every Hour</SelectItem>
+            <SelectItem value="daily">Daily</SelectItem>
+            <SelectItem value="weekly">Weekly</SelectItem>
+            <SelectItem value="monthly">Monthly</SelectItem>
+            <SelectItem value="yearly">Yearly</SelectItem>
+            <SelectItem value="custom">Custom</SelectItem>
+          </SelectContent>
+        </Select>
+
+        {frequency === "hourly" && (
+          <div className="flex items-center gap-2">
+            <Label>At minute</Label>
+            <Select value={selectedMinute} onValueChange={setSelectedMinute}>
+              <SelectTrigger className="w-24">
+                <SelectValue placeholder="Select minute" />
+              </SelectTrigger>
+              <SelectContent>
+                {[0, 15, 30, 45].map((min) => (
+                  <SelectItem key={min} value={min.toString()}>
+                    {min}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+          </div>
+        )}
+
+        {frequency === "custom" && (
+          <div className="flex items-center gap-2">
+            <Label>Every</Label>
+            <Input
+              type="number"
+              min="1"
+              className="w-20"
+              value={customInterval.value}
+              onChange={(e) =>
+                setCustomInterval({
+                  ...customInterval,
+                  value: parseInt(e.target.value),
+                })
+              }
+            />
+            <Select
+              value={customInterval.unit}
+              onValueChange={(value: any) =>
+                setCustomInterval({ ...customInterval, unit: value })
+              }
+            >
+              <SelectTrigger className="w-32">
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                <SelectItem value="minutes">Minutes</SelectItem>
+                <SelectItem value="hours">Hours</SelectItem>
+                <SelectItem value="days">Days</SelectItem>
+              </SelectContent>
+            </Select>
+          </div>
+        )}
+      </div>
+
+      {frequency === "weekly" && (
+        <div className="space-y-2">
+          <div className="flex items-center gap-2">
+            <Label>On</Label>
+            <Button
+              variant="outline"
+              className="h-8 px-2 py-1 text-xs"
+              onClick={() => {
+                if (selectedWeekDays.length === weekDays.length) {
+                  setSelectedWeekDays([]);
+                } else {
+                  setSelectedWeekDays(weekDays.map((day) => day.value));
+                }
+              }}
+            >
+              {selectedWeekDays.length === weekDays.length
+                ? "Deselect All"
+                : "Select All"}
+            </Button>
+            <Button
+              variant="outline"
+              className="h-8 px-2 py-1 text-xs"
+              onClick={() => setSelectedWeekDays([1, 2, 3, 4, 5])}
+            >
+              Weekdays
+            </Button>
+            <Button
+              variant="outline"
+              className="h-8 px-2 py-1 text-xs"
+              onClick={() => setSelectedWeekDays([0, 6])}
+            >
+              Weekends
+            </Button>
+          </div>
+          <div className="flex flex-wrap gap-2">
+            {weekDays.map((day) => (
+              <Button
+                key={day.value}
+                variant={
+                  selectedWeekDays.includes(day.value) ? "default" : "outline"
+                }
+                className="h-10 w-10 p-0"
+                onClick={() => {
+                  setSelectedWeekDays((prev) =>
+                    prev.includes(day.value)
+                      ? prev.filter((d) => d !== day.value)
+                      : [...prev, day.value],
+                  );
+                }}
+              >
+                {day.label}
+              </Button>
+            ))}
+          </div>
+          {selectedWeekDays.length === 0 && (
+            <p className="text-sm text-red-500">
+              Please select at least one day of the week
+            </p>
+          )}
+        </div>
+      )}
+      {frequency === "monthly" && (
+        <div className="space-y-4">
+          <Label>Days of Month</Label>
+          <div className="flex gap-2">
+            <Button
+              variant={!showCustomDays ? "default" : "outline"}
+              onClick={() => {
+                setShowCustomDays(false);
+                setSelectedMonthDays(
+                  Array.from({ length: 31 }, (_, i) => i + 1),
+                );
+              }}
+            >
+              All Days
+            </Button>
+            <Button
+              variant={showCustomDays ? "default" : "outline"}
+              onClick={() => {
+                setShowCustomDays(true);
+                setSelectedMonthDays([]);
+              }}
+            >
+              Customize
+            </Button>
+            <Button
+              variant="outline"
+              onClick={() => setSelectedMonthDays([15])}
+            >
+              15th
+            </Button>
+            <Button
+              variant="outline"
+              onClick={() => setSelectedMonthDays([31])}
+            >
+              Last Day
+            </Button>
+          </div>
+          {showCustomDays && (
+            <div className="flex flex-wrap gap-2">
+              {Array.from({ length: 31 }, (_, i) => (
+                <Button
+                  key={i + 1}
+                  variant={
+                    selectedMonthDays.includes(i + 1) ? "default" : "outline"
+                  }
+                  className="h-10 w-10 p-0"
+                  onClick={() => {
+                    setSelectedMonthDays((prev) =>
+                      prev.includes(i + 1)
+                        ? prev.filter((d) => d !== i + 1)
+                        : [...prev, i + 1],
+                    );
+                  }}
+                >
+                  {i + 1}
+                </Button>
+              ))}
+            </div>
+          )}
+          {selectedMonthDays.length === 0 && (
+            <p className="text-sm text-red-500">
+              Please select at least one day of the month
+            </p>
+          )}
+        </div>
+      )}
+      {frequency === "yearly" && (
+        <div className="space-y-4">
+          <Label>Months</Label>
+          <div className="flex gap-2">
+            <Button
+              variant="outline"
+              className="h-8 px-2 py-1 text-xs"
+              onClick={() => {
+                if (selectedMonths.length === months.length) {
+                  setSelectedMonths([]);
+                } else {
+                  setSelectedMonths(
+                    Array.from({ length: 12 }, (_, i) => i + 1),
+                  );
+                }
+              }}
+            >
+              {selectedMonths.length === months.length
+                ? "Deselect All"
+                : "Select All"}
+            </Button>
+          </div>
+          <div className="flex flex-wrap gap-2">
+            {months.map((month, i) => {
+              const monthNumber = i + 1;
+              return (
+                <Button
+                  key={i}
+                  variant={
+                    selectedMonths.includes(monthNumber) ? "default" : "outline"
+                  }
+                  className="px-2 py-1"
+                  onClick={() => {
+                    setSelectedMonths((prev) =>
+                      prev.includes(monthNumber)
+                        ? prev.filter((m) => m !== monthNumber)
+                        : [...prev, monthNumber],
+                    );
+                  }}
+                >
+                  {month.label}
+                </Button>
+              );
+            })}
+          </div>
+          {selectedMonths.length === 0 && (
+            <p className="text-sm text-red-500">
+              Please select at least one month
+            </p>
+          )}
+        </div>
+      )}
+
+      {frequency !== "hourly" && (
+        <div className="flex items-center gap-4 space-y-2">
+          <Label className="pt-2">At</Label>
+          <Input
+            type="time"
+            value={selectedTime}
+            onChange={(e) => setSelectedTime(e.target.value)}
+          />
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/cronScheduler.tsx b/autogpt_platform/frontend/src/components/cronScheduler.tsx
deleted file mode 100644
index 9625b2dd19f5..000000000000
--- a/autogpt_platform/frontend/src/components/cronScheduler.tsx
+++ /dev/null
@@ -1,422 +0,0 @@
-import { useState } from "react";
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from "@/components/ui/select";
-import { Label } from "@/components/ui/label";
-import { Input } from "@/components/ui/input";
-import { Button } from "@/components/ui/button";
-import {
-  Dialog,
-  DialogContent,
-  DialogTitle,
-  DialogTrigger,
-} from "@/components/ui/dialog";
-import { Separator } from "./ui/separator";
-import { CronExpressionManager } from "@/lib/monitor/cronExpressionManager";
-
-interface CronSchedulerProps {
-  setOpen: React.Dispatch<React.SetStateAction<boolean>>;
-  open: boolean;
-  afterCronCreation: (cronExpression: string) => void;
-}
-
-export function CronScheduler({
-  setOpen,
-  open,
-  afterCronCreation,
-}: CronSchedulerProps) {
-  const [frequency, setFrequency] = useState<
-    "minute" | "hour" | "daily" | "weekly" | "monthly" | "yearly" | "custom"
-  >("minute");
-  const [selectedDays, setSelectedDays] = useState<number[]>([]);
-  const [selectedTime, setSelectedTime] = useState<string>("00:00");
-  const [showCustomDays, setShowCustomDays] = useState<boolean>(false);
-  const [selectedMinute, setSelectedMinute] = useState<string>("0");
-  const [customInterval, setCustomInterval] = useState<{
-    value: number;
-    unit: "minutes" | "hours" | "days";
-  }>({ value: 1, unit: "minutes" });
-
-  // const [endType, setEndType] = useState<"never" | "on" | "after">("never");
-  // const [endDate, setEndDate] = useState<Date | undefined>();
-  // const [occurrences, setOccurrences] = useState<number>(1);
-
-  const weekDays = [
-    { label: "Su", value: 0 },
-    { label: "Mo", value: 1 },
-    { label: "Tu", value: 2 },
-    { label: "We", value: 3 },
-    { label: "Th", value: 4 },
-    { label: "Fr", value: 5 },
-    { label: "Sa", value: 6 },
-  ];
-
-  const months = [
-    { label: "Jan", value: "January" },
-    { label: "Feb", value: "February" },
-    { label: "Mar", value: "March" },
-    { label: "Apr", value: "April" },
-    { label: "May", value: "May" },
-    { label: "Jun", value: "June" },
-    { label: "Jul", value: "July" },
-    { label: "Aug", value: "August" },
-    { label: "Sep", value: "September" },
-    { label: "Oct", value: "October" },
-    { label: "Nov", value: "November" },
-    { label: "Dec", value: "December" },
-  ];
-
-  const cron_manager = new CronExpressionManager();
-
-  return (
-    <Dialog open={open} onOpenChange={setOpen}>
-      <DialogContent>
-        <DialogTitle>Schedule Task</DialogTitle>
-        <div className="max-w-md space-y-6 p-2">
-          <div className="space-y-4">
-            <Label className="text-base font-medium">Repeat</Label>
-
-            <Select
-              onValueChange={(value: any) => setFrequency(value)}
-              defaultValue="minute"
-            >
-              <SelectTrigger>
-                <SelectValue placeholder="Select frequency" />
-              </SelectTrigger>
-              <SelectContent>
-                <SelectItem value="minute">Every Minute</SelectItem>
-                <SelectItem value="hour">Every Hour</SelectItem>
-                <SelectItem value="daily">Daily</SelectItem>
-                <SelectItem value="weekly">Weekly</SelectItem>
-                <SelectItem value="monthly">Monthly</SelectItem>
-                <SelectItem value="yearly">Yearly</SelectItem>
-                <SelectItem value="custom">Custom</SelectItem>
-              </SelectContent>
-            </Select>
-
-            {frequency === "hour" && (
-              <div className="flex items-center gap-2">
-                <Label>At minute</Label>
-                <Select
-                  value={selectedMinute}
-                  onValueChange={setSelectedMinute}
-                >
-                  <SelectTrigger className="w-24">
-                    <SelectValue placeholder="Select minute" />
-                  </SelectTrigger>
-                  <SelectContent>
-                    {[0, 15, 30, 45].map((min) => (
-                      <SelectItem key={min} value={min.toString()}>
-                        {min}
-                      </SelectItem>
-                    ))}
-                  </SelectContent>
-                </Select>
-              </div>
-            )}
-
-            {frequency === "custom" && (
-              <div className="flex items-center gap-2">
-                <Label>Every</Label>
-                <Input
-                  type="number"
-                  min="1"
-                  className="w-20"
-                  value={customInterval.value}
-                  onChange={(e) =>
-                    setCustomInterval({
-                      ...customInterval,
-                      value: parseInt(e.target.value),
-                    })
-                  }
-                />
-                <Select
-                  value={customInterval.unit}
-                  onValueChange={(value: any) =>
-                    setCustomInterval({ ...customInterval, unit: value })
-                  }
-                >
-                  <SelectTrigger className="w-32">
-                    <SelectValue />
-                  </SelectTrigger>
-                  <SelectContent>
-                    <SelectItem value="minutes">Minutes</SelectItem>
-                    <SelectItem value="hours">Hours</SelectItem>
-                    <SelectItem value="days">Days</SelectItem>
-                  </SelectContent>
-                </Select>
-              </div>
-            )}
-          </div>
-
-          {frequency === "weekly" && (
-            <div className="space-y-2">
-              <div className="flex items-center gap-2">
-                <Label>On</Label>
-                <Button
-                  variant="outline"
-                  className="h-8 px-2 py-1 text-xs"
-                  onClick={() => {
-                    if (selectedDays.length === weekDays.length) {
-                      setSelectedDays([]);
-                    } else {
-                      setSelectedDays(weekDays.map((day) => day.value));
-                    }
-                  }}
-                >
-                  {selectedDays.length === weekDays.length
-                    ? "Deselect All"
-                    : "Select All"}
-                </Button>
-                <Button
-                  variant="outline"
-                  className="h-8 px-2 py-1 text-xs"
-                  onClick={() => setSelectedDays([1, 2, 3, 4, 5])}
-                >
-                  Weekdays
-                </Button>
-                <Button
-                  variant="outline"
-                  className="h-8 px-2 py-1 text-xs"
-                  onClick={() => setSelectedDays([0, 6])}
-                >
-                  Weekends
-                </Button>
-              </div>
-              <div className="flex flex-wrap gap-2">
-                {weekDays.map((day) => (
-                  <Button
-                    key={day.value}
-                    variant={
-                      selectedDays.includes(day.value) ? "default" : "outline"
-                    }
-                    className="h-10 w-10 p-0"
-                    onClick={() => {
-                      setSelectedDays((prev) =>
-                        prev.includes(day.value)
-                          ? prev.filter((d) => d !== day.value)
-                          : [...prev, day.value],
-                      );
-                    }}
-                  >
-                    {day.label}
-                  </Button>
-                ))}
-              </div>
-            </div>
-          )}
-          {frequency === "monthly" && (
-            <div className="space-y-4">
-              <Label>Days of Month</Label>
-              <div className="flex gap-2">
-                <Button
-                  variant={!showCustomDays ? "default" : "outline"}
-                  onClick={() => {
-                    setShowCustomDays(false);
-                    setSelectedDays(
-                      Array.from({ length: 31 }, (_, i) => i + 1),
-                    );
-                  }}
-                >
-                  All Days
-                </Button>
-                <Button
-                  variant={showCustomDays ? "default" : "outline"}
-                  onClick={() => {
-                    setShowCustomDays(true);
-                    setSelectedDays([]);
-                  }}
-                >
-                  Customize
-                </Button>
-                <Button variant="outline" onClick={() => setSelectedDays([15])}>
-                  15th
-                </Button>
-                <Button variant="outline" onClick={() => setSelectedDays([31])}>
-                  Last Day
-                </Button>
-              </div>
-              {showCustomDays && (
-                <div className="flex flex-wrap gap-2">
-                  {Array.from({ length: 31 }, (_, i) => (
-                    <Button
-                      key={i + 1}
-                      variant={
-                        selectedDays.includes(i + 1) ? "default" : "outline"
-                      }
-                      className="h-10 w-10 p-0"
-                      onClick={() => {
-                        setSelectedDays((prev) =>
-                          prev.includes(i + 1)
-                            ? prev.filter((d) => d !== i + 1)
-                            : [...prev, i + 1],
-                        );
-                      }}
-                    >
-                      {i + 1}
-                    </Button>
-                  ))}
-                </div>
-              )}
-            </div>
-          )}
-          {frequency === "yearly" && (
-            <div className="space-y-4">
-              <Label>Months</Label>
-              <div className="flex gap-2">
-                <Button
-                  variant="outline"
-                  className="h-8 px-2 py-1 text-xs"
-                  onClick={() => {
-                    if (selectedDays.length === months.length) {
-                      setSelectedDays([]);
-                    } else {
-                      setSelectedDays(Array.from({ length: 12 }, (_, i) => i));
-                    }
-                  }}
-                >
-                  {selectedDays.length === months.length
-                    ? "Deselect All"
-                    : "Select All"}
-                </Button>
-              </div>
-              <div className="flex flex-wrap gap-2">
-                {months.map((month, index) => (
-                  <Button
-                    key={index}
-                    variant={
-                      selectedDays.includes(index) ? "default" : "outline"
-                    }
-                    className="px-2 py-1"
-                    onClick={() => {
-                      setSelectedDays((prev) =>
-                        prev.includes(index)
-                          ? prev.filter((m) => m !== index)
-                          : [...prev, index],
-                      );
-                    }}
-                  >
-                    {month.label}
-                  </Button>
-                ))}
-              </div>
-            </div>
-          )}
-
-          {frequency !== "minute" && frequency !== "hour" && (
-            <div className="flex items-center gap-4 space-y-2">
-              <Label className="pt-2">At</Label>
-              <Input
-                type="time"
-                value={selectedTime}
-                onChange={(e) => setSelectedTime(e.target.value)}
-              />
-            </div>
-          )}
-
-          <Separator />
-          {/*
-
-            On the backend, we are using standard cron expressions,
-            which makes it challenging to add an end date or stop execution
-            after a certain time using only cron expressions.
-            (since standard cron expressions have limitations, like the lack of a year field or more...).
-
-            We could also use ranges in cron expression for end dates but It doesm't cover all cases (sometimes break)
-
-            To automatically end the scheduler, we need to store the end date and time occurrence in the database
-            and modify scheduler.add_job. Currently, we can only stop the scheduler manually from the monitor tab.
-
-            */}
-
-          {/* <div className="space-y-6">
-            <Label className="text-lg font-medium">Ends</Label>
-            <RadioGroup
-              value={endType}
-              onValueChange={(value: "never" | "on" | "after") =>
-                setEndType(value)
-              }
-            >
-              <div className="flex items-center space-x-2">
-                <RadioGroupItem value="never" id="never" />
-                <Label htmlFor="never">Never</Label>
-              </div>
-
-              <div className="flex items-center space-x-2">
-                <RadioGroupItem value="on" id="on" />
-                <Label htmlFor="on" className="w-[50px]">
-                  On
-                </Label>
-                <Popover>
-                  <PopoverTrigger asChild>
-                    <Button
-                      variant="outline"
-                      className="w-full"
-                      disabled={endType !== "on"}
-                    >
-                      <CalendarIcon className="mr-2 h-4 w-4" />
-                      {endDate ? format(endDate, "PPP") : "Pick a date"}
-                    </Button>
-                  </PopoverTrigger>
-                  <PopoverContent className="w-auto p-0">
-                    <Calendar
-                      mode="single"
-                      selected={endDate}
-                      onSelect={setEndDate}
-                      disabled={(date) => date < new Date()}
-                      fromDate={new Date()}
-                    />
-                  </PopoverContent>
-                </Popover>
-              </div>
-              <div className="flex items-center space-x-2">
-                <RadioGroupItem value="after" id="after" />
-                <Label htmlFor="after" className="ml-2 w-[50px]">
-                  After
-                </Label>
-                <Input
-                  type="number"
-                  className="ml-2 w-[100px]"
-                  value={occurrences}
-                  onChange={(e) => setOccurrences(Number(e.target.value))}
-                />
-                <span>times</span>
-              </div>
-            </RadioGroup>
-          </div> */}
-
-          <div className="flex justify-end space-x-2">
-            <Button variant="outline" onClick={() => setOpen(false)}>
-              Cancel
-            </Button>
-            <Button
-              onClick={() => {
-                const cronExpr = cron_manager.generateCronExpression(
-                  frequency,
-                  selectedTime,
-                  selectedDays,
-                  selectedMinute,
-                  customInterval,
-                );
-                setFrequency("minute");
-                setSelectedDays([]);
-                setSelectedTime("00:00");
-                setShowCustomDays(false);
-                setSelectedMinute("0");
-                setCustomInterval({ value: 1, unit: "minutes" });
-                setOpen(false);
-                afterCronCreation(cronExpr);
-              }}
-            >
-              Done
-            </Button>
-          </div>
-        </div>
-      </DialogContent>
-    </Dialog>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/customnode.css b/autogpt_platform/frontend/src/components/customnode.css
index b361257c7313..dee3a478f31d 100644
--- a/autogpt_platform/frontend/src/components/customnode.css
+++ b/autogpt_platform/frontend/src/components/customnode.css
@@ -4,6 +4,24 @@
   transition: border-color 0.3s ease-in-out;
 }
 
+.custom-node [data-id="input-handles"],
+.custom-node [data-id="input-handles"] > div > div {
+  margin-bottom: 1rem;
+}
+
+.custom-node .custom-switch {
+  padding: 0.5rem 1.25rem;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+}
+
+.error-message {
+  color: #d9534f;
+  font-size: 13px;
+  padding-left: 0.5rem;
+}
+
 /* Existing styles */
 .handle-container {
   display: flex;
@@ -116,13 +134,3 @@
 .custom-switch {
   padding-left: 2px;
 }
-
-input[type="number"]::-webkit-outer-spin-button,
-input[type="number"]::-webkit-inner-spin-button {
-  -webkit-appearance: none;
-  margin: 0;
-}
-
-input[type="number"] {
-  -moz-appearance: textfield;
-}
diff --git a/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx b/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx
index b71b11005c87..085e5859bf2e 100644
--- a/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx
+++ b/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx
@@ -1,4 +1,4 @@
-import React, { useState, useMemo } from "react";
+import React, { useCallback, useMemo, useState, useDeferredValue } from "react";
 import { Card, CardContent, CardHeader } from "@/components/ui/card";
 import { Label } from "@/components/ui/label";
 import { Button } from "@/components/ui/button";
@@ -22,9 +22,38 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import { GraphMeta } from "@/lib/autogpt-server-api";
+import jaro from "jaro-winkler";
+
+type _Block = Block & {
+  uiKey?: string;
+  hardcodedValues?: Record<string, any>;
+  _cached?: {
+    blockName: string;
+    beautifiedName: string;
+    description: string;
+  };
+};
+
+// Hook to preprocess blocks with cached expensive operations
+const useSearchableBlocks = (blocks: _Block[]): _Block[] => {
+  return useMemo(
+    () =>
+      blocks.map((block) => {
+        if (!block._cached) {
+          block._cached = {
+            blockName: block.name.toLowerCase(),
+            beautifiedName: beautifyString(block.name).toLowerCase(),
+            description: block.description.toLowerCase(),
+          };
+        }
+        return block;
+      }),
+    [blocks],
+  );
+};
 
 interface BlocksControlProps {
-  blocks: Block[];
+  blocks: _Block[];
   addBlock: (
     id: string,
     name: string,
@@ -44,18 +73,21 @@ interface BlocksControlProps {
  * @param {(id: string, name: string) => void} BlocksControlProps.addBlock - A function to call when a block is added.
  * @returns The rendered BlocksControl component.
  */
-export const BlocksControl: React.FC<BlocksControlProps> = ({
-  blocks,
+export function BlocksControl({
+  blocks: _blocks,
   addBlock,
   pinBlocksPopover,
   flows,
   nodes,
-}) => {
+}: BlocksControlProps) {
   const [searchQuery, setSearchQuery] = useState("");
+  const deferredSearchQuery = useDeferredValue(searchQuery);
   const [selectedCategory, setSelectedCategory] = useState<string | null>(null);
 
-  const graphHasWebhookNodes = nodes.some(
-    (n) => n.data.uiType == BlockUIType.WEBHOOK,
+  const blocks = useSearchableBlocks(_blocks);
+
+  const graphHasWebhookNodes = nodes.some((n) =>
+    [BlockUIType.WEBHOOK, BlockUIType.WEBHOOK_MANUAL].includes(n.data.uiType),
   );
   const graphHasInputNodes = nodes.some(
     (n) => n.data.uiType == BlockUIType.INPUT,
@@ -65,9 +97,10 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
     const blockList = blocks
       .filter((b) => b.uiType !== BlockUIType.AGENT)
       .sort((a, b) => a.name.localeCompare(b.name));
-    const agentBlockList = flows.map(
-      (flow) =>
-        ({
+
+    const agentBlockList = flows
+      .map((flow): _Block => {
+        return {
           id: SpecialBlockID.AGENT,
           name: flow.name,
           description:
@@ -78,32 +111,41 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
           outputSchema: flow.output_schema,
           staticOutput: false,
           uiType: BlockUIType.AGENT,
-          uiKey: flow.id,
           costs: [],
+          uiKey: flow.id,
           hardcodedValues: {
             graph_id: flow.id,
             graph_version: flow.version,
             input_schema: flow.input_schema,
             output_schema: flow.output_schema,
           },
-        }) as Block,
-    );
+        };
+      })
+      .map(
+        (agentBlock): _Block => ({
+          ...agentBlock,
+          _cached: {
+            blockName: agentBlock.name.toLowerCase(),
+            beautifiedName: beautifyString(agentBlock.name).toLowerCase(),
+            description: agentBlock.description.toLowerCase(),
+          },
+        }),
+      );
 
     return blockList
       .concat(agentBlockList)
+      .map((block) => ({
+        block,
+        score: blockScoreForQuery(block, deferredSearchQuery),
+      }))
       .filter(
-        (block: Block) =>
-          (block.name.toLowerCase().includes(searchQuery.toLowerCase()) ||
-            beautifyString(block.name)
-              .toLowerCase()
-              .includes(searchQuery.toLowerCase()) ||
-            block.description
-              .toLowerCase()
-              .includes(searchQuery.toLowerCase())) &&
+        ({ block, score }) =>
+          score > 0 &&
           (!selectedCategory ||
             block.categories.some((cat) => cat.category === selectedCategory)),
       )
-      .map((block) => ({
+      .sort((a, b) => b.score - a.score)
+      .map(({ block }) => ({
         ...block,
         notAvailable:
           (block.uiType == BlockUIType.WEBHOOK &&
@@ -120,26 +162,28 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
   }, [
     blocks,
     flows,
-    searchQuery,
     selectedCategory,
+    deferredSearchQuery,
     graphHasInputNodes,
     graphHasWebhookNodes,
   ]);
 
-  const resetFilters = React.useCallback(() => {
+  const resetFilters = useCallback(() => {
     setSearchQuery("");
     setSelectedCategory(null);
   }, []);
 
   // Extract unique categories from blocks
-  const categories = Array.from(
-    new Set([
-      null,
-      ...blocks
-        .flatMap((block) => block.categories.map((cat) => cat.category))
-        .sort(),
-    ]),
-  );
+  const categories = useMemo(() => {
+    return Array.from(
+      new Set([
+        null,
+        ...blocks
+          .flatMap((block) => block.categories.map((cat) => cat.category))
+          .sort(),
+      ]),
+    );
+  }, [blocks]);
 
   return (
     <Popover
@@ -192,9 +236,13 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
                 onChange={(e) => setSearchQuery(e.target.value)}
                 className="rounded-lg px-8 py-5 dark:bg-slate-800 dark:text-white"
                 data-id="blocks-control-search-input"
+                autoComplete="off"
               />
             </div>
-            <div className="mt-2 flex flex-wrap gap-2">
+            <div
+              className="mt-2 flex flex-wrap gap-2"
+              data-testid="blocks-categories-list"
+            >
               {categories.map((category) => {
                 const color = getPrimaryCategoryColor([
                   { category: category || "All", description: "" },
@@ -204,6 +252,8 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
                 return (
                   <div
                     key={category}
+                    data-testid="blocks-category"
+                    role="button"
                     className={`cursor-pointer rounded-xl border px-2 py-2 text-xs font-medium dark:border-slate-700 dark:text-white ${colorClass}`}
                     onClick={() =>
                       setSelectedCategory(
@@ -219,7 +269,7 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
           </CardHeader>
           <CardContent className="overflow-scroll border-t border-t-gray-200 p-0 dark:border-t-slate-700">
             <ScrollArea
-              className="h-[60vh] w-fit"
+              className="h-[60vh] w-full"
               data-id="blocks-control-scroll-area"
             >
               {filteredAvailableBlocks.map((block) => (
@@ -246,6 +296,7 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
                       <span
                         className="block truncate pb-1 text-sm font-semibold dark:text-white"
                         data-id={`block-name-${block.id}`}
+                        data-type={block.uiType}
                         data-testid={`block-name-${block.id}`}
                       >
                         <TextRenderer
@@ -282,4 +333,57 @@ export const BlocksControl: React.FC<BlocksControlProps> = ({
       </PopoverContent>
     </Popover>
   );
-};
+}
+
+/**
+ * Evaluates how well a block matches the search query and returns a relevance score.
+ * The scoring algorithm works as follows:
+ * - Returns 1 if no query (all blocks match equally)
+ * - Normalized query for case-insensitive matching
+ * - Returns 3 for exact substring matches in block name (highest priority)
+ * - Returns 2 when all query words appear in the block name (regardless of order)
+ * - Returns 1.X for blocks with names similar to query using Jaro-Winkler distance (X is similarity score)
+ * - Returns 0.5 when all query words appear in the block description (lowest priority)
+ * - Returns 0 for no match
+ *
+ * Higher scores will appear first in search results.
+ */
+function blockScoreForQuery(block: _Block, query: string): number {
+  if (!query) return 1;
+  const normalizedQuery = query.toLowerCase().trim();
+  const queryWords = normalizedQuery.split(/\s+/);
+
+  // Use cached values for performance
+  const { blockName, beautifiedName, description } = block._cached!;
+
+  // 1. Exact match in name (highest priority)
+  if (
+    blockName.includes(normalizedQuery) ||
+    beautifiedName.includes(normalizedQuery)
+  ) {
+    return 3;
+  }
+
+  // 2. All query words in name (regardless of order)
+  const allWordsInName = queryWords.every(
+    (word) => blockName.includes(word) || beautifiedName.includes(word),
+  );
+  if (allWordsInName) return 2;
+
+  // 3. Similarity with name (Jaro-Winkler)
+  const similarityThreshold = 0.65;
+  const nameSimilarity = jaro(blockName, normalizedQuery);
+  const beautifiedSimilarity = jaro(beautifiedName, normalizedQuery);
+  const maxSimilarity = Math.max(nameSimilarity, beautifiedSimilarity);
+  if (maxSimilarity > similarityThreshold) {
+    return 1 + maxSimilarity; // Score between 1 and 2
+  }
+
+  // 4. All query words in description (lower priority)
+  const allWordsInDescription = queryWords.every((word) =>
+    description.includes(word),
+  );
+  if (allWordsInDescription) return 0.5;
+
+  return 0;
+}
diff --git a/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx b/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx
index 1ebf7d7eee46..165187cecf05 100644
--- a/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx
+++ b/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx
@@ -1,4 +1,4 @@
-import React, { useCallback, useEffect } from "react";
+import React, { useEffect } from "react";
 import {
   Popover,
   PopoverContent,
@@ -15,13 +15,16 @@ import {
   TooltipContent,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
-import { useToast } from "@/components/ui/use-toast";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { useQueryClient } from "@tanstack/react-query";
+import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
 
 interface SaveControlProps {
   agentMeta: GraphMeta | null;
   agentName: string;
   agentDescription: string;
-  onSave: () => void;
+  canSave: boolean;
+  onSave: () => Promise<void>;
   onNameChange: (name: string) => void;
   onDescriptionChange: (description: string) => void;
   pinSavePopover: boolean;
@@ -31,6 +34,9 @@ interface SaveControlProps {
  * A SaveControl component to be used within the ControlPanel. It allows the user to save the agent.
  * @param {Object} SaveControlProps - The properties of the SaveControl component.
  * @param {GraphMeta | null} SaveControlProps.agentMeta - The agent's metadata, or null if creating a new agent.
+ * @param {string} SaveControlProps.agentName - The agent's name.
+ * @param {string} SaveControlProps.agentDescription - The agent's description.
+ * @param {boolean} SaveControlProps.canSave - Whether the button to save the agent should be enabled.
  * @param {() => void} SaveControlProps.onSave - Function to save the agent.
  * @param {(name: string) => void} SaveControlProps.onNameChange - Function to handle name changes.
  * @param {(description: string) => void} SaveControlProps.onDescriptionChange - Function to handle description changes.
@@ -38,6 +44,7 @@ interface SaveControlProps {
  */
 export const SaveControl = ({
   agentMeta,
+  canSave,
   onSave,
   agentName,
   onNameChange,
@@ -51,17 +58,17 @@ export const SaveControl = ({
    * We should migrate this to be handled with form controls and a form library.
    */
 
-  const handleSave = useCallback(() => {
-    onSave();
-  }, [onSave]);
-
   const { toast } = useToast();
+  const queryClient = useQueryClient();
 
   useEffect(() => {
-    const handleKeyDown = (event: KeyboardEvent) => {
+    const handleKeyDown = async (event: KeyboardEvent) => {
       if ((event.ctrlKey || event.metaKey) && event.key === "s") {
         event.preventDefault(); // Stop the browser default action
-        handleSave(); // Call your save function
+        await onSave(); // Call your save function
+        queryClient.invalidateQueries({
+          queryKey: getGetV2ListMySubmissionsQueryKey(),
+        });
         toast({
           duration: 2000,
           title: "All changes saved successfully!",
@@ -74,7 +81,7 @@ export const SaveControl = ({
     return () => {
       window.removeEventListener("keydown", handleKeyDown);
     };
-  }, [handleSave, toast]);
+  }, [onSave, toast]);
 
   return (
     <Popover open={pinSavePopover ? true : undefined}>
@@ -149,9 +156,10 @@ export const SaveControl = ({
           <CardFooter className="flex flex-col items-stretch gap-2">
             <Button
               className="w-full dark:bg-slate-700 dark:text-slate-100 dark:hover:bg-slate-800"
-              onClick={handleSave}
+              onClick={onSave}
               data-id="save-control-save-agent"
               data-testid="save-control-save-agent-button"
+              disabled={!canSave}
             >
               Save Agent
             </Button>
diff --git a/autogpt_platform/frontend/src/components/feature-flag/feature-flag-provider.tsx b/autogpt_platform/frontend/src/components/feature-flag/feature-flag-provider.tsx
deleted file mode 100644
index 682392a7eb3b..000000000000
--- a/autogpt_platform/frontend/src/components/feature-flag/feature-flag-provider.tsx
+++ /dev/null
@@ -1,17 +0,0 @@
-import { LDProvider } from "launchdarkly-react-client-sdk";
-import { ReactNode } from "react";
-
-export function LaunchDarklyProvider({ children }: { children: ReactNode }) {
-  if (
-    process.env.NEXT_PUBLIC_LAUNCHDARKLY_ENABLED === true &&
-    !process.env.NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID
-  ) {
-    throw new Error("NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID is not defined");
-  }
-
-  return (
-    <LDProvider clientSideID={process.env.NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID}>
-      {children}
-    </LDProvider>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/flow.css b/autogpt_platform/frontend/src/components/flow.css
index cafd54659f15..9786daaff9f9 100644
--- a/autogpt_platform/frontend/src/components/flow.css
+++ b/autogpt_platform/frontend/src/components/flow.css
@@ -1,14 +1,14 @@
 /* flow.css or index.css */
 
 body {
-  font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto",
-    "Oxygen", "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans",
-    "Helvetica Neue", sans-serif;
+  font-family:
+    -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", "Ubuntu",
+    "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue", sans-serif;
 }
 
 code {
-  font-family: source-code-pro, Menlo, Monaco, Consolas, "Courier New",
-    monospace;
+  font-family:
+    source-code-pro, Menlo, Monaco, Consolas, "Courier New", monospace;
 }
 
 .modal {
diff --git a/autogpt_platform/frontend/src/components/history.ts b/autogpt_platform/frontend/src/components/history.ts
index a9995c83e7a5..de0697a97e6e 100644
--- a/autogpt_platform/frontend/src/components/history.ts
+++ b/autogpt_platform/frontend/src/components/history.ts
@@ -1,4 +1,3 @@
-// history.ts
 import { CustomNodeData } from "./CustomNode";
 import { CustomEdgeData } from "./CustomEdge";
 import { Edge } from "@xyflow/react";
diff --git a/autogpt_platform/frontend/src/components/integrations/api-key-credentials-modal.tsx b/autogpt_platform/frontend/src/components/integrations/api-key-credentials-modal.tsx
new file mode 100644
index 000000000000..ace4a3253339
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/integrations/api-key-credentials-modal.tsx
@@ -0,0 +1,163 @@
+import { FC } from "react";
+import { z } from "zod";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import useCredentials from "@/hooks/useCredentials";
+import {
+  BlockIOCredentialsSubSchema,
+  CredentialsMetaInput,
+} from "@/lib/autogpt-server-api/types";
+
+export const APIKeyCredentialsModal: FC<{
+  schema: BlockIOCredentialsSubSchema;
+  open: boolean;
+  onClose: () => void;
+  onCredentialsCreate: (creds: CredentialsMetaInput) => void;
+  siblingInputs?: Record<string, any>;
+}> = ({ schema, open, onClose, onCredentialsCreate, siblingInputs }) => {
+  const credentials = useCredentials(schema, siblingInputs);
+
+  const formSchema = z.object({
+    apiKey: z.string().min(1, "API Key is required"),
+    title: z.string().min(1, "Name is required"),
+    expiresAt: z.string().optional(),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    defaultValues: {
+      apiKey: "",
+      title: "",
+      expiresAt: "",
+    },
+  });
+
+  if (!credentials || credentials.isLoading || !credentials.supportsApiKey) {
+    return null;
+  }
+
+  const { provider, providerName, createAPIKeyCredentials } = credentials;
+
+  async function onSubmit(values: z.infer<typeof formSchema>) {
+    const expiresAt = values.expiresAt
+      ? new Date(values.expiresAt).getTime() / 1000
+      : undefined;
+    const newCredentials = await createAPIKeyCredentials({
+      api_key: values.apiKey,
+      title: values.title,
+      expires_at: expiresAt,
+    });
+    onCredentialsCreate({
+      provider,
+      id: newCredentials.id,
+      type: "api_key",
+      title: newCredentials.title,
+    });
+  }
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) onClose();
+      }}
+    >
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>Add new API key for {providerName}</DialogTitle>
+          {schema.description && (
+            <DialogDescription>{schema.description}</DialogDescription>
+          )}
+        </DialogHeader>
+
+        <Form {...form}>
+          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+            <FormField
+              control={form.control}
+              name="apiKey"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>API Key</FormLabel>
+                  {schema.credentials_scopes && (
+                    <FormDescription>
+                      Required scope(s) for this block:{" "}
+                      {schema.credentials_scopes?.map((s, i, a) => (
+                        <span key={i}>
+                          <code>{s}</code>
+                          {i < a.length - 1 && ", "}
+                        </span>
+                      ))}
+                    </FormDescription>
+                  )}
+                  <FormControl>
+                    <Input
+                      type="password"
+                      placeholder="Enter API key..."
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="title"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Name</FormLabel>
+                  <FormControl>
+                    <Input
+                      type="text"
+                      placeholder="Enter a name for this API key..."
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="expiresAt"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Expiration Date (Optional)</FormLabel>
+                  <FormControl>
+                    <Input
+                      type="datetime-local"
+                      placeholder="Select expiration date..."
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <Button type="submit" className="w-full">
+              Save & use this API key
+            </Button>
+          </form>
+        </Form>
+      </DialogContent>
+    </Dialog>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/integrations/credentials-input.tsx b/autogpt_platform/frontend/src/components/integrations/credentials-input.tsx
index afd5949a51ee..e43c411740b3 100644
--- a/autogpt_platform/frontend/src/components/integrations/credentials-input.tsx
+++ b/autogpt_platform/frontend/src/components/integrations/credentials-input.tsx
@@ -1,35 +1,6 @@
-import { z } from "zod";
-import { cn } from "@/lib/utils";
-import { useForm } from "react-hook-form";
-import { Input } from "@/components/ui/input";
-import { Button } from "@/components/ui/button";
 import SchemaTooltip from "@/components/SchemaTooltip";
-import useCredentials from "@/hooks/useCredentials";
-import { zodResolver } from "@hookform/resolvers/zod";
-import { NotionLogoIcon } from "@radix-ui/react-icons";
-import { FaDiscord, FaGithub, FaGoogle, FaMedium, FaKey } from "react-icons/fa";
-import { FC, useState } from "react";
-import {
-  CredentialsMetaInput,
-  CredentialsProviderName,
-} from "@/lib/autogpt-server-api/types";
+import { Button } from "@/components/ui/button";
 import { IconKey, IconKeyPlus, IconUserPlus } from "@/components/ui/icons";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogHeader,
-  DialogTitle,
-} from "@/components/ui/dialog";
-import {
-  Form,
-  FormControl,
-  FormDescription,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from "@/components/ui/form";
 import {
   Select,
   SelectContent,
@@ -38,39 +9,76 @@ import {
   SelectTrigger,
   SelectValue,
 } from "@/components/ui/select";
+import useCredentials from "@/hooks/useCredentials";
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import {
+  BlockIOCredentialsSubSchema,
+  CredentialsMetaInput,
+} from "@/lib/autogpt-server-api/types";
+import { cn } from "@/lib/utils";
+import { getHostFromUrl } from "@/lib/utils/url";
+import { NotionLogoIcon } from "@radix-ui/react-icons";
+import { FC, useEffect, useMemo, useState } from "react";
+import {
+  FaDiscord,
+  FaGithub,
+  FaGoogle,
+  FaHubspot,
+  FaKey,
+  FaMedium,
+  FaTwitter,
+} from "react-icons/fa";
+import { APIKeyCredentialsModal } from "./api-key-credentials-modal";
+import { HostScopedCredentialsModal } from "./host-scoped-credentials-modal";
+import { OAuth2FlowWaitingModal } from "./oauth2-flow-waiting-modal";
+import { UserPasswordCredentialsModal } from "./user-password-credentials-modal";
 
 const fallbackIcon = FaKey;
 
 // --8<-- [start:ProviderIconsEmbed]
-export const providerIcons: Record<
-  CredentialsProviderName,
-  React.FC<{ className?: string }>
+// Provider icons mapping - uses fallback for unknown providers
+export const providerIcons: Partial<
+  Record<string, React.FC<{ className?: string }>>
 > = {
+  aiml_api: fallbackIcon,
   anthropic: fallbackIcon,
+  apollo: fallbackIcon,
   e2b: fallbackIcon,
   github: FaGithub,
   google: FaGoogle,
   groq: fallbackIcon,
+  http: fallbackIcon,
   notion: NotionLogoIcon,
+  nvidia: fallbackIcon,
   discord: FaDiscord,
   d_id: fallbackIcon,
   google_maps: FaGoogle,
   jina: fallbackIcon,
   ideogram: fallbackIcon,
+  linear: fallbackIcon,
   medium: FaMedium,
+  mem0: fallbackIcon,
   ollama: fallbackIcon,
   openai: fallbackIcon,
   openweathermap: fallbackIcon,
   open_router: fallbackIcon,
+  llama_api: fallbackIcon,
   pinecone: fallbackIcon,
+  enrichlayer: fallbackIcon,
   slant3d: fallbackIcon,
+  screenshotone: fallbackIcon,
+  smtp: fallbackIcon,
   replicate: fallbackIcon,
+  reddit: fallbackIcon,
   fal: fallbackIcon,
   revid: fallbackIcon,
+  twitter: FaTwitter,
   unreal_speech: fallbackIcon,
   exa: fallbackIcon,
-  hubspot: fallbackIcon,
+  hubspot: FaHubspot,
+  smartlead: fallbackIcon,
+  todoist: fallbackIcon,
+  zerobounce: fallbackIcon,
 };
 // --8<-- [end:ProviderIconsEmbed]
 
@@ -87,31 +95,93 @@ export type OAuthPopupResultMessage = { message_type: "oauth_popup_result" } & (
 );
 
 export const CredentialsInput: FC<{
+  schema: BlockIOCredentialsSubSchema;
   className?: string;
   selectedCredentials?: CredentialsMetaInput;
   onSelectCredentials: (newValue?: CredentialsMetaInput) => void;
-}> = ({ className, selectedCredentials, onSelectCredentials }) => {
-  const api = useBackendAPI();
-  const credentials = useCredentials();
+  siblingInputs?: Record<string, any>;
+  hideIfSingleCredentialAvailable?: boolean;
+}> = ({
+  schema,
+  className,
+  selectedCredentials,
+  onSelectCredentials,
+  siblingInputs,
+  hideIfSingleCredentialAvailable = true,
+}) => {
   const [isAPICredentialsModalOpen, setAPICredentialsModalOpen] =
     useState(false);
+  const [
+    isUserPasswordCredentialsModalOpen,
+    setUserPasswordCredentialsModalOpen,
+  ] = useState(false);
+  const [isHostScopedCredentialsModalOpen, setHostScopedCredentialsModalOpen] =
+    useState(false);
   const [isOAuth2FlowInProgress, setOAuth2FlowInProgress] = useState(false);
   const [oAuthPopupController, setOAuthPopupController] =
     useState<AbortController | null>(null);
   const [oAuthError, setOAuthError] = useState<string | null>(null);
 
-  if (!credentials || credentials.isLoading) {
+  const api = useBackendAPI();
+  const credentials = useCredentials(schema, siblingInputs);
+
+  // Deselect credentials if they do not exist (e.g. provider was changed)
+  useEffect(() => {
+    if (!credentials || !("savedCredentials" in credentials)) return;
+    if (
+      selectedCredentials &&
+      !credentials.savedCredentials.some((c) => c.id === selectedCredentials.id)
+    ) {
+      onSelectCredentials(undefined);
+    }
+  }, [credentials, selectedCredentials, onSelectCredentials]);
+
+  const { hasRelevantCredentials, singleCredential } = useMemo(() => {
+    if (!credentials || !("savedCredentials" in credentials)) {
+      return {
+        hasRelevantCredentials: false,
+        singleCredential: null,
+      };
+    }
+
+    // Simple logic: if we have any saved credentials, we have relevant credentials
+    const hasRelevant = credentials.savedCredentials.length > 0;
+
+    // Auto-select single credential if only one exists
+    const single =
+      credentials.savedCredentials.length === 1
+        ? credentials.savedCredentials[0]
+        : null;
+
+    return {
+      hasRelevantCredentials: hasRelevant,
+      singleCredential: single,
+    };
+  }, [credentials]);
+
+  // If only 1 credential is available, auto-select it and hide this input
+  useEffect(() => {
+    if (singleCredential && !selectedCredentials) {
+      onSelectCredentials(singleCredential);
+    }
+  }, [singleCredential, selectedCredentials, onSelectCredentials]);
+
+  if (
+    !credentials ||
+    credentials.isLoading ||
+    (singleCredential && hideIfSingleCredentialAvailable)
+  ) {
     return null;
   }
 
   const {
-    schema,
     provider,
     providerName,
     supportsApiKey,
     supportsOAuth2,
-    savedApiKeys,
-    savedOAuthCredentials,
+    supportsUserPassword,
+    supportsHostScoped,
+    savedCredentials,
     oAuthCallback,
   } = credentials;
 
@@ -204,17 +274,19 @@ export const CredentialsInput: FC<{
     );
   }
 
-  const ProviderIcon = providerIcons[provider];
+  const ProviderIcon = providerIcons[provider] || fallbackIcon;
   const modals = (
     <>
       {supportsApiKey && (
         <APIKeyCredentialsModal
+          schema={schema}
           open={isAPICredentialsModalOpen}
           onClose={() => setAPICredentialsModalOpen(false)}
           onCredentialsCreate={(credsMeta) => {
             onSelectCredentials(credsMeta);
             setAPICredentialsModalOpen(false);
           }}
+          siblingInputs={siblingInputs}
         />
       )}
       {supportsOAuth2 && (
@@ -224,27 +296,48 @@ export const CredentialsInput: FC<{
           providerName={providerName}
         />
       )}
+      {supportsUserPassword && (
+        <UserPasswordCredentialsModal
+          schema={schema}
+          open={isUserPasswordCredentialsModalOpen}
+          onClose={() => setUserPasswordCredentialsModalOpen(false)}
+          onCredentialsCreate={(creds) => {
+            onSelectCredentials(creds);
+            setUserPasswordCredentialsModalOpen(false);
+          }}
+          siblingInputs={siblingInputs}
+        />
+      )}
+      {supportsHostScoped && (
+        <HostScopedCredentialsModal
+          schema={schema}
+          open={isHostScopedCredentialsModalOpen}
+          onClose={() => setHostScopedCredentialsModalOpen(false)}
+          onCredentialsCreate={(creds) => {
+            onSelectCredentials(creds);
+            setHostScopedCredentialsModalOpen(false);
+          }}
+          siblingInputs={siblingInputs}
+        />
+      )}
     </>
   );
 
-  // Deselect credentials if they do not exist (e.g. provider was changed)
-  if (
-    selectedCredentials &&
-    !savedApiKeys
-      .concat(savedOAuthCredentials)
-      .some((c) => c.id === selectedCredentials.id)
-  ) {
-    onSelectCredentials(undefined);
-  }
+  const fieldHeader = (
+    <div className="mb-2 flex gap-1">
+      <span className="text-m green text-gray-900">
+        {providerName} Credentials
+      </span>
+      <SchemaTooltip description={schema.description} />
+    </div>
+  );
 
-  // No saved credentials yet
-  if (savedApiKeys.length === 0 && savedOAuthCredentials.length === 0) {
+  // Show credentials creation UI when no relevant credentials exist
+  if (!hasRelevantCredentials) {
     return (
-      <>
-        <div className="mb-2 flex gap-1">
-          <span className="text-m green text-gray-900">Credentials</span>
-          <SchemaTooltip description={schema.description} />
-        </div>
+      <div>
+        {fieldHeader}
+
         <div className={cn("flex flex-row space-x-2", className)}>
           {supportsOAuth2 && (
             <Button onClick={handleOAuthLogin}>
@@ -258,34 +351,27 @@ export const CredentialsInput: FC<{
               Enter API key
             </Button>
           )}
+          {supportsUserPassword && (
+            <Button onClick={() => setUserPasswordCredentialsModalOpen(true)}>
+              <ProviderIcon className="mr-2 h-4 w-4" />
+              Enter username and password
+            </Button>
+          )}
+          {supportsHostScoped && credentials.discriminatorValue && (
+            <Button onClick={() => setHostScopedCredentialsModalOpen(true)}>
+              <ProviderIcon className="mr-2 h-4 w-4" />
+              {`Enter sensitive headers for ${getHostFromUrl(credentials.discriminatorValue)}`}
+            </Button>
+          )}
         </div>
         {modals}
         {oAuthError && (
           <div className="mt-2 text-red-500">Error: {oAuthError}</div>
         )}
-      </>
+      </div>
     );
   }
 
-  const singleCredential =
-    savedApiKeys.length === 1 && savedOAuthCredentials.length === 0
-      ? savedApiKeys[0]
-      : savedOAuthCredentials.length === 1 && savedApiKeys.length === 0
-        ? savedOAuthCredentials[0]
-        : null;
-
-  if (singleCredential) {
-    if (!selectedCredentials) {
-      onSelectCredentials({
-        id: singleCredential.id,
-        type: singleCredential.type,
-        provider,
-        title: singleCredential.title,
-      });
-    }
-    return null;
-  }
-
   function handleValueChange(newValue: string) {
     if (newValue === "sign-in") {
       // Trigger OAuth2 sign in flow
@@ -293,10 +379,14 @@ export const CredentialsInput: FC<{
     } else if (newValue === "add-api-key") {
       // Open API key dialog
       setAPICredentialsModalOpen(true);
+    } else if (newValue === "add-user-password") {
+      // Open user password dialog
+      setUserPasswordCredentialsModalOpen(true);
+    } else if (newValue === "add-host-scoped") {
+      // Open host-scoped credentials dialog
+      setHostScopedCredentialsModalOpen(true);
     } else {
-      const selectedCreds = savedApiKeys
-        .concat(savedOAuthCredentials)
-        .find((c) => c.id == newValue)!;
+      const selectedCreds = savedCredentials.find((c) => c.id == newValue)!;
 
       onSelectCredentials({
         id: selectedCreds.id,
@@ -309,26 +399,51 @@ export const CredentialsInput: FC<{
 
   // Saved credentials exist
   return (
-    <>
-      <span className="text-m green mb-0 text-gray-900">Credentials</span>
+    <div>
+      {fieldHeader}
+
       <Select value={selectedCredentials?.id} onValueChange={handleValueChange}>
         <SelectTrigger>
           <SelectValue placeholder={schema.placeholder} />
         </SelectTrigger>
         <SelectContent className="nodrag">
-          {savedOAuthCredentials.map((credentials, index) => (
-            <SelectItem key={index} value={credentials.id}>
-              <ProviderIcon className="mr-2 inline h-4 w-4" />
-              {credentials.username}
-            </SelectItem>
-          ))}
-          {savedApiKeys.map((credentials, index) => (
-            <SelectItem key={index} value={credentials.id}>
-              <ProviderIcon className="mr-2 inline h-4 w-4" />
-              <IconKey className="mr-1.5 inline" />
-              {credentials.title}
-            </SelectItem>
-          ))}
+          {savedCredentials
+            .filter((c) => c.type == "oauth2")
+            .map((credentials, index) => (
+              <SelectItem key={index} value={credentials.id}>
+                <ProviderIcon className="mr-2 inline h-4 w-4" />
+                {credentials.title ||
+                  credentials.username ||
+                  `Your ${providerName} account`}
+              </SelectItem>
+            ))}
+          {savedCredentials
+            .filter((c) => c.type == "api_key")
+            .map((credentials, index) => (
+              <SelectItem key={index} value={credentials.id}>
+                <ProviderIcon className="mr-2 inline h-4 w-4" />
+                <IconKey className="mr-1.5 inline" />
+                {credentials.title}
+              </SelectItem>
+            ))}
+          {savedCredentials
+            .filter((c) => c.type == "user_password")
+            .map((credentials, index) => (
+              <SelectItem key={index} value={credentials.id}>
+                <ProviderIcon className="mr-2 inline h-4 w-4" />
+                <IconUserPlus className="mr-1.5 inline" />
+                {credentials.title}
+              </SelectItem>
+            ))}
+          {savedCredentials
+            .filter((c) => c.type == "host_scoped")
+            .map((credentials, index) => (
+              <SelectItem key={index} value={credentials.id}>
+                <ProviderIcon className="mr-2 inline h-4 w-4" />
+                <IconKey className="mr-1.5 inline" />
+                {credentials.title}
+              </SelectItem>
+            ))}
           <SelectSeparator />
           {supportsOAuth2 && (
             <SelectItem value="sign-in">
@@ -342,175 +457,24 @@ export const CredentialsInput: FC<{
               Add new API key
             </SelectItem>
           )}
+          {supportsUserPassword && (
+            <SelectItem value="add-user-password">
+              <IconUserPlus className="mr-1.5 inline" />
+              Add new user password
+            </SelectItem>
+          )}
+          {supportsHostScoped && (
+            <SelectItem value="add-host-scoped">
+              <IconKey className="mr-1.5 inline" />
+              Add host-scoped headers
+            </SelectItem>
+          )}
         </SelectContent>
       </Select>
       {modals}
       {oAuthError && (
         <div className="mt-2 text-red-500">Error: {oAuthError}</div>
       )}
-    </>
-  );
-};
-
-export const APIKeyCredentialsModal: FC<{
-  open: boolean;
-  onClose: () => void;
-  onCredentialsCreate: (creds: CredentialsMetaInput) => void;
-}> = ({ open, onClose, onCredentialsCreate }) => {
-  const credentials = useCredentials();
-
-  const formSchema = z.object({
-    apiKey: z.string().min(1, "API Key is required"),
-    title: z.string().min(1, "Name is required"),
-    expiresAt: z.string().optional(),
-  });
-
-  const form = useForm<z.infer<typeof formSchema>>({
-    resolver: zodResolver(formSchema),
-    defaultValues: {
-      apiKey: "",
-      title: "",
-      expiresAt: "",
-    },
-  });
-
-  if (!credentials || credentials.isLoading || !credentials.supportsApiKey) {
-    return null;
-  }
-
-  const { schema, provider, providerName, createAPIKeyCredentials } =
-    credentials;
-
-  async function onSubmit(values: z.infer<typeof formSchema>) {
-    const expiresAt = values.expiresAt
-      ? new Date(values.expiresAt).getTime() / 1000
-      : undefined;
-    const newCredentials = await createAPIKeyCredentials({
-      api_key: values.apiKey,
-      title: values.title,
-      expires_at: expiresAt,
-    });
-    onCredentialsCreate({
-      provider,
-      id: newCredentials.id,
-      type: "api_key",
-      title: newCredentials.title,
-    });
-  }
-
-  return (
-    <Dialog
-      open={open}
-      onOpenChange={(open) => {
-        if (!open) onClose();
-      }}
-    >
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>Add new API key for {providerName}</DialogTitle>
-          {schema.description && (
-            <DialogDescription>{schema.description}</DialogDescription>
-          )}
-        </DialogHeader>
-
-        <Form {...form}>
-          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
-            <FormField
-              control={form.control}
-              name="apiKey"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>API Key</FormLabel>
-                  {schema.credentials_scopes && (
-                    <FormDescription>
-                      Required scope(s) for this block:{" "}
-                      {schema.credentials_scopes?.map((s, i, a) => (
-                        <span key={i}>
-                          <code>{s}</code>
-                          {i < a.length - 1 && ", "}
-                        </span>
-                      ))}
-                    </FormDescription>
-                  )}
-                  <FormControl>
-                    <Input
-                      type="password"
-                      placeholder="Enter API key..."
-                      {...field}
-                    />
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <FormField
-              control={form.control}
-              name="title"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>Name</FormLabel>
-                  <FormControl>
-                    <Input
-                      type="text"
-                      placeholder="Enter a name for this API key..."
-                      {...field}
-                    />
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <FormField
-              control={form.control}
-              name="expiresAt"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>Expiration Date (Optional)</FormLabel>
-                  <FormControl>
-                    <Input
-                      type="datetime-local"
-                      placeholder="Select expiration date..."
-                      {...field}
-                    />
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <Button type="submit" className="w-full">
-              Save & use this API key
-            </Button>
-          </form>
-        </Form>
-      </DialogContent>
-    </Dialog>
-  );
-};
-
-export const OAuth2FlowWaitingModal: FC<{
-  open: boolean;
-  onClose: () => void;
-  providerName: string;
-}> = ({ open, onClose, providerName }) => {
-  return (
-    <Dialog
-      open={open}
-      onOpenChange={(open) => {
-        if (!open) onClose();
-      }}
-    >
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>
-            Waiting on {providerName} sign-in process...
-          </DialogTitle>
-          <DialogDescription>
-            Complete the sign-in process in the pop-up window.
-            <br />
-            Closing this dialog will cancel the sign-in process.
-          </DialogDescription>
-        </DialogHeader>
-      </DialogContent>
-    </Dialog>
+    </div>
   );
 };
diff --git a/autogpt_platform/frontend/src/components/integrations/credentials-provider.tsx b/autogpt_platform/frontend/src/components/integrations/credentials-provider.tsx
index 6762f99ad621..abf081ab6d3b 100644
--- a/autogpt_platform/frontend/src/components/integrations/credentials-provider.tsx
+++ b/autogpt_platform/frontend/src/components/integrations/credentials-provider.tsx
@@ -1,58 +1,37 @@
+import { createContext, useCallback, useEffect, useState } from "react";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
 import {
   APIKeyCredentials,
   CredentialsDeleteNeedConfirmationResponse,
   CredentialsDeleteResponse,
   CredentialsMetaResponse,
   CredentialsProviderName,
-  PROVIDER_NAMES,
+  HostScopedCredentials,
+  UserPasswordCredentials,
 } from "@/lib/autogpt-server-api";
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-import { createContext, useCallback, useEffect, useState } from "react";
-
-// Get keys from CredentialsProviderName type
-const CREDENTIALS_PROVIDER_NAMES = Object.values(
-  PROVIDER_NAMES,
-) as CredentialsProviderName[];
-
-// --8<-- [start:CredentialsProviderNames]
-const providerDisplayNames: Record<CredentialsProviderName, string> = {
-  anthropic: "Anthropic",
-  discord: "Discord",
-  d_id: "D-ID",
-  e2b: "E2B",
-  github: "GitHub",
-  google: "Google",
-  google_maps: "Google Maps",
-  groq: "Groq",
-  ideogram: "Ideogram",
-  jina: "Jina",
-  medium: "Medium",
-  notion: "Notion",
-  ollama: "Ollama",
-  openai: "OpenAI",
-  openweathermap: "OpenWeatherMap",
-  open_router: "Open Router",
-  pinecone: "Pinecone",
-  slant3d: "Slant3D",
-  replicate: "Replicate",
-  fal: "FAL",
-  revid: "Rev.ID",
-  unreal_speech: "Unreal Speech",
-  exa: "Exa",
-  hubspot: "Hubspot",
-} as const;
-// --8<-- [end:CredentialsProviderNames]
+import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
+import { toDisplayName } from "@/components/integrations/helper";
 
 type APIKeyCredentialsCreatable = Omit<
   APIKeyCredentials,
   "id" | "provider" | "type"
 >;
 
+type UserPasswordCredentialsCreatable = Omit<
+  UserPasswordCredentials,
+  "id" | "provider" | "type"
+>;
+
+type HostScopedCredentialsCreatable = Omit<
+  HostScopedCredentials,
+  "id" | "provider" | "type"
+>;
+
 export type CredentialsProviderData = {
   provider: CredentialsProviderName;
   providerName: string;
-  savedApiKeys: CredentialsMetaResponse[];
-  savedOAuthCredentials: CredentialsMetaResponse[];
+  savedCredentials: CredentialsMetaResponse[];
   oAuthCallback: (
     code: string,
     state_token: string,
@@ -60,6 +39,12 @@ export type CredentialsProviderData = {
   createAPIKeyCredentials: (
     credentials: APIKeyCredentialsCreatable,
   ) => Promise<CredentialsMetaResponse>;
+  createUserPasswordCredentials: (
+    credentials: UserPasswordCredentialsCreatable,
+  ) => Promise<CredentialsMetaResponse>;
+  createHostScopedCredentials: (
+    credentials: HostScopedCredentialsCreatable,
+  ) => Promise<CredentialsMetaResponse>;
   deleteCredentials: (
     id: string,
     force?: boolean,
@@ -82,7 +67,10 @@ export default function CredentialsProvider({
 }) {
   const [providers, setProviders] =
     useState<CredentialsProvidersContextType | null>(null);
+  const [providerNames, setProviderNames] = useState<string[]>([]);
+  const { isLoggedIn } = useSupabase();
   const api = useBackendAPI();
+  const onFailToast = useToastOnFail();
 
   const addCredentials = useCallback(
     (
@@ -92,23 +80,12 @@ export default function CredentialsProvider({
       setProviders((prev) => {
         if (!prev || !prev[provider]) return prev;
 
-        const updatedProvider = { ...prev[provider] };
-
-        if (credentials.type === "api_key") {
-          updatedProvider.savedApiKeys = [
-            ...updatedProvider.savedApiKeys,
-            credentials,
-          ];
-        } else if (credentials.type === "oauth2") {
-          updatedProvider.savedOAuthCredentials = [
-            ...updatedProvider.savedOAuthCredentials,
-            credentials,
-          ];
-        }
-
         return {
           ...prev,
-          [provider]: updatedProvider,
+          [provider]: {
+            ...prev[provider],
+            savedCredentials: [...prev[provider].savedCredentials, credentials],
+          },
         };
       });
     },
@@ -122,11 +99,20 @@ export default function CredentialsProvider({
       code: string,
       state_token: string,
     ): Promise<CredentialsMetaResponse> => {
-      const credsMeta = await api.oAuthCallback(provider, code, state_token);
-      addCredentials(provider, credsMeta);
-      return credsMeta;
+      try {
+        const credsMeta = await api.oAuthCallback(
+          provider as string,
+          code,
+          state_token,
+        );
+        addCredentials(provider as string, credsMeta);
+        return credsMeta;
+      } catch (error) {
+        onFailToast("complete OAuth authentication")(error);
+        throw error;
+      }
     },
-    [api, addCredentials],
+    [api, addCredentials, onFailToast],
   );
 
   /** Wraps `BackendAPI.createAPIKeyCredentials`, and adds the result to the internal credentials store. */
@@ -135,14 +121,61 @@ export default function CredentialsProvider({
       provider: CredentialsProviderName,
       credentials: APIKeyCredentialsCreatable,
     ): Promise<CredentialsMetaResponse> => {
-      const credsMeta = await api.createAPIKeyCredentials({
-        provider,
-        ...credentials,
-      });
-      addCredentials(provider, credsMeta);
-      return credsMeta;
+      try {
+        const credsMeta = await api.createAPIKeyCredentials({
+          provider,
+          ...credentials,
+        });
+        addCredentials(provider, credsMeta);
+        return credsMeta;
+      } catch (error) {
+        onFailToast("create API key credentials")(error);
+        throw error;
+      }
+    },
+    [api, addCredentials, onFailToast],
+  );
+
+  /** Wraps `BackendAPI.createUserPasswordCredentials`, and adds the result to the internal credentials store. */
+  const createUserPasswordCredentials = useCallback(
+    async (
+      provider: CredentialsProviderName,
+      credentials: UserPasswordCredentialsCreatable,
+    ): Promise<CredentialsMetaResponse> => {
+      try {
+        const credsMeta = await api.createUserPasswordCredentials({
+          provider,
+          ...credentials,
+        });
+        addCredentials(provider, credsMeta);
+        return credsMeta;
+      } catch (error) {
+        onFailToast("create user/password credentials")(error);
+        throw error;
+      }
     },
-    [api, addCredentials],
+    [api, addCredentials, onFailToast],
+  );
+
+  /** Wraps `BackendAPI.createHostScopedCredentials`, and adds the result to the internal credentials store. */
+  const createHostScopedCredentials = useCallback(
+    async (
+      provider: CredentialsProviderName,
+      credentials: HostScopedCredentialsCreatable,
+    ): Promise<CredentialsMetaResponse> => {
+      try {
+        const credsMeta = await api.createHostScopedCredentials({
+          provider,
+          ...credentials,
+        });
+        addCredentials(provider, credsMeta);
+        return credsMeta;
+      } catch (error) {
+        onFailToast("create host-scoped credentials")(error);
+        throw error;
+      }
+    },
+    [api, addCredentials, onFailToast],
   );
 
   /** Wraps `BackendAPI.deleteCredentials`, and removes the credentials from the internal store. */
@@ -154,96 +187,106 @@ export default function CredentialsProvider({
     ): Promise<
       CredentialsDeleteResponse | CredentialsDeleteNeedConfirmationResponse
     > => {
-      const result = await api.deleteCredentials(provider, id, force);
-      if (!result.deleted) {
-        return result;
-      }
-      setProviders((prev) => {
-        if (!prev || !prev[provider]) return prev;
-
-        const updatedProvider = { ...prev[provider] };
-        updatedProvider.savedApiKeys = updatedProvider.savedApiKeys.filter(
-          (cred) => cred.id !== id,
+      try {
+        const result = await api.deleteCredentials(
+          provider as string,
+          id,
+          force,
         );
-        updatedProvider.savedOAuthCredentials =
-          updatedProvider.savedOAuthCredentials.filter(
-            (cred) => cred.id !== id,
-          );
+        if (!result.deleted) {
+          return result;
+        }
+        setProviders((prev) => {
+          if (!prev || !prev[provider]) return prev;
 
-        return {
-          ...prev,
-          [provider]: updatedProvider,
-        };
-      });
-      return result;
+          return {
+            ...prev,
+            [provider]: {
+              ...prev[provider]!,
+              savedCredentials: prev[provider]!.savedCredentials.filter(
+                (cred) => cred.id !== id,
+              ),
+            },
+          };
+        });
+        return result;
+      } catch (error) {
+        onFailToast("delete credentials")(error);
+        throw error;
+      }
     },
-    [api],
+    [api, onFailToast],
   );
 
+  // Fetch provider names on mount
+  useEffect(() => {
+    api
+      .listProviders()
+      .then((names) => {
+        setProviderNames(names);
+      })
+      .catch(onFailToast("load provider names"));
+  }, [api, onFailToast]);
+
   useEffect(() => {
-    api.isAuthenticated().then((isAuthenticated) => {
-      if (!isAuthenticated) return;
+    if (!isLoggedIn || providerNames.length === 0) {
+      if (isLoggedIn == false) setProviders({});
+      return;
+    }
 
-      api.listCredentials().then((response) => {
+    api
+      .listCredentials()
+      .then((response) => {
         const credentialsByProvider = response.reduce(
           (acc, cred) => {
             if (!acc[cred.provider]) {
-              acc[cred.provider] = { oauthCreds: [], apiKeys: [] };
-            }
-            if (cred.type === "oauth2") {
-              acc[cred.provider].oauthCreds.push(cred);
-            } else if (cred.type === "api_key") {
-              acc[cred.provider].apiKeys.push(cred);
+              acc[cred.provider] = [];
             }
+            acc[cred.provider].push(cred);
             return acc;
           },
-          {} as Record<
-            CredentialsProviderName,
-            {
-              oauthCreds: CredentialsMetaResponse[];
-              apiKeys: CredentialsMetaResponse[];
-            }
-          >,
+          {} as Record<CredentialsProviderName, CredentialsMetaResponse[]>,
         );
 
         setProviders((prev) => ({
           ...prev,
           ...Object.fromEntries(
-            CREDENTIALS_PROVIDER_NAMES.map((provider) => [
+            providerNames.map((provider) => [
               provider,
               {
                 provider,
-                providerName:
-                  providerDisplayNames[provider as CredentialsProviderName],
-                savedApiKeys: credentialsByProvider[provider]?.apiKeys ?? [],
-                savedOAuthCredentials:
-                  credentialsByProvider[provider]?.oauthCreds ?? [],
+                providerName: toDisplayName(provider as string),
+                savedCredentials: credentialsByProvider[provider] ?? [],
                 oAuthCallback: (code: string, state_token: string) =>
-                  oAuthCallback(
-                    provider as CredentialsProviderName,
-                    code,
-                    state_token,
-                  ),
+                  oAuthCallback(provider, code, state_token),
                 createAPIKeyCredentials: (
                   credentials: APIKeyCredentialsCreatable,
-                ) =>
-                  createAPIKeyCredentials(
-                    provider as CredentialsProviderName,
-                    credentials,
-                  ),
+                ) => createAPIKeyCredentials(provider, credentials),
+                createUserPasswordCredentials: (
+                  credentials: UserPasswordCredentialsCreatable,
+                ) => createUserPasswordCredentials(provider, credentials),
+                createHostScopedCredentials: (
+                  credentials: HostScopedCredentialsCreatable,
+                ) => createHostScopedCredentials(provider, credentials),
                 deleteCredentials: (id: string, force: boolean = false) =>
-                  deleteCredentials(
-                    provider as CredentialsProviderName,
-                    id,
-                    force,
-                  ),
-              },
+                  deleteCredentials(provider, id, force),
+              } satisfies CredentialsProviderData,
             ]),
           ),
         }));
-      });
-    });
-  }, [api, createAPIKeyCredentials, deleteCredentials, oAuthCallback]);
+      })
+      .catch(onFailToast("load credentials"));
+  }, [
+    api,
+    isLoggedIn,
+    providerNames,
+    createAPIKeyCredentials,
+    createUserPasswordCredentials,
+    createHostScopedCredentials,
+    deleteCredentials,
+    oAuthCallback,
+    onFailToast,
+  ]);
 
   return (
     <CredentialsProvidersContext.Provider value={providers}>
diff --git a/autogpt_platform/frontend/src/components/integrations/helper.ts b/autogpt_platform/frontend/src/components/integrations/helper.ts
new file mode 100644
index 000000000000..49aa6a878ee7
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/integrations/helper.ts
@@ -0,0 +1,27 @@
+// --8<-- [start:CredentialsProviderNames]
+// Helper function to convert provider names to display names
+export function toDisplayName(provider: string): string {
+  // Special cases that need manual handling
+  const specialCases: Record<string, string> = {
+    aiml_api: "AI/ML",
+    d_id: "D-ID",
+    e2b: "E2B",
+    llama_api: "Llama API",
+    open_router: "Open Router",
+    smtp: "SMTP",
+    revid: "Rev.ID",
+  };
+
+  if (specialCases[provider]) {
+    return specialCases[provider];
+  }
+
+  // General case: convert snake_case to Title Case
+  return provider
+    .split(/[_-]/)
+    .map((word) => word.charAt(0).toUpperCase() + word.slice(1).toLowerCase())
+    .join(" ");
+}
+
+// Provider display names are now generated dynamically by toDisplayName function
+// --8<-- [end:CredentialsProviderNames]
diff --git a/autogpt_platform/frontend/src/components/integrations/host-scoped-credentials-modal.tsx b/autogpt_platform/frontend/src/components/integrations/host-scoped-credentials-modal.tsx
new file mode 100644
index 000000000000..ffdf35569dbc
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/integrations/host-scoped-credentials-modal.tsx
@@ -0,0 +1,235 @@
+import { FC, useEffect, useState } from "react";
+import { z } from "zod";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import useCredentials from "@/hooks/useCredentials";
+import {
+  BlockIOCredentialsSubSchema,
+  CredentialsMetaInput,
+} from "@/lib/autogpt-server-api/types";
+import { getHostFromUrl } from "@/lib/utils/url";
+
+export const HostScopedCredentialsModal: FC<{
+  schema: BlockIOCredentialsSubSchema;
+  open: boolean;
+  onClose: () => void;
+  onCredentialsCreate: (creds: CredentialsMetaInput) => void;
+  siblingInputs?: Record<string, any>;
+}> = ({ schema, open, onClose, onCredentialsCreate, siblingInputs }) => {
+  const credentials = useCredentials(schema, siblingInputs);
+
+  // Get current host from siblingInputs or discriminator_values
+  const currentUrl = credentials?.discriminatorValue;
+  const currentHost = currentUrl ? getHostFromUrl(currentUrl) : "";
+
+  const formSchema = z.object({
+    host: z.string().min(1, "Host is required"),
+    title: z.string().optional(),
+    headers: z.record(z.string()).optional(),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    defaultValues: {
+      host: currentHost || "",
+      title: currentHost || "Manual Entry",
+      headers: {},
+    },
+  });
+
+  const [headerPairs, setHeaderPairs] = useState<
+    Array<{ key: string; value: string }>
+  >([{ key: "", value: "" }]);
+
+  // Update form values when siblingInputs change
+  useEffect(() => {
+    if (currentHost) {
+      form.setValue("host", currentHost);
+      form.setValue("title", currentHost);
+    } else {
+      // Reset to empty when no current host
+      form.setValue("host", "");
+      form.setValue("title", "Manual Entry");
+    }
+  }, [currentHost, form]);
+
+  if (
+    !credentials ||
+    credentials.isLoading ||
+    !credentials.supportsHostScoped
+  ) {
+    return null;
+  }
+
+  const { provider, providerName, createHostScopedCredentials } = credentials;
+
+  const addHeaderPair = () => {
+    setHeaderPairs([...headerPairs, { key: "", value: "" }]);
+  };
+
+  const removeHeaderPair = (index: number) => {
+    if (headerPairs.length > 1) {
+      setHeaderPairs(headerPairs.filter((_, i) => i !== index));
+    }
+  };
+
+  const updateHeaderPair = (
+    index: number,
+    field: "key" | "value",
+    value: string,
+  ) => {
+    const newPairs = [...headerPairs];
+    newPairs[index][field] = value;
+    setHeaderPairs(newPairs);
+  };
+
+  async function onSubmit(values: z.infer<typeof formSchema>) {
+    // Convert header pairs to object, filtering out empty pairs
+    const headers = headerPairs.reduce(
+      (acc, pair) => {
+        if (pair.key.trim() && pair.value.trim()) {
+          acc[pair.key.trim()] = pair.value.trim();
+        }
+        return acc;
+      },
+      {} as Record<string, string>,
+    );
+
+    const newCredentials = await createHostScopedCredentials({
+      host: values.host,
+      title: currentHost || values.host,
+      headers,
+    });
+
+    onCredentialsCreate({
+      provider,
+      id: newCredentials.id,
+      type: "host_scoped",
+      title: newCredentials.title,
+    });
+  }
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) onClose();
+      }}
+    >
+      <DialogContent className="max-h-[90vh] max-w-2xl overflow-y-auto">
+        <DialogHeader>
+          <DialogTitle>Add sensitive headers for {providerName}</DialogTitle>
+          {schema.description && (
+            <DialogDescription>{schema.description}</DialogDescription>
+          )}
+        </DialogHeader>
+
+        <Form {...form}>
+          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+            <FormField
+              control={form.control}
+              name="host"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Host Pattern</FormLabel>
+                  <FormDescription>
+                    {currentHost
+                      ? "Auto-populated from the URL field. Headers will be applied to requests to this host."
+                      : "Enter the host/domain to match against request URLs (e.g., api.example.com)."}
+                  </FormDescription>
+                  <FormControl>
+                    <Input
+                      type="text"
+                      readOnly={!!currentHost}
+                      placeholder={
+                        currentHost
+                          ? undefined
+                          : "Enter host (e.g., api.example.com)"
+                      }
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <div className="space-y-2">
+              <FormLabel>Headers</FormLabel>
+              <FormDescription>
+                Add sensitive headers (like Authorization, X-API-Key) that
+                should be automatically included in requests to the specified
+                host.
+              </FormDescription>
+
+              {headerPairs.map((pair, index) => (
+                <div key={index} className="flex items-end gap-2">
+                  <div className="flex-1">
+                    <Input
+                      placeholder="Header name (e.g., Authorization)"
+                      value={pair.key}
+                      onChange={(e) =>
+                        updateHeaderPair(index, "key", e.target.value)
+                      }
+                    />
+                  </div>
+                  <div className="flex-1">
+                    <Input
+                      type="password"
+                      placeholder="Header value (e.g., Bearer token123)"
+                      value={pair.value}
+                      onChange={(e) =>
+                        updateHeaderPair(index, "value", e.target.value)
+                      }
+                    />
+                  </div>
+                  <Button
+                    type="button"
+                    variant="outline"
+                    size="sm"
+                    onClick={() => removeHeaderPair(index)}
+                    disabled={headerPairs.length === 1}
+                  >
+                    Remove
+                  </Button>
+                </div>
+              ))}
+
+              <Button
+                type="button"
+                variant="outline"
+                size="sm"
+                onClick={addHeaderPair}
+                className="w-full"
+              >
+                Add Another Header
+              </Button>
+            </div>
+
+            <Button type="submit" className="w-full">
+              Save & use these credentials
+            </Button>
+          </form>
+        </Form>
+      </DialogContent>
+    </Dialog>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/integrations/oauth2-flow-waiting-modal.tsx b/autogpt_platform/frontend/src/components/integrations/oauth2-flow-waiting-modal.tsx
new file mode 100644
index 000000000000..98879568cafc
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/integrations/oauth2-flow-waiting-modal.tsx
@@ -0,0 +1,36 @@
+import { FC } from "react";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+
+export const OAuth2FlowWaitingModal: FC<{
+  open: boolean;
+  onClose: () => void;
+  providerName: string;
+}> = ({ open, onClose, providerName }) => {
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) onClose();
+      }}
+    >
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>
+            Waiting on {providerName} sign-in process...
+          </DialogTitle>
+          <DialogDescription>
+            Complete the sign-in process in the pop-up window.
+            <br />
+            Closing this dialog will cancel the sign-in process.
+          </DialogDescription>
+        </DialogHeader>
+      </DialogContent>
+    </Dialog>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/integrations/user-password-credentials-modal.tsx b/autogpt_platform/frontend/src/components/integrations/user-password-credentials-modal.tsx
new file mode 100644
index 000000000000..ad16077d72ae
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/integrations/user-password-credentials-modal.tsx
@@ -0,0 +1,149 @@
+import { FC } from "react";
+import { z } from "zod";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { Input } from "@/components/ui/input";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import useCredentials from "@/hooks/useCredentials";
+import {
+  BlockIOCredentialsSubSchema,
+  CredentialsMetaInput,
+} from "@/lib/autogpt-server-api/types";
+
+export const UserPasswordCredentialsModal: FC<{
+  schema: BlockIOCredentialsSubSchema;
+  open: boolean;
+  onClose: () => void;
+  onCredentialsCreate: (creds: CredentialsMetaInput) => void;
+  siblingInputs?: Record<string, any>;
+}> = ({ schema, open, onClose, onCredentialsCreate, siblingInputs }) => {
+  const credentials = useCredentials(schema, siblingInputs);
+
+  const formSchema = z.object({
+    username: z.string().min(1, "Username is required"),
+    password: z.string().min(1, "Password is required"),
+    title: z.string().min(1, "Name is required"),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    defaultValues: {
+      username: "",
+      password: "",
+      title: "",
+    },
+  });
+
+  if (
+    !credentials ||
+    credentials.isLoading ||
+    !credentials.supportsUserPassword
+  ) {
+    return null;
+  }
+
+  const { provider, providerName, createUserPasswordCredentials } = credentials;
+
+  async function onSubmit(values: z.infer<typeof formSchema>) {
+    const newCredentials = await createUserPasswordCredentials({
+      username: values.username,
+      password: values.password,
+      title: values.title,
+    });
+    onCredentialsCreate({
+      provider,
+      id: newCredentials.id,
+      type: "user_password",
+      title: newCredentials.title,
+    });
+  }
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) onClose();
+      }}
+    >
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>
+            Add new username & password for {providerName}
+          </DialogTitle>
+        </DialogHeader>
+        <Form {...form}>
+          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+            <FormField
+              control={form.control}
+              name="username"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Username</FormLabel>
+                  <FormControl>
+                    <Input
+                      type="text"
+                      placeholder="Enter username..."
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="password"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Password</FormLabel>
+                  <FormControl>
+                    <Input
+                      type="password"
+                      placeholder="Enter password..."
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <FormField
+              control={form.control}
+              name="title"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Name</FormLabel>
+                  <FormControl>
+                    <Input
+                      type="text"
+                      placeholder="Enter a name for this user login..."
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+            <Button type="submit" className="w-full">
+              Save & use this user login
+            </Button>
+          </form>
+        </Form>
+      </DialogContent>
+    </Dialog>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/Navbar.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/Navbar.tsx
new file mode 100644
index 000000000000..db8941cad005
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/Navbar.tsx
@@ -0,0 +1,8 @@
+import { NavbarView } from "./components/NavbarView";
+import { getNavbarAccountData } from "./data";
+
+export async function Navbar() {
+  const { isLoggedIn } = await getNavbarAccountData();
+
+  return <NavbarView isLoggedIn={isLoggedIn} />;
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AccountMenu/AccountMenu.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/AccountMenu/AccountMenu.tsx
new file mode 100644
index 000000000000..5488d694c233
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AccountMenu/AccountMenu.tsx
@@ -0,0 +1,141 @@
+import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import Link from "next/link";
+import * as React from "react";
+import { getAccountMenuOptionIcon, MenuItemGroup } from "../../helpers";
+import { AccountLogoutOption } from "./components/AccountLogoutOption";
+import { PublishAgentModal } from "@/components/contextual/PublishAgentModal/PublishAgentModal";
+
+interface Props {
+  userName?: string;
+  userEmail?: string;
+  avatarSrc?: string;
+  hideNavBarUsername?: boolean;
+  menuItemGroups: MenuItemGroup[];
+}
+
+export function AccountMenu({
+  userName,
+  userEmail,
+  avatarSrc,
+  menuItemGroups,
+}: Props) {
+  const popupId = React.useId();
+
+  return (
+    <Popover>
+      <PopoverTrigger asChild>
+        <button
+          type="button"
+          className="flex cursor-pointer items-center space-x-3"
+          aria-label="Open profile menu"
+          aria-controls={popupId}
+          aria-haspopup="true"
+          data-testid="profile-popout-menu-trigger"
+        >
+          <Avatar className="h-10 w-10">
+            <AvatarImage src={avatarSrc} alt="" aria-hidden="true" />
+            <AvatarFallback aria-hidden="true">
+              {userName?.charAt(0) || "U"}
+            </AvatarFallback>
+          </Avatar>
+        </button>
+      </PopoverTrigger>
+
+      <PopoverContent
+        id={popupId}
+        className="flex flex-col items-start justify-start gap-4 rounded-[26px] bg-zinc-400/70 p-4 shadow backdrop-blur-2xl dark:bg-zinc-800/70"
+        data-testid="account-menu-popover"
+      >
+        {/* Header with avatar and user info */}
+        <div className="inline-flex items-center justify-start gap-1 self-stretch">
+          <Avatar className="h-[60px] w-[60px]">
+            <AvatarImage src={avatarSrc} alt="" aria-hidden="true" />
+            <AvatarFallback aria-hidden="true">
+              {userName?.charAt(0) || "U"}
+            </AvatarFallback>
+          </Avatar>
+          <div className="relative flex h-[47px] w-[173px] flex-col items-start justify-center gap-1">
+            <div className="max-w-[10.5rem] truncate font-sans text-base font-semibold leading-none text-white dark:text-neutral-200">
+              {userName}
+            </div>
+            <div
+              data-testid="account-menu-user-email"
+              className="max-w-[10.5rem] truncate font-sans text-base font-normal leading-none text-white dark:text-neutral-400"
+            >
+              {userEmail}
+            </div>
+          </div>
+        </div>
+
+        {/* Menu items */}
+        <div className="flex w-full flex-col items-start justify-start gap-2 rounded-[23px]">
+          {menuItemGroups.map((group, groupIndex) => (
+            <div
+              key={groupIndex}
+              className="flex w-full flex-col items-start justify-start gap-5 rounded-[18px] bg-white p-3.5 dark:bg-neutral-900"
+            >
+              {group.items.map((item, itemIndex) => {
+                if (item.href) {
+                  return (
+                    <Link
+                      key={itemIndex}
+                      href={item.href}
+                      className="inline-flex w-full items-center justify-start gap-2.5"
+                    >
+                      <div className="relative h-6 w-6">
+                        {getAccountMenuOptionIcon(item.icon)}
+                      </div>
+                      <div className="font-sans text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+                        {item.text}
+                      </div>
+                    </Link>
+                  );
+                } else if (item.text === "Log out") {
+                  return <AccountLogoutOption key={itemIndex} />;
+                } else if (item.text === "Publish an agent") {
+                  return (
+                    <PublishAgentModal
+                      key={itemIndex}
+                      trigger={
+                        <div className="inline-flex w-full flex-row flex-nowrap items-center justify-start gap-2.5">
+                          <div className="relative h-6 w-6">
+                            {getAccountMenuOptionIcon(item.icon)}
+                          </div>
+                          <div className="font-sans text-base font-medium leading-normal text-neutral-800">
+                            {item.text}
+                          </div>
+                        </div>
+                      }
+                    />
+                  );
+                } else {
+                  return (
+                    <div
+                      key={itemIndex}
+                      className="inline-flex w-full items-center justify-start gap-2.5"
+                      onClick={item.onClick}
+                      role="button"
+                      tabIndex={0}
+                    >
+                      <div className="relative h-6 w-6">
+                        {getAccountMenuOptionIcon(item.icon)}
+                      </div>
+                      <div className="font-sans text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+                        {item.text}
+                      </div>
+                    </div>
+                  );
+                }
+              })}
+            </div>
+          ))}
+        </div>
+      </PopoverContent>
+    </Popover>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AccountMenu/components/AccountLogoutOption.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/AccountMenu/components/AccountLogoutOption.tsx
new file mode 100644
index 000000000000..dc2c166797e6
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AccountMenu/components/AccountLogoutOption.tsx
@@ -0,0 +1,57 @@
+"use client";
+import { IconLogOut } from "@/components/ui/icons";
+import { LoadingSpinner } from "@/components/ui/loading";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { cn } from "@/lib/utils";
+import * as Sentry from "@sentry/nextjs";
+import { useRouter } from "next/navigation";
+import { useTransition } from "react";
+import { toast } from "@/components/molecules/Toast/use-toast";
+
+export function AccountLogoutOption() {
+  const router = useRouter();
+  const [isPending, startTransition] = useTransition();
+  const supabase = useSupabase();
+
+  function handleLogout() {
+    startTransition(async () => {
+      try {
+        await supabase.logOut();
+        router.refresh();
+      } catch (e) {
+        Sentry.captureException(e);
+        toast({
+          title: "Error logging out",
+          description:
+            "Something went wrong when logging out. Please try again. If the problem persists, please contact support.",
+          variant: "destructive",
+        });
+      }
+    });
+  }
+
+  return (
+    <div
+      className={cn(
+        "inline-flex w-full items-center justify-start gap-2.5",
+        isPending && "justify-center",
+      )}
+      onClick={handleLogout}
+      role="button"
+      tabIndex={0}
+    >
+      {isPending ? (
+        <LoadingSpinner className="size-5" />
+      ) : (
+        <>
+          <div className="relative h-6 w-6">
+            <IconLogOut className="h-6 w-6" />
+          </div>
+          <div className="font-sans text-base font-medium leading-normal text-neutral-800 dark:text-neutral-200">
+            Log out
+          </div>
+        </>
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/AgentActivityDropdown.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/AgentActivityDropdown.tsx
new file mode 100644
index 000000000000..9a6c92575e39
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/AgentActivityDropdown.tsx
@@ -0,0 +1,74 @@
+"use client";
+
+import { Text } from "@/components/atoms/Text/Text";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { Bell } from "@phosphor-icons/react";
+import { ActivityDropdown } from "./components/ActivityDropdown/ActivityDropdown";
+import { formatNotificationCount } from "./helpers";
+import { useAgentActivityDropdown } from "./useAgentActivityDropdown";
+
+export function AgentActivityDropdown() {
+  const {
+    activeExecutions,
+    recentCompletions,
+    recentFailures,
+    isOpen,
+    setIsOpen,
+    isAgentActivityEnabled,
+  } = useAgentActivityDropdown();
+
+  const activeCount = activeExecutions.length;
+
+  if (!isAgentActivityEnabled) {
+    return null;
+  }
+
+  return (
+    <Popover open={isOpen} onOpenChange={setIsOpen}>
+      <PopoverTrigger asChild>
+        <button
+          className={`group relative h-[2.5rem] w-[2.5rem] rounded-full p-2 transition-colors hover:bg-white ${isOpen ? "bg-white" : ""}`}
+          data-testid="agent-activity-button"
+          aria-label="View Agent Activity"
+        >
+          <Bell size={22} className="text-black" />
+
+          {activeCount > 0 && (
+            <>
+              {/* Running Agents Rotating Badge */}
+              <div
+                data-testid="agent-activity-badge"
+                className="absolute right-[1px] top-[0.5px] flex h-5 w-5 items-center justify-center rounded-full bg-purple-600 text-[10px] font-medium text-white"
+              >
+                {formatNotificationCount(activeCount)}
+                <div className="absolute -inset-0.5 animate-spin rounded-full border-[3px] border-transparent border-r-purple-200 border-t-purple-200" />
+              </div>
+              {/* Running Agent Hover Hint */}
+              <div
+                data-testid="agent-activity-hover-hint"
+                className="absolute bottom-[-2.5rem] left-1/2 z-50 hidden -translate-x-1/2 transform whitespace-nowrap rounded-small bg-white px-4 py-2 shadow-md group-hover:block"
+              >
+                <Text variant="body-medium">
+                  {activeCount} running agent
+                  {activeCount > 1 ? "s" : ""}
+                </Text>
+              </div>
+            </>
+          )}
+        </button>
+      </PopoverTrigger>
+
+      <PopoverContent className="w-80 p-0" align="center" sideOffset={8}>
+        <ActivityDropdown
+          activeExecutions={activeExecutions}
+          recentCompletions={recentCompletions}
+          recentFailures={recentFailures}
+        />
+      </PopoverContent>
+    </Popover>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/ActivityDropdown.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/ActivityDropdown.tsx
new file mode 100644
index 000000000000..f4dc003cd856
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/ActivityDropdown.tsx
@@ -0,0 +1,162 @@
+"use client";
+
+import { Text } from "@/components/atoms/Text/Text";
+import { Input } from "@/components/atoms/Input/Input";
+import { Bell, MagnifyingGlass, X } from "@phosphor-icons/react";
+import { FixedSizeList as List } from "react-window";
+import { AgentExecutionWithInfo } from "../../helpers";
+import { ActivityItem } from "../ActivityItem";
+import {
+  EXECUTION_DISPLAY_WITH_SEARCH,
+  useActivityDropdown,
+} from "./useActivityDropdown";
+import styles from "./styles.module.css";
+import { Button } from "@/components/atoms/Button/Button";
+
+interface Props {
+  activeExecutions: AgentExecutionWithInfo[];
+  recentCompletions: AgentExecutionWithInfo[];
+  recentFailures: AgentExecutionWithInfo[];
+}
+
+interface VirtualizedItemProps {
+  index: number;
+  style: React.CSSProperties;
+  data: AgentExecutionWithInfo[];
+}
+
+function VirtualizedActivityItem({ index, style, data }: VirtualizedItemProps) {
+  const execution = data[index];
+  return (
+    <div style={style}>
+      <ActivityItem execution={execution} />
+    </div>
+  );
+}
+
+export function ActivityDropdown({
+  activeExecutions,
+  recentCompletions,
+  recentFailures,
+}: Props) {
+  const {
+    isSearchVisible,
+    searchQuery,
+    filteredExecutions,
+    toggleSearch,
+    totalExecutions,
+    handleSearchChange,
+    handleClearSearch,
+  } = useActivityDropdown({
+    activeExecutions,
+    recentCompletions,
+    recentFailures,
+  });
+
+  // Static height for the virtualised list (react-window)
+  const itemHeight = 72; // Height of each ActivityItem in pixels
+  const maxHeight = 400; // Maximum height of the dropdown
+
+  const listHeight = Math.min(
+    maxHeight,
+    filteredExecutions.length * itemHeight,
+  );
+
+  const withSearch = totalExecutions > EXECUTION_DISPLAY_WITH_SEARCH;
+
+  return (
+    <div className="overflow-hidden">
+      {/* Header */}
+      <div className="sticky top-0 z-10 px-4 pb-1 pt-0">
+        <div className="flex h-[60px] items-center justify-between">
+          {isSearchVisible && withSearch ? (
+            <div
+              className={`${styles.searchContainer} ${
+                isSearchVisible ? styles.searchEnter : styles.searchExit
+              }`}
+            >
+              <div className="relative w-full">
+                <Input
+                  id="agent-search"
+                  label="Search agents"
+                  placeholder="Search runs by agent name..."
+                  hideLabel
+                  size="small"
+                  value={searchQuery}
+                  onChange={(e) => handleSearchChange(e.target.value)}
+                  className="!focus:border-1 w-full pr-10"
+                  wrapperClassName="!mb-0"
+                  autoComplete="off"
+                  autoFocus
+                />
+                <button
+                  onClick={handleClearSearch}
+                  className="absolute right-1 top-1/2 flex h-6 w-6 -translate-y-1/2 items-center justify-center"
+                  aria-label="Clear search"
+                >
+                  <X size={16} className="text-gray-500" />
+                </button>
+              </div>
+            </div>
+          ) : (
+            <div className={styles.headerContainer}>
+              <Text variant="large-semibold" className="!text-black">
+                Agent Activity
+              </Text>
+              {withSearch ? (
+                <Button
+                  variant="ghost"
+                  size="small"
+                  onClick={toggleSearch}
+                  aria-label="Search agents"
+                  className="relative left-3 hover:border-transparent hover:bg-transparent"
+                >
+                  <MagnifyingGlass
+                    size={16}
+                    className="h-4 w-4 text-gray-600"
+                  />
+                </Button>
+              ) : null}
+            </div>
+          )}
+        </div>
+      </div>
+
+      {/* Content */}
+      <div
+        className={styles.scrollContainer}
+        data-testid="agent-activity-dropdown"
+      >
+        {filteredExecutions.length > 0 ? (
+          <List
+            height={listHeight}
+            width={300} // Match dropdown width (w-80 = 20rem = 320px)
+            itemCount={filteredExecutions.length}
+            itemSize={itemHeight}
+            itemData={filteredExecutions}
+          >
+            {VirtualizedActivityItem}
+          </List>
+        ) : (
+          <div className="flex h-full flex-col items-center justify-center gap-5 pb-8 pt-6">
+            <div className="mx-auto inline-flex flex-col items-center justify-center rounded-full bg-lightGrey p-6">
+              <Bell className="h-6 w-6 text-zinc-300" />
+            </div>
+            <div className="flex flex-col items-center justify-center">
+              <Text variant="body-medium" className="!text-black">
+                {searchQuery
+                  ? "No matching agents found"
+                  : "Nothing to show yet"}
+              </Text>
+              <Text variant="body" className="!text-zinc-500">
+                {searchQuery
+                  ? "Try another search term"
+                  : "Start an agent to get updates"}
+              </Text>
+            </div>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/helpers.ts b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/helpers.ts
new file mode 100644
index 000000000000..cb7f34d62175
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/helpers.ts
@@ -0,0 +1,65 @@
+import { AgentExecutionStatus } from "@/app/api/__generated__/models/agentExecutionStatus";
+import { AgentExecutionWithInfo } from "../../helpers";
+
+type Args = {
+  activeExecutions: AgentExecutionWithInfo[];
+  recentCompletions: AgentExecutionWithInfo[];
+  recentFailures: AgentExecutionWithInfo[];
+};
+
+export function getSortedExecutions({
+  activeExecutions,
+  recentCompletions,
+  recentFailures,
+}: Args) {
+  const allExecutions = [
+    ...activeExecutions.map((e) => ({
+      ...e,
+      type: "running" as const,
+    })),
+    ...recentCompletions.map((e) => ({
+      ...e,
+      type: "completed" as const,
+    })),
+    ...recentFailures.map((e) => ({ ...e, type: "failed" as const })),
+  ];
+
+  return allExecutions.sort((a, b) => {
+    // Priority order: RUNNING > QUEUED > everything else
+    const aIsRunning = a.status === AgentExecutionStatus.RUNNING;
+    const bIsRunning = b.status === AgentExecutionStatus.RUNNING;
+    const aIsQueued = a.status === AgentExecutionStatus.QUEUED;
+    const bIsQueued = b.status === AgentExecutionStatus.QUEUED;
+
+    // RUNNING agents always at the very top
+    if (aIsRunning && !bIsRunning) return -1;
+    if (!aIsRunning && bIsRunning) return 1;
+
+    // If both are running, sort by most recent start time
+    if (aIsRunning && bIsRunning) {
+      if (!a.started_at || !b.started_at) return 0;
+      return (
+        new Date(b.started_at).getTime() - new Date(a.started_at).getTime()
+      );
+    }
+
+    // QUEUED agents come second
+    if (aIsQueued && !bIsQueued) return -1;
+    if (!aIsQueued && bIsQueued) return 1;
+
+    // If both are queued, sort by most recent start time
+    if (aIsQueued && bIsQueued) {
+      if (!a.started_at || !b.started_at) return 0;
+      return (
+        new Date(b.started_at).getTime() - new Date(a.started_at).getTime()
+      );
+    }
+
+    // For everything else (completed, failed, etc.), sort by most recent end time
+    const aTime = a.ended_at;
+    const bTime = b.ended_at;
+
+    if (!aTime || !bTime) return 0;
+    return new Date(bTime).getTime() - new Date(aTime).getTime();
+  });
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/styles.module.css b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/styles.module.css
new file mode 100644
index 000000000000..41633c7f85ff
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/styles.module.css
@@ -0,0 +1,72 @@
+.scrollContainer {
+  min-height: 10rem;
+  padding-left: 0.5rem;
+  padding-right: 0.5rem;
+  border-radius: 12px;
+}
+
+/* Target the scrollable div created by react-window */
+.scrollContainer div[style*="overflow"] {
+  scrollbar-width: thin;
+  scrollbar-color: rgb(209, 213, 219) white;
+}
+
+/* Webkit scrollbar styles */
+.scrollContainer div[style*="overflow"]::-webkit-scrollbar {
+  width: 8px;
+}
+
+.scrollContainer div[style*="overflow"]::-webkit-scrollbar-track {
+  background: white;
+  border-radius: 4px;
+}
+
+.scrollContainer div[style*="overflow"]::-webkit-scrollbar-thumb {
+  background: rgb(209, 213, 219); /* gray-300 */
+  border-radius: 4px;
+}
+
+.scrollContainer div[style*="overflow"]::-webkit-scrollbar-thumb:hover {
+  background: rgb(156, 163, 175); /* gray-400 */
+}
+
+/* Search Animation Styles */
+.searchContainer {
+  display: flex;
+  align-items: center;
+  width: 100%;
+  will-change: opacity;
+}
+
+.searchEnter {
+  animation: searchFadeIn 0.2s ease-in-out forwards;
+}
+
+.searchExit {
+  animation: searchFadeOut 0.2s ease-in-out forwards;
+}
+
+.headerContainer {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  width: 100%;
+}
+
+@keyframes searchFadeIn {
+  from {
+    opacity: 0;
+  }
+  to {
+    opacity: 1;
+  }
+}
+
+@keyframes searchFadeOut {
+  from {
+    opacity: 1;
+  }
+  to {
+    opacity: 0;
+  }
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/useActivityDropdown.ts b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/useActivityDropdown.ts
new file mode 100644
index 000000000000..020a22af6a6a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityDropdown/useActivityDropdown.ts
@@ -0,0 +1,69 @@
+import { useState, useMemo } from "react";
+import { AgentExecutionWithInfo } from "../../helpers";
+import { getSortedExecutions } from "./helpers";
+
+export const EXECUTION_DISPLAY_WITH_SEARCH = 6;
+
+interface UseActivityDropdownProps {
+  activeExecutions: AgentExecutionWithInfo[];
+  recentCompletions: AgentExecutionWithInfo[];
+  recentFailures: AgentExecutionWithInfo[];
+}
+
+export function useActivityDropdown({
+  activeExecutions,
+  recentCompletions,
+  recentFailures,
+}: UseActivityDropdownProps) {
+  const [searchQuery, setSearchQuery] = useState("");
+  const [isSearchVisible, setIsSearchVisible] = useState(false);
+
+  const sortedExecutions = getSortedExecutions({
+    activeExecutions,
+    recentCompletions,
+    recentFailures,
+  });
+
+  // Filter executions based on search query
+  const filteredExecutions = useMemo(() => {
+    if (!searchQuery.trim()) {
+      return sortedExecutions;
+    }
+
+    const query = searchQuery.toLowerCase().trim();
+    return sortedExecutions.filter((execution) =>
+      execution.agent_name.toLowerCase().includes(query),
+    );
+  }, [sortedExecutions, searchQuery]);
+
+  function toggleSearch() {
+    setIsSearchVisible(!isSearchVisible);
+    if (searchQuery) {
+      setSearchQuery("");
+    }
+  }
+
+  function handleSearchChange(value: string) {
+    setSearchQuery(value);
+  }
+
+  function handleClearSearch() {
+    handleSearchChange("");
+    toggleSearch();
+  }
+
+  function handleShowSearch() {
+    setIsSearchVisible(true);
+  }
+
+  return {
+    isSearchVisible,
+    searchQuery,
+    filteredExecutions,
+    totalExecutions: sortedExecutions.length,
+    toggleSearch,
+    handleSearchChange,
+    handleClearSearch,
+    handleShowSearch,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityItem.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityItem.tsx
new file mode 100644
index 000000000000..2d4e80a6b6cd
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/components/ActivityItem.tsx
@@ -0,0 +1,122 @@
+"use client";
+
+import { AgentExecutionStatus } from "@/app/api/__generated__/models/agentExecutionStatus";
+import { Text } from "@/components/atoms/Text/Text";
+import {
+  CheckCircle,
+  CircleNotchIcon,
+  Clock,
+  WarningOctagonIcon,
+  StopCircle,
+  CircleDashed,
+} from "@phosphor-icons/react";
+import type { AgentExecutionWithInfo } from "../helpers";
+import { getExecutionDuration } from "../helpers";
+import Link from "next/link";
+import { formatTimeAgo } from "@/lib/utils/time";
+
+interface Props {
+  execution: AgentExecutionWithInfo;
+}
+
+export function ActivityItem({ execution }: Props) {
+  function getStatusIcon() {
+    switch (execution.status) {
+      case AgentExecutionStatus.QUEUED:
+        return <Clock size={18} className="text-purple-500" />;
+      case AgentExecutionStatus.RUNNING:
+        return (
+          <CircleNotchIcon
+            size={18}
+            className="animate-spin text-purple-500"
+            weight="bold"
+          />
+        );
+      case AgentExecutionStatus.COMPLETED:
+        return (
+          <CheckCircle size={18} weight="fill" className="text-purple-500" />
+        );
+      case AgentExecutionStatus.FAILED:
+        return <WarningOctagonIcon size={18} className="text-purple-500" />;
+      case AgentExecutionStatus.TERMINATED:
+        return (
+          <StopCircle size={18} className="text-purple-500" weight="fill" />
+        );
+      case AgentExecutionStatus.INCOMPLETE:
+        return <CircleDashed size={18} className="text-purple-500" />;
+      default:
+        return null;
+    }
+  }
+
+  function getTimeDisplay() {
+    const isActiveStatus =
+      execution.status === AgentExecutionStatus.RUNNING ||
+      execution.status === AgentExecutionStatus.QUEUED;
+
+    if (isActiveStatus) {
+      const timeAgo = formatTimeAgo(execution.started_at.toString());
+      const statusText =
+        execution.status === AgentExecutionStatus.QUEUED ? "queued" : "running";
+      return `Started ${timeAgo}, ${getExecutionDuration(execution)} ${statusText}`;
+    }
+
+    if (execution.ended_at) {
+      const timeAgo = formatTimeAgo(execution.ended_at.toString());
+      switch (execution.status) {
+        case AgentExecutionStatus.COMPLETED:
+          return `Completed ${timeAgo}`;
+        case AgentExecutionStatus.FAILED:
+          return `Failed ${timeAgo}`;
+        case AgentExecutionStatus.TERMINATED:
+          return `Stopped ${timeAgo}`;
+        case AgentExecutionStatus.INCOMPLETE:
+          return `Incomplete ${timeAgo}`;
+        default:
+          return `Ended ${timeAgo}`;
+      }
+    }
+
+    return "Unknown";
+  }
+
+  const linkUrl = `/library/agents/${execution.library_agent_id}?executionId=${execution.id}`;
+  const withExecutionLink = execution.library_agent_id && execution.id;
+
+  const content = (
+    <>
+      {/* Icon + Agent Name */}
+      <div className="flex items-center space-x-2">
+        {getStatusIcon()}
+        <Text
+          variant="body-medium"
+          className="max-w-[16rem] truncate text-gray-900"
+        >
+          {execution.agent_name}
+        </Text>
+      </div>
+
+      {/* Agent Message - Indented */}
+      <div className="ml-7 pt-1">
+        {/* Time - Indented */}
+        <Text variant="small" className="!text-zinc-500">
+          {getTimeDisplay()}
+        </Text>
+      </div>
+    </>
+  );
+
+  return withExecutionLink ? (
+    <Link
+      className="block cursor-pointer border-b border-slate-50 px-2 py-3 transition-colors last:border-b-0 hover:bg-lightGrey"
+      href={linkUrl}
+      role="button"
+    >
+      {content}
+    </Link>
+  ) : (
+    <div className="block border-b border-slate-50 px-2 py-3 last:border-b-0">
+      {content}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/helpers.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/helpers.tsx
new file mode 100644
index 000000000000..79834010f484
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/helpers.tsx
@@ -0,0 +1,299 @@
+import { AgentExecutionStatus } from "@/app/api/__generated__/models/agentExecutionStatus";
+import { GraphExecutionMeta as GeneratedGraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
+import { MyAgent } from "@/app/api/__generated__/models/myAgent";
+import type { GraphExecution } from "@/lib/autogpt-server-api/types";
+
+// Time constants
+const MILLISECONDS_PER_SECOND = 1000;
+const SECONDS_PER_MINUTE = 60;
+const MINUTES_PER_HOUR = 60;
+const MILLISECONDS_PER_MINUTE = SECONDS_PER_MINUTE * MILLISECONDS_PER_SECOND;
+const MILLISECONDS_PER_HOUR = MINUTES_PER_HOUR * MILLISECONDS_PER_MINUTE;
+const MILLISECONDS_PER_72_HOURS = 72 * MILLISECONDS_PER_HOUR;
+const SHORT_DURATION_THRESHOLD_SECONDS = 5;
+const MAX_EXECUTIONS_CAP = 1000;
+
+export function getExecutionDuration(
+  execution: GeneratedGraphExecutionMeta,
+): string {
+  if (!execution.started_at) return "Unknown";
+
+  const start = new Date(execution.started_at);
+  const end = execution.ended_at ? new Date(execution.ended_at) : new Date();
+
+  // Check if dates are valid
+  if (isNaN(start.getTime()) || isNaN(end.getTime())) {
+    return "Unknown";
+  }
+
+  const durationMs = end.getTime() - start.getTime();
+
+  // Handle negative durations (shouldn't happen but just in case)
+  if (durationMs < 0) return "Unknown";
+
+  const durationSec = Math.floor(durationMs / MILLISECONDS_PER_SECOND);
+
+  // For short durations (< 5 seconds), show "a few seconds"
+  if (durationSec < SHORT_DURATION_THRESHOLD_SECONDS) {
+    return "a few seconds";
+  }
+
+  if (durationSec < SECONDS_PER_MINUTE) return `${durationSec}s`;
+  const durationMin = Math.floor(durationSec / SECONDS_PER_MINUTE);
+  if (durationMin < MINUTES_PER_HOUR)
+    return `${durationMin}m ${durationSec % SECONDS_PER_MINUTE}s`;
+  const durationHr = Math.floor(durationMin / MINUTES_PER_HOUR);
+  return `${durationHr}h ${durationMin % MINUTES_PER_HOUR}m`;
+}
+
+export function formatNotificationCount(count: number): string {
+  if (count > 99) return "+99";
+  return count.toString();
+}
+
+export interface AgentExecutionWithInfo extends GeneratedGraphExecutionMeta {
+  agent_name: string;
+  agent_description: string;
+  library_agent_id?: string;
+}
+
+export interface NotificationState {
+  activeExecutions: AgentExecutionWithInfo[];
+  recentCompletions: AgentExecutionWithInfo[];
+  recentFailures: AgentExecutionWithInfo[];
+  totalCount: number;
+}
+
+export function createAgentInfoMap(
+  agents: MyAgent[],
+): Map<
+  string,
+  { name: string; description: string; library_agent_id?: string }
+> {
+  const agentMap = new Map<
+    string,
+    { name: string; description: string; library_agent_id?: string }
+  >();
+
+  agents.forEach((agent) => {
+    // Ensure we have valid agent data
+    const agentName =
+      agent.agent_name || `Agent ${agent.agent_id?.slice(0, 8)}`;
+    const agentDescription = agent.description || "";
+
+    agentMap.set(agent.agent_id, {
+      name: agentName,
+      description: agentDescription,
+      library_agent_id: undefined, // MyAgent doesn't have library_agent_id
+    });
+  });
+
+  return agentMap;
+}
+
+export function enrichExecutionWithAgentInfo(
+  execution: GeneratedGraphExecutionMeta,
+  agentInfoMap: Map<
+    string,
+    { name: string; description: string; library_agent_id?: string }
+  >,
+): AgentExecutionWithInfo {
+  const agentInfo = agentInfoMap.get(execution.graph_id);
+
+  return {
+    ...execution,
+    agent_name: agentInfo?.name ?? "Unknown Agent",
+    agent_description: agentInfo?.description ?? "",
+    library_agent_id: agentInfo?.library_agent_id,
+  };
+}
+
+export function isActiveExecution(
+  execution: GeneratedGraphExecutionMeta,
+): boolean {
+  const status = execution.status;
+  return (
+    status === AgentExecutionStatus.RUNNING ||
+    status === AgentExecutionStatus.QUEUED
+  );
+}
+
+export function isRecentCompletion(
+  execution: GeneratedGraphExecutionMeta,
+  cutoffDate: Date,
+): boolean {
+  const status = execution.status;
+  return (
+    status === AgentExecutionStatus.COMPLETED &&
+    !!execution.ended_at &&
+    new Date(execution.ended_at) > cutoffDate
+  );
+}
+
+export function isRecentFailure(
+  execution: GeneratedGraphExecutionMeta,
+  cutoffDate: Date,
+): boolean {
+  const status = execution.status;
+  return (
+    (status === AgentExecutionStatus.FAILED ||
+      status === AgentExecutionStatus.TERMINATED) &&
+    !!execution.ended_at &&
+    new Date(execution.ended_at) > cutoffDate
+  );
+}
+
+export function isRecentNotification(
+  execution: AgentExecutionWithInfo,
+  cutoffDate: Date,
+): boolean {
+  return execution.ended_at ? new Date(execution.ended_at) > cutoffDate : false;
+}
+
+export function categorizeExecutions(
+  executions: GeneratedGraphExecutionMeta[],
+  agentInfoMap: Map<
+    string,
+    { name: string; description: string; library_agent_id?: string }
+  >,
+): NotificationState {
+  const seventyTwoHoursAgo = new Date(Date.now() - MILLISECONDS_PER_72_HOURS);
+
+  // First filter by 72-hour window, then apply cap
+  const recentExecutions = executions
+    .filter((execution) => {
+      // Always include active executions regardless of time
+      if (isActiveExecution(execution)) return true;
+
+      // For completed/failed executions, check if they're within 72 hours
+      return (
+        execution.ended_at && new Date(execution.ended_at) > seventyTwoHoursAgo
+      );
+    })
+    .slice(0, MAX_EXECUTIONS_CAP); // Apply 800 execution cap
+
+  const enrichedExecutions = recentExecutions.map((execution) =>
+    enrichExecutionWithAgentInfo(execution, agentInfoMap),
+  );
+
+  // Categorize the capped executions
+  const activeExecutions = enrichedExecutions.filter(isActiveExecution);
+
+  const recentCompletions = enrichedExecutions.filter((execution) =>
+    isRecentCompletion(execution, seventyTwoHoursAgo),
+  );
+
+  const recentFailures = enrichedExecutions.filter((execution) =>
+    isRecentFailure(execution, seventyTwoHoursAgo),
+  );
+
+  return {
+    activeExecutions,
+    recentCompletions,
+    recentFailures,
+    totalCount:
+      activeExecutions.length +
+      recentCompletions.length +
+      recentFailures.length,
+  };
+}
+
+export function removeExecutionFromAllCategories(
+  state: NotificationState,
+  executionId: string,
+): NotificationState {
+  const filteredActiveExecutions = state.activeExecutions.filter(
+    (e) => e.id !== executionId,
+  );
+  const filteredRecentCompletions = state.recentCompletions.filter(
+    (e) => e.id !== executionId,
+  );
+  const filteredRecentFailures = state.recentFailures.filter(
+    (e) => e.id !== executionId,
+  );
+
+  return {
+    activeExecutions: filteredActiveExecutions,
+    recentCompletions: filteredRecentCompletions,
+    recentFailures: filteredRecentFailures,
+    totalCount: state.totalCount, // Will be recalculated later
+  };
+}
+
+export function addExecutionToCategory(
+  state: NotificationState,
+  execution: AgentExecutionWithInfo,
+): NotificationState {
+  const seventyTwoHoursAgo = new Date(Date.now() - MILLISECONDS_PER_72_HOURS);
+  const newState = { ...state };
+
+  if (isActiveExecution(execution)) {
+    newState.activeExecutions = [execution, ...newState.activeExecutions];
+  } else if (isRecentCompletion(execution, seventyTwoHoursAgo)) {
+    newState.recentCompletions = [execution, ...newState.recentCompletions];
+  } else if (isRecentFailure(execution, seventyTwoHoursAgo)) {
+    newState.recentFailures = [execution, ...newState.recentFailures];
+  }
+
+  return newState;
+}
+
+export function cleanupOldNotifications(
+  state: NotificationState,
+): NotificationState {
+  const seventyTwoHoursAgo = new Date(Date.now() - MILLISECONDS_PER_72_HOURS);
+
+  const filteredRecentCompletions = state.recentCompletions.filter((e) =>
+    isRecentNotification(e, seventyTwoHoursAgo),
+  );
+  const filteredRecentFailures = state.recentFailures.filter((e) =>
+    isRecentNotification(e, seventyTwoHoursAgo),
+  );
+
+  return {
+    ...state,
+    recentCompletions: filteredRecentCompletions,
+    recentFailures: filteredRecentFailures,
+  };
+}
+
+export function calculateTotalCount(
+  state: NotificationState,
+): NotificationState {
+  return {
+    ...state,
+    totalCount:
+      state.activeExecutions.length +
+      state.recentCompletions.length +
+      state.recentFailures.length,
+  };
+}
+
+export function handleExecutionUpdate(
+  currentState: NotificationState,
+  execution: GraphExecution,
+  agentInfoMap: Map<
+    string,
+    { name: string; description: string; library_agent_id?: string }
+  >,
+): NotificationState {
+  // Enrich the execution
+  const enrichedExecution = enrichExecutionWithAgentInfo(
+    execution,
+    agentInfoMap,
+  );
+
+  // Remove from all categories first
+  let newState = removeExecutionFromAllCategories(currentState, execution.id);
+
+  // Add to appropriate category
+  newState = addExecutionToCategory(newState, enrichedExecution);
+
+  // Clean up old notifications
+  newState = cleanupOldNotifications(newState);
+
+  // Recalculate total count
+  newState = calculateTotalCount(newState);
+
+  return newState;
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/useAgentActivityDropdown.ts b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/useAgentActivityDropdown.ts
new file mode 100644
index 000000000000..1797fa7876b9
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/AgentActivityDropdown/useAgentActivityDropdown.ts
@@ -0,0 +1,165 @@
+import { useGetV1ListAllExecutions } from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { useGetV2ListLibraryAgents } from "@/app/api/__generated__/endpoints/library/library";
+
+import BackendAPI from "@/lib/autogpt-server-api/client";
+import type { GraphExecution, GraphID } from "@/lib/autogpt-server-api/types";
+import { useCallback, useEffect, useState } from "react";
+import * as Sentry from "@sentry/nextjs";
+import { toast } from "sonner";
+import {
+  NotificationState,
+  categorizeExecutions,
+  handleExecutionUpdate,
+} from "./helpers";
+import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
+
+type AgentInfoMap = Map<
+  string,
+  { name: string; description: string; library_agent_id?: string }
+>;
+
+export function useAgentActivityDropdown() {
+  const isAgentActivityEnabled = useGetFlag(Flag.AGENT_ACTIVITY);
+  const [isOpen, setIsOpen] = useState(false);
+
+  const [api] = useState(() => new BackendAPI());
+
+  const [notifications, setNotifications] = useState<NotificationState>({
+    activeExecutions: [],
+    recentCompletions: [],
+    recentFailures: [],
+    totalCount: 0,
+  });
+
+  const [isConnected, setIsConnected] = useState(false);
+  const [agentInfoMap, setAgentInfoMap] = useState<AgentInfoMap>(new Map());
+
+  const {
+    data: agents,
+    isSuccess: agentsSuccess,
+    error: agentsError,
+  } = useGetV2ListLibraryAgents();
+
+  const {
+    data: executions,
+    isSuccess: executionsSuccess,
+    error: executionsError,
+  } = useGetV1ListAllExecutions();
+
+  // Create a map of library agents
+  useEffect(() => {
+    if (agentsError) {
+      Sentry.captureException(agentsError, {
+        tags: {
+          context: "library_agents_fetch",
+        },
+      });
+      toast.error("Failed to load agent information", {
+        description:
+          "There was a problem connecting to our servers. Agent activity may be limited.",
+      });
+      return;
+    }
+
+    if (agents && agentsSuccess) {
+      if (agents.status !== 200) {
+        Sentry.captureException(new Error("Failed to load library agents"), {
+          extra: {
+            status: agents.status,
+            error: agents.data,
+          },
+        });
+        toast.error("Invalid agent data received", {
+          description:
+            "The server returned invalid data. Agent activity may be limited.",
+        });
+        return;
+      }
+
+      const libraryAgents = agents.data;
+
+      if (!libraryAgents.agents || !libraryAgents.agents.length) return;
+
+      const agentMap = new Map<
+        string,
+        { name: string; description: string; library_agent_id?: string }
+      >();
+
+      libraryAgents.agents.forEach((agent) => {
+        if (agent.graph_id && agent.id) {
+          agentMap.set(agent.graph_id, {
+            name: agent.name || `Agent ${agent.graph_id.slice(0, 8)}`,
+            description: agent.description || "",
+            library_agent_id: agent.id,
+          });
+        }
+      });
+
+      setAgentInfoMap(agentMap);
+    }
+  }, [agents, agentsSuccess, agentsError]);
+
+  // Handle real-time execution updates
+  const handleExecutionEvent = useCallback(
+    (execution: GraphExecution) => {
+      setNotifications((currentState) =>
+        handleExecutionUpdate(currentState, execution, agentInfoMap),
+      );
+    },
+    [agentInfoMap],
+  );
+
+  // Process initial execution state when data loads
+  useEffect(() => {
+    if (executions && executionsSuccess && agentInfoMap.size > 0) {
+      const notifications = categorizeExecutions(executions.data, agentInfoMap);
+      setNotifications(notifications);
+    }
+  }, [executions, executionsSuccess, agentInfoMap]);
+
+  // Initialize WebSocket connection for real-time updates
+  useEffect(() => {
+    if (!agentInfoMap.size) return;
+
+    const connectHandler = api.onWebSocketConnect(() => {
+      setIsConnected(true);
+      agentInfoMap.forEach((_, graphId) => {
+        api.subscribeToGraphExecutions(graphId as GraphID).catch((error) => {
+          Sentry.captureException(error, {
+            tags: {
+              graphId,
+            },
+          });
+        });
+      });
+    });
+
+    const disconnectHandler = api.onWebSocketDisconnect(() => {
+      setIsConnected(false);
+    });
+
+    const messageHandler = api.onWebSocketMessage(
+      "graph_execution_event",
+      handleExecutionEvent,
+    );
+
+    api.connectWebSocket();
+
+    return () => {
+      connectHandler();
+      disconnectHandler();
+      messageHandler();
+      api.disconnectWebSocket();
+    };
+  }, [api, handleExecutionEvent, agentInfoMap]);
+
+  return {
+    ...notifications,
+    isConnected,
+    isReady: executionsSuccess && agentsSuccess,
+    error: executionsError || agentsError,
+    isOpen,
+    setIsOpen,
+    isAgentActivityEnabled,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/LoginButton.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/LoginButton.tsx
new file mode 100644
index 000000000000..d060fcf4ad86
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/LoginButton.tsx
@@ -0,0 +1,29 @@
+"use client";
+
+import { Button } from "@/components/atoms/Button/Button";
+import { SignInIcon } from "@phosphor-icons/react/dist/ssr";
+import { usePathname, useRouter } from "next/navigation";
+
+export function LoginButton() {
+  const router = useRouter();
+  const pathname = usePathname();
+  const isLoginPage = pathname.includes("/login");
+
+  if (isLoginPage) return null;
+
+  function handleLogin() {
+    router.push("/login");
+  }
+
+  return (
+    <Button
+      onClick={handleLogin}
+      size="small"
+      className="flex items-center justify-end space-x-2"
+      leftIcon={<SignInIcon className="h-5 w-5" />}
+      variant="secondary"
+    >
+      Log In
+    </Button>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/MobileNavbar/MobileNavBar.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/MobileNavbar/MobileNavBar.tsx
new file mode 100644
index 000000000000..005344025191
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/MobileNavbar/MobileNavBar.tsx
@@ -0,0 +1,117 @@
+"use client";
+
+import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
+import { Button } from "@/components/ui/button";
+import {
+  Popover,
+  PopoverContent,
+  PopoverPortal,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { Separator } from "@/components/ui/separator";
+import { AnimatePresence, motion } from "framer-motion";
+import { usePathname } from "next/navigation";
+import * as React from "react";
+import { IconChevronUp, IconMenu } from "../../../../ui/icons";
+import { MenuItemGroup } from "../../helpers";
+import { MobileNavbarMenuItem } from "./components/MobileNavbarMenuItem";
+
+interface MobileNavBarProps {
+  userName?: string;
+  userEmail?: string;
+  avatarSrc?: string;
+  menuItemGroups: MenuItemGroup[];
+}
+
+const Overlay = React.forwardRef<HTMLDivElement, { children: React.ReactNode }>(
+  ({ children }, ref) => (
+    <div ref={ref} className="h-screen w-screen backdrop-blur-md">
+      {children}
+    </div>
+  ),
+);
+
+Overlay.displayName = "Overlay";
+
+export function MobileNavBar({
+  userName,
+  userEmail,
+  avatarSrc,
+  menuItemGroups,
+}: MobileNavBarProps) {
+  const [isOpen, setIsOpen] = React.useState(false);
+  const pathname = usePathname();
+  const parts = pathname.split("/");
+  const activeLink = parts.length > 1 ? parts[1] : parts[0];
+
+  return (
+    <Popover open={isOpen} onOpenChange={setIsOpen}>
+      <PopoverTrigger asChild>
+        <Button
+          aria-label="Open menu"
+          className="fixed right-4 top-4 z-50 flex h-14 w-14 items-center justify-center rounded-lg border border-neutral-500 bg-neutral-200 hover:bg-gray-200/50 dark:border-neutral-700 dark:bg-neutral-800 dark:hover:bg-gray-700/50 md:hidden"
+          data-testid="mobile-nav-bar-trigger"
+        >
+          {isOpen ? (
+            <IconChevronUp className="h-8 w-8 stroke-black dark:stroke-white" />
+          ) : (
+            <IconMenu className="h-8 w-8 stroke-black dark:stroke-white" />
+          )}
+          <span className="sr-only">Open menu</span>
+        </Button>
+      </PopoverTrigger>
+      <AnimatePresence>
+        <PopoverPortal>
+          <Overlay>
+            <PopoverContent asChild>
+              <motion.div
+                initial={{ opacity: 0, y: -32 }}
+                animate={{ opacity: 1, y: 0 }}
+                exit={{ opacity: 0, y: -32, transition: { duration: 0.2 } }}
+                className="w-screen rounded-b-2xl bg-white dark:bg-neutral-900"
+              >
+                <div className="mb-4 inline-flex w-full items-end justify-start gap-4">
+                  <Avatar className="h-14 w-14 border border-[#474747] dark:border-[#cfcfcf]">
+                    <AvatarImage
+                      src={avatarSrc}
+                      alt={userName || "Unknown User"}
+                    />
+                    <AvatarFallback>
+                      {userName?.charAt(0) || "U"}
+                    </AvatarFallback>
+                  </Avatar>
+                  <div className="relative h-14 w-full">
+                    <div className="absolute left-0 top-0 text-lg font-semibold leading-7 text-[#474747] dark:text-[#cfcfcf]">
+                      {userName || "Unknown User"}
+                    </div>
+                    <div className="absolute left-0 top-6 font-sans text-base font-normal leading-7 text-[#474747] dark:text-[#cfcfcf]">
+                      {userEmail || "No Email Set"}
+                    </div>
+                  </div>
+                </div>
+                <Separator className="mb-4 dark:bg-[#3a3a3a]" />
+                {menuItemGroups.map((group, groupIndex) => (
+                  <React.Fragment key={groupIndex}>
+                    {group.items.map((item, itemIndex) => (
+                      <MobileNavbarMenuItem
+                        key={itemIndex}
+                        icon={item.icon}
+                        isActive={item.href === activeLink}
+                        text={item.text}
+                        onClick={item.onClick}
+                        href={item.href}
+                      />
+                    ))}
+                    {groupIndex < menuItemGroups.length - 1 && (
+                      <Separator className="my-4 dark:bg-[#3a3a3a]" />
+                    )}
+                  </React.Fragment>
+                ))}
+              </motion.div>
+            </PopoverContent>
+          </Overlay>
+        </PopoverPortal>
+      </AnimatePresence>
+    </Popover>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/MobileNavbar/components/MobileNavbarMenuItem.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/MobileNavbar/components/MobileNavbarMenuItem.tsx
new file mode 100644
index 000000000000..e4955946a388
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/MobileNavbar/components/MobileNavbarMenuItem.tsx
@@ -0,0 +1,55 @@
+import { IconType } from "@/components/ui/icons";
+import { cn } from "@/lib/utils";
+import Link from "next/link";
+import { getAccountMenuOptionIcon } from "../../../helpers";
+
+interface Props {
+  icon: IconType;
+  isActive: boolean;
+  text: string;
+  href?: string;
+  onClick?: () => void;
+}
+
+export function MobileNavbarMenuItem({
+  icon,
+  isActive,
+  text,
+  href,
+  onClick,
+}: Props) {
+  const content = (
+    <div className="inline-flex w-full items-center justify-start gap-4 hover:rounded hover:bg-[#e0e0e0] dark:hover:bg-[#3a3a3a]">
+      {getAccountMenuOptionIcon(icon)}
+      <div className="relative">
+        <div
+          className={cn(
+            "font-sans text-base font-normal leading-7",
+            isActive
+              ? "font-semibold text-[#272727] dark:text-[#ffffff]"
+              : "text-[#474747] dark:text-[#cfcfcf]",
+          )}
+        >
+          {text}
+        </div>
+        {isActive && (
+          <div className="absolute bottom-[-4px] left-0 h-[2px] w-full bg-[#272727] dark:bg-[#ffffff]"></div>
+        )}
+      </div>
+    </div>
+  );
+
+  if (onClick)
+    return (
+      <div className="w-full" onClick={onClick}>
+        {content}
+      </div>
+    );
+  if (href)
+    return (
+      <Link href={href} className="w-full">
+        {content}
+      </Link>
+    );
+  return content;
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarLink.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarLink.tsx
new file mode 100644
index 000000000000..0df484f7cb9b
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarLink.tsx
@@ -0,0 +1,78 @@
+"use client";
+
+import { IconLaptop } from "@/components/ui/icons";
+import { cn } from "@/lib/utils";
+import {
+  CubeIcon,
+  HouseIcon,
+  StorefrontIcon,
+} from "@phosphor-icons/react/dist/ssr";
+import Link from "next/link";
+import { usePathname } from "next/navigation";
+import { Text } from "../../../atoms/Text/Text";
+
+const iconWidthClass = "h-5 w-5";
+
+interface Props {
+  name: string;
+  href: string;
+}
+
+export function NavbarLink({ name, href }: Props) {
+  const pathname = usePathname();
+  const isActive = pathname.includes(href);
+
+  return (
+    <Link href={href} data-testid={`navbar-link-${name.toLowerCase()}`}>
+      <div
+        className={cn(
+          "flex items-center justify-start gap-1 p-2",
+          isActive &&
+            "rounded-small bg-neutral-800 py-2 pl-2 pr-3 transition-all duration-300 dark:bg-neutral-200",
+        )}
+      >
+        {href === "/marketplace" && (
+          <StorefrontIcon
+            className={cn(
+              iconWidthClass,
+              isActive && "text-white dark:text-black",
+            )}
+          />
+        )}
+        {href === "/build" && (
+          <CubeIcon
+            className={cn(
+              iconWidthClass,
+              isActive && "text-white dark:text-black",
+            )}
+          />
+        )}
+        {href === "/monitor" && (
+          <IconLaptop
+            className={cn(
+              iconWidthClass,
+              isActive && "text-white dark:text-black",
+            )}
+          />
+        )}
+        {href === "/library" && (
+          <HouseIcon
+            className={cn(
+              iconWidthClass,
+              isActive && "text-white dark:text-black",
+            )}
+          />
+        )}
+        <Text
+          variant="h4"
+          className={cn(
+            "hidden !font-poppins lg:block",
+            isActive ? "!text-white" : "!text-black",
+          )}
+        >
+          {name}
+        </Text>
+      </div>
+    </Link>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarLoading.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarLoading.tsx
new file mode 100644
index 000000000000..6aa6252b7718
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarLoading.tsx
@@ -0,0 +1,21 @@
+import { IconAutoGPTLogo } from "@/components/ui/icons";
+import { Skeleton } from "@/components/ui/skeleton";
+
+export function NavbarLoading() {
+  return (
+    <nav className="sticky top-0 z-40 hidden h-16 items-center rounded-bl-2xl rounded-br-2xl border border-white/50 bg-white/5 p-3 backdrop-blur-[26px] md:inline-flex">
+      <div className="flex flex-1 items-center gap-6">
+        <Skeleton className="h-4 w-20 bg-white/20" />
+        <Skeleton className="h-4 w-16 bg-white/20" />
+        <Skeleton className="h-4 w-12 bg-white/20" />
+      </div>
+      <div className="absolute left-1/2 top-1/2 h-10 w-[88.87px] -translate-x-1/2 -translate-y-1/2">
+        <IconAutoGPTLogo className="h-full w-full" />
+      </div>
+      <div className="flex flex-1 items-center justify-end gap-4">
+        <Skeleton className="h-8 w-8 rounded-full bg-white/20" />
+        <Skeleton className="h-8 w-8 rounded-full bg-white/20" />
+      </div>
+    </nav>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarView.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarView.tsx
new file mode 100644
index 000000000000..329f960086c1
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/components/NavbarView.tsx
@@ -0,0 +1,98 @@
+"use client";
+import { IconAutoGPTLogo, IconType } from "@/components/ui/icons";
+import Wallet from "../../../agptui/Wallet";
+import { AccountMenu } from "./AccountMenu/AccountMenu";
+import { LoginButton } from "./LoginButton";
+import { MobileNavBar } from "./MobileNavbar/MobileNavBar";
+import { NavbarLink } from "./NavbarLink";
+import { accountMenuItems, loggedInLinks, loggedOutLinks } from "../helpers";
+import { useGetV2GetUserProfile } from "@/app/api/__generated__/endpoints/store/store";
+import { AgentActivityDropdown } from "./AgentActivityDropdown/AgentActivityDropdown";
+
+interface NavbarViewProps {
+  isLoggedIn: boolean;
+}
+
+export const NavbarView = ({ isLoggedIn }: NavbarViewProps) => {
+  const { data: profile } = useGetV2GetUserProfile({
+    query: {
+      select: (x) => {
+        return x.data;
+      },
+      enabled: isLoggedIn,
+    },
+  });
+
+  return (
+    <>
+      <nav className="sticky top-0 z-40 hidden h-16 items-center border border-white/50 bg-[#f3f4f6]/20 p-3 backdrop-blur-[26px] md:inline-flex">
+        {/* Left section */}
+        <div className="flex flex-1 items-center gap-5">
+          {isLoggedIn
+            ? loggedInLinks.map((link) => (
+                <NavbarLink key={link.name} name={link.name} href={link.href} />
+              ))
+            : loggedOutLinks.map((link) => (
+                <NavbarLink key={link.name} name={link.name} href={link.href} />
+              ))}
+        </div>
+
+        {/* Centered logo */}
+        <div className="absolute left-1/2 top-1/2 h-10 w-[88.87px] -translate-x-1/2 -translate-y-1/2">
+          <IconAutoGPTLogo className="h-full w-full" />
+        </div>
+
+        {/* Right section */}
+        <div className="flex flex-1 items-center justify-end gap-4">
+          {isLoggedIn ? (
+            <div className="flex items-center gap-4">
+              <AgentActivityDropdown />
+              {profile && <Wallet />}
+              <AccountMenu
+                userName={profile?.username}
+                userEmail={profile?.name}
+                avatarSrc={profile?.avatar_url ?? ""}
+                menuItemGroups={accountMenuItems}
+              />
+            </div>
+          ) : (
+            <LoginButton />
+          )}
+          {/* <ThemeToggle /> */}
+        </div>
+      </nav>
+      {/* Mobile Navbar - Adjust positioning */}
+      <>
+        {isLoggedIn ? (
+          <div className="fixed right-4 top-4 z-50">
+            <MobileNavBar
+              userName={profile?.username}
+              menuItemGroups={[
+                {
+                  groupName: "Navigation",
+                  items: loggedInLinks.map((link) => ({
+                    icon:
+                      link.name === "Marketplace"
+                        ? IconType.Marketplace
+                        : link.name === "Library"
+                          ? IconType.Library
+                          : link.name === "Build"
+                            ? IconType.Builder
+                            : link.name === "Monitor"
+                              ? IconType.Library
+                              : IconType.LayoutDashboard,
+                    text: link.name,
+                    href: link.href,
+                  })),
+                },
+                ...accountMenuItems,
+              ]}
+              userEmail={profile?.name}
+              avatarSrc={profile?.avatar_url ?? ""}
+            />
+          </div>
+        ) : null}
+      </>
+    </>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/data.ts b/autogpt_platform/frontend/src/components/layout/Navbar/data.ts
new file mode 100644
index 000000000000..0d07cef78bcf
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/data.ts
@@ -0,0 +1,25 @@
+import { prefetchGetV2GetUserProfileQuery } from "@/app/api/__generated__/endpoints/store/store";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import { getServerUser } from "@/lib/supabase/server/getServerUser";
+
+export async function getNavbarAccountData() {
+  const { user } = await getServerUser();
+  const isLoggedIn = Boolean(user);
+  const queryClient = getQueryClient();
+
+  if (!isLoggedIn) {
+    return {
+      profile: null,
+      isLoggedIn,
+    };
+  }
+  try {
+    await prefetchGetV2GetUserProfileQuery(queryClient);
+  } catch (error) {
+    console.error("Error fetching profile:", error);
+  }
+
+  return {
+    isLoggedIn,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/helpers.tsx b/autogpt_platform/frontend/src/components/layout/Navbar/helpers.tsx
new file mode 100644
index 000000000000..d2ef1bc24164
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/helpers.tsx
@@ -0,0 +1,115 @@
+import {
+  IconBuilder,
+  IconEdit,
+  IconLayoutDashboard,
+  IconLibrary,
+  IconLogOut,
+  IconMarketplace,
+  IconRefresh,
+  IconSettings,
+  IconType,
+  IconUploadCloud,
+} from "@/components/ui/icons";
+
+type Link = {
+  name: string;
+  href: string;
+};
+
+export const loggedInLinks: Link[] = [
+  {
+    name: "Marketplace",
+    href: "/marketplace",
+  },
+  {
+    name: "Library",
+    href: "/library",
+  },
+  {
+    name: "Build",
+    href: "/build",
+  },
+];
+
+export const loggedOutLinks: Link[] = [
+  {
+    name: "Marketplace",
+    href: "/marketplace",
+  },
+];
+
+export type MenuItemGroup = {
+  groupName?: string;
+  items: {
+    icon: IconType;
+    text: string;
+    href?: string;
+    onClick?: () => void;
+  }[];
+};
+
+export const accountMenuItems: MenuItemGroup[] = [
+  {
+    items: [
+      {
+        icon: IconType.Edit,
+        text: "Edit profile",
+        href: "/profile",
+      },
+    ],
+  },
+  {
+    items: [
+      {
+        icon: IconType.LayoutDashboard,
+        text: "Creator Dashboard",
+        href: "/profile/dashboard",
+      },
+      {
+        icon: IconType.UploadCloud,
+        text: "Publish an agent",
+      },
+    ],
+  },
+  {
+    items: [
+      {
+        icon: IconType.Settings,
+        text: "Settings",
+        href: "/profile/settings",
+      },
+    ],
+  },
+  {
+    items: [
+      {
+        icon: IconType.LogOut,
+        text: "Log out",
+      },
+    ],
+  },
+];
+
+export function getAccountMenuOptionIcon(icon: IconType) {
+  const iconClass = "w-6 h-6";
+  switch (icon) {
+    case IconType.LayoutDashboard:
+      return <IconLayoutDashboard className={iconClass} />;
+    case IconType.UploadCloud:
+      return <IconUploadCloud className={iconClass} />;
+    case IconType.Edit:
+      return <IconEdit className={iconClass} />;
+    case IconType.Settings:
+      return <IconSettings className={iconClass} />;
+    case IconType.LogOut:
+      return <IconLogOut className={iconClass} />;
+    case IconType.Marketplace:
+      return <IconMarketplace className={iconClass} />;
+    case IconType.Library:
+      return <IconLibrary className={iconClass} />;
+    case IconType.Builder:
+      return <IconBuilder className={iconClass} />;
+    default:
+      return <IconRefresh className={iconClass} />;
+  }
+}
diff --git a/autogpt_platform/frontend/src/components/layout/Navbar/useNavbar.ts b/autogpt_platform/frontend/src/components/layout/Navbar/useNavbar.ts
new file mode 100644
index 000000000000..ea1cfa82755d
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/layout/Navbar/useNavbar.ts
@@ -0,0 +1,28 @@
+import { useGetV2GetUserProfile } from "@/app/api/__generated__/endpoints/store/store";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+
+export function useNavbar() {
+  const { isLoggedIn, isUserLoading } = useSupabase();
+
+  console.log("isLoggedIn", isLoggedIn);
+
+  const {
+    data: profileResponse,
+    isLoading: isProfileLoading,
+    error: profileError,
+  } = useGetV2GetUserProfile({
+    query: {
+      enabled: isLoggedIn === true,
+    },
+  });
+
+  const profile = profileResponse?.data || null;
+  const isLoading = isUserLoading || (isLoggedIn && isProfileLoading);
+
+  return {
+    isLoggedIn,
+    profile,
+    isLoading,
+    profileError,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Breadcrumbs/Breadcrumbs.stories.tsx b/autogpt_platform/frontend/src/components/molecules/Breadcrumbs/Breadcrumbs.stories.tsx
new file mode 100644
index 000000000000..c5d200f173e7
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Breadcrumbs/Breadcrumbs.stories.tsx
@@ -0,0 +1,132 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Breadcrumbs } from "./Breadcrumbs";
+
+const meta: Meta<typeof Breadcrumbs> = {
+  title: "Molecules/Breadcrumbs",
+  component: Breadcrumbs,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component: `
+## Breadcrumbs Component
+
+A navigation breadcrumb component that shows the current page's location within a navigational hierarchy.
+
+### ✨ Features
+
+- **Clean design** - Simple, elegant breadcrumb navigation
+- **Link integration** - Uses custom Link component for navigation
+- **Responsive** - Flexible layout that wraps on smaller screens
+- **Accessible** - Semantic markup with proper link structure
+- **TypeScript support** - Full TypeScript interface support
+- **Customizable** - Easy to style and extend
+
+### 🎯 Usage
+
+\`\`\`tsx
+<Breadcrumbs 
+  items={[
+    { name: "Home", link: "/" },
+    { name: "Library", link: "/library" },
+    { name: "Agents", link: "/library/agents" },
+  ]} 
+/>
+\`\`\`
+
+### Props
+
+- **items**: Array of breadcrumb items with name and link properties
+
+### BreadcrumbItem Interface
+
+\`\`\`tsx
+interface BreadcrumbItem {
+  name: string;  // Display text for the breadcrumb
+  link: string;  // URL to navigate to when clicked
+}
+\`\`\`
+        `,
+      },
+    },
+  },
+  tags: ["autodocs"],
+  argTypes: {
+    items: {
+      control: "object",
+      description: "Array of breadcrumb items with name and link properties",
+      table: {
+        type: {
+          summary: "BreadcrumbItem[]",
+          detail: "Array of { name: string, link: string }",
+        },
+      },
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+/**
+ * Basic breadcrumb navigation with a few levels.
+ */
+export const Default: Story = {
+  args: {
+    items: [
+      { name: "Home", link: "/" },
+      { name: "Library", link: "/library" },
+      { name: "Agents", link: "/library/agents" },
+    ],
+  },
+};
+
+/**
+ * Single breadcrumb item (just home).
+ */
+export const Single: Story = {
+  args: {
+    items: [{ name: "Home", link: "/" }],
+  },
+};
+
+/**
+ * Two-level breadcrumb navigation.
+ */
+export const TwoLevels: Story = {
+  args: {
+    items: [
+      { name: "Dashboard", link: "/dashboard" },
+      { name: "Settings", link: "/dashboard/settings" },
+    ],
+  },
+};
+
+/**
+ * Deep navigation with many levels.
+ */
+export const DeepNavigation: Story = {
+  args: {
+    items: [
+      { name: "Home", link: "/" },
+      { name: "Platform", link: "/platform" },
+      { name: "Library", link: "/platform/library" },
+      { name: "Agents", link: "/platform/library/agents" },
+      { name: "My Agent", link: "/platform/library/agents/123" },
+      { name: "Edit", link: "/platform/library/agents/123/edit" },
+    ],
+  },
+};
+
+/**
+ * Breadcrumbs with longer text to show wrapping behavior.
+ */
+export const LongText: Story = {
+  args: {
+    items: [
+      { name: "AutoGPT Platform", link: "/" },
+      { name: "Agent Library Management", link: "/library" },
+      { name: "Advanced Configuration Settings", link: "/library/settings" },
+    ],
+  },
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/Breadcrumbs/Breadcrumbs.tsx b/autogpt_platform/frontend/src/components/molecules/Breadcrumbs/Breadcrumbs.tsx
new file mode 100644
index 000000000000..27d5387cb90e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Breadcrumbs/Breadcrumbs.tsx
@@ -0,0 +1,36 @@
+import * as React from "react";
+import { Link } from "@/components/atoms/Link/Link";
+import { Text } from "@/components/atoms/Text/Text";
+
+interface BreadcrumbItem {
+  name: string;
+  link: string;
+}
+
+interface Props {
+  items: BreadcrumbItem[];
+}
+
+export function Breadcrumbs({ items }: Props) {
+  return (
+    <div className="flex items-center gap-4">
+      <div className="flex h-auto flex-wrap items-center justify-start gap-3 rounded-[5rem] dark:bg-transparent">
+        {items.map((item, index) => (
+          <React.Fragment key={index}>
+            <Link
+              href={item.link}
+              className="text-zinc-700 transition-colors hover:text-zinc-900 hover:no-underline"
+            >
+              {item.name}
+            </Link>
+            {index < items.length - 1 && (
+              <Text variant="body-medium" className="text-zinc-700">
+                /
+              </Text>
+            )}
+          </React.Fragment>
+        ))}
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Collapsible/Collapsible.stories.tsx b/autogpt_platform/frontend/src/components/molecules/Collapsible/Collapsible.stories.tsx
new file mode 100644
index 000000000000..b8b834bb2988
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Collapsible/Collapsible.stories.tsx
@@ -0,0 +1,155 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Collapsible } from "./Collapsible";
+
+const meta: Meta<typeof Collapsible> = {
+  title: "Molecules/Collapsible",
+  component: Collapsible,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component: `
+## Collapsible Component
+
+A reusable collapsible component built on top of shadcn's collapsible primitives with enhanced functionality and styling.
+
+### ✨ Features
+
+- **Built on shadcn base** - Uses shadcn collapsible primitives without modification
+- **Custom trigger design** - Enhanced trigger with "↓ more" / "↑ less" text indicators
+- **Smooth animations** - Chevron rotation and content expand/collapse transitions
+- **Controlled & uncontrolled modes** - Supports both controlled and uncontrolled usage
+- **Customizable styling** - Props for custom classes on trigger, content, and root
+- **Accessible** - Built on Radix UI primitives for full accessibility support
+- **TypeScript support** - Complete TypeScript interface support
+
+### 🎯 Usage
+
+\`\`\`tsx
+<Collapsible 
+  trigger={<span>Click to expand</span>}
+  defaultOpen={false}
+>
+  <p>This content will be collapsed/expanded</p>
+</Collapsible>
+\`\`\`
+
+### Props
+
+- **trigger**: React node to display as the clickable trigger
+- **children**: Content to show/hide when collapsing/expanding
+- **defaultOpen**: Initial open state (uncontrolled mode)
+- **open**: Current open state (controlled mode)
+- **onOpenChange**: Callback when open state changes
+- **className**: Additional classes for the root container
+- **triggerClassName**: Additional classes for the trigger element
+- **contentClassName**: Additional classes for the content container
+        `,
+      },
+    },
+  },
+  tags: ["autodocs"],
+  argTypes: {
+    trigger: {
+      control: false,
+      description: "The trigger element to click for expanding/collapsing",
+    },
+    children: {
+      control: false,
+      description: "Content to show when expanded",
+    },
+    defaultOpen: {
+      control: "boolean",
+      description: "Initial open state (uncontrolled mode)",
+      table: {
+        defaultValue: { summary: "false" },
+      },
+    },
+    open: {
+      control: "boolean",
+      description: "Current open state (controlled mode)",
+    },
+    onOpenChange: {
+      control: false,
+      description: "Callback function when open state changes",
+    },
+    className: {
+      control: "text",
+      description: "Additional CSS classes for root container",
+    },
+    triggerClassName: {
+      control: "text",
+      description: "Additional CSS classes for trigger element",
+    },
+    contentClassName: {
+      control: "text",
+      description: "Additional CSS classes for content container",
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+/**
+ * Default collapsible with simple text trigger and content.
+ */
+export const Default: Story = {
+  args: {
+    trigger: <span className="font-medium">Click to expand</span>,
+    children: (
+      <div className="space-y-2">
+        <p>
+          This is the collapsible content that can be expanded or collapsed.
+        </p>
+        <p>You can put any React elements here.</p>
+      </div>
+    ),
+    defaultOpen: false,
+  },
+};
+
+/**
+ * Collapsible that starts in the expanded state.
+ */
+export const DefaultOpen: Story = {
+  args: {
+    trigger: <span className="font-medium">Already expanded</span>,
+    children: (
+      <div className="space-y-2">
+        <p>This collapsible starts in the open state.</p>
+        <p>Notice how the chevron and text indicators reflect this.</p>
+      </div>
+    ),
+    defaultOpen: true,
+  },
+};
+
+/**
+ * Multiple collapsibles can be used together to create accordion-like interfaces.
+ */
+export const MultipleCollapsibles: Story = {
+  render: () => (
+    <div className="w-96 space-y-4">
+      <Collapsible
+        trigger={<span className="font-medium">Section 1</span>}
+        className="p-3"
+      >
+        <p>Content for the first section.</p>
+      </Collapsible>
+      <Collapsible
+        trigger={<span className="font-medium">Section 2</span>}
+        className="p-3"
+        defaultOpen={true}
+      >
+        <p>Content for the second section, which starts expanded.</p>
+      </Collapsible>
+      <Collapsible
+        trigger={<span className="font-medium">Section 3</span>}
+        className="p-3"
+      >
+        <p>Content for the third section.</p>
+      </Collapsible>
+    </div>
+  ),
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/Collapsible/Collapsible.tsx b/autogpt_platform/frontend/src/components/molecules/Collapsible/Collapsible.tsx
new file mode 100644
index 000000000000..e9053f0e178c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Collapsible/Collapsible.tsx
@@ -0,0 +1,73 @@
+"use client";
+
+import React from "react";
+import { cn } from "@/lib/utils";
+import {
+  Collapsible as BaseCollapsible,
+  CollapsibleTrigger as BaseCollapsibleTrigger,
+  CollapsibleContent as BaseCollapsibleContent,
+} from "@/components/ui/collapsible";
+import { CaretDownIcon } from "@phosphor-icons/react";
+
+interface Props {
+  trigger: React.ReactNode;
+  children: React.ReactNode;
+  defaultOpen?: boolean;
+  open?: boolean;
+  onOpenChange?: (open: boolean) => void;
+  className?: string;
+  triggerClassName?: string;
+  contentClassName?: string;
+}
+
+export function Collapsible({
+  trigger,
+  children,
+  defaultOpen = false,
+  open,
+  onOpenChange,
+  className,
+  triggerClassName,
+  contentClassName,
+}: Props) {
+  const [isOpen, setIsOpen] = React.useState(defaultOpen);
+  const isControlled = open !== undefined;
+  const openState = isControlled ? open : isOpen;
+
+  const handleOpenChange = (newOpen: boolean) => {
+    if (!isControlled) {
+      setIsOpen(newOpen);
+    }
+    onOpenChange?.(newOpen);
+  };
+
+  return (
+    <BaseCollapsible
+      open={openState}
+      onOpenChange={handleOpenChange}
+      className={cn("w-full", className)}
+    >
+      <BaseCollapsibleTrigger
+        className={cn(
+          "flex w-full items-center justify-between text-left transition-all duration-200 hover:opacity-80",
+          triggerClassName,
+        )}
+      >
+        <div className="flex-end flex flex-wrap items-center gap-2">
+          {trigger}
+          <CaretDownIcon
+            className={cn(
+              "inline-flex h-4 w-4 transition-transform duration-200",
+              openState && "rotate-180",
+            )}
+          />
+        </div>
+      </BaseCollapsibleTrigger>
+      <BaseCollapsibleContent
+        className={cn("overflow-hidden", contentClassName)}
+      >
+        <div className="pt-2">{children}</div>
+      </BaseCollapsibleContent>
+    </BaseCollapsible>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/Dialog.stories.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/Dialog.stories.tsx
new file mode 100644
index 000000000000..9a57d0ab0e36
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/Dialog.stories.tsx
@@ -0,0 +1,197 @@
+import { Button } from "@/components/atoms/Button/Button";
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { useState } from "react";
+import { Dialog } from "./Dialog";
+
+const meta: Meta<typeof Dialog> = {
+  title: "Molecules/Dialog",
+  component: Dialog,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "A responsive dialog component that automatically switches between modal dialog (desktop) and drawer (mobile). Built on top of Radix UI Dialog and Vaul drawer with custom styling. Supports compound components: Dialog.Trigger, Dialog.Content, and Dialog.Footer.",
+      },
+    },
+  },
+  argTypes: {
+    title: {
+      control: "text",
+      description: "Dialog title - can be string or React node",
+    },
+    forceOpen: {
+      control: "boolean",
+      description: "Force the dialog to stay open (useful for previewing)",
+    },
+    styling: {
+      control: "object",
+      description: "Custom CSS styles object",
+    },
+    onClose: {
+      action: "closed",
+      description: "Callback fired when dialog closes",
+    },
+  },
+  args: {
+    title: "Dialog Title",
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+export const Basic: Story = {
+  render: renderBasicDialog,
+};
+
+export const WithoutTitle: Story = {
+  render: renderDialogWithoutTitle,
+};
+
+export const ForceOpen: Story = {
+  args: {
+    forceOpen: true,
+    title: "Preview Dialog",
+  },
+  render: renderForceOpenDialog,
+};
+
+export const WithFooter: Story = {
+  render: renderDialogWithFooter,
+};
+
+export const Controlled: Story = {
+  render: renderControlledDialog,
+};
+
+export const CustomStyling: Story = {
+  render: renderCustomStyledDialog,
+};
+
+function renderBasicDialog() {
+  return (
+    <Dialog title="Basic Dialog">
+      <Dialog.Trigger>
+        <Button variant="primary">Open Dialog</Button>
+      </Dialog.Trigger>
+      <Dialog.Content>
+        <p>This is a basic dialog with some content.</p>
+        <p>
+          It automatically adapts to screen size - modal on desktop, drawer on
+          mobile.
+        </p>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
+
+function renderDialogWithoutTitle() {
+  return (
+    <Dialog>
+      <Dialog.Trigger>
+        <Button variant="primary">Open Dialog (no title)</Button>
+      </Dialog.Trigger>
+      <Dialog.Content>
+        <p className="flex min-h-[100px] flex-row items-center justify-center">
+          This dialog doesn&apos;t use the title prop, allowing for no header or
+          a custom header.
+        </p>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
+
+function renderForceOpenDialog(args: any) {
+  return (
+    <Dialog {...args}>
+      <Dialog.Content>
+        <p>This dialog is forced open for preview purposes.</p>
+        <p>
+          In real usage, you&apos;d typically use a trigger or controlled state.
+        </p>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
+
+function renderDialogWithFooter() {
+  return (
+    <Dialog title="Dialog with Footer">
+      <Dialog.Trigger>
+        <Button variant="primary">Open Dialog with Footer</Button>
+      </Dialog.Trigger>
+      <Dialog.Content>
+        <p>This dialog includes a footer with action buttons.</p>
+        <p>Use the footer for primary and secondary actions.</p>
+        <Dialog.Footer>
+          <Button variant="ghost" size="small">
+            Cancel
+          </Button>
+          <Button variant="primary" size="small">
+            Confirm
+          </Button>
+        </Dialog.Footer>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
+
+function renderControlledDialog() {
+  const [isOpen, setIsOpen] = useState(false);
+
+  const handleToggle = async () => {
+    setIsOpen(!isOpen);
+  };
+
+  return (
+    <div className="space-y-4">
+      <Button variant="primary" onClick={handleToggle}>
+        {isOpen ? "Close" : "Open"} Controlled Dialog
+      </Button>
+
+      <Dialog
+        title="Controlled Dialog"
+        controlled={{
+          isOpen,
+          set: setIsOpen,
+        }}
+        onClose={() => console.log("Dialog closed")}
+      >
+        <Dialog.Content>
+          <div className="flex flex-col gap-4">
+            <p>This dialog is controlled by external state.</p>
+            <p>
+              Open state:{" "}
+              <span className="font-bold">{isOpen ? "Open" : "Closed"}</span>
+            </p>
+          </div>
+          <Button onClick={handleToggle} className="mt-8" size="small">
+            Close this modal
+          </Button>
+        </Dialog.Content>
+      </Dialog>
+    </div>
+  );
+}
+
+function renderCustomStyledDialog() {
+  return (
+    <Dialog
+      title="Custom Styled Dialog"
+      styling={{
+        maxWidth: "800px",
+        backgroundColor: "rgb(248 250 252)",
+        border: "2px solid rgb(59 130 246)",
+      }}
+    >
+      <Dialog.Trigger>
+        <Button variant="primary">Open Custom Styled Dialog</Button>
+      </Dialog.Trigger>
+      <Dialog.Content>
+        <p>This dialog has custom styling applied.</p>
+        <p>You can customize dimensions, colors, and other CSS properties.</p>
+      </Dialog.Content>
+    </Dialog>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/Dialog.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/Dialog.tsx
new file mode 100644
index 000000000000..7ecb99ede7b6
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/Dialog.tsx
@@ -0,0 +1,86 @@
+"use client";
+import * as RXDialog from "@radix-ui/react-dialog";
+import { CSSProperties, PropsWithChildren } from "react";
+import { Drawer } from "vaul";
+
+import { BaseContent } from "./components/BaseContent";
+import { BaseFooter } from "./components/BaseFooter";
+import { BaseTrigger } from "./components/BaseTrigger";
+import { DialogCtx, useDialogCtx } from "./useDialogCtx";
+import { useDialogInternal } from "./useDialogInternal";
+
+interface Props extends PropsWithChildren {
+  title?: React.ReactNode;
+  styling?: CSSProperties;
+
+  forceOpen?: boolean;
+  onClose?: (() => void) | undefined;
+  controlled?: {
+    isOpen: boolean;
+    set: (open: boolean) => Promise<void> | void;
+  };
+}
+
+Dialog.Trigger = BaseTrigger;
+Dialog.Content = BaseContent;
+Dialog.Footer = BaseFooter;
+
+function Dialog({
+  children,
+  title,
+  styling,
+
+  forceOpen = false,
+  onClose,
+  controlled,
+}: Props) {
+  const config = useDialogInternal({ controlled });
+  const isOpen = forceOpen || config.isOpen;
+
+  return (
+    <DialogCtx.Provider
+      value={{
+        title: title || "",
+        styling,
+
+        isOpen,
+        isForceOpen: forceOpen,
+        isLargeScreen: config.isLgScreenUp,
+        handleOpen: config.handleOpen,
+        handleClose: async () => {
+          await config.handleClose();
+          onClose?.();
+        },
+      }}
+    >
+      {config.isLgScreenUp ? (
+        <RXDialog.Root
+          open={isOpen}
+          onOpenChange={(open) => {
+            if (!open) {
+              config.handleClose();
+              onClose?.();
+            }
+          }}
+        >
+          {children}
+        </RXDialog.Root>
+      ) : (
+        <Drawer.Root
+          shouldScaleBackground
+          open={isOpen}
+          onOpenChange={(open) => {
+            if (!open) {
+              config.handleClose();
+              onClose?.();
+            }
+          }}
+        >
+          {children}
+        </Drawer.Root>
+      )}
+    </DialogCtx.Provider>
+  );
+}
+
+export { Dialog, useDialogCtx };
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseContent.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseContent.tsx
new file mode 100644
index 000000000000..9ad2e3bab5a8
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseContent.tsx
@@ -0,0 +1,17 @@
+import { PropsWithChildren } from "react";
+
+import { useDialogCtx } from "../useDialogCtx";
+import { DialogWrap } from "./DialogWrap";
+import { DrawerWrap } from "./DrawerWrap";
+
+type Props = PropsWithChildren;
+
+export function BaseContent({ children }: Props) {
+  const ctx = useDialogCtx();
+
+  return ctx.isLargeScreen ? (
+    <DialogWrap {...ctx}>{children}</DialogWrap>
+  ) : (
+    <DrawerWrap {...ctx}>{children}</DrawerWrap>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseFooter.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseFooter.tsx
new file mode 100644
index 000000000000..ce730569c8c1
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseFooter.tsx
@@ -0,0 +1,31 @@
+import { useDialogCtx } from "../useDialogCtx";
+
+interface Props {
+  children: React.ReactNode;
+  testId?: string;
+  className?: string;
+}
+
+export function BaseFooter({
+  children,
+  testId = "modal-footer",
+  className = "",
+}: Props) {
+  const ctx = useDialogCtx();
+
+  return ctx.isLargeScreen ? (
+    <div
+      className={`flex justify-end gap-4 pt-6 ${className}`}
+      data-testid={testId}
+    >
+      {children}
+    </div>
+  ) : (
+    <div
+      className={`flex w-full items-end justify-between gap-4 pt-6 ${className}`}
+      data-testid={testId}
+    >
+      {children}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseTrigger.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseTrigger.tsx
new file mode 100644
index 000000000000..ef58976c8aa6
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/BaseTrigger.tsx
@@ -0,0 +1,14 @@
+import React, { PropsWithChildren } from "react";
+
+import { useDialogCtx } from "../useDialogCtx";
+import { cn } from "@/lib/utils";
+
+export function BaseTrigger({ children }: PropsWithChildren) {
+  const ctx = useDialogCtx();
+  const child = children as React.ReactElement;
+
+  return React.cloneElement(child, {
+    onClick: ctx.handleOpen,
+    className: cn("cursor-pointer", child.props.className),
+  });
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/DialogWrap.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/components/DialogWrap.tsx
new file mode 100644
index 000000000000..23797ea18b0f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/DialogWrap.tsx
@@ -0,0 +1,70 @@
+import { cn } from "@/lib/utils";
+import { X } from "@phosphor-icons/react";
+import * as RXDialog from "@radix-ui/react-dialog";
+import { CSSProperties, PropsWithChildren } from "react";
+import { DialogCtx } from "../useDialogCtx";
+import { modalStyles } from "./styles";
+import styles from "./styles.module.css";
+import { Button } from "@/components/atoms/Button/Button";
+
+type BaseProps = DialogCtx & PropsWithChildren;
+
+interface Props extends BaseProps {
+  title: React.ReactNode;
+  styling: CSSProperties | undefined;
+  withGradient?: boolean;
+}
+
+export function DialogWrap({
+  children,
+  title,
+  styling = {},
+  isForceOpen,
+  handleClose,
+}: Props) {
+  return (
+    <RXDialog.Portal>
+      <RXDialog.Overlay className={modalStyles.overlay} />
+      <RXDialog.Content
+        onInteractOutside={handleClose}
+        onEscapeKeyDown={handleClose}
+        aria-describedby={undefined}
+        className={cn(modalStyles.content)}
+        style={{
+          ...styling,
+        }}
+      >
+        <div
+          className={`flex items-center justify-between ${
+            title ? "pb-6" : "pb-0"
+          }`}
+        >
+          {title ? (
+            <RXDialog.Title className={modalStyles.title}>
+              {title}
+            </RXDialog.Title>
+          ) : (
+            <span className="sr-only">
+              {/* Title is required for a11y compliance even if not displayed so screen readers can announce it */}
+              <RXDialog.Title>{title}</RXDialog.Title>
+            </span>
+          )}
+
+          {isForceOpen && !handleClose ? null : (
+            <Button
+              variant="ghost"
+              onClick={handleClose}
+              aria-label="Close"
+              className="absolute -right-2 top-2 z-50 hover:border-transparent hover:bg-transparent"
+            >
+              <X className={modalStyles.icon} />
+            </Button>
+          )}
+        </div>
+        <div className={`overflow-y-auto ${styles.scrollableContent}`}>
+          {children}
+        </div>
+      </RXDialog.Content>
+    </RXDialog.Portal>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/DrawerWrap.tsx b/autogpt_platform/frontend/src/components/molecules/Dialog/components/DrawerWrap.tsx
new file mode 100644
index 000000000000..f3e56986fd20
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/DrawerWrap.tsx
@@ -0,0 +1,71 @@
+import { Button } from "@/components/ui/button";
+import { X } from "@phosphor-icons/react";
+import { PropsWithChildren } from "react";
+import { Drawer } from "vaul";
+import { DialogCtx } from "../useDialogCtx";
+import { drawerStyles, modalStyles } from "./styles";
+import styles from "./styles.module.css";
+
+type BaseProps = DialogCtx & PropsWithChildren;
+
+interface Props extends BaseProps {
+  testId?: string;
+  title: React.ReactNode;
+  handleClose: () => void;
+}
+
+export function DrawerWrap({
+  children,
+  title,
+  testId,
+  handleClose,
+  isForceOpen,
+}: Props) {
+  const closeBtn = (
+    <Button
+      variant="link"
+      aria-label="Close"
+      onClick={handleClose}
+      className="!focus-visible:ring-0 p-0"
+    >
+      <X width="1.5rem" />
+    </Button>
+  );
+
+  return (
+    <Drawer.Portal>
+      <Drawer.Overlay className={drawerStyles.overlay} />
+      <Drawer.Content
+        aria-describedby={undefined}
+        className={drawerStyles.content}
+        data-testid={testId}
+        onInteractOutside={handleClose}
+      >
+        <div
+          className={`flex w-full items-center justify-between ${
+            title ? "pb-6" : "pb-0"
+          }`}
+        >
+          {title ? (
+            <Drawer.Title className={drawerStyles.title}>{title}</Drawer.Title>
+          ) : null}
+
+          {!isForceOpen ? (
+            title ? (
+              closeBtn
+            ) : (
+              <div
+                className={`${modalStyles.iconWrap} transition-colors duration-200 hover:bg-gray-200 dark:hover:bg-gray-700`}
+              >
+                {closeBtn}
+              </div>
+            )
+          ) : null}
+        </div>
+        <div className={`overflow-auto ${styles.scrollableContent}`}>
+          {children}
+        </div>
+      </Drawer.Content>
+    </Drawer.Portal>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/styles.module.css b/autogpt_platform/frontend/src/components/molecules/Dialog/components/styles.module.css
new file mode 100644
index 000000000000..51040dbc15be
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/styles.module.css
@@ -0,0 +1,43 @@
+/* Scrollable content area for dialogs */
+.scrollableContent {
+  scrollbar-width: thin;
+  scrollbar-color: rgb(209, 213, 219) white;
+}
+
+/* Webkit scrollbar styles */
+.scrollableContent::-webkit-scrollbar {
+  width: 8px;
+}
+
+.scrollableContent::-webkit-scrollbar-track {
+  background: white;
+  border-radius: 4px;
+}
+
+.scrollableContent::-webkit-scrollbar-thumb {
+  background: rgb(209, 213, 219); /* gray-300 */
+  border-radius: 4px;
+}
+
+.scrollableContent::-webkit-scrollbar-thumb:hover {
+  background: rgb(156, 163, 175); /* gray-400 */
+}
+
+/* Dark mode support */
+@media (prefers-color-scheme: dark) {
+  .scrollableContent {
+    scrollbar-color: rgb(107, 114, 128) rgb(31, 41, 55);
+  }
+
+  .scrollableContent::-webkit-scrollbar-track {
+    background: rgb(31, 41, 55);
+  }
+
+  .scrollableContent::-webkit-scrollbar-thumb {
+    background: rgb(107, 114, 128); /* gray-500 */
+  }
+
+  .scrollableContent::-webkit-scrollbar-thumb:hover {
+    background: rgb(75, 85, 99); /* gray-600 */
+  }
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/components/styles.ts b/autogpt_platform/frontend/src/components/molecules/Dialog/components/styles.ts
new file mode 100644
index 000000000000..e35fce8926ac
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/components/styles.ts
@@ -0,0 +1,23 @@
+// Common styles as Tailwind class strings
+const commonStyles = {
+  title: "font-poppins text-md md:text-lg leading-none",
+  overlay:
+    "fixed inset-0 z-50 bg-stone-500/20 dark:bg-black/50 backdrop-blur-md animate-fade-in",
+  content:
+    "bg-white p-6 fixed rounded-2xlarge flex flex-col z-50 w-full overflow-hidden",
+};
+
+// Modal specific styles
+export const modalStyles = {
+  ...commonStyles,
+  content: `${commonStyles.content} p-6 border border-stone-200 overflow-y-auto min-w-[40vw] max-w-[60vw] max-h-[95vh] top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 animate-fadein`,
+  iconWrap:
+    "absolute top-2 right-3 bg-transparent p-2 rounded-full transition-colors duration-300 ease-in-out outline-none border-none",
+  icon: "w-4 h-4 text-stone-800",
+};
+
+// Drawer specific styles
+export const drawerStyles = {
+  ...commonStyles,
+  content: `${commonStyles.content} max-h-[90vh] w-full bottom-0 rounded-br-none rounded-bl-none`,
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/useDialogCtx.ts b/autogpt_platform/frontend/src/components/molecules/Dialog/useDialogCtx.ts
new file mode 100644
index 000000000000..6d0051d7a44f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/useDialogCtx.ts
@@ -0,0 +1,27 @@
+import { CSSProperties, createContext, useContext } from "react";
+
+export function useDialogCtx() {
+  const modalContext = useContext(DialogCtx);
+
+  return modalContext;
+}
+
+export interface DialogCtx {
+  title: React.ReactNode;
+  handleOpen: () => void;
+  handleClose: () => void;
+  isOpen: boolean;
+  isForceOpen: boolean;
+  isLargeScreen: boolean;
+  styling: CSSProperties | undefined;
+}
+
+export const DialogCtx = createContext<DialogCtx>({
+  title: "",
+  isOpen: false,
+  isForceOpen: false,
+  isLargeScreen: true,
+  handleOpen: () => undefined,
+  handleClose: () => undefined,
+  styling: {},
+});
diff --git a/autogpt_platform/frontend/src/components/molecules/Dialog/useDialogInternal.ts b/autogpt_platform/frontend/src/components/molecules/Dialog/useDialogInternal.ts
new file mode 100644
index 000000000000..1973fa9a8eb4
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Dialog/useDialogInternal.ts
@@ -0,0 +1,51 @@
+import { isLargeScreen, useBreakpoint } from "@/lib/hooks/useBreakpoint";
+import { useEffect, useState } from "react";
+
+type Args = {
+  controlled:
+    | {
+        isOpen: boolean;
+        set: (open: boolean) => Promise<void> | void;
+      }
+    | undefined;
+};
+
+export function useDialogInternal({ controlled }: Args) {
+  const [isOpen, setIsOpen] = useState(false);
+
+  const breakpoint = useBreakpoint();
+
+  const [isLgScreenUp, setIsLgScreenUp] = useState(isLargeScreen(breakpoint));
+
+  useEffect(() => {
+    setIsLgScreenUp(isLargeScreen(breakpoint));
+  }, [breakpoint]);
+
+  // if first opened as modal, or drawer - we need to keep it this way
+  // because, given the current implementation, we can't switch between modal and drawer without a full remount
+
+  async function handleOpen() {
+    setIsLgScreenUp(isLargeScreen(breakpoint));
+
+    if (controlled) {
+      await controlled.set(true);
+    } else {
+      setIsOpen(true);
+    }
+  }
+
+  async function handleClose() {
+    if (controlled) {
+      await controlled.set(false);
+    } else {
+      setIsOpen(false);
+    }
+  }
+
+  return {
+    isOpen: controlled ? controlled.isOpen : isOpen,
+    handleOpen,
+    handleClose,
+    isLgScreenUp,
+  };
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/ErrorCard.stories.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/ErrorCard.stories.tsx
new file mode 100644
index 000000000000..66182215ef6a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/ErrorCard.stories.tsx
@@ -0,0 +1,293 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { ErrorCard } from "./ErrorCard";
+import { ArrowClockwise } from "@phosphor-icons/react";
+
+const meta: Meta<typeof ErrorCard> = {
+  title: "Molecules/ErrorCard",
+  component: ErrorCard,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component: `
+## ErrorCard Component
+
+A reusable error card component that handles API query responses gracefully with elegant styling and user-friendly messaging.
+
+### ✨ Features
+
+- **Purple gradient border** - Elegant gradient from purple to light pastel purple
+- **Smart error handling** - Automatically detects HTTP errors vs response errors  
+- **User-friendly messages** - Non-technical, funny error messages for HTTP errors
+- **Loading state** - Supports custom loading slot or default spinner
+- **Action buttons** - Sentry error reporting with toast notifications and Discord help link
+- **Phosphor icons** - Uses phosphor icons throughout
+- **TypeScript support** - Full TypeScript interface support
+
+### 🎯 Magic Usage Pattern
+
+Just pass your API hook results directly:
+
+\`\`\`tsx
+<ErrorCard
+  isSuccess={isSuccess}
+  responseError={error || undefined}
+  httpError={response?.status !== 200 ? { 
+    status: response?.status,
+    statusText: "Request failed" 
+  } : undefined}
+  context="agent data"
+  onRetry={refetch}
+/>
+\`\`\`
+
+The component will automatically:
+1. Show loading spinner if not successful and no errors
+2. Show custom loading slot if provided  
+3. Handle HTTP errors with friendly messages
+4. Handle response errors with technical details
+5. Report errors to Sentry with comprehensive context
+6. Show toast notifications for error reporting feedback
+7. Provide retry and Discord help options
+8. Hide itself if successful and no errors
+
+### 🎭 User-Friendly HTTP Error Messages
+
+- **500+**: "Our servers are having a bit of a moment 🤖"
+- **404**: "We couldn't find what you're looking for. It might have wandered off somewhere! 🔍"  
+- **403**: "You don't have permission to access this. Maybe you need to sign in again? 🔐"
+- **429**: "Whoa there, speed racer! You're making requests too quickly. Take a breather and try again. ⏱️"
+- **400+**: "Something's not quite right with your request. Double-check and try again! ✨"
+        `,
+      },
+    },
+  },
+  tags: ["autodocs"],
+  argTypes: {
+    isSuccess: {
+      control: "boolean",
+      description: "Whether the API request was successful",
+      table: {
+        defaultValue: { summary: "false" },
+      },
+    },
+    responseError: {
+      control: "object",
+      description: "Error object from API response (validation errors, etc.)",
+    },
+    httpError: {
+      control: "object",
+      description: "HTTP error object with status code and message",
+    },
+    context: {
+      control: "text",
+      description: "Context for the error message (e.g., 'user data', 'agent')",
+      table: {
+        defaultValue: { summary: '"data"' },
+      },
+    },
+    loadingSlot: {
+      control: false,
+      description:
+        "Custom loading component to show instead of default spinner",
+    },
+    onRetry: {
+      control: false,
+      description:
+        "Callback function for retry button (button only shows if provided)",
+    },
+    className: {
+      control: "text",
+      description: "Additional CSS classes to apply",
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+/**
+ * Response errors are typically validation errors from the API.
+ * They show the technical error message in a code block for debugging.
+ */
+export const ResponseError: Story = {
+  args: {
+    isSuccess: false,
+    responseError: {
+      detail: [{ msg: "Invalid authentication credentials provided" }],
+    },
+    context: "user data",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * HTTP 500+ errors get a friendly, non-technical message about server issues.
+ */
+export const HttpError500: Story = {
+  args: {
+    isSuccess: false,
+    httpError: {
+      status: 500,
+      statusText: "Internal Server Error",
+    },
+    context: "agent data",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * HTTP 404 errors get a playful message about missing resources.
+ */
+export const HttpError404: Story = {
+  args: {
+    isSuccess: false,
+    httpError: {
+      status: 404,
+      statusText: "Not Found",
+    },
+    context: "agent data",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * HTTP 429 errors get a humorous rate limiting message.
+ */
+export const HttpError429: Story = {
+  args: {
+    isSuccess: false,
+    httpError: {
+      status: 429,
+      statusText: "Too Many Requests",
+    },
+    context: "API data",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * HTTP 403 errors suggest re-authentication.
+ */
+export const HttpError403: Story = {
+  args: {
+    isSuccess: false,
+    httpError: {
+      status: 403,
+      statusText: "Forbidden",
+    },
+    context: "user profile",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * Default loading state shows a spinning phosphor icon.
+ */
+export const LoadingState: Story = {
+  args: {
+    isSuccess: false,
+  },
+};
+
+/**
+ * You can provide a custom loading component via the loadingSlot prop.
+ */
+export const CustomLoadingSlot: Story = {
+  args: {
+    loadingSlot: (
+      <div className="flex items-center gap-3">
+        <ArrowClockwise
+          size={20}
+          weight="bold"
+          className="animate-spin text-purple-500"
+        />
+        <span className="text-zinc-600">Loading your awesome data...</span>
+      </div>
+    ),
+  },
+};
+
+/**
+ * Response errors can also have string error details instead of arrays.
+ */
+export const StringErrorDetail: Story = {
+  args: {
+    isSuccess: false,
+    responseError: {
+      detail: "Something went wrong with the database connection",
+    },
+    context: "database",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * If no onRetry callback is provided, the retry button won't appear.
+ */
+export const NoRetryButton: Story = {
+  args: {
+    isSuccess: false,
+    responseError: {
+      message: "This error cannot be retried",
+    },
+    context: "configuration",
+    // No onRetry prop - button won't show
+  },
+};
+
+/**
+ * Response errors with just a message property.
+ */
+export const SimpleMessage: Story = {
+  args: {
+    isSuccess: false,
+    responseError: {
+      message: "User session has expired",
+    },
+    context: "authentication",
+    onRetry: () => alert("Retry clicked!"),
+  },
+};
+
+/**
+ * Typical usage pattern with React Query or similar data fetching hooks.
+ */
+export const TypicalUsage: Story = {
+  args: {
+    isSuccess: false,
+    responseError: {
+      detail: [{ msg: "Agent not found in library" }],
+    },
+    context: "agent",
+    onRetry: () => alert("This would typically call refetch() or similar"),
+  },
+  parameters: {
+    docs: {
+      description: {
+        story: `
+This shows how you'd typically use ErrorCard with a data fetching hook:
+
+\`\`\`tsx
+function MyComponent() {
+  const { data: response, isSuccess, error } = useApiHook();
+  
+  return (
+    <ErrorCard
+      isSuccess={isSuccess}
+      responseError={error || undefined}
+      httpError={response?.status !== 200 ? {
+        status: response?.status,
+        statusText: "Request failed"
+      } : undefined}
+      context="agent"
+      onRetry={() => window.location.reload()}
+    />
+  );
+}
+\`\`\`
+        `,
+      },
+    },
+  },
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/ErrorCard.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/ErrorCard.tsx
new file mode 100644
index 000000000000..f41e119aaae9
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/ErrorCard.tsx
@@ -0,0 +1,61 @@
+import React from "react";
+import { getErrorMessage, getHttpErrorMessage, isHttpError } from "./helpers";
+import { CardWrapper } from "./components/CardWrapper";
+import { ErrorHeader } from "./components/ErrorHeader";
+import { ErrorMessage } from "./components/ErrorMessage";
+import { ActionButtons } from "./components/ActionButtons";
+
+export interface ErrorCardProps {
+  isSuccess?: boolean;
+  responseError?: {
+    detail?: Array<{ msg: string }> | string;
+    message?: string;
+  };
+  httpError?: {
+    status?: number;
+    statusText?: string;
+    message?: string;
+  };
+  context?: string;
+  loadingSlot?: React.ReactNode;
+  onRetry?: () => void;
+  className?: string;
+}
+
+export function ErrorCard({
+  isSuccess = false,
+  responseError,
+  httpError,
+  context = "data",
+  onRetry,
+  className = "",
+}: ErrorCardProps) {
+  if (isSuccess && !responseError && !httpError) {
+    return null;
+  }
+
+  const isHttp = isHttpError(httpError);
+
+  const errorMessage = isHttp
+    ? getHttpErrorMessage(httpError)
+    : getErrorMessage(responseError);
+
+  return (
+    <CardWrapper className={className}>
+      <div className="relative space-y-4 p-6">
+        <ErrorHeader />
+        <ErrorMessage
+          isHttpError={isHttp}
+          errorMessage={errorMessage}
+          context={context}
+        />
+        <ActionButtons
+          onRetry={onRetry}
+          responseError={responseError}
+          httpError={httpError}
+          context={context}
+        />
+      </div>
+    </CardWrapper>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ActionButtons.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ActionButtons.tsx
new file mode 100644
index 000000000000..d418fabaacc0
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ActionButtons.tsx
@@ -0,0 +1,51 @@
+import React from "react";
+import { ArrowClockwise, Bug, DiscordLogo } from "@phosphor-icons/react";
+import { handleReportError } from "../helpers";
+import { ErrorCardProps } from "../ErrorCard";
+import { Button } from "@/components/atoms/Button/Button";
+
+interface ActionButtonsProps {
+  onRetry?: () => void;
+  responseError?: ErrorCardProps["responseError"];
+  httpError?: ErrorCardProps["httpError"];
+  context: string;
+}
+
+export function ActionButtons({
+  onRetry,
+  responseError,
+  httpError,
+  context,
+}: ActionButtonsProps) {
+  return (
+    <div className="flex flex-col gap-3 pt-2 sm:flex-row">
+      {onRetry && (
+        <Button onClick={onRetry} variant="outline" size="small">
+          <ArrowClockwise size={16} weight="bold" />
+          Try Again
+        </Button>
+      )}
+
+      <Button
+        onClick={() => handleReportError(responseError, httpError, context)}
+        variant="ghost"
+        size="small"
+      >
+        <Bug size={16} weight="bold" />
+        Report Error
+      </Button>
+
+      <Button
+        as="NextLink"
+        variant="ghost"
+        size="small"
+        href="https://discord.gg/autogpt"
+        target="_blank"
+        rel="noopener noreferrer"
+      >
+        <DiscordLogo size={16} weight="fill" />
+        Get Help
+      </Button>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/CardWrapper.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/CardWrapper.tsx
new file mode 100644
index 000000000000..1504a53976ca
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/CardWrapper.tsx
@@ -0,0 +1,24 @@
+import React from "react";
+import { colors } from "@/components/styles/colors";
+
+interface CardWrapperProps {
+  children: React.ReactNode;
+  className?: string;
+}
+
+export function CardWrapper({ children, className = "" }: CardWrapperProps) {
+  return (
+    <div className={`relative overflow-hidden rounded-xl ${className}`}>
+      {/* Purple gradient border */}
+      <div
+        className="absolute inset-0 rounded-xl p-[1px]"
+        style={{
+          background: `linear-gradient(135deg, ${colors.zinc[500]}, ${colors.zinc[200]}, ${colors.zinc[100]})`,
+        }}
+      >
+        <div className="h-full w-full rounded-xl bg-white" />
+      </div>
+      {children}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ErrorHeader.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ErrorHeader.tsx
new file mode 100644
index 000000000000..fe1eb11938b4
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ErrorHeader.tsx
@@ -0,0 +1,18 @@
+import React from "react";
+import { Text } from "@/components/atoms/Text/Text";
+import { Warning } from "@phosphor-icons/react";
+
+export function ErrorHeader() {
+  return (
+    <div className="flex items-center gap-3">
+      <div className="flex-shrink-0">
+        <Warning size={24} weight="fill" className="text-red-400" />
+      </div>
+      <div>
+        <Text variant="large-semibold" className="text-zinc-800">
+          Something went wrong
+        </Text>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ErrorMessage.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ErrorMessage.tsx
new file mode 100644
index 000000000000..9efd45403a20
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/ErrorMessage.tsx
@@ -0,0 +1,35 @@
+import React from "react";
+import { Text } from "@/components/atoms/Text/Text";
+
+interface ErrorMessageProps {
+  isHttpError: boolean;
+  errorMessage: string;
+  context: string;
+}
+
+export function ErrorMessage({
+  isHttpError,
+  errorMessage,
+  context,
+}: ErrorMessageProps) {
+  return (
+    <div className="space-y-2">
+      {isHttpError ? (
+        <Text variant="body" className="text-zinc-700">
+          {errorMessage}
+        </Text>
+      ) : (
+        <>
+          <Text variant="body" className="text-zinc-700">
+            We had the following error when retrieving {context ?? "your data"}:
+          </Text>
+          <div className="rounded-lg border border-zinc-100 bg-zinc-50 p-3">
+            <Text variant="body" className="!text-red-700">
+              {errorMessage}
+            </Text>
+          </div>
+        </>
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/LoadingState.tsx b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/LoadingState.tsx
new file mode 100644
index 000000000000..697a14b10f22
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/components/LoadingState.tsx
@@ -0,0 +1,26 @@
+import React from "react";
+import { Text } from "@/components/atoms/Text/Text";
+import { ArrowClockwise } from "@phosphor-icons/react";
+
+interface LoadingStateProps {
+  loadingSlot?: React.ReactNode;
+}
+
+export function LoadingState({ loadingSlot }: LoadingStateProps) {
+  return (
+    <div className="relative flex items-center justify-center gap-3 p-6">
+      {loadingSlot || (
+        <>
+          <ArrowClockwise
+            size={20}
+            weight="bold"
+            className="animate-spin text-purple-500"
+          />
+          <Text variant="body" className="text-zinc-600">
+            Loading...
+          </Text>
+        </>
+      )}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ErrorCard/helpers.ts b/autogpt_platform/frontend/src/components/molecules/ErrorCard/helpers.ts
new file mode 100644
index 000000000000..d381a1ee4486
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ErrorCard/helpers.ts
@@ -0,0 +1,124 @@
+import { ErrorCardProps } from "./ErrorCard";
+
+export function getErrorMessage(
+  error: ErrorCardProps["responseError"],
+): string {
+  if (!error) return "Unknown error occurred";
+
+  if (typeof error.detail === "string") return error.detail;
+  if (Array.isArray(error.detail) && error.detail.length > 0) {
+    return error.detail[0].msg;
+  }
+  if (error.message) return error.message;
+
+  return "Unknown error occurred";
+}
+
+export function getHttpErrorMessage(
+  httpError: ErrorCardProps["httpError"],
+): string {
+  if (!httpError) return "";
+
+  const status = httpError.status || 0;
+
+  if (status >= 500) {
+    return "An internal server error has occurred. Please try again in a few minutes.";
+  }
+
+  if (status === 404) {
+    return "The requested resource could not be found. Please verify the URL and try again.";
+  }
+
+  if (status === 403) {
+    return "Access to this resource is forbidden. Please check your permissions or sign in again.";
+  }
+
+  if (status === 429) {
+    return "Too many requests have been made. Please wait a moment before trying again.";
+  }
+
+  if (status >= 400) {
+    return "The request could not be processed. Please review your input and try again.";
+  }
+
+  return "An unexpected error has occurred. Our team has been notified and is working to resolve the issue.";
+}
+
+export function shouldShowError(
+  isSuccess: boolean,
+  responseError?: ErrorCardProps["responseError"],
+  httpError?: ErrorCardProps["httpError"],
+): boolean {
+  return !isSuccess || !!responseError || !!httpError;
+}
+
+export function isHttpError(httpError?: ErrorCardProps["httpError"]): boolean {
+  return !!httpError;
+}
+
+export function handleReportError(
+  responseError?: ErrorCardProps["responseError"],
+  httpError?: ErrorCardProps["httpError"],
+  context?: string,
+): void {
+  try {
+    // Import Sentry dynamically to avoid SSR issues
+    import("@sentry/nextjs").then((Sentry) => {
+      // Create a comprehensive error object for Sentry
+      const errorData = {
+        responseError,
+        httpError,
+        context,
+        timestamp: new Date().toISOString(),
+        userAgent:
+          typeof window !== "undefined" ? window.navigator.userAgent : "server",
+        url: typeof window !== "undefined" ? window.location.href : "unknown",
+      };
+
+      // Create an error object that Sentry can capture
+      const errorMessage = httpError
+        ? `HTTP ${httpError.status} - ${httpError.statusText || "Error"}`
+        : responseError
+          ? `Response Error - ${getErrorMessage(responseError)}`
+          : "Unknown Error";
+
+      const error = new Error(
+        `ErrorCard: ${context ? `${context} ` : ""}${errorMessage}`,
+      );
+
+      Sentry.withScope((scope) => {
+        scope.setTag("component", "ErrorCard");
+        scope.setTag("errorType", httpError ? "http" : "response");
+        scope.setContext("errorDetails", errorData);
+
+        if (context) {
+          scope.setTag("context", context);
+        }
+
+        if (httpError?.status) {
+          scope.setTag("httpStatus", httpError.status.toString());
+        }
+
+        Sentry.captureException(error);
+      });
+
+      // Show success toast notification after pressing the report error button
+      import("sonner").then(({ toast }) => {
+        toast.success("Error reported successfully", {
+          description:
+            "Thank you for helping us improve! Our team has been notified.",
+          duration: 4000,
+        });
+      });
+    });
+  } catch (error) {
+    console.error("Failed to report error to Sentry:", error);
+    // Fallback toast notification
+    import("sonner").then(({ toast }) => {
+      toast.error("Failed to report error", {
+        description: "Please try again or contact support directly.",
+        duration: 4000,
+      });
+    });
+  }
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/MultiToggle/MultiToggle.stories.tsx b/autogpt_platform/frontend/src/components/molecules/MultiToggle/MultiToggle.stories.tsx
new file mode 100644
index 000000000000..7c94ed23bb4c
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/MultiToggle/MultiToggle.stories.tsx
@@ -0,0 +1,129 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { useState } from "react";
+import { MultiToggle } from "./MultiToggle";
+
+const meta: Meta<typeof MultiToggle> = {
+  title: "Molecules/MultiToggle",
+  tags: ["autodocs"],
+  component: MultiToggle,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component:
+          "MultiToggle component that behaves like a checkbox group, allowing multiple items to be selected. Each item uses outline button styling with purple-600 accent for selected state.",
+      },
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+const weekdayItems = [
+  { value: "select-all", label: "Select all" },
+  { value: "weekdays", label: "Weekdays" },
+  { value: "weekends", label: "Weekends" },
+];
+
+const dayItems = [
+  { value: "su", label: "Su" },
+  { value: "mo", label: "Mo" },
+  { value: "tu", label: "Tu" },
+  { value: "we", label: "We" },
+  { value: "th", label: "Th" },
+  { value: "fr", label: "Fr" },
+  { value: "sa", label: "Sa" },
+];
+
+export const WeekdaySelector: Story = {
+  render: function WeekdaySelectorStory() {
+    const [selectedValues, setSelectedValues] = useState<string[]>([]);
+
+    return (
+      <div className="space-y-4">
+        <div className="flex items-center gap-2">
+          <span className="text-sm font-medium">On</span>
+          <MultiToggle
+            items={weekdayItems}
+            selectedValues={selectedValues}
+            onChange={setSelectedValues}
+            aria-label="Select scheduling options"
+          />
+        </div>
+        <MultiToggle
+          items={dayItems}
+          selectedValues={selectedValues}
+          onChange={setSelectedValues}
+          aria-label="Select specific days"
+        />
+      </div>
+    );
+  },
+};
+
+export const SimpleExample: Story = {
+  render: function SimpleExampleStory() {
+    const [selectedValues, setSelectedValues] = useState<string[]>(["option2"]);
+
+    return (
+      <MultiToggle
+        items={[
+          { value: "option1", label: "Option 1" },
+          { value: "option2", label: "Option 2" },
+          { value: "option3", label: "Option 3" },
+        ]}
+        selectedValues={selectedValues}
+        onChange={setSelectedValues}
+        aria-label="Select options"
+      />
+    );
+  },
+};
+
+export const WithDisabledItems: Story = {
+  render: function WithDisabledItemsStory() {
+    const [selectedValues, setSelectedValues] = useState<string[]>([
+      "enabled1",
+    ]);
+
+    return (
+      <MultiToggle
+        items={[
+          { value: "enabled1", label: "Enabled 1" },
+          { value: "disabled1", label: "Disabled 1", disabled: true },
+          { value: "enabled2", label: "Enabled 2" },
+          { value: "disabled2", label: "Disabled 2", disabled: true },
+        ]}
+        selectedValues={selectedValues}
+        onChange={setSelectedValues}
+        aria-label="Select options with some disabled"
+      />
+    );
+  },
+};
+
+export const AllSelected: Story = {
+  render: function AllSelectedStory() {
+    const [selectedValues, setSelectedValues] = useState<string[]>([
+      "option1",
+      "option2",
+      "option3",
+      "option4",
+    ]);
+
+    return (
+      <MultiToggle
+        items={[
+          { value: "option1", label: "Option 1" },
+          { value: "option2", label: "Option 2" },
+          { value: "option3", label: "Option 3" },
+          { value: "option4", label: "Option 4" },
+        ]}
+        selectedValues={selectedValues}
+        onChange={setSelectedValues}
+        aria-label="All options selected"
+      />
+    );
+  },
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/MultiToggle/MultiToggle.tsx b/autogpt_platform/frontend/src/components/molecules/MultiToggle/MultiToggle.tsx
new file mode 100644
index 000000000000..ad74d3d70f64
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/MultiToggle/MultiToggle.tsx
@@ -0,0 +1,89 @@
+"use client";
+
+import { cn } from "@/lib/utils";
+import React, { useId } from "react";
+
+type MultiToggleItem = {
+  value: string;
+  label: string;
+  disabled?: boolean;
+};
+
+type MultiToggleProps = {
+  items: MultiToggleItem[];
+  selectedValues: string[];
+  onChange: (selectedValues: string[]) => void;
+  className?: string;
+  "aria-label"?: string;
+  "aria-labelledby"?: string;
+};
+
+export function MultiToggle({
+  items,
+  selectedValues,
+  onChange,
+  className,
+  "aria-label": ariaLabel,
+  "aria-labelledby": ariaLabelledBy,
+}: MultiToggleProps) {
+  const groupId = useId();
+
+  function handleToggle(value: string) {
+    if (selectedValues.includes(value)) {
+      onChange(selectedValues.filter((v) => v !== value));
+    } else {
+      onChange([...selectedValues, value]);
+    }
+  }
+
+  function handleKeyDown(event: React.KeyboardEvent, value: string) {
+    if (event.key === " " || event.key === "Enter") {
+      event.preventDefault();
+      handleToggle(value);
+    }
+  }
+
+  return (
+    <div
+      role="group"
+      aria-label={ariaLabel}
+      aria-labelledby={ariaLabelledBy}
+      className={cn("flex flex-wrap gap-2", className)}
+    >
+      {items.map((item) => {
+        const isSelected = selectedValues.includes(item.value);
+        const itemId = `${groupId}-${item.value}`;
+
+        return (
+          <button
+            key={item.value}
+            id={itemId}
+            type="button"
+            role="checkbox"
+            aria-checked={isSelected}
+            disabled={item.disabled}
+            onClick={() => handleToggle(item.value)}
+            onKeyDown={(e) => handleKeyDown(e, item.value)}
+            className={cn(
+              // Base button styles similar to outline variant
+              "inline-flex items-center justify-center whitespace-nowrap font-medium transition-colors",
+              "focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-purple-600 focus-visible:ring-offset-2",
+              "disabled:pointer-events-none disabled:opacity-50",
+              "rounded-full border font-sans",
+              "h-[2.25rem] px-4 py-2 text-sm leading-[22px]",
+              // Default outline styles
+              "border-zinc-700 bg-transparent text-black hover:bg-zinc-100",
+              // Selected styles with purple-600
+              isSelected &&
+                "border-purple-600 bg-purple-50 text-purple-600 hover:bg-purple-100",
+              // Disabled styles
+              item.disabled && "border-zinc-200 text-zinc-200 opacity-50",
+            )}
+          >
+            {item.label}
+          </button>
+        );
+      })}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ShowMoreText/ShowMoreText.stories.tsx b/autogpt_platform/frontend/src/components/molecules/ShowMoreText/ShowMoreText.stories.tsx
new file mode 100644
index 000000000000..e6afdd0163c0
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ShowMoreText/ShowMoreText.stories.tsx
@@ -0,0 +1,286 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { ShowMoreText } from "./ShowMoreText";
+
+const meta: Meta<typeof ShowMoreText> = {
+  title: "Molecules/ShowMoreText",
+  component: ShowMoreText,
+  parameters: {
+    layout: "centered",
+    docs: {
+      description: {
+        component: `
+## ShowMoreText Component
+
+A simplified text truncation component that shows a preview of text content with an expand/collapse toggle functionality.
+
+### ✨ Features
+
+- **String content only** - Simplified to only accept string content
+- **Text variant integration** - Uses Text component variants for consistent styling
+- **Adaptive toggle sizing** - Toggle icons automatically size to match text variant
+- **Smart truncation** - Automatically truncates text based on character limit
+- **No heading variants** - Only supports body text variants (lead, large, body, small)
+- **Inline toggle** - Toggle appears inline at the end of the text
+- **TypeScript support** - Full TypeScript interface support
+
+### 🎯 Usage
+
+\`\`\`tsx
+<ShowMoreText 
+  variant="body" 
+  previewLimit={150}
+>
+  This is a long piece of text that will be truncated at the specified 
+  character limit and show a "more" button to expand the full content.
+</ShowMoreText>
+\`\`\`
+
+### Props
+
+- **children**: String content to show/truncate
+- **previewLimit**: Character limit for preview (default: 100)
+- **variant**: Text variant to use (excludes heading variants)
+- **className**: Additional classes for root container
+- **previewClassName**: Additional classes applied in preview mode
+- **expandedClassName**: Additional classes applied in expanded mode
+- **toggleClassName**: Additional classes for the toggle button
+- **defaultExpanded**: Whether to start in expanded state (default: false)
+
+### Supported Text Variants
+
+- **lead** - Large leading text
+- **large**, **large-medium**, **large-semibold** - Large body text variants
+- **body**, **body-medium** - Standard body text variants
+- **small**, **small-medium** - Small text variants
+        `,
+      },
+    },
+  },
+  tags: ["autodocs"],
+  argTypes: {
+    children: {
+      control: "text",
+      description: "String content to show with truncation",
+    },
+    previewLimit: {
+      control: "number",
+      description: "Character limit for preview text",
+      table: {
+        defaultValue: { summary: "100" },
+      },
+    },
+    variant: {
+      control: "select",
+      options: [
+        "lead",
+        "large",
+        "large-medium",
+        "large-semibold",
+        "body",
+        "body-medium",
+        "small",
+        "small-medium",
+      ],
+      description: "Text variant to use for styling",
+      table: {
+        defaultValue: { summary: "body" },
+      },
+    },
+    className: {
+      control: "text",
+      description: "Additional CSS classes for root container",
+    },
+    toggleClassName: {
+      control: "text",
+      description: "Additional CSS classes for the toggle button",
+    },
+    defaultExpanded: {
+      control: "boolean",
+      description: "Whether to start in expanded state",
+      table: {
+        defaultValue: { summary: "false" },
+      },
+    },
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+/**
+ * Basic text truncation with default body variant and 100 character limit.
+ */
+export const Default: Story = {
+  args: {
+    children:
+      "This is a longer piece of text that will be truncated at the preview limit. When you click 'more', you'll see the full content. This demonstrates the basic functionality of the ShowMoreText component with plain text content.",
+    variant: "body",
+    previewLimit: 100,
+  },
+};
+
+/**
+ * Short text that doesn't need truncation - toggle won't appear.
+ */
+export const ShortText: Story = {
+  args: {
+    children: "This text is short enough that no truncation is needed.",
+    variant: "body",
+    previewLimit: 100,
+  },
+};
+
+/**
+ * Large leading text variant with custom preview limit.
+ */
+export const LeadVariant: Story = {
+  args: {
+    children:
+      "This example uses the lead text variant which is larger and more prominent. The toggle icons automatically scale to match the text size for a cohesive design.",
+    variant: "lead",
+    previewLimit: 80,
+  },
+};
+
+/**
+ * Large text variants demonstration.
+ */
+export const LargeVariants: Story = {
+  render: () => (
+    <div className="max-w-2xl space-y-4">
+      <ShowMoreText variant="large" previewLimit={60}>
+        Large variant: This demonstrates how the ShowMoreText component works
+        with the large text variant and how the toggle scales appropriately.
+      </ShowMoreText>
+      <ShowMoreText variant="large-medium" previewLimit={60}>
+        Large medium variant: This shows the medium weight version of the large
+        text variant with proper toggle sizing.
+      </ShowMoreText>
+      <ShowMoreText variant="large-semibold" previewLimit={60}>
+        Large semibold variant: This demonstrates the semibold version with
+        heavier font weight and matching toggle.
+      </ShowMoreText>
+    </div>
+  ),
+};
+
+/**
+ * Body text variants demonstration.
+ */
+export const BodyVariants: Story = {
+  render: () => (
+    <div className="max-w-xl space-y-4">
+      <ShowMoreText variant="body" previewLimit={70}>
+        Body variant: This is the default text variant used for most content. It
+        provides good readability and spacing.
+      </ShowMoreText>
+      <ShowMoreText variant="body-medium" previewLimit={70}>
+        Body medium variant: This uses medium font weight for slightly more
+        emphasis while maintaining readability.
+      </ShowMoreText>
+    </div>
+  ),
+};
+
+/**
+ * Small text variants demonstration.
+ */
+export const SmallVariants: Story = {
+  render: () => (
+    <div className="max-w-lg space-y-4">
+      <ShowMoreText variant="small" previewLimit={80}>
+        Small variant: This demonstrates the small text variant which is useful
+        for secondary information, captions, or footnotes where space is
+        limited.
+      </ShowMoreText>
+      <ShowMoreText variant="small-medium" previewLimit={80}>
+        Small medium variant: This uses the small size with medium font weight
+        for small text that needs slightly more emphasis.
+      </ShowMoreText>
+    </div>
+  ),
+};
+
+/**
+ * Custom preview limit of 50 characters.
+ */
+export const CustomLimit: Story = {
+  args: {
+    children:
+      "This example shows how you can customize the preview limit to show more or less text in the initial preview before truncation occurs.",
+    variant: "body",
+    previewLimit: 50,
+  },
+};
+
+/**
+ * Component that starts in expanded state.
+ */
+export const DefaultExpanded: Story = {
+  args: {
+    children:
+      "This ShowMoreText component starts in the expanded state by default. You can click 'less' to collapse it to the preview mode. This is useful when you want to show the full content initially but still provide the option to collapse it.",
+    variant: "body",
+    previewLimit: 80,
+    defaultExpanded: true,
+  },
+};
+
+/**
+ * Custom styling for different states.
+ */
+export const CustomStyling: Story = {
+  args: {
+    children:
+      "This example demonstrates custom styling options. The preview state has a different background color, the expanded state has different padding, and the toggle button has custom styling to match your design system.",
+    variant: "body-medium",
+    previewLimit: 80,
+    className: "max-w-md",
+    toggleClassName: "text-blue-600 hover:text-blue-800",
+  },
+};
+
+/**
+ * Very long content to demonstrate with different text sizes.
+ */
+export const LongContent: Story = {
+  render: () => (
+    <div className="max-w-2xl space-y-6">
+      <div>
+        <h3 className="mb-2 text-sm font-medium text-gray-500">Lead Text</h3>
+        <ShowMoreText variant="lead" previewLimit={120}>
+          Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do
+          eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
+          minim veniam, quis nostrud exercitation ullamco laboris nisi ut
+          aliquip ex ea commodo consequat. Duis aute irure dolor in
+          reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla
+          pariatur.
+        </ShowMoreText>
+      </div>
+
+      <div>
+        <h3 className="mb-2 text-sm font-medium text-gray-500">Body Text</h3>
+        <ShowMoreText variant="body" previewLimit={120}>
+          Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do
+          eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
+          minim veniam, quis nostrud exercitation ullamco laboris nisi ut
+          aliquip ex ea commodo consequat. Duis aute irure dolor in
+          reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla
+          pariatur.
+        </ShowMoreText>
+      </div>
+
+      <div>
+        <h3 className="mb-2 text-sm font-medium text-gray-500">Small Text</h3>
+        <ShowMoreText variant="small" previewLimit={120}>
+          Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do
+          eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
+          minim veniam, quis nostrud exercitation ullamco laboris nisi ut
+          aliquip ex ea commodo consequat. Duis aute irure dolor in
+          reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla
+          pariatur.
+        </ShowMoreText>
+      </div>
+    </div>
+  ),
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/ShowMoreText/ShowMoreText.tsx b/autogpt_platform/frontend/src/components/molecules/ShowMoreText/ShowMoreText.tsx
new file mode 100644
index 000000000000..d6b7d243de72
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ShowMoreText/ShowMoreText.tsx
@@ -0,0 +1,77 @@
+"use client";
+
+import React from "react";
+import { cn } from "@/lib/utils";
+import { CaretDownIcon, CaretUpIcon } from "@phosphor-icons/react";
+import { Text } from "@/components/atoms/Text/Text";
+import { getIconSize, ShowMoreTextVariant } from "./helpers";
+
+interface Props {
+  children: string;
+  previewLimit?: number;
+  variant?: ShowMoreTextVariant;
+  className?: string;
+  toggleClassName?: string;
+  defaultExpanded?: boolean;
+}
+
+export function ShowMoreText({
+  children,
+  previewLimit = 100,
+  variant = "body",
+  className,
+  toggleClassName,
+  defaultExpanded = false,
+}: Props) {
+  const [isExpanded, setIsExpanded] = React.useState(defaultExpanded);
+
+  const shouldTruncate = children.length > previewLimit;
+  const previewText = shouldTruncate
+    ? children.slice(0, previewLimit)
+    : children;
+  const displayText = isExpanded ? children : previewText;
+  const iconSize = getIconSize(variant);
+
+  if (!shouldTruncate) {
+    return (
+      <Text variant={variant} className={cn(className)}>
+        {children}
+      </Text>
+    );
+  }
+
+  return (
+    <Text
+      variant={variant}
+      className={cn(
+        isExpanded
+          ? "flex-end flex flex-wrap items-center"
+          : "flex-start flex flex-wrap items-center",
+        className,
+      )}
+    >
+      {displayText}
+      {!isExpanded && "..."}
+      <button
+        onClick={() => setIsExpanded(!isExpanded)}
+        className={cn(
+          "ml-1 inline-flex items-center gap-1 font-medium text-black",
+          toggleClassName,
+        )}
+        type="button"
+      >
+        {isExpanded ? (
+          <>
+            <CaretUpIcon size={iconSize} weight="bold" />
+            <span>less</span>
+          </>
+        ) : (
+          <>
+            <CaretDownIcon size={iconSize} weight="bold" />
+            <span>more</span>
+          </>
+        )}
+      </button>
+    </Text>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/ShowMoreText/helpers.ts b/autogpt_platform/frontend/src/components/molecules/ShowMoreText/helpers.ts
new file mode 100644
index 000000000000..4724cf3e9b30
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/ShowMoreText/helpers.ts
@@ -0,0 +1,25 @@
+import { TextVariant } from "@/components/atoms/Text/Text";
+
+export type ShowMoreTextVariant = Exclude<
+  TextVariant,
+  "h1" | "h2" | "h3" | "h4"
+>;
+
+export function getIconSize(variant: ShowMoreTextVariant): number {
+  switch (variant) {
+    case "lead":
+      return 20;
+    case "large":
+    case "large-medium":
+    case "large-semibold":
+      return 16;
+    case "body":
+    case "body-medium":
+      return 14;
+    case "small":
+    case "small-medium":
+      return 12;
+    default:
+      return 14;
+  }
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/TabsLine/TabsLine.stories.tsx b/autogpt_platform/frontend/src/components/molecules/TabsLine/TabsLine.stories.tsx
new file mode 100644
index 000000000000..8d1922c42059
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/TabsLine/TabsLine.stories.tsx
@@ -0,0 +1,258 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import {
+  TabsLine,
+  TabsLineContent,
+  TabsLineList,
+  TabsLineTrigger,
+} from "./TabsLine";
+
+const meta = {
+  title: "Molecules/TabsLine",
+  component: TabsLine,
+  parameters: {
+    layout: "fullscreen",
+  },
+  tags: ["autodocs"],
+} satisfies Meta<typeof TabsLine>;
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+// Helper component to demonstrate tabs functionality
+function TabsDemo() {
+  return (
+    <div className="flex flex-col gap-8 p-8">
+      <h2 className="text-2xl font-bold">TabsLine Examples</h2>
+
+      <div className="space-y-6">
+        <div>
+          <h3 className="mb-4 text-lg font-semibold">Basic Tabs</h3>
+          <TabsLine defaultValue="tab1" className="w-full">
+            <TabsLineList>
+              <TabsLineTrigger value="tab1">Account</TabsLineTrigger>
+              <TabsLineTrigger value="tab2">Password</TabsLineTrigger>
+              <TabsLineTrigger value="tab3">Settings</TabsLineTrigger>
+            </TabsLineList>
+            <TabsLineContent value="tab1">
+              <div className="p-4 text-sm">
+                Make changes to your account here. Click save when you&apos;re
+                done.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="tab2">
+              <div className="p-4 text-sm">
+                Change your password here. After saving, you&apos;ll be logged
+                out.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="tab3">
+              <div className="p-4 text-sm">
+                Update your preferences and settings here.
+              </div>
+            </TabsLineContent>
+          </TabsLine>
+        </div>
+
+        <div>
+          <h3 className="mb-4 text-lg font-semibold">Many Tabs</h3>
+          <TabsLine defaultValue="overview" className="w-full">
+            <TabsLineList>
+              <TabsLineTrigger value="overview">Overview</TabsLineTrigger>
+              <TabsLineTrigger value="analytics">Analytics</TabsLineTrigger>
+              <TabsLineTrigger value="reports">Reports</TabsLineTrigger>
+              <TabsLineTrigger value="notifications">
+                Notifications
+              </TabsLineTrigger>
+              <TabsLineTrigger value="integrations">
+                Integrations
+              </TabsLineTrigger>
+              <TabsLineTrigger value="billing">Billing</TabsLineTrigger>
+            </TabsLineList>
+            <TabsLineContent value="overview">
+              <div className="p-4 text-sm">
+                Dashboard overview with key metrics and recent activity.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="analytics">
+              <div className="p-4 text-sm">
+                Detailed analytics and performance metrics.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="reports">
+              <div className="p-4 text-sm">
+                Generate and view reports for your account.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="notifications">
+              <div className="p-4 text-sm">
+                Manage your notification preferences.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="integrations">
+              <div className="p-4 text-sm">
+                Connect and manage third-party integrations.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="billing">
+              <div className="p-4 text-sm">
+                View and manage your billing information.
+              </div>
+            </TabsLineContent>
+          </TabsLine>
+        </div>
+
+        <div>
+          <h3 className="mb-4 text-lg font-semibold">Disabled Tab</h3>
+          <TabsLine defaultValue="active1" className="w-full">
+            <TabsLineList>
+              <TabsLineTrigger value="active1">Active Tab</TabsLineTrigger>
+              <TabsLineTrigger value="disabled" disabled>
+                Disabled Tab
+              </TabsLineTrigger>
+              <TabsLineTrigger value="active2">Another Active</TabsLineTrigger>
+            </TabsLineList>
+            <TabsLineContent value="active1">
+              <div className="p-4 text-sm">
+                This is an active tab that you can interact with.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="disabled">
+              <div className="p-4 text-sm">
+                This content is for the disabled tab.
+              </div>
+            </TabsLineContent>
+            <TabsLineContent value="active2">
+              <div className="p-4 text-sm">
+                Another active tab with different content.
+              </div>
+            </TabsLineContent>
+          </TabsLine>
+        </div>
+      </div>
+    </div>
+  );
+}
+
+export const Default: Story = {
+  render: () => <TabsDemo />,
+};
+
+export const BasicTabs: Story = {
+  render: () => (
+    <div className="p-8">
+      <TabsLine defaultValue="account" className="w-[400px]">
+        <TabsLineList>
+          <TabsLineTrigger value="account">Account</TabsLineTrigger>
+          <TabsLineTrigger value="password">Password</TabsLineTrigger>
+        </TabsLineList>
+        <TabsLineContent value="account">
+          <div className="p-4 text-sm">
+            Make changes to your account here. Click save when you&apos;re done.
+          </div>
+        </TabsLineContent>
+        <TabsLineContent value="password">
+          <div className="p-4 text-sm">
+            Change your password here. After saving, you&apos;ll be logged out.
+          </div>
+        </TabsLineContent>
+      </TabsLine>
+    </div>
+  ),
+};
+
+export const ManyTabs: Story = {
+  render: () => (
+    <div className="p-8">
+      <TabsLine defaultValue="home" className="w-full">
+        <TabsLineList>
+          <TabsLineTrigger value="home">Home</TabsLineTrigger>
+          <TabsLineTrigger value="about">About</TabsLineTrigger>
+          <TabsLineTrigger value="services">Services</TabsLineTrigger>
+          <TabsLineTrigger value="portfolio">Portfolio</TabsLineTrigger>
+          <TabsLineTrigger value="contact">Contact</TabsLineTrigger>
+          <TabsLineTrigger value="blog">Blog</TabsLineTrigger>
+        </TabsLineList>
+        <TabsLineContent value="home">
+          <div className="p-4 text-sm">Welcome to our homepage!</div>
+        </TabsLineContent>
+        <TabsLineContent value="about">
+          <div className="p-4 text-sm">Learn more about our company.</div>
+        </TabsLineContent>
+        <TabsLineContent value="services">
+          <div className="p-4 text-sm">Discover our range of services.</div>
+        </TabsLineContent>
+        <TabsLineContent value="portfolio">
+          <div className="p-4 text-sm">
+            View our previous work and projects.
+          </div>
+        </TabsLineContent>
+        <TabsLineContent value="contact">
+          <div className="p-4 text-sm">Get in touch with us today.</div>
+        </TabsLineContent>
+        <TabsLineContent value="blog">
+          <div className="p-4 text-sm">Read our latest blog posts.</div>
+        </TabsLineContent>
+      </TabsLine>
+    </div>
+  ),
+};
+
+export const WithDisabledTab: Story = {
+  render: () => (
+    <div className="p-8">
+      <TabsLine defaultValue="available" className="w-[400px]">
+        <TabsLineList>
+          <TabsLineTrigger value="available">Available</TabsLineTrigger>
+          <TabsLineTrigger value="disabled" disabled>
+            Disabled
+          </TabsLineTrigger>
+          <TabsLineTrigger value="enabled">Enabled</TabsLineTrigger>
+        </TabsLineList>
+        <TabsLineContent value="available">
+          <div className="p-4 text-sm">
+            This tab is available and can be clicked.
+          </div>
+        </TabsLineContent>
+        <TabsLineContent value="disabled">
+          <div className="p-4 text-sm">
+            This tab is disabled and cannot be accessed.
+          </div>
+        </TabsLineContent>
+        <TabsLineContent value="enabled">
+          <div className="p-4 text-sm">
+            This tab is also enabled and functional.
+          </div>
+        </TabsLineContent>
+      </TabsLine>
+    </div>
+  ),
+};
+
+export const FullWidth: Story = {
+  render: () => (
+    <div className="p-8">
+      <TabsLine defaultValue="tab1" className="w-full">
+        <TabsLineList className="grid w-full grid-cols-3">
+          <TabsLineTrigger value="tab1">Tab One</TabsLineTrigger>
+          <TabsLineTrigger value="tab2">Tab Two</TabsLineTrigger>
+          <TabsLineTrigger value="tab3">Tab Three</TabsLineTrigger>
+        </TabsLineList>
+        <TabsLineContent value="tab1">
+          <div className="p-4 text-sm">
+            Content for the first tab with full width layout.
+          </div>
+        </TabsLineContent>
+        <TabsLineContent value="tab2">
+          <div className="p-4 text-sm">
+            Content for the second tab with full width layout.
+          </div>
+        </TabsLineContent>
+        <TabsLineContent value="tab3">
+          <div className="p-4 text-sm">
+            Content for the third tab with full width layout.
+          </div>
+        </TabsLineContent>
+      </TabsLine>
+    </div>
+  ),
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/TabsLine/TabsLine.tsx b/autogpt_platform/frontend/src/components/molecules/TabsLine/TabsLine.tsx
new file mode 100644
index 000000000000..1d16e1e7712e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/TabsLine/TabsLine.tsx
@@ -0,0 +1,136 @@
+"use client";
+
+import { cn } from "@/lib/utils";
+import * as TabsPrimitive from "@radix-ui/react-tabs";
+import * as React from "react";
+
+interface TabsLineContextValue {
+  activeTabElement: HTMLElement | null;
+  setActiveTabElement: React.Dispatch<React.SetStateAction<HTMLElement | null>>;
+}
+
+const TabsLineContext = React.createContext<TabsLineContextValue | undefined>(
+  undefined,
+);
+
+function useTabsLine() {
+  const context = React.useContext(TabsLineContext);
+  if (!context) {
+    throw new Error("useTabsLine must be used within a TabsLine");
+  }
+  return context;
+}
+
+function TabsLine(
+  props: React.ComponentPropsWithoutRef<typeof TabsPrimitive.Root>,
+) {
+  const [activeTabElement, setActiveTabElement] =
+    React.useState<HTMLElement | null>(null);
+
+  return (
+    <TabsLineContext.Provider value={{ activeTabElement, setActiveTabElement }}>
+      <TabsPrimitive.Root {...props} />
+    </TabsLineContext.Provider>
+  );
+}
+
+const TabsLineList = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.List>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.List>
+>(({ className, ...props }, ref) => {
+  const { activeTabElement } = useTabsLine();
+  const listRef = React.useRef<HTMLDivElement>(null);
+
+  return (
+    <div className="relative">
+      <TabsPrimitive.List
+        ref={(node) => {
+          if (typeof ref === "function") ref(node);
+          else if (ref) ref.current = node;
+          // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+          // @ts-ignore
+          listRef.current = node;
+        }}
+        className={cn(
+          "inline-flex w-full items-center justify-start border-b border-zinc-200",
+          className,
+        )}
+        {...props}
+      />
+      {activeTabElement && (
+        <div
+          className="transition-left transition-right absolute bottom-0 h-0.5 bg-purple-600 duration-200 ease-in-out"
+          style={{
+            left: activeTabElement.offsetLeft,
+            width: activeTabElement.offsetWidth,
+            willChange: "left, width",
+          }}
+        />
+      )}
+    </div>
+  );
+});
+TabsLineList.displayName = "TabsLineList";
+
+const TabsLineTrigger = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.Trigger>
+>(({ className, ...props }, ref) => {
+  const elementRef = React.useRef<HTMLButtonElement>(null);
+  const { setActiveTabElement } = useTabsLine();
+
+  React.useEffect(() => {
+    if (!elementRef.current) return;
+
+    const observer = new MutationObserver(() => {
+      if (!elementRef.current) return;
+      if (elementRef.current.getAttribute("data-state") === "active") {
+        setActiveTabElement(elementRef.current);
+      }
+    });
+
+    observer.observe(elementRef.current, { attributes: true });
+
+    // Initial check
+    if (elementRef.current.getAttribute("data-state") === "active") {
+      setActiveTabElement(elementRef.current);
+    }
+
+    return () => observer.disconnect();
+  }, [setActiveTabElement]);
+
+  return (
+    <TabsPrimitive.Trigger
+      ref={(node) => {
+        if (typeof ref === "function") ref(node);
+        else if (ref) ref.current = node;
+        // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+        // @ts-ignore
+        elementRef.current = node;
+      }}
+      className={cn(
+        "relative inline-flex items-center justify-center whitespace-nowrap px-3 py-2 font-sans text-[1rem] font-medium leading-[1.5rem] text-zinc-700 transition-all focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-neutral-400 focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50 data-[state=active]:text-purple-600",
+        className,
+      )}
+      {...props}
+    />
+  );
+});
+TabsLineTrigger.displayName = "TabsLineTrigger";
+
+const TabsLineContent = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.Content>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.Content
+    ref={ref}
+    className={cn(
+      "mt-4 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-stone-400 focus-visible:ring-offset-2",
+      className,
+    )}
+    {...props}
+  />
+));
+TabsLineContent.displayName = "TabsLineContent";
+
+export { TabsLine, TabsLineContent, TabsLineList, TabsLineTrigger };
diff --git a/autogpt_platform/frontend/src/components/molecules/Toast/styles.module.css b/autogpt_platform/frontend/src/components/molecules/Toast/styles.module.css
new file mode 100644
index 000000000000..d1daaaa88b16
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Toast/styles.module.css
@@ -0,0 +1,39 @@
+/* Custom toast styling. It's here to override the Sonner default styles via CSS specificity */
+html body .toastDefault {
+  padding: 0.8rem 1rem !important;
+}
+
+html body .toastDefault,
+html body .toastInfo {
+  background: #2c2c30 !important;
+  border-color: #2c2c30 !important;
+}
+
+html body .toastSuccess {
+  background: #45b56e !important;
+  border-color: #45b56e !important;
+}
+
+html body .toastWarning {
+  background: #e77b00 !important;
+  border-color: #e77b00 !important;
+}
+
+html body .toastError {
+  background: #f26969 !important;
+  border-color: #f26969 !important;
+}
+
+html body .toastTitle {
+  color: #fefefe !important;
+  font-weight: 500 !important;
+  font-size: 0.875rem !important;
+  line-height: 1.375rem !important;
+  margin-bottom: -0.15rem !important;
+}
+
+html body .toastDescription {
+  color: #f4f4f5 !important;
+  font-size: 0.75rem !important;
+  line-height: 1.25rem !important;
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Toast/toast.stories.tsx b/autogpt_platform/frontend/src/components/molecules/Toast/toast.stories.tsx
new file mode 100644
index 000000000000..fb113e14c905
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Toast/toast.stories.tsx
@@ -0,0 +1,197 @@
+import { Button } from "@/components/atoms/Button/Button";
+import { toast } from "@/components/molecules/Toast/use-toast";
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { Toaster } from "./toaster";
+
+const meta = {
+  title: "Molecules/Toast",
+  component: Toaster,
+  parameters: {
+    layout: "fullscreen",
+  },
+  tags: ["autodocs"],
+} satisfies Meta<typeof Toaster>;
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+// Helper component to demonstrate toast functionality
+function ToastDemo() {
+  function handleDefaultToast() {
+    toast({
+      title: "Default Toast",
+      description: "This is a default toast message.",
+    });
+  }
+
+  function handleSuccessToast() {
+    toast({
+      title: "Success!",
+      description: "Your operation was completed successfully.",
+      variant: "success",
+    });
+  }
+
+  function handleDestructiveToast() {
+    toast({
+      title: "Error!",
+      description: "Something went wrong. Please try again.",
+      variant: "destructive",
+    });
+  }
+
+  function handleInfoToast() {
+    toast({
+      title: "Information",
+      description: "Here's some helpful information for you.",
+      variant: "info",
+    });
+  }
+
+  function handleToastWithAction() {
+    toast({
+      title: "Toast with Action",
+      description: "This toast has a custom action button.",
+      action: (
+        <Button variant="secondary" size="small" className="ml-6">
+          Action
+        </Button>
+      ),
+    });
+  }
+
+  function handlePersistentToast() {
+    toast({
+      title: "Persistent Toast",
+      description: "This toast won't auto-dismiss.",
+      dismissable: false,
+    });
+  }
+
+  function handleLongDurationToast() {
+    toast({
+      title: "Long Duration Toast",
+      description: "This toast stays visible for 10 seconds.",
+      duration: 10000,
+    });
+  }
+
+  return (
+    <div className="flex flex-col gap-4 p-8">
+      <h2 className="text-2xl font-bold">Toast Examples</h2>
+      <div className="flex flex-wrap gap-4">
+        <Button onClick={handleDefaultToast}>Default Toast</Button>
+        <Button onClick={handleSuccessToast}>Success Toast</Button>
+        <Button onClick={handleDestructiveToast}>Error Toast</Button>
+        <Button onClick={handleInfoToast}>Info Toast</Button>
+        <Button onClick={handleToastWithAction}>Toast with Action</Button>
+        <Button onClick={handlePersistentToast}>Persistent Toast</Button>
+        <Button onClick={handleLongDurationToast}>Long Duration Toast</Button>
+      </div>
+      <Toaster />
+    </div>
+  );
+}
+
+export const Default: Story = {
+  render: () => <ToastDemo />,
+};
+
+export const SuccessToast: Story = {
+  render: () => (
+    <div className="p-8">
+      <Button
+        onClick={() =>
+          toast({
+            title: "Success!",
+            description: "Your operation was completed successfully.",
+            variant: "success",
+          })
+        }
+      >
+        Show Success Toast
+      </Button>
+      <Toaster />
+    </div>
+  ),
+};
+
+export const ErrorToast: Story = {
+  render: () => (
+    <div className="p-8">
+      <Button
+        onClick={() =>
+          toast({
+            title: "Error!",
+            description: "Something went wrong. Please try again.",
+            variant: "destructive",
+          })
+        }
+      >
+        Show Error Toast
+      </Button>
+      <Toaster />
+    </div>
+  ),
+};
+
+export const InfoToast: Story = {
+  render: () => (
+    <div className="p-8">
+      <Button
+        onClick={() =>
+          toast({
+            title: "Information",
+            description: "Here's some helpful information for you.",
+            variant: "info",
+          })
+        }
+      >
+        Show Info Toast
+      </Button>
+      <Toaster />
+    </div>
+  ),
+};
+
+export const ToastWithAction: Story = {
+  render: () => (
+    <div className="p-8">
+      <Button
+        onClick={() =>
+          toast({
+            title: "Toast with Action",
+            description: "This toast has a custom action button.",
+            action: (
+              <Button variant="secondary" size="small">
+                Action
+              </Button>
+            ),
+          })
+        }
+      >
+        Show Toast with Action
+      </Button>
+      <Toaster />
+    </div>
+  ),
+};
+
+export const PersistentToast: Story = {
+  render: () => (
+    <div className="p-8">
+      <Button
+        onClick={() =>
+          toast({
+            title: "Persistent Toast",
+            description: "This toast won't auto-dismiss. Click the X to close.",
+            dismissable: false,
+          })
+        }
+      >
+        Show Persistent Toast
+      </Button>
+      <Toaster />
+    </div>
+  ),
+};
diff --git a/autogpt_platform/frontend/src/components/molecules/Toast/toaster.tsx b/autogpt_platform/frontend/src/components/molecules/Toast/toaster.tsx
new file mode 100644
index 000000000000..d99ef37b07b6
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Toast/toaster.tsx
@@ -0,0 +1,31 @@
+"use client";
+
+import { Toaster as SonnerToaster } from "sonner";
+import { CheckCircle, XCircle, Warning, Info } from "@phosphor-icons/react";
+import styles from "./styles.module.css";
+
+export function Toaster() {
+  return (
+    <SonnerToaster
+      position="bottom-center"
+      richColors
+      toastOptions={{
+        classNames: {
+          toast: styles.toastDefault,
+          title: styles.toastTitle,
+          description: styles.toastDescription,
+          error: styles.toastError,
+          success: styles.toastSuccess,
+          warning: styles.toastWarning,
+          info: styles.toastInfo,
+        },
+      }}
+      icons={{
+        success: <CheckCircle className="h-4 w-4" color="#fff" weight="fill" />,
+        error: <XCircle className="h-4 w-4" color="#fff" weight="fill" />,
+        warning: <Warning className="h-4 w-4" color="#fff" weight="fill" />,
+        info: <Info className="h-4 w-4" color="#fff" weight="fill" />,
+      }}
+    />
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/molecules/Toast/use-toast.tsx b/autogpt_platform/frontend/src/components/molecules/Toast/use-toast.tsx
new file mode 100644
index 000000000000..fa18b129dc6f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/molecules/Toast/use-toast.tsx
@@ -0,0 +1,116 @@
+"use client";
+
+import * as React from "react";
+import { toast as sonnerToast } from "sonner";
+
+export interface ToastProps {
+  title?: React.ReactNode;
+  description?: React.ReactNode;
+  variant?: "default" | "destructive" | "success" | "info";
+  duration?: number;
+  action?: React.ReactNode;
+  dismissable?: boolean;
+}
+
+type ToasterToast = ToastProps & {
+  id: string;
+  open?: boolean;
+  onOpenChange?: (open: boolean) => void;
+};
+
+interface State {
+  toasts: ToasterToast[];
+}
+
+type Toast = Omit<ToasterToast, "id">;
+
+function toast({
+  title,
+  description,
+  variant = "default",
+  duration = 5000,
+  action,
+  dismissable = true,
+  ..._props
+}: Toast) {
+  const message = title || description || "";
+  const descriptionText = title && description ? description : undefined;
+
+  const toastOptions = {
+    duration: dismissable ? duration : Infinity,
+    action,
+    description: descriptionText,
+  };
+
+  let toastId: string | number;
+
+  switch (variant) {
+    case "destructive":
+      toastId = sonnerToast.error(message, toastOptions);
+      break;
+    case "success":
+      toastId = sonnerToast.success(message, toastOptions);
+      break;
+    case "info":
+      toastId = sonnerToast.info(message, toastOptions);
+      break;
+    default:
+      toastId = sonnerToast(message, toastOptions);
+  }
+
+  const id = toastId.toString();
+
+  const update = (newProps: ToasterToast) => {
+    sonnerToast.dismiss(toastId);
+    return toast(newProps);
+  };
+
+  const dismiss = () => sonnerToast.dismiss(toastId);
+
+  return {
+    id,
+    dismiss,
+    update,
+  };
+}
+
+function useToast() {
+  const [state] = React.useState<State>({ toasts: [] });
+
+  return {
+    ...state,
+    toast,
+    dismiss: (toastId?: string) => {
+      if (toastId) {
+        sonnerToast.dismiss(toastId);
+      } else {
+        sonnerToast.dismiss();
+      }
+    },
+  };
+}
+
+interface ToastOnFailOptions {
+  rethrow?: boolean;
+}
+
+function useToastOnFail() {
+  return React.useCallback(
+    (action: string, { rethrow = false }: ToastOnFailOptions = {}) =>
+      (error: any) => {
+        const err = error as Error;
+        toast({
+          title: `Unable to ${action}`,
+          description: err.message ?? "Something went wrong",
+          variant: "destructive",
+          duration: 10000,
+        });
+        if (rethrow) {
+          throw error;
+        }
+      },
+    [],
+  );
+}
+
+export { toast, useToast, useToastOnFail };
diff --git a/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx b/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx
index 8a87af4c82fc..8085552cba7c 100644
--- a/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx
@@ -1,8 +1,5 @@
-import BackendAPI, {
-  GraphExecution,
-  GraphMeta,
-} from "@/lib/autogpt-server-api";
-import React, { useMemo } from "react";
+import { GraphExecutionMeta, LibraryAgent } from "@/lib/autogpt-server-api";
+import React from "react";
 import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
 import { Button } from "@/components/ui/button";
 import { TextRenderer } from "@/components/ui/render";
@@ -39,10 +36,10 @@ export const AgentFlowList = ({
   onSelectFlow,
   className,
 }: {
-  flows: GraphMeta[];
-  executions?: GraphExecution[];
-  selectedFlow: GraphMeta | null;
-  onSelectFlow: (f: GraphMeta) => void;
+  flows: LibraryAgent[];
+  executions?: GraphExecutionMeta[];
+  selectedFlow: LibraryAgent | null;
+  onSelectFlow: (f: LibraryAgent) => void;
   className?: string;
 }) => {
   return (
@@ -109,10 +106,10 @@ export const AgentFlowList = ({
             {flows
               .map((flow) => {
                 let runCount = 0,
-                  lastRun: GraphExecution | null = null;
+                  lastRun: GraphExecutionMeta | null = null;
                 if (executions) {
                   const _flowRuns = executions.filter(
-                    (r) => r.graph_id == flow.id,
+                    (r) => r.graph_id == flow.graph_id,
                   );
                   runCount = _flowRuns.length;
                   lastRun =
@@ -128,7 +125,10 @@ export const AgentFlowList = ({
                 if (!a.lastRun && !b.lastRun) return 0;
                 if (!a.lastRun) return 1;
                 if (!b.lastRun) return -1;
-                return b.lastRun.started_at - a.lastRun.started_at;
+                return (
+                  b.lastRun.started_at.getTime() -
+                  a.lastRun.started_at.getTime()
+                );
               })
               .map(({ flow, runCount, lastRun }) => (
                 <TableRow
diff --git a/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx b/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx
index 220a8e59e45d..8dd4b2d14c34 100644
--- a/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx
@@ -1,11 +1,8 @@
-import React, { useEffect, useState, useCallback } from "react";
+import React, { useEffect, useState } from "react";
 import {
-  GraphExecution,
   Graph,
-  GraphMeta,
-  safeCopyGraph,
-  BlockUIType,
-  BlockIORootSchema,
+  GraphExecutionMeta,
+  LibraryAgent,
 } from "@/lib/autogpt-server-api";
 import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
 import {
@@ -18,11 +15,16 @@ import {
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
 import { Button, buttonVariants } from "@/components/ui/button";
-import { ClockIcon, ExitIcon, Pencil2Icon } from "@radix-ui/react-icons";
+import {
+  ClockIcon,
+  ExitIcon,
+  Pencil2Icon,
+  PlayIcon,
+  TrashIcon,
+} from "@radix-ui/react-icons";
 import Link from "next/link";
-import { exportAsJSONFile, filterBlocksByType } from "@/lib/utils";
+import { exportAsJSONFile } from "@/lib/utils";
 import { FlowRunsStats } from "@/components/monitor/index";
-import { Trash2Icon } from "lucide-react";
 import {
   Dialog,
   DialogContent,
@@ -31,44 +33,26 @@ import {
   DialogDescription,
   DialogFooter,
 } from "@/components/ui/dialog";
-import { useToast } from "@/components/ui/use-toast";
-import { CronScheduler } from "@/components/cronScheduler";
-import RunnerInputUI from "@/components/runner-ui/RunnerInputUI";
 import useAgentGraph from "@/hooks/useAgentGraph";
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { RunnerInputDialog } from "@/components/runner-ui/RunnerInputUI";
 
 export const FlowInfo: React.FC<
   React.HTMLAttributes<HTMLDivElement> & {
-    flow: GraphMeta;
-    executions: GraphExecution[];
+    flow: LibraryAgent;
+    executions: GraphExecutionMeta[];
     flowVersion?: number | "all";
     refresh: () => void;
   }
 > = ({ flow, executions, flowVersion, refresh, ...props }) => {
-  const {
-    agentName,
-    setAgentName,
-    agentDescription,
-    setAgentDescription,
-    savedAgent,
-    availableNodes,
-    availableFlows,
-    getOutputType,
-    requestSave,
-    requestSaveAndRun,
-    requestStopRun,
-    scheduleRunner,
-    isRunning,
-    isScheduling,
-    setIsScheduling,
-    nodes,
-    setNodes,
-    edges,
-    setEdges,
-  } = useAgentGraph(flow.id, false);
+  const { savedAgent, saveAndRun, stopRun, isRunning } = useAgentGraph(
+    flow.graph_id,
+    flow.graph_version,
+    undefined,
+    false,
+  );
 
   const api = useBackendAPI();
-  const { toast } = useToast();
 
   const [flowVersions, setFlowVersions] = useState<Graph[] | null>(null);
   const [selectedVersion, setSelectedFlowVersion] = useState(
@@ -76,115 +60,41 @@ export const FlowInfo: React.FC<
   );
   const selectedFlowVersion: Graph | undefined = flowVersions?.find(
     (v) =>
-      v.version == (selectedVersion == "all" ? flow.version : selectedVersion),
+      v.version ==
+      (selectedVersion == "all" ? flow.graph_version : selectedVersion),
   );
 
+  const hasInputs = Object.keys(flow.input_schema.properties).length > 0;
+  const hasCredentialsInputs =
+    Object.keys(flow.credentials_input_schema.properties).length > 0;
+
   const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);
-  const [openCron, setOpenCron] = useState(false);
-  const [isRunnerInputOpen, setIsRunnerInputOpen] = useState(false);
+  const [isRunDialogOpen, setIsRunDialogOpen] = useState(false);
   const isDisabled = !selectedFlowVersion;
 
-  const getBlockInputsAndOutputs = useCallback(() => {
-    const inputBlocks = filterBlocksByType(
-      nodes,
-      (node) => node.data.uiType === BlockUIType.INPUT,
-    );
-
-    const outputBlocks = filterBlocksByType(
-      nodes,
-      (node) => node.data.uiType === BlockUIType.OUTPUT,
-    );
-
-    const inputs = inputBlocks.map((node) => ({
-      id: node.id,
-      type: "input" as const,
-      inputSchema: node.data.inputSchema as BlockIORootSchema,
-      hardcodedValues: {
-        name: (node.data.hardcodedValues as any).name || "",
-        description: (node.data.hardcodedValues as any).description || "",
-        value: (node.data.hardcodedValues as any).value,
-        placeholder_values:
-          (node.data.hardcodedValues as any).placeholder_values || [],
-        limit_to_placeholder_values:
-          (node.data.hardcodedValues as any).limit_to_placeholder_values ||
-          false,
-      },
-    }));
-
-    const outputs = outputBlocks.map((node) => ({
-      id: node.id,
-      type: "output" as const,
-      hardcodedValues: {
-        name: (node.data.hardcodedValues as any).name || "Output",
-        description:
-          (node.data.hardcodedValues as any).description ||
-          "Output from the agent",
-        value: (node.data.hardcodedValues as any).value,
-      },
-      result: (node.data.executionResults as any)?.at(-1)?.data?.output,
-    }));
-
-    return { inputs, outputs };
-  }, [nodes]);
-
-  const handleScheduleButton = () => {
-    if (!selectedFlowVersion) {
-      toast({
-        title: "Please select a flow version before scheduling",
-        duration: 2000,
-      });
-      return;
-    }
-    setOpenCron(true);
-  };
-
   useEffect(() => {
-    api.getGraphAllVersions(flow.id).then((result) => setFlowVersions(result));
-  }, [flow.id, api]);
+    api
+      .getGraphAllVersions(flow.graph_id)
+      .then((result) => setFlowVersions(result));
+  }, [flow.graph_id, api]);
 
-  const openRunnerInput = () => setIsRunnerInputOpen(true);
+  const openRunDialog = () => setIsRunDialogOpen(true);
 
   const runOrOpenInput = () => {
-    const { inputs } = getBlockInputsAndOutputs();
-    if (inputs.length > 0) {
-      openRunnerInput();
+    if (hasInputs || hasCredentialsInputs) {
+      openRunDialog();
     } else {
-      requestSaveAndRun();
+      saveAndRun({}, {});
     }
   };
 
-  const handleInputChange = useCallback(
-    (nodeId: string, field: string, value: string) => {
-      setNodes((nds) =>
-        nds.map((node) => {
-          if (node.id === nodeId) {
-            return {
-              ...node,
-              data: {
-                ...node.data,
-                hardcodedValues: {
-                  ...(node.data.hardcodedValues as any),
-                  [field]: value,
-                },
-              },
-            };
-          }
-          return node;
-        }),
-      );
-    },
-    [setNodes],
-  );
-
   return (
     <Card {...props}>
-      <CardHeader className="flex-row justify-between space-x-3 space-y-0">
-        <div>
-          <CardTitle>
-            {flow.name} <span className="font-light">v{flow.version}</span>
-          </CardTitle>
-        </div>
-        <div className="flex items-start space-x-2">
+      <CardHeader className="">
+        <CardTitle>
+          {flow.name} <span className="font-light">v{flow.graph_version}</span>
+        </CardTitle>
+        <div className="flex flex-col space-y-2 py-6">
           {(flowVersions?.length ?? 0) > 1 && (
             <DropdownMenu>
               <DropdownMenuTrigger asChild>
@@ -200,7 +110,7 @@ export const FlowInfo: React.FC<
                 <DropdownMenuSeparator />
                 <DropdownMenuRadioGroup
                   value={String(selectedVersion)}
-                  onValueChange={(choice) =>
+                  onValueChange={(choice: string) =>
                     setSelectedFlowVersion(
                       choice == "all" ? choice : Number(choice),
                     )
@@ -222,56 +132,63 @@ export const FlowInfo: React.FC<
               </DropdownMenuContent>
             </DropdownMenu>
           )}
-          <Link
-            className={buttonVariants({ variant: "default" })}
-            href={`/build?flowID=${flow.id}`}
-          >
-            <Pencil2Icon className="mr-2" />
-            Open in Builder
-          </Link>
-          <Button
-            variant="outline"
-            className="px-2.5"
-            title="Export to a JSON-file"
-            data-testid="export-button"
-            onClick={async () =>
-              exportAsJSONFile(
-                safeCopyGraph(
-                  flowVersions!.find(
-                    (v) => v.version == selectedFlowVersion!.version,
-                  )!,
-                  await api.getBlocks(),
-                ),
-                `${flow.name}_v${selectedFlowVersion!.version}.json`,
-              )
-            }
-          >
-            <ExitIcon className="mr-2" /> Export
-          </Button>
+          {flow.can_access_graph && (
+            <Link
+              className={buttonVariants({ variant: "default" })}
+              href={`/build?flowID=${flow.graph_id}&flowVersion=${flow.graph_version}`}
+            >
+              <Pencil2Icon className="mr-2" />
+              Open in Builder
+            </Link>
+          )}
+          {flow.can_access_graph && (
+            <Button
+              variant="outline"
+              className="px-2.5"
+              title="Export to a JSON-file"
+              data-testid="export-button"
+              onClick={() =>
+                api
+                  .getGraph(flow.graph_id, selectedFlowVersion!.version, true)
+                  .then((graph) =>
+                    exportAsJSONFile(
+                      graph,
+                      `${flow.name}_v${selectedFlowVersion!.version}.json`,
+                    ),
+                  )
+              }
+            >
+              <ExitIcon className="mr-2" /> Export
+            </Button>
+          )}
           <Button
             variant="secondary"
             className="bg-purple-500 text-white hover:bg-purple-700"
-            onClick={isRunning ? requestStopRun : runOrOpenInput}
+            onClick={!isRunning ? runOrOpenInput : stopRun}
             disabled={isDisabled}
             title={!isRunning ? "Run Agent" : "Stop Agent"}
           >
+            <PlayIcon className="mr-2" />
             {isRunning ? "Stop Agent" : "Run Agent"}
           </Button>
-          <Button
-            variant="outline"
-            onClick={() => setIsDeleteModalOpen(true)}
-            data-testid="delete-button"
-          >
-            <Trash2Icon className="h-full" />
-          </Button>
+          {flow.can_access_graph && (
+            <Button
+              variant="destructive"
+              onClick={() => setIsDeleteModalOpen(true)}
+              data-testid="delete-button"
+            >
+              <TrashIcon className="mr-2" />
+              Delete Agent
+            </Button>
+          )}
         </div>
       </CardHeader>
       <CardContent>
         <FlowRunsStats
-          flows={[selectedFlowVersion ?? flow]}
+          flows={[flow]}
           executions={executions.filter(
             (execution) =>
-              execution.graph_id == flow.id &&
+              execution.graph_id == flow.graph_id &&
               (selectedVersion == "all" ||
                 execution.graph_version == selectedVersion),
           )}
@@ -296,7 +213,7 @@ export const FlowInfo: React.FC<
             <Button
               variant="destructive"
               onClick={() => {
-                api.deleteGraph(flow.id).then(() => {
+                api.deleteLibraryAgent(flow.id).then(() => {
                   setIsDeleteModalOpen(false);
                   refresh();
                 });
@@ -307,20 +224,14 @@ export const FlowInfo: React.FC<
           </DialogFooter>
         </DialogContent>
       </Dialog>
-      <RunnerInputUI
-        isOpen={isRunnerInputOpen}
-        onClose={() => setIsRunnerInputOpen(false)}
-        blockInputs={getBlockInputsAndOutputs().inputs}
-        onInputChange={handleInputChange}
-        onRun={() => {
-          setIsRunnerInputOpen(false);
-          requestSaveAndRun();
-        }}
-        isRunning={isRunning}
-        scheduledInput={false}
-        isScheduling={false}
-        onSchedule={async () => {}} // Fixed type error by making async
-      />
+      {savedAgent && (
+        <RunnerInputDialog
+          isOpen={isRunDialogOpen}
+          doClose={() => setIsRunDialogOpen(false)}
+          graph={savedAgent}
+          doRun={saveAndRun}
+        />
+      )}
     </Card>
   );
 };
diff --git a/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx b/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx
index 2d6dd41a97ed..3070c2b4c54c 100644
--- a/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx
@@ -1,10 +1,5 @@
 import React, { useCallback, useEffect, useState } from "react";
-import {
-  GraphExecution,
-  GraphMeta,
-  NodeExecutionResult,
-  SpecialBlockID,
-} from "@/lib/autogpt-server-api";
+import { GraphExecutionMeta, LibraryAgent } from "@/lib/autogpt-server-api";
 import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
 import Link from "next/link";
 import { Button, buttonVariants } from "@/components/ui/button";
@@ -12,65 +7,44 @@ import { IconSquare } from "@/components/ui/icons";
 import { ExitIcon, Pencil2Icon } from "@radix-ui/react-icons";
 import moment from "moment/moment";
 import { FlowRunStatusBadge } from "@/components/monitor/FlowRunStatusBadge";
-import RunnerOutputUI, { BlockOutput } from "../runner-ui/RunnerOutputUI";
+import RunnerOutputUI, { OutputNodeInfo } from "../runner-ui/RunnerOutputUI";
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
 
 export const FlowRunInfo: React.FC<
   React.HTMLAttributes<HTMLDivElement> & {
-    flow: GraphMeta;
-    execution: GraphExecution;
+    agent: LibraryAgent;
+    execution: GraphExecutionMeta;
   }
-> = ({ flow, execution, ...props }) => {
+> = ({ agent, execution, ...props }) => {
   const [isOutputOpen, setIsOutputOpen] = useState(false);
-  const [blockOutputs, setBlockOutputs] = useState<BlockOutput[]>([]);
+  const [blockOutputs, setBlockOutputs] = useState<OutputNodeInfo[]>([]);
   const api = useBackendAPI();
 
   const fetchBlockResults = useCallback(async () => {
-    const executionResults = await api.getGraphExecutionInfo(
-      flow.id,
-      execution.execution_id,
+    const graph = await api.getGraph(agent.graph_id, agent.graph_version);
+    const graphExecution = await api.getGraphExecutionInfo(
+      agent.graph_id,
+      execution.id,
     );
 
-    // Create a map of the latest COMPLETED execution results of output nodes by node_id
-    const latestCompletedResults = executionResults
-      .filter(
-        (result) =>
-          result.status === "COMPLETED" &&
-          result.block_id === SpecialBlockID.OUTPUT,
-      )
-      .reduce((acc, result) => {
-        const existing = acc.get(result.node_id);
-
-        // Compare dates if there's an existing result
-        if (existing) {
-          const existingDate = existing.end_time || existing.add_time;
-          const currentDate = result.end_time || result.add_time;
-
-          if (currentDate > existingDate) {
-            acc.set(result.node_id, result);
-          }
-        } else {
-          acc.set(result.node_id, result);
-        }
-
-        return acc;
-      }, new Map<string, NodeExecutionResult>());
-
     // Transform results to BlockOutput format
     setBlockOutputs(
-      Array.from(latestCompletedResults.values()).map((result) => ({
-        id: result.node_id,
-        type: "output" as const,
-        hardcodedValues: {
-          name: result.input_data.name || "Output",
-          description: result.input_data.description || "Output from the agent",
-          value: result.input_data.value,
-        },
-        // Change this line to extract the array directly
-        result: result.output_data?.output || undefined,
-      })),
+      Object.entries(graphExecution.outputs).flatMap(([key, values]) =>
+        values.map(
+          (value) =>
+            ({
+              metadata: {
+                name: graph.output_schema.properties[key].title || "Output",
+                description:
+                  graph.output_schema.properties[key].description ||
+                  "Output from the agent",
+              },
+              result: value,
+            }) satisfies OutputNodeInfo,
+        ),
+      ),
     );
-  }, [api, flow.id, execution.execution_id]);
+  }, [api, agent.graph_id, agent.graph_version, execution.id]);
 
   // Fetch graph and execution data
   useEffect(() => {
@@ -78,15 +52,15 @@ export const FlowRunInfo: React.FC<
     fetchBlockResults();
   }, [isOutputOpen, fetchBlockResults]);
 
-  if (execution.graph_id != flow.id) {
+  if (execution.graph_id != agent.graph_id) {
     throw new Error(
       `FlowRunInfo can't be used with non-matching execution.graph_id and flow.id`,
     );
   }
 
   const handleStopRun = useCallback(() => {
-    api.stopGraphExecution(flow.id, execution.execution_id);
-  }, [api, flow.id, execution.execution_id]);
+    api.stopGraphExecution(agent.graph_id, execution.id);
+  }, [api, agent.graph_id, execution.id]);
 
   return (
     <>
@@ -94,7 +68,7 @@ export const FlowRunInfo: React.FC<
         <CardHeader className="flex-row items-center justify-between space-x-3 space-y-0">
           <div>
             <CardTitle>
-              {flow.name}{" "}
+              {agent.name}{" "}
               <span className="font-light">v{execution.graph_version}</span>
             </CardTitle>
           </div>
@@ -107,20 +81,22 @@ export const FlowRunInfo: React.FC<
             <Button onClick={() => setIsOutputOpen(true)} variant="outline">
               <ExitIcon className="mr-2" /> View Outputs
             </Button>
-            <Link
-              className={buttonVariants({ variant: "default" })}
-              href={`/build?flowID=${flow.id}`}
-            >
-              <Pencil2Icon className="mr-2" /> Open in Builder
-            </Link>
+            {agent.can_access_graph && (
+              <Link
+                className={buttonVariants({ variant: "default" })}
+                href={`/build?flowID=${execution.graph_id}&flowVersion=${execution.graph_version}&flowExecutionID=${execution.id}`}
+              >
+                <Pencil2Icon className="mr-2" /> Open in Builder
+              </Link>
+            )}
           </div>
         </CardHeader>
         <CardContent>
           <p className="hidden">
-            <strong>Agent ID:</strong> <code>{flow.id}</code>
+            <strong>Agent ID:</strong> <code>{agent.graph_id}</code>
           </p>
           <p className="hidden">
-            <strong>Run ID:</strong> <code>{execution.execution_id}</code>
+            <strong>Run ID:</strong> <code>{execution.id}</code>
           </p>
           <div>
             <strong>Status:</strong>{" "}
@@ -134,17 +110,19 @@ export const FlowRunInfo: React.FC<
             <strong>Finished:</strong>{" "}
             {moment(execution.ended_at).format("YYYY-MM-DD HH:mm:ss")}
           </p>
-          <p>
-            <strong>Duration (run time):</strong>{" "}
-            {execution.duration.toFixed(1)} (
-            {execution.total_run_time.toFixed(1)}) seconds
-          </p>
+          {execution.stats && (
+            <p>
+              <strong>Duration (run time):</strong>{" "}
+              {execution.stats.duration.toFixed(1)} (
+              {execution.stats.node_exec_time.toFixed(1)}) seconds
+            </p>
+          )}
         </CardContent>
       </Card>
       <RunnerOutputUI
         isOpen={isOutputOpen}
-        onClose={() => setIsOutputOpen(false)}
-        blockOutputs={blockOutputs}
+        doClose={() => setIsOutputOpen(false)}
+        outputs={blockOutputs}
       />
     </>
   );
diff --git a/autogpt_platform/frontend/src/components/monitor/FlowRunStatusBadge.tsx b/autogpt_platform/frontend/src/components/monitor/FlowRunStatusBadge.tsx
index 47381b0b830f..d74b7cedf1cf 100644
--- a/autogpt_platform/frontend/src/components/monitor/FlowRunStatusBadge.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/FlowRunStatusBadge.tsx
@@ -1,10 +1,10 @@
 import React from "react";
 import { Badge } from "@/components/ui/badge";
 import { cn } from "@/lib/utils";
-import { GraphExecution } from "@/lib/autogpt-server-api";
+import { GraphExecutionMeta } from "@/lib/autogpt-server-api";
 
 export const FlowRunStatusBadge: React.FC<{
-  status: GraphExecution["status"];
+  status: GraphExecutionMeta["status"];
   className?: string;
 }> = ({ status, className }) => (
   <Badge
diff --git a/autogpt_platform/frontend/src/components/monitor/FlowRunsList.tsx b/autogpt_platform/frontend/src/components/monitor/FlowRunsList.tsx
index b0b92d48e2e2..a0919d7500ee 100644
--- a/autogpt_platform/frontend/src/components/monitor/FlowRunsList.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/FlowRunsList.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { GraphExecution, GraphMeta } from "@/lib/autogpt-server-api";
+import { GraphExecutionMeta, LibraryAgent } from "@/lib/autogpt-server-api";
 import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
 import {
   Table,
@@ -14,11 +14,11 @@ import { FlowRunStatusBadge } from "@/components/monitor/FlowRunStatusBadge";
 import { TextRenderer } from "../ui/render";
 
 export const FlowRunsList: React.FC<{
-  flows: GraphMeta[];
-  executions: GraphExecution[];
+  flows: LibraryAgent[];
+  executions: GraphExecutionMeta[];
   className?: string;
-  selectedRun?: GraphExecution | null;
-  onSelectRun: (r: GraphExecution) => void;
+  selectedRun?: GraphExecutionMeta | null;
+  onSelectRun: (r: GraphExecutionMeta) => void;
 }> = ({ flows, executions, selectedRun, onSelectRun, className }) => (
   <Card className={className}>
     <CardHeader>
@@ -37,21 +37,19 @@ export const FlowRunsList: React.FC<{
         <TableBody data-testid="flow-runs-list-body">
           {executions.map((execution) => (
             <TableRow
-              key={execution.execution_id}
-              data-testid={`flow-run-${execution.execution_id}-graph-${execution.graph_id}`}
-              data-runid={execution.execution_id}
+              key={execution.id}
+              data-testid={`flow-run-${execution.id}-graph-${execution.graph_id}`}
+              data-runid={execution.id}
               data-graphid={execution.graph_id}
               className="cursor-pointer"
               onClick={() => onSelectRun(execution)}
-              data-state={
-                selectedRun?.execution_id == execution.execution_id
-                  ? "selected"
-                  : null
-              }
+              data-state={selectedRun?.id == execution.id ? "selected" : null}
             >
               <TableCell>
                 <TextRenderer
-                  value={flows.find((f) => f.id == execution.graph_id)?.name}
+                  value={
+                    flows.find((f) => f.graph_id == execution.graph_id)?.name
+                  }
                   truncateLengthLimit={30}
                 />
               </TableCell>
@@ -59,9 +57,16 @@ export const FlowRunsList: React.FC<{
                 {moment(execution.started_at).format("HH:mm")}
               </TableCell>
               <TableCell>
-                <FlowRunStatusBadge status={execution.status} />
+                <FlowRunStatusBadge
+                  status={execution.status}
+                  className="w-full justify-center"
+                />
+              </TableCell>
+              <TableCell>
+                {execution.stats
+                  ? formatDuration(execution.stats.duration)
+                  : ""}
               </TableCell>
-              <TableCell>{formatDuration(execution.duration)}</TableCell>
             </TableRow>
           ))}
         </TableBody>
diff --git a/autogpt_platform/frontend/src/components/monitor/FlowRunsStatus.tsx b/autogpt_platform/frontend/src/components/monitor/FlowRunsStatus.tsx
index 5c638dead476..67134389fc24 100644
--- a/autogpt_platform/frontend/src/components/monitor/FlowRunsStatus.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/FlowRunsStatus.tsx
@@ -1,5 +1,5 @@
 import React, { useState } from "react";
-import { GraphExecution, GraphMeta } from "@/lib/autogpt-server-api";
+import { GraphExecutionMeta, LibraryAgent } from "@/lib/autogpt-server-api";
 import { CardTitle } from "@/components/ui/card";
 import { Button } from "@/components/ui/button";
 import {
@@ -11,8 +11,8 @@ import { Calendar } from "@/components/ui/calendar";
 import { FlowRunsTimeline } from "@/components/monitor/FlowRunsTimeline";
 
 export const FlowRunsStatus: React.FC<{
-  flows: GraphMeta[];
-  executions: GraphExecution[];
+  flows: LibraryAgent[];
+  executions: GraphExecutionMeta[];
   title?: string;
   className?: string;
 }> = ({ flows, executions: executions, title, className }) => {
@@ -29,14 +29,14 @@ export const FlowRunsStatus: React.FC<{
         : statsSince;
   const filteredFlowRuns =
     statsSinceTimestamp != null
-      ? executions.filter((fr) => fr.started_at > statsSinceTimestamp)
+      ? executions.filter((fr) => fr.started_at.getTime() > statsSinceTimestamp)
       : executions;
 
   return (
     <div className={className}>
       <div className="flex flex-row items-center justify-between">
         <CardTitle>{title || "Stats"}</CardTitle>
-        <div className="flex space-x-2">
+        <div className="flex flex-wrap space-x-2">
           <Button
             variant="outline"
             size="sm"
@@ -105,12 +105,21 @@ export const FlowRunsStatus: React.FC<{
         <p>
           <strong>Total run time:</strong>{" "}
           {filteredFlowRuns.reduce(
-            (total, run) => total + run.total_run_time,
+            (total, run) => total + (run.stats?.node_exec_time ?? 0),
             0,
           )}{" "}
           seconds
         </p>
-        {/* <p><strong>Total cost:</strong> €1,23</p> */}
+        {filteredFlowRuns.some((r) => r.stats) && (
+          <p>
+            <strong>Total cost:</strong>{" "}
+            {filteredFlowRuns.reduce(
+              (total, run) => total + (run.stats?.cost ?? 0),
+              0,
+            )}{" "}
+            seconds
+          </p>
+        )}
       </div>
     </div>
   );
diff --git a/autogpt_platform/frontend/src/components/monitor/FlowRunsTimeline.tsx b/autogpt_platform/frontend/src/components/monitor/FlowRunsTimeline.tsx
index 8f70af3b24a8..92310031aad5 100644
--- a/autogpt_platform/frontend/src/components/monitor/FlowRunsTimeline.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/FlowRunsTimeline.tsx
@@ -1,4 +1,4 @@
-import { GraphExecution, GraphMeta } from "@/lib/autogpt-server-api";
+import { GraphExecutionMeta, LibraryAgent } from "@/lib/autogpt-server-api";
 import {
   ComposedChart,
   DefaultLegendContentProps,
@@ -22,8 +22,8 @@ export const FlowRunsTimeline = ({
   dataMin,
   className,
 }: {
-  flows: GraphMeta[];
-  executions: GraphExecution[];
+  flows: LibraryAgent[];
+  executions: GraphExecutionMeta[];
   dataMin: "dataMin" | number;
   className?: string;
 }) => (
@@ -58,11 +58,13 @@ export const FlowRunsTimeline = ({
         tickFormatter={(s) => (s > 90 ? `${Math.round(s / 60)}m` : `${s}s`)}
       />
       <Tooltip
-        content={({ payload, label }) => {
+        content={({ payload }) => {
           if (payload && payload.length) {
-            const data: GraphExecution & { time: number; _duration: number } =
-              payload[0].payload;
-            const flow = flows.find((f) => f.id === data.graph_id);
+            const data: GraphExecutionMeta & {
+              time: number;
+              _duration: number;
+            } = payload[0].payload;
+            const flow = flows.find((f) => f.graph_id === data.graph_id);
             return (
               <Card className="p-2 text-xs leading-normal">
                 <p>
@@ -79,11 +81,13 @@ export const FlowRunsTimeline = ({
                   <strong>Started:</strong>{" "}
                   {moment(data.started_at).format("YYYY-MM-DD HH:mm:ss")}
                 </p>
-                <p>
-                  <strong>Duration / run time:</strong>{" "}
-                  {formatDuration(data.duration)} /{" "}
-                  {formatDuration(data.total_run_time)}
-                </p>
+                {data.stats && (
+                  <p>
+                    <strong>Duration / run time:</strong>{" "}
+                    {formatDuration(data.stats.duration)} /{" "}
+                    {formatDuration(data.stats.node_exec_time)}
+                  </p>
+                )}
               </Card>
             );
           }
@@ -94,11 +98,12 @@ export const FlowRunsTimeline = ({
         <Scatter
           key={flow.id}
           data={executions
-            .filter((e) => e.graph_id == flow.id)
+            .filter((e) => e.graph_id == flow.graph_id)
             .map((e) => ({
               ...e,
-              time: e.started_at + e.total_run_time * 1000,
-              _duration: e.total_run_time,
+              time:
+                e.started_at.getTime() + (e.stats?.node_exec_time ?? 0) * 1000,
+              _duration: e.stats?.node_exec_time ?? 0,
             }))}
           name={flow.name}
           fill={`hsl(${(hashString(flow.id) * 137.5) % 360}, 70%, 50%)`}
@@ -106,15 +111,19 @@ export const FlowRunsTimeline = ({
       ))}
       {executions.map((execution) => (
         <Line
-          key={execution.execution_id}
+          key={execution.id}
           type="linear"
           dataKey="_duration"
           data={[
-            { ...execution, time: execution.started_at, _duration: 0 },
             {
               ...execution,
-              time: execution.ended_at,
-              _duration: execution.total_run_time,
+              time: execution.started_at.getTime(),
+              _duration: 0,
+            },
+            {
+              ...execution,
+              time: execution.ended_at.getTime(),
+              _duration: execution.stats?.node_exec_time ?? 0,
             },
           ]}
           stroke={`hsl(${(hashString(execution.graph_id) * 137.5) % 360}, 70%, 50%)`}
diff --git a/autogpt_platform/frontend/src/components/monitor/scheduleTable.tsx b/autogpt_platform/frontend/src/components/monitor/scheduleTable.tsx
index 85cffba4e61f..b4c3a4cce7a7 100644
--- a/autogpt_platform/frontend/src/components/monitor/scheduleTable.tsx
+++ b/autogpt_platform/frontend/src/components/monitor/scheduleTable.tsx
@@ -1,4 +1,4 @@
-import { Schedule } from "@/lib/autogpt-server-api";
+import { LibraryAgent, Schedule, ScheduleID } from "@/lib/autogpt-server-api";
 import { Button } from "@/components/ui/button";
 import { Card } from "@/components/ui/card";
 import {
@@ -12,8 +12,13 @@ import {
 import { Badge } from "@/components/ui/badge";
 import { ScrollArea } from "@/components/ui/scroll-area";
 import { ClockIcon, Loader2 } from "lucide-react";
-import { useToast } from "@/components/ui/use-toast";
-import { CronExpressionManager } from "@/lib/monitor/cronExpressionManager";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { humanizeCronExpression } from "@/lib/cron-expression-utils";
+import {
+  formatScheduleTime,
+  getTimezoneAbbreviation,
+} from "@/lib/timezone-utils";
+import { useGetV1GetUserTimezone } from "@/app/api/__generated__/endpoints/auth/auth";
 import {
   Select,
   SelectContent,
@@ -21,7 +26,6 @@ import {
   SelectTrigger,
   SelectValue,
 } from "@/components/ui/select";
-import { GraphMeta } from "@/lib/autogpt-server-api";
 import { useRouter } from "next/navigation";
 import { useState } from "react";
 import {
@@ -31,11 +35,13 @@ import {
   DialogTitle,
 } from "@/components/ui/dialog";
 import { TextRenderer } from "../ui/render";
+import { Input } from "../ui/input";
+import { Label } from "../ui/label";
 
 interface SchedulesTableProps {
   schedules: Schedule[];
-  agents: GraphMeta[];
-  onRemoveSchedule: (scheduleId: string, enabled: boolean) => void;
+  agents: LibraryAgent[];
+  onRemoveSchedule: (scheduleId: ScheduleID, enabled: boolean) => void;
   sortColumn: keyof Schedule;
   sortDirection: "asc" | "desc";
   onSort: (column: keyof Schedule) => void;
@@ -51,11 +57,16 @@ export const SchedulesTable = ({
 }: SchedulesTableProps) => {
   const { toast } = useToast();
   const router = useRouter();
-  const cron_manager = new CronExpressionManager();
-  const [selectedAgent, setSelectedAgent] = useState<string>("");
+  const [selectedAgent, setSelectedAgent] = useState<string>(""); // Library Agent ID
+  const [selectedVersion, setSelectedVersion] = useState<number>(0); // Graph version
+  const [maxVersion, setMaxVersion] = useState<number>(0);
   const [isDialogOpen, setIsDialogOpen] = useState(false);
   const [isLoading, setIsLoading] = useState(false);
-  const [selectedFilter, setSelectedFilter] = useState<string>("");
+  const [selectedFilter, setSelectedFilter] = useState<string>(""); // Graph ID
+
+  // Get user's timezone for displaying schedule times
+  const { data: timezoneData } = useGetV1GetUserTimezone();
+  const userTimezone = timezoneData?.data?.timezone || "UTC";
 
   const filteredAndSortedSchedules = [...schedules]
     .filter(
@@ -70,7 +81,7 @@ export const SchedulesTable = ({
       return String(bValue).localeCompare(String(aValue));
     });
 
-  const handleToggleSchedule = (scheduleId: string, enabled: boolean) => {
+  const handleToggleSchedule = (scheduleId: ScheduleID, enabled: boolean) => {
     onRemoveSchedule(scheduleId, enabled);
     if (!enabled) {
       toast({
@@ -86,13 +97,39 @@ export const SchedulesTable = ({
 
   const handleAgentSelect = (agentId: string) => {
     setSelectedAgent(agentId);
+    const agent = agents.find((a) => a.id === agentId);
+    setMaxVersion(agent!.graph_version);
+    setSelectedVersion(agent!.graph_version);
+  };
+
+  const handleVersionSelect = (version: string) => {
+    setSelectedVersion(parseInt(version));
   };
 
   const handleSchedule = async () => {
+    if (!selectedAgent || !selectedVersion) {
+      toast({
+        title: "Invalid Input",
+        description: "Please select an agent and a version.",
+        variant: "destructive",
+      });
+      return;
+    }
+    if (selectedVersion < 1 || selectedVersion > maxVersion) {
+      toast({
+        title: "Invalid Version",
+        description: `Please select a version between 1 and ${maxVersion}.`,
+        variant: "destructive",
+      });
+      return;
+    }
     setIsLoading(true);
+    const agent = agents.find((a) => a.id == selectedAgent)!;
     try {
       await new Promise((resolve) => setTimeout(resolve, 100));
-      router.push(`/build?flowID=${selectedAgent}&open_scheduling=true`);
+      router.push(
+        `/build?flowID=${agent.graph_id}&flowVersion=${agent.graph_version}&open_scheduling=true`,
+      );
     } catch (error) {
       console.error("Navigation error:", error);
     }
@@ -117,6 +154,18 @@ export const SchedulesTable = ({
               ))}
             </SelectContent>
           </Select>
+          <Label className="mt-4">
+            Select version between 1 and {maxVersion}
+          </Label>
+          <Input
+            type="number"
+            min={1}
+            max={selectedAgent ? maxVersion : 0}
+            value={selectedVersion}
+            onChange={(e) => handleVersionSelect(e.target.value)}
+            placeholder="Select version"
+            className="w-full"
+          />
           <Button
             onClick={handleSchedule}
             disabled={isLoading || !selectedAgent}
@@ -136,14 +185,14 @@ export const SchedulesTable = ({
 
       <div className="mb-4 flex items-center justify-between">
         <h3 className="text-lg font-semibold">Schedules</h3>
-        <div className="flex gap-2">
+        <div className="flex flex-wrap gap-2">
           <Select onValueChange={setSelectedFilter}>
             <SelectTrigger className="h-8 w-[180px] rounded-md px-3 text-xs">
               <SelectValue placeholder="Filter by graph" />
             </SelectTrigger>
             <SelectContent className="text-xs">
               {agents.map((agent) => (
-                <SelectItem key={agent.id} value={agent.id}>
+                <SelectItem key={agent.id} value={agent.graph_id}>
                   {agent.name}
                 </SelectItem>
               ))}
@@ -165,6 +214,7 @@ export const SchedulesTable = ({
               >
                 Graph Name
               </TableHead>
+              <TableHead className="cursor-pointer">Graph Version</TableHead>
               <TableHead
                 onClick={() => onSort("next_run_time")}
                 className="cursor-pointer"
@@ -177,7 +227,7 @@ export const SchedulesTable = ({
               >
                 Schedule
               </TableHead>
-
+              <TableHead>Timezone</TableHead>
               <TableHead>Actions</TableHead>
             </TableRow>
           </TableHeader>
@@ -185,7 +235,7 @@ export const SchedulesTable = ({
             {filteredAndSortedSchedules.length === 0 ? (
               <TableRow>
                 <TableCell
-                  colSpan={4}
+                  colSpan={6}
                   className="py-8 text-center text-lg text-gray-400"
                 >
                   No schedules are available
@@ -195,18 +245,23 @@ export const SchedulesTable = ({
               filteredAndSortedSchedules.map((schedule) => (
                 <TableRow key={schedule.id}>
                   <TableCell className="font-medium">
-                    {agents.find((a) => a.id === schedule.graph_id)?.name ||
-                      schedule.graph_id}
+                    {agents.find((a) => a.graph_id === schedule.graph_id)
+                      ?.name || schedule.graph_id}
                   </TableCell>
+                  <TableCell>{schedule.graph_version}</TableCell>
                   <TableCell>
-                    {new Date(schedule.next_run_time).toLocaleString()}
+                    {formatScheduleTime(schedule.next_run_time, userTimezone)}
                   </TableCell>
                   <TableCell>
                     <Badge variant="secondary">
-                      {cron_manager.generateDescription(schedule.cron || "")}
+                      {humanizeCronExpression(schedule.cron, userTimezone)}
                     </Badge>
                   </TableCell>
-
+                  <TableCell>
+                    <span className="text-sm text-muted-foreground">
+                      {getTimezoneAbbreviation(userTimezone)}
+                    </span>
+                  </TableCell>
                   <TableCell>
                     <div className="flex space-x-2">
                       <Button
diff --git a/autogpt_platform/frontend/src/components/nav/CreditButton.tsx b/autogpt_platform/frontend/src/components/nav/CreditButton.tsx
deleted file mode 100644
index 8fa56aa66426..000000000000
--- a/autogpt_platform/frontend/src/components/nav/CreditButton.tsx
+++ /dev/null
@@ -1,40 +0,0 @@
-"use client";
-
-import { useState, useEffect, useCallback } from "react";
-import { Button } from "@/components/ui/button";
-import { IconRefresh } from "@/components/ui/icons";
-import { useBackendAPI } from "@/lib/autogpt-server-api/context";
-
-export default function CreditButton() {
-  const [credit, setCredit] = useState<number | null>(null);
-  const api = useBackendAPI();
-
-  const fetchCredit = useCallback(async () => {
-    try {
-      const response = await api.getUserCredit();
-      setCredit(response.credits);
-    } catch (error) {
-      console.error("Error fetching credit:", error);
-      setCredit(null);
-    }
-  }, []);
-
-  useEffect(() => {
-    fetchCredit();
-  }, [fetchCredit]);
-
-  return (
-    credit !== null && (
-      <Button
-        onClick={fetchCredit}
-        variant="outline"
-        className="flex items-center space-x-2 rounded-xl bg-gray-200"
-      >
-        <span className="mr-2 flex items-center text-foreground">
-          {credit} <span className="ml-2 text-muted-foreground"> credits</span>
-        </span>
-        <IconRefresh />
-      </Button>
-    )
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/nav/MarketPopup.tsx b/autogpt_platform/frontend/src/components/nav/MarketPopup.tsx
deleted file mode 100644
index c04c32ecc3e2..000000000000
--- a/autogpt_platform/frontend/src/components/nav/MarketPopup.tsx
+++ /dev/null
@@ -1,35 +0,0 @@
-import { ButtonHTMLAttributes } from "react";
-import React from "react";
-
-interface MarketPopupProps extends ButtonHTMLAttributes<HTMLButtonElement> {
-  marketplaceUrl?: string;
-}
-
-export default function MarketPopup({
-  className = "",
-  marketplaceUrl = (() => {
-    if (process.env.NEXT_PUBLIC_APP_ENV === "prod") {
-      return "https://production-marketplace-url.com";
-    } else if (process.env.NEXT_PUBLIC_APP_ENV === "dev") {
-      return "https://dev-builder.agpt.co/marketplace";
-    } else {
-      return "http://localhost:3000/marketplace";
-    }
-  })(),
-  children,
-  ...props
-}: MarketPopupProps) {
-  const openMarketplacePopup = () => {
-    window.open(
-      marketplaceUrl,
-      "popupWindow",
-      "width=600,height=400,toolbar=no,menubar=no,scrollbars=no",
-    );
-  };
-
-  return (
-    <button onClick={openMarketplacePopup} className={className} {...props}>
-      {children}
-    </button>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx b/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx
deleted file mode 100644
index ec1edd8f273f..000000000000
--- a/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx
+++ /dev/null
@@ -1,83 +0,0 @@
-"use client";
-
-import React from "react";
-import Link from "next/link";
-import { BsBoxes } from "react-icons/bs";
-import { LuLaptop, LuShoppingCart } from "react-icons/lu";
-import { BehaveAs, cn } from "@/lib/utils";
-import { usePathname } from "next/navigation";
-import { getBehaveAs } from "@/lib/utils";
-import { IconMarketplace } from "@/components/ui/icons";
-import MarketPopup from "./MarketPopup";
-
-export function NavBarButtons({ className }: { className?: string }) {
-  const pathname = usePathname();
-  const buttons = [
-    {
-      href: "/",
-      text: "Monitor",
-      icon: <LuLaptop />,
-    },
-    {
-      href: "/build",
-      text: "Build",
-      icon: <BsBoxes />,
-    },
-    {
-      href: "/store",
-      text: "Agent Store",
-      icon: <IconMarketplace />,
-    },
-  ];
-
-  const isCloud = getBehaveAs() === BehaveAs.CLOUD;
-
-  return (
-    <>
-      {buttons.map((button) => {
-        const isActive = button.href === pathname;
-        return (
-          <Link
-            key={button.href}
-            href={button.href}
-            data-testid={`${button.text.toLowerCase()}-nav-link`}
-            className={cn(
-              className,
-              "flex items-center gap-2 rounded-xl p-3",
-              isActive
-                ? "bg-gray-950 text-white"
-                : "text-muted-foreground hover:text-foreground",
-            )}
-          >
-            {button.icon} {button.text}
-          </Link>
-        );
-      })}
-      {isCloud ? (
-        <Link
-          href="/marketplace"
-          data-testid="marketplace-nav-link"
-          className={cn(
-            className,
-            "flex items-center gap-2 rounded-xl p-3",
-            pathname === "/marketplace"
-              ? "bg-gray-950 text-white"
-              : "text-muted-foreground hover:text-foreground",
-          )}
-        >
-          <LuShoppingCart /> Marketplace
-        </Link>
-      ) : (
-        <MarketPopup
-          data-testid="marketplace-nav-link"
-          className={cn(
-            className,
-            "flex items-center gap-2 rounded-xl p-3 text-muted-foreground hover:text-foreground",
-          )}
-        >
-          <LuShoppingCart /> Marketplace
-        </MarketPopup>
-      )}
-    </>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/node-input-components.tsx b/autogpt_platform/frontend/src/components/node-input-components.tsx
index 04999420fb5f..e6188e61b4f9 100644
--- a/autogpt_platform/frontend/src/components/node-input-components.tsx
+++ b/autogpt_platform/frontend/src/components/node-input-components.tsx
@@ -5,20 +5,34 @@ import {
   PopoverTrigger,
 } from "@/components/ui/popover";
 import { format } from "date-fns";
-import { CalendarIcon, Clock } from "lucide-react";
-import { Cross2Icon, Pencil2Icon, PlusIcon } from "@radix-ui/react-icons";
+import { CalendarIcon } from "lucide-react";
 import { beautifyString, cn } from "@/lib/utils";
+import { Node, useNodeId, useNodesData } from "@xyflow/react";
+import { ConnectionData, CustomNodeData } from "@/components/CustomNode";
+import { Cross2Icon, Pencil2Icon, PlusIcon } from "@radix-ui/react-icons";
 import {
-  BlockIORootSchema,
-  BlockIOSubSchema,
-  BlockIOObjectSubSchema,
-  BlockIOKVSubSchema,
   BlockIOArraySubSchema,
-  BlockIOStringSubSchema,
-  BlockIONumberSubSchema,
   BlockIOBooleanSubSchema,
+  BlockIOCredentialsSubSchema,
+  BlockIODiscriminatedOneOfSubSchema,
+  BlockIOKVSubSchema,
+  BlockIONumberSubSchema,
+  BlockIOObjectSubSchema,
+  BlockIORootSchema,
+  BlockIOSimpleTypeSubSchema,
+  BlockIOStringSubSchema,
+  BlockIOSubSchema,
+  DataType,
+  determineDataType,
 } from "@/lib/autogpt-server-api/types";
-import React, { FC, useCallback, useEffect, useMemo, useState } from "react";
+import React, {
+  FC,
+  useCallback,
+  useEffect,
+  useMemo,
+  useState,
+  useRef,
+} from "react";
 import { Button } from "./ui/button";
 import { Switch } from "./ui/switch";
 import {
@@ -38,8 +52,7 @@ import {
 } from "./ui/multiselect";
 import { LocalValuedInput } from "./ui/input";
 import NodeHandle from "./NodeHandle";
-import { ConnectionData } from "./CustomNode";
-import { CredentialsInput } from "./integrations/credentials-input";
+import { CredentialsInput } from "@/components/integrations/credentials-input";
 
 type NodeObjectInputTreeProps = {
   nodeId: string;
@@ -64,10 +77,9 @@ const NodeObjectInputTree: FC<NodeObjectInputTreeProps> = ({
   handleInputChange,
   errors,
   className,
-  displayName,
 }) => {
   object ||= ("default" in schema ? schema.default : null) ?? {};
-  return (
+  return schema.properties ? (
     <div className={cn(className, "w-full flex-col")}>
       {Object.entries(schema.properties).map(([propKey, propSchema]) => {
         const childKey = selfKey ? `${selfKey}.${propKey}` : propKey;
@@ -96,7 +108,7 @@ const NodeObjectInputTree: FC<NodeObjectInputTreeProps> = ({
         );
       })}
     </div>
-  );
+  ) : null;
 };
 
 export default NodeObjectInputTree;
@@ -109,70 +121,181 @@ const NodeDateTimeInput: FC<{
   handleInputChange: NodeObjectInputTreeProps["handleInputChange"];
   className?: string;
   displayName: string;
+  hideDate?: boolean;
+  hideTime?: boolean;
 }> = ({
   selfKey,
-  schema,
   value = "",
   error,
   handleInputChange,
   className,
-  displayName,
+  hideDate = false,
+  hideTime = false,
 }) => {
-  const date = value ? new Date(value) : new Date();
-  const [timeInput, setTimeInput] = useState(
-    value ? format(date, "HH:mm") : "00:00",
-  );
+  const dateInput = value && !hideDate ? new Date(value) : new Date();
+  const timeInput = value && !hideTime ? format(dateInput, "HH:mm") : "00:00";
 
   const handleDateSelect = (newDate: Date | undefined) => {
     if (!newDate) return;
 
-    const [hours, minutes] = timeInput.split(":").map(Number);
-    newDate.setHours(hours, minutes);
-    handleInputChange(selfKey, newDate.toISOString());
+    if (hideTime) {
+      // Only pass YYYY-MM-DD if time is hidden
+      handleInputChange(selfKey, format(newDate, "yyyy-MM-dd"));
+    } else {
+      // Otherwise pass full date/time, but still incorporate time
+      const [hours, minutes] = timeInput.split(":").map(Number);
+      newDate.setHours(hours, minutes);
+      handleInputChange(selfKey, newDate.toISOString());
+    }
   };
 
   const handleTimeChange = (e: React.ChangeEvent<HTMLInputElement>) => {
     const newTime = e.target.value;
-    setTimeInput(newTime);
 
-    if (value) {
+    if (hideDate) {
+      // Only pass HH:mm if date is hidden
+      handleInputChange(selfKey, newTime);
+    } else {
+      // Otherwise pass full date/time
       const [hours, minutes] = newTime.split(":").map(Number);
-      const newDate = new Date(value);
-      newDate.setHours(hours, minutes);
-      handleInputChange(selfKey, newDate.toISOString());
+      dateInput.setHours(hours, minutes);
+      handleInputChange(selfKey, dateInput.toISOString());
     }
   };
 
   return (
     <div className={cn("flex flex-col gap-2", className)}>
-      <Popover>
-        <PopoverTrigger asChild>
+      {hideDate || (
+        <Popover>
+          <PopoverTrigger asChild>
+            <Button
+              variant="outline"
+              className={cn(
+                "w-full justify-start text-left font-normal",
+                !value && "text-muted-foreground",
+              )}
+            >
+              <CalendarIcon className="mr-2 h-4 w-4" />
+              {value && dateInput ? (
+                format(dateInput, "PPP")
+              ) : (
+                <span>Pick a date</span>
+              )}
+            </Button>
+          </PopoverTrigger>
+          <PopoverContent className="w-auto p-0" align="start">
+            <Calendar
+              mode="single"
+              selected={dateInput}
+              onSelect={handleDateSelect}
+              autoFocus
+            />
+          </PopoverContent>
+        </Popover>
+      )}
+      {hideTime || (
+        <LocalValuedInput
+          type="time"
+          value={timeInput}
+          onChange={handleTimeChange}
+          className="w-full"
+        />
+      )}
+      {error && <span className="error-message">{error}</span>}
+    </div>
+  );
+};
+
+const NodeFileInput: FC<{
+  selfKey: string;
+  schema: BlockIOStringSubSchema;
+  value?: string;
+  error?: string;
+  handleInputChange: NodeObjectInputTreeProps["handleInputChange"];
+  className?: string;
+  displayName: string;
+}> = ({
+  selfKey,
+  value = "",
+  error,
+  handleInputChange,
+  className,
+  displayName,
+}) => {
+  const handleFileChange = useCallback(
+    (event: React.ChangeEvent<HTMLInputElement>) => {
+      const file = event.target.files?.[0];
+      if (!file) return;
+
+      const reader = new FileReader();
+      reader.onload = (e) => {
+        const base64String = e.target?.result as string;
+        handleInputChange(selfKey, base64String);
+      };
+      reader.readAsDataURL(file);
+    },
+    [selfKey, handleInputChange],
+  );
+
+  const getFileLabel = useCallback((value: string) => {
+    if (value.startsWith("data:")) {
+      const matches = value.match(/^data:([^;]+);/);
+      if (matches?.[1]) {
+        const mimeParts = matches[1].split("/");
+        if (mimeParts.length > 1) {
+          return `${mimeParts[1].toUpperCase()} file`;
+        }
+        return `${matches[1]} file`;
+      }
+    } else {
+      const pathParts = value.split(".");
+      if (pathParts.length > 1) {
+        const ext = pathParts.pop();
+        if (ext) return `${ext.toUpperCase()} file`;
+      }
+    }
+    return "File";
+  }, []);
+
+  const inputRef = useRef<HTMLInputElement>(null);
+
+  return (
+    <div className={cn("flex flex-col gap-2", className)}>
+      <div className="nodrag flex flex-col gap-2">
+        <div className="flex items-center gap-2">
           <Button
             variant="outline"
-            className={cn(
-              "w-full justify-start text-left font-normal",
-              !value && "text-muted-foreground",
-            )}
+            onClick={() => inputRef.current?.click()}
+            className="w-full"
           >
-            <CalendarIcon className="mr-2 h-4 w-4" />
-            {value ? format(date, "PPP") : <span>Pick a date</span>}
+            {value ? `Change ${displayName}` : `Upload ${displayName}`}
           </Button>
-        </PopoverTrigger>
-        <PopoverContent className="w-auto p-0" align="start">
-          <Calendar
-            mode="single"
-            selected={date}
-            onSelect={handleDateSelect}
-            initialFocus
-          />
-        </PopoverContent>
-      </Popover>
-      <LocalValuedInput
-        type="time"
-        value={timeInput}
-        onChange={handleTimeChange}
-        className="w-full"
-      />
+          {value && (
+            <Button
+              variant="ghost"
+              className="text-red-500 hover:text-red-700"
+              onClick={() => {
+                if (inputRef.current) inputRef.current.value = "";
+                handleInputChange(selfKey, "");
+              }}
+            >
+              <Cross2Icon className="h-4 w-4" />
+            </Button>
+          )}
+        </div>
+        <input
+          ref={inputRef}
+          type="file"
+          accept="*/*"
+          onChange={handleFileChange}
+          className="hidden"
+        />
+        {value && (
+          <div className="break-all rounded-md border border-gray-300 p-2 dark:border-gray-600">
+            <small>{getFileLabel(value)}</small>
+          </div>
+        )}
+      </div>
       {error && <span className="error-message">{error}</span>}
     </div>
   );
@@ -201,253 +324,125 @@ export const NodeGenericInputField: FC<{
   className,
   displayName,
 }) => {
-  className = cn(className, "my-2");
+  className = cn(className);
   displayName ||= propSchema.title || beautifyString(propKey);
 
-  if ("allOf" in propSchema) {
-    // If this happens, that is because Pydantic wraps $refs in an allOf if the
-    // $ref has sibling schema properties (which isn't technically allowed),
-    // so there will only be one item in allOf[].
-    // AFAIK this should NEVER happen though, as $refs are resolved server-side.
-    propSchema = propSchema.allOf[0];
-    console.warn(`Unsupported 'allOf' in schema for '${propKey}'!`, propSchema);
-  }
-
-  if ("credentials_provider" in propSchema) {
-    return (
-      <NodeCredentialsInput
-        selfKey={propKey}
-        value={currentValue}
-        errors={errors}
-        className={className}
-        handleInputChange={handleInputChange}
-      />
-    );
-  }
-
-  if ("properties" in propSchema) {
-    // Render a multi-select for all-boolean sub-schemas with more than 3 properties
-    if (
-      Object.values(propSchema.properties).every(
-        (subSchema) => "type" in subSchema && subSchema.type == "boolean",
-      ) &&
-      Object.keys(propSchema.properties).length >= 3
-    ) {
-      const options = Object.keys(propSchema.properties);
-      const selectedKeys = Object.entries(currentValue || {})
-        .filter(([_, v]) => v)
-        .map(([k, _]) => k);
-      return (
-        <NodeMultiSelectInput
-          selfKey={propKey}
-          schema={propSchema}
-          selection={selectedKeys}
-          error={errors[propKey]}
-          className={className}
-          displayName={displayName}
-          handleInputChange={(key, selection) => {
-            handleInputChange(
-              key,
-              Object.fromEntries(
-                options.map((option) => [option, selection.includes(option)]),
-              ),
-            );
-          }}
-        />
-      );
-    }
-
+  if (
+    "oneOf" in propSchema &&
+    "discriminator" in propSchema &&
+    propSchema.discriminator
+  ) {
     return (
-      <NodeObjectInputTree
+      <NodeOneOfDiscriminatorField
         nodeId={nodeId}
-        selfKey={propKey}
-        schema={propSchema}
-        object={currentValue}
+        propKey={propKey}
+        propSchema={propSchema}
+        currentValue={currentValue}
+        defaultValue={propSchema.default}
         errors={errors}
-        className={cn("border-l border-gray-500 pl-2", className)} // visual indent
-        displayName={displayName}
         connections={connections}
-        handleInputClick={handleInputClick}
         handleInputChange={handleInputChange}
-      />
-    );
-  }
-
-  if ("additionalProperties" in propSchema) {
-    return (
-      <NodeKeyValueInput
-        nodeId={nodeId}
-        selfKey={propKey}
-        schema={propSchema}
-        entries={currentValue}
-        errors={errors}
+        handleInputClick={handleInputClick}
         className={className}
         displayName={displayName}
-        connections={connections}
-        handleInputChange={handleInputChange}
       />
     );
   }
 
-  if ("anyOf" in propSchema) {
-    // optional items
-    const types = propSchema.anyOf.map((s) =>
-      "type" in s ? s.type : undefined,
-    );
-    if (types.includes("string") && types.includes("null")) {
-      // optional string
+  const dt = determineDataType(propSchema);
+  switch (dt) {
+    case DataType.CREDENTIALS:
       return (
-        <NodeStringInput
+        <NodeCredentialsInput
           selfKey={propKey}
-          schema={
-            {
-              ...propSchema,
-              type: "string",
-              enum: (propSchema.anyOf[0] as BlockIOStringSubSchema).enum,
-            } as BlockIOStringSubSchema
-          }
+          schema={propSchema as BlockIOCredentialsSubSchema}
           value={currentValue}
-          error={errors[propKey]}
+          errors={errors}
           className={className}
-          displayName={displayName}
           handleInputChange={handleInputChange}
-          handleInputClick={handleInputClick}
         />
       );
-    } else if (
-      (types.includes("integer") || types.includes("number")) &&
-      types.includes("null")
-    ) {
+
+    case DataType.DATE:
+    case DataType.TIME:
+    case DataType.DATE_TIME:
+      const hideDate = dt === DataType.TIME;
+      const hideTime = dt === DataType.DATE;
       return (
-        <NodeNumberInput
+        <NodeDateTimeInput
           selfKey={propKey}
-          schema={
-            {
-              ...propSchema,
-              type: "integer",
-            } as BlockIONumberSubSchema
-          }
+          schema={propSchema as BlockIOStringSubSchema}
           value={currentValue}
           error={errors[propKey]}
           className={className}
           displayName={displayName}
           handleInputChange={handleInputChange}
+          hideDate={hideDate}
+          hideTime={hideTime}
         />
       );
-    } else if (types.includes("array") && types.includes("null")) {
+
+    case DataType.FILE:
       return (
-        <NodeArrayInput
-          nodeId={nodeId}
+        <NodeFileInput
           selfKey={propKey}
-          schema={
-            {
-              ...propSchema,
-              type: "array",
-              items: (propSchema.anyOf[0] as BlockIOArraySubSchema).items,
-            } as BlockIOArraySubSchema
-          }
-          entries={currentValue}
-          errors={errors}
+          schema={propSchema as BlockIOStringSubSchema}
+          value={currentValue}
+          error={errors[propKey]}
+          handleInputChange={handleInputChange}
           className={className}
           displayName={displayName}
-          connections={connections}
-          handleInputChange={handleInputChange}
-          handleInputClick={handleInputClick}
         />
       );
-    } else if (types.includes("object") && types.includes("null")) {
+
+    case DataType.SELECT:
       return (
-        <NodeKeyValueInput
-          nodeId={nodeId}
+        <NodeStringInput
           selfKey={propKey}
-          schema={
-            {
-              ...propSchema,
-              type: "object",
-              additionalProperties: (propSchema.anyOf[0] as BlockIOKVSubSchema)
-                .additionalProperties,
-            } as BlockIOKVSubSchema
-          }
-          entries={currentValue}
-          errors={errors}
+          schema={propSchema as BlockIOStringSubSchema}
+          value={currentValue}
+          error={errors[propKey]}
           className={className}
           displayName={displayName}
-          connections={connections}
           handleInputChange={handleInputChange}
+          handleInputClick={handleInputClick}
         />
       );
-    }
-  }
-
-  if (
-    "oneOf" in propSchema &&
-    propSchema.oneOf &&
-    "discriminator" in propSchema &&
-    propSchema.discriminator
-  ) {
-    return (
-      <NodeOneOfDiscriminatorField
-        nodeId={nodeId}
-        propKey={propKey}
-        propSchema={propSchema}
-        currentValue={currentValue}
-        errors={errors}
-        connections={connections}
-        handleInputChange={handleInputChange}
-        handleInputClick={handleInputClick}
-        className={className}
-        displayName={displayName}
-      />
-    );
-  }
-
-  if (!("type" in propSchema)) {
-    return (
-      <NodeFallbackInput
-        selfKey={propKey}
-        schema={propSchema}
-        value={currentValue}
-        error={errors[propKey]}
-        className={className}
-        displayName={displayName}
-        handleInputChange={handleInputChange}
-        handleInputClick={handleInputClick}
-      />
-    );
-  }
 
-  switch (propSchema.type) {
-    case "string":
-      if ("format" in propSchema && propSchema.format === "date-time") {
-        return (
-          <NodeDateTimeInput
-            selfKey={propKey}
-            schema={propSchema}
-            value={currentValue}
-            error={errors[propKey]}
-            className={className}
-            displayName={displayName}
-            handleInputChange={handleInputChange}
-          />
-        );
-      }
+    case DataType.MULTI_SELECT:
+      const schema = propSchema as BlockIOObjectSubSchema;
       return (
-        <NodeStringInput
+        <NodeMultiSelectInput
           selfKey={propKey}
-          schema={propSchema}
-          value={currentValue}
+          schema={schema}
+          selection={Object.entries(currentValue || {})
+            .filter(([_, v]) => v)
+            .map(([k, _]) => k)}
           error={errors[propKey]}
           className={className}
           displayName={displayName}
-          handleInputChange={handleInputChange}
-          handleInputClick={handleInputClick}
+          handleInputChange={(key, selection) => {
+            // If you want to build an object of booleans from `selection`
+            // (like your old code), do it here. Otherwise adapt to your actual UI.
+            // Example:
+            const subSchema =
+              schema.properties || (schema as any).anyOf[0].properties;
+            const allKeys = subSchema ? Object.keys(subSchema) : [];
+            handleInputChange(
+              key,
+              Object.fromEntries(
+                allKeys.map((opt) => [opt, selection.includes(opt)]),
+              ),
+            );
+          }}
         />
       );
-    case "boolean":
+
+    case DataType.BOOLEAN:
       return (
         <NodeBooleanInput
           selfKey={propKey}
-          schema={propSchema}
+          schema={propSchema as BlockIOBooleanSubSchema}
           value={currentValue}
           error={errors[propKey]}
           className={className}
@@ -455,12 +450,12 @@ export const NodeGenericInputField: FC<{
           handleInputChange={handleInputChange}
         />
       );
-    case "number":
-    case "integer":
+
+    case DataType.NUMBER:
       return (
         <NodeNumberInput
           selfKey={propKey}
-          schema={propSchema}
+          schema={propSchema as BlockIONumberSubSchema}
           value={currentValue}
           error={errors[propKey]}
           className={className}
@@ -468,12 +463,13 @@ export const NodeGenericInputField: FC<{
           handleInputChange={handleInputChange}
         />
       );
-    case "array":
+
+    case DataType.ARRAY:
       return (
         <NodeArrayInput
           nodeId={nodeId}
           selfKey={propKey}
-          schema={propSchema}
+          schema={propSchema as BlockIOArraySubSchema}
           entries={currentValue}
           errors={errors}
           className={className}
@@ -483,29 +479,46 @@ export const NodeGenericInputField: FC<{
           handleInputClick={handleInputClick}
         />
       );
-    case "object":
+
+    case DataType.KEY_VALUE:
       return (
         <NodeKeyValueInput
           nodeId={nodeId}
           selfKey={propKey}
-          schema={propSchema}
+          schema={propSchema as BlockIOKVSubSchema}
           entries={currentValue}
           errors={errors}
+          connections={connections}
+          handleInputChange={handleInputChange}
+          handleInputClick={handleInputClick}
           className={className}
           displayName={displayName}
+        />
+      );
+
+    case DataType.OBJECT:
+      return (
+        <NodeObjectInputTree
+          nodeId={nodeId}
+          selfKey={propKey}
+          schema={propSchema as any}
+          object={currentValue}
+          errors={errors}
+          className={cn("border-l border-gray-500 pl-2", className)} // visual indent
+          displayName={displayName}
           connections={connections}
+          handleInputClick={handleInputClick}
           handleInputChange={handleInputChange}
         />
       );
+
+    case DataType.LONG_TEXT:
+    case DataType.SHORT_TEXT:
     default:
-      console.warn(
-        `Schema for '${propKey}' specifies unknown type:`,
-        propSchema,
-      );
       return (
-        <NodeFallbackInput
+        <NodeStringInput
           selfKey={propKey}
-          schema={propSchema}
+          schema={propSchema as BlockIOStringSubSchema}
           value={currentValue}
           error={errors[propKey]}
           className={className}
@@ -520,10 +533,11 @@ export const NodeGenericInputField: FC<{
 const NodeOneOfDiscriminatorField: FC<{
   nodeId: string;
   propKey: string;
-  propSchema: any;
+  propSchema: BlockIODiscriminatedOneOfSubSchema;
   currentValue?: any;
+  defaultValue?: any;
   errors: { [key: string]: string | undefined };
-  connections: any;
+  connections: ConnectionData;
   handleInputChange: (key: string, value: any) => void;
   handleInputClick: (key: string) => void;
   className?: string;
@@ -533,46 +547,60 @@ const NodeOneOfDiscriminatorField: FC<{
   propKey,
   propSchema,
   currentValue,
+  defaultValue,
   errors,
   connections,
   handleInputChange,
   handleInputClick,
   className,
-  displayName,
 }) => {
   const discriminator = propSchema.discriminator;
-
   const discriminatorProperty = discriminator.propertyName;
 
   const variantOptions = useMemo(() => {
     const oneOfVariants = propSchema.oneOf || [];
 
     return oneOfVariants
-      .map((variant: any) => {
-        const variantDiscValue =
-          variant.properties?.[discriminatorProperty]?.const;
+      .map((variant) => {
+        const variantDiscValue = variant.properties?.[discriminatorProperty]
+          ?.const as string; // NOTE: can discriminators only be strings?
 
         return {
           value: variantDiscValue,
           schema: variant,
         };
       })
-      .filter((v: any) => v.value != null);
+      .filter((v) => v.value != null);
   }, [discriminatorProperty, propSchema.oneOf]);
 
-  const currentVariant = variantOptions.find(
-    (opt: any) => currentValue?.[discriminatorProperty] === opt.value,
-  );
+  const initialVariant = defaultValue
+    ? variantOptions.find(
+        (opt) => defaultValue[discriminatorProperty] === opt.value,
+      )
+    : currentValue
+      ? variantOptions.find(
+          (opt) => currentValue[discriminatorProperty] === opt.value,
+        )
+      : null;
 
   const [chosenType, setChosenType] = useState<string>(
-    currentVariant?.value || "",
+    initialVariant?.value || "",
   );
 
+  useEffect(() => {
+    if (initialVariant && !currentValue) {
+      handleInputChange(
+        propKey,
+        defaultValue || {
+          [discriminatorProperty]: initialVariant.value,
+        },
+      );
+    }
+  }, []);
+
   const handleVariantChange = (newType: string) => {
     setChosenType(newType);
-    const chosenVariant = variantOptions.find(
-      (opt: any) => opt.value === newType,
-    );
+    const chosenVariant = variantOptions.find((opt) => opt.value === newType);
     if (chosenVariant) {
       const initialValue = {
         [discriminatorProperty]: newType,
@@ -582,11 +610,27 @@ const NodeOneOfDiscriminatorField: FC<{
   };
 
   const chosenVariantSchema = variantOptions.find(
-    (opt: any) => opt.value === chosenType,
+    (opt) => opt.value === chosenType,
   )?.schema;
 
+  function getEntryKey(key: string): string {
+    // use someKey for handle purpose (not childKey)
+    return `${propKey}_#_${key}`;
+  }
+
+  function isConnected(key: string): boolean {
+    return connections.some(
+      (c) => c.targetHandle === getEntryKey(key) && c.target === nodeId,
+    );
+  }
+
   return (
-    <div className={cn("flex flex-col space-y-2", className)}>
+    <div
+      className={cn(
+        "flex min-w-[400px] max-w-[95%] flex-col space-y-4",
+        className,
+      )}
+    >
       <Select value={chosenType || ""} onValueChange={handleVariantChange}>
         <SelectTrigger className="w-full">
           <SelectValue placeholder="Select a type..." />
@@ -600,39 +644,45 @@ const NodeOneOfDiscriminatorField: FC<{
         </SelectContent>
       </Select>
 
-      {chosenVariantSchema && (
+      {chosenVariantSchema && chosenVariantSchema.properties && (
         <div className={cn(className, "w-full flex-col")}>
           {Object.entries(chosenVariantSchema.properties).map(
             ([someKey, childSchema]) => {
               if (someKey === "discriminator") {
                 return null;
               }
-              const childKey = propKey ? `${propKey}.${someKey}` : someKey;
+              const childKey = propKey ? `${propKey}.${someKey}` : someKey; // for history redo/undo purpose
               return (
                 <div
                   key={childKey}
-                  className="flex w-full flex-row justify-between space-y-2"
+                  className="mb-4 flex w-full flex-col justify-between space-y-2"
                 >
-                  <span className="mr-2 mt-3 dark:text-gray-300">
-                    {(childSchema as BlockIOSubSchema).title ||
-                      beautifyString(someKey)}
-                  </span>
-                  <NodeGenericInputField
-                    nodeId={nodeId}
-                    key={propKey}
-                    propKey={childKey}
-                    propSchema={childSchema as BlockIOSubSchema}
-                    currentValue={
-                      currentValue ? currentValue[someKey] : undefined
-                    }
-                    errors={errors}
-                    connections={connections}
-                    handleInputChange={handleInputChange}
-                    handleInputClick={handleInputClick}
-                    displayName={
-                      chosenVariantSchema.title || beautifyString(someKey)
-                    }
+                  <NodeHandle
+                    keyName={getEntryKey(someKey)}
+                    schema={childSchema}
+                    isConnected={isConnected(getEntryKey(someKey))}
+                    isRequired={false}
+                    side="left"
                   />
+
+                  {!isConnected(someKey) && (
+                    <NodeGenericInputField
+                      nodeId={nodeId}
+                      key={propKey}
+                      propKey={childKey}
+                      propSchema={childSchema}
+                      currentValue={
+                        currentValue
+                          ? currentValue[someKey]
+                          : defaultValue?.[someKey]
+                      }
+                      errors={errors}
+                      connections={connections}
+                      handleInputChange={handleInputChange}
+                      handleInputClick={handleInputClick}
+                      displayName={beautifyString(someKey)}
+                    />
+                  )}
                 </div>
               );
             },
@@ -645,14 +695,19 @@ const NodeOneOfDiscriminatorField: FC<{
 
 const NodeCredentialsInput: FC<{
   selfKey: string;
+  schema: BlockIOCredentialsSubSchema;
   value: any;
   errors: { [key: string]: string | undefined };
   handleInputChange: NodeObjectInputTreeProps["handleInputChange"];
   className?: string;
-}> = ({ selfKey, value, errors, handleInputChange, className }) => {
+}> = ({ selfKey, schema, value, errors, handleInputChange, className }) => {
+  const nodeInputValues = useNodesData<Node<CustomNodeData>>(useNodeId()!)?.data
+    .hardcodedValues;
   return (
     <div className={cn("flex flex-col", className)}>
       <CredentialsInput
+        schema={schema}
+        siblingInputs={nodeInputValues}
         onSelectCredentials={(credsMeta) =>
           handleInputChange(selfKey, credsMeta)
         }
@@ -665,10 +720,6 @@ const NodeCredentialsInput: FC<{
   );
 };
 
-const InputRef = (value: any): ((el: HTMLInputElement | null) => void) => {
-  return (el) => el && value != null && (el.value = value);
-};
-
 const NodeKeyValueInput: FC<{
   nodeId: string;
   selfKey: string;
@@ -677,6 +728,7 @@ const NodeKeyValueInput: FC<{
   errors: { [key: string]: string | undefined };
   connections: NodeObjectInputTreeProps["connections"];
   handleInputChange: NodeObjectInputTreeProps["handleInputChange"];
+  handleInputClick: NodeObjectInputTreeProps["handleInputClick"];
   className?: string;
   displayName?: string;
 }> = ({
@@ -686,6 +738,7 @@ const NodeKeyValueInput: FC<{
   schema,
   connections,
   handleInputChange,
+  handleInputClick,
   errors,
   className,
   displayName,
@@ -706,7 +759,7 @@ const NodeKeyValueInput: FC<{
   }, [entries, schema.default, connections, nodeId, selfKey]);
 
   const [keyValuePairs, setKeyValuePairs] = useState<
-    { key: string; value: string | number | null }[]
+    { key: string; value: any }[]
   >([]);
 
   useEffect(
@@ -723,16 +776,6 @@ const NodeKeyValueInput: FC<{
     );
   }
 
-  function convertValueType(value: string): string | number | null {
-    if (
-      !schema.additionalProperties ||
-      schema.additionalProperties.type == "string"
-    )
-      return value;
-    if (!value) return null;
-    return Number(value);
-  }
-
   function getEntryKey(key: string): string {
     return `${selfKey}_#_${key}`;
   }
@@ -742,18 +785,23 @@ const NodeKeyValueInput: FC<{
     );
   }
 
+  const propSchema =
+    schema.additionalProperties && schema.additionalProperties.type
+      ? schema.additionalProperties
+      : ({ type: "string" } as BlockIOSimpleTypeSubSchema);
+
   return (
     <div
       className={cn(className, keyValuePairs.length > 0 ? "flex flex-col" : "")}
     >
       <div>
         {keyValuePairs.map(({ key, value }, index) => (
-          /*
-          The `index` is used as a DOM key instead of the actual `key`
-          because the `key` can change with each input, causing the input to lose focus.
-          */
+          // The `index` is used as a DOM key instead of the actual `key`
+          // because the `key` can change with each input, causing the input to lose focus.
           <div key={index}>
             <NodeHandle
+              title={`#${key}`}
+              className="text-sm text-gray-500"
               keyName={getEntryKey(key)}
               schema={{ type: "string" }}
               isConnected={isConnected(key)}
@@ -775,18 +823,24 @@ const NodeKeyValueInput: FC<{
                     )
                   }
                 />
-                <LocalValuedInput
-                  type="text"
-                  placeholder="Value"
-                  value={value ?? ""}
-                  onChange={(e) =>
+                <NodeGenericInputField
+                  className="w-full"
+                  nodeId={nodeId}
+                  propKey={`${selfKey}_#_${key}`}
+                  propSchema={propSchema}
+                  currentValue={value}
+                  errors={errors}
+                  connections={connections}
+                  displayName={displayName || beautifyString(key)}
+                  handleInputChange={(_, newValue) =>
                     updateKeyValuePairs(
                       keyValuePairs.toSpliced(index, 1, {
                         key: key,
-                        value: convertValueType(e.target.value),
+                        value: newValue,
                       }),
                     )
                   }
+                  handleInputClick={handleInputClick}
                 />
                 <Button
                   variant="ghost"
@@ -876,24 +930,28 @@ const NodeArrayInput: FC<{
             (c) => c.targetHandle === entryKey && c.target === nodeId,
           );
         return (
-          <div key={entryKey} className="self-start">
+          <div key={entryKey}>
+            <NodeHandle
+              title={`#${index + 1}`}
+              className="text-sm text-gray-500"
+              keyName={entryKey}
+              schema={schema.items!}
+              isConnected={isConnected}
+              isRequired={false}
+              side="left"
+            />
             <div className="mb-2 flex space-x-2">
-              <NodeHandle
-                keyName={entryKey}
-                schema={schema.items!}
-                isConnected={isConnected}
-                isRequired={false}
-                side="left"
-              />
               {!isConnected &&
                 (schema.items ? (
                   <NodeGenericInputField
+                    className="w-full"
                     nodeId={nodeId}
                     propKey={entryKey}
                     propSchema={schema.items}
                     currentValue={entry}
                     errors={errors}
                     connections={connections}
+                    displayName={displayName || beautifyString(selfKey)}
                     handleInputChange={handleInputChange}
                     handleInputClick={handleInputClick}
                   />
@@ -956,7 +1014,12 @@ const NodeMultiSelectInput: FC<{
   displayName,
   handleInputChange,
 }) => {
-  const options = Object.keys(schema.properties);
+  const optionSchema =
+    schema.properties ||
+    ((schema as any).anyOf?.length > 0
+      ? (schema as any).anyOf[0].properties
+      : {});
+  const options = Object.keys(optionSchema);
 
   return (
     <div className={cn("flex flex-col", className)}>
@@ -975,7 +1038,7 @@ const NodeMultiSelectInput: FC<{
         <MultiSelectorContent className="nowheel">
           <MultiSelectorList>
             {options
-              .map((key) => ({ ...schema.properties[key], key }))
+              .map((key) => ({ ...optionSchema[key], key }))
               .map(({ key, title, description }) => (
                 <MultiSelectorItem key={key} value={key} title={description}>
                   {title ?? key}
@@ -1011,7 +1074,7 @@ const NodeStringInput: FC<{
   value ||= schema.default || "";
   return (
     <div className={className}>
-      {schema.enum ? (
+      {schema.enum && schema.enum.length > 0 ? (
         <Select
           defaultValue={value}
           onValueChange={(newValue) => handleInputChange(selfKey, newValue)}
@@ -1020,11 +1083,13 @@ const NodeStringInput: FC<{
             <SelectValue placeholder={schema.placeholder || displayName} />
           </SelectTrigger>
           <SelectContent className="nodrag">
-            {schema.enum.map((option, index) => (
-              <SelectItem key={index} value={option}>
-                {beautifyString(option)}
-              </SelectItem>
-            ))}
+            {schema.enum
+              .filter((option) => option)
+              .map((option, index) => (
+                <SelectItem key={index} value={option}>
+                  {beautifyString(option)}
+                </SelectItem>
+              ))}
           </SelectContent>
         </Select>
       ) : (
@@ -1079,6 +1144,13 @@ export const NodeTextBoxInput: FC<{
   displayName,
 }) => {
   value ||= schema.default || "";
+
+  const [localValue, setLocalValue] = useState(value || schema.default || "");
+
+  useEffect(() => {
+    setLocalValue(value || schema.default || "");
+  }, [value, schema.default]);
+
   return (
     <div className={className}>
       <div
@@ -1087,12 +1159,13 @@ export const NodeTextBoxInput: FC<{
       >
         <textarea
           id={selfKey}
-          value={schema.secret && value ? "********" : value}
+          value={schema.secret && localValue ? "********" : localValue}
+          onChange={(e) => setLocalValue(e.target.value)}
+          onBlur={() => handleInputChange(selfKey, localValue)}
           readOnly={schema.secret}
           placeholder={
             schema?.placeholder || `Enter ${beautifyString(displayName)}`
           }
-          onChange={(e) => handleInputChange(selfKey, e.target.value)}
           className="h-full w-full resize-none overflow-hidden border-none bg-transparent text-lg text-black outline-none dark:text-white"
           style={{
             fontSize: "min(1em, 16px)",
@@ -1153,27 +1226,16 @@ const NodeBooleanInput: FC<{
   handleInputChange: NodeObjectInputTreeProps["handleInputChange"];
   className?: string;
   displayName: string;
-}> = ({
-  selfKey,
-  schema,
-  value,
-  error,
-  handleInputChange,
-  className,
-  displayName,
-}) => {
-  value ||= schema.default ?? false;
+}> = ({ selfKey, schema, value, error, handleInputChange, className }) => {
+  if (value == null) {
+    value = schema.default ?? false;
+  }
   return (
     <div className={className}>
-      <div className="nodrag flex items-center">
-        <Switch
-          defaultChecked={value}
-          onCheckedChange={(v) => handleInputChange(selfKey, v)}
-        />
-        {displayName && (
-          <span className="ml-3 dark:text-gray-300">{displayName}</span>
-        )}
-      </div>
+      <Switch
+        defaultChecked={value}
+        onCheckedChange={(v) => handleInputChange(selfKey, v)}
+      />
       {error && <span className="error-message">{error}</span>}
     </div>
   );
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingAgentCard.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingAgentCard.tsx
new file mode 100644
index 000000000000..45e484b59560
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingAgentCard.tsx
@@ -0,0 +1,106 @@
+import { cn } from "@/lib/utils";
+import StarRating from "./StarRating";
+import { StoreAgentDetails } from "@/lib/autogpt-server-api";
+import SmartImage from "../agptui/SmartImage";
+
+type OnboardingAgentCardProps = {
+  agent?: StoreAgentDetails;
+  selected?: boolean;
+  onClick: () => void;
+};
+
+export default function OnboardingAgentCard({
+  agent,
+  selected,
+  onClick,
+}: OnboardingAgentCardProps) {
+  if (!agent) {
+    return (
+      <div
+        className={cn(
+          "relative animate-pulse",
+          "h-[394px] w-[368px] rounded-[20px] border border-transparent bg-zinc-200",
+        )}
+        onClick={onClick}
+      />
+    );
+  }
+
+  const {
+    agent_image,
+    creator_avatar,
+    agent_name,
+    description,
+    creator,
+    runs,
+    rating,
+  } = agent;
+
+  return (
+    <div
+      className={cn(
+        "relative cursor-pointer transition-all duration-200 ease-in-out",
+        "h-[394px] w-[368px] rounded-[20px] border border-transparent bg-white",
+        selected ? "bg-[#F5F3FF80]" : "hover:border-zinc-400",
+      )}
+      onClick={onClick}
+    >
+      {/* Image container */}
+      <div className="relative">
+        <SmartImage
+          src={agent_image?.[0]}
+          alt="Agent cover"
+          className="m-2 h-[196px] w-[350px] rounded-[16px]"
+        />
+        {/* Profile picture overlay */}
+        <div className="absolute bottom-2 left-4">
+          <SmartImage
+            src={creator_avatar}
+            alt="Profile picture"
+            className="h-[50px] w-[50px] rounded-full border border-white"
+          />
+        </div>
+      </div>
+
+      {/* Content container */}
+      <div className="flex h-[180px] flex-col justify-between px-4 pb-3">
+        {/* Text content wrapper */}
+        <div>
+          {/* Title - 2 lines max */}
+          <p className="text-md line-clamp-2 max-h-[50px] font-sans text-base font-medium leading-normal text-zinc-800">
+            {agent_name}
+          </p>
+
+          {/* Author - single line with truncate */}
+          <p className="truncate text-sm font-normal leading-normal text-zinc-600">
+            by {creator}
+          </p>
+
+          {/* Description - 3 lines max */}
+          <p
+            className={cn(
+              "mt-2 line-clamp-3 text-sm leading-5",
+              selected ? "text-zinc-500" : "text-zinc-400",
+            )}
+          >
+            {description}
+          </p>
+        </div>
+
+        {/* Bottom stats */}
+        <div className="flex w-full items-center justify-between">
+          <span className="mt-1 font-sans text-sm font-medium text-zinc-800">
+            {runs?.toLocaleString("en-US")} runs
+          </span>
+          <StarRating rating={rating} />
+        </div>
+      </div>
+      <div
+        className={cn(
+          "pointer-events-none absolute inset-0 rounded-[20px] border-2 transition-all duration-200 ease-in-out",
+          selected ? "border-violet-700" : "border-transparent",
+        )}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingBackButton.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingBackButton.tsx
new file mode 100644
index 000000000000..b3dfe1147cf4
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingBackButton.tsx
@@ -0,0 +1,20 @@
+import { ChevronLeft } from "lucide-react";
+import Link from "next/link";
+
+interface OnboardingBackButtonProps {
+  href: string;
+}
+
+export default function OnboardingBackButton({
+  href,
+}: OnboardingBackButtonProps) {
+  return (
+    <Link
+      className="flex items-center gap-2 font-sans text-base font-medium text-zinc-700 transition-colors duration-200 hover:text-zinc-800"
+      href={href}
+    >
+      <ChevronLeft size={24} className="-mr-1" />
+      <span>Back</span>
+    </Link>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingButton.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingButton.tsx
new file mode 100644
index 000000000000..9c6d746ffc8e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingButton.tsx
@@ -0,0 +1,76 @@
+import { useCallback, useMemo, useState } from "react";
+import { LoadingSpinner } from "@/components/ui/loading";
+import { cn } from "@/lib/utils";
+import Link from "next/link";
+
+const variants = {
+  default: "bg-zinc-700 hover:bg-zinc-800",
+  violet: "bg-violet-600 hover:bg-violet-700",
+};
+
+type OnboardingButtonProps = {
+  className?: string;
+  variant?: keyof typeof variants;
+  children?: React.ReactNode;
+  loading?: boolean;
+  disabled?: boolean;
+  onClick?: () => void;
+  href?: string;
+  icon?: React.ReactNode;
+};
+
+export default function OnboardingButton({
+  className,
+  variant = "default",
+  children,
+  loading,
+  disabled,
+  onClick,
+  href,
+  icon,
+}: OnboardingButtonProps) {
+  const [internalLoading, setInternalLoading] = useState(false);
+  const isLoading = loading !== undefined ? loading : internalLoading;
+
+  const buttonClasses = useMemo(
+    () =>
+      cn(
+        "font-sans text-white text-sm font-medium",
+        "inline-flex justify-center items-center",
+        "h-12 min-w-[100px] rounded-full py-3 px-5",
+        "transition-colors duration-200",
+        className,
+        disabled ? "bg-zinc-300 cursor-not-allowed" : variants[variant],
+      ),
+    [disabled, variant, className],
+  );
+
+  const onClickInternal = useCallback(() => {
+    setInternalLoading(true);
+    if (onClick) {
+      onClick();
+    }
+  }, [setInternalLoading, onClick]);
+
+  if (href && !disabled) {
+    return (
+      <Link href={href} onClick={onClickInternal} className={buttonClasses}>
+        {isLoading && <LoadingSpinner className="mr-2 size-5" />}
+        {icon && !isLoading && <>{icon}</>}
+        {children}
+      </Link>
+    );
+  }
+
+  return (
+    <button
+      onClick={onClickInternal}
+      disabled={disabled}
+      className={buttonClasses}
+    >
+      {isLoading && <LoadingSpinner className="mr-2 size-5" />}
+      {icon && !isLoading && <>{icon}</>}
+      {children}
+    </button>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingGrid.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingGrid.tsx
new file mode 100644
index 000000000000..1ac56ca56c4a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingGrid.tsx
@@ -0,0 +1,86 @@
+import { cn } from "@/lib/utils";
+import SmartImage from "../agptui/SmartImage";
+
+type OnboardingGridElementProps = {
+  name: string;
+  text: string;
+  icon: string;
+  selected: boolean;
+  onClick: () => void;
+};
+
+function OnboardingGridElement({
+  name,
+  text,
+  icon,
+  selected,
+  onClick,
+}: OnboardingGridElementProps) {
+  return (
+    <button
+      className={cn(
+        "relative flex h-[236px] w-[200px] flex-col items-start gap-2 rounded-xl border border-transparent bg-white p-[15px] font-sans",
+        "transition-all duration-200 ease-in-out",
+        selected ? "bg-[#F5F3FF80]" : "hover:border-zinc-400",
+      )}
+      onClick={onClick}
+    >
+      <SmartImage
+        src={icon}
+        alt={`Logo of ${name}`}
+        imageContain
+        className="h-12 w-12 rounded-lg"
+      />
+      <span className="text-md mt-4 w-full text-left font-medium leading-normal text-[#121212]">
+        {name}
+      </span>
+      <span className="w-full text-left text-[11.5px] font-normal leading-5 text-zinc-500">
+        {text}
+      </span>
+      <div
+        className={cn(
+          "pointer-events-none absolute inset-0 rounded-xl border-2 transition-all duration-200 ease-in-out",
+          selected ? "border-violet-700" : "border-transparent",
+        )}
+      />
+    </button>
+  );
+}
+
+type OnboardingGridProps = {
+  className?: string;
+  elements: Array<{
+    name: string;
+    text: string;
+    icon: string;
+  }>;
+  selected?: string[];
+  onSelect: (name: string) => void;
+};
+
+export function OnboardingGrid({
+  className,
+  elements,
+  selected,
+  onSelect,
+}: OnboardingGridProps) {
+  return (
+    <div
+      className={cn(
+        className,
+        "grid grid-cols-1 gap-3 sm:grid-cols-2 lg:grid-cols-4",
+      )}
+    >
+      {elements.map((element) => (
+        <OnboardingGridElement
+          key={element.name}
+          name={element.name}
+          text={element.text}
+          icon={element.icon}
+          selected={selected?.includes(element.name) || false}
+          onClick={() => onSelect(element.name)}
+        />
+      ))}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingInput.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingInput.tsx
new file mode 100644
index 000000000000..bf754e09fe83
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingInput.tsx
@@ -0,0 +1,29 @@
+import { cn } from "@/lib/utils";
+
+interface OnboardingInputProps {
+  className?: string;
+  placeholder: string;
+  value: string;
+  onChange: (value: string) => void;
+}
+
+export default function OnboardingInput({
+  className,
+  placeholder,
+  value,
+  onChange,
+}: OnboardingInputProps) {
+  return (
+    <input
+      className={cn(
+        className,
+        "font-poppin relative h-[50px] w-[512px] rounded-[25px] border border-transparent bg-white px-4 text-sm font-normal leading-normal text-zinc-900",
+        "transition-all duration-200 ease-in-out placeholder:text-zinc-400",
+        "focus:border-transparent focus:bg-[#F5F3FF80] focus:outline-none focus:ring-2 focus:ring-violet-700",
+      )}
+      placeholder={placeholder}
+      value={value}
+      onChange={(e) => onChange(e.target.value)}
+    />
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingList.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingList.tsx
new file mode 100644
index 000000000000..f0c00274a2a2
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingList.tsx
@@ -0,0 +1,135 @@
+import { cn } from "@/lib/utils";
+import { Check } from "lucide-react";
+import { useCallback, useEffect, useRef, useState } from "react";
+
+type OnboardingListElementProps = {
+  label: string;
+  text: string;
+  selected?: boolean;
+  custom?: boolean;
+  onClick: (content: string) => void;
+};
+
+export function OnboardingListElement({
+  label,
+  text,
+  selected,
+  custom,
+  onClick,
+}: OnboardingListElementProps) {
+  const inputRef = useRef<HTMLInputElement>(null);
+  const [content, setContent] = useState(text);
+
+  useEffect(() => {
+    if (selected && custom && inputRef.current) {
+      inputRef.current.focus();
+    }
+  }, [selected, custom]);
+
+  const setCustomText = (e: React.ChangeEvent<HTMLInputElement>) => {
+    setContent(e.target.value);
+    onClick(e.target.value);
+  };
+
+  return (
+    <button
+      onClick={() => onClick(content)}
+      className={cn(
+        "relative flex h-[78px] w-[530px] items-center rounded-xl border border-transparent px-5 py-4 transition-all duration-200 ease-in-out",
+        selected ? "bg-[#F5F3FF80]" : "bg-white hover:border-zinc-400",
+      )}
+    >
+      <div className="flex w-full flex-col items-start gap-1">
+        <span className="text-sm font-medium text-zinc-700">{label}</span>
+        {custom && selected ? (
+          <input
+            ref={inputRef}
+            className={cn(
+              selected ? "text-zinc-600" : "text-zinc-400",
+              "font-poppin w-full border-0 bg-[#F5F3FF80] text-sm focus:outline-none",
+            )}
+            placeholder="Please specify"
+            value={content}
+            onChange={setCustomText}
+          />
+        ) : (
+          <span
+            className={cn(
+              selected ? "text-zinc-600" : "text-zinc-400",
+              "text-sm",
+            )}
+          >
+            {custom ? "Please specify" : text}
+          </span>
+        )}
+      </div>
+      {!custom && (
+        <div className="absolute right-4">
+          <Check
+            size={24}
+            className={cn(
+              "transition-all duration-200 ease-in-out",
+              selected ? "text-violet-700" : "text-transparent",
+            )}
+          />
+        </div>
+      )}
+      <div
+        className={cn(
+          "pointer-events-none absolute inset-0 rounded-xl border-2 transition-all duration-200 ease-in-out",
+          selected ? "border-violet-700" : "border-transparent",
+        )}
+      />
+    </button>
+  );
+}
+
+type OnboardingListProps = {
+  className?: string;
+  elements: Array<{
+    label: string;
+    text: string;
+    id: string;
+  }>;
+  selectedId?: string | null;
+  onSelect: (id: string) => void;
+};
+
+function OnboardingList({
+  className,
+  elements,
+  selectedId,
+  onSelect,
+}: OnboardingListProps) {
+  const isCustom = useCallback(() => {
+    return (
+      selectedId !== null &&
+      !elements.some((element) => element.id === selectedId)
+    );
+  }, [selectedId, elements]);
+
+  return (
+    <div className={cn(className, "flex flex-col gap-2")}>
+      {elements.map((element) => (
+        <OnboardingListElement
+          key={element.id}
+          label={element.label}
+          text={element.text}
+          selected={element.id === selectedId}
+          onClick={() => onSelect(element.id)}
+        />
+      ))}
+      <OnboardingListElement
+        label="Other"
+        text={isCustom() ? selectedId! : ""}
+        selected={isCustom()}
+        custom
+        onClick={(c) => {
+          onSelect(c);
+        }}
+      />
+    </div>
+  );
+}
+
+export default OnboardingList;
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingProgress.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingProgress.tsx
new file mode 100644
index 000000000000..1dd2747562e8
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingProgress.tsx
@@ -0,0 +1,45 @@
+import { useState, useEffect, useRef } from "react";
+
+interface OnboardingProgressProps {
+  totalSteps: number;
+  toStep: number;
+}
+
+export default function OnboardingProgress({
+  totalSteps,
+  toStep,
+}: OnboardingProgressProps) {
+  const [animatedStep, setAnimatedStep] = useState(toStep - 1);
+  const isInitialMount = useRef(true);
+
+  useEffect(() => {
+    if (isInitialMount.current) {
+      // On initial mount, just set the position without animation
+      isInitialMount.current = false;
+      return;
+    }
+    // After initial mount, animate position changes
+    setAnimatedStep(toStep - 1);
+  }, [toStep]);
+
+  return (
+    <div className="relative flex items-center justify-center gap-3">
+      {/* Background circles */}
+      {Array.from({ length: totalSteps + 1 }).map((_, index) => (
+        <div key={index} className="h-2 w-2 rounded-full bg-zinc-400" />
+      ))}
+
+      {/* Animated progress indicator */}
+      <div
+        className={`absolute left-0 h-2 w-7 rounded-full bg-zinc-400 ${
+          !isInitialMount.current
+            ? "transition-all duration-300 ease-in-out"
+            : ""
+        }`}
+        style={{
+          transform: `translateX(${animatedStep * 20}px)`,
+        }}
+      />
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingStep.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingStep.tsx
new file mode 100644
index 000000000000..09a0c88377b0
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingStep.tsx
@@ -0,0 +1,66 @@
+"use client";
+import { ReactNode } from "react";
+import OnboardingBackButton from "./OnboardingBackButton";
+import { cn } from "@/lib/utils";
+import OnboardingProgress from "./OnboardingProgress";
+import { useOnboarding } from "./onboarding-provider";
+
+export function OnboardingStep({
+  dotted,
+  children,
+}: {
+  dotted?: boolean;
+  children: ReactNode;
+}) {
+  return (
+    <div className="relative flex min-h-screen w-full flex-col">
+      {dotted && (
+        <div className="absolute left-1/2 h-full w-1/2 bg-white bg-[radial-gradient(#e5e7eb77_1px,transparent_1px)] [background-size:10px_10px]"></div>
+      )}
+      <div className="z-10 flex flex-col items-center">{children}</div>
+    </div>
+  );
+}
+
+interface OnboardingHeaderProps {
+  backHref: string;
+  transparent?: boolean;
+  children?: ReactNode;
+}
+
+export function OnboardingHeader({
+  backHref,
+  transparent,
+  children,
+}: OnboardingHeaderProps) {
+  const { step } = useOnboarding();
+
+  return (
+    <div className="sticky top-0 z-10 w-full">
+      <div
+        className={cn(transparent ? "bg-transparent" : "bg-gray-100", "pb-5")}
+      >
+        <div className="flex w-full items-center justify-between px-5 py-4">
+          <OnboardingBackButton href={backHref} />
+          <OnboardingProgress totalSteps={5} toStep={(step || 1) - 1} />
+        </div>
+        {children}
+      </div>
+
+      {!transparent && (
+        <div className="h-4 w-full bg-gradient-to-b from-gray-100 via-gray-100/50 to-transparent" />
+      )}
+    </div>
+  );
+}
+
+export function OnboardingFooter({ children }: { children?: ReactNode }) {
+  return (
+    <div className="sticky bottom-0 z-10 w-full">
+      <div className="h-4 w-full bg-gradient-to-t from-gray-100 via-gray-100/50 to-transparent" />
+      <div className="flex justify-center bg-gray-100">
+        <div className="px-5 py-5">{children}</div>
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/OnboardingText.tsx b/autogpt_platform/frontend/src/components/onboarding/OnboardingText.tsx
new file mode 100644
index 000000000000..9401f67ad67d
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/OnboardingText.tsx
@@ -0,0 +1,33 @@
+import { cn } from "@/lib/utils";
+import { ReactNode } from "react";
+
+const variants = {
+  header: "font-poppin text-xl font-medium leading-7 text-zinc-900",
+  subheader: "font-sans text-sm font-medium leading-6 text-zinc-800",
+  default: "font-sans text-sm font-normal leading-6 text-zinc-500",
+};
+
+export function OnboardingText({
+  className,
+  center,
+  variant = "default",
+  children,
+}: {
+  className?: string;
+  center?: boolean;
+  variant?: keyof typeof variants;
+  children: ReactNode;
+}) {
+  return (
+    <div
+      className={cn(
+        "w-full",
+        center ? "text-center" : "text-left",
+        variants[variant] || variants.default,
+        className,
+      )}
+    >
+      {children}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/StarRating.tsx b/autogpt_platform/frontend/src/components/onboarding/StarRating.tsx
new file mode 100644
index 000000000000..e325c35a4a52
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/StarRating.tsx
@@ -0,0 +1,63 @@
+import { cn } from "@/lib/utils";
+import { useMemo } from "react";
+import { FaRegStar, FaStar, FaStarHalfAlt } from "react-icons/fa";
+
+export default function StarRating({
+  className,
+  starSize,
+  rating,
+}: {
+  className?: string;
+  starSize?: number;
+  rating: number;
+}) {
+  // Round to 1 decimal place
+  const roundedRating = Math.round(rating * 10) / 10;
+  starSize ??= 15;
+
+  // Generate array of 5 star values
+  const stars = useMemo(
+    () =>
+      Array(5)
+        .fill(0)
+        .map((_, index) => {
+          const difference = roundedRating - index;
+
+          if (difference >= 1) {
+            return "full";
+          } else if (difference > 0) {
+            // Half star for values between 0.2 and 0.8
+            return difference >= 0.8
+              ? "full"
+              : difference >= 0.2
+                ? "half"
+                : "empty";
+          }
+          return "empty";
+        }),
+    [roundedRating],
+  );
+
+  return (
+    <div
+      className={cn(
+        "flex items-center gap-0.5 text-sm font-medium text-zinc-800",
+        className,
+      )}
+    >
+      {/* Display numerical rating */}
+      <span className="mr-1 mt-1">{roundedRating}</span>
+
+      {/* Display stars */}
+      {stars.map((starType, index) => {
+        if (starType === "full") {
+          return <FaStar size={starSize} key={index} />;
+        } else if (starType === "half") {
+          return <FaStarHalfAlt size={starSize} key={index} />;
+        } else {
+          return <FaRegStar size={starSize} key={index} />;
+        }
+      })}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/WalletTaskGroups.tsx b/autogpt_platform/frontend/src/components/onboarding/WalletTaskGroups.tsx
new file mode 100644
index 000000000000..f5c23b68817b
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/WalletTaskGroups.tsx
@@ -0,0 +1,342 @@
+import { useCallback, useEffect, useRef, useState } from "react";
+import { ChevronDown, Check } from "lucide-react";
+import { OnboardingStep } from "@/lib/autogpt-server-api";
+import { useOnboarding } from "./onboarding-provider";
+import { cn } from "@/lib/utils";
+import * as party from "party-js";
+
+interface Task {
+  id: OnboardingStep;
+  name: string;
+  amount: number;
+  details: string;
+  video?: string;
+}
+
+interface TaskGroup {
+  name: string;
+  tasks: Task[];
+  isOpen: boolean;
+}
+
+export function TaskGroups() {
+  const [groups, setGroups] = useState<TaskGroup[]>([
+    {
+      name: "Run your first agents",
+      isOpen: true,
+      tasks: [
+        {
+          id: "GET_RESULTS",
+          name: "Complete onboarding and see your first agent's results",
+          amount: 3,
+          details: "",
+        },
+        {
+          id: "RUN_AGENTS",
+          name: "Run 10 agents",
+          amount: 3,
+          details: "Run agents from Library or Builder 10 times",
+        },
+      ],
+    },
+    {
+      name: "Explore the Marketplace",
+      isOpen: true,
+      tasks: [
+        {
+          id: "MARKETPLACE_VISIT",
+          name: "Go to Marketplace",
+          amount: 0,
+          details: "Click Marketplace in the top navigation",
+          video: "/onboarding/marketplace-visit.mp4",
+        },
+        {
+          id: "MARKETPLACE_ADD_AGENT",
+          name: "Find an agent",
+          amount: 1,
+          details:
+            "Search for an agent in the Marketplace, like a code generator or research assistant and add it to your Library",
+          video: "/onboarding/marketplace-add.mp4",
+        },
+        {
+          id: "MARKETPLACE_RUN_AGENT",
+          name: "Try out your agent",
+          amount: 1,
+          details:
+            "Run the agent you found in the Marketplace from the Library - whether it's a writing assistant, data analyzer, or something else",
+          video: "/onboarding/marketplace-run.mp4",
+        },
+      ],
+    },
+    {
+      name: "Build your own agent",
+      isOpen: true,
+      tasks: [
+        {
+          id: "BUILDER_OPEN",
+          name: "Open the Builder",
+          amount: 0,
+          details: "Click Builder in the top navigation",
+          video: "/onboarding/builder-open.mp4",
+        },
+        {
+          id: "BUILDER_SAVE_AGENT",
+          name: "Place your first blocks and save your agent",
+          amount: 1,
+          details:
+            "Open block library on the left and add a block to the canvas then save your agent",
+          video: "/onboarding/builder-save.mp4",
+        },
+        {
+          id: "BUILDER_RUN_AGENT",
+          name: "Run your agent",
+          amount: 1,
+          details: "Run your agent from the Builder",
+          video: "/onboarding/builder-run.mp4",
+        },
+      ],
+    },
+  ]);
+  const { state, updateState } = useOnboarding();
+  const refs = useRef<Record<string, HTMLDivElement | null>>({});
+
+  const toggleGroup = useCallback((name: string) => {
+    setGroups((prevGroups) =>
+      prevGroups.map((group) =>
+        group.name === name ? { ...group, isOpen: !group.isOpen } : group,
+      ),
+    );
+  }, []);
+
+  const isTaskCompleted = useCallback(
+    (task: Task) => {
+      return state?.completedSteps?.includes(task.id) || false;
+    },
+    [state?.completedSteps],
+  );
+
+  const getCompletedCount = useCallback(
+    (tasks: Task[]) => {
+      return tasks.filter((task) => isTaskCompleted(task)).length;
+    },
+    [isTaskCompleted],
+  );
+
+  const isGroupCompleted = useCallback(
+    (group: TaskGroup) => {
+      return group.tasks.every((task) => isTaskCompleted(task));
+    },
+    [isTaskCompleted],
+  );
+
+  const setRef = (name: string) => (el: HTMLDivElement | null) => {
+    if (el) {
+      refs.current[name] = el;
+    }
+  };
+
+  const delayConfetti = useCallback((el: HTMLDivElement, count: number) => {
+    setTimeout(() => {
+      party.confetti(el, {
+        count,
+        spread: 90,
+        shapes: ["square", "circle"],
+        size: party.variation.range(1, 1.5),
+        speed: party.variation.range(250, 350),
+        modules: [
+          new party.ModuleBuilder()
+            .drive("opacity")
+            .by((t) => 1.4 - t)
+            .through("lifetime")
+            .build(),
+        ],
+      });
+    }, 300);
+  }, []);
+
+  useEffect(() => {
+    groups.forEach((group) => {
+      const groupCompleted = isGroupCompleted(group);
+      // Check if the last task in the group is completed
+      const alreadyCelebrated = state?.notified.includes(
+        group.tasks[group.tasks.length - 1].id,
+      );
+
+      if (groupCompleted) {
+        const el = refs.current[group.name];
+        if (el && !alreadyCelebrated) {
+          delayConfetti(el, 50);
+          // Update the state to include all group tasks as notified
+          // This ensures that the confetti effect isn't perpetually triggered on Wallet
+          const notifiedTasks = group.tasks.map((task) => task.id);
+          updateState({
+            notified: [...(state?.notified || []), ...notifiedTasks],
+          });
+        }
+        return;
+      }
+
+      group.tasks.forEach((task) => {
+        const el = refs.current[task.id];
+        if (el && isTaskCompleted(task) && !state?.notified.includes(task.id)) {
+          delayConfetti(el, 40);
+          // Update the state to include the task as notified
+          updateState({ notified: [...(state?.notified || []), task.id] });
+        }
+      });
+    });
+  }, [
+    state?.completedSteps,
+    delayConfetti,
+    groups,
+    updateState,
+    state?.notified,
+    isGroupCompleted,
+    isTaskCompleted,
+  ]);
+
+  return (
+    <div className="space-y-2">
+      {groups.map((group) => (
+        <div
+          key={group.name}
+          ref={setRef(group.name)}
+          className="mt-3 overflow-hidden rounded-lg border border-zinc-200 bg-zinc-100"
+        >
+          {/* Group Header */}
+          <div
+            className="flex cursor-pointer items-center justify-between p-3"
+            onClick={() => toggleGroup(group.name)}
+          >
+            {/* Name and completed count */}
+            <div className="flex-1">
+              <div className="text-sm font-medium text-zinc-900">
+                {group.name}
+              </div>
+              <div className="mt-1 text-xs font-normal leading-tight text-zinc-500">
+                {getCompletedCount(group.tasks)} of {group.tasks.length}{" "}
+                completed
+              </div>
+            </div>
+            {/* Reward and chevron */}
+            <div className="flex items-center gap-2">
+              {isGroupCompleted(group) ? (
+                <div className="rounded-full bg-green-200 px-2.5 py-0.5 font-sans text-xs font-medium text-green-700">
+                  Done
+                </div>
+              ) : (
+                <div className="text-xs font-medium leading-tight text-violet-600">
+                  $
+                  {group.tasks
+                    .reduce((sum, task) => sum + task.amount, 0)
+                    .toFixed(2)}
+                </div>
+              )}
+              <ChevronDown
+                className={`h-5 w-5 text-slate-950 transition-transform duration-300 ease-in-out ${group.isOpen ? "rotate-180" : ""}`}
+              />
+            </div>
+          </div>
+
+          {/* Tasks */}
+          <div
+            className={cn(
+              "overflow-hidden transition-all duration-300 ease-in-out",
+              group.isOpen || !isGroupCompleted(group)
+                ? "max-h-[1000px] opacity-100"
+                : "max-h-0 opacity-0",
+            )}
+          >
+            {group.tasks.map((task) => (
+              <div
+                key={task.id}
+                ref={setRef(task.id)}
+                className="mx-3 border-t border-zinc-300 px-1 pb-1 pt-3"
+              >
+                <div className="mb-2 flex items-center justify-between">
+                  {/* Checkmark and name */}
+                  <div className="flex items-center gap-2">
+                    <div
+                      className={cn(
+                        "flex h-4 w-4 items-center justify-center rounded-full border",
+                        isTaskCompleted(task)
+                          ? "border-emerald-600"
+                          : "border-zinc-600",
+                      )}
+                    >
+                      {isTaskCompleted(task) && (
+                        <Check className="h-3 w-3 text-emerald-600" />
+                      )}
+                    </div>
+                    <span
+                      className={cn(
+                        "text-sm font-normal",
+                        isTaskCompleted(task)
+                          ? "text-zinc-500 line-through"
+                          : "text-zinc-800",
+                      )}
+                    >
+                      {task.name}
+                    </span>
+                  </div>
+                  {/* Reward */}
+                  {task.amount > 0 && (
+                    <span
+                      className={cn(
+                        "text-xs font-normal text-zinc-500",
+                        isTaskCompleted(task) ? "line-through" : "",
+                      )}
+                    >
+                      ${task.amount.toFixed(2)}
+                    </span>
+                  )}
+                </div>
+
+                {/* Details section */}
+                {!isGroupCompleted(group) && (
+                  <>
+                    <div
+                      className={cn(
+                        "overflow-hidden pl-6 text-xs font-normal text-zinc-500 transition-all duration-300 ease-in-out",
+                        isTaskCompleted(task) && "line-through",
+                        group.isOpen
+                          ? "max-h-[100px] opacity-100"
+                          : "max-h-0 opacity-0",
+                      )}
+                    >
+                      {task.details}
+                    </div>
+                    {task.video ? (
+                      <div
+                        className={cn(
+                          "relative mx-6 aspect-video overflow-hidden rounded-lg transition-all duration-300 ease-in-out",
+                          group.isOpen
+                            ? "my-2 max-h-[200px] opacity-100"
+                            : "max-h-0 opacity-0",
+                        )}
+                      >
+                        <video
+                          src={task.video}
+                          autoPlay
+                          loop
+                          muted
+                          playsInline
+                          className={cn(
+                            "h-full w-full object-cover object-center",
+                            isTaskCompleted(task) && "grayscale",
+                          )}
+                        ></video>
+                      </div>
+                    ) : (
+                      <div className="mb-1" />
+                    )}
+                  </>
+                )}
+              </div>
+            ))}
+          </div>
+        </div>
+      ))}
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/onboarding/onboarding-provider.tsx b/autogpt_platform/frontend/src/components/onboarding/onboarding-provider.tsx
new file mode 100644
index 000000000000..939829fa4c4f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/onboarding/onboarding-provider.tsx
@@ -0,0 +1,222 @@
+"use client";
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { OnboardingStep, UserOnboarding } from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { useOnboardingTimezoneDetection } from "@/hooks/useOnboardingTimezoneDetection";
+import Link from "next/link";
+import { usePathname, useRouter } from "next/navigation";
+import {
+  createContext,
+  ReactNode,
+  useCallback,
+  useContext,
+  useEffect,
+  useState,
+} from "react";
+
+const OnboardingContext = createContext<
+  | {
+      state: UserOnboarding | null;
+      updateState: (
+        state: Omit<Partial<UserOnboarding>, "rewardedFor">,
+      ) => void;
+      step: number;
+      setStep: (step: number) => void;
+      completeStep: (step: OnboardingStep) => void;
+      incrementRuns: () => void;
+    }
+  | undefined
+>(undefined);
+
+export function useOnboarding(step?: number, completeStep?: OnboardingStep) {
+  const context = useContext(OnboardingContext);
+  if (!context)
+    throw new Error("useOnboarding must be used within an OnboardingProvider");
+
+  useEffect(() => {
+    if (
+      !completeStep ||
+      !context.state ||
+      !context.state.completedSteps ||
+      context.state.completedSteps.includes(completeStep)
+    )
+      return;
+
+    context.updateState({
+      completedSteps: [...context.state.completedSteps, completeStep],
+    });
+  }, [completeStep, context, context.updateState]);
+
+  useEffect(() => {
+    if (step && context.step !== step) {
+      context.setStep(step);
+    }
+  }, [step, context]);
+
+  return context;
+}
+
+export default function OnboardingProvider({
+  children,
+}: {
+  children: ReactNode;
+}) {
+  const [state, setState] = useState<UserOnboarding | null>(null);
+  // Step is used to control the progress bar, it's frontend only
+  const [step, setStep] = useState(1);
+  const [npsDialogOpen, setNpsDialogOpen] = useState(false);
+  const api = useBackendAPI();
+  const pathname = usePathname();
+  const router = useRouter();
+  const { user, isUserLoading } = useSupabase();
+
+  // Automatically detect and set timezone for new users during onboarding
+  useOnboardingTimezoneDetection();
+
+  useEffect(() => {
+    const fetchOnboarding = async () => {
+      try {
+        const enabled = await api.isOnboardingEnabled();
+        if (!enabled && pathname.startsWith("/onboarding")) {
+          router.push("/marketplace");
+          return;
+        }
+        const onboarding = await api.getUserOnboarding();
+
+        // Only update state if onboarding data is valid
+        if (onboarding) {
+          setState((prev) => ({ ...onboarding, ...prev }));
+
+          // Redirect outside onboarding if completed
+          // If user did CONGRATS step, that means they completed introductory onboarding
+          if (
+            onboarding.completedSteps &&
+            onboarding.completedSteps.includes("CONGRATS") &&
+            pathname.startsWith("/onboarding") &&
+            !pathname.startsWith("/onboarding/reset")
+          ) {
+            router.push("/marketplace");
+          }
+        }
+      } catch (error) {
+        console.error("Failed to fetch onboarding data:", error);
+        // Don't update state on error to prevent null access issues
+      }
+    };
+    if (isUserLoading || !user) {
+      return;
+    }
+    fetchOnboarding();
+  }, [api, pathname, router, user, isUserLoading]);
+
+  const updateState = useCallback(
+    (newState: Omit<Partial<UserOnboarding>, "rewardedFor">) => {
+      setState((prev) => {
+        if (!prev) {
+          // Handle initial state
+          return {
+            completedSteps: [],
+            notificationDot: false,
+            notified: [],
+            rewardedFor: [],
+            usageReason: null,
+            integrations: [],
+            otherIntegrations: null,
+            selectedStoreListingVersionId: null,
+            agentInput: null,
+            onboardingAgentExecutionId: null,
+            agentRuns: 0,
+            ...newState,
+          };
+        }
+        return { ...prev, ...newState };
+      });
+
+      // Make the API call asynchronously to not block render
+      setTimeout(() => {
+        api.updateUserOnboarding(newState).catch((error) => {
+          console.error("Failed to update user onboarding:", error);
+        });
+      }, 0);
+    },
+    [api],
+  );
+
+  const completeStep = useCallback(
+    (step: OnboardingStep) => {
+      if (
+        !state ||
+        !state.completedSteps ||
+        state.completedSteps.includes(step)
+      )
+        return;
+
+      updateState({
+        completedSteps: [...state.completedSteps, step],
+      });
+    },
+    [state, updateState],
+  );
+
+  const incrementRuns = useCallback(() => {
+    if (
+      !state ||
+      !state.completedSteps ||
+      state.completedSteps.includes("RUN_AGENTS")
+    )
+      return;
+
+    const finished = state.agentRuns + 1 >= 10;
+    setNpsDialogOpen(finished);
+    updateState({
+      agentRuns: state.agentRuns + 1,
+      ...(finished && {
+        completedSteps: [...state.completedSteps, "RUN_AGENTS"],
+      }),
+    });
+  }, [state, updateState]);
+
+  return (
+    <OnboardingContext.Provider
+      value={{ state, updateState, step, setStep, completeStep, incrementRuns }}
+    >
+      <Dialog onOpenChange={setNpsDialogOpen} open={npsDialogOpen}>
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>We&apos;d love your feedback</DialogTitle>
+            <DialogDescription>
+              You&apos;ve run 10 agents — amazing! We&apos;re constantly
+              improving the platform, and your thoughts help shape what we build
+              next. This 1-minute form is just a few quick questions to share
+              how things are going.
+            </DialogDescription>
+          </DialogHeader>
+          <DialogFooter className="justify-end">
+            <Button
+              type="button"
+              variant="outline"
+              onClick={() => setNpsDialogOpen(false)}
+            >
+              Cancel
+            </Button>
+            <Link href="https://tally.so/r/w4El0b" target="_blank">
+              <Button type="button" onClick={() => setNpsDialogOpen(false)}>
+                Give Feedback
+              </Button>
+            </Link>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
+      {children}
+    </OnboardingContext.Provider>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/overview.stories.tsx b/autogpt_platform/frontend/src/components/overview.stories.tsx
new file mode 100644
index 000000000000..b842b043dc14
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/overview.stories.tsx
@@ -0,0 +1,465 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import Image from "next/image";
+
+function RightArrow() {
+  return (
+    <svg
+      viewBox="0 0 14 14"
+      width="8px"
+      height="14px"
+      className="ml-1 inline-block fill-current"
+    >
+      <path d="m11.1 7.35-5.5 5.5a.5.5 0 0 1-.7-.7L10.04 7 4.9 1.85a.5.5 0 1 1 .7-.7l5.5 5.5c.2.2.2.5 0 .7Z" />
+    </svg>
+  );
+}
+
+function OverviewComponent() {
+  const linkStyle = "font-bold text-blue-600 hover:text-blue-800";
+  return (
+    <div className="mx-auto max-w-6xl space-y-24 p-8">
+      {/* Header Section */}
+      <div className="space-y-8">
+        <div className="space-y-4">
+          <h1 className="text-4xl font-bold text-gray-900">
+            AutoGPT Design System
+          </h1>
+          <p className="text-xl leading-relaxed text-gray-600">
+            Welcome to the AutoGPT Design System - a comprehensive collection of
+            reusable components, design tokens, and guidelines that power the
+            AutoGPT Platform. This system ensures consistency, accessibility,
+            and efficiency across all our user interfaces.
+          </p>
+          <div className="inline-flex items-center">
+            <strong className="text-lg">
+              <a
+                href="https://www.figma.com/design/nO9NFynNuicLtkiwvOxrbz/AutoGPT-Design-System?node-id=3-2083&m=dev"
+                target="_blank"
+                rel="noopener noreferrer"
+                className={`${linkStyle} text-md`}
+              >
+                📋 Figma Reference
+              </a>
+            </strong>
+          </div>
+        </div>
+
+        {/* Foundation Cards */}
+        <div className="grid grid-cols-1 gap-6 md:grid-cols-3">
+          <div className="flex flex-col space-y-4">
+            <Image
+              src="/storybook/tokens.png"
+              alt="Design tokens representing colors, typography, and spacing"
+              width={0}
+              height={0}
+              className="h-auto w-4/5 rounded-lg"
+            />
+            <h4 className="text-lg font-bold text-gray-900">Design Tokens</h4>
+            <p className="text-sm leading-relaxed text-gray-600">
+              The foundation of our design system. Tokens define colors,
+              typography, spacing, shadows, and other visual properties that
+              ensure consistency across all components and layouts.
+            </p>
+            <a
+              href="?path=/docs/design-tokens--docs"
+              className={`inline-flex items-center text-sm ${linkStyle}`}
+            >
+              Explore Tokens
+              <RightArrow />
+            </a>
+          </div>
+
+          <div className="flex flex-col space-y-4">
+            <Image
+              src="/storybook/atoms.png"
+              alt="Basic UI elements like buttons, inputs, and icons"
+              width={0}
+              height={0}
+              className="h-auto w-4/5 rounded-lg"
+            />
+            <h4 className="text-lg font-bold text-gray-900">Atoms</h4>
+            <p className="text-sm leading-relaxed text-gray-600">
+              The smallest building blocks of our interface. Atoms include
+              buttons, inputs, icons, labels, and other fundamental UI elements
+              that cannot be broken down further.
+            </p>
+            <a
+              href="?path=/docs/atoms--docs"
+              className={`inline-flex items-center text-sm ${linkStyle}`}
+            >
+              View Atoms
+              <RightArrow />
+            </a>
+          </div>
+
+          <div className="flex flex-col space-y-4">
+            <Image
+              src="/storybook/molecules.png"
+              alt="Combined UI components like cards, dropdowns, and search bars"
+              width={0}
+              height={0}
+              className="h-auto w-4/5 rounded-lg"
+            />
+            <h4 className="text-lg font-bold text-gray-900">Molecules</h4>
+            <p className="text-sm leading-relaxed text-gray-600">
+              Combinations of atoms that work together as a unit. Examples
+              include search bars, card components, dropdown menus, and other
+              composite UI elements.
+            </p>
+            <a
+              href="?path=/docs/molecules--docs"
+              className={`inline-flex items-center text-sm ${linkStyle}`}
+            >
+              Browse Molecules
+              <RightArrow />
+            </a>
+          </div>
+        </div>
+      </div>
+
+      {/* Technical Foundation */}
+      <div className="space-y-8">
+        <div className="space-y-4">
+          <h2 className="text-3xl font-bold text-gray-900">
+            Technical Foundation
+          </h2>
+          <p className="text-lg text-gray-600">
+            Our design system is built on proven technologies while maintaining
+            strict design consistency through custom tokens and components.
+          </p>
+        </div>
+
+        <div className="grid grid-cols-1 gap-12 md:grid-cols-3">
+          <div className="space-y-4">
+            <h4 className="text-lg font-semibold text-gray-900">
+              🎨 Built with Tailwind & shadcn/ui
+            </h4>
+            <p className="text-sm leading-relaxed text-gray-600">
+              The AutoGPT Design System leverages{" "}
+              <a
+                href="https://tailwindcss.com/"
+                target="_blank"
+                rel="noopener noreferrer"
+                className={linkStyle}
+              >
+                Tailwind CSS
+              </a>{" "}
+              for utility-first styling and{" "}
+              <a
+                href="https://ui.shadcn.com/"
+                target="_blank"
+                rel="noopener noreferrer"
+                className={linkStyle}
+              >
+                shadcn/ui
+              </a>{" "}
+              as a foundation for accessible, well-tested components.
+            </p>
+          </div>
+
+          <div className="space-y-4">
+            <h4 className="text-lg font-semibold text-gray-900">
+              🔧 Why This Matters
+            </h4>
+            <ul className="space-y-2 text-sm text-gray-600">
+              <li>
+                <strong>Visual Consistency:</strong> All interfaces look and
+                feel cohesive
+              </li>
+              <li>
+                <strong>Accessibility:</strong> Our tokens include proper
+                contrast ratios and focus states
+              </li>
+              <li>
+                <strong>Brand Compliance:</strong> All colors and styles match
+                AutoGPT&apos;s brand
+              </li>
+            </ul>
+          </div>
+          <div className="space-y-4">
+            <h4 className="text-lg font-semibold text-gray-900">
+              📚 Getting Started
+            </h4>
+            <ol className="list-decimal space-y-2 text-sm text-gray-600">
+              <li>
+                Review the Design Tokens, Atoms,Molecules and Contextual
+                Components for your use case
+              </li>
+              <li>
+                If you need something new,{" "}
+                <a
+                  href="https://github.com/Significant-Gravitas/AutoGPT/issues/new?template=design-system.md"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className={linkStyle}
+                >
+                  create an issue first
+                </a>{" "}
+                and get feedback
+              </li>
+              <li>
+                Always test your changes and ensure it renders well on all
+                screen sizes
+              </li>
+            </ol>
+          </div>
+        </div>
+      </div>
+
+      {/* Contributing Section */}
+      <div className="space-y-8">
+        <div className="space-y-4">
+          <h2 className="text-3xl font-bold text-gray-900">
+            Contributing to the Design System
+          </h2>
+          <p className="text-lg text-gray-600">
+            Help us improve and expand the AutoGPT Design System. Whether
+            you&apos;re fixing bugs, adding new components, or enhancing
+            existing ones, your contributions are valuable to the community.
+          </p>
+        </div>
+
+        <div className="relative rounded-xl bg-gradient-to-r from-blue-50 via-purple-50 to-pink-50 p-6">
+          <div className="absolute inset-0 rounded-xl bg-gradient-to-r from-blue-500 via-purple-500 to-pink-500 p-[2px]">
+            <div className="h-full w-full rounded-xl bg-white"></div>
+          </div>
+          <div className="relative space-y-6">
+            <div className="text-center">
+              <h4 className="bg-gradient-to-r from-blue-600 via-purple-600 to-pink-600 bg-clip-text text-xl font-bold text-transparent">
+                ⚠️ Design System Guidelines
+              </h4>
+              <p className="mt-2 text-gray-700">
+                Contributors must <strong>ONLY</strong> use the design tokens
+                and components defined in this system
+              </p>
+            </div>
+
+            <div className="grid gap-6 md:grid-cols-2">
+              <div className="space-y-4">
+                <h5 className="text-lg font-semibold text-red-600">
+                  ❌ Don&apos;t Do This
+                </h5>
+                <div className="space-y-3">
+                  <div>
+                    <p className="mb-2 text-sm font-medium text-gray-700">
+                      Default Tailwind classes:
+                    </p>
+                    <pre className="overflow-x-auto rounded-md bg-gray-100 p-3 text-sm">
+                      <code className="text-red-600">{`className="text-blue-500 p-4 bg-gray-200"`}</code>
+                    </pre>
+                  </div>
+                  <div>
+                    <p className="mb-2 text-sm font-medium text-gray-700">
+                      Arbitrary values:
+                    </p>
+                    <pre className="overflow-x-auto rounded-md bg-gray-100 p-3 text-sm">
+                      <code className="text-red-600">{`className="text-[#1234ff] w-[420px]"`}</code>
+                    </pre>
+                  </div>
+                </div>
+              </div>
+
+              <div className="space-y-4">
+                <h5 className="text-lg font-semibold text-green-600">
+                  ✅ Do This Instead
+                </h5>
+                <div className="space-y-3">
+                  <div>
+                    <p className="mb-2 text-sm font-medium text-gray-700">
+                      Design tokens:
+                    </p>
+                    <pre className="overflow-x-auto rounded-md bg-gray-100 p-3 text-sm">
+                      <code className="text-green-600">{`className="text-primary bg-surface space-4"`}</code>
+                    </pre>
+                  </div>
+                  <div>
+                    <p className="mb-2 text-sm font-medium text-gray-700">
+                      System components:
+                    </p>
+                    <pre className="overflow-x-auto rounded-md bg-gray-100 p-3 text-sm">
+                      <code className="text-green-600">{`<Button variant="primary" size="md">
+  Click me
+</Button>`}</code>
+                    </pre>
+                  </div>
+                </div>
+              </div>
+            </div>
+          </div>
+        </div>
+
+        <div className="grid grid-cols-1 gap-6 md:grid-cols-2">
+          <div className="space-y-4">
+            <h4 className="text-lg font-semibold text-gray-900">
+              🧢 Development Workflow
+            </h4>
+            <p className="text-md leading-relaxed text-gray-600">
+              All design system changes should follow our established workflow
+              to ensure quality and consistency.
+            </p>
+            <div className="text-md space-y-4">
+              <div>
+                <strong className="text-gray-900">
+                  For External Contributors:
+                </strong>
+                <ol className="mt-2 list-decimal space-y-1 pl-4 text-gray-600">
+                  <li>
+                    Create a GitHub issue first to discuss your proposed changes
+                  </li>
+                  <li>
+                    Wait for maintainer approval before starting development
+                  </li>
+                  <li>Fork the repository and create a feature branch</li>
+                  <li>Implement changes following our coding standards</li>
+                  <li>Submit a pull request with detailed description</li>
+                </ol>
+              </div>
+              <div>
+                <strong className="text-gray-900">
+                  For Internal Team Members:
+                </strong>
+                <ol className="mt-2 list-decimal space-y-1 pl-4 text-gray-600">
+                  <li>Create a feature branch from main</li>
+                  <li>Implement changes and update Storybook documentation</li>
+                  <li>Test components across different scenarios</li>
+                  <li>Submit pull request for team review</li>
+                </ol>
+              </div>
+            </div>
+          </div>
+
+          <div className="space-y-4">
+            <h4 className="text-lg font-semibold text-gray-900">
+              📋 Component Guidelines
+            </h4>
+            <p className="text-md leading-relaxed text-gray-600">
+              Follow these principles when creating or modifying components:
+            </p>
+            <ul className="text-md space-y-2 text-gray-600">
+              <li>
+                <strong className="text-gray-900">Accessibility First</strong>
+                <ul>
+                  <li>
+                    All components must meet{" "}
+                    <a
+                      href="https://www.w3.org/WAI/standards-guidelines/wcag/"
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className={`${linkStyle} font-semibold`}
+                    >
+                      WCAG 2.1 AA standards
+                    </a>
+                  </li>
+                </ul>
+              </li>
+              <li>
+                <strong className="text-gray-900">Design Token Usage</strong>
+                <ul>
+                  <li>Use design tokens for all styling properties</li>
+                </ul>
+              </li>
+              <li>
+                <strong className="text-gray-900">Responsive Design</strong>
+                <ul>
+                  <li>Components should work across all screen sizes</li>
+                </ul>
+              </li>
+              <li>
+                <strong className="text-gray-900">TypeScript</strong>
+                <ul>
+                  <li>All components must be fully typed</li>
+                </ul>
+              </li>
+              <li>
+                <strong className="text-gray-900">Documentation</strong>
+                <ul>
+                  <li>
+                    Include comprehensive Storybook stories and JSDoc comments
+                  </li>
+                </ul>
+              </li>
+              <li>
+                <strong className="text-gray-900">Testing</strong>
+                <ul>
+                  <li>Write unit tests for component logic and interactions</li>
+                </ul>
+              </li>
+            </ul>
+          </div>
+        </div>
+      </div>
+
+      {/* Social Links */}
+      <div className="space-y-8">
+        <h3 className="text-3xl font-bold text-gray-900">Get Involved</h3>
+        <p className="text-md leading-relaxed text-gray-600">
+          Join the AutoGPT community and help build the future of AI automation.
+        </p>
+        <div className="grid grid-cols-1 gap-6 md:grid-cols-4">
+          {[
+            {
+              icon: "/storybook/github.svg",
+              title:
+                "Contribute to the AutoGPT Platform and help build the future of AI automation.",
+              link: "https://github.com/Significant-Gravitas/AutoGPT",
+              linkText: "Star on GitHub",
+            },
+            {
+              icon: "/storybook/discord.svg",
+              title: "Get support and chat with the AutoGPT community.",
+              link: "https://discord.gg/autogpt",
+              linkText: "Join Discord",
+            },
+            {
+              icon: "/storybook/youtube.svg",
+              title: "Watch AutoGPT tutorials and feature demonstrations.",
+              link: "https://www.youtube.com/@AutoGPT-Official",
+              linkText: "Watch on YouTube",
+            },
+            {
+              icon: "/storybook/docs.svg",
+              title: "Read the complete platform documentation and guides.",
+              link: "https://docs.agpt.co",
+              linkText: "View Documentation",
+            },
+          ].map((item, index) => (
+            <div key={index} className="space-y-4">
+              <Image
+                src={item.icon}
+                alt={`${item.linkText} logo`}
+                width={32}
+                height={32}
+                className="h-8 w-8"
+              />
+              <p className="text-sm leading-relaxed text-gray-600">
+                {item.title}
+              </p>
+              <a
+                href={item.link}
+                target="_blank"
+                rel="noopener noreferrer"
+                className="inline-flex items-center text-sm text-blue-600 hover:text-blue-800"
+              >
+                {item.linkText}
+                <RightArrow />
+              </a>
+            </div>
+          ))}
+        </div>
+      </div>
+    </div>
+  );
+}
+
+const meta: Meta<typeof OverviewComponent> = {
+  title: "Overview",
+  component: OverviewComponent,
+  parameters: {
+    layout: "fullscreen",
+  },
+};
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+export const Default: Story = {};
diff --git a/autogpt_platform/frontend/src/components/runner-ui/RunnerInputBlock.tsx b/autogpt_platform/frontend/src/components/runner-ui/RunnerInputBlock.tsx
deleted file mode 100644
index 30b7dc8ba72c..000000000000
--- a/autogpt_platform/frontend/src/components/runner-ui/RunnerInputBlock.tsx
+++ /dev/null
@@ -1,66 +0,0 @@
-import React from "react";
-import { Input } from "@/components/ui/input";
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from "@/components/ui/select";
-
-interface InputBlockProps {
-  id: string;
-  name: string;
-  description?: string;
-  value: string;
-  placeholder_values?: any[];
-  onInputChange: (id: string, field: string, value: string) => void;
-}
-
-export function InputBlock({
-  id,
-  name,
-  description,
-  value,
-  placeholder_values,
-  onInputChange,
-}: InputBlockProps) {
-  return (
-    <div className="space-y-1">
-      <h3 className="text-base font-semibold">{name || "Unnamed Input"}</h3>
-      {description && <p className="text-sm text-gray-600">{description}</p>}
-      <div>
-        {placeholder_values && placeholder_values.length > 1 ? (
-          <Select
-            onValueChange={(value) => onInputChange(id, "value", value)}
-            value={value}
-          >
-            <SelectTrigger className="w-full">
-              <SelectValue placeholder="Select a value" />
-            </SelectTrigger>
-            <SelectContent>
-              {placeholder_values.map((placeholder, index) => (
-                <SelectItem
-                  key={index}
-                  value={placeholder.toString()}
-                  data-testid={`run-dialog-input-${name}-${placeholder.toString()}`}
-                >
-                  {placeholder.toString()}
-                </SelectItem>
-              ))}
-            </SelectContent>
-          </Select>
-        ) : (
-          <Input
-            id={`${id}-Value`}
-            data-testid={`run-dialog-input-${name}`}
-            value={value}
-            onChange={(e) => onInputChange(id, "value", e.target.value)}
-            placeholder={placeholder_values?.[0]?.toString() || "Enter value"}
-            className="w-full"
-          />
-        )}
-      </div>
-    </div>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/runner-ui/RunnerInputList.tsx b/autogpt_platform/frontend/src/components/runner-ui/RunnerInputList.tsx
deleted file mode 100644
index abf052397931..000000000000
--- a/autogpt_platform/frontend/src/components/runner-ui/RunnerInputList.tsx
+++ /dev/null
@@ -1,33 +0,0 @@
-import React from "react";
-import { ScrollArea } from "@/components/ui/scroll-area";
-import { InputBlock } from "./RunnerInputBlock";
-import { BlockInput } from "./RunnerInputUI";
-
-interface InputListProps {
-  blockInputs: BlockInput[];
-  onInputChange: (nodeId: string, field: string, value: string) => void;
-}
-
-export function InputList({ blockInputs, onInputChange }: InputListProps) {
-  return (
-    <ScrollArea className="h-[20vh] overflow-auto pr-4 sm:h-[30vh] md:h-[40vh] lg:h-[50vh]">
-      <div className="space-y-4">
-        {blockInputs && blockInputs.length > 0 ? (
-          blockInputs.map((block) => (
-            <InputBlock
-              key={block.id}
-              id={block.id}
-              name={block.hardcodedValues.name}
-              description={block.hardcodedValues.description}
-              value={block.hardcodedValues.value?.toString() || ""}
-              placeholder_values={block.hardcodedValues.placeholder_values}
-              onInputChange={onInputChange}
-            />
-          ))
-        ) : (
-          <p>No input blocks available.</p>
-        )}
-      </div>
-    </ScrollArea>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/runner-ui/RunnerInputUI.tsx b/autogpt_platform/frontend/src/components/runner-ui/RunnerInputUI.tsx
index 9dc6498491b3..441a4ffb895f 100644
--- a/autogpt_platform/frontend/src/components/runner-ui/RunnerInputUI.tsx
+++ b/autogpt_platform/frontend/src/components/runner-ui/RunnerInputUI.tsx
@@ -1,88 +1,90 @@
-import React from "react";
+import React, { useCallback } from "react";
+
+import type {
+  CredentialsMetaInput,
+  GraphMeta,
+} from "@/lib/autogpt-server-api/types";
 import {
   Dialog,
   DialogContent,
   DialogHeader,
   DialogTitle,
   DialogDescription,
-  DialogFooter,
 } from "@/components/ui/dialog";
-import { Button } from "@/components/ui/button";
-import { BlockIORootSchema } from "@/lib/autogpt-server-api/types";
-import { InputList } from "./RunnerInputList";
-
-export interface BlockInput {
-  id: string;
-  inputSchema: BlockIORootSchema;
-  hardcodedValues: {
-    name: string;
-    description: string;
-    value: any;
-    placeholder_values?: any[];
-    limit_to_placeholder_values?: boolean;
-  };
-}
+import { AgentRunDraftView } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view";
 
-interface RunSettingsUiProps {
+interface RunInputDialogProps {
   isOpen: boolean;
-  onClose: () => void;
-  blockInputs: BlockInput[];
-  onInputChange: (nodeId: string, field: string, value: string) => void;
-  onRun: () => void;
-  onSchedule: () => Promise<void>;
-  scheduledInput: boolean;
-  isScheduling: boolean;
-  isRunning: boolean;
+  doClose: () => void;
+  graph: GraphMeta;
+  doRun?: (
+    inputs: Record<string, any>,
+    credentialsInputs: Record<string, CredentialsMetaInput>,
+  ) => Promise<void> | void;
+  doCreateSchedule?: (
+    cronExpression: string,
+    scheduleName: string,
+    inputs: Record<string, any>,
+    credentialsInputs: Record<string, CredentialsMetaInput>,
+  ) => Promise<void> | void;
 }
 
-export function RunnerInputUI({
+export function RunnerInputDialog({
   isOpen,
-  onClose,
-  blockInputs,
-  isScheduling,
-  onInputChange,
-  onRun,
-  onSchedule,
-  scheduledInput,
-  isRunning,
-}: RunSettingsUiProps) {
-  const handleRun = () => {
-    onRun();
-    onClose();
-  };
+  doClose,
+  graph,
+  doRun,
+  doCreateSchedule,
+}: RunInputDialogProps) {
+  const handleRun = useCallback(
+    doRun
+      ? async (
+          inputs: Record<string, any>,
+          credentials_inputs: Record<string, CredentialsMetaInput>,
+        ) => {
+          await doRun(inputs, credentials_inputs);
+          doClose();
+        }
+      : async () => {},
+    [doRun, doClose],
+  );
 
-  const handleSchedule = async () => {
-    onClose();
-    await onSchedule();
-  };
+  const handleSchedule = useCallback(
+    doCreateSchedule
+      ? async (
+          cronExpression: string,
+          scheduleName: string,
+          inputs: Record<string, any>,
+          credentialsInputs: Record<string, CredentialsMetaInput>,
+        ) => {
+          await doCreateSchedule(
+            cronExpression,
+            scheduleName,
+            inputs,
+            credentialsInputs,
+          );
+          doClose();
+        }
+      : async () => {},
+    [doCreateSchedule, doClose],
+  );
 
   return (
-    <Dialog open={isOpen} onOpenChange={onClose}>
-      <DialogContent className="flex max-h-[80vh] flex-col overflow-hidden sm:max-w-[400px] md:max-w-[500px] lg:max-w-[600px]">
-        <DialogHeader className="px-4 py-4">
-          <DialogTitle className="text-2xl">
-            {scheduledInput ? "Schedule Settings" : "Run Settings"}
-          </DialogTitle>
-          <DialogDescription className="mt-2 text-sm">
-            Configure settings for running your agent.
-          </DialogDescription>
+    <Dialog open={isOpen} onOpenChange={doClose}>
+      <DialogContent className="flex w-[90vw] max-w-4xl flex-col p-10">
+        <DialogHeader>
+          <DialogTitle className="text-2xl">Run your agent</DialogTitle>
+          <DialogDescription className="mt-2">{graph.name}</DialogDescription>
         </DialogHeader>
-        <div className="flex-grow overflow-y-auto px-4 py-4">
-          <InputList blockInputs={blockInputs} onInputChange={onInputChange} />
-        </div>
-        <DialogFooter className="px-6 py-4">
-          <Button
-            data-testid="run-dialog-run-button"
-            onClick={scheduledInput ? handleSchedule : handleRun}
-            className="px-8 py-2 text-lg"
-            disabled={scheduledInput ? isScheduling : isRunning}
-          >
-            {scheduledInput ? "Schedule" : isRunning ? "Running..." : "Run"}
-          </Button>
-        </DialogFooter>
+        <AgentRunDraftView
+          className="p-0"
+          graph={graph}
+          doRun={doRun ? handleRun : undefined}
+          onRun={doRun ? undefined : doClose}
+          doCreateSchedule={doCreateSchedule ? handleSchedule : undefined}
+          onCreateSchedule={doCreateSchedule ? undefined : doClose}
+        />
       </DialogContent>
     </Dialog>
   );
 }
-
-export default RunnerInputUI;
diff --git a/autogpt_platform/frontend/src/components/runner-ui/RunnerOutputUI.tsx b/autogpt_platform/frontend/src/components/runner-ui/RunnerOutputUI.tsx
index 3eed43cd6cac..b8f03cdc6486 100644
--- a/autogpt_platform/frontend/src/components/runner-ui/RunnerOutputUI.tsx
+++ b/autogpt_platform/frontend/src/components/runner-ui/RunnerOutputUI.tsx
@@ -1,4 +1,4 @@
-import React, { useEffect, useRef } from "react";
+import React from "react";
 import {
   Sheet,
   SheetContent,
@@ -7,26 +7,25 @@ import {
   SheetDescription,
 } from "@/components/ui/sheet";
 import { ScrollArea } from "@/components/ui/scroll-area";
-import { BlockIORootSchema } from "@/lib/autogpt-server-api/types";
 import { Label } from "@/components/ui/label";
 import { Textarea } from "@/components/ui/textarea";
 import { Button } from "@/components/ui/button";
 import { Clipboard } from "lucide-react";
-import { useToast } from "@/components/ui/use-toast";
+import { useToast } from "@/components/molecules/Toast/use-toast";
 
-export interface BlockOutput {
-  id: string;
-  hardcodedValues: {
+export type OutputNodeInfo = {
+  metadata: {
     name: string;
     description: string;
   };
   result?: any;
-}
+};
 
 interface OutputModalProps {
   isOpen: boolean;
-  onClose: () => void;
-  blockOutputs: BlockOutput[];
+  doClose: () => void;
+  outputs: OutputNodeInfo[];
+  graphExecutionError?: string | null;
 }
 
 const formatOutput = (output: any): string => {
@@ -51,8 +50,9 @@ const formatOutput = (output: any): string => {
 
 export function RunnerOutputUI({
   isOpen,
-  onClose,
-  blockOutputs,
+  doClose,
+  outputs,
+  graphExecutionError,
 }: OutputModalProps) {
   const { toast } = useToast();
 
@@ -72,7 +72,7 @@ export function RunnerOutputUI({
   };
 
   return (
-    <Sheet open={isOpen} onOpenChange={onClose}>
+    <Sheet open={isOpen} onOpenChange={doClose}>
       <SheetContent
         side="right"
         className="flex h-full w-full flex-col overflow-hidden sm:max-w-[600px]"
@@ -86,16 +86,23 @@ export function RunnerOutputUI({
         <div className="flex-grow overflow-y-auto px-2 py-2">
           <ScrollArea className="h-full overflow-auto pr-4">
             <div className="space-y-4">
-              {blockOutputs && blockOutputs.length > 0 ? (
-                blockOutputs.map((block) => (
-                  <div key={block.id} className="space-y-1">
+              {graphExecutionError && (
+                <div className="rounded-md border border-red-200 bg-red-50 p-3 dark:border-red-800 dark:bg-red-900/20">
+                  <p className="text-sm text-red-800 dark:text-red-200">
+                    <strong>Error:</strong> {graphExecutionError}
+                  </p>
+                </div>
+              )}
+              {outputs && outputs.length > 0 ? (
+                outputs.map((output, i) => (
+                  <div key={i} className="space-y-1">
                     <Label className="text-base font-semibold">
-                      {block.hardcodedValues.name || "Unnamed Output"}
+                      {output.metadata.name || "Unnamed Output"}
                     </Label>
 
-                    {block.hardcodedValues.description && (
+                    {output.metadata.description && (
                       <Label className="block text-sm text-gray-600">
-                        {block.hardcodedValues.description}
+                        {output.metadata.description}
                       </Label>
                     )}
 
@@ -106,8 +113,8 @@ export function RunnerOutputUI({
                         size="icon"
                         onClick={() =>
                           copyOutput(
-                            block.hardcodedValues.name || "Unnamed Output",
-                            block.result,
+                            output.metadata.name || "Unnamed Output",
+                            output.result,
                           )
                         }
                         title="Copy Output"
@@ -116,7 +123,7 @@ export function RunnerOutputUI({
                       </Button>
                       <Textarea
                         readOnly
-                        value={formatOutput(block.result ?? "No output yet")}
+                        value={formatOutput(output.result ?? "No output yet")}
                         className="w-full resize-none whitespace-pre-wrap break-words border-none bg-transparent text-sm"
                         style={{
                           height: "auto",
diff --git a/autogpt_platform/frontend/src/components/styles/colors.ts b/autogpt_platform/frontend/src/components/styles/colors.ts
new file mode 100644
index 000000000000..24977ebca831
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/styles/colors.ts
@@ -0,0 +1,103 @@
+export const colors = {
+  slate: {
+    50: "#f0f1f3",
+    100: "#cfd4db",
+    200: "#b8bfca",
+    300: "#97a2b1",
+    400: "#8390a2",
+    500: "#64748b",
+    600: "#5b6a7e",
+    700: "#475263",
+    800: "#37404c",
+    900: "#2a313a",
+  },
+  zinc: {
+    50: "#f4f4f5",
+    100: "#e5e5e6",
+    200: "#cacace",
+    300: "#adadb3",
+    400: "#8d8d95",
+    500: "#71717a",
+    600: "#65656c",
+    700: "#505057",
+    800: "#3e3e43",
+    900: "#2C2C30",
+  },
+  red: {
+    50: "#fdecec",
+    100: "#fac5c5",
+    200: "#f8a9a9",
+    300: "#f48282",
+    400: "#f26969",
+    500: "#ef4444",
+    600: "#d93e3e",
+    700: "#aa3030",
+    800: "#832525",
+    900: "#641d1d",
+  },
+  orange: {
+    50: "#fff3e6",
+    100: "#ffdab0",
+    200: "#ffc88a",
+    300: "#feaf54",
+    400: "#fe9f33",
+    500: "#fe8700",
+    600: "#e77b00",
+    700: "#b46000",
+    800: "#8c4a00",
+    900: "#6b3900",
+  },
+  yellow: {
+    50: "#fef9e6",
+    100: "#fcebb0",
+    200: "#fae28a",
+    300: "#f8d554",
+    400: "#f7cd33",
+    500: "#f5c000",
+    600: "#dfaf00",
+    700: "#ae8800",
+    800: "#876a00",
+    900: "#675100",
+  },
+  green: {
+    50: "#e8f6ed",
+    100: "#b7e2c7",
+    200: "#94d5ac",
+    300: "#63c186",
+    400: "#45b56e",
+    500: "#16a34a",
+    600: "#149443",
+    700: "#107435",
+    800: "#0c5a29",
+    900: "#09441f",
+  },
+  purple: {
+    50: "#f1ebfe",
+    100: "#d5c0fc",
+    200: "#c0a1fa",
+    300: "#a476f8",
+    400: "#925cf7",
+    500: "#7733f5",
+    600: "#6c2edf",
+    700: "#5424ae",
+    800: "#411c87",
+    900: "#321567",
+  },
+  pink: {
+    50: "#fdedf5",
+    100: "#f9c6df",
+    200: "#f6abd0",
+    300: "#f284bb",
+    400: "#f06dad",
+    500: "#ec4899",
+    600: "#d7428b",
+    700: "#a8336d",
+    800: "#822854",
+    900: "#631e40",
+  },
+
+  // Special semantic colors
+  white: "#fefefe",
+  black: "#141414",
+  lightGrey: "#F3F4F6",
+};
diff --git a/autogpt_platform/frontend/src/components/styles/fonts.css b/autogpt_platform/frontend/src/components/styles/fonts.css
new file mode 100644
index 000000000000..a0ab7bef44a3
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/styles/fonts.css
@@ -0,0 +1,30 @@
+/* Google Fonts - Poppins (weights: 400, 500, 600, 700) */
+@import url("https://fonts.googleapis.com/css2?family=Poppins:wght@400;500;600;700&display=swap");
+
+/* Local Geist Fonts from node_modules */
+@font-face {
+  font-family: "Geist";
+  src: url("../../../node_modules/geist/dist/fonts/geist-sans/Geist-Variable.woff2")
+    format("woff2-variations");
+  font-weight: 100 900;
+  font-style: normal;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: "GeistMono";
+  src: url("../../../node_modules/geist/dist/fonts/geist-mono/GeistMono-Variable.woff2")
+    format("woff2-variations");
+  font-weight: 100 900;
+  font-style: normal;
+  font-display: swap;
+}
+
+/* CSS Variables matching config from fonts.ts */
+:root {
+  --font-poppins: "Poppins", sans-serif;
+  --font-geist-sans: "Geist", ui-sans-serif, system-ui, sans-serif;
+  --font-geist-mono:
+    "GeistMono", ui-monospace, "Cascadia Code", "Source Code Pro", Menlo,
+    Consolas, monospace;
+}
diff --git a/autogpt_platform/frontend/src/components/styles/fonts.ts b/autogpt_platform/frontend/src/components/styles/fonts.ts
new file mode 100644
index 000000000000..354086f31495
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/styles/fonts.ts
@@ -0,0 +1,17 @@
+import { Poppins } from "next/font/google";
+import { GeistSans as geistSans } from "geist/font/sans";
+import { GeistMono as geistMono } from "geist/font/mono";
+
+const poppins = Poppins({
+  subsets: ["latin"],
+  weight: ["400", "500", "600", "700"] as const,
+  variable: "--font-poppins",
+  display: "swap",
+  preload: true,
+});
+
+export const fonts = {
+  poppins,
+  sans: geistSans,
+  mono: geistMono,
+};
diff --git a/autogpt_platform/frontend/src/components/tokens/border-radius.stories.tsx b/autogpt_platform/frontend/src/components/tokens/border-radius.stories.tsx
new file mode 100644
index 000000000000..acf685a5a715
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/tokens/border-radius.stories.tsx
@@ -0,0 +1,266 @@
+import { Text } from "@/components/atoms/Text/Text";
+import type { Meta } from "@storybook/nextjs";
+import { SquareArrowOutUpRight } from "lucide-react";
+import { StoryCode } from "./helpers/StoryCode";
+
+const meta: Meta = {
+  title: "Tokens /Border Radius",
+  parameters: {
+    layout: "fullscreen",
+    controls: { disable: true },
+  },
+};
+
+export default meta;
+
+// Border radius scale data based on Figma design tokens
+// Custom naming convention: xsmall, small, medium, large, xlarge, 2xlarge, full
+const borderRadiusScale = [
+  {
+    name: "xsmall",
+    value: "0.25rem",
+    rem: "0.25rem",
+    px: "4px",
+    class: "rounded-xsmall",
+    description: "Extra small - for subtle rounding",
+  },
+  {
+    name: "small",
+    value: "0.5rem",
+    rem: "0.5rem",
+    px: "8px",
+    class: "rounded-small",
+    description: "Small - for cards and containers",
+  },
+  {
+    name: "medium",
+    value: "0.75rem",
+    rem: "0.75rem",
+    px: "12px",
+    class: "rounded-medium",
+    description: "Medium - for buttons and inputs",
+  },
+  {
+    name: "large",
+    value: "1rem",
+    rem: "1rem",
+    px: "16px",
+    class: "rounded-large",
+    description: "Large - for panels and modals",
+  },
+  {
+    name: "xlarge",
+    value: "1.25rem",
+    rem: "1.25rem",
+    px: "20px",
+    class: "rounded-xlarge",
+    description: "Extra large - for hero sections",
+  },
+  {
+    name: "2xlarge",
+    value: "1.5rem",
+    rem: "1.5rem",
+    px: "24px",
+    class: "rounded-2xlarge",
+    description: "2X large - for major containers",
+  },
+  {
+    name: "full",
+    value: "9999px",
+    rem: "9999px",
+    px: "9999px",
+    class: "rounded-full",
+    description: "Full - for pill buttons and circular elements",
+  },
+];
+
+export function AllVariants() {
+  return (
+    <div className="space-y-12">
+      {/* Border Radius System Documentation */}
+      <div className="space-y-8">
+        <div>
+          <Text variant="h1" className="mb-4 text-zinc-800">
+            Border Radius
+          </Text>
+          <Text variant="large" className="text-zinc-600">
+            Our border radius system uses a descriptive naming convention
+            (xsmall, small, medium, large, xlarge, 2xlarge, full) based on our
+            Figma design tokens. This creates visual hierarchy and maintains
+            design consistency across all components while avoiding conflicts
+            with Tailwind&apos;s built-in classes.
+          </Text>
+        </div>
+
+        <div className="grid gap-8 md:grid-cols-2">
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              Tailwind utilities
+            </Text>
+            <div className="space-y-4">
+              <div className="rounded-lg border border-gray-200 p-4">
+                <a
+                  href="https://tailwindcss.com/docs/border-radius"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="mb-2 inline-flex flex-row items-center gap-1 text-base font-semibold text-blue-600 hover:underline"
+                >
+                  Border Radius Classes{" "}
+                  <SquareArrowOutUpRight className="inline-block h-3 w-3" />
+                </a>
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  Used to round the corners of elements
+                </Text>
+                <div className="font-mono text-sm text-zinc-800">
+                  rounded-lg → border-radius: 0.5rem (8px)
+                </div>
+              </div>
+              <div className="rounded-lg border border-gray-200 p-4">
+                <Text
+                  variant="body-medium"
+                  className="mb-2 font-semibold text-zinc-800"
+                >
+                  Directional Classes
+                </Text>
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  Apply radius to specific corners or sides using our design
+                  tokens
+                </Text>
+                <div className="space-y-1 font-mono text-sm text-zinc-800">
+                  <div>rounded-t-m → top corners</div>
+                  <div>rounded-r-m → right corners</div>
+                  <div>rounded-b-m → bottom corners</div>
+                  <div>rounded-l-m → left corners</div>
+                </div>
+              </div>
+              <Text variant="body" className="mb-4 text-zinc-600">
+                We use a custom border radius system based on our Figma design
+                tokens, with descriptive naming (xsmall, small, medium, large,
+                xlarge, 2xlarge, full) that provides consistent radius values
+                optimized for our design system while avoiding conflicts with
+                Tailwind&apos;s built-in classes.
+              </Text>
+            </div>
+          </div>
+
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              FAQ
+            </Text>
+            <div className="space-y-4">
+              <Text
+                variant="h3"
+                className="mb-2 text-base font-semibold text-zinc-800"
+              >
+                🤔 Why use border radius tokens?
+              </Text>
+              <div className="space-y-3 text-zinc-600">
+                <Text variant="body">
+                  Always use radius classes instead of arbitrary values.
+                  Reasons:
+                </Text>
+                <ul className="ml-4 list-disc space-y-1 text-sm">
+                  <li>Ensures consistent corner rounding across components</li>
+                  <li>Creates visual hierarchy through systematic scaling</li>
+                  <li>Maintains design cohesion and brand consistency</li>
+                  <li>Easier to maintain and update globally</li>
+                  <li>Prevents inconsistent corner treatments</li>
+                </ul>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Complete Border Radius Scale */}
+      <div className="space-y-8">
+        <div>
+          <Text
+            variant="h2"
+            className="mb-2 text-xl font-semibold text-zinc-800"
+          >
+            Design System Border Radius Tokens
+          </Text>
+          <Text variant="body" className="mb-6 text-zinc-600">
+            All border radius values from our Figma design tokens. Each value
+            can be applied to all corners or specific corners/sides using our
+            descriptive naming convention (xsmall, small, medium, large, xlarge,
+            2xlarge, full).
+          </Text>
+        </div>
+
+        <div className="space-y-4">
+          {borderRadiusScale.map((radius) => (
+            <div
+              key={radius.name}
+              className="flex items-center rounded-lg border border-gray-200 p-4"
+            >
+              <div className="flex w-32 flex-col">
+                <Text variant="body-medium" className="font-mono text-zinc-800">
+                  {radius.name}
+                </Text>
+                <Text variant="small" className="font-mono text-zinc-500">
+                  {radius.class}
+                </Text>
+              </div>
+              <div className="flex w-32 flex-col text-right">
+                <p className="font-mono text-xs text-zinc-500">{radius.rem}</p>
+                <p className="font-mono text-xs text-zinc-500">{radius.px}</p>
+              </div>
+              <div className="ml-8 flex-1">
+                <div className="flex items-center gap-4">
+                  <div
+                    className="h-16 w-16 bg-blue-500"
+                    style={{ borderRadius: radius.value }}
+                  ></div>
+                  <div
+                    className="h-12 w-24 bg-green-500"
+                    style={{ borderRadius: radius.value }}
+                  ></div>
+                  <div
+                    className="h-8 w-32 bg-purple-500"
+                    style={{ borderRadius: radius.value }}
+                  ></div>
+                </div>
+              </div>
+            </div>
+          ))}
+        </div>
+
+        <StoryCode
+          code={`// Border radius examples - Design System Tokens
+<div className="rounded-xsmall">Extra small rounding (4px)</div>
+<div className="rounded-small">Small rounding (8px)</div>
+<div className="rounded-medium">Medium rounding (12px)</div>
+<div className="rounded-large">Large rounding (16px)</div>
+<div className="rounded-xlarge">Extra large rounding (20px)</div>
+<div className="rounded-2xlarge">2X large rounding (24px)</div>
+<div className="rounded-full">Pill buttons (circular)</div>
+
+// Directional rounding (works with all sizes)
+<div className="rounded-t-medium">Top corners only</div>
+<div className="rounded-r-medium">Right corners only</div>
+<div className="rounded-b-medium">Bottom corners only</div>
+<div className="rounded-l-medium">Left corners only</div>
+
+// Individual corners
+<div className="rounded-tl-medium">Top-left corner</div>
+<div className="rounded-tr-medium">Top-right corner</div>
+<div className="rounded-bl-medium">Bottom-left corner</div>
+<div className="rounded-br-medium">Bottom-right corner</div>
+
+// Usage recommendations
+<button className="rounded-full">Pill Button</button>
+<div className="rounded-medium">Card Container</div>
+<input className="rounded-small">Input Field</input>`}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/tokens/colors.stories.tsx b/autogpt_platform/frontend/src/components/tokens/colors.stories.tsx
new file mode 100644
index 000000000000..9eb3ba1ff050
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/tokens/colors.stories.tsx
@@ -0,0 +1,327 @@
+import { Text } from "@/components/atoms/Text/Text";
+import { colors } from "@/components/styles/colors";
+import type { Meta } from "@storybook/nextjs";
+import { StoryCode } from "./helpers/StoryCode";
+
+const meta: Meta = {
+  title: "Tokens /Colors",
+  parameters: {
+    layout: "fullscreen",
+    controls: { disable: true },
+  },
+};
+
+export default meta;
+
+// Helper function to convert hex to RGB
+function hexToRgb(hex: string): string {
+  const result = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(hex);
+  if (!result) return hex;
+
+  const r = parseInt(result[1], 16);
+  const g = parseInt(result[2], 16);
+  const b = parseInt(result[3], 16);
+
+  return `rgb(${r}, ${g}, ${b})`;
+}
+
+// Generate color categories from colors.ts
+const colorCategories = Object.entries(colors)
+  .filter(([key]) => !["white", "black"].includes(key))
+  .map(([colorName, colorShades]) => {
+    const descriptions: Record<string, string> = {
+      slate: "Cool gray tones for modern, professional interfaces",
+      zinc: "Neutral gray scale for backgrounds and subtle elements",
+      red: "Error states, warnings, and destructive actions",
+      orange: "Warnings, notifications, and secondary call-to-actions",
+      yellow: "Highlights, cautions, and attention-grabbing elements",
+      green: "Success states, confirmations, and positive actions",
+      purple: "Brand accents, premium features, and creative elements",
+      pink: "Highlights, special promotions, and playful interactions",
+    };
+
+    return {
+      name: colorName.charAt(0).toUpperCase() + colorName.slice(1),
+      description: descriptions[colorName] || `${colorName} color variations`,
+      colors: Object.entries(colorShades as Record<string, string>).map(
+        ([shade, hex]) => ({
+          name: `${colorName}-${shade}`,
+          hex,
+          rgb: hexToRgb(hex),
+          class: `bg-${colorName}-${shade}`,
+          textClass: `text-${colorName}-${shade}`,
+        }),
+      ),
+    };
+  });
+
+// Special colors from colors.ts
+const specialColors = [
+  {
+    name: "Text",
+    description: "Primary text colors for content and typography",
+    colors: [
+      {
+        name: "text-white",
+        hex: colors.white,
+        rgb: hexToRgb(colors.white),
+        class: "text-white",
+        bgClass: "bg-white",
+      },
+      {
+        name: "text-black",
+        hex: colors.black,
+        rgb: hexToRgb(colors.black),
+        class: "text-black",
+        bgClass: "bg-black",
+      },
+    ],
+  },
+  {
+    name: "Background",
+    description: "Standard background colors for layouts and surfaces",
+    colors: [
+      {
+        name: "bg-white",
+        hex: colors.white,
+        rgb: hexToRgb(colors.white),
+        class: "bg-white",
+        textClass: "text-white",
+      },
+      {
+        name: "bg-light-grey",
+        hex: colors.lightGrey,
+        rgb: hexToRgb(colors.lightGrey),
+        class: "bg-light-grey",
+        textClass: "text-light-grey",
+      },
+    ],
+  },
+];
+
+export function AllVariants() {
+  return (
+    <div className="space-y-12">
+      {/* Color System Documentation */}
+      <div className="space-y-8">
+        <div>
+          <Text variant="h1" className="mb-4 text-zinc-800">
+            Color Palette
+          </Text>
+          <Text variant="large" className="text-zinc-600">
+            Use only these approved colors in your components. Many are named
+            like Tailwind&apos;s default theme but override those values with
+            our custom palette.
+          </Text>
+        </div>
+
+        <div className="grid gap-8 md:grid-cols-2">
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              How to Use
+            </Text>
+            <div className="space-y-4">
+              <div className="rounded-lg border border-gray-200 p-4">
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  Use any of the approved colors combined with{" "}
+                  <a
+                    href="https://tailwindcss.com/docs/colors"
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="text-blue-500"
+                  >
+                    tailwind classes
+                  </a>
+                </Text>
+                <div className="font-mono text-sm text-zinc-800">
+                  bg-slate-500 → background-color: {colors.slate[500]}
+                </div>
+              </div>
+
+              <div className="rounded-lg border-2 border-dashed border-red-200 bg-red-50 p-4">
+                <Text
+                  variant="body-medium"
+                  className="mb-2 font-semibold text-red-800"
+                >
+                  ⚠️ Only Use These Colors
+                </Text>
+                <Text variant="body" className="text-red-700">
+                  These are the ONLY approved colors. Don&apos;t use other
+                  Tailwind colors or arbitrary values.
+                </Text>
+              </div>
+            </div>
+          </div>
+
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              Color Selection Guide
+            </Text>
+            <div className="space-y-2 text-zinc-600">
+              <Text variant="body">
+                • <strong>50-200:</strong> Light backgrounds, subtle borders
+              </Text>
+              <Text variant="body">
+                • <strong>300-500:</strong> Interactive elements, primary colors
+              </Text>
+              <Text variant="body">
+                • <strong>600-900:</strong> Text colors, dark backgrounds
+              </Text>
+              <Text variant="body">
+                • <strong>Semantic:</strong> Red for errors, green for success
+              </Text>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Special Colors */}
+      <div className="space-y-8">
+        <div className="grid gap-8 md:grid-cols-2">
+          {specialColors.map((category) => (
+            <div key={category.name} className="space-y-4">
+              <div>
+                <Text
+                  variant="h3"
+                  className="mb-1 text-lg font-semibold text-zinc-800"
+                >
+                  {category.name}
+                </Text>
+                <Text variant="body" className="text-zinc-600">
+                  {category.description}
+                </Text>
+              </div>
+              <div className="grid gap-3 sm:grid-cols-1">
+                {category.colors.map((color) => (
+                  <div
+                    key={color.name}
+                    className="flex items-center gap-4 rounded-lg border border-gray-200 p-4"
+                  >
+                    <div
+                      className="h-12 w-12 flex-shrink-0 rounded border border-gray-300"
+                      style={{ backgroundColor: color.hex }}
+                    ></div>
+                    <div className="flex-1 space-y-1">
+                      <Text
+                        variant="body-medium"
+                        className="font-mono text-zinc-800"
+                      >
+                        {color.name}
+                      </Text>
+                      <Text variant="small" className="font-mono text-zinc-500">
+                        {color.class}
+                      </Text>
+                      <div className="space-y-0.5">
+                        <p className="font-mono text-xs text-zinc-500">
+                          {color.hex}
+                        </p>
+                        <p className="font-mono text-xs text-zinc-500">
+                          {color.rgb}
+                        </p>
+                      </div>
+                    </div>
+                  </div>
+                ))}
+              </div>
+            </div>
+          ))}
+        </div>
+      </div>
+
+      {/* Color Categories */}
+      <div className="space-y-12">
+        {colorCategories.map((category) => (
+          <div key={category.name} className="space-y-4">
+            <div>
+              <Text
+                variant="h3"
+                className="mb-1 text-lg font-semibold text-zinc-800"
+              >
+                {category.name}
+              </Text>
+              <Text variant="body" className="text-zinc-600">
+                {category.description}
+              </Text>
+            </div>
+            <div className="grid gap-3 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 xl:grid-cols-5">
+              {category.colors.map((color) => (
+                <div
+                  key={color.name}
+                  className="space-y-3 rounded-lg border border-gray-200 p-4"
+                >
+                  <div
+                    className="h-16 w-full rounded border border-gray-300"
+                    style={{ backgroundColor: color.hex }}
+                  ></div>
+                  <div className="space-y-1">
+                    <Text
+                      variant="body-medium"
+                      className="font-mono text-zinc-800"
+                    >
+                      {color.name}
+                    </Text>
+                    <Text variant="small" className="font-mono text-zinc-500">
+                      {color.class}
+                    </Text>
+                    <div className="space-y-0.5">
+                      <p className="font-mono text-xs text-zinc-500">
+                        {color.hex}
+                      </p>
+                      <p className="font-mono text-xs text-zinc-500">
+                        {color.rgb}
+                      </p>
+                    </div>
+                  </div>
+                </div>
+              ))}
+            </div>
+          </div>
+        ))}
+      </div>
+
+      {/* Usage Examples */}
+      <div className="space-y-8">
+        <div>
+          <Text
+            variant="h2"
+            className="mb-2 text-xl font-semibold text-zinc-800"
+          >
+            Usage Examples
+          </Text>
+        </div>
+
+        <StoryCode
+          code={`// ✅ CORRECT - Use approved design tokens
+<div className="bg-slate-100 text-slate-800">
+  Content with approved colors
+</div>
+
+<button className="bg-green-500 text-white hover:bg-green-600">
+  Success Button
+</button>
+
+// Text colors
+<h1 className="text-black">Primary heading</h1>
+<p className="text-zinc-600">Secondary text</p>
+
+// Semantic usage
+<div className="bg-green-50 border-green-200 text-green-800">Success</div>
+<div className="bg-red-50 border-red-200 text-red-800">Error</div>
+<div className="bg-yellow-50 border-yellow-200 text-yellow-800">Warning</div>
+<div className="bg-purple-50 border-purple-200 text-purple-800">Premium</div>
+<div className="bg-pink-50 border-pink-200 text-pink-800">Special</div>
+
+// ❌ INCORRECT - Don't use these  
+<div className="bg-blue-500 text-purple-600">❌ Not approved</div>
+<div className="bg-[#1234ff]">❌ Arbitrary values</div>`}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/tokens/helpers/StoryCode.tsx b/autogpt_platform/frontend/src/components/tokens/helpers/StoryCode.tsx
new file mode 100644
index 000000000000..a05a2e323cf5
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/tokens/helpers/StoryCode.tsx
@@ -0,0 +1,11 @@
+type Props = {
+  code: string;
+};
+
+export function StoryCode(props: Props) {
+  return (
+    <pre className="block rounded border bg-zinc-100 px-3 py-2 font-mono text-xs text-indigo-800 shadow-sm">
+      {props.code}
+    </pre>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/tokens/icons.stories.tsx b/autogpt_platform/frontend/src/components/tokens/icons.stories.tsx
new file mode 100644
index 000000000000..a6b53bc21dbb
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/tokens/icons.stories.tsx
@@ -0,0 +1,443 @@
+import { Text } from "@/components/atoms/Text/Text";
+import {
+  Alien,
+  ArrowClockwise,
+  ArrowCounterClockwise,
+  ArrowLeft,
+  ArrowRight,
+  Bell,
+  Books,
+  Check,
+  CloudArrowUp,
+  Copy,
+  Cube,
+  Download,
+  FacebookLogo,
+  FloppyDisk,
+  FlowArrow,
+  Gear,
+  GithubLogo,
+  Info,
+  InstagramLogo,
+  Key,
+  LinkedinLogo,
+  List,
+  Package,
+  PencilSimple,
+  Play,
+  ArrowClockwise as Redo,
+  SignOut,
+  SquaresFour,
+  Trash,
+  User,
+  UserCircle,
+  UserPlus,
+  Warning,
+  X,
+  XLogo,
+  YoutubeLogo,
+} from "@phosphor-icons/react";
+import type { Meta } from "@storybook/nextjs";
+import { SquareArrowOutUpRight } from "lucide-react";
+import { StoryCode } from "./helpers/StoryCode";
+
+const meta: Meta = {
+  title: "Tokens /Icons",
+  parameters: {
+    layout: "fullscreen",
+    controls: { disable: true },
+  },
+};
+
+export default meta;
+
+// Icon categories with examples
+const iconCategories = [
+  {
+    name: "User & Authentication",
+    description: "Icons for user-related actions and authentication flows",
+    icons: [
+      { component: User, name: "User", phosphorName: "User" },
+      { component: UserPlus, name: "UserPlus", phosphorName: "UserPlus" },
+      { component: UserCircle, name: "UserCircle", phosphorName: "UserCircle" },
+      { component: Key, name: "Key", phosphorName: "Key" },
+      { component: SignOut, name: "SignOut", phosphorName: "SignOut" },
+    ],
+  },
+  {
+    name: "Actions & Controls",
+    description: "Icons for common user actions and interface controls",
+    icons: [
+      { component: Play, name: "Play", phosphorName: "Play" },
+      {
+        component: ArrowClockwise,
+        name: "Refresh",
+        phosphorName: "ArrowClockwise",
+      },
+      { component: FloppyDisk, name: "Save", phosphorName: "FloppyDisk" },
+      {
+        component: ArrowCounterClockwise,
+        name: "Undo",
+        phosphorName: "ArrowCounterClockwise",
+      },
+      { component: Redo, name: "Redo", phosphorName: "ArrowClockwise" },
+      { component: PencilSimple, name: "Edit", phosphorName: "PencilSimple" },
+      { component: Copy, name: "Copy", phosphorName: "Copy" },
+      { component: Trash, name: "Delete", phosphorName: "Trash" },
+    ],
+  },
+  {
+    name: "Navigation & Layout",
+    description: "Icons for navigation, layout, and organizational elements",
+    icons: [
+      { component: List, name: "Menu", phosphorName: "List" },
+      {
+        component: SquaresFour,
+        name: "Dashboard",
+        phosphorName: "SquaresFour",
+      },
+      { component: ArrowLeft, name: "ArrowLeft", phosphorName: "ArrowLeft" },
+      { component: ArrowRight, name: "ArrowRight", phosphorName: "ArrowRight" },
+      { component: Gear, name: "Settings", phosphorName: "Gear" },
+      { component: Books, name: "Library", phosphorName: "Books" },
+    ],
+  },
+  {
+    name: "Content & Media",
+    description: "Icons for content types, media, and file operations",
+    icons: [
+      { component: CloudArrowUp, name: "Upload", phosphorName: "CloudArrowUp" },
+      { component: Download, name: "Download", phosphorName: "Download" },
+      { component: Package, name: "Package", phosphorName: "Package" },
+      { component: Cube, name: "Block", phosphorName: "Cube" },
+      { component: FlowArrow, name: "Workflow", phosphorName: "FlowArrow" },
+    ],
+  },
+  {
+    name: "Feedback & Status",
+    description: "Icons for alerts, notifications, and status indicators",
+    icons: [
+      { component: Warning, name: "Warning", phosphorName: "Warning" },
+      { component: Info, name: "Info", phosphorName: "Info" },
+      { component: Check, name: "Success", phosphorName: "Check" },
+      { component: X, name: "Close", phosphorName: "X" },
+      { component: Bell, name: "Notification", phosphorName: "Bell" },
+    ],
+  },
+  {
+    name: "Social & External",
+    description: "Icons for social media platforms and external links",
+    icons: [
+      { component: GithubLogo, name: "GitHub", phosphorName: "GithubLogo" },
+      {
+        component: LinkedinLogo,
+        name: "LinkedIn",
+        phosphorName: "LinkedinLogo",
+      },
+      { component: XLogo, name: "X (Twitter)", phosphorName: "XLogo" },
+      {
+        component: FacebookLogo,
+        name: "Facebook",
+        phosphorName: "FacebookLogo",
+      },
+      {
+        component: InstagramLogo,
+        name: "Instagram",
+        phosphorName: "InstagramLogo",
+      },
+      { component: YoutubeLogo, name: "YouTube", phosphorName: "YoutubeLogo" },
+    ],
+  },
+];
+
+export function AllVariants() {
+  return (
+    <div className="space-y-12">
+      {/* Icons System Documentation */}
+      <div className="space-y-8">
+        <div>
+          <Text variant="h1" className="mb-4 text-zinc-800">
+            Icons System
+          </Text>
+          <Text variant="large" className="text-zinc-600">
+            Our icon system uses Phosphor Icons to provide a consistent, modern,
+            and comprehensive set of icons across all components. Phosphor
+            offers multiple weights and a cohesive design language that aligns
+            with our design principles.
+          </Text>
+        </div>
+
+        <div className="grid gap-8 md:grid-cols-2">
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              Phosphor Icons
+            </Text>
+            <div className="space-y-4">
+              <div className="rounded-lg border border-gray-200 p-4">
+                <a
+                  href="https://phosphoricons.com/"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="mb-2 inline-flex flex-row items-center gap-1 text-base font-semibold text-blue-600 hover:underline"
+                >
+                  Phosphor Icons Library{" "}
+                  <SquareArrowOutUpRight className="inline-block h-3 w-3" />
+                </a>
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  A flexible icon family with multiple weights and styles
+                </Text>
+                <div className="font-mono text-sm text-zinc-800">
+                  @phosphor-icons/react → React components
+                </div>
+              </div>
+              <div className="rounded-lg border border-gray-200 p-4">
+                <Text
+                  variant="body-medium"
+                  className="mb-2 font-semibold text-zinc-800"
+                >
+                  Available Weights
+                </Text>
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  Phosphor icons offer multiple weights - use the one specified
+                  in your designs
+                </Text>
+                <div className="space-y-1 font-mono text-sm text-zinc-800">
+                  <div>regular (default), light, bold, fill, thin, duotone</div>
+                </div>
+              </div>
+            </div>
+          </div>
+
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              Usage Guidelines
+            </Text>
+            <div className="space-y-4">
+              <div className="rounded-lg border-2 border-dashed border-blue-200 bg-blue-50 p-4">
+                <Text
+                  variant="body-medium"
+                  className="mb-2 font-semibold text-blue-800"
+                >
+                  ✅ Always Use Phosphor Icons
+                </Text>
+                <div className="space-y-2 text-blue-700">
+                  <Text variant="body">
+                    • Import from @phosphor-icons/react
+                  </Text>
+                  <Text variant="body">
+                    • Always match size and weight from Figma designs
+                  </Text>
+                  <Text variant="body">
+                    • Ensure icons have proper semantic meaning
+                  </Text>
+                  <Text variant="body">
+                    • Verify accessibility and color contrast
+                  </Text>
+                </div>
+              </div>
+              <div>
+                <Text
+                  variant="h3"
+                  className="mb-2 text-base font-semibold text-zinc-800"
+                >
+                  🎨 Design Consistency
+                </Text>
+                <div className="space-y-2 text-zinc-600">
+                  <Text variant="body">
+                    • Follow the exact specifications from design team
+                  </Text>
+                  <Text variant="body">
+                    • Maintain consistency across similar UI elements
+                  </Text>
+                  <Text variant="body">
+                    • Consider accessibility requirements (minimum 16px)
+                  </Text>
+                </div>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Design Matching */}
+      <div className="space-y-8">
+        <div>
+          <Text
+            variant="h2"
+            className="mb-2 text-xl font-semibold text-zinc-800"
+          >
+            Matching Design Specifications
+          </Text>
+          <Text variant="body" className="mb-6 text-zinc-600">
+            When implementing icons, always reference the design specifications
+            provided by the design team to ensure proper sizing and weight.
+          </Text>
+        </div>
+
+        <div className="rounded-lg border-2 border-dashed border-amber-200 bg-amber-50 p-6">
+          <Text
+            variant="body-medium"
+            className="mb-3 font-semibold text-amber-800"
+          >
+            🎨 Always Match Figma Designs
+          </Text>
+          <div className="space-y-3 text-amber-700">
+            <Text variant="body">
+              • Check the Figma designs for exact icon sizes (16px, 20px, 24px,
+              etc.)
+            </Text>
+            <Text variant="body">
+              • Match the icon weight specified in designs (regular, bold, fill,
+              etc.)
+            </Text>
+            <Text variant="body">
+              • Ensure color and opacity match the design specifications
+            </Text>
+            <Text variant="body">
+              • Verify spacing and alignment with surrounding elements
+            </Text>
+          </div>
+        </div>
+
+        <div className="flex items-center gap-8 rounded-lg border border-gray-200 p-6">
+          <div className="flex items-center gap-4">
+            <Alien size={16} className="text-zinc-600" />
+            <Text variant="small" className="font-mono text-zinc-500">
+              16px
+            </Text>
+          </div>
+          <div className="flex items-center gap-4">
+            <Alien size={20} className="text-zinc-600" />
+            <Text variant="small" className="font-mono text-zinc-500">
+              20px
+            </Text>
+          </div>
+          <div className="flex items-center gap-4">
+            <Alien size={24} className="text-zinc-600" />
+            <Text variant="small" className="font-mono text-zinc-500">
+              24px
+            </Text>
+          </div>
+          <div className="flex items-center gap-4">
+            <Alien size={32} className="text-zinc-600" />
+            <Text variant="small" className="font-mono text-zinc-500">
+              32px
+            </Text>
+          </div>
+        </div>
+      </div>
+
+      {/* Icon Categories */}
+      <div className="space-y-8">
+        <div>
+          <Text
+            variant="h2"
+            className="mb-2 text-xl font-semibold text-zinc-800"
+          >
+            Icon Categories
+          </Text>
+          <Text variant="body" className="mb-6 text-zinc-600">
+            Our curated icon set organized by functional categories. Each icon
+            is carefully selected to maintain consistency and semantic clarity.
+          </Text>
+        </div>
+
+        {iconCategories.map((category) => (
+          <div key={category.name} className="space-y-4">
+            <div>
+              <Text
+                variant="h3"
+                className="mb-1 text-lg font-semibold text-zinc-800"
+              >
+                {category.name}
+              </Text>
+              <Text variant="body" className="text-zinc-600">
+                {category.description}
+              </Text>
+            </div>
+            <div className="grid grid-cols-2 gap-4 rounded-lg border border-gray-200 p-4 md:grid-cols-3 lg:grid-cols-6">
+              {category.icons.map((icon) => (
+                <div
+                  key={icon.name}
+                  className="flex flex-col items-center space-y-2 rounded-lg p-3 hover:bg-gray-50"
+                >
+                  <icon.component size={24} className="text-zinc-600" />
+                  <Text
+                    variant="small"
+                    className="text-center font-mono text-zinc-500"
+                  >
+                    {icon.phosphorName}
+                  </Text>
+                </div>
+              ))}
+            </div>
+          </div>
+        ))}
+      </div>
+
+      {/* Usage Examples */}
+      <div className="space-y-8">
+        <div>
+          <Text
+            variant="h2"
+            className="mb-2 text-xl font-semibold text-zinc-800"
+          >
+            Usage Examples
+          </Text>
+          <Text variant="body" className="mb-6 text-zinc-600">
+            How to properly implement Phosphor icons in your React components.
+          </Text>
+        </div>
+
+        <StoryCode
+          code={`// Import icons from Phosphor
+import { User, Heart, Star, Bell } from "@phosphor-icons/react";
+
+// Basic usage with default size (24px)
+<User />
+<Heart />
+
+// Custom sizes
+<User size={16} />  // Small
+<User size={20} />  // Default
+<User size={24} />  // Large
+<User size={32} />  // Extra large
+
+// With custom colors
+<Heart className="text-red-500" />
+<Star className="text-yellow-500" />
+
+// Different weights
+<User weight="thin" />     // 1px stroke
+<User weight="light" />    // 1.5px stroke  
+<User weight="regular" />  // 2px stroke (default)
+<User weight="bold" />     // 2.5px stroke
+<User weight="fill" />     // Filled version
+<User weight="duotone" />  // Two-tone style
+
+// Interactive states
+<Bell 
+  size={20}
+  weight={hasNotifications ? "fill" : "regular"}
+  className={hasNotifications ? "text-blue-500" : "text-gray-400"}
+/>
+
+// In buttons
+<button className="flex items-center gap-2">
+  <User size={16} />
+  Profile
+</button>
+
+// Responsive sizing with Tailwind
+<User className="size-4 md:size-5 lg:size-6" />`}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/tokens/spacing.stories.tsx b/autogpt_platform/frontend/src/components/tokens/spacing.stories.tsx
new file mode 100644
index 000000000000..cbe3804a7e8f
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/tokens/spacing.stories.tsx
@@ -0,0 +1,273 @@
+import { Text } from "@/components/atoms/Text/Text";
+import type { Meta } from "@storybook/nextjs";
+import { SquareArrowOutUpRight } from "lucide-react";
+import { StoryCode } from "./helpers/StoryCode";
+
+const meta: Meta = {
+  title: "Tokens /Spacing",
+  parameters: {
+    layout: "fullscreen",
+    controls: { disable: true },
+  },
+};
+
+export default meta;
+
+// Spacing scale data with rem and px values
+// https://tailwindcss.com/docs/spacing
+const spacingScale = [
+  { name: "0", value: "0", rem: "0rem", px: "0px", class: "m-0" },
+  { name: "px", value: "1px", rem: "0.0625rem", px: "1px", class: "m-px" },
+  {
+    name: "0.5",
+    value: "0.125rem",
+    rem: "0.125rem",
+    px: "2px",
+    class: "m-0.5",
+  },
+  { name: "1", value: "0.25rem", rem: "0.25rem", px: "4px", class: "m-1" },
+  {
+    name: "1.5",
+    value: "0.375rem",
+    rem: "0.375rem",
+    px: "6px",
+    class: "m-1.5",
+  },
+  { name: "2", value: "0.5rem", rem: "0.5rem", px: "8px", class: "m-2" },
+  {
+    name: "2.5",
+    value: "0.625rem",
+    rem: "0.625rem",
+    px: "10px",
+    class: "m-2.5",
+  },
+  { name: "3", value: "0.75rem", rem: "0.75rem", px: "12px", class: "m-3" },
+  {
+    name: "3.5",
+    value: "0.875rem",
+    rem: "0.875rem",
+    px: "14px",
+    class: "m-3.5",
+  },
+  { name: "4", value: "1rem", rem: "1rem", px: "16px", class: "m-4" },
+  { name: "5", value: "1.25rem", rem: "1.25rem", px: "20px", class: "m-5" },
+  { name: "6", value: "1.5rem", rem: "1.5rem", px: "24px", class: "m-6" },
+  { name: "7", value: "1.75rem", rem: "1.75rem", px: "28px", class: "m-7" },
+  { name: "8", value: "2rem", rem: "2rem", px: "32px", class: "m-8" },
+  { name: "9", value: "2.25rem", rem: "2.25rem", px: "36px", class: "m-9" },
+  { name: "10", value: "2.5rem", rem: "2.5rem", px: "40px", class: "m-10" },
+  { name: "11", value: "2.75rem", rem: "2.75rem", px: "44px", class: "m-11" },
+  { name: "12", value: "3rem", rem: "3rem", px: "48px", class: "m-12" },
+  { name: "14", value: "3.5rem", rem: "3.5rem", px: "56px", class: "m-14" },
+  { name: "16", value: "4rem", rem: "4rem", px: "64px", class: "m-16" },
+  { name: "20", value: "5rem", rem: "5rem", px: "80px", class: "m-20" },
+  { name: "24", value: "6rem", rem: "6rem", px: "96px", class: "m-24" },
+  { name: "28", value: "7rem", rem: "7rem", px: "112px", class: "m-28" },
+  { name: "32", value: "8rem", rem: "8rem", px: "128px", class: "m-32" },
+  { name: "36", value: "9rem", rem: "9rem", px: "144px", class: "m-36" },
+  { name: "40", value: "10rem", rem: "10rem", px: "160px", class: "m-40" },
+  { name: "44", value: "11rem", rem: "11rem", px: "176px", class: "m-44" },
+  { name: "48", value: "12rem", rem: "12rem", px: "192px", class: "m-48" },
+  { name: "52", value: "13rem", rem: "13rem", px: "208px", class: "m-52" },
+  { name: "56", value: "14rem", rem: "14rem", px: "224px", class: "m-56" },
+  { name: "60", value: "15rem", rem: "15rem", px: "240px", class: "m-60" },
+  { name: "64", value: "16rem", rem: "16rem", px: "256px", class: "m-64" },
+  { name: "72", value: "18rem", rem: "18rem", px: "288px", class: "m-72" },
+  { name: "80", value: "20rem", rem: "20rem", px: "320px", class: "m-80" },
+  { name: "96", value: "24rem", rem: "24rem", px: "384px", class: "m-96" },
+];
+
+export function AllVariants() {
+  return (
+    <div className="space-y-12">
+      {/* Spacing System Documentation */}
+      <div className="space-y-8">
+        <div>
+          <Text variant="h1" className="mb-4 text-zinc-800">
+            Spacing System
+          </Text>
+          <Text variant="large" className="text-zinc-600">
+            Our spacing system uses a consistent scale based on rem units to
+            ensure proper spacing relationships across all components and
+            layouts. The spacing tokens are identical for both margin and
+            padding utilities.
+          </Text>
+        </div>
+
+        <div className="grid gap-8 md:grid-cols-2">
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              Tailwind utilities
+            </Text>
+            <div className="space-y-4">
+              <div className="rounded-lg border border-gray-200 p-4">
+                <a
+                  href="https://tailwindcss.com/docs/margin"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="mb-2 inline-flex flex-row items-center gap-1 text-base font-semibold text-blue-600 hover:underline"
+                >
+                  Margin Classes{" "}
+                  <SquareArrowOutUpRight className="inline-block h-3 w-3" />
+                </a>
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  Used for external spacing between elements
+                </Text>
+                <div className="font-mono text-sm text-zinc-800">
+                  m-4 → margin: 1rem (16px)
+                </div>
+              </div>
+              <div className="rounded-lg border border-gray-200 p-4">
+                <a
+                  href="https://tailwindcss.com/docs/padding"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="mb-2 inline-flex flex-row items-center gap-1 text-base font-semibold text-blue-600 hover:underline"
+                >
+                  Padding Classes
+                  <SquareArrowOutUpRight className="inline-block h-3 w-3" />
+                </a>
+
+                <Text variant="body" className="mb-2 text-zinc-600">
+                  Used for internal spacing within elements (same scale as
+                  margin)
+                </Text>
+                <div className="font-mono text-sm text-zinc-800">
+                  p-4 → padding: 1rem (16px)
+                </div>
+              </div>
+              <Text variant="body" className="mb-4 text-zinc-600">
+                We follow Tailwind CSS spacing system, which means you can use
+                any spacing token available in the default Tailwind theme for
+                margins and padding.
+              </Text>
+            </div>
+          </div>
+
+          <div>
+            <Text
+              variant="h2"
+              className="mb-2 text-xl font-semibold text-zinc-800"
+            >
+              FAQ
+            </Text>
+            <div className="space-y-4">
+              <Text
+                variant="h3"
+                className="mb-2 text-base font-semibold text-zinc-800"
+              >
+                🤔 Why use spacing tokens?
+              </Text>
+              <div className="space-y-3 text-zinc-600">
+                <Text variant="body">
+                  Always use spacing classes instead of arbitrary values.
+                  Reasons:
+                </Text>
+                <ul className="ml-4 list-disc space-y-1 text-sm">
+                  <li>Ensures consistent spacing relationships</li>
+                  <li>Makes responsive design easier with consistent ratios</li>
+                  <li>Provides a harmonious visual rhythm</li>
+                  <li>Easier to maintain and update globally</li>
+                  <li>Prevents spacing inconsistencies across the app</li>
+                </ul>
+              </div>
+              <div>
+                <Text
+                  variant="h3"
+                  className="mb-2 text-base font-semibold text-zinc-800"
+                >
+                  📏 How to choose spacing values?
+                </Text>
+                <div className="space-y-2 text-zinc-600">
+                  <Text variant="body">
+                    • <strong>1-2:</strong> Tight spacing, form elements
+                  </Text>
+                  <Text variant="body">
+                    • <strong>3-4:</strong> Default component spacing
+                  </Text>
+                  <Text variant="body">
+                    • <strong>6-8:</strong> Section spacing
+                  </Text>
+                  <Text variant="body">
+                    • <strong>12+:</strong> Major layout divisions
+                  </Text>
+                </div>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Complete Spacing Scale */}
+      <div className="space-y-8">
+        <div>
+          <Text
+            variant="h2"
+            className="mb-2 text-xl font-semibold text-zinc-800"
+          >
+            Complete Spacing Scale
+          </Text>
+          <Text variant="body" className="mb-6 text-zinc-600">
+            All available spacing values in our design system. Each value works
+            for both margin and padding.
+          </Text>
+        </div>
+
+        <div className="space-y-4">
+          {spacingScale.map((space) => (
+            <div
+              key={space.name}
+              className="flex items-center rounded-lg border border-gray-200 p-4"
+            >
+              <div className="flex w-32 flex-col">
+                <Text variant="body-medium" className="font-mono text-zinc-800">
+                  {space.name}
+                </Text>
+                <Text variant="small" className="font-mono text-zinc-500">
+                  {space.class}
+                </Text>
+              </div>
+              <div className="flex w-32 flex-col text-right">
+                <p className="font-mono text-xs text-zinc-500">{space.rem}</p>
+                <p className="font-mono text-xs text-zinc-500">{space.px}</p>
+              </div>
+              <div className="ml-8 flex-1">
+                <div className="relative h-6 bg-gray-50">
+                  <div
+                    className="absolute left-0 top-0 h-full bg-blue-500"
+                    style={{ width: space.value }}
+                  ></div>
+                </div>
+              </div>
+            </div>
+          ))}
+        </div>
+
+        <StoryCode
+          code={`// Spacing scale examples
+<div className="m-0">No margin (0px)</div>
+<div className="m-px">1px margin</div>
+<div className="m-1">0.25rem margin (4px)</div>
+<div className="m-2">0.5rem margin (8px)</div>
+<div className="m-4">1rem margin (16px)</div>
+<div className="m-8">2rem margin (32px)</div>
+<div className="m-16">4rem margin (64px)</div>
+
+// Directional spacing
+<div className="mt-4">Margin top</div>
+<div className="mr-4">Margin right</div>
+<div className="mb-4">Margin bottom</div>
+<div className="ml-4">Margin left</div>
+<div className="mx-4">Margin horizontal</div>
+<div className="my-4">Margin vertical</div>
+
+// Padding uses identical values
+<div className="p-4 pt-8 px-6">Mixed padding</div>`}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/tokens/typography.stories.tsx b/autogpt_platform/frontend/src/components/tokens/typography.stories.tsx
new file mode 100644
index 000000000000..d1f7471549d7
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/tokens/typography.stories.tsx
@@ -0,0 +1,175 @@
+import { Text } from "@/components/atoms/Text/Text";
+import type { Meta } from "@storybook/nextjs";
+import { StoryCode } from "./helpers/StoryCode";
+
+const meta: Meta<typeof Text> = {
+  title: "Tokens /Typography",
+  component: Text,
+  parameters: {
+    layout: "fullscreen",
+    controls: { disable: true },
+  },
+};
+
+export default meta;
+
+export function AllVariants() {
+  return (
+    <div className="space-y-12">
+      {/* Typography System Documentation */}
+      <div className="space-y-8">
+        <div>
+          <h1 className="mb-4 text-4xl font-bold text-zinc-800">
+            Typography System
+          </h1>
+          <p className="text-lg leading-relaxed text-zinc-600">
+            Our typography system uses two carefully selected fonts to create a
+            clear hierarchy and excellent readability across all interfaces.
+          </p>
+        </div>
+
+        <div className="grid gap-8 md:grid-cols-2">
+          <div>
+            <h2 className="mb-4 text-2xl font-semibold text-zinc-800">
+              Font Families
+            </h2>
+            <div className="space-y-4">
+              <div className="rounded-lg border border-gray-200 p-4">
+                <h3 className="mb-2 font-semibold text-zinc-800">
+                  <a
+                    href="https://fonts.google.com/specimen/Poppins"
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="text-blue-600 hover:underline"
+                  >
+                    Poppins
+                  </a>
+                </h3>
+                <p className="mb-2 text-sm text-zinc-600">
+                  Used for all headings and display text
+                </p>
+                <div className="font-poppins text-2xl text-zinc-800">
+                  The quick brown fox
+                </div>
+              </div>
+              <div className="rounded-lg border border-gray-200 p-4">
+                <h3 className="mb-2 font-semibold text-zinc-800">
+                  <a
+                    href="https://github.com/vercel/geist-font"
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="text-blue-600 hover:underline"
+                  >
+                    Geist Sans
+                  </a>
+                </h3>
+                <p className="mb-2 text-sm text-zinc-600">
+                  Used for all body text, labels, and UI elements
+                </p>
+                <div className="font-sans text-base text-zinc-800">
+                  The quick brown fox jumps over the lazy dog
+                </div>
+              </div>
+            </div>
+          </div>
+
+          <div>
+            <h2 className="mb-4 text-2xl font-semibold text-zinc-800">FAQ</h2>
+            <div className="space-y-4">
+              <div className="rounded-lg border border-gray-200 p-4">
+                <h3 className="mb-2 font-semibold text-zinc-800">
+                  🤔 Why can&apos;t I use &lt;p&gt; tags directly?
+                </h3>
+                <div className="space-y-3 text-zinc-600">
+                  <p className="text-sm">
+                    Always use the{" "}
+                    <code className="rounded bg-gray-100 px-2 py-1 text-xs">
+                      &lt;Text /&gt;
+                    </code>{" "}
+                    component instead of plain HTML elements like{" "}
+                    <code className="rounded bg-gray-100 px-2 py-1 text-xs">
+                      &lt;h1&gt;
+                    </code>
+                    ,{" "}
+                    <code className="rounded bg-gray-100 px-2 py-1 text-xs">
+                      &lt;p&gt;
+                    </code>
+                    ,{" "}
+                    <code className="rounded bg-gray-100 px-2 py-1 text-xs">
+                      &lt;span&gt;
+                    </code>
+                    , etc... Reasons:
+                  </p>
+                  <ul className="ml-4 list-inside list-disc space-y-1 text-sm">
+                    <li>Ensures consistent typography across the entire app</li>
+                    <li>
+                      Makes future design updates easier (change once, update
+                      everywhere)
+                    </li>
+                    <li>Provides TypeScript safety for typography variants</li>
+                    <li>
+                      Automatically maps to correct HTML elements for
+                      accessibility
+                    </li>
+                    <li>Prevents styling inconsistencies and design drift</li>
+                  </ul>
+                </div>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Typography Examples */}
+      <div className="space-y-8">
+        <div className="mb-19 mb-20 space-y-6">
+          <h2 className="mb-4 border-b border-border pb-2 text-xl text-zinc-500">
+            Headings (Poppins)
+          </h2>
+          <Text variant="h1">Heading 1</Text>
+          <Text variant="h2">Heading 2</Text>
+          <Text variant="h3">Heading 3</Text>
+          <Text variant="h4">Heading 4</Text>
+          <StoryCode
+            code={`<Text variant="h1">Heading 1</Text>
+<Text variant="h2">Heading 2</Text>
+<Text variant="h3">Heading 3</Text>
+<Text variant="h4">Heading 4</Text>`}
+          />
+        </div>
+
+        <h2 className="mb-4 border-b border-border pb-2 text-xl text-zinc-500">
+          Body Text (Geist Sans)
+        </h2>
+        <Text variant="lead">Lead</Text>
+        <StoryCode code="<Text variant='lead'>Lead</Text>" />
+        <div className="flex flex-row gap-8">
+          <Text variant="large">Large</Text>
+          <Text variant="large-medium">Large Medium</Text>
+          <Text variant="large-semibold">Large Semibold</Text>
+        </div>
+        <StoryCode
+          code={`<Text variant="large">Large</Text>
+<Text variant="large-medium">Large Medium</Text>
+<Text variant="large-semibold">Large Semibold</Text>`}
+        />
+        <div className="flex flex-row gap-8">
+          <Text variant="body">Body</Text>
+          <Text variant="body-medium">Body Medium</Text>
+        </div>
+        <StoryCode
+          code={`<Text variant="body">Body</Text>
+<Text variant="body-medium">Body Medium</Text>`}
+        />
+        <div className="flex flex-row gap-8">
+          <Text variant="small">Small</Text>
+          <Text variant="small-medium">Small Medium</Text>
+        </div>
+        <StoryCode
+          code={`<Text variant="small">Small</Text>
+<Text variant="small-medium">Small Medium</Text>`}
+        />
+      </div>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/tutorial.ts b/autogpt_platform/frontend/src/components/tutorial.ts
index d2236fd2cd10..f6d99752e4e0 100644
--- a/autogpt_platform/frontend/src/components/tutorial.ts
+++ b/autogpt_platform/frontend/src/components/tutorial.ts
@@ -1,6 +1,7 @@
-import { sendGAEvent } from "@next/third-parties/google";
 import Shepherd from "shepherd.js";
 import "shepherd.js/dist/css/shepherd.css";
+import { sendGAEvent } from "@/components/analytics/google-analytics";
+import { Key, storage } from "@/services/storage/local-storage";
 
 export const startTutorial = (
   emptyNodeList: (forceEmpty: boolean) => boolean,
@@ -152,7 +153,7 @@ export const startTutorial = (
         text: "Skip Tutorial",
         action: () => {
           tour.cancel(); // Ends the tour
-          localStorage.setItem("shepherd-tour", "skipped"); // Set the tutorial as skipped in local storage
+          storage.set(Key.SHEPHERD_TOUR, "skipped"); // Set the tutorial as skipped in local storage
         },
         classes: "shepherd-button-secondary", // Optionally add a class for styling the skip button differently
       },
@@ -326,14 +327,17 @@ export const startTutorial = (
     id: "press-run",
     title: "Press Run",
     text: "Start your first flow by pressing the Run button!",
-    attachTo: { element: '[data-id="primary-action-run-agent"]', on: "top" },
+    attachTo: {
+      element: '[data-testid="primary-action-run-agent"]',
+      on: "top",
+    },
     advanceOn: {
-      selector: '[data-id="primary-action-run-agent"]',
+      selector: '[data-testid="primary-action-run-agent"]',
       event: "click",
     },
     buttons: [],
     beforeShowPromise: () =>
-      waitForElement('[data-id="primary-action-run-agent"]'),
+      waitForElement('[data-testid="primary-action-run-agent"]'),
     when: {
       hide: () => {
         setTimeout(() => {
@@ -503,14 +507,17 @@ export const startTutorial = (
     id: "press-run-again",
     title: "Press Run Again",
     text: "Now, press the Run button again to execute the flow with the new Calculator Block added!",
-    attachTo: { element: '[data-id="primary-action-run-agent"]', on: "top" },
+    attachTo: {
+      element: '[data-testid="primary-action-run-agent"]',
+      on: "top",
+    },
     advanceOn: {
-      selector: '[data-id="primary-action-run-agent"]',
+      selector: '[data-testid="primary-action-run-agent"]',
       event: "click",
     },
     buttons: [],
     beforeShowPromise: () =>
-      waitForElement('[data-id="primary-action-run-agent"]'),
+      waitForElement('[data-testid="primary-action-run-agent"]'),
     when: {
       hide: () => {
         setTimeout(() => {
@@ -540,7 +547,7 @@ export const startTutorial = (
   tour.on("complete", () => {
     setPinBlocksPopover(false);
     setPinSavePopover(false);
-    localStorage.setItem("shepherd-tour", "completed"); // Optionally mark the tutorial as completed
+    storage.set(Key.SHEPHERD_TOUR, "completed"); // Optionally mark the tutorial as completed
   });
 
   for (const step of tour.steps) {
@@ -555,7 +562,7 @@ export const startTutorial = (
   tour.on("cancel", () => {
     setPinBlocksPopover(false);
     setPinSavePopover(false);
-    localStorage.setItem("shepherd-tour", "canceled"); // Optionally mark the tutorial as canceled
+    storage.set(Key.SHEPHERD_TOUR, "canceled"); // Optionally mark the tutorial as canceled
   });
 
   tour.start();
diff --git a/autogpt_platform/frontend/src/components/type-based-input.tsx b/autogpt_platform/frontend/src/components/type-based-input.tsx
new file mode 100644
index 000000000000..ba33e1ee5699
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/type-based-input.tsx
@@ -0,0 +1,547 @@
+import React, { FC, useState } from "react";
+import { cn } from "@/lib/utils";
+import { format } from "date-fns";
+import { CalendarIcon, UploadIcon } from "lucide-react";
+import { Cross2Icon, FileTextIcon } from "@radix-ui/react-icons";
+
+import { Input as BaseInput } from "@/components/ui/input";
+import { Textarea } from "@/components/ui/textarea";
+import { Switch } from "@/components/ui/switch";
+import { Button } from "@/components/ui/button";
+import { Progress } from "@/components/ui/progress";
+import {
+  Popover,
+  PopoverTrigger,
+  PopoverContent,
+} from "@/components/ui/popover";
+import { Calendar } from "@/components/ui/calendar";
+import {
+  Select,
+  SelectTrigger,
+  SelectValue,
+  SelectContent,
+  SelectItem,
+} from "@/components/ui/select";
+import {
+  MultiSelector,
+  MultiSelectorContent,
+  MultiSelectorInput,
+  MultiSelectorItem,
+  MultiSelectorList,
+  MultiSelectorTrigger,
+} from "@/components/ui/multiselect";
+import {
+  BlockIOObjectSubSchema,
+  BlockIOSubSchema,
+  DataType,
+  determineDataType,
+} from "@/lib/autogpt-server-api/types";
+import BackendAPI from "@/lib/autogpt-server-api/client";
+
+/**
+ * A generic prop structure for the TypeBasedInput.
+ *
+ * onChange expects an event-like object with e.target.value so the parent
+ * can do something like setInputValues(e.target.value).
+ */
+export interface TypeBasedInputProps {
+  schema: BlockIOSubSchema;
+  value?: any;
+  placeholder?: string;
+  onChange: (value: any) => void;
+}
+
+const inputClasses = "min-h-11 rounded-[1.375rem] border px-4 py-2.5 bg-text";
+
+function Input({
+  className,
+  ...props
+}: React.InputHTMLAttributes<HTMLInputElement>) {
+  return <BaseInput {...props} className={cn(inputClasses, className)} />;
+}
+
+/**
+ * A generic, data-type-based input component that uses Shadcn UI.
+ * It inspects the schema via `determineDataType` and renders
+ * the correct UI component.
+ */
+export const TypeBasedInput: FC<
+  TypeBasedInputProps & React.HTMLAttributes<HTMLElement>
+> = ({ schema, value, placeholder, onChange, ...props }) => {
+  const dataType = determineDataType(schema);
+
+  let innerInputElement: React.ReactNode = null;
+  switch (dataType) {
+    case DataType.NUMBER:
+      innerInputElement = (
+        <Input
+          type="number"
+          value={value ?? ""}
+          placeholder={placeholder || "Enter number"}
+          onChange={(e) => onChange(Number(e.target.value))}
+          {...props}
+        />
+      );
+      break;
+
+    case DataType.LONG_TEXT:
+      innerInputElement = (
+        <Textarea
+          className="rounded-xl px-3 py-2"
+          value={value ?? ""}
+          placeholder={placeholder || "Enter text"}
+          onChange={(e) => onChange(e.target.value)}
+          {...props}
+        />
+      );
+      break;
+
+    case DataType.BOOLEAN:
+      innerInputElement = (
+        <>
+          <span className="text-sm text-gray-500">
+            {placeholder || (value ? "Enabled" : "Disabled")}
+          </span>
+          <Switch
+            className="ml-auto"
+            checked={!!value}
+            onCheckedChange={(checked: boolean) => onChange(checked)}
+            {...props}
+          />
+        </>
+      );
+      break;
+
+    case DataType.DATE:
+      innerInputElement = (
+        <DatePicker
+          value={value}
+          placeholder={placeholder}
+          onChange={onChange}
+          className={cn(inputClasses)}
+        />
+      );
+      break;
+
+    case DataType.TIME:
+      innerInputElement = (
+        <TimePicker value={value?.toString()} onChange={onChange} />
+      );
+      break;
+
+    case DataType.DATE_TIME:
+      innerInputElement = (
+        <Input
+          type="datetime-local"
+          value={value ?? ""}
+          onChange={(e) => onChange(e.target.value)}
+          placeholder={placeholder || "Enter date and time"}
+          {...props}
+        />
+      );
+      break;
+
+    case DataType.FILE:
+      innerInputElement = (
+        <FileInput
+          value={value}
+          placeholder={placeholder}
+          onChange={onChange}
+          {...props}
+        />
+      );
+      break;
+
+    case DataType.SELECT:
+      if (
+        "enum" in schema &&
+        Array.isArray(schema.enum) &&
+        schema.enum.length > 0
+      ) {
+        innerInputElement = (
+          <Select
+            value={value ?? ""}
+            onValueChange={(val: string) => onChange(val)}
+          >
+            <SelectTrigger
+              className={cn(
+                inputClasses,
+                "agpt-border-input text-sm text-gray-500",
+              )}
+            >
+              <SelectValue placeholder={placeholder || "Select an option"} />
+            </SelectTrigger>
+            <SelectContent className="rounded-xl">
+              {schema.enum
+                .filter((opt) => opt)
+                .map((opt) => (
+                  <SelectItem key={opt} value={opt}>
+                    {String(opt)}
+                  </SelectItem>
+                ))}
+            </SelectContent>
+          </Select>
+        );
+        break;
+      }
+
+    case DataType.MULTI_SELECT:
+      const _schema = schema as BlockIOObjectSubSchema;
+
+      innerInputElement = (
+        <MultiSelector
+          className="nodrag"
+          values={Object.entries(value || {})
+            .filter(([_, v]) => v)
+            .map(([k, _]) => k)}
+          onValuesChange={(values: string[]) => {
+            const allKeys = Object.keys(_schema.properties);
+            onChange(
+              Object.fromEntries(
+                allKeys.map((opt) => [opt, values.includes(opt)]),
+              ),
+            );
+          }}
+        >
+          <MultiSelectorTrigger className={inputClasses}>
+            <MultiSelectorInput
+              placeholder={schema.placeholder ?? `Select ${schema.title}...`}
+            />
+          </MultiSelectorTrigger>
+          <MultiSelectorContent className="nowheel">
+            <MultiSelectorList
+              className={cn(inputClasses, "agpt-border-input bg-white")}
+            >
+              {Object.keys(_schema.properties)
+                .map((key) => ({ ..._schema.properties[key], key }))
+                .map(({ key, title, description }) => (
+                  <MultiSelectorItem key={key} value={key} title={description}>
+                    {title ?? key}
+                  </MultiSelectorItem>
+                ))}
+            </MultiSelectorList>
+          </MultiSelectorContent>
+        </MultiSelector>
+      );
+      break;
+
+    case DataType.SHORT_TEXT:
+    default:
+      innerInputElement = (
+        <Input
+          type="text"
+          value={value ?? ""}
+          onChange={(e) => onChange(e.target.value)}
+          placeholder={placeholder || "Enter text"}
+          {...props}
+        />
+      );
+  }
+
+  return <div className="no-drag relative flex">{innerInputElement}</div>;
+};
+
+interface DatePickerProps {
+  value?: Date;
+  placeholder?: string;
+  onChange: (date: Date | undefined) => void;
+  className?: string;
+}
+
+export function DatePicker({
+  value,
+  placeholder,
+  onChange,
+  className,
+}: DatePickerProps) {
+  return (
+    <Popover>
+      <PopoverTrigger asChild>
+        <Button
+          variant="outline"
+          className={cn(
+            "agpt-border-input w-full justify-start font-normal",
+            !value && "text-muted-foreground",
+            className,
+          )}
+        >
+          <CalendarIcon className="mr-2 h-5 w-5" />
+          {value ? (
+            format(value, "PPP")
+          ) : (
+            <span>{placeholder || "Pick a date"}</span>
+          )}
+        </Button>
+      </PopoverTrigger>
+
+      <PopoverContent className="flex min-h-[340px] w-auto p-0">
+        <Calendar
+          mode="single"
+          selected={value}
+          onSelect={(selected) => onChange(selected)}
+          autoFocus
+        />
+      </PopoverContent>
+    </Popover>
+  );
+}
+
+interface TimePickerProps {
+  value?: string;
+  onChange: (time: string) => void;
+  className?: string;
+}
+
+export function TimePicker({ value, onChange }: TimePickerProps) {
+  const pad = (n: number) => n.toString().padStart(2, "0");
+  const [hourNum, minuteNum] = value ? value.split(":").map(Number) : [0, 0];
+
+  const meridiem = hourNum >= 12 ? "PM" : "AM";
+  const hour = pad(hourNum % 12 || 12);
+  const minute = pad(minuteNum);
+
+  const changeTime = (hour: string, minute: string, meridiem: string) => {
+    const hour24 = (Number(hour) % 12) + (meridiem === "PM" ? 12 : 0);
+    onChange(`${pad(hour24)}:${minute}`);
+  };
+
+  return (
+    <div className="flex items-center space-x-3">
+      <div className="flex flex-col items-center">
+        <Select
+          value={hour}
+          onValueChange={(val: string) => changeTime(val, minute, meridiem)}
+        >
+          <SelectTrigger
+            className={cn("agpt-border-input ml-1 text-center", inputClasses)}
+          >
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            {Array.from({ length: 12 }, (_, i) => pad(i + 1)).map((h) => (
+              <SelectItem key={h} value={h}>
+                {h}
+              </SelectItem>
+            ))}
+          </SelectContent>
+        </Select>
+      </div>
+
+      <div className="flex flex-col items-center">
+        <span className="m-auto text-xl font-bold">:</span>
+      </div>
+
+      <div className="flex flex-col items-center">
+        <Select
+          value={minute}
+          onValueChange={(val: string) => changeTime(hour, val, meridiem)}
+        >
+          <SelectTrigger
+            className={cn("agpt-border-input text-center", inputClasses)}
+          >
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            {Array.from({ length: 60 }, (_, i) => pad(i)).map((m) => (
+              <SelectItem key={m} value={m.toString()}>
+                {m}
+              </SelectItem>
+            ))}
+          </SelectContent>
+        </Select>
+      </div>
+
+      <div className="flex flex-col items-center">
+        <Select
+          value={meridiem}
+          onValueChange={(val: string) => changeTime(hour, minute, val)}
+        >
+          <SelectTrigger
+            className={cn("agpt-border-input text-center", inputClasses)}
+          >
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectItem value="AM">AM</SelectItem>
+            <SelectItem value="PM">PM</SelectItem>
+          </SelectContent>
+        </Select>
+      </div>
+    </div>
+  );
+}
+
+function getFileLabel(filename: string, contentType?: string) {
+  if (contentType) {
+    const mimeParts = contentType.split("/");
+    if (mimeParts.length > 1) {
+      return `${mimeParts[1].toUpperCase()} file`;
+    }
+    return `${contentType} file`;
+  }
+
+  const pathParts = filename.split(".");
+  if (pathParts.length > 1) {
+    const ext = pathParts.pop();
+    if (ext) return `${ext.toUpperCase()} file`;
+  }
+  return "File";
+}
+
+function formatFileSize(bytes: number): string {
+  if (bytes >= 1024 * 1024) {
+    return `${(bytes / (1024 * 1024)).toFixed(2)} MB`;
+  } else if (bytes >= 1024) {
+    return `${(bytes / 1024).toFixed(2)} KB`;
+  } else {
+    return `${bytes} B`;
+  }
+}
+
+interface FileInputProps {
+  value?: string; // file URI or empty
+  placeholder?: string; // e.g. "Resume", "Document", etc.
+  onChange: (value: string) => void;
+  className?: string;
+}
+
+const FileInput: FC<FileInputProps> = ({ value, onChange, className }) => {
+  const [isUploading, setIsUploading] = useState(false);
+  const [uploadProgress, setUploadProgress] = useState(0);
+  const [uploadError, setUploadError] = useState<string | null>(null);
+  const [fileInfo, setFileInfo] = useState<{
+    name: string;
+    size: number;
+    content_type: string;
+  } | null>(null);
+
+  const api = new BackendAPI();
+
+  const uploadFile = async (file: File) => {
+    setIsUploading(true);
+    setUploadProgress(0);
+    setUploadError(null);
+
+    try {
+      const result = await api.uploadFile(
+        file,
+        "gcs",
+        24, // 24 hours expiration
+        (progress) => setUploadProgress(progress),
+      );
+
+      setFileInfo({
+        name: result.file_name,
+        size: result.size,
+        content_type: result.content_type,
+      });
+
+      // Set the file URI as the value
+      onChange(result.file_uri);
+    } catch (error) {
+      console.error("Upload failed:", error);
+      setUploadError(error instanceof Error ? error.message : "Upload failed");
+    } finally {
+      setIsUploading(false);
+      setUploadProgress(0);
+    }
+  };
+
+  const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const file = event.target.files?.[0];
+    if (file) uploadFile(file);
+  };
+
+  const handleFileDrop = (event: React.DragEvent<HTMLDivElement>) => {
+    event.preventDefault();
+    const file = event.dataTransfer.files[0];
+    if (file) uploadFile(file);
+  };
+
+  const inputRef = React.useRef<HTMLInputElement>(null);
+
+  const storageNote =
+    "Files are stored securely and will be automatically deleted at most 24 hours after upload.";
+
+  return (
+    <div className={cn("w-full", className)}>
+      {isUploading ? (
+        <div className="space-y-2">
+          <div className="flex min-h-14 items-center gap-4">
+            <div className="agpt-border-input flex min-h-14 w-full flex-col justify-center rounded-xl bg-zinc-50 p-4 text-sm">
+              <div className="mb-2 flex items-center gap-2">
+                <UploadIcon className="h-5 w-5 text-blue-600" />
+                <span className="text-gray-700">Uploading...</span>
+                <span className="text-gray-500">
+                  {Math.round(uploadProgress)}%
+                </span>
+              </div>
+              <Progress value={uploadProgress} className="w-full" />
+            </div>
+          </div>
+          <p className="text-xs text-gray-500">{storageNote}</p>
+        </div>
+      ) : value ? (
+        <div className="space-y-2">
+          <div className="flex min-h-14 items-center gap-4">
+            <div className="agpt-border-input flex min-h-14 w-full items-center justify-between rounded-xl bg-zinc-50 p-4 text-sm text-gray-500">
+              <div className="flex items-center gap-2">
+                <FileTextIcon className="h-7 w-7 text-black" />
+                <div className="flex flex-col gap-0.5">
+                  <span className="font-normal text-black">
+                    {fileInfo
+                      ? getFileLabel(fileInfo.name, fileInfo.content_type)
+                      : "File"}
+                  </span>
+                  <span>{fileInfo ? formatFileSize(fileInfo.size) : ""}</span>
+                </div>
+              </div>
+              <Cross2Icon
+                className="h-5 w-5 cursor-pointer text-black"
+                onClick={() => {
+                  if (inputRef.current) {
+                    inputRef.current.value = "";
+                  }
+                  onChange("");
+                  setFileInfo(null);
+                }}
+              />
+            </div>
+          </div>
+          <p className="text-xs text-gray-500">{storageNote}</p>
+        </div>
+      ) : (
+        <div className="space-y-2">
+          <div className="flex min-h-14 items-center gap-4">
+            <div
+              onDrop={handleFileDrop}
+              onDragOver={(e) => e.preventDefault()}
+              className="agpt-border-input flex min-h-14 w-full items-center justify-center rounded-xl border-dashed bg-zinc-50 text-sm text-gray-500"
+            >
+              Choose a file or drag and drop it here
+            </div>
+
+            <Button variant="default" onClick={() => inputRef.current?.click()}>
+              Browse File
+            </Button>
+          </div>
+
+          {uploadError && (
+            <div className="text-sm text-red-600">Error: {uploadError}</div>
+          )}
+
+          <p className="text-xs text-gray-500">{storageNote}</p>
+        </div>
+      )}
+
+      <input
+        ref={inputRef}
+        type="file"
+        accept="*/*"
+        className="hidden"
+        onChange={handleFileChange}
+        disabled={isUploading}
+      />
+    </div>
+  );
+};
diff --git a/autogpt_platform/frontend/src/components/ui/alert.stories.tsx b/autogpt_platform/frontend/src/components/ui/alert.stories.tsx
deleted file mode 100644
index 178f10319248..000000000000
--- a/autogpt_platform/frontend/src/components/ui/alert.stories.tsx
+++ /dev/null
@@ -1,90 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Alert, AlertTitle, AlertDescription } from "./alert";
-
-const meta = {
-  title: "UI/Alert",
-  component: Alert,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    variant: {
-      control: "select",
-      options: ["default", "destructive"],
-    },
-  },
-} satisfies Meta<typeof Alert>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: (
-      <>
-        <AlertTitle>Default Alert</AlertTitle>
-        <AlertDescription>
-          This is a default alert description.
-        </AlertDescription>
-      </>
-    ),
-  },
-};
-
-export const Destructive: Story = {
-  args: {
-    variant: "destructive",
-    children: (
-      <>
-        <AlertTitle>Destructive Alert</AlertTitle>
-        <AlertDescription>
-          This is a destructive alert description.
-        </AlertDescription>
-      </>
-    ),
-  },
-};
-
-export const WithIcon: Story = {
-  args: {
-    children: (
-      <>
-        <svg
-          xmlns="http://www.w3.org/2000/svg"
-          width="24"
-          height="24"
-          viewBox="0 0 24 24"
-          fill="none"
-          stroke="currentColor"
-          strokeWidth="2"
-          strokeLinecap="round"
-          strokeLinejoin="round"
-        >
-          <path d="M10.29 3.86L1.82 18a2 2 0 0 0 1.71 3h16.94a2 2 0 0 0 1.71-3L13.71 3.86a2 2 0 0 0-3.42 0z" />
-          <line x1="12" y1="9" x2="12" y2="13" />
-          <line x1="12" y1="17" x2="12.01" y2="17" />
-        </svg>
-        <AlertTitle>Alert with Icon</AlertTitle>
-        <AlertDescription>This alert includes an icon.</AlertDescription>
-      </>
-    ),
-  },
-};
-
-export const TitleOnly: Story = {
-  args: {
-    children: <AlertTitle>Alert with Title Only</AlertTitle>,
-  },
-};
-
-export const DescriptionOnly: Story = {
-  args: {
-    children: (
-      <AlertDescription>
-        This is an alert with only a description.
-      </AlertDescription>
-    ),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/avatar.stories.tsx b/autogpt_platform/frontend/src/components/ui/avatar.stories.tsx
deleted file mode 100644
index b03eaba98878..000000000000
--- a/autogpt_platform/frontend/src/components/ui/avatar.stories.tsx
+++ /dev/null
@@ -1,60 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Avatar, AvatarImage, AvatarFallback } from "./avatar";
-
-const meta = {
-  title: "UI/Avatar",
-  component: Avatar,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    // Add any specific controls for Avatar props here if needed
-  },
-} satisfies Meta<typeof Avatar>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: <AvatarImage src="https://github.com/shadcn.png" alt="@shadcn" />,
-  },
-};
-
-export const WithFallback: Story = {
-  args: {
-    children: (
-      <>
-        <AvatarImage src="/broken-image.jpg" alt="@shadcn" />
-        <AvatarFallback>CN</AvatarFallback>
-      </>
-    ),
-  },
-};
-
-export const FallbackOnly: Story = {
-  args: {
-    children: <AvatarFallback>JD</AvatarFallback>,
-  },
-};
-
-export const CustomSize: Story = {
-  args: {
-    className: "h-16 w-16",
-    children: <AvatarImage src="https://github.com/shadcn.png" alt="@shadcn" />,
-  },
-};
-
-export const CustomContent: Story = {
-  args: {
-    children: (
-      <AvatarFallback>
-        <span role="img" aria-label="Rocket">
-          🚀
-        </span>
-      </AvatarFallback>
-    ),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/avatar.tsx b/autogpt_platform/frontend/src/components/ui/avatar.tsx
index ca2a26e095af..681068b73bf0 100644
--- a/autogpt_platform/frontend/src/components/ui/avatar.tsx
+++ b/autogpt_platform/frontend/src/components/ui/avatar.tsx
@@ -58,8 +58,10 @@ const getAvatarSize = (className: string | undefined): number => {
 
 const AvatarFallback = React.forwardRef<
   React.ElementRef<typeof AvatarPrimitive.Fallback>,
-  React.ComponentPropsWithoutRef<typeof AvatarPrimitive.Fallback>
->(({ className, ...props }, ref) => (
+  React.ComponentPropsWithoutRef<typeof AvatarPrimitive.Fallback> & {
+    size?: number;
+  }
+>(({ className, size, ...props }, ref) => (
   <AvatarPrimitive.Fallback
     ref={ref}
     className={cn(
@@ -69,7 +71,7 @@ const AvatarFallback = React.forwardRef<
     {...props}
   >
     <BoringAvatar
-      size={getAvatarSize(className)}
+      size={size || getAvatarSize(className)}
       name={props.children?.toString() || "User"}
       variant="marble"
       colors={["#92A1C6", "#146A7C", "#F0AB3D", "#C271B4", "#C20D90"]}
diff --git a/autogpt_platform/frontend/src/components/ui/badge.stories.tsx b/autogpt_platform/frontend/src/components/ui/badge.stories.tsx
deleted file mode 100644
index f43e01501105..000000000000
--- a/autogpt_platform/frontend/src/components/ui/badge.stories.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Badge } from "./badge";
-
-const meta = {
-  title: "UI/Badge",
-  component: Badge,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    variant: {
-      control: "select",
-      options: ["default", "secondary", "destructive", "outline"],
-    },
-  },
-} satisfies Meta<typeof Badge>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: "Badge",
-  },
-};
-
-export const Secondary: Story = {
-  args: {
-    variant: "secondary",
-    children: "Secondary",
-  },
-};
-
-export const Destructive: Story = {
-  args: {
-    variant: "destructive",
-    children: "Destructive",
-  },
-};
-
-export const Outline: Story = {
-  args: {
-    variant: "outline",
-    children: "Outline",
-  },
-};
-
-export const CustomContent: Story = {
-  args: {
-    children: (
-      <>
-        <span className="mr-1">🚀</span>
-        Custom Content
-      </>
-    ),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/button.stories.tsx b/autogpt_platform/frontend/src/components/ui/button.stories.tsx
deleted file mode 100644
index 87feb825260a..000000000000
--- a/autogpt_platform/frontend/src/components/ui/button.stories.tsx
+++ /dev/null
@@ -1,219 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { Button } from "./button";
-import { userEvent, within, expect } from "@storybook/test";
-
-const meta = {
-  title: "UI/Button",
-  component: Button,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    variant: {
-      control: "select",
-      options: [
-        "default",
-        "destructive",
-        "outline",
-        "secondary",
-        "ghost",
-        "link",
-      ],
-    },
-    size: {
-      control: "select",
-      options: ["default", "sm", "lg", "primary", "icon"],
-    },
-    disabled: {
-      control: "boolean",
-    },
-    asChild: {
-      control: "boolean",
-    },
-    children: {
-      control: "text",
-    },
-    onClick: { action: "clicked" },
-  },
-} satisfies Meta<typeof Button>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: "Button",
-  },
-};
-
-export const Interactive: Story = {
-  args: {
-    children: "Interactive Button",
-  },
-  argTypes: {
-    onClick: { action: "clicked" },
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Interactive Button/i });
-    await userEvent.click(button);
-    await expect(button).toHaveFocus();
-  },
-};
-
-export const Variants: Story = {
-  render: (args) => (
-    <div className="flex flex-wrap gap-2">
-      <Button {...args} variant="default">
-        Default
-      </Button>
-      <Button {...args} variant="destructive">
-        Destructive
-      </Button>
-      <Button {...args} variant="outline">
-        Outline
-      </Button>
-      <Button {...args} variant="secondary">
-        Secondary
-      </Button>
-      <Button {...args} variant="ghost">
-        Ghost
-      </Button>
-      <Button {...args} variant="link">
-        Link
-      </Button>
-    </div>
-  ),
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const buttons = canvas.getAllByRole("button");
-    await expect(buttons).toHaveLength(6);
-    for (const button of buttons) {
-      await userEvent.hover(button);
-      await expect(button).toHaveAttribute(
-        "class",
-        expect.stringContaining("hover:"),
-      );
-    }
-  },
-};
-
-export const Sizes: Story = {
-  render: (args) => (
-    <div className="flex flex-wrap items-center gap-2">
-      <Button {...args} size="sm">
-        Small
-      </Button>
-      <Button {...args} size="default">
-        Default
-      </Button>
-      <Button {...args} size="lg">
-        Large
-      </Button>
-      <Button {...args} size="primary">
-        Primary
-      </Button>
-      <Button {...args} size="icon">
-        🚀
-      </Button>
-    </div>
-  ),
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const buttons = canvas.getAllByRole("button");
-    await expect(buttons).toHaveLength(5);
-    const sizes = ["sm", "default", "lg", "primary", "icon"];
-    const sizeClasses = [
-      "h-8 rounded-md px-3 text-xs",
-      "h-9 px-4 py-2",
-      "h-10 rounded-md px-8",
-      "md:h-14 md:w-44 rounded-2xl h-10 w-28",
-      "h-9 w-9",
-    ];
-    buttons.forEach(async (button, index) => {
-      await expect(button).toHaveAttribute(
-        "class",
-        expect.stringContaining(sizeClasses[index]),
-      );
-    });
-  },
-};
-
-export const Disabled: Story = {
-  args: {
-    children: "Disabled Button",
-    disabled: true,
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Disabled Button/i });
-    await expect(button).toBeDisabled();
-    await expect(button).toHaveStyle("pointer-events: none");
-    await expect(button).not.toHaveFocus();
-  },
-};
-
-export const WithIcon: Story = {
-  args: {
-    children: (
-      <>
-        <svg
-          xmlns="http://www.w3.org/2000/svg"
-          width="24"
-          height="24"
-          viewBox="0 0 24 24"
-          fill="none"
-          stroke="currentColor"
-          strokeWidth="2"
-          strokeLinecap="round"
-          strokeLinejoin="round"
-          className="mr-2 h-4 w-4"
-        >
-          <path d="M15 6v12a3 3 0 1 0 3-3H6a3 3 0 1 0 3 3V6a3 3 0 1 0-3 3h12a3 3 0 1 0-3-3" />
-        </svg>
-        Button with Icon
-      </>
-    ),
-  },
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Button with Icon/i });
-    const icon = button.querySelector("svg");
-    await expect(icon).toBeInTheDocument();
-    await expect(button).toHaveTextContent("Button with Icon");
-  },
-};
-
-export const LoadingState: Story = {
-  args: {
-    children: "Loading...",
-    disabled: true,
-  },
-  render: (args) => (
-    <Button {...args}>
-      <svg
-        className="mr-2 h-4 w-4 animate-spin"
-        xmlns="http://www.w3.org/2000/svg"
-        width="24"
-        height="24"
-        viewBox="0 0 24 24"
-        fill="none"
-        stroke="currentColor"
-        strokeWidth="2"
-        strokeLinecap="round"
-        strokeLinejoin="round"
-      >
-        <path d="M21 12a9 9 0 1 1-6.219-8.56" />
-      </svg>
-      {args.children}
-    </Button>
-  ),
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const button = canvas.getByRole("button", { name: /Loading.../i });
-    await expect(button).toBeDisabled();
-    const spinner = button.querySelector("svg");
-    await expect(spinner).toHaveClass("animate-spin");
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/button.tsx b/autogpt_platform/frontend/src/components/ui/button.tsx
index 2239996ac821..8200371bc332 100644
--- a/autogpt_platform/frontend/src/components/ui/button.tsx
+++ b/autogpt_platform/frontend/src/components/ui/button.tsx
@@ -5,7 +5,7 @@ import { cva, type VariantProps } from "class-variance-authority";
 import { cn } from "@/lib/utils";
 
 const buttonVariants = cva(
-  "inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-neutral-300",
+  "inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-0 disabled:pointer-events-none disabled:opacity-50",
   {
     variants: {
       variant: {
@@ -13,6 +13,7 @@ const buttonVariants = cva(
           "bg-neutral-900 text-neutral-50 shadow hover:bg-neutral-900/90 dark:bg-neutral-50 dark:text-neutral-900 dark:hover:bg-neutral-50/90",
         destructive:
           "bg-red-500 text-neutral-50 shadow-sm hover:bg-red-500/90 dark:bg-red-900 dark:text-neutral-50 dark:hover:bg-red-900/90",
+        accent: "bg-accent text-accent-foreground hover:bg-violet-500",
         outline:
           "border border-neutral-200 bg-white shadow-sm hover:bg-neutral-100 hover:text-neutral-900 dark:border-neutral-800 dark:bg-neutral-950 dark:hover:bg-neutral-800 dark:hover:text-neutral-50",
         secondary:
diff --git a/autogpt_platform/frontend/src/components/ui/calendar.stories.tsx b/autogpt_platform/frontend/src/components/ui/calendar.stories.tsx
deleted file mode 100644
index 2414a7448a33..000000000000
--- a/autogpt_platform/frontend/src/components/ui/calendar.stories.tsx
+++ /dev/null
@@ -1,70 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Calendar } from "./calendar";
-
-const meta = {
-  title: "UI/Calendar",
-  component: Calendar,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    mode: {
-      control: "select",
-      options: ["single", "multiple", "range"],
-    },
-    selected: {
-      control: "date",
-    },
-    showOutsideDays: {
-      control: "boolean",
-    },
-  },
-} satisfies Meta<typeof Calendar>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {},
-};
-
-export const SingleSelection: Story = {
-  args: {
-    mode: "single",
-    selected: new Date(),
-  },
-};
-
-export const MultipleSelection: Story = {
-  args: {
-    mode: "multiple",
-    selected: [
-      new Date(),
-      new Date(new Date().setDate(new Date().getDate() + 5)),
-    ],
-  },
-};
-
-export const RangeSelection: Story = {
-  args: {
-    mode: "range",
-    selected: {
-      from: new Date(),
-      to: new Date(new Date().setDate(new Date().getDate() + 7)),
-    },
-  },
-};
-
-export const HideOutsideDays: Story = {
-  args: {
-    showOutsideDays: false,
-  },
-};
-
-export const CustomClassName: Story = {
-  args: {
-    className: "border rounded-lg shadow-lg",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/calendar.tsx b/autogpt_platform/frontend/src/components/ui/calendar.tsx
index 04393f7dfc3c..6bdbad906919 100644
--- a/autogpt_platform/frontend/src/components/ui/calendar.tsx
+++ b/autogpt_platform/frontend/src/components/ui/calendar.tsx
@@ -7,10 +7,17 @@ import {
   ChevronRightIcon,
   ChevronUpIcon,
 } from "@radix-ui/react-icons";
-import { DayPicker } from "react-day-picker";
+import { DayPicker, DropdownProps } from "react-day-picker";
 
 import { cn } from "@/lib/utils";
 import { buttonVariants } from "@/components/ui/button";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "./select";
 
 export type CalendarProps = React.ComponentProps<typeof DayPicker>;
 
@@ -23,17 +30,20 @@ function Calendar({
   return (
     <DayPicker
       showOutsideDays={showOutsideDays}
+      captionLayout={"dropdown"}
+      endMonth={new Date(2100, 0)}
+      startMonth={new Date(1900, 0)}
       className={cn("p-3", className)}
       classNames={{
         months: "flex flex-col sm:flex-row space-y-4 sm:space-x-4 sm:space-y-0",
         month: "space-y-4",
-        month_caption: "flex justify-center pt-1 relative items-center",
-        caption_label: "text-sm font-medium",
-        nav: "space-x-1 flex items-center",
+        month_caption: "flex  items-center justify-center text-sm font-medium",
+        dropdowns: "flex gap-2 ",
+        caption_label: "hidden",
+        nav: "hidden",
         button_previous:
-          "absolute left-1 h-7 w-7 bg-transparent p-0 opacity-50 hover:opacity-100",
-        button_next:
-          "absolute right-1 h-7 w-7 bg-transparent p-0 opacity-50 hover:opacity-100",
+          "h-7 w-7 bg-transparent p-0 opacity-50 hover:opacity-100",
+        button_next: "h-7 w-7 bg-transparent p-0 opacity-50 hover:opacity-100",
         month_grid: "w-full border-collapse space-y-1",
         weekdays: "flex",
         weekday:
@@ -52,7 +62,7 @@ function Calendar({
         range_start: "range-start",
         range_end: "range-end",
         selected:
-          "bg-neutral-900 text-neutral-50 hover:bg-neutral-900 hover:text-neutral-50 focus:bg-neutral-700 focus:text-neutral-50 dark:bg-neutral-50 dark:text-neutral-900 dark:hover:bg-neutral-50 dark:hover:text-neutral-900 dark:focus:bg-neutral-50 dark:focus:text-neutral-900",
+          "bg-neutral-900 text-neutral-100 hover:bg-neutral-900 hover:text-neutral-50 focus:bg-neutral-700 focus:text-neutral-50 dark:bg-neutral-50 dark:text-neutral-900 dark:hover:bg-neutral-50 dark:hover:text-neutral-900 dark:focus:bg-neutral-50 dark:focus:text-neutral-900",
         today:
           "bg-neutral-100 text-neutral-900 dark:bg-neutral-800 dark:text-neutral-50",
         outside:
@@ -75,6 +85,7 @@ function Calendar({
             return <ChevronUpIcon className="h-4 w-4" />;
           }
         },
+        Dropdown: (props) => <CustomDropdown {...props} />,
       }}
       {...props}
     />
@@ -82,4 +93,47 @@ function Calendar({
 }
 Calendar.displayName = "Calendar";
 
+const CustomDropdown = ({
+  options,
+  value,
+  onChange,
+  name,
+  disabled,
+}: DropdownProps) => {
+  const handleValueChange = (newValue: string) => {
+    if (onChange) {
+      const syntheticEvent = {
+        target: {
+          name,
+          value: newValue,
+        },
+      } as React.ChangeEvent<HTMLSelectElement>;
+      onChange(syntheticEvent);
+    }
+  };
+
+  return (
+    <Select
+      value={value?.toString()}
+      onValueChange={handleValueChange}
+      disabled={disabled}
+    >
+      <SelectTrigger className="w-[120px] space-x-2 bg-white text-sm">
+        <SelectValue placeholder="Select" />
+      </SelectTrigger>
+      <SelectContent className="bg-white">
+        {options?.map((option) => (
+          <SelectItem
+            key={option.value}
+            value={option.value.toString()}
+            disabled={option.disabled}
+          >
+            {option.label}
+          </SelectItem>
+        ))}
+      </SelectContent>
+    </Select>
+  );
+};
+
 export { Calendar };
diff --git a/autogpt_platform/frontend/src/components/ui/card.stories.tsx b/autogpt_platform/frontend/src/components/ui/card.stories.tsx
deleted file mode 100644
index cc804aad5c9c..000000000000
--- a/autogpt_platform/frontend/src/components/ui/card.stories.tsx
+++ /dev/null
@@ -1,100 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  Card,
-  CardHeader,
-  CardFooter,
-  CardTitle,
-  CardDescription,
-  CardContent,
-} from "./card";
-
-const meta = {
-  title: "UI/Card",
-  component: Card,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    // Add any specific controls for Card props here if needed
-  },
-} satisfies Meta<typeof Card>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: (
-      <>
-        <CardHeader>
-          <CardTitle>Card Title</CardTitle>
-          <CardDescription>Card Description</CardDescription>
-        </CardHeader>
-        <CardContent>
-          <p>Card Content</p>
-        </CardContent>
-        <CardFooter>
-          <p>Card Footer</p>
-        </CardFooter>
-      </>
-    ),
-  },
-};
-
-export const HeaderOnly: Story = {
-  args: {
-    children: (
-      <CardHeader>
-        <CardTitle>Header Only Card</CardTitle>
-        <CardDescription>This card has only a header.</CardDescription>
-      </CardHeader>
-    ),
-  },
-};
-
-export const ContentOnly: Story = {
-  args: {
-    children: (
-      <CardContent>
-        <p>This card has only content.</p>
-      </CardContent>
-    ),
-  },
-};
-
-export const FooterOnly: Story = {
-  args: {
-    children: (
-      <CardFooter>
-        <p>This card has only a footer.</p>
-      </CardFooter>
-    ),
-  },
-};
-
-export const CustomContent: Story = {
-  args: {
-    children: (
-      <>
-        <CardHeader>
-          <CardTitle>Custom Content</CardTitle>
-        </CardHeader>
-        <CardContent>
-          <div className="flex h-40 items-center justify-center rounded-md bg-gray-100">
-            <span role="img" aria-label="Rocket" style={{ fontSize: "3rem" }}>
-              🚀
-            </span>
-          </div>
-        </CardContent>
-        <CardFooter className="justify-between">
-          <button className="rounded bg-blue-500 px-4 py-2 text-white">
-            Action
-          </button>
-          <p>Footer text</p>
-        </CardFooter>
-      </>
-    ),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/card.tsx b/autogpt_platform/frontend/src/components/ui/card.tsx
index e0a3ba1b3d15..96dcfa01daff 100644
--- a/autogpt_platform/frontend/src/components/ui/card.tsx
+++ b/autogpt_platform/frontend/src/components/ui/card.tsx
@@ -8,10 +8,7 @@ const Card = React.forwardRef<
 >(({ className, ...props }, ref) => (
   <div
     ref={ref}
-    className={cn(
-      "rounded-xl border border-gray-300 bg-white text-neutral-950 shadow",
-      className,
-    )}
+    className={cn("agpt-card text-neutral-950", className)}
     {...props}
   />
 ));
diff --git a/autogpt_platform/frontend/src/components/ui/carousel.tsx b/autogpt_platform/frontend/src/components/ui/carousel.tsx
index 1568672649c2..500723b6cf0c 100644
--- a/autogpt_platform/frontend/src/components/ui/carousel.tsx
+++ b/autogpt_platform/frontend/src/components/ui/carousel.tsx
@@ -1,10 +1,11 @@
+// This file has been updated for the Store's "Featured Agent Section". If you want to add Carousel, keep these components in mind: CarouselIndicator, CarouselPrevious, and CarouselNext.
 "use client";
 
 import * as React from "react";
 import useEmblaCarousel, {
   type UseEmblaCarouselType,
 } from "embla-carousel-react";
-import { ArrowLeft, ArrowRight } from "lucide-react";
+import { ChevronLeft, ChevronRight } from "lucide-react";
 
 import { cn } from "@/lib/utils";
 import { Button } from "@/components/ui/button";
@@ -196,67 +197,137 @@ CarouselItem.displayName = "CarouselItem";
 
 const CarouselPrevious = React.forwardRef<
   HTMLButtonElement,
-  React.ComponentProps<typeof Button>
->(({ className, variant = "outline", size = "icon", ...props }, ref) => {
-  const { orientation, scrollPrev, canScrollPrev } = useCarousel();
+  React.ComponentProps<typeof Button> & { afterClick?: () => void }
+>(
+  (
+    { className, afterClick, variant = "outline", size = "icon", ...props },
+    ref,
+  ) => {
+    const { orientation, scrollPrev, canScrollPrev } = useCarousel();
 
-  return (
-    <Button
-      ref={ref}
-      variant={variant}
-      size={size}
-      className={cn(
-        "absolute h-8 w-8 rounded-full",
-        orientation === "horizontal"
-          ? "-left-12 top-1/2 -translate-y-1/2"
-          : "-top-12 left-1/2 -translate-x-1/2 rotate-90",
-        className,
-      )}
-      disabled={!canScrollPrev}
-      onClick={scrollPrev}
-      {...props}
-    >
-      <ArrowLeft className="h-4 w-4" />
-      <span className="sr-only">Previous slide</span>
-    </Button>
-  );
-});
+    return (
+      <Button
+        ref={ref}
+        variant={variant}
+        size={size}
+        className={cn(
+          "absolute h-[52px] w-[52px] rounded-full",
+          orientation === "horizontal"
+            ? "right-20 top-0"
+            : "-top-12 left-1/2 -translate-x-1/2 rotate-90",
+          className,
+        )}
+        disabled={!canScrollPrev}
+        onClick={() => {
+          scrollPrev();
+          if (afterClick) {
+            afterClick();
+          }
+        }}
+        {...props}
+      >
+        <ChevronLeft className="h-8 w-8" strokeWidth={1.25} />
+        <span className="sr-only">Previous slide</span>
+      </Button>
+    );
+  },
+);
 CarouselPrevious.displayName = "CarouselPrevious";
 
 const CarouselNext = React.forwardRef<
   HTMLButtonElement,
-  React.ComponentProps<typeof Button>
->(({ className, variant = "outline", size = "icon", ...props }, ref) => {
-  const { orientation, scrollNext, canScrollNext } = useCarousel();
+  React.ComponentProps<typeof Button> & { afterClick?: () => void }
+>(
+  (
+    { className, afterClick, variant = "outline", size = "icon", ...props },
+    ref,
+  ) => {
+    const { orientation, scrollNext, canScrollNext } = useCarousel();
+
+    const handleClick = () => {
+      scrollNext();
+      if (afterClick) {
+        afterClick();
+      }
+    };
+
+    return (
+      <Button
+        ref={ref}
+        variant={variant}
+        size={size}
+        className={cn(
+          "absolute h-[52px] w-[52px] rounded-full",
+          orientation === "horizontal"
+            ? "right-4 top-0"
+            : "-bottom-12 left-1/2 -translate-x-1/2 rotate-90",
+          className,
+        )}
+        disabled={!canScrollNext}
+        onClick={handleClick}
+        {...props}
+      >
+        <ChevronRight className="h-8 w-8" strokeWidth={1.25} />
+        <span className="sr-only">Next slide</span>
+      </Button>
+    );
+  },
+);
+CarouselNext.displayName = "CarouselNext";
+
+const CarouselIndicator = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => {
+  const { api } = useCarousel();
+  const [selectedIndex, setSelectedIndex] = React.useState(0);
+  const [scrollSnaps, setScrollSnaps] = React.useState<number[]>([]);
+
+  const scrollTo = React.useCallback(
+    (index: number) => {
+      api?.scrollTo(index);
+    },
+    [api],
+  );
+
+  React.useEffect(() => {
+    if (!api) return;
+
+    setScrollSnaps(api.scrollSnapList());
+    api.on("select", () => {
+      setSelectedIndex(api.selectedScrollSnap());
+    });
+  }, [api]);
 
   return (
-    <Button
+    <div
       ref={ref}
-      variant={variant}
-      size={size}
-      className={cn(
-        "absolute h-8 w-8 rounded-full",
-        orientation === "horizontal"
-          ? "-right-12 top-1/2 -translate-y-1/2"
-          : "-bottom-12 left-1/2 -translate-x-1/2 rotate-90",
-        className,
-      )}
-      disabled={!canScrollNext}
-      onClick={scrollNext}
+      className={cn("relative top-7 flex h-3 items-center gap-2", className)}
       {...props}
     >
-      <ArrowRight className="h-4 w-4" />
-      <span className="sr-only">Next slide</span>
-    </Button>
+      {scrollSnaps.map((_, index) => (
+        <div
+          key={index}
+          onClick={() => scrollTo(index)}
+          className={cn(
+            selectedIndex === index
+              ? "h-3 w-[52px] rounded-[39px] bg-neutral-800 transition-all duration-500 dark:bg-neutral-200"
+              : "h-3 w-3 rounded-full bg-neutral-300 transition-all duration-500 dark:bg-neutral-600",
+            "cursor-pointer",
+          )}
+        />
+      ))}
+    </div>
   );
 });
-CarouselNext.displayName = "CarouselNext";
+CarouselIndicator.displayName = "CarouselIndicator";
 
 export {
   type CarouselApi,
   Carousel,
   CarouselContent,
   CarouselItem,
+  CarouselIndicator,
   CarouselPrevious,
   CarouselNext,
 };
diff --git a/autogpt_platform/frontend/src/components/ui/checkbox.stories.tsx b/autogpt_platform/frontend/src/components/ui/checkbox.stories.tsx
deleted file mode 100644
index 3310c3f4c9b1..000000000000
--- a/autogpt_platform/frontend/src/components/ui/checkbox.stories.tsx
+++ /dev/null
@@ -1,73 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Checkbox } from "./checkbox";
-
-const meta = {
-  title: "UI/Checkbox",
-  component: Checkbox,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    checked: {
-      control: "boolean",
-    },
-    disabled: {
-      control: "boolean",
-    },
-  },
-} satisfies Meta<typeof Checkbox>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {},
-};
-
-export const Checked: Story = {
-  args: {
-    checked: true,
-  },
-};
-
-export const Unchecked: Story = {
-  args: {
-    checked: false,
-  },
-};
-
-export const Disabled: Story = {
-  args: {
-    disabled: true,
-  },
-};
-
-export const DisabledChecked: Story = {
-  args: {
-    disabled: true,
-    checked: true,
-  },
-};
-
-export const WithLabel: Story = {
-  args: {},
-  render: (args) => (
-    <div className="flex items-center space-x-2">
-      <Checkbox id="terms" {...args} />
-      <label
-        htmlFor="terms"
-        className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
-      >
-        Accept terms and conditions
-      </label>
-    </div>
-  ),
-};
-
-export const CustomSize: Story = {
-  args: {
-    className: "h-6 w-6",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/collapsible.stories.tsx b/autogpt_platform/frontend/src/components/ui/collapsible.stories.tsx
deleted file mode 100644
index dbd22d10c2cf..000000000000
--- a/autogpt_platform/frontend/src/components/ui/collapsible.stories.tsx
+++ /dev/null
@@ -1,84 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import {
-  Collapsible,
-  CollapsibleTrigger,
-  CollapsibleContent,
-} from "./collapsible";
-import { Button } from "./button";
-
-const meta = {
-  title: "UI/Collapsible",
-  component: Collapsible,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Collapsible>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  render: () => (
-    <Collapsible>
-      <CollapsibleTrigger asChild>
-        <Button variant="outline">Toggle</Button>
-      </CollapsibleTrigger>
-      <CollapsibleContent className="mt-2 rounded bg-gray-100 p-4">
-        <p>This is the collapsible content.</p>
-      </CollapsibleContent>
-    </Collapsible>
-  ),
-};
-
-export const OpenByDefault: Story = {
-  render: () => (
-    <Collapsible defaultOpen>
-      <CollapsibleTrigger asChild>
-        <Button variant="outline">Toggle</Button>
-      </CollapsibleTrigger>
-      <CollapsibleContent className="mt-2 rounded bg-gray-100 p-4">
-        <p>This collapsible is open by default.</p>
-      </CollapsibleContent>
-    </Collapsible>
-  ),
-};
-
-export const CustomTrigger: Story = {
-  render: () => (
-    <Collapsible>
-      <CollapsibleTrigger asChild>
-        <Button variant="ghost">
-          <span>🔽</span> Click to expand
-        </Button>
-      </CollapsibleTrigger>
-      <CollapsibleContent className="mt-2 rounded bg-gray-100 p-4">
-        <p>Custom trigger example.</p>
-      </CollapsibleContent>
-    </Collapsible>
-  ),
-};
-
-export const NestedContent: Story = {
-  render: () => (
-    <Collapsible>
-      <CollapsibleTrigger asChild>
-        <Button variant="outline">Toggle Nested Content</Button>
-      </CollapsibleTrigger>
-      <CollapsibleContent className="mt-2 rounded bg-gray-100 p-4">
-        <h3 className="mb-2 font-bold">Main Content</h3>
-        <p className="mb-2">This is the main collapsible content.</p>
-        <Collapsible>
-          <CollapsibleTrigger asChild>
-            <Button variant="secondary" size="sm">
-              Toggle Nested
-            </Button>
-          </CollapsibleTrigger>
-          <CollapsibleContent className="mt-2 rounded bg-gray-200 p-2">
-            <p>This is nested collapsible content.</p>
-          </CollapsibleContent>
-        </Collapsible>
-      </CollapsibleContent>
-    </Collapsible>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/command.stories.tsx b/autogpt_platform/frontend/src/components/ui/command.stories.tsx
deleted file mode 100644
index 2d0aec23e3ab..000000000000
--- a/autogpt_platform/frontend/src/components/ui/command.stories.tsx
+++ /dev/null
@@ -1,98 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  Command,
-  CommandDialog,
-  CommandInput,
-  CommandList,
-  CommandEmpty,
-  CommandGroup,
-  CommandItem,
-  CommandShortcut,
-} from "./command";
-
-const meta = {
-  title: "UI/Command",
-  component: Command,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Command>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  render: () => (
-    <Command>
-      <CommandInput placeholder="Type a command or search..." />
-      <CommandList>
-        <CommandEmpty>No results found.</CommandEmpty>
-        <CommandGroup heading="Suggestions">
-          <CommandItem>
-            <span>Calendar</span>
-          </CommandItem>
-          <CommandItem>
-            <span>Search Emoji</span>
-          </CommandItem>
-          <CommandItem>
-            <span>Calculator</span>
-          </CommandItem>
-        </CommandGroup>
-        <CommandGroup heading="Settings">
-          <CommandItem>
-            <span>Profile</span>
-            <CommandShortcut>⌘P</CommandShortcut>
-          </CommandItem>
-          <CommandItem>
-            <span>Billing</span>
-            <CommandShortcut>⌘B</CommandShortcut>
-          </CommandItem>
-          <CommandItem>
-            <span>Settings</span>
-            <CommandShortcut>⌘S</CommandShortcut>
-          </CommandItem>
-        </CommandGroup>
-      </CommandList>
-    </Command>
-  ),
-};
-
-export const WithDialog: Story = {
-  render: () => (
-    <CommandDialog>
-      <CommandInput placeholder="Type a command or search..." />
-      <CommandList>
-        <CommandEmpty>No results found.</CommandEmpty>
-        <CommandGroup heading="Suggestions">
-          <CommandItem>Calendar</CommandItem>
-          <CommandItem>Search Emoji</CommandItem>
-          <CommandItem>Calculator</CommandItem>
-        </CommandGroup>
-      </CommandList>
-    </CommandDialog>
-  ),
-};
-
-export const CustomContent: Story = {
-  render: () => (
-    <Command className="rounded-lg border shadow-md">
-      <CommandInput placeholder="Search for fruit..." />
-      <CommandList>
-        <CommandEmpty>No fruits found.</CommandEmpty>
-        <CommandGroup heading="Fruits">
-          <CommandItem>
-            <span>🍎 Apple</span>
-          </CommandItem>
-          <CommandItem>
-            <span>🍌 Banana</span>
-          </CommandItem>
-          <CommandItem>
-            <span>🍊 Orange</span>
-          </CommandItem>
-        </CommandGroup>
-      </CommandList>
-    </Command>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/command.tsx b/autogpt_platform/frontend/src/components/ui/command.tsx
index f8c8c7f6bc75..8d476a32577e 100644
--- a/autogpt_platform/frontend/src/components/ui/command.tsx
+++ b/autogpt_platform/frontend/src/components/ui/command.tsx
@@ -23,7 +23,9 @@ const Command = React.forwardRef<
 ));
 Command.displayName = CommandPrimitive.displayName;
 
-interface CommandDialogProps extends DialogProps {}
+interface CommandDialogProps extends DialogProps {
+  children: React.ReactNode;
+}
 
 const CommandDialog = ({ children, ...props }: CommandDialogProps) => {
   return (
diff --git a/autogpt_platform/frontend/src/components/ui/data-table.stories.tsx b/autogpt_platform/frontend/src/components/ui/data-table.stories.tsx
deleted file mode 100644
index 7fb34630aae7..000000000000
--- a/autogpt_platform/frontend/src/components/ui/data-table.stories.tsx
+++ /dev/null
@@ -1,72 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { DataTable } from "./data-table";
-import { Button } from "./button";
-
-const meta = {
-  title: "UI/DataTable",
-  component: DataTable,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof DataTable>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const sampleData = [
-  { id: 1, name: "John Doe", age: 30, city: "New York" },
-  { id: 2, name: "Jane Smith", age: 25, city: "Los Angeles" },
-  { id: 3, name: "Bob Johnson", age: 35, city: "Chicago" },
-];
-
-const sampleColumns = [
-  { accessorKey: "name", header: "Name" },
-  { accessorKey: "age", header: "Age" },
-  { accessorKey: "city", header: "City" },
-];
-
-export const Default: Story = {
-  args: {
-    columns: sampleColumns,
-    data: sampleData,
-    filterPlaceholder: "Filter by name...",
-    filterColumn: "name",
-  },
-};
-
-export const WithGlobalActions: Story = {
-  args: {
-    ...Default.args,
-    globalActions: [
-      {
-        component: <Button>Delete Selected</Button>,
-        action: async (rows) => {
-          console.log("Deleting:", rows);
-        },
-      },
-    ],
-  },
-};
-
-export const NoResults: Story = {
-  args: {
-    ...Default.args,
-    data: [],
-  },
-};
-
-export const CustomFilterPlaceholder: Story = {
-  args: {
-    ...Default.args,
-    filterPlaceholder: "Search for a user...",
-  },
-};
-
-export const WithoutFilter: Story = {
-  args: {
-    columns: sampleColumns,
-    data: sampleData,
-    filterPlaceholder: "",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/dialog.stories.tsx b/autogpt_platform/frontend/src/components/ui/dialog.stories.tsx
deleted file mode 100644
index dcbfe943e278..000000000000
--- a/autogpt_platform/frontend/src/components/ui/dialog.stories.tsx
+++ /dev/null
@@ -1,102 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { Button } from "./button";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogFooter,
-  DialogHeader,
-  DialogTitle,
-  DialogTrigger,
-} from "./dialog";
-
-const meta = {
-  title: "UI/Dialog",
-  component: Dialog,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Dialog>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  render: () => (
-    <Dialog>
-      <DialogTrigger asChild>
-        <Button variant="outline">Open Dialog</Button>
-      </DialogTrigger>
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>Are you sure?</DialogTitle>
-          <DialogDescription>
-            This action cannot be undone. This will permanently delete your
-            account and remove your data from our servers.
-          </DialogDescription>
-        </DialogHeader>
-        <DialogFooter>
-          <Button type="submit">Confirm</Button>
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
-  ),
-};
-
-export const WithForm: Story = {
-  render: () => (
-    <Dialog>
-      <DialogTrigger asChild>
-        <Button>Edit Profile</Button>
-      </DialogTrigger>
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>Edit profile</DialogTitle>
-          <DialogDescription>
-            Make changes to your profile here. Click save when you&apos;re done.
-          </DialogDescription>
-        </DialogHeader>
-        <div className="grid gap-4 py-4">
-          <div className="grid grid-cols-4 items-center gap-4">
-            <label htmlFor="name" className="text-right">
-              Name
-            </label>
-            <input id="name" className="col-span-3" />
-          </div>
-          <div className="grid grid-cols-4 items-center gap-4">
-            <label htmlFor="username" className="text-right">
-              Username
-            </label>
-            <input id="username" className="col-span-3" />
-          </div>
-        </div>
-        <DialogFooter>
-          <Button type="submit">Save changes</Button>
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
-  ),
-};
-
-export const CustomContent: Story = {
-  render: () => (
-    <Dialog>
-      <DialogTrigger asChild>
-        <Button>Show Custom Dialog</Button>
-      </DialogTrigger>
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>Custom Content</DialogTitle>
-        </DialogHeader>
-        <div className="flex items-center justify-center p-6">
-          <span className="text-4xl">🎉</span>
-          <p className="ml-4">This is a custom dialog content!</p>
-        </div>
-        <DialogFooter>
-          <Button>Close</Button>
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/dropdown-menu.stories.tsx b/autogpt_platform/frontend/src/components/ui/dropdown-menu.stories.tsx
deleted file mode 100644
index 71130935aac2..000000000000
--- a/autogpt_platform/frontend/src/components/ui/dropdown-menu.stories.tsx
+++ /dev/null
@@ -1,102 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { Button } from "./button";
-import {
-  DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
-  DropdownMenuLabel,
-  DropdownMenuSeparator,
-  DropdownMenuTrigger,
-} from "./dropdown-menu";
-
-const meta = {
-  title: "UI/DropdownMenu",
-  component: DropdownMenu,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof DropdownMenu>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  render: () => (
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="outline">Open Menu</Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent>
-        <DropdownMenuLabel>My Account</DropdownMenuLabel>
-        <DropdownMenuSeparator />
-        <DropdownMenuItem>Profile</DropdownMenuItem>
-        <DropdownMenuItem>Billing</DropdownMenuItem>
-        <DropdownMenuItem>Team</DropdownMenuItem>
-        <DropdownMenuItem>Subscription</DropdownMenuItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  ),
-};
-
-export const WithDisabledItem: Story = {
-  render: () => (
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="outline">Open Menu</Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent>
-        <DropdownMenuItem>Profile</DropdownMenuItem>
-        <DropdownMenuItem>Billing</DropdownMenuItem>
-        <DropdownMenuItem disabled>Team (disabled)</DropdownMenuItem>
-        <DropdownMenuItem>Subscription</DropdownMenuItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  ),
-};
-
-export const WithIcons: Story = {
-  render: () => (
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="outline">Open Menu</Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent>
-        <DropdownMenuItem>
-          <span className="mr-2">👤</span> Profile
-        </DropdownMenuItem>
-        <DropdownMenuItem>
-          <span className="mr-2">💳</span> Billing
-        </DropdownMenuItem>
-        <DropdownMenuItem>
-          <span className="mr-2">👥</span> Team
-        </DropdownMenuItem>
-        <DropdownMenuItem>
-          <span className="mr-2">📅</span> Subscription
-        </DropdownMenuItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  ),
-};
-
-export const NestedDropdowns: Story = {
-  render: () => (
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="outline">Open Menu</Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent>
-        <DropdownMenuItem>Profile</DropdownMenuItem>
-        <DropdownMenuItem>Billing</DropdownMenuItem>
-        <DropdownMenu>
-          <DropdownMenuTrigger className="w-full">Team</DropdownMenuTrigger>
-          <DropdownMenuContent>
-            <DropdownMenuItem>Add Member</DropdownMenuItem>
-            <DropdownMenuItem>Remove Member</DropdownMenuItem>
-          </DropdownMenuContent>
-        </DropdownMenu>
-        <DropdownMenuItem>Subscription</DropdownMenuItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/form.stories.tsx b/autogpt_platform/frontend/src/components/ui/form.stories.tsx
deleted file mode 100644
index e10797b8250d..000000000000
--- a/autogpt_platform/frontend/src/components/ui/form.stories.tsx
+++ /dev/null
@@ -1,169 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-import { useForm } from "react-hook-form";
-import { z } from "zod";
-import { zodResolver } from "@hookform/resolvers/zod";
-
-import {
-  Form,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormControl,
-  FormDescription,
-  FormMessage,
-} from "./form";
-import { Input } from "./input";
-import { Button } from "./button";
-
-const formSchema = z.object({
-  username: z.string().min(2, {
-    message: "Username must be at least 2 characters.",
-  }),
-});
-
-const meta = {
-  title: "UI/Form",
-  component: Form,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Form>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const FormExample = () => {
-  const form = useForm<z.infer<typeof formSchema>>({
-    resolver: zodResolver(formSchema),
-    defaultValues: {
-      username: "",
-    },
-  });
-
-  function onSubmit(values: z.infer<typeof formSchema>) {
-    console.log(values);
-  }
-
-  return (
-    <Form {...form}>
-      <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-8">
-        <FormField
-          control={form.control}
-          name="username"
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>Username</FormLabel>
-              <FormControl>
-                <Input placeholder="Enter your username" {...field} />
-              </FormControl>
-              <FormDescription>
-                This is your public display name.
-              </FormDescription>
-              <FormMessage />
-            </FormItem>
-          )}
-        />
-        <Button type="submit">Submit</Button>
-      </form>
-    </Form>
-  );
-};
-
-export const Default: Story = {
-  render: () => <FormExample />,
-};
-
-export const WithError: Story = {
-  render: () => {
-    const FormWithError = () => {
-      const form = useForm<z.infer<typeof formSchema>>({
-        resolver: zodResolver(formSchema),
-        defaultValues: {
-          username: "",
-        },
-      });
-
-      React.useEffect(() => {
-        form.setError("username", {
-          type: "manual",
-          message: "This username is already taken.",
-        });
-      }, [form]);
-
-      function onSubmit(values: z.infer<typeof formSchema>) {
-        console.log(values);
-      }
-
-      return (
-        <Form {...form}>
-          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-8">
-            <FormField
-              control={form.control}
-              name="username"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>Username</FormLabel>
-                  <FormControl>
-                    <Input placeholder="Enter your username" {...field} />
-                  </FormControl>
-                  <FormDescription>
-                    This is your public display name.
-                  </FormDescription>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <Button type="submit">Submit</Button>
-          </form>
-        </Form>
-      );
-    };
-
-    return <FormWithError />;
-  },
-};
-
-export const WithDefaultValue: Story = {
-  render: () => {
-    const FormWithDefaultValue = () => {
-      const form = useForm<z.infer<typeof formSchema>>({
-        resolver: zodResolver(formSchema),
-        defaultValues: {
-          username: "johndoe",
-        },
-      });
-
-      function onSubmit(values: z.infer<typeof formSchema>) {
-        console.log(values);
-      }
-
-      return (
-        <Form {...form}>
-          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-8">
-            <FormField
-              control={form.control}
-              name="username"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>Username</FormLabel>
-                  <FormControl>
-                    <Input placeholder="Enter your username" {...field} />
-                  </FormControl>
-                  <FormDescription>
-                    This is your public display name.
-                  </FormDescription>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-            <Button type="submit">Submit</Button>
-          </form>
-        </Form>
-      );
-    };
-
-    return <FormWithDefaultValue />;
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/icons.stories.tsx b/autogpt_platform/frontend/src/components/ui/icons.stories.tsx
deleted file mode 100644
index f9aa3f8c6dd8..000000000000
--- a/autogpt_platform/frontend/src/components/ui/icons.stories.tsx
+++ /dev/null
@@ -1,131 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import {
-  IconUser,
-  IconUserPlus,
-  IconKey,
-  IconKeyPlus,
-  IconWorkFlow,
-  IconPlay,
-  IconSquare,
-  IconSquareActivity,
-  IconRefresh,
-  IconSave,
-  IconUndo2,
-  IconRedo2,
-  IconToyBrick,
-  IconCircleAlert,
-  IconCircleUser,
-  IconPackage2,
-  IconMegaphone,
-  IconMenu,
-  IconCoin,
-  IconEdit,
-  IconLogOut,
-  IconSettings,
-  IconLayoutDashboard,
-  IconUploadCloud,
-  IconMedium,
-  IconYoutube,
-  IconTiktok,
-  IconGlobe,
-  IconBuilder,
-  IconLibrary,
-  IconGithub,
-  IconLinkedin,
-  IconFacebook,
-  IconX,
-  IconInstagram,
-  IconLeftArrow,
-  IconRightArrow,
-} from "./icons";
-
-const meta = {
-  title: "UI/Icons",
-  component: IconUser,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    size: {
-      control: "select",
-      options: ["default", "sm", "lg"],
-    },
-    className: { control: "text" },
-  },
-} satisfies Meta<typeof IconUser>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const IconWrapper = ({ children }: { children: React.ReactNode }) => (
-  <div className="flex flex-wrap gap-4">{children}</div>
-);
-
-export const AllIcons: Story = {
-  render: (args) => (
-    <IconWrapper>
-      <IconUser {...args} />
-      <IconUserPlus {...args} />
-      <IconKey {...args} />
-      <IconKeyPlus {...args} />
-      <IconWorkFlow {...args} />
-      <IconPlay {...args} />
-      <IconSquare {...args} />
-      <IconSquareActivity {...args} />
-      <IconRefresh {...args} />
-      <IconSave {...args} />
-      <IconUndo2 {...args} />
-      <IconRedo2 {...args} />
-      <IconToyBrick {...args} />
-      <IconCircleAlert {...args} />
-      <IconCircleUser {...args} />
-      <IconPackage2 {...args} />
-      <IconMegaphone {...args} />
-      <IconMenu {...args} />
-      <IconCoin {...args} />
-      <IconEdit {...args} />
-      <IconLogOut {...args} />
-      <IconSettings {...args} />
-      <IconLayoutDashboard {...args} />
-      <IconUploadCloud {...args} />
-      <IconMedium {...args} />
-      <IconYoutube {...args} />
-      <IconTiktok {...args} />
-      <IconGlobe {...args} />
-      <IconBuilder {...args} />
-      <IconLibrary {...args} />
-      <IconGithub {...args} />
-      <IconLinkedin {...args} />
-      <IconFacebook {...args} />
-      <IconX {...args} />
-      <IconInstagram {...args} />
-      <IconLeftArrow {...args} />
-      <IconRightArrow {...args} />
-    </IconWrapper>
-  ),
-};
-
-export const DefaultSize: Story = {
-  args: {
-    size: "default",
-  },
-};
-
-export const SmallSize: Story = {
-  args: {
-    size: "sm",
-  },
-};
-
-export const LargeSize: Story = {
-  args: {
-    size: "lg",
-  },
-};
-
-export const CustomColor: Story = {
-  args: {
-    className: "text-blue-500",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/icons.tsx b/autogpt_platform/frontend/src/components/ui/icons.tsx
index cd6c06cbf0a9..2f7262d98bbf 100644
--- a/autogpt_platform/frontend/src/components/ui/icons.tsx
+++ b/autogpt_platform/frontend/src/components/ui/icons.tsx
@@ -323,7 +323,7 @@ export const IconCoin = createIcon((props) => (
     viewBox="0 0 24 24"
     fill="none"
     stroke="currentColor"
-    strokeWidth="2"
+    strokeWidth="1.25"
     strokeLinecap="round"
     strokeLinejoin="round"
     aria-label="Coin Icon"
@@ -1098,9 +1098,13 @@ export function StarRatingIcons(avgRating: number): JSX.Element[] {
   const rating = Math.max(0, Math.min(5, avgRating));
   for (let i = 1; i <= 5; i++) {
     if (i <= rating) {
-      stars.push(<IconStarFilled key={i} className="text-black" />);
+      stars.push(
+        <IconStarFilled key={i} className="text-black dark:text-yellow-500" />,
+      );
     } else {
-      stars.push(<IconStar key={i} className="text-black" />);
+      stars.push(
+        <IconStar key={i} className="text-black dark:text-yellow-500" />,
+      );
     }
   }
   return stars;
@@ -1304,21 +1308,21 @@ export const IconTiktok = createIcon((props) => (
 ));
 
 /**
- * Close (X) icon component.
+ * Cross (X) icon component.
  *
- * @component IconClose
+ * @component IconCross
  * @param {IconProps} props - The props object containing additional attributes and event handlers for the icon.
- * @returns {JSX.Element} - The close icon.
+ * @returns {JSX.Element} - The cross icon.
  *
  * @example
  * // Default usage
- * <IconClose />
+ * <IconCross />
  *
  * @example
  * // With custom color and size
- * <IconClose className="text-primary" size="lg" />
+ * <IconCross className="text-primary" size="lg" />
  */
-export const IconClose = createIcon((props) => (
+export const IconCross = createIcon((props) => (
   <svg
     xmlns="http://www.w3.org/2000/svg"
     viewBox="0 0 14 14"
@@ -1838,11 +1842,10 @@ export function getIconForSocial(
   url: string,
   props: IconProps,
 ): React.ReactNode {
-  const lowerCaseUrl = url.toLowerCase();
   let host;
   try {
     host = new URL(url).host;
-  } catch (e) {
+  } catch {
     return <IconGlobe {...props} />;
   }
 
diff --git a/autogpt_platform/frontend/src/components/ui/input.stories.tsx b/autogpt_platform/frontend/src/components/ui/input.stories.tsx
deleted file mode 100644
index fdfc5892820e..000000000000
--- a/autogpt_platform/frontend/src/components/ui/input.stories.tsx
+++ /dev/null
@@ -1,70 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Input } from "./input";
-
-const meta = {
-  title: "UI/Input",
-  component: Input,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    type: {
-      control: "select",
-      options: ["text", "password", "email", "number", "file"],
-    },
-    placeholder: { control: "text" },
-    disabled: { control: "boolean" },
-  },
-} satisfies Meta<typeof Input>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    placeholder: "Enter text...",
-  },
-};
-
-export const Password: Story = {
-  args: {
-    type: "password",
-    placeholder: "Enter password...",
-  },
-};
-
-export const Email: Story = {
-  args: {
-    type: "email",
-    placeholder: "Enter email...",
-  },
-};
-
-export const Number: Story = {
-  args: {
-    type: "number",
-    placeholder: "Enter number...",
-  },
-};
-
-export const File: Story = {
-  args: {
-    type: "file",
-  },
-};
-
-export const Disabled: Story = {
-  args: {
-    placeholder: "Disabled input",
-    disabled: true,
-  },
-};
-
-export const WithCustomClassName: Story = {
-  args: {
-    placeholder: "Custom class",
-    className: "border-2 border-blue-500",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/input.tsx b/autogpt_platform/frontend/src/components/ui/input.tsx
index 01b0b6cc38d5..ae339d0a2679 100644
--- a/autogpt_platform/frontend/src/components/ui/input.tsx
+++ b/autogpt_platform/frontend/src/components/ui/input.tsx
@@ -2,8 +2,7 @@ import * as React from "react";
 
 import { cn } from "@/lib/utils";
 
-export interface InputProps
-  extends React.InputHTMLAttributes<HTMLInputElement> {}
+export type InputProps = React.InputHTMLAttributes<HTMLInputElement>;
 
 const Input = React.forwardRef<HTMLInputElement, InputProps>(
   ({ className, type, ...props }, ref) => {
diff --git a/autogpt_platform/frontend/src/components/ui/label.stories.tsx b/autogpt_platform/frontend/src/components/ui/label.stories.tsx
deleted file mode 100644
index 2d18f60dcb27..000000000000
--- a/autogpt_platform/frontend/src/components/ui/label.stories.tsx
+++ /dev/null
@@ -1,49 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Label } from "./label";
-
-const meta = {
-  title: "UI/Label",
-  component: Label,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    htmlFor: { control: "text" },
-  },
-} satisfies Meta<typeof Label>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: "Default Label",
-  },
-};
-
-export const WithHtmlFor: Story = {
-  args: {
-    htmlFor: "example-input",
-    children: "Label with htmlFor",
-  },
-};
-
-export const CustomContent: Story = {
-  args: {
-    children: (
-      <>
-        <span className="mr-1">📝</span>
-        Custom Label Content
-      </>
-    ),
-  },
-};
-
-export const WithClassName: Story = {
-  args: {
-    className: "text-blue-500 font-bold",
-    children: "Styled Label",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/loading.tsx b/autogpt_platform/frontend/src/components/ui/loading.tsx
new file mode 100644
index 000000000000..86746c0502eb
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/ui/loading.tsx
@@ -0,0 +1,26 @@
+import { cn } from "@/lib/utils";
+import { LoaderCircle } from "lucide-react";
+
+export default function LoadingBox({
+  className,
+  spinnerSize,
+}: {
+  className?: string;
+  spinnerSize?: string | number;
+}) {
+  const spinnerSizeClass =
+    typeof spinnerSize == "string"
+      ? `size-[${spinnerSize}]`
+      : typeof spinnerSize == "number"
+        ? `size-${spinnerSize}`
+        : undefined;
+  return (
+    <div className={cn("flex items-center justify-center", className)}>
+      <LoadingSpinner className={spinnerSizeClass} />
+    </div>
+  );
+}
+
+export function LoadingSpinner({ className }: { className?: string }) {
+  return <LoaderCircle className={cn("size-16 animate-spin", className)} />;
+}
diff --git a/autogpt_platform/frontend/src/components/ui/multiselect.stories.tsx b/autogpt_platform/frontend/src/components/ui/multiselect.stories.tsx
deleted file mode 100644
index 2fe16feef1dc..000000000000
--- a/autogpt_platform/frontend/src/components/ui/multiselect.stories.tsx
+++ /dev/null
@@ -1,103 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  MultiSelector,
-  MultiSelectorTrigger,
-  MultiSelectorInput,
-  MultiSelectorContent,
-  MultiSelectorList,
-  MultiSelectorItem,
-} from "./multiselect";
-
-const meta = {
-  title: "UI/MultiSelector",
-  component: MultiSelector,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    loop: {
-      control: "boolean",
-    },
-    values: {
-      control: "object",
-    },
-    onValuesChange: { action: "onValuesChange" },
-  },
-} satisfies Meta<typeof MultiSelector>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const MultiSelectorExample = (args: any) => {
-  const [values, setValues] = React.useState<string[]>(args.values || []);
-
-  return (
-    <MultiSelector values={values} onValuesChange={setValues} {...args}>
-      <MultiSelectorTrigger>
-        <MultiSelectorInput placeholder="Select items..." />
-      </MultiSelectorTrigger>
-      <MultiSelectorContent>
-        <MultiSelectorList>
-          <MultiSelectorItem value="apple">Apple</MultiSelectorItem>
-          <MultiSelectorItem value="banana">Banana</MultiSelectorItem>
-          <MultiSelectorItem value="cherry">Cherry</MultiSelectorItem>
-          <MultiSelectorItem value="date">Date</MultiSelectorItem>
-          <MultiSelectorItem value="elderberry">Elderberry</MultiSelectorItem>
-        </MultiSelectorList>
-      </MultiSelectorContent>
-    </MultiSelector>
-  );
-};
-
-export const Default: Story = {
-  render: (args) => <MultiSelectorExample {...args} />,
-  args: {
-    values: [],
-    onValuesChange: (value: string[]) => {},
-  },
-};
-
-export const WithLoop: Story = {
-  render: (args) => <MultiSelectorExample {...args} />,
-  args: {
-    values: [],
-    onValuesChange: (value: string[]) => {},
-    loop: true,
-  },
-};
-
-export const WithInitialValues: Story = {
-  render: (args) => <MultiSelectorExample {...args} />,
-  args: {
-    values: ["apple", "banana"],
-    onValuesChange: (value: string[]) => {},
-  },
-};
-
-export const WithDisabledItem: Story = {
-  render: (args) => (
-    <MultiSelectorExample {...args}>
-      <MultiSelectorTrigger>
-        <MultiSelectorInput placeholder="Select items..." />
-      </MultiSelectorTrigger>
-      <MultiSelectorContent>
-        <MultiSelectorList>
-          <MultiSelectorItem value="apple">Apple</MultiSelectorItem>
-          <MultiSelectorItem value="banana">Banana</MultiSelectorItem>
-          <MultiSelectorItem value="cherry" disabled>
-            Cherry (Disabled)
-          </MultiSelectorItem>
-          <MultiSelectorItem value="date">Date</MultiSelectorItem>
-          <MultiSelectorItem value="elderberry">Elderberry</MultiSelectorItem>
-        </MultiSelectorList>
-      </MultiSelectorContent>
-    </MultiSelectorExample>
-  ),
-  args: {
-    values: [],
-    onValuesChange: (value: string[]) => {},
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/pagination-controls.tsx b/autogpt_platform/frontend/src/components/ui/pagination-controls.tsx
new file mode 100644
index 000000000000..384f5040baf1
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/ui/pagination-controls.tsx
@@ -0,0 +1,50 @@
+"use client";
+
+import { useRouter, usePathname, useSearchParams } from "next/navigation";
+import { Button } from "@/components/ui/button";
+
+export function PaginationControls({
+  currentPage,
+  totalPages,
+  pathParam = "page",
+}: {
+  currentPage: number;
+  totalPages: number;
+  pathParam?: string;
+}) {
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+
+  const createPageUrl = (page: number) => {
+    const params = new URLSearchParams(searchParams);
+    params.set(pathParam, page.toString());
+    return `${pathname}?${params.toString()}`;
+  };
+
+  const handlePageChange = (page: number) => {
+    router.push(createPageUrl(page));
+  };
+
+  return (
+    <div className="mt-4 flex items-center justify-center space-x-2">
+      <Button
+        variant="outline"
+        onClick={() => handlePageChange(currentPage - 1)}
+        disabled={currentPage <= 1}
+      >
+        Previous
+      </Button>
+      <span className="text-sm">
+        Page {currentPage} of {totalPages}
+      </span>
+      <Button
+        variant="outline"
+        onClick={() => handlePageChange(currentPage + 1)}
+        disabled={currentPage >= totalPages}
+      >
+        Next
+      </Button>
+    </div>
+  );
+}
diff --git a/autogpt_platform/frontend/src/components/ui/popover.stories.tsx b/autogpt_platform/frontend/src/components/ui/popover.stories.tsx
deleted file mode 100644
index 901e55149395..000000000000
--- a/autogpt_platform/frontend/src/components/ui/popover.stories.tsx
+++ /dev/null
@@ -1,102 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Popover, PopoverTrigger, PopoverContent } from "./popover";
-import { Button } from "./button";
-
-const meta = {
-  title: "UI/Popover",
-  component: Popover,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Popover>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const PopoverExample = (args: any) => (
-  <Popover>
-    <PopoverTrigger asChild>
-      <Button variant="outline">Open Popover</Button>
-    </PopoverTrigger>
-    <PopoverContent>
-      <div className="text-sm">
-        <h3 className="mb-1 font-medium">Popover Content</h3>
-        <p>This is the content of the popover.</p>
-      </div>
-    </PopoverContent>
-  </Popover>
-);
-
-export const Default: Story = {
-  render: () => <PopoverExample />,
-};
-
-export const AlignStart: Story = {
-  render: () => (
-    <Popover>
-      <PopoverTrigger asChild>
-        <Button variant="outline">Open Popover</Button>
-      </PopoverTrigger>
-      <PopoverContent align="start">
-        <div className="text-sm">
-          <h3 className="mb-1 font-medium">Popover Content</h3>
-          <p>This is the content of the popover.</p>
-        </div>
-      </PopoverContent>
-    </Popover>
-  ),
-};
-
-export const AlignEnd: Story = {
-  render: () => (
-    <Popover>
-      <PopoverTrigger asChild>
-        <Button variant="outline">Open Popover</Button>
-      </PopoverTrigger>
-      <PopoverContent align="end">
-        <div className="text-sm">
-          <h3 className="mb-1 font-medium">Popover Content</h3>
-          <p>This is the content of the popover.</p>
-        </div>
-      </PopoverContent>
-    </Popover>
-  ),
-};
-
-export const CustomOffset: Story = {
-  render: () => (
-    <Popover>
-      <PopoverTrigger asChild>
-        <Button variant="outline">Open Popover</Button>
-      </PopoverTrigger>
-      <PopoverContent sideOffset={10}>
-        <div className="text-sm">
-          <h3 className="mb-1 font-medium">Popover Content</h3>
-          <p>This is the content of the popover.</p>
-        </div>
-      </PopoverContent>
-    </Popover>
-  ),
-};
-
-export const CustomContent: Story = {
-  render: () => (
-    <Popover>
-      <PopoverTrigger asChild>
-        <Button variant="outline">Custom Popover</Button>
-      </PopoverTrigger>
-      <PopoverContent>
-        <div className="text-sm">
-          <h3 className="mb-1 font-medium">Custom Content</h3>
-          <p>This popover has custom content.</p>
-          <Button className="mt-2" size="sm">
-            Action Button
-          </Button>
-        </div>
-      </PopoverContent>
-    </Popover>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/popover.tsx b/autogpt_platform/frontend/src/components/ui/popover.tsx
index 45fd7b04878f..e9c2d7fc2e5f 100644
--- a/autogpt_platform/frontend/src/components/ui/popover.tsx
+++ b/autogpt_platform/frontend/src/components/ui/popover.tsx
@@ -1,7 +1,7 @@
 "use client";
 
-import * as React from "react";
 import * as PopoverPrimitive from "@radix-ui/react-popover";
+import * as React from "react";
 
 import { cn } from "@/lib/utils";
 
@@ -23,7 +23,7 @@ const PopoverContent = React.forwardRef<
       align={align}
       sideOffset={sideOffset}
       className={cn(
-        "z-50 w-72 rounded-md border border-neutral-200 bg-white p-4 text-neutral-950 shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 dark:border-neutral-800 dark:bg-neutral-950 dark:text-neutral-50",
+        "z-50 w-72 rounded-medium border border-neutral-200 bg-white p-4 text-neutral-950 shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 dark:border-neutral-800 dark:bg-neutral-950 dark:text-neutral-50",
         className,
       )}
       {...props}
@@ -34,8 +34,8 @@ PopoverContent.displayName = PopoverPrimitive.Content.displayName;
 
 export {
   Popover,
-  PopoverTrigger,
-  PopoverContent,
   PopoverAnchor,
+  PopoverContent,
   PopoverPortal,
+  PopoverTrigger,
 };
diff --git a/autogpt_platform/frontend/src/components/ui/progress.tsx b/autogpt_platform/frontend/src/components/ui/progress.tsx
new file mode 100644
index 000000000000..634c4030d20e
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/ui/progress.tsx
@@ -0,0 +1,33 @@
+import * as React from "react";
+import { cn } from "@/lib/utils";
+
+export interface ProgressProps extends React.HTMLAttributes<HTMLDivElement> {
+  value?: number;
+  max?: number;
+}
+
+const Progress = React.forwardRef<HTMLDivElement, ProgressProps>(
+  ({ className, value = 0, max = 100, ...props }, ref) => {
+    const percentage = Math.min(Math.max((value / max) * 100, 0), 100);
+
+    return (
+      <div
+        ref={ref}
+        className={cn(
+          "relative h-2 w-full overflow-hidden rounded-full bg-gray-200",
+          className,
+        )}
+        {...props}
+      >
+        <div
+          className="h-full bg-blue-600 transition-all duration-300 ease-in-out"
+          style={{ width: `${percentage}%` }}
+        />
+      </div>
+    );
+  },
+);
+
+Progress.displayName = "Progress";
+
+export { Progress };
diff --git a/autogpt_platform/frontend/src/components/ui/render.stories.tsx b/autogpt_platform/frontend/src/components/ui/render.stories.tsx
deleted file mode 100644
index a453f791249b..000000000000
--- a/autogpt_platform/frontend/src/components/ui/render.stories.tsx
+++ /dev/null
@@ -1,70 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { ContentRenderer } from "./render";
-
-const meta = {
-  title: "UI/ContentRenderer",
-  component: ContentRenderer,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    value: { control: "text" },
-    truncateLongData: { control: "boolean" },
-  },
-} satisfies Meta<typeof ContentRenderer>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Text: Story = {
-  args: {
-    value: "This is a simple text content.",
-  },
-};
-
-export const LongText: Story = {
-  args: {
-    value:
-      "This is a very long text that will be truncated when the truncateLongData prop is set to true. It contains more than 100 characters to demonstrate the truncation feature.",
-    truncateLongData: true,
-  },
-};
-
-export const Image: Story = {
-  args: {
-    value: "https://example.com/image.jpg",
-  },
-};
-
-export const Video: Story = {
-  args: {
-    value: "https://example.com/video.mp4",
-  },
-};
-
-export const YouTubeVideo: Story = {
-  args: {
-    value: "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
-  },
-};
-
-export const JsonObject: Story = {
-  args: {
-    value: { key: "value", nested: { array: [1, 2, 3] } },
-  },
-};
-
-export const TruncatedJsonObject: Story = {
-  args: {
-    value: {
-      key: "value",
-      nested: { array: [1, 2, 3] },
-      longText:
-        "This is a very long text that will be truncated when rendered as part of the JSON object.",
-    },
-    truncateLongData: true,
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/render.tsx b/autogpt_platform/frontend/src/components/ui/render.tsx
index ca7d6a00cb80..5173326f233f 100644
--- a/autogpt_platform/frontend/src/components/ui/render.tsx
+++ b/autogpt_platform/frontend/src/components/ui/render.tsx
@@ -1,7 +1,6 @@
 "use client";
 
 import * as React from "react";
-import Image from "next/image";
 
 const getYouTubeVideoId = (url: string) => {
   const regExp =
@@ -10,22 +9,44 @@ const getYouTubeVideoId = (url: string) => {
   return match && match[7].length === 11 ? match[7] : null;
 };
 
+const isValidMediaUri = (url: string): boolean => {
+  if (url.startsWith("data:")) {
+    return true;
+  }
+  const validUrl = /^(https?:\/\/)(www\.)?/i;
+  const cleanedUrl = url.split("?")[0];
+  return validUrl.test(cleanedUrl);
+};
+
 const isValidVideoUrl = (url: string): boolean => {
+  if (url.startsWith("data:video")) {
+    return true;
+  }
   const videoExtensions = /\.(mp4|webm|ogg)$/i;
   const youtubeRegex = /^(https?:\/\/)?(www\.)?(youtube\.com|youtu\.?be)\/.+$/;
-  return videoExtensions.test(url) || youtubeRegex.test(url);
+  const cleanedUrl = url.split("?")[0];
+  return (
+    (isValidMediaUri(url) && videoExtensions.test(cleanedUrl)) ||
+    youtubeRegex.test(cleanedUrl)
+  );
 };
 
 const isValidImageUrl = (url: string): boolean => {
+  if (url.startsWith("data:image/")) {
+    return true;
+  }
   const imageExtensions = /\.(jpeg|jpg|gif|png|svg|webp)$/i;
   const cleanedUrl = url.split("?")[0];
-  return imageExtensions.test(cleanedUrl);
+  return isValidMediaUri(url) && imageExtensions.test(cleanedUrl);
 };
 
 const isValidAudioUrl = (url: string): boolean => {
+  if (url.startsWith("data:audio")) {
+    return true;
+  }
   const audioExtensions = /\.(mp3|wav)$/i;
   const cleanedUrl = url.split("?")[0];
-  return audioExtensions.test(cleanedUrl);
+  return isValidMediaUri(url) && audioExtensions.test(cleanedUrl);
 };
 
 const VideoRenderer: React.FC<{ videoUrl: string }> = ({ videoUrl }) => {
@@ -50,19 +71,21 @@ const VideoRenderer: React.FC<{ videoUrl: string }> = ({ videoUrl }) => {
   );
 };
 
-const ImageRenderer: React.FC<{ imageUrl: string }> = ({ imageUrl }) => (
-  <div className="w-full p-2">
-    <picture>
-      <img
-        src={imageUrl}
-        alt="Image"
-        className="h-auto max-w-full"
-        width="100%"
-        height="auto"
-      />
-    </picture>
-  </div>
-);
+const ImageRenderer: React.FC<{ imageUrl: string }> = ({ imageUrl }) => {
+  return (
+    <div className="w-full p-2">
+      <picture>
+        <img
+          src={imageUrl}
+          alt="Image"
+          className="h-auto max-w-full"
+          width="100%"
+          height="auto"
+        />
+      </picture>
+    </div>
+  );
+};
 
 const AudioRenderer: React.FC<{ audioUrl: string }> = ({ audioUrl }) => (
   <div className="w-full p-2">
@@ -92,6 +115,9 @@ export const ContentRenderer: React.FC<{
   truncateLongData?: boolean;
 }> = ({ value, truncateLongData }) => {
   if (typeof value === "string") {
+    if (value.startsWith("data:image/")) {
+      return <ImageRenderer imageUrl={value} />;
+    }
     if (isValidVideoUrl(value)) {
       return <VideoRenderer videoUrl={value} />;
     } else if (isValidImageUrl(value)) {
diff --git a/autogpt_platform/frontend/src/components/ui/scroll-area.stories.tsx b/autogpt_platform/frontend/src/components/ui/scroll-area.stories.tsx
deleted file mode 100644
index 0e2ee1bfb148..000000000000
--- a/autogpt_platform/frontend/src/components/ui/scroll-area.stories.tsx
+++ /dev/null
@@ -1,126 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { ScrollArea } from "./scroll-area";
-
-const meta = {
-  title: "UI/ScrollArea",
-  component: ScrollArea,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    className: { control: "text" },
-  },
-} satisfies Meta<typeof ScrollArea>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    className: "h-[200px] w-[350px] rounded-md border p-4",
-    children: (
-      <div>
-        <p className="mb-4">This is a scrollable area with some content.</p>
-        {Array(20)
-          .fill(0)
-          .map((_, i) => (
-            <div key={i} className="mb-2">
-              Item {i + 1}
-            </div>
-          ))}
-      </div>
-    ),
-  },
-};
-
-export const HorizontalScroll: Story = {
-  args: {
-    className: "h-[100px] w-[350px] rounded-md border",
-    children: (
-      <div className="flex p-4">
-        {Array(20)
-          .fill(0)
-          .map((_, i) => (
-            <div
-              key={i}
-              className="mr-4 flex h-16 w-16 items-center justify-center rounded-md border"
-            >
-              {i + 1}
-            </div>
-          ))}
-      </div>
-    ),
-  },
-};
-
-export const NestedScrollAreas: Story = {
-  args: {
-    className: "h-[300px] w-[350px] rounded-md border p-4",
-    children: (
-      <div>
-        <h4 className="mb-4 text-sm font-medium leading-none">
-          Outer Scroll Area
-        </h4>
-        {Array(3)
-          .fill(0)
-          .map((_, i) => (
-            <div key={i} className="mb-4">
-              <p className="mb-2">Section {i + 1}</p>
-              <ScrollArea className="h-[100px] w-[300px] rounded-md border p-4">
-                <div>
-                  <h5 className="mb-2 text-sm font-medium leading-none">
-                    Inner Scroll Area
-                  </h5>
-                  {Array(10)
-                    .fill(0)
-                    .map((_, j) => (
-                      <div key={j} className="mb-2">
-                        Nested Item {j + 1}
-                      </div>
-                    ))}
-                </div>
-              </ScrollArea>
-            </div>
-          ))}
-      </div>
-    ),
-  },
-};
-
-export const CustomScrollbarColors: Story = {
-  args: {
-    className: "h-[200px] w-[350px] rounded-md border p-4",
-    children: (
-      <div>
-        <p className="mb-4">Customized scrollbar colors.</p>
-        {Array(20)
-          .fill(0)
-          .map((_, i) => (
-            <div key={i} className="mb-2">
-              Item {i + 1}
-            </div>
-          ))}
-      </div>
-    ),
-  },
-  parameters: {
-    backgrounds: { default: "dark" },
-  },
-  decorators: [
-    (Story) => (
-      <div className="dark">
-        <style>
-          {`
-            .dark .custom-scrollbar [data-radix-scroll-area-thumb] {
-              background-color: rgba(255, 255, 255, 0.2);
-            }
-          `}
-        </style>
-        <Story />
-      </div>
-    ),
-  ],
-};
diff --git a/autogpt_platform/frontend/src/components/ui/scroll-area.tsx b/autogpt_platform/frontend/src/components/ui/scroll-area.tsx
index ab4dc3b8c183..6d9cd61b9718 100644
--- a/autogpt_platform/frontend/src/components/ui/scroll-area.tsx
+++ b/autogpt_platform/frontend/src/components/ui/scroll-area.tsx
@@ -7,20 +7,26 @@ import { cn } from "@/lib/utils";
 
 const ScrollArea = React.forwardRef<
   React.ElementRef<typeof ScrollAreaPrimitive.Root>,
-  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.Root>
->(({ className, children, ...props }, ref) => (
+  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.Root> & {
+    orientation?: "vertical" | "horizontal" | "both";
+  }
+>(({ className, children, orientation = "vertical", ...props }, ref) => (
   <ScrollAreaPrimitive.Root
     ref={ref}
-    className={cn("relative overflow-hidden", className)}
+    className={cn("relative", className)}
     {...props}
   >
     <ScrollAreaPrimitive.Viewport
       className="h-full w-full rounded-[inherit]"
-      style={{ overflow: "scroll" }}
+      style={{
+        overflowX: orientation === "vertical" ? "hidden" : "scroll",
+        overflowY: orientation === "horizontal" ? "hidden" : "scroll",
+      }}
     >
       {children}
     </ScrollAreaPrimitive.Viewport>
-    <ScrollBar />
+    {orientation !== "horizontal" && <ScrollBar />}
+    {orientation !== "vertical" && <ScrollBar orientation="horizontal" />}
     <ScrollAreaPrimitive.Corner />
   </ScrollAreaPrimitive.Root>
 ));
diff --git a/autogpt_platform/frontend/src/components/ui/select.stories.tsx b/autogpt_platform/frontend/src/components/ui/select.stories.tsx
deleted file mode 100644
index 0c6995779ac3..000000000000
--- a/autogpt_platform/frontend/src/components/ui/select.stories.tsx
+++ /dev/null
@@ -1,96 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  Select,
-  SelectTrigger,
-  SelectValue,
-  SelectContent,
-  SelectItem,
-} from "./select";
-
-const meta = {
-  title: "UI/Select",
-  component: Select,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    disabled: {
-      control: "boolean",
-    },
-  },
-} satisfies Meta<typeof Select>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const SelectExample = (args: any) => (
-  <Select {...args}>
-    <SelectTrigger className="w-[180px]">
-      <SelectValue placeholder="Select an option" />
-    </SelectTrigger>
-    <SelectContent>
-      <SelectItem value="option1">Option 1</SelectItem>
-      <SelectItem value="option2">Option 2</SelectItem>
-      <SelectItem value="option3">Option 3</SelectItem>
-    </SelectContent>
-  </Select>
-);
-
-export const Default: Story = {
-  render: (args) => <SelectExample {...args} />,
-};
-
-export const Disabled: Story = {
-  render: (args) => <SelectExample {...args} />,
-  args: {
-    disabled: true,
-  },
-};
-
-export const WithPlaceholder: Story = {
-  render: (args) => (
-    <Select {...args}>
-      <SelectTrigger className="w-[180px]">
-        <SelectValue placeholder="Choose an option" />
-      </SelectTrigger>
-      <SelectContent>
-        <SelectItem value="option1">Option 1</SelectItem>
-        <SelectItem value="option2">Option 2</SelectItem>
-        <SelectItem value="option3">Option 3</SelectItem>
-      </SelectContent>
-    </Select>
-  ),
-};
-
-export const WithDefaultValue: Story = {
-  render: (args) => (
-    <Select defaultValue="option2" {...args}>
-      <SelectTrigger className="w-[180px]">
-        <SelectValue />
-      </SelectTrigger>
-      <SelectContent>
-        <SelectItem value="option1">Option 1</SelectItem>
-        <SelectItem value="option2">Option 2</SelectItem>
-        <SelectItem value="option3">Option 3</SelectItem>
-      </SelectContent>
-    </Select>
-  ),
-};
-
-export const CustomTriggerWidth: Story = {
-  render: (args) => (
-    <Select {...args}>
-      <SelectTrigger className="w-[250px]">
-        <SelectValue placeholder="Select an option" />
-      </SelectTrigger>
-      <SelectContent>
-        <SelectItem value="option1">Option 1</SelectItem>
-        <SelectItem value="option2">Option 2</SelectItem>
-        <SelectItem value="option3">Option 3</SelectItem>
-      </SelectContent>
-    </Select>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/separator.stories.tsx b/autogpt_platform/frontend/src/components/ui/separator.stories.tsx
deleted file mode 100644
index 2fb3a5f8f9f2..000000000000
--- a/autogpt_platform/frontend/src/components/ui/separator.stories.tsx
+++ /dev/null
@@ -1,91 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Separator } from "./separator";
-
-const meta = {
-  title: "UI/Separator",
-  component: Separator,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    orientation: {
-      control: "select",
-      options: ["horizontal", "vertical"],
-    },
-    className: { control: "text" },
-  },
-} satisfies Meta<typeof Separator>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {},
-};
-
-export const Horizontal: Story = {
-  args: {
-    orientation: "horizontal",
-  },
-  decorators: [
-    (Story) => (
-      <div style={{ width: "300px" }}>
-        <div>Above</div>
-        <Story />
-        <div>Below</div>
-      </div>
-    ),
-  ],
-};
-
-export const Vertical: Story = {
-  args: {
-    orientation: "vertical",
-  },
-  decorators: [
-    (Story) => (
-      <div style={{ height: "100px", display: "flex", alignItems: "center" }}>
-        <div>Left</div>
-        <Story />
-        <div>Right</div>
-      </div>
-    ),
-  ],
-};
-
-export const CustomStyle: Story = {
-  args: {
-    className: "bg-red-500",
-  },
-  decorators: [
-    (Story) => (
-      <div style={{ width: "300px" }}>
-        <div>Above</div>
-        <Story />
-        <div>Below</div>
-      </div>
-    ),
-  ],
-};
-
-export const WithContent: Story = {
-  render: (args) => (
-    <div className="space-y-1">
-      <h4 className="text-sm font-medium leading-none">Radix Primitives</h4>
-      <p className="text-sm text-muted-foreground">
-        An open-source UI component library.
-      </p>
-      <Separator {...args} />
-      <div className="flex h-5 items-center space-x-4 text-sm">
-        <div>Blog</div>
-        <Separator orientation="vertical" />
-        <div>Docs</div>
-        <Separator orientation="vertical" />
-        <div>Source</div>
-      </div>
-    </div>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/sheet.stories.tsx b/autogpt_platform/frontend/src/components/ui/sheet.stories.tsx
deleted file mode 100644
index aa78d733671f..000000000000
--- a/autogpt_platform/frontend/src/components/ui/sheet.stories.tsx
+++ /dev/null
@@ -1,83 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  Sheet,
-  SheetTrigger,
-  SheetContent,
-  SheetHeader,
-  SheetFooter,
-  SheetTitle,
-  SheetDescription,
-} from "./sheet";
-import { Button } from "./button";
-
-const meta = {
-  title: "UI/Sheet",
-  component: Sheet,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Sheet>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const SheetDemo = ({ side }: { side: "top" | "right" | "bottom" | "left" }) => (
-  <Sheet>
-    <SheetTrigger asChild>
-      <Button variant="outline">Open Sheet</Button>
-    </SheetTrigger>
-    <SheetContent side={side}>
-      <SheetHeader>
-        <SheetTitle>Sheet Title</SheetTitle>
-        <SheetDescription>
-          This is a description of the sheet content.
-        </SheetDescription>
-      </SheetHeader>
-      <div className="py-4">Sheet content goes here.</div>
-      <SheetFooter>
-        <Button>Save changes</Button>
-      </SheetFooter>
-    </SheetContent>
-  </Sheet>
-);
-
-export const Default: Story = {
-  render: () => <SheetDemo side="right" />,
-};
-
-export const Left: Story = {
-  render: () => <SheetDemo side="left" />,
-};
-
-export const Top: Story = {
-  render: () => <SheetDemo side="top" />,
-};
-
-export const Bottom: Story = {
-  render: () => <SheetDemo side="bottom" />,
-};
-
-export const CustomContent: Story = {
-  render: () => (
-    <Sheet>
-      <SheetTrigger asChild>
-        <Button variant="outline">Open Custom Sheet</Button>
-      </SheetTrigger>
-      <SheetContent>
-        <SheetHeader>
-          <SheetTitle>Custom Sheet</SheetTitle>
-        </SheetHeader>
-        <div className="py-4">
-          <p>This sheet has custom content.</p>
-          <ul className="list-disc pl-4 pt-2">
-            <li>Item 1</li>
-            <li>Item 2</li>
-            <li>Item 3</li>
-          </ul>
-        </div>
-      </SheetContent>
-    </Sheet>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/skeleton.tsx b/autogpt_platform/frontend/src/components/ui/skeleton.tsx
new file mode 100644
index 000000000000..c26c4ea9f56a
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/ui/skeleton.tsx
@@ -0,0 +1,15 @@
+import { cn } from "@/lib/utils";
+
+function Skeleton({
+  className,
+  ...props
+}: React.HTMLAttributes<HTMLDivElement>) {
+  return (
+    <div
+      className={cn("animate-pulse rounded-md bg-primary/10", className)}
+      {...props}
+    />
+  );
+}
+
+export { Skeleton };
diff --git a/autogpt_platform/frontend/src/components/ui/switch.stories.tsx b/autogpt_platform/frontend/src/components/ui/switch.stories.tsx
deleted file mode 100644
index 20f1b48ea652..000000000000
--- a/autogpt_platform/frontend/src/components/ui/switch.stories.tsx
+++ /dev/null
@@ -1,55 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Switch } from "./switch";
-
-const meta = {
-  title: "UI/Switch",
-  component: Switch,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    checked: { control: "boolean" },
-    disabled: { control: "boolean" },
-  },
-} satisfies Meta<typeof Switch>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {},
-};
-
-export const Checked: Story = {
-  args: {
-    checked: true,
-  },
-};
-
-export const Disabled: Story = {
-  args: {
-    disabled: true,
-  },
-};
-
-export const CheckedAndDisabled: Story = {
-  args: {
-    checked: true,
-    disabled: true,
-  },
-};
-
-export const WithLabel: Story = {
-  render: (args) => (
-    <div className="flex items-center space-x-2">
-      <Switch {...args} />
-      <label>Toggle me</label>
-    </div>
-  ),
-};
-
-export const CustomSized: Story = {
-  render: (args) => <Switch className="h-6 w-11" {...args} />,
-};
diff --git a/autogpt_platform/frontend/src/components/ui/table.stories.tsx b/autogpt_platform/frontend/src/components/ui/table.stories.tsx
deleted file mode 100644
index 9a51b5a97161..000000000000
--- a/autogpt_platform/frontend/src/components/ui/table.stories.tsx
+++ /dev/null
@@ -1,113 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  Table,
-  TableHeader,
-  TableBody,
-  TableFooter,
-  TableHead,
-  TableRow,
-  TableCell,
-  TableCaption,
-} from "./table";
-
-const meta = {
-  title: "UI/Table",
-  component: Table,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Table>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  render: () => (
-    <Table>
-      <TableCaption>A list of your recent invoices.</TableCaption>
-      <TableHeader>
-        <TableRow>
-          <TableHead>Invoice</TableHead>
-          <TableHead>Status</TableHead>
-          <TableHead>Method</TableHead>
-          <TableHead className="text-right">Amount</TableHead>
-        </TableRow>
-      </TableHeader>
-      <TableBody>
-        <TableRow>
-          <TableCell>INV001</TableCell>
-          <TableCell>Paid</TableCell>
-          <TableCell>Credit Card</TableCell>
-          <TableCell className="text-right">$250.00</TableCell>
-        </TableRow>
-        <TableRow>
-          <TableCell>INV002</TableCell>
-          <TableCell>Pending</TableCell>
-          <TableCell>PayPal</TableCell>
-          <TableCell className="text-right">$150.00</TableCell>
-        </TableRow>
-      </TableBody>
-      <TableFooter>
-        <TableRow>
-          <TableCell colSpan={3}>Total</TableCell>
-          <TableCell className="text-right">$400.00</TableCell>
-        </TableRow>
-      </TableFooter>
-    </Table>
-  ),
-};
-
-export const WithoutFooter: Story = {
-  render: () => (
-    <Table>
-      <TableHeader>
-        <TableRow>
-          <TableHead>Name</TableHead>
-          <TableHead>Email</TableHead>
-          <TableHead>Role</TableHead>
-        </TableRow>
-      </TableHeader>
-      <TableBody>
-        <TableRow>
-          <TableCell>Alice Johnson</TableCell>
-          <TableCell>alice@example.com</TableCell>
-          <TableCell>Admin</TableCell>
-        </TableRow>
-        <TableRow>
-          <TableCell>Bob Smith</TableCell>
-          <TableCell>bob@example.com</TableCell>
-          <TableCell>User</TableCell>
-        </TableRow>
-      </TableBody>
-    </Table>
-  ),
-};
-
-export const WithCustomStyles: Story = {
-  render: () => (
-    <Table className="border-2 border-primary">
-      <TableHeader>
-        <TableRow>
-          <TableHead className="bg-primary text-primary-foreground">
-            Column 1
-          </TableHead>
-          <TableHead className="bg-primary text-primary-foreground">
-            Column 2
-          </TableHead>
-        </TableRow>
-      </TableHeader>
-      <TableBody>
-        <TableRow>
-          <TableCell>Value 1</TableCell>
-          <TableCell>Value 2</TableCell>
-        </TableRow>
-        <TableRow>
-          <TableCell>Value 3</TableCell>
-          <TableCell>Value 4</TableCell>
-        </TableRow>
-      </TableBody>
-    </Table>
-  ),
-};
diff --git a/autogpt_platform/frontend/src/components/ui/tabs.tsx b/autogpt_platform/frontend/src/components/ui/tabs.tsx
new file mode 100644
index 000000000000..2090bc42e59d
--- /dev/null
+++ b/autogpt_platform/frontend/src/components/ui/tabs.tsx
@@ -0,0 +1,76 @@
+"use client";
+
+import * as React from "react";
+import * as TabsPrimitive from "@radix-ui/react-tabs";
+
+import { cn } from "@/lib/utils";
+
+const Tabs = TabsPrimitive.Root;
+
+const TabsList = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.List>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.List>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.List
+    ref={ref}
+    className={cn(
+      "inline-flex h-10 w-80 items-center justify-center rounded-3xl bg-gray-100 p-[5px] text-neutral-500 dark:bg-neutral-800 dark:text-neutral-400",
+      className,
+    )}
+    {...props}
+  />
+));
+TabsList.displayName = TabsPrimitive.List.displayName;
+
+const TabsTrigger = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.Trigger>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.Trigger
+    ref={ref}
+    className={cn(
+      "flex flex-1 items-start justify-center gap-2.5 whitespace-nowrap rounded-2xl px-3 py-2 text-center font-sans text-xs font-medium leading-tight text-gray-500 ring-offset-white transition-all",
+      "focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-neutral-950 focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50",
+      "data-[state=active]:bg-background data-[state=active]:text-foreground data-[state=active]:shadow-subtle",
+      className,
+    )}
+    {...props}
+  />
+));
+TabsTrigger.displayName = TabsPrimitive.Trigger.displayName;
+
+const TabsContent = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.Content>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.Content
+    ref={ref}
+    className={cn(
+      "mt-2 ring-offset-white focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-neutral-950 focus-visible:ring-offset-2 dark:ring-offset-neutral-950 dark:focus-visible:ring-neutral-300",
+      className,
+    )}
+    {...props}
+  />
+));
+TabsContent.displayName = TabsPrimitive.Content.displayName;
+
+export { Tabs, TabsList, TabsTrigger, TabsContent };
+
+<div className="inline-flex h-10 w-80 items-start justify-start rounded-3xl bg-gray-100 p-[5px]">
+  <div
+    data-state="selected"
+    className="flex flex-1 items-start justify-start gap-2.5 rounded-2xl bg-background px-3 py-1.5 shadow-subtle"
+  >
+    <div className="flex-1 justify-start text-center font-['Geist'] text-xs font-medium leading-tight text-foreground">
+      \ One-time top up
+    </div>
+  </div>
+  <div
+    data-state="unselected"
+    className="flex flex-1 items-start justify-start gap-2.5 rounded-sm px-3 py-1.5"
+  >
+    <div className="flex-1 justify-start text-center font-['Geist'] text-xs font-medium leading-tight text-gray-500">
+      Auto-refill
+    </div>
+  </div>
+</div>;
diff --git a/autogpt_platform/frontend/src/components/ui/textarea.stories.tsx b/autogpt_platform/frontend/src/components/ui/textarea.stories.tsx
deleted file mode 100644
index a2a3c28da307..000000000000
--- a/autogpt_platform/frontend/src/components/ui/textarea.stories.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Textarea } from "./textarea";
-
-const meta = {
-  title: "UI/Textarea",
-  component: Textarea,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    placeholder: { control: "text" },
-    disabled: { control: "boolean" },
-  },
-} satisfies Meta<typeof Textarea>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    placeholder: "Type your message here.",
-  },
-};
-
-export const Disabled: Story = {
-  args: {
-    placeholder: "This textarea is disabled",
-    disabled: true,
-  },
-};
-
-export const WithValue: Story = {
-  args: {
-    value: "This is some pre-filled text in the textarea.",
-  },
-};
-
-export const CustomSized: Story = {
-  args: {
-    placeholder: "Custom sized textarea",
-    className: "w-[300px] h-[150px]",
-  },
-};
-
-export const WithLabel: Story = {
-  render: (args) => (
-    <div className="space-y-2">
-      <label htmlFor="message" className="text-sm font-medium">
-        Your message
-      </label>
-      <Textarea id="message" {...args} />
-    </div>
-  ),
-  args: {
-    placeholder: "Type your message here.",
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/textarea.tsx b/autogpt_platform/frontend/src/components/ui/textarea.tsx
index 221f6a243ce0..6daf0f7ba02c 100644
--- a/autogpt_platform/frontend/src/components/ui/textarea.tsx
+++ b/autogpt_platform/frontend/src/components/ui/textarea.tsx
@@ -2,15 +2,14 @@ import * as React from "react";
 
 import { cn } from "@/lib/utils";
 
-export interface TextareaProps
-  extends React.TextareaHTMLAttributes<HTMLTextAreaElement> {}
+export type TextareaProps = React.TextareaHTMLAttributes<HTMLTextAreaElement>;
 
 const Textarea = React.forwardRef<HTMLTextAreaElement, TextareaProps>(
   ({ className, ...props }, ref) => {
     return (
       <textarea
         className={cn(
-          "agpt-border-input flex min-h-[80px] w-full rounded-md border bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
+          "agpt-border-input flex min-h-[80px] w-full rounded-md border bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50",
           className,
         )}
         ref={ref}
diff --git a/autogpt_platform/frontend/src/components/ui/toast.stories.tsx b/autogpt_platform/frontend/src/components/ui/toast.stories.tsx
deleted file mode 100644
index 101c83247c0d..000000000000
--- a/autogpt_platform/frontend/src/components/ui/toast.stories.tsx
+++ /dev/null
@@ -1,100 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import {
-  Toast,
-  ToastProvider,
-  ToastViewport,
-  ToastTitle,
-  ToastDescription,
-  ToastClose,
-  ToastAction,
-} from "./toast";
-
-const meta = {
-  title: "UI/Toast",
-  component: Toast,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  argTypes: {
-    variant: {
-      control: "select",
-      options: ["default", "destructive"],
-    },
-  },
-  decorators: [
-    (Story) => (
-      <ToastProvider>
-        <Story />
-        <ToastViewport />
-      </ToastProvider>
-    ),
-  ],
-} satisfies Meta<typeof Toast>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: (
-      <>
-        <ToastTitle>Default Toast</ToastTitle>
-        <ToastDescription>This is a default toast message.</ToastDescription>
-      </>
-    ),
-  },
-};
-
-export const Destructive: Story = {
-  args: {
-    variant: "destructive",
-    children: (
-      <>
-        <ToastTitle>Destructive Toast</ToastTitle>
-        <ToastDescription>
-          This is a destructive toast message.
-        </ToastDescription>
-      </>
-    ),
-  },
-};
-
-export const WithAction: Story = {
-  args: {
-    children: (
-      <>
-        <ToastTitle>Toast with Action</ToastTitle>
-        <ToastDescription>This toast has an action button.</ToastDescription>
-        <ToastAction altText="Try again">Try again</ToastAction>
-      </>
-    ),
-  },
-};
-
-export const WithClose: Story = {
-  args: {
-    children: (
-      <>
-        <ToastTitle>Closable Toast</ToastTitle>
-        <ToastDescription>This toast can be closed.</ToastDescription>
-        <ToastClose />
-      </>
-    ),
-  },
-};
-
-export const CustomContent: Story = {
-  args: {
-    children: (
-      <>
-        <div className="flex items-center">
-          <span className="mr-2">🎉</span>
-          <ToastTitle>Custom Toast</ToastTitle>
-        </div>
-        <ToastDescription>This toast has custom content.</ToastDescription>
-      </>
-    ),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/toast.tsx b/autogpt_platform/frontend/src/components/ui/toast.tsx
deleted file mode 100644
index 78a6407e4aeb..000000000000
--- a/autogpt_platform/frontend/src/components/ui/toast.tsx
+++ /dev/null
@@ -1,130 +0,0 @@
-"use client";
-
-import * as React from "react";
-import { Cross2Icon } from "@radix-ui/react-icons";
-import * as ToastPrimitives from "@radix-ui/react-toast";
-import { cva, type VariantProps } from "class-variance-authority";
-
-import { cn } from "@/lib/utils";
-
-const ToastProvider = ToastPrimitives.Provider;
-
-const ToastViewport = React.forwardRef<
-  React.ElementRef<typeof ToastPrimitives.Viewport>,
-  React.ComponentPropsWithoutRef<typeof ToastPrimitives.Viewport>
->(({ className, ...props }, ref) => (
-  <ToastPrimitives.Viewport
-    ref={ref}
-    className={cn(
-      "fixed top-0 z-[100] flex max-h-screen w-full flex-col-reverse p-4 sm:bottom-0 sm:right-0 sm:top-auto sm:flex-col md:max-w-[420px]",
-      className,
-    )}
-    {...props}
-  />
-));
-ToastViewport.displayName = ToastPrimitives.Viewport.displayName;
-
-const toastVariants = cva(
-  "whitespace-pre-line group pointer-events-auto relative flex w-full items-center justify-between space-x-2 overflow-hidden rounded-md border border-neutral-200 p-4 pr-6 shadow-lg transition-all data-[swipe=cancel]:translate-x-0 data-[swipe=end]:translate-x-[var(--radix-toast-swipe-end-x)] data-[swipe=move]:translate-x-[var(--radix-toast-swipe-move-x)] data-[swipe=move]:transition-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[swipe=end]:animate-out data-[state=closed]:fade-out-80 data-[state=closed]:slide-out-to-right-full data-[state=open]:slide-in-from-top-full data-[state=open]:sm:slide-in-from-bottom-full dark:border-neutral-800",
-  {
-    variants: {
-      variant: {
-        default:
-          "border bg-white text-neutral-950 dark:bg-neutral-950 dark:text-neutral-50",
-        destructive:
-          "destructive group border-red-500 bg-red-500 text-neutral-50 dark:border-red-900 dark:bg-red-900 dark:text-neutral-50",
-      },
-    },
-    defaultVariants: {
-      variant: "default",
-    },
-  },
-);
-
-const Toast = React.forwardRef<
-  React.ElementRef<typeof ToastPrimitives.Root>,
-  React.ComponentPropsWithoutRef<typeof ToastPrimitives.Root> &
-    VariantProps<typeof toastVariants>
->(({ className, variant, ...props }, ref) => {
-  return (
-    <ToastPrimitives.Root
-      ref={ref}
-      className={cn(toastVariants({ variant }), className)}
-      {...props}
-    />
-  );
-});
-Toast.displayName = ToastPrimitives.Root.displayName;
-
-const ToastAction = React.forwardRef<
-  React.ElementRef<typeof ToastPrimitives.Action>,
-  React.ComponentPropsWithoutRef<typeof ToastPrimitives.Action>
->(({ className, ...props }, ref) => (
-  <ToastPrimitives.Action
-    ref={ref}
-    className={cn(
-      "inline-flex h-8 shrink-0 items-center justify-center rounded-md border border-neutral-200 bg-transparent px-3 text-sm font-medium transition-colors hover:bg-neutral-100 focus:outline-none focus:ring-1 focus:ring-neutral-950 disabled:pointer-events-none disabled:opacity-50 group-[.destructive]:border-neutral-100/40 group-[.destructive]:hover:border-red-500/30 group-[.destructive]:hover:bg-red-500 group-[.destructive]:hover:text-neutral-50 group-[.destructive]:focus:ring-red-500 dark:border-neutral-800 dark:hover:bg-neutral-800 dark:focus:ring-neutral-300 dark:group-[.destructive]:border-neutral-800/40 dark:group-[.destructive]:hover:border-red-900/30 dark:group-[.destructive]:hover:bg-red-900 dark:group-[.destructive]:hover:text-neutral-50 dark:group-[.destructive]:focus:ring-red-900",
-      className,
-    )}
-    {...props}
-  />
-));
-ToastAction.displayName = ToastPrimitives.Action.displayName;
-
-const ToastClose = React.forwardRef<
-  React.ElementRef<typeof ToastPrimitives.Close>,
-  React.ComponentPropsWithoutRef<typeof ToastPrimitives.Close>
->(({ className, ...props }, ref) => (
-  <ToastPrimitives.Close
-    ref={ref}
-    className={cn(
-      "absolute right-1 top-1 rounded-md p-1 text-neutral-950/50 opacity-0 transition-opacity hover:text-neutral-950 focus:opacity-100 focus:outline-none focus:ring-1 group-hover:opacity-100 group-[.destructive]:text-red-300 group-[.destructive]:hover:text-red-50 group-[.destructive]:focus:ring-red-400 group-[.destructive]:focus:ring-offset-red-600 dark:text-neutral-50/50 dark:hover:text-neutral-50",
-      className,
-    )}
-    toast-close=""
-    {...props}
-  >
-    <Cross2Icon className="h-4 w-4" />
-  </ToastPrimitives.Close>
-));
-ToastClose.displayName = ToastPrimitives.Close.displayName;
-
-const ToastTitle = React.forwardRef<
-  React.ElementRef<typeof ToastPrimitives.Title>,
-  React.ComponentPropsWithoutRef<typeof ToastPrimitives.Title>
->(({ className, ...props }, ref) => (
-  <ToastPrimitives.Title
-    ref={ref}
-    className={cn("text-sm font-semibold [&+div]:text-xs", className)}
-    {...props}
-  />
-));
-ToastTitle.displayName = ToastPrimitives.Title.displayName;
-
-const ToastDescription = React.forwardRef<
-  React.ElementRef<typeof ToastPrimitives.Description>,
-  React.ComponentPropsWithoutRef<typeof ToastPrimitives.Description>
->(({ className, ...props }, ref) => (
-  <ToastPrimitives.Description
-    ref={ref}
-    className={cn("text-sm opacity-90", className)}
-    {...props}
-  />
-));
-ToastDescription.displayName = ToastPrimitives.Description.displayName;
-
-type ToastProps = React.ComponentPropsWithoutRef<typeof Toast>;
-
-type ToastActionElement = React.ReactElement<typeof ToastAction>;
-
-export {
-  type ToastProps,
-  type ToastActionElement,
-  ToastProvider,
-  ToastViewport,
-  Toast,
-  ToastTitle,
-  ToastDescription,
-  ToastClose,
-  ToastAction,
-};
diff --git a/autogpt_platform/frontend/src/components/ui/toaster.stories.tsx b/autogpt_platform/frontend/src/components/ui/toaster.stories.tsx
deleted file mode 100644
index e756f02998bc..000000000000
--- a/autogpt_platform/frontend/src/components/ui/toaster.stories.tsx
+++ /dev/null
@@ -1,125 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-
-import { Toaster } from "./toaster";
-import { useToast } from "./use-toast";
-import { Button } from "./button";
-
-const meta = {
-  title: "UI/Toaster",
-  component: Toaster,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-} satisfies Meta<typeof Toaster>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const ToasterDemo = () => {
-  const { toast } = useToast();
-
-  return (
-    <div>
-      <Button
-        onClick={() =>
-          toast({
-            title: "Toast Title",
-            description: "This is a toast description",
-          })
-        }
-      >
-        Show Toast
-      </Button>
-      <Toaster />
-    </div>
-  );
-};
-
-export const Default: Story = {
-  render: () => <ToasterDemo />,
-};
-
-export const WithTitle: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <div>
-        <Button
-          onClick={() =>
-            toast({
-              title: "Toast with Title",
-            })
-          }
-        >
-          Show Toast with Title
-        </Button>
-        <Toaster />
-      </div>
-    );
-  },
-};
-
-export const WithDescription: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <div>
-        <Button
-          onClick={() =>
-            toast({
-              description: "This is a toast with only a description",
-            })
-          }
-        >
-          Show Toast with Description
-        </Button>
-        <Toaster />
-      </div>
-    );
-  },
-};
-
-export const WithAction: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <div>
-        <Button
-          onClick={() =>
-            toast({
-              title: "Toast with Action",
-              description: "This toast has an action button.",
-              action: <Button variant="outline">Action</Button>,
-            })
-          }
-        >
-          Show Toast with Action
-        </Button>
-        <Toaster />
-      </div>
-    );
-  },
-};
-
-export const Destructive: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <div>
-        <Button
-          onClick={() =>
-            toast({
-              variant: "destructive",
-              title: "Destructive Toast",
-              description: "This is a destructive toast message.",
-            })
-          }
-        >
-          Show Destructive Toast
-        </Button>
-        <Toaster />
-      </div>
-    );
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/toaster.tsx b/autogpt_platform/frontend/src/components/ui/toaster.tsx
deleted file mode 100644
index 7d82ed557130..000000000000
--- a/autogpt_platform/frontend/src/components/ui/toaster.tsx
+++ /dev/null
@@ -1,35 +0,0 @@
-"use client";
-
-import {
-  Toast,
-  ToastClose,
-  ToastDescription,
-  ToastProvider,
-  ToastTitle,
-  ToastViewport,
-} from "@/components/ui/toast";
-import { useToast } from "@/components/ui/use-toast";
-
-export function Toaster() {
-  const { toasts } = useToast();
-
-  return (
-    <ToastProvider>
-      {toasts.map(function ({ id, title, description, action, ...props }) {
-        return (
-          <Toast key={id} {...props}>
-            <div className="grid gap-1">
-              {title && <ToastTitle>{title}</ToastTitle>}
-              {description && (
-                <ToastDescription>{description}</ToastDescription>
-              )}
-            </div>
-            {action}
-            <ToastClose />
-          </Toast>
-        );
-      })}
-      <ToastViewport />
-    </ToastProvider>
-  );
-}
diff --git a/autogpt_platform/frontend/src/components/ui/tooltip.stories.tsx b/autogpt_platform/frontend/src/components/ui/tooltip.stories.tsx
deleted file mode 100644
index 41835c6c51bf..000000000000
--- a/autogpt_platform/frontend/src/components/ui/tooltip.stories.tsx
+++ /dev/null
@@ -1,99 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-import { Button } from "./button";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipProvider,
-  TooltipTrigger,
-} from "./tooltip";
-
-const meta = {
-  title: "UI/Tooltip",
-  component: Tooltip,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  decorators: [
-    (Story) => (
-      <TooltipProvider>
-        <Story />
-      </TooltipProvider>
-    ),
-  ],
-  argTypes: {
-    children: { control: "text" },
-    delayDuration: { control: "number" },
-  },
-} satisfies Meta<typeof Tooltip>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  args: {
-    children: (
-      <>
-        <TooltipTrigger asChild>
-          <Button variant="outline">Hover me</Button>
-        </TooltipTrigger>
-        <TooltipContent>
-          <p>This is a tooltip</p>
-        </TooltipContent>
-      </>
-    ),
-  },
-};
-
-export const LongContent: Story = {
-  args: {
-    children: (
-      <>
-        <TooltipTrigger asChild>
-          <Button variant="outline">Hover for long content</Button>
-        </TooltipTrigger>
-        <TooltipContent>
-          <p>
-            This is a tooltip with longer content that might wrap to multiple
-            lines.
-          </p>
-        </TooltipContent>
-      </>
-    ),
-  },
-};
-
-export const CustomDelay: Story = {
-  args: {
-    delayDuration: 1000,
-    children: (
-      <>
-        <TooltipTrigger asChild>
-          <Button variant="outline">Hover with delay</Button>
-        </TooltipTrigger>
-        <TooltipContent>
-          <p>This tooltip has a 1 second delay</p>
-        </TooltipContent>
-      </>
-    ),
-  },
-};
-
-export const CustomContent: Story = {
-  args: {
-    children: (
-      <>
-        <TooltipTrigger asChild>
-          <Button variant="outline">Hover for custom content</Button>
-        </TooltipTrigger>
-        <TooltipContent>
-          <div className="flex items-center">
-            <span className="mr-2">🚀</span>
-            <p>Custom tooltip content</p>
-          </div>
-        </TooltipContent>
-      </>
-    ),
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/tooltip.tsx b/autogpt_platform/frontend/src/components/ui/tooltip.tsx
index dbc5383e4d0d..016d329d5c2f 100644
--- a/autogpt_platform/frontend/src/components/ui/tooltip.tsx
+++ b/autogpt_platform/frontend/src/components/ui/tooltip.tsx
@@ -7,7 +7,13 @@ import { cn } from "@/lib/utils";
 
 const TooltipProvider = TooltipPrimitive.Provider;
 
-const Tooltip = ({ children, delayDuration = 10 }) => (
+const Tooltip = ({
+  children,
+  delayDuration = 10,
+}: {
+  children: React.ReactNode;
+  delayDuration?: number;
+}) => (
   <TooltipPrimitive.Root delayDuration={delayDuration}>
     {children}
   </TooltipPrimitive.Root>
diff --git a/autogpt_platform/frontend/src/components/ui/use-toast.stories.tsx b/autogpt_platform/frontend/src/components/ui/use-toast.stories.tsx
deleted file mode 100644
index abdc24b1131d..000000000000
--- a/autogpt_platform/frontend/src/components/ui/use-toast.stories.tsx
+++ /dev/null
@@ -1,111 +0,0 @@
-import React from "react";
-import type { Meta, StoryObj } from "@storybook/react";
-import { Button } from "./button";
-import { useToast } from "./use-toast";
-import { Toaster } from "./toaster";
-
-const meta = {
-  title: "UI/UseToast",
-  component: () => null, // UseToast is a hook, not a component
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  decorators: [
-    (Story) => (
-      <>
-        <Story />
-        <Toaster />
-      </>
-    ),
-  ],
-} satisfies Meta<typeof useToast>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const Default: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <Button onClick={() => toast({ title: "Default Toast" })}>
-        Show Default Toast
-      </Button>
-    );
-  },
-};
-
-export const WithDescription: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <Button
-        onClick={() =>
-          toast({
-            title: "Toast with Description",
-            description: "This is a more detailed toast message.",
-          })
-        }
-      >
-        Show Toast with Description
-      </Button>
-    );
-  },
-};
-
-export const Destructive: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <Button
-        onClick={() =>
-          toast({
-            variant: "destructive",
-            title: "Destructive Toast",
-            description: "This action cannot be undone.",
-          })
-        }
-      >
-        Show Destructive Toast
-      </Button>
-    );
-  },
-};
-
-export const WithAction: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <Button
-        onClick={() =>
-          toast({
-            title: "Toast with Action",
-            description: "Click the action button to do something.",
-            action: <Button variant="outline">Action</Button>,
-          })
-        }
-      >
-        Show Toast with Action
-      </Button>
-    );
-  },
-};
-
-export const CustomDuration: Story = {
-  render: () => {
-    const { toast } = useToast();
-    return (
-      <Button
-        onClick={() =>
-          toast({
-            title: "Custom Duration Toast",
-            description: "This toast will disappear after 5 seconds.",
-            duration: 5000,
-          })
-        }
-      >
-        Show Custom Duration Toast
-      </Button>
-    );
-  },
-};
diff --git a/autogpt_platform/frontend/src/components/ui/use-toast.tsx b/autogpt_platform/frontend/src/components/ui/use-toast.tsx
deleted file mode 100644
index 6555e795c1ed..000000000000
--- a/autogpt_platform/frontend/src/components/ui/use-toast.tsx
+++ /dev/null
@@ -1,191 +0,0 @@
-"use client";
-
-// Inspired by react-hot-toast library
-import * as React from "react";
-
-import type { ToastActionElement, ToastProps } from "@/components/ui/toast";
-
-const TOAST_LIMIT = 1;
-const TOAST_REMOVE_DELAY = 1000000;
-
-type ToasterToast = ToastProps & {
-  id: string;
-  title?: React.ReactNode;
-  description?: React.ReactNode;
-  action?: ToastActionElement;
-};
-
-const actionTypes = {
-  ADD_TOAST: "ADD_TOAST",
-  UPDATE_TOAST: "UPDATE_TOAST",
-  DISMISS_TOAST: "DISMISS_TOAST",
-  REMOVE_TOAST: "REMOVE_TOAST",
-} as const;
-
-let count = 0;
-
-function genId() {
-  count = (count + 1) % Number.MAX_SAFE_INTEGER;
-  return count.toString();
-}
-
-type ActionType = typeof actionTypes;
-
-type Action =
-  | {
-      type: ActionType["ADD_TOAST"];
-      toast: ToasterToast;
-    }
-  | {
-      type: ActionType["UPDATE_TOAST"];
-      toast: Partial<ToasterToast>;
-    }
-  | {
-      type: ActionType["DISMISS_TOAST"];
-      toastId?: ToasterToast["id"];
-    }
-  | {
-      type: ActionType["REMOVE_TOAST"];
-      toastId?: ToasterToast["id"];
-    };
-
-interface State {
-  toasts: ToasterToast[];
-}
-
-const toastTimeouts = new Map<string, ReturnType<typeof setTimeout>>();
-
-const addToRemoveQueue = (toastId: string) => {
-  if (toastTimeouts.has(toastId)) {
-    return;
-  }
-
-  const timeout = setTimeout(() => {
-    toastTimeouts.delete(toastId);
-    dispatch({
-      type: "REMOVE_TOAST",
-      toastId: toastId,
-    });
-  }, TOAST_REMOVE_DELAY);
-
-  toastTimeouts.set(toastId, timeout);
-};
-
-export const reducer = (state: State, action: Action): State => {
-  switch (action.type) {
-    case "ADD_TOAST":
-      return {
-        ...state,
-        toasts: [action.toast, ...state.toasts].slice(0, TOAST_LIMIT),
-      };
-
-    case "UPDATE_TOAST":
-      return {
-        ...state,
-        toasts: state.toasts.map((t) =>
-          t.id === action.toast.id ? { ...t, ...action.toast } : t,
-        ),
-      };
-
-    case "DISMISS_TOAST": {
-      const { toastId } = action;
-
-      // ! Side effects ! - This could be extracted into a dismissToast() action,
-      // but I'll keep it here for simplicity
-      if (toastId) {
-        addToRemoveQueue(toastId);
-      } else {
-        state.toasts.forEach((toast) => {
-          addToRemoveQueue(toast.id);
-        });
-      }
-
-      return {
-        ...state,
-        toasts: state.toasts.map((t) =>
-          t.id === toastId || toastId === undefined
-            ? {
-                ...t,
-                open: false,
-              }
-            : t,
-        ),
-      };
-    }
-    case "REMOVE_TOAST":
-      if (action.toastId === undefined) {
-        return {
-          ...state,
-          toasts: [],
-        };
-      }
-      return {
-        ...state,
-        toasts: state.toasts.filter((t) => t.id !== action.toastId),
-      };
-  }
-};
-
-const listeners: Array<(state: State) => void> = [];
-
-let memoryState: State = { toasts: [] };
-
-function dispatch(action: Action) {
-  memoryState = reducer(memoryState, action);
-  listeners.forEach((listener) => {
-    listener(memoryState);
-  });
-}
-
-type Toast = Omit<ToasterToast, "id">;
-
-function toast({ ...props }: Toast) {
-  const id = genId();
-
-  const update = (props: ToasterToast) =>
-    dispatch({
-      type: "UPDATE_TOAST",
-      toast: { ...props, id },
-    });
-  const dismiss = () => dispatch({ type: "DISMISS_TOAST", toastId: id });
-
-  dispatch({
-    type: "ADD_TOAST",
-    toast: {
-      ...props,
-      id,
-      open: true,
-      onOpenChange: (open) => {
-        if (!open) dismiss();
-      },
-    },
-  });
-
-  return {
-    id: id,
-    dismiss,
-    update,
-  };
-}
-
-function useToast() {
-  const [state, setState] = React.useState<State>(memoryState);
-
-  React.useEffect(() => {
-    listeners.push(setState);
-    return () => {
-      const index = listeners.indexOf(setState);
-      if (index > -1) {
-        listeners.splice(index, 1);
-      }
-    };
-  }, [state]);
-
-  return {
-    ...state,
-    toast,
-    dismiss: (toastId?: string) => dispatch({ type: "DISMISS_TOAST", toastId }),
-  };
-}
-
-export { useToast, toast };
diff --git a/autogpt_platform/frontend/src/hooks/useAgentGraph.ts b/autogpt_platform/frontend/src/hooks/useAgentGraph.ts
deleted file mode 100644
index a57ce027d37d..000000000000
--- a/autogpt_platform/frontend/src/hooks/useAgentGraph.ts
+++ /dev/null
@@ -1,963 +0,0 @@
-import { CustomEdge } from "@/components/CustomEdge";
-import { CustomNode } from "@/components/CustomNode";
-import BackendAPI, {
-  Block,
-  BlockIOSubSchema,
-  BlockUIType,
-  Graph,
-  Link,
-  NodeExecutionResult,
-} from "@/lib/autogpt-server-api";
-import {
-  deepEquals,
-  getTypeColor,
-  removeEmptyStringsAndNulls,
-  setNestedProperty,
-} from "@/lib/utils";
-import { Connection, MarkerType } from "@xyflow/react";
-import Ajv from "ajv";
-import { useCallback, useEffect, useMemo, useRef, useState } from "react";
-import { useRouter, useSearchParams, usePathname } from "next/navigation";
-import { useToast } from "@/components/ui/use-toast";
-import { InputItem } from "@/components/RunnerUIWrapper";
-import { GraphMeta } from "@/lib/autogpt-server-api";
-
-const ajv = new Ajv({ strict: false, allErrors: true });
-
-export default function useAgentGraph(
-  flowID?: string,
-  passDataToBeads?: boolean,
-) {
-  const { toast } = useToast();
-  const [router, searchParams, pathname] = [
-    useRouter(),
-    useSearchParams(),
-    usePathname(),
-  ];
-  const [isScheduling, setIsScheduling] = useState(false);
-  const [savedAgent, setSavedAgent] = useState<Graph | null>(null);
-  const [agentDescription, setAgentDescription] = useState<string>("");
-  const [agentName, setAgentName] = useState<string>("");
-  const [availableNodes, setAvailableNodes] = useState<Block[]>([]);
-  const [availableFlows, setAvailableFlows] = useState<GraphMeta[]>([]);
-  const [updateQueue, setUpdateQueue] = useState<NodeExecutionResult[]>([]);
-  const processedUpdates = useRef<NodeExecutionResult[]>([]);
-  /**
-   * User `request` to save or save&run the agent, or to stop the active run.
-   * `state` is used to track the request status:
-   * - none: no request
-   * - saving: request was sent to save the agent
-   *   and nodes are pending sync to update their backend ids
-   * - running: request was sent to run the agent
-   *   and frontend is enqueueing execution results
-   * - stopping: a request to stop the active run has been sent; response is pending
-   * - error: request failed
-   */
-  const [saveRunRequest, setSaveRunRequest] = useState<
-    | {
-        request: "none" | "save" | "run";
-        state: "none" | "saving" | "error";
-      }
-    | {
-        request: "run" | "stop";
-        state: "running" | "stopping" | "error";
-        activeExecutionID?: string;
-      }
-  >({
-    request: "none",
-    state: "none",
-  });
-  // Determines if nodes backend ids are synced with saved agent (actual ids on the backend)
-  const [nodesSyncedWithSavedAgent, setNodesSyncedWithSavedAgent] =
-    useState(false);
-  const [nodes, setNodes] = useState<CustomNode[]>([]);
-  const [edges, setEdges] = useState<CustomEdge[]>([]);
-
-  const api = useMemo(
-    () => new BackendAPI(process.env.NEXT_PUBLIC_AGPT_SERVER_URL!),
-    [],
-  );
-
-  // Connect to WebSocket
-  useEffect(() => {
-    api
-      .connectWebSocket()
-      .then(() => {
-        console.debug("WebSocket connected");
-        api.onWebSocketMessage("execution_event", (data) => {
-          setUpdateQueue((prev) => [...prev, data]);
-        });
-      })
-      .catch((error) => {
-        console.error("Failed to connect WebSocket:", error);
-      });
-
-    return () => {
-      api.disconnectWebSocket();
-    };
-  }, [api]);
-
-  // Load available blocks & flows
-  useEffect(() => {
-    api
-      .getBlocks()
-      .then((blocks) => setAvailableNodes(blocks))
-      .catch();
-
-    api
-      .listGraphs()
-      .then((flows) => setAvailableFlows(flows))
-      .catch();
-  }, [api]);
-
-  //TODO to utils? repeated in Flow
-  const formatEdgeID = useCallback((conn: Link | Connection): string => {
-    if ("sink_id" in conn) {
-      return `${conn.source_id}_${conn.source_name}_${conn.sink_id}_${conn.sink_name}`;
-    } else {
-      return `${conn.source}_${conn.sourceHandle}_${conn.target}_${conn.targetHandle}`;
-    }
-  }, []);
-
-  const getOutputType = useCallback(
-    (nodes: CustomNode[], nodeId: string, handleId: string) => {
-      const node = nodes.find((n) => n.id === nodeId);
-      if (!node) return "unknown";
-
-      const outputSchema = node.data.outputSchema;
-      if (!outputSchema) return "unknown";
-
-      const outputHandle = outputSchema.properties[handleId] || {};
-      if (!("type" in outputHandle)) return "unknown";
-      return outputHandle.type;
-    },
-    [],
-  );
-
-  // Load existing graph
-  const loadGraph = useCallback(
-    (graph: Graph) => {
-      setSavedAgent(graph);
-      setAgentName(graph.name);
-      setAgentDescription(graph.description);
-
-      setNodes(() => {
-        const newNodes = graph.nodes.map((node) => {
-          const block = availableNodes.find(
-            (block) => block.id === node.block_id,
-          )!;
-          const flow =
-            block.uiType == BlockUIType.AGENT
-              ? availableFlows.find(
-                  (flow) => flow.id === node.input_default.graph_id,
-                )
-              : null;
-          const newNode: CustomNode = {
-            id: node.id,
-            type: "custom",
-            position: {
-              x: node?.metadata?.position?.x || 0,
-              y: node?.metadata?.position?.y || 0,
-            },
-            data: {
-              block_id: block.id,
-              blockType: flow?.name || block.name,
-              blockCosts: block.costs,
-              categories: block.categories,
-              description: block.description,
-              title: `${block.name} ${node.id}`,
-              inputSchema: block.inputSchema,
-              outputSchema: block.outputSchema,
-              hardcodedValues: node.input_default,
-              webhook: node.webhook,
-              uiType: block.uiType,
-              connections: graph.links
-                .filter((l) => [l.source_id, l.sink_id].includes(node.id))
-                .map((link) => ({
-                  edge_id: formatEdgeID(link),
-                  source: link.source_id,
-                  sourceHandle: link.source_name,
-                  target: link.sink_id,
-                  targetHandle: link.sink_name,
-                })),
-              isOutputOpen: false,
-            },
-          };
-          return newNode;
-        });
-        setEdges((_) =>
-          graph.links.map((link) => ({
-            id: formatEdgeID(link),
-            type: "custom",
-            data: {
-              edgeColor: getTypeColor(
-                getOutputType(newNodes, link.source_id, link.source_name!),
-              ),
-              sourcePos: newNodes.find((node) => node.id === link.source_id)
-                ?.position,
-              isStatic: link.is_static,
-              beadUp: 0,
-              beadDown: 0,
-              beadData: [],
-            },
-            markerEnd: {
-              type: MarkerType.ArrowClosed,
-              strokeWidth: 2,
-              color: getTypeColor(
-                getOutputType(newNodes, link.source_id, link.source_name!),
-              ),
-            },
-            source: link.source_id,
-            target: link.sink_id,
-            sourceHandle: link.source_name || undefined,
-            targetHandle: link.sink_name || undefined,
-          })),
-        );
-        return newNodes;
-      });
-    },
-    [availableNodes, availableFlows, formatEdgeID, getOutputType],
-  );
-
-  const getFrontendId = useCallback(
-    (backendId: string, nodes: CustomNode[]) => {
-      const node = nodes.find((node) => node.data.backend_id === backendId);
-      return node?.id;
-    },
-    [],
-  );
-
-  const updateEdgeBeads = useCallback(
-    (executionData: NodeExecutionResult) => {
-      setEdges((edges) => {
-        return edges.map((e) => {
-          const edge = { ...e, data: { ...e.data } } as CustomEdge;
-
-          if (executionData.status === "COMPLETED") {
-            // Produce output beads
-            for (let key in executionData.output_data) {
-              if (
-                edge.source !== getFrontendId(executionData.node_id, nodes) ||
-                edge.sourceHandle !== key
-              ) {
-                continue;
-              }
-              edge.data!.beadUp = (edge.data!.beadUp ?? 0) + 1;
-              // For static edges beadDown is always one less than beadUp
-              // Because there's no queueing and one bead is always at the connection point
-              if (edge.data?.isStatic) {
-                edge.data!.beadDown = (edge.data!.beadUp ?? 0) - 1;
-                edge.data!.beadData = edge.data!.beadData!.slice(0, -1);
-                continue;
-              }
-              //todo kcze this assumes output at key is always array with one element
-              edge.data!.beadData = [
-                executionData.output_data[key][0],
-                ...edge.data!.beadData!,
-              ];
-            }
-          } else if (executionData.status === "RUNNING") {
-            // Consume input beads
-            for (let key in executionData.input_data) {
-              if (
-                edge.target !== getFrontendId(executionData.node_id, nodes) ||
-                edge.targetHandle !== key
-              ) {
-                continue;
-              }
-              // Skip decreasing bead count if edge doesn't match or if it's static
-              if (
-                edge.data!.beadData![edge.data!.beadData!.length - 1] !==
-                  executionData.input_data[key] ||
-                edge.data?.isStatic
-              ) {
-                continue;
-              }
-              edge.data!.beadDown = (edge.data!.beadDown ?? 0) + 1;
-              edge.data!.beadData = edge.data!.beadData!.slice(0, -1);
-            }
-          }
-          return edge;
-        });
-      });
-    },
-    [getFrontendId, nodes],
-  );
-
-  const updateNodesWithExecutionData = useCallback(
-    (executionData: NodeExecutionResult) => {
-      if (!executionData.node_id) return;
-      if (passDataToBeads) {
-        updateEdgeBeads(executionData);
-      }
-      setNodes((nodes) => {
-        const nodeId = nodes.find(
-          (node) => node.data.backend_id === executionData.node_id,
-        )?.id;
-        if (!nodeId) {
-          console.error(
-            "Node not found for execution data:",
-            executionData,
-            "This shouldn't happen and means that the frontend and backend are out of sync.",
-          );
-          return nodes;
-        }
-        return nodes.map((node) =>
-          node.id === nodeId
-            ? {
-                ...node,
-                data: {
-                  ...node.data,
-                  status: executionData.status,
-                  executionResults:
-                    Object.keys(executionData.output_data).length > 0
-                      ? [
-                          ...(node.data.executionResults || []),
-                          {
-                            execId: executionData.node_exec_id,
-                            data: executionData.output_data,
-                          },
-                        ]
-                      : node.data.executionResults,
-                  isOutputOpen: true,
-                },
-              }
-            : node,
-        );
-      });
-    },
-    [passDataToBeads, updateEdgeBeads],
-  );
-
-  useEffect(() => {
-    if (!flowID || availableNodes.length == 0) return;
-
-    api.getGraph(flowID).then((graph) => {
-      console.debug("Loading graph");
-      loadGraph(graph);
-    });
-  }, [flowID, availableNodes, api, loadGraph]);
-
-  // Update nodes with execution data
-  useEffect(() => {
-    if (updateQueue.length === 0 || !nodesSyncedWithSavedAgent) {
-      return;
-    }
-    setUpdateQueue((prev) => {
-      prev.forEach((data) => {
-        // Skip already processed updates by checking
-        // if the data is in the processedUpdates array by reference
-        // This is not to process twice in react dev mode
-        // because it'll add double the beads
-        if (processedUpdates.current.includes(data)) {
-          return;
-        }
-        updateNodesWithExecutionData(data);
-        processedUpdates.current.push(data);
-      });
-      return [];
-    });
-  }, [updateQueue, nodesSyncedWithSavedAgent, updateNodesWithExecutionData]);
-
-  const validateNodes = useCallback((): string | null => {
-    let errorMessage = null;
-
-    nodes.forEach((node) => {
-      const validate = ajv.compile(node.data.inputSchema);
-      const errors = {} as { [key: string]: string };
-
-      // Validate values against schema using AJV
-      const inputData =
-        node.data.uiType === BlockUIType.AGENT
-          ? node.data.hardcodedValues?.data || {}
-          : node.data.hardcodedValues || {};
-      const valid = validate(inputData);
-      if (!valid) {
-        // Populate errors if validation fails
-        validate.errors?.forEach((error) => {
-          // Skip error if there's an edge connected
-          const path =
-            "dataPath" in error
-              ? (error.dataPath as string)
-              : error.instancePath;
-          const handle = path.split(/[\/.]/)[0];
-          if (
-            node.data.connections.some(
-              (conn) => conn.target === node.id || conn.targetHandle === handle,
-            )
-          ) {
-            return;
-          }
-          console.warn("Error", error);
-          errorMessage = error.message || "Invalid input";
-          if (path && error.message) {
-            const key = path.slice(1);
-            console.log("Error", key, error.message);
-            setNestedProperty(
-              errors,
-              key,
-              error.message[0].toUpperCase() + error.message.slice(1),
-            );
-          } else if (error.keyword === "required") {
-            const key = error.params.missingProperty;
-            setNestedProperty(errors, key, "This field is required");
-          }
-        });
-      }
-
-      Object.entries(node.data.inputSchema.properties || {}).forEach(
-        ([key, schema]) => {
-          if (schema.depends_on) {
-            const dependencies = schema.depends_on;
-
-            // Check if dependent field has value
-            const hasValue =
-              inputData[key] != null ||
-              ("default" in schema && schema.default != null);
-
-            const mustHaveValue = node.data.inputSchema.required?.includes(key);
-
-            // Check for missing dependencies when dependent field is present
-            const missingDependencies = dependencies.filter(
-              (dep) =>
-                !inputData[dep as keyof typeof inputData] ||
-                String(inputData[dep as keyof typeof inputData]).trim() === "",
-            );
-
-            if ((hasValue || mustHaveValue) && missingDependencies.length > 0) {
-              setNestedProperty(
-                errors,
-                key,
-                `Requires ${missingDependencies.join(", ")} to be set`,
-              );
-              errorMessage = `Field ${key} requires ${missingDependencies.join(", ")} to be set`;
-            }
-
-            // Check if field is required when dependencies are present
-            const hasAllDependencies = dependencies.every(
-              (dep) =>
-                inputData[dep as keyof typeof inputData] &&
-                String(inputData[dep as keyof typeof inputData]).trim() !== "",
-            );
-
-            if (hasAllDependencies && !hasValue) {
-              setNestedProperty(
-                errors,
-                key,
-                `${key} is required when ${dependencies.join(", ")} are set`,
-              );
-              errorMessage = `${key} is required when ${dependencies.join(", ")} are set`;
-            }
-          }
-        },
-      );
-
-      // Set errors
-      setNodes((nodes) => {
-        return nodes.map((n) => {
-          if (n.id === node.id) {
-            return {
-              ...n,
-              data: {
-                ...n.data,
-                errors,
-              },
-            };
-          }
-          return n;
-        });
-      });
-    });
-
-    return errorMessage;
-  }, [nodes]);
-
-  // Handle user requests
-  useEffect(() => {
-    // Ignore none request
-    if (saveRunRequest.request === "none") {
-      return;
-    }
-    // Display error message
-    if (saveRunRequest.state === "error") {
-      if (saveRunRequest.request === "save") {
-        console.error("Error saving agent");
-        toast({
-          variant: "destructive",
-          title: `Error saving agent`,
-          duration: 2000,
-        });
-      } else if (saveRunRequest.request === "run") {
-        toast({
-          variant: "destructive",
-          title: `Error saving&running agent`,
-          duration: 2000,
-        });
-        console.error(`Error saving&running agent`);
-      } else if (saveRunRequest.request === "stop") {
-        console.error(`Error stopping agent`);
-        toast({
-          variant: "destructive",
-          title: `Error stopping agent`,
-          duration: 2000,
-        });
-      }
-      // Reset request
-      setSaveRunRequest({
-        request: "none",
-        state: "none",
-      });
-      return;
-    }
-    // When saving request is done
-    if (
-      saveRunRequest.state === "saving" &&
-      savedAgent &&
-      nodesSyncedWithSavedAgent
-    ) {
-      // Reset request if only save was requested
-      if (saveRunRequest.request === "save") {
-        setSaveRunRequest({
-          request: "none",
-          state: "none",
-        });
-        // If run was requested, run the agent
-      } else if (saveRunRequest.request === "run") {
-        const validationError = validateNodes();
-        if (validationError) {
-          console.error("Validation failed; aborting run");
-          toast({
-            title: `Validation failed: ${validationError}`,
-            variant: "destructive",
-            duration: 2000,
-          });
-          setSaveRunRequest({
-            request: "none",
-            state: "none",
-          });
-          return;
-        }
-        api.subscribeToExecution(savedAgent.id);
-        setSaveRunRequest({ request: "run", state: "running" });
-        api
-          .executeGraph(savedAgent.id)
-          .then((graphExecution) => {
-            setSaveRunRequest({
-              request: "run",
-              state: "running",
-              activeExecutionID: graphExecution.id,
-            });
-
-            // Track execution until completed
-            const pendingNodeExecutions: Set<string> = new Set();
-            const cancelExecListener = api.onWebSocketMessage(
-              "execution_event",
-              (nodeResult) => {
-                // We are racing the server here, since we need the ID to filter events
-                if (nodeResult.graph_exec_id != graphExecution.id) {
-                  return;
-                }
-                if (
-                  nodeResult.status != "COMPLETED" &&
-                  nodeResult.status != "FAILED"
-                ) {
-                  pendingNodeExecutions.add(nodeResult.node_exec_id);
-                } else {
-                  pendingNodeExecutions.delete(nodeResult.node_exec_id);
-                }
-                if (pendingNodeExecutions.size == 0) {
-                  // Assuming the first event is always a QUEUED node, and
-                  // following nodes are QUEUED before all preceding nodes are COMPLETED,
-                  // an empty set means the graph has finished running.
-                  cancelExecListener();
-                  setSaveRunRequest({ request: "none", state: "none" });
-                }
-              },
-            );
-          })
-          .catch((error) => {
-            const errorMessage =
-              error instanceof Error ? error.message : String(error);
-            toast({
-              variant: "destructive",
-              title: "Error saving agent",
-              description: errorMessage,
-            });
-            setSaveRunRequest({ request: "run", state: "error" });
-          });
-
-        processedUpdates.current = processedUpdates.current = [];
-      }
-    }
-    // Handle stop request
-    if (
-      saveRunRequest.request === "stop" &&
-      saveRunRequest.state != "stopping" &&
-      savedAgent &&
-      saveRunRequest.activeExecutionID
-    ) {
-      setSaveRunRequest({
-        request: "stop",
-        state: "stopping",
-        activeExecutionID: saveRunRequest.activeExecutionID,
-      });
-      api
-        .stopGraphExecution(savedAgent.id, saveRunRequest.activeExecutionID)
-        .then(() => setSaveRunRequest({ request: "none", state: "none" }));
-    }
-  }, [
-    api,
-    toast,
-    saveRunRequest,
-    savedAgent,
-    nodesSyncedWithSavedAgent,
-    validateNodes,
-  ]);
-
-  // Check if node ids are synced with saved agent
-  useEffect(() => {
-    // Check if all node ids are synced with saved agent (frontend and backend)
-    if (!savedAgent || nodes?.length === 0) {
-      setNodesSyncedWithSavedAgent(false);
-      return;
-    }
-    // Find at least one node that has backend id existing on any saved agent node
-    // This will works as long as ALL ids are replaced each time the graph is run
-    const oneNodeSynced = savedAgent.nodes.some(
-      (backendNode) => backendNode.id === nodes[0].data.backend_id,
-    );
-    setNodesSyncedWithSavedAgent(oneNodeSynced);
-  }, [savedAgent, nodes]);
-
-  const prepareNodeInputData = useCallback(
-    (node: CustomNode) => {
-      console.debug(
-        "Preparing input data for node:",
-        node.id,
-        node.data.blockType,
-      );
-
-      const blockSchema = availableNodes.find(
-        (n) => n.id === node.data.block_id,
-      )?.inputSchema;
-
-      if (!blockSchema) {
-        console.error(`Schema not found for block ID: ${node.data.block_id}`);
-        return {};
-      }
-
-      const getNestedData = (
-        schema: BlockIOSubSchema,
-        values: { [key: string]: any },
-      ): { [key: string]: any } => {
-        let inputData: { [key: string]: any } = {};
-
-        if ("properties" in schema) {
-          Object.keys(schema.properties).forEach((key) => {
-            if (values[key] !== undefined) {
-              if (
-                "properties" in schema.properties[key] ||
-                "additionalProperties" in schema.properties[key]
-              ) {
-                inputData[key] = getNestedData(
-                  schema.properties[key],
-                  values[key],
-                );
-              } else {
-                inputData[key] = values[key];
-              }
-            }
-          });
-        }
-
-        if ("additionalProperties" in schema) {
-          inputData = { ...inputData, ...values };
-        }
-
-        return inputData;
-      };
-
-      let inputData = getNestedData(blockSchema, node.data.hardcodedValues);
-
-      console.debug(
-        `Final prepared input for ${node.data.blockType} (${node.id}):`,
-        inputData,
-      );
-      return inputData;
-    },
-    [availableNodes],
-  );
-
-  const _saveAgent = useCallback(async () => {
-    //FIXME frontend ids should be resolved better (e.g. returned from the server)
-    // currently this relays on block_id and position
-    const blockIdToNodeIdMap: Record<string, string> = {};
-
-    nodes.forEach((node) => {
-      const key = `${node.data.block_id}_${node.position.x}_${node.position.y}`;
-      blockIdToNodeIdMap[key] = node.id;
-    });
-
-    const formattedNodes = nodes.map((node) => {
-      const inputDefault = prepareNodeInputData(node);
-      const inputNodes = edges
-        .filter((edge) => edge.target === node.id)
-        .map((edge) => ({
-          name: edge.targetHandle || "",
-          node_id: edge.source,
-        }));
-
-      const outputNodes = edges
-        .filter((edge) => edge.source === node.id)
-        .map((edge) => ({
-          name: edge.sourceHandle || "",
-          node_id: edge.target,
-        }));
-
-      return {
-        id: node.id,
-        block_id: node.data.block_id,
-        input_default: inputDefault,
-        input_nodes: inputNodes,
-        output_nodes: outputNodes,
-        data: {
-          ...node.data,
-          hardcodedValues: removeEmptyStringsAndNulls(
-            node.data.hardcodedValues,
-          ),
-        },
-        metadata: { position: node.position },
-      };
-    });
-
-    const links = edges.map((edge) => ({
-      source_id: edge.source,
-      sink_id: edge.target,
-      source_name: edge.sourceHandle || "",
-      sink_name: edge.targetHandle || "",
-    }));
-
-    const payload = {
-      id: savedAgent?.id!,
-      name: agentName || `New Agent ${new Date().toISOString()}`,
-      description: agentDescription || "",
-      nodes: formattedNodes,
-      links: links,
-    };
-
-    // To avoid saving the same graph, we compare the payload with the saved agent.
-    // Differences in IDs are ignored.
-    const comparedPayload = {
-      ...(({ id, ...rest }) => rest)(payload),
-      nodes: payload.nodes.map(
-        ({ id, data, input_nodes, output_nodes, ...rest }) => rest,
-      ),
-      links: payload.links.map(({ source_id, sink_id, ...rest }) => rest),
-    };
-    const comparedSavedAgent = {
-      name: savedAgent?.name,
-      description: savedAgent?.description,
-      nodes: savedAgent?.nodes.map((v) => ({
-        block_id: v.block_id,
-        input_default: v.input_default,
-        metadata: v.metadata,
-      })),
-      links: savedAgent?.links.map((v) => ({
-        sink_name: v.sink_name,
-        source_name: v.source_name,
-      })),
-    };
-
-    let newSavedAgent = null;
-    if (savedAgent && deepEquals(comparedPayload, comparedSavedAgent)) {
-      console.warn("No need to save: Graph is the same as version on server");
-      newSavedAgent = savedAgent;
-    } else {
-      console.debug(
-        "Saving new Graph version; old vs new:",
-        comparedPayload,
-        payload,
-      );
-      setNodesSyncedWithSavedAgent(false);
-
-      newSavedAgent = savedAgent
-        ? await api.updateGraph(savedAgent.id, payload)
-        : await api.createGraph(payload);
-
-      console.debug("Response from the API:", newSavedAgent);
-    }
-
-    // Route the URL to the new flow ID if it's a new agent.
-    if (!savedAgent) {
-      const path = new URLSearchParams(searchParams);
-      path.set("flowID", newSavedAgent.id);
-      router.push(`${pathname}?${path.toString()}`);
-      return;
-    }
-
-    // Update the node IDs on the frontend
-    setSavedAgent(newSavedAgent);
-    setNodes((prev) => {
-      return newSavedAgent.nodes
-        .map((backendNode) => {
-          const key = `${backendNode.block_id}_${backendNode.metadata.position.x}_${backendNode.metadata.position.y}`;
-          const frontendNodeId = blockIdToNodeIdMap[key];
-          const frontendNode = prev.find((node) => node.id === frontendNodeId);
-
-          return frontendNode
-            ? {
-                ...frontendNode,
-                position: backendNode.metadata.position,
-                data: {
-                  ...frontendNode.data,
-                  hardcodedValues: removeEmptyStringsAndNulls(
-                    frontendNode.data.hardcodedValues,
-                  ),
-                  status: undefined,
-                  backend_id: backendNode.id,
-                  webhook: backendNode.webhook,
-                  executionResults: [],
-                },
-              }
-            : null;
-        })
-        .filter((node) => node !== null);
-    });
-    // Reset bead count
-    setEdges((edges) => {
-      return edges.map((edge) => ({
-        ...edge,
-        data: {
-          ...edge.data,
-          edgeColor: edge.data?.edgeColor!,
-          beadUp: 0,
-          beadDown: 0,
-          beadData: [],
-        },
-      }));
-    });
-  }, [
-    api,
-    nodes,
-    edges,
-    pathname,
-    router,
-    searchParams,
-    savedAgent,
-    agentName,
-    agentDescription,
-    prepareNodeInputData,
-  ]);
-
-  const saveAgent = useCallback(async () => {
-    try {
-      await _saveAgent();
-    } catch (error) {
-      const errorMessage =
-        error instanceof Error ? error.message : String(error);
-      console.error("Error saving agent", error);
-      toast({
-        variant: "destructive",
-        title: "Error saving agent",
-        description: errorMessage,
-      });
-    }
-  }, [_saveAgent, toast]);
-
-  const requestSave = useCallback(() => {
-    saveAgent();
-    setSaveRunRequest({
-      request: "save",
-      state: "saving",
-    });
-  }, [saveAgent]);
-
-  const requestSaveAndRun = useCallback(() => {
-    saveAgent();
-    setSaveRunRequest({
-      request: "run",
-      state: "saving",
-    });
-  }, [saveAgent]);
-
-  const requestStopRun = useCallback(() => {
-    if (saveRunRequest.state != "running") {
-      return;
-    }
-    if (!saveRunRequest.activeExecutionID) {
-      console.warn(
-        "Stop requested but execution ID is unknown; state:",
-        saveRunRequest,
-      );
-    }
-    setSaveRunRequest((prev) => ({
-      ...prev,
-      request: "stop",
-      state: "running",
-    }));
-  }, [saveRunRequest]);
-
-  // runs after saving cron expression and inputs (if exists)
-  const scheduleRunner = useCallback(
-    async (cronExpression: string, inputs: InputItem[]) => {
-      await saveAgent();
-      try {
-        if (flowID) {
-          await api.createSchedule({
-            graph_id: flowID,
-            cron: cronExpression,
-            input_data: inputs.reduce(
-              (acc, input) => ({
-                ...acc,
-                [input.hardcodedValues.name]: input.hardcodedValues.value,
-              }),
-              {},
-            ),
-          });
-          toast({
-            title: "Agent scheduling successful",
-          });
-
-          // if scheduling is done from the monitor page, then redirect to monitor page after successful scheduling
-          if (searchParams.get("open_scheduling") === "true") {
-            router.push("/");
-          }
-        } else {
-          return;
-        }
-      } catch (error) {
-        console.log(error);
-        toast({
-          variant: "destructive",
-          title: "Error scheduling agent",
-          description: "Please retry",
-        });
-      }
-    },
-    [api, flowID, saveAgent, toast, router, searchParams],
-  );
-
-  return {
-    agentName,
-    setAgentName,
-    agentDescription,
-    setAgentDescription,
-    savedAgent,
-    availableNodes,
-    availableFlows,
-    getOutputType,
-    requestSave,
-    requestSaveAndRun,
-    requestStopRun,
-    scheduleRunner,
-    isSaving: saveRunRequest.state == "saving",
-    isRunning: saveRunRequest.state == "running",
-    isStopping: saveRunRequest.state == "stopping",
-    isScheduling,
-    setIsScheduling,
-    nodes,
-    setNodes,
-    edges,
-    setEdges,
-  };
-}
diff --git a/autogpt_platform/frontend/src/hooks/useAgentGraph.tsx b/autogpt_platform/frontend/src/hooks/useAgentGraph.tsx
new file mode 100644
index 000000000000..0f672339f219
--- /dev/null
+++ b/autogpt_platform/frontend/src/hooks/useAgentGraph.tsx
@@ -0,0 +1,1016 @@
+import { CustomEdge } from "@/components/CustomEdge";
+import { CustomNode } from "@/components/CustomNode";
+import { useOnboarding } from "@/components/onboarding/onboarding-provider";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import {
+  ApiError,
+  Block,
+  BlockIOSubSchema,
+  BlockUIType,
+  CredentialsMetaInput,
+  formatEdgeID,
+  Graph,
+  GraphCreatable,
+  GraphExecutionID,
+  GraphID,
+  GraphMeta,
+  LinkCreatable,
+  NodeCreatable,
+  NodeExecutionResult,
+  SpecialBlockID,
+  Node,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import {
+  deepEquals,
+  getTypeColor,
+  removeEmptyStringsAndNulls,
+} from "@/lib/utils";
+import { MarkerType } from "@xyflow/react";
+import { default as NextLink } from "next/link";
+import { usePathname, useRouter, useSearchParams } from "next/navigation";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
+
+export default function useAgentGraph(
+  flowID?: GraphID,
+  flowVersion?: number,
+  flowExecutionID?: GraphExecutionID,
+  passDataToBeads?: boolean,
+) {
+  const { toast } = useToast();
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+  const api = useBackendAPI();
+
+  const [isScheduling, setIsScheduling] = useState(false);
+  const [savedAgent, setSavedAgent] = useState<Graph | null>(null);
+  const [agentDescription, setAgentDescription] = useState<string>("");
+  const [agentName, setAgentName] = useState<string>("");
+  const [allBlocks, setAllBlocks] = useState<Block[]>([]);
+  const [availableFlows, setAvailableFlows] = useState<GraphMeta[]>([]);
+  const [updateQueue, setUpdateQueue] = useState<NodeExecutionResult[]>([]);
+  const processedUpdates = useRef<NodeExecutionResult[]>([]);
+  const [isSaving, setIsSaving] = useState(false);
+  const [isRunning, setIsRunning] = useState(false);
+  const [isStopping, setIsStopping] = useState(false);
+  const [activeExecutionID, setActiveExecutionID] =
+    useState<GraphExecutionID | null>(null);
+  const [graphExecutionError, setGraphExecutionError] = useState<string | null>(
+    null,
+  );
+  const [xyNodes, setXYNodes] = useState<CustomNode[]>([]);
+  const [xyEdges, setXYEdges] = useState<CustomEdge[]>([]);
+  const { state, completeStep, incrementRuns } = useOnboarding();
+  const betaBlocks = useGetFlag(Flag.BETA_BLOCKS);
+
+  // Filter blocks based on beta flags
+  const availableBlocks = useMemo(() => {
+    return allBlocks.filter(
+      (block) => !betaBlocks || !betaBlocks.includes(block.id),
+    );
+  }, [allBlocks, betaBlocks]);
+
+  // Load available blocks & flows (stable - only loads once)
+  useEffect(() => {
+    api
+      .getBlocks()
+      .then((blocks) => {
+        setAllBlocks(blocks);
+      })
+      .catch();
+
+    api
+      .listGraphs()
+      .then((flows) => setAvailableFlows(flows))
+      .catch();
+  }, [api]);
+
+  // Subscribe to execution events
+  useEffect(() => {
+    const deregisterMessageHandler = api.onWebSocketMessage(
+      "node_execution_event",
+      (data) => {
+        if (data.graph_exec_id != flowExecutionID) {
+          return;
+        }
+        setUpdateQueue((prev) => [...prev, data]);
+      },
+    );
+
+    const deregisterConnectHandler =
+      flowID && flowExecutionID
+        ? api.onWebSocketConnect(() => {
+            // Subscribe to execution updates
+            api
+              .subscribeToGraphExecution(flowExecutionID)
+              .then(() =>
+                console.debug(
+                  `Subscribed to updates for execution #${flowExecutionID}`,
+                ),
+              )
+              .catch((error) =>
+                console.error(
+                  `Failed to subscribe to updates for execution #${flowExecutionID}:`,
+                  error,
+                ),
+              );
+
+            // Sync execution info to ensure it's up-to-date after (re)connect
+            api
+              .getGraphExecutionInfo(flowID, flowExecutionID)
+              .then((execution) =>
+                setUpdateQueue((prev) => {
+                  if (!execution.node_executions) return prev;
+                  return [...prev, ...execution.node_executions];
+                }),
+              );
+          })
+        : () => {};
+
+    return () => {
+      deregisterMessageHandler();
+      deregisterConnectHandler();
+    };
+  }, [api, flowID, flowExecutionID]);
+
+  const getOutputType = useCallback(
+    (nodes: CustomNode[], nodeId: string, handleId: string) => {
+      const node = nodes.find((n) => n.id === nodeId);
+      if (!node) return "unknown";
+
+      const outputSchema = node.data.outputSchema;
+      if (!outputSchema) return "unknown";
+
+      const outputHandle = outputSchema.properties[handleId] || {};
+      if (!("type" in outputHandle)) return "unknown";
+      return outputHandle.type;
+    },
+    [],
+  );
+
+  // Load existing graph
+  function _loadGraph(graph: Graph) {
+    setSavedAgent(graph);
+    setAgentName(graph.name);
+    setAgentDescription(graph.description);
+
+    const getGraphName = (node: Node) => {
+      if (node.input_default.agent_name) {
+        return node.input_default.agent_name;
+      }
+      return (
+        availableFlows.find((flow) => flow.id === node.input_default.graph_id)
+          ?.name || null
+      );
+    };
+
+    setXYNodes((prevNodes) => {
+      const _newNodes = graph.nodes.map((node) => {
+        const block = availableBlocks.find(
+          (block) => block.id === node.block_id,
+        )!;
+        if (!block) return null;
+        const prevNode = prevNodes.find((n) => n.id === node.id);
+        const graphName =
+          (block.uiType == BlockUIType.AGENT && getGraphName(node)) || null;
+        const newNode: CustomNode = {
+          id: node.id,
+          type: "custom",
+          position: {
+            x: node?.metadata?.position?.x || 0,
+            y: node?.metadata?.position?.y || 0,
+          },
+          data: {
+            isOutputOpen: false,
+            ...prevNode?.data,
+            block_id: block.id,
+            blockType: graphName || block.name,
+            blockCosts: block.costs,
+            categories: block.categories,
+            description: block.description,
+            title: `${block.name} ${node.id}`,
+            inputSchema: block.inputSchema,
+            outputSchema: block.outputSchema,
+            hardcodedValues: node.input_default,
+            webhook: node.webhook,
+            uiType: block.uiType,
+            connections: graph.links
+              .filter((l) => [l.source_id, l.sink_id].includes(node.id))
+              .map((link) => ({
+                edge_id: formatEdgeID(link),
+                source: link.source_id,
+                sourceHandle: link.source_name,
+                target: link.sink_id,
+                targetHandle: link.sink_name,
+              })),
+            backend_id: node.id,
+          },
+        };
+        return newNode;
+      });
+      const newNodes = _newNodes.filter((n) => n !== null);
+      setXYEdges(() =>
+        graph.links.map((link) => {
+          const adjustedSourceName = cleanupSourceName(link.source_name);
+          return {
+            id: formatEdgeID(link),
+            type: "custom",
+            data: {
+              edgeColor: getTypeColor(
+                getOutputType(newNodes, link.source_id, adjustedSourceName!),
+              ),
+              sourcePos: newNodes.find((node) => node.id === link.source_id)
+                ?.position,
+              isStatic: link.is_static,
+              beadUp: 0,
+              beadDown: 0,
+            },
+            markerEnd: {
+              type: MarkerType.ArrowClosed,
+              strokeWidth: 2,
+              color: getTypeColor(
+                getOutputType(newNodes, link.source_id, adjustedSourceName!),
+              ),
+            },
+            source: link.source_id,
+            target: link.sink_id,
+            sourceHandle: adjustedSourceName || undefined,
+            targetHandle: link.sink_name || undefined,
+          };
+        }),
+      );
+      return newNodes;
+    });
+  }
+
+  const getFrontendId = useCallback(
+    (backendId: string, nodes: CustomNode[]) => {
+      const node = nodes.find((node) => node.data.backend_id === backendId);
+      return node?.id;
+    },
+    [],
+  );
+
+  /** --- Smart Decision Maker Block helper functions --- */
+
+  const isToolSourceName = (sourceName: string) =>
+    sourceName.startsWith("tools_^_");
+
+  const cleanupSourceName = (sourceName: string) =>
+    isToolSourceName(sourceName) ? "tools" : sourceName;
+
+  const getToolFuncName = useCallback(
+    (nodeID: string) => {
+      const sinkNode = xyNodes.find((node) => node.id === nodeID);
+      if (!sinkNode) return "";
+
+      const sinkNodeName =
+        sinkNode.data.block_id === SpecialBlockID.AGENT
+          ? sinkNode.data.hardcodedValues?.agent_name ||
+            availableFlows.find(
+              (flow) => flow.id === sinkNode.data.hardcodedValues.graph_id,
+            )?.name ||
+            "agentexecutorblock"
+          : sinkNode.data.title.split(" ")[0];
+
+      return sinkNodeName;
+    },
+    [xyNodes, availableFlows],
+  );
+
+  const normalizeToolName = (str: string) =>
+    str.replace(/[^a-zA-Z0-9_-]/g, "_").toLowerCase(); // This normalization rule has to match with the one on smart_decision_maker.py
+
+  /** ------------------------------ */
+
+  const updateEdgeBeads = useCallback(
+    (nodeExecUpdate: NodeExecutionResult) => {
+      setXYEdges((edges) =>
+        edges.map((edge): CustomEdge => {
+          if (edge.target !== getFrontendId(nodeExecUpdate.node_id, xyNodes)) {
+            // If the edge does not match the target node, skip it
+            return edge;
+          }
+
+          const execStatuses =
+            edge.data!.beadData ??
+            new Map<string, NodeExecutionResult["status"]>();
+
+          if (edge.targetHandle! in nodeExecUpdate.input_data) {
+            // If the execution event has an input from this edge, store its status
+            execStatuses.set(
+              nodeExecUpdate.node_exec_id,
+              nodeExecUpdate.status,
+            );
+          }
+
+          // Calculate bead counts based on execution status
+          // eslint-disable-next-line prefer-const
+          let [beadUp, beadDown] = execStatuses.values().reduce(
+            ([beadUp, beadDown], status) => [
+              beadUp + 1,
+              // Count any non-incomplete execution as consumed
+              status !== "INCOMPLETE" ? beadDown + 1 : beadDown,
+            ],
+            [0, 0],
+          );
+
+          // For static edges, ensure beadUp is always beadDown + 1
+          // This is because static edges represent reusable inputs that are never fully consumed
+          // The +1 represents the input that's still available for reuse
+          if (edge.data?.isStatic && beadUp > 0) {
+            beadUp = beadDown + 1;
+          }
+
+          // Update edge data
+          return {
+            ...edge,
+            data: {
+              ...edge.data!,
+              beadUp,
+              beadDown,
+              beadData: new Map(execStatuses.entries()),
+            },
+          };
+        }),
+      );
+    },
+    [getFrontendId, xyNodes],
+  );
+
+  const addExecutionDataToNode = useCallback(
+    (node: CustomNode, executionData: NodeExecutionResult) => {
+      if (!executionData.output_data) {
+        console.warn(
+          `Execution data for node ${executionData.node_id} is empty, skipping update`,
+        );
+        return node;
+      }
+
+      const executionResults = [
+        // Execution updates are not cumulative, so we need to filter out the old ones.
+        ...(node.data.executionResults?.filter(
+          (result) => result.execId !== executionData.node_exec_id,
+        ) || []),
+        {
+          execId: executionData.node_exec_id,
+          data: {
+            "[Input]": [executionData.input_data],
+            ...executionData.output_data,
+          },
+          status: executionData.status,
+        },
+      ];
+
+      const statusRank = {
+        RUNNING: 0,
+        QUEUED: 1,
+        INCOMPLETE: 2,
+        TERMINATED: 3,
+        COMPLETED: 4,
+        FAILED: 5,
+      };
+      const status = executionResults
+        .map((v) => v.status)
+        .reduce((a, b) => (statusRank[a] < statusRank[b] ? a : b));
+
+      return {
+        ...node,
+        data: {
+          ...node.data,
+          status,
+          executionResults,
+          isOutputOpen: true,
+        },
+      };
+    },
+    [],
+  );
+
+  const updateNodesWithExecutionData = useCallback(
+    (executionData: NodeExecutionResult) => {
+      if (!executionData.node_id) return;
+      if (passDataToBeads) {
+        updateEdgeBeads(executionData);
+      }
+      setXYNodes((nodes) => {
+        const nodeId = nodes.find(
+          (node) => node.data.backend_id === executionData.node_id,
+        )?.id;
+        if (!nodeId) {
+          console.error(
+            "Node not found for execution data:",
+            executionData,
+            "This shouldn't happen and means that the frontend and backend are out of sync.",
+          );
+          return nodes;
+        }
+        return nodes.map((node) =>
+          node.id === nodeId
+            ? addExecutionDataToNode(node, executionData)
+            : node,
+        );
+      });
+    },
+    [passDataToBeads, updateEdgeBeads],
+  );
+
+  // Load graph
+  useEffect(() => {
+    if (!flowID || availableBlocks.length == 0) return;
+    if (savedAgent?.id === flowID && savedAgent.version === flowVersion) return;
+
+    api.getGraph(flowID, flowVersion).then((graph) => {
+      console.debug("Fetching graph", flowID, "version", flowVersion);
+      if (graph.version === savedAgent?.version) return; // in case flowVersion is not set
+
+      console.debug("Loading graph", graph.id, "version", graph.version);
+      _loadGraph(graph);
+    });
+  }, [flowID, flowVersion, availableBlocks, api]);
+
+  // Check if local graph state is in sync with backend
+  const nodesSyncedWithSavedAgent = useMemo(() => {
+    if (!savedAgent || xyNodes.length === 0) return false;
+
+    // Check that all nodes of the saved agent are included in the current state
+    return savedAgent.nodes.every((savedNode) =>
+      xyNodes.find((node) => node.data.backend_id === savedNode.id),
+    );
+  }, [savedAgent, xyNodes]);
+
+  // Update nodes with execution data
+  useEffect(() => {
+    if (updateQueue.length === 0 || !nodesSyncedWithSavedAgent) {
+      return;
+    }
+    setUpdateQueue((prev) => {
+      prev.forEach((data) => {
+        updateNodesWithExecutionData(data);
+        // Execution updates are not cumulative, so we need to filter out the old ones.
+        processedUpdates.current = processedUpdates.current.filter(
+          (update) => update.node_exec_id !== data.node_exec_id,
+        );
+        processedUpdates.current.push(data);
+      });
+      return [];
+    });
+  }, [updateQueue, nodesSyncedWithSavedAgent, updateNodesWithExecutionData]);
+
+  useEffect(() => {
+    if (!flowID || !flowExecutionID) {
+      return;
+    }
+
+    const fetchExecutions = async () => {
+      const execution = await api.getGraphExecutionInfo(
+        flowID,
+        flowExecutionID,
+      );
+
+      // Set graph execution error from the initial fetch
+      if (execution.status === "FAILED") {
+        setGraphExecutionError(
+          execution.stats?.error ||
+            "The execution failed due to an internal error. You can re-run the agent to retry.",
+        );
+      }
+
+      if (
+        (execution.status === "QUEUED" || execution.status === "RUNNING") &&
+        !isRunning
+      ) {
+        setIsRunning(true);
+        setActiveExecutionID(flowExecutionID);
+      }
+      setUpdateQueue((prev) => {
+        if (!execution.node_executions) return prev;
+        return [...prev, ...execution.node_executions];
+      });
+
+      const cancelGraphExecListener = api.onWebSocketMessage(
+        "graph_execution_event",
+        (graphExec) => {
+          if (graphExec.id != flowExecutionID) {
+            return;
+          }
+
+          // Update graph execution error state and show toast
+          if (graphExec.status === "FAILED") {
+            const errorMessage =
+              graphExec.stats?.error ||
+              "The execution failed due to an internal error. You can re-run the agent to retry.";
+            setGraphExecutionError(errorMessage);
+
+            if (
+              graphExec.stats?.error
+                ?.toLowerCase()
+                .includes("insufficient balance")
+            ) {
+              // Show no credits toast if user has low credits
+              toast({
+                variant: "destructive",
+                title: "Credits low",
+                description: (
+                  <div>
+                    Agent execution failed due to insufficient credits.
+                    <br />
+                    Go to the{" "}
+                    <NextLink
+                      className="text-purple-300"
+                      href="/profile/credits"
+                    >
+                      Credits
+                    </NextLink>{" "}
+                    page to top up.
+                  </div>
+                ),
+                duration: 5000,
+              });
+            } else {
+              // Show general graph execution error
+              toast({
+                variant: "destructive",
+                title: "Agent execution failed",
+                description: errorMessage,
+                duration: 8000,
+              });
+            }
+          }
+          if (
+            graphExec.status === "COMPLETED" ||
+            graphExec.status === "TERMINATED" ||
+            graphExec.status === "FAILED"
+          ) {
+            cancelGraphExecListener();
+            setIsRunning(false);
+            setIsStopping(false);
+            setActiveExecutionID(null);
+            incrementRuns();
+          }
+        },
+      );
+    };
+
+    fetchExecutions();
+  }, [flowID, flowExecutionID, incrementRuns]);
+
+  const prepareNodeInputData = useCallback(
+    (node: CustomNode) => {
+      const blockSchema = availableBlocks.find(
+        (n) => n.id === node.data.block_id,
+      )?.inputSchema;
+
+      if (!blockSchema) {
+        console.error(`Schema not found for block ID: ${node.data.block_id}`);
+        return {};
+      }
+
+      return rebuildObjectUsingSchema(blockSchema, node.data.hardcodedValues);
+    },
+    [availableBlocks],
+  );
+
+  const prepareSaveableGraph = useCallback((): GraphCreatable => {
+    const links = xyEdges.map((edge): LinkCreatable => {
+      let sourceName = edge.sourceHandle || "";
+      const sourceNode = xyNodes.find((node) => node.id === edge.source);
+
+      // Special case for SmartDecisionMakerBlock
+      if (
+        sourceNode?.data.block_id === SpecialBlockID.SMART_DECISION &&
+        sourceName.toLowerCase() === "tools"
+      ) {
+        sourceName = `tools_^_${normalizeToolName(getToolFuncName(edge.target))}_~_${normalizeToolName(edge.targetHandle || "")}`;
+      }
+      return {
+        source_id: edge.source,
+        sink_id: edge.target,
+        source_name: sourceName,
+        sink_name: edge.targetHandle || "",
+      };
+    });
+
+    return {
+      name: agentName || `New Agent ${new Date().toISOString()}`,
+      description: agentDescription || "",
+      nodes: xyNodes.map(
+        (node): NodeCreatable => ({
+          id: node.id,
+          block_id: node.data.block_id,
+          input_default: prepareNodeInputData(node),
+          metadata: { position: node.position },
+        }),
+      ),
+      links: links,
+    };
+  }, [
+    xyNodes,
+    xyEdges,
+    agentName,
+    agentDescription,
+    prepareNodeInputData,
+    getToolFuncName,
+  ]);
+
+  const _saveAgent = useCallback(async () => {
+    // FIXME: frontend IDs should be resolved better (e.g. returned from the server)
+    // currently this relays on block_id and position
+    const blockIDToNodeIDMap = Object.fromEntries(
+      xyNodes.map((node) => [
+        `${node.data.block_id}_${node.position.x}_${node.position.y}`,
+        node.id,
+      ]),
+    );
+
+    const payload = prepareSaveableGraph();
+
+    // To avoid saving the same graph, we compare the payload with the saved agent.
+    // Differences in IDs are ignored.
+    let newSavedAgent: Graph;
+    if (savedAgent && graphsEquivalent(savedAgent, payload)) {
+      console.warn("No need to save: Graph is the same as version on server");
+      newSavedAgent = savedAgent;
+    } else {
+      console.debug(
+        "Saving new Graph version; old vs new:",
+        savedAgent,
+        payload,
+      );
+
+      newSavedAgent = savedAgent
+        ? await api.updateGraph(savedAgent.id, {
+            ...payload,
+            id: savedAgent.id,
+          })
+        : await api.createGraph(payload);
+
+      console.debug("Response from the API:", newSavedAgent);
+    }
+
+    // Update the URL
+    if (newSavedAgent.version !== savedAgent?.version) {
+      const path = new URLSearchParams(searchParams);
+      path.set("flowID", newSavedAgent.id);
+      path.set("flowVersion", newSavedAgent.version.toString());
+      router.push(`${pathname}?${path.toString()}`);
+    }
+
+    // Update the node IDs on the frontend
+    setSavedAgent(newSavedAgent);
+    setXYNodes((prev) => {
+      return newSavedAgent.nodes
+        .map((backendNode) => {
+          const key = `${backendNode.block_id}_${backendNode.metadata.position.x}_${backendNode.metadata.position.y}`;
+          const frontendNodeID = blockIDToNodeIDMap[key];
+          const frontendNode = prev.find((node) => node.id === frontendNodeID);
+
+          return frontendNode
+            ? {
+                ...frontendNode,
+                position: backendNode.metadata.position,
+                data: {
+                  ...frontendNode.data,
+                  hardcodedValues: removeEmptyStringsAndNulls(
+                    frontendNode.data.hardcodedValues,
+                  ),
+                  status: undefined,
+                  backend_id: backendNode.id,
+                  webhook: backendNode.webhook,
+                  executionResults: [],
+                },
+              }
+            : null;
+        })
+        .filter((node) => node !== null);
+    });
+    // Reset bead count
+    setXYEdges((edges) => {
+      return edges.map(
+        (edge): CustomEdge => ({
+          ...edge,
+          data: {
+            ...edge.data,
+            edgeColor: edge.data?.edgeColor ?? "grey",
+            beadUp: 0,
+            beadDown: 0,
+            beadData: new Map(),
+          },
+        }),
+      );
+    });
+    return newSavedAgent;
+  }, [
+    api,
+    xyNodes,
+    agentName,
+    agentDescription,
+    prepareNodeInputData,
+    prepareSaveableGraph,
+    savedAgent,
+    pathname,
+    router,
+    searchParams,
+  ]);
+
+  const saveAgent = useCallback(async () => {
+    setIsSaving(true);
+    try {
+      await _saveAgent();
+      completeStep("BUILDER_SAVE_AGENT");
+    } catch (error) {
+      const errorMessage =
+        error instanceof Error ? error.message : String(error);
+      console.error("Error saving agent", error);
+      toast({
+        variant: "destructive",
+        title: "Error saving agent",
+        description: errorMessage,
+      });
+    } finally {
+      setIsSaving(false);
+    }
+  }, [_saveAgent, toast, completeStep]);
+
+  const saveAndRun = useCallback(
+    async (
+      inputs: Record<string, any>,
+      credentialsInputs: Record<string, CredentialsMetaInput>,
+    ) => {
+      if (isSaving || isRunning) {
+        return;
+      }
+
+      setIsSaving(true);
+      let savedAgent: Graph;
+      try {
+        savedAgent = await _saveAgent();
+        completeStep("BUILDER_SAVE_AGENT");
+      } catch (error) {
+        const errorMessage =
+          error instanceof Error ? error.message : String(error);
+        toast({
+          variant: "destructive",
+          title: "Error saving agent",
+          description: errorMessage,
+        });
+        return;
+      } finally {
+        setIsSaving(false);
+      }
+
+      // NOTE: Client-side validation is skipped here because the backend now provides
+      // comprehensive validation that includes credentialsInputs, which the frontend
+      // validation cannot access. The backend will return structured validation errors
+      // if there are any issues.
+
+      setIsRunning(true);
+      processedUpdates.current = [];
+
+      try {
+        const graphExecution = await api.executeGraph(
+          savedAgent.id,
+          savedAgent.version,
+          inputs,
+          credentialsInputs,
+        );
+
+        setActiveExecutionID(graphExecution.graph_exec_id);
+
+        // Update URL params
+        const path = new URLSearchParams(searchParams);
+        path.set("flowID", savedAgent.id);
+        path.set("flowVersion", savedAgent.version.toString());
+        path.set("flowExecutionID", graphExecution.graph_exec_id);
+        router.push(`${pathname}?${path.toString()}`);
+
+        if (state?.completedSteps.includes("BUILDER_SAVE_AGENT")) {
+          completeStep("BUILDER_RUN_AGENT");
+        }
+      } catch (error) {
+        // Check if this is a structured validation error from the backend
+        if (error instanceof ApiError && error.isGraphValidationError()) {
+          const errorData = error.response.detail;
+
+          // 1. Apply validation errors to the corresponding nodes.
+          // 2. Clear existing errors for nodes that don't have validation issues.
+          setXYNodes((nodes) => {
+            return nodes.map((node) => {
+              const nodeErrors = node.data.backend_id
+                ? (errorData.node_errors[node.data.backend_id] ?? {})
+                : {};
+              return {
+                ...node,
+                data: {
+                  ...node.data,
+                  errors: nodeErrors,
+                },
+              };
+            });
+          });
+
+          // Show a general toast about validation errors
+          toast({
+            variant: "destructive",
+            title: errorData.message || "Graph validation failed",
+            description:
+              "Please fix the validation errors on the highlighted nodes and try again.",
+          });
+          setIsRunning(false);
+          setActiveExecutionID(null);
+          return;
+        }
+
+        // Generic error handling for non-validation errors
+        const errorMessage =
+          error instanceof Error ? error.message : String(error);
+        toast({
+          variant: "destructive",
+          title: "Error running agent",
+          description: errorMessage,
+        });
+        setIsRunning(false);
+        setActiveExecutionID(null);
+      }
+    },
+    [
+      _saveAgent,
+      toast,
+      completeStep,
+      api,
+      searchParams,
+      pathname,
+      router,
+      state,
+      isSaving,
+      isRunning,
+      processedUpdates,
+    ],
+  );
+
+  const stopRun = useCallback(async () => {
+    if (!isRunning || !activeExecutionID || isStopping || !savedAgent) {
+      return;
+    }
+
+    setIsStopping(true);
+    await api
+      .stopGraphExecution(savedAgent.id, activeExecutionID)
+      .catch((error) => {
+        const errorMessage =
+          error instanceof Error ? error.message : String(error);
+        toast({
+          variant: "destructive",
+          title: "Error stopping agent",
+          description: errorMessage,
+        });
+      });
+    setIsStopping(false);
+  }, [api, savedAgent, activeExecutionID, isRunning, isStopping, toast]);
+
+  // runs after saving cron expression and inputs (if exists)
+  const createRunSchedule = useCallback(
+    async (
+      cronExpression: string,
+      scheduleName: string,
+      inputs: Record<string, any>,
+      credentialsInputs: Record<string, CredentialsMetaInput>,
+    ) => {
+      if (!savedAgent || isScheduling) return;
+
+      // Validate cron expression
+      if (!cronExpression || cronExpression.trim() === "") {
+        toast({
+          variant: "destructive",
+          title: "Invalid schedule",
+          description: "Please enter a valid cron expression",
+        });
+        return;
+      }
+
+      setIsScheduling(true);
+      try {
+        await api.createGraphExecutionSchedule({
+          graph_id: savedAgent.id,
+          graph_version: savedAgent.version,
+          name: scheduleName,
+          cron: cronExpression,
+          inputs: inputs,
+          credentials: credentialsInputs,
+        });
+        toast({
+          title: "Agent scheduling successful",
+        });
+
+        // if scheduling is done from the monitor page, then redirect to monitor page after successful scheduling
+        if (searchParams.get("open_scheduling") === "true") {
+          router.push("/monitoring");
+        }
+      } catch (error) {
+        console.error("Error scheduling agent:", error);
+        toast({
+          variant: "destructive",
+          title: "Error scheduling agent",
+          description: "Please retry",
+        });
+      } finally {
+        setIsScheduling(false);
+      }
+    },
+    [api, savedAgent, isScheduling, toast, searchParams, router],
+  );
+
+  return {
+    agentName,
+    setAgentName,
+    agentDescription,
+    setAgentDescription,
+    savedAgent,
+    availableBlocks,
+    availableFlows,
+    getOutputType,
+    saveAgent,
+    saveAndRun,
+    stopRun,
+    createRunSchedule,
+    isSaving,
+    isRunning,
+    isStopping,
+    isScheduling,
+    graphExecutionError,
+    nodes: xyNodes,
+    setNodes: setXYNodes,
+    edges: xyEdges,
+    setEdges: setXYEdges,
+  };
+}
+
+function graphsEquivalent(saved: Graph, current: GraphCreatable): boolean {
+  const sortNodes = (nodes: NodeCreatable[]) =>
+    nodes.toSorted((a, b) => a.id.localeCompare(b.id));
+
+  const sortLinks = (links: LinkCreatable[]) =>
+    links.toSorted(
+      (a, b) =>
+        8 * a.source_id.localeCompare(b.source_id) +
+        4 * a.sink_id.localeCompare(b.sink_id) +
+        2 * a.source_name.localeCompare(b.source_name) +
+        a.sink_name.localeCompare(b.sink_name),
+    );
+
+  const _saved = {
+    name: saved.name,
+    description: saved.description,
+    nodes: sortNodes(saved.nodes).map((v) => ({
+      block_id: v.block_id,
+      input_default: v.input_default,
+      metadata: v.metadata,
+    })),
+    links: sortLinks(saved.links).map((v) => ({
+      sink_name: v.sink_name,
+      source_name: v.source_name,
+    })),
+  };
+  const _current = {
+    name: current.name,
+    description: current.description,
+    nodes: sortNodes(current.nodes).map(({ id: _, ...rest }) => rest),
+    links: sortLinks(current.links).map(
+      ({ source_id: _, sink_id: __, ...rest }) => rest,
+    ),
+  };
+  return deepEquals(_saved, _current);
+}
+
+function rebuildObjectUsingSchema(
+  schema: BlockIOSubSchema,
+  object: { [key: string]: any },
+): Record<string, any> {
+  let inputData: Record<string, any> = {};
+
+  if ("properties" in schema) {
+    Object.keys(schema.properties).forEach((key) => {
+      if (object[key] !== undefined) {
+        if (
+          "properties" in schema.properties[key] ||
+          "additionalProperties" in schema.properties[key]
+        ) {
+          inputData[key] = rebuildObjectUsingSchema(
+            schema.properties[key],
+            object[key],
+          );
+        } else {
+          inputData[key] = object[key];
+        }
+      }
+    });
+  }
+
+  if ("additionalProperties" in schema) {
+    inputData = { ...inputData, ...object };
+  }
+
+  return inputData;
+}
diff --git a/autogpt_platform/frontend/src/hooks/useCopyPaste.ts b/autogpt_platform/frontend/src/hooks/useCopyPaste.ts
index c5c6400fa865..724cef5aad52 100644
--- a/autogpt_platform/frontend/src/hooks/useCopyPaste.ts
+++ b/autogpt_platform/frontend/src/hooks/useCopyPaste.ts
@@ -1,34 +1,49 @@
 import { useCallback } from "react";
-import { Node, Edge, useReactFlow, useViewport } from "@xyflow/react";
+import { Node, Edge, useReactFlow } from "@xyflow/react";
+import { Key, storage } from "@/services/storage/local-storage";
+
+interface CopyableData {
+  nodes: Node[];
+  edges: Edge[];
+}
 
 export function useCopyPaste(getNextNodeId: () => string) {
-  const { setNodes, addEdges, getNodes, getEdges } = useReactFlow();
-  const { x, y, zoom } = useViewport();
+  const { setNodes, addEdges, getNodes, getEdges, getViewport } =
+    useReactFlow();
+  const { x, y, zoom } = getViewport();
 
   const handleCopyPaste = useCallback(
     (event: KeyboardEvent) => {
       if (event.ctrlKey || event.metaKey) {
         if (event.key === "c" || event.key === "C") {
           const selectedNodes = getNodes().filter((node) => node.selected);
-          const selectedEdges = getEdges().filter((edge) => edge.selected);
+          const selectedNodeIds = new Set(selectedNodes.map((node) => node.id));
 
-          const copiedData = {
+          // Only copy edges where both source and target nodes are selected
+          const selectedEdges = getEdges().filter(
+            (edge) =>
+              edge.selected &&
+              selectedNodeIds.has(edge.source) &&
+              selectedNodeIds.has(edge.target),
+          );
+
+          const copiedData: CopyableData = {
             nodes: selectedNodes.map((node) => ({
               ...node,
               data: {
                 ...node.data,
-                connections: [],
+                connections: node.data.connections || [], // Preserve connections
               },
             })),
             edges: selectedEdges,
           };
 
-          localStorage.setItem("copiedFlowData", JSON.stringify(copiedData));
+          storage.set(Key.COPIED_FLOW_DATA, JSON.stringify(copiedData));
         }
         if (event.key === "v" || event.key === "V") {
-          const copiedDataString = localStorage.getItem("copiedFlowData");
+          const copiedDataString = storage.get(Key.COPIED_FLOW_DATA);
           if (copiedDataString) {
-            const copiedData = JSON.parse(copiedDataString);
+            const copiedData = JSON.parse(copiedDataString) as CopyableData;
             const oldToNewIdMap: Record<string, string> = {};
 
             const viewportCenter = {
@@ -62,13 +77,14 @@ export function useCopyPaste(getNextNodeId: () => string) {
                 },
                 data: {
                   ...node.data,
+                  connections: node.data.connections || [], // Preserve connections
                   status: undefined,
                   executionResults: undefined,
                 },
               };
             });
 
-            const pastedEdges = copiedData.edges.map((edge: Edge) => {
+            const pastedEdges = copiedData.edges.map((edge) => {
               const newSourceId = oldToNewIdMap[edge.source] ?? edge.source;
               const newTargetId = oldToNewIdMap[edge.target] ?? edge.target;
               return {
@@ -87,28 +103,26 @@ export function useCopyPaste(getNextNodeId: () => string) {
 
             setNodes((nodes) => {
               return nodes.map((node) => {
-                if (oldToNewIdMap[node.id]) {
-                  const nodeConnections = pastedEdges
-                    .filter(
-                      (edge) =>
-                        edge.source === node.id || edge.target === node.id,
-                    )
-                    .map((edge) => ({
-                      edge_id: edge.id,
-                      source: edge.source,
-                      target: edge.target,
-                      sourceHandle: edge.sourceHandle,
-                      targetHandle: edge.targetHandle,
-                    }));
-                  return {
-                    ...node,
-                    data: {
-                      ...node.data,
-                      connections: nodeConnections,
-                    },
-                  };
-                }
-                return node;
+                const nodeConnections = getEdges()
+                  .filter(
+                    (edge: Edge) =>
+                      edge.source === node.id || edge.target === node.id,
+                  )
+                  .map((edge: Edge) => ({
+                    edge_id: edge.id,
+                    source: edge.source,
+                    target: edge.target,
+                    sourceHandle: edge.sourceHandle,
+                    targetHandle: edge.targetHandle,
+                  }));
+
+                return {
+                  ...node,
+                  data: {
+                    ...node.data,
+                    connections: nodeConnections,
+                  },
+                };
               });
             });
           }
diff --git a/autogpt_platform/frontend/src/hooks/useCredentials.ts b/autogpt_platform/frontend/src/hooks/useCredentials.ts
index 48c5a337f8ce..64c891b2e3e7 100644
--- a/autogpt_platform/frontend/src/hooks/useCredentials.ts
+++ b/autogpt_platform/frontend/src/hooks/useCredentials.ts
@@ -1,15 +1,15 @@
 import { useContext } from "react";
-import { CustomNodeData } from "@/components/CustomNode";
-import {
-  BlockIOCredentialsSubSchema,
-  CredentialsProviderName,
-} from "@/lib/autogpt-server-api";
-import { Node, useNodeId, useNodesData } from "@xyflow/react";
+import { getValue } from "@/lib/utils";
+
 import {
   CredentialsProviderData,
   CredentialsProvidersContext,
 } from "@/components/integrations/credentials-provider";
-import { getValue } from "@/lib/utils";
+import {
+  BlockIOCredentialsSubSchema,
+  CredentialsProviderName,
+} from "@/lib/autogpt-server-api";
+import { getHostFromUrl } from "@/lib/utils/url";
 
 export type CredentialsData =
   | {
@@ -17,64 +17,75 @@ export type CredentialsData =
       schema: BlockIOCredentialsSubSchema;
       supportsApiKey: boolean;
       supportsOAuth2: boolean;
+      supportsUserPassword: boolean;
+      supportsHostScoped: boolean;
       isLoading: true;
+      discriminatorValue?: string;
     }
   | (CredentialsProviderData & {
       schema: BlockIOCredentialsSubSchema;
       supportsApiKey: boolean;
       supportsOAuth2: boolean;
+      supportsUserPassword: boolean;
+      supportsHostScoped: boolean;
       isLoading: false;
+      discriminatorValue?: string;
     });
 
-export default function useCredentials(): CredentialsData | null {
-  const nodeId = useNodeId();
+export default function useCredentials(
+  credsInputSchema: BlockIOCredentialsSubSchema,
+  nodeInputValues?: Record<string, any>,
+): CredentialsData | null {
   const allProviders = useContext(CredentialsProvidersContext);
 
-  if (!nodeId) {
-    throw new Error("useCredentials must be within a CustomNode");
-  }
-
-  const data = useNodesData<Node<CustomNodeData>>(nodeId)!.data;
-  const credentialsSchema = data.inputSchema.properties
-    .credentials as BlockIOCredentialsSubSchema;
+  const discriminatorValue = [
+    credsInputSchema.discriminator
+      ? getValue(credsInputSchema.discriminator, nodeInputValues)
+      : null,
+    ...(credsInputSchema.discriminator_values || []),
+  ].find(Boolean);
 
-  const discriminatorValue: CredentialsProviderName | null =
-    (credentialsSchema.discriminator &&
-      credentialsSchema.discriminator_mapping![
-        getValue(credentialsSchema.discriminator, data.hardcodedValues)
-      ]) ||
-    null;
+  const discriminatedProvider = credsInputSchema.discriminator_mapping
+    ? credsInputSchema.discriminator_mapping[discriminatorValue]
+    : null;
 
   let providerName: CredentialsProviderName;
-  if (credentialsSchema.credentials_provider.length > 1) {
-    if (!credentialsSchema.discriminator) {
+  if (credsInputSchema.credentials_provider.length > 1) {
+    if (!credsInputSchema.discriminator) {
       throw new Error(
         "Multi-provider credential input requires discriminator!",
       );
     }
-    if (!discriminatorValue) {
+    if (!discriminatedProvider) {
+      console.warn(
+        `Missing discriminator value from '${credsInputSchema.discriminator}': ` +
+          "hiding credentials input until it is set.",
+      );
       return null;
     }
-    providerName = discriminatorValue;
+    providerName = discriminatedProvider;
   } else {
-    providerName = credentialsSchema.credentials_provider[0];
+    providerName = credsInputSchema.credentials_provider[0];
   }
   const provider = allProviders ? allProviders[providerName] : null;
 
   // If block input schema doesn't have credentials, return null
-  if (!credentialsSchema) {
+  if (!credsInputSchema) {
     return null;
   }
 
-  const supportsApiKey =
-    credentialsSchema.credentials_types.includes("api_key");
-  const supportsOAuth2 = credentialsSchema.credentials_types.includes("oauth2");
+  const supportsApiKey = credsInputSchema.credentials_types.includes("api_key");
+  const supportsOAuth2 = credsInputSchema.credentials_types.includes("oauth2");
+  const supportsUserPassword =
+    credsInputSchema.credentials_types.includes("user_password");
+  const supportsHostScoped =
+    credsInputSchema.credentials_types.includes("host_scoped");
 
   // No provider means maybe it's still loading
   if (!provider) {
     // return {
-    //   provider: credentialsSchema.credentials_provider,
-    //   schema: credentialsSchema,
+    //   provider: credsInputSchema.credentials_provider,
+    //   schema: credsInputSchema,
     //   supportsApiKey,
     //   supportsOAuth2,
     //   isLoading: true,
@@ -82,21 +93,41 @@ export default function useCredentials(): CredentialsData | null {
     return null;
   }
 
-  // Filter by OAuth credentials that have sufficient scopes for this block
-  const requiredScopes = credentialsSchema.credentials_scopes;
-  const savedOAuthCredentials = requiredScopes
-    ? provider.savedOAuthCredentials.filter((c) =>
-        new Set(c.scopes).isSupersetOf(new Set(requiredScopes)),
-      )
-    : provider.savedOAuthCredentials;
+  const savedCredentials = provider.savedCredentials.filter((c) => {
+    // First, check if the credential type is supported by this block
+    const supportedTypes = credsInputSchema.credentials_types;
+    if (!supportedTypes.includes(c.type)) {
+      return false;
+    }
+
+    // Filter by OAuth credentials that have sufficient scopes for this block
+    if (c.type === "oauth2") {
+      const requiredScopes = credsInputSchema.credentials_scopes;
+      return (
+        !requiredScopes ||
+        new Set(c.scopes).isSupersetOf(new Set(requiredScopes))
+      );
+    }
+
+    // Filter host_scoped credentials by host matching
+    if (c.type === "host_scoped") {
+      return discriminatorValue && getHostFromUrl(discriminatorValue) == c.host;
+    }
+
+    // Include all other credential types that passed the type check
+    return true;
+  });
 
   return {
     ...provider,
     provider: providerName,
-    schema: credentialsSchema,
+    schema: credsInputSchema,
     supportsApiKey,
     supportsOAuth2,
-    savedOAuthCredentials,
+    supportsUserPassword,
+    supportsHostScoped,
+    savedCredentials,
+    discriminatorValue,
     isLoading: false,
   };
 }
diff --git a/autogpt_platform/frontend/src/hooks/useCredits.ts b/autogpt_platform/frontend/src/hooks/useCredits.ts
new file mode 100644
index 000000000000..43d7423e4c87
--- /dev/null
+++ b/autogpt_platform/frontend/src/hooks/useCredits.ts
@@ -0,0 +1,151 @@
+import AutoGPTServerAPI from "@/lib/autogpt-server-api";
+import {
+  RefundRequest,
+  TransactionHistory,
+} from "@/lib/autogpt-server-api/types";
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { useRouter } from "next/navigation";
+
+export default function useCredits({
+  fetchInitialCredits = false,
+  fetchInitialAutoTopUpConfig = false,
+  fetchInitialTransactionHistory = false,
+  fetchInitialRefundRequests = false,
+}: {
+  fetchInitialCredits?: boolean;
+  fetchInitialAutoTopUpConfig?: boolean;
+  fetchInitialTransactionHistory?: boolean;
+  fetchInitialRefundRequests?: boolean;
+} = {}): {
+  credits: number | null;
+  fetchCredits: () => void;
+  requestTopUp: (credit_amount: number) => Promise<void>;
+  refundTopUp: (transaction_key: string, reason: string) => Promise<number>;
+  autoTopUpConfig: { amount: number; threshold: number } | null;
+  fetchAutoTopUpConfig: () => void;
+  updateAutoTopUpConfig: (amount: number, threshold: number) => Promise<void>;
+  transactionHistory: TransactionHistory;
+  fetchTransactionHistory: () => void;
+  refundRequests: RefundRequest[];
+  fetchRefundRequests: () => void;
+  formatCredits: (credit: number | null) => string;
+} {
+  const [credits, setCredits] = useState<number | null>(null);
+  const [autoTopUpConfig, setAutoTopUpConfig] = useState<{
+    amount: number;
+    threshold: number;
+  } | null>(null);
+
+  const api = useMemo(() => new AutoGPTServerAPI(), []);
+  const router = useRouter();
+
+  const fetchCredits = useCallback(async () => {
+    const response = await api.getUserCredit();
+    setCredits(response.credits);
+  }, [api]);
+
+  useEffect(() => {
+    if (!fetchInitialCredits) return;
+    fetchCredits();
+  }, [fetchCredits, fetchInitialCredits]);
+
+  const fetchAutoTopUpConfig = useCallback(async () => {
+    const response = await api.getAutoTopUpConfig();
+    setAutoTopUpConfig(response);
+  }, [api]);
+
+  useEffect(() => {
+    if (!fetchInitialAutoTopUpConfig) return;
+    fetchAutoTopUpConfig();
+  }, [fetchAutoTopUpConfig, fetchInitialAutoTopUpConfig]);
+
+  const updateAutoTopUpConfig = useCallback(
+    async (amount: number, threshold: number) => {
+      await api.setAutoTopUpConfig({ amount, threshold });
+      fetchAutoTopUpConfig();
+    },
+    [api, fetchAutoTopUpConfig],
+  );
+
+  const requestTopUp = useCallback(
+    async (credit_amount: number) => {
+      const response = await api.requestTopUp(credit_amount);
+      router.push(response.checkout_url);
+    },
+    [api, router],
+  );
+
+  const refundTopUp = useCallback(
+    async (transaction_key: string, reason: string) => {
+      const refunded_amount = await api.refundTopUp(transaction_key, reason);
+      await fetchCredits();
+      setTransactionHistory(await api.getTransactionHistory());
+      return refunded_amount;
+    },
+    [api, fetchCredits],
+  );
+
+  const [transactionHistory, setTransactionHistory] =
+    useState<TransactionHistory>({
+      transactions: [],
+      next_transaction_time: null,
+    });
+
+  const fetchTransactionHistory = useCallback(async () => {
+    const response = await api.getTransactionHistory(
+      transactionHistory.next_transaction_time,
+      20,
+    );
+    setTransactionHistory({
+      transactions: [
+        ...transactionHistory.transactions,
+        ...response.transactions,
+      ],
+      next_transaction_time: response.next_transaction_time,
+    });
+  }, [api, transactionHistory]);
+
+  useEffect(() => {
+    if (!fetchInitialTransactionHistory) return;
+    fetchTransactionHistory();
+    // Note: We only need to fetch transaction history once.
+    // Hence, we should avoid `fetchTransactionHistory` to the dependency array.
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [fetchInitialTransactionHistory]);
+
+  const [refundRequests, setRefundRequests] = useState<RefundRequest[]>([]);
+
+  const fetchRefundRequests = useCallback(async () => {
+    const response = await api.getRefundRequests();
+    setRefundRequests(response);
+  }, [api]);
+
+  useEffect(() => {
+    if (!fetchInitialRefundRequests) return;
+    fetchRefundRequests();
+  }, [fetchRefundRequests, fetchInitialRefundRequests]);
+
+  const formatCredits = useCallback((credit: number | null) => {
+    if (credit === null) {
+      return "-";
+    }
+    const value = Math.abs(credit);
+    const sign = credit < 0 ? "-" : "";
+    return `${sign}$${(value / 100).toFixed(2)}`;
+  }, []);
+
+  return {
+    credits,
+    fetchCredits,
+    requestTopUp,
+    refundTopUp,
+    autoTopUpConfig,
+    fetchAutoTopUpConfig,
+    updateAutoTopUpConfig,
+    transactionHistory,
+    fetchTransactionHistory,
+    refundRequests,
+    fetchRefundRequests,
+    formatCredits,
+  };
+}
diff --git a/autogpt_platform/frontend/src/hooks/useOnboardingTimezoneDetection.ts b/autogpt_platform/frontend/src/hooks/useOnboardingTimezoneDetection.ts
new file mode 100644
index 000000000000..d8b63effe4a0
--- /dev/null
+++ b/autogpt_platform/frontend/src/hooks/useOnboardingTimezoneDetection.ts
@@ -0,0 +1,57 @@
+import { useEffect, useRef } from "react";
+import { usePostV1UpdateUserTimezone } from "@/app/api/__generated__/endpoints/auth/auth";
+
+/**
+ * Hook to silently detect and set user's timezone during onboarding
+ * This version doesn't show any toast notifications
+ * @returns void
+ */
+export const useOnboardingTimezoneDetection = () => {
+  const updateTimezone = usePostV1UpdateUserTimezone();
+  const hasAttemptedDetection = useRef(false);
+
+  useEffect(() => {
+    // Only attempt once
+    if (hasAttemptedDetection.current) {
+      return;
+    }
+
+    const detectAndSetTimezone = async () => {
+      // Mark that we've attempted detection
+      hasAttemptedDetection.current = true;
+
+      try {
+        // Detect browser timezone
+        const browserTimezone =
+          Intl.DateTimeFormat().resolvedOptions().timeZone;
+
+        if (!browserTimezone) {
+          console.error("Could not detect browser timezone during onboarding");
+          return;
+        }
+
+        // Silently update the timezone in the backend
+        await updateTimezone.mutateAsync({
+          data: { timezone: browserTimezone } as any,
+        });
+
+        console.log(
+          `Timezone automatically set to ${browserTimezone} during onboarding`,
+        );
+      } catch (error) {
+        console.error(
+          "Failed to auto-detect timezone during onboarding:",
+          error,
+        );
+        // Silent failure - user can still set timezone manually later
+      }
+    };
+
+    // Small delay to ensure user is created
+    const timer = setTimeout(() => {
+      detectAndSetTimezone();
+    }, 1000);
+
+    return () => clearTimeout(timer);
+  }, []); // Run once on mount
+};
diff --git a/autogpt_platform/frontend/src/hooks/useSupabase.ts b/autogpt_platform/frontend/src/hooks/useSupabase.ts
deleted file mode 100644
index 562fff97d353..000000000000
--- a/autogpt_platform/frontend/src/hooks/useSupabase.ts
+++ /dev/null
@@ -1,42 +0,0 @@
-import { createBrowserClient } from "@supabase/ssr";
-import { User } from "@supabase/supabase-js";
-import { useEffect, useMemo, useState } from "react";
-
-export default function useSupabase() {
-  const [user, setUser] = useState<User | null>(null);
-  const [isUserLoading, setIsUserLoading] = useState(true);
-
-  const supabase = useMemo(() => {
-    try {
-      return createBrowserClient(
-        process.env.NEXT_PUBLIC_SUPABASE_URL!,
-        process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!,
-      );
-    } catch (error) {
-      console.error("Error creating Supabase client", error);
-      return null;
-    }
-  }, []);
-
-  useEffect(() => {
-    if (!supabase) {
-      setIsUserLoading(false);
-      return;
-    }
-
-    const fetchUser = async () => {
-      const response = await supabase.auth.getUser();
-
-      if (response.error) {
-        console.error("Error fetching user", response.error);
-      } else {
-        setUser(response.data.user);
-      }
-      setIsUserLoading(false);
-    };
-
-    fetchUser();
-  }, [supabase]);
-
-  return { supabase, user, isUserLoading };
-}
diff --git a/autogpt_platform/frontend/src/hooks/useTimezoneDetection.ts b/autogpt_platform/frontend/src/hooks/useTimezoneDetection.ts
new file mode 100644
index 000000000000..f3e411f4fb02
--- /dev/null
+++ b/autogpt_platform/frontend/src/hooks/useTimezoneDetection.ts
@@ -0,0 +1,67 @@
+import { useCallback, useEffect, useRef } from "react";
+import { usePostV1UpdateUserTimezone } from "@/app/api/__generated__/endpoints/auth/auth";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { useQueryClient } from "@tanstack/react-query";
+
+/**
+ * Hook to automatically detect and set user's timezone if it's not set
+ * @param currentTimezone - The current timezone value from the backend
+ * @returns Object with detection status and manual trigger function
+ */
+export const useTimezoneDetection = (currentTimezone?: string) => {
+  const updateTimezone = usePostV1UpdateUserTimezone();
+  const { toast } = useToast();
+  const queryClient = useQueryClient();
+  const hasAttemptedDetection = useRef(false);
+
+  const detectAndSetTimezone = useCallback(async () => {
+    // Mark that we've attempted detection to prevent multiple attempts
+    hasAttemptedDetection.current = true;
+
+    try {
+      // Detect browser timezone
+      const browserTimezone = Intl.DateTimeFormat().resolvedOptions().timeZone;
+
+      if (!browserTimezone) {
+        console.error("Could not detect browser timezone");
+        return;
+      }
+
+      // Update the timezone in the backend
+      await updateTimezone.mutateAsync({
+        data: { timezone: browserTimezone } as any,
+      });
+
+      // Invalidate queries to refresh the data
+      await queryClient.invalidateQueries({
+        queryKey: ["/api/auth/user/timezone"],
+      });
+
+      // Show success notification
+      toast({
+        title: "Timezone detected",
+        description: `We've set your timezone to ${browserTimezone}. You can change this in settings.`,
+        variant: "success",
+      });
+
+      return browserTimezone;
+    } catch (error) {
+      console.error("Failed to auto-detect timezone:", error);
+      // Silent failure - don't show error toast for auto-detection
+      // User can still manually set timezone in settings
+    }
+  }, [updateTimezone, queryClient, toast]);
+
+  useEffect(() => {
+    // Only proceed if timezone is "not-set" and we haven't already attempted detection
+    if (currentTimezone !== "not-set" || hasAttemptedDetection.current) {
+      return;
+    }
+
+    detectAndSetTimezone();
+  }, [currentTimezone, detectAndSetTimezone]);
+
+  return {
+    isNotSet: currentTimezone === "not-set",
+  };
+};
diff --git a/autogpt_platform/frontend/src/hooks/useTurnstile.ts b/autogpt_platform/frontend/src/hooks/useTurnstile.ts
new file mode 100644
index 000000000000..c6e7d85bccb1
--- /dev/null
+++ b/autogpt_platform/frontend/src/hooks/useTurnstile.ts
@@ -0,0 +1,180 @@
+import { useState, useCallback, useEffect } from "react";
+import { verifyTurnstileToken } from "@/lib/turnstile";
+import { BehaveAs, getBehaveAs } from "@/lib/utils";
+import { isServerSide } from "@/lib/utils/is-server-side";
+
+interface UseTurnstileOptions {
+  action?: string;
+  autoVerify?: boolean;
+  onSuccess?: () => void;
+  onError?: (error: Error) => void;
+  resetOnError?: boolean;
+}
+
+interface UseTurnstileResult {
+  token: string | null;
+  verifying: boolean;
+  verified: boolean;
+  error: Error | null;
+  handleVerify: (token: string) => Promise<boolean>;
+  handleExpire: () => void;
+  handleError: (error: Error) => void;
+  reset: () => void;
+  siteKey: string;
+  shouldRender: boolean;
+  setWidgetId: (id: string | null) => void;
+}
+
+const TURNSTILE_SITE_KEY =
+  process.env.NEXT_PUBLIC_CLOUDFLARE_TURNSTILE_SITE_KEY || "";
+
+/**
+ * Custom hook for managing Turnstile state in forms
+ */
+export function useTurnstile({
+  action,
+  autoVerify = true,
+  onSuccess,
+  onError,
+  resetOnError = true,
+}: UseTurnstileOptions = {}): UseTurnstileResult {
+  const [token, setToken] = useState<string | null>(null);
+  const [verifying, setVerifying] = useState(false);
+  const [verified, setVerified] = useState(false);
+  const [error, setError] = useState<Error | null>(null);
+  const [shouldRender, setShouldRender] = useState(false);
+  const [widgetId, setWidgetId] = useState<string | null>(null);
+
+  useEffect(() => {
+    const behaveAs = getBehaveAs();
+    const hasTurnstileKey = !!TURNSTILE_SITE_KEY;
+    const turnstileDisabled = process.env.NEXT_PUBLIC_TURNSTILE !== "enabled";
+
+    // Only render Turnstile in cloud environment if not explicitly disabled
+    setShouldRender(
+      behaveAs === BehaveAs.CLOUD && hasTurnstileKey && !turnstileDisabled,
+    );
+
+    // Skip verification if disabled, in local development, or no key
+    if (turnstileDisabled || behaveAs !== BehaveAs.CLOUD || !hasTurnstileKey) {
+      setVerified(true);
+    }
+  }, []);
+
+  useEffect(() => {
+    if (token && !autoVerify && shouldRender) {
+      setVerified(true);
+    }
+  }, [token, autoVerify, shouldRender]);
+
+  const setWidgetIdCallback = useCallback((id: string | null) => {
+    setWidgetId(id);
+  }, []);
+
+  const reset = useCallback(() => {
+    // Always reset the state when reset is called, regardless of shouldRender
+    // This ensures users can retry CAPTCHA after failed attempts
+    setToken(null);
+    setVerified(false);
+    setVerifying(false);
+    setError(null);
+
+    // Only reset the actual Turnstile widget if it exists and shouldRender is true
+    if (shouldRender && !isServerSide() && window.turnstile && widgetId) {
+      try {
+        window.turnstile.reset(widgetId);
+      } catch (err) {
+        console.warn("Failed to reset Turnstile widget:", err);
+      }
+    }
+  }, [shouldRender, widgetId]);
+
+  const handleVerify = useCallback(
+    async (newToken: string) => {
+      if (!shouldRender) {
+        return true;
+      }
+
+      setToken(newToken);
+      setError(null);
+
+      if (autoVerify) {
+        setVerifying(true);
+
+        try {
+          const success = await verifyTurnstileToken(newToken, action);
+          setVerified(success);
+
+          if (success && onSuccess) {
+            onSuccess();
+          } else if (!success) {
+            const newError = new Error("Turnstile verification failed");
+            setError(newError);
+            if (onError) onError(newError);
+            if (resetOnError) {
+              setToken(null);
+              setVerified(false);
+            }
+          }
+
+          setVerifying(false);
+          return success;
+        } catch (err) {
+          const newError =
+            err instanceof Error
+              ? err
+              : new Error("Unknown error during verification");
+          setError(newError);
+          if (resetOnError) {
+            setToken(null);
+            setVerified(false);
+          }
+          setVerifying(false);
+          if (onError) onError(newError);
+          return false;
+        }
+      } else {
+        setVerified(true);
+      }
+
+      return true;
+    },
+    [action, autoVerify, onSuccess, onError, resetOnError, shouldRender],
+  );
+
+  const handleExpire = useCallback(() => {
+    if (shouldRender) {
+      setToken(null);
+      setVerified(false);
+      setError(null);
+    }
+  }, [shouldRender]);
+
+  const handleError = useCallback(
+    (err: Error) => {
+      if (shouldRender) {
+        setError(err);
+        if (resetOnError) {
+          setToken(null);
+          setVerified(false);
+        }
+        if (onError) onError(err);
+      }
+    },
+    [onError, shouldRender, resetOnError],
+  );
+
+  return {
+    token,
+    verifying,
+    verified,
+    error,
+    handleVerify,
+    handleExpire,
+    handleError,
+    reset,
+    siteKey: TURNSTILE_SITE_KEY,
+    shouldRender,
+    setWidgetId: setWidgetIdCallback,
+  };
+}
diff --git a/autogpt_platform/frontend/src/lib/autogpt-server-api/client.ts b/autogpt_platform/frontend/src/lib/autogpt-server-api/client.ts
index cc3e638b59d6..7dc3cfc54a7e 100644
--- a/autogpt_platform/frontend/src/lib/autogpt-server-api/client.ts
+++ b/autogpt_platform/frontend/src/lib/autogpt-server-api/client.ts
@@ -1,90 +1,224 @@
-import { SupabaseClient } from "@supabase/supabase-js";
+import { getWebSocketToken } from "@/lib/supabase/actions";
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { createBrowserClient } from "@supabase/ssr";
+import type { SupabaseClient } from "@supabase/supabase-js";
+import { Key, storage } from "@/services/storage/local-storage";
 import {
+  getAgptServerApiUrl,
+  getAgptWsServerUrl,
+  getSupabaseUrl,
+  getSupabaseAnonKey,
+} from "@/lib/env-config";
+import * as Sentry from "@sentry/nextjs";
+import type {
+  AddUserCreditsResponse,
   AnalyticsDetails,
   AnalyticsMetrics,
+  APIKey,
   APIKeyCredentials,
+  APIKeyPermission,
   Block,
+  CreateAPIKeyResponse,
+  CreatorDetails,
+  CreatorsResponse,
+  Credentials,
   CredentialsDeleteNeedConfirmationResponse,
   CredentialsDeleteResponse,
+  CredentialsMetaInput,
   CredentialsMetaResponse,
-  GraphExecution,
   Graph,
   GraphCreatable,
-  GraphExecuteResponse,
+  GraphExecution,
+  GraphExecutionID,
+  GraphExecutionMeta,
+  GraphExecutionsResponse,
+  GraphID,
   GraphMeta,
   GraphUpdateable,
-  NodeExecutionResult,
+  HostScopedCredentials,
+  LibraryAgent,
+  LibraryAgentID,
+  LibraryAgentPreset,
+  LibraryAgentPresetCreatable,
+  LibraryAgentPresetCreatableFromGraphExecution,
+  LibraryAgentPresetID,
+  LibraryAgentPresetResponse,
+  LibraryAgentPresetUpdatable,
+  LibraryAgentResponse,
+  LibraryAgentSortEnum,
   MyAgentsResponse,
-  OAuth2Credentials,
+  NodeExecutionResult,
+  NotificationPreference,
+  NotificationPreferenceDTO,
+  OttoQuery,
+  OttoResponse,
   ProfileDetails,
-  User,
-  StoreAgentsResponse,
+  RefundRequest,
+  ReviewSubmissionRequest,
+  Schedule,
+  ScheduleCreatable,
+  ScheduleID,
   StoreAgentDetails,
-  CreatorsResponse,
-  CreatorDetails,
-  StoreSubmissionsResponse,
-  StoreSubmissionRequest,
-  StoreSubmission,
-  StoreReviewCreate,
+  StoreAgentsResponse,
+  StoreListingsWithVersionsResponse,
   StoreReview,
-  ScheduleCreatable,
-  Schedule,
+  StoreReviewCreate,
+  StoreSubmission,
+  StoreSubmissionRequest,
+  StoreSubmissionsResponse,
+  SubmissionStatus,
+  TransactionHistory,
+  User,
+  UserOnboarding,
+  UserPasswordCredentials,
+  UsersBalanceHistoryResponse,
 } from "./types";
-import { createBrowserClient } from "@supabase/ssr";
-import getServerSupabase from "../supabase/getServerSupabase";
+import { isServerSide } from "../utils/is-server-side";
 
-const isClient = typeof window !== "undefined";
+const isClient = !isServerSide();
 
 export default class BackendAPI {
   private baseUrl: string;
   private wsUrl: string;
   private webSocket: WebSocket | null = null;
   private wsConnecting: Promise<void> | null = null;
+  private wsOnConnectHandlers: Set<() => void> = new Set();
+  private wsOnDisconnectHandlers: Set<() => void> = new Set();
   private wsMessageHandlers: Record<string, Set<(data: any) => void>> = {};
-  heartbeatInterval: number | null = null;
-  readonly HEARTBEAT_INTERVAL = 10_0000; // 100 seconds
+  private isIntentionallyDisconnected: boolean = false;
+
+  readonly HEARTBEAT_INTERVAL = 100_000; // 100 seconds
   readonly HEARTBEAT_TIMEOUT = 10_000; // 10 seconds
-  heartbeatTimeoutId: number | null = null;
+  heartbeatIntervalID: number | null = null;
+  heartbeatTimeoutID: number | null = null;
 
   constructor(
-    baseUrl: string = process.env.NEXT_PUBLIC_AGPT_SERVER_URL ||
-      "http://localhost:8006/api",
-    wsUrl: string = process.env.NEXT_PUBLIC_AGPT_WS_SERVER_URL ||
-      "ws://localhost:8001/ws",
+    baseUrl: string = getAgptServerApiUrl(),
+    wsUrl: string = getAgptWsServerUrl(),
   ) {
     this.baseUrl = baseUrl;
     this.wsUrl = wsUrl;
   }
 
-  private get supabaseClient(): SupabaseClient | null {
+  private async getSupabaseClient(): Promise<SupabaseClient | null> {
     return isClient
-      ? createBrowserClient(
-          process.env.NEXT_PUBLIC_SUPABASE_URL!,
-          process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!,
-        )
-      : getServerSupabase();
+      ? createBrowserClient(getSupabaseUrl(), getSupabaseAnonKey(), {
+          isSingleton: true,
+        })
+      : await getServerSupabase();
   }
 
   async isAuthenticated(): Promise<boolean> {
-    if (!this.supabaseClient) return false;
+    const supabaseClient = await this.getSupabaseClient();
+    if (!supabaseClient) return false;
     const {
-      data: { user },
-    } = await this.supabaseClient?.auth.getUser();
-    return user != null;
+      data: { session },
+    } = await supabaseClient.auth.getSession();
+    return session != null;
   }
 
   createUser(): Promise<User> {
     return this._request("POST", "/auth/user", {});
   }
 
-  getUserCredit(page?: string): Promise<{ credits: number }> {
+  updateUserEmail(email: string): Promise<{ email: string }> {
+    return this._request("POST", "/auth/user/email", { email });
+  }
+
+  ////////////////////////////////////////
+  /////////////// CREDITS ////////////////
+  ////////////////////////////////////////
+
+  getUserCredit(): Promise<{ credits: number }> {
     try {
-      return this._get(`/credits`, undefined, page);
-    } catch (error) {
+      return this._get("/credits");
+    } catch {
       return Promise.resolve({ credits: 0 });
     }
   }
 
+  getUserPreferences(): Promise<NotificationPreferenceDTO> {
+    return this._get("/auth/user/preferences");
+  }
+
+  updateUserPreferences(
+    preferences: NotificationPreferenceDTO,
+  ): Promise<NotificationPreference> {
+    return this._request("POST", "/auth/user/preferences", preferences);
+  }
+
+  getAutoTopUpConfig(): Promise<{ amount: number; threshold: number }> {
+    return this._get("/credits/auto-top-up");
+  }
+
+  setAutoTopUpConfig(config: {
+    amount: number;
+    threshold: number;
+  }): Promise<{ amount: number; threshold: number }> {
+    return this._request("POST", "/credits/auto-top-up", config);
+  }
+
+  getTransactionHistory(
+    lastTransction: Date | null = null,
+    countLimit: number | null = null,
+    transactionType: string | null = null,
+  ): Promise<TransactionHistory> {
+    const filters: Record<string, any> = {};
+    if (lastTransction) filters.transaction_time = lastTransction;
+    if (countLimit) filters.transaction_count_limit = countLimit;
+    if (transactionType) filters.transaction_type = transactionType;
+    return this._get(`/credits/transactions`, filters);
+  }
+
+  getRefundRequests(): Promise<RefundRequest[]> {
+    return this._get(`/credits/refunds`);
+  }
+
+  requestTopUp(credit_amount: number): Promise<{ checkout_url: string }> {
+    return this._request("POST", "/credits", { credit_amount });
+  }
+
+  refundTopUp(transaction_key: string, reason: string): Promise<number> {
+    return this._request("POST", `/credits/${transaction_key}/refund`, {
+      reason,
+    });
+  }
+
+  getUserPaymentPortalLink(): Promise<{ url: string }> {
+    return this._get("/credits/manage");
+  }
+
+  fulfillCheckout(): Promise<void> {
+    return this._request("PATCH", "/credits");
+  }
+
+  ////////////////////////////////////////
+  ////////////// ONBOARDING //////////////
+  ////////////////////////////////////////
+
+  getUserOnboarding(): Promise<UserOnboarding> {
+    return this._get("/onboarding");
+  }
+
+  updateUserOnboarding(
+    onboarding: Omit<Partial<UserOnboarding>, "rewardedFor">,
+  ): Promise<void> {
+    return this._request("PATCH", "/onboarding", onboarding);
+  }
+
+  getOnboardingAgents(): Promise<StoreAgentDetails[]> {
+    return this._get("/onboarding/agents");
+  }
+
+  /** Check if onboarding is enabled not if user finished it or not. */
+  isOnboardingEnabled(): Promise<boolean> {
+    return this._get("/onboarding/enabled");
+  }
+
+  ////////////////////////////////////////
+  //////////////// GRAPHS ////////////////
+  ////////////////////////////////////////
+
   getBlocks(): Promise<Block[]> {
     return this._get("/blocks");
   }
@@ -93,74 +227,92 @@ export default class BackendAPI {
     return this._get(`/graphs`);
   }
 
-  getExecutions(): Promise<GraphExecution[]> {
-    return this._get(`/executions`);
-  }
-
-  getGraph(
-    id: string,
+  async getGraph(
+    id: GraphID,
     version?: number,
-    hide_credentials?: boolean,
+    for_export?: boolean,
   ): Promise<Graph> {
-    let query: Record<string, any> = {};
+    const query: Record<string, any> = {};
     if (version !== undefined) {
       query["version"] = version;
     }
-    if (hide_credentials !== undefined) {
-      query["hide_credentials"] = hide_credentials;
+    if (for_export !== undefined) {
+      query["for_export"] = for_export;
     }
-    return this._get(`/graphs/${id}`, query);
+    const graph = await this._get(`/graphs/${id}`, query);
+    if (for_export) delete graph.user_id;
+    return graph;
   }
 
-  getGraphAllVersions(id: string): Promise<Graph[]> {
+  getGraphAllVersions(id: GraphID): Promise<Graph[]> {
     return this._get(`/graphs/${id}/versions`);
   }
 
-  createGraph(graphCreateBody: GraphCreatable): Promise<Graph>;
-
-  createGraph(graphID: GraphCreatable | string): Promise<Graph> {
-    let requestBody = { graph: graphID } as GraphCreateRequestBody;
+  createGraph(graph: GraphCreatable): Promise<Graph> {
+    const requestBody = { graph } as GraphCreateRequestBody;
 
     return this._request("POST", "/graphs", requestBody);
   }
 
-  updateGraph(id: string, graph: GraphUpdateable): Promise<Graph> {
+  updateGraph(id: GraphID, graph: GraphUpdateable): Promise<Graph> {
     return this._request("PUT", `/graphs/${id}`, graph);
   }
 
-  deleteGraph(id: string): Promise<void> {
+  deleteGraph(id: GraphID): Promise<void> {
     return this._request("DELETE", `/graphs/${id}`);
   }
 
-  setGraphActiveVersion(id: string, version: number): Promise<Graph> {
+  setGraphActiveVersion(id: GraphID, version: number): Promise<Graph> {
     return this._request("PUT", `/graphs/${id}/versions/active`, {
       active_graph_version: version,
     });
   }
 
   executeGraph(
-    id: string,
-    inputData: { [key: string]: any } = {},
-  ): Promise<GraphExecuteResponse> {
-    return this._request("POST", `/graphs/${id}/execute`, inputData);
+    id: GraphID,
+    version: number,
+    inputs: { [key: string]: any } = {},
+    credentials_inputs: { [key: string]: CredentialsMetaInput } = {},
+  ): Promise<{ graph_exec_id: GraphExecutionID }> {
+    return this._request("POST", `/graphs/${id}/execute/${version}`, {
+      inputs,
+      credentials_inputs,
+    });
   }
 
-  async getGraphExecutionInfo(
-    graphID: string,
-    runID: string,
-  ): Promise<NodeExecutionResult[]> {
-    return (await this._get(`/graphs/${graphID}/executions/${runID}`)).map(
-      parseNodeExecutionResultTimestamps,
+  getExecutions(): Promise<GraphExecutionMeta[]> {
+    return this._get(`/executions`).then((results) =>
+      results.map(parseGraphExecutionTimestamps),
+    );
+  }
+
+  getGraphExecutions(graphID: GraphID): Promise<GraphExecutionsResponse> {
+    return this._get(`/graphs/${graphID}/executions`).then((results) =>
+      results.map(parseGraphExecutionTimestamps),
     );
   }
 
+  async getGraphExecutionInfo(
+    graphID: GraphID,
+    runID: GraphExecutionID,
+  ): Promise<GraphExecution> {
+    const result = await this._get(`/graphs/${graphID}/executions/${runID}`);
+    return parseGraphExecutionTimestamps<GraphExecution>(result);
+  }
+
   async stopGraphExecution(
-    graphID: string,
-    runID: string,
-  ): Promise<NodeExecutionResult[]> {
-    return (
-      await this._request("POST", `/graphs/${graphID}/executions/${runID}/stop`)
-    ).map(parseNodeExecutionResultTimestamps);
+    graphID: GraphID,
+    runID: GraphExecutionID,
+  ): Promise<GraphExecution> {
+    const result = await this._request(
+      "POST",
+      `/graphs/${graphID}/executions/${runID}/stop`,
+    );
+    return parseGraphExecutionTimestamps<GraphExecution>(result);
+  }
+
+  async deleteGraphExecution(runID: GraphExecutionID): Promise<void> {
+    await this._request("DELETE", `/executions/${runID}`);
   }
 
   oAuthLogin(
@@ -188,10 +340,34 @@ export default class BackendAPI {
     return this._request(
       "POST",
       `/integrations/${credentials.provider}/credentials`,
-      credentials,
+      { ...credentials, type: "api_key" },
+    );
+  }
+
+  createUserPasswordCredentials(
+    credentials: Omit<UserPasswordCredentials, "id" | "type">,
+  ): Promise<UserPasswordCredentials> {
+    return this._request(
+      "POST",
+      `/integrations/${credentials.provider}/credentials`,
+      { ...credentials, type: "user_password" },
     );
   }
 
+  createHostScopedCredentials(
+    credentials: Omit<HostScopedCredentials, "id" | "type">,
+  ): Promise<HostScopedCredentials> {
+    return this._request(
+      "POST",
+      `/integrations/${credentials.provider}/credentials`,
+      { ...credentials, type: "host_scoped" },
+    );
+  }
+
+  listProviders(): Promise<string[]> {
+    return this._get("/integrations/providers");
+  }
+
   listCredentials(provider?: string): Promise<CredentialsMetaResponse[]> {
     return this._get(
       provider
@@ -200,10 +376,7 @@ export default class BackendAPI {
     );
   }
 
-  getCredentials(
-    provider: string,
-    id: string,
-  ): Promise<APIKeyCredentials | OAuth2Credentials> {
+  getCredentials(provider: string, id: string): Promise<Credentials> {
     return this._get(`/integrations/${provider}/credentials/${id}`);
   }
 
@@ -221,6 +394,36 @@ export default class BackendAPI {
     );
   }
 
+  // API Key related requests
+  async createAPIKey(
+    name: string,
+    permissions: APIKeyPermission[],
+    description?: string,
+  ): Promise<CreateAPIKeyResponse> {
+    return this._request("POST", "/api-keys", {
+      name,
+      permissions,
+      description,
+    });
+  }
+
+  async listAPIKeys(): Promise<APIKey[]> {
+    return this._get("/api-keys");
+  }
+
+  async revokeAPIKey(keyId: string): Promise<APIKey> {
+    return this._request("DELETE", `/api-keys/${keyId}`);
+  }
+
+  async updateAPIKeyPermissions(
+    keyId: string,
+    permissions: APIKeyPermission[],
+  ): Promise<APIKey> {
+    return this._request("PUT", `/api-keys/${keyId}/permissions`, {
+      permissions,
+    });
+  }
+
   /**
    * @returns `true` if a ping event was received, `false` if provider doesn't support pinging but the webhook exists.
    * @throws  `Error` if the webhook does not exist.
@@ -238,14 +441,13 @@ export default class BackendAPI {
     return this._request("POST", "/analytics/log_raw_analytics", analytic);
   }
 
-  ///////////////////////////////////////////
-  /////////// V2 STORE API /////////////////
-  /////////////////////////////////////////
+  ////////////////////////////////////////
+  ///////////// V2 STORE API /////////////
+  ////////////////////////////////////////
 
-  getStoreProfile(page?: string): Promise<ProfileDetails | null> {
+  getStoreProfile(): Promise<ProfileDetails | null> {
     try {
-      console.log("+++ Making API from: ", page);
-      const result = this._get("/store/profile", undefined, page);
+      const result = this._get("/store/profile");
       return result;
     } catch (error) {
       console.error("Error fetching store profile:", error);
@@ -269,7 +471,23 @@ export default class BackendAPI {
     username: string,
     agentName: string,
   ): Promise<StoreAgentDetails> {
-    return this._get(`/store/agents/${username}/${agentName}`);
+    return this._get(
+      `/store/agents/${encodeURIComponent(username)}/${encodeURIComponent(
+        agentName,
+      )}`,
+    );
+  }
+
+  getGraphMetaByStoreListingVersionID(
+    storeListingVersionID: string,
+  ): Promise<GraphMeta> {
+    return this._get(`/store/graph/${storeListingVersionID}`);
+  }
+
+  getStoreAgentByVersionId(
+    storeListingVersionID: string,
+  ): Promise<StoreAgentDetails> {
+    return this._get(`/store/agents/${storeListingVersionID}`);
   }
 
   getStoreCreators(params?: {
@@ -283,7 +501,7 @@ export default class BackendAPI {
   }
 
   getStoreCreator(username: string): Promise<CreatorDetails> {
-    return this._get(`/store/creator/${username}`);
+    return this._get(`/store/creator/${encodeURIComponent(username)}`);
   }
 
   getStoreSubmissions(params?: {
@@ -299,16 +517,51 @@ export default class BackendAPI {
     return this._request("POST", "/store/submissions", submission);
   }
 
+  generateStoreSubmissionImage(
+    agent_id: string,
+  ): Promise<{ image_url: string }> {
+    return this._request(
+      "POST",
+      "/store/submissions/generate_image?agent_id=" + agent_id,
+    );
+  }
+
   deleteStoreSubmission(submission_id: string): Promise<boolean> {
     return this._request("DELETE", `/store/submissions/${submission_id}`);
   }
 
   uploadStoreSubmissionMedia(file: File): Promise<string> {
-    const formData = new FormData();
-    formData.append("file", file);
     return this._uploadFile("/store/submissions/media", file);
   }
 
+  uploadFile(
+    file: File,
+    provider: string = "gcs",
+    expiration_hours: number = 24,
+    onProgress?: (progress: number) => void,
+  ): Promise<{
+    file_uri: string;
+    file_name: string;
+    size: number;
+    content_type: string;
+    expires_in_hours: number;
+  }> {
+    return this._uploadFileWithProgress(
+      "/files/upload",
+      file,
+      {
+        provider,
+        expiration_hours,
+      },
+      onProgress,
+    ).then((response) => {
+      if (typeof response === "string") {
+        return JSON.parse(response);
+      }
+      return response;
+    });
+  }
+
   updateStoreProfile(profile: ProfileDetails): Promise<ProfileDetails> {
     return this._request("POST", "/store/profile", profile);
   }
@@ -318,10 +571,11 @@ export default class BackendAPI {
     agentName: string,
     review: StoreReviewCreate,
   ): Promise<StoreReview> {
-    console.log("Reviewing agent: ", username, agentName, review);
     return this._request(
       "POST",
-      `/store/agents/${username}/${agentName}/review`,
+      `/store/agents/${encodeURIComponent(username)}/${encodeURIComponent(
+        agentName,
+      )}/review`,
       review,
     );
   }
@@ -333,319 +587,696 @@ export default class BackendAPI {
     return this._get("/store/myagents", params);
   }
 
+  downloadStoreAgent(
+    storeListingVersionId: string,
+    version?: number,
+  ): Promise<BlobPart> {
+    const url = version
+      ? `/store/download/agents/${storeListingVersionId}?version=${version}`
+      : `/store/download/agents/${storeListingVersionId}`;
+
+    return this._get(url);
+  }
+
   /////////////////////////////////////////
-  /////////// V2 LIBRARY API //////////////
+  /////////// Admin API ///////////////////
   /////////////////////////////////////////
 
-  async listLibraryAgents(): Promise<GraphMeta[]> {
-    return this._get("/library/agents");
+  getAdminListingsWithVersions(params?: {
+    status?: SubmissionStatus;
+    search?: string;
+    page?: number;
+    page_size?: number;
+  }): Promise<StoreListingsWithVersionsResponse> {
+    return this._get("/store/admin/listings", params);
+  }
+
+  reviewSubmissionAdmin(
+    storeListingVersionId: string,
+    review: ReviewSubmissionRequest,
+  ): Promise<StoreSubmission> {
+    return this._request(
+      "POST",
+      `/store/admin/submissions/${storeListingVersionId}/review`,
+      review,
+    );
+  }
+
+  addUserCredits(
+    user_id: string,
+    amount: number,
+    comments: string,
+  ): Promise<AddUserCreditsResponse> {
+    return this._request("POST", "/credits/admin/add_credits", {
+      user_id,
+      amount,
+      comments,
+    });
+  }
+
+  getUsersHistory(params?: {
+    search?: string;
+    page?: number;
+    page_size?: number;
+    transaction_filter?: string;
+  }): Promise<UsersBalanceHistoryResponse> {
+    return this._get("/credits/admin/users_history", params);
+  }
+
+  downloadStoreAgentAdmin(storeListingVersionId: string): Promise<BlobPart> {
+    const url = `/store/admin/submissions/download/${storeListingVersionId}`;
+
+    return this._get(url);
   }
 
-  async addAgentToLibrary(storeListingVersionId: string): Promise<void> {
-    await this._request("POST", `/library/agents/${storeListingVersionId}`);
+  ////////////////////////////////////////
+  //////////// V2 LIBRARY API ////////////
+  ////////////////////////////////////////
+
+  listLibraryAgents(params?: {
+    search_term?: string;
+    sort_by?: LibraryAgentSortEnum;
+    page?: number;
+    page_size?: number;
+  }): Promise<LibraryAgentResponse> {
+    return this._get("/library/agents", params);
   }
 
-  ///////////////////////////////////////////
-  /////////// INTERNAL FUNCTIONS ////////////
-  //////////////////////////////??///////////
+  getLibraryAgent(id: LibraryAgentID): Promise<LibraryAgent> {
+    return this._get(`/library/agents/${id}`);
+  }
 
-  private async _get(path: string, query?: Record<string, any>, page?: string) {
-    return this._request("GET", path, query, page);
+  getLibraryAgentByStoreListingVersionID(
+    storeListingVersionId: string,
+  ): Promise<LibraryAgent | null> {
+    return this._get(`/library/agents/marketplace/${storeListingVersionId}`);
   }
 
-  async createSchedule(schedule: ScheduleCreatable): Promise<Schedule> {
-    return this._request("POST", `/schedules`, schedule);
+  getLibraryAgentByGraphID(
+    graphID: GraphID,
+    graphVersion?: number,
+  ): Promise<LibraryAgent> {
+    return this._get(`/library/agents/by-graph/${graphID}`, {
+      version: graphVersion,
+    });
   }
 
-  async deleteSchedule(scheduleId: string): Promise<Schedule> {
-    return this._request("DELETE", `/schedules/${scheduleId}`);
+  addMarketplaceAgentToLibrary(
+    storeListingVersionID: string,
+  ): Promise<LibraryAgent> {
+    return this._request("POST", "/library/agents", {
+      store_listing_version_id: storeListingVersionID,
+    });
+  }
+
+  updateLibraryAgent(
+    libraryAgentId: LibraryAgentID,
+    params: {
+      auto_update_version?: boolean;
+      is_favorite?: boolean;
+      is_archived?: boolean;
+    },
+  ): Promise<LibraryAgent> {
+    return this._request("PATCH", `/library/agents/${libraryAgentId}`, params);
   }
 
-  async listSchedules(): Promise<Schedule[]> {
-    return this._get(`/schedules`);
+  async deleteLibraryAgent(libraryAgentId: LibraryAgentID): Promise<void> {
+    await this._request("DELETE", `/library/agents/${libraryAgentId}`);
+  }
+
+  forkLibraryAgent(libraryAgentId: LibraryAgentID): Promise<LibraryAgent> {
+    return this._request("POST", `/library/agents/${libraryAgentId}/fork`);
+  }
+
+  async setupAgentTrigger(params: {
+    name: string;
+    description?: string;
+    graph_id: GraphID;
+    graph_version: number;
+    trigger_config: Record<string, any>;
+    agent_credentials: Record<string, CredentialsMetaInput>;
+  }): Promise<LibraryAgentPreset> {
+    return parseLibraryAgentPresetTimestamp(
+      await this._request("POST", `/library/presets/setup-trigger`, params),
+    );
+  }
+
+  async listLibraryAgentPresets(params?: {
+    graph_id?: GraphID;
+    page?: number;
+    page_size?: number;
+  }): Promise<LibraryAgentPresetResponse> {
+    const response: LibraryAgentPresetResponse = await this._get(
+      "/library/presets",
+      params,
+    );
+    return {
+      ...response,
+      presets: response.presets.map(parseLibraryAgentPresetTimestamp),
+    };
+  }
+
+  async getLibraryAgentPreset(
+    presetID: LibraryAgentPresetID,
+  ): Promise<LibraryAgentPreset> {
+    const preset = await this._get(`/library/presets/${presetID}`);
+    return parseLibraryAgentPresetTimestamp(preset);
+  }
+
+  async createLibraryAgentPreset(
+    params:
+      | LibraryAgentPresetCreatable
+      | LibraryAgentPresetCreatableFromGraphExecution,
+  ): Promise<LibraryAgentPreset> {
+    const new_preset = await this._request("POST", "/library/presets", params);
+    return parseLibraryAgentPresetTimestamp(new_preset);
+  }
+
+  async updateLibraryAgentPreset(
+    presetID: LibraryAgentPresetID,
+    partial_preset: LibraryAgentPresetUpdatable,
+  ): Promise<LibraryAgentPreset> {
+    const updated_preset = await this._request(
+      "PATCH",
+      `/library/presets/${presetID}`,
+      partial_preset,
+    );
+    return parseLibraryAgentPresetTimestamp(updated_preset);
+  }
+
+  async deleteLibraryAgentPreset(
+    presetID: LibraryAgentPresetID,
+  ): Promise<void> {
+    await this._request("DELETE", `/library/presets/${presetID}`);
+  }
+
+  executeLibraryAgentPreset(
+    presetID: LibraryAgentPresetID,
+    inputs?: { [key: string]: any },
+  ): Promise<{ id: GraphExecutionID }> {
+    return this._request("POST", `/library/presets/${presetID}/execute`, {
+      inputs,
+    });
+  }
+
+  //////////////////////////////////
+  /////////// SCHEDULES ////////////
+  //////////////////////////////////
+
+  async createGraphExecutionSchedule(
+    params: ScheduleCreatable,
+  ): Promise<Schedule> {
+    return this._request(
+      "POST",
+      `/graphs/${params.graph_id}/schedules`,
+      params,
+    ).then(parseScheduleTimestamp);
+  }
+
+  async listGraphExecutionSchedules(graphID: GraphID): Promise<Schedule[]> {
+    return this._get(`/graphs/${graphID}/schedules`).then((schedules) =>
+      schedules.map(parseScheduleTimestamp),
+    );
+  }
+
+  /** @deprecated only used in legacy `Monitor` */
+  async listAllGraphsExecutionSchedules(): Promise<Schedule[]> {
+    return this._get(`/schedules`).then((schedules) =>
+      schedules.map(parseScheduleTimestamp),
+    );
+  }
+
+  async deleteGraphExecutionSchedule(
+    scheduleID: ScheduleID,
+  ): Promise<{ id: ScheduleID }> {
+    return this._request("DELETE", `/schedules/${scheduleID}`);
+  }
+
+  //////////////////////////////////
+  ////////////// OTTO //////////////
+  //////////////////////////////////
+
+  async askOtto(query: OttoQuery): Promise<OttoResponse> {
+    return this._request("POST", "/otto/ask", query);
+  }
+
+  ////////////////////////////////////////
+  ////////// INTERNAL FUNCTIONS //////////
+  ////////////////////////////////////////
+
+  private _get(path: string, query?: Record<string, any>) {
+    return this._request("GET", path, query);
+  }
+
+  private async getAuthToken(): Promise<string> {
+    // Only try client-side session (for WebSocket connections)
+    // This will return "no-token-found" with httpOnly cookies, which is expected
+    const supabaseClient = await this.getSupabaseClient();
+    const {
+      data: { session },
+    } = (await supabaseClient?.auth.getSession()) || {
+      data: { session: null },
+    };
+
+    return session?.access_token || "no-token-found";
   }
 
   private async _uploadFile(path: string, file: File): Promise<string> {
-    // Get session with retry logic
-    let token = "no-token-found";
-    let retryCount = 0;
-    const maxRetries = 3;
-
-    while (retryCount < maxRetries) {
-      const {
-        data: { session },
-      } = (await this.supabaseClient?.auth.getSession()) || {
-        data: { session: null },
-      };
-
-      if (session?.access_token) {
-        token = session.access_token;
-        break;
-      }
+    const formData = new FormData();
+    formData.append("file", file);
 
-      retryCount++;
-      if (retryCount < maxRetries) {
-        await new Promise((resolve) => setTimeout(resolve, 100 * retryCount));
-      }
+    if (isClient) {
+      return this._makeClientFileUpload(path, formData);
+    } else {
+      return this._makeServerFileUpload(path, formData);
     }
+  }
 
-    // Create a FormData object and append the file
+  private async _uploadFileWithProgress(
+    path: string,
+    file: File,
+    params?: Record<string, any>,
+    onProgress?: (progress: number) => void,
+  ): Promise<string> {
     const formData = new FormData();
     formData.append("file", file);
 
-    const response = await fetch(this.baseUrl + path, {
+    if (isClient) {
+      return this._makeClientFileUploadWithProgress(
+        path,
+        formData,
+        params,
+        onProgress,
+      );
+    } else {
+      return this._makeServerFileUploadWithProgress(path, formData, params);
+    }
+  }
+
+  private async _makeClientFileUpload(
+    path: string,
+    formData: FormData,
+  ): Promise<string> {
+    // Dynamic import is required even for client-only functions because helpers.ts
+    // has server-only imports (like getServerSupabase) at the top level. Static imports
+    // would bundle server-only code into the client bundle, causing runtime errors.
+    const { buildClientUrl, handleFetchError } = await import("./helpers");
+
+    const uploadUrl = buildClientUrl(path);
+
+    const response = await fetch(uploadUrl, {
       method: "POST",
-      headers: {
-        ...(token && { Authorization: `Bearer ${token}` }),
-      },
       body: formData,
+      credentials: "include",
     });
 
     if (!response.ok) {
-      throw new Error(`Error uploading file: ${response.statusText}`);
+      throw await handleFetchError(response);
     }
 
-    // Parse the response appropriately
-    const media_url = await response.text();
-    return media_url;
+    return await response.json();
+  }
+
+  private async _makeServerFileUpload(
+    path: string,
+    formData: FormData,
+  ): Promise<string> {
+    const { makeAuthenticatedFileUpload, buildServerUrl } = await import(
+      "./helpers"
+    );
+    const url = buildServerUrl(path);
+    return await makeAuthenticatedFileUpload(url, formData);
+  }
+
+  private async _makeClientFileUploadWithProgress(
+    path: string,
+    formData: FormData,
+    params?: Record<string, any>,
+    onProgress?: (progress: number) => void,
+  ): Promise<any> {
+    const { buildClientUrl, buildUrlWithQuery } = await import("./helpers");
+
+    let url = buildClientUrl(path);
+    if (params) {
+      url = buildUrlWithQuery(url, params);
+    }
+
+    return new Promise((resolve, reject) => {
+      const xhr = new XMLHttpRequest();
+
+      if (onProgress) {
+        xhr.upload.addEventListener("progress", (e) => {
+          if (e.lengthComputable) {
+            const progress = (e.loaded / e.total) * 100;
+            onProgress(progress);
+          }
+        });
+      }
+
+      xhr.addEventListener("load", () => {
+        if (xhr.status >= 200 && xhr.status < 300) {
+          try {
+            const response = JSON.parse(xhr.responseText);
+            resolve(response);
+          } catch (_error) {
+            reject(new Error("Invalid JSON response"));
+          }
+        } else {
+          reject(new Error(`HTTP ${xhr.status}: ${xhr.statusText}`));
+        }
+      });
+
+      xhr.addEventListener("error", () => {
+        reject(new Error("Network error"));
+      });
+
+      xhr.open("POST", url);
+      xhr.withCredentials = true;
+      xhr.send(formData);
+    });
+  }
+
+  private async _makeServerFileUploadWithProgress(
+    path: string,
+    formData: FormData,
+    params?: Record<string, any>,
+  ): Promise<string> {
+    const { makeAuthenticatedFileUpload, buildServerUrl, buildUrlWithQuery } =
+      await import("./helpers");
+
+    let url = buildServerUrl(path);
+    if (params) {
+      url = buildUrlWithQuery(url, params);
+    }
+
+    return await makeAuthenticatedFileUpload(url, formData);
   }
 
   private async _request(
     method: "GET" | "POST" | "PUT" | "PATCH" | "DELETE",
     path: string,
     payload?: Record<string, any>,
-    page?: string,
   ) {
     if (method !== "GET") {
       console.debug(`${method} ${path} payload:`, payload);
     }
 
-    // Get session with retry logic
-    let token = "no-token-found";
-    let retryCount = 0;
-    const maxRetries = 3;
-
-    while (retryCount < maxRetries) {
-      const {
-        data: { session },
-      } = (await this.supabaseClient?.auth.getSession()) || {
-        data: { session: null },
-      };
-
-      if (session?.access_token) {
-        token = session.access_token;
-        break;
-      }
-
-      retryCount++;
-      if (retryCount < maxRetries) {
-        await new Promise((resolve) => setTimeout(resolve, 100 * retryCount));
-      }
-    }
-    console.log("Request: ", method, path, "from: ", page);
-    if (token === "no-token-found") {
-      console.warn(
-        "No auth token found after retries. This may indicate a session sync issue between client and server.",
-      );
-      console.debug("Last session attempt:", retryCount);
+    if (isClient) {
+      return this._makeClientRequest(method, path, payload);
     } else {
-      console.log("Auth token found");
+      return this._makeServerRequest(method, path, payload);
     }
-    console.log("--------------------------------");
+  }
+
+  private async _makeClientRequest(
+    method: string,
+    path: string,
+    payload?: Record<string, any>,
+  ) {
+    // Dynamic import is required even for client-only functions because helpers.ts
+    // has server-only imports (like getServerSupabase) at the top level. Static imports
+    // would bundle server-only code into the client bundle, causing runtime errors.
+    const { buildClientUrl, buildUrlWithQuery, handleFetchError } =
+      await import("./helpers");
 
-    let url = this.baseUrl + path;
     const payloadAsQuery = ["GET", "DELETE"].includes(method);
+    let url = buildClientUrl(path);
+
     if (payloadAsQuery && payload) {
-      // For GET requests, use payload as query
-      const queryParams = new URLSearchParams(payload);
-      url += `?${queryParams.toString()}`;
+      url = buildUrlWithQuery(url, payload);
     }
 
-    const hasRequestBody = !payloadAsQuery && payload !== undefined;
     const response = await fetch(url, {
       method,
       headers: {
-        ...(hasRequestBody && { "Content-Type": "application/json" }),
-        ...(token && { Authorization: `Bearer ${token}` }),
+        "Content-Type": "application/json",
       },
-      body: hasRequestBody ? JSON.stringify(payload) : undefined,
+      body: !payloadAsQuery && payload ? JSON.stringify(payload) : undefined,
+      credentials: "include",
     });
 
     if (!response.ok) {
-      console.warn(`${method} ${path} returned non-OK response:`, response);
-
-      // console.warn("baseClient is attempting to redirect by changing window location")
-      // if (
-      //   response.status === 403 &&
-      //   response.statusText === "Not authenticated" &&
-      //   typeof window !== "undefined" // Check if in browser environment
-      // ) {
-      //   window.location.href = "/login";
-      // }
-
-      let errorDetail;
-      try {
-        const errorData = await response.json();
-        errorDetail = errorData.detail || response.statusText;
-      } catch (e) {
-        errorDetail = response.statusText;
-      }
-
-      throw new Error(errorDetail);
+      throw await handleFetchError(response);
     }
 
-    // Handle responses with no content (like DELETE requests)
-    if (
-      response.status === 204 ||
-      response.headers.get("Content-Length") === "0"
-    ) {
-      return null;
-    }
+    return await response.json();
+  }
 
-    try {
-      return await response.json();
-    } catch (e) {
-      if (e instanceof SyntaxError) {
-        console.warn(`${method} ${path} returned invalid JSON:`, e);
-        return null;
-      }
-      throw e;
-    }
+  private async _makeServerRequest(
+    method: string,
+    path: string,
+    payload?: Record<string, any>,
+  ) {
+    const { makeAuthenticatedRequest, buildServerUrl } = await import(
+      "./helpers"
+    );
+    const url = buildServerUrl(path);
+    return await makeAuthenticatedRequest(method, url, payload);
   }
 
-  startHeartbeat() {
-    this.stopHeartbeat();
-    this.heartbeatInterval = window.setInterval(() => {
-      if (this.webSocket?.readyState === WebSocket.OPEN) {
-        this.webSocket.send(
-          JSON.stringify({
-            method: "heartbeat",
-            data: "ping",
-            success: true,
-          }),
-        );
+  ////////////////////////////////////////
+  ////////////// WEBSOCKETS //////////////
+  ////////////////////////////////////////
 
-        this.heartbeatTimeoutId = window.setTimeout(() => {
-          console.log("Heartbeat timeout - reconnecting");
-          this.webSocket?.close();
-          this.connectWebSocket();
-        }, this.HEARTBEAT_TIMEOUT);
-      }
-    }, this.HEARTBEAT_INTERVAL);
+  subscribeToGraphExecution(graphExecID: GraphExecutionID): Promise<void> {
+    return this.sendWebSocketMessage("subscribe_graph_execution", {
+      graph_exec_id: graphExecID,
+    });
+  }
+
+  subscribeToGraphExecutions(graphID: GraphID): Promise<void> {
+    return this.sendWebSocketMessage("subscribe_graph_executions", {
+      graph_id: graphID,
+    });
   }
 
-  stopHeartbeat() {
-    if (this.heartbeatInterval) {
-      clearInterval(this.heartbeatInterval);
-      this.heartbeatInterval = null;
+  async sendWebSocketMessage<M extends keyof WebsocketMessageTypeMap>(
+    method: M,
+    data: WebsocketMessageTypeMap[M],
+    callCount = 0,
+    callCountLimit = 4,
+  ): Promise<void> {
+    if (this.webSocket && this.webSocket.readyState === WebSocket.OPEN) {
+      this.webSocket.send(JSON.stringify({ method, data }));
+      return;
     }
-    if (this.heartbeatTimeoutId) {
-      clearTimeout(this.heartbeatTimeoutId);
-      this.heartbeatTimeoutId = null;
+    if (callCount >= callCountLimit) {
+      throw new Error(
+        `WebSocket connection not open after ${callCountLimit} attempts`,
+      );
+    }
+    await this.connectWebSocket();
+    if (callCount === 0) {
+      return this.sendWebSocketMessage(method, data, callCount + 1);
     }
+    const delayMs = 2 ** (callCount - 1) * 1000;
+    await new Promise((res) => setTimeout(res, delayMs));
+    return this.sendWebSocketMessage(method, data, callCount + 1);
   }
 
-  handleHeartbeatResponse() {
-    if (this.heartbeatTimeoutId) {
-      clearTimeout(this.heartbeatTimeoutId);
-      this.heartbeatTimeoutId = null;
-    }
+  onWebSocketMessage<M extends keyof WebsocketMessageTypeMap>(
+    method: M,
+    handler: (data: WebsocketMessageTypeMap[M]) => void,
+  ): () => void {
+    this.wsMessageHandlers[method] ??= new Set();
+    this.wsMessageHandlers[method].add(handler);
+
+    // Return detacher
+    return () => this.wsMessageHandlers[method].delete(handler);
+  }
+
+  /**
+   * All handlers are invoked when the WebSocket (re)connects. If it's already connected
+   * when this function is called, the passed handler is invoked immediately.
+   *
+   * Use this hook to subscribe to topics and refresh state,
+   * to ensure re-subscription and re-sync on re-connect.
+   *
+   * @returns a detacher for the passed handler.
+   */
+  onWebSocketConnect(handler: () => void): () => void {
+    this.wsOnConnectHandlers.add(handler);
+
+    this.connectWebSocket();
+    if (this.webSocket?.readyState == WebSocket.OPEN) handler();
+
+    // Return detacher
+    return () => this.wsOnConnectHandlers.delete(handler);
+  }
+
+  /**
+   * All handlers are invoked when the WebSocket disconnects.
+   *
+   * @returns a detacher for the passed handler.
+   */
+  onWebSocketDisconnect(handler: () => void): () => void {
+    this.wsOnDisconnectHandlers.add(handler);
+
+    // Return detacher
+    return () => this.wsOnDisconnectHandlers.delete(handler);
   }
 
   async connectWebSocket(): Promise<void> {
-    this.wsConnecting ??= new Promise(async (resolve, reject) => {
+    this.isIntentionallyDisconnected = false;
+    return (this.wsConnecting ??= new Promise(async (resolve, reject) => {
       try {
-        const token =
-          (await this.supabaseClient?.auth.getSession())?.data.session
-            ?.access_token || "";
+        let token = "";
+        try {
+          const { token: serverToken, error } = await getWebSocketToken();
+          if (serverToken && !error) {
+            token = serverToken;
+          } else if (error) {
+            console.warn("Failed to get WebSocket token from server:", error);
+          }
+        } catch (error) {
+          console.warn("Failed to get token for WebSocket connection:", error);
+          // Continue with empty token, connection might still work
+        }
+
         const wsUrlWithToken = `${this.wsUrl}?token=${token}`;
         this.webSocket = new WebSocket(wsUrlWithToken);
+        this.webSocket.state = "connecting";
 
         this.webSocket.onopen = () => {
-          console.log("WebSocket connection established");
-          this.startHeartbeat(); // Start heartbeat when connection opens
+          this.webSocket!.state = "connected";
+          console.info("[BackendAPI] WebSocket connected to", this.wsUrl);
+          this._startWSHeartbeat(); // Start heartbeat when connection opens
+          this._clearDisconnectIntent(); // Clear disconnect intent when connected
+          this.wsOnConnectHandlers.forEach((handler) => handler());
           resolve();
         };
 
         this.webSocket.onclose = (event) => {
-          console.log("WebSocket connection closed", event);
-          this.stopHeartbeat(); // Stop heartbeat when connection closes
-          this.webSocket = null;
-          // Attempt to reconnect after a delay
-          setTimeout(() => this.connectWebSocket(), 1000);
-        };
+          if (this.webSocket?.state == "connecting") {
+            console.error(
+              `[BackendAPI] WebSocket failed to connect: ${event.reason}`,
+              event,
+            );
+          } else if (this.webSocket?.state == "connected") {
+            console.warn(
+              `[BackendAPI] WebSocket connection closed: ${event.reason}`,
+              event,
+            );
+          }
+          this.webSocket!.state = "closed";
 
-        this.webSocket.onerror = (error) => {
-          console.error("WebSocket error:", error);
-          this.stopHeartbeat(); // Stop heartbeat on error
-          reject(error);
-        };
+          this._stopWSHeartbeat(); // Stop heartbeat when connection closes
+          this.wsConnecting = null;
 
-        this.webSocket.onmessage = (event) => {
-          const message: WebsocketMessage = JSON.parse(event.data);
+          const wasIntentional =
+            this.isIntentionallyDisconnected || this._hasDisconnectIntent();
 
-          // Handle heartbeat response
-          if (message.method === "heartbeat" && message.data === "pong") {
-            this.handleHeartbeatResponse();
-            return;
+          if (!wasIntentional) {
+            this.wsOnDisconnectHandlers.forEach((handler) => handler());
+            setTimeout(() => this.connectWebSocket().then(resolve), 1000);
           }
+        };
 
-          if (message.method === "execution_event") {
-            message.data = parseNodeExecutionResultTimestamps(message.data);
+        this.webSocket.onerror = (error) => {
+          if (this.webSocket?.state == "connected") {
+            console.error("[BackendAPI] WebSocket error:", error);
           }
-          this.wsMessageHandlers[message.method]?.forEach((handler) =>
-            handler(message.data),
-          );
         };
+        this.webSocket.onmessage = (event) => this._handleWSMessage(event);
       } catch (error) {
-        console.error("Error connecting to WebSocket:", error);
+        console.error("[BackendAPI] Error connecting to WebSocket:", error);
         reject(error);
       }
-    });
-    return this.wsConnecting;
+    }));
   }
 
   disconnectWebSocket() {
-    this.stopHeartbeat(); // Stop heartbeat when disconnecting
+    this.isIntentionallyDisconnected = true;
+    this._stopWSHeartbeat(); // Stop heartbeat when disconnecting
     if (this.webSocket && this.webSocket.readyState === WebSocket.OPEN) {
       this.webSocket.close();
     }
   }
 
-  sendWebSocketMessage<M extends keyof WebsocketMessageTypeMap>(
-    method: M,
-    data: WebsocketMessageTypeMap[M],
-    callCount = 0,
-  ) {
-    if (this.webSocket && this.webSocket.readyState === WebSocket.OPEN) {
-      this.webSocket.send(JSON.stringify({ method, data }));
-    } else {
-      this.connectWebSocket().then(() => {
-        callCount == 0
-          ? this.sendWebSocketMessage(method, data, callCount + 1)
-          : setTimeout(
-              () => {
-                this.sendWebSocketMessage(method, data, callCount + 1);
-              },
-              2 ** (callCount - 1) * 1000,
-            );
-      });
+  private _hasDisconnectIntent(): boolean {
+    if (!isClient) return false;
+
+    try {
+      return storage.get(Key.WEBSOCKET_DISCONNECT_INTENT) === "true";
+    } catch {
+      return false;
     }
   }
 
-  onWebSocketMessage<M extends keyof WebsocketMessageTypeMap>(
-    method: M,
-    handler: (data: WebsocketMessageTypeMap[M]) => void,
-  ): () => void {
-    this.wsMessageHandlers[method] ??= new Set();
-    this.wsMessageHandlers[method].add(handler);
+  private _clearDisconnectIntent(): void {
+    if (!isClient) return;
 
-    // Return detacher
-    return () => this.wsMessageHandlers[method].delete(handler);
+    try {
+      storage.clean(Key.WEBSOCKET_DISCONNECT_INTENT);
+    } catch {
+      Sentry.captureException(
+        new Error("Failed to clear WebSocket disconnect intent"),
+      );
+    }
+  }
+
+  private _handleWSMessage(event: MessageEvent): void {
+    const message: WebsocketMessage = JSON.parse(event.data);
+
+    // Handle heartbeat response
+    if (message.method === "heartbeat" && message.data === "pong") {
+      this._handleWSHeartbeatResponse();
+      return;
+    }
+
+    if (message.method === "node_execution_event") {
+      message.data = parseNodeExecutionResultTimestamps(message.data);
+    } else if (message.method == "graph_execution_event") {
+      message.data = parseGraphExecutionTimestamps(message.data);
+    }
+    this.wsMessageHandlers[message.method]?.forEach((handler) =>
+      handler(message.data),
+    );
+  }
+
+  private _startWSHeartbeat() {
+    this._stopWSHeartbeat();
+    this.heartbeatIntervalID = window.setInterval(() => {
+      if (this.webSocket?.readyState === WebSocket.OPEN) {
+        this.webSocket.send(
+          JSON.stringify({
+            method: "heartbeat",
+            data: "ping",
+            success: true,
+          }),
+        );
+
+        this.heartbeatTimeoutID = window.setTimeout(() => {
+          console.warn("Heartbeat timeout - reconnecting");
+          this.webSocket?.close();
+          this.connectWebSocket();
+        }, this.HEARTBEAT_TIMEOUT);
+      }
+    }, this.HEARTBEAT_INTERVAL);
+  }
+
+  private _stopWSHeartbeat() {
+    if (this.heartbeatIntervalID) {
+      clearInterval(this.heartbeatIntervalID);
+      this.heartbeatIntervalID = null;
+    }
+    if (this.heartbeatTimeoutID) {
+      clearTimeout(this.heartbeatTimeoutID);
+      this.heartbeatTimeoutID = null;
+    }
   }
 
-  subscribeToExecution(graphId: string) {
-    this.sendWebSocketMessage("subscribe", { graph_id: graphId });
+  private _handleWSHeartbeatResponse() {
+    if (this.heartbeatTimeoutID) {
+      clearTimeout(this.heartbeatTimeoutID);
+      this.heartbeatTimeoutID = null;
+    }
+  }
+}
+
+declare global {
+  interface WebSocket {
+    state: "connecting" | "connected" | "closed";
   }
 }
 
@@ -656,8 +1287,10 @@ type GraphCreateRequestBody = {
 };
 
 type WebsocketMessageTypeMap = {
-  subscribe: { graph_id: string };
-  execution_event: NodeExecutionResult;
+  subscribe_graph_execution: { graph_exec_id: GraphExecutionID };
+  subscribe_graph_executions: { graph_id: GraphID };
+  graph_execution_event: GraphExecution;
+  node_execution_event: NodeExecutionResult;
   heartbeat: "ping" | "pong";
 };
 
@@ -668,14 +1301,48 @@ type WebsocketMessage = {
   };
 }[keyof WebsocketMessageTypeMap];
 
+type _PydanticValidationError = {
+  type: string;
+  loc: string[];
+  msg: string;
+  input: any;
+};
+
 /* *** HELPER FUNCTIONS *** */
 
+function parseGraphExecutionTimestamps<
+  T extends GraphExecutionMeta | GraphExecution,
+>(result: any): T {
+  const fixed = _parseObjectTimestamps<T>(result, ["started_at", "ended_at"]);
+  if ("node_executions" in fixed && fixed.node_executions) {
+    fixed.node_executions = fixed.node_executions.map(
+      parseNodeExecutionResultTimestamps,
+    );
+  }
+  return fixed;
+}
+
 function parseNodeExecutionResultTimestamps(result: any): NodeExecutionResult {
-  return {
-    ...result,
-    add_time: new Date(result.add_time),
-    queue_time: result.queue_time ? new Date(result.queue_time) : undefined,
-    start_time: result.start_time ? new Date(result.start_time) : undefined,
-    end_time: result.end_time ? new Date(result.end_time) : undefined,
-  };
+  return _parseObjectTimestamps<NodeExecutionResult>(result, [
+    "add_time",
+    "queue_time",
+    "start_time",
+    "end_time",
+  ]);
+}
+
+function parseScheduleTimestamp(result: any): Schedule {
+  return _parseObjectTimestamps<Schedule>(result, ["next_run_time"]);
+}
+
+function parseLibraryAgentPresetTimestamp(result: any): LibraryAgentPreset {
+  return _parseObjectTimestamps<LibraryAgentPreset>(result, ["updated_at"]);
+}
+
+function _parseObjectTimestamps<T>(obj: any, keys: (keyof T)[]): T {
+  const result = { ...obj };
+  keys.forEach(
+    (key) => (result[key] = result[key] ? new Date(result[key]) : undefined),
+  );
+  return result;
 }
diff --git a/autogpt_platform/frontend/src/lib/autogpt-server-api/context.tsx b/autogpt_platform/frontend/src/lib/autogpt-server-api/context.tsx
index 05b2c22070a9..21bff08454af 100644
--- a/autogpt_platform/frontend/src/lib/autogpt-server-api/context.tsx
+++ b/autogpt_platform/frontend/src/lib/autogpt-server-api/context.tsx
@@ -1,6 +1,16 @@
+"use client";
+
+import { isServerSide } from "../utils/is-server-side";
 import BackendAPI from "./client";
 import React, { createContext, useMemo } from "react";
 
+// Add window.api type declaration for global access
+declare global {
+  interface Window {
+    api?: BackendAPI;
+  }
+}
+
 const BackendAPIProviderContext = createContext<BackendAPI | null>(null);
 
 export function BackendAPIProvider({
@@ -10,6 +20,10 @@ export function BackendAPIProvider({
 }): React.ReactNode {
   const api = useMemo(() => new BackendAPI(), []);
 
+  if (process.env.NEXT_PUBLIC_BEHAVE_AS == "LOCAL" && !isServerSide()) {
+    window.api = api; // Expose the API globally for debugging purposes
+  }
+
   return (
     <BackendAPIProviderContext.Provider value={api}>
       {children}
diff --git a/autogpt_platform/frontend/src/lib/autogpt-server-api/helpers.ts b/autogpt_platform/frontend/src/lib/autogpt-server-api/helpers.ts
new file mode 100644
index 000000000000..56a41f135bbf
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/autogpt-server-api/helpers.ts
@@ -0,0 +1,322 @@
+import { getServerSupabase } from "@/lib/supabase/server/getServerSupabase";
+import { Key, storage } from "@/services/storage/local-storage";
+import { getAgptServerApiUrl } from "@/lib/env-config";
+import { isServerSide } from "../utils/is-server-side";
+
+import { GraphValidationErrorResponse } from "./types";
+
+export class ApiError<R = any> extends Error {
+  public status: number;
+  public response: R;
+
+  constructor(message: string, status: number, response: R) {
+    super(message);
+    this.name = "ApiError";
+    this.status = status;
+    this.response = response;
+  }
+
+  /**
+   * Type guard to check if this error is a structured graph validation error
+   */
+  isGraphValidationError(): this is ApiError<GraphValidationErrorResponse> {
+    return (
+      this.response !== undefined &&
+      typeof this.response === "object" &&
+      this.response !== null &&
+      "detail" in this.response &&
+      typeof this.response.detail === "object" &&
+      this.response.detail !== null &&
+      "type" in this.response.detail &&
+      this.response.detail.type === "validation_error" &&
+      "node_errors" in this.response.detail &&
+      typeof this.response.detail.node_errors === "object"
+    );
+  }
+}
+
+export function buildRequestUrl(
+  baseUrl: string,
+  path: string,
+  method: string,
+  payload?: Record<string, any>,
+): string {
+  let url = baseUrl + path;
+  const payloadAsQuery = ["GET", "DELETE"].includes(method);
+
+  if (payloadAsQuery && payload) {
+    const queryParams = new URLSearchParams(payload);
+    url += `?${queryParams.toString()}`;
+  }
+
+  return url;
+}
+
+export function buildClientUrl(path: string): string {
+  return `/api/proxy/api${path}`;
+}
+
+export function buildServerUrl(path: string): string {
+  return `${getAgptServerApiUrl()}${path}`;
+}
+
+export function buildUrlWithQuery(
+  url: string,
+  payload?: Record<string, any>,
+): string {
+  if (!payload) return url;
+
+  const queryParams = new URLSearchParams(payload);
+  return `${url}?${queryParams.toString()}`;
+}
+
+export async function handleFetchError(response: Response): Promise<ApiError> {
+  const errorMessage = await parseApiError(response);
+  return new ApiError(
+    errorMessage || "Request failed",
+    response.status,
+    await response.json(),
+  );
+}
+
+export async function getServerAuthToken(): Promise<string> {
+  const supabase = await getServerSupabase();
+
+  if (!supabase) {
+    throw new Error("Supabase client not available");
+  }
+
+  try {
+    const {
+      data: { session },
+      error,
+    } = await supabase.auth.getSession();
+
+    if (error || !session || !session.access_token) {
+      return "no-token-found";
+    }
+
+    return session.access_token;
+  } catch (error) {
+    console.error("Failed to get auth token:", error);
+    return "no-token-found";
+  }
+}
+
+export function createRequestHeaders(
+  token: string,
+  hasRequestBody: boolean,
+  contentType: string = "application/json",
+): Record<string, string> {
+  const headers: Record<string, string> = {};
+
+  if (hasRequestBody) {
+    headers["Content-Type"] = contentType;
+  }
+
+  if (token && token !== "no-token-found") {
+    headers["Authorization"] = `Bearer ${token}`;
+  }
+
+  return headers;
+}
+
+export function serializeRequestBody(
+  payload: any,
+  contentType: string = "application/json",
+): string {
+  switch (contentType) {
+    case "application/json":
+      return JSON.stringify(payload);
+    case "application/x-www-form-urlencoded":
+      return new URLSearchParams(payload).toString();
+    default:
+      // For custom content types, assume payload is already properly formatted
+      return typeof payload === "string" ? payload : JSON.stringify(payload);
+  }
+}
+
+export async function parseApiError(response: Response): Promise<string> {
+  try {
+    const errorData = await response.clone().json();
+
+    if (
+      Array.isArray(errorData.detail) &&
+      errorData.detail.length > 0 &&
+      errorData.detail[0].loc
+    ) {
+      // Pydantic validation error
+      const errors = errorData.detail.map((err: any) => {
+        const location = err.loc.join(" -> ");
+        return `${location}: ${err.msg}`;
+      });
+      return errors.join("\n");
+    }
+
+    if (typeof errorData.detail === "object" && errorData.detail !== null) {
+      if (errorData.detail.message) return errorData.detail.message;
+      return response.statusText; // Fallback to status text if no message
+    }
+
+    return errorData.detail || errorData.error || response.statusText;
+  } catch {
+    return response.statusText;
+  }
+}
+
+export async function parseApiResponse(response: Response): Promise<any> {
+  // Handle responses with no content
+  if (
+    response.status === 204 ||
+    response.headers.get("Content-Length") === "0"
+  ) {
+    return null;
+  }
+
+  try {
+    return await response.json();
+  } catch (e) {
+    if (e instanceof SyntaxError) {
+      return null;
+    }
+    throw e;
+  }
+}
+
+function isAuthenticationError(
+  response: Response,
+  errorDetail: string,
+): boolean {
+  return (
+    response.status === 401 ||
+    response.status === 403 ||
+    errorDetail.toLowerCase().includes("not authenticated") ||
+    errorDetail.toLowerCase().includes("unauthorized") ||
+    errorDetail.toLowerCase().includes("authentication failed")
+  );
+}
+
+function isLogoutInProgress(): boolean {
+  if (isServerSide()) return false;
+
+  try {
+    // Check if logout was recently triggered
+    const logoutTimestamp = storage.get(Key.LOGOUT);
+    if (logoutTimestamp) {
+      const timeDiff = Date.now() - parseInt(logoutTimestamp);
+      // Consider logout in progress for 5 seconds after trigger
+      return timeDiff < 5000;
+    }
+
+    // Check if we're being redirected to login
+    return (
+      window.location.pathname.includes("/login") ||
+      window.location.pathname.includes("/logout")
+    );
+  } catch {
+    return false;
+  }
+}
+
+export async function makeAuthenticatedRequest(
+  method: string,
+  url: string,
+  payload?: Record<string, any>,
+  contentType: string = "application/json",
+): Promise<any> {
+  const token = await getServerAuthToken();
+  const payloadAsQuery = ["GET", "DELETE"].includes(method);
+  const hasRequestBody = !payloadAsQuery && payload !== undefined;
+
+  // Add query parameters for GET/DELETE requests
+  let requestUrl = url;
+  if (payloadAsQuery && payload) {
+    requestUrl = buildUrlWithQuery(url, payload);
+  }
+
+  const response = await fetch(requestUrl, {
+    method,
+    headers: createRequestHeaders(token, hasRequestBody, contentType),
+    body: hasRequestBody
+      ? serializeRequestBody(payload, contentType)
+      : undefined,
+  });
+
+  if (!response.ok) {
+    const errorDetail = await parseApiError(response);
+
+    // Try to parse the full response body for better error context
+    let responseData = null;
+    try {
+      responseData = await response.clone().json();
+    } catch {
+      // Ignore parsing errors
+    }
+
+    // Handle authentication errors gracefully during logout
+    if (isAuthenticationError(response, errorDetail)) {
+      if (isLogoutInProgress()) {
+        // Silently return null during logout to prevent error noise
+        console.debug(
+          "Authentication request failed during logout, ignoring:",
+          errorDetail,
+        );
+      }
+    }
+
+    // For other errors, throw ApiError with proper status code
+    throw new ApiError(errorDetail, response.status, responseData);
+  }
+
+  return parseApiResponse(response);
+}
+
+export async function makeAuthenticatedFileUpload(
+  url: string,
+  formData: FormData,
+): Promise<string> {
+  const token = await getServerAuthToken();
+
+  const headers: Record<string, string> = {};
+  if (token && token !== "no-token-found") {
+    headers["Authorization"] = `Bearer ${token}`;
+  }
+
+  // Don't set Content-Type for FormData - let the browser set it with boundary
+  const response = await fetch(url, {
+    method: "POST",
+    headers,
+    body: formData,
+  });
+
+  if (!response.ok) {
+    // Handle authentication errors gracefully for file uploads too
+    const errorMessage = `Error uploading file: ${response.statusText}`;
+
+    // Try to parse error response
+    let responseData = null;
+    try {
+      const responseText = await response.clone().text();
+      if (responseText) {
+        responseData = JSON.parse(responseText);
+      }
+    } catch {
+      // Ignore parsing errors
+    }
+
+    if (response.status === 401 || response.status === 403) {
+      if (isLogoutInProgress()) {
+        console.debug(
+          "File upload authentication failed during logout, ignoring",
+        );
+        return "";
+      }
+      console.warn("File upload authentication failed:", errorMessage);
+      return "";
+    }
+
+    throw new ApiError(errorMessage, response.status, responseData);
+  }
+
+  return await response.json();
+}
diff --git a/autogpt_platform/frontend/src/lib/autogpt-server-api/index.ts b/autogpt_platform/frontend/src/lib/autogpt-server-api/index.ts
index d25d101d2767..c9d068367ef0 100644
--- a/autogpt_platform/frontend/src/lib/autogpt-server-api/index.ts
+++ b/autogpt_platform/frontend/src/lib/autogpt-server-api/index.ts
@@ -4,3 +4,4 @@ export default BackendAPI;
 export * from "./client";
 export * from "./types";
 export * from "./utils";
+export { ApiError } from "./helpers";
diff --git a/autogpt_platform/frontend/src/lib/autogpt-server-api/types.ts b/autogpt_platform/frontend/src/lib/autogpt-server-api/types.ts
index 8a57a73fcd2b..1d7f21cce0fa 100644
--- a/autogpt_platform/frontend/src/lib/autogpt-server-api/types.ts
+++ b/autogpt_platform/frontend/src/lib/autogpt-server-api/types.ts
@@ -1,3 +1,15 @@
+export enum SubmissionStatus {
+  DRAFT = "DRAFT",
+  PENDING = "PENDING",
+  APPROVED = "APPROVED",
+  REJECTED = "REJECTED",
+}
+export type ReviewSubmissionRequest = {
+  store_listing_version_id: string;
+  is_approved: boolean;
+  comments: string; // External comments visible to creator
+  internal_comments?: string; // Admin-only comments
+};
 export type Category = {
   category: string;
   description: string;
@@ -12,7 +24,7 @@ export enum BlockCostType {
 export type BlockCost = {
   cost_amount: number;
   cost_type: BlockCostType;
-  cost_filter: { [key: string]: any };
+  cost_filter: Record<string, any>;
 };
 
 /* Mirror of backend/data/block.py:Block */
@@ -25,14 +37,12 @@ export type Block = {
   outputSchema: BlockIORootSchema;
   staticOutput: boolean;
   uiType: BlockUIType;
-  uiKey?: string;
   costs: BlockCost[];
-  hardcodedValues: { [key: string]: any } | null;
 };
 
 export type BlockIORootSchema = {
   type: "object";
-  properties: { [key: string]: BlockIOSubSchema };
+  properties: Record<string, BlockIOSubSchema>;
   required?: (keyof BlockIORootSchema["properties"])[];
   additionalProperties?: { type: string };
 };
@@ -41,7 +51,9 @@ export type BlockIOSubSchema =
   | BlockIOSimpleTypeSubSchema
   | BlockIOCombinedTypeSubSchema;
 
-type BlockIOSimpleTypeSubSchema =
+export type BlockIOSubType = BlockIOSimpleTypeSubSchema["type"];
+
+export type BlockIOSimpleTypeSubSchema =
   | BlockIOObjectSubSchema
   | BlockIOCredentialsSubSchema
   | BlockIOKVSubSchema
@@ -51,6 +63,23 @@ type BlockIOSimpleTypeSubSchema =
   | BlockIOBooleanSubSchema
   | BlockIONullSubSchema;
 
+export enum DataType {
+  SHORT_TEXT = "short-text",
+  LONG_TEXT = "long-text",
+  NUMBER = "number",
+  DATE = "date",
+  TIME = "time",
+  DATE_TIME = "date-time",
+  FILE = "file",
+  SELECT = "select",
+  MULTI_SELECT = "multi-select",
+  BOOLEAN = "boolean",
+  CREDENTIALS = "credentials",
+  OBJECT = "object",
+  KEY_VALUE = "key-value",
+  ARRAY = "array",
+}
+
 export type BlockIOSubSchemaMeta = {
   title?: string;
   description?: string;
@@ -62,116 +91,142 @@ export type BlockIOSubSchemaMeta = {
 
 export type BlockIOObjectSubSchema = BlockIOSubSchemaMeta & {
   type: "object";
-  properties: { [key: string]: BlockIOSubSchema };
-  default?: { [key: keyof BlockIOObjectSubSchema["properties"]]: any };
+  properties: Record<string, BlockIOSubSchema>;
+  const?: Record<keyof BlockIOObjectSubSchema["properties"], any>;
+  default?: Record<keyof BlockIOObjectSubSchema["properties"], any>;
   required?: (keyof BlockIOObjectSubSchema["properties"])[];
+  secret?: boolean;
 };
 
 export type BlockIOKVSubSchema = BlockIOSubSchemaMeta & {
   type: "object";
-  additionalProperties: { type: "string" | "number" | "integer" };
-  default?: { [key: string]: string | number };
+  additionalProperties?: { type: "string" | "number" | "integer" };
+  const?: Record<string, string | number>;
+  default?: Record<string, string | number>;
+  secret?: boolean;
 };
 
 export type BlockIOArraySubSchema = BlockIOSubSchemaMeta & {
   type: "array";
   items?: BlockIOSimpleTypeSubSchema;
+  const?: Array<string>;
   default?: Array<string>;
+  secret?: boolean;
 };
 
 export type BlockIOStringSubSchema = BlockIOSubSchemaMeta & {
   type: "string";
   enum?: string[];
   secret?: true;
+  const?: string;
   default?: string;
   format?: string;
+  maxLength?: number;
 };
 
 export type BlockIONumberSubSchema = BlockIOSubSchemaMeta & {
   type: "integer" | "number";
+  const?: number;
   default?: number;
+  secret?: boolean;
 };
 
 export type BlockIOBooleanSubSchema = BlockIOSubSchemaMeta & {
   type: "boolean";
+  const?: boolean;
   default?: boolean;
+  secret?: boolean;
 };
 
-export type CredentialsType = "api_key" | "oauth2";
+export type CredentialsType =
+  | "api_key"
+  | "oauth2"
+  | "user_password"
+  | "host_scoped";
+
+export type Credentials =
+  | APIKeyCredentials
+  | OAuth2Credentials
+  | UserPasswordCredentials
+  | HostScopedCredentials;
 
 // --8<-- [start:BlockIOCredentialsSubSchema]
-export const PROVIDER_NAMES = {
-  ANTHROPIC: "anthropic",
-  D_ID: "d_id",
-  DISCORD: "discord",
-  E2B: "e2b",
-  GITHUB: "github",
-  GOOGLE: "google",
-  GOOGLE_MAPS: "google_maps",
-  GROQ: "groq",
-  IDEOGRAM: "ideogram",
-  JINA: "jina",
-  MEDIUM: "medium",
-  NOTION: "notion",
-  OLLAMA: "ollama",
-  OPENAI: "openai",
-  OPENWEATHERMAP: "openweathermap",
-  OPEN_ROUTER: "open_router",
-  PINECONE: "pinecone",
-  SLANT3D: "slant3d",
-  REPLICATE: "replicate",
-  FAL: "fal",
-  REVID: "revid",
-  UNREAL_SPEECH: "unreal_speech",
-  EXA: "exa",
-  HUBSPOT: "hubspot",
-} as const;
-// --8<-- [end:BlockIOCredentialsSubSchema]
+// Provider names are now dynamic and fetched from the API
+// This allows for SDK-registered providers without hardcoding
+export type CredentialsProviderName = string;
 
-export type CredentialsProviderName =
-  (typeof PROVIDER_NAMES)[keyof typeof PROVIDER_NAMES];
+// For backward compatibility, we'll keep PROVIDER_NAMES but it should be
+// populated dynamically from the API. This is a placeholder that will be
+// replaced with actual values from the /api/integrations/providers endpoint
+export const PROVIDER_NAMES = {} as Record<string, string>;
+// --8<-- [end:BlockIOCredentialsSubSchema]
 
-export type BlockIOCredentialsSubSchema = BlockIOSubSchemaMeta & {
+export type BlockIOCredentialsSubSchema = BlockIOObjectSubSchema & {
   /* Mirror of backend/data/model.py:CredentialsFieldSchemaExtra */
   credentials_provider: CredentialsProviderName[];
   credentials_scopes?: string[];
   credentials_types: Array<CredentialsType>;
   discriminator?: string;
-  discriminator_mapping?: { [key: string]: CredentialsProviderName };
+  discriminator_mapping?: Record<string, CredentialsProviderName>;
+  discriminator_values?: any[];
+  secret?: boolean;
 };
 
 export type BlockIONullSubSchema = BlockIOSubSchemaMeta & {
   type: "null";
+  const?: null;
+  secret?: boolean;
 };
 
 // At the time of writing, combined schemas only occur on the first nested level in a
 // block schema. It is typed this way to make the use of these objects less tedious.
-type BlockIOCombinedTypeSubSchema = BlockIOSubSchemaMeta &
-  (
+type BlockIOCombinedTypeSubSchema = BlockIOSubSchemaMeta & {
+  type: never;
+  const: never;
+} & (
     | {
         allOf: [BlockIOSimpleTypeSubSchema];
+        secret?: boolean;
       }
     | {
         anyOf: BlockIOSimpleTypeSubSchema[];
         default?: string | number | boolean | null;
+        secret?: boolean;
       }
-    | {
-        oneOf: BlockIOSimpleTypeSubSchema[];
-        default?: string | number | boolean | null;
-      }
+    | BlockIOOneOfSubSchema
+    | BlockIODiscriminatedOneOfSubSchema
   );
 
-/* Mirror of backend/data/graph.py:Node */
-export type Node = {
+export type BlockIOOneOfSubSchema = {
+  oneOf: BlockIOSimpleTypeSubSchema[];
+  default?: string | number | boolean | null;
+  secret?: boolean;
+};
+
+export type BlockIODiscriminatedOneOfSubSchema = {
+  oneOf: BlockIOObjectSubSchema[];
+  discriminator: {
+    propertyName: string;
+    mapping: Record<string, BlockIOObjectSubSchema>;
+  };
+  default?: Record<string, any>;
+  secret?: boolean;
+};
+
+export type NodeCreatable = {
   id: string;
   block_id: string;
-  input_default: { [key: string]: any };
-  input_nodes: Array<{ name: string; node_id: string }>;
-  output_nodes: Array<{ name: string; node_id: string }>;
+  input_default: Record<string, any>;
   metadata: {
     position: { x: number; y: number };
     [key: string]: any;
   };
+};
+
+/* Mirror of backend/data/graph.py:Node */
+export type Node = NodeCreatable & {
+  input_links: Link[];
+  output_links: Link[];
   webhook?: Webhook;
 };
 
@@ -189,72 +244,250 @@ export type LinkCreatable = Omit<Link, "id" | "is_static"> & {
   id?: string;
 };
 
-/* Mirror of backend/data/graph.py:GraphExecution */
-export type GraphExecution = {
-  execution_id: string;
-  started_at: number;
-  ended_at: number;
-  duration: number;
-  total_run_time: number;
-  status: "INCOMPLETE" | "QUEUED" | "RUNNING" | "COMPLETED" | "FAILED";
-  graph_id: string;
+/* Mirror of backend/data/execution.py:GraphExecutionMeta */
+export type GraphExecutionMeta = {
+  id: GraphExecutionID;
+  user_id: UserID;
+  graph_id: GraphID;
   graph_version: number;
+  preset_id: LibraryAgentPresetID | null;
+  status:
+    | "QUEUED"
+    | "RUNNING"
+    | "COMPLETED"
+    | "TERMINATED"
+    | "FAILED"
+    | "INCOMPLETE";
+  started_at: Date;
+  ended_at: Date;
+  stats: {
+    error: string | null;
+    cost: number;
+    duration: number;
+    duration_cpu_only: number;
+    node_exec_time: number;
+    node_exec_time_cpu_only: number;
+    node_exec_count: number;
+    activity_status: string | null;
+    [key: string]: any;
+  } | null;
 };
 
+export type GraphExecutionID = Brand<string, "GraphExecutionID">;
+
+/* Mirror of backend/data/execution.py:GraphExecution */
+export type GraphExecution = GraphExecutionMeta & {
+  inputs: Record<string, any>;
+  outputs: Record<string, Array<any>>;
+  node_executions?: NodeExecutionResult[];
+};
+
+export type GraphExecutionsResponse = {
+  executions: GraphExecutionMeta[];
+  pagination: Pagination;
+};
+
+/* Mirror of backend/data/graph.py:GraphMeta */
 export type GraphMeta = {
-  id: string;
+  id: GraphID;
+  user_id: UserID;
   version: number;
   is_active: boolean;
   name: string;
   description: string;
-  input_schema: BlockIOObjectSubSchema;
-  output_schema: BlockIOObjectSubSchema;
+  forked_from_id?: GraphID | null;
+  forked_from_version?: number | null;
+  input_schema: GraphIOSchema;
+  output_schema: GraphIOSchema;
+  has_external_trigger: boolean;
+  credentials_input_schema: CredentialsInputSchema;
+};
+
+export type GraphID = Brand<string, "GraphID">;
+
+/* Derived from backend/data/graph.py:Graph._generate_schema() */
+export type GraphIOSchema = {
+  type: "object";
+  properties: Record<string, GraphIOSubSchema>;
+  required: (keyof BlockIORootSchema["properties"])[];
+};
+export type GraphIOSubSchema = Omit<
+  BlockIOSubSchemaMeta,
+  "placeholder" | "depends_on" | "hidden"
+> & {
+  type: never; // bodge to avoid type checking hell; doesn't exist at runtime
+  default?: string;
+  secret: boolean;
+  metadata?: any;
+};
+
+export type CredentialsInputSchema = {
+  type: "object";
+  properties: Record<string, BlockIOCredentialsSubSchema>;
+  required: (keyof CredentialsInputSchema["properties"])[];
 };
 
 /* Mirror of backend/data/graph.py:Graph */
 export type Graph = GraphMeta & {
-  nodes: Array<Node>;
-  links: Array<Link>;
+  nodes: Node[];
+  links: Link[];
+  sub_graphs: Omit<Graph, "sub_graphs">[]; // Flattened sub-graphs
 };
 
 export type GraphUpdateable = Omit<
   Graph,
-  "version" | "is_active" | "links" | "input_schema" | "output_schema"
+  | "user_id"
+  | "version"
+  | "is_active"
+  | "nodes"
+  | "links"
+  | "sub_graphs"
+  | "input_schema"
+  | "output_schema"
+  | "credentials_input_schema"
+  | "has_external_trigger"
 > & {
   version?: number;
   is_active?: boolean;
-  links: Array<LinkCreatable>;
-  input_schema?: BlockIOObjectSubSchema;
-  output_schema?: BlockIOObjectSubSchema;
+  nodes: NodeCreatable[];
+  links: LinkCreatable[];
+  input_schema?: GraphIOSchema;
+  output_schema?: GraphIOSchema;
 };
 
-export type GraphCreatable = Omit<GraphUpdateable, "id"> & { id?: string };
-
-/* Derived from backend/executor/manager.py:ExecutionManager.add_execution */
-export type GraphExecuteResponse = {
-  /** ID of the initiated run */
-  id: string;
-  /** List of node executions */
-  executions: Array<{ id: string; node_id: string }>;
+export type GraphCreatable = _GraphCreatableInner & {
+  sub_graphs?: _GraphCreatableInner[]; // Flattened sub-graphs
 };
+type _GraphCreatableInner = Omit<GraphUpdateable, "id"> & { id?: string };
 
-/* Mirror of backend/data/execution.py:ExecutionResult */
+/* Mirror of backend/data/execution.py:NodeExecutionResult */
 export type NodeExecutionResult = {
-  graph_id: string;
+  graph_id: GraphID;
   graph_version: number;
-  graph_exec_id: string;
+  graph_exec_id: GraphExecutionID;
   node_exec_id: string;
   node_id: string;
   block_id: string;
-  status: "INCOMPLETE" | "QUEUED" | "RUNNING" | "COMPLETED" | "FAILED";
-  input_data: { [key: string]: any };
-  output_data: { [key: string]: Array<any> };
+  status:
+    | "INCOMPLETE"
+    | "QUEUED"
+    | "RUNNING"
+    | "COMPLETED"
+    | "TERMINATED"
+    | "FAILED";
+  input_data: Record<string, any>;
+  output_data: Record<string, Array<any>>;
   add_time: Date;
   queue_time?: Date;
   start_time?: Date;
   end_time?: Date;
 };
 
+/* Structured validation error types for graph execution */
+export type GraphValidationErrorResponse = {
+  detail: {
+    type: "validation_error";
+    message: string;
+    node_errors: Record<string, Record<string, string>>;
+  };
+};
+
+/* *** LIBRARY *** */
+
+/* Mirror of backend/server/v2/library/model.py:LibraryAgent */
+export type LibraryAgent = {
+  id: LibraryAgentID;
+  graph_id: GraphID;
+  graph_version: number;
+  image_url?: string;
+  creator_name: string;
+  creator_image_url: string;
+  status: AgentStatus;
+  updated_at: Date;
+  name: string;
+  description: string;
+  input_schema: GraphIOSchema;
+  output_schema: GraphIOSchema;
+  credentials_input_schema: CredentialsInputSchema;
+  new_output: boolean;
+  can_access_graph: boolean;
+  is_latest_version: boolean;
+} & (
+  | {
+      has_external_trigger: true;
+      trigger_setup_info: LibraryAgentTriggerInfo;
+    }
+  | {
+      has_external_trigger: false;
+      trigger_setup_info?: undefined;
+    }
+);
+
+export type LibraryAgentID = Brand<string, "LibraryAgentID">;
+
+export type LibraryAgentTriggerInfo = {
+  provider: CredentialsProviderName;
+  config_schema: BlockIORootSchema;
+  credentials_input_name?: string;
+};
+
+export enum AgentStatus {
+  COMPLETED = "COMPLETED",
+  HEALTHY = "HEALTHY",
+  WAITING = "WAITING",
+  ERROR = "ERROR",
+}
+
+export type LibraryAgentResponse = {
+  agents: LibraryAgent[];
+  pagination: Pagination;
+};
+
+export type LibraryAgentPreset = {
+  id: LibraryAgentPresetID;
+  updated_at: Date;
+  graph_id: GraphID;
+  graph_version: number;
+  inputs: Record<string, any>;
+  credentials: Record<string, CredentialsMetaInput>;
+  name: string;
+  description: string;
+  is_active: boolean;
+  webhook_id?: string;
+};
+
+export type LibraryAgentPresetID = Brand<string, "LibraryAgentPresetID">;
+
+export type LibraryAgentPresetResponse = {
+  presets: LibraryAgentPreset[];
+  pagination: Pagination;
+};
+
+export type LibraryAgentPresetCreatable = Omit<
+  LibraryAgentPreset,
+  "id" | "updated_at" | "is_active"
+> & {
+  is_active?: boolean;
+};
+
+export type LibraryAgentPresetCreatableFromGraphExecution = Omit<
+  LibraryAgentPresetCreatable,
+  "graph_id" | "graph_version" | "inputs"
+> & {
+  graph_execution_id: GraphExecutionID;
+};
+
+export type LibraryAgentPresetUpdatable = Partial<
+  Omit<LibraryAgentPresetCreatable, "graph_id" | "graph_version">
+>;
+
+export enum LibraryAgentSortEnum {
+  CREATED_AT = "createdAt",
+  UPDATED_AT = "updatedAt",
+}
+
+/* *** CREDENTIALS *** */
+
 /* Mirror of backend/server/integrations/router.py:CredentialsMetaResponse */
 export type CredentialsMetaResponse = {
   id: string;
@@ -263,6 +496,7 @@ export type CredentialsMetaResponse = {
   title?: string;
   scopes?: Array<string>;
   username?: string;
+  host?: string;
 };
 
 /* Mirror of backend/server/integrations/router.py:CredentialsDeletionResponse */
@@ -314,8 +548,49 @@ export type APIKeyCredentials = BaseCredentials & {
   expires_at?: number;
 };
 
+export type UserPasswordCredentials = BaseCredentials & {
+  type: "user_password";
+  title: string;
+  username: string;
+  password: string;
+};
+
+/* Mirror of backend/backend/data/model.py:HostScopedCredentials */
+export type HostScopedCredentials = BaseCredentials & {
+  type: "host_scoped";
+  title: string;
+  host: string;
+  headers: Record<string, string>;
+};
+
+// Mirror of backend/backend/data/notifications.py:NotificationType
+export type NotificationType =
+  | "AGENT_RUN"
+  | "ZERO_BALANCE"
+  | "LOW_BALANCE"
+  | "BLOCK_EXECUTION_FAILED"
+  | "CONTINUOUS_AGENT_ERROR"
+  | "DAILY_SUMMARY"
+  | "WEEKLY_SUMMARY"
+  | "MONTHLY_SUMMARY"
+  | "AGENT_APPROVED"
+  | "AGENT_REJECTED";
+
+// Mirror of backend/backend/data/notifications.py:NotificationPreference
+export type NotificationPreferenceDTO = {
+  email: string;
+  preferences: { [key in NotificationType]: boolean };
+  daily_limit: number;
+};
+
+export type NotificationPreference = NotificationPreferenceDTO & {
+  user_id: UserID;
+  emails_sent_today: number;
+  last_reset_date: Date;
+};
+
 /* Mirror of backend/data/integrations.py:Webhook */
-type Webhook = {
+export type Webhook = {
   id: string;
   url: string;
   provider: CredentialsProviderName;
@@ -329,10 +604,12 @@ type Webhook = {
 };
 
 export type User = {
-  id: string;
+  id: UserID;
   email: string;
 };
 
+export type UserID = Brand<string, "UserID">;
+
 export enum BlockUIType {
   STANDARD = "Standard",
   INPUT = "Input",
@@ -341,11 +618,13 @@ export enum BlockUIType {
   WEBHOOK = "Webhook",
   WEBHOOK_MANUAL = "Webhook (manual)",
   AGENT = "Agent",
+  AI = "AI",
+  AYRSHARE = "Ayrshare",
 }
 
 export enum SpecialBlockID {
   AGENT = "e189baac-8c20-45a1-94a7-55177ea42565",
-  INPUT = "c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
+  SMART_DECISION = "3b191d9f-356f-482d-8238-ba04b6d18381",
   OUTPUT = "363ae599-353e-4804-937e-b2ee3cef3da4",
 }
 
@@ -357,7 +636,7 @@ export type AnalyticsMetrics = {
 
 export type AnalyticsDetails = {
   type: string;
-  data: { [key: string]: any };
+  data: Record<string, any>;
   index: string;
 };
 
@@ -378,6 +657,7 @@ export type StoreAgent = {
   description: string;
   runs: number;
   rating: number;
+  updated_at: string;
 };
 
 export type StoreAgentsResponse = {
@@ -400,6 +680,11 @@ export type StoreAgentDetails = {
   runs: number;
   rating: number;
   versions: string[];
+
+  // Approval and status fields
+  active_version_id?: string;
+  has_approved_version?: boolean;
+  is_available?: boolean;
 };
 
 export type Creator = {
@@ -436,9 +721,19 @@ export type StoreSubmission = {
   description: string;
   image_urls: string[];
   date_submitted: string;
-  status: string;
+  status: SubmissionStatus;
   runs: number;
   rating: number;
+  slug: string;
+  store_listing_version_id?: string;
+  version?: number; // Actual version number from the database
+
+  // Review information
+  reviewer_id?: string;
+  review_comments?: string;
+  internal_comments?: string; // Admin-only comments
+  reviewed_at?: string;
+  changes_summary?: string;
 };
 
 export type StoreSubmissionsResponse = {
@@ -456,6 +751,7 @@ export type StoreSubmissionRequest = {
   image_urls: string[];
   description: string;
   categories: string[];
+  changes_summary?: string;
 };
 
 export type ProfileDetails = {
@@ -466,28 +762,38 @@ export type ProfileDetails = {
   avatar_url: string;
 };
 
+/* Mirror of backend/executor/scheduler.py:GraphExecutionJobInfo */
 export type Schedule = {
-  id: string;
+  id: ScheduleID;
   name: string;
   cron: string;
-  user_id: string;
-  graph_id: string;
+  user_id: UserID;
+  graph_id: GraphID;
   graph_version: number;
-  input_data: { [key: string]: any };
-  next_run_time: string;
+  input_data: Record<string, any>;
+  input_credentials: Record<string, CredentialsMetaInput>;
+  next_run_time: Date;
 };
 
+export type ScheduleID = Brand<string, "ScheduleID">;
+
+/* Mirror of backend/server/routers/v1.py:ScheduleCreationRequest */
 export type ScheduleCreatable = {
+  graph_id: GraphID;
+  graph_version: number;
+  name: string;
   cron: string;
-  graph_id: string;
-  input_data: { [key: string]: any };
+  inputs: Record<string, any>;
+  credentials?: Record<string, CredentialsMetaInput>;
 };
 
 export type MyAgent = {
-  agent_id: string;
+  agent_id: GraphID;
   agent_version: number;
   agent_name: string;
+  agent_image: string | null;
   last_edited: string;
+  description: string;
 };
 
 export type MyAgentsResponse = {
@@ -505,3 +811,326 @@ export type StoreReviewCreate = {
   score: number;
   comments?: string;
 };
+
+// API Key Types
+
+export enum APIKeyPermission {
+  EXECUTE_GRAPH = "EXECUTE_GRAPH",
+  READ_GRAPH = "READ_GRAPH",
+  EXECUTE_BLOCK = "EXECUTE_BLOCK",
+  READ_BLOCK = "READ_BLOCK",
+}
+
+export enum APIKeyStatus {
+  ACTIVE = "ACTIVE",
+  REVOKED = "REVOKED",
+  SUSPENDED = "SUSPENDED",
+}
+
+export interface APIKey {
+  id: string;
+  name: string;
+  prefix: string;
+  postfix: string;
+  status: APIKeyStatus;
+  permissions: APIKeyPermission[];
+  created_at: string;
+  last_used_at?: string;
+  revoked_at?: string;
+  description?: string;
+}
+
+export interface CreateAPIKeyResponse {
+  api_key: APIKey;
+  plain_text_key: string;
+}
+
+export interface CreditTransaction {
+  transaction_key: string;
+  transaction_time: Date;
+  transaction_type: CreditTransactionType;
+  amount: number;
+  running_balance: number;
+  current_balance: number;
+  description: string;
+  usage_graph_id: GraphID;
+  usage_execution_id: GraphExecutionID;
+  usage_node_count: number;
+  usage_starting_time: Date;
+  user_id: string;
+  user_email: string | null;
+  reason: string | null;
+  admin_email: string | null;
+  extra_data: string | null;
+}
+
+export interface TransactionHistory {
+  transactions: CreditTransaction[];
+  next_transaction_time: Date | null;
+}
+
+export interface RefundRequest {
+  id: string;
+  user_id: UserID;
+  transaction_key: string;
+  amount: number;
+  reason: string;
+  result: string | null;
+  status: string;
+  created_at: Date;
+  updated_at: Date;
+}
+
+export type OnboardingStep =
+  | "WELCOME"
+  | "USAGE_REASON"
+  | "INTEGRATIONS"
+  | "AGENT_CHOICE"
+  | "AGENT_NEW_RUN"
+  | "AGENT_INPUT"
+  | "CONGRATS"
+  | "GET_RESULTS"
+  | "RUN_AGENTS"
+  | "MARKETPLACE_VISIT"
+  | "MARKETPLACE_ADD_AGENT"
+  | "MARKETPLACE_RUN_AGENT"
+  | "BUILDER_OPEN"
+  | "BUILDER_SAVE_AGENT"
+  | "BUILDER_RUN_AGENT";
+
+export interface UserOnboarding {
+  completedSteps: OnboardingStep[];
+  notificationDot: boolean;
+  notified: OnboardingStep[];
+  rewardedFor: OnboardingStep[];
+  usageReason: string | null;
+  integrations: string[];
+  otherIntegrations: string | null;
+  selectedStoreListingVersionId: string | null;
+  agentInput: Record<string, string | number> | null;
+  onboardingAgentExecutionId: GraphExecutionID | null;
+  agentRuns: number;
+}
+
+/* *** UTILITIES *** */
+
+/** Use branded types for IDs -> deny mixing IDs between different object classes */
+export type Brand<T, Brand extends string> = T & {
+  readonly [B in Brand as `__${B}_brand`]: never;
+};
+
+export interface OttoDocument {
+  url: string;
+  relevance_score: number;
+}
+
+export interface OttoResponse {
+  answer: string;
+  documents: OttoDocument[];
+  success: boolean;
+  error: boolean;
+}
+
+export interface OttoQuery {
+  query: string;
+  conversation_history: { query: string; response: string }[];
+  message_id: string;
+  include_graph_data: boolean;
+  graph_id?: string;
+}
+
+export interface StoreListingWithVersions {
+  listing_id: string;
+  slug: string;
+  agent_id: string;
+  agent_version: number;
+  active_version_id: string | null;
+  has_approved_version: boolean;
+  creator_email: string | null;
+  latest_version: StoreSubmission | null;
+  versions: StoreSubmission[];
+}
+
+export interface StoreListingsWithVersionsResponse {
+  listings: StoreListingWithVersions[];
+  pagination: Pagination;
+}
+
+// Admin API Types
+export type AdminSubmissionsRequest = {
+  status?: SubmissionStatus;
+  search?: string;
+  page: number;
+  page_size: number;
+};
+
+export type AdminListingHistoryRequest = {
+  listing_id: string;
+  page: number;
+  page_size: number;
+};
+
+export type AdminSubmissionDetailsRequest = {
+  store_listing_version_id: string;
+};
+
+export type AdminPendingSubmissionsRequest = {
+  page: number;
+  page_size: number;
+};
+
+export enum CreditTransactionType {
+  TOP_UP = "TOP_UP",
+  USAGE = "USAGE",
+  GRANT = "GRANT",
+  REFUND = "REFUND",
+  CARD_CHECK = "CARD_CHECK",
+}
+
+export type UsersBalanceHistoryResponse = {
+  history: CreditTransaction[];
+  pagination: Pagination;
+};
+
+export type AddUserCreditsResponse = {
+  new_balance: number;
+  transaction_key: string;
+};
+const _stringFormatToDataTypeMap: Partial<Record<string, DataType>> = {
+  date: DataType.DATE,
+  time: DataType.TIME,
+  file: DataType.FILE,
+  "date-time": DataType.DATE_TIME,
+  "short-text": DataType.SHORT_TEXT,
+  "long-text": DataType.LONG_TEXT,
+};
+
+function _handleStringSchema(strSchema: BlockIOStringSubSchema): DataType {
+  if (strSchema.format) {
+    const type = _stringFormatToDataTypeMap[strSchema.format];
+    if (type) return type;
+  }
+  if (strSchema.enum) return DataType.SELECT;
+  if (strSchema.maxLength && strSchema.maxLength > 200)
+    return DataType.LONG_TEXT;
+  return DataType.SHORT_TEXT;
+}
+
+function _handleSingleTypeSchema(subSchema: BlockIOSubSchema): DataType {
+  if (subSchema.type === "string") {
+    return _handleStringSchema(subSchema as BlockIOStringSubSchema);
+  }
+  if (subSchema.type === "boolean") {
+    return DataType.BOOLEAN;
+  }
+  if (subSchema.type === "number" || subSchema.type === "integer") {
+    return DataType.NUMBER;
+  }
+  if (subSchema.type === "array") {
+    /** Commented code below since we haven't yet support rendering of a multi-select with array { items: enum } type */
+    // if ("items" in subSchema && subSchema.items && "enum" in subSchema.items) {
+    //   return DataType.MULTI_SELECT; // array + enum => multi-select
+    // }
+    return DataType.ARRAY;
+  }
+  if (subSchema.type === "object") {
+    if (
+      ("additionalProperties" in subSchema && subSchema.additionalProperties) ||
+      !("properties" in subSchema)
+    ) {
+      return DataType.KEY_VALUE; // if additionalProperties / no properties => key-value
+    }
+    if (
+      Object.values(subSchema.properties).every(
+        (prop) => prop.type === "boolean",
+      )
+    ) {
+      return DataType.MULTI_SELECT; // if all props are boolean => multi-select
+    }
+    return DataType.OBJECT;
+  }
+  return DataType.SHORT_TEXT;
+}
+
+export function determineDataType(schema: BlockIOSubSchema): DataType {
+  if ("allOf" in schema) {
+    // If this happens, that is because Pydantic wraps $refs in an allOf if the
+    // $ref has sibling schema properties (which isn't technically allowed),
+    // so there will only be one item in allOf[].
+    // this should NEVER happen though, as $refs are resolved server-side.
+    console.warn(
+      `Detected 'allOf' wrapper: ${schema}. Normalizing use ${schema.allOf[0]} instead.`,
+    );
+    schema = schema.allOf[0];
+  }
+
+  // Credentials override
+  if ("credentials_provider" in schema) {
+    return DataType.CREDENTIALS;
+  }
+
+  // enum == SELECT
+  if ("enum" in schema) {
+    return DataType.SELECT;
+  }
+
+  // Handle anyOf => optional types (string|null, number|null, etc.)
+  if ("anyOf" in schema) {
+    // e.g. schema.anyOf might look like [{ type: "string", ... }, { type: "null" }]
+    const types = schema.anyOf.map((sub) =>
+      "type" in sub ? sub.type : undefined,
+    );
+
+    // (string | null)
+    if (types.includes("string") && types.includes("null")) {
+      const strSchema = schema.anyOf.find(
+        (s) => s.type === "string",
+      ) as BlockIOStringSubSchema;
+      return _handleStringSchema(strSchema);
+    }
+
+    // (number|integer) & null
+    if (
+      (types.includes("number") || types.includes("integer")) &&
+      types.includes("null")
+    ) {
+      // Just reuse our single-type logic for whichever is not null
+      const numSchema = schema.anyOf.find(
+        (s) => s.type === "number" || s.type === "integer",
+      );
+      if (numSchema) {
+        return _handleSingleTypeSchema(numSchema);
+      }
+      return DataType.NUMBER; // fallback
+    }
+
+    // (array | null)
+    if (types.includes("array") && types.includes("null")) {
+      const arrSchema = schema.anyOf.find((s) => s.type === "array");
+      if (arrSchema) return _handleSingleTypeSchema(arrSchema);
+      return DataType.ARRAY;
+    }
+
+    // (object | null)
+    if (types.includes("object") && types.includes("null")) {
+      const objSchema = schema.anyOf.find(
+        (s) => s.type === "object",
+      ) as BlockIOObjectSubSchema;
+      if (objSchema) return _handleSingleTypeSchema(objSchema);
+      return DataType.OBJECT;
+    }
+  }
+
+  // oneOf + discriminator => user picks which variant => SELECT
+  if ("oneOf" in schema && "discriminator" in schema && schema.discriminator) {
+    return DataType.SELECT;
+  }
+
+  // Direct type
+  if ("type" in schema) {
+    return _handleSingleTypeSchema(schema);
+  }
+
+  // Fallback
+  return DataType.SHORT_TEXT;
+}
diff --git a/autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts b/autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts
index 601fe68b0193..4c7e9b9bcaab 100644
--- a/autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts
+++ b/autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts
@@ -1,20 +1,99 @@
-import { Graph, Block, Node } from "./types";
+import { Connection } from "@xyflow/react";
+import { Block, BlockUIType, Link } from "./types";
+import { Graph } from "@/app/api/__generated__/models/graph";
 
-/** Creates a copy of the graph with all secrets removed */
-export function safeCopyGraph(graph: Graph, block_defs: Block[]): Graph {
-  return {
-    ...graph,
-    nodes: graph.nodes.map((node) => {
-      const block = block_defs.find((b) => b.id == node.block_id)!;
+export function removeAgentInputBlockValues(graph: Graph, blocks: Block[]) {
+  const inputBlocks = graph.nodes?.filter(
+    (node) =>
+      blocks.find((b) => b.id === node.block_id)?.uiType === BlockUIType.INPUT,
+  );
+
+  const modifiedNodes = graph.nodes?.map((node) => {
+    if (inputBlocks?.find((inputNode) => inputNode.id === node.id)) {
       return {
         ...node,
-        input_default: Object.keys(node.input_default)
-          .filter((k) => !block.inputSchema.properties[k].secret)
-          .reduce((obj: Node["input_default"], key) => {
-            obj[key] = node.input_default[key];
-            return obj;
-          }, {}),
+        input_default: {
+          ...node.input_default,
+          value: "",
+        },
       };
-    }),
+    }
+    return node;
+  });
+
+  return {
+    ...graph,
+    nodes: modifiedNodes,
   };
 }
+
+export function formatEdgeID(conn: Link | Connection): string {
+  if ("sink_id" in conn) {
+    return `${conn.source_id}_${conn.source_name}_${conn.sink_id}_${conn.sink_name}`;
+  } else {
+    return `${conn.source}_${conn.sourceHandle}_${conn.target}_${conn.targetHandle}`;
+  }
+}
+
+/** Sanitizes a graph object in place so it can "safely" be imported into the system.
+ *
+ * **⚠️ Note:** not an actual safety feature, just intended to make the import UX more reliable.
+ */
+export function sanitizeImportedGraph(graph: Graph): void {
+  updateBlockIDs(graph);
+  removeCredentials(graph);
+}
+
+/** Recursively remove (in place) all "credentials" properties from an object */
+function removeCredentials(obj: any): void {
+  if (obj && typeof obj === "object") {
+    if (Array.isArray(obj)) {
+      obj.forEach((item) => removeCredentials(item));
+    } else {
+      delete obj.credentials;
+      Object.values(obj).forEach((value) => removeCredentials(value));
+    }
+  }
+  return obj;
+}
+
+/** ⚠️ Remove after 2025-10-01 (one year after implementation in
+ * [#8229](https://github.com/Significant-Gravitas/AutoGPT/pull/8229))
+ */
+function updateBlockIDs(graph: Graph) {
+  graph.nodes
+    ?.filter((node) => node.block_id in updatedBlockIDMap)
+    .forEach((node) => {
+      node.block_id = updatedBlockIDMap[node.block_id];
+    });
+}
+
+const updatedBlockIDMap: Record<string, string> = {
+  // https://github.com/Significant-Gravitas/AutoGPT/issues/8223
+  "a1b2c3d4-5e6f-7g8h-9i0j-k1l2m3n4o5p6":
+    "436c3984-57fd-4b85-8e9a-459b356883bd",
+  "b2g2c3d4-5e6f-7g8h-9i0j-k1l2m3n4o5p6":
+    "0e50422c-6dee-4145-83d6-3a5a392f65de",
+  "c3d4e5f6-7g8h-9i0j-1k2l-m3n4o5p6q7r8":
+    "a0a69be1-4528-491c-a85a-a4ab6873e3f0",
+  "c3d4e5f6-g7h8-i9j0-k1l2-m3n4o5p6q7r8":
+    "32a87eab-381e-4dd4-bdb8-4c47151be35a",
+  "b2c3d4e5-6f7g-8h9i-0j1k-l2m3n4o5p6q7":
+    "87840993-2053-44b7-8da4-187ad4ee518c",
+  "h1i2j3k4-5l6m-7n8o-9p0q-r1s2t3u4v5w6":
+    "d0822ab5-9f8a-44a3-8971-531dd0178b6b",
+  "d3f4g5h6-1i2j-3k4l-5m6n-7o8p9q0r1s2t":
+    "df06086a-d5ac-4abb-9996-2ad0acb2eff7",
+  "h5e7f8g9-1b2c-3d4e-5f6g-7h8i9j0k1l2m":
+    "f5b0f5d0-1862-4d61-94be-3ad0fa772760",
+  "a1234567-89ab-cdef-0123-456789abcdef":
+    "4335878a-394e-4e67-adf2-919877ff49ae",
+  "f8e7d6c5-b4a3-2c1d-0e9f-8g7h6i5j4k3l":
+    "f66a3543-28d3-4ab5-8945-9b336371e2ce",
+  "b29c1b50-5d0e-4d9f-8f9d-1b0e6fcbf0h2":
+    "716a67b3-6760-42e7-86dc-18645c6e00fc",
+  "31d1064e-7446-4693-o7d4-65e5ca9110d1":
+    "cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
+  "c6731acb-4105-4zp1-bc9b-03d0036h370g":
+    "5ebe6768-8e5d-41e3-9134-1c7bd89a8d52",
+};
diff --git a/autogpt_platform/frontend/src/lib/cron-expression-utils.ts b/autogpt_platform/frontend/src/lib/cron-expression-utils.ts
new file mode 100644
index 000000000000..afe290bb7eb6
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/cron-expression-utils.ts
@@ -0,0 +1,299 @@
+export type CronFrequency =
+  | "every minute"
+  | "hourly"
+  | "daily"
+  | "weekly"
+  | "monthly"
+  | "yearly"
+  | "custom";
+
+export type CronExpressionParams =
+  | { frequency: "every minute" }
+  | {
+      frequency: "hourly";
+      minute: number;
+    }
+  | ((
+      | {
+          frequency: "daily";
+        }
+      | {
+          frequency: "weekly";
+          /** 0-based list of weekdays: 0 = Monday ... 6 = Sunday */
+          days: number[];
+        }
+      | {
+          frequency: "monthly";
+          /** 1-based list of month days */
+          days: number[];
+        }
+      | {
+          frequency: "yearly";
+          /** 1-based list of months (1-12) */
+          months: number[];
+        }
+      | {
+          frequency: "custom";
+          customInterval: { unit: string; value: number };
+        }
+    ) & {
+      minute: number;
+      hour: number;
+    });
+
+export function makeCronExpression(params: CronExpressionParams): string {
+  const frequency = params.frequency;
+
+  if (frequency === "every minute") return "* * * * *";
+  if (frequency === "hourly") return `${params.minute} * * * *`;
+  if (frequency === "daily") return `${params.minute} ${params.hour} * * *`;
+  if (frequency === "weekly") {
+    const { minute, hour, days } = params;
+    if (days.length === 0) return ""; // Return empty string for invalid weekly schedule
+    const weekDaysExpr = days.sort((a, b) => a - b).join(",");
+    return `${minute} ${hour} * * ${weekDaysExpr}`;
+  }
+  if (frequency === "monthly") {
+    const { minute, hour, days } = params;
+    if (days.length === 0) return ""; // Return empty string for invalid monthly schedule
+    const monthDaysExpr = days.sort((a, b) => a - b).join(",");
+    return `${minute} ${hour} ${monthDaysExpr} * *`;
+  }
+  if (frequency === "yearly") {
+    const { minute, hour, months } = params;
+    if (months.length === 0) return ""; // Return empty string for invalid yearly schedule
+    const monthList = months.sort((a, b) => a - b).join(",");
+    return `${minute} ${hour} 1 ${monthList} *`;
+  }
+  if (frequency === "custom") {
+    const { minute, hour, customInterval } = params;
+    if (customInterval.unit === "minutes") {
+      return `*/${customInterval.value} * * * *`;
+    } else if (customInterval.unit === "hours") {
+      return `0 */${customInterval.value} * * *`;
+    } else {
+      return `${minute} ${hour} */${customInterval.value} * *`;
+    }
+  }
+
+  return "";
+}
+
+export function humanizeCronExpression(
+  cronExpression: string,
+  userTimezone?: string,
+): string {
+  const parts = cronExpression.trim().split(/\s+/);
+  if (parts.length !== 5) {
+    throw new Error("Invalid cron expression format.");
+  }
+
+  const [minute, hour, dayOfMonth, month, dayOfWeek] = parts;
+
+  // Handle every minute
+  if (cronExpression === "* * * * *") {
+    return "Every minute";
+  }
+
+  // Handle minute intervals (e.g., */5 * * * *)
+  if (
+    minute.startsWith("*/") &&
+    hour === "*" &&
+    dayOfMonth === "*" &&
+    month === "*" &&
+    dayOfWeek === "*"
+  ) {
+    const interval = minute.substring(2);
+    return `Every ${interval} minutes`;
+  }
+
+  // Handle hour intervals (e.g., 30 * * * *)
+  if (
+    hour === "*" &&
+    !minute.includes("/") &&
+    dayOfMonth === "*" &&
+    month === "*" &&
+    dayOfWeek === "*"
+  ) {
+    return `Every hour at minute ${minute}`;
+  }
+
+  // Handle every N hours (e.g., 0 */2 * * *)
+  if (
+    hour.startsWith("*/") &&
+    minute === "0" &&
+    dayOfMonth === "*" &&
+    month === "*" &&
+    dayOfWeek === "*"
+  ) {
+    const interval = hour.substring(2);
+    return `Every ${interval} hours`;
+  }
+
+  // Handle daily (e.g., 30 14 * * *)
+  if (
+    dayOfMonth === "*" &&
+    month === "*" &&
+    dayOfWeek === "*" &&
+    !minute.includes("/") &&
+    !hour.includes("/")
+  ) {
+    return `Every day at ${formatTime(hour, minute, userTimezone)}`;
+  }
+
+  // Handle weekly (e.g., 30 14 * * 1,3,5)
+  if (
+    dayOfWeek !== "*" &&
+    dayOfMonth === "*" &&
+    month === "*" &&
+    !minute.includes("/") &&
+    !hour.includes("/")
+  ) {
+    const days = getDayNames(dayOfWeek);
+    return `Every ${days} at ${formatTime(hour, minute, userTimezone)}`;
+  }
+
+  // Handle monthly (e.g., 30 14 1,15 * *)
+  if (
+    dayOfMonth !== "*" &&
+    month === "*" &&
+    dayOfWeek === "*" &&
+    !minute.includes("/") &&
+    !hour.includes("/")
+  ) {
+    const days = dayOfMonth.split(",").map(Number);
+    const dayList = days.join(", ");
+    return `On day ${dayList} of every month at ${formatTime(hour, minute, userTimezone)}`;
+  }
+
+  // Handle yearly (e.g., 30 14 1 1,6,12 *)
+  if (
+    dayOfMonth !== "*" &&
+    month !== "*" &&
+    dayOfWeek === "*" &&
+    !minute.includes("/") &&
+    !hour.includes("/")
+  ) {
+    const months = getMonthNames(month);
+    return `Every year on the 1st day of ${months} at ${formatTime(hour, minute, userTimezone)}`;
+  }
+
+  // Handle custom minute intervals with other fields as * (e.g., every N minutes)
+  if (
+    minute.includes("/") &&
+    hour === "*" &&
+    dayOfMonth === "*" &&
+    month === "*" &&
+    dayOfWeek === "*"
+  ) {
+    const interval = minute.split("/")[1];
+    return `Every ${interval} minutes`;
+  }
+
+  // Handle custom hour intervals with other fields as * (e.g., every N hours)
+  if (
+    hour.includes("/") &&
+    minute === "0" &&
+    dayOfMonth === "*" &&
+    month === "*" &&
+    dayOfWeek === "*"
+  ) {
+    const interval = hour.split("/")[1];
+    return `Every ${interval} hours`;
+  }
+
+  // Handle specific days with custom intervals (e.g., every N days)
+  if (
+    dayOfMonth.startsWith("*/") &&
+    month === "*" &&
+    dayOfWeek === "*" &&
+    !minute.includes("/") &&
+    !hour.includes("/")
+  ) {
+    const interval = dayOfMonth.substring(2);
+    return `Every ${interval} days at ${formatTime(hour, minute, userTimezone)}`;
+  }
+
+  return `Cron Expression: ${cronExpression}`;
+}
+
+function formatTime(
+  hour: string,
+  minute: string,
+  userTimezone?: string,
+): string {
+  // Convert from UTC cron time to user timezone for display consistency with next_run_time
+  if (userTimezone && userTimezone !== "UTC" && userTimezone !== "not-set") {
+    try {
+      // Create a date in UTC with the cron hour/minute (cron expressions are stored in UTC)
+      const utcDate = new Date();
+      utcDate.setUTCHours(parseInt(hour), parseInt(minute), 0, 0);
+
+      // Format in user's timezone to match next_run_time display
+      const formatter = new Intl.DateTimeFormat("en-US", {
+        hour: "2-digit",
+        minute: "2-digit",
+        hour12: false,
+        timeZone: userTimezone,
+      });
+
+      return formatter.format(utcDate);
+    } catch {
+      // Fallback to original formatting if timezone conversion fails
+      const formattedHour = padZero(hour);
+      const formattedMinute = padZero(minute);
+      return `${formattedHour}:${formattedMinute}`;
+    }
+  }
+
+  const formattedHour = padZero(hour);
+  const formattedMinute = padZero(minute);
+  return `${formattedHour}:${formattedMinute}`;
+}
+
+function padZero(value: string): string {
+  return value.padStart(2, "0");
+}
+
+function getDayNames(dayOfWeek: string): string {
+  const days = dayOfWeek.split(",").map(Number);
+  const dayNames = days
+    .map((d) => {
+      const names = [
+        "Sunday",
+        "Monday",
+        "Tuesday",
+        "Wednesday",
+        "Thursday",
+        "Friday",
+        "Saturday",
+      ];
+      return names[d] || `Unknown(${d})`;
+    })
+    .join(", ");
+  return dayNames;
+}
+
+function getMonthNames(month: string): string {
+  const months = month.split(",").map(Number);
+  const monthNames = months
+    .map((m) => {
+      const names = [
+        "January",
+        "February",
+        "March",
+        "April",
+        "May",
+        "June",
+        "July",
+        "August",
+        "September",
+        "October",
+        "November",
+        "December",
+      ];
+      return names[m - 1] || `Unknown(${m})`;
+    })
+    .join(", ");
+  return monthNames;
+}
diff --git a/autogpt_platform/frontend/src/lib/env-config.ts b/autogpt_platform/frontend/src/lib/env-config.ts
new file mode 100644
index 000000000000..33b07530b7eb
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/env-config.ts
@@ -0,0 +1,65 @@
+/**
+ * Environment configuration helper
+ *
+ * Provides unified access to environment variables with server-side priority.
+ * Server-side code uses Docker service names, client-side falls back to localhost.
+ */
+
+import { isServerSide } from "./utils/is-server-side";
+
+/**
+ * Gets the AGPT server URL with server-side priority
+ * Server-side: Uses AGPT_SERVER_URL (http://rest_server:8006/api)
+ * Client-side: Falls back to NEXT_PUBLIC_AGPT_SERVER_URL (http://localhost:8006/api)
+ */
+export function getAgptServerApiUrl(): string {
+  // If server-side and server URL exists, use it
+  if (isServerSide() && process.env.AGPT_SERVER_URL) {
+    return process.env.AGPT_SERVER_URL;
+  }
+
+  // Otherwise use the public URL
+  return process.env.NEXT_PUBLIC_AGPT_SERVER_URL || "http://localhost:8006/api";
+}
+
+export function getAgptServerBaseUrl(): string {
+  return getAgptServerApiUrl().replace("/api", "");
+}
+
+/**
+ * Gets the AGPT WebSocket URL with server-side priority
+ * Server-side: Uses AGPT_WS_SERVER_URL (ws://websocket_server:8001/ws)
+ * Client-side: Falls back to NEXT_PUBLIC_AGPT_WS_SERVER_URL (ws://localhost:8001/ws)
+ */
+export function getAgptWsServerUrl(): string {
+  // If server-side and server URL exists, use it
+  if (isServerSide() && process.env.AGPT_WS_SERVER_URL) {
+    return process.env.AGPT_WS_SERVER_URL;
+  }
+
+  // Otherwise use the public URL
+  return process.env.NEXT_PUBLIC_AGPT_WS_SERVER_URL || "ws://localhost:8001/ws";
+}
+
+/**
+ * Gets the Supabase URL with server-side priority
+ * Server-side: Uses SUPABASE_URL (http://kong:8000)
+ * Client-side: Falls back to NEXT_PUBLIC_SUPABASE_URL (http://localhost:8000)
+ */
+export function getSupabaseUrl(): string {
+  // If server-side and server URL exists, use it
+  if (isServerSide() && process.env.SUPABASE_URL) {
+    return process.env.SUPABASE_URL;
+  }
+
+  // Otherwise use the public URL
+  return process.env.NEXT_PUBLIC_SUPABASE_URL || "http://localhost:8000";
+}
+
+/**
+ * Gets the Supabase anon key
+ * Uses NEXT_PUBLIC_SUPABASE_ANON_KEY since anon keys are public and same across environments
+ */
+export function getSupabaseAnonKey(): string {
+  return process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY || "";
+}
diff --git a/autogpt_platform/frontend/src/lib/hooks/useBreakpoint.ts b/autogpt_platform/frontend/src/lib/hooks/useBreakpoint.ts
new file mode 100644
index 000000000000..44fc52bac3a3
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/hooks/useBreakpoint.ts
@@ -0,0 +1,50 @@
+import { useEffect, useState } from "react";
+
+export type Breakpoint = "base" | "sm" | "md" | "lg" | "xl" | "2xl";
+
+// Explicitly maps to tailwind breakpoints
+const breakpoints: Record<Breakpoint, number> = {
+  base: 0,
+  sm: 640,
+  md: 768,
+  lg: 1024,
+  xl: 1280,
+  "2xl": 1536,
+};
+
+export function useBreakpoint(): Breakpoint {
+  const [breakpoint, setBreakpoint] = useState<Breakpoint>("lg");
+
+  useEffect(() => {
+    const getBreakpoint = () => {
+      const width = window.innerWidth;
+      if (width < breakpoints.sm) return "base";
+      if (width < breakpoints.md) return "sm";
+      if (width < breakpoints.lg) return "md";
+      if (width < breakpoints.xl) return "lg";
+      if (width < breakpoints["2xl"]) return "xl";
+      return "2xl";
+    };
+
+    const handleResize = () => {
+      const current = getBreakpoint();
+      setBreakpoint(current);
+    };
+
+    window.addEventListener("resize", handleResize);
+    handleResize(); // initial call
+
+    return () => window.removeEventListener("resize", handleResize);
+  }, []);
+
+  return breakpoint;
+}
+
+export function isLargeScreen(bp: Breakpoint) {
+  if (bp === "sm") return false;
+  if (bp === "md") return false;
+  if (bp === "lg") return true;
+  if (bp === "xl") return true;
+  if (bp === "2xl") return true;
+  return false;
+}
diff --git a/autogpt_platform/frontend/src/lib/monitor/cronExpressionManager.ts b/autogpt_platform/frontend/src/lib/monitor/cronExpressionManager.ts
deleted file mode 100644
index fb9fbe8eee1d..000000000000
--- a/autogpt_platform/frontend/src/lib/monitor/cronExpressionManager.ts
+++ /dev/null
@@ -1,239 +0,0 @@
-export class CronExpressionManager {
-  generateCronExpression(
-    frequency: string,
-    selectedTime: string,
-    selectedDays: number[],
-    selectedMinute: string,
-    customInterval: { unit: string; value: number },
-  ): string {
-    const [hours, minutes] = selectedTime.split(":").map(Number);
-    let expression = "";
-
-    switch (frequency) {
-      case "minute":
-        expression = "* * * * *";
-        break;
-      case "hour":
-        expression = `${selectedMinute} * * * *`;
-        break;
-      case "daily":
-        expression = `${minutes} ${hours} * * *`;
-        break;
-      case "weekly":
-        const days = selectedDays.join(",");
-        expression = `${minutes} ${hours} * * ${days}`;
-        break;
-      case "monthly":
-        const monthDays = selectedDays.sort((a, b) => a - b).join(",");
-        expression = `${minutes} ${hours} ${monthDays} * *`;
-        break;
-      case "yearly":
-        const monthList = selectedDays
-          .map((d) => d + 1)
-          .sort((a, b) => a - b)
-          .join(",");
-        expression = `${minutes} ${hours} 1 ${monthList} *`;
-        break;
-      case "custom":
-        if (customInterval.unit === "minutes") {
-          expression = `*/${customInterval.value} * * * *`;
-        } else if (customInterval.unit === "hours") {
-          expression = `0 */${customInterval.value} * * *`;
-        } else {
-          expression = `${minutes} ${hours} */${customInterval.value} * *`;
-        }
-        break;
-      default:
-        expression = "";
-    }
-    return expression;
-  }
-
-  generateDescription(cronExpression: string): string {
-    const parts = cronExpression.trim().split(/\s+/);
-    if (parts.length !== 5) {
-      throw new Error("Invalid cron expression format.");
-    }
-
-    const [minute, hour, dayOfMonth, month, dayOfWeek] = parts;
-
-    // Handle every minute
-    if (cronExpression === "* * * * *") {
-      return "Every minute";
-    }
-
-    // Handle minute intervals (e.g., */5 * * * *)
-    if (
-      minute.startsWith("*/") &&
-      hour === "*" &&
-      dayOfMonth === "*" &&
-      month === "*" &&
-      dayOfWeek === "*"
-    ) {
-      const interval = minute.substring(2);
-      return `Every ${interval} minutes`;
-    }
-
-    // Handle hour intervals (e.g., 30 * * * *)
-    if (
-      hour === "*" &&
-      !minute.includes("/") &&
-      dayOfMonth === "*" &&
-      month === "*" &&
-      dayOfWeek === "*"
-    ) {
-      return `Every hour at minute ${minute}`;
-    }
-
-    // Handle every N hours (e.g., 0 */2 * * *)
-    if (
-      hour.startsWith("*/") &&
-      minute === "0" &&
-      dayOfMonth === "*" &&
-      month === "*" &&
-      dayOfWeek === "*"
-    ) {
-      const interval = hour.substring(2);
-      return `Every ${interval} hours`;
-    }
-
-    // Handle daily (e.g., 30 14 * * *)
-    if (
-      dayOfMonth === "*" &&
-      month === "*" &&
-      dayOfWeek === "*" &&
-      !minute.includes("/") &&
-      !hour.includes("/")
-    ) {
-      return `Every day at ${this.formatTime(hour, minute)}`;
-    }
-
-    // Handle weekly (e.g., 30 14 * * 1,3,5)
-    if (
-      dayOfWeek !== "*" &&
-      dayOfMonth === "*" &&
-      month === "*" &&
-      !minute.includes("/") &&
-      !hour.includes("/")
-    ) {
-      const days = this.getDayNames(dayOfWeek);
-      return `Every ${days} at ${this.formatTime(hour, minute)}`;
-    }
-
-    // Handle monthly (e.g., 30 14 1,15 * *)
-    if (
-      dayOfMonth !== "*" &&
-      month === "*" &&
-      dayOfWeek === "*" &&
-      !minute.includes("/") &&
-      !hour.includes("/")
-    ) {
-      const days = dayOfMonth.split(",").map(Number);
-      const dayList = days.join(", ");
-      return `On day ${dayList} of every month at ${this.formatTime(hour, minute)}`;
-    }
-
-    // Handle yearly (e.g., 30 14 1 1,6,12 *)
-    if (
-      dayOfMonth !== "*" &&
-      month !== "*" &&
-      dayOfWeek === "*" &&
-      !minute.includes("/") &&
-      !hour.includes("/")
-    ) {
-      const months = this.getMonthNames(month);
-      return `Every year on the 1st day of ${months} at ${this.formatTime(hour, minute)}`;
-    }
-
-    // Handle custom minute intervals with other fields as * (e.g., every N minutes)
-    if (
-      minute.includes("/") &&
-      hour === "*" &&
-      dayOfMonth === "*" &&
-      month === "*" &&
-      dayOfWeek === "*"
-    ) {
-      const interval = minute.split("/")[1];
-      return `Every ${interval} minutes`;
-    }
-
-    // Handle custom hour intervals with other fields as * (e.g., every N hours)
-    if (
-      hour.includes("/") &&
-      minute === "0" &&
-      dayOfMonth === "*" &&
-      month === "*" &&
-      dayOfWeek === "*"
-    ) {
-      const interval = hour.split("/")[1];
-      return `Every ${interval} hours`;
-    }
-
-    // Handle specific days with custom intervals (e.g., every N days)
-    if (
-      dayOfMonth.startsWith("*/") &&
-      month === "*" &&
-      dayOfWeek === "*" &&
-      !minute.includes("/") &&
-      !hour.includes("/")
-    ) {
-      const interval = dayOfMonth.substring(2);
-      return `Every ${interval} days at ${this.formatTime(hour, minute)}`;
-    }
-
-    return `Cron Expression: ${cronExpression}`;
-  }
-
-  private formatTime(hour: string, minute: string): string {
-    const formattedHour = this.padZero(hour);
-    const formattedMinute = this.padZero(minute);
-    return `${formattedHour}:${formattedMinute}`;
-  }
-
-  private padZero(value: string): string {
-    return value.padStart(2, "0");
-  }
-
-  private getDayNames(dayOfWeek: string): string {
-    const days = dayOfWeek.split(",").map(Number);
-    const dayNames = days
-      .map((d) => {
-        const names = [
-          "Sunday",
-          "Monday",
-          "Tuesday",
-          "Wednesday",
-          "Thursday",
-          "Friday",
-          "Saturday",
-        ];
-        return names[d] || `Unknown(${d})`;
-      })
-      .join(", ");
-    return dayNames;
-  }
-
-  private getMonthNames(month: string): string {
-    const months = month.split(",").map(Number);
-    const monthNames = months
-      .map((m) => {
-        const names = [
-          "January",
-          "February",
-          "March",
-          "April",
-          "May",
-          "June",
-          "July",
-          "August",
-          "September",
-          "October",
-          "November",
-          "December",
-        ];
-        return names[m - 1] || `Unknown(${m})`;
-      })
-      .join(", ");
-    return monthNames;
-  }
-}
diff --git a/autogpt_platform/frontend/src/lib/react-query/queryClient.ts b/autogpt_platform/frontend/src/lib/react-query/queryClient.ts
new file mode 100644
index 000000000000..836c505c2fea
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/react-query/queryClient.ts
@@ -0,0 +1,33 @@
+import { isServer, QueryClient } from "@tanstack/react-query";
+
+function makeQueryClient() {
+  return new QueryClient({
+    defaultOptions: {
+      queries: {
+        // Added this because if staleTime is 0 (default), the data fetched on the server becomes stale immediately on the client, and it refetches again.
+        staleTime: 60 * 1000,
+
+        // Highlighting some important defaults to avoid confusion
+        // Queries are stale by default → triggers background refetch
+        // Refetch triggers: on mount, window focus, reconnect
+        // Failed queries retry 3 times with exponential backoff
+        // Inactive queries are GC'd after 5 mins (gcTime = 5 * 60 * 1000)
+        // Structural sharing is enabled for efficient data comparison
+        // For more info, visit https://tanstack.com/query/latest/docs/framework/react/guides/important-defaults
+      },
+    },
+  });
+}
+
+let browserQueryClient: QueryClient | undefined = undefined;
+
+export function getQueryClient() {
+  if (isServer) {
+    // Server: create new client every time (so one user's data doesn't leak to another)
+    return makeQueryClient();
+  } else {
+    // Client: reuse the same client (to keep cache + avoid bugs if React suspends)
+    if (!browserQueryClient) browserQueryClient = makeQueryClient();
+    return browserQueryClient;
+  }
+}
diff --git a/autogpt_platform/frontend/src/lib/supabase/SESSION_VALIDATION.md b/autogpt_platform/frontend/src/lib/supabase/SESSION_VALIDATION.md
new file mode 100644
index 000000000000..482ceb27fc7d
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/supabase/SESSION_VALIDATION.md
@@ -0,0 +1,180 @@
+# Server-Side Session Validation with httpOnly Cookies
+
+This implementation ensures that Supabase session validation is always performed on the server side using httpOnly cookies for improved security.
+
+## Key Features
+
+- **httpOnly Cookies**: Session cookies are inaccessible to client-side JavaScript, preventing XSS attacks
+- **Server-Side Authentication**: All API requests are authenticated on the server using httpOnly cookies
+- **Automatic Request Proxying**: All BackendAPI requests are automatically proxied through server actions
+- **File Upload Support**: File uploads work seamlessly with httpOnly cookie authentication
+- **Zero Code Changes**: Existing BackendAPI usage continues to work without modifications
+- **Cross-Tab Logout**: Logout events are still synchronized across browser tabs
+
+## How It Works
+
+All API requests made through `BackendAPI` are automatically proxied through server actions that:
+
+1. Retrieve the JWT token from server-side httpOnly cookies
+2. Make the authenticated request to the backend API
+3. Return the response to the client
+
+This includes both regular API calls and file uploads, all handled transparently!
+
+## Usage
+
+### Client Components
+
+No changes needed! The existing `useSupabase` hook and `useBackendAPI` continue to work:
+
+```tsx
+"use client";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+function MyComponent() {
+  const { user, isLoggedIn, isUserLoading, logOut } = useSupabase();
+  const api = useBackendAPI();
+
+  if (isUserLoading) return <div>Loading...</div>;
+  if (!isLoggedIn) return <div>Please log in</div>;
+
+  // Regular API calls use secure server-side authentication
+  const handleGetGraphs = async () => {
+    const graphs = await api.listGraphs();
+    console.log(graphs);
+  };
+
+  // File uploads also work with secure authentication
+  const handleFileUpload = async (file: File) => {
+    try {
+      const mediaUrl = await api.uploadStoreSubmissionMedia(file);
+      console.log("Uploaded:", mediaUrl);
+    } catch (error) {
+      console.error("Upload failed:", error);
+    }
+  };
+
+  return (
+    <div>
+      <p>Welcome, {user?.email}!</p>
+      <button onClick={handleGetGraphs}>Get Graphs</button>
+      <input
+        type="file"
+        onChange={(e) =>
+          e.target.files?.[0] && handleFileUpload(e.target.files[0])
+        }
+      />
+      <button onClick={logOut}>Log Out</button>
+    </div>
+  );
+}
+```
+
+### Server Components
+
+No changes needed! Server components continue to work as before:
+
+```tsx
+import { validateSession, getCurrentUser } from "@/lib/supabase/actions";
+import { redirect } from "next/navigation";
+
+async function MyServerComponent() {
+  const { user, error } = await getCurrentUser();
+
+  if (error || !user) {
+    redirect("/login");
+  }
+
+  return <div>Welcome, {user.email}!</div>;
+}
+```
+
+### Server Actions
+
+No changes needed! Server actions continue to work as before:
+
+```tsx
+"use server";
+import { validateSession } from "@/lib/supabase/actions";
+import BackendAPI from "@/lib/autogpt-server-api";
+import { redirect } from "next/navigation";
+
+export async function myServerAction() {
+  const { user, isValid } = await validateSession("/current-path");
+
+  if (!isValid || !user) {
+    redirect("/login");
+    return;
+  }
+
+  // This automatically uses secure server-side authentication
+  const api = new BackendAPI();
+  const graphs = await api.listGraphs();
+
+  return graphs;
+}
+```
+
+### API Calls and File Uploads
+
+All operations use the same simple code everywhere:
+
+```tsx
+// Works the same in both client and server contexts
+const api = new BackendAPI();
+
+// Regular API requests
+const graphs = await api.listGraphs();
+const user = await api.createUser();
+const onboarding = await api.getUserOnboarding();
+
+// File uploads
+const file = new File(["content"], "example.txt", { type: "text/plain" });
+const mediaUrl = await api.uploadStoreSubmissionMedia(file);
+```
+
+## Available Server Actions
+
+- `validateSession(currentPath)` - Validates the current session and returns user data
+- `getCurrentUser()` - Gets the current user without path validation
+- `serverLogout()` - Logs out the user server-side
+- `refreshSession()` - Refreshes the current session
+
+## Internal Architecture
+
+### Request Flow
+
+All API requests (including file uploads) follow this flow:
+
+1. **Any API call**: `api.listGraphs()` or `api.uploadStoreSubmissionMedia(file)`
+2. **Proxy server action**: `proxyApiRequest()` or `proxyFileUpload()` handles the request
+3. **Server authentication**: Gets JWT from httpOnly cookies
+4. **Backend request**: Makes authenticated request to backend API
+5. **Response**: Returns data to the calling code
+
+### File Upload Implementation
+
+File uploads are handled through a dedicated `proxyFileUpload` server action that:
+
+- Receives the file data as FormData on the server
+- Retrieves authentication tokens from httpOnly cookies
+- Forwards the authenticated upload request to the backend
+- Returns the upload result to the client
+
+## Security Benefits
+
+1. **XSS Protection**: httpOnly cookies can't be accessed by malicious scripts
+2. **CSRF Protection**: Combined with SameSite cookie settings
+3. **Server-Side Validation**: Session validation always happens on the trusted server
+4. **Zero Token Exposure**: JWT tokens never exposed to client-side JavaScript
+5. **Zero Attack Surface**: No client-side session manipulation possible
+6. **Secure File Uploads**: File uploads maintain the same security model
+
+## Migration Notes
+
+- **No code changes required** - all existing BackendAPI usage continues to work
+- File uploads now work seamlessly with httpOnly cookies
+- Cross-tab logout functionality is preserved
+- WebSocket connections may need reconnection after session changes
+- All requests now have consistent security behavior
diff --git a/autogpt_platform/frontend/src/lib/supabase/actions.ts b/autogpt_platform/frontend/src/lib/supabase/actions.ts
new file mode 100644
index 000000000000..f5608accbcb5
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/supabase/actions.ts
@@ -0,0 +1,225 @@
+"use server";
+import * as Sentry from "@sentry/nextjs";
+import type { User } from "@supabase/supabase-js";
+import { revalidatePath } from "next/cache";
+import { redirect } from "next/navigation";
+import { getRedirectPath } from "./helpers";
+import { getServerSupabase } from "./server/getServerSupabase";
+
+export interface SessionValidationResult {
+  user: User | null;
+  isValid: boolean;
+  redirectPath?: string;
+}
+
+export async function validateSession(
+  currentPath: string,
+): Promise<SessionValidationResult> {
+  return await Sentry.withServerActionInstrumentation(
+    "validateSession",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        return {
+          user: null,
+          isValid: false,
+          redirectPath: getRedirectPath(currentPath) || undefined,
+        };
+      }
+
+      try {
+        const {
+          data: { user },
+          error,
+        } = await supabase.auth.getUser();
+
+        if (error || !user) {
+          const redirectPath = getRedirectPath(currentPath);
+          return {
+            user: null,
+            isValid: false,
+            redirectPath: redirectPath || undefined,
+          };
+        }
+
+        return {
+          user,
+          isValid: true,
+        };
+      } catch (error) {
+        console.error("Session validation error:", error);
+        const redirectPath = getRedirectPath(currentPath);
+        return {
+          user: null,
+          isValid: false,
+          redirectPath: redirectPath || undefined,
+        };
+      }
+    },
+  );
+}
+
+export async function getCurrentUser(): Promise<{
+  user: User | null;
+  error?: string;
+}> {
+  return await Sentry.withServerActionInstrumentation(
+    "getCurrentUser",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        return {
+          user: null,
+          error: "Supabase client not available",
+        };
+      }
+
+      try {
+        const {
+          data: { user },
+          error,
+        } = await supabase.auth.getUser();
+
+        if (error) {
+          return {
+            user: null,
+            error: error.message,
+          };
+        }
+
+        return { user };
+      } catch (error) {
+        console.error("Get current user error:", error);
+        return {
+          user: null,
+          error: error instanceof Error ? error.message : "Unknown error",
+        };
+      }
+    },
+  );
+}
+
+export async function getWebSocketToken(): Promise<{
+  token: string | null;
+  error?: string;
+}> {
+  return await Sentry.withServerActionInstrumentation(
+    "getWebSocketToken",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        return {
+          token: null,
+          error: "Supabase client not available",
+        };
+      }
+
+      try {
+        const {
+          data: { session },
+          error,
+        } = await supabase.auth.getSession();
+
+        if (error) {
+          return {
+            token: null,
+            error: error.message,
+          };
+        }
+
+        return { token: session?.access_token || null };
+      } catch (error) {
+        console.error("Get WebSocket token error:", error);
+        return {
+          token: null,
+          error: error instanceof Error ? error.message : "Unknown error",
+        };
+      }
+    },
+  );
+}
+
+export type ServerLogoutOptions = {
+  globalLogout?: boolean;
+};
+
+export async function serverLogout(options: ServerLogoutOptions = {}) {
+  return await Sentry.withServerActionInstrumentation(
+    "serverLogout",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        redirect("/login");
+        return;
+      }
+
+      try {
+        const { error } = await supabase.auth.signOut({
+          scope: options.globalLogout ? "global" : "local",
+        });
+
+        revalidatePath("/");
+
+        if (error) {
+          console.error("Error logging out:", error);
+        }
+      } catch (error) {
+        console.error("Logout error:", error);
+      }
+
+      // Clear all cached data and redirect
+      revalidatePath("/", "layout");
+      redirect("/login");
+    },
+  );
+}
+
+export async function refreshSession() {
+  return await Sentry.withServerActionInstrumentation(
+    "refreshSession",
+    {},
+    async () => {
+      const supabase = await getServerSupabase();
+
+      if (!supabase) {
+        return {
+          user: null,
+          error: "Supabase client not available",
+        };
+      }
+
+      try {
+        const {
+          data: { user },
+          error,
+        } = await supabase.auth.refreshSession();
+
+        if (error) {
+          return {
+            user: null,
+            error: error.message,
+          };
+        }
+
+        // Revalidate the layout to update server components
+        revalidatePath("/", "layout");
+
+        return { user };
+      } catch (error) {
+        console.error("Refresh session error:", error);
+        return {
+          user: null,
+          error: error instanceof Error ? error.message : "Unknown error",
+        };
+      }
+    },
+  );
+}
diff --git a/autogpt_platform/frontend/src/lib/supabase/getServerSupabase.ts b/autogpt_platform/frontend/src/lib/supabase/getServerSupabase.ts
deleted file mode 100644
index 7122b2e65836..000000000000
--- a/autogpt_platform/frontend/src/lib/supabase/getServerSupabase.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-import { createServerClient } from "@supabase/ssr";
-
-export default function getServerSupabase() {
-  // Need require here, so Next.js doesn't complain about importing this on client side
-  const { cookies } = require("next/headers");
-  const cookieStore = cookies();
-
-  try {
-    const supabase = createServerClient(
-      process.env.NEXT_PUBLIC_SUPABASE_URL!,
-      process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!,
-      {
-        cookies: {
-          getAll() {
-            return cookieStore.getAll();
-          },
-          setAll(cookiesToSet) {
-            try {
-              cookiesToSet.forEach(({ name, value, options }) =>
-                cookieStore.set(name, value, options),
-              );
-            } catch {
-              // The `setAll` method was called from a Server Component.
-              // This can be ignored if you have middleware refreshing
-              // user sessions.
-            }
-          },
-        },
-      },
-    );
-
-    return supabase;
-  } catch (error) {
-    throw error;
-  }
-}
diff --git a/autogpt_platform/frontend/src/lib/supabase/helpers.ts b/autogpt_platform/frontend/src/lib/supabase/helpers.ts
new file mode 100644
index 000000000000..1ef5aabec250
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/supabase/helpers.ts
@@ -0,0 +1,136 @@
+import { type CookieOptions } from "@supabase/ssr";
+import { SupabaseClient } from "@supabase/supabase-js";
+import { Key, storage } from "@/services/storage/local-storage";
+import { isServerSide } from "../utils/is-server-side";
+
+export const PROTECTED_PAGES = [
+  "/monitor",
+  "/build",
+  "/onboarding",
+  "/profile",
+  "/library",
+  "/monitoring",
+] as const;
+
+export const ADMIN_PAGES = ["/admin"] as const;
+
+export function getCookieSettings(): Partial<CookieOptions> {
+  return {
+    secure: process.env.NODE_ENV === "production",
+    sameSite: "lax",
+    httpOnly: true,
+  } as const;
+}
+
+// Page protection utilities
+export function isProtectedPage(pathname: string): boolean {
+  return PROTECTED_PAGES.some((page) => pathname.startsWith(page));
+}
+
+export function isAdminPage(pathname: string): boolean {
+  return ADMIN_PAGES.some((page) => pathname.startsWith(page));
+}
+
+export function shouldRedirectOnLogout(pathname: string): boolean {
+  return isProtectedPage(pathname) || isAdminPage(pathname);
+}
+
+// Cross-tab logout utilities
+export function broadcastLogout(): void {
+  storage.set(Key.LOGOUT, Date.now().toString());
+}
+
+export function isLogoutEvent(event: StorageEvent): boolean {
+  return event.key === Key.LOGOUT;
+}
+
+// WebSocket disconnect intent utilities
+export function setWebSocketDisconnectIntent(): void {
+  storage.set(Key.WEBSOCKET_DISCONNECT_INTENT, "true");
+}
+
+export function clearWebSocketDisconnectIntent(): void {
+  storage.clean(Key.WEBSOCKET_DISCONNECT_INTENT);
+}
+
+export function hasWebSocketDisconnectIntent(): boolean {
+  return storage.get(Key.WEBSOCKET_DISCONNECT_INTENT) === "true";
+}
+
+// Redirect utilities
+export function getRedirectPath(
+  pathname: string,
+  userRole?: string,
+): string | null {
+  if (shouldRedirectOnLogout(pathname)) {
+    return "/login";
+  }
+
+  if (isAdminPage(pathname) && userRole !== "admin") {
+    return "/marketplace";
+  }
+
+  return null;
+}
+
+// Event listener management
+export interface EventListeners {
+  cleanup: () => void;
+}
+
+export function setupSessionEventListeners(
+  onVisibilityChange: () => void,
+  onFocus: () => void,
+  onStorageChange: (e: StorageEvent) => void,
+): EventListeners {
+  if (isServerSide() || typeof document === "undefined") {
+    return { cleanup: () => {} };
+  }
+
+  document.addEventListener("visibilitychange", onVisibilityChange);
+  window.addEventListener("focus", onFocus);
+  window.addEventListener("storage", onStorageChange);
+
+  return {
+    cleanup: () => {
+      document.removeEventListener("visibilitychange", onVisibilityChange);
+      window.removeEventListener("focus", onFocus);
+      window.removeEventListener("storage", onStorageChange);
+    },
+  };
+}
+
+export interface CodeExchangeResult {
+  success: boolean;
+  error?: string;
+}
+
+export async function exchangePasswordResetCode(
+  supabase: SupabaseClient<any, "public", any>,
+  code: string,
+): Promise<CodeExchangeResult> {
+  try {
+    const { data, error } = await supabase.auth.exchangeCodeForSession(code);
+
+    if (error) {
+      return {
+        success: false,
+        error: error.message,
+      };
+    }
+
+    if (!data.session) {
+      return {
+        success: false,
+        error: "Failed to create session",
+      };
+    }
+
+    return { success: true };
+  } catch (error) {
+    return {
+      success: false,
+      error: error instanceof Error ? error.message : "Unknown error",
+    };
+  }
+}
diff --git a/autogpt_platform/frontend/src/lib/supabase/hooks/useSupabase.ts b/autogpt_platform/frontend/src/lib/supabase/hooks/useSupabase.ts
new file mode 100644
index 000000000000..025919391e3a
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/supabase/hooks/useSupabase.ts
@@ -0,0 +1,184 @@
+"use client";
+import { createBrowserClient } from "@supabase/ssr";
+import { User } from "@supabase/supabase-js";
+import { usePathname, useRouter } from "next/navigation";
+import { useEffect, useMemo, useRef, useState } from "react";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { getSupabaseUrl, getSupabaseAnonKey } from "@/lib/env-config";
+import {
+  getCurrentUser,
+  refreshSession,
+  serverLogout,
+  ServerLogoutOptions,
+  validateSession,
+} from "../actions";
+import {
+  broadcastLogout,
+  clearWebSocketDisconnectIntent,
+  getRedirectPath,
+  isLogoutEvent,
+  setWebSocketDisconnectIntent,
+  setupSessionEventListeners,
+} from "../helpers";
+
+export function useSupabase() {
+  const router = useRouter();
+  const pathname = usePathname();
+  const api = useBackendAPI();
+  const [user, setUser] = useState<User | null>(null);
+  const [isUserLoading, setIsUserLoading] = useState(true);
+  const lastValidationRef = useRef<number>(0);
+  const isValidatingRef = useRef(false);
+  const isLoggedIn = Boolean(user);
+
+  const supabase = useMemo(() => {
+    try {
+      return createBrowserClient(getSupabaseUrl(), getSupabaseAnonKey(), {
+        isSingleton: true,
+        auth: {
+          persistSession: false, // Don't persist session on client with httpOnly cookies
+        },
+      });
+    } catch (error) {
+      console.error("Error creating Supabase client", error);
+      return null;
+    }
+  }, []);
+
+  async function logOut(options: ServerLogoutOptions = {}) {
+    setWebSocketDisconnectIntent();
+    api.disconnectWebSocket();
+    broadcastLogout();
+
+    try {
+      await serverLogout(options);
+    } catch (error) {
+      console.error("Error logging out:", error);
+    } finally {
+      setUser(null);
+      router.refresh();
+    }
+  }
+
+  async function validateSessionServer() {
+    // Prevent concurrent validation calls
+    if (isValidatingRef.current) return true;
+
+    // Simple debounce - only validate if 2 seconds have passed
+    const now = Date.now();
+    if (now - lastValidationRef.current < 2000) {
+      return true;
+    }
+
+    isValidatingRef.current = true;
+    lastValidationRef.current = now;
+
+    try {
+      const result = await validateSession(pathname);
+
+      if (!result.isValid) {
+        setUser(null);
+        if (result.redirectPath) {
+          router.push(result.redirectPath);
+        }
+        return false;
+      }
+
+      // Update local state with server user data
+      if (result.user) {
+        setUser((currentUser) => {
+          // Only update if user actually changed to prevent unnecessary re-renders
+          if (currentUser?.id !== result.user?.id) {
+            return result.user;
+          }
+          return currentUser;
+        });
+        clearWebSocketDisconnectIntent();
+      }
+
+      return true;
+    } catch (error) {
+      console.error("Session validation error:", error);
+      setUser(null);
+      const redirectPath = getRedirectPath(pathname);
+      if (redirectPath) {
+        router.push(redirectPath);
+      }
+      return false;
+    } finally {
+      isValidatingRef.current = false;
+    }
+  }
+
+  async function getUserFromServer() {
+    try {
+      const { user: serverUser, error } = await getCurrentUser();
+
+      if (error || !serverUser) {
+        setUser(null);
+        return null;
+      }
+
+      setUser(serverUser);
+      clearWebSocketDisconnectIntent();
+      return serverUser;
+    } catch (error) {
+      console.error("Get user error:", error);
+      setUser(null);
+      return null;
+    }
+  }
+
+  function handleCrossTabLogout(e: StorageEvent) {
+    if (!isLogoutEvent(e)) return;
+
+    setWebSocketDisconnectIntent();
+    api.disconnectWebSocket();
+
+    // Clear local state immediately
+    setUser(null);
+    router.refresh();
+
+    const redirectPath = getRedirectPath(pathname);
+    if (redirectPath) {
+      router.push(redirectPath);
+    }
+  }
+
+  function handleVisibilityChange() {
+    if (document.visibilityState === "visible") {
+      validateSessionServer();
+    }
+  }
+
+  function handleFocus() {
+    validateSessionServer();
+  }
+
+  useEffect(() => {
+    getUserFromServer().finally(() => {
+      setIsUserLoading(false);
+    });
+
+    // Set up event listeners for cross-tab logout, focus, and visibility change
+    const eventListeners = setupSessionEventListeners(
+      handleVisibilityChange,
+      handleFocus,
+      handleCrossTabLogout,
+    );
+
+    return () => {
+      eventListeners.cleanup();
+    };
+  }, []);
+
+  return {
+    user,
+    supabase, // Available for non-auth operations like real-time subscriptions
+    isLoggedIn,
+    isUserLoading,
+    logOut,
+    validateSession: validateSessionServer,
+    refreshSession,
+  };
+}
diff --git a/autogpt_platform/frontend/src/lib/supabase/middleware.ts b/autogpt_platform/frontend/src/lib/supabase/middleware.ts
index e6b4308a2bd4..05b911c7ef6b 100644
--- a/autogpt_platform/frontend/src/lib/supabase/middleware.ts
+++ b/autogpt_platform/frontend/src/lib/supabase/middleware.ts
@@ -1,93 +1,70 @@
 import { createServerClient } from "@supabase/ssr";
 import { NextResponse, type NextRequest } from "next/server";
-
-// TODO: Update the protected pages list
-const PROTECTED_PAGES = [
-  "/monitor",
-  "/build",
-  "/store/profile",
-  "/store/settings",
-  "/store/dashboard",
-];
-const ADMIN_PAGES = ["/admin"];
+import { getCookieSettings, isAdminPage, isProtectedPage } from "./helpers";
+import { getSupabaseUrl, getSupabaseAnonKey } from "../env-config";
 
 export async function updateSession(request: NextRequest) {
   let supabaseResponse = NextResponse.next({
     request,
   });
 
-  const isAvailable = Boolean(
-    process.env.NEXT_PUBLIC_SUPABASE_URL &&
-      process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY,
-  );
+  const supabaseUrl = getSupabaseUrl();
+  const supabaseKey = getSupabaseAnonKey();
+  const isAvailable = Boolean(supabaseUrl && supabaseKey);
 
   if (!isAvailable) {
     return supabaseResponse;
   }
 
   try {
-    const supabase = createServerClient(
-      process.env.NEXT_PUBLIC_SUPABASE_URL!,
-      process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!,
-      {
-        cookies: {
-          getAll() {
-            return request.cookies.getAll();
-          },
-          setAll(cookiesToSet) {
-            cookiesToSet.forEach(({ name, value, options }) =>
-              request.cookies.set(name, value),
-            );
-            supabaseResponse = NextResponse.next({
-              request,
+    const supabase = createServerClient(supabaseUrl, supabaseKey, {
+      cookies: {
+        getAll() {
+          return request.cookies.getAll();
+        },
+        setAll(cookiesToSet) {
+          cookiesToSet.forEach(({ name, value }) =>
+            request.cookies.set(name, value),
+          );
+          supabaseResponse = NextResponse.next({
+            request,
+          });
+          cookiesToSet.forEach(({ name, value, options }) => {
+            supabaseResponse.cookies.set(name, value, {
+              ...options,
+              ...getCookieSettings(),
             });
-            cookiesToSet.forEach(({ name, value, options }) =>
-              supabaseResponse.cookies.set(name, value, options),
-            );
-          },
+          });
         },
       },
-    );
+    });
+
+    const userResponse = await supabase.auth.getUser();
+    const user = userResponse.data.user;
+    const userRole = user?.role;
+
+    const url = request.nextUrl.clone();
+    const pathname = request.nextUrl.pathname;
 
     // IMPORTANT: Avoid writing any logic between createServerClient and
     // supabase.auth.getUser(). A simple mistake could make it very hard to debug
     // issues with users being randomly logged out.
 
-    const {
-      data: { user },
-      error,
-    } = await supabase.auth.getUser();
-
-    // Get the user role
-    const userRole = user?.role;
-    const url = request.nextUrl.clone();
-    const pathname = request.nextUrl.pathname;
     // AUTH REDIRECTS
-    // If not logged in and trying to access a protected page, redirect to login
-    if (
-      (!user &&
-        PROTECTED_PAGES.some((page) => {
-          const combinedPath = `${page}`;
-          // console.log("Checking pathname:", request.nextUrl.pathname, "against:", combinedPath);
-          return request.nextUrl.pathname.startsWith(combinedPath);
-        })) ||
-      ADMIN_PAGES.some((page) => {
-        const combinedPath = `${page}`;
-        // console.log("Checking pathname:", request.nextUrl.pathname, "against:", combinedPath);
-        return request.nextUrl.pathname.startsWith(combinedPath);
-      })
-    ) {
-      // no user, potentially respond by redirecting the user to the login page
-      url.pathname = `/login`;
-      return NextResponse.redirect(url);
+    // 1. Check if user is not authenticated but trying to access protected content
+    if (!user) {
+      const attemptingProtectedPage = isProtectedPage(pathname);
+      const attemptingAdminPage = isAdminPage(pathname);
+
+      if (attemptingProtectedPage || attemptingAdminPage) {
+        url.pathname = "/login";
+        return NextResponse.redirect(url);
+      }
     }
-    if (
-      user &&
-      userRole != "admin" &&
-      ADMIN_PAGES.some((page) => request.nextUrl.pathname.startsWith(`${page}`))
-    ) {
-      // no user, potentially respond by redirecting the user to the login page
-      url.pathname = `/store`;
+
+    // 2. Check if user is authenticated but lacks admin role when accessing admin pages
+    if (user && userRole !== "admin" && isAdminPage(pathname)) {
+      url.pathname = "/marketplace";
       return NextResponse.redirect(url);
     }
 
diff --git a/autogpt_platform/frontend/src/lib/supabase/server/getServerSupabase.ts b/autogpt_platform/frontend/src/lib/supabase/server/getServerSupabase.ts
new file mode 100644
index 000000000000..0faa8ec9b8e1
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/supabase/server/getServerSupabase.ts
@@ -0,0 +1,44 @@
+import { createServerClient, type CookieOptions } from "@supabase/ssr";
+import { getCookieSettings } from "../helpers";
+import { getSupabaseUrl, getSupabaseAnonKey } from "../../env-config";
+
+type Cookies = { name: string; value: string; options?: CookieOptions }[];
+
+export async function getServerSupabase() {
+  // Need require here, so Next.js doesn't complain about importing this on client side
+  // eslint-disable-next-line @typescript-eslint/no-require-imports
+  const { cookies } = require("next/headers");
+  const cookieStore = await cookies();
+
+  try {
+    const supabase = createServerClient(
+      getSupabaseUrl(),
+      getSupabaseAnonKey(),
+      {
+        cookies: {
+          getAll() {
+            return cookieStore.getAll();
+          },
+          setAll(cookiesToSet: Cookies) {
+            try {
+              cookiesToSet.forEach(({ name, value, options }) => {
+                cookieStore.set(name, value, {
+                  ...options,
+                  ...getCookieSettings(),
+                });
+              });
+            } catch {
+              // The `setAll` method was called from a Server Component.
+              // This can be ignored if you have middleware refreshing
+              // user sessions.
+            }
+          },
+        },
+      },
+    );
+
+    return supabase;
+  } catch (error) {
+    throw error;
+  }
+}
diff --git a/autogpt_platform/frontend/src/lib/supabase/getServerUser.ts b/autogpt_platform/frontend/src/lib/supabase/server/getServerUser.ts
similarity index 82%
rename from autogpt_platform/frontend/src/lib/supabase/getServerUser.ts
rename to autogpt_platform/frontend/src/lib/supabase/server/getServerUser.ts
index d46cd8b85ca6..c8fc3e2b227e 100644
--- a/autogpt_platform/frontend/src/lib/supabase/getServerUser.ts
+++ b/autogpt_platform/frontend/src/lib/supabase/server/getServerUser.ts
@@ -1,7 +1,7 @@
-import getServerSupabase from "./getServerSupabase";
+import { getServerSupabase } from "./getServerSupabase";
 
-const getServerUser = async () => {
-  const supabase = getServerSupabase();
+export async function getServerUser() {
+  const supabase = await getServerSupabase();
 
   if (!supabase) {
     return { user: null, error: "Failed to create Supabase client" };
@@ -10,7 +10,6 @@ const getServerUser = async () => {
   try {
     const {
       data: { user },
-      error,
     } = await supabase.auth.getUser();
     // if (error) {
     //   // FIX: Suppressing error for now. Need to stop the nav bar calling this all the time
@@ -30,6 +29,4 @@ const getServerUser = async () => {
       error: `Unexpected error: ${(error as Error).message}`,
     };
   }
-};
-
-export default getServerUser;
+}
diff --git a/autogpt_platform/frontend/src/lib/timezone-utils.ts b/autogpt_platform/frontend/src/lib/timezone-utils.ts
new file mode 100644
index 000000000000..e974fa742352
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/timezone-utils.ts
@@ -0,0 +1,115 @@
+/**
+ * Utility functions for timezone conversions and display
+ */
+
+/**
+ * Format a date/time in the user's timezone with timezone indicator
+ * @param date - The date to format (can be string or Date)
+ * @param timezone - The IANA timezone identifier (e.g., "America/New_York")
+ * @param options - Intl.DateTimeFormat options
+ * @returns Formatted date string with timezone
+ */
+export function formatInTimezone(
+  date: string | Date,
+  timezone: string,
+  options?: Intl.DateTimeFormatOptions,
+): string {
+  const dateObj = typeof date === "string" ? new Date(date) : date;
+
+  const defaultOptions: Intl.DateTimeFormatOptions = {
+    year: "numeric",
+    month: "short",
+    day: "numeric",
+    hour: "2-digit",
+    minute: "2-digit",
+    timeZoneName: "short",
+    ...options,
+  };
+
+  try {
+    return new Intl.DateTimeFormat("en-US", {
+      ...defaultOptions,
+      timeZone: timezone === "not-set" ? undefined : timezone,
+    }).format(dateObj);
+  } catch {
+    // Fallback to local timezone if invalid timezone
+    console.warn(`Invalid timezone "${timezone}", using local timezone`);
+    return new Intl.DateTimeFormat("en-US", defaultOptions).format(dateObj);
+  }
+}
+
+/**
+ * Get the timezone abbreviation (e.g., "EST", "PST")
+ * @param timezone - The IANA timezone identifier
+ * @returns Timezone abbreviation
+ */
+export function getTimezoneAbbreviation(timezone: string): string {
+  if (timezone === "not-set" || !timezone) {
+    return "";
+  }
+
+  try {
+    const date = new Date();
+    const formatted = new Intl.DateTimeFormat("en-US", {
+      timeZone: timezone,
+      timeZoneName: "short",
+    }).format(date);
+
+    // Extract the timezone abbreviation from the formatted string
+    const match = formatted.match(/[A-Z]{2,5}$/);
+    return match ? match[0] : timezone;
+  } catch {
+    return timezone;
+  }
+}
+
+/**
+ * Format time for schedule display with timezone context
+ * @param nextRunTime - The next run time (UTC)
+ * @param displayTimezone - The timezone to display the time in (typically user's timezone)
+ * @returns Formatted string in the specified timezone
+ */
+export function formatScheduleTime(
+  nextRunTime: string | Date,
+  displayTimezone: string,
+): string {
+  const date =
+    typeof nextRunTime === "string" ? new Date(nextRunTime) : nextRunTime;
+
+  // Use provided timezone for display, fallback to UTC
+  const timezone = displayTimezone || "UTC";
+  const formatted = formatInTimezone(date, timezone, {
+    month: "short",
+    day: "numeric",
+    hour: "2-digit",
+    minute: "2-digit",
+    timeZoneName: "short",
+  });
+
+  return formatted;
+}
+
+/**
+ * Get a human-readable timezone name
+ * @param timezone - IANA timezone identifier
+ * @returns Human-readable name
+ */
+export function getTimezoneDisplayName(timezone: string): string {
+  if (timezone === "not-set") {
+    return "Not set";
+  }
+
+  if (timezone === "UTC") {
+    return "UTC";
+  }
+
+  // Convert America/New_York to "New York (EST)"
+  try {
+    const parts = timezone.split("/");
+    const city = parts[parts.length - 1].replace(/_/g, " ");
+    const abbr = getTimezoneAbbreviation(timezone);
+    return abbr ? `${city} (${abbr})` : city;
+  } catch {
+    return timezone;
+  }
+}
diff --git a/autogpt_platform/frontend/src/lib/turnstile.ts b/autogpt_platform/frontend/src/lib/turnstile.ts
new file mode 100644
index 000000000000..976348c71333
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/turnstile.ts
@@ -0,0 +1,45 @@
+/**
+ * Utility functions for working with Cloudflare Turnstile
+ */
+import { BehaveAs, getBehaveAs } from "@/lib/utils";
+import { getAgptServerApiUrl } from "@/lib/env-config";
+
+export async function verifyTurnstileToken(
+  token: string,
+  action?: string,
+): Promise<boolean> {
+  // Skip verification unless explicitly enabled via environment variable
+  if (process.env.NEXT_PUBLIC_TURNSTILE !== "enabled") {
+    return true;
+  }
+
+  // Skip verification in local development
+  const behaveAs = getBehaveAs();
+  if (behaveAs !== BehaveAs.CLOUD) {
+    return true;
+  }
+
+  try {
+    const response = await fetch(`${getAgptServerApiUrl()}/turnstile/verify`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        token,
+        action,
+      }),
+    });
+
+    if (!response.ok) {
+      console.error("Turnstile verification failed:", await response.text());
+      return false;
+    }
+
+    const data = await response.json();
+    return data.success === true;
+  } catch (error) {
+    console.error("Error verifying Turnstile token:", error);
+    return false;
+  }
+}
diff --git a/autogpt_platform/frontend/src/lib/utils.ts b/autogpt_platform/frontend/src/lib/utils.ts
index 5111198776db..003a89a11899 100644
--- a/autogpt_platform/frontend/src/lib/utils.ts
+++ b/autogpt_platform/frontend/src/lib/utils.ts
@@ -1,6 +1,8 @@
 import { type ClassValue, clsx } from "clsx";
+import { isEmpty as _isEmpty } from "lodash";
 import { twMerge } from "tailwind-merge";
-import { Category } from "./autogpt-server-api/types";
+
+import { Category } from "@/lib/autogpt-server-api/types";
 import { NodeDimension } from "@/components/Flow";
 
 export function cn(...inputs: ClassValue[]) {
@@ -22,7 +24,7 @@ export function hashString(str: string): number {
 
 /** Derived from https://stackoverflow.com/a/32922084 */
 export function deepEquals(x: any, y: any): boolean {
-  const ok = Object.keys,
+  const ok = (obj: any) => Object.keys(obj).filter((key) => obj[key] !== null),
     tx = typeof x,
     ty = typeof y;
 
@@ -226,13 +228,6 @@ export function getPrimaryCategoryColor(categories: Category[]): string {
   );
 }
 
-export function filterBlocksByType<T>(
-  blocks: T[],
-  predicate: (block: T) => boolean,
-): T[] {
-  return blocks.filter(predicate);
-}
-
 export enum BehaveAs {
   CLOUD = "CLOUD",
   LOCAL = "LOCAL",
@@ -244,6 +239,25 @@ export function getBehaveAs(): BehaveAs {
     : BehaveAs.LOCAL;
 }
 
+export enum AppEnv {
+  LOCAL = "local",
+  DEV = "dev",
+  PROD = "prod",
+}
+
+export function getAppEnv(): AppEnv {
+  const env = process.env.NEXT_PUBLIC_APP_ENV;
+  if (env === "dev") return AppEnv.DEV;
+  if (env === "prod") return AppEnv.PROD;
+  // Some places use prod and others production
+  if (env === "production") return AppEnv.PROD;
+  return AppEnv.LOCAL;
+}
+
+export function getEnvironmentStr(): string {
+  return `app:${getAppEnv().toLowerCase()}-behave:${getBehaveAs().toLowerCase()}`;
+}
+
 function rectanglesOverlap(
   rect1: { x: number; y: number; width: number; height?: number },
   rect2: { x: number; y: number; width: number; height?: number },
@@ -371,3 +385,21 @@ export function getValue(key: string, value: any) {
     return acc[k.key];
   }, value);
 }
+
+/** Check if a string is empty or whitespace */
+export function isEmptyOrWhitespace(str: string | undefined | null): boolean {
+  return !str || str.trim().length === 0;
+}
+
+export function isEmpty(value: any): boolean {
+  return (
+    value === undefined ||
+    value === "" ||
+    (typeof value === "object" && _isEmpty(value))
+  );
+}
+
+/** Check if a value is an object or not */
+export function isObject(value: unknown): value is Record<string, unknown> {
+  return typeof value === "object" && value !== null && !Array.isArray(value);
+}
diff --git a/autogpt_platform/frontend/src/lib/utils/is-server-side.ts b/autogpt_platform/frontend/src/lib/utils/is-server-side.ts
new file mode 100644
index 000000000000..ec6f6bde6033
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/utils/is-server-side.ts
@@ -0,0 +1,3 @@
+export const isServerSide = (): boolean => {
+  return typeof window === "undefined";
+};
diff --git a/autogpt_platform/frontend/src/lib/utils/time.ts b/autogpt_platform/frontend/src/lib/utils/time.ts
new file mode 100644
index 000000000000..e8d04e75a54b
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/utils/time.ts
@@ -0,0 +1,19 @@
+const MILLISECONDS_PER_SECOND = 1000;
+const SECONDS_PER_MINUTE = 60;
+const MINUTES_PER_HOUR = 60;
+const HOURS_PER_DAY = 24;
+const MILLISECONDS_PER_MINUTE = SECONDS_PER_MINUTE * MILLISECONDS_PER_SECOND;
+
+export function formatTimeAgo(dateStr: string): string {
+  const date = new Date(dateStr);
+  const now = new Date();
+  const diffMs = now.getTime() - date.getTime();
+  const diffMins = Math.floor(diffMs / MILLISECONDS_PER_MINUTE);
+
+  if (diffMins < 1) return "just now";
+  if (diffMins < SECONDS_PER_MINUTE) return `${diffMins}m ago`;
+  const diffHours = Math.floor(diffMins / MINUTES_PER_HOUR);
+  if (diffHours < HOURS_PER_DAY) return `${diffHours}h ago`;
+  const diffDays = Math.floor(diffHours / HOURS_PER_DAY);
+  return `${diffDays}d ago`;
+}
diff --git a/autogpt_platform/frontend/src/lib/utils/url.ts b/autogpt_platform/frontend/src/lib/utils/url.ts
new file mode 100644
index 000000000000..f8196034d751
--- /dev/null
+++ b/autogpt_platform/frontend/src/lib/utils/url.ts
@@ -0,0 +1,16 @@
+/**
+ * Extracts the hostname from a URL string.
+ * @param url - The URL string to extract the hostname from
+ * @returns The hostname if valid, null if invalid
+ */
+export const getHostFromUrl = (url: string): string | null => {
+  try {
+    if (!url.startsWith("http://") && !url.startsWith("https://")) {
+      url = "http://" + url; // Add a scheme if missing for URL parsing
+    }
+    const urlObj = new URL(url);
+    return urlObj.hostname;
+  } catch {
+    return null;
+  }
+};
diff --git a/autogpt_platform/frontend/src/lib/withRoleAccess.ts b/autogpt_platform/frontend/src/lib/withRoleAccess.ts
index fdf59a0cfc52..7b63253c56d7 100644
--- a/autogpt_platform/frontend/src/lib/withRoleAccess.ts
+++ b/autogpt_platform/frontend/src/lib/withRoleAccess.ts
@@ -1,14 +1,20 @@
 import React from "react";
 import * as Sentry from "@sentry/nextjs";
+import { redirect } from "next/navigation";
+import { getServerUser } from "./supabase/server/getServerUser";
 
 export async function withRoleAccess(allowedRoles: string[]) {
-  console.log("withRoleAccess called:", allowedRoles);
-  ("use server");
+  "use server";
   return await Sentry.withServerActionInstrumentation(
     "withRoleAccess",
     {},
     async () => {
       return async function <T extends React.ComponentType<any>>(Component: T) {
+        const { user, role, error } = await getServerUser();
+
+        if (error || !user || !role || !allowedRoles.includes(role)) {
+          redirect("/unauthorized");
+        }
         return Component;
       };
     },
diff --git a/autogpt_platform/frontend/src/services/feature-flags/feature-flag-provider.tsx b/autogpt_platform/frontend/src/services/feature-flags/feature-flag-provider.tsx
new file mode 100644
index 000000000000..9a3fdfd52a0d
--- /dev/null
+++ b/autogpt_platform/frontend/src/services/feature-flags/feature-flag-provider.tsx
@@ -0,0 +1,53 @@
+"use client";
+
+import { LDProvider } from "launchdarkly-react-client-sdk";
+import type { ReactNode } from "react";
+import { useMemo } from "react";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { BehaveAs, getBehaveAs } from "@/lib/utils";
+
+const clientId = process.env.NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID;
+const envEnabled = process.env.NEXT_PUBLIC_LAUNCHDARKLY_ENABLED === "true";
+
+export function LaunchDarklyProvider({ children }: { children: ReactNode }) {
+  const { user, isUserLoading } = useSupabase();
+  const isCloud = getBehaveAs() === BehaveAs.CLOUD;
+  const isLaunchDarklyConfigured = isCloud && envEnabled && clientId;
+
+  const context = useMemo(() => {
+    if (isUserLoading || !user) {
+      return {
+        kind: "user" as const,
+        key: "anonymous",
+        anonymous: true,
+      };
+    }
+
+    return {
+      kind: "user" as const,
+      key: user.id,
+      ...(user.email && { email: user.email }),
+      anonymous: false,
+      custom: {
+        ...(user.role && { role: user.role }),
+      },
+    };
+  }, [user, isUserLoading]);
+
+  if (!isLaunchDarklyConfigured) {
+    return <>{children}</>;
+  }
+
+  return (
+    <LDProvider
+      // Add this key prop. It will be 'anonymous' when logged out,
+      key={context.key}
+      clientSideID={clientId}
+      context={context}
+      reactOptions={{ useCamelCaseFlagKeys: false }}
+      options={{ bootstrap: "localStorage" }}
+    >
+      {children}
+    </LDProvider>
+  );
+}
diff --git a/autogpt_platform/frontend/src/services/feature-flags/use-get-flag.ts b/autogpt_platform/frontend/src/services/feature-flags/use-get-flag.ts
new file mode 100644
index 000000000000..6f4b38156785
--- /dev/null
+++ b/autogpt_platform/frontend/src/services/feature-flags/use-get-flag.ts
@@ -0,0 +1,36 @@
+"use client";
+
+import { useFlags } from "launchdarkly-react-client-sdk";
+
+export enum Flag {
+  BETA_BLOCKS = "beta-blocks",
+  AGENT_ACTIVITY = "agent-activity",
+  NEW_BLOCK_MENU = "new-block-menu",
+  NEW_AGENT_RUNS = "new-agent-runs",
+}
+
+export type FlagValues = {
+  [Flag.BETA_BLOCKS]: string[];
+  [Flag.AGENT_ACTIVITY]: boolean;
+  [Flag.NEW_BLOCK_MENU]: boolean;
+  [Flag.NEW_AGENT_RUNS]: boolean;
+};
+
+const isTest = process.env.NEXT_PUBLIC_PW_TEST === "true";
+
+const mockFlags = {
+  [Flag.BETA_BLOCKS]: [],
+  [Flag.AGENT_ACTIVITY]: true,
+  [Flag.NEW_BLOCK_MENU]: false,
+  [Flag.NEW_AGENT_RUNS]: false,
+};
+
+export function useGetFlag<T extends Flag>(flag: T): FlagValues[T] | null {
+  const currentFlags = useFlags<FlagValues>();
+  const flagValue = currentFlags[flag];
+
+  if (isTest) return mockFlags[flag];
+  if (!flagValue) return null;
+
+  return flagValue;
+}
diff --git a/autogpt_platform/frontend/src/components/feature-flag/with-feature-flag.tsx b/autogpt_platform/frontend/src/services/feature-flags/with-feature-flag.tsx
similarity index 100%
rename from autogpt_platform/frontend/src/components/feature-flag/with-feature-flag.tsx
rename to autogpt_platform/frontend/src/services/feature-flags/with-feature-flag.tsx
diff --git a/autogpt_platform/frontend/src/services/storage/local-storage.ts b/autogpt_platform/frontend/src/services/storage/local-storage.ts
new file mode 100644
index 000000000000..d197da2ac3c8
--- /dev/null
+++ b/autogpt_platform/frontend/src/services/storage/local-storage.ts
@@ -0,0 +1,44 @@
+import { isServerSide } from "@/lib/utils/is-server-side";
+import * as Sentry from "@sentry/nextjs";
+
+export enum Key {
+  LOGOUT = "supabase-logout",
+  WEBSOCKET_DISCONNECT_INTENT = "websocket-disconnect-intent",
+  COPIED_FLOW_DATA = "copied-flow-data",
+  SHEPHERD_TOUR = "shepherd-tour",
+}
+
+function get(key: Key) {
+  if (isServerSide()) {
+    Sentry.captureException(new Error("Local storage is not available"));
+    return;
+  }
+  try {
+    return window.localStorage.getItem(key);
+  } catch {
+    // Fine, just return undefined not always items will be set on local storage
+    return;
+  }
+}
+
+function set(key: Key, value: string) {
+  if (isServerSide()) {
+    Sentry.captureException(new Error("Local storage is not available"));
+    return;
+  }
+  return window.localStorage.setItem(key, value);
+}
+
+function clean(key: Key) {
+  if (isServerSide()) {
+    Sentry.captureException(new Error("Local storage is not available"));
+    return;
+  }
+  return window.localStorage.removeItem(key);
+}
+
+export const storage = {
+  clean,
+  get,
+  set,
+};
diff --git a/autogpt_platform/frontend/src/stories/Button.stories.ts b/autogpt_platform/frontend/src/stories/Button.stories.ts
deleted file mode 100644
index 83765401bca6..000000000000
--- a/autogpt_platform/frontend/src/stories/Button.stories.ts
+++ /dev/null
@@ -1,60 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { fn } from "@storybook/test";
-
-import { Button } from "./Button";
-
-// More on how to set up stories at: https://storybook.js.org/docs/writing-stories#default-export
-const meta = {
-  title: "Example/Button",
-  component: Button,
-  parameters: {
-    // Optional parameter to center the component in the Canvas. More info: https://storybook.js.org/docs/configure/story-layout
-    layout: "centered",
-  },
-  // This component will have an automatically generated Autodocs entry: https://storybook.js.org/docs/writing-docs/autodocs
-  tags: ["autodocs"],
-  // More on argTypes: https://storybook.js.org/docs/api/argtypes
-  argTypes: {
-    backgroundColor: { control: "color" },
-  },
-  // Use `fn` to spy on the onClick arg, which will appear in the actions panel once invoked: https://storybook.js.org/docs/essentials/actions#action-args
-  args: { onClick: fn() },
-} satisfies Meta<typeof Button>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-// More on writing stories with args: https://storybook.js.org/docs/writing-stories/args
-export const Primary: Story = {
-  args: {
-    primary: true,
-    label: "Button",
-  },
-};
-
-export const Secondary: Story = {
-  args: {
-    label: "Button",
-  },
-};
-
-export const Large: Story = {
-  args: {
-    size: "large",
-    label: "Button",
-  },
-};
-
-export const Small: Story = {
-  args: {
-    size: "small",
-    label: "Button",
-  },
-};
-
-export const NotPrimaryButton: Story = {
-  args: {
-    primary: false,
-    label: "Button",
-  },
-};
diff --git a/autogpt_platform/frontend/src/stories/Button.tsx b/autogpt_platform/frontend/src/stories/Button.tsx
deleted file mode 100644
index 82938485245e..000000000000
--- a/autogpt_platform/frontend/src/stories/Button.tsx
+++ /dev/null
@@ -1,45 +0,0 @@
-import React from "react";
-
-import "./button.css";
-
-export interface ButtonProps {
-  /** Is this the principal call to action on the page? */
-  primary?: boolean;
-  /** What background color to use */
-  backgroundColor?: string;
-  /** How large should the button be? */
-  size?: "small" | "medium" | "large";
-  /** Button contents */
-  label: string;
-  /** Optional click handler */
-  onClick?: () => void;
-}
-
-/** Primary UI component for user interaction */
-export const Button = ({
-  primary = false,
-  size = "medium",
-  backgroundColor,
-  label,
-  ...props
-}: ButtonProps) => {
-  const mode = primary
-    ? "storybook-button--primary"
-    : "storybook-button--secondary";
-  return (
-    <button
-      type="button"
-      className={["storybook-button", `storybook-button--${size}`, mode].join(
-        " ",
-      )}
-      {...props}
-    >
-      {label}
-      <style jsx>{`
-        button {
-          background-color: ${backgroundColor};
-        }
-      `}</style>
-    </button>
-  );
-};
diff --git a/autogpt_platform/frontend/src/stories/Configure.mdx b/autogpt_platform/frontend/src/stories/Configure.mdx
deleted file mode 100644
index 05071a3c29a0..000000000000
--- a/autogpt_platform/frontend/src/stories/Configure.mdx
+++ /dev/null
@@ -1,451 +0,0 @@
-import { Meta } from "@storybook/blocks";
-import Image from "next/image";
-
-import Github from "./assets/github.svg";
-import Discord from "./assets/discord.svg";
-import Youtube from "./assets/youtube.svg";
-import Tutorials from "./assets/tutorials.svg";
-import Styling from "./assets/styling.png";
-import Context from "./assets/context.png";
-import Assets from "./assets/assets.png";
-import Docs from "./assets/docs.png";
-import Share from "./assets/share.png";
-import FigmaPlugin from "./assets/figma-plugin.png";
-import Testing from "./assets/testing.png";
-import Accessibility from "./assets/accessibility.png";
-import Theming from "./assets/theming.png";
-import AddonLibrary from "./assets/addon-library.png";
-
-export const RightArrow = () => (
-  <svg
-    viewBox="0 0 14 14"
-    width="8px"
-    height="14px"
-    style={{
-      marginLeft: "4px",
-      display: "inline-block",
-      shapeRendering: "inherit",
-      verticalAlign: "middle",
-      fill: "currentColor",
-      "path fill": "currentColor",
-    }}
-  >
-    <path d="m11.1 7.35-5.5 5.5a.5.5 0 0 1-.7-.7L10.04 7 4.9 1.85a.5.5 0 1 1 .7-.7l5.5 5.5c.2.2.2.5 0 .7Z" />
-  </svg>
-);
-
-<Meta title="Configure your project" />
-
-<div className="sb-container">
-  <div className='sb-section-title'>
-    # Configure your project
-
-    Because Storybook works separately from your app, you'll need to configure it for your specific stack and setup. Below, explore guides for configuring Storybook with popular frameworks and tools. If you get stuck, learn how you can ask for help from our community.
-
-  </div>
-  <div className="sb-section">
-    <div className="sb-section-item">
-      <Image
-        src={Styling}
-        alt="A wall of logos representing different styling technologies"
-        width={0}
-        height={0}
-        style={{ width: '100%', height: 'auto' }}
-      />
-      <h4 className="sb-section-item-heading">Add styling and CSS</h4>
-      <p className="sb-section-item-paragraph">Like with web applications, there are many ways to include CSS within Storybook. Learn more about setting up styling within Storybook.</p>
-      <a
-        href="https://storybook.js.org/docs/configure/styling-and-css/?renderer=react"
-        target="_blank"
-      >Learn more<RightArrow /></a>
-    </div>
-    <div className="sb-section-item">
-      <Image 
-        width={0}
-        height={0}
-        style={{ width: '100%', height: 'auto' }}
-        src={Context}
-        alt="An abstraction representing the composition of data for a component"
-      />
-      <h4 className="sb-section-item-heading">Provide context and mocking</h4>
-      <p className="sb-section-item-paragraph">Often when a story doesn't render, it's because your component is expecting a specific environment or context (like a theme provider) to be available.</p>
-      <a
-        href="https://storybook.js.org/docs/writing-stories/decorators/?renderer=react#context-for-mocking"
-        target="_blank"
-      >Learn more<RightArrow /></a>
-    </div>
-    <div className="sb-section-item">
-      <Image 
-        width={0}
-        height={0}
-        style={{ width: '100%', height: 'auto' }} 
-        src={Assets} 
-        alt="A representation of typography and image assets" 
-      />
-      <div>
-        <h4 className="sb-section-item-heading">Load assets and resources</h4>
-        <p className="sb-section-item-paragraph">To link static files (like fonts) to your projects and stories, use the
-        `staticDirs` configuration option to specify folders to load when
-        starting Storybook.</p>
-        <a
-          href="https://storybook.js.org/docs/configure/images-and-assets/?renderer=react"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-    </div>
-  </div>
-</div>
-<div className="sb-container">
-  <div className='sb-section-title'>
-    # Do more with Storybook
-
-    Now that you know the basics, let's explore other parts of Storybook that will improve your experience. This list is just to get you started. You can customise Storybook in many ways to fit your needs.
-
-  </div>
-
-  <div className="sb-section">
-    <div className="sb-features-grid">
-      <div className="sb-grid-item">
-        <Image 
-          width={0}
-          height={0}
-          style={{ width: '100%', height: 'auto' }} 
-          src={Docs} 
-          alt="A screenshot showing the autodocs tag being set, pointing a docs page being generated" 
-        />
-        <h4 className="sb-section-item-heading">Autodocs</h4>
-        <p className="sb-section-item-paragraph">Auto-generate living,
-          interactive reference documentation from your components and stories.</p>
-        <a
-          href="https://storybook.js.org/docs/writing-docs/autodocs/?renderer=react"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-      <div className="sb-grid-item">
-        <Image 
-          width={0}
-          height={0}
-          style={{ width: '100%', height: 'auto' }} 
-          src={Share} 
-          alt="A browser window showing a Storybook being published to a chromatic.com URL" 
-        />
-        <h4 className="sb-section-item-heading">Publish to Chromatic</h4>
-        <p className="sb-section-item-paragraph">Publish your Storybook to review and collaborate with your entire team.</p>
-        <a
-          href="https://storybook.js.org/docs/sharing/publish-storybook/?renderer=react#publish-storybook-with-chromatic"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-      <div className="sb-grid-item">
-        <Image 
-          width={0}
-          height={0}
-          style={{ width: '100%', height: 'auto' }} 
-          src={FigmaPlugin} 
-          alt="Windows showing the Storybook plugin in Figma" 
-        />
-        <h4 className="sb-section-item-heading">Figma Plugin</h4>
-        <p className="sb-section-item-paragraph">Embed your stories into Figma to cross-reference the design and live
-          implementation in one place.</p>
-        <a
-          href="https://storybook.js.org/docs/sharing/design-integrations/?renderer=react#embed-storybook-in-figma-with-the-plugin"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-      <div className="sb-grid-item">
-        <Image 
-          width={0}
-          height={0}
-          style={{ width: '100%', height: 'auto' }} 
-          src={Testing} 
-          alt="Screenshot of tests passing and failing" 
-        />
-        <h4 className="sb-section-item-heading">Testing</h4>
-        <p className="sb-section-item-paragraph">Use stories to test a component in all its variations, no matter how
-          complex.</p>
-        <a
-          href="https://storybook.js.org/docs/writing-tests/?renderer=react"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-      <div className="sb-grid-item">
-        <Image 
-          width={0}
-          height={0}
-          style={{ width: '100%', height: 'auto' }} 
-          src={Accessibility} 
-          alt="Screenshot of accessibility tests passing and failing" 
-        />
-        <h4 className="sb-section-item-heading">Accessibility</h4>
-        <p className="sb-section-item-paragraph">Automatically test your components for a11y issues as you develop.</p>
-        <a
-          href="https://storybook.js.org/docs/writing-tests/accessibility-testing/?renderer=react"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-      <div className="sb-grid-item">
-        <Image 
-          width={0}
-          height={0}
-          style={{ width: '100%', height: 'auto' }} 
-          src={Theming} 
-          alt="Screenshot of Storybook in light and dark mode" 
-        />
-        <h4 className="sb-section-item-heading">Theming</h4>
-        <p className="sb-section-item-paragraph">Theme Storybook's UI to personalize it to your project.</p>
-        <a
-          href="https://storybook.js.org/docs/configure/theming/?renderer=react"
-          target="_blank"
-        >Learn more<RightArrow /></a>
-      </div>
-    </div>
-  </div>
-</div>
-<div className='sb-addon'>
-  <div className='sb-addon-text'>
-    <h4>Addons</h4>
-    <p className="sb-section-item-paragraph">Integrate your tools with Storybook to connect workflows.</p>
-    <a
-        href="https://storybook.js.org/addons/"
-        target="_blank"
-      >Discover all addons<RightArrow /></a>
-  </div>
-  <div className='sb-addon-img'>
-    <Image 
-      width={650}
-      height={347}
-      src={AddonLibrary} 
-      alt="Integrate your tools with Storybook to connect workflows." 
-    />
-  </div>
-</div>
-
-<div className="sb-section sb-socials">
-    <div className="sb-section-item">
-      <Image 
-        width={32}
-        height={32}
-        layout="fixed"
-        src={Github} 
-        alt="Github logo" 
-        className="sb-explore-image"
-      />
-      Join our contributors building the future of UI development.
-
-      <a
-        href="https://github.com/storybookjs/storybook"
-        target="_blank"
-      >Star on GitHub<RightArrow /></a>
-    </div>
-    <div className="sb-section-item">
-      <Image
-        width={33}
-        height={32}
-        layout="fixed"
-        src={Discord}
-        alt="Discord logo"
-        className="sb-explore-image"
-      />
-      <div>
-        Get support and chat with frontend developers.
-
-        <a
-          href="https://discord.gg/storybook"
-          target="_blank"
-        >Join Discord server<RightArrow /></a>
-      </div>
-    </div>
-    <div className="sb-section-item">
-      <Image
-        width={32}
-        height={32}
-        layout="fixed"
-        src={Youtube}
-        alt="Youtube logo"
-        className="sb-explore-image"
-      />
-      <div>
-        Watch tutorials, feature previews and interviews.
-
-        <a
-          href="https://www.youtube.com/@chromaticui"
-          target="_blank"
-        >Watch on YouTube<RightArrow /></a>
-      </div>
-    </div>
-    <div className="sb-section-item">
-      <Image
-        width={33}
-        height={32}
-        layout="fixed"
-        src={Tutorials}
-        alt="A book"
-        className="sb-explore-image"
-      />
-      <p>Follow guided walkthroughs on for key workflows.</p>
-
-      <a
-          href="https://storybook.js.org/tutorials/"
-          target="_blank"
-        >Discover tutorials<RightArrow /></a>
-    </div>
-
-</div>
-
-<style>
-  {`
-  .sb-container {
-    margin-bottom: 48px;
-  }
-
-  .sb-section {
-    width: 100%;
-    display: flex;
-    flex-direction: row;
-    gap: 20px;
-  }
-
-  img {
-    object-fit: cover;
-  }
-
-  .sb-section-title {
-    margin-bottom: 32px;
-  }
-
-  .sb-section a:not(h1 a, h2 a, h3 a) {
-    font-size: 14px;
-  }
-
-  .sb-section-item, .sb-grid-item {
-    flex: 1;
-    display: flex;
-    flex-direction: column;
-  }
-
-  .sb-section-item-heading {
-    padding-top: 20px !important;
-    padding-bottom: 5px !important;
-    margin: 0 !important;
-  }
-  .sb-section-item-paragraph {
-    margin: 0;
-    padding-bottom: 10px;
-  }
-
-  .sb-chevron {
-    margin-left: 5px;
-  }
-
-  .sb-features-grid {
-    display: grid;
-    grid-template-columns: repeat(2, 1fr);
-    grid-gap: 32px 20px;
-  }
-
-  .sb-socials {
-    display: grid;
-    grid-template-columns: repeat(4, 1fr);
-  }
-
-  .sb-socials p {
-    margin-bottom: 10px;
-  }
-
-  .sb-explore-image {
-    max-height: 32px;
-    align-self: flex-start;
-  }
-
-  .sb-addon {
-    width: 100%;
-    display: flex;
-    align-items: center;
-    position: relative;
-    background-color: #EEF3F8;
-    border-radius: 5px;
-    border: 1px solid rgba(0, 0, 0, 0.05);
-    background: #EEF3F8;
-    height: 180px;
-    margin-bottom: 48px;
-    overflow: hidden;
-  }
-
-  .sb-addon-text {
-    padding-left: 48px;
-    max-width: 240px;
-  }
-
-  .sb-addon-text h4 {
-    padding-top: 0px;
-  }
-
-  .sb-addon-img {
-    position: absolute;
-    left: 345px;
-    top: 0;
-    height: 100%;
-    width: 200%;
-    overflow: hidden;
-  }
-
-  .sb-addon-img img {
-    width: 650px;
-    transform: rotate(-15deg);
-    margin-left: 40px;
-    margin-top: -72px;
-    box-shadow: 0 0 1px rgba(255, 255, 255, 0);
-    backface-visibility: hidden;
-  }
-
-  @media screen and (max-width: 800px) {
-    .sb-addon-img {
-      left: 300px;
-    }
-  }
-
-  @media screen and (max-width: 600px) {
-    .sb-section {
-      flex-direction: column;
-    }
-
-    .sb-features-grid {
-      grid-template-columns: repeat(1, 1fr);
-    }
-
-    .sb-socials {
-      grid-template-columns: repeat(2, 1fr);
-    }
-
-    .sb-addon {
-      height: 280px;
-      align-items: flex-start;
-      padding-top: 32px;
-      overflow: hidden;
-    }
-
-    .sb-addon-text {
-      padding-left: 24px;
-    }
-
-    .sb-addon-img {
-      right: 0;
-      left: 0;
-      top: 130px;
-      bottom: 0;
-      overflow: hidden;
-      height: auto;
-      width: 124%;
-    }
-
-    .sb-addon-img img {
-      width: 1200px;
-      transform: rotate(-12deg);
-      margin-left: 0;
-      margin-top: 48px;
-      margin-bottom: -40px;
-      margin-left: -24px;
-    }
-  }
-  `}
-</style>
diff --git a/autogpt_platform/frontend/src/stories/Header.stories.ts b/autogpt_platform/frontend/src/stories/Header.stories.ts
deleted file mode 100644
index eb3e27757b4d..000000000000
--- a/autogpt_platform/frontend/src/stories/Header.stories.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { fn } from "@storybook/test";
-
-import { Header } from "./Header";
-
-const meta = {
-  title: "Example/Header",
-  component: Header,
-  // This component will have an automatically generated Autodocs entry: https://storybook.js.org/docs/writing-docs/autodocs
-  tags: ["autodocs"],
-  parameters: {
-    // More on how to position stories at: https://storybook.js.org/docs/configure/story-layout
-    layout: "fullscreen",
-  },
-  args: {
-    onLogin: fn(),
-    onLogout: fn(),
-    onCreateAccount: fn(),
-  },
-} satisfies Meta<typeof Header>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const LoggedIn: Story = {
-  args: {
-    user: {
-      name: "Jane Doe",
-    },
-  },
-};
-
-export const LoggedOut: Story = {};
diff --git a/autogpt_platform/frontend/src/stories/Header.tsx b/autogpt_platform/frontend/src/stories/Header.tsx
deleted file mode 100644
index 9b143daf9817..000000000000
--- a/autogpt_platform/frontend/src/stories/Header.tsx
+++ /dev/null
@@ -1,71 +0,0 @@
-import React from "react";
-
-import { Button } from "./Button";
-import "./header.css";
-
-type User = {
-  name: string;
-};
-
-export interface HeaderProps {
-  user?: User;
-  onLogin?: () => void;
-  onLogout?: () => void;
-  onCreateAccount?: () => void;
-}
-
-export const Header = ({
-  user,
-  onLogin,
-  onLogout,
-  onCreateAccount,
-}: HeaderProps) => (
-  <header>
-    <div className="storybook-header">
-      <div>
-        <svg
-          width="32"
-          height="32"
-          viewBox="0 0 32 32"
-          xmlns="http://www.w3.org/2000/svg"
-        >
-          <g fill="none" fillRule="evenodd">
-            <path
-              d="M10 0h12a10 10 0 0110 10v12a10 10 0 01-10 10H10A10 10 0 010 22V10A10 10 0 0110 0z"
-              fill="#FFF"
-            />
-            <path
-              d="M5.3 10.6l10.4 6v11.1l-10.4-6v-11zm11.4-6.2l9.7 5.5-9.7 5.6V4.4z"
-              fill="#555AB9"
-            />
-            <path
-              d="M27.2 10.6v11.2l-10.5 6V16.5l10.5-6zM15.7 4.4v11L6 10l9.7-5.5z"
-              fill="#91BAF8"
-            />
-          </g>
-        </svg>
-        <h1>Acme</h1>
-      </div>
-      <div>
-        {user ? (
-          <>
-            <span className="welcome">
-              Welcome, <b>{user.name}</b>!
-            </span>
-            <Button size="small" onClick={onLogout} label="Log out" />
-          </>
-        ) : (
-          <>
-            <Button size="small" onClick={onLogin} label="Log in" />
-            <Button
-              primary
-              size="small"
-              onClick={onCreateAccount}
-              label="Sign up"
-            />
-          </>
-        )}
-      </div>
-    </div>
-  </header>
-);
diff --git a/autogpt_platform/frontend/src/stories/Page.stories.ts b/autogpt_platform/frontend/src/stories/Page.stories.ts
deleted file mode 100644
index f5c5a0b38fad..000000000000
--- a/autogpt_platform/frontend/src/stories/Page.stories.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/react";
-import { expect, userEvent, within } from "@storybook/test";
-
-import { Page } from "./Page";
-
-const meta = {
-  title: "Example/Page",
-  component: Page,
-  parameters: {
-    // More on how to position stories at: https://storybook.js.org/docs/configure/story-layout
-    layout: "fullscreen",
-  },
-} satisfies Meta<typeof Page>;
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-export const LoggedOut: Story = {};
-
-// More on interaction testing: https://storybook.js.org/docs/writing-tests/interaction-testing
-export const LoggedIn: Story = {
-  play: async ({ canvasElement }) => {
-    const canvas = within(canvasElement);
-    const loginButton = canvas.getByRole("button", { name: /Log in/i });
-    await expect(loginButton).toBeInTheDocument();
-    await userEvent.click(loginButton);
-    await expect(loginButton).not.toBeInTheDocument();
-
-    const logoutButton = canvas.getByRole("button", { name: /Log out/i });
-    await expect(logoutButton).toBeInTheDocument();
-  },
-};
diff --git a/autogpt_platform/frontend/src/stories/Page.tsx b/autogpt_platform/frontend/src/stories/Page.tsx
deleted file mode 100644
index a294b193b850..000000000000
--- a/autogpt_platform/frontend/src/stories/Page.tsx
+++ /dev/null
@@ -1,91 +0,0 @@
-import React from "react";
-
-import { Header } from "./Header";
-import "./page.css";
-
-type User = {
-  name: string;
-};
-
-export const Page: React.FC = () => {
-  const [user, setUser] = React.useState<User>();
-
-  return (
-    <article>
-      <Header
-        user={user}
-        onLogin={() => setUser({ name: "Jane Doe" })}
-        onLogout={() => setUser(undefined)}
-        onCreateAccount={() => setUser({ name: "Jane Doe" })}
-      />
-
-      <section className="storybook-page">
-        <h2>Pages in Storybook</h2>
-        <p>
-          We recommend building UIs with a{" "}
-          <a
-            href="https://componentdriven.org"
-            target="_blank"
-            rel="noopener noreferrer"
-          >
-            <strong>component-driven</strong>
-          </a>{" "}
-          process starting with atomic components and ending with pages.
-        </p>
-        <p>
-          Render pages with mock data. This makes it easy to build and review
-          page states without needing to navigate to them in your app. Here are
-          some handy patterns for managing page data in Storybook:
-        </p>
-        <ul>
-          <li>
-            Use a higher-level connected component. Storybook helps you compose
-            such data from the &quot;args&quot; of child component stories
-          </li>
-          <li>
-            Assemble data in the page component from your services. You can mock
-            these services out using Storybook.
-          </li>
-        </ul>
-        <p>
-          Get a guided tutorial on component-driven development at{" "}
-          <a
-            href="https://storybook.js.org/tutorials/"
-            target="_blank"
-            rel="noopener noreferrer"
-          >
-            Storybook tutorials
-          </a>
-          . Read more in the{" "}
-          <a
-            href="https://storybook.js.org/docs"
-            target="_blank"
-            rel="noopener noreferrer"
-          >
-            docs
-          </a>
-          .
-        </p>
-        <div className="tip-wrapper">
-          <span className="tip">Tip</span> Adjust the width of the canvas with
-          the{" "}
-          <svg
-            width="10"
-            height="10"
-            viewBox="0 0 12 12"
-            xmlns="http://www.w3.org/2000/svg"
-          >
-            <g fill="none" fillRule="evenodd">
-              <path
-                d="M1.5 5.2h4.8c.3 0 .5.2.5.4v5.1c-.1.2-.3.3-.4.3H1.4a.5.5 0 01-.5-.4V5.7c0-.3.2-.5.5-.5zm0-2.1h6.9c.3 0 .5.2.5.4v7a.5.5 0 01-1 0V4H1.5a.5.5 0 010-1zm0-2.1h9c.3 0 .5.2.5.4v9.1a.5.5 0 01-1 0V2H1.5a.5.5 0 010-1zm4.3 5.2H2V10h3.8V6.2z"
-                id="a"
-                fill="#999"
-              />
-            </g>
-          </svg>
-          Viewports addon in the toolbar
-        </div>
-      </section>
-    </article>
-  );
-};
diff --git a/autogpt_platform/frontend/src/stories/assets/accessibility.png b/autogpt_platform/frontend/src/stories/assets/accessibility.png
deleted file mode 100644
index 6ffe6feabdc1..000000000000
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diff --git a/autogpt_platform/frontend/src/stories/assets/accessibility.svg b/autogpt_platform/frontend/src/stories/assets/accessibility.svg
deleted file mode 100644
index 107e93f83840..000000000000
--- a/autogpt_platform/frontend/src/stories/assets/accessibility.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="48" height="48" fill="none" viewBox="0 0 48 48"><title>Accessibility</title><circle cx="24.334" cy="24" r="24" fill="#A849FF" fill-opacity=".3"/><path fill="#A470D5" fill-rule="evenodd" d="M27.8609 11.585C27.8609 9.59506 26.2497 7.99023 24.2519 7.99023C22.254 7.99023 20.6429 9.65925 20.6429 11.585C20.6429 13.575 22.254 15.1799 24.2519 15.1799C26.2497 15.1799 27.8609 13.575 27.8609 11.585ZM21.8922 22.6473C21.8467 23.9096 21.7901 25.4788 21.5897 26.2771C20.9853 29.0462 17.7348 36.3314 17.3325 37.2275C17.1891 37.4923 17.1077 37.7955 17.1077 38.1178C17.1077 39.1519 17.946 39.9902 18.9802 39.9902C19.6587 39.9902 20.253 39.6293 20.5814 39.0889L20.6429 38.9874L24.2841 31.22C24.2841 31.22 27.5529 37.9214 27.9238 38.6591C28.2948 39.3967 28.8709 39.9902 29.7168 39.9902C30.751 39.9902 31.5893 39.1519 31.5893 38.1178C31.5893 37.7951 31.3639 37.2265 31.3639 37.2265C30.9581 36.3258 27.698 29.0452 27.0938 26.2771C26.8975 25.4948 26.847 23.9722 26.8056 22.7236C26.7927 22.333 26.7806 21.9693 26.7653 21.6634C26.7008 21.214 27.0231 20.8289 27.4097 20.7005L35.3366 18.3253C36.3033 18.0685 36.8834 16.9773 36.6256 16.0144C36.3678 15.0515 35.2722 14.4737 34.3055 14.7305C34.3055 14.7305 26.8619 17.1057 24.2841 17.1057C21.7062 17.1057 14.456 14.7947 14.456 14.7947C13.4893 14.5379 12.3937 14.9873 12.0715 15.9502C11.7493 16.9131 12.3293 18.0044 13.3604 18.3253L21.2873 20.7005C21.674 20.8289 21.9318 21.214 21.9318 21.6634C21.9174 21.9493 21.9053 22.2857 21.8922 22.6473Z" clip-rule="evenodd"/></svg>
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/stories/assets/addon-library.png b/autogpt_platform/frontend/src/stories/assets/addon-library.png
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diff --git a/autogpt_platform/frontend/src/stories/assets/assets.png b/autogpt_platform/frontend/src/stories/assets/assets.png
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index cfba6817aeb6..000000000000
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diff --git a/autogpt_platform/frontend/src/stories/assets/avif-test-image.avif b/autogpt_platform/frontend/src/stories/assets/avif-test-image.avif
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diff --git a/autogpt_platform/frontend/src/stories/assets/context.png b/autogpt_platform/frontend/src/stories/assets/context.png
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index e5cd249a2d3a..000000000000
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diff --git a/autogpt_platform/frontend/src/stories/assets/docs.png b/autogpt_platform/frontend/src/stories/assets/docs.png
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diff --git a/autogpt_platform/frontend/src/stories/assets/figma-plugin.png b/autogpt_platform/frontend/src/stories/assets/figma-plugin.png
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diff --git a/autogpt_platform/frontend/src/stories/assets/share.png b/autogpt_platform/frontend/src/stories/assets/share.png
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diff --git a/autogpt_platform/frontend/src/stories/assets/styling.png b/autogpt_platform/frontend/src/stories/assets/styling.png
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diff --git a/autogpt_platform/frontend/src/stories/assets/testing.png b/autogpt_platform/frontend/src/stories/assets/testing.png
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index d4ac39a0ced9..000000000000
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diff --git a/autogpt_platform/frontend/src/stories/assets/theming.png b/autogpt_platform/frontend/src/stories/assets/theming.png
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diff --git a/autogpt_platform/frontend/src/stories/assets/tutorials.svg b/autogpt_platform/frontend/src/stories/assets/tutorials.svg
deleted file mode 100644
index b492a9c66f7f..000000000000
--- a/autogpt_platform/frontend/src/stories/assets/tutorials.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="33" height="32" fill="none" viewBox="0 0 33 32"><g clip-path="url(#clip0_10031_177597)"><path fill="#B7F0EF" fill-rule="evenodd" d="M17 7.87059C17 6.48214 17.9812 5.28722 19.3431 5.01709L29.5249 2.99755C31.3238 2.64076 33 4.01717 33 5.85105V22.1344C33 23.5229 32.0188 24.7178 30.6569 24.9879L20.4751 27.0074C18.6762 27.3642 17 25.9878 17 24.1539L17 7.87059Z" clip-rule="evenodd" opacity=".7"/><path fill="#87E6E5" fill-rule="evenodd" d="M1 5.85245C1 4.01857 2.67623 2.64215 4.47507 2.99895L14.6569 5.01848C16.0188 5.28861 17 6.48354 17 7.87198V24.1553C17 25.9892 15.3238 27.3656 13.5249 27.0088L3.34311 24.9893C1.98119 24.7192 1 23.5242 1 22.1358V5.85245Z" clip-rule="evenodd"/><path fill="#61C1FD" fill-rule="evenodd" d="M15.543 5.71289C15.543 5.71289 16.8157 5.96289 17.4002 6.57653C17.9847 7.19016 18.4521 9.03107 18.4521 9.03107C18.4521 9.03107 18.4521 25.1106 18.4521 26.9629C18.4521 28.8152 19.3775 31.4174 19.3775 31.4174L17.4002 28.8947L16.2575 31.4174C16.2575 31.4174 15.543 29.0765 15.543 27.122C15.543 25.1674 15.543 5.71289 15.543 5.71289Z" clip-rule="evenodd"/></g><defs><clipPath id="clip0_10031_177597"><rect width="32" height="32" fill="#fff" transform="translate(0.5)"/></clipPath></defs></svg>
\ No newline at end of file
diff --git a/autogpt_platform/frontend/src/stories/button.css b/autogpt_platform/frontend/src/stories/button.css
deleted file mode 100644
index 4d951196a9ad..000000000000
--- a/autogpt_platform/frontend/src/stories/button.css
+++ /dev/null
@@ -1,30 +0,0 @@
-.storybook-button {
-  display: inline-block;
-  cursor: pointer;
-  border: 0;
-  border-radius: 3em;
-  font-weight: 700;
-  line-height: 1;
-  font-family: "Nunito Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
-}
-.storybook-button--primary {
-  background-color: #1ea7fd;
-  color: white;
-}
-.storybook-button--secondary {
-  box-shadow: rgba(0, 0, 0, 0.15) 0px 0px 0px 1px inset;
-  background-color: transparent;
-  color: #333;
-}
-.storybook-button--small {
-  padding: 10px 16px;
-  font-size: 12px;
-}
-.storybook-button--medium {
-  padding: 11px 20px;
-  font-size: 14px;
-}
-.storybook-button--large {
-  padding: 12px 24px;
-  font-size: 16px;
-}
diff --git a/autogpt_platform/frontend/src/stories/header.css b/autogpt_platform/frontend/src/stories/header.css
deleted file mode 100644
index ad77492780e8..000000000000
--- a/autogpt_platform/frontend/src/stories/header.css
+++ /dev/null
@@ -1,32 +0,0 @@
-.storybook-header {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  border-bottom: 1px solid rgba(0, 0, 0, 0.1);
-  padding: 15px 20px;
-  font-family: "Nunito Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
-}
-
-.storybook-header svg {
-  display: inline-block;
-  vertical-align: top;
-}
-
-.storybook-header h1 {
-  display: inline-block;
-  vertical-align: top;
-  margin: 6px 0 6px 10px;
-  font-weight: 700;
-  font-size: 20px;
-  line-height: 1;
-}
-
-.storybook-header button + button {
-  margin-left: 10px;
-}
-
-.storybook-header .welcome {
-  margin-right: 10px;
-  color: #333;
-  font-size: 14px;
-}
diff --git a/autogpt_platform/frontend/src/stories/page.css b/autogpt_platform/frontend/src/stories/page.css
deleted file mode 100644
index d1cf49597a75..000000000000
--- a/autogpt_platform/frontend/src/stories/page.css
+++ /dev/null
@@ -1,69 +0,0 @@
-.storybook-page {
-  margin: 0 auto;
-  padding: 48px 20px;
-  max-width: 600px;
-  color: #333;
-  font-size: 14px;
-  line-height: 24px;
-  font-family: "Nunito Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
-}
-
-.storybook-page h2 {
-  display: inline-block;
-  vertical-align: top;
-  margin: 0 0 4px;
-  font-weight: 700;
-  font-size: 32px;
-  line-height: 1;
-}
-
-.storybook-page p {
-  margin: 1em 0;
-}
-
-.storybook-page a {
-  color: #1ea7fd;
-  text-decoration: none;
-}
-
-.storybook-page ul {
-  margin: 1em 0;
-  padding-left: 30px;
-}
-
-.storybook-page li {
-  margin-bottom: 8px;
-}
-
-.storybook-page .tip {
-  display: inline-block;
-  vertical-align: top;
-  margin-right: 10px;
-  border-radius: 1em;
-  background: #e7fdd8;
-  padding: 4px 12px;
-  color: #66bf3c;
-  font-weight: 700;
-  font-size: 11px;
-  line-height: 12px;
-}
-
-.storybook-page .tip-wrapper {
-  margin-top: 40px;
-  margin-bottom: 40px;
-  font-size: 13px;
-  line-height: 20px;
-}
-
-.storybook-page .tip-wrapper svg {
-  display: inline-block;
-  vertical-align: top;
-  margin-top: 3px;
-  margin-right: 4px;
-  width: 12px;
-  height: 12px;
-}
-
-.storybook-page .tip-wrapper svg path {
-  fill: #1ea7fd;
-}
diff --git a/autogpt_platform/frontend/src/tests/agent-activity.spec.ts b/autogpt_platform/frontend/src/tests/agent-activity.spec.ts
new file mode 100644
index 000000000000..02956fe4e93c
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/agent-activity.spec.ts
@@ -0,0 +1,105 @@
+import test, { expect } from "@playwright/test";
+import { hasTextContent, hasUrl, isVisible } from "./utils/assertion";
+import { getSelectors } from "./utils/selectors";
+import { getTestUser } from "./utils/auth";
+import { LoginPage } from "./pages/login.page";
+import { BuildPage } from "./pages/build.page";
+import * as LibraryPage from "./pages/library.page";
+
+test.beforeEach(async ({ page }) => {
+  const loginPage = new LoginPage(page);
+  const buildPage = new BuildPage(page);
+  const testUser = await getTestUser();
+
+  const { getId, getText } = getSelectors(page);
+
+  await page.goto("/login");
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
+
+  await page.goto("/build");
+  await buildPage.closeTutorial();
+  await buildPage.openBlocksPanel();
+
+  const [dictionaryBlock] = await buildPage.getFilteredBlocksFromAPI(
+    (block) => block.name === "AddToDictionaryBlock",
+  );
+
+  const blockCard = getId(`block-name-${dictionaryBlock.id}`);
+  await blockCard.click();
+  const blockInEditor = getId(dictionaryBlock.id).first();
+  expect(blockInEditor).toBeAttached();
+
+  await buildPage.saveAgent("Test Agent", "Test Description");
+  await test
+    .expect(page)
+    .toHaveURL(({ searchParams }) => !!searchParams.get("flowID"));
+
+  // Wait for save to complete
+  await page.waitForTimeout(1000);
+
+  await page.goto("/library");
+  await LibraryPage.clickFirstAgent(page);
+  await LibraryPage.waitForAgentPageLoad(page);
+  await isVisible(getText("Test Agent"), 8000);
+});
+
+test("shows badge with count when agent is running", async ({ page }) => {
+  const { getId } = getSelectors(page);
+
+  // Start the agent run
+  await LibraryPage.clickRunButton(page);
+
+  // Wait for the badge to appear and check it has a valid count
+  const badge = getId("agent-activity-badge");
+  await isVisible(badge);
+
+  // Check that badge shows a positive number (more flexible than exact count)
+  await expect(async () => {
+    const badgeText = await badge.textContent();
+    const count = parseInt(badgeText || "0");
+
+    if (count < 1) {
+      throw new Error(`Expected badge count >= 1, got: ${badgeText}`);
+    }
+  }).toPass({ timeout: 10000 });
+});
+
+test("displays the runs on the activity dropdown", async ({ page }) => {
+  const { getId } = getSelectors(page);
+
+  const activityBtn = getId("agent-activity-button");
+  await isVisible(activityBtn);
+
+  // Start the agent run
+  await LibraryPage.clickRunButton(page);
+
+  // Wait for the activity badge to appear (indicating execution started)
+  const badge = getId("agent-activity-badge");
+  await isVisible(badge);
+
+  // Click to open the dropdown
+  await activityBtn.click();
+
+  const dropdown = getId("agent-activity-dropdown");
+  await isVisible(dropdown);
+
+  // Check that the agent name appears in the dropdown
+  await hasTextContent(dropdown, "Test Agent");
+
+  // Check for execution status - be more flexible with text matching
+  await expect(async () => {
+    const dropdownText = await dropdown.textContent();
+    const hasAgentName = dropdownText?.includes("Test Agent");
+    const hasExecutionStatus =
+      dropdownText?.includes("queued") ||
+      dropdownText?.includes("running") ||
+      dropdownText?.includes("Started");
+
+    if (!hasAgentName || !hasExecutionStatus) {
+      throw new Error(
+        `Expected agent name and execution status, got: ${dropdownText}`,
+      );
+    }
+  }).toPass({ timeout: 8000 });
+});
diff --git a/autogpt_platform/frontend/src/tests/agent-dashboard.spec.ts b/autogpt_platform/frontend/src/tests/agent-dashboard.spec.ts
new file mode 100644
index 000000000000..87dfff10caba
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/agent-dashboard.spec.ts
@@ -0,0 +1,239 @@
+import { LoginPage } from "./pages/login.page";
+import test, { expect } from "@playwright/test";
+import { TEST_CREDENTIALS } from "./credentials";
+import { getSelectors } from "./utils/selectors";
+import { hasUrl, isHidden } from "./utils/assertion";
+
+test.beforeEach(async ({ page }) => {
+  const loginPage = new LoginPage(page);
+  await page.goto("/login");
+  await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+  await hasUrl(page, "/marketplace");
+});
+
+test("dashboard page loads successfully", async ({ page }) => {
+  const { getText } = getSelectors(page);
+  await page.goto("/profile/dashboard");
+
+  await expect(getText("Agent dashboard")).toBeVisible();
+  await expect(getText("Submit a New Agent")).toBeVisible();
+  await expect(getText("Your uploaded agents")).toBeVisible();
+});
+
+test("submit agent button works correctly", async ({ page }) => {
+  const { getId, getText } = getSelectors(page);
+
+  await page.goto("/profile/dashboard");
+  const submitAgentButton = getId("submit-agent-button");
+  await expect(submitAgentButton).toBeVisible();
+  await submitAgentButton.click();
+
+  await expect(getText("Publish Agent")).toBeVisible();
+  await expect(
+    getText("Select your project that you'd like to publish"),
+  ).toBeVisible();
+
+  await page.locator('button[aria-label="Close"]').click();
+  await expect(getText("Publish Agent")).not.toBeVisible();
+});
+
+test("agent table view action works correctly for rejected agents", async ({
+  page,
+}) => {
+  await page.goto("/profile/dashboard");
+
+  const agentTable = page.getByTestId("agent-table");
+  await expect(agentTable).toBeVisible();
+
+  const rows = agentTable.getByTestId("agent-table-row");
+
+  // Find a row with rejected status
+  const rejectedRow = rows.filter({ hasText: "Rejected" }).first();
+  if (!(await rejectedRow.count())) {
+    console.log("No rejected agents available; skipping view test.");
+    return;
+  }
+
+  await rejectedRow.scrollIntoViewIfNeeded();
+
+  const actionsButton = rejectedRow.getByTestId("agent-table-row-actions");
+  await actionsButton.waitFor({ state: "visible", timeout: 10000 });
+  await actionsButton.scrollIntoViewIfNeeded();
+  await actionsButton.click();
+
+  // View button testing
+  const viewButton = page.getByRole("menuitem", { name: "View" });
+  await expect(viewButton).toBeVisible();
+  await viewButton.click();
+
+  const modal = page.getByTestId("publish-agent-modal");
+  await expect(modal).toBeVisible();
+  const viewAgentName = modal.getByText("Agent is awaiting review");
+  await expect(viewAgentName).toBeVisible();
+
+  await page.getByRole("button", { name: "Done" }).click();
+  await expect(modal).not.toBeVisible();
+});
+
+test("agent table delete action works correctly", async ({ page }) => {
+  await page.goto("/profile/dashboard");
+
+  const agentTable = page.getByTestId("agent-table");
+  await expect(agentTable).toBeVisible();
+
+  const rows = agentTable.getByTestId("agent-table-row");
+
+  // Delete button testing — delete the first agent in the list
+  const beforeCount = await rows.count();
+
+  if (beforeCount === 0) {
+    console.log("No agents available; skipping delete flow.");
+    return;
+  }
+
+  const firstRow = rows.first();
+  const deletedSubmissionId = await firstRow.getAttribute("data-submission-id");
+  await firstRow.scrollIntoViewIfNeeded();
+
+  const delActionsButton = firstRow.getByTestId("agent-table-row-actions");
+  await delActionsButton.waitFor({ state: "visible", timeout: 10000 });
+  await delActionsButton.scrollIntoViewIfNeeded();
+  await delActionsButton.click();
+
+  const deleteButton = page.getByRole("menuitem", { name: "Delete" });
+  await expect(deleteButton).toBeVisible();
+  await deleteButton.click();
+
+  // Assert that the card with the deleted agent ID is not visible
+  await isHidden(page.locator(`[data-submission-id="${deletedSubmissionId}"]`));
+});
+
+test("edit action is unavailable for rejected agents (view only)", async ({
+  page,
+}) => {
+  await page.goto("/profile/dashboard");
+
+  const agentTable = page.getByTestId("agent-table");
+  await expect(agentTable).toBeVisible();
+
+  const rows = agentTable.getByTestId("agent-table-row");
+
+  const rejectedRow = rows.filter({ hasText: "Rejected" }).first();
+  if (!(await rejectedRow.count())) {
+    console.log("No rejected agents available; skipping rejected edit test.");
+    return;
+  }
+
+  await rejectedRow.scrollIntoViewIfNeeded();
+
+  const actionsButton = rejectedRow.getByTestId("agent-table-row-actions");
+  await actionsButton.waitFor({ state: "visible", timeout: 10000 });
+  await actionsButton.scrollIntoViewIfNeeded();
+  await actionsButton.click();
+
+  // Rejected should not show Edit, only View
+  await expect(page.getByRole("menuitem", { name: "View" })).toBeVisible();
+  await expect(page.getByRole("menuitem", { name: "Edit" })).toHaveCount(0);
+});
+
+test("editing an approved agent creates a new pending submission", async ({
+  page,
+}) => {
+  await page.goto("/profile/dashboard");
+
+  const agentTable = page.getByTestId("agent-table");
+  await expect(agentTable).toBeVisible();
+
+  const rows = agentTable.getByTestId("agent-table-row");
+
+  const approvedRow = rows.filter({ hasText: "Approved" }).first();
+  if (!(await approvedRow.count())) {
+    console.log("No approved agents available; skipping approved edit test.");
+    return;
+  }
+
+  const beforeCount = await rows.count();
+
+  await approvedRow.scrollIntoViewIfNeeded();
+  const actionsButton = approvedRow.getByTestId("agent-table-row-actions");
+  await actionsButton.waitFor({ state: "visible", timeout: 10000 });
+  await actionsButton.scrollIntoViewIfNeeded();
+  await actionsButton.click();
+
+  const editButton = page.getByRole("menuitem", { name: "Edit" });
+  await expect(editButton).toBeVisible();
+  await editButton.click();
+
+  const editModal = page.getByTestId("edit-agent-modal");
+  await expect(editModal).toBeVisible();
+
+  const newTitle = `E2E Edit Approved ${Date.now()}`;
+  await page.getByRole("textbox", { name: "Title" }).fill(newTitle);
+  await page
+    .getByRole("textbox", { name: "Changes Summary" })
+    .fill("E2E change - approved -> new pending submission");
+
+  await page.getByRole("button", { name: "Update submission" }).click();
+  await expect(editModal).not.toBeVisible();
+
+  // A new submission should appear with pending state
+  await expect(async () => {
+    const afterCount = await rows.count();
+    expect(afterCount).toBeGreaterThan(beforeCount);
+  }).toPass();
+
+  const newRow = rows.filter({ hasText: newTitle }).first();
+  await expect(newRow).toBeVisible();
+  await expect(newRow).toContainText(/Awaiting review/);
+});
+
+test("editing a pending agent updates the same submission in place", async ({
+  page,
+}) => {
+  await page.goto("/profile/dashboard");
+
+  const agentTable = page.getByTestId("agent-table");
+  await expect(agentTable).toBeVisible();
+
+  const rows = agentTable.getByTestId("agent-table-row");
+
+  const pendingRow = rows.filter({ hasText: /Awaiting review/ }).first();
+  if (!(await pendingRow.count())) {
+    console.log("No pending agents available; skipping pending edit test.");
+    return;
+  }
+
+  const beforeCount = await rows.count();
+
+  await pendingRow.scrollIntoViewIfNeeded();
+  const actionsButton = pendingRow.getByTestId("agent-table-row-actions");
+  await actionsButton.waitFor({ state: "visible", timeout: 10000 });
+  await actionsButton.scrollIntoViewIfNeeded();
+  await actionsButton.click();
+
+  const editButton = page.getByRole("menuitem", { name: "Edit" });
+  await expect(editButton).toBeVisible();
+  await editButton.click();
+
+  const editModal = page.getByTestId("edit-agent-modal");
+  await expect(editModal).toBeVisible();
+
+  const newTitle = `E2E Edit Pending ${Date.now()}`;
+  await page.getByRole("textbox", { name: "Title" }).fill(newTitle);
+  await page
+    .getByRole("textbox", { name: "Changes Summary" })
+    .fill("E2E change - pending -> same submission");
+
+  await page.getByRole("button", { name: "Update submission" }).click();
+  await expect(editModal).not.toBeVisible();
+
+  // Count should remain the same
+  await expect(async () => {
+    const afterCount = await rows.count();
+    expect(afterCount).toBe(beforeCount);
+  }).toPass();
+
+  const updatedRow = rows.filter({ hasText: newTitle }).first();
+  await expect(updatedRow).toBeVisible();
+  await expect(updatedRow).toContainText(/Awaiting review/);
+});
diff --git a/autogpt_platform/frontend/src/tests/api-keys.spec.ts b/autogpt_platform/frontend/src/tests/api-keys.spec.ts
new file mode 100644
index 000000000000..a42ae8384e5a
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/api-keys.spec.ts
@@ -0,0 +1,64 @@
+import { expect, test } from "@playwright/test";
+import { LoginPage } from "./pages/login.page";
+import { TEST_CREDENTIALS } from "./credentials";
+import { hasUrl } from "./utils/assertion";
+import { getSelectors } from "./utils/selectors";
+
+test.describe("API Keys Page", () => {
+  test.beforeEach(async ({ page }) => {
+    const loginPage = new LoginPage(page);
+    await page.goto("/login");
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+  });
+
+  test("should redirect to login page when user is not authenticated", async ({
+    browser,
+  }) => {
+    const context = await browser.newContext();
+    const page = await context.newPage();
+
+    try {
+      await page.goto("/profile/api_keys");
+      await hasUrl(page, "/login");
+    } finally {
+      await page.close();
+      await context.close();
+    }
+  });
+
+  test("should create a new API key successfully", async ({ page }) => {
+    const { getButton, getField } = getSelectors(page);
+    await page.goto("/profile/api_keys");
+    await getButton("Create Key").click();
+
+    await getField("Name").fill("Test Key");
+    await getButton("Create").click();
+
+    await expect(
+      page.getByText("AutoGPT Platform API Key Created"),
+    ).toBeVisible();
+    await getButton("Close").first().click();
+
+    await expect(page.getByText("Test Key").first()).toBeVisible();
+  });
+
+  test("should revoke an existing API key", async ({ page }) => {
+    const { getRole, getId } = getSelectors(page);
+    await page.goto("/profile/api_keys");
+
+    const apiKeyRow = getId("api-key-row").first();
+    const apiKeyContent = await apiKeyRow
+      .getByTestId("api-key-id")
+      .textContent();
+    const apiKeyActions = apiKeyRow.getByTestId("api-key-actions").first();
+
+    await apiKeyActions.click();
+    await getRole("menuitem", "Revoke").click();
+    await expect(
+      page.getByText("AutoGPT Platform API key revoked successfully"),
+    ).toBeVisible();
+
+    await expect(page.getByText(apiKeyContent!)).not.toBeVisible();
+  });
+});
diff --git a/autogpt_platform/frontend/src/tests/assets/testing_agent.json b/autogpt_platform/frontend/src/tests/assets/testing_agent.json
new file mode 100644
index 000000000000..c39308d82134
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/assets/testing_agent.json
@@ -0,0 +1,48 @@
+{
+  "id": "0f919347-86ce-4218-8d80-617dc6e57cc7",
+  "version": 1,
+  "is_active": true,
+  "name": "Testing agent",
+  "description": "We use this agent for test purpose only",
+  "nodes": [
+    {
+      "id": "c5e2d556-80e7-4fa6-841f-fe6cdfc75004",
+      "block_id": "b1ab9b19-67a6-406d-abf5-2dba76d00c79",
+      "input_default": {
+        "round_result": false
+      },
+      "metadata": {
+        "position": {
+          "x": 804.8000000000001,
+          "y": 539.6
+        }
+      },
+      "input_links": [],
+      "output_links": [],
+      "graph_id": "0f919347-86ce-4218-8d80-617dc6e57cc7",
+      "graph_version": 1,
+      "webhook_id": null,
+      "webhook": null
+    }
+  ],
+  "links": [],
+  "forked_from_id": null,
+  "forked_from_version": null,
+  "sub_graphs": [],
+  "input_schema": {
+    "type": "object",
+    "properties": {},
+    "required": []
+  },
+  "output_schema": {
+    "type": "object",
+    "properties": {},
+    "required": []
+  },
+  "credentials_input_schema": {
+    "properties": {},
+    "title": "TestingagentCredentialsInputSchema",
+    "type": "object"
+  },
+  "has_webhook_trigger": false
+}
diff --git a/autogpt_platform/frontend/src/tests/auth.spec.ts b/autogpt_platform/frontend/src/tests/auth.spec.ts
deleted file mode 100644
index 8c7ac4ab7780..000000000000
--- a/autogpt_platform/frontend/src/tests/auth.spec.ts
+++ /dev/null
@@ -1,60 +0,0 @@
-// auth.spec.ts
-import { test } from "./fixtures";
-
-test.describe("Authentication", () => {
-  test("user can login successfully", async ({ page, loginPage, testUser }) => {
-    await page.goto("/login");
-    await loginPage.login(testUser.email, testUser.password);
-    await test.expect(page).toHaveURL("/store");
-    await test
-      .expect(page.getByTestId("profile-popout-menu-trigger"))
-      .toBeVisible();
-  });
-
-  test("user can logout successfully", async ({
-    page,
-    loginPage,
-    testUser,
-  }) => {
-    await page.goto("/login");
-    await loginPage.login(testUser.email, testUser.password);
-
-    await test.expect(page).toHaveURL("/store");
-
-    // Click on the profile menu trigger to open popout
-    await page.getByTestId("profile-popout-menu-trigger").click();
-
-    // Wait for menu to be visible before clicking logout
-    await page.getByRole("button", { name: "Log out" }).waitFor({
-      state: "visible",
-      timeout: 5000,
-    });
-
-    // Click the logout button in the popout menu
-    await page.getByRole("button", { name: "Log out" }).click();
-
-    await test.expect(page).toHaveURL("/login");
-  });
-
-  test("login in, then out, then in again", async ({
-    page,
-    loginPage,
-    testUser,
-  }) => {
-    await page.goto("/login");
-    await loginPage.login(testUser.email, testUser.password);
-    await test.expect(page).toHaveURL("/store");
-    // Click on the profile menu trigger to open popout
-    await page.getByTestId("profile-popout-menu-trigger").click();
-
-    // Click the logout button in the popout menu
-    await page.getByRole("button", { name: "Log out" }).click();
-
-    await test.expect(page).toHaveURL("/login");
-    await loginPage.login(testUser.email, testUser.password);
-    await test.expect(page).toHaveURL("/store");
-    await test
-      .expect(page.getByTestId("profile-popout-menu-trigger"))
-      .toBeVisible();
-  });
-});
diff --git a/autogpt_platform/frontend/src/tests/build.spec.ts b/autogpt_platform/frontend/src/tests/build.spec.ts
index 3400b6f282c4..70bde708e482 100644
--- a/autogpt_platform/frontend/src/tests/build.spec.ts
+++ b/autogpt_platform/frontend/src/tests/build.spec.ts
@@ -3,8 +3,12 @@
 //make sure to update the docs! Your autoformmater will break this page,
 // so don't run it on this file.
 // --8<-- [start:BuildPageExample]
-import { test } from "./fixtures";
+
+import test from "@playwright/test";
 import { BuildPage } from "./pages/build.page";
+import { LoginPage } from "./pages/login.page";
+import { getTestUser } from "./utils/auth";
+import { hasUrl } from "./utils/assertion";
 
 // Reason Ignore: admonishment is in the wrong place visually with correct prettier rules
 // prettier-ignore
@@ -13,91 +17,194 @@ test.describe("Build", () => { //(1)!
 
   // Reason Ignore: admonishment is in the wrong place visually with correct prettier rules
   // prettier-ignore
-  test.beforeEach(async ({ page, loginPage, testUser }, testInfo) => { //(3)! ts-ignore
+  test.beforeEach(async ({ page }) => { //(3)! ts-ignore
+    const loginPage = new LoginPage(page);
+    const testUser = await getTestUser();
+
     buildPage = new BuildPage(page);
 
     // Start each test with login using worker auth
     await page.goto("/login"); //(4)!
     await loginPage.login(testUser.email, testUser.password);
-    await test.expect(page).toHaveURL("/"); //(5)!
+    await hasUrl(page, "/marketplace"); //(5)!
     await buildPage.navbar.clickBuildLink();
+    await hasUrl(page, "/build");
+    await buildPage.closeTutorial();
   });
 
+  // Helper function to add blocks starting with a specific letter, split into parts for parallelization
+  async function addBlocksStartingWithSplit(letter: string, part: number, totalParts: number): Promise<void> {
+    const blockIdsToSkip = await buildPage.getBlocksToSkip();
+    const blockTypesToSkip = ["Input", "Output", "Agent", "AI"];
+    const targetLetter = letter.toLowerCase();
+    
+    const allBlocks = await buildPage.getFilteredBlocksFromAPI(block => 
+      block.name[0].toLowerCase() === targetLetter &&
+      !blockIdsToSkip.includes(block.id) && 
+      !blockTypesToSkip.includes(block.type)
+    );
+
+    const blocksToAdd = allBlocks.filter((_, index) => 
+      index % totalParts === (part - 1)
+    );
+
+    console.log(`Adding ${blocksToAdd.length} blocks starting with "${letter}" (part ${part}/${totalParts})`);
+    
+    for (const block of blocksToAdd) {
+      await buildPage.addBlock(block);
+    }
+  }
+
   // Reason Ignore: admonishment is in the wrong place visually with correct prettier rules
   // prettier-ignore
-  test("user can add a block", async ({ page }) => { //(6)!
-    // workaround for #8788
-    await buildPage.navbar.clickBuildLink();
-    await test.expect(page).toHaveURL(new RegExp("/build"));
-    await buildPage.waitForPageLoad();
-    await test.expect(buildPage.isLoaded()).resolves.toBeTruthy(); //(7)!
-
-    await buildPage.closeTutorial(); //(9)!
+  test("user can add a block", async ({ page: _page }) => { //(6)!
     await buildPage.openBlocksPanel(); //(10)!
-    const block = await buildPage.getDictionaryBlockDetails();
+    const blocks = await buildPage.getFilteredBlocksFromAPI(block => block.name[0].toLowerCase() === "a");
+    const block = blocks.at(-1);
+    if (!block) throw new Error("No block found");
 
     await buildPage.addBlock(block); //(11)!
     await buildPage.closeBlocksPanel(); //(12)!
-    await test.expect(buildPage.hasBlock(block)).resolves.toBeTruthy(); //(13)!
+    await buildPage.hasBlock(block); //(13)!
   });
   // --8<-- [end:BuildPageExample]
 
-  test("user can add all blocks", async ({ page }, testInfo) => {
-    // this test is slow af so we 10x the timeout (sorry future me)
-    await test.setTimeout(testInfo.timeout * 10);
-    await test.expect(buildPage.isLoaded()).resolves.toBeTruthy();
-    await test.expect(page).toHaveURL(new RegExp("/.*build"));
-    await buildPage.closeTutorial();
-    await buildPage.openBlocksPanel();
-    const blocks = await buildPage.getBlocks();
+  test("user can add blocks starting with a (part 1)", async () => {
+    await addBlocksStartingWithSplit("a", 1, 2);
+  });
 
-    // add all the blocks in order
-    for (const block of blocks) {
-      if (block.id !== "e189baac-8c20-45a1-94a7-55177ea42565") {
-        await buildPage.addBlock(block);
-      }
-    }
-    await buildPage.closeBlocksPanel();
-    // check that all the blocks are visible
-    for (const block of blocks) {
-      if (block.id !== "e189baac-8c20-45a1-94a7-55177ea42565") {
-        await test.expect(buildPage.hasBlock(block)).resolves.toBeTruthy();
-      }
-    }
-    // fill in the input for the agent input block
-    await buildPage.fillBlockInputByPlaceholder(
-      blocks.find((b) => b.name === "Agent Input")?.id ?? "",
-      "Enter Name",
-      "Agent Input Field",
-    );
-    await buildPage.fillBlockInputByPlaceholder(
-      blocks.find((b) => b.name === "Agent Output")?.id ?? "",
-      "Enter Name",
-      "Agent Output Field",
-    );
-    // check that we can save the agent with all the blocks
-    await buildPage.saveAgent("all blocks test", "all blocks test");
-    // page should have a url like http://localhost:3000/build?flowID=f4f3a1da-cfb3-430f-a074-a455b047e340
-    await test.expect(page).toHaveURL(new RegExp("/.*build\\?flowID=.+"));
+  test("user can add blocks starting with a (part 2)", async () => {
+    await addBlocksStartingWithSplit("a", 2, 2);
+  });
+
+  test("user can add blocks starting with b", async () => {
+    await addBlocksStartingWithSplit("b", 1, 1);
+  });
+
+  test("user can add blocks starting with c", async () => {
+    await addBlocksStartingWithSplit("c", 1, 1);
+  });
+
+  test("user can add blocks starting with d", async () => {
+    await addBlocksStartingWithSplit("d", 1, 1);
+  });
+
+  test("user can add blocks starting with e", async () => {
+    await addBlocksStartingWithSplit("e", 1, 1);
+  });
+
+  test("user can add blocks starting with f", async () => {
+    await addBlocksStartingWithSplit("f", 1, 1);
+  });
+
+  test("user can add blocks starting with g (part 1)", async () => {
+    await addBlocksStartingWithSplit("g", 1, 3);
+  });
+
+  test("user can add blocks starting with g (part 2)", async () => {
+    await addBlocksStartingWithSplit("g", 2, 3);
+  });
+
+  test("user can add blocks starting with g (part 3)", async () => {
+    await addBlocksStartingWithSplit("g", 3, 3);
+  });
+
+  test("user can add blocks starting with h", async () => {
+    await addBlocksStartingWithSplit("h", 1, 1);
+  });
+
+  test("user can add blocks starting with i", async () => {
+    await addBlocksStartingWithSplit("i", 1, 1);
+  });
+
+  test("user can add blocks starting with j", async () => {
+    await addBlocksStartingWithSplit("j", 1, 1);
+  });
+
+  test("user can add blocks starting with k", async () => {
+    await addBlocksStartingWithSplit("k", 1, 1);
+  });
+
+  test("user can add blocks starting with l", async () => {
+    await addBlocksStartingWithSplit("l", 1, 1);
+  });
+
+  test("user can add blocks starting with m", async () => {
+    await addBlocksStartingWithSplit("m", 1, 1);
+  });
+
+  test("user can add blocks starting with n", async () => {
+    await addBlocksStartingWithSplit("n", 1, 1);
+  });
+
+  test("user can add blocks starting with o", async () => {
+    await addBlocksStartingWithSplit("o", 1, 1);
+  });
+
+  test("user can add blocks starting with p", async () => {
+    await addBlocksStartingWithSplit("p", 1, 1);
+  });
+
+  test("user can add blocks starting with q", async () => {
+    await addBlocksStartingWithSplit("q", 1, 1);
+  });
+
+  test("user can add blocks starting with r", async () => {
+    await addBlocksStartingWithSplit("r", 1, 1);
+  });
+
+  test("user can add blocks starting with s (part 1)", async () => {
+    await addBlocksStartingWithSplit("s", 1, 3);
+  });
+
+  test("user can add blocks starting with s (part 2)", async () => {
+    await addBlocksStartingWithSplit("s", 2, 3);
+  });
+
+  test("user can add blocks starting with s (part 3)", async () => {
+    await addBlocksStartingWithSplit("s", 3, 3);
+  });
+
+  test("user can add blocks starting with t", async () => {
+    await addBlocksStartingWithSplit("t", 1, 1);
+  });
+
+  test("user can add blocks starting with u", async () => {
+    await addBlocksStartingWithSplit("u", 1, 1);
+  });
+
+  test("user can add blocks starting with v", async () => {
+    await addBlocksStartingWithSplit("v", 1, 1);
+  });
+
+  test("user can add blocks starting with w", async () => {
+    await addBlocksStartingWithSplit("w", 1, 1);
+  });
+
+  test("user can add blocks starting with x", async () => {
+    await addBlocksStartingWithSplit("x", 1, 1);
+  });
+
+  test("user can add blocks starting with y", async () => {
+    await addBlocksStartingWithSplit("y", 1, 1);
+  });
+
+  test("user can add blocks starting with z", async () => {
+    await addBlocksStartingWithSplit("z", 1, 1);
   });
 
   test("build navigation is accessible from navbar", async ({ page }) => {
+    // Navigate somewhere else first
+    await page.goto("/marketplace"); //(4)!
+
+    // Check that navigation to the Builder is available on the page
     await buildPage.navbar.clickBuildLink();
-    await test.expect(page).toHaveURL(new RegExp("/build"));
-    // workaround for #8788
-    await page.reload();
-    await page.reload();
+
+    await hasUrl(page, "/build");
     await test.expect(buildPage.isLoaded()).resolves.toBeTruthy();
   });
 
-  test("user can add two blocks and connect them", async ({
-    page,
-  }, testInfo) => {
-    await test.setTimeout(testInfo.timeout * 10);
-
-    await test.expect(buildPage.isLoaded()).resolves.toBeTruthy();
-    await test.expect(page).toHaveURL(new RegExp("/.*build"));
-    await buildPage.closeTutorial();
+  test("user can add two blocks and connect them", async ({ page }) => {
     await buildPage.openBlocksPanel();
 
     // Define the blocks to add
@@ -105,11 +212,13 @@ test.describe("Build", () => { //(1)!
       id: "1ff065e9-88e8-4358-9d82-8dc91f622ba9",
       name: "Store Value 1",
       description: "Store Value Block 1",
+      type: "Standard",
     };
     const block2 = {
       id: "1ff065e9-88e8-4358-9d82-8dc91f622ba9",
       name: "Store Value 2",
       description: "Store Value Block 2",
+      type: "Standard",
     };
 
     // Add the blocks
@@ -136,61 +245,44 @@ test.describe("Build", () => { //(1)!
       "Connected Blocks Test",
       "Testing block connections",
     );
-    await test.expect(page).toHaveURL(new RegExp("/.*build\\?flowID=.+"));
+    await test.expect(page).toHaveURL(({ searchParams }) => !!searchParams.get("flowID"));
 
     // Wait for the save button to be enabled again
     await buildPage.waitForSaveButton();
 
     // Ensure the run button is enabled
     await test.expect(buildPage.isRunButtonEnabled()).resolves.toBeTruthy();
-
-    // Run the agent
-    await buildPage.runAgent();
-
-    // Wait for processing to complete by checking the completion badge
-    await buildPage.waitForCompletionBadge();
-
-    // Get the first completion badge and verify it's visible
-    await test
-      .expect(buildPage.isCompletionBadgeVisible())
-      .resolves.toBeTruthy();
   });
 
-  test("user can build an agent with inputs and output blocks", async ({
-    page,
-  }) => {
-    // simple calculator to double input and output it
+  test("user can build an agent with inputs and output blocks", async ({ page }, testInfo) => {
+    test.setTimeout(testInfo.timeout * 20);
 
-    // load the pages and prep
-    await test.expect(buildPage.isLoaded()).resolves.toBeTruthy();
-    await test.expect(page).toHaveURL(new RegExp("/.*build"));
-    await buildPage.closeTutorial();
+    // prep
     await buildPage.openBlocksPanel();
 
-    // find the blocks we want
-    const blocks = await buildPage.getBlocks();
-    const inputBlock = blocks.find((b) => b.name === "Agent Input");
-    const outputBlock = blocks.find((b) => b.name === "Agent Output");
-    const calculatorBlock = blocks.find((b) => b.name === "Calculator");
-    if (!inputBlock || !outputBlock || !calculatorBlock) {
-      throw new Error("Input or output block not found");
-    }
-
-    // add the blocks
+    // Get input block from Input category
+    const inputBlocks = await buildPage.getBlocksForCategory("Input");
+    const inputBlock = inputBlocks.find((b) => b.name === "Agent Input");
+    if (!inputBlock) throw new Error("Input block not found");
     await buildPage.addBlock(inputBlock);
+
+    // Get output block from Output category  
+    const outputBlocks = await buildPage.getBlocksForCategory("Output");
+    const outputBlock = outputBlocks.find((b) => b.name === "Agent Output");
+    if (!outputBlock) throw new Error("Output block not found");
     await buildPage.addBlock(outputBlock);
+
+    // Get calculator block from Logic category
+    const logicBlocks = await buildPage.getBlocksForCategory("Logic");
+    const calculatorBlock = logicBlocks.find((b) => b.name === "Calculator");
+    if (!calculatorBlock) throw new Error("Calculator block not found");
     await buildPage.addBlock(calculatorBlock);
+
     await buildPage.closeBlocksPanel();
 
     // Wait for blocks to be fully loaded
     await page.waitForTimeout(1000);
 
-    await test.expect(buildPage.hasBlock(inputBlock)).resolves.toBeTruthy();
-    await test.expect(buildPage.hasBlock(outputBlock)).resolves.toBeTruthy();
-    await test
-      .expect(buildPage.hasBlock(calculatorBlock))
-      .resolves.toBeTruthy();
-
     // Wait for blocks to be ready for connections
     await page.waitForTimeout(1000);
 
@@ -243,19 +335,19 @@ test.describe("Build", () => { //(1)!
       "Input and Output Blocks Test",
       "Testing input and output blocks",
     );
-    await test.expect(page).toHaveURL(new RegExp("/.*build\\?flowID=.+"));
+    await test.expect(page).toHaveURL(({ searchParams }) => !!searchParams.get("flowID"));
 
     // Wait for save to complete
     await page.waitForTimeout(1000);
 
-    await buildPage.runAgent();
-    await buildPage.fillRunDialog({
-      Value: "10",
-    });
-    await buildPage.clickRunDialogRunButton();
-    await buildPage.waitForCompletionBadge();
-    await test
-      .expect(buildPage.isCompletionBadgeVisible())
-      .resolves.toBeTruthy();
+    // await buildPage.runAgent();
+    // await buildPage.fillRunDialog({
+    //   Value: "10",
+    // });
+    // await buildPage.clickRunDialogRunButton();
+    // await buildPage.waitForCompletionBadge();
+    // await test
+    //   .expect(buildPage.isCompletionBadgeVisible())
+    //   .resolves.toBeTruthy();
   });
 });
diff --git a/autogpt_platform/frontend/src/tests/credentials/index.ts b/autogpt_platform/frontend/src/tests/credentials/index.ts
new file mode 100644
index 000000000000..ebf7528b63bd
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/credentials/index.ts
@@ -0,0 +1,24 @@
+// E2E Test Credentials and Constants
+export const TEST_CREDENTIALS = {
+  email: "test123@gmail.com",
+  password: "testpassword123",
+} as const;
+
+// Dummy constant to help developers identify agents that don't need input
+export const DummyInput = "DummyInput";
+
+// This will be used for testing agent submission for test123@gmail.com
+export const TEST_AGENT_DATA = {
+  name: "Test Agent Submission",
+  description:
+    "This is a test agent submission specifically created for frontend testing purposes.",
+  image_urls: [
+    "https://picsum.photos/200/300",
+    "https://picsum.photos/200/301",
+    "https://picsum.photos/200/302",
+  ],
+  video_url: "https://www.youtube.com/watch?v=test123",
+  sub_heading: "A test agent for frontend testing",
+  categories: ["test", "demo", "frontend"],
+  changes_summary: "Initial test submission",
+} as const;
diff --git a/autogpt_platform/frontend/src/tests/fixtures/index.ts b/autogpt_platform/frontend/src/tests/fixtures/index.ts
deleted file mode 100644
index ccab09cabd22..000000000000
--- a/autogpt_platform/frontend/src/tests/fixtures/index.ts
+++ /dev/null
@@ -1,109 +0,0 @@
-/* eslint-disable react-hooks/rules-of-hooks */
-import { test as base } from "@playwright/test";
-import { createClient, SupabaseClient } from "@supabase/supabase-js";
-import { faker } from "@faker-js/faker";
-import fs from "fs";
-import path from "path";
-import { TestUser } from "./test-user.fixture";
-import { LoginPage } from "../pages/login.page";
-
-// Extend both worker state and test-specific fixtures
-type WorkerFixtures = {
-  workerAuth: TestUser;
-};
-
-type TestFixtures = {
-  testUser: TestUser;
-  loginPage: LoginPage;
-};
-
-let supabase: SupabaseClient;
-
-function getSupabaseAdmin() {
-  if (!supabase) {
-    supabase = createClient(
-      process.env.SUPABASE_URL!,
-      process.env.SUPABASE_SERVICE_ROLE_KEY!,
-      {
-        auth: {
-          autoRefreshToken: false,
-          persistSession: false,
-        },
-      },
-    );
-  }
-  return supabase;
-}
-
-export const test = base.extend<TestFixtures, WorkerFixtures>({
-  // Define the worker-level fixture that creates and manages worker-specific auth
-  workerAuth: [
-    async ({}, use, workerInfo) => {
-      const workerId = workerInfo.workerIndex;
-      const fileName = path.resolve(
-        process.cwd(),
-        `.auth/worker-${workerId}.json`,
-      );
-
-      // Create directory if it doesn't exist
-      const dirPath = path.dirname(fileName);
-      if (!fs.existsSync(dirPath)) {
-        fs.mkdirSync(dirPath, { recursive: true });
-      }
-
-      let auth: TestUser;
-      if (fs.existsSync(fileName)) {
-        auth = JSON.parse(fs.readFileSync(fileName, "utf-8"));
-      } else {
-        // Generate new worker-specific test user
-        auth = {
-          email: `test.worker.${workerId}.${Date.now()}@example.com`,
-          password: faker.internet.password({ length: 12 }),
-        };
-
-        const supabase = getSupabaseAdmin();
-        const {
-          data: { user },
-          error: signUpError,
-        } = await supabase.auth.signUp({
-          email: auth.email,
-          password: auth.password,
-        });
-
-        if (signUpError) {
-          throw signUpError;
-        }
-
-        auth.id = user?.id;
-        fs.writeFileSync(fileName, JSON.stringify(auth));
-      }
-
-      await use(auth);
-
-      // Cleanup code is commented out to preserve test users during development
-      /*
-    if (workerInfo.project.metadata.teardown) {
-      if (auth.id) {
-        await deleteTestUser(auth.id);
-      }
-      if (fs.existsSync(fileName)) {
-        fs.unlinkSync(fileName);
-      }
-    }
-    */
-    },
-    { scope: "worker" },
-  ],
-
-  // Define the test-level fixture that provides access to the worker auth
-  testUser: async ({ workerAuth }, use) => {
-    await use(workerAuth);
-  },
-
-  // Update login page fixture to use worker auth by default
-  loginPage: async ({ page }, use) => {
-    await use(new LoginPage(page));
-  },
-});
-
-export { expect } from "@playwright/test";
diff --git a/autogpt_platform/frontend/src/tests/fixtures/login-page.fixture.ts b/autogpt_platform/frontend/src/tests/fixtures/login-page.fixture.ts
deleted file mode 100644
index 2bf67c8464e7..000000000000
--- a/autogpt_platform/frontend/src/tests/fixtures/login-page.fixture.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-/* eslint-disable react-hooks/rules-of-hooks */
-import { test as base } from "@playwright/test";
-import { LoginPage } from "../pages/login.page";
-import { Page } from "@playwright/test";
-export const loginPageFixture = base.extend<{ loginPage: LoginPage }>({
-  loginPage: async ({ page }, use) => {
-    await use(new LoginPage(page));
-  },
-});
-
-// Export just the fixture function
-export const createLoginPageFixture = async (
-  { page }: { page: Page },
-  use: (loginPage: LoginPage) => Promise<void>,
-) => {
-  await use(new LoginPage(page));
-};
diff --git a/autogpt_platform/frontend/src/tests/fixtures/test-user.fixture.ts b/autogpt_platform/frontend/src/tests/fixtures/test-user.fixture.ts
deleted file mode 100644
index 76a935aa98bb..000000000000
--- a/autogpt_platform/frontend/src/tests/fixtures/test-user.fixture.ts
+++ /dev/null
@@ -1,83 +0,0 @@
-/* eslint-disable react-hooks/rules-of-hooks */
-import { createClient, SupabaseClient } from "@supabase/supabase-js";
-import { faker } from "@faker-js/faker";
-
-export type TestUser = {
-  email: string;
-  password: string;
-  id?: string;
-};
-
-let supabase: SupabaseClient;
-
-function getSupabaseAdmin() {
-  if (!supabase) {
-    supabase = createClient(
-      process.env.SUPABASE_URL!,
-      process.env.SUPABASE_SERVICE_ROLE_KEY!,
-      {
-        auth: {
-          autoRefreshToken: false,
-          persistSession: false,
-        },
-      },
-    );
-  }
-  return supabase;
-}
-
-async function createTestUser(userData: TestUser): Promise<TestUser> {
-  const supabase = getSupabaseAdmin();
-
-  const { data: authUser, error: authError } = await supabase.auth.signUp({
-    email: userData.email,
-    password: userData.password,
-  });
-
-  if (authError) {
-    throw new Error(`Failed to create test user: ${authError.message}`);
-  }
-
-  return {
-    ...userData,
-    id: authUser.user?.id,
-  };
-}
-
-async function deleteTestUser(userId: string) {
-  const supabase = getSupabaseAdmin();
-
-  try {
-    const { error } = await supabase.auth.admin.deleteUser(userId);
-
-    if (error) {
-      console.warn(`Warning: Failed to delete test user: ${error.message}`);
-    }
-  } catch (error) {
-    console.warn(
-      `Warning: Error during user cleanup: ${(error as Error).message}`,
-    );
-  }
-}
-
-function generateUserData(): TestUser {
-  return {
-    email: `test.${faker.string.uuid()}@example.com`,
-    password: faker.internet.password({ length: 12 }),
-  };
-}
-
-// Export just the fixture function
-export const createTestUserFixture = async ({}, use) => {
-  let user: TestUser | null = null;
-
-  try {
-    const userData = generateUserData();
-    user = await createTestUser(userData);
-    await use(user);
-  } finally {
-    if (user?.id) {
-      await deleteTestUser(user.id);
-    }
-  }
-};
diff --git a/autogpt_platform/frontend/src/tests/global-setup.ts b/autogpt_platform/frontend/src/tests/global-setup.ts
new file mode 100644
index 000000000000..901eb117ef9f
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/global-setup.ts
@@ -0,0 +1,52 @@
+import { FullConfig } from "@playwright/test";
+import { createTestUsers, saveUserPool, loadUserPool } from "./utils/auth";
+
+async function globalSetup(config: FullConfig) {
+  console.log("🚀 Starting global test setup...");
+
+  try {
+    const existingUserPool = await loadUserPool();
+
+    if (existingUserPool && existingUserPool.users.length > 0) {
+      console.log(
+        `♻️ Found existing user pool with ${existingUserPool.users.length} users`,
+      );
+      console.log("✅ Using existing user pool");
+      return;
+    }
+
+    // Create test users using signup page
+    const numberOfUsers = (config.workers || 1) + 8; // workers + buffer
+    console.log(`👥 Creating ${numberOfUsers} test users via signup...`);
+    console.log("⏳ Note: This may take a few minutes in CI environments");
+
+    const users = await createTestUsers(numberOfUsers);
+
+    if (users.length === 0) {
+      throw new Error("Failed to create any test users");
+    }
+
+    // Require at least a minimum number of users for tests to work
+    const minUsers = Math.max(config.workers || 1, 2);
+    if (users.length < minUsers) {
+      throw new Error(
+        `Only created ${users.length} users but need at least ${minUsers} for tests to run properly`,
+      );
+    }
+
+    // Save user pool
+    await saveUserPool(users);
+
+    console.log("✅ Global setup completed successfully!");
+    console.log(`📊 Created ${users.length} test users via signup page`);
+  } catch (error) {
+    console.error("❌ Global setup failed:", error);
+    console.error("💡 This is likely due to:");
+    console.error("   1. Backend services not fully ready");
+    console.error("   2. Network timeouts in CI environment");
+    console.error("   3. Database or authentication issues");
+    throw error;
+  }
+}
+
+export default globalSetup;
diff --git a/autogpt_platform/frontend/src/tests/library.spec.ts b/autogpt_platform/frontend/src/tests/library.spec.ts
new file mode 100644
index 000000000000..57097405352b
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/library.spec.ts
@@ -0,0 +1,292 @@
+import { LibraryPage } from "./pages/library.page";
+import path from "path";
+import test, { expect } from "@playwright/test";
+import { TEST_CREDENTIALS } from "./credentials";
+import { LoginPage } from "./pages/login.page";
+import { getSelectors } from "./utils/selectors";
+import { hasUrl } from "./utils/assertion";
+
+test.describe("Library", () => {
+  let libraryPage: LibraryPage;
+
+  test.beforeEach(async ({ page }) => {
+    libraryPage = new LibraryPage(page);
+
+    await page.goto("/login");
+    const loginPage = new LoginPage(page);
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+  });
+
+  test("library page loads successfully", async ({ page }) => {
+    const { getId } = getSelectors(page);
+    await page.goto("/library");
+
+    await expect(getId("search-bar").first()).toBeVisible();
+    await expect(getId("upload-agent-button").first()).toBeVisible();
+    await expect(getId("sort-by-dropdown").first()).toBeVisible();
+  });
+
+  test("agents are visible and cards work correctly", async ({ page }) => {
+    await page.goto("/library");
+
+    const agents = await libraryPage.getAgents();
+    expect(agents.length).toBeGreaterThan(0);
+
+    const firstAgent = agents[0];
+    expect(firstAgent).toBeTruthy();
+
+    await libraryPage.clickAgent(firstAgent);
+    await hasUrl(page, `/library/agents/${firstAgent.id}`);
+
+    await libraryPage.navigateToLibrary();
+
+    const updatedAgents = await libraryPage.getAgents();
+    const agentWithBuilder = updatedAgents.find((agent) =>
+      agent.openInBuilderUrl.includes("/build"),
+    );
+
+    if (agentWithBuilder) {
+      await libraryPage.clickOpenInBuilder(agentWithBuilder);
+      await page.waitForURL("**/build**");
+      test.expect(page.url()).toContain(`/build`);
+    }
+  });
+
+  test("pagination works correctly", async ({ page }) => {
+    await page.goto("/library");
+
+    const paginationResult = await libraryPage.testPagination();
+
+    if (paginationResult.initialCount >= 10) {
+      expect(paginationResult.finalCount).toBeGreaterThanOrEqual(
+        paginationResult.initialCount,
+      );
+      expect(paginationResult.hasMore).toBeTruthy();
+    }
+
+    await libraryPage.isPaginationWorking();
+
+    const allAgents = await libraryPage.getAgentsWithPagination();
+    test.expect(allAgents.length).toBeGreaterThan(0);
+
+    const displayedCount = await libraryPage.getAgentCount();
+    test.expect(allAgents.length).toEqual(displayedCount);
+  });
+
+  test("sorting works correctly", async ({ page }) => {
+    await page.goto("/library");
+
+    const initialAgents = await libraryPage.getAgents();
+    expect(initialAgents.length).toBeGreaterThan(0);
+
+    await libraryPage.selectSortOption(page, "Creation Date");
+    await libraryPage.waitForAgentsToLoad();
+
+    const creationDateSortOption = await libraryPage.getCurrentSortOption();
+    expect(creationDateSortOption).toContain("Creation Date");
+
+    const creationDateAgents = await libraryPage.getAgents();
+    expect(creationDateAgents.length).toBeGreaterThan(0);
+
+    await libraryPage.selectSortOption(page, "Last Modified");
+    await libraryPage.waitForAgentsToLoad();
+
+    const lastModifiedSortOption = await libraryPage.getCurrentSortOption();
+    expect(lastModifiedSortOption).toContain("Last Modified");
+
+    const lastModifiedAgents = await libraryPage.getAgents();
+    expect(lastModifiedAgents.length).toBeGreaterThan(0);
+
+    if (initialAgents.length > 1) {
+      const initialFirstAgentId = initialAgents[0].id;
+      const creationDateFirstAgentId = creationDateAgents[0].id;
+      const lastModifiedFirstAgentId = lastModifiedAgents[0].id;
+
+      expect(
+        creationDateFirstAgentId !== initialFirstAgentId ||
+          lastModifiedFirstAgentId !== initialFirstAgentId ||
+          creationDateFirstAgentId !== lastModifiedFirstAgentId,
+      ).toBeTruthy();
+    }
+
+    expect(creationDateAgents.length).toEqual(initialAgents.length);
+    expect(lastModifiedAgents.length).toEqual(initialAgents.length);
+  });
+
+  test("searching works correctly", async ({ page }) => {
+    await page.goto("/library");
+
+    const allAgents = await libraryPage.getAgents();
+    expect(allAgents.length).toBeGreaterThan(0);
+
+    const firstAgent = allAgents[0];
+    await libraryPage.searchAgents(firstAgent.name);
+    await libraryPage.waitForAgentsToLoad();
+
+    const searchResults = await libraryPage.getAgents();
+    expect(searchResults.length).toBeGreaterThan(0);
+
+    const foundAgent = searchResults.find(
+      (agent) => agent.name === firstAgent.name,
+    );
+    expect(foundAgent).toBeTruthy();
+
+    const searchValue = await libraryPage.getSearchValue();
+    expect(searchValue).toBe(firstAgent.name);
+
+    const partialSearchTerm = firstAgent.name.substring(0, 3);
+    await libraryPage.searchAgents(partialSearchTerm);
+    await libraryPage.waitForAgentsToLoad();
+
+    const partialSearchResults = await libraryPage.getAgents();
+    expect(partialSearchResults.length).toBeGreaterThan(0);
+
+    const matchingAgents = partialSearchResults.filter((agent) =>
+      agent.name.toLowerCase().includes(partialSearchTerm.toLowerCase()),
+    );
+    expect(matchingAgents.length).toBeGreaterThan(0);
+
+    await libraryPage.searchAgents("nonexistentagentnamethatdoesnotexist");
+    const noResults = await libraryPage.getAgentCount();
+    expect(noResults).toBe(0);
+
+    const hasNoAgentsMessage = await libraryPage.hasNoAgentsMessage();
+    expect(hasNoAgentsMessage).toBeTruthy();
+
+    await libraryPage.clearSearch();
+    await libraryPage.waitForAgentsToLoad();
+
+    const clearedSearchResults = await libraryPage.getAgents();
+    test.expect(clearedSearchResults.length).toEqual(allAgents.length);
+
+    const clearedSearchValue = await libraryPage.getSearchValue();
+    test.expect(clearedSearchValue).toBe("");
+  });
+
+  test("pagination while searching works correctly", async ({ page }) => {
+    await page.goto("/library");
+
+    const allAgents = await libraryPage.getAgents();
+    test.expect(allAgents.length).toBeGreaterThan(0);
+
+    const searchTerm = "Agent";
+
+    await libraryPage.searchAgents(searchTerm);
+    await libraryPage.waitForAgentsToLoad();
+
+    const initialSearchResults = await libraryPage.getAgents();
+    expect(initialSearchResults.length).toBeGreaterThan(0);
+
+    const matchingResults = initialSearchResults.filter((agent) =>
+      agent.name.toLowerCase().includes(searchTerm.toLowerCase()),
+    );
+    expect(matchingResults.length).toEqual(initialSearchResults.length);
+
+    const searchPaginationResult = await libraryPage.testPagination();
+
+    if (searchPaginationResult.initialCount >= 10) {
+      expect(searchPaginationResult.finalCount).toBeGreaterThanOrEqual(
+        searchPaginationResult.initialCount,
+      );
+
+      const allPaginatedResults = await libraryPage.getAgentsWithPagination();
+      const matchingPaginatedResults = allPaginatedResults.filter((agent) =>
+        agent.name.toLowerCase().includes(searchTerm.toLowerCase()),
+      );
+      expect(matchingPaginatedResults.length).toEqual(
+        allPaginatedResults.length,
+      );
+    } else {
+    }
+
+    await libraryPage.scrollAndWaitForNewAgents();
+
+    const finalSearchResults = await libraryPage.getAgents();
+    const finalMatchingResults = finalSearchResults.filter((agent) =>
+      agent.name.toLowerCase().includes(searchTerm.toLowerCase()),
+    );
+    expect(finalMatchingResults.length).toEqual(finalSearchResults.length);
+
+    const preservedSearchValue = await libraryPage.getSearchValue();
+    expect(preservedSearchValue).toBe(searchTerm);
+
+    await libraryPage.clearSearch();
+    await libraryPage.waitForAgentsToLoad();
+
+    const clearedResults = await libraryPage.getAgents();
+    expect(clearedResults.length).toBeGreaterThanOrEqual(
+      initialSearchResults.length,
+    );
+  });
+
+  test("uploading an agent works correctly", async ({ page }) => {
+    await page.goto("/library");
+
+    await libraryPage.openUploadDialog();
+
+    expect(await libraryPage.isUploadDialogVisible()).toBeTruthy();
+    expect(await libraryPage.isUploadButtonEnabled()).toBeFalsy();
+
+    const testAgentName = "Test Upload Agent";
+    const testAgentDescription = "This is a test agent uploaded via automation";
+    await libraryPage.fillUploadForm(testAgentName, testAgentDescription);
+
+    const fileInput = page.locator('input[type="file"]');
+    const testAgentPath = path.resolve(
+      __dirname,
+      "assets",
+      "testing_agent.json",
+    );
+    await fileInput.setInputFiles(testAgentPath);
+
+    await page.waitForTimeout(1000);
+
+    expect(await libraryPage.isUploadButtonEnabled()).toBeTruthy();
+
+    await page.getByRole("button", { name: "Upload Agent" }).click();
+
+    await page.waitForURL("**/build**", { timeout: 10000 });
+    expect(page.url()).toContain("/build");
+
+    await page.goto("/library");
+
+    await libraryPage.searchAgents(testAgentName);
+    await libraryPage.waitForAgentsToLoad();
+
+    const searchResults = await libraryPage.getAgents();
+    test.expect(searchResults.length).toBeGreaterThan(0);
+
+    const uploadedAgent = searchResults.find((agent) =>
+      agent.name.includes(testAgentName),
+    );
+    test.expect(uploadedAgent).toBeTruthy();
+
+    if (uploadedAgent) {
+      test.expect(uploadedAgent.name).toContain(testAgentName);
+      test.expect(uploadedAgent.description).toContain(testAgentDescription);
+      test.expect(uploadedAgent.seeRunsUrl).toBeTruthy();
+      test.expect(uploadedAgent.openInBuilderUrl).toBeTruthy();
+
+      await libraryPage.clickAgent(uploadedAgent);
+      await page.waitForURL(`**/library/agents/${uploadedAgent.id}**`, {
+        timeout: 10000,
+      });
+
+      await page.getByRole("button", { name: "Delete agent" }).click();
+      await page.waitForTimeout(500);
+      await page.getByRole("button", { name: "Delete" }).click();
+
+      await page.waitForTimeout(1000);
+      await libraryPage.navigateToLibrary();
+      await libraryPage.waitForAgentsToLoad();
+
+      await libraryPage.searchAgents(testAgentName);
+      await libraryPage.waitForAgentsToLoad();
+      const deletedSearchResults = await libraryPage.getAgentCount();
+      expect(deletedSearchResults).toBe(0);
+    }
+    await libraryPage.clearSearch();
+    await libraryPage.waitForAgentsToLoad();
+  });
+});
diff --git a/autogpt_platform/frontend/src/tests/marketplace-agent.spec.ts b/autogpt_platform/frontend/src/tests/marketplace-agent.spec.ts
new file mode 100644
index 000000000000..9964d58e60a7
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/marketplace-agent.spec.ts
@@ -0,0 +1,109 @@
+import { test, expect } from "@playwright/test";
+import { MarketplacePage } from "./pages/marketplace.page";
+import { LoginPage } from "./pages/login.page";
+import { isVisible, hasUrl, matchesUrl } from "./utils/assertion";
+import { TEST_CREDENTIALS } from "./credentials";
+import { getSelectors } from "./utils/selectors";
+
+test.describe("Marketplace Agent Page - Basic Functionality", () => {
+  test("User can access agent page when logged out", async ({ page }) => {
+    const marketplacePage = new MarketplacePage(page);
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const firstStoreCard = await marketplacePage.getFirstTopAgent();
+    await firstStoreCard.click();
+
+    await page.waitForURL("**/marketplace/agent/**");
+    await matchesUrl(page, /\/marketplace\/agent\/.+/);
+  });
+
+  test("User can access agent page when logged in", async ({ page }) => {
+    const loginPage = new LoginPage(page);
+    const marketplacePage = new MarketplacePage(page);
+
+    await loginPage.goto();
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const firstStoreCard = await marketplacePage.getFirstTopAgent();
+    await firstStoreCard.click();
+
+    await page.waitForURL("**/marketplace/agent/**");
+    await matchesUrl(page, /\/marketplace\/agent\/.+/);
+  });
+
+  test("Agent page details are visible", async ({ page }) => {
+    const { getId } = getSelectors(page);
+
+    const marketplacePage = new MarketplacePage(page);
+    await marketplacePage.goto(page);
+
+    const firstStoreCard = await marketplacePage.getFirstTopAgent();
+    await firstStoreCard.click();
+    await page.waitForURL("**/marketplace/agent/**");
+
+    const agentTitle = getId("agent-title");
+    await isVisible(agentTitle);
+
+    const agentDescription = getId("agent-description");
+    await isVisible(agentDescription);
+
+    const creatorInfo = getId("agent-creator");
+    await isVisible(creatorInfo);
+  });
+
+  test("Download button functionality works", async ({ page }) => {
+    const { getId, getText } = getSelectors(page);
+
+    const marketplacePage = new MarketplacePage(page);
+    await marketplacePage.goto(page);
+
+    const firstStoreCard = await marketplacePage.getFirstTopAgent();
+    await firstStoreCard.click();
+    await page.waitForURL("**/marketplace/agent/**");
+
+    const downloadButton = getId("agent-download-button");
+    await isVisible(downloadButton);
+    await downloadButton.click();
+
+    const downloadSuccessMessage = getText(
+      "Your agent has been successfully downloaded.",
+    );
+    await isVisible(downloadSuccessMessage);
+  });
+
+  test("Add to library button works and agent appears in library", async ({
+    page,
+  }) => {
+    const { getId, getText } = getSelectors(page);
+
+    const loginPage = new LoginPage(page);
+    const marketplacePage = new MarketplacePage(page);
+
+    await loginPage.goto();
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+    await marketplacePage.goto(page);
+
+    const firstStoreCard = await marketplacePage.getFirstTopAgent();
+    await firstStoreCard.click();
+    await page.waitForURL("**/marketplace/agent/**");
+
+    const addToLibraryButton = getId("agent-add-library-button");
+    await isVisible(addToLibraryButton);
+    await addToLibraryButton.click();
+
+    const addSuccessMessage = getText("Redirecting to your library...");
+    await isVisible(addSuccessMessage);
+
+    await page.waitForURL("**/library/agents/**");
+    const agentNameOnLibrary = await getId("agent-title").textContent();
+    expect(
+      agentNameOnLibrary && agentNameOnLibrary.trim().length,
+    ).toBeGreaterThan(0);
+  });
+});
diff --git a/autogpt_platform/frontend/src/tests/marketplace-creator.spec.ts b/autogpt_platform/frontend/src/tests/marketplace-creator.spec.ts
new file mode 100644
index 000000000000..8b3e2e1e64de
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/marketplace-creator.spec.ts
@@ -0,0 +1,79 @@
+import { test } from "@playwright/test";
+import { MarketplacePage } from "./pages/marketplace.page";
+import { LoginPage } from "./pages/login.page";
+import { isVisible, hasUrl, matchesUrl } from "./utils/assertion";
+import { TEST_CREDENTIALS } from "./credentials";
+import { getSelectors } from "./utils/selectors";
+
+test.describe("Marketplace Creator Page – Basic Functionality", () => {
+  test("User can access creator's page when logged out", async ({ page }) => {
+    const marketplacePage = new MarketplacePage(page);
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const firstCreatorProfile =
+      await marketplacePage.getFirstCreatorProfile(page);
+    await firstCreatorProfile.click();
+
+    await page.waitForURL("**/marketplace/creator/**");
+    await matchesUrl(page, /\/marketplace\/creator\/.+/);
+  });
+
+  test("User can access creator's page when logged in", async ({ page }) => {
+    const loginPage = new LoginPage(page);
+    const marketplacePage = new MarketplacePage(page);
+
+    await loginPage.goto();
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const firstCreatorProfile =
+      await marketplacePage.getFirstCreatorProfile(page);
+    await firstCreatorProfile.click();
+
+    await page.waitForURL("**/marketplace/creator/**");
+    await matchesUrl(page, /\/marketplace\/creator\/.+/);
+  });
+
+  test("Creator page details are visible", async ({ page }) => {
+    const { getId } = getSelectors(page);
+    const marketplacePage = new MarketplacePage(page);
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const firstCreatorProfile =
+      await marketplacePage.getFirstCreatorProfile(page);
+    await firstCreatorProfile.click();
+    await page.waitForURL("**/marketplace/creator/**");
+
+    const creatorTitle = getId("creator-title");
+    await isVisible(creatorTitle);
+
+    const creatorDescription = getId("creator-description");
+    await isVisible(creatorDescription);
+  });
+
+  test("Agents in agent by sections navigation works", async ({ page }) => {
+    const marketplacePage = new MarketplacePage(page);
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const firstCreatorProfile =
+      await marketplacePage.getFirstCreatorProfile(page);
+    await firstCreatorProfile.click();
+    await page.waitForURL("**/marketplace/creator/**");
+    const firstAgent = page
+      .locator('[data-testid="store-card"]:visible')
+      .first();
+
+    await firstAgent.click();
+    await page.waitForURL("**/marketplace/agent/**");
+    await matchesUrl(page, /\/marketplace\/agent\/.+/);
+  });
+});
diff --git a/autogpt_platform/frontend/src/tests/marketplace.spec.ts b/autogpt_platform/frontend/src/tests/marketplace.spec.ts
new file mode 100644
index 000000000000..8bbc1cef9066
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/marketplace.spec.ts
@@ -0,0 +1,150 @@
+import { test, expect } from "@playwright/test";
+import { MarketplacePage } from "./pages/marketplace.page";
+import { LoginPage } from "./pages/login.page";
+import { isVisible, hasUrl, hasMinCount, matchesUrl } from "./utils/assertion";
+import { TEST_CREDENTIALS } from "./credentials";
+
+test.describe("Marketplace – Basic Functionality", () => {
+  test("User can access marketplace page when logged out", async ({ page }) => {
+    const marketplacePage = new MarketplacePage(page);
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const marketplaceTitle = await marketplacePage.getMarketplaceTitle(page);
+    await isVisible(marketplaceTitle);
+
+    console.log(
+      "User can access marketplace page when logged out test passed ✅",
+    );
+  });
+
+  test("User can access marketplace page when logged in", async ({ page }) => {
+    const loginPage = new LoginPage(page);
+    const marketplacePage = new MarketplacePage(page);
+
+    await loginPage.goto();
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+
+    await marketplacePage.goto(page);
+    await hasUrl(page, "/marketplace");
+
+    const marketplaceTitle = await marketplacePage.getMarketplaceTitle(page);
+    await isVisible(marketplaceTitle);
+
+    console.log(
+      "User can access marketplace page when logged in test passed ✅",
+    );
+  });
+
+  test("Featured agents, top agents, and featured creators are visible", async ({
+    page,
+  }) => {
+    const marketplacePage = new MarketplacePage(page);
+    await marketplacePage.goto(page);
+
+    const featuredAgentsSection =
+      await marketplacePage.getFeaturedAgentsSection(page);
+    await isVisible(featuredAgentsSection);
+    const featuredAgentCards =
+      await marketplacePage.getFeaturedAgentCards(page);
+    await hasMinCount(featuredAgentCards, 1);
+
+    const topAgentsSection = await marketplacePage.getTopAgentsSection(page);
+    await isVisible(topAgentsSection);
+    const topAgentCards = await marketplacePage.getTopAgentCards(page);
+    await hasMinCount(topAgentCards, 1);
+
+    const featuredCreatorsSection =
+      await marketplacePage.getFeaturedCreatorsSection(page);
+    await isVisible(featuredCreatorsSection);
+    const creatorProfiles = await marketplacePage.getCreatorProfiles(page);
+    await hasMinCount(creatorProfiles, 1);
+
+    console.log(
+      "Featured agents, top agents, and featured creators are visible test passed ✅",
+    );
+  });
+
+  test("Can navigate and interact with marketplace elements", async ({
+    page,
+  }) => {
+    const marketplacePage = new MarketplacePage(page);
+    await marketplacePage.goto(page);
+
+    const firstFeaturedAgent =
+      await marketplacePage.getFirstFeaturedAgent(page);
+    await firstFeaturedAgent.waitFor({ state: "visible" });
+    await firstFeaturedAgent.click();
+    await page.waitForURL("**/marketplace/agent/**");
+    await matchesUrl(page, /\/marketplace\/agent\/.+/);
+    await marketplacePage.goto(page);
+
+    const firstTopAgent = await marketplacePage.getFirstTopAgent();
+    await firstTopAgent.click();
+    await page.waitForURL("**/marketplace/agent/**");
+    await matchesUrl(page, /\/marketplace\/agent\/.+/);
+    await marketplacePage.goto(page);
+
+    const firstCreatorProfile =
+      await marketplacePage.getFirstCreatorProfile(page);
+    await firstCreatorProfile.click();
+    await page.waitForURL("**/marketplace/creator/**");
+    await matchesUrl(page, /\/marketplace\/creator\/.+/);
+
+    console.log(
+      "Can navigate and interact with marketplace elements test passed ✅",
+    );
+  });
+
+  test("Complete search flow works correctly", async ({ page }) => {
+    const marketplacePage = new MarketplacePage(page);
+    await marketplacePage.goto(page);
+
+    await marketplacePage.searchAndNavigate("DummyInput", page);
+
+    await marketplacePage.waitForSearchResults();
+
+    await matchesUrl(page, /\/marketplace\/search\?searchTerm=/);
+
+    const resultsHeading = page.getByText("Results for:");
+    await isVisible(resultsHeading);
+
+    const searchTerm = page.getByText("DummyInput").first();
+    await isVisible(searchTerm);
+
+    await page.waitForTimeout(10000);
+
+    const results = await marketplacePage.getSearchResultsCount(page);
+    expect(results).toBeGreaterThan(0);
+
+    console.log("Complete search flow works correctly test passed ✅");
+  });
+
+  // We need to add a test search with filters, but the current business logic for filters doesn't work as expected. We'll add it once we modify that.
+});
+
+test.describe("Marketplace – Edge Cases", () => {
+  test("Search for non-existent item shows no results", async ({ page }) => {
+    const marketplacePage = new MarketplacePage(page);
+    await marketplacePage.goto(page);
+
+    await marketplacePage.searchAndNavigate("xyznonexistentitemxyz123", page);
+
+    await marketplacePage.waitForSearchResults();
+
+    await matchesUrl(page, /\/marketplace\/search\?searchTerm=/);
+
+    const resultsHeading = page.getByText("Results for:");
+    await isVisible(resultsHeading);
+
+    const searchTerm = page.getByText("xyznonexistentitemxyz123");
+    await isVisible(searchTerm);
+
+    const results = await marketplacePage.getSearchResultsCount(page);
+    expect(results).toBe(0);
+
+    console.log("Search for non-existent item shows no results test passed ✅");
+  });
+});
diff --git a/autogpt_platform/frontend/src/tests/monitor.spec.ts b/autogpt_platform/frontend/src/tests/monitor.spec.ts
index a8a7221f75e6..e4be066bdc62 100644
--- a/autogpt_platform/frontend/src/tests/monitor.spec.ts
+++ b/autogpt_platform/frontend/src/tests/monitor.spec.ts
@@ -1,125 +1,140 @@
-import { expect, TestInfo } from "@playwright/test";
-import { test } from "./fixtures";
+import test, { expect, TestInfo } from "@playwright/test";
+
 import { BuildPage } from "./pages/build.page";
 import { MonitorPage } from "./pages/monitor.page";
 import { v4 as uuidv4 } from "uuid";
 import * as fs from "fs/promises";
 import path from "path";
+import { LoginPage } from "./pages/login.page";
+import { getTestUser } from "./utils/auth";
+import { hasUrl } from "./utils/assertion";
+import {
+  navigateToLibrary,
+  clickFirstAgent,
+  runAgent,
+  waitForAgentPageLoad,
+} from "./pages/library.page";
+
+test.describe.configure({
+  mode: "parallel",
+  timeout: 30000,
+});
 // --8<-- [start:AttachAgentId]
+test.beforeEach(async ({ page }, testInfo: TestInfo) => {
+  const loginPage = new LoginPage(page);
+  const testUser = await getTestUser();
+  const monitorPage = new MonitorPage(page);
 
-test.describe.skip("Monitor", () => {
-  let buildPage: BuildPage;
-  let monitorPage: MonitorPage;
-
-  test.beforeEach(async ({ page, loginPage, testUser }, testInfo: TestInfo) => {
-    buildPage = new BuildPage(page);
-    monitorPage = new MonitorPage(page);
-
-    // Start each test with login using worker auth
-    await page.goto("/login");
-    await loginPage.login(testUser.email, testUser.password);
-    await test.expect(page).toHaveURL("/");
-
-    // add a test agent
-    const basicBlock = await buildPage.getDictionaryBlockDetails();
-    const id = uuidv4();
-    await buildPage.createSingleBlockAgent(
-      `test-agent-${id}`,
-      `test-agent-description-${id}`,
-      basicBlock,
-    );
-    await buildPage.runAgent();
-    await monitorPage.navbar.clickMonitorLink();
-    await monitorPage.waitForPageLoad();
-    await test.expect(monitorPage.isLoaded()).resolves.toBeTruthy();
-    testInfo.attach("agent-id", { body: id });
-  });
-  // --8<-- [end:AttachAgentId]
-
-  test.afterAll(async ({}) => {
-    // clear out the downloads folder
-    console.log(
-      `clearing out the downloads folder ${monitorPage.downloadsFolder}`,
-    );
-
-    await fs.rm(`${monitorPage.downloadsFolder}/monitor`, {
-      recursive: true,
-      force: true,
-    });
-  });
+  // Start each test with login using worker auth
+  await page.goto("/login");
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
 
-  test("user can view agents", async ({ page }) => {
-    const agents = await monitorPage.listAgents();
-    // there should be at least one agent
-    await test.expect(agents.length).toBeGreaterThan(0);
-  });
+  // Navigate to library and run the first agent
+  await navigateToLibrary(page);
+  await clickFirstAgent(page);
+  await waitForAgentPageLoad(page);
+  await runAgent(page);
 
-  test("user can export and import agents", async ({
-    page,
-  }, testInfo: TestInfo) => {
-    // --8<-- [start:ReadAgentId]
-    if (testInfo.attachments.length === 0 || !testInfo.attachments[0].body) {
-      throw new Error("No agent id attached to the test");
-    }
-    const id = testInfo.attachments[0].body.toString();
-    // --8<-- [end:ReadAgentId]
-    const agents = await monitorPage.listAgents();
-
-    const downloadPromise = page.waitForEvent("download");
-    await monitorPage.exportToFile(
-      agents.find((a: any) => a.id === id) || agents[0],
-    );
-    const download = await downloadPromise;
-
-    // Wait for the download process to complete and save the downloaded file somewhere.
-    await download.saveAs(
-      `${monitorPage.downloadsFolder}/monitor/${download.suggestedFilename()}`,
-    );
-    console.log(`downloaded file to ${download.suggestedFilename()}`);
-    await test.expect(download.suggestedFilename()).toBeDefined();
-    // test-agent-uuid-v1.json
-    if (id) {
-      await test.expect(download.suggestedFilename()).toContain(id);
-    }
-    await test.expect(download.suggestedFilename()).toContain("test-agent-");
-    await test.expect(download.suggestedFilename()).toContain("v1.json");
-
-    // import the agent
-    const preImportAgents = await monitorPage.listAgents();
-    const filesInFolder = await fs.readdir(
-      `${monitorPage.downloadsFolder}/monitor`,
-    );
-    const importFile = filesInFolder.find((f) => f.includes(id));
-    if (!importFile) {
-      throw new Error(`No import file found for agent ${id}`);
-    }
-    const baseName = importFile.split(".")[0];
-    await monitorPage.importFromFile(
-      path.resolve(monitorPage.downloadsFolder, "monitor"),
-      importFile,
-      baseName + "-imported",
-    );
-
-    // You'll be dropped at the build page, so hit run and then go back to monitor
-    await buildPage.runAgent();
-    await monitorPage.navbar.clickMonitorLink();
-    await monitorPage.waitForPageLoad();
-
-    const postImportAgents = await monitorPage.listAgents();
-    await test
-      .expect(postImportAgents.length)
-      .toBeGreaterThan(preImportAgents.length);
-    console.log(`postImportAgents: ${JSON.stringify(postImportAgents)}`);
-    const importedAgent = postImportAgents.find(
-      (a: any) => a.name === `${baseName}-imported`,
-    );
-    await test.expect(importedAgent).toBeDefined();
-  });
+  // Navigate to monitoring page
+  await page.goto("/monitoring");
+  await test.expect(monitorPage.isLoaded()).resolves.toBeTruthy();
+
+  // Generate a test ID for tracking
+  const id = uuidv4();
+  testInfo.attach("agent-id", { body: id });
+});
+// --8<-- [end:AttachAgentId]
 
-  test("user can view runs", async ({ page }) => {
-    const runs = await monitorPage.listRuns();
-    console.log(runs);
-    // there should be at least one run
-    await test.expect(runs.length).toBeGreaterThan(0);
+test.afterAll(async () => {
+  // clear out the downloads folder
+  const downloadsFolder = process.cwd() + "/downloads";
+  console.log(`clearing out the downloads folder ${downloadsFolder}/monitor`);
+
+  await fs.rm(`${downloadsFolder}/monitor`, {
+    recursive: true,
+    force: true,
   });
 });
+
+test.skip("user can export and import agents", async ({
+  page,
+}, testInfo: TestInfo) => {
+  const monitorPage = new MonitorPage(page);
+  const buildPage = new BuildPage(page);
+
+  // --8<-- [start:ReadAgentId]
+  if (testInfo.attachments.length === 0 || !testInfo.attachments[0].body) {
+    throw new Error("No agent id attached to the test");
+  }
+
+  const testAttachName = testInfo.attachments[0].body.toString();
+  // --8<-- [end:ReadAgentId]
+  const agents = await monitorPage.listAgents();
+
+  const downloadPromise = page.waitForEvent("download");
+
+  const agent = agents.find(
+    (a: any) => a.name === `test-agent-${testAttachName}`,
+  );
+
+  if (!agent) throw new Error(`Agent ${testAttachName} not found`);
+
+  await monitorPage.exportToFile(agent);
+  const download = await downloadPromise;
+
+  // Wait for the download process to complete and save the downloaded file somewhere.
+  await download.saveAs(
+    `${monitorPage.downloadsFolder}/monitor/${download.suggestedFilename()}`,
+  );
+
+  console.log(`downloaded file to ${download.suggestedFilename()}`);
+
+  expect(download.suggestedFilename()).toBeDefined();
+  expect(download.suggestedFilename()).toContain("test-agent-");
+  expect(download.suggestedFilename()).toContain("v1.json");
+
+  // import the agent
+  const preImportAgents = await monitorPage.listAgents();
+
+  const filesInFolder = await fs.readdir(
+    `${monitorPage.downloadsFolder}/monitor`,
+  );
+
+  const importFile = filesInFolder.find((f) => f.includes(testAttachName));
+  if (!importFile) {
+    throw new Error(`No import file found for agent ${testAttachName}`);
+  }
+
+  const baseName = importFile.split(".")[0];
+
+  await monitorPage.importFromFile(
+    path.resolve(monitorPage.downloadsFolder, "monitor"),
+    importFile,
+    baseName + "-imported",
+  );
+
+  // You'll be dropped at the build page, so hit run and then go back to monitor
+  await buildPage.runAgent();
+  await monitorPage.navbar.clickMonitorLink();
+
+  const postImportAgents = await monitorPage.listAgents();
+
+  expect(postImportAgents.length).toBeGreaterThan(preImportAgents.length);
+
+  console.log(`postImportAgents: ${JSON.stringify(postImportAgents)}`);
+
+  const importedAgent = postImportAgents.find(
+    (a: any) => a.name === `${baseName}-imported`,
+  );
+
+  expect(importedAgent).toBeDefined();
+});
+
+test.skip("user can view runs and agents", async ({ page }) => {
+  const monitorPage = new MonitorPage(page);
+  // const runs = await monitorPage.listRuns();
+  const agents = await monitorPage.listAgents();
+
+  expect(agents.length).toBeGreaterThan(0);
+});
diff --git a/autogpt_platform/frontend/src/tests/pages/base.page.ts b/autogpt_platform/frontend/src/tests/pages/base.page.ts
index a79e2eb4a922..b8c0c7b80162 100644
--- a/autogpt_platform/frontend/src/tests/pages/base.page.ts
+++ b/autogpt_platform/frontend/src/tests/pages/base.page.ts
@@ -8,10 +8,4 @@ export class BasePage {
   constructor(protected page: Page) {
     this.navbar = new NavBar(page);
   }
-
-  async waitForPageLoad() {
-    // Common page load waiting logic
-    console.log(`waiting for page to load`);
-    await this.page.waitForLoadState("domcontentloaded", { timeout: 10_000 });
-  }
 }
diff --git a/autogpt_platform/frontend/src/tests/pages/build.page.ts b/autogpt_platform/frontend/src/tests/pages/build.page.ts
index 63191add1059..44f90951bcaa 100644
--- a/autogpt_platform/frontend/src/tests/pages/build.page.ts
+++ b/autogpt_platform/frontend/src/tests/pages/build.page.ts
@@ -1,17 +1,27 @@
-import { ElementHandle, Locator, Page } from "@playwright/test";
+import { expect, Locator, Page } from "@playwright/test";
 import { BasePage } from "./base.page";
+import { Block as APIBlock } from "../../lib/autogpt-server-api/types";
+import { beautifyString } from "../../lib/utils";
+import { isVisible } from "../utils/assertion";
 
-interface Block {
+export interface Block {
   id: string;
   name: string;
   description: string;
+  type: string;
 }
 
 export class BuildPage extends BasePage {
+  private cachedBlocks: Record<string, Block> = {};
+
   constructor(page: Page) {
     super(page);
   }
 
+  private getDisplayName(blockName: string): string {
+    return beautifyString(blockName).replace(/ Block$/, "");
+  }
+
   async closeTutorial(): Promise<void> {
     console.log(`closing tutorial`);
     try {
@@ -24,27 +34,24 @@ export class BuildPage extends BasePage {
   }
 
   async openBlocksPanel(): Promise<void> {
-    if (
-      !(await this.page.getByTestId("blocks-control-blocks-label").isVisible())
-    ) {
+    const isPanelOpen = await this.page
+      .getByTestId("blocks-control-blocks-label")
+      .isVisible();
+
+    if (!isPanelOpen) {
       await this.page.getByTestId("blocks-control-blocks-button").click();
     }
   }
 
   async closeBlocksPanel(): Promise<void> {
-    console.log(`closing blocks panel`);
-    if (
-      await this.page.getByTestId("blocks-control-blocks-label").isVisible()
-    ) {
-      await this.page.getByTestId("blocks-control-blocks-button").click();
-    }
+    await this.page.getByTestId("profile-popout-menu-trigger").click();
   }
 
   async saveAgent(
     name: string = "Test Agent",
     description: string = "",
   ): Promise<void> {
-    console.log(`saving agent ${name} with description ${description}`);
+    console.log(`💾 Saving agent '${name}' with description '${description}'`);
     await this.page.getByTestId("blocks-control-save-button").click();
     await this.page.getByTestId("save-control-name-input").fill(name);
     await this.page
@@ -53,12 +60,118 @@ export class BuildPage extends BasePage {
     await this.page.getByTestId("save-control-save-agent-button").click();
   }
 
-  async getBlocks(): Promise<Block[]> {
-    console.log(`getting blocks in sidebar panel`);
+  async getBlocksFromAPI(): Promise<Block[]> {
+    if (Object.keys(this.cachedBlocks).length > 0) {
+      return Object.values(this.cachedBlocks);
+    }
+
+    console.log(`Getting blocks from API request`);
+
+    // Make direct API request using the page's request context
+    const response = await this.page.request.get(
+      "http://localhost:3000/api/proxy/api/blocks",
+    );
+    const apiBlocks: APIBlock[] = await response.json();
+
+    console.log(`Found ${apiBlocks.length} blocks from API`);
+
+    // Convert API blocks to test Block format
+    const blocks = apiBlocks.map((block) => ({
+      id: block.id,
+      name: block.name,
+      description: block.description,
+      type: block.uiType,
+    }));
+
+    this.cachedBlocks = blocks.reduce(
+      (acc, block) => {
+        acc[block.id] = block;
+        return acc;
+      },
+      {} as Record<string, Block>,
+    );
+    return blocks;
+  }
+
+  async getFilteredBlocksFromAPI(
+    filterFn: (block: Block) => boolean,
+  ): Promise<Block[]> {
+    console.log(`Getting filtered blocks from API`);
+    const blocks = await this.getBlocksFromAPI();
+    return blocks.filter(filterFn);
+  }
+
+  async addBlock(block: Block): Promise<void> {
+    console.log(`Adding block ${block.name} (${block.id}) to agent`);
+
+    await this.openBlocksPanel();
+
+    const searchInput = this.page.locator(
+      '[data-id="blocks-control-search-input"]',
+    );
+
+    const displayName = this.getDisplayName(block.name);
+    await searchInput.clear();
+    await searchInput.fill(displayName);
+    await this.page.waitForTimeout(500);
+
+    const blockCard = this.page.getByTestId(`block-name-${block.id}`);
+    if (await blockCard.isVisible()) {
+      await blockCard.click();
+      const blockInEditor = this.page.getByTestId(block.id).first();
+      expect(blockInEditor).toBeAttached();
+    } else {
+      console.log(
+        `❌ ❌  Block ${block.name} (display: ${displayName}) returned from the API but not found in block list`,
+      );
+    }
+  }
+
+  async hasBlock(block: Block) {
+    const blockInEditor = this.page.getByTestId(block.id).first();
+    await blockInEditor.isVisible();
+  }
+
+  async getBlockInputs(blockId: string): Promise<string[]> {
+    console.log(`Getting block ${blockId} inputs`);
     try {
-      const blocks = await this.page.locator('[data-id^="block-card-"]').all();
+      const node = this.page.locator(`[data-blockid="${blockId}"]`).first();
+      const inputsData = await node.getAttribute("data-inputs");
+      return inputsData ? JSON.parse(inputsData) : [];
+    } catch (error) {
+      console.error("Error getting block inputs:", error);
+      return [];
+    }
+  }
+
+  async selectBlockCategory(category: string): Promise<void> {
+    console.log(`Selecting block category: ${category}`);
+    await this.page.getByText(category, { exact: true }).click();
+    // Wait for the blocks to load after category selection
+    await this.page.waitForTimeout(3000);
+  }
+
+  async getBlocksForCategory(category: string): Promise<Block[]> {
+    console.log(`Getting blocks for category: ${category}`);
+
+    // Clear any existing search to ensure we see all blocks in the category
+    const searchInput = this.page.locator(
+      '[data-id="blocks-control-search-input"]',
+    );
+    await searchInput.clear();
 
-      console.log(`found ${blocks.length} blocks`);
+    // Wait for search to clear
+    await this.page.waitForTimeout(300);
+
+    // Select the category first
+    await this.selectBlockCategory(category);
+
+    try {
+      const blockFinder = this.page.locator('[data-id^="block-card-"]');
+      await blockFinder.first().waitFor();
+      const blocks = await blockFinder.all();
+
+      console.log(`found ${blocks.length} blocks in category ${category}`);
 
       const results = await Promise.all(
         blocks.map(async (block) => {
@@ -72,10 +185,12 @@ export class BuildPage extends BasePage {
 
             const name = (await nameElement.textContent()) || "";
             const description = (await descriptionElement.textContent()) || "";
+            const type = (await nameElement.getAttribute("data-type")) || "";
 
             return {
               id,
               name: name.trim(),
+              type: type.trim(),
               description: description.trim(),
             };
           } catch (elementError) {
@@ -88,67 +203,13 @@ export class BuildPage extends BasePage {
       // Filter out any null results from errors
       return results.filter((block): block is Block => block !== null);
     } catch (error) {
-      console.error("Error getting blocks:", error);
+      console.error(`Error getting blocks for category ${category}:`, error);
       return [];
     }
   }
 
-  async addBlock(block: Block): Promise<void> {
-    console.log(`adding block ${block.id} ${block.name} to agent`);
-    await this.page.getByTestId(`block-name-${block.id}`).click();
-  }
-
-  async isRFNodeVisible(nodeId: string): Promise<boolean> {
-    console.log(`checking if RF node ${nodeId} is visible on page`);
-    return await this.page.getByTestId(`rf__node-${nodeId}`).isVisible();
-  }
-
-  async hasBlock(block: Block): Promise<boolean> {
-    console.log(
-      `checking if block ${block.id} ${block.name} is visible on page`,
-    );
-    try {
-      // Use both ID and name for most precise matching
-      const node = await this.page
-        .locator(`[data-blockid="${block.id}"]`)
-        .first();
-      return await node.isVisible();
-    } catch (error) {
-      console.error("Error checking for block:", error);
-      return false;
-    }
-  }
-
-  async getBlockInputs(blockId: string): Promise<string[]> {
-    console.log(`getting block ${blockId} inputs`);
-    try {
-      const node = await this.page
-        .locator(`[data-blockid="${blockId}"]`)
-        .first();
-      const inputsData = await node.getAttribute("data-inputs");
-      return inputsData ? JSON.parse(inputsData) : [];
-    } catch (error) {
-      console.error("Error getting block inputs:", error);
-      return [];
-    }
-  }
-
-  async getBlockOutputs(blockId: string): Promise<string[]> {
-    throw new Error("Not implemented");
-    // try {
-    //   const node = await this.page
-    //     .locator(`[data-blockid="${blockId}"]`)
-    //     .first();
-    //   const outputsData = await node.getAttribute("data-outputs");
-    //   return outputsData ? JSON.parse(outputsData) : [];
-    // } catch (error) {
-    //   console.error("Error getting block outputs:", error);
-    //   return [];
-    // }
-  }
-
   async _buildBlockSelector(blockId: string, dataId?: string): Promise<string> {
-    let selector = dataId
+    const selector = dataId
       ? `[data-id="${dataId}"] [data-blockid="${blockId}"]`
       : `[data-blockid="${blockId}"]`;
     return selector;
@@ -156,9 +217,7 @@ export class BuildPage extends BasePage {
 
   async getBlockById(blockId: string, dataId?: string): Promise<Locator> {
     console.log(`getting block ${blockId} with dataId ${dataId}`);
-    return await this.page.locator(
-      await this._buildBlockSelector(blockId, dataId),
-    );
+    return this.page.locator(await this._buildBlockSelector(blockId, dataId));
   }
 
   // dataId is optional, if provided, it will start the search with that container, otherwise it will start with the blockId
@@ -174,7 +233,7 @@ export class BuildPage extends BasePage {
       `filling block input ${placeholder} with value ${value} of block ${blockId}`,
     );
     const block = await this.getBlockById(blockId, dataId);
-    const input = await block.getByPlaceholder(placeholder);
+    const input = block.getByPlaceholder(placeholder);
     await input.fill(value);
   }
 
@@ -219,7 +278,7 @@ export class BuildPage extends BasePage {
   ): Promise<void> {
     console.log(`filling block input ${label} with value ${value}`);
     const block = await this.getBlockById(blockId);
-    const input = await block.getByLabel(label);
+    const input = block.getByLabel(label);
     await input.fill(value);
   }
 
@@ -232,13 +291,9 @@ export class BuildPage extends BasePage {
     );
     try {
       // Locate the output element
-      const outputElement = await this.page.locator(
-        `[data-id="${blockOutputId}"]`,
-      );
+      const outputElement = this.page.locator(`[data-id="${blockOutputId}"]`);
       // Locate the input element
-      const inputElement = await this.page.locator(
-        `[data-id="${blockInputId}"]`,
-      );
+      const inputElement = this.page.locator(`[data-id="${blockInputId}"]`);
 
       await outputElement.dragTo(inputElement);
     } catch (error) {
@@ -280,32 +335,34 @@ export class BuildPage extends BasePage {
     try {
       await this.page.waitForLoadState("domcontentloaded", { timeout: 10_000 });
       return true;
-    } catch (error) {
+    } catch {
       return false;
     }
   }
 
   async isRunButtonEnabled(): Promise<boolean> {
     console.log(`checking if run button is enabled`);
-    const runButton = this.page.locator('[data-id="primary-action-run-agent"]');
+    const runButton = this.page.getByTestId("primary-action-run-agent");
     return await runButton.isEnabled();
   }
 
   async runAgent(): Promise<void> {
     console.log(`clicking run button`);
-    const runButton = this.page.locator('[data-id="primary-action-run-agent"]');
+    const runButton = this.page.getByTestId("primary-action-run-agent");
+    await runButton.click();
+    await this.page.waitForTimeout(1000);
     await runButton.click();
   }
 
   async fillRunDialog(inputs: Record<string, string>): Promise<void> {
     console.log(`filling run dialog`);
     for (const [key, value] of Object.entries(inputs)) {
-      await this.page.getByTestId(`run-dialog-input-${key}`).fill(value);
+      await this.page.getByTestId(`agent-input-${key}`).fill(value);
     }
   }
   async clickRunDialogRunButton(): Promise<void> {
     console.log(`clicking run button`);
-    await this.page.getByTestId("run-dialog-run-button").click();
+    await this.page.getByTestId("agent-run-button").click();
   }
 
   async waitForCompletionBadge(): Promise<void> {
@@ -339,25 +396,21 @@ export class BuildPage extends BasePage {
     );
   }
 
-  async createSingleBlockAgent(
-    name: string,
-    description: string,
-    block: Block,
-  ): Promise<void> {
-    console.log(`creating single block agent ${name}`);
-    await this.navbar.clickBuildLink();
-    await this.closeTutorial();
-    await this.openBlocksPanel();
-    await this.addBlock(block);
-    await this.saveAgent(name, description);
-    await this.waitForVersionField();
-  }
-
   async getDictionaryBlockDetails(): Promise<Block> {
     return {
-      id: "31d1064e-7446-4693-a7d4-65e5ca1180d1",
+      id: "dummy-id-1",
       name: "Add to Dictionary",
       description: "Add to Dictionary",
+      type: "Standard",
+    };
+  }
+
+  async getCalculatorBlockDetails(): Promise<Block> {
+    return {
+      id: "dummy-id-2",
+      name: "Calculator",
+      description: "Calculator",
+      type: "Standard",
     };
   }
 
@@ -370,11 +423,13 @@ export class BuildPage extends BasePage {
     );
   }
 
-  async getCalculatorBlockDetails(): Promise<Block> {
+  async getGithubTriggerBlockDetails(): Promise<Block> {
     return {
-      id: "b1ab9b19-67a6-406d-abf5-2dba76d00c79",
-      name: "Calculator",
-      description: "Calculator",
+      id: "6c60ec01-8128-419e-988f-96a063ee2fea",
+      name: "Github Trigger",
+      description:
+        "This block triggers on pull request events and outputs the event type and payload.",
+      type: "Standard",
     };
   }
 
@@ -383,86 +438,34 @@ export class BuildPage extends BasePage {
     await this.page.getByRole("button", { name: "Next" }).click();
   }
 
-  async zoomOut(): Promise<void> {
-    console.log(`zooming out`);
-    await this.page.getByLabel("zoom out").click();
-  }
-
-  async zoomIn(): Promise<void> {
-    console.log(`zooming in`);
-    await this.page.getByLabel("zoom in").click();
+  async getBlocksToSkip(): Promise<string[]> {
+    return [(await this.getGithubTriggerBlockDetails()).id];
   }
 
-  async zoomToFit(): Promise<void> {
-    console.log(`zooming to fit`);
-    await this.page.getByLabel("fit view").click();
-  }
+  async createDummyAgent() {
+    await this.closeTutorial();
+    await this.openBlocksPanel();
+    const dictionaryBlock = await this.getDictionaryBlockDetails();
 
-  async moveBlockToSide(
-    dataId: string,
-    direction: "up" | "down" | "left" | "right",
-    distance: number = 100,
-  ): Promise<void> {
-    console.log(`moving block ${dataId} to the side`);
+    const searchInput = this.page.locator(
+      '[data-id="blocks-control-search-input"]',
+    );
 
-    const block = this.page.locator(`[data-id="${dataId}"]`);
+    const displayName = this.getDisplayName(dictionaryBlock.name);
+    await searchInput.clear();
 
-    // Get current transform
-    const transform = await block.evaluate((el) => el.style.transform);
+    await isVisible(this.page.getByText("Output"));
 
-    // Parse current coordinates from transform
-    const matches = transform.match(/translate\(([^,]+),\s*([^)]+)\)/);
-    if (!matches) {
-      throw new Error(`Could not parse current transform: ${transform}`);
-    }
+    await searchInput.fill(displayName);
 
-    // Parse current coordinates
-    let currentX = parseFloat(matches[1]);
-    let currentY = parseFloat(matches[2]);
-
-    // Calculate new position
-    let newX = currentX;
-    let newY = currentY;
-
-    switch (direction) {
-      case "up":
-        newY -= distance;
-        break;
-      case "down":
-        newY += distance;
-        break;
-      case "left":
-        newX -= distance;
-        break;
-      case "right":
-        newX += distance;
-        break;
+    const blockCard = this.page.getByTestId(`block-name-${dictionaryBlock.id}`);
+    if (await blockCard.isVisible()) {
+      await blockCard.click();
+      const blockInEditor = this.page.getByTestId(dictionaryBlock.id).first();
+      expect(blockInEditor).toBeAttached();
     }
 
-    // Apply new transform using Playwright's evaluate
-    await block.evaluate(
-      (el, { newX, newY }) => {
-        el.style.transform = `translate(${newX}px, ${newY}px)`;
-      },
-      { newX, newY },
-    );
-  }
-
-  async waitForRunTutorialButton(): Promise<void> {
-    console.log(`waiting for run tutorial button`);
-    await this.page.waitForSelector('[id="press-run-label"]');
-  }
-
-  async getBlocksInAgent(): Promise<string[]> {
-    throw new Error("Not Tested to be correct");
-    console.log(`getting blocks in agent`);
-
-    const ids = await Promise.all(
-      (await this.page.locator(".react-flow__node").all()).map(
-        async (node) => await node.getAttribute("data-id"),
-      ),
-    );
-
-    return ids.filter((id): id is string => id !== null);
+    await this.saveAgent("Test Agent", "Test Description");
+    await expect(this.isRunButtonEnabled()).resolves.toBeTruthy();
   }
 }
diff --git a/autogpt_platform/frontend/src/tests/pages/header.page.ts b/autogpt_platform/frontend/src/tests/pages/header.page.ts
new file mode 100644
index 000000000000..25520608c875
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/pages/header.page.ts
@@ -0,0 +1,9 @@
+import { Locator, Page } from "@playwright/test";
+
+function getNotificationButton(page: Page): Locator {
+  return page.locator('button[title="Agent Activity"]');
+}
+
+export const headerTest = {
+  getNotificationButton,
+};
diff --git a/autogpt_platform/frontend/src/tests/pages/library.page.ts b/autogpt_platform/frontend/src/tests/pages/library.page.ts
new file mode 100644
index 000000000000..ef26ad60bffd
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/pages/library.page.ts
@@ -0,0 +1,491 @@
+import { BasePage } from "./base.page";
+import { Locator, Page } from "@playwright/test";
+import { getSelectors } from "../utils/selectors";
+
+export interface Agent {
+  id: string;
+  name: string;
+  description: string;
+  imageUrl?: string;
+  seeRunsUrl: string;
+  openInBuilderUrl: string;
+}
+
+export class LibraryPage extends BasePage {
+  constructor(page: Page) {
+    super(page);
+  }
+
+  async isLoaded(): Promise<boolean> {
+    console.log(`checking if library page is loaded`);
+    try {
+      await this.page.waitForLoadState("domcontentloaded", { timeout: 10_000 });
+
+      await this.page.waitForSelector('[data-testid="library-textbox"]', {
+        state: "visible",
+        timeout: 10_000,
+      });
+
+      console.log("Library page is loaded successfully");
+      return true;
+    } catch (error) {
+      console.log("Library page failed to load:", error);
+      return false;
+    }
+  }
+
+  async navigateToLibrary(): Promise<void> {
+    await this.page.goto("/library");
+    await this.isLoaded();
+  }
+
+  async getAgentCount(): Promise<number> {
+    const { getId } = getSelectors(this.page);
+    const countText = await getId("agents-count").textContent();
+    const match = countText?.match(/^(\d+)/);
+    return match ? parseInt(match[1], 10) : 0;
+  }
+
+  async getAgentCountByListLength(): Promise<number> {
+    const { getId } = getSelectors(this.page);
+    const agentCards = await getId("library-agent-card").all();
+    return agentCards.length;
+  }
+
+  async searchAgents(searchTerm: string): Promise<void> {
+    console.log(`searching for agents with term: ${searchTerm}`);
+    const { getRole } = getSelectors(this.page);
+    const searchInput = getRole("textbox", "Search agents");
+    await searchInput.fill(searchTerm);
+
+    await this.page.waitForTimeout(500);
+  }
+
+  async clearSearch(): Promise<void> {
+    console.log(`clearing search`);
+    try {
+      // Look for the clear button (X icon)
+      const clearButton = this.page.locator(".lucide.lucide-x");
+      if (await clearButton.isVisible()) {
+        await clearButton.click();
+      } else {
+        // If no clear button, clear the search input directly
+        const searchInput = this.page.getByRole("textbox", {
+          name: "Search agents",
+        });
+        await searchInput.fill("");
+      }
+
+      // Wait for results to update
+      await this.page.waitForTimeout(500);
+    } catch (error) {
+      console.error("Error clearing search:", error);
+    }
+  }
+
+  async selectSortOption(
+    page: Page,
+    sortOption: "Creation Date" | "Last Modified",
+  ): Promise<void> {
+    const { getRole } = getSelectors(page);
+    await getRole("combobox").click();
+
+    await getRole("option", sortOption).click();
+
+    await this.page.waitForTimeout(500);
+  }
+
+  async getCurrentSortOption(): Promise<string> {
+    console.log(`getting current sort option`);
+    try {
+      const sortCombobox = this.page.getByRole("combobox");
+      const currentOption = await sortCombobox.textContent();
+      return currentOption?.trim() || "";
+    } catch (error) {
+      console.error("Error getting current sort option:", error);
+      return "";
+    }
+  }
+
+  async openUploadDialog(): Promise<void> {
+    console.log(`opening upload dialog`);
+    await this.page.getByRole("button", { name: "Upload an agent" }).click();
+
+    // Wait for dialog to appear
+    await this.page.getByRole("dialog", { name: "Upload Agent" }).waitFor({
+      state: "visible",
+      timeout: 5_000,
+    });
+  }
+
+  async closeUploadDialog(): Promise<void> {
+    await this.page.getByRole("button", { name: "Close" }).click();
+
+    await this.page.getByRole("dialog", { name: "Upload Agent" }).waitFor({
+      state: "hidden",
+      timeout: 5_000,
+    });
+  }
+
+  async isUploadDialogVisible(): Promise<boolean> {
+    console.log(`checking if upload dialog is visible`);
+    try {
+      const dialog = this.page.getByRole("dialog", { name: "Upload Agent" });
+      return await dialog.isVisible();
+    } catch {
+      return false;
+    }
+  }
+
+  async fillUploadForm(agentName: string, description: string): Promise<void> {
+    console.log(
+      `filling upload form with name: ${agentName}, description: ${description}`,
+    );
+
+    // Fill agent name
+    await this.page
+      .getByRole("textbox", { name: "Agent name" })
+      .fill(agentName);
+
+    // Fill description
+    await this.page
+      .getByRole("textbox", { name: "Description" })
+      .fill(description);
+  }
+
+  async isUploadButtonEnabled(): Promise<boolean> {
+    console.log(`checking if upload button is enabled`);
+    try {
+      const uploadButton = this.page.getByRole("button", {
+        name: "Upload Agent",
+      });
+      return await uploadButton.isEnabled();
+    } catch {
+      return false;
+    }
+  }
+
+  async getAgents(): Promise<Agent[]> {
+    const { getId } = getSelectors(this.page);
+    const agents: Agent[] = [];
+
+    await getId("library-agent-card")
+      .first()
+      .waitFor({ state: "visible", timeout: 10_000 });
+    const agentCards = await getId("library-agent-card").all();
+
+    for (const card of agentCards) {
+      const name = await card.locator("h3").textContent();
+      const description = await card.locator("p").textContent();
+      const seeRunsLink = card.locator("a", { hasText: "See runs" });
+      const openInBuilderLink = card.locator("a", {
+        hasText: "Open in builder",
+      });
+
+      const seeRunsUrl = await seeRunsLink.getAttribute("href");
+      const openInBuilderUrl = await openInBuilderLink.getAttribute("href");
+
+      if (name && description && seeRunsUrl && openInBuilderUrl) {
+        const idMatch = seeRunsUrl.match(/\/library\/agents\/([^\/]+)/);
+        const id = idMatch ? idMatch[1] : "";
+
+        agents.push({
+          id,
+          name: name.trim(),
+          description: description.trim(),
+          seeRunsUrl,
+          openInBuilderUrl,
+        });
+      }
+    }
+
+    console.log(`found ${agents.length} agents`);
+    return agents;
+  }
+
+  async clickAgent(agent: Agent): Promise<void> {
+    await this.page
+      .getByRole("heading", { name: agent.name, level: 3 })
+      .click();
+  }
+
+  async clickSeeRuns(agent: Agent): Promise<void> {
+    console.log(`clicking see runs for agent: ${agent.name}`);
+
+    // Find the "See runs" link for this specific agent
+    const agentCard = this.page.locator(`[href="${agent.seeRunsUrl}"]`).first();
+    await agentCard.click();
+  }
+
+  async clickOpenInBuilder(agent: Agent): Promise<void> {
+    console.log(`clicking open in builder for agent: ${agent.name}`);
+
+    // Find the "Open in builder" link for this specific agent
+    const builderLink = this.page
+      .locator(`[href="${agent.openInBuilderUrl}"]`)
+      .first();
+    await builderLink.click();
+  }
+
+  async waitForAgentsToLoad(): Promise<void> {
+    const { getId } = getSelectors(this.page);
+    await Promise.race([
+      getId("library-agent-card")
+        .first()
+        .waitFor({ state: "visible", timeout: 10_000 }),
+      getId("agents-count").waitFor({ state: "visible", timeout: 10_000 }),
+    ]);
+  }
+
+  async clickMonitoringLink(): Promise<void> {
+    console.log(`clicking monitoring link in alert`);
+    await this.page.getByRole("link", { name: "here" }).click();
+  }
+
+  async isMonitoringAlertVisible(): Promise<boolean> {
+    console.log(`checking if monitoring alert is visible`);
+    try {
+      const alertText = this.page.locator("text=/Prefer the old experience/");
+      return await alertText.isVisible();
+    } catch {
+      return false;
+    }
+  }
+
+  async getSearchValue(): Promise<string> {
+    console.log(`getting search input value`);
+    try {
+      const searchInput = this.page.getByRole("textbox", {
+        name: "Search agents",
+      });
+      return await searchInput.inputValue();
+    } catch {
+      return "";
+    }
+  }
+
+  async hasNoAgentsMessage(): Promise<boolean> {
+    const { getText } = getSelectors(this.page);
+    const noAgentsText = getText("0 agents");
+    return noAgentsText !== null;
+  }
+
+  async scrollToBottom(): Promise<void> {
+    console.log(`scrolling to bottom to trigger pagination`);
+    await this.page.keyboard.press("End");
+    await this.page.waitForTimeout(1000);
+  }
+
+  async scrollDown(): Promise<void> {
+    console.log(`scrolling down to trigger pagination`);
+    await this.page.keyboard.press("PageDown");
+    await this.page.waitForTimeout(1000);
+  }
+
+  async scrollToLoadMore(): Promise<void> {
+    console.log(`scrolling to load more agents`);
+
+    // Get initial agent count
+    const initialCount = await this.getAgentCount();
+    console.log(`Initial agent count: ${initialCount}`);
+
+    // Scroll down to trigger pagination
+    await this.scrollToBottom();
+
+    // Wait for potential new agents to load
+    await this.page.waitForTimeout(2000);
+
+    // Check if more agents loaded
+    const newCount = await this.getAgentCount();
+    console.log(`New agent count after scroll: ${newCount}`);
+
+    return;
+  }
+
+  async testPagination(): Promise<{
+    initialCount: number;
+    finalCount: number;
+    hasMore: boolean;
+  }> {
+    const initialCount = await this.getAgentCountByListLength();
+    await this.scrollToLoadMore();
+    const finalCount = await this.getAgentCountByListLength();
+
+    const hasMore = finalCount > initialCount;
+    return {
+      initialCount,
+      finalCount,
+      hasMore,
+    };
+  }
+
+  async getAgentsWithPagination(): Promise<Agent[]> {
+    console.log(`getting all agents with pagination`);
+
+    let allAgents: Agent[] = [];
+    let previousCount = 0;
+    let currentCount = 0;
+    const maxAttempts = 5; // Prevent infinite loop
+    let attempts = 0;
+
+    do {
+      previousCount = currentCount;
+
+      // Get current agents
+      const currentAgents = await this.getAgents();
+      allAgents = currentAgents;
+      currentCount = currentAgents.length;
+
+      console.log(`Attempt ${attempts + 1}: Found ${currentCount} agents`);
+
+      // Try to load more by scrolling
+      await this.scrollToLoadMore();
+
+      attempts++;
+    } while (currentCount > previousCount && attempts < maxAttempts);
+
+    console.log(`Total agents found with pagination: ${allAgents.length}`);
+    return allAgents;
+  }
+
+  async waitForPaginationLoad(): Promise<void> {
+    console.log(`waiting for pagination to load`);
+
+    // Wait for any loading states to complete
+    await this.page.waitForTimeout(1000);
+
+    // Wait for agent count to stabilize
+    let previousCount = 0;
+    let currentCount = 0;
+    let stableChecks = 0;
+    const maxChecks = 10;
+
+    while (stableChecks < 3 && stableChecks < maxChecks) {
+      currentCount = await this.getAgentCount();
+
+      if (currentCount === previousCount) {
+        stableChecks++;
+      } else {
+        stableChecks = 0;
+      }
+
+      previousCount = currentCount;
+      await this.page.waitForTimeout(500);
+    }
+
+    console.log(`Pagination load stabilized with ${currentCount} agents`);
+  }
+
+  async scrollAndWaitForNewAgents(): Promise<number> {
+    const initialCount = await this.getAgentCountByListLength();
+
+    await this.scrollDown();
+
+    await this.waitForPaginationLoad();
+
+    const finalCount = await this.getAgentCountByListLength();
+    const newAgentsLoaded = finalCount - initialCount;
+
+    console.log(
+      `Loaded ${newAgentsLoaded} new agents (${initialCount} -> ${finalCount})`,
+    );
+
+    return newAgentsLoaded;
+  }
+
+  async isPaginationWorking(): Promise<boolean> {
+    const newAgentsLoaded = await this.scrollAndWaitForNewAgents();
+    return newAgentsLoaded > 0;
+  }
+}
+
+// Locator functions
+export function getLibraryTab(page: Page): Locator {
+  return page.locator('a[href="/library"]');
+}
+
+export function getAgentCards(page: Page): Locator {
+  return page.getByTestId("library-agent-card");
+}
+
+export function getNewRunButton(page: Page): Locator {
+  return page.getByRole("button", { name: "New run" });
+}
+
+export function getAgentTitle(page: Page): Locator {
+  return page.locator("h1").first();
+}
+
+// Action functions
+export async function navigateToLibrary(page: Page): Promise<void> {
+  await getLibraryTab(page).click();
+  await page.waitForURL(/.*\/library/);
+}
+
+export async function clickFirstAgent(page: Page): Promise<void> {
+  const firstAgent = getAgentCards(page).first();
+  await firstAgent.click();
+}
+
+export async function navigateToAgentByName(
+  page: Page,
+  agentName: string,
+): Promise<void> {
+  const agentCard = getAgentCards(page).filter({ hasText: agentName }).first();
+  await agentCard.click();
+}
+
+export async function clickRunButton(page: Page): Promise<void> {
+  const { getId } = getSelectors(page);
+  const runButton = getId("agent-run-button");
+  const runAgainButton = getId("run-again-button");
+
+  if (await runButton.isVisible()) {
+    await runButton.click();
+  } else if (await runAgainButton.isVisible()) {
+    await runAgainButton.click();
+  } else {
+    throw new Error("Neither run button nor run again button is visible");
+  }
+}
+
+export async function clickNewRunButton(page: Page): Promise<void> {
+  await getNewRunButton(page).click();
+}
+
+export async function runAgent(page: Page): Promise<void> {
+  await clickRunButton(page);
+}
+
+export async function waitForAgentPageLoad(page: Page): Promise<void> {
+  await page.waitForURL(/.*\/library\/agents\/[^/]+/);
+  await page.getByTestId("Run actions").isVisible({ timeout: 10000 });
+}
+
+export async function getAgentName(page: Page): Promise<string> {
+  return (await getAgentTitle(page).textContent()) || "";
+}
+
+export async function isLoaded(page: Page): Promise<boolean> {
+  return await page.locator("h1").isVisible();
+}
+
+export async function waitForRunToComplete(
+  page: Page,
+  timeout = 30000,
+): Promise<void> {
+  await page.waitForSelector(".bg-green-500, .bg-red-500, .bg-purple-500", {
+    timeout,
+  });
+}
+
+export async function getRunStatus(page: Page): Promise<string> {
+  if (await page.locator(".animate-spin").isVisible()) {
+    return "running";
+  } else if (await page.locator(".bg-green-500").isVisible()) {
+    return "completed";
+  } else if (await page.locator(".bg-red-500").isVisible()) {
+    return "failed";
+  }
+  return "unknown";
+}
diff --git a/autogpt_platform/frontend/src/tests/pages/login.page.ts b/autogpt_platform/frontend/src/tests/pages/login.page.ts
index 66c0532a1b13..59aaeab0fa33 100644
--- a/autogpt_platform/frontend/src/tests/pages/login.page.ts
+++ b/autogpt_platform/frontend/src/tests/pages/login.page.ts
@@ -3,52 +3,65 @@ import { Page } from "@playwright/test";
 export class LoginPage {
   constructor(private page: Page) {}
 
+  async goto() {
+    await this.page.goto("/login");
+  }
+
   async login(email: string, password: string) {
-    console.log("Attempting login with:", { email, password }); // Debug log
+    console.log(`ℹ️ Attempting login on ${this.page.url()} with`, {
+      email,
+      password,
+    });
 
-    // Fill email
-    const emailInput = this.page.getByPlaceholder("user@email.com");
+    // Wait for the form to be ready
+    await this.page.waitForSelector("form", { state: "visible" });
+
+    // Fill email using input selector instead of label
+    const emailInput = this.page.locator('input[type="email"]');
     await emailInput.waitFor({ state: "visible" });
     await emailInput.fill(email);
 
-    // Fill password
-    const passwordInput = this.page.getByPlaceholder("password");
+    // Fill password using input selector instead of label
+    const passwordInput = this.page.locator('input[type="password"]');
     await passwordInput.waitFor({ state: "visible" });
     await passwordInput.fill(password);
 
-    // Check terms
-    const termsCheckbox = this.page.getByLabel("I agree to the Terms of Use");
-    await termsCheckbox.waitFor({ state: "visible" });
-    await termsCheckbox.click();
-
-    // TODO: This is a workaround to wait for the page to load after filling the email and password
-    const emailInput2 = this.page.getByPlaceholder("user@email.com");
-    await emailInput2.waitFor({ state: "visible" });
-    await emailInput2.fill(email);
-
-    // Fill password
-    const passwordInput2 = this.page.getByPlaceholder("password");
-    await passwordInput2.waitFor({ state: "visible" });
-    await passwordInput2.fill(password);
-
     // Wait for the button to be ready
     const loginButton = this.page.getByRole("button", {
-      name: "Log in",
+      name: "Login",
       exact: true,
     });
     await loginButton.waitFor({ state: "visible" });
 
+    // Attach navigation logger for debug purposes
+    this.page.on("load", (page) => console.log(`ℹ️ Now at URL: ${page.url()}`));
+
     // Start waiting for navigation before clicking
-    const navigationPromise = this.page.waitForURL("/", { timeout: 10_000 });
+    const leaveLoginPage = this.page
+      .waitForURL(
+        (url) => /^\/(marketplace|onboarding(\/.*)?)?$/.test(url.pathname),
+        { timeout: 10_000 },
+      )
+      .catch((reason) => {
+        console.error(
+          `🚨 Navigation away from /login timed out (current URL: ${this.page.url()}):`,
+          reason,
+        );
+        throw reason;
+      });
 
-    console.log("About to click login button"); // Debug log
+    console.log(`🖱️ Clicking login button...`);
     await loginButton.click();
 
-    console.log("Waiting for navigation"); // Debug log
-    await navigationPromise;
+    console.log("⏳ Waiting for navigation away from /login ...");
+    await leaveLoginPage;
+    console.log(`⌛ Post-login redirected to ${this.page.url()}`);
 
-    console.log("Navigation complete, waiting for network idle"); // Debug log
+    await new Promise((resolve) => setTimeout(resolve, 200)); // allow time for client-side redirect
     await this.page.waitForLoadState("load", { timeout: 10_000 });
-    console.log("Login process complete"); // Debug log
+
+    console.log("➡️ Navigating to /marketplace ...");
+    await this.page.goto("/marketplace", { timeout: 10_000 });
+    console.log("✅ Login process complete");
   }
 }
diff --git a/autogpt_platform/frontend/src/tests/pages/marketplace.page.ts b/autogpt_platform/frontend/src/tests/pages/marketplace.page.ts
new file mode 100644
index 000000000000..5439265ae1b5
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/pages/marketplace.page.ts
@@ -0,0 +1,129 @@
+import { Page } from "@playwright/test";
+import { BasePage } from "./base.page";
+import { getSelectors } from "../utils/selectors";
+
+export class MarketplacePage extends BasePage {
+  constructor(page: Page) {
+    super(page);
+  }
+
+  async goto(page: Page) {
+    await page.goto("/marketplace");
+  }
+
+  async getMarketplaceTitle(page: Page) {
+    const { getText } = getSelectors(page);
+    return getText("Explore AI agents", { exact: false });
+  }
+
+  async getCreatorsSection(page: Page) {
+    const { getId, getText } = getSelectors(page);
+    return getId("creators-section") || getText("Creators", { exact: false });
+  }
+
+  async getAgentsSection(page: Page) {
+    const { getId, getText } = getSelectors(page);
+    return getId("agents-section") || getText("Agents", { exact: false });
+  }
+
+  async getCreatorsLink(page: Page) {
+    const { getLink } = getSelectors(page);
+    return getLink(/creators/i);
+  }
+
+  async getAgentsLink(page: Page) {
+    const { getLink } = getSelectors(page);
+    return getLink(/agents/i);
+  }
+
+  async getSearchInput(page: Page) {
+    const { getField, getId } = getSelectors(page);
+    return getId("store-search-input") || getField(/search/i);
+  }
+
+  async getFilterDropdown(page: Page) {
+    const { getId, getButton } = getSelectors(page);
+    return getId("filter-dropdown") || getButton(/filter/i);
+  }
+
+  async searchFor(query: string, page: Page) {
+    const searchInput = await this.getSearchInput(page);
+    await searchInput.fill(query);
+    await searchInput.press("Enter");
+  }
+
+  async clickCreators(page: Page) {
+    const creatorsLink = await this.getCreatorsLink(page);
+    await creatorsLink.click();
+  }
+
+  async clickAgents(page: Page) {
+    const agentsLink = await this.getAgentsLink(page);
+    await agentsLink.click();
+  }
+
+  async openFilter(page: Page) {
+    const filterDropdown = await this.getFilterDropdown(page);
+    await filterDropdown.click();
+  }
+
+  async getFeaturedAgentsSection(page: Page) {
+    const { getText } = getSelectors(page);
+    return getText("Featured agents");
+  }
+
+  async getTopAgentsSection(page: Page) {
+    const { getText } = getSelectors(page);
+    return getText("Top Agents");
+  }
+
+  async getFeaturedCreatorsSection(page: Page) {
+    const { getText } = getSelectors(page);
+    return getText("Featured Creators");
+  }
+
+  async getFeaturedAgentCards(page: Page) {
+    const { getId } = getSelectors(page);
+    return getId("featured-store-card");
+  }
+
+  async getTopAgentCards(page: Page) {
+    const { getId } = getSelectors(page);
+    return getId("store-card");
+  }
+
+  async getCreatorProfiles(page: Page) {
+    const { getId } = getSelectors(page);
+    return getId("creator-card");
+  }
+
+  async searchAndNavigate(query: string, page: Page) {
+    const searchInput = await this.getSearchInput(page);
+    await searchInput.fill(query);
+    await searchInput.press("Enter");
+  }
+
+  async waitForSearchResults() {
+    await this.page.waitForURL("**/marketplace/search**");
+  }
+
+  async getFirstFeaturedAgent(page: Page) {
+    const { getId } = getSelectors(page);
+    return getId("featured-store-card").first();
+  }
+
+  async getFirstTopAgent() {
+    return this.page.locator('[data-testid="store-card"]:visible').first();
+  }
+
+  async getFirstCreatorProfile(page: Page) {
+    const { getId } = getSelectors(page);
+    return getId("creator-card").first();
+  }
+
+  async getSearchResultsCount(page: Page) {
+    const { getId } = getSelectors(page);
+    const storeCards = getId("store-card");
+    return await storeCards.count();
+  }
+}
diff --git a/autogpt_platform/frontend/src/tests/pages/monitor.page.ts b/autogpt_platform/frontend/src/tests/pages/monitor.page.ts
index 06954dab9878..1d89e9651ff4 100644
--- a/autogpt_platform/frontend/src/tests/pages/monitor.page.ts
+++ b/autogpt_platform/frontend/src/tests/pages/monitor.page.ts
@@ -1,4 +1,4 @@
-import { ElementHandle, Locator, Page } from "@playwright/test";
+import { Page } from "@playwright/test";
 import { BasePage } from "./base.page";
 import path from "path";
 
@@ -18,10 +18,6 @@ interface Run {
   status: string;
 }
 
-interface AgentRun extends Agent {
-  runs: Run[];
-}
-
 interface Schedule {
   id: string;
   graphName: string;
@@ -43,9 +39,6 @@ export class MonitorPage extends BasePage {
   async isLoaded(): Promise<boolean> {
     console.log(`checking if monitor page is loaded`);
     try {
-      // Wait for network to settle first
-      await this.page.waitForLoadState("networkidle", { timeout: 10_000 });
-
       // Wait for the monitor page
       await this.page.getByTestId("monitor-page").waitFor({
         state: "visible",
@@ -55,7 +48,7 @@ export class MonitorPage extends BasePage {
       // Wait for table headers to be visible (indicates table structure is ready)
       await this.page.locator("thead th").first().waitFor({
         state: "visible",
-        timeout: 5_000,
+        timeout: 15_000,
       });
 
       // Wait for either a table row or an empty tbody to be present
@@ -63,19 +56,19 @@ export class MonitorPage extends BasePage {
         // Wait for at least one row
         this.page.locator("tbody tr[data-testid]").first().waitFor({
           state: "visible",
-          timeout: 5_000,
+          timeout: 15_000,
         }),
         // OR wait for an empty tbody (indicating no agents but table is loaded)
         this.page
           .locator("tbody[data-testid='agent-flow-list-body']:empty")
           .waitFor({
             state: "visible",
-            timeout: 5_000,
+            timeout: 15_000,
           }),
       ]);
 
       return true;
-    } catch (error) {
+    } catch {
       return false;
     }
   }
@@ -114,13 +107,22 @@ export class MonitorPage extends BasePage {
       });
     }
 
+    agents.reduce((acc, agent) => {
+      if (!agent.id.includes("flow-run")) {
+        acc.push(agent);
+      }
+      return acc;
+    }, [] as Agent[]);
+
     return agents;
   }
 
   async listRuns(filter?: Agent): Promise<Run[]> {
     console.log(`listing runs`);
     // Wait for the runs table to be loaded - look for table header "Agent"
-    await this.page.locator("[data-testid='flow-runs-list-body']").waitFor();
+    await this.page.locator("[data-testid='flow-runs-list-body']").waitFor({
+      timeout: 10000,
+    });
 
     // Get all run rows
     const rows = await this.page
@@ -219,7 +221,7 @@ export class MonitorPage extends BasePage {
   async exportToFile(agent: Agent) {
     await this.clickAgent(agent.id);
 
-    console.log(`exporting agent ${agent.id} ${agent.name} to file`);
+    console.log(`exporting agent id: ${agent.id} name: ${agent.name} to file`);
     await this.page.getByTestId("export-button").click();
   }
 
diff --git a/autogpt_platform/frontend/src/tests/pages/navbar.page.ts b/autogpt_platform/frontend/src/tests/pages/navbar.page.ts
index b95c852059b2..45d05366aafa 100644
--- a/autogpt_platform/frontend/src/tests/pages/navbar.page.ts
+++ b/autogpt_platform/frontend/src/tests/pages/navbar.page.ts
@@ -9,15 +9,19 @@ export class NavBar {
   }
 
   async clickMonitorLink() {
-    await this.page.getByRole("link", { name: "Library" }).click();
+    await this.page.getByTestId("navbar-link-library").click();
   }
 
   async clickBuildLink() {
-    await this.page.locator('a[href="/build"] div').click();
+    const link = this.page.getByTestId("navbar-link-build");
+    await link.waitFor({ state: "visible", timeout: 15000 });
+    await link.scrollIntoViewIfNeeded();
+    await link.click();
+    await this.page.waitForURL(/\/build$/, { timeout: 15000 });
   }
 
   async clickMarketplaceLink() {
-    await this.page.locator('a[href="/store"]').click();
+    await this.page.getByTestId("navbar-link-marketplace").click();
   }
 
   async getUserMenuButton() {
@@ -25,7 +29,7 @@ export class NavBar {
   }
 
   async clickUserMenu() {
-    await this.page.getByTestId("profile-popout-menu-trigger").click();
+    await (await this.getUserMenuButton()).click();
   }
 
   async logout() {
@@ -35,7 +39,9 @@ export class NavBar {
 
   async isLoggedIn(): Promise<boolean> {
     try {
-      await this.page.getByTestId("profile-popout-menu-trigger").waitFor({
+      await (
+        await this.getUserMenuButton()
+      ).waitFor({
         state: "visible",
         timeout: 10_000,
       });
diff --git a/autogpt_platform/frontend/src/tests/pages/profile-form.page.ts b/autogpt_platform/frontend/src/tests/pages/profile-form.page.ts
new file mode 100644
index 000000000000..0eccd597645b
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/pages/profile-form.page.ts
@@ -0,0 +1,145 @@
+import { Locator, Page } from "@playwright/test";
+import { BasePage } from "./base.page";
+import { getSelectors } from "../utils/selectors";
+
+export class ProfileFormPage extends BasePage {
+  constructor(page: Page) {
+    super(page);
+  }
+
+  private getId(id: string | RegExp): Locator {
+    const { getId } = getSelectors(this.page);
+    return getId(id);
+  }
+
+  private async hideFloatingWidgets(): Promise<void> {
+    await this.page.addStyleTag({
+      content: `
+        [data-tally-open] { display: none !important; }
+      `,
+    });
+  }
+
+  // Locators
+  title(): Locator {
+    return this.getId("profile-info-form-title");
+  }
+
+  displayNameField(): Locator {
+    const { getField } = getSelectors(this.page);
+    return getField("Display name");
+  }
+
+  handleField(): Locator {
+    const { getField } = getSelectors(this.page);
+    return getField("Handle");
+  }
+
+  bioField(): Locator {
+    const { getField } = getSelectors(this.page);
+    return getField("Bio");
+  }
+
+  linkField(index: number): Locator {
+    this.assertValidLinkIndex(index);
+    const { getField } = getSelectors(this.page);
+    return getField(`Link ${index}`);
+  }
+
+  cancelButton(): Locator {
+    const { getButton } = getSelectors(this.page);
+    return getButton("Cancel");
+  }
+
+  saveButton(): Locator {
+    const { getButton } = getSelectors(this.page);
+    return getButton("Save changes");
+  }
+
+  // State
+  async isLoaded(): Promise<boolean> {
+    try {
+      await this.title().waitFor({ state: "visible", timeout: 10_000 });
+      await this.displayNameField().waitFor({
+        state: "visible",
+        timeout: 10_000,
+      });
+      await this.handleField().waitFor({ state: "visible", timeout: 10_000 });
+      return true;
+    } catch {
+      return false;
+    }
+  }
+
+  // Actions
+  async setDisplayName(name: string): Promise<void> {
+    await this.displayNameField().fill(name);
+  }
+
+  async getDisplayName(): Promise<string> {
+    return this.displayNameField().inputValue();
+  }
+
+  async setHandle(handle: string): Promise<void> {
+    await this.handleField().fill(handle);
+  }
+
+  async getHandle(): Promise<string> {
+    return this.handleField().inputValue();
+  }
+
+  async setBio(bio: string): Promise<void> {
+    await this.bioField().fill(bio);
+  }
+
+  async getBio(): Promise<string> {
+    return this.bioField().inputValue();
+  }
+
+  async setLink(index: number, url: string): Promise<void> {
+    await this.linkField(index).fill(url);
+  }
+
+  async getLink(index: number): Promise<string> {
+    return this.linkField(index).inputValue();
+  }
+
+  async setLinks(links: Array<string | undefined>): Promise<void> {
+    for (let i = 1; i <= 5; i++) {
+      const val = links[i - 1] ?? "";
+      await this.setLink(i, val);
+    }
+  }
+
+  async clickCancel(): Promise<void> {
+    await this.cancelButton().click();
+  }
+
+  async clickSave(): Promise<void> {
+    await this.saveButton().click();
+  }
+
+  async saveChanges(): Promise<void> {
+    await this.hideFloatingWidgets();
+    await this.clickSave();
+    await this.waitForSaveComplete();
+  }
+
+  async waitForSaveComplete(timeoutMs: number = 15_000): Promise<void> {
+    const { getButton } = getSelectors(this.page);
+    await getButton("Save changes").waitFor({
+      state: "attached",
+      timeout: timeoutMs,
+    });
+    await getButton("Save changes").waitFor({
+      state: "visible",
+      timeout: timeoutMs,
+    });
+  }
+
+  private assertValidLinkIndex(index: number) {
+    if (index < 1 || index > 5) {
+      throw new Error(`Link index must be between 1 and 5. Received: ${index}`);
+    }
+  }
+}
diff --git a/autogpt_platform/frontend/src/tests/profile-form.spec.ts b/autogpt_platform/frontend/src/tests/profile-form.spec.ts
new file mode 100644
index 000000000000..527c5cca9266
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/profile-form.spec.ts
@@ -0,0 +1,108 @@
+import test, { expect } from "@playwright/test";
+import { ProfileFormPage } from "./pages/profile-form.page";
+import { LoginPage } from "./pages/login.page";
+import { hasUrl } from "./utils/assertion";
+import { TEST_CREDENTIALS } from "./credentials";
+
+test.describe("Profile Form", () => {
+  let profileFormPage: ProfileFormPage;
+
+  test.beforeEach(async ({ page }) => {
+    profileFormPage = new ProfileFormPage(page);
+
+    const loginPage = new LoginPage(page);
+    await loginPage.goto();
+    await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+    await hasUrl(page, "/marketplace");
+  });
+
+  test("redirects to login when user is not authenticated", async ({
+    browser,
+  }) => {
+    const context = await browser.newContext();
+    const page = await context.newPage();
+
+    try {
+      await page.goto("/profile");
+      await hasUrl(page, "/login");
+    } finally {
+      await page.close();
+      await context.close();
+    }
+  });
+
+  test("can save profile changes successfully", async ({ page }) => {
+    await profileFormPage.navbar.clickProfileLink();
+
+    await expect(profileFormPage.isLoaded()).resolves.toBeTruthy();
+    await hasUrl(page, new RegExp("/profile"));
+
+    const suffix = Date.now().toString().slice(-6);
+    const newDisplayName = `E2E Name ${suffix}`;
+    const newHandle = `e2euser${suffix}`;
+    const newBio = `E2E bio ${suffix}`;
+    const newLinks = [
+      `https://example.com/${suffix}/1`,
+      `https://example.com/${suffix}/2`,
+      `https://example.com/${suffix}/3`,
+      `https://example.com/${suffix}/4`,
+      `https://example.com/${suffix}/5`,
+    ];
+
+    await profileFormPage.setDisplayName(newDisplayName);
+    await profileFormPage.setHandle(newHandle);
+    await profileFormPage.setBio(newBio);
+    await profileFormPage.setLinks(newLinks);
+    await profileFormPage.saveChanges();
+
+    expect(await profileFormPage.getDisplayName()).toBe(newDisplayName);
+    expect(await profileFormPage.getHandle()).toBe(newHandle);
+    expect(await profileFormPage.getBio()).toBe(newBio);
+    for (let i = 1; i <= 5; i++) {
+      expect(await profileFormPage.getLink(i)).toBe(newLinks[i - 1]);
+    }
+
+    await page.reload();
+    await expect(profileFormPage.isLoaded()).resolves.toBeTruthy();
+
+    expect(await profileFormPage.getDisplayName()).toBe(newDisplayName);
+    expect(await profileFormPage.getHandle()).toBe(newHandle);
+    expect(await profileFormPage.getBio()).toBe(newBio);
+    for (let i = 1; i <= 5; i++) {
+      expect(await profileFormPage.getLink(i)).toBe(newLinks[i - 1]);
+    }
+  });
+
+  // Currently we are not using hook form inside the profile form, so cancel button is not working as expected, once that's fixed, we can unskip this test
+  test.skip("can cancel profile changes", async ({ page }) => {
+    await profileFormPage.navbar.clickProfileLink();
+
+    await expect(profileFormPage.isLoaded()).resolves.toBeTruthy();
+    await hasUrl(page, new RegExp("/profile"));
+
+    const originalDisplayName = await profileFormPage.getDisplayName();
+    const originalHandle = await profileFormPage.getHandle();
+    const originalBio = await profileFormPage.getBio();
+    const originalLinks: string[] = [];
+    for (let i = 1; i <= 5; i++) {
+      originalLinks.push(await profileFormPage.getLink(i));
+    }
+
+    const suffix = `${Date.now().toString().slice(-6)}_cancel`;
+    await profileFormPage.setDisplayName(`Tmp Name ${suffix}`);
+    await profileFormPage.setHandle(`tmpuser${suffix}`);
+    await profileFormPage.setBio(`Tmp bio ${suffix}`);
+    for (let i = 1; i <= 5; i++) {
+      await profileFormPage.setLink(i, `https://tmp.example/${suffix}/${i}`);
+    }
+
+    await profileFormPage.clickCancel();
+
+    expect(await profileFormPage.getDisplayName()).toBe(originalDisplayName);
+    expect(await profileFormPage.getHandle()).toBe(originalHandle);
+    expect(await profileFormPage.getBio()).toBe(originalBio);
+    for (let i = 1; i <= 5; i++) {
+      expect(await profileFormPage.getLink(i)).toBe(originalLinks[i - 1]);
+    }
+  });
+});
diff --git a/autogpt_platform/frontend/src/tests/profile.spec.ts b/autogpt_platform/frontend/src/tests/profile.spec.ts
index 03787e2748fb..c592b370eaba 100644
--- a/autogpt_platform/frontend/src/tests/profile.spec.ts
+++ b/autogpt_platform/frontend/src/tests/profile.spec.ts
@@ -1,53 +1,47 @@
-import { test } from "./fixtures";
+import { LoginPage } from "./pages/login.page";
 import { ProfilePage } from "./pages/profile.page";
+import test, { expect } from "@playwright/test";
+import { getTestUser } from "./utils/auth";
+import { hasUrl } from "./utils/assertion";
 
-test.describe("Profile", () => {
-  let profilePage: ProfilePage;
-
-  test.beforeEach(async ({ page, loginPage, testUser }) => {
-    profilePage = new ProfilePage(page);
-
-    // Start each test with login using worker auth
-    await page.goto("/login");
-    await loginPage.login(testUser.email, testUser.password);
-    await test.expect(page).toHaveURL("/store");
-  });
-
-  test("user can view their profile information", async ({
-    page,
-    testUser,
-  }) => {
-    await profilePage.navbar.clickProfileLink();
-    // workaround for #8788
-    // sleep for 10 seconds to allow page to load due to bug in our system
-    await page.waitForTimeout(10_000);
-    await page.reload();
-    await page.reload();
-    await test.expect(profilePage.isLoaded()).resolves.toBeTruthy();
-    await test.expect(page).toHaveURL(new RegExp("/profile"));
-
-    // Verify email matches test worker's email
-    const displayedHandle = await profilePage.getDisplayedName();
-    test.expect(displayedHandle).toBe("No Profile Data");
-  });
-
-  test("profile navigation is accessible from navbar", async ({ page }) => {
-    await profilePage.navbar.clickProfileLink();
-    await test.expect(page).toHaveURL(new RegExp("/profile"));
-    await test.expect(profilePage.isLoaded()).resolves.toBeTruthy();
-  });
-
-  test("profile displays user Credential providers", async ({ page }) => {
-    await profilePage.navbar.clickProfileLink();
-
-    // await test
-    //   .expect(page.getByTestId("profile-section-personal"))
-    //   .toBeVisible();
-    // await test
-    //   .expect(page.getByTestId("profile-section-settings"))
-    //   .toBeVisible();
-    // await test
-    //   .expect(page.getByTestId("profile-section-security"))
-    //   .toBeVisible();
-  });
+test.beforeEach(async ({ page }) => {
+  const loginPage = new LoginPage(page);
+  const testUser = await getTestUser();
+
+  await page.goto("/login");
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
+});
+
+test("user can view their profile information", async ({ page }) => {
+  const profilePage = new ProfilePage(page);
+
+  await profilePage.navbar.clickProfileLink();
+
+  // workaround for #8788
+  // sleep for 10 seconds to allow page to load due to bug in our system
+  await page.waitForTimeout(10000);
+  await page.reload();
+  await page.reload();
+  await expect(profilePage.isLoaded()).resolves.toBeTruthy();
+  await hasUrl(page, new RegExp("/profile"));
+
+  // Verify email matches test worker's email
+  const displayedHandle = await profilePage.getDisplayedName();
+  expect(displayedHandle).not.toBeNull();
+  expect(displayedHandle).not.toBe("");
+  expect(displayedHandle).toBeDefined();
+});
+
+test("profile navigation is accessible from navbar", async ({ page }) => {
+  const profilePage = new ProfilePage(page);
+
+  await profilePage.navbar.clickProfileLink();
+  await hasUrl(page, new RegExp("/profile"));
+  await expect(profilePage.isLoaded()).resolves.toBeTruthy();
+});
+
+test("profile displays user Credential providers", async ({ page }) => {
+  const profilePage = new ProfilePage(page);
+  await profilePage.navbar.clickProfileLink();
 });
diff --git a/autogpt_platform/frontend/src/tests/publish-agent.spec.ts b/autogpt_platform/frontend/src/tests/publish-agent.spec.ts
new file mode 100644
index 000000000000..0369bfd7f2b2
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/publish-agent.spec.ts
@@ -0,0 +1,272 @@
+import test from "@playwright/test";
+import { LoginPage } from "./pages/login.page";
+import { TEST_CREDENTIALS } from "./credentials";
+import { getSelectors } from "./utils/selectors";
+import {
+  hasUrl,
+  isDisabled,
+  isEnabled,
+  isHidden,
+  isVisible,
+} from "./utils/assertion";
+
+test("user can publish an agent through the complete flow", async ({
+  page,
+}) => {
+  const { getId, getText, getButton } = getSelectors(page);
+
+  const loginPage = new LoginPage(page);
+  await page.goto("/login");
+  await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+  await hasUrl(page, "/marketplace");
+
+  await page.goto("/marketplace");
+  await getButton("Become a creator").click();
+
+  const publishAgentModal = getId("publish-agent-modal");
+  await isVisible(publishAgentModal, 10000);
+
+  await isVisible(
+    publishAgentModal.getByText(
+      "Select your project that you'd like to publish",
+    ),
+  );
+
+  const agentToSelect = publishAgentModal.getByTestId("agent-card").first();
+  await agentToSelect.click();
+
+  const nextButton = publishAgentModal.getByRole("button", {
+    name: "Next",
+    exact: true,
+  });
+
+  await isEnabled(nextButton);
+  await nextButton.click();
+
+  // 2. Adding details of agent
+  await isVisible(getText("Write a bit of details about your agent"));
+
+  const agentName = "Test Agent Name";
+
+  const agentTitle = publishAgentModal.getByLabel("Title");
+  await agentTitle.fill(agentName);
+
+  const agentSubheader = publishAgentModal.getByLabel("Subheader");
+  await agentSubheader.fill("Test Agent Subheader");
+
+  const agentSlug = publishAgentModal.getByLabel("Slug");
+  await agentSlug.fill("test-agent-slug");
+
+  const youtubeInput = publishAgentModal.getByLabel("Youtube video link");
+  await youtubeInput.fill("https://www.youtube.com/watch?v=test");
+
+  const categorySelect = publishAgentModal.locator(
+    'select[aria-hidden="true"]',
+  );
+  await categorySelect.selectOption({ value: "other" });
+
+  const descriptionInput = publishAgentModal.getByLabel("Description");
+  await descriptionInput.fill(
+    "This is a test agent description for the automated test.",
+  );
+
+  await isEnabled(publishAgentModal.getByRole("button", { name: "Submit" }));
+});
+
+test("should display appropriate content in agent creation modal when user is logged out", async ({
+  page,
+}) => {
+  const { getText, getButton } = getSelectors(page);
+
+  await page.goto("/marketplace");
+  await getButton("Become a creator").click();
+
+  await isVisible(
+    getText("Uh-oh.. It seems like you don't have any agents in your library."),
+  );
+});
+
+test("should validate all form fields in publish agent form", async ({
+  page,
+}) => {
+  const { getId, getText, getButton } = getSelectors(page);
+
+  const loginPage = new LoginPage(page);
+  await page.goto("/login");
+  await loginPage.login(TEST_CREDENTIALS.email, TEST_CREDENTIALS.password);
+  await hasUrl(page, "/marketplace");
+
+  await page.goto("/marketplace");
+  await getButton("Become a creator").click();
+
+  const publishAgentModal = getId("publish-agent-modal");
+  await isVisible(publishAgentModal, 10000);
+
+  const agentToSelect = publishAgentModal.getByTestId("agent-card").first();
+  await agentToSelect.click();
+
+  const nextButton = publishAgentModal.getByRole("button", {
+    name: "Next",
+    exact: true,
+  });
+  await nextButton.click();
+
+  await isVisible(getText("Write a bit of details about your agent"));
+
+  // Get form elements
+  const agentTitle = publishAgentModal.getByLabel("Title");
+  const agentSubheader = publishAgentModal.getByLabel("Subheader");
+  const agentSlug = publishAgentModal.getByLabel("Slug");
+  const youtubeInput = publishAgentModal.getByLabel("Youtube video link");
+  const categorySelect = publishAgentModal.locator(
+    'select[aria-hidden="true"]',
+  );
+  const descriptionInput = publishAgentModal.getByLabel("Description");
+  const submitButton = publishAgentModal.getByRole("button", {
+    name: "Submit",
+  });
+
+  async function clearForm() {
+    await agentTitle.clear();
+    await agentSubheader.clear();
+    await agentSlug.clear();
+    await youtubeInput.clear();
+    await descriptionInput.clear();
+  }
+
+  // 1. Test required field validations
+  await clearForm();
+  await submitButton.click();
+
+  await isVisible(publishAgentModal.getByText("Title is required"));
+  await isVisible(publishAgentModal.getByText("Subheader is required"));
+  await isVisible(publishAgentModal.getByText("Slug is required"));
+  await isVisible(publishAgentModal.getByText("Category is required"));
+  await isVisible(publishAgentModal.getByText("Description is required"));
+
+  // 2. Test field length limits
+  await clearForm();
+
+  // Test title length limit (100 characters)
+  const longTitle = "a".repeat(101);
+  await agentTitle.fill(longTitle);
+  await agentTitle.blur();
+  await isVisible(
+    publishAgentModal.getByText("Title must be less than 100 characters"),
+  );
+
+  // Test subheader length limit (200 characters)
+  const longSubheader = "b".repeat(201);
+  await agentSubheader.fill(longSubheader);
+  await agentSubheader.blur();
+  await isVisible(
+    publishAgentModal.getByText("Subheader must be less than 200 characters"),
+  );
+
+  // Test slug length limit (50 characters)
+  const longSlug = "c".repeat(51);
+  await agentSlug.fill(longSlug);
+  await agentSlug.blur();
+  await isVisible(
+    publishAgentModal.getByText("Slug must be less than 50 characters"),
+  );
+
+  // Test description length limit (1000 characters)
+  const longDescription = "d".repeat(1001);
+  await descriptionInput.fill(longDescription);
+  await descriptionInput.blur();
+  await isVisible(
+    publishAgentModal.getByText(
+      "Description must be less than 1000 characters",
+    ),
+  );
+
+  // Test invalid characters in slug
+  await agentSlug.fill("Invalid Slug With Spaces");
+  await agentSlug.blur();
+  await isVisible(
+    publishAgentModal.getByText(
+      "Slug can only contain lowercase letters, numbers, and hyphens",
+    ),
+  );
+
+  await agentSlug.clear();
+  await agentSlug.fill("InvalidSlugWithCapitals");
+  await agentSlug.blur();
+  await isVisible(
+    publishAgentModal.getByText(
+      "Slug can only contain lowercase letters, numbers, and hyphens",
+    ),
+  );
+
+  await agentSlug.clear();
+  await agentSlug.fill("invalid-slug-with-@#$");
+  await agentSlug.blur();
+  await isVisible(
+    publishAgentModal.getByText(
+      "Slug can only contain lowercase letters, numbers, and hyphens",
+    ),
+  );
+
+  // Test valid slug format should not show error
+  await agentSlug.clear();
+  await agentSlug.fill("valid-slug-123");
+  await agentSlug.blur();
+  await page.waitForTimeout(500);
+
+  await isHidden(
+    publishAgentModal.getByText(
+      "Slug can only contain lowercase letters, numbers, and hyphens",
+    ),
+  );
+
+  // Test invalid YouTube URL
+  await youtubeInput.fill("https://www.google.com/invalid-url");
+  await youtubeInput.blur();
+  await isVisible(
+    publishAgentModal.getByText("Please enter a valid YouTube URL"),
+  );
+
+  await youtubeInput.clear();
+  await youtubeInput.fill("not-a-url-at-all");
+  await youtubeInput.blur();
+  await isVisible(
+    publishAgentModal.getByText("Please enter a valid YouTube URL"),
+  );
+
+  // Test valid YouTube URLs should not show error
+  await youtubeInput.clear();
+  await youtubeInput.fill("https://www.youtube.com/watch?v=test");
+  await youtubeInput.blur();
+  await page.waitForTimeout(500);
+
+  await isHidden(
+    publishAgentModal.getByText("Please enter a valid YouTube URL"),
+  );
+
+  await youtubeInput.clear();
+  await youtubeInput.fill("https://youtu.be/test123");
+  await youtubeInput.blur();
+  await page.waitForTimeout(500);
+
+  await isHidden(
+    publishAgentModal.getByText("Please enter a valid YouTube URL"),
+  );
+
+  // 5. Test submit button enabled/disabled state
+  await clearForm();
+
+  // Submit button should be disabled when form is empty
+  await page.waitForTimeout(1000);
+  await isDisabled(submitButton);
+
+  // Fill all required fields with valid data
+  await agentTitle.fill("Valid Title");
+  await agentSubheader.fill("Valid Subheader");
+  await agentSlug.fill("valid-slug");
+  await categorySelect.selectOption({ value: "other" });
+  await descriptionInput.fill("Valid description text");
+
+  // Submit button should now be enabled
+  await isEnabled(submitButton);
+});
diff --git a/autogpt_platform/frontend/src/tests/settings.spec.ts b/autogpt_platform/frontend/src/tests/settings.spec.ts
new file mode 100644
index 000000000000..72152ea66f02
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/settings.spec.ts
@@ -0,0 +1,144 @@
+import test, { expect } from "@playwright/test";
+import { getTestUser } from "./utils/auth";
+import { LoginPage } from "./pages/login.page";
+import { hasAttribute, hasUrl, isHidden, isVisible } from "./utils/assertion";
+import { getSelectors } from "./utils/selectors";
+
+test.beforeEach(async ({ page }) => {
+  const testUser = await getTestUser();
+  const loginPage = new LoginPage(page);
+
+  // Login and navigate to settings
+  await page.goto("/login");
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
+
+  // Navigate to settings page
+  await page.goto("/profile/settings");
+  await hasUrl(page, "/profile/settings");
+});
+
+test("should display email form elements correctly", async ({ page }) => {
+  const { getField, getButton, getText, getLink } = getSelectors(page);
+
+  // Check email form elements are displayed
+  await isVisible(getText("Security & Access"));
+  await isVisible(getField("Email"));
+  await isVisible(getLink("Reset password"));
+  await isVisible(getButton("Update email"));
+
+  const updateEmailButton = getButton("Update email");
+  const resetPasswordButton = getLink("Reset password");
+
+  // Button should be disabled initially (no changes)
+  await expect(updateEmailButton).toBeDisabled();
+
+  // Test reset password navigation
+  await hasAttribute(resetPasswordButton, "href", "/reset-password");
+});
+
+test("should show validation error for empty email", async ({ page }) => {
+  const { getField, getButton } = getSelectors(page);
+
+  const emailField = getField("Email");
+  const updateEmailButton = getButton("Update email");
+
+  await emailField.fill("");
+  await updateEmailButton.click();
+  await isVisible(page.getByText("Email is required"));
+});
+
+test("should show validation error for invalid email", async ({ page }) => {
+  const { getField, getButton } = getSelectors(page);
+
+  const emailField = getField("Email");
+  const updateEmailButton = getButton("Update email");
+
+  await emailField.fill("invalid email");
+  await updateEmailButton.click();
+  await isVisible(page.getByText("Please enter a valid email address"));
+});
+
+test("should handle valid email", async ({ page }) => {
+  const { getField, getButton } = getSelectors(page);
+
+  const emailField = getField("Email");
+  const updateEmailButton = getButton("Update email");
+
+  // Test successful email update
+  const newEmail = `test+${Date.now()}@example.com`;
+  await emailField.fill(newEmail);
+  await expect(updateEmailButton).toBeEnabled();
+  await updateEmailButton.click();
+  await isHidden(page.getByText("Email is required"));
+  await isHidden(page.getByText("Please enter a valid email address"));
+});
+
+test("should handle complete notification form functionality and form interactions", async ({
+  page,
+}) => {
+  const { getButton } = getSelectors(page);
+
+  // Check notification form elements are displayed
+  await isVisible(
+    page.getByRole("heading", { name: "Notifications", exact: true }),
+  );
+
+  await isVisible(getButton("Cancel"));
+  await isVisible(getButton("Save preferences"));
+
+  // Check all notification switches are present - get all switches on page
+  const switches = await page.getByRole("switch").all();
+
+  for (const switchElement of switches) {
+    await isVisible(switchElement);
+  }
+
+  const savePreferencesButton = getButton("Save preferences");
+  const cancelButton = getButton("Cancel");
+
+  // Button should be disabled initially (no changes)
+  await expect(savePreferencesButton).toBeDisabled();
+
+  // Test switch toggling functionality
+  for (const switchElement of switches) {
+    const initialState = await switchElement.isChecked();
+    await switchElement.click();
+    const newState = await switchElement.isChecked();
+    expect(newState).toBe(!initialState);
+  }
+
+  // Test button enabling when changes are made
+  if (switches.length > 0) {
+    await expect(savePreferencesButton).toBeEnabled();
+  }
+
+  // Test cancel functionality
+  await cancelButton.click();
+  // Wait for form state to update after cancel
+  await page.waitForTimeout(100);
+  await expect(savePreferencesButton).toBeDisabled();
+
+  // Test successful save with multiple switches
+  const testSwitches = switches.slice(0, Math.min(3, switches.length));
+  for (const switchElement of testSwitches) {
+    await switchElement.click();
+  }
+  await expect(savePreferencesButton).toBeEnabled();
+  await savePreferencesButton.click();
+  await isVisible(getButton("Saving..."));
+  await isVisible(
+    page.getByText("Successfully updated notification preferences"),
+  );
+
+  // Test persistence after page reload
+  if (testSwitches.length > 0) {
+    const finalState = await testSwitches[0].isChecked();
+    await page.reload();
+    await hasUrl(page, "/profile/settings");
+    const reloadedSwitches = await page.getByRole("switch").all();
+    if (reloadedSwitches.length > 0) {
+      expect(await reloadedSwitches[0].isChecked()).toBe(finalState);
+    }
+  }
+});
diff --git a/autogpt_platform/frontend/src/tests/signin.spec.ts b/autogpt_platform/frontend/src/tests/signin.spec.ts
new file mode 100644
index 000000000000..8fdc6bceb46c
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/signin.spec.ts
@@ -0,0 +1,173 @@
+// auth.spec.ts
+
+import test from "@playwright/test";
+import { getTestUser } from "./utils/auth";
+import { LoginPage } from "./pages/login.page";
+import { hasUrl, isHidden, isVisible } from "./utils/assertion";
+import { getSelectors } from "./utils/selectors";
+import { BuildPage } from "./pages/build.page";
+
+test.beforeEach(async ({ page }) => {
+  await page.goto("/login");
+});
+
+test("check the navigation when logged out", async ({ page }) => {
+  const { getButton, getText, getLink } = getSelectors(page);
+
+  // Test marketplace link
+  const marketplaceLink = getLink("Marketplace");
+  await isVisible(marketplaceLink);
+  await marketplaceLink.click();
+  await hasUrl(page, "/marketplace");
+  await isVisible(getText("Explore AI agents", { exact: false }));
+
+  // Test login button
+  const loginBtn = getButton("Log In");
+  await isVisible(loginBtn);
+  await loginBtn.click();
+  await hasUrl(page, "/login");
+  await isHidden(loginBtn);
+});
+
+test("user can login successfully", async ({ page }) => {
+  const testUser = await getTestUser();
+  const loginPage = new LoginPage(page);
+  const { getId, getButton, getRole } = getSelectors(page);
+
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
+
+  const accountMenuTrigger = getId("profile-popout-menu-trigger");
+
+  await isVisible(accountMenuTrigger);
+
+  await accountMenuTrigger.click();
+  const accountMenuPopover = getRole("dialog");
+  await isVisible(accountMenuPopover);
+
+  const accountMenuUserEmail = getId("account-menu-user-email");
+  await isVisible(accountMenuUserEmail);
+  await test
+    .expect(accountMenuUserEmail)
+    .toHaveText(testUser.email.split("@")[0].toLowerCase());
+
+  const logoutBtn = getButton("Log out");
+  await isVisible(logoutBtn);
+  await logoutBtn.click();
+});
+
+test("user can logout successfully", async ({ page }) => {
+  const testUser = await getTestUser();
+  const loginPage = new LoginPage(page);
+  const { getButton, getId } = getSelectors(page);
+
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
+
+  // Open account menu
+  await getId("profile-popout-menu-trigger").click();
+
+  // Logout
+  await getButton("Log out").click();
+  await hasUrl(page, "/login");
+});
+
+test("login in, then out, then in again", async ({ page }) => {
+  const testUser = await getTestUser();
+  const loginPage = new LoginPage(page);
+  const { getButton, getId } = getSelectors(page);
+
+  await loginPage.login(testUser.email, testUser.password);
+  await hasUrl(page, "/marketplace");
+
+  // Click on the profile menu trigger to open account menu
+  await getId("profile-popout-menu-trigger").click();
+
+  // Click the logout button in the popout menu
+  await getButton("Log out").click();
+
+  await test.expect(page).toHaveURL("/login");
+  await loginPage.login(testUser.email, testUser.password);
+  await test.expect(page).toHaveURL("/marketplace");
+  await test
+    .expect(page.getByTestId("profile-popout-menu-trigger"))
+    .toBeVisible();
+});
+
+test("multi-tab logout with WebSocket cleanup", async ({ context }) => {
+  const testUser = await getTestUser();
+
+  // Tab 1
+  const page1 = await context.newPage();
+  const builderPage1 = new BuildPage(page1);
+
+  // Capture console errors to ensure WebSocket cleanup prevents errors
+  const consoleErrors: string[] = [];
+  page1.on("console", (msg) => {
+    if (msg.type() === "error" && msg.text().includes("WebSocket")) {
+      consoleErrors.push(`Page1: ${msg.text()}`);
+    }
+  });
+
+  const loginPage1 = new LoginPage(page1);
+  const { getButton: getButton1, getId: getId1 } = getSelectors(page1);
+
+  // Login
+  await page1.goto("/login");
+  await loginPage1.login(testUser.email, testUser.password);
+  await hasUrl(page1, "/marketplace");
+
+  //  Navigate to builder + wait for WebSocket connection
+  await page1.goto("/build");
+  await hasUrl(page1, "/build");
+  await builderPage1.closeTutorial();
+  await page1.waitForTimeout(1000);
+  await isVisible(getId1("profile-popout-menu-trigger"));
+
+  // Tab 2
+  const page2 = await context.newPage();
+
+  const { getId: getId2 } = getSelectors(page2);
+
+  page2.on("console", (msg) => {
+    if (msg.type() === "error" && msg.text().includes("WebSocket")) {
+      consoleErrors.push(`Page2: ${msg.text()}`);
+    }
+  });
+
+  // Navigate to builder + wait for WebSocket connection
+  await page2.goto("/build");
+  await hasUrl(page2, "/build");
+  await page2.waitForTimeout(1000);
+  await isVisible(getId2("profile-popout-menu-trigger"));
+
+  // Tab 1: Logout
+  await getId1("profile-popout-menu-trigger").click();
+  await getButton1("Log out").click();
+  await hasUrl(page1, "/login");
+
+  // Tab 2: Wait for cross-tab logout to take effect and check if redirected to login
+  await page2.waitForTimeout(2000); // Give time for cross-tab logout mechanism
+
+  // Check if Tab 2 has been redirected to login or refresh the page to trigger redirect
+  try {
+    await page2.reload();
+    await hasUrl(page2, "/login");
+  } catch {
+    // If reload fails, the page might already be redirecting
+    await hasUrl(page2, "/login");
+  }
+
+  // Verify the profile menu is no longer visible (user is logged out)
+  await isHidden(getId2("profile-popout-menu-trigger"));
+
+  // Verify no WebSocket connection errors occurred during logout
+  test.expect(consoleErrors).toHaveLength(0);
+  if (consoleErrors.length > 0) {
+    console.log("WebSocket errors during logout:", consoleErrors);
+  }
+
+  // Clean up
+  await page1.close();
+  await page2.close();
+});
diff --git a/autogpt_platform/frontend/src/tests/signup.spec.ts b/autogpt_platform/frontend/src/tests/signup.spec.ts
new file mode 100644
index 000000000000..0d94c9b93f65
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/signup.spec.ts
@@ -0,0 +1,126 @@
+import test, { expect } from "@playwright/test";
+import {
+  generateTestEmail,
+  generateTestPassword,
+  signupTestUser,
+  validateSignupForm,
+} from "./utils/signup";
+import { getSelectors } from "./utils/selectors";
+import { hasUrl, isVisible } from "./utils/assertion";
+
+test("user can signup successfully", async ({ page }) => {
+  try {
+    const testUser = await signupTestUser(page);
+    const { getText, getId } = getSelectors(page);
+
+    // Verify user was created
+    expect(testUser.email).toBeTruthy();
+    expect(testUser.password).toBeTruthy();
+    expect(testUser.createdAt).toBeTruthy();
+
+    const marketplaceText = getText(
+      "Bringing you AI agents designed by thinkers from around the world",
+    );
+
+    // Verify we're on marketplace and authenticated
+    await hasUrl(page, "/marketplace");
+    await isVisible(marketplaceText);
+    await isVisible(getId("profile-popout-menu-trigger"));
+  } catch (error) {
+    console.error("❌ Signup test failed:", error);
+  }
+});
+
+test("signup form validation works", async ({ page }) => {
+  const { getField, getRole, getButton } = getSelectors(page);
+  const emailInput = getField("Email");
+  const passwordInput = page.locator("#password");
+  const confirmPasswordInput = page.locator("#confirmPassword");
+  const signupButton = getButton("Sign up");
+  const termsCheckbox = getRole("checkbox");
+
+  await validateSignupForm(page);
+
+  // Additional validation tests
+  await page.goto("/signup");
+
+  // Test with mismatched passwords
+  await emailInput.fill(generateTestEmail());
+  await passwordInput.fill("password1");
+  await confirmPasswordInput.fill("password2");
+  await termsCheckbox.click();
+  await signupButton.click();
+
+  // Should still be on signup page
+  await hasUrl(page, /\/signup/);
+});
+
+test("user can signup with custom credentials", async ({ page }) => {
+  const { getId } = getSelectors(page);
+
+  try {
+    const customEmail = generateTestEmail();
+    const customPassword = generateTestPassword();
+
+    const testUser = await signupTestUser(page, customEmail, customPassword);
+
+    // Verify correct credentials were used
+    expect(testUser.email).toBe(customEmail);
+    expect(testUser.password).toBe(customPassword);
+
+    // Verify successful signup
+    await hasUrl(page, "/marketplace");
+    await isVisible(getId("profile-popout-menu-trigger"));
+  } catch (error) {
+    console.error("❌ Custom credentials signup test failed:", error);
+  }
+});
+
+test("user can signup with existing email handling", async ({
+  page,
+  browser,
+}) => {
+  try {
+    const testEmail = generateTestEmail();
+    const testPassword = generateTestPassword();
+
+    // First signup
+    const firstUser = await signupTestUser(page, testEmail, testPassword);
+    expect(firstUser.email).toBe(testEmail);
+
+    // Create new browser context for second signup (simulates new browser window)
+    const newContext = await browser.newContext();
+    const newPage = await newContext.newPage();
+
+    try {
+      const { getText, getField, getRole, getButton } = getSelectors(newPage);
+
+      // Second signup attempt with same email in new browser context
+      // Navigate to signup page
+      await newPage.goto("http://localhost:3000/signup");
+
+      // Wait for page to load
+      getText("Create a new account");
+
+      // Fill form
+      const emailInput = getField("Email");
+      await emailInput.fill(testEmail);
+      const passwordInput = newPage.locator("#password");
+      await passwordInput.fill(testPassword);
+      const confirmPasswordInput = newPage.locator("#confirmPassword");
+      await confirmPasswordInput.fill(testPassword);
+
+      // Agree to terms and submit
+      await getRole("checkbox").click();
+      const signupButton = getButton("Sign up");
+      await signupButton.click();
+      await isVisible(getText("User with this email already exists"));
+    } catch (_error) {
+    } finally {
+      // Clean up new browser context
+      await newContext.close();
+    }
+  } catch (error) {
+    console.error("❌ Duplicate email handling test failed:", error);
+  }
+});
diff --git a/autogpt_platform/frontend/src/tests/title.spec.ts b/autogpt_platform/frontend/src/tests/title.spec.ts
index c80123cb7fd5..08bade66b4dd 100644
--- a/autogpt_platform/frontend/src/tests/title.spec.ts
+++ b/autogpt_platform/frontend/src/tests/title.spec.ts
@@ -1,8 +1,6 @@
-import { test, expect } from "./fixtures";
+import test, { expect } from "@playwright/test";
 
 test("has title", async ({ page }) => {
   await page.goto("/");
-
-  // Expect a title "to contain" a substring.
-  await expect(page).toHaveTitle(/NextGen AutoGPT/);
+  await expect(page).toHaveTitle(/AutoGPT Platform/);
 });
diff --git a/autogpt_platform/frontend/src/tests/util.spec.ts b/autogpt_platform/frontend/src/tests/util.spec.ts
index 84fb9a3de6ac..acf4cf53eca6 100644
--- a/autogpt_platform/frontend/src/tests/util.spec.ts
+++ b/autogpt_platform/frontend/src/tests/util.spec.ts
@@ -1,4 +1,4 @@
-import { test, expect } from "./fixtures";
+import test, { expect } from "@playwright/test";
 import { setNestedProperty } from "../lib/utils";
 
 const testCases = [
@@ -34,73 +34,64 @@ const testCases = [
   },
 ];
 
-// Test Suite
-test.describe("Nested Property Setter Tests", () => {
-  test.describe("Valid Usage Tests", () => {
-    // Test secure implementation
-    for (const { name, path, value, expected } of testCases) {
-      test(name, () => {
-        const obj = {};
-        setNestedProperty(obj, path, value);
-        expect(obj).toEqual(expected);
-      });
-    }
+for (const { name, path, value, expected } of testCases) {
+  test(name, () => {
+    const obj = {};
+    setNestedProperty(obj, path, value);
+    expect(obj).toEqual(expected);
   });
+}
 
-  test.describe("Security Improvements", () => {
-    test("should throw error for null object", () => {
-      expect(() => {
-        setNestedProperty(null, "test", "value");
-      }).toThrow("Target must be a non-null object");
-    });
+test("should throw error for null object", () => {
+  expect(() => {
+    setNestedProperty(null, "test", "value");
+  }).toThrow("Target must be a non-null object");
+});
 
-    test("should throw error for undefined object", () => {
-      expect(() => {
-        setNestedProperty(undefined, "test", "value");
-      }).toThrow("Target must be a non-null object");
-    });
+test("should throw error for undefined object", () => {
+  expect(() => {
+    setNestedProperty(undefined, "test", "value");
+  }).toThrow("Target must be a non-null object");
+});
 
-    test("should throw error for non-object target", () => {
-      expect(() => {
-        setNestedProperty("string", "test", "value");
-      }).toThrow("Target must be a non-null object");
-    });
+test("should throw error for non-object target", () => {
+  expect(() => {
+    setNestedProperty("string", "test", "value");
+  }).toThrow("Target must be a non-null object");
+});
 
-    test("should throw error for empty path", () => {
-      expect(() => {
-        setNestedProperty({}, "", "value");
-      }).toThrow("Path must be a non-empty string");
-    });
+test("should throw error for empty path", () => {
+  expect(() => {
+    setNestedProperty({}, "", "value");
+  }).toThrow("Path must be a non-empty string");
+});
 
-    test("should throw error for __proto__ access", () => {
-      expect(() => {
-        setNestedProperty({}, "__proto__.malicious", "attack");
-      }).toThrow("Invalid property name: __proto__");
-    });
+test("should throw error for __proto__ access", () => {
+  expect(() => {
+    setNestedProperty({}, "__proto__.malicious", "attack");
+  }).toThrow("Invalid property name: __proto__");
+});
 
-    test("should throw error for constructor access", () => {
-      expect(() => {
-        setNestedProperty({}, "constructor.prototype.malicious", "attack");
-      }).toThrow("Invalid property name: constructor");
-    });
+test("should throw error for constructor access", () => {
+  expect(() => {
+    setNestedProperty({}, "constructor.prototype.malicious", "attack");
+  }).toThrow("Invalid property name: constructor");
+});
 
-    test("should throw error for prototype access", () => {
-      expect(() => {
-        setNestedProperty({}, "obj.prototype.malicious", "attack");
-      }).toThrow("Invalid property name: prototype");
-    });
-  });
+test("should throw error for prototype access", () => {
+  expect(() => {
+    setNestedProperty({}, "obj.prototype.malicious", "attack");
+  }).toThrow("Invalid property name: prototype");
+});
 
-  test.describe("Prototype Pollution Vulnerability Demo", () => {
-    test("secure implementation prevents prototype pollution", () => {
-      const obj = {};
-      expect(() => {
-        setNestedProperty(obj, "__proto__.polluted", true);
-      }).toThrow("Invalid property name: __proto__");
+test("secure implementation prevents prototype pollution", () => {
+  const obj = {};
+  expect(() => {
+    setNestedProperty(obj, "__proto__.polluted", true);
+  }).toThrow("Invalid property name: __proto__");
 
-      // Verify no pollution occurred
-      // @ts-ignore
-      expect({}.polluted).toBeUndefined();
-    });
-  });
+  // Verify no pollution occurred
+  // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+  // @ts-ignore
+  expect({}.polluted).toBeUndefined();
 });
diff --git a/autogpt_platform/frontend/src/tests/utils/assertion.ts b/autogpt_platform/frontend/src/tests/utils/assertion.ts
new file mode 100644
index 000000000000..fac7ecdc7cad
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/utils/assertion.ts
@@ -0,0 +1,54 @@
+import { Locator, Page, expect } from "@playwright/test";
+
+export async function isVisible(el: Locator, timeout?: number) {
+  await expect(el).toBeVisible(timeout ? { timeout } : undefined);
+}
+
+export async function hasAttribute(
+  el: Locator,
+  label: string,
+  val: string | RegExp,
+) {
+  await expect(el).toHaveAttribute(label, val);
+}
+
+export async function hasTextContent(el: Locator, text: string | RegExp) {
+  await expect(el).toContainText(text);
+}
+
+export async function isHidden(el: Locator, timeout?: number) {
+  await expect(el).toBeHidden(timeout ? { timeout } : undefined);
+}
+
+export async function hasUrl(
+  page: Page,
+  url: string | RegExp,
+  opts?: { decoded?: boolean },
+) {
+  if (opts?.decoded) {
+    return expect(decodeURIComponent(page.url())).toBe(url);
+  }
+
+  await expect(page).toHaveURL(url);
+}
+
+export async function hasFieldValue(el: Locator, value: string | RegExp) {
+  await expect(el).toHaveValue(value);
+}
+
+export async function isDisabled(el: Locator) {
+  await expect(el).toBeDisabled();
+}
+
+export async function isEnabled(el: Locator) {
+  await expect(el).toBeEnabled();
+}
+
+export async function hasMinCount(el: Locator, minCount: number) {
+  const count = await el.count();
+  expect(count).toBeGreaterThanOrEqual(minCount);
+}
+
+export async function matchesUrl(page: Page, pattern: RegExp) {
+  expect(page.url()).toMatch(pattern);
+}
diff --git a/autogpt_platform/frontend/src/tests/utils/auth.ts b/autogpt_platform/frontend/src/tests/utils/auth.ts
new file mode 100644
index 000000000000..d3efdaf05ec3
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/utils/auth.ts
@@ -0,0 +1,162 @@
+import { faker } from "@faker-js/faker";
+import fs from "fs";
+import path from "path";
+import { signupTestUser } from "./signup";
+import { getBrowser } from "./get-browser";
+
+export interface TestUser {
+  email: string;
+  password: string;
+  id?: string;
+  createdAt?: string;
+}
+
+export interface UserPool {
+  users: TestUser[];
+  createdAt: string;
+  version: string;
+}
+
+export async function createTestUser(
+  email?: string,
+  password?: string,
+  ignoreOnboarding: boolean = true,
+): Promise<TestUser> {
+  const userEmail = email || faker.internet.email();
+  const userPassword = password || faker.internet.password({ length: 12 });
+
+  try {
+    const browser = await getBrowser();
+    const context = await browser.newContext();
+    const page = await context.newPage();
+
+    try {
+      const testUser = await signupTestUser(
+        page,
+        userEmail,
+        userPassword,
+        ignoreOnboarding,
+        false,
+      );
+      return testUser;
+    } finally {
+      await page.close();
+      await context.close();
+      await browser.close();
+    }
+  } catch (error) {
+    console.error(`❌ Error creating test user ${userEmail}:`, error);
+    throw error;
+  }
+}
+
+export async function createTestUsers(count: number): Promise<TestUser[]> {
+  console.log(`👥 Creating ${count} test users...`);
+
+  const users: TestUser[] = [];
+  let consecutiveFailures = 0;
+
+  for (let i = 0; i < count; i++) {
+    try {
+      const user = await createTestUser();
+      users.push(user);
+      consecutiveFailures = 0; // Reset failure counter on success
+      console.log(`✅ Created user ${i + 1}/${count}: ${user.email}`);
+
+      // Small delay to prevent overwhelming the system
+      if (i < count - 1) {
+        await new Promise((resolve) => setTimeout(resolve, 500));
+      }
+    } catch (error) {
+      consecutiveFailures++;
+      console.error(`❌ Failed to create user ${i + 1}/${count}:`, error);
+
+      // If we have too many consecutive failures, stop trying
+      if (consecutiveFailures >= 3) {
+        console.error(
+          `⚠️ Stopping after ${consecutiveFailures} consecutive failures`,
+        );
+        break;
+      }
+
+      // Add a longer delay after failure to let system recover
+      await new Promise((resolve) => setTimeout(resolve, 1000));
+    }
+  }
+
+  console.log(`🎉 Successfully created ${users.length}/${count} test users`);
+  return users;
+}
+
+export async function saveUserPool(
+  users: TestUser[],
+  filePath?: string,
+): Promise<void> {
+  const defaultPath = path.resolve(process.cwd(), ".auth", "user-pool.json");
+  const finalPath = filePath || defaultPath;
+
+  // Ensure .auth directory exists
+  const dirPath = path.dirname(finalPath);
+  if (!fs.existsSync(dirPath)) {
+    fs.mkdirSync(dirPath, { recursive: true });
+  }
+
+  const userPool: UserPool = {
+    users,
+    createdAt: new Date().toISOString(),
+    version: "1.0.0",
+  };
+
+  try {
+    fs.writeFileSync(finalPath, JSON.stringify(userPool, null, 2));
+    console.log(`✅ Successfully saved user pool to: ${finalPath}`);
+  } catch (error) {
+    console.error(`❌ Failed to save user pool to ${finalPath}:`, error);
+    throw error;
+  }
+}
+
+export async function loadUserPool(
+  filePath?: string,
+): Promise<UserPool | null> {
+  const defaultPath = path.resolve(process.cwd(), ".auth", "user-pool.json");
+  const finalPath = filePath || defaultPath;
+
+  console.log(`📖 Loading user pool from: ${finalPath}`);
+
+  try {
+    if (!fs.existsSync(finalPath)) {
+      console.log(`⚠️ User pool file not found: ${finalPath}`);
+      return null;
+    }
+
+    const fileContent = fs.readFileSync(finalPath, "utf-8");
+    const userPool: UserPool = JSON.parse(fileContent);
+
+    console.log(
+      `✅ Successfully loaded ${userPool.users.length} users from: ${finalPath}`,
+    );
+    console.log(`📅 User pool created at: ${userPool.createdAt}`);
+    console.log(`🔖 User pool version: ${userPool.version}`);
+
+    return userPool;
+  } catch (error) {
+    console.error(`❌ Failed to load user pool from ${finalPath}:`, error);
+    return null;
+  }
+}
+
+export async function getTestUser(): Promise<TestUser> {
+  const userPool = await loadUserPool();
+  if (!userPool) {
+    throw new Error("User pool not found");
+  }
+
+  if (userPool.users.length === 0) {
+    throw new Error("No users available in the pool");
+  }
+
+  // Return a random user from the pool
+  const randomIndex = Math.floor(Math.random() * userPool.users.length);
+  return userPool.users[randomIndex];
+}
diff --git a/autogpt_platform/frontend/src/tests/utils/get-browser.ts b/autogpt_platform/frontend/src/tests/utils/get-browser.ts
new file mode 100644
index 000000000000..aef477830502
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/utils/get-browser.ts
@@ -0,0 +1,12 @@
+import { chromium, webkit } from "@playwright/test";
+
+export const getBrowser = async () => {
+  const browserType = process.env.BROWSER_TYPE || "chromium";
+
+  const browser =
+    browserType === "webkit"
+      ? await webkit.launch({ headless: true })
+      : await chromium.launch({ headless: true });
+
+  return browser;
+};
diff --git a/autogpt_platform/frontend/src/tests/utils/selectors.ts b/autogpt_platform/frontend/src/tests/utils/selectors.ts
new file mode 100644
index 000000000000..4306be5178b5
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/utils/selectors.ts
@@ -0,0 +1,67 @@
+import { Locator, Page } from "@playwright/test";
+
+export function getSelectors(page: Page) {
+  return {
+    getButton: makeSelector(page, getButton),
+    getText: (name: string | RegExp, options?: GetByTextOptions) =>
+      getText(page, name, options),
+    getLink: makeSelector(page, getLink),
+    getField: makeSelector(page, getField),
+    getId: makeSelector(page, getId),
+    within: (name: string) => within(page, name),
+    getRole: (
+      role: Roles,
+      name?: string | RegExp,
+      options?: GetByRoleOptions & { within?: Locator },
+    ) => getRole(options?.within || page, role, name, options),
+  };
+}
+
+function makeSelector(
+  page: Page,
+  fn: (context: Page | Locator, name: string | RegExp) => Locator,
+) {
+  return <T extends string | RegExp>(name: T, locator?: Locator) =>
+    fn(locator || page, name);
+}
+
+function getText(
+  context: Page | Locator,
+  name: string | RegExp,
+  options?: GetByTextOptions,
+) {
+  return context.getByText(name, options);
+}
+
+function getButton(context: Page | Locator, name: string | RegExp) {
+  return getRole(context, "button", name);
+}
+
+function getLink(context: Page | Locator, name: string | RegExp) {
+  return context.getByRole("link", { name });
+}
+
+function getField(context: Page | Locator, name: string | RegExp) {
+  return context.getByLabel(name, { exact: true });
+}
+
+function getId(context: Page | Locator, testid: string | RegExp) {
+  return context.getByTestId(testid);
+}
+
+function within(context: Page, testid: string) {
+  return context.locator(`data-testid=${testid}`);
+}
+
+function getRole(
+  context: Page | Locator,
+  role: Roles,
+  name?: string | RegExp,
+  options?: GetByRoleOptions,
+) {
+  return context.getByRole(role, { ...options, ...(name ? { name } : null) });
+}
+
+type GetByTextOptions = Parameters<Page["getByText"]>["1"];
+type GetByRoleOptions = Parameters<Page["getByRole"]>["1"];
+type Roles = Parameters<Page["getByRole"]>["0"];
diff --git a/autogpt_platform/frontend/src/tests/utils/signin.ts b/autogpt_platform/frontend/src/tests/utils/signin.ts
new file mode 100644
index 000000000000..b9c77ede79fa
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/utils/signin.ts
@@ -0,0 +1,99 @@
+import { Page } from "@playwright/test";
+import { LoginPage } from "../pages/login.page";
+
+type TestUser = {
+  email: string;
+  password: string;
+  id?: string;
+};
+
+/**
+ * Utility functions for signin/authentication tests
+ */
+export class SigninUtils {
+  constructor(
+    private page: Page,
+    private loginPage: LoginPage,
+  ) {}
+
+  /**
+   * Perform login and verify success
+   */
+  async loginAndVerify(testUser: TestUser): Promise<void> {
+    console.log(`🔐 Logging in as: ${testUser.email}`);
+
+    await this.page.goto("/login");
+    await this.loginPage.login(testUser.email, testUser.password);
+
+    // Verify we're on marketplace
+    await this.page.waitForURL("/marketplace");
+
+    // Verify profile menu is visible (user is authenticated)
+    await this.page.getByTestId("profile-popout-menu-trigger").waitFor({
+      state: "visible",
+      timeout: 5000,
+    });
+
+    console.log("✅ Login successful");
+  }
+
+  /**
+   * Perform logout and verify success
+   */
+  async logoutAndVerify(): Promise<void> {
+    console.log("🚪 Logging out...");
+
+    // Open profile menu
+    await this.page.getByTestId("profile-popout-menu-trigger").click();
+
+    // Wait for menu to be visible
+    await this.page.getByRole("button", { name: "Log out" }).waitFor({
+      state: "visible",
+      timeout: 5000,
+    });
+
+    // Click logout
+    await this.page.getByRole("button", { name: "Log out" }).click();
+
+    // Verify we're back on login page
+    await this.page.waitForURL("/login");
+
+    console.log("✅ Logout successful");
+  }
+
+  /**
+   * Complete authentication cycle: login -> logout -> login
+   */
+  async fullAuthenticationCycle(testUser: TestUser): Promise<void> {
+    console.log("🔄 Starting full authentication cycle...");
+
+    // First login
+    await this.loginAndVerify(testUser);
+
+    // Logout
+    await this.logoutAndVerify();
+
+    // Login again
+    await this.loginAndVerify(testUser);
+
+    console.log("✅ Full authentication cycle completed");
+  }
+
+  /**
+   * Verify user is on marketplace and authenticated
+   */
+  async verifyAuthenticated(): Promise<void> {
+    await this.page.waitForURL("/marketplace");
+    await this.page.getByTestId("profile-popout-menu-trigger").waitFor({
+      state: "visible",
+      timeout: 5000,
+    });
+  }
+
+  /**
+   * Verify user is on login page (not authenticated)
+   */
+  async verifyNotAuthenticated(): Promise<void> {
+    await this.page.waitForURL("/login");
+  }
+}
diff --git a/autogpt_platform/frontend/src/tests/utils/signup.ts b/autogpt_platform/frontend/src/tests/utils/signup.ts
new file mode 100644
index 000000000000..ab8e8be0b173
--- /dev/null
+++ b/autogpt_platform/frontend/src/tests/utils/signup.ts
@@ -0,0 +1,157 @@
+import { faker } from "@faker-js/faker";
+import { TestUser } from "./auth";
+import { getSelectors } from "./selectors";
+import { isVisible } from "./assertion";
+import { BuildPage } from "../pages/build.page";
+
+export async function signupTestUser(
+  page: any,
+  email?: string,
+  password?: string,
+  ignoreOnboarding: boolean = true,
+  withAgent: boolean = false,
+): Promise<TestUser> {
+  const userEmail = email || faker.internet.email();
+  const userPassword = password || faker.internet.password({ length: 12 });
+
+  const { getText, getField, getRole, getButton, getId } = getSelectors(page);
+
+  try {
+    // Navigate to signup page
+    await page.goto("http://localhost:3000/signup");
+
+    // Wait for page to load
+    getText("Create a new account");
+
+    // Fill form
+    const emailInput = getField("Email");
+    await emailInput.fill(userEmail);
+    const passwordInput = page.locator("#password");
+    await passwordInput.fill(userPassword);
+    const confirmPasswordInput = page.locator("#confirmPassword");
+    await confirmPasswordInput.fill(userPassword);
+
+    // Agree to terms and submit
+    await getRole("checkbox").click();
+    const signupButton = getButton("Sign up");
+    await signupButton.click();
+
+    // Wait for successful signup - could redirect to onboarding or marketplace
+
+    try {
+      // Wait for either onboarding or marketplace redirect
+      await Promise.race([
+        page.waitForURL(/\/onboarding/, { timeout: 15000 }),
+        page.waitForURL(/\/marketplace/, { timeout: 15000 }),
+      ]);
+    } catch (error) {
+      console.error(
+        "❌ Timeout waiting for redirect, current URL:",
+        page.url(),
+      );
+      throw error;
+    }
+
+    const currentUrl = page.url();
+
+    // Handle onboarding or marketplace redirect
+    if (currentUrl.includes("/onboarding") && ignoreOnboarding) {
+      await page.goto("http://localhost:3000/marketplace");
+      await page.waitForLoadState("domcontentloaded", { timeout: 10000 });
+    }
+
+    // Verify we're on the expected final page
+    if (ignoreOnboarding || currentUrl.includes("/marketplace")) {
+      // Verify we're on marketplace
+      await page
+        .getByText(
+          "Bringing you AI agents designed by thinkers from around the world",
+        )
+        .waitFor({ state: "visible", timeout: 10000 });
+
+      // Verify user is authenticated (profile menu visible)
+      await page
+        .getByTestId("profile-popout-menu-trigger")
+        .waitFor({ state: "visible", timeout: 10000 });
+    }
+
+    if (withAgent) {
+      // Create a dummy agent for each new user
+      const buildLink = getId("navbar-link-build");
+      await buildLink.click();
+
+      const blocksBtn = getId("blocks-control-blocks-button");
+      await isVisible(blocksBtn);
+
+      const buildPage = new BuildPage(page);
+      await buildPage.createDummyAgent();
+    }
+
+    const testUser: TestUser = {
+      email: userEmail,
+      password: userPassword,
+      createdAt: new Date().toISOString(),
+    };
+
+    return testUser;
+  } catch (error) {
+    console.error(`❌ Error creating test user ${userEmail}:`, error);
+    throw error;
+  }
+}
+
+export async function signupAndNavigateToMarketplace(
+  page: any,
+  email?: string,
+  password?: string,
+): Promise<TestUser> {
+  console.log("🧪 Creating user and navigating to marketplace...");
+
+  // Create the user via signup and automatically navigate to marketplace
+  const testUser = await signupTestUser(page, email, password, true);
+
+  console.log("✅ User successfully created and authenticated in marketplace");
+  return testUser;
+}
+
+export async function validateSignupForm(page: any): Promise<void> {
+  console.log("🧪 Validating signup form...");
+
+  await page.goto("http://localhost:3000/signup");
+
+  // Test empty form submission
+  console.log("❌ Testing empty form submission...");
+  const signupButton = page.getByRole("button", { name: "Sign up" });
+  await signupButton.click();
+
+  // Should still be on signup page
+  const currentUrl = page.url();
+  if (currentUrl.includes("/signup")) {
+    console.log("✅ Empty form correctly blocked");
+  } else {
+    console.log("⚠️ Empty form was not blocked as expected");
+  }
+
+  // Test invalid email
+  console.log("❌ Testing invalid email...");
+  await page.getByLabel("Email").fill("invalid-email");
+  await signupButton.click();
+
+  // Should still be on signup page
+  const currentUrl2 = page.url();
+  if (currentUrl2.includes("/signup")) {
+    console.log("✅ Invalid email correctly blocked");
+  } else {
+    console.log("⚠️ Invalid email was not blocked as expected");
+  }
+
+  console.log("✅ Signup form validation completed");
+}
+
+export function generateTestEmail(): string {
+  return `test.${Date.now()}.${Math.random().toString(36).substring(7)}@example.com`;
+}
+
+export function generateTestPassword(): string {
+  return faker.internet.password({ length: 12 });
+}
diff --git a/autogpt_platform/frontend/src/tests/utils/user-generator.ts b/autogpt_platform/frontend/src/tests/utils/user-generator.ts
deleted file mode 100644
index dd8775fc0727..000000000000
--- a/autogpt_platform/frontend/src/tests/utils/user-generator.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { faker } from "@faker-js/faker";
-
-export function generateUser() {
-  return {
-    email: faker.internet.email(),
-    password: faker.internet.password(),
-    name: faker.person.fullName(),
-  };
-}
diff --git a/autogpt_platform/frontend/src/types/auth.ts b/autogpt_platform/frontend/src/types/auth.ts
new file mode 100644
index 000000000000..545ac976da44
--- /dev/null
+++ b/autogpt_platform/frontend/src/types/auth.ts
@@ -0,0 +1,63 @@
+import { z } from "zod";
+
+export type LoginProvider = "google" | "github" | "discord";
+
+export const loginFormSchema = z.object({
+  email: z
+    .string()
+    .email()
+    .max(128, "Email must contain at most 128 characters")
+    .trim(),
+  password: z
+    .string()
+    .min(6, "Password must contain at least 6 characters")
+    .max(64, "Password must contain at most 64 characters"),
+});
+
+export const signupFormSchema = z
+  .object({
+    email: z
+      .string()
+      .email()
+      .max(128, "Email must contain at most 128 characters")
+      .trim(),
+    password: z
+      .string()
+      .min(12, "Password must contain at least 12 characters")
+      .max(64, "Password must contain at most 64 characters"),
+    confirmPassword: z
+      .string()
+      .min(12, "Password must contain at least 12 characters")
+      .max(64, "Password must contain at most 64 characters"),
+    agreeToTerms: z.boolean().refine((value) => value === true, {
+      message: "You must agree to the Terms of Use and Privacy Policy",
+    }),
+  })
+  .refine((data) => data.password === data.confirmPassword, {
+    message: "Passwords don't match",
+    path: ["confirmPassword"],
+  });
+
+export const sendEmailFormSchema = z.object({
+  email: z
+    .string()
+    .email()
+    .max(128, "Email must contain at most 128 characters")
+    .trim(),
+});
+
+export const changePasswordFormSchema = z
+  .object({
+    password: z
+      .string()
+      .min(12, "Password must contain at least 12 characters")
+      .max(64, "Password must contain at most 64 characters"),
+    confirmPassword: z
+      .string()
+      .min(12, "Password must contain at least 12 characters")
+      .max(64, "Password must contain at most 64 characters"),
+  })
+  .refine((data) => data.password === data.confirmPassword, {
+    message: "Passwords don't match",
+    path: ["confirmPassword"],
+  });
diff --git a/autogpt_platform/frontend/src/types/google.ts b/autogpt_platform/frontend/src/types/google.ts
new file mode 100644
index 000000000000..c040b75a1041
--- /dev/null
+++ b/autogpt_platform/frontend/src/types/google.ts
@@ -0,0 +1,32 @@
+/**
+ * Partial copy of types/google.ts from @next/third-parties.
+ * Original source file: https://github.com/vercel/next.js/blob/cb49b483f1e2f63dcf6880765585830b48154e29/packages/third-parties/src/types/google.ts
+ */
+
+type JSONValue =
+  | string
+  | number
+  | boolean
+  | JSONValue[]
+  | {
+      [key: string]: JSONValue;
+    };
+
+export type GTMParams = {
+  gtmId: string;
+  gtmScriptUrl?: string;
+  dataLayer?: {
+    [key: string]: JSONValue;
+  };
+  dataLayerName?: string;
+  auth?: string;
+  preview?: string;
+  nonce?: string;
+};
+
+export type GAParams = {
+  gaId: string;
+  dataLayerName?: string;
+  debugMode?: boolean;
+  nonce?: string;
+};
diff --git a/autogpt_platform/frontend/src/types/svg.d.ts b/autogpt_platform/frontend/src/types/svg.d.ts
new file mode 100644
index 000000000000..d2bae43c0f0f
--- /dev/null
+++ b/autogpt_platform/frontend/src/types/svg.d.ts
@@ -0,0 +1,8 @@
+declare module "*.svg" {
+  const content: {
+    src: string;
+    height: number;
+    width: number;
+  };
+  export default content;
+}
diff --git a/autogpt_platform/frontend/tailwind.config.ts b/autogpt_platform/frontend/tailwind.config.ts
index 3101cd7cc5dc..72c00189195b 100644
--- a/autogpt_platform/frontend/tailwind.config.ts
+++ b/autogpt_platform/frontend/tailwind.config.ts
@@ -1,4 +1,6 @@
 import type { Config } from "tailwindcss";
+import tailwindcssAnimate from "tailwindcss-animate";
+import { colors } from "./src/components/styles/colors";
 
 const config = {
   darkMode: ["class"],
@@ -16,10 +18,16 @@ const config = {
       fontFamily: {
         sans: ["var(--font-geist-sans)"],
         mono: ["var(--font-geist-mono)"],
-        // Include the custom font family
-        neue: ['"PP Neue Montreal TT"', "sans-serif"],
+        poppins: ["var(--font-poppins)"],
       },
       colors: {
+        // *** APPROVED DESIGN SYSTEM COLORS ***
+        // These are the ONLY colors that should be used in our app
+        ...colors,
+
+        // Legacy colors - DO NOT USE THESE IN NEW CODE
+        // These are kept only to prevent breaking existing styles
+        // Use the approved design system colors above instead
         border: "hsl(var(--border))",
         input: "hsl(var(--input))",
         ring: "hsl(var(--ring))",
@@ -53,7 +61,6 @@ const config = {
           DEFAULT: "hsl(var(--card))",
           foreground: "hsl(var(--card-foreground))",
         },
-        // Extend the color palette with custom colors
         customGray: {
           100: "#d9d9d9",
           200: "#a8a8a8",
@@ -66,60 +73,65 @@ const config = {
       },
       spacing: {
         // Tailwind spacing + custom sizes
-        0: "0rem",
-        0.5: "0.125rem",
-        1: "0.25rem",
-        1.5: "0.375rem",
-        2: "0.5rem",
-        2.5: "0.625rem",
-        3: "0.75rem",
-        3.5: "0.875rem",
-        4: "1rem",
-        5: "1.25rem",
-        6: "1.5rem",
-        7: "1.75rem",
-        7.5: "1.875rem",
-        8: "2rem",
-        8.5: "2.125rem",
-        9: "2.25rem",
-        10: "2.5rem",
-        11: "2.75rem",
-        12: "3rem",
-        14: "3.5rem",
-        16: "4rem",
-        18: "4.5rem",
-        20: "5rem",
-        24: "6rem",
-        28: "7rem",
-        32: "8rem",
-        36: "9rem",
-        39: "9.875rem",
-        40: "10rem",
-        44: "11rem",
-        48: "12rem",
-        52: "13rem",
-        56: "14rem",
-        69: "14.875rem",
-        60: "15rem",
-        63: "15.875rem",
-        64: "16rem",
-        68: "17.75rem",
-        72: "18rem",
-        77: "18.5625rem",
-        80: "20rem",
-        89: "22.5rem",
-        96: "24rem",
-        110: "27.5rem",
-        139: "37.1875rem",
-        167: "41.6875rem",
-        225: "56.25rem",
+        0: "0rem", // 0px
+        0.5: "0.125rem", // 2px
+        1: "0.25rem", // 4px
+        1.5: "0.375rem", // 6px
+        2: "0.5rem", // 8px
+        2.5: "0.625rem", // 10px
+        3: "0.75rem", // 12px
+        3.5: "0.875rem", // 14px
+        4: "1rem", // 16px
+        5: "1.25rem", // 20px
+        6: "1.5rem", // 24px
+        7: "1.75rem", // 28px
+        7.5: "1.875rem", // 30px
+        8: "2rem", // 32px
+        8.5: "2.125rem", // 34px
+        9: "2.25rem", // 36px
+        10: "2.5rem", // 40px
+        11: "2.75rem", // 44px
+        12: "3rem", // 48px
+        14: "3.5rem", // 56px
+        16: "4rem", // 64px
+        18: "4.5rem", // 72px
+        20: "5rem", // 80px
+        24: "6rem", // 96px
+        28: "7rem", // 112px
+        32: "8rem", // 128px
+        36: "9rem", // 144px
+        40: "10rem", // 160px
+        44: "11rem", // 176px
+        48: "12rem", // 192px
+        52: "13rem", // 208px
+        56: "14rem", // 224px
+        60: "15rem", // 240px
+        64: "16rem", // 256px
+        68: "17rem", // 272px
+        70: "17.5rem", // 280px
+        71: "17.75rem", // 284px
+        72: "18rem", // 288px
+        76: "19rem", // 304px
+        80: "20rem", // 320px
+        96: "24rem", // 384px
       },
       borderRadius: {
+        // Design system border radius tokens from Figma
+        xsmall: "0.25rem", // 4px
+        small: "0.5rem", // 8px
+        medium: "0.75rem", // 12px
+        large: "1rem", // 16px
+        xlarge: "1.25rem", // 20px
+        "2xlarge": "1.5rem", // 24px
+        full: "9999px", // For pill buttons
+
+        // Legacy values - kept for backward compatibility
         lg: "var(--radius)",
         md: "calc(var(--radius) - 2px)",
         sm: "calc(var(--radius) - 4px)",
-        // Add a full radius for pill-shaped buttons
-        full: "9999px",
+      },
+      boxShadow: {
+        subtle: "0px 1px 2px 0px rgba(0,0,0,0.05)",
       },
       keyframes: {
         "accordion-down": {
@@ -130,14 +142,22 @@ const config = {
           from: { height: "var(--radix-accordion-content-height)" },
           to: { height: "0" },
         },
+        "fade-in": {
+          "0%": { opacity: "0" }, // Start with opacity 0
+          "100%": { opacity: "1" }, // End with opacity 1
+        },
       },
       animation: {
         "accordion-down": "accordion-down 0.2s ease-out",
         "accordion-up": "accordion-up 0.2s ease-out",
+        "fade-in": "fade-in 0.2s ease-out",
+      },
+      transitionDuration: {
+        "2000": "2000ms",
       },
     },
   },
-  plugins: [require("tailwindcss-animate")],
+  plugins: [tailwindcssAnimate],
 } satisfies Config;
 
 export default config;
diff --git a/autogpt_platform/frontend/tsconfig.json b/autogpt_platform/frontend/tsconfig.json
index f4c6d13fd2de..e42687647026 100644
--- a/autogpt_platform/frontend/tsconfig.json
+++ b/autogpt_platform/frontend/tsconfig.json
@@ -1,22 +1,19 @@
 {
   "compilerOptions": {
-    "lib": ["dom", "dom.iterable", "esnext"],
-    "allowJs": true,
+    "lib": ["DOM", "DOM.Iterable", "ESNext"],
+    "allowJs": false,
     "skipLibCheck": true,
     "strict": true,
     "noEmit": true,
+    "target": "ES2022",
     "esModuleInterop": true,
-    "module": "esnext",
+    "module": "ESNext",
     "moduleResolution": "bundler",
     "resolveJsonModule": true,
     "isolatedModules": true,
     "jsx": "preserve",
     "incremental": true,
-    "plugins": [
-      {
-        "name": "next"
-      }
-    ],
+    "plugins": [{ "name": "next" }],
     "paths": {
       "@/*": ["./src/*"]
     }
diff --git a/autogpt_platform/frontend/webpack.config.js b/autogpt_platform/frontend/webpack.config.js
deleted file mode 100644
index 396dc1b540fd..000000000000
--- a/autogpt_platform/frontend/webpack.config.js
+++ /dev/null
@@ -1,7 +0,0 @@
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-    },
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-};
diff --git a/autogpt_platform/frontend/yarn.lock b/autogpt_platform/frontend/yarn.lock
deleted file mode 100644
index 94e55f00e8af..000000000000
--- a/autogpt_platform/frontend/yarn.lock
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-  resolved "https://registry.yarnpkg.com/schema-utils/-/schema-utils-4.3.0.tgz#3b669f04f71ff2dfb5aba7ce2d5a9d79b35622c0"
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-    ajv-formats "^2.1.1"
-    ajv-keywords "^5.1.0"
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-  version "6.3.1"
-  resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
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-  version "7.6.3"
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-  version "6.0.2"
-  resolved "https://registry.yarnpkg.com/serialize-javascript/-/serialize-javascript-6.0.2.tgz#defa1e055c83bf6d59ea805d8da862254eb6a6c2"
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-    randombytes "^2.1.0"
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-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/set-blocking/-/set-blocking-2.0.0.tgz#045f9782d011ae9a6803ddd382b24392b3d890f7"
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-  version "1.2.2"
-  resolved "https://registry.yarnpkg.com/set-function-length/-/set-function-length-1.2.2.tgz#aac72314198eaed975cf77b2c3b6b880695e5449"
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-    es-errors "^1.3.0"
-    function-bind "^1.1.2"
-    get-intrinsic "^1.2.4"
-    gopd "^1.0.1"
-    has-property-descriptors "^1.0.2"
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-  version "2.0.2"
-  resolved "https://registry.yarnpkg.com/set-function-name/-/set-function-name-2.0.2.tgz#16a705c5a0dc2f5e638ca96d8a8cd4e1c2b90985"
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-  version "1.0.5"
-  resolved "https://registry.yarnpkg.com/setimmediate/-/setimmediate-1.0.5.tgz#290cbb232e306942d7d7ea9b83732ab7856f8285"
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-  version "2.4.11"
-  resolved "https://registry.yarnpkg.com/sha.js/-/sha.js-2.4.11.tgz#37a5cf0b81ecbc6943de109ba2960d1b26584ae7"
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-  dependencies:
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-    safe-buffer "^5.0.1"
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-  version "0.33.5"
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-  dependencies:
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-    detect-libc "^2.0.3"
-    semver "^7.6.3"
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-    "@img/sharp-libvips-darwin-arm64" "1.0.4"
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-    "@img/sharp-libvips-linux-arm" "1.0.5"
-    "@img/sharp-libvips-linux-arm64" "1.0.4"
-    "@img/sharp-libvips-linux-s390x" "1.0.4"
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-    "@img/sharp-libvips-linuxmusl-arm64" "1.0.4"
-    "@img/sharp-libvips-linuxmusl-x64" "1.0.4"
-    "@img/sharp-linux-arm" "0.33.5"
-    "@img/sharp-linux-arm64" "0.33.5"
-    "@img/sharp-linux-s390x" "0.33.5"
-    "@img/sharp-linux-x64" "0.33.5"
-    "@img/sharp-linuxmusl-arm64" "0.33.5"
-    "@img/sharp-linuxmusl-x64" "0.33.5"
-    "@img/sharp-wasm32" "0.33.5"
-    "@img/sharp-win32-ia32" "0.33.5"
-    "@img/sharp-win32-x64" "0.33.5"
-
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-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/shebang-command/-/shebang-command-2.0.0.tgz#ccd0af4f8835fbdc265b82461aaf0c36663f34ea"
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-  dependencies:
-    shebang-regex "^3.0.0"
-
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-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/shebang-regex/-/shebang-regex-3.0.0.tgz#ae16f1644d873ecad843b0307b143362d4c42172"
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-
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-  version "1.8.2"
-  resolved "https://registry.yarnpkg.com/shell-quote/-/shell-quote-1.8.2.tgz#d2d83e057959d53ec261311e9e9b8f51dcb2934a"
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-
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-  version "14.3.0"
-  resolved "https://registry.yarnpkg.com/shepherd.js/-/shepherd.js-14.3.0.tgz#32acd1b59efcd6bc42da155bda9a4e36b7cfc97b"
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-    "@scarf/scarf" "^1.3.0"
-    deepmerge-ts "^7.1.1"
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-  version "1.2.1"
-  resolved "https://registry.yarnpkg.com/shimmer/-/shimmer-1.2.1.tgz#610859f7de327b587efebf501fb43117f9aff337"
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-  version "1.0.0"
-  resolved "https://registry.yarnpkg.com/side-channel-list/-/side-channel-list-1.0.0.tgz#10cb5984263115d3b7a0e336591e290a830af8ad"
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-    object-inspect "^1.13.3"
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-  version "1.0.1"
-  resolved "https://registry.yarnpkg.com/side-channel-map/-/side-channel-map-1.0.1.tgz#d6bb6b37902c6fef5174e5f533fab4c732a26f42"
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-    es-errors "^1.3.0"
-    get-intrinsic "^1.2.5"
-    object-inspect "^1.13.3"
-
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-  version "1.0.2"
-  resolved "https://registry.yarnpkg.com/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz#11dda19d5368e40ce9ec2bdc1fb0ecbc0790ecea"
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-    es-errors "^1.3.0"
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-    object-inspect "^1.13.3"
-    side-channel-map "^1.0.1"
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-side-channel@^1.0.4, side-channel@^1.0.6:
-  version "1.1.0"
-  resolved "https://registry.yarnpkg.com/side-channel/-/side-channel-1.1.0.tgz#c3fcff9c4da932784873335ec9765fa94ff66bc9"
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-    object-inspect "^1.13.3"
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-    side-channel-map "^1.0.1"
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-
-signal-exit@^3.0.2, signal-exit@^3.0.3, signal-exit@^3.0.7:
-  version "3.0.7"
-  resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.7.tgz#a9a1767f8af84155114eaabd73f99273c8f59ad9"
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-
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-  version "4.1.0"
-  resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
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-
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-  version "0.2.2"
-  resolved "https://registry.yarnpkg.com/simple-swizzle/-/simple-swizzle-0.2.2.tgz#a4da6b635ffcccca33f70d17cb92592de95e557a"
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-  version "1.0.5"
-  resolved "https://registry.yarnpkg.com/sisteransi/-/sisteransi-1.0.5.tgz#134d681297756437cc05ca01370d3a7a571075ed"
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-  version "3.0.0"
-  resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
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-  version "5.1.0"
-  resolved "https://registry.yarnpkg.com/slash/-/slash-5.1.0.tgz#be3adddcdf09ac38eebe8dcdc7b1a57a75b095ce"
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-  version "1.2.1"
-  resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.2.1.tgz#1ce5650fddd87abc099eda37dcff024c2667ae46"
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-  version "0.5.13"
-  resolved "https://registry.yarnpkg.com/source-map-support/-/source-map-support-0.5.13.tgz#31b24a9c2e73c2de85066c0feb7d44767ed52932"
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-    source-map "^0.6.0"
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-  version "0.5.21"
-  resolved "https://registry.yarnpkg.com/source-map-support/-/source-map-support-0.5.21.tgz#04fe7c7f9e1ed2d662233c28cb2b35b9f63f6e4f"
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-  version "0.6.1"
-  resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
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-  version "2.0.2"
-  resolved "https://registry.yarnpkg.com/space-separated-tokens/-/space-separated-tokens-2.0.2.tgz#1ecd9d2350a3844572c3f4a312bceb018348859f"
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-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/spawn-wrap/-/spawn-wrap-2.0.0.tgz#103685b8b8f9b79771318827aa78650a610d457e"
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-  integrity sha512-+0PALYNJNgK6hldkgDq2vLrw5f6g/jCInz52n9RTpropGgeAf/ioFUCdtsjCqu4gNhW9D01rUQBROoRjdzyn2Q==
-  dependencies:
-    use-sync-external-store "1.2.2"
-
-zwitch@^2.0.0:
-  version "2.0.4"
-  resolved "https://registry.yarnpkg.com/zwitch/-/zwitch-2.0.4.tgz#c827d4b0acb76fc3e685a4c6ec2902d51070e9d7"
-  integrity sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==
diff --git a/autogpt_platform/installer/setup-autogpt.bat b/autogpt_platform/installer/setup-autogpt.bat
new file mode 100644
index 000000000000..1db646d9148b
--- /dev/null
+++ b/autogpt_platform/installer/setup-autogpt.bat
@@ -0,0 +1,95 @@
+@echo off
+setlocal enabledelayedexpansion
+
+REM Variables
+set SCRIPT_DIR=%~dp0
+set REPO_DIR=%SCRIPT_DIR%..\..
+set CLONE_NEEDED=0
+set LOG_FILE=
+
+echo =============================
+echo   AutoGPT Windows Setup
+echo =============================
+echo.
+
+REM Check prerequisites
+echo Checking prerequisites...
+where git >nul 2>nul
+if errorlevel 1 (
+    echo Git is not installed. Please install it and try again.
+    pause
+    exit /b 1
+)
+echo Git is installed.
+
+where docker >nul 2>nul
+if errorlevel 1 (
+    echo Docker is not installed. Please install it and try again.
+    pause
+    exit /b 1
+)
+echo Docker is installed.
+echo.
+
+REM Detect repo
+if exist "%REPO_DIR%\.git" (
+    echo Using existing AutoGPT repository.
+    set CLONE_NEEDED=0
+) else (
+    set REPO_DIR=%SCRIPT_DIR%AutoGPT
+    set CLONE_NEEDED=1
+)
+
+REM Clone repo if needed
+if %CLONE_NEEDED%==1 (
+    echo Cloning AutoGPT repository...
+    git clone https://github.com/Significant-Gravitas/AutoGPT.git "%REPO_DIR%"
+    if errorlevel 1 (
+        echo Failed to clone repository.
+        pause
+        exit /b 1
+    )
+    echo Repository cloned successfully.
+)
+echo.
+
+REM Navigate to autogpt_platform
+cd /d "%REPO_DIR%\autogpt_platform"
+if errorlevel 1 (
+    echo Failed to navigate to autogpt_platform directory.
+    pause
+    exit /b 1
+)
+
+REM Create logs directory
+if not exist logs mkdir logs
+
+REM Run docker compose with logging
+echo Starting AutoGPT services with Docker Compose...
+echo This may take a few minutes on first run...
+echo.
+set LOG_FILE=%REPO_DIR%\autogpt_platform\logs\docker_setup.log
+docker compose up -d > "%LOG_FILE%" 2>&1
+if errorlevel 1 (
+    echo Docker compose failed. Check log file for details: %LOG_FILE%
+    echo.
+    echo Common issues:
+    echo - Docker is not running
+    echo - Insufficient disk space  
+    echo - Port conflicts (check if ports 3000, 8000, etc. are in use)
+    pause
+    exit /b 1
+)
+
+echo =============================
+echo      Setup Complete!
+echo =============================
+echo.
+echo Access AutoGPT at: http://localhost:3000
+echo API available at: http://localhost:8000
+echo.
+echo To stop services: docker compose down
+echo To view logs: docker compose logs -f
+echo.
+echo Press any key to exit (services will keep running)...
+pause >nul
\ No newline at end of file
diff --git a/autogpt_platform/installer/setup-autogpt.sh b/autogpt_platform/installer/setup-autogpt.sh
new file mode 100755
index 000000000000..f5bb238de86f
--- /dev/null
+++ b/autogpt_platform/installer/setup-autogpt.sh
@@ -0,0 +1,146 @@
+#!/bin/bash
+
+# ------------------------------------------------------------------------------
+# AutoGPT Setup Script
+# ------------------------------------------------------------------------------
+# This script automates the installation and setup of AutoGPT on Linux systems.
+# It checks prerequisites, clones the repository, and starts all services.
+# ------------------------------------------------------------------------------
+
+# --- Global Variables ---
+GREEN='\033[0;32m'
+BLUE='\033[0;34m'
+YELLOW='\033[1;33m'
+RED='\033[0;31m'
+NC='\033[0m'
+
+# Variables
+REPO_DIR=""
+CLONE_NEEDED=false
+DOCKER_CMD="docker"
+DOCKER_COMPOSE_CMD="docker compose"
+LOG_FILE=""
+
+print_color() {
+    printf "${!1}%s${NC}\n" "$2"
+}
+
+print_banner() {
+    print_color "BLUE" "
+       d8888          888             .d8888b.  8888888b. 88888888888 
+      d88888          888            d88P  Y88b 888   Y88b    888     
+     d88P888          888            888    888 888    888    888     
+    d88P 888 888  888 888888 .d88b.  888        888   d88P    888     
+   d88P  888 888  888 888   d88\"\"88b 888  88888 8888888P\"     888     
+  d88P   888 888  888 888   888  888 888    888 888           888     
+ d8888888888 Y88b 888 Y88b. Y88..88P Y88b  d88P 888           888     
+d88P     888  \"Y88888  \"Y888 \"Y88P\"   \"Y8888P88 888           888     
+"
+}
+
+handle_error() {
+    print_color "RED" "Error: $1"
+    if [ -n "$LOG_FILE" ] && [ -f "$LOG_FILE" ]; then
+        print_color "RED" "Check log file for details: $LOG_FILE"
+    fi
+    exit 1
+}
+
+check_prerequisites() {
+    print_color "BLUE" "Checking prerequisites..."
+    
+    if ! command -v git &> /dev/null; then
+        handle_error "Git is not installed. Please install it and try again."
+    else
+        print_color "GREEN" "✓ Git is installed"
+    fi
+    
+    if ! command -v docker &> /dev/null; then
+        handle_error "Docker is not installed. Please install it and try again."
+    else
+        print_color "GREEN" "✓ Docker is installed"
+    fi
+    
+    if ! docker info &> /dev/null; then
+        print_color "YELLOW" "Using sudo for Docker commands..."
+        DOCKER_CMD="sudo docker"
+        DOCKER_COMPOSE_CMD="sudo docker compose"
+    fi
+    
+    print_color "GREEN" "All prerequisites installed!"
+}
+
+detect_repo() {
+    if [[ "$PWD" == */autogpt_platform/installer ]]; then
+        if [[ -d "../../.git" ]]; then
+            REPO_DIR="$(cd ../..; pwd)"
+            cd ../.. || handle_error "Failed to navigate to repo root"
+            print_color "GREEN" "Using existing AutoGPT repository."
+        else
+            CLONE_NEEDED=true
+            REPO_DIR="$(pwd)/AutoGPT"
+        fi
+    elif [[ -d ".git" && -d "autogpt_platform/installer" ]]; then
+        REPO_DIR="$PWD"
+        print_color "GREEN" "Using existing AutoGPT repository."
+    else
+        CLONE_NEEDED=true
+        REPO_DIR="$(pwd)/AutoGPT"
+    fi
+}
+
+clone_repo() {
+    if [ "$CLONE_NEEDED" = true ]; then
+        print_color "BLUE" "Cloning AutoGPT repository..."
+        git clone https://github.com/Significant-Gravitas/AutoGPT.git "$REPO_DIR" || handle_error "Failed to clone repository"
+        print_color "GREEN" "Repository cloned successfully."
+    fi
+}
+
+run_docker() {
+    cd "$REPO_DIR/autogpt_platform" || handle_error "Failed to navigate to autogpt_platform"
+    
+    print_color "BLUE" "Starting AutoGPT services with Docker Compose..."
+    print_color "YELLOW" "This may take a few minutes on first run..."
+    echo
+    
+    mkdir -p logs
+    LOG_FILE="$REPO_DIR/autogpt_platform/logs/docker_setup.log"
+    
+    if $DOCKER_COMPOSE_CMD up -d > "$LOG_FILE" 2>&1; then
+        print_color "GREEN" "✓ Services started successfully!"
+    else
+        print_color "RED" "Docker compose failed. Check log file for details: $LOG_FILE"
+        print_color "YELLOW" "Common issues:"
+        print_color "YELLOW" "- Docker is not running"
+        print_color "YELLOW" "- Insufficient disk space"
+        print_color "YELLOW" "- Port conflicts (check if ports 3000, 8000, etc. are in use)"
+        exit 1
+    fi
+}
+
+main() {
+    print_banner
+    print_color "GREEN" "AutoGPT Setup Script"
+    print_color "GREEN" "-------------------"
+    
+    check_prerequisites
+    detect_repo
+    clone_repo
+    run_docker
+    
+    echo
+    print_color "GREEN" "============================="
+    print_color "GREEN" "     Setup Complete!"
+    print_color "GREEN" "============================="
+    echo
+    print_color "BLUE" "🚀 Access AutoGPT at: http://localhost:3000"
+    print_color "BLUE" "📡 API available at: http://localhost:8000"
+    echo
+    print_color "YELLOW" "To stop services: docker compose down"
+    print_color "YELLOW" "To view logs: docker compose logs -f"
+    echo
+    print_color "YELLOW" "All commands should be run in: $REPO_DIR/autogpt_platform"
+}
+
+main
\ No newline at end of file
diff --git a/autogpt_platform/market/.env.example b/autogpt_platform/market/.env.example
deleted file mode 100644
index b3b1cb8a4e86..000000000000
--- a/autogpt_platform/market/.env.example
+++ /dev/null
@@ -1,12 +0,0 @@
-DB_USER=postgres
-DB_PASS=your-super-secret-and-long-postgres-password
-DB_NAME=postgres
-DB_PORT=5432
-DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@localhost:${DB_PORT}/${DB_NAME}?connect_timeout=60&schema=market"
-SENTRY_DSN=https://11d0640fef35640e0eb9f022eb7d7626@o4505260022104064.ingest.us.sentry.io/4507890252447744
-
-ENABLE_AUTH=true
-SUPABASE_JWT_SECRET=our-super-secret-jwt-token-with-at-least-32-characters-long
-BACKEND_CORS_ALLOW_ORIGINS="http://localhost:3000,http://127.0.0.1:3000"
-
-APP_ENV=local
diff --git a/autogpt_platform/market/.gitignore b/autogpt_platform/market/.gitignore
deleted file mode 100644
index 7fd0341ba08e..000000000000
--- a/autogpt_platform/market/.gitignore
+++ /dev/null
@@ -1,6 +0,0 @@
-database.db
-database.db-journal
-build/
-config.json
-secrets/*
-!secrets/.gitkeep
\ No newline at end of file
diff --git a/autogpt_platform/market/Dockerfile b/autogpt_platform/market/Dockerfile
deleted file mode 100644
index dbd12565db3c..000000000000
--- a/autogpt_platform/market/Dockerfile
+++ /dev/null
@@ -1,72 +0,0 @@
-FROM python:3.11.10-slim-bookworm AS builder
-
-# Set environment variables
-ENV PYTHONDONTWRITEBYTECODE 1
-ENV PYTHONUNBUFFERED 1
-
-WORKDIR /app
-
-RUN echo 'Acquire::http::Pipeline-Depth 0;\nAcquire::http::No-Cache true;\nAcquire::BrokenProxy true;\n' > /etc/apt/apt.conf.d/99fixbadproxy
-
-RUN apt-get update --allow-releaseinfo-change --fix-missing
-
-# Install build dependencies
-RUN apt-get install -y build-essential 
-RUN apt-get install -y libpq5
-RUN apt-get install -y libz-dev
-RUN apt-get install -y libssl-dev
-
-ENV POETRY_VERSION=1.8.3 \
-    POETRY_HOME="/opt/poetry" \
-    POETRY_NO_INTERACTION=1 \
-    POETRY_VIRTUALENVS_CREATE=false
-ENV PATH="$POETRY_HOME/bin:$PATH"
-
-# Upgrade pip and setuptools to fix security vulnerabilities
-RUN pip3 install --upgrade pip setuptools
-
-RUN pip3 install poetry
-
-# Copy and install dependencies
-COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
-COPY autogpt_platform/market/poetry.lock autogpt_platform/market/pyproject.toml /app/autogpt_platform/market/
-WORKDIR /app/autogpt_platform/market
-RUN poetry config virtualenvs.create false \
-    && poetry install --no-interaction --no-ansi
-
-# Generate Prisma client
-COPY autogpt_platform/market /app/autogpt_platform/market
-RUN poetry config virtualenvs.create false \
-    && poetry run prisma generate
-
-FROM python:3.11.10-slim-bookworm AS server_dependencies
-
-WORKDIR /app
-
-# Upgrade pip and setuptools to fix security vulnerabilities
-RUN pip3 install --upgrade pip setuptools
-
-# Copy only necessary files from builder
-COPY --from=builder /app /app
-COPY --from=builder /usr/local/lib/python3.11 /usr/local/lib/python3.11
-COPY --from=builder /usr/local/bin /usr/local/bin
-# Copy Prisma binaries
-COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
-
-ENV PATH="/app/.venv/bin:$PATH"
-
-RUN mkdir -p /app/autogpt_platform/autogpt_libs
-RUN mkdir -p /app/autogpt_platform/market
-
-COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
-
-COPY autogpt_platform/market /app/autogpt_platform/market
-
-WORKDIR /app/autogpt_platform/market
-
-FROM server_dependencies AS server
-
-ENV DATABASE_URL=""
-ENV PORT=8015
-
-CMD ["poetry", "run", "app"]
diff --git a/autogpt_platform/market/README.md b/autogpt_platform/market/README.md
deleted file mode 100644
index a799f362ba0f..000000000000
--- a/autogpt_platform/market/README.md
+++ /dev/null
@@ -1,37 +0,0 @@
-# AutoGPT Agent Marketplace
-
-## Overview
-
-AutoGPT Agent Marketplace is an open-source platform for autonomous AI agents. This project aims to create a user-friendly, accessible marketplace where users can discover, utilize, and contribute to a diverse ecosystem of AI solutions.
-
-## Vision
-
-Our vision is to empower users with customizable and free AI agents, fostering an open-source community that drives innovation in AI automation across various industries.
-
-## Key Features
-
-- Agent Discovery and Search
-- Agent Listings with Detailed Information
-- User Profiles
-- Data Protection and Compliance
-
-## Getting Started
-
-To get started with the AutoGPT Agent Marketplace, follow these steps:
-
-- Copy `.env.example` to `.env` and fill in the required environment variables
-- Run `poetry run setup`
-- Run `poetry run populate`
-- Run `poetry run app`
-
-## Poetry Run Commands
-
-This section outlines the available command line scripts for this project, configured using Poetry. You can execute these scripts directly using Poetry. Each command performs a specific operation as described below:
-
-- `poetry run format`: Runs the formatting script to ensure code consistency.
-- `poetry run lint`: Executes the linting script to identify and fix potential code issues.
-- `poetry run app`: Starts the main application.
-- `poetry run setup`: Runs the setup script to configure the database.
-- `poetry run populate`: Populates the database with initial data using the specified script.
-
-To run any of these commands, ensure Poetry is installed on your system and execute the commands from the project's root directory.
diff --git a/autogpt_platform/market/docker-compose.yml b/autogpt_platform/market/docker-compose.yml
deleted file mode 100644
index 3eaa4089277d..000000000000
--- a/autogpt_platform/market/docker-compose.yml
+++ /dev/null
@@ -1,16 +0,0 @@
-version: "3"
-services:
-  postgres:
-    image: ankane/pgvector:latest
-    environment:
-      POSTGRES_USER: ${DB_USER}
-      POSTGRES_PASSWORD: ${DB_PASS}
-      POSTGRES_DB: ${DB_NAME}
-      PGUSER: ${DB_USER}
-    healthcheck:
-      test: pg_isready -U $$POSTGRES_USER -d $$POSTGRES_DB
-      interval: 10s
-      timeout: 5s
-      retries: 5
-    ports:
-      - "${DB_PORT}:5432"
diff --git a/autogpt_platform/market/market/app.py b/autogpt_platform/market/market/app.py
deleted file mode 100644
index 63736acd31e1..000000000000
--- a/autogpt_platform/market/market/app.py
+++ /dev/null
@@ -1,97 +0,0 @@
-import contextlib
-import logging.config
-import os
-
-import dotenv
-import fastapi
-import fastapi.middleware.cors
-import fastapi.middleware.gzip
-import prisma
-import prometheus_fastapi_instrumentator
-import sentry_sdk
-import sentry_sdk.integrations.asyncio
-import sentry_sdk.integrations.fastapi
-import sentry_sdk.integrations.starlette
-
-import market.config
-import market.routes.admin
-import market.routes.agents
-import market.routes.analytics
-import market.routes.search
-import market.routes.submissions
-
-dotenv.load_dotenv()
-
-logging.config.dictConfig(market.config.LogConfig().model_dump())
-
-if os.environ.get("SENTRY_DSN"):
-    sentry_sdk.init(
-        dsn=os.environ.get("SENTRY_DSN"),
-        traces_sample_rate=1.0,
-        profiles_sample_rate=1.0,
-        enable_tracing=True,
-        environment=os.environ.get("RUN_ENV", default="CLOUD").lower(),
-        integrations=[
-            sentry_sdk.integrations.starlette.StarletteIntegration(
-                transaction_style="url"
-            ),
-            sentry_sdk.integrations.fastapi.FastApiIntegration(transaction_style="url"),
-            sentry_sdk.integrations.asyncio.AsyncioIntegration(),
-        ],
-    )
-
-db_client = prisma.Prisma(auto_register=True)
-
-
-@contextlib.asynccontextmanager
-async def lifespan(app: fastapi.FastAPI):
-    await db_client.connect()
-    yield
-    await db_client.disconnect()
-
-
-docs_url = "/docs"
-app = fastapi.FastAPI(
-    title="Marketplace API",
-    description="AutoGPT Marketplace API is a service that allows users to share AI agents.",
-    summary="Maketplace API",
-    version="0.1",
-    lifespan=lifespan,
-    root_path="/api/v1/market",
-    docs_url=docs_url,
-)
-
-app.add_middleware(fastapi.middleware.gzip.GZipMiddleware, minimum_size=1000)
-app.add_middleware(
-    middleware_class=fastapi.middleware.cors.CORSMiddleware,
-    allow_origins=os.environ.get(
-        "BACKEND_CORS_ALLOW_ORIGINS", "http://localhost:3000,http://127.0.0.1:3000"
-    ).split(","),
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-app.include_router(market.routes.agents.router, tags=["agents"])
-app.include_router(market.routes.search.router, tags=["search"])
-app.include_router(market.routes.submissions.router, tags=["submissions"])
-app.include_router(market.routes.admin.router, prefix="/admin", tags=["admin"])
-app.include_router(
-    market.routes.analytics.router, prefix="/analytics", tags=["analytics"]
-)
-
-
-@app.get("/health")
-def health():
-    return fastapi.responses.HTMLResponse(
-        content="<h1>Marketplace API</h1>", status_code=200
-    )
-
-
-@app.get("/")
-def default():
-    return fastapi.responses.HTMLResponse(
-        content="<h1>Marketplace API</h1>", status_code=200
-    )
-
-
-prometheus_fastapi_instrumentator.Instrumentator().instrument(app).expose(app)
diff --git a/autogpt_platform/market/market/config.py b/autogpt_platform/market/market/config.py
deleted file mode 100644
index 46a31b462a90..000000000000
--- a/autogpt_platform/market/market/config.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from pydantic import BaseModel
-
-
-class LogConfig(BaseModel):
-    """Logging configuration to be set for the server"""
-
-    LOGGER_NAME: str = "marketplace"
-    LOG_FORMAT: str = "%(levelprefix)s | %(asctime)s | %(message)s"
-    LOG_LEVEL: str = "DEBUG"
-
-    # Logging config
-    version: int = 1
-    disable_existing_loggers: bool = False
-    formatters: dict = {
-        "default": {
-            "()": "uvicorn.logging.DefaultFormatter",
-            "fmt": LOG_FORMAT,
-            "datefmt": "%Y-%m-%d %H:%M:%S",
-        },
-    }
-    handlers: dict = {
-        "default": {
-            "formatter": "default",
-            "class": "logging.StreamHandler",
-            "stream": "ext://sys.stderr",
-        },
-    }
-    loggers: dict = {
-        LOGGER_NAME: {"handlers": ["default"], "level": LOG_LEVEL},
-    }
diff --git a/autogpt_platform/market/market/db.py b/autogpt_platform/market/market/db.py
deleted file mode 100644
index 6b4418bd8f78..000000000000
--- a/autogpt_platform/market/market/db.py
+++ /dev/null
@@ -1,725 +0,0 @@
-import datetime
-import typing
-
-import fuzzywuzzy.fuzz
-import prisma.enums
-import prisma.errors
-import prisma.models
-import prisma.types
-import pydantic
-
-import market.model
-import market.utils.extension_types
-
-
-class AgentQueryError(Exception):
-    """Custom exception for agent query errors"""
-
-    pass
-
-
-class TopAgentsDBResponse(pydantic.BaseModel):
-    """
-    Represents a response containing a list of top agents.
-
-    Attributes:
-        analytics (list[AgentResponse]): The list of top agents.
-        total_count (int): The total count of agents.
-        page (int): The current page number.
-        page_size (int): The number of agents per page.
-        total_pages (int): The total number of pages.
-    """
-
-    analytics: list[prisma.models.AnalyticsTracker]
-    total_count: int
-    page: int
-    page_size: int
-    total_pages: int
-
-
-class FeaturedAgentResponse(pydantic.BaseModel):
-    """
-    Represents a response containing a list of featured agents.
-
-    Attributes:
-        featured_agents (list[FeaturedAgent]): The list of featured agents.
-        total_count (int): The total count of featured agents.
-        page (int): The current page number.
-        page_size (int): The number of agents per page.
-        total_pages (int): The total number of pages.
-    """
-
-    featured_agents: list[prisma.models.FeaturedAgent]
-    total_count: int
-    page: int
-    page_size: int
-    total_pages: int
-
-
-async def delete_agent(agent_id: str) -> prisma.models.Agents | None:
-    """
-    Delete an agent from the database.
-
-    Args:
-        agent_id (str): The ID of the agent to delete.
-
-    Returns:
-        prisma.models.Agents | None: The deleted agent if found, None otherwise.
-
-    Raises:
-        AgentQueryError: If there is an error deleting the agent from the database.
-    """
-    try:
-        deleted_agent = await prisma.models.Agents.prisma().delete(
-            where={"id": agent_id}
-        )
-        return deleted_agent
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def create_agent_entry(
-    name: str,
-    description: str,
-    author: str,
-    keywords: typing.List[str],
-    categories: typing.List[str],
-    graph: prisma.Json,
-    submission_state: prisma.enums.SubmissionStatus = prisma.enums.SubmissionStatus.PENDING,
-):
-    """
-    Create a new agent entry in the database.
-
-    Args:
-        name (str): The name of the agent.
-        description (str): The description of the agent.
-        author (str): The author of the agent.
-        keywords (List[str]): The keywords associated with the agent.
-        categories (List[str]): The categories associated with the agent.
-        graph (dict): The graph data of the agent.
-
-    Returns:
-        dict: The newly created agent entry.
-
-    Raises:
-        AgentQueryError: If there is an error creating the agent entry.
-    """
-    try:
-        agent = await prisma.models.Agents.prisma().create(
-            data={
-                "name": name,
-                "description": description,
-                "author": author,
-                "keywords": keywords,
-                "categories": categories,
-                "graph": graph,
-                "AnalyticsTracker": {"create": {"downloads": 0, "views": 0}},
-                "submissionStatus": submission_state,
-            }
-        )
-
-        return agent
-
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def update_agent_entry(
-    agent_id: str,
-    version: int,
-    submission_state: prisma.enums.SubmissionStatus,
-    comments: str | None = None,
-) -> prisma.models.Agents | None:
-    """
-    Update an existing agent entry in the database.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        version (int): The version of the agent.
-        submission_state (prisma.enums.SubmissionStatus): The submission state of the agent.
-    """
-
-    try:
-        agent = await prisma.models.Agents.prisma().update(
-            where={"id": agent_id},
-            data={
-                "version": version,
-                "submissionStatus": submission_state,
-                "submissionReviewDate": datetime.datetime.now(datetime.timezone.utc),
-                "submissionReviewComments": comments,
-            },
-        )
-
-        return agent
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Agent Update Failed Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_agents(
-    page: int = 1,
-    page_size: int = 10,
-    name: str | None = None,
-    keyword: str | None = None,
-    category: str | None = None,
-    description: str | None = None,
-    description_threshold: int = 60,
-    submission_status: prisma.enums.SubmissionStatus = prisma.enums.SubmissionStatus.APPROVED,
-    sort_by: str = "createdAt",
-    sort_order: typing.Literal["desc"] | typing.Literal["asc"] = "desc",
-):
-    """
-    Retrieve a list of agents from the database based on the provided filters and pagination parameters.
-
-    Args:
-        page (int, optional): The page number to retrieve. Defaults to 1.
-        page_size (int, optional): The number of agents per page. Defaults to 10.
-        name (str, optional): Filter agents by name. Defaults to None.
-        keyword (str, optional): Filter agents by keyword. Defaults to None.
-        category (str, optional): Filter agents by category. Defaults to None.
-        description (str, optional): Filter agents by description. Defaults to None.
-        description_threshold (int, optional): The minimum fuzzy search threshold for the description. Defaults to 60.
-        sort_by (str, optional): The field to sort the agents by. Defaults to "createdAt".
-        sort_order (str, optional): The sort order ("asc" or "desc"). Defaults to "desc".
-
-    Returns:
-        dict: A dictionary containing the list of agents, total count, current page number, page size, and total number of pages.
-    """
-    try:
-        # Define the base query
-        query = {}
-
-        # Add optional filters
-        if name:
-            query["name"] = {"contains": name, "mode": "insensitive"}
-        if keyword:
-            query["keywords"] = {"has": keyword}
-        if category:
-            query["categories"] = {"has": category}
-
-        query["submissionStatus"] = submission_status
-
-        # Define sorting
-        order = {sort_by: sort_order}
-
-        # Calculate pagination
-        skip = (page - 1) * page_size
-
-        # Execute the query
-        try:
-            agents = await prisma.models.Agents.prisma().find_many(
-                where=query,  # type: ignore
-                order=order,  # type: ignore
-                skip=skip,
-                take=page_size,
-            )
-        except prisma.errors.PrismaError as e:
-            raise AgentQueryError(f"Database query failed: {str(e)}")
-
-        # Apply fuzzy search on description if provided
-        if description:
-            try:
-                filtered_agents = []
-                for agent in agents:
-                    if (
-                        agent.description
-                        and fuzzywuzzy.fuzz.partial_ratio(
-                            description.lower(), agent.description.lower()
-                        )
-                        >= description_threshold
-                    ):
-                        filtered_agents.append(agent)
-                agents = filtered_agents
-            except AttributeError as e:
-                raise AgentQueryError(f"Error during fuzzy search: {str(e)}")
-
-        # Get total count for pagination info
-        total_count = len(agents)
-
-        return {
-            "agents": agents,
-            "total_count": total_count,
-            "page": page,
-            "page_size": page_size,
-            "total_pages": (total_count + page_size - 1) // page_size,
-        }
-
-    except AgentQueryError as e:
-        # Log the error or handle it as needed
-        raise e
-    except ValueError as e:
-        raise AgentQueryError(f"Invalid input parameter: {str(e)}")
-    except Exception as e:
-        # Catch any other unexpected exceptions
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_agent_details(agent_id: str, version: int | None = None):
-    """
-    Retrieve agent details from the database.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        version (int | None, optional): The version of the agent. Defaults to None.
-
-    Returns:
-        dict: The agent details.
-
-    Raises:
-        AgentQueryError: If the agent is not found or if there is an error querying the database.
-    """
-    try:
-        query = {"id": agent_id}
-        if version is not None:
-            query["version"] = version  # type: ignore
-
-        agent = await prisma.models.Agents.prisma().find_first(where=query)  # type: ignore
-
-        if not agent:
-            raise AgentQueryError("Agent not found")
-
-        return agent
-
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def search_db(
-    query: str,
-    page: int = 1,
-    page_size: int = 10,
-    categories: typing.List[str] | None = None,
-    description_threshold: int = 60,
-    sort_by: str = "rank",
-    sort_order: typing.Literal["desc"] | typing.Literal["asc"] = "desc",
-    submission_status: prisma.enums.SubmissionStatus = prisma.enums.SubmissionStatus.APPROVED,
-) -> market.model.ListResponse[market.utils.extension_types.AgentsWithRank]:
-    """Perform a search for agents based on the provided query string.
-
-    Args:
-        query (str): the search string
-        page (int, optional): page for searching. Defaults to 1.
-        page_size (int, optional): the number of results to return. Defaults to 10.
-        categories (List[str] | None, optional): list of category filters. Defaults to None.
-        description_threshold (int, optional): number of characters to return. Defaults to 60.
-        sort_by (str, optional): sort by option. Defaults to "rank".
-        sort_order ("asc" | "desc", optional): the sort order. Defaults to "desc".
-
-    Raises:
-        AgentQueryError: Raises an error if the query fails.
-        AgentQueryError: Raises if an unexpected error occurs.
-
-    Returns:
-        List[AgentsWithRank]: List of agents matching the search criteria.
-    """
-    try:
-        offset = (page - 1) * page_size
-
-        category_filter = "1=1"
-        if categories:
-            category_conditions = [f"'{cat}' = ANY(categories)" for cat in categories]
-            category_filter = "AND (" + " OR ".join(category_conditions) + ")"
-
-        # Construct the ORDER BY clause based on the sort_by parameter
-        if sort_by in ["createdAt", "updatedAt"]:
-            order_by_clause = f'"{sort_by}" {sort_order.upper()}, rank DESC'
-        elif sort_by == "name":
-            order_by_clause = f"name {sort_order.upper()}, rank DESC"
-        else:
-            order_by_clause = 'rank DESC, "createdAt" DESC'
-
-        submission_status_filter = f""""submissionStatus" = '{submission_status}'"""
-
-        sql_query = f"""
-        WITH query AS (
-            SELECT to_tsquery(string_agg(lexeme || ':*', ' & ' ORDER BY positions)) AS q 
-            FROM unnest(to_tsvector('{query}'))
-        )
-        SELECT 
-            id, 
-            "createdAt", 
-            "updatedAt", 
-            version, 
-            name, 
-            LEFT(description, {description_threshold}) AS description, 
-            author, 
-            keywords, 
-            categories, 
-            graph,
-            "submissionStatus",
-            "submissionDate",
-            CASE 
-                WHEN query.q::text = '' THEN 1.0
-                ELSE COALESCE(ts_rank(CAST(search AS tsvector), query.q), 0.0)
-            END AS rank
-        FROM market."Agents", query
-        WHERE 
-            (query.q::text = '' OR search @@ query.q)
-            AND {category_filter} 
-            AND {submission_status_filter}
-        ORDER BY {order_by_clause}
-        LIMIT {page_size}
-        OFFSET {offset};
-        """
-
-        results = await prisma.client.get_client().query_raw(
-            query=sql_query,
-            model=market.utils.extension_types.AgentsWithRank,
-        )
-
-        class CountResponse(pydantic.BaseModel):
-            count: int
-
-        count_query = f"""
-        WITH query AS (
-            SELECT to_tsquery(string_agg(lexeme || ':*', ' & ' ORDER BY positions)) AS q 
-            FROM unnest(to_tsvector('{query}'))
-        )
-        SELECT COUNT(*)
-        FROM market."Agents", query
-        WHERE (search @@ query.q OR query.q = '') AND {category_filter} AND {submission_status_filter};
-        """
-
-        total_count = await prisma.client.get_client().query_first(
-            query=count_query,
-            model=CountResponse,
-        )
-        total_count = total_count.count if total_count else 0
-
-        return market.model.ListResponse(
-            items=results,
-            total_count=total_count,
-            page=page,
-            page_size=page_size,
-            total_pages=(total_count + page_size - 1) // page_size,
-        )
-
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_top_agents_by_downloads(
-    page: int = 1,
-    page_size: int = 10,
-    submission_status: prisma.enums.SubmissionStatus = prisma.enums.SubmissionStatus.APPROVED,
-) -> market.model.ListResponse[prisma.models.AnalyticsTracker]:
-    """Retrieve the top agents by download count.
-
-    Args:
-        page (int, optional): The page number. Defaults to 1.
-        page_size (int, optional): The number of agents per page. Defaults to 10.
-
-    Returns:
-        dict: A dictionary containing the list of agents, total count, current page number, page size, and total number of pages.
-    """
-    try:
-        # Calculate pagination
-        skip = (page - 1) * page_size
-
-        # Execute the query
-        try:
-            # Agents with no downloads will not be included in the results... is this the desired behavior?
-            analytics = await prisma.models.AnalyticsTracker.prisma().find_many(
-                include={"agent": True},
-                order={"downloads": "desc"},
-                where={"agent": {"is": {"submissionStatus": submission_status}}},
-                skip=skip,
-                take=page_size,
-            )
-        except prisma.errors.PrismaError as e:
-            raise AgentQueryError(f"Database query failed: {str(e)}")
-
-        try:
-            total_count = await prisma.models.AnalyticsTracker.prisma().count(
-                where={"agent": {"is": {"submissionStatus": submission_status}}},
-            )
-        except prisma.errors.PrismaError as e:
-            raise AgentQueryError(f"Database query failed: {str(e)}")
-
-        return market.model.ListResponse(
-            items=analytics,
-            total_count=total_count,
-            page=page,
-            page_size=page_size,
-            total_pages=(total_count + page_size - 1) // page_size,
-        )
-
-    except AgentQueryError as e:
-        # Log the error or handle it as needed
-        raise e from e
-    except ValueError as e:
-        raise AgentQueryError(f"Invalid input parameter: {str(e)}") from e
-    except Exception as e:
-        # Catch any other unexpected exceptions
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}") from e
-
-
-async def set_agent_featured(
-    agent_id: str, is_active: bool = True, featured_categories: list[str] = ["featured"]
-) -> prisma.models.FeaturedAgent:
-    """Set an agent as featured in the database.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        category (str, optional): The category to set the agent as featured. Defaults to "featured".
-
-    Raises:
-        AgentQueryError: If there is an error setting the agent as featured.
-    """
-    try:
-        agent = await prisma.models.Agents.prisma().find_unique(where={"id": agent_id})
-        if not agent:
-            raise AgentQueryError(f"Agent with ID {agent_id} not found.")
-
-        featured = await prisma.models.FeaturedAgent.prisma().upsert(
-            where={"agentId": agent_id},
-            data={
-                "update": {
-                    "featuredCategories": featured_categories,
-                    "isActive": is_active,
-                },
-                "create": {
-                    "featuredCategories": featured_categories,
-                    "isActive": is_active,
-                    "agent": {"connect": {"id": agent_id}},
-                },
-            },
-        )
-        return featured
-
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_featured_agents(
-    category: str = "featured",
-    page: int = 1,
-    page_size: int = 10,
-    submission_status: prisma.enums.SubmissionStatus = prisma.enums.SubmissionStatus.APPROVED,
-) -> FeaturedAgentResponse:
-    """Retrieve a list of featured agents from the database based on the provided category.
-
-    Args:
-        category (str, optional): The category of featured agents to retrieve. Defaults to "featured".
-        page (int, optional): The page number to retrieve. Defaults to 1.
-        page_size (int, optional): The number of agents per page. Defaults to 10.
-
-    Returns:
-        dict: A dictionary containing the list of featured agents, total count, current page number, page size, and total number of pages.
-    """
-    try:
-        # Calculate pagination
-        skip = (page - 1) * page_size
-
-        # Execute the query
-        try:
-            featured_agents = await prisma.models.FeaturedAgent.prisma().find_many(
-                where={
-                    "featuredCategories": {"has": category},
-                    "isActive": True,
-                    "agent": {"is": {"submissionStatus": submission_status}},
-                },
-                include={"agent": {"include": {"AnalyticsTracker": True}}},
-                skip=skip,
-                take=page_size,
-            )
-        except prisma.errors.PrismaError as e:
-            raise AgentQueryError(f"Database query failed: {str(e)}")
-
-        # Get total count for pagination info
-        total_count = len(featured_agents)
-
-        return FeaturedAgentResponse(
-            featured_agents=featured_agents,
-            total_count=total_count,
-            page=page,
-            page_size=page_size,
-            total_pages=(total_count + page_size - 1) // page_size,
-        )
-
-    except AgentQueryError as e:
-        # Log the error or handle it as needed
-        raise e from e
-    except ValueError as e:
-        raise AgentQueryError(f"Invalid input parameter: {str(e)}") from e
-    except Exception as e:
-        # Catch any other unexpected exceptions
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}") from e
-
-
-async def remove_featured_category(
-    agent_id: str, category: str
-) -> prisma.models.FeaturedAgent | None:
-    """Adds a featured category to an agent.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        category (str): The category to add to the agent.
-
-    Returns:
-        FeaturedAgentResponse: The updated list of featured agents.
-    """
-    try:
-        # get the existing categories
-        featured_agent = await prisma.models.FeaturedAgent.prisma().find_unique(
-            where={"agentId": agent_id},
-            include={"agent": True},
-        )
-
-        if not featured_agent:
-            raise AgentQueryError(f"Agent with ID {agent_id} not found.")
-
-        # remove the category from the list
-        featured_agent.featuredCategories.remove(category)
-
-        featured_agent = await prisma.models.FeaturedAgent.prisma().update(
-            where={"agentId": agent_id},
-            data={"featuredCategories": featured_agent.featuredCategories},
-        )
-
-        return featured_agent
-
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def add_featured_category(
-    agent_id: str, category: str
-) -> prisma.models.FeaturedAgent | None:
-    """Removes a featured category from an agent.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        category (str): The category to remove from the agent.
-
-    Returns:
-        FeaturedAgentResponse: The updated list of featured agents.
-    """
-    try:
-        featured_agent = await prisma.models.FeaturedAgent.prisma().update(
-            where={"agentId": agent_id},
-            data={"featuredCategories": {"push": [category]}},
-        )
-
-        return featured_agent
-
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_agent_featured(agent_id: str) -> prisma.models.FeaturedAgent | None:
-    """Retrieve an agent's featured categories from the database.
-
-    Args:
-        agent_id (str): The ID of the agent.
-
-    Returns:
-        FeaturedAgentResponse: The list of featured agents.
-    """
-    try:
-        featured_agent = await prisma.models.FeaturedAgent.prisma().find_unique(
-            where={"agentId": agent_id},
-        )
-        return featured_agent
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_not_featured_agents(
-    page: int = 1, page_size: int = 10
-) -> typing.List[prisma.models.Agents]:
-    """
-    Retrieve a list of not featured agents from the database.
-    """
-    try:
-        agents = await prisma.client.get_client().query_raw(
-            query=f"""
-            SELECT 
-                "market"."Agents".id, 
-                "market"."Agents"."createdAt", 
-                "market"."Agents"."updatedAt", 
-                "market"."Agents".version, 
-                "market"."Agents".name, 
-                LEFT("market"."Agents".description, 500) AS description, 
-                "market"."Agents".author, 
-                "market"."Agents".keywords, 
-                "market"."Agents".categories, 
-                "market"."Agents".graph,
-                "market"."Agents"."submissionStatus",
-                "market"."Agents"."submissionDate",
-                "market"."Agents".search::text AS search
-            FROM "market"."Agents"
-            LEFT JOIN "market"."FeaturedAgent" ON "market"."Agents"."id" = "market"."FeaturedAgent"."agentId"
-            WHERE ("market"."FeaturedAgent"."agentId" IS NULL OR "market"."FeaturedAgent"."featuredCategories" = '{{}}')
-                AND "market"."Agents"."submissionStatus" = 'APPROVED'
-            ORDER BY "market"."Agents"."createdAt" DESC
-            LIMIT {page_size} OFFSET {page_size * (page - 1)}
-            """,
-            model=prisma.models.Agents,
-        )
-        return agents
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
-
-
-async def get_all_categories() -> market.model.CategoriesResponse:
-    """
-    Retrieve all unique categories from the database.
-
-    Returns:
-        CategoriesResponse: A list of unique categories.
-    """
-    try:
-        agents = await prisma.models.Agents.prisma().find_many(distinct=["categories"])
-
-        # Aggregate categories on the Python side
-        all_categories = set()
-        for agent in agents:
-            all_categories.update(agent.categories)
-
-        unique_categories = sorted(list(all_categories))
-
-        return market.model.CategoriesResponse(unique_categories=unique_categories)
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception:
-        # Return an empty list of categories in case of unexpected errors
-        return market.model.CategoriesResponse(unique_categories=[])
-
-
-async def create_agent_installed_event(
-    event_data: market.model.AgentInstalledFromMarketplaceEventData,
-):
-    try:
-        await prisma.models.InstallTracker.prisma().create(
-            data={
-                "installedAgentId": event_data.installed_agent_id,
-                "marketplaceAgentId": event_data.marketplace_agent_id,
-                "installationLocation": prisma.enums.InstallationLocation(
-                    event_data.installation_location.name
-                ),
-            }
-        )
-    except prisma.errors.PrismaError as e:
-        raise AgentQueryError(f"Database query failed: {str(e)}")
-    except Exception as e:
-        raise AgentQueryError(f"Unexpected error occurred: {str(e)}")
diff --git a/autogpt_platform/market/market/model.py b/autogpt_platform/market/market/model.py
deleted file mode 100644
index 14bd017a1158..000000000000
--- a/autogpt_platform/market/market/model.py
+++ /dev/null
@@ -1,161 +0,0 @@
-import datetime
-import typing
-from enum import Enum
-from typing import Generic, Literal, TypeVar, Union
-
-import prisma.enums
-import pydantic
-
-
-class InstallationLocation(str, Enum):
-    LOCAL = "local"
-    CLOUD = "cloud"
-
-
-class AgentInstalledFromMarketplaceEventData(pydantic.BaseModel):
-    marketplace_agent_id: str
-    installed_agent_id: str
-    installation_location: InstallationLocation
-
-
-class AgentInstalledFromTemplateEventData(pydantic.BaseModel):
-    template_id: str
-    installed_agent_id: str
-    installation_location: InstallationLocation
-
-
-class AgentInstalledFromMarketplaceEvent(pydantic.BaseModel):
-    event_name: Literal["agent_installed_from_marketplace"]
-    event_data: AgentInstalledFromMarketplaceEventData
-
-
-class AgentInstalledFromTemplateEvent(pydantic.BaseModel):
-    event_name: Literal["agent_installed_from_template"]
-    event_data: AgentInstalledFromTemplateEventData
-
-
-AnalyticsEvent = Union[
-    AgentInstalledFromMarketplaceEvent, AgentInstalledFromTemplateEvent
-]
-
-
-class AnalyticsRequest(pydantic.BaseModel):
-    event: AnalyticsEvent
-
-
-class AddAgentRequest(pydantic.BaseModel):
-    graph: dict[str, typing.Any]
-    author: str
-    keywords: list[str]
-    categories: list[str]
-
-
-class SubmissionReviewRequest(pydantic.BaseModel):
-    agent_id: str
-    version: int
-    status: prisma.enums.SubmissionStatus
-    comments: str | None
-
-
-class AgentResponse(pydantic.BaseModel):
-    """
-    Represents a response from an agent.
-
-    Attributes:
-        id (str): The ID of the agent.
-        name (str, optional): The name of the agent.
-        description (str, optional): The description of the agent.
-        author (str, optional): The author of the agent.
-        keywords (list[str]): The keywords associated with the agent.
-        categories (list[str]): The categories the agent belongs to.
-        version (int): The version of the agent.
-        createdAt (str): The creation date of the agent.
-        updatedAt (str): The last update date of the agent.
-    """
-
-    id: str
-    name: typing.Optional[str]
-    description: typing.Optional[str]
-    author: typing.Optional[str]
-    keywords: list[str]
-    categories: list[str]
-    version: int
-    createdAt: datetime.datetime
-    updatedAt: datetime.datetime
-    submissionStatus: str
-    views: int = 0
-    downloads: int = 0
-
-
-class AgentDetailResponse(pydantic.BaseModel):
-    """
-    Represents the response data for an agent detail.
-
-    Attributes:
-        id (str): The ID of the agent.
-        name (Optional[str]): The name of the agent.
-        description (Optional[str]): The description of the agent.
-        author (Optional[str]): The author of the agent.
-        keywords (List[str]): The keywords associated with the agent.
-        categories (List[str]): The categories the agent belongs to.
-        version (int): The version of the agent.
-        createdAt (str): The creation date of the agent.
-        updatedAt (str): The last update date of the agent.
-        graph (Dict[str, Any]): The graph data of the agent.
-    """
-
-    id: str
-    name: typing.Optional[str]
-    description: typing.Optional[str]
-    author: typing.Optional[str]
-    keywords: list[str]
-    categories: list[str]
-    version: int
-    createdAt: datetime.datetime
-    updatedAt: datetime.datetime
-    graph: dict[str, typing.Any]
-
-
-class FeaturedAgentResponse(pydantic.BaseModel):
-    """
-    Represents the response data for an agent detail.
-    """
-
-    agentId: str
-    featuredCategories: list[str]
-    createdAt: datetime.datetime
-    updatedAt: datetime.datetime
-    isActive: bool
-
-
-class CategoriesResponse(pydantic.BaseModel):
-    """
-    Represents the response data for a list of categories.
-
-    Attributes:
-        unique_categories (list[str]): The list of unique categories.
-    """
-
-    unique_categories: list[str]
-
-
-T = TypeVar("T")
-
-
-class ListResponse(pydantic.BaseModel, Generic[T]):
-    """
-    Represents a list response.
-
-    Attributes:
-        items (list[T]): The list of items.
-        total_count (int): The total count of items.
-        page (int): The current page number.
-        page_size (int): The number of items per page.
-        total_pages (int): The total number of pages.
-    """
-
-    items: list[T]
-    total_count: int
-    page: int
-    page_size: int
-    total_pages: int
diff --git a/autogpt_platform/market/market/routes/admin.py b/autogpt_platform/market/market/routes/admin.py
deleted file mode 100644
index a3fe65cc962e..000000000000
--- a/autogpt_platform/market/market/routes/admin.py
+++ /dev/null
@@ -1,286 +0,0 @@
-import logging
-import typing
-
-import autogpt_libs.auth
-import fastapi
-import prisma
-import prisma.enums
-import prisma.models
-
-import market.db
-import market.model
-
-logger = logging.getLogger("marketplace")
-
-router = fastapi.APIRouter()
-
-
-@router.delete("/agent/{agent_id}", response_model=market.model.AgentResponse)
-async def delete_agent(
-    agent_id: str,
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-):
-    """
-    Delete an agent and all related records from the database.
-
-    Args:
-        agent_id (str): The ID of the agent to delete.
-
-    Returns:
-        market.model.AgentResponse: The deleted agent's data.
-
-    Raises:
-        fastapi.HTTPException: If the agent is not found or if there's an error during deletion.
-    """
-    try:
-        deleted_agent = await market.db.delete_agent(agent_id)
-        if deleted_agent:
-            return market.model.AgentResponse(**deleted_agent.dict())
-        else:
-            raise fastapi.HTTPException(status_code=404, detail="Agent not found")
-    except market.db.AgentQueryError as e:
-        logger.error(f"Error deleting agent: {e}")
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        logger.error(f"Unexpected error deleting agent: {e}")
-        raise fastapi.HTTPException(
-            status_code=500, detail="An unexpected error occurred"
-        )
-
-
-@router.post("/agent", response_model=market.model.AgentResponse)
-async def create_agent_entry(
-    request: market.model.AddAgentRequest,
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-):
-    """
-    A basic endpoint to create a new agent entry in the database.
-
-    """
-    try:
-        agent = await market.db.create_agent_entry(
-            request.graph["name"],
-            request.graph["description"],
-            request.author,
-            request.keywords,
-            request.categories,
-            prisma.Json(request.graph),
-        )
-
-        return fastapi.responses.PlainTextResponse(agent.model_dump_json())
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-
-
-@router.post("/agent/featured/{agent_id}")
-async def set_agent_featured(
-    agent_id: str,
-    categories: list[str] = fastapi.Query(
-        default=["featured"],
-        description="The categories to set the agent as featured in",
-    ),
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-) -> market.model.FeaturedAgentResponse:
-    """
-    A basic endpoint to set an agent as featured in the database.
-    """
-    try:
-        agent = await market.db.set_agent_featured(
-            agent_id, is_active=True, featured_categories=categories
-        )
-        return market.model.FeaturedAgentResponse(**agent.model_dump())
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-
-
-@router.get("/agent/featured/{agent_id}")
-async def get_agent_featured(
-    agent_id: str,
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-) -> market.model.FeaturedAgentResponse | None:
-    """
-    A basic endpoint to get an agent as featured in the database.
-    """
-    try:
-        agent = await market.db.get_agent_featured(agent_id)
-        if agent:
-            return market.model.FeaturedAgentResponse(**agent.model_dump())
-        else:
-            return None
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-
-
-@router.delete("/agent/featured/{agent_id}")
-async def unset_agent_featured(
-    agent_id: str,
-    category: str = "featured",
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-) -> market.model.FeaturedAgentResponse | None:
-    """
-    A basic endpoint to unset an agent as featured in the database.
-    """
-    try:
-        featured = await market.db.remove_featured_category(agent_id, category=category)
-        if featured:
-            return market.model.FeaturedAgentResponse(**featured.model_dump())
-        else:
-            return None
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-
-
-@router.get("/agent/not-featured")
-async def get_not_featured_agents(
-    page: int = fastapi.Query(1, ge=1, description="Page number"),
-    page_size: int = fastapi.Query(
-        10, ge=1, le=100, description="Number of items per page"
-    ),
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-) -> market.model.ListResponse[market.model.AgentResponse]:
-    """
-    A basic endpoint to get all not featured agents in the database.
-    """
-    try:
-        agents = await market.db.get_not_featured_agents(page=page, page_size=page_size)
-        return market.model.ListResponse(
-            items=[
-                market.model.AgentResponse(**agent.model_dump()) for agent in agents
-            ],
-            total_count=len(agents),
-            page=page,
-            page_size=page_size,
-            total_pages=999,
-        )
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-
-
-@router.get(
-    "/agent/submissions",
-    response_model=market.model.ListResponse[market.model.AgentResponse],
-)
-async def get_agent_submissions(
-    page: int = fastapi.Query(1, ge=1, description="Page number"),
-    page_size: int = fastapi.Query(
-        10, ge=1, le=100, description="Number of items per page"
-    ),
-    name: typing.Optional[str] = fastapi.Query(
-        None, description="Filter by agent name"
-    ),
-    keyword: typing.Optional[str] = fastapi.Query(
-        None, description="Filter by keyword"
-    ),
-    category: typing.Optional[str] = fastapi.Query(
-        None, description="Filter by category"
-    ),
-    description: typing.Optional[str] = fastapi.Query(
-        None, description="Fuzzy search in description"
-    ),
-    description_threshold: int = fastapi.Query(
-        60, ge=0, le=100, description="Fuzzy search threshold"
-    ),
-    sort_by: str = fastapi.Query("createdAt", description="Field to sort by"),
-    sort_order: typing.Literal["asc", "desc"] = fastapi.Query(
-        "desc", description="Sort order (asc or desc)"
-    ),
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-) -> market.model.ListResponse[market.model.AgentResponse]:
-    logger.info("Getting agent submissions")
-    try:
-        result = await market.db.get_agents(
-            page=page,
-            page_size=page_size,
-            name=name,
-            keyword=keyword,
-            category=category,
-            description=description,
-            description_threshold=description_threshold,
-            sort_by=sort_by,
-            sort_order=sort_order,
-            submission_status=prisma.enums.SubmissionStatus.PENDING,
-        )
-
-        agents = [
-            market.model.AgentResponse(**agent.dict()) for agent in result["agents"]
-        ]
-
-        return market.model.ListResponse(
-            items=agents,
-            total_count=result["total_count"],
-            page=result["page"],
-            page_size=result["page_size"],
-            total_pages=result["total_pages"],
-        )
-
-    except market.db.AgentQueryError as e:
-        logger.error(f"Error getting agent submissions: {e}")
-        raise fastapi.HTTPException(status_code=400, detail=str(e))
-    except Exception as e:
-        logger.error(f"Error getting agent submissions: {e}")
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {e}"
-        )
-
-
-@router.post("/agent/submissions")
-async def review_submission(
-    review_request: market.model.SubmissionReviewRequest,
-    user: autogpt_libs.auth.User = fastapi.Depends(
-        autogpt_libs.auth.requires_admin_user
-    ),
-) -> prisma.models.Agents | None:
-    """
-    A basic endpoint to review a submission in the database.
-    """
-    logger.info(
-        f"Reviewing submission: {review_request.agent_id}, {review_request.version}"
-    )
-    try:
-        agent = await market.db.update_agent_entry(
-            agent_id=review_request.agent_id,
-            version=review_request.version,
-            submission_state=review_request.status,
-            comments=review_request.comments,
-        )
-        return agent
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-
-
-@router.get("/categories")
-async def get_categories() -> market.model.CategoriesResponse:
-    """
-    A basic endpoint to get all available categories.
-    """
-    try:
-        categories = await market.db.get_all_categories()
-        return categories
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
diff --git a/autogpt_platform/market/market/routes/admin_tests.py b/autogpt_platform/market/market/routes/admin_tests.py
deleted file mode 100644
index c305e8c833ec..000000000000
--- a/autogpt_platform/market/market/routes/admin_tests.py
+++ /dev/null
@@ -1,76 +0,0 @@
-import datetime
-from unittest import mock
-
-import autogpt_libs.auth.middleware
-import fastapi
-import fastapi.testclient
-import prisma.enums
-import prisma.models
-
-import market.app
-
-client = fastapi.testclient.TestClient(market.app.app)
-
-
-async def override_auth_middleware(request: fastapi.Request):
-    return {"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"}
-
-
-market.app.app.dependency_overrides[autogpt_libs.auth.middleware.auth_middleware] = (
-    override_auth_middleware
-)
-
-
-def test_get_submissions():
-    with mock.patch("market.db.get_agents") as mock_get_agents:
-        mock_get_agents.return_value = {
-            "agents": [],
-            "total_count": 0,
-            "page": 1,
-            "page_size": 10,
-            "total_pages": 0,
-        }
-        response = client.get(
-            "/api/v1/market/admin/agent/submissions?page=1&page_size=10&description_threshold=60&sort_by=createdAt&sort_order=desc",
-            headers={"Bearer": ""},
-        )
-        assert response.status_code == 200
-        assert response.json() == {
-            "agents": [],
-            "total_count": 0,
-            "page": 1,
-            "page_size": 10,
-            "total_pages": 0,
-        }
-
-
-def test_review_submission():
-    with mock.patch("market.db.update_agent_entry") as mock_update_agent_entry:
-        mock_update_agent_entry.return_value = prisma.models.Agents(
-            id="aaa-bbb-ccc",
-            version=1,
-            createdAt=datetime.datetime.fromisoformat("2021-10-01T00:00:00+00:00"),
-            updatedAt=datetime.datetime.fromisoformat("2021-10-01T00:00:00+00:00"),
-            submissionStatus=prisma.enums.SubmissionStatus.APPROVED,
-            submissionDate=datetime.datetime.fromisoformat("2021-10-01T00:00:00+00:00"),
-            submissionReviewComments="Looks good",
-            submissionReviewDate=datetime.datetime.fromisoformat(
-                "2021-10-01T00:00:00+00:00"
-            ),
-            keywords=["test"],
-            categories=["test"],
-            graph='{"name": "test", "description": "test"}',  # type: ignore
-        )
-        response = client.post(
-            "/api/v1/market/admin/agent/submissions",
-            headers={
-                "Authorization": "Bearer token"
-            },  # Assuming you need an authorization token
-            json={
-                "agent_id": "aaa-bbb-ccc",
-                "version": 1,
-                "status": "APPROVED",
-                "comments": "Looks good",
-            },
-        )
-        assert response.status_code == 200
diff --git a/autogpt_platform/market/market/routes/agents.py b/autogpt_platform/market/market/routes/agents.py
deleted file mode 100644
index 672dfb64e54e..000000000000
--- a/autogpt_platform/market/market/routes/agents.py
+++ /dev/null
@@ -1,368 +0,0 @@
-import json
-import tempfile
-import typing
-
-import fastapi
-import fastapi.responses
-import prisma
-import prisma.enums
-
-import market.db
-import market.model
-import market.utils.analytics
-
-router = fastapi.APIRouter()
-
-
-@router.get(
-    "/agents", response_model=market.model.ListResponse[market.model.AgentResponse]
-)
-async def list_agents(
-    page: int = fastapi.Query(1, ge=1, description="Page number"),
-    page_size: int = fastapi.Query(
-        10, ge=1, le=100, description="Number of items per page"
-    ),
-    name: typing.Optional[str] = fastapi.Query(
-        None, description="Filter by agent name"
-    ),
-    keyword: typing.Optional[str] = fastapi.Query(
-        None, description="Filter by keyword"
-    ),
-    category: typing.Optional[str] = fastapi.Query(
-        None, description="Filter by category"
-    ),
-    description: typing.Optional[str] = fastapi.Query(
-        None, description="Fuzzy search in description"
-    ),
-    description_threshold: int = fastapi.Query(
-        60, ge=0, le=100, description="Fuzzy search threshold"
-    ),
-    sort_by: str = fastapi.Query("createdAt", description="Field to sort by"),
-    sort_order: typing.Literal["asc", "desc"] = fastapi.Query(
-        "desc", description="Sort order (asc or desc)"
-    ),
-    submission_status: prisma.enums.SubmissionStatus = fastapi.Query(
-        default=prisma.enums.SubmissionStatus.APPROVED,
-        description="Filter by submission status",
-    ),
-):
-    """
-    Retrieve a list of agents based on the provided filters.
-
-    Args:
-        page (int): Page number (default: 1).
-        page_size (int): Number of items per page (default: 10, min: 1, max: 100).
-        name (str, optional): Filter by agent name.
-        keyword (str, optional): Filter by keyword.
-        category (str, optional): Filter by category.
-        description (str, optional): Fuzzy search in description.
-        description_threshold (int): Fuzzy search threshold (default: 60, min: 0, max: 100).
-        sort_by (str): Field to sort by (default: "createdAt").
-        sort_order (str): Sort order (asc or desc) (default: "desc").
-        submission_status (str): Filter by submission status (default: "APPROVED").
-
-    Returns:
-        market.model.ListResponse[market.model.AgentResponse]: A response containing the list of agents and pagination information.
-
-    Raises:
-        HTTPException: If there is a client error (status code 400) or an unexpected error (status code 500).
-    """
-    try:
-        result = await market.db.get_agents(
-            page=page,
-            page_size=page_size,
-            name=name,
-            keyword=keyword,
-            category=category,
-            description=description,
-            description_threshold=description_threshold,
-            sort_by=sort_by,
-            sort_order=sort_order,
-            submission_status=submission_status,
-        )
-
-        agents = [
-            market.model.AgentResponse(**agent.dict()) for agent in result["agents"]
-        ]
-
-        return market.model.ListResponse(
-            items=agents,
-            total_count=result["total_count"],
-            page=result["page"],
-            page_size=result["page_size"],
-            total_pages=result["total_pages"],
-        )
-
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=400, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {e}"
-        )
-
-
-@router.get("/agents/{agent_id}", response_model=market.model.AgentDetailResponse)
-async def get_agent_details_endpoint(
-    background_tasks: fastapi.BackgroundTasks,
-    agent_id: str = fastapi.Path(..., description="The ID of the agent to retrieve"),
-    version: typing.Optional[int] = fastapi.Query(
-        None, description="Specific version of the agent"
-    ),
-):
-    """
-    Retrieve details of a specific agent.
-
-    Args:
-        agent_id (str): The ID of the agent to retrieve.
-        version (Optional[int]): Specific version of the agent (default: None).
-
-    Returns:
-        market.model.AgentDetailResponse: The response containing the agent details.
-
-    Raises:
-        HTTPException: If the agent is not found or an unexpected error occurs.
-    """
-    try:
-        agent = await market.db.get_agent_details(agent_id, version)
-        background_tasks.add_task(market.utils.analytics.track_view, agent_id)
-        return market.model.AgentDetailResponse(**agent.model_dump())
-
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=404, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {str(e)}"
-        )
-
-
-@router.get("/agents/{agent_id}/download")
-async def download_agent(
-    background_tasks: fastapi.BackgroundTasks,
-    agent_id: str = fastapi.Path(..., description="The ID of the agent to retrieve"),
-    version: typing.Optional[int] = fastapi.Query(
-        None, description="Specific version of the agent"
-    ),
-):
-    """
-    Download details of a specific agent.
-
-    NOTE: This is the same as agent details, however it also triggers
-    the "download" tracking. We don't actually want to download a file though
-
-    Args:
-        agent_id (str): The ID of the agent to retrieve.
-        version (Optional[int]): Specific version of the agent (default: None).
-
-    Returns:
-        market.model.AgentDetailResponse: The response containing the agent details.
-
-    Raises:
-        HTTPException: If the agent is not found or an unexpected error occurs.
-    """
-    try:
-        agent = await market.db.get_agent_details(agent_id, version)
-        background_tasks.add_task(market.utils.analytics.track_download, agent_id)
-        return market.model.AgentDetailResponse(**agent.model_dump())
-
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=404, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {str(e)}"
-        )
-
-
-@router.get("/agents/{agent_id}/download-file")
-async def download_agent_file(
-    background_tasks: fastapi.BackgroundTasks,
-    agent_id: str = fastapi.Path(..., description="The ID of the agent to download"),
-    version: typing.Optional[int] = fastapi.Query(
-        None, description="Specific version of the agent"
-    ),
-) -> fastapi.responses.FileResponse:
-    """
-    Download the agent file by streaming its content.
-
-    Args:
-        agent_id (str): The ID of the agent to download.
-        version (Optional[int]): Specific version of the agent to download.
-
-    Returns:
-        StreamingResponse: A streaming response containing the agent's graph data.
-
-    Raises:
-        HTTPException: If the agent is not found or an unexpected error occurs.
-    """
-    agent = await market.db.get_agent_details(agent_id, version)
-
-    graph_data: prisma.Json = agent.graph
-
-    background_tasks.add_task(market.utils.analytics.track_download, agent_id)
-
-    file_name = f"agent_{agent_id}_v{version or 'latest'}.json"
-
-    with tempfile.NamedTemporaryFile(
-        mode="w", suffix=".json", delete=False
-    ) as tmp_file:
-        tmp_file.write(json.dumps(graph_data))
-        tmp_file.flush()
-
-        return fastapi.responses.FileResponse(
-            tmp_file.name, filename=file_name, media_type="application/json"
-        )
-
-
-# top agents by downloads
-@router.get(
-    "/top-downloads/agents",
-    response_model=market.model.ListResponse[market.model.AgentResponse],
-)
-async def top_agents_by_downloads(
-    page: int = fastapi.Query(1, ge=1, description="Page number"),
-    page_size: int = fastapi.Query(
-        10, ge=1, le=100, description="Number of items per page"
-    ),
-    submission_status: prisma.enums.SubmissionStatus = fastapi.Query(
-        default=prisma.enums.SubmissionStatus.APPROVED,
-        description="Filter by submission status",
-    ),
-) -> market.model.ListResponse[market.model.AgentResponse]:
-    """
-    Retrieve a list of top agents based on the number of downloads.
-
-    Args:
-        page (int): Page number (default: 1).
-        page_size (int): Number of items per page (default: 10, min: 1, max: 100).
-        submission_status (str): Filter by submission status (default: "APPROVED").
-
-    Returns:
-        market.model.ListResponse[market.model.AgentResponse]: A response containing the list of top agents and pagination information.
-
-    Raises:
-        HTTPException: If there is a client error (status code 400) or an unexpected error (status code 500).
-    """
-    try:
-        result = await market.db.get_top_agents_by_downloads(
-            page=page,
-            page_size=page_size,
-            submission_status=submission_status,
-        )
-
-        ret = market.model.ListResponse(
-            total_count=result.total_count,
-            page=result.page,
-            page_size=result.page_size,
-            total_pages=result.total_pages,
-            items=[
-                market.model.AgentResponse(
-                    id=item.agent.id,
-                    name=item.agent.name,
-                    description=item.agent.description,
-                    author=item.agent.author,
-                    keywords=item.agent.keywords,
-                    categories=item.agent.categories,
-                    version=item.agent.version,
-                    createdAt=item.agent.createdAt,
-                    updatedAt=item.agent.updatedAt,
-                    views=item.views,
-                    downloads=item.downloads,
-                    submissionStatus=item.agent.submissionStatus,
-                )
-                for item in result.items
-                if item.agent is not None
-            ],
-        )
-
-        return ret
-
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=400, detail=str(e)) from e
-    except Exception as e:
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {e}"
-        ) from e
-
-
-@router.get(
-    "/featured/agents",
-    response_model=market.model.ListResponse[market.model.AgentResponse],
-)
-async def get_featured_agents(
-    category: str = fastapi.Query(
-        "featured", description="Category of featured agents"
-    ),
-    page: int = fastapi.Query(1, ge=1, description="Page number"),
-    page_size: int = fastapi.Query(
-        10, ge=1, le=100, description="Number of items per page"
-    ),
-    submission_status: prisma.enums.SubmissionStatus = fastapi.Query(
-        default=prisma.enums.SubmissionStatus.APPROVED,
-        description="Filter by submission status",
-    ),
-):
-    """
-    Retrieve a list of featured agents based on the provided category.
-
-    Args:
-        category (str): Category of featured agents (default: "featured").
-        page (int): Page number (default: 1).
-        page_size (int): Number of items per page (default: 10, min: 1, max: 100).
-        submission_status (str): Filter by submission status (default: "APPROVED").
-
-    Returns:
-        market.model.ListResponse[market.model.AgentResponse]: A response containing the list of featured agents and pagination information.
-
-    Raises:
-        HTTPException: If there is a client error (status code 400) or an unexpected error (status code 500).
-    """
-    try:
-        result = await market.db.get_featured_agents(
-            category=category,
-            page=page,
-            page_size=page_size,
-            submission_status=submission_status,
-        )
-
-        ret = market.model.ListResponse(
-            total_count=result.total_count,
-            page=result.page,
-            page_size=result.page_size,
-            total_pages=result.total_pages,
-            items=[
-                market.model.AgentResponse(
-                    id=item.agent.id,
-                    name=item.agent.name,
-                    description=item.agent.description,
-                    author=item.agent.author,
-                    keywords=item.agent.keywords,
-                    categories=item.agent.categories,
-                    version=item.agent.version,
-                    createdAt=item.agent.createdAt,
-                    updatedAt=item.agent.updatedAt,
-                    views=(
-                        item.agent.AnalyticsTracker[0].views
-                        if item.agent.AnalyticsTracker
-                        and len(item.agent.AnalyticsTracker) > 0
-                        else 0
-                    ),
-                    downloads=(
-                        item.agent.AnalyticsTracker[0].downloads
-                        if item.agent.AnalyticsTracker
-                        and len(item.agent.AnalyticsTracker) > 0
-                        else 0
-                    ),
-                    submissionStatus=item.agent.submissionStatus,
-                )
-                for item in result.featured_agents
-                if item.agent is not None
-            ],
-        )
-
-        return ret
-
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=400, detail=str(e)) from e
-    except Exception as e:
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {e}"
-        ) from e
diff --git a/autogpt_platform/market/market/routes/analytics.py b/autogpt_platform/market/market/routes/analytics.py
deleted file mode 100644
index 87adbca0748d..000000000000
--- a/autogpt_platform/market/market/routes/analytics.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import fastapi
-
-import market.db
-import market.model
-
-router = fastapi.APIRouter()
-
-
-@router.post("/agent-installed")
-async def agent_installed_endpoint(
-    event_data: market.model.AgentInstalledFromMarketplaceEventData,
-):
-    """
-    Endpoint to track agent installation events from the marketplace.
-
-    Args:
-        event_data (market.model.AgentInstalledFromMarketplaceEventData): The event data.
-    """
-    try:
-        await market.db.create_agent_installed_event(event_data)
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=400, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(
-            status_code=500, detail=f"An unexpected error occurred: {e}"
-        )
diff --git a/autogpt_platform/market/market/routes/search.py b/autogpt_platform/market/market/routes/search.py
deleted file mode 100644
index 15ef3ffa30e0..000000000000
--- a/autogpt_platform/market/market/routes/search.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import typing
-
-import fastapi
-import prisma.enums
-
-import market.db
-import market.model
-import market.utils.extension_types
-
-router = fastapi.APIRouter()
-
-
-@router.get("/search")
-async def search(
-    query: str,
-    page: int = fastapi.Query(1, description="The pagination page to start on"),
-    page_size: int = fastapi.Query(
-        10, description="The number of items to return per page"
-    ),
-    categories: typing.List[str] = fastapi.Query(
-        None, description="The categories to filter by"
-    ),
-    description_threshold: int = fastapi.Query(
-        60, description="The number of characters to return from the description"
-    ),
-    sort_by: str = fastapi.Query("rank", description="Sorting by column"),
-    sort_order: typing.Literal["desc", "asc"] = fastapi.Query(
-        "desc", description="The sort order based on sort_by"
-    ),
-    submission_status: prisma.enums.SubmissionStatus = fastapi.Query(
-        prisma.enums.SubmissionStatus.APPROVED,
-        description="The submission status to filter by",
-    ),
-) -> market.model.ListResponse[market.utils.extension_types.AgentsWithRank]:
-    """searches endpoint for agents
-
-    Args:
-        query (str): the search query
-        page (int, optional): the pagination page to start on. Defaults to 1.
-        page_size (int, optional): the number of items to return per page. Defaults to 10.
-        category (str | None, optional): the agent category to filter by. None is no filter. Defaults to None.
-        description_threshold (int, optional): the number of characters to return from the description. Defaults to 60.
-        sort_by (str, optional): Sorting by column. Defaults to "rank".
-        sort_order ('asc' | 'desc', optional): the sort order based on sort_by. Defaults to "desc".
-    """
-    agents = await market.db.search_db(
-        query=query,
-        page=page,
-        page_size=page_size,
-        categories=categories,
-        description_threshold=description_threshold,
-        sort_by=sort_by,
-        sort_order=sort_order,
-        submission_status=submission_status,
-    )
-    return agents
diff --git a/autogpt_platform/market/market/routes/submissions.py b/autogpt_platform/market/market/routes/submissions.py
deleted file mode 100644
index 49a4dea14e8a..000000000000
--- a/autogpt_platform/market/market/routes/submissions.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import autogpt_libs.auth
-import fastapi
-import fastapi.responses
-import prisma
-
-import market.db
-import market.model
-import market.utils.analytics
-
-router = fastapi.APIRouter()
-
-
-@router.post("/agents/submit", response_model=market.model.AgentResponse)
-async def submit_agent(
-    request: market.model.AddAgentRequest,
-    user: autogpt_libs.auth.User = fastapi.Depends(autogpt_libs.auth.requires_user),
-):
-    """
-    A basic endpoint to create a new agent entry in the database.
-    """
-    try:
-        agent = await market.db.create_agent_entry(
-            request.graph["name"],
-            request.graph["description"],
-            request.author,
-            request.keywords,
-            request.categories,
-            prisma.Json(request.graph),
-        )
-
-        return fastapi.responses.PlainTextResponse(agent.model_dump_json())
-    except market.db.AgentQueryError as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
-    except Exception as e:
-        raise fastapi.HTTPException(status_code=500, detail=str(e))
diff --git a/autogpt_platform/market/market/utils/analytics.py b/autogpt_platform/market/market/utils/analytics.py
deleted file mode 100644
index 71dcaf0786f4..000000000000
--- a/autogpt_platform/market/market/utils/analytics.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import prisma.models
-
-
-async def track_download(agent_id: str):
-    """
-    Track the download event in the database.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        version (int | None, optional): The version of the agent. Defaults to None.
-
-    Raises:
-        Exception: If there is an error tracking the download event.
-    """
-    try:
-        await prisma.models.AnalyticsTracker.prisma().upsert(
-            where={"agentId": agent_id},
-            data={
-                "update": {"downloads": {"increment": 1}},
-                "create": {"agentId": agent_id, "downloads": 1, "views": 0},
-            },
-        )
-    except Exception as e:
-        raise Exception(f"Error tracking download event: {str(e)}")
-
-
-async def track_view(agent_id: str):
-    """
-    Track the view event in the database.
-
-    Args:
-        agent_id (str): The ID of the agent.
-        version (int | None, optional): The version of the agent. Defaults to None.
-
-    Raises:
-        Exception: If there is an error tracking the view event.
-    """
-    try:
-        await prisma.models.AnalyticsTracker.prisma().upsert(
-            where={"agentId": agent_id},
-            data={
-                "update": {"views": {"increment": 1}},
-                "create": {"agentId": agent_id, "downloads": 0, "views": 1},
-            },
-        )
-    except Exception as e:
-        raise Exception(f"Error tracking view event: {str(e)}")
diff --git a/autogpt_platform/market/market/utils/extension_types.py b/autogpt_platform/market/market/utils/extension_types.py
deleted file mode 100644
index d76bbb19f5ae..000000000000
--- a/autogpt_platform/market/market/utils/extension_types.py
+++ /dev/null
@@ -1,5 +0,0 @@
-import prisma.models
-
-
-class AgentsWithRank(prisma.models.Agents):
-    rank: float
diff --git a/autogpt_platform/market/market/utils/partial_types.py b/autogpt_platform/market/market/utils/partial_types.py
deleted file mode 100644
index 3ec3bdc2b8b3..000000000000
--- a/autogpt_platform/market/market/utils/partial_types.py
+++ /dev/null
@@ -1,6 +0,0 @@
-import prisma.models
-
-prisma.models.Agents.create_partial(
-    "AgentOnlyDescriptionNameAuthorIdCategories",
-    include={"name", "author", "id", "categories"},
-)
diff --git a/autogpt_platform/market/migrations/20240731181721_base_migration/migration.sql b/autogpt_platform/market/migrations/20240731181721_base_migration/migration.sql
deleted file mode 100644
index 57bdb6d0448d..000000000000
--- a/autogpt_platform/market/migrations/20240731181721_base_migration/migration.sql
+++ /dev/null
@@ -1,61 +0,0 @@
--- CreateTable
-CREATE TABLE "Agents" (
-    "id" UUID NOT NULL DEFAULT gen_random_uuid(),
-    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updatedAt" TIMESTAMP(3) NOT NULL,
-    "version" INTEGER NOT NULL DEFAULT 1,
-    "name" TEXT,
-    "description" TEXT,
-    "author" TEXT,
-    "keywords" TEXT[],
-    "categories" TEXT[],
-    "search" tsvector DEFAULT ''::tsvector,
-    "graph" JSONB NOT NULL,
-
-    CONSTRAINT "Agents_pkey" PRIMARY KEY ("id","version")
-);
-
--- CreateTable
-CREATE TABLE "AnalyticsTracker" (
-    "id" UUID NOT NULL DEFAULT gen_random_uuid(),
-    "agentId" UUID NOT NULL,
-    "views" INTEGER NOT NULL,
-    "downloads" INTEGER NOT NULL
-);
-
--- CreateIndex
-CREATE UNIQUE INDEX "Agents_id_key" ON "Agents"("id");
-
--- CreateIndex
-CREATE UNIQUE INDEX "AnalyticsTracker_id_key" ON "AnalyticsTracker"("id");
-
--- AddForeignKey
-ALTER TABLE "AnalyticsTracker" ADD CONSTRAINT "AnalyticsTracker_agentId_fkey" FOREIGN KEY ("agentId") REFERENCES "Agents"("id") ON DELETE RESTRICT ON UPDATE CASCADE;
-
-
--- Add trigger to update the search column with the tsvector of the agent
--- Function to be invoked by trigger
-
-CREATE OR REPLACE FUNCTION update_tsvector_column() RETURNS TRIGGER AS $$
-
-BEGIN
-
-NEW.search := to_tsvector('english', COALESCE(NEW.description, '')|| ' ' ||COALESCE(NEW.name, '')|| ' ' ||COALESCE(NEW.author, ''));
-
-RETURN NEW;
-
-END;
-
-$$ LANGUAGE plpgsql SECURITY definer SET search_path = public, pg_temp;
-
--- Trigger that keeps the TSVECTOR up to date
-
-DROP TRIGGER IF EXISTS "update_tsvector" ON "Agents";
-
-CREATE TRIGGER "update_tsvector"
-
-BEFORE INSERT OR UPDATE ON "Agents"
-
-FOR EACH ROW
-
-EXECUTE FUNCTION update_tsvector_column ();
\ No newline at end of file
diff --git a/autogpt_platform/market/migrations/20240731213728_unique_agent_id/migration.sql b/autogpt_platform/market/migrations/20240731213728_unique_agent_id/migration.sql
deleted file mode 100644
index fd421f6a60ea..000000000000
--- a/autogpt_platform/market/migrations/20240731213728_unique_agent_id/migration.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-/*
-  Warnings:
-
-  - A unique constraint covering the columns `[agentId]` on the table `AnalyticsTracker` will be added. If there are existing duplicate values, this will fail.
-
-*/
--- AlterTable
-ALTER TABLE "AnalyticsTracker" ADD CONSTRAINT "AnalyticsTracker_pkey" PRIMARY KEY ("id");
-
--- CreateIndex
-CREATE UNIQUE INDEX "AnalyticsTracker_agentId_key" ON "AnalyticsTracker"("agentId");
diff --git a/autogpt_platform/market/migrations/20240802100955_add_featured_agents/migration.sql b/autogpt_platform/market/migrations/20240802100955_add_featured_agents/migration.sql
deleted file mode 100644
index e615e8671678..000000000000
--- a/autogpt_platform/market/migrations/20240802100955_add_featured_agents/migration.sql
+++ /dev/null
@@ -1,20 +0,0 @@
--- CreateTable
-CREATE TABLE "FeaturedAgent" (
-    "id" UUID NOT NULL DEFAULT gen_random_uuid(),
-    "agentId" UUID NOT NULL,
-    "is_featured" BOOLEAN NOT NULL,
-    "category" TEXT NOT NULL DEFAULT 'featured',
-    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-    "updatedAt" TIMESTAMP(3) NOT NULL,
-
-    CONSTRAINT "FeaturedAgent_pkey" PRIMARY KEY ("id")
-);
-
--- CreateIndex
-CREATE UNIQUE INDEX "FeaturedAgent_id_key" ON "FeaturedAgent"("id");
-
--- CreateIndex
-CREATE UNIQUE INDEX "FeaturedAgent_agentId_key" ON "FeaturedAgent"("agentId");
-
--- AddForeignKey
-ALTER TABLE "FeaturedAgent" ADD CONSTRAINT "FeaturedAgent_agentId_fkey" FOREIGN KEY ("agentId") REFERENCES "Agents"("id") ON DELETE RESTRICT ON UPDATE CASCADE;
diff --git a/autogpt_platform/market/migrations/20240802174953_default_is_featured_to_false/migration.sql b/autogpt_platform/market/migrations/20240802174953_default_is_featured_to_false/migration.sql
deleted file mode 100644
index 0893c37859e6..000000000000
--- a/autogpt_platform/market/migrations/20240802174953_default_is_featured_to_false/migration.sql
+++ /dev/null
@@ -1,2 +0,0 @@
--- AlterTable
-ALTER TABLE "FeaturedAgent" ALTER COLUMN "is_featured" SET DEFAULT false;
diff --git a/autogpt_platform/market/migrations/20240808080208_added_submissions/migration.sql b/autogpt_platform/market/migrations/20240808080208_added_submissions/migration.sql
deleted file mode 100644
index e30f090fba19..000000000000
--- a/autogpt_platform/market/migrations/20240808080208_added_submissions/migration.sql
+++ /dev/null
@@ -1,8 +0,0 @@
--- CreateEnum
-CREATE TYPE "SubmissionStatus" AS ENUM ('PENDING', 'APPROVED', 'REJECTED');
-
--- AlterTable
-ALTER TABLE "Agents" ADD COLUMN     "submissionDate" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-ADD COLUMN     "submissionReviewComments" TEXT,
-ADD COLUMN     "submissionReviewDate" TIMESTAMP(3),
-ADD COLUMN     "submissionStatus" "SubmissionStatus" NOT NULL DEFAULT 'PENDING';
diff --git a/autogpt_platform/market/migrations/20240829002156_make_featured_category_a_list_of_categories_and_is_featured_is_active/migration.sql b/autogpt_platform/market/migrations/20240829002156_make_featured_category_a_list_of_categories_and_is_featured_is_active/migration.sql
deleted file mode 100644
index 3dc0ca322321..000000000000
--- a/autogpt_platform/market/migrations/20240829002156_make_featured_category_a_list_of_categories_and_is_featured_is_active/migration.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-/*
-  Warnings:
-
-  - You are about to drop the column `category` on the `FeaturedAgent` table. All the data in the column will be lost.
-  - You are about to drop the column `is_featured` on the `FeaturedAgent` table. All the data in the column will be lost.
-
-*/
--- AlterTable
-ALTER TABLE "FeaturedAgent" DROP COLUMN "category",
-DROP COLUMN "is_featured",
-ADD COLUMN     "featuredCategories" TEXT[],
-ADD COLUMN     "isActive" BOOLEAN NOT NULL DEFAULT false;
diff --git a/autogpt_platform/market/migrations/20240905162237_/migration.sql b/autogpt_platform/market/migrations/20240905162237_/migration.sql
deleted file mode 100644
index ca2dc97bc17a..000000000000
--- a/autogpt_platform/market/migrations/20240905162237_/migration.sql
+++ /dev/null
@@ -1,19 +0,0 @@
--- CreateEnum
-CREATE TYPE "InstallationLocation" AS ENUM ('LOCAL', 'CLOUD');
-
--- CreateTable
-CREATE TABLE "InstallTracker" (
-    "id" UUID NOT NULL DEFAULT gen_random_uuid(),
-    "marketplaceAgentId" UUID NOT NULL,
-    "installedAgentId" UUID NOT NULL,
-    "installationLocation" "InstallationLocation" NOT NULL,
-    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
-
-    CONSTRAINT "InstallTracker_pkey" PRIMARY KEY ("id")
-);
-
--- CreateIndex
-CREATE UNIQUE INDEX "InstallTracker_marketplaceAgentId_installedAgentId_key" ON "InstallTracker"("marketplaceAgentId", "installedAgentId");
-
--- AddForeignKey
-ALTER TABLE "InstallTracker" ADD CONSTRAINT "InstallTracker_marketplaceAgentId_fkey" FOREIGN KEY ("marketplaceAgentId") REFERENCES "Agents"("id") ON DELETE RESTRICT ON UPDATE CASCADE;
diff --git a/autogpt_platform/market/migrations/20241003134209_update_foreign_key_on_delete/migration.sql b/autogpt_platform/market/migrations/20241003134209_update_foreign_key_on_delete/migration.sql
deleted file mode 100644
index 2e1bdc7b7cf4..000000000000
--- a/autogpt_platform/market/migrations/20241003134209_update_foreign_key_on_delete/migration.sql
+++ /dev/null
@@ -1,20 +0,0 @@
--- DropForeignKey
-ALTER TABLE "AnalyticsTracker" DROP CONSTRAINT "AnalyticsTracker_agentId_fkey";
-
--- DropForeignKey
-ALTER TABLE "FeaturedAgent" DROP CONSTRAINT "FeaturedAgent_agentId_fkey";
-
--- DropForeignKey
-ALTER TABLE "InstallTracker" DROP CONSTRAINT "InstallTracker_marketplaceAgentId_fkey";
-
--- DropIndex
-DROP INDEX "AnalyticsTracker_agentId_key";
-
--- AddForeignKey
-ALTER TABLE "AnalyticsTracker" ADD CONSTRAINT "AnalyticsTracker_agentId_fkey" FOREIGN KEY ("agentId") REFERENCES "Agents"("id") ON DELETE CASCADE ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "InstallTracker" ADD CONSTRAINT "InstallTracker_marketplaceAgentId_fkey" FOREIGN KEY ("marketplaceAgentId") REFERENCES "Agents"("id") ON DELETE CASCADE ON UPDATE CASCADE;
-
--- AddForeignKey
-ALTER TABLE "FeaturedAgent" ADD CONSTRAINT "FeaturedAgent_agentId_fkey" FOREIGN KEY ("agentId") REFERENCES "Agents"("id") ON DELETE CASCADE ON UPDATE CASCADE;
diff --git a/autogpt_platform/market/migrations/20241014173713_add_unique_restriction/migration.sql b/autogpt_platform/market/migrations/20241014173713_add_unique_restriction/migration.sql
deleted file mode 100644
index c1ce4b5dee1c..000000000000
--- a/autogpt_platform/market/migrations/20241014173713_add_unique_restriction/migration.sql
+++ /dev/null
@@ -1,8 +0,0 @@
-/*
-  Warnings:
-
-  - A unique constraint covering the columns `[agentId]` on the table `AnalyticsTracker` will be added. If there are existing duplicate values, this will fail.
-
-*/
--- CreateIndex
-CREATE UNIQUE INDEX "AnalyticsTracker_agentId_key" ON "AnalyticsTracker"("agentId");
diff --git a/autogpt_platform/market/migrations/migration_lock.toml b/autogpt_platform/market/migrations/migration_lock.toml
deleted file mode 100644
index fbffa92c2bb7..000000000000
--- a/autogpt_platform/market/migrations/migration_lock.toml
+++ /dev/null
@@ -1,3 +0,0 @@
-# Please do not edit this file manually
-# It should be added in your version-control system (i.e. Git)
-provider = "postgresql"
\ No newline at end of file
diff --git a/autogpt_platform/market/poetry.lock b/autogpt_platform/market/poetry.lock
deleted file mode 100644
index f110bd3fb1ed..000000000000
--- a/autogpt_platform/market/poetry.lock
+++ /dev/null
@@ -1,1301 +0,0 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
-
-[[package]]
-name = "annotated-types"
-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
-    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
-]
-
-[[package]]
-name = "anyio"
-version = "4.4.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
-optional = false
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-    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bca36be5707e81b9e6ce3208d92d95540d4ca244c006b61511753583c81c70dd"},
-    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ab998f567ebdf6b1da7dc1e5accfaa7c6992244629c0fdaef062f43249bd8dee"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dddba7ca1c807045323b6af4ff80f5ddc4d654c8bce8317dde1bd96b128ed253"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_armv7l.whl", hash = "sha256:4513ec234c68b14d4161440e07f995f231be21a09329051e67a2118a7a612d2d"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_i686.whl", hash = "sha256:4107ac5ab936a63952dea2a46a734a23230aa2f6f9db1291bf171dac3ebd53c6"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64.whl", hash = "sha256:6e8c70d2cd745daec2a08734d9f63092b793ad97612470a0ee4cbb8f5f705c57"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f27279d060e2ab24c0aa98363ff906d2386aa6c4dc2f1a374655d4e02a6c5e5e"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_s390x.whl", hash = "sha256:f8affdf3c0f0466e69f5b3917cdd042f89c8c63aebdb9f7c078996f607cdb0f5"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ac7041b385f04c047fcc2951dc001671dee1b7e0615cde772e84b01fbf68ee84"},
-    {file = "watchdog-4.0.1-py3-none-win32.whl", hash = "sha256:206afc3d964f9a233e6ad34618ec60b9837d0582b500b63687e34011e15bb429"},
-    {file = "watchdog-4.0.1-py3-none-win_amd64.whl", hash = "sha256:7577b3c43e5909623149f76b099ac49a1a01ca4e167d1785c76eb52fa585745a"},
-    {file = "watchdog-4.0.1-py3-none-win_ia64.whl", hash = "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d"},
-    {file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
-]
-
-[package.extras]
-watchmedo = ["PyYAML (>=3.10)"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = "^3.10"
-content-hash = "5dbf6cd95ba8e80c4a6b4e6a54c6cdfb1488619e4293d1d5a8572c5330485493"
diff --git a/autogpt_platform/market/pyproject.toml b/autogpt_platform/market/pyproject.toml
deleted file mode 100644
index 279a1111689c..000000000000
--- a/autogpt_platform/market/pyproject.toml
+++ /dev/null
@@ -1,57 +0,0 @@
-[tool.poetry]
-name = "market"
-version = "0.1.0"
-description = ""
-authors = [
-  "SwiftyOS <craigswift13@gmail.com>",
-  "Nicholas Tindle <spam@ntindle.com>",
-]
-readme = "README.md"
-
-[tool.poetry.dependencies]
-python = "^3.10"
-prisma = "^0.15.0"
-python-dotenv = "^1.0.1"
-uvicorn = "^0.34.0"
-fastapi = "^0.115.6"
-sentry-sdk = { extras = ["fastapi"], version = "^2.19.2" }
-fuzzywuzzy = "^0.18.0"
-python-levenshtein = "^0.26.1"
-# autogpt-platform-backend = { path = "../backend", develop = true }
-prometheus-fastapi-instrumentator = "^7.0.0"
-
-
-autogpt-libs = {path = "../autogpt_libs"}
-[tool.poetry.group.dev.dependencies]
-pytest = "^8.3.4"
-pytest-asyncio = "^0.25.0"
-
-pytest-watcher = "^0.4.3"
-requests = "^2.32.3"
-ruff = "^0.8.3"
-pyright = "^1.1.390"
-isort = "^5.13.2"
-black = "^24.10.0"
-
-[build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
-
-[tool.poetry.scripts]
-format = "scripts:format"
-lint = "scripts:lint"
-app = "scripts:app"
-setup = "scripts:setup"
-populate = "scripts:populate_database"
-
-[tool.pytest-watcher]
-now = false
-clear = true
-delay = 0.2
-runner = "pytest"
-runner_args = []
-patterns = ["*.py"]
-ignore_patterns = []
-
-[tool.pytest.ini_options]
-asyncio_mode = "auto"
diff --git a/autogpt_platform/market/schema.prisma b/autogpt_platform/market/schema.prisma
deleted file mode 100644
index 8a29c2b2ade7..000000000000
--- a/autogpt_platform/market/schema.prisma
+++ /dev/null
@@ -1,80 +0,0 @@
-datasource db {
-  provider = "postgresql"
-  url      = env("DATABASE_URL")
-}
-
-generator client {
-  provider               = "prisma-client-py"
-  recursive_type_depth   = 5
-  interface              = "asyncio"
-  previewFeatures        = ["fullTextSearch"]
-  partial_type_generator = "market/utils/partial_types.py"
-}
-
-enum SubmissionStatus {
-  PENDING
-  APPROVED
-  REJECTED
-}
-
-model Agents {
-  id      String @unique @default(dbgenerated("gen_random_uuid()")) @db.Uuid
-  version Int    @default(1)
-
-  createdAt DateTime @default(now())
-  updatedAt DateTime @updatedAt
-
-  submissionDate           DateTime         @default(now())
-  submissionReviewDate     DateTime?
-  submissionStatus         SubmissionStatus @default(PENDING)
-  submissionReviewComments String?
-
-  name        String?
-  description String?
-  author      String?
-
-  keywords   String[]
-  categories String[]
-  search     Unsupported("tsvector")? @default(dbgenerated("''::tsvector"))
-
-  graph            Json
-  AnalyticsTracker AnalyticsTracker[]
-  FeaturedAgent    FeaturedAgent?
-  InstallTracker   InstallTracker[]
-
-  @@id(name: "graphVersionId", [id, version])
-}
-
-model AnalyticsTracker {
-  id        String @id @unique @default(dbgenerated("gen_random_uuid()")) @db.Uuid
-  agentId   String @unique @db.Uuid
-  agent     Agents @relation(fields: [agentId], references: [id], onDelete: Cascade)
-  views     Int
-  downloads Int
-}
-
-enum InstallationLocation {
-  LOCAL
-  CLOUD
-}
-
-model InstallTracker {
-  id                   String               @id @default(dbgenerated("gen_random_uuid()")) @db.Uuid
-  marketplaceAgentId   String               @db.Uuid
-  marketplaceAgent     Agents               @relation(fields: [marketplaceAgentId], references: [id], onDelete: Cascade)
-  installedAgentId     String               @db.Uuid
-  installationLocation InstallationLocation
-  createdAt            DateTime             @default(now())
-
-  @@unique([marketplaceAgentId, installedAgentId])
-}
-
-model FeaturedAgent {
-  id                 String   @id @unique @default(dbgenerated("gen_random_uuid()")) @db.Uuid
-  agentId            String   @unique @db.Uuid
-  agent              Agents   @relation(fields: [agentId], references: [id], onDelete: Cascade)
-  isActive           Boolean  @default(false)
-  featuredCategories String[]
-  createdAt          DateTime @default(now())
-  updatedAt          DateTime @updatedAt
-}
diff --git a/autogpt_platform/market/scripts.py b/autogpt_platform/market/scripts.py
deleted file mode 100644
index 5465007b7b82..000000000000
--- a/autogpt_platform/market/scripts.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import os
-import subprocess
-
-directory = os.path.dirname(os.path.realpath(__file__))
-
-
-def run(*command: str) -> None:
-    print(f">>>>> Running poetry run {' '.join(command)}")
-    subprocess.run(["poetry", "run"] + list(command), cwd=directory, check=True)
-
-
-def lint():
-    try:
-        run("ruff", "check", ".", "--exit-zero")
-        run("isort", "--diff", "--check", "--profile", "black", ".")
-        run("black", "--diff", "--check", ".")
-        run("pyright")
-    except subprocess.CalledProcessError as e:
-        print("Lint failed, try running `poetry run format` to fix the issues: ", e)
-        raise e
-
-
-def populate_database():
-    import glob
-    import json
-    import pathlib
-
-    import requests
-
-    import market.model
-
-    templates = pathlib.Path(__file__).parent.parent / "graph_templates"
-
-    all_files = glob.glob(str(templates / "*.json"))
-
-    for file in all_files:
-        with open(file, "r") as f:
-            data = f.read()
-            req = market.model.AddAgentRequest(
-                graph=json.loads(data),
-                author="Populate DB",
-                categories=["Pre-Populated"],
-                keywords=["test"],
-            )
-            response = requests.post(
-                "http://localhost:8015/api/v1/market/admin/agent", json=req.model_dump()
-            )
-            print(response.text)
-
-
-def format():
-    run("ruff", "check", "--fix", ".")
-    run("isort", "--profile", "black", ".")
-    run("black", ".")
-    run("pyright", ".")
-
-
-def app():
-    port = os.getenv("PORT", "8015")
-    run("uvicorn", "market.app:app", "--reload", "--port", port, "--host", "0.0.0.0")
-
-
-def setup():
-    run("prisma", "generate")
-    run("prisma", "migrate", "deploy")
diff --git a/autogpt_platform/market/tests/test_agents.py b/autogpt_platform/market/tests/test_agents.py
deleted file mode 100644
index bcf9f033f3e4..000000000000
--- a/autogpt_platform/market/tests/test_agents.py
+++ /dev/null
@@ -1,79 +0,0 @@
-from datetime import datetime, timezone
-
-import pytest
-from fastapi.testclient import TestClient
-
-from market.app import app
-from market.db import AgentQueryError
-
-
-@pytest.fixture
-def test_client():
-    return TestClient(app)
-
-
-# Mock data
-mock_agents = [
-    {
-        "id": "1",
-        "name": "Agent 1",
-        "description": "Description 1",
-        "author": "Author 1",
-        "keywords": ["AI", "chatbot"],
-        "categories": ["general"],
-        "version": 1,
-        "createdAt": datetime.now(timezone.utc),
-        "updatedAt": datetime.now(timezone.utc),
-        "graph": {"node1": "value1"},
-    },
-    {
-        "id": "2",
-        "name": "Agent 2",
-        "description": "Description 2",
-        "author": "Author 2",
-        "keywords": ["ML", "NLP"],
-        "categories": ["specialized"],
-        "version": 1,
-        "createdAt": datetime.now(timezone.utc),
-        "updatedAt": datetime.now(timezone.utc),
-        "graph": {"node2": "value2"},
-    },
-]
-
-
-# TODO: Need to mock prisma somehow
-
-
-@pytest.mark.asyncio
-async def test_list_agents(test_client):
-    response = test_client.get("/agents")
-    assert response.status_code == 200
-    data = response.json()
-    assert len(data["agents"]) == 2
-    assert data["total_count"] == 2
-
-
-@pytest.mark.asyncio
-async def test_list_agents_with_filters(test_client):
-    response = await test_client.get("/agents?name=Agent 1&keyword=AI&category=general")
-    assert response.status_code == 200
-    data = response.json()
-    assert len(data["agents"]) == 1
-    assert data["agents"][0]["name"] == "Agent 1"
-
-
-@pytest.mark.asyncio
-async def test_get_agent_details(test_client, mock_get_agent_details):
-    response = await test_client.get("/agents/1")
-    assert response.status_code == 200
-    data = response.json()
-    assert data["id"] == "1"
-    assert data["name"] == "Agent 1"
-    assert "graph" in data
-
-
-@pytest.mark.asyncio
-async def test_get_nonexistent_agent(test_client, mock_get_agent_details):
-    mock_get_agent_details.side_effect = AgentQueryError("Agent not found")
-    response = await test_client.get("/agents/999")
-    assert response.status_code == 404
diff --git a/autogpt_platform/supabase b/autogpt_platform/supabase
deleted file mode 160000
index 4647d50380f2..000000000000
--- a/autogpt_platform/supabase
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 4647d50380f2b7c7ba65611bd9ec474b8d6a4003
diff --git a/classic/benchmark/agbenchmark/challenges/webarena.py b/classic/benchmark/agbenchmark/challenges/webarena.py
index 30957bddc7d5..71568f9677ef 100644
--- a/classic/benchmark/agbenchmark/challenges/webarena.py
+++ b/classic/benchmark/agbenchmark/challenges/webarena.py
@@ -410,7 +410,7 @@ async def test_method(
                 config, timeout, mock=bool(request.config.getoption("--mock"))
             ):
                 if not step.output:
-                    logger.warn(f"Step has no output: {step}")
+                    logger.warning(f"Step has no output: {step}")
                     continue
 
                 n_steps += 1
diff --git a/classic/benchmark/frontend/package.json b/classic/benchmark/frontend/package.json
index ac3ff5bc012c..91083fc32fab 100644
--- a/classic/benchmark/frontend/package.json
+++ b/classic/benchmark/frontend/package.json
@@ -14,7 +14,7 @@
     "@fortawesome/free-solid-svg-icons": "^6.4.2",
     "@fortawesome/react-fontawesome": "^0.2.0",
     "@prisma/client": "^5.1.1",
-    "@t3-oss/env-nextjs": "^0.3.1",
+    "@t3-oss/env-nextjs": "^0.13.8",
     "next": "^13.4.2",
     "react": "18.2.0",
     "react-dom": "18.2.0",
diff --git a/classic/benchmark/poetry.lock b/classic/benchmark/poetry.lock
index 25a63e4481ad..f395bda94270 100644
--- a/classic/benchmark/poetry.lock
+++ b/classic/benchmark/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
 
 [[package]]
 name = "agent-protocol-client"
@@ -6,6 +6,8 @@ version = "1.1.0"
 description = "Agent Communication Protocol Client"
 optional = false
 python-versions = "^3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = []
 develop = false
 
@@ -28,6 +30,8 @@ version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
     {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"},
@@ -124,6 +128,8 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -138,6 +144,8 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -149,6 +157,8 @@ version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
     {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
@@ -171,6 +181,8 @@ version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
     {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
@@ -189,6 +201,8 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
@@ -200,6 +214,8 @@ version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
     {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
@@ -219,6 +235,8 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -265,6 +283,8 @@ version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
     {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
@@ -276,6 +296,8 @@ version = "2023.11.17"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
     {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
@@ -287,6 +309,8 @@ version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "os_name == \"nt\" and implementation_name != \"pypy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
     {file = "cffi-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9"},
@@ -351,6 +375,8 @@ version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -362,6 +388,8 @@ version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
@@ -461,6 +489,8 @@ version = "8.1.7"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
     {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
@@ -475,6 +505,8 @@ version = "1.2.4"
 description = "click_default_group"
 optional = false
 python-versions = ">=2.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click_default_group-1.2.4-py2.py3-none-any.whl", hash = "sha256:9b60486923720e7fc61731bdb32b617039aba820e22e1c88766b1125592eaa5f"},
     {file = "click_default_group-1.2.4.tar.gz", hash = "sha256:eb3f3c99ec0d456ca6cd2a7f08f7d4e91771bef51b01bdd9580cc6450fe1251e"},
@@ -492,6 +524,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -503,6 +537,8 @@ version = "1.2.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "contourpy-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0274c1cb63625972c0c007ab14dd9ba9e199c36ae1a231ce45d725cbcbfd10a8"},
     {file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
@@ -566,6 +602,8 @@ version = "7.5.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coverage-7.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0884920835a033b78d1c73b6d3bbcda8161a900f38a488829a83982925f6c2e"},
     {file = "coverage-7.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:39afcd3d4339329c5f58de48a52f6e4e50f6578dd6099961cf22228feb25f38f"},
@@ -633,6 +671,8 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -648,6 +688,8 @@ version = "5.1.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -659,6 +701,8 @@ version = "0.3.8"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
     {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
@@ -670,6 +714,8 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -681,6 +727,8 @@ version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
     {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
@@ -695,6 +743,8 @@ version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
     {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
@@ -709,6 +759,8 @@ version = "0.109.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fastapi-0.109.2-py3-none-any.whl", hash = "sha256:2c9bab24667293b501cad8dd388c05240c850b58ec5876ee3283c47d6e1e3a4d"},
     {file = "fastapi-0.109.2.tar.gz", hash = "sha256:f3817eac96fe4f65a2ebb4baa000f394e55f5fccdaf7f75250804bc58f354f73"},
@@ -728,6 +780,8 @@ version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
     {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
@@ -744,6 +798,8 @@ version = "7.0.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flake8-7.0.0-py2.py3-none-any.whl", hash = "sha256:a6dfbb75e03252917f2473ea9653f7cd799c3064e54d4c8140044c5c065f53c3"},
     {file = "flake8-7.0.0.tar.gz", hash = "sha256:33f96621059e65eec474169085dc92bf26e7b2d47366b70be2f67ab80dc25132"},
@@ -760,6 +816,8 @@ version = "4.47.2"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3b629108351d25512d4ea1a8393a2dba325b7b7d7308116b605ea3f8e1be88df"},
     {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c19044256c44fe299d9a73456aabee4b4d06c6b930287be93b533b4737d70aa1"},
@@ -825,6 +883,8 @@ version = "1.4.1"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
@@ -911,6 +971,8 @@ version = "4.0.11"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
     {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
@@ -925,6 +987,8 @@ version = "3.1.41"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
     {file = "GitPython-3.1.41.tar.gz", hash = "sha256:ed66e624884f76df22c8e16066d567aaa5a37d5b5fa19db2c6df6f7156db9048"},
@@ -942,6 +1006,8 @@ version = "2.26.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-2.26.2.tar.gz", hash = "sha256:97327dbbf58cccb58fc5a1712bba403ae76668e64814eb30f7316f7e27126b81"},
     {file = "google_auth-2.26.2-py2.py3-none-any.whl", hash = "sha256:3f445c8ce9b61ed6459aad86d8ccdba4a9afed841b2d1451a11ef4db08957424"},
@@ -965,6 +1031,8 @@ version = "1.2.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-oauthlib-1.2.0.tar.gz", hash = "sha256:292d2d3783349f2b0734a0a0207b1e1e322ac193c2c09d8f7c613fb7cc501ea8"},
     {file = "google_auth_oauthlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:297c1ce4cb13a99b5834c74a1fe03252e1e499716718b190f56bcb9c4abc4faf"},
@@ -983,6 +1051,8 @@ version = "5.12.4"
 description = "Google Spreadsheets Python API"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gspread-5.12.4-py3-none-any.whl", hash = "sha256:1e453d87e0fde23bc5546e33eb684cf8b8c26540615f2f1ae004a9084a29051d"},
     {file = "gspread-5.12.4.tar.gz", hash = "sha256:3fcef90183f15d3c9233b4caa021a83682f2b2ee678340c42d7ca7d8be98c6d1"},
@@ -998,6 +1068,8 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -1009,6 +1081,8 @@ version = "0.17.3"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpcore-0.17.3-py3-none-any.whl", hash = "sha256:c2789b767ddddfa2a5782e3199b2b7f6894540b17b16ec26b2c4d8e103510b87"},
     {file = "httpcore-0.17.3.tar.gz", hash = "sha256:a6f30213335e34c1ade7be6ec7c47f19f50c56db36abef1a9dfa3815b1cb3888"},
@@ -1030,6 +1104,8 @@ version = "0.22.0"
 description = "A comprehensive HTTP client library."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
     {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
@@ -1044,6 +1120,8 @@ version = "0.24.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpx-0.24.1-py3-none-any.whl", hash = "sha256:06781eb9ac53cde990577af654bd990a4949de37a28bdb4a230d434f3a30b9bd"},
     {file = "httpx-0.24.1.tar.gz", hash = "sha256:5853a43053df830c20f8110c5e69fe44d035d850b2dfe795e196f00fdb774bdd"},
@@ -1067,6 +1145,8 @@ version = "2.5.33"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "identify-2.5.33-py2.py3-none-any.whl", hash = "sha256:d40ce5fcd762817627670da8a7d8d8e65f24342d14539c59488dc603bf662e34"},
     {file = "identify-2.5.33.tar.gz", hash = "sha256:161558f9fe4559e1557e1bff323e8631f6a0e4837f7497767c1782832f16b62d"},
@@ -1081,6 +1161,8 @@ version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
     {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
@@ -1092,6 +1174,8 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -1103,6 +1187,8 @@ version = "8.20.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ipython-8.20.0-py3-none-any.whl", hash = "sha256:bc9716aad6f29f36c449e30821c9dd0c1c1a7b59ddcc26931685b87b4c569619"},
     {file = "ipython-8.20.0.tar.gz", hash = "sha256:2f21bd3fc1d51550c89ee3944ae04bbc7bc79e129ea0937da6e6c68bfdbf117a"},
@@ -1139,6 +1225,8 @@ version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -1153,6 +1241,8 @@ version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
     {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
@@ -1172,6 +1262,8 @@ version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
     {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
@@ -1189,6 +1281,8 @@ version = "3.0.2"
 description = "Python library for serializing any arbitrary object graph into JSON"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonpickle-3.0.2-py3-none-any.whl", hash = "sha256:4a8442d97ca3f77978afa58068768dba7bff2dbabe79a9647bc3cdafd4ef019f"},
     {file = "jsonpickle-3.0.2.tar.gz", hash = "sha256:e37abba4bfb3ca4a4647d28bb9f4706436f7b46c8a8333b4a718abafa8e46b37"},
@@ -1205,6 +1299,8 @@ version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"},
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"},
@@ -1318,6 +1414,8 @@ version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
@@ -1387,6 +1485,8 @@ version = "3.8.2"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "matplotlib-3.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09796f89fb71a0c0e1e2f4bdaf63fb2cefc84446bb963ecdeb40dfee7dfa98c7"},
     {file = "matplotlib-3.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9c6976748a25e8b9be51ea028df49b8e561eed7809146da7a47dbecebab367"},
@@ -1435,6 +1535,8 @@ version = "0.1.6"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
     {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"},
@@ -1449,6 +1551,8 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -1460,6 +1564,8 @@ version = "6.0.5"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
     {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
@@ -1559,6 +1665,8 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -1570,6 +1678,8 @@ version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
     {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
@@ -1588,6 +1698,8 @@ version = "1.8.0"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
     {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
@@ -1602,6 +1714,8 @@ version = "1.26.3"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf"},
     {file = "numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd"},
@@ -1647,6 +1761,8 @@ version = "4.1.3"
 description = "OAuth 2.0 client library"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oauth2client-4.1.3-py2.py3-none-any.whl", hash = "sha256:b8a81cc5d60e2d364f0b1b98f958dbd472887acaf1a5b05e21c28c31a2d6d3ac"},
     {file = "oauth2client-4.1.3.tar.gz", hash = "sha256:d486741e451287f69568a4d26d70d9acd73a2bbfa275746c535b4209891cccc6"},
@@ -1665,6 +1781,8 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -1681,6 +1799,8 @@ version = "1.7.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "openai-1.7.2-py3-none-any.whl", hash = "sha256:8f41b90a762f5fd9d182b45851041386fed94c8ad240a70abefee61a68e0ef53"},
     {file = "openai-1.7.2.tar.gz", hash = "sha256:c73c78878258b07f1b468b0602c6591f25a1478f49ecb90b9bd44b7cc80bce73"},
@@ -1704,6 +1824,8 @@ version = "1.3.0.post0"
 description = "Capture the outcome of Python function calls."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "outcome-1.3.0.post0-py2.py3-none-any.whl", hash = "sha256:e771c5ce06d1415e356078d3bdd68523f284b4ce5419828922b6871e65eda82b"},
     {file = "outcome-1.3.0.post0.tar.gz", hash = "sha256:9dcf02e65f2971b80047b377468e72a268e15c0af3cf1238e6ff14f7f91143b8"},
@@ -1718,6 +1840,8 @@ version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
     {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
@@ -1729,6 +1853,8 @@ version = "2.1.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pandas-2.1.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdec823dc6ec53f7a6339a0e34c68b144a7a1fd28d80c260534c39c62c5bf8c9"},
     {file = "pandas-2.1.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:294d96cfaf28d688f30c918a765ea2ae2e0e71d3536754f4b6de0ea4a496d034"},
@@ -1797,6 +1923,8 @@ version = "0.8.3"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"},
     {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
@@ -1812,6 +1940,8 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -1823,6 +1953,8 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
@@ -1837,6 +1969,8 @@ version = "10.2.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"},
     {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"},
@@ -1922,6 +2056,8 @@ version = "4.1.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "platformdirs-4.1.0-py3-none-any.whl", hash = "sha256:11c8f37bcca40db96d8144522d925583bdb7a31f7b0e37e3ed4318400a8e2380"},
     {file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
@@ -1937,6 +2073,8 @@ version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
     {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
@@ -1952,6 +2090,8 @@ version = "3.6.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pre_commit-3.6.0-py2.py3-none-any.whl", hash = "sha256:c255039ef399049a5544b6ce13d135caba8f2c28c3b4033277a788f434308376"},
     {file = "pre_commit-3.6.0.tar.gz", hash = "sha256:d30bad9abf165f7785c15a21a1f46da7d0677cb00ee7ff4c579fd38922efe15d"},
@@ -1970,6 +2110,8 @@ version = "3.0.43"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
     {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
@@ -1984,6 +2126,8 @@ version = "5.9.7"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "psutil-5.9.7-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:0bd41bf2d1463dfa535942b2a8f0e958acf6607ac0be52265ab31f7923bcd5e6"},
     {file = "psutil-5.9.7-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:5794944462509e49d4d458f4dbfb92c47539e7d8d15c796f141f474010084056"},
@@ -2012,6 +2156,8 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -2023,6 +2169,8 @@ version = "0.2.2"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
     {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
@@ -2037,6 +2185,8 @@ version = "0.5.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"},
     {file = "pyasn1-0.5.1.tar.gz", hash = "sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c"},
@@ -2048,6 +2198,8 @@ version = "0.3.0"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"},
     {file = "pyasn1_modules-0.3.0.tar.gz", hash = "sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c"},
@@ -2062,6 +2214,8 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -2073,6 +2227,8 @@ version = "2.21"
 description = "C parser in Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "os_name == \"nt\" and implementation_name != \"pypy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
     {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
@@ -2084,6 +2240,8 @@ version = "2.7.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
     {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
@@ -2103,6 +2261,8 @@ version = "2.18.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
     {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
@@ -2194,6 +2354,8 @@ version = "2.3.4"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
     {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
@@ -2213,6 +2375,8 @@ version = "3.2.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
     {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
@@ -2224,6 +2388,8 @@ version = "2.17.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
     {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
@@ -2239,6 +2405,8 @@ version = "3.1.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
     {file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
@@ -2253,6 +2421,8 @@ version = "1.1.366"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyright-1.1.366-py3-none-any.whl", hash = "sha256:c09e73ccc894976bcd6d6a5784aa84d724dbd9ceb7b873b39d475ca61c2de071"},
     {file = "pyright-1.1.366.tar.gz", hash = "sha256:10e4d60be411f6d960cd39b0b58bf2ff76f2c83b9aeb102ffa9d9fda2e1303cb"},
@@ -2271,6 +2441,8 @@ version = "1.7.1"
 description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
     {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
@@ -2283,6 +2455,8 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -2305,6 +2479,8 @@ version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
     {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
@@ -2323,6 +2499,8 @@ version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
     {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
@@ -2341,6 +2519,8 @@ version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
     {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
@@ -2355,6 +2535,8 @@ version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
     {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
@@ -2369,6 +2551,8 @@ version = "0.0.7"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_multipart-0.0.7-py3-none-any.whl", hash = "sha256:b1fef9a53b74c795e2347daac8c54b252d9e0df9c619712691c1cc8021bd3c49"},
     {file = "python_multipart-0.0.7.tar.gz", hash = "sha256:288a6c39b06596c1b988bb6794c6fbc80e6c369e35e5062637df256bee0c9af9"},
@@ -2383,6 +2567,8 @@ version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
     {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
@@ -2394,6 +2580,8 @@ version = "0.3.2"
 description = "A Python network graph visualization library"
 optional = false
 python-versions = ">3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyvis-0.3.2-py3-none-any.whl", hash = "sha256:5720c4ca8161dc5d9ab352015723abb7a8bb8fb443edeb07f7a322db34a97555"},
 ]
@@ -2410,6 +2598,8 @@ version = "6.0.1"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
@@ -2470,6 +2660,8 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -2491,6 +2683,8 @@ version = "1.3.1"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"},
     {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"},
@@ -2509,6 +2703,8 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = ">=3.6,<4"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -2523,6 +2719,8 @@ version = "4.16.0"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "selenium-4.16.0-py3-none-any.whl", hash = "sha256:aec71f4e6ed6cb3ec25c9c1b5ed56ae31b6da0a7f17474c7566d303f84e6219f"},
     {file = "selenium-4.16.0.tar.gz", hash = "sha256:b2e987a445306151f7be0e6dfe2aa72a479c2ac6a91b9d5ef2d6dd4e49ad0435"},
@@ -2540,6 +2738,8 @@ version = "69.0.3"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "setuptools-69.0.3-py3-none-any.whl", hash = "sha256:385eb4edd9c9d5c17540511303e39a147ce2fc04bc55289c322b9e5904fe2c05"},
     {file = "setuptools-69.0.3.tar.gz", hash = "sha256:be1af57fc409f93647f2e8e4573a142ed38724b8cdd389706a867bb4efcf1e78"},
@@ -2556,6 +2756,8 @@ version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -2567,6 +2769,8 @@ version = "5.0.1"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
     {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
@@ -2578,6 +2782,8 @@ version = "1.3.0"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
     {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
@@ -2589,6 +2795,8 @@ version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
     {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
@@ -2600,6 +2808,8 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -2619,6 +2829,8 @@ version = "0.36.3"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"},
     {file = "starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080"},
@@ -2636,6 +2848,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -2650,6 +2864,8 @@ version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -2661,6 +2877,8 @@ version = "2.0.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
@@ -2672,6 +2890,8 @@ version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
     {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
@@ -2692,6 +2912,8 @@ version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
     {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
@@ -2707,6 +2929,8 @@ version = "0.24.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "trio-0.24.0-py3-none-any.whl", hash = "sha256:c3bd3a4e3e3025cd9a2241eae75637c43fe0b9e88b4c97b9161a55b9e54cd72c"},
     {file = "trio-0.24.0.tar.gz", hash = "sha256:ffa09a74a6bf81b84f8613909fb0beaee84757450183a7a2e0b47b455c0cac5d"},
@@ -2727,6 +2951,8 @@ version = "0.11.1"
 description = "WebSocket library for Trio"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
     {file = "trio_websocket-0.11.1-py3-none-any.whl", hash = "sha256:520d046b0d030cf970b8b2b2e00c4c2245b3807853ecd44214acd33d74581638"},
@@ -2743,10 +2969,12 @@ version = "4.9.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
     {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
+markers = {main = "python_version <= \"3.11\" or python_version >= \"3.12\"", dev = "python_version < \"3.11\""}
 
 [[package]]
 name = "tzdata"
@@ -2754,6 +2982,8 @@ version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
     {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
@@ -2765,6 +2995,8 @@ version = "1.26.18"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
     {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
@@ -2784,6 +3016,8 @@ version = "0.23.2"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
     {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
@@ -2803,6 +3037,8 @@ version = "20.25.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
     {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
@@ -2823,6 +3059,8 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -2834,6 +3072,8 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -2848,6 +3088,8 @@ version = "1.9.4"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
     {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
@@ -2946,6 +3188,6 @@ idna = ">=2.0"
 multidict = ">=4.0"
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "^3.10"
 content-hash = "26bd75befe5223095b65be293086edf52f34f9043e49107c80a105dc0387dd6a"
diff --git a/classic/forge/poetry.lock b/classic/forge/poetry.lock
index 023681183d5c..6cabab9f5d32 100644
--- a/classic/forge/poetry.lock
+++ b/classic/forge/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
 
 [[package]]
 name = "agbenchmark"
@@ -6,6 +6,8 @@ version = "0.0.10"
 description = "Benchmarking the performance of agents far and wide, regardless of how they are set up and how they work"
 optional = true
 python-versions = "^3.10"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = []
 develop = false
 
@@ -47,6 +49,8 @@ version = "1.1.0"
 description = "Agent Communication Protocol Client"
 optional = true
 python-versions = "^3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = []
 develop = false
 
@@ -69,6 +73,8 @@ version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
     {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"},
@@ -165,6 +171,8 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -179,6 +187,8 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -190,6 +200,8 @@ version = "0.25.8"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anthropic-0.25.8-py3-none-any.whl", hash = "sha256:c7a0091916eb22a5e0012b725f5492779eedfcad2da8dc906082e1db7596a65c"},
     {file = "anthropic-0.25.8.tar.gz", hash = "sha256:93f6063e96d5dbeaa172edc177762f630e55b2f81595cedb760278b95a2dd03e"},
@@ -214,6 +226,8 @@ version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
     {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
@@ -236,6 +250,8 @@ version = "3.7.2"
 description = "ASGI specs, helper code, and adapters"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
     {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
@@ -253,6 +269,8 @@ version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
     {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
@@ -271,6 +289,8 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
@@ -282,6 +302,8 @@ version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
     {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
@@ -301,6 +323,8 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -312,6 +336,8 @@ version = "4.1.2"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "bcrypt-4.1.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:ac621c093edb28200728a9cca214d7e838529e557027ef0581685909acd28b5e"},
     {file = "bcrypt-4.1.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea505c97a5c465ab8c3ba75c0805a102ce526695cd6818c6de3b1a38f6f60da1"},
@@ -352,6 +378,8 @@ version = "4.12.2"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
     {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
@@ -370,6 +398,8 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -416,6 +446,8 @@ version = "0.7.11"
 description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "blis-0.7.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cd5fba34c5775e4c440d80e4dea8acb40e2d3855b546e07c4e21fad8f972404c"},
     {file = "blis-0.7.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:31273d9086cab9c56986d478e3ed6da6752fa4cdd0f7b5e8e5db30827912d90d"},
@@ -462,6 +494,8 @@ version = "1.34.103"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "boto3-1.34.103-py3-none-any.whl", hash = "sha256:59b6499f1bb423dd99de6566a20d0a7cf1a5476824be3a792290fd86600e8365"},
     {file = "boto3-1.34.103.tar.gz", hash = "sha256:58d097241f3895c4a4c80c9e606689c6e06d77f55f9f53a4cc02dee7e03938b9"},
@@ -481,6 +515,8 @@ version = "1.34.113"
 description = "Type annotations for boto3 1.34.113 generated with mypy-boto3-builder 7.24.0"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "boto3_stubs-1.34.113-py3-none-any.whl", hash = "sha256:14b59f9db03fb19c1cbca5fbef58e70787345ae9db6845a2ec7eb796d43a790c"},
     {file = "boto3_stubs-1.34.113.tar.gz", hash = "sha256:16aaf8d0979cfd65f850536a2ccf4344d00f12638aa377a65b76c00338f35c50"},
@@ -887,6 +923,8 @@ version = "1.34.103"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "botocore-1.34.103-py3-none-any.whl", hash = "sha256:0330d139f18f78d38127e65361859e24ebd6a8bcba184f903c01bb999a3fa431"},
     {file = "botocore-1.34.103.tar.gz", hash = "sha256:5f07e2c7302c0a9f469dcd08b4ddac152e9f5888b12220242c20056255010939"},
@@ -906,6 +944,8 @@ version = "1.34.94"
 description = "Type annotations and code completion for botocore"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "botocore_stubs-1.34.94-py3-none-any.whl", hash = "sha256:b0345f55babd8b901c53804fc5c326a4a0bd2e23e3b71f9ea5d9f7663466e6ba"},
     {file = "botocore_stubs-1.34.94.tar.gz", hash = "sha256:64d80a3467e3b19939e9c2750af33328b3087f8f524998dbdf7ed168227f507d"},
@@ -923,6 +963,8 @@ version = "1.0.3"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">= 3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "build-1.0.3-py3-none-any.whl", hash = "sha256:589bf99a67df7c9cf07ec0ac0e5e2ea5d4b37ac63301c4986d1acb126aa83f8f"},
     {file = "build-1.0.3.tar.gz", hash = "sha256:538aab1b64f9828977f84bc63ae570b060a8ed1be419e7870b8b4fc5e6ea553b"},
@@ -946,6 +988,8 @@ version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
     {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
@@ -957,6 +1001,8 @@ version = "2.0.10"
 description = "Super lightweight function registries for your library"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "catalogue-2.0.10-py3-none-any.whl", hash = "sha256:58c2de0020aa90f4a2da7dfad161bf7b3b054c86a5f09fcedc0b2b740c109a9f"},
     {file = "catalogue-2.0.10.tar.gz", hash = "sha256:4f56daa940913d3f09d589c191c74e5a6d51762b3a9e37dd53b7437afd6cda15"},
@@ -968,6 +1014,8 @@ version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
     {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
@@ -979,6 +1027,8 @@ version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "os_name == \"nt\" and implementation_name != \"pypy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
     {file = "cffi-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9"},
@@ -1043,6 +1093,8 @@ version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -1054,6 +1106,8 @@ version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
@@ -1153,6 +1207,8 @@ version = "0.7.3"
 description = "Chromas fork of hnswlib"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chroma-hnswlib-0.7.3.tar.gz", hash = "sha256:b6137bedde49fffda6af93b0297fe00429fc61e5a072b1ed9377f909ed95a932"},
     {file = "chroma_hnswlib-0.7.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:59d6a7c6f863c67aeb23e79a64001d537060b6995c3eca9a06e349ff7b0998ca"},
@@ -1190,6 +1246,8 @@ version = "0.4.22"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chromadb-0.4.22-py3-none-any.whl", hash = "sha256:ad210b27b4cda2f09d15adc9c83c81bfa66b69f39648a27b637306e40de0680d"},
     {file = "chromadb-0.4.22.tar.gz", hash = "sha256:c793149e1c2bbbb52d77602c6c0594c5752f04cd9be12619250ddad2082af27a"},
@@ -1230,6 +1288,8 @@ version = "8.1.7"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
     {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
@@ -1244,6 +1304,8 @@ version = "1.2.4"
 description = "click_default_group"
 optional = true
 python-versions = ">=2.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "click_default_group-1.2.4-py2.py3-none-any.whl", hash = "sha256:9b60486923720e7fc61731bdb32b617039aba820e22e1c88766b1125592eaa5f"},
     {file = "click_default_group-1.2.4.tar.gz", hash = "sha256:eb3f3c99ec0d456ca6cd2a7f08f7d4e91771bef51b01bdd9580cc6450fe1251e"},
@@ -1261,6 +1323,8 @@ version = "0.16.0"
 description = "pathlib-style classes for cloud storage services."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cloudpathlib-0.16.0-py3-none-any.whl", hash = "sha256:f46267556bf91f03db52b5df7a152548596a15aabca1c8731ef32b0b25a1a6a3"},
     {file = "cloudpathlib-0.16.0.tar.gz", hash = "sha256:cdfcd35d46d529587d744154a0bdf962aca953b725c8784cd2ec478354ea63a3"},
@@ -1281,6 +1345,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -1292,6 +1358,8 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -1309,6 +1377,8 @@ version = "0.1.4"
 description = "The sweetest config system for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "confection-0.1.4-py3-none-any.whl", hash = "sha256:a658818d004939069c3e2b3db74a2cb9d956a5e61a1c9ad61788e0ee09a7090f"},
     {file = "confection-0.1.4.tar.gz", hash = "sha256:e80f22fd008b5231a2e8852fac6de9e28f2276a04031d0536cff74fe4a990c8f"},
@@ -1324,6 +1394,8 @@ version = "1.2.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "contourpy-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0274c1cb63625972c0c007ab14dd9ba9e199c36ae1a231ce45d725cbcbfd10a8"},
     {file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
@@ -1387,6 +1459,8 @@ version = "7.5.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coverage-7.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0884920835a033b78d1c73b6d3bbcda8161a900f38a488829a83982925f6c2e"},
     {file = "coverage-7.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:39afcd3d4339329c5f58de48a52f6e4e50f6578dd6099961cf22228feb25f38f"},
@@ -1454,6 +1528,8 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -1469,6 +1545,8 @@ version = "2.0.8"
 description = "Manage calls to calloc/free through Cython"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cymem-2.0.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:77b5d3a73c41a394efd5913ab7e48512054cd2dabb9582d489535456641c7666"},
     {file = "cymem-2.0.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bd33da892fb560ba85ea14b1528c381ff474048e861accc3366c8b491035a378"},
@@ -1511,6 +1589,8 @@ version = "5.1.1"
 description = "Decorators for Humans"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -1522,6 +1602,8 @@ version = "3.0.6"
 description = "encoder, decoder, and lint/validator for JSON (JavaScript Object Notation) compliant with RFC 7159"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "demjson3-3.0.6.tar.gz", hash = "sha256:37c83b0c6eb08d25defc88df0a2a4875d58a7809a9650bd6eee7afd8053cdbac"},
 ]
@@ -1532,6 +1614,8 @@ version = "1.2.14"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
     {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
@@ -1549,6 +1633,8 @@ version = "0.3.8"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
     {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
@@ -1560,6 +1646,8 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -1571,6 +1659,8 @@ version = "7.0.0"
 description = "A Python library for the Docker Engine API."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"},
     {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"},
@@ -1592,6 +1682,8 @@ version = "6.1.7"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "duckduckgo_search-6.1.7-py3-none-any.whl", hash = "sha256:ec7d5becb8c392c0293ff9464938c1014896e1e14725c05adc306290a636fab2"},
     {file = "duckduckgo_search-6.1.7.tar.gz", hash = "sha256:c6fd8ba17fe9cd0a4f32e5b96984e959c3da865f9c2864bfcf82bf7ff9b7e8f0"},
@@ -1612,6 +1704,8 @@ version = "3.7.1"
 description = "English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "en_core_web_sm-3.7.1-py3-none-any.whl", hash = "sha256:86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889"},
 ]
@@ -1629,6 +1723,8 @@ version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
     {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
@@ -1643,6 +1739,8 @@ version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
     {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
@@ -1657,6 +1755,8 @@ version = "0.109.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fastapi-0.109.2-py3-none-any.whl", hash = "sha256:2c9bab24667293b501cad8dd388c05240c850b58ec5876ee3283c47d6e1e3a4d"},
     {file = "fastapi-0.109.2.tar.gz", hash = "sha256:f3817eac96fe4f65a2ebb4baa000f394e55f5fccdaf7f75250804bc58f354f73"},
@@ -1676,6 +1776,8 @@ version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
     {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
@@ -1692,6 +1794,8 @@ version = "7.0.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flake8-7.0.0-py2.py3-none-any.whl", hash = "sha256:a6dfbb75e03252917f2473ea9653f7cd799c3064e54d4c8140044c5c065f53c3"},
     {file = "flake8-7.0.0.tar.gz", hash = "sha256:33f96621059e65eec474169085dc92bf26e7b2d47366b70be2f67ab80dc25132"},
@@ -1708,6 +1812,8 @@ version = "23.5.26"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
     {file = "flatbuffers-23.5.26.tar.gz", hash = "sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89"},
@@ -1719,6 +1825,8 @@ version = "4.47.2"
 description = "Tools to manipulate font files"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3b629108351d25512d4ea1a8393a2dba325b7b7d7308116b605ea3f8e1be88df"},
     {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c19044256c44fe299d9a73456aabee4b4d06c6b930287be93b533b4737d70aa1"},
@@ -1784,6 +1892,8 @@ version = "1.4.1"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
@@ -1870,6 +1980,8 @@ version = "2023.12.2"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fsspec-2023.12.2-py3-none-any.whl", hash = "sha256:d800d87f72189a745fa3d6b033b9dc4a34ad069f60ca60b943a63599f5501960"},
     {file = "fsspec-2023.12.2.tar.gz", hash = "sha256:8548d39e8810b59c38014934f6b31e57f40c1b20f911f4cc2b85389c7e9bf0cb"},
@@ -1905,6 +2017,8 @@ version = "4.0.11"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
     {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
@@ -1919,6 +2033,8 @@ version = "3.1.41"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
     {file = "GitPython-3.1.41.tar.gz", hash = "sha256:ed66e624884f76df22c8e16066d567aaa5a37d5b5fa19db2c6df6f7156db9048"},
@@ -1936,6 +2052,8 @@ version = "2.15.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-api-core-2.15.0.tar.gz", hash = "sha256:abc978a72658f14a2df1e5e12532effe40f94f868f6e23d95133bd6abcca35ca"},
     {file = "google_api_core-2.15.0-py3-none-any.whl", hash = "sha256:2aa56d2be495551e66bbff7f729b790546f87d5c90e74781aa77233bcb395a8a"},
@@ -1966,6 +2084,8 @@ version = "2.129.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-api-python-client-2.129.0.tar.gz", hash = "sha256:984cc8cc8eb4923468b1926d2b8effc5b459a4dda3c845896eb87c153b28ef84"},
     {file = "google_api_python_client-2.129.0-py2.py3-none-any.whl", hash = "sha256:d50f7e2dfdbb7fc2732f6a0cba1c54d7bb676390679526c6bb628c901e43ec86"},
@@ -1984,6 +2104,8 @@ version = "1.25.0"
 description = "Type stubs for google-api-python-client"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google_api_python_client_stubs-1.25.0-py3-none-any.whl", hash = "sha256:2eff1e27b0b2980843f0ed242e430e29a2f7a2808d7b90e971f23e4ea73827a7"},
     {file = "google_api_python_client_stubs-1.25.0.tar.gz", hash = "sha256:f4d219012afb35e3dfbdcfffcb0b347179045f9f48a8d59ef9d45cc743f300d4"},
@@ -2000,6 +2122,8 @@ version = "2.26.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-2.26.2.tar.gz", hash = "sha256:97327dbbf58cccb58fc5a1712bba403ae76668e64814eb30f7316f7e27126b81"},
     {file = "google_auth-2.26.2-py2.py3-none-any.whl", hash = "sha256:3f445c8ce9b61ed6459aad86d8ccdba4a9afed841b2d1451a11ef4db08957424"},
@@ -2023,6 +2147,8 @@ version = "0.2.0"
 description = "Google Authentication Library: httplib2 transport"
 optional = false
 python-versions = "*"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"},
     {file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"},
@@ -2038,6 +2164,8 @@ version = "1.4.3"
 description = "Google Cloud Appengine Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-appengine-logging-1.4.3.tar.gz", hash = "sha256:fb504e6199fe8de85baa9d31cecf6776877851fe58867de603317ec7cc739987"},
     {file = "google_cloud_appengine_logging-1.4.3-py2.py3-none-any.whl", hash = "sha256:8e30af51d853f219caf29e8b8b342b9ce8214b29f334dafae38d39aaaff7d372"},
@@ -2055,6 +2183,8 @@ version = "0.2.5"
 description = "Google Cloud Audit Protos"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-audit-log-0.2.5.tar.gz", hash = "sha256:86e2faba3383adc8fd04a5bd7fd4f960b3e4aedaa7ed950f2f891ce16902eb6b"},
     {file = "google_cloud_audit_log-0.2.5-py2.py3-none-any.whl", hash = "sha256:18b94d4579002a450b7902cd2e8b8fdcb1ea2dd4df3b41f8f82be6d9f7fcd746"},
@@ -2070,6 +2200,8 @@ version = "2.4.1"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
     {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
@@ -2088,6 +2220,8 @@ version = "3.10.0"
 description = "Stackdriver Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-logging-3.10.0.tar.gz", hash = "sha256:d93d347351240ddb14cfe201987a2d32cf9d7f478b8b2fabed3015b425b3274f"},
     {file = "google_cloud_logging-3.10.0-py2.py3-none-any.whl", hash = "sha256:132192beb45731130a2ffbcd4b2b5cbd87370e7dcfa7397ae4002154f542bd20"},
@@ -2112,6 +2246,8 @@ version = "2.14.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-storage-2.14.0.tar.gz", hash = "sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e"},
     {file = "google_cloud_storage-2.14.0-py2.py3-none-any.whl", hash = "sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd"},
@@ -2134,6 +2270,8 @@ version = "1.5.0"
 description = "A python wrapper of the C library 'Google CRC32C'"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"},
     {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13"},
@@ -2214,6 +2352,8 @@ version = "2.7.0"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">= 3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
     {file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"},
@@ -2232,6 +2372,8 @@ version = "1.62.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "googleapis-common-protos-1.62.0.tar.gz", hash = "sha256:83f0ece9f94e5672cced82f592d2a5edf527a96ed1794f0bab36d5735c996277"},
     {file = "googleapis_common_protos-1.62.0-py2.py3-none-any.whl", hash = "sha256:4750113612205514f9f6aa4cb00d523a94f3e8c06c5ad2fee466387dc4875f07"},
@@ -2250,6 +2392,8 @@ version = "3.0.3"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
 files = [
     {file = "greenlet-3.0.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:9da2bd29ed9e4f15955dd1595ad7bc9320308a3b766ef7f837e23ad4b4aac31a"},
     {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d353cadd6083fdb056bb46ed07e4340b0869c305c8ca54ef9da3421acbdf6881"},
@@ -2321,6 +2465,8 @@ version = "0.8.0"
 description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "groq-0.8.0-py3-none-any.whl", hash = "sha256:f5e4e892d45001241a930db451e633ca1f0007e3f749deaa5d7360062fcd61e3"},
     {file = "groq-0.8.0.tar.gz", hash = "sha256:37ceb2f706bd516d0bfcac8e89048a24b375172987a0d6bd9efb521c54f6deff"},
@@ -2340,6 +2486,8 @@ version = "0.13.0"
 description = "IAM API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"},
     {file = "grpc_google_iam_v1-0.13.0-py2.py3-none-any.whl", hash = "sha256:53902e2af7de8df8c1bd91373d9be55b0743ec267a7428ea638db3775becae89"},
@@ -2356,6 +2504,8 @@ version = "1.60.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-1.60.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:d020cfa595d1f8f5c6b343530cd3ca16ae5aefdd1e832b777f9f0eb105f5b139"},
     {file = "grpcio-1.60.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:b98f43fcdb16172dec5f4b49f2fece4b16a99fd284d81c6bbac1b3b69fcbe0ff"},
@@ -2422,6 +2572,8 @@ version = "1.60.0"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-status-1.60.0.tar.gz", hash = "sha256:f10e0b6db3adc0fdc244b71962814ee982996ef06186446b5695b9fa635aa1ab"},
     {file = "grpcio_status-1.60.0-py3-none-any.whl", hash = "sha256:7d383fa36e59c1e61d380d91350badd4d12ac56e4de2c2b831b050362c3c572e"},
@@ -2438,6 +2590,8 @@ version = "2.5.1"
 description = "gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gTTS-2.5.1-py3-none-any.whl", hash = "sha256:273ec8a5077b25e60ca5a266ed254b54d1f14032b0af3ba00092d14966148664"},
     {file = "gTTS-2.5.1.tar.gz", hash = "sha256:02d0a9874f945dee9cd5092991c60bc88d4b7767b8cd81144b6fb49dc3de6897"},
@@ -2457,6 +2611,8 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -2468,6 +2624,8 @@ version = "0.17.3"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpcore-0.17.3-py3-none-any.whl", hash = "sha256:c2789b767ddddfa2a5782e3199b2b7f6894540b17b16ec26b2c4d8e103510b87"},
     {file = "httpcore-0.17.3.tar.gz", hash = "sha256:a6f30213335e34c1ade7be6ec7c47f19f50c56db36abef1a9dfa3815b1cb3888"},
@@ -2489,6 +2647,8 @@ version = "0.22.0"
 description = "A comprehensive HTTP client library."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
     {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
@@ -2503,6 +2663,8 @@ version = "0.6.1"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2f6c3c4cb1948d912538217838f6e9960bc4a521d7f9b323b3da579cd14532f"},
     {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:00d5d4b68a717765b1fabfd9ca755bd12bf44105eeb806c03d1962acd9b8e563"},
@@ -2551,6 +2713,8 @@ version = "0.24.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpx-0.24.1-py3-none-any.whl", hash = "sha256:06781eb9ac53cde990577af654bd990a4949de37a28bdb4a230d434f3a30b9bd"},
     {file = "httpx-0.24.1.tar.gz", hash = "sha256:5853a43053df830c20f8110c5e69fe44d035d850b2dfe795e196f00fdb774bdd"},
@@ -2574,6 +2738,8 @@ version = "0.20.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "huggingface_hub-0.20.2-py3-none-any.whl", hash = "sha256:53752eda2239d30a470c307a61cf9adcf136bc77b0a734338c7d04941af560d8"},
     {file = "huggingface_hub-0.20.2.tar.gz", hash = "sha256:215c5fceff631030c7a3d19ba7b588921c908b3f21eef31d160ebc245b200ff6"},
@@ -2606,6 +2772,8 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -2620,6 +2788,8 @@ version = "2.5.33"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "identify-2.5.33-py2.py3-none-any.whl", hash = "sha256:d40ce5fcd762817627670da8a7d8d8e65f24342d14539c59488dc603bf662e34"},
     {file = "identify-2.5.33.tar.gz", hash = "sha256:161558f9fe4559e1557e1bff323e8631f6a0e4837f7497767c1782832f16b62d"},
@@ -2634,6 +2804,8 @@ version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
     {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
@@ -2645,6 +2817,8 @@ version = "6.11.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
     {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
@@ -2664,6 +2838,8 @@ version = "6.1.1"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
     {file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
@@ -2679,6 +2855,8 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -2690,6 +2868,8 @@ version = "8.20.0"
 description = "IPython: Productive Interactive Computing"
 optional = true
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "ipython-8.20.0-py3-none-any.whl", hash = "sha256:bc9716aad6f29f36c449e30821c9dd0c1c1a7b59ddcc26931685b87b4c569619"},
     {file = "ipython-8.20.0.tar.gz", hash = "sha256:2f21bd3fc1d51550c89ee3944ae04bbc7bc79e129ea0937da6e6c68bfdbf117a"},
@@ -2726,6 +2906,8 @@ version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -2740,6 +2922,8 @@ version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
     {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
@@ -2759,6 +2943,8 @@ version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
     {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
@@ -2776,6 +2962,8 @@ version = "1.0.1"
 description = "JSON Matching Expressions"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -2787,6 +2975,8 @@ version = "3.0.2"
 description = "Python library for serializing any arbitrary object graph into JSON"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "jsonpickle-3.0.2-py3-none-any.whl", hash = "sha256:4a8442d97ca3f77978afa58068768dba7bff2dbabe79a9647bc3cdafd4ef019f"},
     {file = "jsonpickle-3.0.2.tar.gz", hash = "sha256:e37abba4bfb3ca4a4647d28bb9f4706436f7b46c8a8333b4a718abafa8e46b37"},
@@ -2803,6 +2993,8 @@ version = "4.22.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
     {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
@@ -2824,6 +3016,8 @@ version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
     {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
@@ -2838,6 +3032,8 @@ version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"},
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"},
@@ -2951,6 +3147,8 @@ version = "29.0.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
     {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
@@ -2977,6 +3175,8 @@ version = "3.4.0"
 description = "Tools for labeling human languages with IETF language tags"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "langcodes-3.4.0-py3-none-any.whl", hash = "sha256:10a4cc078b8e8937d8485d3352312a0a89a3125190db9f2bb2074250eef654e9"},
     {file = "langcodes-3.4.0.tar.gz", hash = "sha256:ae5a77d1a01d0d1e91854a671890892b7ce9abb601ab7327fc5c874f899e1979"},
@@ -2995,6 +3195,8 @@ version = "1.2.0"
 description = "Supplementary data about languages used by the langcodes module"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "language_data-1.2.0-py3-none-any.whl", hash = "sha256:77d5cab917f91ee0b2f1aa7018443e911cf8985ef734ca2ba3940770f6a3816b"},
     {file = "language_data-1.2.0.tar.gz", hash = "sha256:82a86050bbd677bfde87d97885b17566cfe75dad3ac4f5ce44b52c28f752e773"},
@@ -3013,6 +3215,8 @@ version = "1.17.9"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = ">=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "litellm-1.17.9-py3-none-any.whl", hash = "sha256:1ef004431eab9d4fd1182bfd0ce996e8381671f7461170a8171941b6c42bd1e6"},
     {file = "litellm-1.17.9.tar.gz", hash = "sha256:19410fca9098fe44cfa1587d3eb9ad52d60c06d1144fe6b7542000b0b3600362"},
@@ -3039,6 +3243,8 @@ version = "5.1.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:704f5572ff473a5f897745abebc6df40f22d4133c1e0a1f124e4f2bd3330ff7e"},
     {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9d3c0f8567ffe7502d969c2c1b809892dc793b5d0665f602aad19895f8d508da"},
@@ -3132,6 +3338,8 @@ version = "1.1.1"
 description = "Static memory-efficient and fast Trie-like structures for Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "marisa_trie-1.1.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:68e48a547b9a1fd64c648684cd375402ba521c2c4a724756a944ef4b88c3047c"},
     {file = "marisa_trie-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:615d7de907919bda16e9cafc1fa74942354273c299bf07e3c0adb2420d6fad48"},
@@ -3235,6 +3443,8 @@ version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
@@ -3304,6 +3514,8 @@ version = "3.8.2"
 description = "Python plotting package"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "matplotlib-3.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09796f89fb71a0c0e1e2f4bdaf63fb2cefc84446bb963ecdeb40dfee7dfa98c7"},
     {file = "matplotlib-3.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9c6976748a25e8b9be51ea028df49b8e561eed7809146da7a47dbecebab367"},
@@ -3352,6 +3564,8 @@ version = "0.1.6"
 description = "Inline Matplotlib backend for Jupyter"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
     {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"},
@@ -3366,6 +3580,8 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -3377,6 +3593,8 @@ version = "4.1.0"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be5ac76a8b0cd8095784e51e4c1c9c318c19edcd1709a06eb14979c8d850c31a"},
     {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:98a49121afdfab67cd80e912b36404139d7deceb6773a83620137aaa0da5714c"},
@@ -3469,6 +3687,8 @@ version = "5.1.0"
 description = "Rolling backport of unittest.mock for all Pythons"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mock-5.1.0-py3-none-any.whl", hash = "sha256:18c694e5ae8a208cdb3d2c20a993ca1a7b0efa258c247a1e565150f477f83744"},
     {file = "mock-5.1.0.tar.gz", hash = "sha256:5e96aad5ccda4718e0a229ed94b2024df75cc2d55575ba5762d31f5767b8767d"},
@@ -3485,6 +3705,8 @@ version = "1.6"
 description = "An implementation of time.monotonic() for Python 2 & < 3.3"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"},
     {file = "monotonic-1.6.tar.gz", hash = "sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7"},
@@ -3496,6 +3718,8 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -3513,6 +3737,8 @@ version = "6.0.5"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
     {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
@@ -3612,6 +3838,8 @@ version = "1.0.10"
 description = "Cython bindings for MurmurHash"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "murmurhash-1.0.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3e90eef568adca5e17a91f96975e9a782ace3a617bbb3f8c8c2d917096e9bfeb"},
     {file = "murmurhash-1.0.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f8ecb00cc1ab57e4b065f9fb3ea923b55160c402d959c69a0b6dbbe8bc73efc3"},
@@ -3654,6 +3882,8 @@ version = "1.34.105"
 description = "Type annotations for boto3.S3 1.34.105 service generated with mypy-boto3-builder 7.24.0"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mypy_boto3_s3-1.34.105-py3-none-any.whl", hash = "sha256:95fbc6bcba2bb03c20a97cc5cf60ff66c6842c8c4fc4183c49bfa35905d5a1ee"},
     {file = "mypy_boto3_s3-1.34.105.tar.gz", hash = "sha256:a137bca9bbe86c0fe35bbf36a2d44ab62526f41bb683550dd6cfbb5a10ede832"},
@@ -3668,6 +3898,8 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -3679,6 +3911,8 @@ version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
     {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
@@ -3697,6 +3931,8 @@ version = "1.8.0"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
     {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
@@ -3711,6 +3947,8 @@ version = "1.26.3"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf"},
     {file = "numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd"},
@@ -3756,6 +3994,8 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -3772,6 +4012,8 @@ version = "1.17.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "onnxruntime-1.17.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d43ac17ac4fa3c9096ad3c0e5255bb41fd134560212dc124e7f52c3159af5d21"},
     {file = "onnxruntime-1.17.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:55b5e92a4c76a23981c998078b9bf6145e4fb0b016321a8274b1607bd3c6bd35"},
@@ -3814,6 +4056,8 @@ version = "1.7.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "openai-1.7.2-py3-none-any.whl", hash = "sha256:8f41b90a762f5fd9d182b45851041386fed94c8ad240a70abefee61a68e0ef53"},
     {file = "openai-1.7.2.tar.gz", hash = "sha256:c73c78878258b07f1b468b0602c6591f25a1478f49ecb90b9bd44b7cc80bce73"},
@@ -3837,6 +4081,8 @@ version = "1.22.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_api-1.22.0-py3-none-any.whl", hash = "sha256:43621514301a7e9f5d06dd8013a1b450f30c2e9372b8e30aaeb4562abf2ce034"},
     {file = "opentelemetry_api-1.22.0.tar.gz", hash = "sha256:15ae4ca925ecf9cfdfb7a709250846fbb08072260fca08ade78056c502b86bed"},
@@ -3852,6 +4098,8 @@ version = "1.22.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_common-1.22.0-py3-none-any.whl", hash = "sha256:3f2538bec5312587f8676c332b3747f54c89fe6364803a807e217af4603201fa"},
     {file = "opentelemetry_exporter_otlp_proto_common-1.22.0.tar.gz", hash = "sha256:71ae2f81bc6d6fe408d06388826edc8933759b2ca3a97d24054507dc7cfce52d"},
@@ -3867,6 +4115,8 @@ version = "1.22.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.22.0-py3-none-any.whl", hash = "sha256:b5bcadc129272004316a455e9081216d3380c1fc2231a928ea6a70aa90e173fb"},
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.22.0.tar.gz", hash = "sha256:1e0e5aa4bbabc74942f06f268deffd94851d12a8dc30b02527472ef1729fe5b1"},
@@ -3891,6 +4141,8 @@ version = "0.43b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation-0.43b0-py3-none-any.whl", hash = "sha256:0ff1334d7e359e27640e9d420024efeb73eacae464309c2e14ede7ba6c93967e"},
     {file = "opentelemetry_instrumentation-0.43b0.tar.gz", hash = "sha256:c3755da6c4be8033be0216d0501e11f4832690f4e2eca5a3576fbf113498f0f6"},
@@ -3907,6 +4159,8 @@ version = "0.43b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation_asgi-0.43b0-py3-none-any.whl", hash = "sha256:1f593829fa039e9367820736fb063e92acd15c25b53d7bcb5d319971b8e93fd7"},
     {file = "opentelemetry_instrumentation_asgi-0.43b0.tar.gz", hash = "sha256:3f6f19333dca31ef696672e4e36cb1c2613c71dc7e847c11ff36a37e1130dadc"},
@@ -3929,6 +4183,8 @@ version = "0.43b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation_fastapi-0.43b0-py3-none-any.whl", hash = "sha256:b79c044df68a52e07b35fa12a424e7cc0dd27ff0a171c5fdcc41dea9de8fc938"},
     {file = "opentelemetry_instrumentation_fastapi-0.43b0.tar.gz", hash = "sha256:2afaaf470622e1a2732182c68f6d2431ffe5e026a7edacd0f83605632b66347f"},
@@ -3951,6 +4207,8 @@ version = "1.22.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_proto-1.22.0-py3-none-any.whl", hash = "sha256:ce7188d22c75b6d0fe53e7fb58501613d0feade5139538e79dedd9420610fa0c"},
     {file = "opentelemetry_proto-1.22.0.tar.gz", hash = "sha256:9ec29169286029f17ca34ec1f3455802ffb90131642d2f545ece9a63e8f69003"},
@@ -3965,6 +4223,8 @@ version = "1.22.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_sdk-1.22.0-py3-none-any.whl", hash = "sha256:a730555713d7c8931657612a88a141e3a4fe6eb5523d9e2d5a8b1e673d76efa6"},
     {file = "opentelemetry_sdk-1.22.0.tar.gz", hash = "sha256:45267ac1f38a431fc2eb5d6e0c0d83afc0b78de57ac345488aa58c28c17991d0"},
@@ -3981,6 +4241,8 @@ version = "0.43b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_semantic_conventions-0.43b0-py3-none-any.whl", hash = "sha256:291284d7c1bf15fdaddf309b3bd6d3b7ce12a253cec6d27144439819a15d8445"},
     {file = "opentelemetry_semantic_conventions-0.43b0.tar.gz", hash = "sha256:b9576fb890df479626fa624e88dde42d3d60b8b6c8ae1152ad157a8b97358635"},
@@ -3992,6 +4254,8 @@ version = "0.43b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_util_http-0.43b0-py3-none-any.whl", hash = "sha256:f25a820784b030f6cb86b3d76e5676c769b75ed3f55a210bcdae0a5e175ebadb"},
     {file = "opentelemetry_util_http-0.43b0.tar.gz", hash = "sha256:3ff6ab361dbe99fc81200d625603c0fb890c055c6e416a3e6d661ddf47a6c7f7"},
@@ -4003,6 +4267,8 @@ version = "3.10.5"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "orjson-3.10.5-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:545d493c1f560d5ccfc134803ceb8955a14c3fcb47bbb4b2fee0232646d0b932"},
     {file = "orjson-3.10.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4324929c2dd917598212bfd554757feca3e5e0fa60da08be11b4aa8b90013c1"},
@@ -4058,6 +4324,8 @@ version = "1.3.0.post0"
 description = "Capture the outcome of Python function calls."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "outcome-1.3.0.post0-py2.py3-none-any.whl", hash = "sha256:e771c5ce06d1415e356078d3bdd68523f284b4ce5419828922b6871e65eda82b"},
     {file = "outcome-1.3.0.post0.tar.gz", hash = "sha256:9dcf02e65f2971b80047b377468e72a268e15c0af3cf1238e6ff14f7f91143b8"},
@@ -4072,6 +4340,8 @@ version = "7.4.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "overrides-7.4.0-py3-none-any.whl", hash = "sha256:3ad24583f86d6d7a49049695efe9933e67ba62f0c7625d53c59fa832ce4b8b7d"},
     {file = "overrides-7.4.0.tar.gz", hash = "sha256:9502a3cca51f4fac40b5feca985b6703a5c1f6ad815588a7ca9e285b9dca6757"},
@@ -4083,6 +4353,8 @@ version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
     {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
@@ -4094,6 +4366,8 @@ version = "2.1.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pandas-2.1.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdec823dc6ec53f7a6339a0e34c68b144a7a1fd28d80c260534c39c62c5bf8c9"},
     {file = "pandas-2.1.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:294d96cfaf28d688f30c918a765ea2ae2e0e71d3536754f4b6de0ea4a496d034"},
@@ -4162,6 +4436,8 @@ version = "0.8.3"
 description = "A Python Parser"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"},
     {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
@@ -4177,6 +4453,8 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -4188,6 +4466,8 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
@@ -4202,6 +4482,8 @@ version = "10.2.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"},
     {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"},
@@ -4287,6 +4569,8 @@ version = "4.1.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "platformdirs-4.1.0-py3-none-any.whl", hash = "sha256:11c8f37bcca40db96d8144522d925583bdb7a31f7b0e37e3ed4318400a8e2380"},
     {file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
@@ -4302,6 +4586,8 @@ version = "1.2.2"
 description = "Pure Python, cross platform, single function module with no dependencies for playing sounds."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "playsound-1.2.2-py2.py3-none-any.whl", hash = "sha256:1e83750a5325cbccee03d6e751ba3e78c037ac95b95a3ba1f38d0c5aca9e1a34"},
 ]
@@ -4312,6 +4598,8 @@ version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
     {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
@@ -4327,6 +4615,8 @@ version = "3.3.1"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "posthog-3.3.1-py2.py3-none-any.whl", hash = "sha256:5f53b232acb680a0389e372db5f786061a18386b8b5324bddcc64eff9fdb319b"},
     {file = "posthog-3.3.1.tar.gz", hash = "sha256:252cb6ab5cbe7ff002753f34fb647721b3af75034b4a5a631317ebf3db58fe59"},
@@ -4350,6 +4640,8 @@ version = "3.6.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pre_commit-3.6.0-py2.py3-none-any.whl", hash = "sha256:c255039ef399049a5544b6ce13d135caba8f2c28c3b4033277a788f434308376"},
     {file = "pre_commit-3.6.0.tar.gz", hash = "sha256:d30bad9abf165f7785c15a21a1f46da7d0677cb00ee7ff4c579fd38922efe15d"},
@@ -4368,6 +4660,8 @@ version = "3.0.9"
 description = "Cython hash table that trusts the keys are pre-hashed"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "preshed-3.0.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4f96ef4caf9847b2bb9868574dcbe2496f974e41c2b83d6621c24fb4c3fc57e3"},
     {file = "preshed-3.0.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a61302cf8bd30568631adcdaf9e6b21d40491bd89ba8ebf67324f98b6c2a2c05"},
@@ -4414,6 +4708,8 @@ version = "3.0.43"
 description = "Library for building powerful interactive command lines in Python"
 optional = true
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
     {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
@@ -4428,6 +4724,8 @@ version = "1.23.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "proto-plus-1.23.0.tar.gz", hash = "sha256:89075171ef11988b3fa157f5dbd8b9cf09d65fffee97e29ce403cd8defba19d2"},
     {file = "proto_plus-1.23.0-py3-none-any.whl", hash = "sha256:a829c79e619e1cf632de091013a4173deed13a55f326ef84f05af6f50ff4c82c"},
@@ -4445,6 +4743,8 @@ version = "4.25.2"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "protobuf-4.25.2-cp310-abi3-win32.whl", hash = "sha256:b50c949608682b12efb0b2717f53256f03636af5f60ac0c1d900df6213910fd6"},
     {file = "protobuf-4.25.2-cp310-abi3-win_amd64.whl", hash = "sha256:8f62574857ee1de9f770baf04dde4165e30b15ad97ba03ceac65f760ff018ac9"},
@@ -4465,6 +4765,8 @@ version = "5.9.7"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "psutil-5.9.7-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:0bd41bf2d1463dfa535942b2a8f0e958acf6607ac0be52265ab31f7923bcd5e6"},
     {file = "psutil-5.9.7-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:5794944462509e49d4d458f4dbfb92c47539e7d8d15c796f141f474010084056"},
@@ -4493,6 +4795,8 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -4504,6 +4808,8 @@ version = "3.4.0"
 description = "Apache Pulsar Python client library"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pulsar_client-3.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ebf99db5244ff69479283b25621b070492acc4bb643d162d86b90387cb6fdb2a"},
     {file = "pulsar_client-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6cb5d8e1482a8aea758633be23717e0c4bb7dc53784e37915c0048c0382f134"},
@@ -4551,6 +4857,8 @@ version = "0.2.2"
 description = "Safely evaluate AST nodes without side effects"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
     {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
@@ -4565,6 +4873,8 @@ version = "0.5.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"},
     {file = "pyasn1-0.5.1.tar.gz", hash = "sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c"},
@@ -4576,6 +4886,8 @@ version = "0.3.0"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"},
     {file = "pyasn1_modules-0.3.0.tar.gz", hash = "sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c"},
@@ -4590,6 +4902,8 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -4601,6 +4915,8 @@ version = "2.21"
 description = "C parser in Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "os_name == \"nt\" and implementation_name != \"pypy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
     {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
@@ -4612,6 +4928,8 @@ version = "2.7.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
     {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
@@ -4631,6 +4949,8 @@ version = "2.18.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
     {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
@@ -4722,6 +5042,8 @@ version = "2.3.4"
 description = "Settings management using Pydantic"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
     {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
@@ -4741,6 +5063,8 @@ version = "3.2.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
     {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
@@ -4752,6 +5076,8 @@ version = "2.17.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
     {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
@@ -4767,6 +5093,8 @@ version = "2.10"
 description = "Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pylatexenc-2.10.tar.gz", hash = "sha256:3dd8fd84eb46dc30bee1e23eaab8d8fb5a7f507347b23e5f38ad9675c84f40d3"},
 ]
@@ -4777,6 +5105,8 @@ version = "3.1.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
     {file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
@@ -4791,6 +5121,8 @@ version = "3.17.4"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pypdf-3.17.4-py3-none-any.whl", hash = "sha256:6aa0f61b33779b64486de3f42835d3668badd48dac4a536aeb87da187a5eacd2"},
     {file = "pypdf-3.17.4.tar.gz", hash = "sha256:ec96e2e4fc9648ac609d19c00d41e9d606e0ae2ce5a0bbe7691426f5f157166a"},
@@ -4809,6 +5141,8 @@ version = "0.48.9"
 description = "A SQL query builder API for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyPika-0.48.9.tar.gz", hash = "sha256:838836a61747e7c8380cd1b7ff638694b7a7335345d0f559b04b2cd832ad5378"},
 ]
@@ -4819,6 +5153,8 @@ version = "1.0.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyproject_hooks-1.0.0-py3-none-any.whl", hash = "sha256:283c11acd6b928d2f6a7c73fa0d01cb2bdc5f07c57a2eeb6e83d5e56b97976f8"},
     {file = "pyproject_hooks-1.0.0.tar.gz", hash = "sha256:f271b298b97f5955d53fb12b72c1fb1948c22c1a6b70b315c54cedaca0264ef5"},
@@ -4833,6 +5169,8 @@ version = "3.4.1"
 description = "A python implementation of GNU readline."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "sys_platform == \"win32\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"},
     {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
@@ -4844,6 +5182,8 @@ version = "0.4.8"
 description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:45cad57afe4e6f56078ed9a7a90d0dc839d19d3e7a70175c80af21017f383bfb"},
     {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1986600253baf38f25fd07b8bdc1903359c26e5d34beb7d7d084845554b5664d"},
@@ -4904,6 +5244,8 @@ version = "1.1.366"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyright-1.1.366-py3-none-any.whl", hash = "sha256:c09e73ccc894976bcd6d6a5784aa84d724dbd9ceb7b873b39d475ca61c2de071"},
     {file = "pyright-1.1.366.tar.gz", hash = "sha256:10e4d60be411f6d960cd39b0b58bf2ff76f2c83b9aeb102ffa9d9fda2e1303cb"},
@@ -4922,6 +5264,8 @@ version = "1.7.1"
 description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
     {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
@@ -4934,6 +5278,8 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -4956,6 +5302,8 @@ version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
     {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
@@ -4974,6 +5322,8 @@ version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
     {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
@@ -4992,6 +5342,8 @@ version = "3.14.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
     {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
@@ -5009,6 +5361,8 @@ version = "0.13.1"
 description = "A pytest plugin that allows you recording of network interactions via VCR.py"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest_recording-0.13.1-py3-none-any.whl", hash = "sha256:e5c75feb2593eb4ed9362182c6640bfe19004204bf9a6082d62c91b5fdb50a3e"},
     {file = "pytest_recording-0.13.1.tar.gz", hash = "sha256:1265d679f39263f115968ec01c2a3bfed250170fd1b0d9e288970b2e4a13737a"},
@@ -5028,6 +5382,8 @@ version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
     {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
@@ -5042,6 +5398,8 @@ version = "1.1.2"
 description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"},
     {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"},
@@ -5057,6 +5415,8 @@ version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
     {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
@@ -5071,6 +5431,8 @@ version = "0.0.7"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_multipart-0.0.7-py3-none-any.whl", hash = "sha256:b1fef9a53b74c795e2347daac8c54b252d9e0df9c619712691c1cc8021bd3c49"},
     {file = "python_multipart-0.0.7.tar.gz", hash = "sha256:288a6c39b06596c1b988bb6794c6fbc80e6c369e35e5062637df256bee0c9af9"},
@@ -5085,6 +5447,8 @@ version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
     {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
@@ -5096,6 +5460,8 @@ version = "0.3.2"
 description = "A Python network graph visualization library"
 optional = true
 python-versions = ">3.6"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pyvis-0.3.2-py3-none-any.whl", hash = "sha256:5720c4ca8161dc5d9ab352015723abb7a8bb8fb443edeb07f7a322db34a97555"},
 ]
@@ -5112,6 +5478,8 @@ version = "306"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\""
 files = [
     {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"},
     {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"},
@@ -5135,6 +5503,8 @@ version = "6.0.1"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
@@ -5195,6 +5565,8 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -5210,6 +5582,8 @@ version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "regex-2023.12.25-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0694219a1d54336fd0445ea382d49d36882415c0134ee1e8332afd1529f0baa5"},
     {file = "regex-2023.12.25-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b014333bd0217ad3d54c143de9d4b9a3ca1c5a29a6d0d554952ea071cff0f1f8"},
@@ -5312,6 +5686,8 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -5333,6 +5709,8 @@ version = "1.3.1"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"},
     {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"},
@@ -5351,6 +5729,8 @@ version = "0.18.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rpds_py-0.18.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:d31dea506d718693b6b2cffc0648a8929bdc51c70a311b2770f09611caa10d53"},
     {file = "rpds_py-0.18.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:732672fbc449bab754e0b15356c077cc31566df874964d4801ab14f71951ea80"},
@@ -5459,6 +5839,8 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = ">=3.6,<4"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -5473,6 +5855,8 @@ version = "0.10.1"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">= 3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "s3transfer-0.10.1-py3-none-any.whl", hash = "sha256:ceb252b11bcf87080fb7850a224fb6e05c8a776bab8f2b64b7f25b969464839d"},
     {file = "s3transfer-0.10.1.tar.gz", hash = "sha256:5683916b4c724f799e600f41dd9e10a9ff19871bf87623cc8f491cb4f5fa0a19"},
@@ -5490,6 +5874,8 @@ version = "4.16.0"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "selenium-4.16.0-py3-none-any.whl", hash = "sha256:aec71f4e6ed6cb3ec25c9c1b5ed56ae31b6da0a7f17474c7566d303f84e6219f"},
     {file = "selenium-4.16.0.tar.gz", hash = "sha256:b2e987a445306151f7be0e6dfe2aa72a479c2ac6a91b9d5ef2d6dd4e49ad0435"},
@@ -5507,6 +5893,8 @@ version = "1.45.0"
 description = "Python client for Sentry (https://sentry.io)"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sentry-sdk-1.45.0.tar.gz", hash = "sha256:509aa9678c0512344ca886281766c2e538682f8acfa50fd8d405f8c417ad0625"},
     {file = "sentry_sdk-1.45.0-py2.py3-none-any.whl", hash = "sha256:1ce29e30240cc289a027011103a8c83885b15ef2f316a60bcc7c5300afa144f1"},
@@ -5554,6 +5942,8 @@ version = "69.0.3"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "setuptools-69.0.3-py3-none-any.whl", hash = "sha256:385eb4edd9c9d5c17540511303e39a147ce2fc04bc55289c322b9e5904fe2c05"},
     {file = "setuptools-69.0.3.tar.gz", hash = "sha256:be1af57fc409f93647f2e8e4573a142ed38724b8cdd389706a867bb4efcf1e78"},
@@ -5570,6 +5960,8 @@ version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -5581,6 +5973,8 @@ version = "6.4.0"
 description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
 optional = false
 python-versions = ">=3.6,<4.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "smart_open-6.4.0-py3-none-any.whl", hash = "sha256:8d3ef7e6997e8e42dd55c74166ed21e6ac70664caa32dd940b26d54a8f6b4142"},
     {file = "smart_open-6.4.0.tar.gz", hash = "sha256:be3c92c246fbe80ebce8fbacb180494a481a77fcdcb7c1aadb2ea5b9c2bee8b9"},
@@ -5602,6 +5996,8 @@ version = "5.0.1"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
     {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
@@ -5613,6 +6009,8 @@ version = "1.3.0"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
     {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
@@ -5624,6 +6022,8 @@ version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
     {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
@@ -5635,6 +6035,8 @@ version = "2.5"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
     {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
@@ -5646,6 +6048,8 @@ version = "3.7.5"
 description = "Industrial-strength Natural Language Processing (NLP) in Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "spacy-3.7.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8002897701429ee2ab5ff6921ae43560f4cd17184cb1e10dad761901c12dcb85"},
     {file = "spacy-3.7.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:43acd19efc845e9126b61a05ed7508a0aff509e96e15563f30f810c19e636b7c"},
@@ -5733,6 +6137,8 @@ version = "3.0.12"
 description = "Legacy registered functions for spaCy backwards compatibility"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "spacy-legacy-3.0.12.tar.gz", hash = "sha256:b37d6e0c9b6e1d7ca1cf5bc7152ab64a4c4671f59c85adaf7a3fcb870357a774"},
     {file = "spacy_legacy-3.0.12-py2.py3-none-any.whl", hash = "sha256:476e3bd0d05f8c339ed60f40986c07387c0a71479245d6d0f4298dbd52cda55f"},
@@ -5744,6 +6150,8 @@ version = "1.0.5"
 description = "Logging utilities for SpaCy"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "spacy-loggers-1.0.5.tar.gz", hash = "sha256:d60b0bdbf915a60e516cc2e653baeff946f0cfc461b452d11a4d5458c6fe5f24"},
     {file = "spacy_loggers-1.0.5-py3-none-any.whl", hash = "sha256:196284c9c446cc0cdb944005384270d775fdeaf4f494d8e269466cfa497ef645"},
@@ -5755,6 +6163,8 @@ version = "2.0.25"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "SQLAlchemy-2.0.25-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4344d059265cc8b1b1be351bfb88749294b87a8b2bbe21dfbe066c4199541ebd"},
     {file = "SQLAlchemy-2.0.25-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9e2e59cbcc6ba1488404aad43de005d05ca56e069477b33ff74e91b6319735"},
@@ -5842,6 +6252,8 @@ version = "2.4.8"
 description = "Modern high-performance serialization utilities for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "srsly-2.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:17f3bcb418bb4cf443ed3d4dcb210e491bd9c1b7b0185e6ab10b6af3271e63b2"},
     {file = "srsly-2.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0b070a58e21ab0e878fd949f932385abb4c53dd0acb6d3a7ee75d95d447bc609"},
@@ -5888,6 +6300,8 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -5907,6 +6321,8 @@ version = "0.36.3"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"},
     {file = "starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080"},
@@ -5924,6 +6340,8 @@ version = "1.12"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
     {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
@@ -5938,6 +6356,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -5952,6 +6372,8 @@ version = "8.2.3"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
     {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
@@ -5966,6 +6388,8 @@ version = "8.2.3"
 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "thinc-8.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:27950dc8a14e1ead09dec329ad98edf1b8f7cc71ec9d5ce5f301073de9d7dadf"},
     {file = "thinc-8.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fce09571619f344983f915f5deb5b8346304b56d3a9ae1bc5ac8c5872eee0738"},
@@ -6048,6 +6472,8 @@ version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"},
@@ -6100,6 +6526,8 @@ version = "0.15.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tokenizers-0.15.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:cd3cd0299aaa312cd2988957598f80becd04d5a07338741eca076057a2b37d6e"},
     {file = "tokenizers-0.15.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a922c492c721744ee175f15b91704be2d305569d25f0547c77cd6c9f210f9dc"},
@@ -6215,6 +6643,8 @@ version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -6226,6 +6656,8 @@ version = "2.0.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
@@ -6237,6 +6669,8 @@ version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
     {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
@@ -6257,6 +6691,8 @@ version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
     {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
@@ -6272,6 +6708,8 @@ version = "0.24.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "trio-0.24.0-py3-none-any.whl", hash = "sha256:c3bd3a4e3e3025cd9a2241eae75637c43fe0b9e88b4c97b9161a55b9e54cd72c"},
     {file = "trio-0.24.0.tar.gz", hash = "sha256:ffa09a74a6bf81b84f8613909fb0beaee84757450183a7a2e0b47b455c0cac5d"},
@@ -6292,6 +6730,8 @@ version = "0.11.1"
 description = "WebSocket library for Trio"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
     {file = "trio_websocket-0.11.1-py3-none-any.whl", hash = "sha256:520d046b0d030cf970b8b2b2e00c4c2245b3807853ecd44214acd33d74581638"},
@@ -6308,6 +6748,8 @@ version = "0.9.0"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
     {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
@@ -6329,6 +6771,8 @@ version = "0.20.9"
 description = "Type annotations and code completion for awscrt"
 optional = false
 python-versions = "<4.0,>=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types_awscrt-0.20.9-py3-none-any.whl", hash = "sha256:3ae374b553e7228ba41a528cf42bd0b2ad7303d806c73eff4aaaac1515e3ea4e"},
     {file = "types_awscrt-0.20.9.tar.gz", hash = "sha256:64898a2f4a2468f66233cb8c29c5f66de907cf80ba1ef5bb1359aef2f81bb521"},
@@ -6340,6 +6784,8 @@ version = "4.12.0.20240511"
 description = "Typing stubs for beautifulsoup4"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-beautifulsoup4-4.12.0.20240511.tar.gz", hash = "sha256:004f6096fdd83b19cdbf6cb10e4eae57b10205eccc365d0a69d77da836012e28"},
     {file = "types_beautifulsoup4-4.12.0.20240511-py3-none-any.whl", hash = "sha256:7ceda66a93ba28d759d5046d7fec9f4cad2f563a77b3a789efc90bcadafeefd1"},
@@ -6354,6 +6800,8 @@ version = "1.1.11.20240228"
 description = "Typing stubs for html5lib"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-html5lib-1.1.11.20240228.tar.gz", hash = "sha256:22736b7299e605ec4ba539d48691e905fd0c61c3ea610acc59922232dc84cede"},
     {file = "types_html5lib-1.1.11.20240228-py3-none-any.whl", hash = "sha256:af5de0125cb0fe5667543b158db83849b22e25c0e36c9149836b095548bf1020"},
@@ -6365,6 +6813,8 @@ version = "0.22.0.20240310"
 description = "Typing stubs for httplib2"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-httplib2-0.22.0.20240310.tar.gz", hash = "sha256:1eda99fea18ec8a1dc1a725ead35b889d0836fec1b11ae6f1fe05440724c1d15"},
     {file = "types_httplib2-0.22.0.20240310-py3-none-any.whl", hash = "sha256:8cd706fc81f0da32789a4373a28df6f39e9d5657d1281db4d2fd22ee29e83661"},
@@ -6376,6 +6826,8 @@ version = "10.2.0.20240520"
 description = "Typing stubs for Pillow"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-Pillow-10.2.0.20240520.tar.gz", hash = "sha256:130b979195465fa1e1676d8e81c9c7c30319e8e95b12fae945e8f0d525213107"},
     {file = "types_Pillow-10.2.0.20240520-py3-none-any.whl", hash = "sha256:33c36494b380e2a269bb742181bea5d9b00820367822dbd3760f07210a1da23d"},
@@ -6387,6 +6839,8 @@ version = "2.31.0.6"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-requests-2.31.0.6.tar.gz", hash = "sha256:cd74ce3b53c461f1228a9b783929ac73a666658f223e28ed29753771477b3bd0"},
     {file = "types_requests-2.31.0.6-py3-none-any.whl", hash = "sha256:a2db9cb228a81da8348b49ad6db3f5519452dd20a9c1e1a868c83c5fe88fd1a9"},
@@ -6401,6 +6855,8 @@ version = "0.10.1"
 description = "Type annotations and code completion for s3transfer"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types_s3transfer-0.10.1-py3-none-any.whl", hash = "sha256:49a7c81fa609ac1532f8de3756e64b58afcecad8767933310228002ec7adff74"},
     {file = "types_s3transfer-0.10.1.tar.gz", hash = "sha256:02154cce46528287ad76ad1a0153840e0492239a0887e8833466eccf84b98da0"},
@@ -6412,6 +6868,8 @@ version = "1.26.25.14"
 description = "Typing stubs for urllib3"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
     {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
@@ -6423,6 +6881,8 @@ version = "4.9.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
     {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
@@ -6434,6 +6894,8 @@ version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
     {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
@@ -6445,6 +6907,8 @@ version = "4.1.1"
 description = "Implementation of RFC 6570 URI Templates"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
     {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
@@ -6456,6 +6920,8 @@ version = "1.26.18"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
     {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
@@ -6475,6 +6941,8 @@ version = "0.23.2"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
     {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
@@ -6501,6 +6969,8 @@ version = "0.19.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:de4313d7f575474c8f5a12e163f6d89c0a878bc49219641d49e6f1444369a90e"},
     {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5588bd21cf1fcf06bded085f37e43ce0e00424197e7c10e77afd4bbefffef428"},
@@ -6545,6 +7015,8 @@ version = "5.1.0"
 description = "Automatically mock your HTTP interactions to simplify and speed up testing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = []
 develop = false
 
@@ -6565,6 +7037,8 @@ version = "20.25.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
     {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
@@ -6585,6 +7059,8 @@ version = "1.1.2"
 description = "A lightweight console printing and formatting toolkit"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wasabi-1.1.2-py3-none-any.whl", hash = "sha256:0a3f933c4bf0ed3f93071132c1b87549733256d6c8de6473c5f7ed2e171b5cf9"},
     {file = "wasabi-1.1.2.tar.gz", hash = "sha256:1aaef3aceaa32edb9c91330d29d3936c0c39fdb965743549c173cb54b16c30b5"},
@@ -6599,6 +7075,8 @@ version = "4.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "watchdog-4.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:39cb34b1f1afbf23e9562501673e7146777efe95da24fab5707b88f7fb11649b"},
     {file = "watchdog-4.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c522392acc5e962bcac3b22b9592493ffd06d1fc5d755954e6be9f4990de932b"},
@@ -6640,6 +7118,8 @@ version = "0.21.0"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "watchfiles-0.21.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:27b4035013f1ea49c6c0b42d983133b136637a527e48c132d368eb19bf1ac6aa"},
     {file = "watchfiles-0.21.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c81818595eff6e92535ff32825f31c116f867f64ff8cdf6562cd1d6b2e1e8f3e"},
@@ -6727,6 +7207,8 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -6738,6 +7220,8 @@ version = "0.3.4"
 description = "Weasel: A small and easy workflow system"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "weasel-0.3.4-py3-none-any.whl", hash = "sha256:ee48a944f051d007201c2ea1661d0c41035028c5d5a8bcb29a0b10f1100206ae"},
     {file = "weasel-0.3.4.tar.gz", hash = "sha256:eb16f92dc9f1a3ffa89c165e3a9acd28018ebb656e0da4da02c0d7d8ae3f6178"},
@@ -6760,6 +7244,8 @@ version = "4.0.2"
 description = "Library provides the way to automatically manage drivers for different browsers"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "webdriver_manager-4.0.2-py2.py3-none-any.whl", hash = "sha256:75908d92ecc45ff2b9953614459c633db8f9aa1ff30181cefe8696e312908129"},
     {file = "webdriver_manager-4.0.2.tar.gz", hash = "sha256:efedf428f92fd6d5c924a0d054e6d1322dd77aab790e834ee767af392b35590f"},
@@ -6776,6 +7262,8 @@ version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
     {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
@@ -6792,6 +7280,8 @@ version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"},
     {file = "websockets-12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2d225bb6886591b1746b17c0573e29804619c8f755b5598d875bb4235ea639be"},
@@ -6873,6 +7363,8 @@ version = "1.16.0"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wrapt-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4"},
     {file = "wrapt-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020"},
@@ -6952,6 +7444,8 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -6966,6 +7460,8 @@ version = "1.9.4"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
     {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
@@ -7069,6 +7565,8 @@ version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
     {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
@@ -7082,6 +7580,6 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 benchmark = ["agbenchmark"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "^3.10"
 content-hash = "98943987dbafb450c36d64f462032014183db6b5047f44945bfb63557f64204c"
diff --git a/classic/original_autogpt/poetry.lock b/classic/original_autogpt/poetry.lock
index 7616b9694440..c9375db5bed8 100644
--- a/classic/original_autogpt/poetry.lock
+++ b/classic/original_autogpt/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
 
 [[package]]
 name = "agbenchmark"
@@ -6,6 +6,8 @@ version = "0.0.10"
 description = "Benchmarking the performance of agents far and wide, regardless of how they are set up and how they work"
 optional = true
 python-versions = "^3.10"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = []
 develop = false
 
@@ -47,6 +49,8 @@ version = "1.1.0"
 description = "Agent Communication Protocol Client"
 optional = true
 python-versions = "^3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = []
 develop = false
 
@@ -69,6 +73,8 @@ version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
     {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"},
@@ -165,6 +171,8 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -179,6 +187,8 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -190,6 +200,8 @@ version = "0.25.1"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anthropic-0.25.1-py3-none-any.whl", hash = "sha256:95d0cedc2a4b5beae3a78f9030aea4001caea5f46c6d263cce377c891c594e71"},
     {file = "anthropic-0.25.1.tar.gz", hash = "sha256:0c01b30b77d041a8d07c532737bae69da58086031217150008e4541f52a64bd9"},
@@ -214,6 +226,8 @@ version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
     {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
@@ -236,6 +250,8 @@ version = "3.7.2"
 description = "ASGI specs, helper code, and adapters"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
     {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
@@ -253,6 +269,8 @@ version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
     {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
@@ -271,6 +289,8 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
@@ -282,6 +302,8 @@ version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
     {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
@@ -301,6 +323,8 @@ version = "0.2.0"
 description = ""
 optional = false
 python-versions = "^3.10"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = []
 develop = true
 
@@ -363,6 +387,8 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -374,6 +400,8 @@ version = "4.1.2"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "bcrypt-4.1.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:ac621c093edb28200728a9cca214d7e838529e557027ef0581685909acd28b5e"},
     {file = "bcrypt-4.1.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea505c97a5c465ab8c3ba75c0805a102ce526695cd6818c6de3b1a38f6f60da1"},
@@ -414,6 +442,8 @@ version = "4.12.2"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
     {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
@@ -432,6 +462,8 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -478,6 +510,8 @@ version = "0.7.11"
 description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "blis-0.7.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cd5fba34c5775e4c440d80e4dea8acb40e2d3855b546e07c4e21fad8f972404c"},
     {file = "blis-0.7.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:31273d9086cab9c56986d478e3ed6da6752fa4cdd0f7b5e8e5db30827912d90d"},
@@ -524,6 +558,8 @@ version = "1.34.20"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">= 3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "boto3-1.34.20-py3-none-any.whl", hash = "sha256:a21da54634bd09dcad9e80d106512b6aabe493b1d4260688180156ef27afedc9"},
     {file = "boto3-1.34.20.tar.gz", hash = "sha256:7f662b0c833e7a4d1272b7ec60ded3f14affd54d08620b708ba3abeb0e49d15e"},
@@ -543,6 +579,8 @@ version = "1.34.20"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">= 3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "botocore-1.34.20-py3-none-any.whl", hash = "sha256:f931f13d03e94b3350ad898b21ae2d40240f6571e8a8cdaa487951b51fe3a1fd"},
     {file = "botocore-1.34.20.tar.gz", hash = "sha256:e944bc085222a13359933f4c0a1cce228bdd8aa90e1f2274e94bd55f561db307"},
@@ -562,6 +600,8 @@ version = "1.0.3"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">= 3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "build-1.0.3-py3-none-any.whl", hash = "sha256:589bf99a67df7c9cf07ec0ac0e5e2ea5d4b37ac63301c4986d1acb126aa83f8f"},
     {file = "build-1.0.3.tar.gz", hash = "sha256:538aab1b64f9828977f84bc63ae570b060a8ed1be419e7870b8b4fc5e6ea553b"},
@@ -585,6 +625,8 @@ version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
     {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
@@ -596,6 +638,8 @@ version = "2.0.10"
 description = "Super lightweight function registries for your library"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "catalogue-2.0.10-py3-none-any.whl", hash = "sha256:58c2de0020aa90f4a2da7dfad161bf7b3b054c86a5f09fcedc0b2b740c109a9f"},
     {file = "catalogue-2.0.10.tar.gz", hash = "sha256:4f56daa940913d3f09d589c191c74e5a6d51762b3a9e37dd53b7437afd6cda15"},
@@ -607,6 +651,8 @@ version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
     {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
@@ -618,6 +664,8 @@ version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "os_name == \"nt\" and implementation_name != \"pypy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
     {file = "cffi-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9"},
@@ -682,6 +730,8 @@ version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -693,6 +743,8 @@ version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
@@ -792,6 +844,8 @@ version = "0.7.3"
 description = "Chromas fork of hnswlib"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chroma-hnswlib-0.7.3.tar.gz", hash = "sha256:b6137bedde49fffda6af93b0297fe00429fc61e5a072b1ed9377f909ed95a932"},
     {file = "chroma_hnswlib-0.7.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:59d6a7c6f863c67aeb23e79a64001d537060b6995c3eca9a06e349ff7b0998ca"},
@@ -829,6 +883,8 @@ version = "0.4.22"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "chromadb-0.4.22-py3-none-any.whl", hash = "sha256:ad210b27b4cda2f09d15adc9c83c81bfa66b69f39648a27b637306e40de0680d"},
     {file = "chromadb-0.4.22.tar.gz", hash = "sha256:c793149e1c2bbbb52d77602c6c0594c5752f04cd9be12619250ddad2082af27a"},
@@ -869,6 +925,8 @@ version = "8.1.7"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
     {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
@@ -883,6 +941,8 @@ version = "1.2.4"
 description = "click_default_group"
 optional = true
 python-versions = ">=2.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "click_default_group-1.2.4-py2.py3-none-any.whl", hash = "sha256:9b60486923720e7fc61731bdb32b617039aba820e22e1c88766b1125592eaa5f"},
     {file = "click_default_group-1.2.4.tar.gz", hash = "sha256:eb3f3c99ec0d456ca6cd2a7f08f7d4e91771bef51b01bdd9580cc6450fe1251e"},
@@ -900,6 +960,8 @@ version = "0.16.0"
 description = "pathlib-style classes for cloud storage services."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cloudpathlib-0.16.0-py3-none-any.whl", hash = "sha256:f46267556bf91f03db52b5df7a152548596a15aabca1c8731ef32b0b25a1a6a3"},
     {file = "cloudpathlib-0.16.0.tar.gz", hash = "sha256:cdfcd35d46d529587d744154a0bdf962aca953b725c8784cd2ec478354ea63a3"},
@@ -920,6 +982,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -931,6 +995,8 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -948,6 +1014,8 @@ version = "0.1.4"
 description = "The sweetest config system for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "confection-0.1.4-py3-none-any.whl", hash = "sha256:a658818d004939069c3e2b3db74a2cb9d956a5e61a1c9ad61788e0ee09a7090f"},
     {file = "confection-0.1.4.tar.gz", hash = "sha256:e80f22fd008b5231a2e8852fac6de9e28f2276a04031d0536cff74fe4a990c8f"},
@@ -963,6 +1031,8 @@ version = "1.2.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "contourpy-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0274c1cb63625972c0c007ab14dd9ba9e199c36ae1a231ce45d725cbcbfd10a8"},
     {file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
@@ -1026,6 +1096,8 @@ version = "7.4.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "coverage-7.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:36b0ea8ab20d6a7564e89cb6135920bc9188fb5f1f7152e94e8300b7b189441a"},
     {file = "coverage-7.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0676cd0ba581e514b7f726495ea75aba3eb20899d824636c6f59b0ed2f88c471"},
@@ -1093,6 +1165,8 @@ version = "7.1.1"
 description = "Create standalone executables from Python scripts"
 optional = false
 python-versions = ">=3.8"
+groups = ["build"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = []
 develop = true
 
@@ -1122,6 +1196,8 @@ version = "3.2.0"
 description = "Python and C interfaces for logging"
 optional = false
 python-versions = ">=3.8"
+groups = ["build"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\""
 files = [
     {file = "cx_Logging-3.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d40c1a4dcd54eff3335f34a2f9af9e29f29b45441fa99f90d6710ffae130a826"},
     {file = "cx_Logging-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:705c1baf94ac49ba7bc807deeef18e1613b27ebdfacb15ab5702ec07f5f04446"},
@@ -1152,6 +1228,8 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -1167,6 +1245,8 @@ version = "2.0.8"
 description = "Manage calls to calloc/free through Cython"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "cymem-2.0.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:77b5d3a73c41a394efd5913ab7e48512054cd2dabb9582d489535456641c7666"},
     {file = "cymem-2.0.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bd33da892fb560ba85ea14b1528c381ff474048e861accc3366c8b491035a378"},
@@ -1209,6 +1289,8 @@ version = "5.1.1"
 description = "Decorators for Humans"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -1220,6 +1302,8 @@ version = "3.0.6"
 description = "encoder, decoder, and lint/validator for JSON (JavaScript Object Notation) compliant with RFC 7159"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "demjson3-3.0.6.tar.gz", hash = "sha256:37c83b0c6eb08d25defc88df0a2a4875d58a7809a9650bd6eee7afd8053cdbac"},
 ]
@@ -1230,6 +1314,8 @@ version = "1.2.14"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
     {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
@@ -1247,6 +1333,8 @@ version = "0.3.8"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
     {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
@@ -1258,6 +1346,8 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -1269,6 +1359,8 @@ version = "1.6.1"
 description = "macOS command line utility to build disk images"
 optional = false
 python-versions = ">=3.7"
+groups = ["build"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"darwin\""
 files = [
     {file = "dmgbuild-1.6.1-py3-none-any.whl", hash = "sha256:45dba6af4a64872c6a91eb335ebeaf5e1f4f4f39c89fd77cf40e841bd1226166"},
     {file = "dmgbuild-1.6.1.tar.gz", hash = "sha256:7ced2603d684e29c22b4cd507d1e15a1907e91b86259924b8cfe480d80553b43"},
@@ -1290,6 +1382,8 @@ version = "7.0.0"
 description = "A Python library for the Docker Engine API."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"},
     {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"},
@@ -1311,6 +1405,8 @@ version = "1.3.1"
 description = "Manipulate Finder .DS_Store files from Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["build"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"darwin\""
 files = [
     {file = "ds_store-1.3.1-py3-none-any.whl", hash = "sha256:fbacbb0bd5193ab3e66e5a47fff63619f15e374ffbec8ae29744251a6c8f05b5"},
     {file = "ds_store-1.3.1.tar.gz", hash = "sha256:c27d413caf13c19acb85d75da4752673f1f38267f9eb6ba81b3b5aa99c2d207c"},
@@ -1330,6 +1426,8 @@ version = "6.1.7"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "duckduckgo_search-6.1.7-py3-none-any.whl", hash = "sha256:ec7d5becb8c392c0293ff9464938c1014896e1e14725c05adc306290a636fab2"},
     {file = "duckduckgo_search-6.1.7.tar.gz", hash = "sha256:c6fd8ba17fe9cd0a4f32e5b96984e959c3da865f9c2864bfcf82bf7ff9b7e8f0"},
@@ -1350,6 +1448,8 @@ version = "3.7.1"
 description = "English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "en_core_web_sm-3.7.1-py3-none-any.whl", hash = "sha256:86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889"},
 ]
@@ -1367,6 +1467,8 @@ version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
     {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
@@ -1381,6 +1483,8 @@ version = "2.0.2"
 description = "execnet: rapid multi-Python deployment"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "execnet-2.0.2-py3-none-any.whl", hash = "sha256:88256416ae766bc9e8895c76a87928c0012183da3cc4fc18016e6f050e025f41"},
     {file = "execnet-2.0.2.tar.gz", hash = "sha256:cc59bc4423742fd71ad227122eb0dd44db51efb3dc4095b45ac9a08c770096af"},
@@ -1395,6 +1499,8 @@ version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
     {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
@@ -1409,6 +1515,8 @@ version = "0.109.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fastapi-0.109.2-py3-none-any.whl", hash = "sha256:2c9bab24667293b501cad8dd388c05240c850b58ec5876ee3283c47d6e1e3a4d"},
     {file = "fastapi-0.109.2.tar.gz", hash = "sha256:f3817eac96fe4f65a2ebb4baa000f394e55f5fccdaf7f75250804bc58f354f73"},
@@ -1428,10 +1536,12 @@ version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "build", "dev"]
 files = [
     {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
     {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
 ]
+markers = {main = "python_version <= \"3.11\" or python_version >= \"3.12\"", build = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"linux\"", dev = "python_version <= \"3.11\" or python_version >= \"3.12\""}
 
 [package.extras]
 docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
@@ -1444,6 +1554,8 @@ version = "7.0.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flake8-7.0.0-py2.py3-none-any.whl", hash = "sha256:a6dfbb75e03252917f2473ea9653f7cd799c3064e54d4c8140044c5c065f53c3"},
     {file = "flake8-7.0.0.tar.gz", hash = "sha256:33f96621059e65eec474169085dc92bf26e7b2d47366b70be2f67ab80dc25132"},
@@ -1460,6 +1572,8 @@ version = "23.5.26"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
     {file = "flatbuffers-23.5.26.tar.gz", hash = "sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89"},
@@ -1471,6 +1585,8 @@ version = "4.47.2"
 description = "Tools to manipulate font files"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3b629108351d25512d4ea1a8393a2dba325b7b7d7308116b605ea3f8e1be88df"},
     {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c19044256c44fe299d9a73456aabee4b4d06c6b930287be93b533b4737d70aa1"},
@@ -1536,6 +1652,8 @@ version = "1.4.1"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
@@ -1622,6 +1740,8 @@ version = "2023.12.2"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "fsspec-2023.12.2-py3-none-any.whl", hash = "sha256:d800d87f72189a745fa3d6b033b9dc4a34ad069f60ca60b943a63599f5501960"},
     {file = "fsspec-2023.12.2.tar.gz", hash = "sha256:8548d39e8810b59c38014934f6b31e57f40c1b20f911f4cc2b85389c7e9bf0cb"},
@@ -1657,6 +1777,8 @@ version = "4.0.11"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
     {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
@@ -1671,6 +1793,8 @@ version = "3.1.41"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
     {file = "GitPython-3.1.41.tar.gz", hash = "sha256:ed66e624884f76df22c8e16066d567aaa5a37d5b5fa19db2c6df6f7156db9048"},
@@ -1688,6 +1812,8 @@ version = "2.15.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-api-core-2.15.0.tar.gz", hash = "sha256:abc978a72658f14a2df1e5e12532effe40f94f868f6e23d95133bd6abcca35ca"},
     {file = "google_api_core-2.15.0-py3-none-any.whl", hash = "sha256:2aa56d2be495551e66bbff7f729b790546f87d5c90e74781aa77233bcb395a8a"},
@@ -1718,6 +1844,8 @@ version = "2.136.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-api-python-client-2.136.0.tar.gz", hash = "sha256:161c722c8864e7ed39393e2b7eea76ef4e1c933a6a59f9d7c70409b6635f225d"},
     {file = "google_api_python_client-2.136.0-py2.py3-none-any.whl", hash = "sha256:5a554c8b5edf0a609b905d89d7ced82e8f6ac31da1e4d8d5684ef63dbc0e49f5"},
@@ -1736,6 +1864,8 @@ version = "2.26.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-2.26.2.tar.gz", hash = "sha256:97327dbbf58cccb58fc5a1712bba403ae76668e64814eb30f7316f7e27126b81"},
     {file = "google_auth-2.26.2-py2.py3-none-any.whl", hash = "sha256:3f445c8ce9b61ed6459aad86d8ccdba4a9afed841b2d1451a11ef4db08957424"},
@@ -1759,6 +1889,8 @@ version = "0.2.0"
 description = "Google Authentication Library: httplib2 transport"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"},
     {file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"},
@@ -1774,6 +1906,8 @@ version = "1.4.0"
 description = "Google Cloud Appengine Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-appengine-logging-1.4.0.tar.gz", hash = "sha256:fe74f418d0b01ebebe83ae212abf051ad42692a636677e397de3d459e00d7b64"},
     {file = "google_cloud_appengine_logging-1.4.0-py2.py3-none-any.whl", hash = "sha256:226721903a2d50b6e51c43e59edb548c0bb08cc5f70e1a5f289d3edf2f09a8c9"},
@@ -1790,6 +1924,8 @@ version = "0.2.5"
 description = "Google Cloud Audit Protos"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-audit-log-0.2.5.tar.gz", hash = "sha256:86e2faba3383adc8fd04a5bd7fd4f960b3e4aedaa7ed950f2f891ce16902eb6b"},
     {file = "google_cloud_audit_log-0.2.5-py2.py3-none-any.whl", hash = "sha256:18b94d4579002a450b7902cd2e8b8fdcb1ea2dd4df3b41f8f82be6d9f7fcd746"},
@@ -1805,6 +1941,8 @@ version = "2.4.1"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
     {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
@@ -1823,6 +1961,8 @@ version = "3.9.0"
 description = "Stackdriver Logging API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-logging-3.9.0.tar.gz", hash = "sha256:4decb1b0bed4a0e3c0e58a376646e6002d6be7cad039e3466822e8665072ea33"},
     {file = "google_cloud_logging-3.9.0-py2.py3-none-any.whl", hash = "sha256:094a2db068ff7f38c9e0c1017673fa49c0768fbae02769e03e06baa30f138b87"},
@@ -1846,6 +1986,8 @@ version = "2.14.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-cloud-storage-2.14.0.tar.gz", hash = "sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e"},
     {file = "google_cloud_storage-2.14.0-py2.py3-none-any.whl", hash = "sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd"},
@@ -1868,6 +2010,8 @@ version = "1.5.0"
 description = "A python wrapper of the C library 'Google CRC32C'"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"},
     {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13"},
@@ -1948,6 +2092,8 @@ version = "2.7.0"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">= 3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
     {file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"},
@@ -1966,6 +2112,8 @@ version = "1.62.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "googleapis-common-protos-1.62.0.tar.gz", hash = "sha256:83f0ece9f94e5672cced82f592d2a5edf527a96ed1794f0bab36d5735c996277"},
     {file = "googleapis_common_protos-1.62.0-py2.py3-none-any.whl", hash = "sha256:4750113612205514f9f6aa4cb00d523a94f3e8c06c5ad2fee466387dc4875f07"},
@@ -1984,6 +2132,8 @@ version = "3.0.3"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
 files = [
     {file = "greenlet-3.0.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:9da2bd29ed9e4f15955dd1595ad7bc9320308a3b766ef7f837e23ad4b4aac31a"},
     {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d353cadd6083fdb056bb46ed07e4340b0869c305c8ca54ef9da3421acbdf6881"},
@@ -2055,6 +2205,8 @@ version = "0.8.0"
 description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "groq-0.8.0-py3-none-any.whl", hash = "sha256:f5e4e892d45001241a930db451e633ca1f0007e3f749deaa5d7360062fcd61e3"},
     {file = "groq-0.8.0.tar.gz", hash = "sha256:37ceb2f706bd516d0bfcac8e89048a24b375172987a0d6bd9efb521c54f6deff"},
@@ -2074,6 +2226,8 @@ version = "0.13.0"
 description = "IAM API client library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"},
     {file = "grpc_google_iam_v1-0.13.0-py2.py3-none-any.whl", hash = "sha256:53902e2af7de8df8c1bd91373d9be55b0743ec267a7428ea638db3775becae89"},
@@ -2090,6 +2244,8 @@ version = "1.60.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-1.60.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:d020cfa595d1f8f5c6b343530cd3ca16ae5aefdd1e832b777f9f0eb105f5b139"},
     {file = "grpcio-1.60.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:b98f43fcdb16172dec5f4b49f2fece4b16a99fd284d81c6bbac1b3b69fcbe0ff"},
@@ -2156,6 +2312,8 @@ version = "1.60.0"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "grpcio-status-1.60.0.tar.gz", hash = "sha256:f10e0b6db3adc0fdc244b71962814ee982996ef06186446b5695b9fa635aa1ab"},
     {file = "grpcio_status-1.60.0-py3-none-any.whl", hash = "sha256:7d383fa36e59c1e61d380d91350badd4d12ac56e4de2c2b831b050362c3c572e"},
@@ -2172,6 +2330,8 @@ version = "2.5.0"
 description = "gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "gTTS-2.5.0-py3-none-any.whl", hash = "sha256:181eca837c8c9ae280160573d76e8a340c1c54055c966ad11b4f4bf1b8e3194a"},
     {file = "gTTS-2.5.0.tar.gz", hash = "sha256:d6d589b1759948490fbabd7a11d1799eeafdde8ba90580194918a18dc078ec49"},
@@ -2191,6 +2351,8 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -2202,6 +2364,8 @@ version = "4.1.0"
 description = "HTTP/2 State-Machine based protocol implementation"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
     {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
@@ -2217,6 +2381,8 @@ version = "4.0.0"
 description = "Pure-Python HPACK header compression"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
     {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
@@ -2228,6 +2394,8 @@ version = "0.17.3"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpcore-0.17.3-py3-none-any.whl", hash = "sha256:c2789b767ddddfa2a5782e3199b2b7f6894540b17b16ec26b2c4d8e103510b87"},
     {file = "httpcore-0.17.3.tar.gz", hash = "sha256:a6f30213335e34c1ade7be6ec7c47f19f50c56db36abef1a9dfa3815b1cb3888"},
@@ -2249,6 +2417,8 @@ version = "0.22.0"
 description = "A comprehensive HTTP client library."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"},
     {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"},
@@ -2263,6 +2433,8 @@ version = "0.6.1"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2f6c3c4cb1948d912538217838f6e9960bc4a521d7f9b323b3da579cd14532f"},
     {file = "httptools-0.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:00d5d4b68a717765b1fabfd9ca755bd12bf44105eeb806c03d1962acd9b8e563"},
@@ -2311,6 +2483,8 @@ version = "0.24.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "httpx-0.24.1-py3-none-any.whl", hash = "sha256:06781eb9ac53cde990577af654bd990a4949de37a28bdb4a230d434f3a30b9bd"},
     {file = "httpx-0.24.1.tar.gz", hash = "sha256:5853a43053df830c20f8110c5e69fe44d035d850b2dfe795e196f00fdb774bdd"},
@@ -2334,6 +2508,8 @@ version = "0.20.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "huggingface_hub-0.20.2-py3-none-any.whl", hash = "sha256:53752eda2239d30a470c307a61cf9adcf136bc77b0a734338c7d04941af560d8"},
     {file = "huggingface_hub-0.20.2.tar.gz", hash = "sha256:215c5fceff631030c7a3d19ba7b588921c908b3f21eef31d160ebc245b200ff6"},
@@ -2366,6 +2542,8 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -2380,6 +2558,8 @@ version = "0.14.4"
 description = "A ASGI Server based on Hyper libraries and inspired by Gunicorn"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "hypercorn-0.14.4-py3-none-any.whl", hash = "sha256:f956200dbf8677684e6e976219ffa6691d6cf795281184b41dbb0b135ab37b8d"},
     {file = "hypercorn-0.14.4.tar.gz", hash = "sha256:3fa504efc46a271640023c9b88c3184fd64993f47a282e8ae1a13ccb285c2f67"},
@@ -2404,6 +2584,8 @@ version = "6.0.1"
 description = "HTTP/2 framing layer for Python"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
     {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
@@ -2415,6 +2597,8 @@ version = "2.5.33"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "identify-2.5.33-py2.py3-none-any.whl", hash = "sha256:d40ce5fcd762817627670da8a7d8d8e65f24342d14539c59488dc603bf662e34"},
     {file = "identify-2.5.33.tar.gz", hash = "sha256:161558f9fe4559e1557e1bff323e8631f6a0e4837f7497767c1782832f16b62d"},
@@ -2429,6 +2613,8 @@ version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
     {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
@@ -2440,6 +2626,8 @@ version = "6.11.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
     {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
@@ -2459,6 +2647,8 @@ version = "6.1.1"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
     {file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
@@ -2474,6 +2664,8 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -2485,6 +2677,8 @@ version = "8.20.0"
 description = "IPython: Productive Interactive Computing"
 optional = true
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "ipython-8.20.0-py3-none-any.whl", hash = "sha256:bc9716aad6f29f36c449e30821c9dd0c1c1a7b59ddcc26931685b87b4c569619"},
     {file = "ipython-8.20.0.tar.gz", hash = "sha256:2f21bd3fc1d51550c89ee3944ae04bbc7bc79e129ea0937da6e6c68bfdbf117a"},
@@ -2521,6 +2715,8 @@ version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
     {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
@@ -2535,6 +2731,8 @@ version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
     {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
@@ -2554,6 +2752,8 @@ version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
     {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
@@ -2571,6 +2771,8 @@ version = "1.0.1"
 description = "JSON Matching Expressions"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -2582,6 +2784,8 @@ version = "3.0.2"
 description = "Python library for serializing any arbitrary object graph into JSON"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "jsonpickle-3.0.2-py3-none-any.whl", hash = "sha256:4a8442d97ca3f77978afa58068768dba7bff2dbabe79a9647bc3cdafd4ef019f"},
     {file = "jsonpickle-3.0.2.tar.gz", hash = "sha256:e37abba4bfb3ca4a4647d28bb9f4706436f7b46c8a8333b4a718abafa8e46b37"},
@@ -2598,6 +2802,8 @@ version = "4.21.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonschema-4.21.0-py3-none-any.whl", hash = "sha256:70a09719d375c0a2874571b363c8a24be7df8071b80c9aa76bc4551e7297c63c"},
     {file = "jsonschema-4.21.0.tar.gz", hash = "sha256:3ba18e27f7491ea4a1b22edce00fb820eec968d397feb3f9cb61d5894bb38167"},
@@ -2619,6 +2825,8 @@ version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
     {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
@@ -2633,6 +2841,8 @@ version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"},
     {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"},
@@ -2746,6 +2956,8 @@ version = "29.0.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
     {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
@@ -2772,6 +2984,8 @@ version = "3.3.0"
 description = "Tools for labeling human languages with IETF language tags"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "langcodes-3.3.0-py3-none-any.whl", hash = "sha256:4d89fc9acb6e9c8fdef70bcdf376113a3db09b67285d9e1d534de6d8818e7e69"},
     {file = "langcodes-3.3.0.tar.gz", hash = "sha256:794d07d5a28781231ac335a1561b8442f8648ca07cd518310aeb45d6f0807ef6"},
@@ -2786,6 +3000,8 @@ version = "0.14.1"
 description = "Library to instrument executable formats"
 optional = false
 python-versions = ">=3.8"
+groups = ["build"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\""
 files = [
     {file = "lief-0.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7a9a94882f9af110fb01b4558a58941d2352b9a4ae3fef15570a3fab921ff462"},
     {file = "lief-0.14.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:bcc06f24f64fa6f20372d625ce60c40a7a6f669e11bdd02c2f0b8c5c6d09a5ee"},
@@ -2825,6 +3041,8 @@ version = "1.17.13"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = ">=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "litellm-1.17.13-py3-none-any.whl", hash = "sha256:d9370077a3a5e3540c3d2e84580c3fee5add9ff606d6715da0428399b73f389f"},
     {file = "litellm-1.17.13.tar.gz", hash = "sha256:df2d42bb759cff4d3390a51c11dad87cfd581e56d43103bb4eb4fa4a81d0d38e"},
@@ -2851,6 +3069,8 @@ version = "5.1.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:704f5572ff473a5f897745abebc6df40f22d4133c1e0a1f124e4f2bd3330ff7e"},
     {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9d3c0f8567ffe7502d969c2c1b809892dc793b5d0665f602aad19895f8d508da"},
@@ -2944,6 +3164,8 @@ version = "2.2.2"
 description = "Generate/parse Mac OS Alias records from Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["build"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"darwin\""
 files = [
     {file = "mac_alias-2.2.2-py3-none-any.whl", hash = "sha256:504ab8ac546f35bbd75ad014d6ad977c426660aa721f2cd3acf3dc2f664141bd"},
     {file = "mac_alias-2.2.2.tar.gz", hash = "sha256:c99c728eb512e955c11f1a6203a0ffa8883b26549e8afe68804031aa5da856b7"},
@@ -2960,6 +3182,8 @@ version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
     {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
@@ -3029,6 +3253,8 @@ version = "3.8.2"
 description = "Python plotting package"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "matplotlib-3.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09796f89fb71a0c0e1e2f4bdaf63fb2cefc84446bb963ecdeb40dfee7dfa98c7"},
     {file = "matplotlib-3.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9c6976748a25e8b9be51ea028df49b8e561eed7809146da7a47dbecebab367"},
@@ -3077,6 +3303,8 @@ version = "0.1.6"
 description = "Inline Matplotlib backend for Jupyter"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
     {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"},
@@ -3091,6 +3319,8 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -3102,6 +3332,8 @@ version = "4.1.0"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be5ac76a8b0cd8095784e51e4c1c9c318c19edcd1709a06eb14979c8d850c31a"},
     {file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:98a49121afdfab67cd80e912b36404139d7deceb6773a83620137aaa0da5714c"},
@@ -3194,6 +3426,8 @@ version = "1.6"
 description = "An implementation of time.monotonic() for Python 2 & < 3.3"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"},
     {file = "monotonic-1.6.tar.gz", hash = "sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7"},
@@ -3205,6 +3439,8 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -3222,6 +3458,8 @@ version = "6.0.5"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
     {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
@@ -3321,6 +3559,8 @@ version = "1.0.10"
 description = "Cython bindings for MurmurHash"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "murmurhash-1.0.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3e90eef568adca5e17a91f96975e9a782ace3a617bbb3f8c8c2d917096e9bfeb"},
     {file = "murmurhash-1.0.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f8ecb00cc1ab57e4b065f9fb3ea923b55160c402d959c69a0b6dbbe8bc73efc3"},
@@ -3363,6 +3603,8 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -3374,6 +3616,8 @@ version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
     {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
@@ -3392,6 +3636,8 @@ version = "1.8.0"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
     {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
@@ -3406,6 +3652,8 @@ version = "1.26.3"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf"},
     {file = "numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd"},
@@ -3451,6 +3699,8 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -3467,6 +3717,8 @@ version = "1.17.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "onnxruntime-1.17.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d43ac17ac4fa3c9096ad3c0e5255bb41fd134560212dc124e7f52c3159af5d21"},
     {file = "onnxruntime-1.17.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:55b5e92a4c76a23981c998078b9bf6145e4fb0b016321a8274b1607bd3c6bd35"},
@@ -3509,6 +3761,8 @@ version = "1.8.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "openai-1.8.0-py3-none-any.whl", hash = "sha256:0f8f53805826103fdd8adaf379ad3ec23f9d867e698cbc14caf34b778d150175"},
     {file = "openai-1.8.0.tar.gz", hash = "sha256:93366be27802f517e89328801913d2a5ede45e3b86fdcab420385b8a1b88c767"},
@@ -3532,6 +3786,8 @@ version = "1.22.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_api-1.22.0-py3-none-any.whl", hash = "sha256:43621514301a7e9f5d06dd8013a1b450f30c2e9372b8e30aaeb4562abf2ce034"},
     {file = "opentelemetry_api-1.22.0.tar.gz", hash = "sha256:15ae4ca925ecf9cfdfb7a709250846fbb08072260fca08ade78056c502b86bed"},
@@ -3547,6 +3803,8 @@ version = "1.22.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_common-1.22.0-py3-none-any.whl", hash = "sha256:3f2538bec5312587f8676c332b3747f54c89fe6364803a807e217af4603201fa"},
     {file = "opentelemetry_exporter_otlp_proto_common-1.22.0.tar.gz", hash = "sha256:71ae2f81bc6d6fe408d06388826edc8933759b2ca3a97d24054507dc7cfce52d"},
@@ -3562,6 +3820,8 @@ version = "1.22.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.22.0-py3-none-any.whl", hash = "sha256:b5bcadc129272004316a455e9081216d3380c1fc2231a928ea6a70aa90e173fb"},
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.22.0.tar.gz", hash = "sha256:1e0e5aa4bbabc74942f06f268deffd94851d12a8dc30b02527472ef1729fe5b1"},
@@ -3586,6 +3846,8 @@ version = "0.43b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation-0.43b0-py3-none-any.whl", hash = "sha256:0ff1334d7e359e27640e9d420024efeb73eacae464309c2e14ede7ba6c93967e"},
     {file = "opentelemetry_instrumentation-0.43b0.tar.gz", hash = "sha256:c3755da6c4be8033be0216d0501e11f4832690f4e2eca5a3576fbf113498f0f6"},
@@ -3602,6 +3864,8 @@ version = "0.43b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation_asgi-0.43b0-py3-none-any.whl", hash = "sha256:1f593829fa039e9367820736fb063e92acd15c25b53d7bcb5d319971b8e93fd7"},
     {file = "opentelemetry_instrumentation_asgi-0.43b0.tar.gz", hash = "sha256:3f6f19333dca31ef696672e4e36cb1c2613c71dc7e847c11ff36a37e1130dadc"},
@@ -3624,6 +3888,8 @@ version = "0.43b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_instrumentation_fastapi-0.43b0-py3-none-any.whl", hash = "sha256:b79c044df68a52e07b35fa12a424e7cc0dd27ff0a171c5fdcc41dea9de8fc938"},
     {file = "opentelemetry_instrumentation_fastapi-0.43b0.tar.gz", hash = "sha256:2afaaf470622e1a2732182c68f6d2431ffe5e026a7edacd0f83605632b66347f"},
@@ -3646,6 +3912,8 @@ version = "1.22.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_proto-1.22.0-py3-none-any.whl", hash = "sha256:ce7188d22c75b6d0fe53e7fb58501613d0feade5139538e79dedd9420610fa0c"},
     {file = "opentelemetry_proto-1.22.0.tar.gz", hash = "sha256:9ec29169286029f17ca34ec1f3455802ffb90131642d2f545ece9a63e8f69003"},
@@ -3660,6 +3928,8 @@ version = "1.22.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_sdk-1.22.0-py3-none-any.whl", hash = "sha256:a730555713d7c8931657612a88a141e3a4fe6eb5523d9e2d5a8b1e673d76efa6"},
     {file = "opentelemetry_sdk-1.22.0.tar.gz", hash = "sha256:45267ac1f38a431fc2eb5d6e0c0d83afc0b78de57ac345488aa58c28c17991d0"},
@@ -3676,6 +3946,8 @@ version = "0.43b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_semantic_conventions-0.43b0-py3-none-any.whl", hash = "sha256:291284d7c1bf15fdaddf309b3bd6d3b7ce12a253cec6d27144439819a15d8445"},
     {file = "opentelemetry_semantic_conventions-0.43b0.tar.gz", hash = "sha256:b9576fb890df479626fa624e88dde42d3d60b8b6c8ae1152ad157a8b97358635"},
@@ -3687,6 +3959,8 @@ version = "0.43b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "opentelemetry_util_http-0.43b0-py3-none-any.whl", hash = "sha256:f25a820784b030f6cb86b3d76e5676c769b75ed3f55a210bcdae0a5e175ebadb"},
     {file = "opentelemetry_util_http-0.43b0.tar.gz", hash = "sha256:3ff6ab361dbe99fc81200d625603c0fb890c055c6e416a3e6d661ddf47a6c7f7"},
@@ -3698,6 +3972,8 @@ version = "3.10.5"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "orjson-3.10.5-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:545d493c1f560d5ccfc134803ceb8955a14c3fcb47bbb4b2fee0232646d0b932"},
     {file = "orjson-3.10.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4324929c2dd917598212bfd554757feca3e5e0fa60da08be11b4aa8b90013c1"},
@@ -3753,6 +4029,8 @@ version = "1.3.0.post0"
 description = "Capture the outcome of Python function calls."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "outcome-1.3.0.post0-py2.py3-none-any.whl", hash = "sha256:e771c5ce06d1415e356078d3bdd68523f284b4ce5419828922b6871e65eda82b"},
     {file = "outcome-1.3.0.post0.tar.gz", hash = "sha256:9dcf02e65f2971b80047b377468e72a268e15c0af3cf1238e6ff14f7f91143b8"},
@@ -3767,6 +4045,8 @@ version = "7.4.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "overrides-7.4.0-py3-none-any.whl", hash = "sha256:3ad24583f86d6d7a49049695efe9933e67ba62f0c7625d53c59fa832ce4b8b7d"},
     {file = "overrides-7.4.0.tar.gz", hash = "sha256:9502a3cca51f4fac40b5feca985b6703a5c1f6ad815588a7ca9e285b9dca6757"},
@@ -3778,6 +4058,8 @@ version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
     {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
@@ -3789,6 +4071,8 @@ version = "2.1.4"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pandas-2.1.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdec823dc6ec53f7a6339a0e34c68b144a7a1fd28d80c260534c39c62c5bf8c9"},
     {file = "pandas-2.1.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:294d96cfaf28d688f30c918a765ea2ae2e0e71d3536754f4b6de0ea4a496d034"},
@@ -3857,6 +4141,8 @@ version = "0.8.3"
 description = "A Python Parser"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"},
     {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
@@ -3872,6 +4158,8 @@ version = "0.17.2.1"
 description = "A small utility to modify the dynamic linker and RPATH of ELF executables."
 optional = false
 python-versions = "*"
+groups = ["build"]
+markers = "sys_platform == \"linux\" and (platform_machine == \"aarch64\" or platform_machine == \"armv7l\" or platform_machine == \"i686\" or platform_machine == \"ppc64le\" or platform_machine == \"s390x\" or platform_machine == \"x86_64\") and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "patchelf-0.17.2.1-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl", hash = "sha256:fc329da0e8f628bd836dfb8eaf523547e342351fa8f739bf2b3fe4a6db5a297c"},
     {file = "patchelf-0.17.2.1-py2.py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.musllinux_1_1_armv7l.whl", hash = "sha256:ccb266a94edf016efe80151172c26cff8c2ec120a57a1665d257b0442784195d"},
@@ -3891,6 +4179,8 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -3902,6 +4192,8 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
@@ -3916,6 +4208,8 @@ version = "10.2.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"},
     {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"},
@@ -4001,6 +4295,8 @@ version = "4.1.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "platformdirs-4.1.0-py3-none-any.whl", hash = "sha256:11c8f37bcca40db96d8144522d925583bdb7a31f7b0e37e3ed4318400a8e2380"},
     {file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
@@ -4016,6 +4312,8 @@ version = "1.2.2"
 description = "Pure Python, cross platform, single function module with no dependencies for playing sounds."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "playsound-1.2.2-py2.py3-none-any.whl", hash = "sha256:1e83750a5325cbccee03d6e751ba3e78c037ac95b95a3ba1f38d0c5aca9e1a34"},
 ]
@@ -4026,6 +4324,8 @@ version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
     {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
@@ -4041,6 +4341,8 @@ version = "3.3.1"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "posthog-3.3.1-py2.py3-none-any.whl", hash = "sha256:5f53b232acb680a0389e372db5f786061a18386b8b5324bddcc64eff9fdb319b"},
     {file = "posthog-3.3.1.tar.gz", hash = "sha256:252cb6ab5cbe7ff002753f34fb647721b3af75034b4a5a631317ebf3db58fe59"},
@@ -4064,6 +4366,8 @@ version = "3.6.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pre_commit-3.6.0-py2.py3-none-any.whl", hash = "sha256:c255039ef399049a5544b6ce13d135caba8f2c28c3b4033277a788f434308376"},
     {file = "pre_commit-3.6.0.tar.gz", hash = "sha256:d30bad9abf165f7785c15a21a1f46da7d0677cb00ee7ff4c579fd38922efe15d"},
@@ -4082,6 +4386,8 @@ version = "3.0.9"
 description = "Cython hash table that trusts the keys are pre-hashed"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "preshed-3.0.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4f96ef4caf9847b2bb9868574dcbe2496f974e41c2b83d6621c24fb4c3fc57e3"},
     {file = "preshed-3.0.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a61302cf8bd30568631adcdaf9e6b21d40491bd89ba8ebf67324f98b6c2a2c05"},
@@ -4128,6 +4434,8 @@ version = "2.0.0"
 description = "A pure-Python implementation of the HTTP/2 priority tree"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
     {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
@@ -4139,6 +4447,8 @@ version = "3.0.43"
 description = "Library for building powerful interactive command lines in Python"
 optional = true
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
     {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
@@ -4153,6 +4463,8 @@ version = "1.23.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "proto-plus-1.23.0.tar.gz", hash = "sha256:89075171ef11988b3fa157f5dbd8b9cf09d65fffee97e29ce403cd8defba19d2"},
     {file = "proto_plus-1.23.0-py3-none-any.whl", hash = "sha256:a829c79e619e1cf632de091013a4173deed13a55f326ef84f05af6f50ff4c82c"},
@@ -4170,6 +4482,8 @@ version = "4.25.2"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "protobuf-4.25.2-cp310-abi3-win32.whl", hash = "sha256:b50c949608682b12efb0b2717f53256f03636af5f60ac0c1d900df6213910fd6"},
     {file = "protobuf-4.25.2-cp310-abi3-win_amd64.whl", hash = "sha256:8f62574857ee1de9f770baf04dde4165e30b15ad97ba03ceac65f760ff018ac9"},
@@ -4190,6 +4504,8 @@ version = "5.9.7"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "psutil-5.9.7-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:0bd41bf2d1463dfa535942b2a8f0e958acf6607ac0be52265ab31f7923bcd5e6"},
     {file = "psutil-5.9.7-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:5794944462509e49d4d458f4dbfb92c47539e7d8d15c796f141f474010084056"},
@@ -4218,6 +4534,8 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -4229,6 +4547,8 @@ version = "3.4.0"
 description = "Apache Pulsar Python client library"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pulsar_client-3.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ebf99db5244ff69479283b25621b070492acc4bb643d162d86b90387cb6fdb2a"},
     {file = "pulsar_client-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6cb5d8e1482a8aea758633be23717e0c4bb7dc53784e37915c0048c0382f134"},
@@ -4276,6 +4596,8 @@ version = "0.2.2"
 description = "Safely evaluate AST nodes without side effects"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
     {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
@@ -4290,6 +4612,8 @@ version = "0.5.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1-0.5.1-py2.py3-none-any.whl", hash = "sha256:4439847c58d40b1d0a573d07e3856e95333f1976294494c325775aeca506eb58"},
     {file = "pyasn1-0.5.1.tar.gz", hash = "sha256:6d391a96e59b23130a5cfa74d6fd7f388dbbe26cc8f1edf39fdddf08d9d6676c"},
@@ -4301,6 +4625,8 @@ version = "0.3.0"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyasn1_modules-0.3.0-py2.py3-none-any.whl", hash = "sha256:d3ccd6ed470d9ffbc716be08bd90efbd44d0734bc9303818f7336070984a162d"},
     {file = "pyasn1_modules-0.3.0.tar.gz", hash = "sha256:5bd01446b736eb9d31512a30d46c1ac3395d676c6f3cafa4c03eb54b9925631c"},
@@ -4315,6 +4641,8 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -4326,6 +4654,8 @@ version = "2.21"
 description = "C parser in Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "os_name == \"nt\" and implementation_name != \"pypy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
     {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
@@ -4337,6 +4667,8 @@ version = "2.7.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
     {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
@@ -4356,6 +4688,8 @@ version = "2.18.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
     {file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
@@ -4447,6 +4781,8 @@ version = "2.3.4"
 description = "Settings management using Pydantic"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
     {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
@@ -4466,6 +4802,8 @@ version = "3.2.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
     {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
@@ -4477,6 +4815,8 @@ version = "2.17.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
     {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
@@ -4492,6 +4832,8 @@ version = "2.10"
 description = "Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pylatexenc-2.10.tar.gz", hash = "sha256:3dd8fd84eb46dc30bee1e23eaab8d8fb5a7f507347b23e5f38ad9675c84f40d3"},
 ]
@@ -4502,6 +4844,8 @@ version = "3.1.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
     {file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
@@ -4516,6 +4860,8 @@ version = "3.17.4"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pypdf-3.17.4-py3-none-any.whl", hash = "sha256:6aa0f61b33779b64486de3f42835d3668badd48dac4a536aeb87da187a5eacd2"},
     {file = "pypdf-3.17.4.tar.gz", hash = "sha256:ec96e2e4fc9648ac609d19c00d41e9d606e0ae2ce5a0bbe7691426f5f157166a"},
@@ -4534,6 +4880,8 @@ version = "0.48.9"
 description = "A SQL query builder API for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyPika-0.48.9.tar.gz", hash = "sha256:838836a61747e7c8380cd1b7ff638694b7a7335345d0f559b04b2cd832ad5378"},
 ]
@@ -4544,6 +4892,8 @@ version = "1.0.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyproject_hooks-1.0.0-py3-none-any.whl", hash = "sha256:283c11acd6b928d2f6a7c73fa0d01cb2bdc5f07c57a2eeb6e83d5e56b97976f8"},
     {file = "pyproject_hooks-1.0.0.tar.gz", hash = "sha256:f271b298b97f5955d53fb12b72c1fb1948c22c1a6b70b315c54cedaca0264ef5"},
@@ -4558,6 +4908,8 @@ version = "3.4.1"
 description = "A python implementation of GNU readline."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "sys_platform == \"win32\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"},
     {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
@@ -4569,6 +4921,8 @@ version = "0.4.8"
 description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:45cad57afe4e6f56078ed9a7a90d0dc839d19d3e7a70175c80af21017f383bfb"},
     {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1986600253baf38f25fd07b8bdc1903359c26e5d34beb7d7d084845554b5664d"},
@@ -4629,6 +4983,8 @@ version = "1.1.366"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pyright-1.1.366-py3-none-any.whl", hash = "sha256:c09e73ccc894976bcd6d6a5784aa84d724dbd9ceb7b873b39d475ca61c2de071"},
     {file = "pyright-1.1.366.tar.gz", hash = "sha256:10e4d60be411f6d960cd39b0b58bf2ff76f2c83b9aeb102ffa9d9fda2e1303cb"},
@@ -4647,6 +5003,8 @@ version = "1.7.1"
 description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
     {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
@@ -4659,6 +5017,8 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -4681,6 +5041,8 @@ version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
     {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
@@ -4699,6 +5061,8 @@ version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
     {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
@@ -4717,6 +5081,8 @@ version = "3.12.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-mock-3.12.0.tar.gz", hash = "sha256:31a40f038c22cad32287bb43932054451ff5583ff094bca6f675df2f8bc1a6e9"},
     {file = "pytest_mock-3.12.0-py3-none-any.whl", hash = "sha256:0972719a7263072da3a21c7f4773069bcc7486027d7e8e1f81d98a47e701bc4f"},
@@ -4734,6 +5100,8 @@ version = "0.13.1"
 description = "A pytest plugin that allows you recording of network interactions via VCR.py"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest_recording-0.13.1-py3-none-any.whl", hash = "sha256:e5c75feb2593eb4ed9362182c6640bfe19004204bf9a6082d62c91b5fdb50a3e"},
     {file = "pytest_recording-0.13.1.tar.gz", hash = "sha256:1265d679f39263f115968ec01c2a3bfed250170fd1b0d9e288970b2e4a13737a"},
@@ -4753,6 +5121,8 @@ version = "3.5.0"
 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "pytest-xdist-3.5.0.tar.gz", hash = "sha256:cbb36f3d67e0c478baa57fa4edc8843887e0f6cfc42d677530a36d7472b32d8a"},
     {file = "pytest_xdist-3.5.0-py3-none-any.whl", hash = "sha256:d075629c7e00b611df89f490a5063944bee7a4362a5ff11c7cc7824a03dfce24"},
@@ -4773,6 +5143,8 @@ version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
     {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
@@ -4787,6 +5159,8 @@ version = "1.1.0"
 description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-docx-1.1.0.tar.gz", hash = "sha256:5829b722141cf1ab79aedf0c34d9fe9924b29764584c0f2164eb2b02dcdf17c9"},
     {file = "python_docx-1.1.0-py3-none-any.whl", hash = "sha256:bac9773278098a1ddc43a52d84e22f5909c4a3080a624530b3ecb3771b07c6cd"},
@@ -4802,6 +5176,8 @@ version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
     {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
@@ -4816,6 +5192,8 @@ version = "0.0.7"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "python_multipart-0.0.7-py3-none-any.whl", hash = "sha256:b1fef9a53b74c795e2347daac8c54b252d9e0df9c619712691c1cc8021bd3c49"},
     {file = "python_multipart-0.0.7.tar.gz", hash = "sha256:288a6c39b06596c1b988bb6794c6fbc80e6c369e35e5062637df256bee0c9af9"},
@@ -4830,6 +5208,8 @@ version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
     {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
@@ -4841,6 +5221,8 @@ version = "0.3.2"
 description = "A Python network graph visualization library"
 optional = true
 python-versions = ">3.6"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "pyvis-0.3.2-py3-none-any.whl", hash = "sha256:5720c4ca8161dc5d9ab352015723abb7a8bb8fb443edeb07f7a322db34a97555"},
 ]
@@ -4857,6 +5239,8 @@ version = "306"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\""
 files = [
     {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"},
     {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"},
@@ -4880,6 +5264,8 @@ version = "6.0.1"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
     {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
@@ -4940,6 +5326,8 @@ version = "0.32.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "referencing-0.32.1-py3-none-any.whl", hash = "sha256:7e4dc12271d8e15612bfe35792f5ea1c40970dadf8624602e33db2758f7ee554"},
     {file = "referencing-0.32.1.tar.gz", hash = "sha256:3c57da0513e9563eb7e203ebe9bb3a1b509b042016433bd1e45a2853466c3dd3"},
@@ -4955,6 +5343,8 @@ version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "regex-2023.12.25-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0694219a1d54336fd0445ea382d49d36882415c0134ee1e8332afd1529f0baa5"},
     {file = "regex-2023.12.25-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b014333bd0217ad3d54c143de9d4b9a3ca1c5a29a6d0d554952ea071cff0f1f8"},
@@ -5057,6 +5447,8 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -5078,6 +5470,8 @@ version = "1.3.1"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a"},
     {file = "requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5"},
@@ -5096,6 +5490,8 @@ version = "0.17.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rpds_py-0.17.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:4128980a14ed805e1b91a7ed551250282a8ddf8201a4e9f8f5b7e6225f54170d"},
     {file = "rpds_py-0.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ff1dcb8e8bc2261a088821b2595ef031c91d499a0c1b031c152d43fe0a6ecec8"},
@@ -5204,6 +5600,8 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = ">=3.6,<4"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -5218,6 +5616,8 @@ version = "0.10.0"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">= 3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "s3transfer-0.10.0-py3-none-any.whl", hash = "sha256:3cdb40f5cfa6966e812209d0994f2a4709b561c88e90cf00c2696d2df4e56b2e"},
     {file = "s3transfer-0.10.0.tar.gz", hash = "sha256:d0c8bbf672d5eebbe4e57945e23b972d963f07d82f661cabf678a5c88831595b"},
@@ -5235,6 +5635,8 @@ version = "4.16.0"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "selenium-4.16.0-py3-none-any.whl", hash = "sha256:aec71f4e6ed6cb3ec25c9c1b5ed56ae31b6da0a7f17474c7566d303f84e6219f"},
     {file = "selenium-4.16.0.tar.gz", hash = "sha256:b2e987a445306151f7be0e6dfe2aa72a479c2ac6a91b9d5ef2d6dd4e49ad0435"},
@@ -5252,6 +5654,8 @@ version = "1.40.4"
 description = "Python client for Sentry (https://sentry.io)"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sentry-sdk-1.40.4.tar.gz", hash = "sha256:657abae98b0050a0316f0873d7149f951574ae6212f71d2e3a1c4c88f62d6456"},
     {file = "sentry_sdk-1.40.4-py2.py3-none-any.whl", hash = "sha256:ac5cf56bb897ec47135d239ddeedf7c1c12d406fb031a4c0caa07399ed014d7e"},
@@ -5297,6 +5701,8 @@ version = "70.1.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "build", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "setuptools-70.1.1-py3-none-any.whl", hash = "sha256:a58a8fde0541dab0419750bcc521fbdf8585f6e5cb41909df3a472ef7b81ca95"},
     {file = "setuptools-70.1.1.tar.gz", hash = "sha256:937a48c7cdb7a21eb53cd7f9b59e525503aa8abaf3584c730dc5f7a5bec3a650"},
@@ -5312,6 +5718,8 @@ version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -5323,6 +5731,8 @@ version = "6.4.0"
 description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
 optional = false
 python-versions = ">=3.6,<4.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "smart_open-6.4.0-py3-none-any.whl", hash = "sha256:8d3ef7e6997e8e42dd55c74166ed21e6ac70664caa32dd940b26d54a8f6b4142"},
     {file = "smart_open-6.4.0.tar.gz", hash = "sha256:be3c92c246fbe80ebce8fbacb180494a481a77fcdcb7c1aadb2ea5b9c2bee8b9"},
@@ -5344,6 +5754,8 @@ version = "5.0.1"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
     {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
@@ -5355,6 +5767,8 @@ version = "1.3.0"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
     {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
@@ -5366,6 +5780,8 @@ version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
     {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
@@ -5377,6 +5793,8 @@ version = "2.5"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
     {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
@@ -5388,6 +5806,8 @@ version = "3.7.4"
 description = "Industrial-strength Natural Language Processing (NLP) in Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "spacy-3.7.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0f748625192f573c07ddea5fcd324919dbfbf4f4a2f7a1fc731e6dcba7321ea1"},
     {file = "spacy-3.7.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6288dca7b3a5489b3d7ce68404bc432ca22f826c662a12af47ef7bdb264307fb"},
@@ -5476,6 +5896,8 @@ version = "3.0.12"
 description = "Legacy registered functions for spaCy backwards compatibility"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "spacy-legacy-3.0.12.tar.gz", hash = "sha256:b37d6e0c9b6e1d7ca1cf5bc7152ab64a4c4671f59c85adaf7a3fcb870357a774"},
     {file = "spacy_legacy-3.0.12-py2.py3-none-any.whl", hash = "sha256:476e3bd0d05f8c339ed60f40986c07387c0a71479245d6d0f4298dbd52cda55f"},
@@ -5487,6 +5909,8 @@ version = "1.0.5"
 description = "Logging utilities for SpaCy"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "spacy-loggers-1.0.5.tar.gz", hash = "sha256:d60b0bdbf915a60e516cc2e653baeff946f0cfc461b452d11a4d5458c6fe5f24"},
     {file = "spacy_loggers-1.0.5-py3-none-any.whl", hash = "sha256:196284c9c446cc0cdb944005384270d775fdeaf4f494d8e269466cfa497ef645"},
@@ -5498,6 +5922,8 @@ version = "2.0.25"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "SQLAlchemy-2.0.25-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4344d059265cc8b1b1be351bfb88749294b87a8b2bbe21dfbe066c4199541ebd"},
     {file = "SQLAlchemy-2.0.25-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9e2e59cbcc6ba1488404aad43de005d05ca56e069477b33ff74e91b6319735"},
@@ -5585,6 +6011,8 @@ version = "2.4.8"
 description = "Modern high-performance serialization utilities for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "srsly-2.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:17f3bcb418bb4cf443ed3d4dcb210e491bd9c1b7b0185e6ab10b6af3271e63b2"},
     {file = "srsly-2.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0b070a58e21ab0e878fd949f932385abb4c53dd0acb6d3a7ee75d95d447bc609"},
@@ -5631,6 +6059,8 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -5650,6 +6080,8 @@ version = "0.36.3"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"},
     {file = "starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080"},
@@ -5667,6 +6099,8 @@ version = "1.12"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
     {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
@@ -5681,6 +6115,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -5695,6 +6131,8 @@ version = "8.2.3"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
     {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
@@ -5709,6 +6147,8 @@ version = "8.2.3"
 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "thinc-8.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:27950dc8a14e1ead09dec329ad98edf1b8f7cc71ec9d5ce5f301073de9d7dadf"},
     {file = "thinc-8.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fce09571619f344983f915f5deb5b8346304b56d3a9ae1bc5ac8c5872eee0738"},
@@ -5791,6 +6231,8 @@ version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"},
@@ -5843,6 +6285,8 @@ version = "0.15.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tokenizers-0.15.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:cd3cd0299aaa312cd2988957598f80becd04d5a07338741eca076057a2b37d6e"},
     {file = "tokenizers-0.15.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a922c492c721744ee175f15b91704be2d305569d25f0547c77cd6c9f210f9dc"},
@@ -5958,6 +6402,8 @@ version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -5969,6 +6415,8 @@ version = "2.0.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
@@ -5980,6 +6428,8 @@ version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
     {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
@@ -6000,6 +6450,8 @@ version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
     {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
@@ -6015,6 +6467,8 @@ version = "0.24.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "trio-0.24.0-py3-none-any.whl", hash = "sha256:c3bd3a4e3e3025cd9a2241eae75637c43fe0b9e88b4c97b9161a55b9e54cd72c"},
     {file = "trio-0.24.0.tar.gz", hash = "sha256:ffa09a74a6bf81b84f8613909fb0beaee84757450183a7a2e0b47b455c0cac5d"},
@@ -6035,6 +6489,8 @@ version = "0.11.1"
 description = "WebSocket library for Trio"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
     {file = "trio_websocket-0.11.1-py3-none-any.whl", hash = "sha256:520d046b0d030cf970b8b2b2e00c4c2245b3807853ecd44214acd33d74581638"},
@@ -6051,6 +6507,8 @@ version = "0.9.0"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
     {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
@@ -6072,6 +6530,8 @@ version = "0.4.15.20240106"
 description = "Typing stubs for colorama"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "types-colorama-0.4.15.20240106.tar.gz", hash = "sha256:49096b4c4cbfcaa11699a0470c36e4f5631f193fb980188e013ea64445d35656"},
     {file = "types_colorama-0.4.15.20240106-py3-none-any.whl", hash = "sha256:18294bc18f60dc0b4895de8119964a5d895f5e180c2d1308fdd33009c0fa0f38"},
@@ -6083,10 +6543,12 @@ version = "4.9.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
     {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
+markers = {main = "python_version <= \"3.11\" or python_version >= \"3.12\"", dev = "python_version < \"3.11\""}
 
 [[package]]
 name = "tzdata"
@@ -6094,6 +6556,8 @@ version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
     {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
@@ -6105,6 +6569,8 @@ version = "4.1.1"
 description = "Implementation of RFC 6570 URI Templates"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
     {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
@@ -6116,6 +6582,8 @@ version = "1.26.18"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
     {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
@@ -6135,6 +6603,8 @@ version = "0.23.2"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
     {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
@@ -6161,6 +6631,8 @@ version = "0.19.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and (python_version <= \"3.11\" or python_version >= \"3.12\")"
 files = [
     {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:de4313d7f575474c8f5a12e163f6d89c0a878bc49219641d49e6f1444369a90e"},
     {file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5588bd21cf1fcf06bded085f37e43ce0e00424197e7c10e77afd4bbefffef428"},
@@ -6205,6 +6677,8 @@ version = "5.1.0"
 description = "Automatically mock your HTTP interactions to simplify and speed up testing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = []
 develop = false
 
@@ -6225,6 +6699,8 @@ version = "20.25.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
     {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
@@ -6245,6 +6721,8 @@ version = "1.1.2"
 description = "A lightweight console printing and formatting toolkit"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wasabi-1.1.2-py3-none-any.whl", hash = "sha256:0a3f933c4bf0ed3f93071132c1b87549733256d6c8de6473c5f7ed2e171b5cf9"},
     {file = "wasabi-1.1.2.tar.gz", hash = "sha256:1aaef3aceaa32edb9c91330d29d3936c0c39fdb965743549c173cb54b16c30b5"},
@@ -6259,6 +6737,8 @@ version = "4.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "watchdog-4.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:39cb34b1f1afbf23e9562501673e7146777efe95da24fab5707b88f7fb11649b"},
     {file = "watchdog-4.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c522392acc5e962bcac3b22b9592493ffd06d1fc5d755954e6be9f4990de932b"},
@@ -6300,6 +6780,8 @@ version = "0.21.0"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "watchfiles-0.21.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:27b4035013f1ea49c6c0b42d983133b136637a527e48c132d368eb19bf1ac6aa"},
     {file = "watchfiles-0.21.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c81818595eff6e92535ff32825f31c116f867f64ff8cdf6562cd1d6b2e1e8f3e"},
@@ -6387,6 +6869,8 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and extra == \"benchmark\""
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -6398,6 +6882,8 @@ version = "0.3.4"
 description = "Weasel: A small and easy workflow system"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "weasel-0.3.4-py3-none-any.whl", hash = "sha256:ee48a944f051d007201c2ea1661d0c41035028c5d5a8bcb29a0b10f1100206ae"},
     {file = "weasel-0.3.4.tar.gz", hash = "sha256:eb16f92dc9f1a3ffa89c165e3a9acd28018ebb656e0da4da02c0d7d8ae3f6178"},
@@ -6420,6 +6906,8 @@ version = "4.0.2"
 description = "Library provides the way to automatically manage drivers for different browsers"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "webdriver_manager-4.0.2-py2.py3-none-any.whl", hash = "sha256:75908d92ecc45ff2b9953614459c633db8f9aa1ff30181cefe8696e312908129"},
     {file = "webdriver_manager-4.0.2.tar.gz", hash = "sha256:efedf428f92fd6d5c924a0d054e6d1322dd77aab790e834ee767af392b35590f"},
@@ -6436,6 +6924,8 @@ version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
     {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
@@ -6452,6 +6942,8 @@ version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"},
     {file = "websockets-12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2d225bb6886591b1746b17c0573e29804619c8f755b5598d875bb4235ea639be"},
@@ -6533,6 +7025,8 @@ version = "0.43.0"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["build"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"},
     {file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"},
@@ -6547,6 +7041,8 @@ version = "1.16.0"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wrapt-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4"},
     {file = "wrapt-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020"},
@@ -6626,6 +7122,8 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -6640,6 +7138,8 @@ version = "1.9.4"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
     {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
@@ -6743,6 +7243,8 @@ version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version <= \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
     {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
@@ -6756,6 +7258,6 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 benchmark = ["agbenchmark"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "^3.10"
 content-hash = "b3d4efee5861b32152024dada1ec61f4241122419cb538012c00a6ed55ac8a4b"
diff --git a/docs/content/imgs/aimlapi/Step 1 AutoGPT Running.png b/docs/content/imgs/aimlapi/Step 1 AutoGPT Running.png
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diff --git a/docs/content/imgs/ollama/Ollama-Add-Prompts.png b/docs/content/imgs/ollama/Ollama-Add-Prompts.png
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diff --git a/docs/content/imgs/ollama/Ollama-Credentials.png b/docs/content/imgs/ollama/Ollama-Credentials.png
new file mode 100644
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diff --git a/docs/content/imgs/ollama/Ollama-Enter-API-key.png b/docs/content/imgs/ollama/Ollama-Enter-API-key.png
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diff --git a/docs/content/imgs/ollama/Ollama-Select-Llama32.png b/docs/content/imgs/ollama/Ollama-Select-Llama32.png
new file mode 100644
index 000000000000..cd39e1b4e6cb
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diff --git a/docs/content/imgs/ollama/Ollama-Select-llama3.2.png b/docs/content/imgs/ollama/Ollama-Select-llama3.2.png
new file mode 100644
index 000000000000..327d424be0cb
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diff --git a/docs/content/imgs/ollama/Select-AI-block.png b/docs/content/imgs/ollama/Select-AI-block.png
new file mode 100644
index 000000000000..d9c41db4a510
Binary files /dev/null and b/docs/content/imgs/ollama/Select-AI-block.png differ
diff --git a/docs/content/index.md b/docs/content/index.md
index 243b56ea4193..d22bb2885e91 100644
--- a/docs/content/index.md
+++ b/docs/content/index.md
@@ -64,10 +64,12 @@ You can learn more under: [Build your own Blocks](platform/new_blocks.md)
 
 The platform comes pre-integrated with cutting-edge LLM providers:
 
-- OpenAI
-- Anthropic
-- Groq
-- Llama
+- OpenAI - https://openai.com/
+- Anthropic - https://www.anthropic.com/
+- Groq - https://groq.com/
+- Llama - https://llamaindex.ai/
+- AI/ML API - [https://aimlapi.com/](https://aimlapi.com/?utm_source=autogpt&utm_medium=github&utm_campaign=integration)
+  - AI/ML API provides 300+ AI models including Deepseek, Gemini, ChatGPT. The models run at enterprise-grade rate limits and uptimes.
 
 ## License Overview 
 
diff --git a/docs/content/platform/advanced_setup.md b/docs/content/platform/advanced_setup.md
index cfe8f9ae9bb4..d4c699cd3952 100644
--- a/docs/content/platform/advanced_setup.md
+++ b/docs/content/platform/advanced_setup.md
@@ -20,11 +20,11 @@ KEY2=value2
 
 The server will automatically load the `.env` file when it starts. You can also set the environment variables directly in your shell. Refer to your operating system's documentation on how to set environment variables in the current session.
 
-The valid options are listed in `.env.example` in the root of the builder and server directories. You can copy the `.env.example` file to `.env` and modify the values as needed.
+The valid options are listed in `.env.default` in the root of the builder and server directories. You can copy the `.env.default` file to `.env` and modify the values as needed.
 
 ```bash
-# Copy the .env.example file to .env
-cp .env.example .env
+# Copy the .env.default file to .env
+cp .env.default .env
 ```
 
 ### Secrets directory
@@ -64,3 +64,78 @@ You can then run the migrations from the `backend` directory.
 cd ../backend
 prisma migrate dev --schema postgres/schema.prisma
 ```
+
+## AutoGPT Agent Server Advanced set up
+
+This guide walks you through a dockerized set up, with an external DB (postgres)
+
+### Setup
+
+We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
+
+0. Install Poetry
+    ```sh
+    pip install poetry
+    ```
+    
+1. Configure Poetry to use .venv in your project directory
+    ```sh
+    poetry config virtualenvs.in-project true
+    ```
+
+2. Enter the poetry shell
+
+   ```sh
+   poetry shell
+   ```
+
+3. Install dependencies
+
+   ```sh
+   poetry install
+   ```
+
+4. Copy .env.default to .env
+
+   ```sh
+   cp .env.default .env
+   ```
+
+5. Generate the Prisma client
+
+   ```sh
+   poetry run prisma generate
+   ```
+
+   > In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
+   >
+   > ```sh
+   > pip uninstall prisma
+   > ```
+   >
+   > Then run the generation again. The path _should_ look something like this:  
+   > `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
+
+6. Run the postgres database from the /rnd folder
+
+   ```sh
+   cd autogpt_platform/
+   docker compose up -d
+   ```
+
+7. Run the migrations (from the backend folder)
+
+   ```sh
+   cd ../backend
+   prisma migrate deploy
+   ```
+
+### Running The Server
+
+#### Starting the server directly
+
+Run the following command:
+
+```sh
+poetry run app
+```
diff --git a/docs/content/platform/aimlapi.md b/docs/content/platform/aimlapi.md
new file mode 100644
index 000000000000..785fc50e3a89
--- /dev/null
+++ b/docs/content/platform/aimlapi.md
@@ -0,0 +1,139 @@
+
+# 🧠 Running AI/ML API with AutoGPT
+
+Follow these steps to connect **AI/ML API** with the **AutoGPT** platform for high-performance AI text generation.
+
+---
+
+## ✅ Prerequisites
+
+1. Make sure you have gone through and completed the [AutoGPT Setup Guide](https://docs.agpt.co/platform/getting-started/), and AutoGPT is running locally at `http://localhost:3000`.
+2. You have an **API key** from [AI/ML API](https://aimlapi.com/app/keys?utm_source=autogpt&utm_medium=github&utm_campaign=integration).
+
+---
+
+## ⚙️ Setup Steps
+
+### 1. Start AutoGPT Locally
+
+Follow the official guide:
+[📖 AutoGPT Getting Started Guide](https://docs.agpt.co/platform/getting-started/)
+
+Make sure AutoGPT is running and accessible at:
+[http://localhost:3000](http://localhost:3000)
+
+> 💡 Keep AutoGPT running in a terminal or Docker throughout the session.
+
+![Step 1 AutoGPT Running](../imgs/aimlapi/Step%201%20AutoGPT%20Running.png)
+
+---
+
+### 2. Open the Visual Builder
+
+Open your browser and go to:
+[http://localhost:3000/build](http://localhost:3000/build)
+
+Or click **“Build”** in the navigation bar.
+
+![Step 2 Build Screen](../imgs/aimlapi/Step%202%20Build%20Screen.png)
+
+---
+
+### 3. Add an AI Text Generator Block
+
+1. Click the **"Blocks"** button on the left sidebar.
+
+![Step 3 AI Block](../imgs/aimlapi/Step%203%20AI%20Block.png)
+
+2. In the search bar, type `AI Text Generator`.
+3. Drag the block into the canvas.
+
+![Step 4 AI Generator Block](../imgs/aimlapi/Step%204%20AI%20Generator%20Block.png)
+
+---
+
+### 4. Select an AI/ML API Model
+
+Click the AI Text Generator block to configure it.
+
+In the **LLM Model** dropdown, select one of the supported models from AI/ML API:
+
+![Step 5 AIMLAPI Models](../imgs/aimlapi/Step%205%20AIMLAPI%20Models.png)
+
+| Model ID                                       | Speed  | Reasoning Quality | Best For                 |
+| ---------------------------------------------- | ------ | ----------------- | ------------------------ |
+| `Qwen/Qwen2.5-72B-Instruct-Turbo`              | Medium | High              | Text-based tasks         |
+| `nvidia/llama-3.1-nemotron-70b-instruct`       | Medium | High              | Analytics and reasoning  |
+| `meta-llama/Llama-3.3-70B-Instruct-Turbo`      | Low    | Very High         | Complex multi-step tasks |
+| `meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo` | Low    | Very High         | Deep reasoning           |
+| `meta-llama/Llama-3.2-3B-Instruct-Turbo`       | High   | Medium            | Fast responses           |
+
+> ✅ These models are available via OpenAI-compatible API from [AI/ML API](https://aimlapi.com/app/?utm_source=autogpt&utm_medium=github&utm_campaign=integration)
+
+---
+
+### 5. Configure the Prompt and API Key
+
+Inside the **AI Text Generator** block:
+
+1. Enter your prompt text in the **Prompt** field.
+2. Enter your **AI/ML API Key** in the designated field.
+
+🔐 You can get your key from:
+[https://aimlapi.com/app/keys/](https://aimlapi.com/app/keys?utm_source=autogpt&utm_medium=github&utm_campaign=integration)
+
+![Key Placeholder](../imgs/aimlapi/Step%206.1%20Key%20Placeholder.png)
+
+![Key Empty](../imgs/aimlapi/Step%206.2%20No%20Fill%20Key%20Placeholder.png)
+
+![Key Filled](../imgs/aimlapi/Step%206.3%20Filled%20Key%20Placeholder.png)
+
+![Overview](../imgs/aimlapi/Step%206.4%20Overview.png)
+
+---
+
+### 6. Save Your Agent
+
+Click the **“Save”** button at the top-right of the builder interface:
+
+1. Give your agent a name (e.g., `aimlapi_test_agent`).
+2. Click **“Save Agent”** to confirm.
+
+![Save Agent](../imgs/aimlapi/Step%207.1%20Save.png)
+
+> 💡 Saving allows reuse, scheduling, and chaining in larger workflows.
+
+---
+
+### 7. Run Your Agent
+
+From the workspace:
+
+1. Press **“Run”** next to your saved agent.
+2. The request will be sent to the selected AI/ML API model.
+
+![Run Agent](../imgs/aimlapi/Step%208%20Run.png)
+
+---
+
+### 8. View the Output
+
+1. Scroll to the **AI Text Generator** block.
+2. Check the **Output** panel below it.
+3. You can copy, export, or pass the result to further blocks.
+
+![Agent Output](../imgs/aimlapi/Step%209%20Output.png)
+
+---
+
+## 🔄 Expand Your Agent
+
+Now that AI/ML API is connected, expand your workflow by chaining additional blocks:
+
+* 🔧 **Tools** – fetch URLs, call APIs, scrape data
+* 🧠 **Memory** – retain context across interactions
+* ⚙️ **Actions / Chains** – create full pipelines
+
+---
+
+🎉 You’re now generating AI responses using enterprise-grade models from **AI/ML API** in **AutoGPT**!
diff --git a/docs/content/platform/blocks/blocks.md b/docs/content/platform/blocks/blocks.md
index 0bb6790e8c8a..abaa29f51c30 100644
--- a/docs/content/platform/blocks/blocks.md
+++ b/docs/content/platform/blocks/blocks.md
@@ -86,6 +86,7 @@ Below is a comprehensive list of all available blocks, categorized by their prim
 | [Unreal Text to Speech](text_to_speech_block.md#unreal-text-to-speech) | Converts text to speech using Unreal Speech API |
 | [AI Shortform Video Creator](ai_shortform_video_block.md#ai-shortform-video-creator) | Generates short-form videos using AI |
 | [Replicate Flux Advanced Model](replicate_flux_advanced.md#replicate-flux-advanced-model) | Creates images using Replicate's Flux models |
+| [Flux Kontext](flux_kontext.md#flux-kontext) | Text-based image editing using Flux Kontext |
 
 ## Miscellaneous
 | Block Name | Description |
@@ -99,6 +100,8 @@ Below is a comprehensive list of all available blocks, categorized by their prim
 | Block Name | Description |
 |------------|-------------|
 | [Gmail Read](google/gmail.md#gmail-read) | Retrieves and reads emails from a Gmail account |
+| [Gmail Get Thread](google/gmail.md#gmail-get-thread) | Returns every message in a Gmail thread |
+| [Gmail Reply](google/gmail.md#gmail-reply) | Sends a reply that stays in the same thread |
 | [Gmail Send](google/gmail.md#gmail-send) | Sends emails using a Gmail account |
 | [Gmail List Labels](google/gmail.md#gmail-list-labels) | Retrieves all labels from a Gmail account |
 | [Gmail Add Label](google/gmail.md#gmail-add-label) | Adds a label to a specific email in a Gmail account |
@@ -129,4 +132,69 @@ Below is a comprehensive list of all available blocks, categorized by their prim
 | [GitHub Unassign PR Reviewer](github/pull_requests.md#github-unassign-pr-reviewer) | Removes an assigned reviewer from a specific GitHub pull request |
 | [GitHub List PR Reviewers](github/pull_requests.md#github-list-pr-reviewers) | Retrieves a list of all assigned reviewers for a specific GitHub pull request |
 
-This comprehensive list covers all the blocks available in AutoGPT. Each block is designed to perform a specific task, and they can be combined to create powerful, automated workflows. For more detailed information on each block, click on its name to view the full documentation.
\ No newline at end of file
+## Twitter Integration
+| Block Name | Description |
+|------------|-------------|
+| [Twitter Post Tweet](twitter/twitter.md#twitter-post-tweet-block) | Creates a tweet on Twitter with text content and optional attachments including media, polls, quotes, or deep links |
+| [Twitter Delete Tweet](twitter/twitter.md#twitter-delete-tweet-block) | Deletes a specified tweet using its tweet ID |
+| [Twitter Search Recent Tweets](twitter/twitter.md#twitter-search-recent-tweets-block) | Searches for tweets matching specified criteria with options for filtering and pagination |
+| [Twitter Get Quote Tweets](twitter/twitter.md#twitter-get-quote-tweets-block) | Gets tweets that quote a specified tweet ID with options for pagination and filtering |
+| [Twitter Retweet](twitter/twitter.md#twitter-retweet-block) | Creates a retweet of a specified tweet using its tweet ID |
+| [Twitter Remove Retweet](twitter/twitter.md#twitter-remove-retweet-block) | Removes an existing retweet of a specified tweet |
+| [Twitter Get Retweeters](twitter/twitter.md#twitter-get-retweeters-block) | Gets list of users who have retweeted a specified tweet with pagination and filtering options |
+| [Twitter Get User Mentions](twitter/twitter.md#twitter-get-user-mentions-block) | Gets tweets where a specific user is mentioned using their user ID |
+| [Twitter Get Home Timeline](twitter/twitter.md#twitter-get-home-timeline-block) | Gets recent tweets and retweets from authenticated user and followed accounts |
+| [Twitter Get User](twitter/twitter.md#twitter-get-user-block) | Gets detailed profile information for a single Twitter user |
+| [Twitter Get Users](twitter/twitter.md#twitter-get-users-block) | Gets profile information for multiple Twitter users (up to 100) |
+| [Twitter Search Spaces](twitter/twitter.md#twitter-search-spaces-block) | Searches for Twitter Spaces matching title keywords with state filtering |
+| [Twitter Get Spaces](twitter/twitter.md#twitter-get-spaces-block) | Gets information about multiple Twitter Spaces by Space IDs or creator IDs |
+| [Twitter Get Space By Id](twitter/twitter.md#twitter-get-space-by-id-block) | Gets detailed information about a single Twitter Space |
+| [Twitter Get Space Tweets](twitter/twitter.md#twitter-get-space-tweets-block) | Gets tweets that were shared during a Twitter Space session |
+| [Twitter Follow List](twitter/twitter.md#twitter-follow-list-block) | Follows a Twitter List using its List ID |
+| [Twitter Unfollow List](twitter/twitter.md#twitter-unfollow-list-block) | Unfollows a previously followed Twitter List |
+| [Twitter Get List](twitter/twitter.md#twitter-get-list-block) | Gets detailed information about a specific Twitter List |
+| [Twitter Get Owned Lists](twitter/twitter.md#twitter-get-owned-lists-block) | Gets all Twitter Lists owned by a specified user |
+| [Twitter Get List Members](twitter/twitter.md#twitter-get-list-members-block) | Gets information about members of a specified Twitter List |
+| [Twitter Add List Member](twitter/twitter.md#twitter-add-list-member-block) | Adds a specified user as a member to a Twitter List |
+| [Twitter Remove List Member](twitter/twitter.md#twitter-remove-list-member-block) | Removes a specified user from a Twitter List |
+| [Twitter Get List Tweets](twitter/twitter.md#twitter-get-list-tweets-block) | Gets tweets posted within a specified Twitter List |
+| [Twitter Create List](twitter/twitter.md#twitter-create-list-block) | Creates a new Twitter List with specified name and settings |
+| [Twitter Update List](twitter/twitter.md#twitter-update-list-block) | Updates name and/or description of an existing Twitter List |
+| [Twitter Delete List](twitter/twitter.md#twitter-delete-list-block) | Deletes a specified Twitter List |
+| [Twitter Pin List](twitter/twitter.md#twitter-pin-list-block) | Pins a Twitter List to appear at top of Lists |
+| [Twitter Unpin List](twitter/twitter.md#twitter-unpin-list-block) | Removes a Twitter List from pinned Lists |
+| [Twitter Get Pinned Lists](twitter/twitter.md#twitter-get-pinned-lists-block) | Gets all Twitter Lists that are currently pinned |
+| Twitter List Get Followers | Working... Gets all followers of a specified Twitter List |
+| Twitter Get Followed Lists | Working... Gets all Lists that a user follows |
+| Twitter Get DM Events | Working... Retrieves direct message events for a user |
+| Twitter Send Direct Message | Working... Sends a direct message to a specified user |
+| Twitter Create DM Conversation | Working... Creates a new direct message conversation |
+
+## Todoist Integration
+| Block Name | Description |
+|------------|-------------|
+| [Todoist Create Label](todoist.md#todoist-create-label) | Creates a new label in Todoist |
+| [Todoist List Labels](todoist.md#todoist-list-labels) | Retrieves all personal labels from Todoist |
+| [Todoist Get Label](todoist.md#todoist-get-label) | Retrieves a specific label by ID |
+| [Todoist Create Task](todoist.md#todoist-create-task) | Creates a new task in Todoist |
+| [Todoist Get Tasks](todoist.md#todoist-get-tasks) | Retrieves active tasks from Todoist |
+| [Todoist Update Task](todoist.md#todoist-update-task) | Updates an existing task |
+| [Todoist Close Task](todoist.md#todoist-close-task) | Completes/closes a task |
+| [Todoist Reopen Task](todoist.md#todoist-reopen-task) | Reopens a completed task |
+| [Todoist Delete Task](todoist.md#todoist-delete-task) | Permanently deletes a task |
+| [Todoist List Projects](todoist.md#todoist-list-projects) | Retrieves all projects from Todoist |
+| [Todoist Create Project](todoist.md#todoist-create-project) | Creates a new project in Todoist |
+| [Todoist Get Project](todoist.md#todoist-get-project) | Retrieves details for a specific project |
+| [Todoist Update Project](todoist.md#todoist-update-project) | Updates an existing project |
+| [Todoist Delete Project](todoist.md#todoist-delete-project) | Deletes a project and its contents |
+| [Todoist List Collaborators](todoist.md#todoist-list-collaborators) | Retrieves collaborators on a project |
+| [Todoist List Sections](todoist.md#todoist-list-sections) | Retrieves sections from Todoist |
+| [Todoist Get Section](todoist.md#todoist-get-section) | Retrieves details for a specific section |
+| [Todoist Delete Section](todoist.md#todoist-delete-section) | Deletes a section and its tasks |
+| [Todoist Create Comment](todoist.md#todoist-create-comment) | Creates a new comment on a task or project |
+| [Todoist Get Comments](todoist.md#todoist-get-comments) | Retrieves all comments for a task or project |
+| [Todoist Get Comment](todoist.md#todoist-get-comment) | Retrieves a specific comment by ID |
+| [Todoist Update Comment](todoist.md#todoist-update-comment) | Updates an existing comment |
+| [Todoist Delete Comment](todoist.md#todoist-delete-comment) | Deletes a comment |
+
+This comprehensive list covers all the blocks available in AutoGPT. Each block is designed to perform a specific task, and they can be combined to create powerful, automated workflows. For more detailed information on each block, click on its name to view the full documentation.
diff --git a/docs/content/platform/blocks/flux_kontext.md b/docs/content/platform/blocks/flux_kontext.md
new file mode 100644
index 000000000000..3aced2ba1f37
--- /dev/null
+++ b/docs/content/platform/blocks/flux_kontext.md
@@ -0,0 +1,31 @@
+# Flux Kontext
+
+## What it is
+An internal block that performs text-based image editing using BlackForest Labs' Flux Kontext models.
+
+## What it does
+Takes a prompt describing the desired transformation and optionally a reference image, then returns a new image URL.
+
+## How it works
+The block sends your prompt, image, and settings to the selected Flux Kontext model on Replicate. The service processes the request and returns a link to the edited image.
+
+## Inputs
+| Input        | Description                                                                 |
+|--------------|-----------------------------------------------------------------------------|
+| Credentials  | Replicate API key with permissions for Flux Kontext models                  |
+| Prompt       | Text instruction describing the desired edit                                |
+| Input Image  | (Optional) Reference image URI (jpeg, png, gif, webp)                      |
+| Aspect Ratio | Aspect ratio of the generated image (e.g. match_input_image, 1:1, 16:9, etc.) |
+| Seed         | (Optional, advanced) Random seed for reproducible generation                |
+| Model        | Model variant to use: Flux Kontext Pro or Flux Kontext Max                  |
+
+## Outputs
+| Output     | Description                              |
+|------------|------------------------------------------|
+| image_url  | URL of the transformed image             |
+| error      | Error message if generation failed       |
+
+## Use Cases
+- Enhance a marketing image by requesting "add soft lighting and a subtle vignette" while providing the original asset as the reference image.
+- Generate social media assets with specific aspect ratios and style prompts.
+- Apply creative edits to product photos using text instructions.
diff --git a/docs/content/platform/blocks/google/gmail.md b/docs/content/platform/blocks/google/gmail.md
index a23ffb874a4a..f5c8a9e571e2 100644
--- a/docs/content/platform/blocks/google/gmail.md
+++ b/docs/content/platform/blocks/google/gmail.md
@@ -15,13 +15,13 @@ The block connects to the user's Gmail account using their credentials, performs
 | Input | Description |
 |-------|-------------|
 | Credentials | The user's Gmail account credentials for authentication |
-| Query | A search query to filter emails (e.g., "is:unread" for unread emails) |
+| Query | A search query to filter emails (e.g., "is:unread" for unread emails). Ignored if using only the `gmail.metadata` scope. |
 | Max Results | The maximum number of emails to retrieve |
 
 ### Outputs
 | Output | Description |
 |--------|-------------|
-| Email | Detailed information about a single email |
+| Email | Detailed information about a single email (now includes `threadId`) |
 | Emails | A list of email data for multiple emails |
 | Error | An error message if something goes wrong during the process |
 
@@ -141,4 +141,63 @@ The block first finds the ID of the specified label in the user's Gmail account.
 | Error | An error message if something goes wrong during the process |
 
 ### Possible use case
-Automatically removing the "Unread" label from emails after they have been processed by a customer service representative.
\ No newline at end of file
+Automatically removing the "Unread" label from emails after they have been processed by a customer service representative.
+
+---
+
+## Gmail Get Thread
+
+### What it is
+A block that retrieves an entire Gmail thread.
+
+### What it does
+Given a `threadId`, this block fetches all messages in that thread and decodes the text bodies.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | The user's Gmail account credentials for authentication |
+| threadId | The ID of the thread to fetch |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Thread | Gmail thread with decoded messages |
+| Error | An error message if something goes wrong |
+
+### Possible use case
+Checking if a recipient replied in an existing conversation.
+
+---
+
+## Gmail Reply
+
+### What it is
+A block that sends a reply within an existing Gmail thread.
+
+### What it does
+This block builds a properly formatted reply email and sends it so Gmail keeps it in the same conversation.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | The user's Gmail account credentials for authentication |
+| threadId | The thread to reply in |
+| parentMessageId | The ID of the message you are replying to |
+| To | List of recipients |
+| Cc | List of CC recipients |
+| Bcc | List of BCC recipients |
+| Subject | Optional subject (defaults to `Re:` prefix) |
+| Body | The email body |
+| Attachments | Optional files to include |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| MessageId | The ID of the sent message |
+| ThreadId | The thread the reply belongs to |
+| Message | Full Gmail message object |
+| Error | Error message if something goes wrong |
+
+### Possible use case
+Automatically respond "Thanks, see you then" to a scheduling email while keeping the conversation tidy.
diff --git a/docs/content/platform/blocks/llm.md b/docs/content/platform/blocks/llm.md
index 02c0b7998517..4eafa62beeed 100644
--- a/docs/content/platform/blocks/llm.md
+++ b/docs/content/platform/blocks/llm.md
@@ -156,4 +156,18 @@ The block formulates a prompt based on the given focus or source data, sends it
 | Error | Any error message if the process fails |
 
 ### Possible use case
-Automatically generating a list of key points or action items from a long meeting transcript or summarizing the main topics discussed in a series of documents.
\ No newline at end of file
+Automatically generating a list of key points or action items from a long meeting transcript or summarizing the main topics discussed in a series of documents.
+
+# Providers
+There are severals providers that AutoGPT users can use for running inference with LLM models.
+
+## Llama API
+Llama API is a Meta-hosted API service that helps you integrate Llama models quickly and efficiently. Using OpenAI comptability endpoints, you can easily access the power of Llama models without the need for complex setup or configuration!
+
+Join the [waitlist](https://llama.developer.meta.com?utm_source=partner-autogpt&utm_medium=readme) to get access!
+
+Try the Llama API provider by selecting any of the following LLM Model names from the AI blocks mentioned above:
+- Llama-4-Scout-17B-16E-Instruct-FP8
+- Llama-4-Maverick-17B-128E-Instruct-FP8
+- Llama-3.3-8B-Instruct
+- Llama-3-70B-Instruct
diff --git a/docs/content/platform/blocks/todoist.md b/docs/content/platform/blocks/todoist.md
new file mode 100644
index 000000000000..65195f0b8117
--- /dev/null
+++ b/docs/content/platform/blocks/todoist.md
@@ -0,0 +1,722 @@
+# Todoist Blocks
+
+## Todoist Create Label
+
+### What it is
+A block that creates a new label in Todoist.
+
+### What it does
+Creates a new label in Todoist with specified name, order, color and favorite status.
+
+### How it works
+It takes label details as input, connects to Todoist API, creates the label and returns the created label's details.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Name | Name of the label |
+| Order | Optional label order |
+| Color | Optional color of the label icon |
+| Is Favorite | Whether label is marked as favorite |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ID | ID of the created label |
+| Name | Name of the label |
+| Color | Color of the label |
+| Order | Label order |
+| Is Favorite | Favorite status |
+| Error | Error message if request failed |
+
+### Possible use case
+Creating new labels to organize and categorize tasks in Todoist.
+
+---
+
+## Todoist List Labels
+
+### What it is
+A block that retrieves all personal labels from Todoist.
+
+### What it does
+Fetches all personal labels from the user's Todoist account.
+
+### How it works
+Connects to Todoist API using provided credentials and retrieves all labels.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Labels | List of complete label data |
+| Label IDs | List of label IDs |
+| Label Names | List of label names |
+| Error | Error message if request failed |
+
+### Possible use case
+Getting an overview of all labels to organize tasks or find specific labels.
+
+---
+
+## Todoist Get Label
+
+### What it is
+A block that retrieves a specific label by ID.
+
+### What it does
+Fetches details of a specific label using its ID.
+
+### How it works
+Uses the label ID to retrieve label details from Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Label ID | ID of label to retrieve |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ID | Label ID |
+| Name | Label name |
+| Color | Label color |
+| Order | Label order |
+| Is Favorite | Favorite status |
+| Error | Error message if request failed |
+
+### Possible use case
+Looking up details of a specific label for editing or verification.
+
+---
+
+## Todoist Create Task
+
+### What it is
+A block that creates a new task in Todoist.
+
+### What it does
+Creates a new task with specified content, description, project assignment and other optional parameters.
+
+### How it works
+Takes task details and creates a new task via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Content | Task content |
+| Description | Optional task description |
+| Project ID | Optional project to add task to |
+| Section ID | Optional section to add task to |
+| Parent ID | Optional parent task ID |
+| Order | Optional task order |
+| Labels | Optional task labels |
+| Priority | Optional priority (1-4) |
+| Due Date | Optional due date |
+| Deadline Date | Optional deadline date |
+| Assignee ID | Optional assignee |
+| Duration Unit | Optional duration unit |
+| Duration | Optional duration amount |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ID | Created task ID |
+| URL | Task URL |
+| Complete Data | Complete task data |
+| Error | Error message if request failed |
+
+### Possible use case
+Creating new tasks with full customization of parameters.
+
+---
+
+## Todoist Get Tasks
+
+### What it is
+A block that retrieves active tasks from Todoist.
+
+### What it does
+Fetches tasks based on optional filters like project, section, label etc.
+
+### How it works
+Queries Todoist API with provided filters to get matching tasks.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Project ID | Optional filter by project |
+| Section ID | Optional filter by section |
+| Label | Optional filter by label |
+| Filter | Optional custom filter string |
+| Lang | Optional filter language |
+| IDs | Optional specific task IDs |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| IDs | List of task IDs |
+| URLs | List of task URLs |
+| Complete Data | Complete task data |
+| Error | Error message if request failed |
+
+### Possible use case
+Retrieving tasks matching specific criteria for review or processing.
+
+---
+
+## Todoist Update Task
+
+### What it is
+A block that updates an existing task.
+
+### What it does
+Updates specified fields of an existing task.
+
+### How it works
+Takes task ID and updated fields, applies changes via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Task ID | ID of task to update |
+| Content | New task content |
+| Description | New description |
+| Project ID | New project ID |
+| Section ID | New section ID |
+| Parent ID | New parent task ID |
+| Order | New order |
+| Labels | New labels |
+| Priority | New priority |
+| Due Date | New due date |
+| Deadline Date | New deadline date |
+| Assignee ID | New assignee |
+| Duration Unit | New duration unit |
+| Duration | New duration |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether update succeeded |
+| Error | Error message if failed |
+
+### Possible use case
+Modifying task details like due dates, priority etc.
+
+---
+
+## Todoist Close Task
+
+### What it is
+A block that completes/closes a task.
+
+### What it does
+Marks a task as complete in Todoist.
+
+### How it works
+Uses task ID to mark it complete via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Task ID | ID of task to close |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether task was closed |
+| Error | Error message if failed |
+
+### Possible use case
+Marking tasks as done in automated workflows.
+
+---
+
+## Todoist Reopen Task
+
+### What it is
+A block that reopens a completed task.
+
+### What it does
+Marks a completed task as active again.
+
+### How it works
+Uses task ID to reactivate via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Task ID | ID of task to reopen |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether task was reopened |
+| Error | Error message if failed |
+
+### Possible use case
+Reactivating tasks that were closed accidentally or need to be repeated.
+
+---
+
+## Todoist Delete Task
+
+### What it is
+A block that permanently deletes a task.
+
+### What it does
+Removes a task completely from Todoist.
+
+### How it works
+Uses task ID to delete via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Task ID | ID of task to delete |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether deletion succeeded |
+| Error | Error message if failed |
+
+### Possible use case
+Removing unwanted or obsolete tasks from the system.
+
+---
+
+## Todoist List Projects
+
+### What it is
+A block that retrieves all projects from Todoist.
+
+### What it does
+Fetches all projects and their details from a user's Todoist account.
+
+### How it works
+Connects to Todoist API using provided credentials and retrieves all projects.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Names List | List of project names |
+| IDs List | List of project IDs |
+| URL List | List of project URLs |
+| Complete Data | Complete project data |
+| Error | Error message if request failed |
+
+### Possible use case
+Getting an overview of all projects for organization or automation.
+
+---
+
+## Todoist Create Project
+
+### What it is
+A block that creates a new project in Todoist.
+
+### What it does
+Creates a new project with specified name, parent project, color and other settings.
+
+### How it works
+Takes project details and creates via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Name | Name of the project |
+| Parent ID | Optional parent project ID |
+| Color | Optional color of project icon |
+| Is Favorite | Whether project is favorite |
+| View Style | Display style (list/board) |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether creation succeeded |
+| Error | Error message if failed |
+
+### Possible use case
+Creating new projects programmatically for workflow automation.
+
+---
+
+## Todoist Get Project
+
+### What it is
+A block that retrieves details for a specific project.
+
+### What it does
+Fetches complete details of a single project by ID.
+
+### How it works
+Uses project ID to retrieve details via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Project ID | ID of project to get |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Project ID | ID of the project |
+| Project Name | Name of the project |
+| Project URL | URL of the project |
+| Complete Data | Complete project data |
+| Error | Error message if failed |
+
+### Possible use case
+Looking up project details for verification or editing.
+
+---
+
+## Todoist Update Project
+
+### What it is
+A block that updates an existing project.
+
+### What it does
+Updates specified fields of an existing project.
+
+### How it works
+Takes project ID and updated fields, applies via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Project ID | ID of project to update |
+| Name | New project name |
+| Color | New color for icon |
+| Is Favorite | New favorite status |
+| View Style | New display style |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether update succeeded |
+| Error | Error message if failed |
+
+### Possible use case
+Modifying project settings or reorganizing projects.
+
+---
+
+## Todoist Delete Project
+
+### What it is
+A block that deletes a project and its contents.
+
+### What it does
+Permanently removes a project including sections and tasks.
+
+### How it works
+Uses project ID to delete via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Project ID | ID of project to delete |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether deletion succeeded |
+| Error | Error message if failed |
+
+### Possible use case
+Removing completed or obsolete projects.
+
+---
+
+## Todoist List Collaborators
+
+### What it is
+A block that retrieves collaborators on a project.
+
+### What it does
+Fetches all collaborators and their details for a specific project.
+
+### How it works
+Uses project ID to get collaborator list via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Project ID | ID of project to check |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Collaborator IDs | List of collaborator IDs |
+| Collaborator Names | List of collaborator names |
+| Collaborator Emails | List of collaborator emails |
+| Complete Data | Complete collaborator data |
+| Error | Error message if failed |
+
+### Possible use case
+Managing project sharing and collaboration.
+
+---
+
+## Todoist List Sections
+
+### What it is
+A block that retrieves sections from Todoist.
+
+### What it does
+Fetches all sections, optionally filtered by project.
+
+### How it works
+Connects to Todoist API to retrieve sections list.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Project ID | Optional project filter |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Names List | List of section names |
+| IDs List | List of section IDs |
+| Complete Data | Complete section data |
+| Error | Error message if failed |
+
+### Possible use case
+Getting section information for task organization.
+
+---
+
+## Todoist Get Section
+
+### What it is
+A block that retrieves details for a specific section.
+
+### What it does
+Fetches complete details of a single section by ID.
+
+### How it works
+Uses section ID to retrieve details via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Section ID | ID of section to get |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ID | Section ID |
+| Project ID | Parent project ID |
+| Order | Section order |
+| Name | Section name |
+| Error | Error message if failed |
+
+### Possible use case
+Looking up section details for task management.
+
+---
+
+## Todoist Delete Section
+
+### What it is
+A block that deletes a section and its tasks.
+
+### What it does
+Permanently removes a section including all tasks.
+
+### How it works
+Uses section ID to delete via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Section ID | ID of section to delete |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether deletion succeeded |
+| Error | Error message if failed |
+
+### Possible use case
+Removing unused sections or reorganizing projects.
+
+---
+
+## Todoist Create Comment
+
+### What it is
+A block that creates a new comment on a Todoist task or project.
+
+### What it does
+Creates a comment with specified content on either a task or project.
+
+### How it works
+Takes comment content and task/project ID, creates comment via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Content | Comment content |
+| ID Type | Task ID or Project ID to comment on |
+| Attachment | Optional file attachment |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ID | ID of created comment |
+| Content | Comment content |
+| Posted At | Comment timestamp |
+| Task ID | Associated task ID |
+| Project ID | Associated project ID |
+| Error | Error message if request failed |
+
+### Possible use case
+Adding notes and comments to tasks or projects automatically.
+
+---
+
+## Todoist Get Comments
+
+### What it is
+A block that retrieves all comments for a task or project.
+
+### What it does
+Fetches all comments associated with a specific task or project.
+
+### How it works
+Uses task/project ID to get comments list via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| ID Type | Task ID or Project ID to get comments for |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Comments | List of comments |
+| Error | Error message if request failed |
+
+### Possible use case
+Reviewing comment history on tasks or projects.
+
+---
+
+## Todoist Get Comment
+
+### What it is
+A block that retrieves a specific comment by ID.
+
+### What it does
+Fetches details of a single comment using its ID.
+
+### How it works
+Uses comment ID to retrieve details via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Comment ID | ID of comment to retrieve |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Content | Comment content |
+| ID | Comment ID |
+| Posted At | Comment timestamp |
+| Project ID | Associated project ID |
+| Task ID | Associated task ID |
+| Attachment | Optional file attachment |
+| Error | Error message if request failed |
+
+### Possible use case
+Looking up specific comment details for reference.
+
+---
+
+## Todoist Update Comment
+
+### What it is
+A block that updates an existing comment.
+
+### What it does
+Updates the content of a specific comment.
+
+### How it works
+Takes comment ID and new content, updates via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Comment ID | ID of comment to update |
+| Content | New content for the comment |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether update succeeded |
+| Error | Error message if request failed |
+
+### Possible use case
+Modifying existing comments to fix errors or update information.
+
+---
+
+## Todoist Delete Comment
+
+### What it is
+A block that deletes a comment.
+
+### What it does
+Permanently removes a comment from a task or project.
+
+### How it works
+Uses comment ID to delete via Todoist API.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| Credentials | Todoist API credentials |
+| Comment ID | ID of comment to delete |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| Success | Whether deletion succeeded |
+| Error | Error message if request failed |
+
+### Possible use case
+Removing outdated or incorrect comments from tasks/projects.
diff --git a/docs/content/platform/blocks/twitter/twitter.md b/docs/content/platform/blocks/twitter/twitter.md
new file mode 100644
index 000000000000..bdf8f2fa2195
--- /dev/null
+++ b/docs/content/platform/blocks/twitter/twitter.md
@@ -0,0 +1,1966 @@
+# Twitter API Integration Blocks
+
+## Twitter Post Tweet Block
+
+### What it is
+A block that creates tweets on Twitter with various optional attachments and settings.
+
+### What it does
+This block allows posting tweets with text content and optional attachments like media, polls, quotes, or deep links.
+
+### How it works
+It uses the Twitter API (Tweepy) to create a tweet with the specified content and settings, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_text | Main text content of the tweet |
+| attachment | Optional media, deep link, poll, place or quote attachment |
+| for_super_followers_only | Whether the tweet is exclusively for super followers |
+| exclude_reply_user_ids | User IDs to exclude from reply thread |
+| in_reply_to_tweet_id | ID of tweet being replied to |
+| reply_settings | Who can reply to the tweet |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| tweet_id | ID of the created tweet |
+| tweet_url | URL to view the tweet |
+| error | Error message if posting failed |
+
+### Possible use case
+Automating tweet publishing with rich content like polls, media or quotes.
+
+---
+
+## Twitter Delete Tweet Block
+
+### What it is
+A block that deletes a specified tweet on Twitter.
+
+### What it does
+This block removes an existing tweet using its tweet ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to delete the tweet with the given ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to delete |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether deletion was successful |
+| error | Error message if deletion failed |
+
+### Possible use case
+Automated cleanup of old or irrelevant tweets.
+
+---
+
+## Twitter Search Recent Tweets Block
+
+### What it is
+A block that searches recent public tweets on Twitter.
+
+### What it does
+This block searches for tweets matching specified criteria with options for filtering and pagination.
+
+### How it works
+It queries the Twitter API (Tweepy) search endpoint with the provided parameters and returns matching tweets and metadata.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| query | Search query string |
+| max_results | Maximum number of results per page |
+| pagination | Token for getting next page of results |
+| expansions | Additional data fields to include |
+| start_time | Start of search time window |
+| end_time | End of search time window |
+| since_id | Return results after this tweet ID |
+| until_id | Return results before this tweet ID |
+| sort_order | Order of returned results |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| tweet_ids | List of matching tweet IDs |
+| tweet_texts | List of tweet text contents |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data |
+| included | Additional requested data |
+| meta | Pagination and result metadata |
+| error | Error message if search failed |
+
+### Possible use case
+Monitoring Twitter for mentions of specific topics or hashtags.
+
+---
+
+## Twitter Get Quote Tweets Block
+
+### What it is
+A block that retrieves quote tweets (tweets that quote a specific tweet) from Twitter.
+
+### What it does
+This block gets a list of tweets that quote the specified tweet ID, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch quote tweets for a given tweet ID, handling authentication and returning tweet data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to get quotes for |
+| max_results | Maximum number of results to return (max 100) |
+| exclude | Types of tweets to exclude |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of quote tweet IDs |
+| texts | List of quote tweet text contents |
+| next_token | Token for retrieving next page [more info](twitter.md#common-output). |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring engagement and responses to specific tweets through quote tweets.
+
+---
+
+## Twitter Retweet Block
+
+### What it is
+A block that retweets an existing tweet on Twitter.
+
+### What it does
+This block creates a retweet of the specified tweet using its tweet ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to retweet the tweet with the given ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to retweet |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether retweet was successful |
+| error | Error message if retweet failed |
+
+### Possible use case
+Automated retweeting of content matching specific criteria.
+
+---
+
+## Twitter Remove Retweet Block
+
+### What it is
+A block that removes a retweet on Twitter.
+
+### What it does
+This block removes an existing retweet of the specified tweet.
+
+### How it works
+It uses the Twitter API (Tweepy) to remove the retweet with the given tweet ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to remove retweet from |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether retweet removal was successful |
+| error | Error message if removal failed |
+
+### Possible use case
+Automated cleanup of retweets based on certain conditions.
+
+---
+
+## Twitter Get Retweeters Block
+
+### What it is
+A block that retrieves information about users who have retweeted a specific tweet.
+
+### What it does
+This block gets a list of users who have retweeted the specified tweet ID, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch retweeter information for a given tweet ID, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to get retweeters for |
+| max_results | Maximum number of results per page (1-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of user IDs who retweeted |
+| names | List of user names who retweeted |
+| usernames | List of usernames who retweeted |
+| next_token | Token for retrieving next page |
+| data | Complete user data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring engagement and analyzing user behavior through retweet patterns.
+
+---
+
+## Twitter Get User Mentions Block
+
+### What it is
+A block that retrieves tweets mentioning a specific Twitter user.
+
+### What it does
+This block gets tweets where a user is mentioned, using their user ID.
+
+### How it works
+It queries the Twitter API (Tweepy) with the provided user ID to fetch tweets mentioning that user, handling pagination and filters.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| user_id | ID of user to get mentions for |
+| max_results | Number of results per page (5-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of Tweet IDs |
+| texts | List of tweet text contents |
+| userIds | List of user IDs who mentioned target user |
+| userNames | List of usernames who mentioned target user |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring mentions of specific accounts for community management.
+
+---
+
+## Twitter Get Home Timeline Block
+
+### What it is
+A block that retrieves tweets from a user's home timeline.
+
+### What it does
+This block returns a collection of recent tweets and retweets posted by the authenticated user and accounts they follow.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch tweets from the home timeline, handling pagination and applying filters.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| max_results | Number of results per page (5-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of Tweet IDs |
+| texts | List of tweet text contents |
+| userIds | List of user IDs who authored tweets |
+| userNames | List of usernames who authored tweets |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring and analyzing content from followed accounts.
+
+---
+
+## Twitter Get User Tweets Block
+
+### What it is
+A block that retrieves tweets posted by a specific Twitter user.
+
+### What it does
+This block returns tweets authored by a single user, identified by their user ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch tweets from a specified user's timeline, handling pagination and filters.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| user_id | ID of user to get tweets from |
+| max_results | Number of results per page (5-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of Tweet IDs |
+| texts | List of tweet text contents |
+| userIds | List of user IDs who authored tweets |
+| userNames | List of usernames who authored tweets |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing content and activity patterns of specific Twitter accounts.
+
+---
+
+## Twitter Get Tweet Block
+
+### What it is
+A block that retrieves detailed information about a specific tweet by its ID.
+
+### What it does
+This block fetches information about a single tweet specified by the tweet ID, including tweet content, author details, and optional expanded data.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch a single tweet by its ID, handling authentication and returning tweet data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to fetch |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| id | Tweet ID |
+| text | Tweet text content |
+| userId | ID of tweet author |
+| userName | Username of tweet author |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Tweet metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Retrieving detailed information about specific tweets for analysis or monitoring.
+
+---
+
+## Twitter Get Tweets Block
+
+### What it is
+A block that retrieves information about multiple tweets by their IDs.
+
+### What it does
+This block fetches information about multiple tweets (up to 100) specified by their tweet IDs.
+
+### How it works
+It uses the Twitter API (Tweepy) to batch fetch tweets by their IDs, handling authentication and returning tweet data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_ids | List of tweet IDs to fetch (max 100) |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of tweet IDs |
+| texts | List of tweet text contents |
+| userIds | List of tweet author IDs |
+| userNames | List of tweet author usernames |
+| data | Complete tweet data array |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Tweet metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Batch retrieval of tweet information for analysis or archival purposes.
+
+---
+
+## Twitter Like Tweet Block
+
+### What it is
+A block that likes a tweet on Twitter.
+
+### What it does
+This block creates a like on a specified tweet using its tweet ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to like the tweet with the given ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to like |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether like was successful |
+| error | Error message if like failed |
+
+### Possible use case
+Automated liking of tweets matching specific criteria.
+
+---
+
+## Twitter Get Liking Users Block
+
+### What it is
+A block that retrieves information about users who liked a specific tweet.
+
+### What it does
+This block gets a list of users who have liked the specified tweet ID, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch information about users who liked a given tweet ID, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of tweet to get liking users for |
+| max_results | Maximum number of results to return (1-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| id | List of user IDs who liked |
+| username | List of usernames who liked |
+| next_token | Token for retrieving next page |
+| data | Complete user data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing engagement patterns through tracking tweet likes.
+
+---
+
+## Twitter Get Liked Tweets Block
+
+### What it is
+A block that retrieves tweets liked by a specific Twitter user.
+
+### What it does
+This block gets a list of tweets that have been liked by the specified user ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch tweets liked by a given user ID, handling pagination and filters.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| user_id | ID of user to get liked tweets for |
+| max_results | Maximum number of results per page (5-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of liked tweet IDs |
+| texts | List of liked tweet text contents |
+| userIds | List of tweet author IDs |
+| userNames | List of tweet author usernames |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing user interests and preferences through liked tweet patterns.
+
+---
+
+## Twitter Unlike Tweet Block
+
+### What it is
+A block that unlikes a previously liked tweet on Twitter.
+
+### What it does
+This block removes a like from the specified tweet using its tweet ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to unlike the tweet with the given ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to unlike |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unlike was successful |
+| error | Error message if unlike failed |
+
+### Possible use case
+Automated cleanup of likes based on certain conditions.
+
+---
+
+## Twitter Hide Reply Block
+
+### What it is
+A block that hides a reply to one of your tweets.
+
+### What it does
+This block hides a specified reply tweet from being visible in the main conversation thread.
+
+### How it works
+It uses the Twitter API (Tweepy) to hide a reply tweet with the given tweet ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet reply to hide |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether hiding was successful |
+| error | Error message if hiding failed |
+
+### Possible use case
+Moderating conversations by hiding inappropriate or unwanted replies.
+
+---
+
+## Twitter Unhide Reply Block
+
+### What it is
+A block that unhides a previously hidden reply to a tweet.
+
+### What it does
+This block makes a hidden reply tweet visible again in the conversation thread.
+
+### How it works
+It uses the Twitter API (Tweepy) to unhide a reply tweet with the given tweet ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet reply to unhide |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unhiding was successful |
+| error | Error message if unhiding failed |
+
+### Possible use case
+Restoring previously hidden replies when moderation is no longer needed.
+
+---
+
+## Twitter Bookmark Tweet Block
+
+### What it is
+A block that bookmarks a specified tweet on Twitter.
+
+### What it does
+This block creates a bookmark for a tweet using its tweet ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to bookmark the tweet with the given ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to bookmark |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether bookmark was successful |
+| error | Error message if bookmark failed |
+
+### Possible use case
+Saving tweets for later reference and organization.
+
+---
+
+## Twitter Get Bookmarked Tweets Block
+
+### What it is
+A block that retrieves a user's bookmarked tweets from Twitter.
+
+### What it does
+This block gets a list of tweets that have been bookmarked by the authenticated user.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch bookmarked tweets, handling pagination and optional data expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| max_results | Maximum number of results per page (1-100) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| id | List of bookmarked tweet IDs |
+| text | List of bookmarked tweet text contents |
+| userId | List of tweet author IDs |
+| userName | List of tweet author usernames |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Retrieving and analyzing saved tweets for content curation or research.
+
+---
+
+## Twitter Remove Bookmark Tweet Block
+
+### What it is
+A block that removes a bookmark from a tweet on Twitter.
+
+### What it does
+This block removes an existing bookmark from a specified tweet using its tweet ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to remove the bookmark with the given tweet ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| tweet_id | ID of the tweet to remove bookmark from |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether bookmark removal was successful |
+| error | Error message if removal failed |
+
+### Possible use case
+Managing bookmarks by removing outdated or no longer relevant saved tweets.
+
+---
+
+## Twitter Unblock User Block
+
+### What it is
+A block that unblocks a user that has been previously blocked on Twitter.
+
+### What it does
+This block removes a block from a specified user using their user ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to unblock a user with the given user ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of the user to unblock |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unblock was successful |
+| error | Error message if unblock failed |
+
+### Possible use case
+Reverting previously blocked users when access should be restored.
+
+---
+
+## Twitter Get Blocked Users Block
+
+### What it is
+A block that retrieves a list of users that have been blocked by the authenticated user.
+
+### What it does
+This block gets information about users who have been blocked, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch a list of blocked users, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| max_results | Maximum number of results to return (1-1000) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include |
+| tweet_fields | Tweet-specific fields to include |
+| user_fields | User-related fields to include |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| user_ids | List of blocked user IDs |
+| usernames_ | List of blocked usernames |
+| included | Additional requested data |
+| meta | Pagination and result metadata |
+| next_token | Token for retrieving next page |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring and managing blocked users for account safety and moderation.
+
+---
+
+## Twitter Block User Block
+
+### What it is
+A block that blocks a user on Twitter.
+
+### What it does
+This block blocks a specified user using their user ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to block a user with the given user ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of the user to block |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether block was successful |
+| error | Error message if block failed |
+
+### Possible use case
+Automating user blocking based on specific criteria or behaviors.
+
+## Twitter Unfollow User Block
+
+### What it is
+A block that unfollows a Twitter user.
+
+### What it does
+This block unfollows a specified user using their user ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to unfollow a user with the given user ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of the user to unfollow |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unfollow was successful |
+| error | Error message if unfollow failed |
+
+### Possible use case
+Automating unfollowing users based on specific criteria.
+
+---
+
+## Twitter Follow User Block
+
+### What it is
+A block that follows a Twitter user.
+
+### What it does
+This block follows a specified user using their user ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to follow a user with the given user ID, handling authentication and error cases. If the target user has protected tweets, this will send a follow request.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of the user to follow |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether follow was successful |
+| error | Error message if follow failed |
+
+### Possible use case
+Automating following of users matching specific criteria.
+
+---
+
+## Twitter Get Followers Block
+
+### What it is
+A block that retrieves a list of followers for a specified Twitter user.
+
+### What it does
+This block gets a list of users who follow the specified user ID, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch followers for a given user ID, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of user to get followers for |
+| max_results | Maximum number of results per page (1-1000) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of follower user IDs |
+| usernames | List of follower usernames |
+| next_token | Token for retrieving next page |
+| data | Complete user data |
+| includes | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing follower patterns and demographics.
+
+---
+
+## Twitter Get Following Block
+
+### What it is
+A block that retrieves a list of users that a specified Twitter user follows.
+
+### What it does
+This block gets a list of users being followed by the specified user ID, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch following list for a given user ID, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of user to get following list for |
+| max_results | Maximum number of results per page (1-1000) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of following user IDs |
+| usernames | List of following usernames |
+| next_token | Token for retrieving next page |
+| data | Complete user data |
+| includes | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing following patterns and network connections.
+
+---
+
+## Twitter Unmute User Block
+
+### What it is
+A block that unmutes a previously muted user on Twitter.
+
+### What it does
+This block unmutes a specified user using their user ID. The request succeeds with no action if the target user is not currently muted.
+
+### How it works
+It uses the Twitter API (Tweepy) to unmute a user with the given user ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of the user to unmute |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unmute was successful |
+| error | Error message if unmute failed |
+
+### Possible use case
+Reverting muted users when communication should be restored.
+
+---
+
+## Twitter Get Muted Users Block
+
+### What it is
+A block that retrieves a list of users muted by the authenticated user.
+
+### What it does
+This block gets a list of muted users with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch muted users, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| max_results | Maximum results per page (1-1000, default 10) |
+| pagination_token | Token for getting next/previous page |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of muted user IDs |
+| usernames | List of muted usernames |
+| next_token | Token for retrieving next page |
+| data | Complete user data for muted users |
+| includes | Additional requested data |
+| meta | Metadata including pagination info |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring and managing muted users list for content filtering.
+
+---
+
+## Twitter Mute User Block
+
+### What it is
+A block that mutes a specified user on Twitter.
+
+### What it does
+This block mutes a user using their user ID to stop seeing their tweets.
+
+### How it works
+It uses the Twitter API (Tweepy) to mute a user with the given user ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| target_user_id | ID of the user to mute |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether mute was successful |
+| error | Error message if mute failed |
+
+### Possible use case
+Automating user muting based on specific criteria or behaviors.
+
+---
+
+## Twitter Get User Block
+
+### What it is
+A block that retrieves information about a single Twitter user by either their user ID or username.
+
+### What it does
+This block fetches detailed user information, including basic profile data and optional expanded information, for a specified Twitter user.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch user data for a single user identified by either ID or username, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| identifier | User identifier (either user ID or username) |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| id | User ID |
+| username_ | Twitter username |
+| name_ | Display name |
+| data | Complete user data |
+| included | Additional requested data |
+| error | Error message if request failed |
+
+### Possible use case
+Retrieving detailed user profile information for analysis or verification.
+
+---
+
+## Twitter Get Users Block
+
+### What it is
+A block that retrieves information about multiple Twitter users by their IDs or usernames.
+
+### What it does
+This block fetches detailed user information for up to 100 users at once, including basic profile data and optional expanded information.
+
+### How it works
+It uses the Twitter API (Tweepy) to batch fetch user data for multiple users identified by either IDs or usernames, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| identifier | List of user identifiers (either user IDs or usernames, max 100) |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of user IDs |
+| usernames_ | List of Twitter usernames |
+| names_ | List of display names |
+| data | Complete user data array |
+| included | Additional requested data |
+| error | Error message if request failed |
+
+### Possible use case
+Batch retrieval of user profile information for analysis or monitoring.
+
+---
+
+## Twitter Search Spaces Block
+
+### What it is
+A block that searches for live or scheduled Twitter Spaces by specified search terms.
+
+### What it does
+This block searches for Twitter Spaces based on title keywords, with options to filter by state (live/scheduled) and pagination.
+
+### How it works
+It uses the Twitter API (Tweepy) to search for Spaces matching the query parameters, handling authentication and returning Space data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| query | Search term to find in Space titles |
+| max_results | Maximum number of results to return (1-100, default 10) |
+| state | Type of Spaces to return (live, scheduled, or all) |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| space_fields | Space-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of space IDs |
+| titles | List of space titles |
+| host_ids | List of host IDs |
+| next_token | Token for retrieving next page |
+| data | Complete space data |
+| includes | Additional requested data |
+| meta | Metadata including pagination info |
+| error | Error message if request failed |
+
+### Possible use case
+Finding relevant Twitter Spaces for content discovery and engagement.
+
+---
+
+## Twitter Get Spaces Block
+
+### What it is
+A block that retrieves information about multiple Twitter Spaces specified by Space IDs or creator user IDs.
+
+### What it does
+This block fetches detailed information for up to 100 Spaces using either their Space IDs or creator user IDs.
+
+### How it works
+It uses the Twitter API (Tweepy) to batch fetch Space data for multiple Spaces, handling authentication and returning Space data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| identifier | Choice of lookup by Space IDs or creator user IDs |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| space_fields | Space-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of Space IDs |
+| titles | List of Space titles |
+| data | Complete Space data array |
+| includes | Additional requested data |
+| error | Error message if request failed |
+
+### Possible use case
+Batch retrieval of Space information for analytics or monitoring.
+
+---
+
+## Twitter Get Space By ID Block
+
+### What it is
+A block that retrieves information about a single Twitter Space specified by Space ID.
+
+### What it does
+This block fetches detailed information about a single Space, including host information and other metadata.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch Space data for a single Space ID, handling authentication and returning Space data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| space_id | ID of Space to retrieve |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| space_fields | Space-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| id | Space ID |
+| title | Space title |
+| host_ids | List of host IDs |
+| data | Complete Space data |
+| includes | Additional requested data |
+| error | Error message if request failed |
+
+### Possible use case
+Retrieving detailed information about a specific Space for analysis or display.
+
+---
+
+## Twitter Get Space Buyers Block
+
+### What it is
+A block that retrieves a list of users who purchased tickets to a Twitter Space.
+
+### What it does
+This block gets information about users who bought tickets to attend a specific Space.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch buyer information for a Space, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| space_id | ID of Space to get buyers for |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| buyer_ids | List of buyer user IDs |
+| usernames | List of buyer usernames |
+| data | Complete buyer user data |
+| includes | Additional requested data |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing ticket sales and attendee information for monetized Spaces.
+
+---
+
+## Twitter Get Space Tweets Block
+
+### What it is
+A block that retrieves tweets shared in a specific Twitter Space.
+
+### What it does
+This block gets tweets that were shared during a Space session.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch tweets from a Space, handling authentication and returning tweet data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| space_id | ID of Space to get tweets for |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| tweet_ids | List of tweet IDs |
+| texts | List of tweet texts |
+| data | Complete tweet data |
+| includes | Additional requested data |
+| meta | Response metadata |
+| error | Error message if request failed |
+
+### Possible use case
+Capturing and analyzing content shared during Space sessions.
+
+---
+
+## Twitter Get List Block
+
+### What it is
+A block that retrieves detailed information about a specific Twitter List.
+
+### What it does
+This block fetches information about a Twitter List specified by its ID, including basic list data and optional expanded information.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch list data for a single list ID, handling authentication and returning list data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the Twitter List to retrieve |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| list_fields | List-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| id | List ID |
+| name | List name |
+| owner_id | ID of List owner |
+| owner_username | Username of List owner |
+| data | Complete list data |
+| included | Additional requested data |
+| meta | Response metadata |
+| error | Error message if request failed |
+
+### Possible use case
+Retrieving detailed information about specific Twitter Lists for analysis or display.
+
+---
+
+## Twitter Get Owned Lists Block
+
+### What it is
+A block that retrieves all Twitter Lists owned by a specified user.
+
+### What it does
+This block fetches a list of Twitter Lists owned by a user ID, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch owned lists for a given user ID, handling authentication and returning list data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| user_id | ID of user whose Lists to retrieve |
+| max_results | Maximum results per page (1-100, default 10) |
+| pagination_token | Token for getting next page |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| list_fields | List-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| list_ids | List of owned List IDs |
+| list_names | List of owned List names |
+| next_token | Token for retrieving next page |
+| data | Complete List data array |
+| included | Additional requested data |
+| meta | Metadata including pagination info |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing owned Lists for content curation and audience management.
+
+---
+
+## Twitter Remove List Member Block
+
+### What it is
+A block that removes a member from a specified Twitter List owned by the authenticated user.
+
+### What it does
+This block removes a specified user from a Twitter List they are currently a member of.
+
+### How it works
+It uses the Twitter API (Tweepy) to remove a user from a specified List, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to remove member from |
+| user_id | ID of the user to remove from List |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether removal was successful |
+| error | Error message if removal failed |
+
+### Possible use case
+Managing List membership by removing users who no longer meet List criteria.
+
+---
+
+## Twitter Add List Member Block
+
+### What it is
+A block that adds a member to a specified Twitter List owned by the authenticated user.
+
+### What it does
+This block adds a specified user as a new member to a Twitter List.
+
+### How it works
+It uses the Twitter API (Tweepy) to add a user to a specified List, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to add member to |
+| user_id | ID of the user to add to List |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether addition was successful |
+| error | Error message if addition failed |
+
+### Possible use case
+Growing List membership by adding users who match List criteria.
+
+---
+
+## Twitter Get List Members Block
+
+### What it is
+A block that retrieves all members of a specified Twitter List.
+
+### What it does
+This block gets information about users who are members of a given List, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch member data for a specified List, handling authentication and returning user data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to get members from |
+| max_results | Maximum results per page (1-100, default 10) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include |
+| tweet_fields | Tweet-related fields to include |
+| user_fields | User-related fields to include |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| ids | List of member user IDs |
+| usernames | List of member usernames |
+| next_token | Token for retrieving next page |
+| data | Complete user data for members |
+| included | Additional requested data |
+| meta | Pagination and result metadata |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing List membership and member profiles.
+
+---
+
+## Twitter Get List Memberships Block
+
+### What it is
+A block that retrieves all Lists that a specified user is a member of.
+
+### What it does
+This block gets information about Lists where the specified user is a member, with options for pagination and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch List membership data for a given user ID, handling authentication and returning List data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| user_id | ID of user to get List memberships for |
+| max_results | Maximum results per page (1-100, default 10) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include |
+| list_fields | List-specific fields to include |
+| user_fields | User-related fields to include |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| list_ids | List of List IDs |
+| next_token | Token for retrieving next page |
+| data | Complete List membership data |
+| included | Additional requested data |
+| meta | Metadata about pagination |
+| error | Error message if request failed |
+
+### Possible use case
+Analyzing a user's List memberships to understand their interests and connections.
+
+---
+
+## Twitter Get List Tweets Block
+
+### What it is
+A block that retrieves tweets from a specified Twitter List.
+
+### What it does
+This block fetches tweets that have been posted within a given List, with options for pagination, filtering, and expanded data.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch tweets from a specified List, handling authentication and returning tweet data with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to get tweets from |
+| max_results | Maximum number of results per page (1-100, default 10) |
+| pagination_token | Token for getting next page of results |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| media_fields | Media-related fields to include [more info](twitter.md#common-input). |
+| place_fields | Location-related fields to include [more info](twitter.md#common-input). |
+| poll_fields | Poll-related fields to include [more info](twitter.md#common-input). |
+| tweet_fields | Tweet-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| tweet_ids | List of tweet IDs from the List |
+| texts | List of tweet text contents |
+| next_token | Token for retrieving next page |
+| data | Complete tweet data array |
+| included | Additional requested data [more info](twitter.md#common-output). |
+| meta | Pagination and result metadata [more info](twitter.md#common-output). |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring and analyzing tweets shared within curated Twitter Lists.
+
+---
+
+## Twitter Delete List Block
+
+### What it is
+A block that deletes a Twitter List owned by the authenticated user.
+
+### What it does
+This block deletes a specified Twitter List using the List ID.
+
+### How it works
+It uses the Twitter API (Tweepy) to delete a specified List, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to delete |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether deletion was successful |
+| error | Error message if deletion failed |
+
+### Possible use case
+Removing outdated or unnecessary Twitter Lists.
+
+---
+
+## Twitter Update List Block
+
+### What it is
+A block that updates a Twitter List owned by the authenticated user.
+
+### What it does
+This block modifies an existing List's name and/or description.
+
+### How it works
+It uses the Twitter API (Tweepy) to update List metadata, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of List to update |
+| name | New name for the List (optional) |
+| description | New description for the List (optional) |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether update was successful |
+| error | Error message if update failed |
+
+### Possible use case
+Maintaining List metadata to reflect current purpose or organization.
+
+---
+
+## Twitter Create List Block
+
+### What it is
+A block that creates a new Twitter List for the authenticated user.
+
+### What it does
+This block creates a new Twitter List with specified name, description and privacy settings.
+
+### How it works
+It uses the Twitter API (Tweepy) to create a new List, handling authentication and returning List details.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| name | Name for the new List |
+| description | Description of the List (optional) |
+| private | Whether List should be private |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| url | URL of the created List |
+| list_id | ID of the created List |
+| error | Error message if creation failed |
+
+### Possible use case
+Creating Lists to organize Twitter users around specific topics or interests.
+
+---
+
+## Twitter Unpin List Block
+
+### What it is
+A block that allows users to unpin a specified Twitter List.
+
+### What it does
+This block removes a Twitter List from the user's pinned Lists.
+
+### How it works
+It uses the Twitter API (Tweepy) to unpin a List using its List ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to unpin |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unpin was successful |
+| error | Error message if unpin failed |
+
+### Possible use case
+Managing pinned Lists by removing Lists that are no longer priority.
+
+---
+
+## Twitter Pin List Block
+
+### What it is
+A block that allows users to pin a specified Twitter List.
+
+### What it does
+This block pins a Twitter List to appear at the top of the user's Lists.
+
+### How it works
+It uses the Twitter API (Tweepy) to pin a List using its List ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to pin |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether pin was successful |
+| error | Error message if pin failed |
+
+### Possible use case
+Prioritizing important Lists for quick access.
+
+---
+
+## Twitter Get Pinned Lists Block
+
+### What it is
+A block that retrieves all Twitter Lists that are pinned by the authenticated user.
+
+### What it does
+This block fetches a collection of Lists that have been pinned by the user, with options for additional data and filtering.
+
+### How it works
+It uses the Twitter API (Tweepy) to fetch pinned Lists data, handling authentication and returning List information with optional expansions.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| expansions | Additional data fields to include [more info](twitter.md#common-input). |
+| list_fields | List-specific fields to include [more info](twitter.md#common-input). |
+| user_fields | User-related fields to include [more info](twitter.md#common-input). |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| list_ids | List of pinned List IDs |
+| list_names | List of pinned List names |
+| data | Complete List data |
+| included | Additional requested data |
+| meta | Response metadata |
+| error | Error message if request failed |
+
+### Possible use case
+Monitoring and managing pinned Lists for organization and quick access.
+
+---
+
+## Twitter Unfollow List Block
+
+### What it is
+A block that unfollows a Twitter List that the authenticated user is currently following.
+
+### What it does
+This block unfollows a specified Twitter List using the List ID, removing it from the user's followed Lists.
+
+### How it works
+It uses the Twitter API (Tweepy) to unfollow a List with the given List ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to unfollow |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether unfollow was successful |
+| error | Error message if unfollow failed |
+
+### Possible use case
+Managing followed Lists by removing Lists that are no longer relevant.
+
+---
+
+## Twitter Follow List Block
+
+### What it is
+A block that follows a Twitter List for the authenticated user.
+
+### What it does
+This block follows a specified Twitter List using the List ID, adding it to the user's followed Lists.
+
+### How it works
+It uses the Twitter API (Tweepy) to follow a List with the given List ID, handling authentication and error cases.
+
+### Inputs
+| Input | Description |
+|-------|-------------|
+| credentials | Twitter API credentials with required scopes |
+| list_id | ID of the List to follow |
+
+### Outputs
+| Output | Description |
+|--------|-------------|
+| success | Whether follow was successful |
+| error | Error message if follow failed |
+
+### Possible use case
+Following Lists that match user interests or contain relevant content.
+
+---
+## Common Input
+
+The Twitter API lets you choose what information you want to get back when you make a request. Here are the different types of information you can ask for:
+
+### expansions
+Extra information about tweets, pictures, and users that are mentioned or connected
+
+| Field | Description |
+|-------|-------------|
+| Poll_IDs | Gets information about any polls in the tweet, like voting options and results |
+| Media_Keys | Gets details about pictures, videos, or GIFs attached to the tweet |
+| Author_User_ID | Gets information about who wrote the tweet, like their profile details |
+| Edit_History_Tweet_IDs | Shows if and when the tweet was edited and what changed |
+| Mentioned_Usernames | Gets profile information about any @mentioned users |
+| Place_ID | Gets details about locations tagged in the tweet |
+| Reply_To_User_ID | Gets information about the person this tweet is replying to |
+| Referenced_Tweet_ID | Gets details about any tweets this one is quoting or retweeting |
+| Referenced_Tweet_Author_ID | Gets profile information about who wrote the original tweets being referenced |
+
+### media_fields
+Information about pictures, videos, and other media
+
+| Field | Description |
+|-------|-------------|
+| Duration_in_Milliseconds | How long a video or audio clip plays for (in milliseconds) |
+| Height | How tall the picture or video is in pixels |
+| Media_Key | A unique code that identifies this specific piece of media |
+| Preview_Image_URL | Web link to a smaller preview version of the picture |
+| Media_Type | What kind of media it is (photo, video, GIF, etc.) |
+| Media_URL | Web link to view the full media |
+| Width | How wide the picture or video is in pixels |
+| Public_Metrics | Numbers anyone can see (views, plays, etc.) |
+| Non_Public_Metrics | Private numbers only the tweet author can see |
+| Organic_Metrics | Numbers about natural engagement (non-promoted) |
+| Promoted_Metrics | Numbers about paid promotion performance |
+| Alternative_Text | Description of the media for accessibility |
+| Media_Variants | Different sizes/qualities available (like HD vs SD video) |
+
+### place_fields
+Information about locations mentioned in tweets
+
+| Field | Description |
+|-------|-------------|
+| Contained_Within_Places | Larger areas this place is part of (like a city within a state) |
+| Country | The full country name |
+| Country_Code | Short two-letter code for the country (like US for United States) |
+| Full_Location_Name | Complete name including city, state, country etc. |
+| Geographic_Coordinates | Exact location on a map (latitude and longitude) |
+| Place_ID | A unique code that identifies this specific location |
+| Place_Name | The main name of the place (like "Times Square") |
+| Place_Type | What kind of place it is (city, business, landmark etc.) |
+
+### poll_fields
+Information about polls in tweets
+
+| Field | Description |
+|-------|-------------|
+| Duration_Minutes | How long the poll stays open for voting |
+| End_DateTime | The exact date and time when voting closes |
+| Poll_ID | A unique code that identifies this specific poll |
+| Poll_Options | The different choices people can vote for |
+| Voting_Status | Whether voting is still open or closed |
+
+### tweet_fields
+Information about the tweets themselves
+
+| Field | Description |
+|-------|-------------|
+| Tweet_Attachments | All media, links, or polls included in the tweet |
+| Author_ID | A unique code identifying who wrote the tweet |
+| Context_Annotations | Extra information about what the tweet is about |
+| Conversation_ID | Code linking all replies in a conversation |
+| Creation_Time | When the tweet was posted |
+| Edit_Controls | Whether the tweet can be edited and for how long |
+| Tweet_Entities | Special parts of the tweet like #hashtags, @mentions, and links |
+| Geographic_Location | Where the tweet was posted from |
+| Tweet_ID | A unique code for this specific tweet |
+| Reply_To_User_ID | Who this tweet is responding to |
+| Language | What language the tweet is written in |
+| Public_Metrics | Numbers like retweets, likes, and replies |
+| Sensitive_Content_Flag | Warning if tweet might contain sensitive content |
+| Referenced_Tweets | Other tweets this one is connected to |
+| Reply_Settings | Who is allowed to reply to the tweet |
+| Tweet_Source | What app or website was used to post |
+| Tweet_Text | The actual words in the tweet |
+| Withheld_Content | If the tweet is hidden in certain countries |
+
+### user_fields
+Information about Twitter users
+
+| Field | Description |
+|-------|-------------|
+| Account_Creation_Date | When they joined Twitter |
+| User_Bio | The "About me" text on their profile |
+| User_Entities | Links and @mentions in their profile |
+| User_ID | Their unique Twitter user code |
+| User_Location | Where they say they are located |
+| Latest_Tweet_ID | Code for their most recent tweet |
+| Display_Name | Their full profile name (not @username) |
+| Pinned_Tweet_ID | Code for the tweet stuck to top of their profile |
+| Profile_Picture_URL | Link to their profile picture |
+| Is_Protected_Account | Whether their tweets are private |
+| Account_Statistics | Number of followers, following, and tweets |
+| Profile_URL | Link to their profile webpage |
+| Username | Their @handle they use on Twitter |
+| Is_Verified | Whether they have a verification checkmark |
+| Verification_Type | What kind of verification they have |
+| Content_Withholding_Info | If their content is hidden in certain places |
+
+## Extra notes
+
+- Use combinations of expansions and fields to build precise queries. For instance:
+  - To fetch a Tweet with media details, include `expansions=Media_Keys` and relevant `media_fields`.
+  - For user data in Tweets, add `expansions=Author_User_ID` and appropriate `user_fields`.
+
+- Data returned under `includes` helps cross-reference expanded data objects with their parent entities using IDs.
+
+## Common Output
+
+The Twitter API returns standardized response elements across many endpoints. Here are the common output fields you'll encounter:
+
+### data
+The primary data requested in the response
+
+| Field | Description |
+|-------|-------------|
+| ID | Unique identifier for the object |
+| Type | Type of object (tweet, user, etc) |
+| Properties | Object-specific fields like text for tweets |
+
+### includes
+Additional expanded data objects referenced in the primary data
+
+| Field | Description |
+|-------|-------------|
+| Tweets | Full tweet objects that were referenced |
+| Users | User profile data for authors/mentions |
+| Places | Location data for geo-tagged content |
+| Media | Details about attached photos/videos |
+| Polls | Information about embedded polls |
+
+### meta
+Metadata about the response and pagination
+
+| Field | Description |
+|-------|-------------|
+| Result_Count | Number of items returned |
+| Next_Token | Token to get next page of results |
+| Previous_Token | Token to get previous page |
+| Newest_ID | Most recent ID in results |
+| Oldest_ID | Oldest ID in results |
+| Total_Tweet_Count | Total matching tweets (search) |
+
+### errors
+Details about any errors that occurred
+
+| Field | Description |
+|-------|-------------|
+| Title | Brief error description |
+| Detail | Detailed error message |
+| Type | Error category/classification |
+| Status | HTTP status code |
+
+### Non-paginated responses
+For single-object lookups:
+- data: Contains requested object
+- includes: Referenced objects
+- errors: Any errors encountered
+
+### Paginated responses
+For multi-object lookups:
+- data: Array of objects
+- includes: Referenced objects
+- meta: Pagination details
+- errors: Any errors encountered
diff --git a/docs/content/platform/contributing/oauth-integration-flow.md b/docs/content/platform/contributing/oauth-integration-flow.md
new file mode 100644
index 000000000000..dbc7a54be552
--- /dev/null
+++ b/docs/content/platform/contributing/oauth-integration-flow.md
@@ -0,0 +1,469 @@
+# OAuth Integration Flow Documentation
+
+## Overview
+
+The AutoGPT platform implements OAuth 2.0 in two distinct contexts:
+
+1. **User Authentication (SSO)**: Handled by Supabase for platform login
+2. **API Integration Credentials**: Custom OAuth implementation for third-party service access
+
+This document focuses on the **API Integration OAuth flow** used for connecting to external services. For the list of supported providers, see `/backend/backend/integrations/providers.py`. For user authentication documentation, see the Supabase auth implementation.
+
+## Trust Boundaries
+
+### 1. Frontend Trust Boundary
+- **Location**: Browser/Client-side application
+- **Components**: 
+  - `CredentialsInput` component (`/frontend/src/components/integrations/credentials-input.tsx`)
+  - OAuth callback route (`/frontend/src/app/(platform)/auth/integrations/oauth_callback/route.ts`)
+- **Trust Level**: Untrusted - user-controlled environment
+- **Security Measures**:
+  - CSRF protection via state tokens
+  - Popup-based flow to prevent URL exposure
+  - Message validation for cross-window communication
+
+### 2. Backend API Trust Boundary
+- **Location**: Server-side FastAPI application
+- **Components**:
+  - Integration router (`/backend/backend/server/integrations/router.py`)
+  - OAuth handlers (`/backend/backend/integrations/oauth/`)
+  - Credentials store (`/backend/backend/integrations/credentials_store.py`)
+- **Trust Level**: Trusted - server-controlled environment
+- **Security Measures**:
+  - JWT-based authentication
+  - Encrypted credential storage
+  - Token refresh handling
+  - Scope validation
+
+### 3. External Provider Trust Boundary
+- **Location**: Third-party OAuth providers
+- **Components**: Provider authorization endpoints
+- **Trust Level**: Semi-trusted - external services
+- **Security Measures**:
+  - HTTPS-only communication
+  - Provider-specific security features
+  - Token revocation support
+
+## Component Architecture
+
+### Frontend Components
+
+#### 1. CredentialsInput Component
+- **Purpose**: UI component for credential selection and OAuth initiation
+- **Key Functions**:
+  - Displays available credentials
+  - Initiates OAuth flow via popup window
+  - Handles OAuth callback messages
+  - Manages credential selection state
+
+#### 2. OAuth Callback Route
+- **Path**: `/auth/integrations/oauth_callback`
+- **Purpose**: Receives OAuth authorization codes from providers
+- **Flow**:
+  1. Receives `code` and `state` parameters from provider
+  2. Posts message to parent window with results
+  3. Auto-closes popup window
+
+### Backend Components
+
+#### 1. Integration Router
+- **Base Path**: `/api/integrations`
+- **Key Endpoints**:
+  - `GET /{provider}/login` - Initiates OAuth flow
+  - `POST /{provider}/callback` - Exchanges auth code for tokens
+  - `GET /credentials` - Lists user credentials
+  - `DELETE /{provider}/credentials/{id}` - Revokes credentials
+
+#### 2. OAuth Base Handler
+- **Purpose**: Abstract base class for provider-specific OAuth implementations
+- **Key Methods**:
+  - `get_login_url()` - Constructs provider authorization URL
+  - `exchange_code_for_tokens()` - Exchanges auth code for access tokens
+  - `refresh_tokens()` - Refreshes expired access tokens
+  - `revoke_tokens()` - Revokes tokens at provider
+
+#### 3. Credentials Store
+- **Purpose**: Manages credential persistence and state
+- **Key Features**:
+  - Redis-backed mutex for concurrent access control
+  - OAuth state token generation and validation
+  - PKCE support with code challenge generation
+  - Default system credentials injection
+
+## OAuth Flow Sequence
+
+### 1. Flow Initiation
+```mermaid
+sequenceDiagram
+    participant User
+    participant Frontend
+    participant Backend
+    participant Redis
+    participant Provider
+
+    User->>Frontend: Click "Sign in with Provider"
+    Frontend->>Backend: GET /api/integrations/{provider}/login
+    Backend->>Redis: Store state token + code verifier
+    Backend->>Frontend: Return login URL + state token
+    Frontend->>Frontend: Open popup window
+    Frontend->>Provider: Redirect to authorization URL
+```
+
+### 2. Authorization
+```mermaid
+sequenceDiagram
+    participant User
+    participant Provider
+    participant Callback
+    participant Frontend
+    participant Backend
+
+    User->>Provider: Authorize application
+    Provider->>Callback: Redirect with code + state
+    Callback->>Frontend: PostMessage with code + state
+    Frontend->>Backend: POST /api/integrations/{provider}/callback
+    Backend->>Provider: Exchange code for tokens
+    Provider->>Backend: Return access + refresh tokens
+    Backend->>Backend: Store credentials
+    Backend->>Frontend: Return credential metadata
+```
+
+### 3. Token Refresh
+```mermaid
+sequenceDiagram
+    participant Application
+    participant Backend
+    participant Provider
+
+    Application->>Backend: Request with credential ID
+    Backend->>Backend: Check token expiry
+    Backend->>Provider: POST refresh token
+    Provider->>Backend: Return new tokens
+    Backend->>Backend: Update stored credentials
+    Backend->>Application: Return valid access token
+```
+
+## System Architecture Diagram
+
+```mermaid
+graph TB
+    subgraph "OAuth Use Cases"
+        subgraph "User SSO Login"
+            LP[Login Page]
+            SB[Supabase Auth]
+            GO[Google OAuth SSO]
+            SC[Session Cookies]
+        end
+        
+        subgraph "API Integration OAuth"
+            UI[CredentialsInput Component]
+            CB[OAuth Callback Route]
+            PW[Popup Window]
+        end
+    end
+    
+    subgraph "Backend API (Trusted)"
+        subgraph "Auth Management"
+            SA[Supabase Client]
+            UM[User Management]
+        end
+        
+        subgraph "Integration Management"
+            IR[Integration Router]
+            OH[OAuth Handlers]
+            CS[Credentials Store]
+            CM[Credentials Manager]
+        end
+    end
+    
+    subgraph "Storage"
+        RD[(Redis)]
+        PG[(PostgreSQL)]
+        SDB[(Supabase DB)]
+    end
+    
+    subgraph "External Providers"
+        GH[GitHub OAuth]
+        GL[Google APIs OAuth]
+        NT[Notion OAuth]
+        OT[...Other Providers]
+    end
+    
+    %% User Login Flow
+    LP -->|Login with Google| SB
+    SB -->|OAuth Request| GO
+    GO -->|User Auth| SB
+    SB -->|Session| SC
+    SB -->|User Data| SDB
+    
+    %% API Integration Flow
+    UI -->|1. Initiate OAuth| IR
+    IR -->|2. Generate State| RD
+    IR -->|3. Return Auth URL| UI
+    UI -->|4. Open Popup| PW
+    PW -->|5. Redirect| GH
+    GH -->|6. Auth Code| CB
+    CB -->|7. PostMessage| UI
+    UI -->|8. Send Code| IR
+    IR -->|9. Exchange Code| OH
+    OH -->|10. Get Tokens| GH
+    OH -->|11. Store Creds| CS
+    CS -->|12. Save| PG
+    
+    OH -.->|Token Refresh| GL
+    OH -.->|Token Refresh| NT
+    OH -.->|Token Refresh| OT
+```
+
+## Data Flow Diagram
+
+```mermaid
+graph LR
+    subgraph "Data Types"
+        ST[State Token]
+        CV[Code Verifier]
+        CC[Code Challenge]
+        AC[Auth Code]
+        AT[Access Token]
+        RT[Refresh Token]
+    end
+    
+    subgraph "Frontend Flow"
+        U1[User Initiates]
+        U2[Receives State]
+        U3[Opens Popup]
+        U4[Receives Code]
+        U5[Sends to Backend]
+    end
+    
+    subgraph "Backend Flow"
+        B1[Generate State]
+        B2[Store in Redis]
+        B3[Validate State]
+        B4[Exchange Code]
+        B5[Store Credentials]
+    end
+    
+    U1 --> B1
+    B1 --> ST
+    B1 --> CV
+    CV --> CC
+    B2 --> U2
+    U3 --> AC
+    AC --> U4
+    U5 --> B3
+    B3 --> B4
+    B4 --> AT
+    B4 --> RT
+    AT --> B5
+    RT --> B5
+```
+
+## Security Architecture
+
+```mermaid
+graph TB
+    subgraph "Security Layers"
+        subgraph "Transport Security"
+            HTTPS[HTTPS Only]
+            CSP[Content Security Policy]
+        end
+        
+        subgraph "Authentication"
+            JWT[JWT Tokens]
+            STATE[CSRF State Tokens]
+            PKCE[PKCE Challenge]
+        end
+        
+        subgraph "Storage Security"
+            ENC[Encrypted Credentials]
+            SEC[SecretStr Type]
+            MUTEX[Redis Mutex Locks]
+        end
+        
+        subgraph "Access Control"
+            USER[User Scoped]
+            SCOPE[OAuth Scopes]
+            EXPIRE[Token Expiration]
+        end
+    end
+    
+    HTTPS --> JWT
+    JWT --> USER
+    STATE --> PKCE
+    PKCE --> ENC
+    ENC --> SEC
+    SEC --> MUTEX
+    USER --> SCOPE
+    SCOPE --> EXPIRE
+```
+
+## Credential Lifecycle
+
+```mermaid
+stateDiagram-v2
+    [*] --> Initiated: User clicks sign-in
+    Initiated --> Authorizing: Popup opened
+    Authorizing --> Authorized: User approves
+    Authorizing --> Failed: User denies
+    Authorized --> Active: Tokens stored
+    Active --> Refreshing: Token expires
+    Refreshing --> Active: Token refreshed
+    Refreshing --> Expired: Refresh fails
+    Active --> Revoked: User deletes
+    Failed --> [*]
+    Expired --> [*]
+    Revoked --> [*]
+    
+    note right of Active: Credentials can be used
+    note right of Refreshing: Automatic process
+    note right of Revoked: Tokens revoked at provider
+```
+
+## OAuth Types Comparison
+
+### User Authentication (SSO) via Supabase
+
+- **Purpose**: Authenticate users to access the AutoGPT platform
+- **Provider**: Supabase Auth (currently supports Google SSO)
+- **Flow Path**: `/login` → Supabase OAuth → `/auth/callback`
+- **Session Storage**: Supabase-managed cookies
+- **Token Management**: Automatic by Supabase
+- **User Experience**: Single sign-on to the platform
+
+### API Integration Credentials
+
+- **Purpose**: Grant AutoGPT access to user's third-party services
+- **Providers**: Examples include GitHub, Google APIs, Notion, and others
+  - Full list in `/backend/backend/integrations/providers.py`
+  - OAuth handlers in `/backend/backend/integrations/oauth/`
+- **Flow Path**: Integration settings → `/api/integrations/{provider}/login` → `/auth/integrations/oauth_callback`
+- **Credential Storage**: Encrypted in PostgreSQL
+- **Token Management**: Custom refresh logic with mutex locking
+- **User Experience**: Connect external services to use in workflows
+
+## Data Flow and Security
+
+### 1. State Token Flow
+
+- **Generation**: Random 32-byte token using `secrets.token_urlsafe()`
+- **Storage**: Redis with 10-minute expiration
+- **Validation**: Constant-time comparison using `secrets.compare_digest()`
+- **Purpose**: CSRF protection and request correlation
+
+### 2. PKCE Implementation
+
+- **Code Verifier**: Random string generated using `secrets.token_urlsafe(128)` (approximately 171 characters when base64url encoded, though RFC 7636 recommends 43-128 characters)
+- **Code Challenge**: SHA256 hash of verifier, base64url encoded
+- **Storage**: Stored with state token in database (encrypted) with 10-minute expiration
+- **Usage**: Enhanced security for public clients (currently used by Twitter provider)
+
+### 3. Credential Storage
+
+- **Structure**:
+
+  ```python
+  OAuth2Credentials:
+    - id: UUID
+    - provider: ProviderName
+    - access_token: SecretStr (encrypted)
+    - refresh_token: Optional[SecretStr]
+    - scopes: List[str]
+    - expires_at: Optional[int]
+    - username: Optional[str]
+  ```
+
+- **Persistence**: PostgreSQL via Prisma ORM
+- **Access Control**: User-scoped with mutex locking
+
+### 4. Token Security
+
+- **Storage**: Tokens stored as `SecretStr` type
+- **Transport**: HTTPS-only, never logged
+- **Refresh**: Automatic refresh 5 minutes before expiry
+- **Revocation**: Supported for providers that implement it
+
+## Provider Implementations
+
+### Supported Providers
+
+The platform supports various OAuth providers including GitHub, Google, Notion, Twitter, and others. For the complete list, see:
+- `/backend/backend/integrations/providers.py` - All supported providers
+- `/backend/backend/integrations/oauth/` - OAuth implementations
+
+### Provider-Specific Security Considerations
+
+- **GitHub**: Supports optional token expiration - tokens may be non-expiring by default
+- **Linear**: Returns scopes as space-separated string, requiring special parsing
+- **Google**: Requires explicit offline access scope for refresh tokens
+- **Twitter**: Uses PKCE for enhanced security on public clients
+
+Each provider handler implements the security measures defined in `BaseOAuthHandler`, ensuring consistent token management and refresh logic across all integrations.
+
+## Security Best Practices
+
+### 1. Frontend Security
+
+- Use popup windows to prevent URL tampering
+- Validate state tokens before processing callbacks
+- Clear sensitive data from window messages
+- Implement timeout for OAuth flows (5 minutes)
+
+### 2. Backend Security
+
+- Store client secrets in environment variables
+- Use HTTPS for all OAuth endpoints
+- Implement proper scope validation
+- Log security events without exposing tokens
+- Use database transactions for credential updates
+
+### 3. Token Management
+
+- Refresh tokens proactively (5 minutes before expiry)
+- Revoke tokens when credentials are deleted
+- Never expose tokens in logs or error messages
+- Use constant-time comparison for token validation
+
+## Error Handling
+
+### Common Error Scenarios
+
+1. **Invalid State Token**: 400 Bad Request
+2. **Provider Configuration Missing**: 501 Not Implemented
+3. **Token Exchange Failure**: 400 Bad Request with hint
+4. **Webhook Conflicts**: 409 Conflict, requires confirmation
+5. **Credential Not Found**: 404 Not Found
+
+### Error Response Format
+
+```json
+{
+  "detail": {
+    "message": "Human-readable error description",
+    "hint": "Actionable suggestion for resolution"
+  }
+}
+```
+
+## Testing Considerations
+
+### Unit Testing
+
+- Mock OAuth providers for flow testing
+- Test state token generation and validation
+- Verify PKCE implementation
+- Test concurrent access scenarios
+
+### Integration Testing
+
+- Use provider sandboxes when available
+- Test full OAuth flow with real providers
+- Verify token refresh mechanisms
+- Test error scenarios and recovery
+
+### Logging Guidelines
+
+- Log flow initiation and completion
+- Log errors with context (no tokens)
+- Track provider-specific issues
+- Monitor for suspicious patterns
diff --git a/docs/content/platform/contributing/tests.md b/docs/content/platform/contributing/tests.md
index bc0422db6597..06c8996d615e 100644
--- a/docs/content/platform/contributing/tests.md
+++ b/docs/content/platform/contributing/tests.md
@@ -13,19 +13,19 @@ To run the tests, you can use the following commands:
 Running the tests without the UI, and headless:
 
 ```bash
-yarn test
+pnpm test
 ```
 
 If you want to run the tests in a UI where you can identify each locator used you can use the following command:
 
 ```bash
-yarn test-ui
+pnpm test-ui
 ```
 
-You can also pass `--debug` to the test command to open the browsers in view mode rather than headless. This works with both the `yarn test` and `yarn test-ui` commands.
+You can also pass `--debug` to the test command to open the browsers in view mode rather than headless. This works with both the `pnpm test` and `pnpm test-ui` commands.
 
 ```bash
-yarn test --debug
+pnpm test --debug
 ```
 
 In CI, we run the tests in headless mode, with multiple browsers, and retry a failed test up to 2 times.
@@ -45,7 +45,7 @@ No matter what you do, you should **always** double check that your locators are
 If you need to debug a test, you can use the below command to open the test in the playwright test editor. This is helpful if you want to see the test in the browser and see the state of the page as the test sees it and the locators it uses.
 
 ```bash
-yarn test --debug --test-name-pattern="test-name"
+pnpm test --debug --test-name-pattern="test-name"
 ```
 
 #### Using vscode
@@ -64,7 +64,7 @@ This will save a file called `.auth/gentest-user.json` that can be loaded for al
 ### Saving a session for gen tests to always use
 
 ```bash
-yarn gentests --save-storage .auth/gentest-user.json
+pnpm gentests --save-storage .auth/gentest-user.json
 ```
 
 Stop your session with `CTRL + C` after you are logged in and swap the `--save-storage` flag with `--load-storage` to load the session for all future tests.
@@ -72,7 +72,7 @@ Stop your session with `CTRL + C` after you are logged in and swap the `--save-s
 ### Loading a session for gen tests to always use
 
 ```bash
-yarn gentests --load-storage .auth/gentest-user.json
+pnpm gentests --load-storage .auth/gentest-user.json
 ```
 
 ## How to make a new test
@@ -160,6 +160,7 @@ You can pass information between tests using the `testInfo` object. This is usef
 });
 ```
 
+
 ## See Also
 
 - [Writing Tests](https://playwright.dev/docs/writing-tests)
diff --git a/docs/content/platform/getting-started.md b/docs/content/platform/getting-started.md
index 3613d014f5cf..f1f91d3c9201 100644
--- a/docs/content/platform/getting-started.md
+++ b/docs/content/platform/getting-started.md
@@ -1,16 +1,12 @@
 # Getting Started with AutoGPT: Self-Hosting Guide
 
-This tutorial will walk you through the process of setting up AutoGPT locally on your machine.
-
-<center><iframe width="560" height="315" src="https://www.youtube.com/embed/4Bycr6_YAMI?si=dXGhFeWrCK2UkKgj" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></center>
-
 ## Introduction
 
 This guide will help you setup the server and builder for the project.
 
 <!-- The video is listed in the root Readme.md of the repo -->
 
-We also offer this in video format. You can check it out [here](https://github.com/Significant-Gravitas/AutoGPT?tab=readme-ov-file#how-to-setup-for-self-hosting).
+<!--We also offer this in video format. You can check it out [here](https://github.com/Significant-Gravitas/AutoGPT?tab=readme-ov-file#how-to-setup-for-self-hosting). -->
 
 !!! warning
     **DO NOT FOLLOW ANY OUTSIDE TUTORIALS AS THEY WILL LIKELY BE OUT OF DATE**
@@ -23,7 +19,7 @@ To setup the server, you need to have the following installed:
 - [Docker](https://docs.docker.com/get-docker/)
 - [Git](https://git-scm.com/downloads)
 
-#### Checking if you have Node.js & NPM installed
+### Checking if you have Node.js & NPM installed
 
 We use Node.js to run our frontend application.
 
@@ -42,7 +38,7 @@ npm -v
 
 Once you have Node.js installed, you can proceed to the next step.
 
-#### Checking if you have Docker & Docker Compose installed
+### Checking if you have Docker & Docker Compose installed
 
 Docker containerizes applications, while Docker Compose orchestrates multi-container Docker applications.
 
@@ -61,6 +57,46 @@ docker compose -v
 
 Once you have Docker and Docker Compose installed, you can proceed to the next step.
 
+<details>
+ <summary>
+ Raspberry Pi 5 Specific Notes
+ </summary>
+    On Raspberry Pi 5 with Raspberry Pi OS, the default 16K page size will cause issues with the <code>supabase-vector</code> container (expected: 4K).
+    </br>
+    To fix this, edit <code>/boot/firmware/config.txt</code> and add:
+    </br>
+    ```ini
+    kernel=kernel8.img
+    ```
+    Then reboot. You can check your page size with:
+    </br>
+    ```bash
+    getconf PAGESIZE
+    ```
+    <code>16384</code> means 16K (incorrect), and <code>4096</code> means 4K (correct).
+    After adjusting, <code>docker compose up -d --build</code> should work normally.
+    </br>
+    See <a href="https://github.com/supabase/supabase/issues/33816">supabase/supabase #33816</a> for additional context.
+</details>
+
+## Quick Setup with Auto Setup Script (Recommended)  
+If you're self-hosting AutoGPT locally, we recommend using our official setup script to simplify the process. This will install dependencies (like Docker), pull the latest code, and launch the app with minimal effort.
+
+For macOS/Linux:
+```
+curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
+```
+
+For Windows (PowerShell):
+```
+powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"
+```
+
+This method is ideal if you're setting up for development or testing and want to skip manual configuration.
+
+
+## Manual Setup
+
 ### Cloning the Repository
 The first step is cloning the AutoGPT repository to your computer.
 To do this, open a terminal window in a folder on your computer and run:
@@ -69,53 +105,30 @@ git clone https://github.com/Significant-Gravitas/AutoGPT.git
 ```
 If you get stuck, follow [this guide](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository).
 
-Once that's complete you can close this terminal window.
+Once that's complete you can continue the setup process.
 
-### Running the backend services
+### Running the AutoGPT Platform
 
-To run the backend services, follow these steps:
+To run the platform, follow these steps:
 
-* Within the repository, clone the submodules and navigate to the `autogpt_platform` directory:
+* Navigate to the `autogpt_platform` directory inside the AutoGPT folder:
   ```bash
-   git submodule update --init --recursive
-   cd autogpt_platform
-  ```
-  This command will initialize and update the submodules in the repository. The `supabase` folder will be cloned to the root directory.
-
-* Copy the `.env.example` file available in the `supabase/docker` directory to `.env` in `autogpt_platform`:
+   cd AutoGPT/autogpt_platform
   ```
-   cp supabase/docker/.env.example .env
-  ```
-  This command will copy the `.env.example` file to `.env` in the `supabase/docker` directory. You can modify the `.env` file to add your own environment variables.
-
-* Run the backend services:
-  ```
-   docker compose up -d --build
-  ```
-  This command will start all the necessary backend services defined in the `docker-compose.combined.yml` file in detached mode.
-
 
-### Running the frontend application
+- Copy the `.env.default` file to `.env` in `autogpt_platform`:
 
-To run the frontend application, follow these steps:
-
-* Navigate to `frontend` folder within the `autogpt_platform` directory:
   ```
-   cd frontend
+   cp .env.default .env
   ```
 
-* Copy the `.env.example` file available in the `frontend` directory to `.env` in the same directory:
-  ```
-   cp .env.example .env
-  ```
-  You can modify the `.env` within this folder to add your own environment variables for the frontend application.
+  This command will copy the `.env.default` file to `.env` in the `autogpt_platform` directory. You can modify the `.env` file to add your own environment variables.
 
-* Run the following command:
+- Run the platform services:
   ```
-   npm install
-   npm run dev
+   docker compose up -d --build
   ```
-  This command will install the necessary dependencies and start the frontend application in development mode.
+  This command will start all the necessary backend services defined in the `docker-compose.yml` file in detached mode.
 
 ### Checking if the application is running
 
@@ -129,7 +142,7 @@ Frontend UI Server: 3000
 Backend Websocket Server: 8001
 Execution API Rest Server: 8006
 
-#### Additional Notes
+### Additional Notes
 
 You may want to change your encryption key in the `.env` file in the `autogpt_platform/backend` directory.
 
@@ -146,3 +159,145 @@ poetry run cli gen-encrypt-key
 ```
 
 Then, replace the existing key in the `autogpt_platform/backend/.env` file with the new one.
+
+### 📌 Windows Installation Note
+
+When installing Docker on Windows, it is **highly recommended** to select **WSL 2** instead of Hyper-V. Using Hyper-V can cause compatibility issues with Supabase, leading to the `supabase-db` container being marked as **unhealthy**.
+
+#### **Steps to enable WSL 2 for Docker:**
+1. Install [WSL 2](https://learn.microsoft.com/en-us/windows/wsl/install).
+2. Ensure that your Docker settings use WSL 2 as the default backend:
+  - Open **Docker Desktop**.
+  - Navigate to **Settings > General**.
+  - Check **Use the WSL 2 based engine**.
+3. Restart **Docker Desktop**.
+
+#### **Already Installed Docker with Hyper-V?**
+If you initially installed Docker with Hyper-V, you **don’t need to reinstall** it. You can switch to WSL 2 by following these steps:
+1. Open **Docker Desktop**.
+2. Go to **Settings > General**.
+3. Enable **Use the WSL 2 based engine**.
+4. Restart Docker.
+
+🚨 **Warning:** Enabling WSL 2 may **erase your existing containers and build history**. If you have important containers, consider backing them up before switching.
+
+For more details, refer to [Docker's official documentation](https://docs.docker.com/desktop/windows/wsl/).
+
+
+## Development
+
+### Frontend Development
+
+#### Running the frontend locally
+
+To run the frontend locally, you need to have Node.js and PNPM installed on your machine.
+
+Install [Node.js](https://nodejs.org/en/download/) to manage dependencies and run the frontend application.
+
+Install [PNPM](https://pnpm.io/installation) to manage the frontend dependencies.
+
+Run the service dependencies (backend, database, message queues, etc.):
+```sh
+docker compose --profile local up deps_backend --build --detach
+```
+
+Go to the `autogpt_platform/frontend` directory:
+```sh
+cd frontend
+```
+
+Install the dependencies:
+```sh
+pnpm install
+```
+
+Generate the API client:
+```sh
+pnpm generate:api-client
+```
+
+Run the frontend application:
+```sh
+pnpm dev
+```
+
+#### Formatting & Linting
+
+Auto formatter and linter are set up in the project. To run them:
+Format the code:
+```sh
+pnpm format
+```
+
+Lint the code:
+```sh
+pnpm lint
+```
+
+#### Testing
+
+To run the tests, you can use the following command:
+```sh
+pnpm test
+```
+
+### Backend Development
+
+#### Running the backend locally
+
+To run the backend locally, you need to have Python 3.10 or higher installed on your machine.
+
+Install [Poetry](https://python-poetry.org/docs/#installation) to manage dependencies and virtual environments.
+
+Run the backend dependencies (database, message queues, etc.):
+```sh
+docker compose --profile local up deps --build --detach
+```
+
+Go to the `autogpt_platform/backend` directory:
+```sh
+cd backend
+```
+
+Install the dependencies:
+```sh
+poetry install --with dev
+```
+
+Run the backend server:
+```sh
+poetry run app
+```
+
+#### Formatting & Linting
+Auto formatter and linter are set up in the project. To run them:
+
+Format the code:
+```sh
+poetry run format
+```
+
+Lint the code:
+```sh
+poetry run lint
+```
+
+#### Testing
+
+To run the tests:
+
+```sh
+poetry run pytest -s 
+```
+
+## Adding a New Agent Block
+
+To add a new agent block, you need to create a new class that inherits from `Block` and provides the following information:
+* All the block code should live in the `blocks` (`backend.blocks`) module.
+* `input_schema`: the schema of the input data, represented by a Pydantic object.
+* `output_schema`: the schema of the output data, represented by a Pydantic object.
+* `run` method: the main logic of the block.
+* `test_input` & `test_output`: the sample input and output data for the block, which will be used to auto-test the block.
+* You can mock the functions declared in the block using the `test_mock` field for your unit tests.
+* Once you finish creating the block, you can test it by running `poetry run pytest backend/blocks/test/test_block.py -s`.
+* Create a Pull Request to the `dev` branch of the repository with your changes so you can share it with the community :)
diff --git a/docs/content/platform/installer.md b/docs/content/platform/installer.md
new file mode 100644
index 000000000000..a1bce35e8351
--- /dev/null
+++ b/docs/content/platform/installer.md
@@ -0,0 +1,70 @@
+# AutoGPT Platform Installer
+
+The AutoGPT Platform provides easy-to-use installers to help you quickly set up the platform on your system. This page covers how to use the installer scripts for both Linux/macOS and Windows.
+
+## What the Installer Does
+
+The installer scripts will:
+
+1. Check for required prerequisites (Git, Docker, npm)
+2. Clone the AutoGPT repository
+3. Set up the backend services using Docker
+4. Set up the frontend application
+5. Start both the backend and frontend services
+
+## Prerequisites
+
+Before running the installer, make sure you have the following installed:
+
+- **Git**: For cloning the repository
+- **Docker**: For running the backend services
+- **Node.js and npm**: For the frontend application
+
+## Quick One-Liner Installation
+
+For convenience, you can use the following one-liner commands to install AutoGPT Platform:
+
+### Linux/macOS
+
+```bash
+curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
+```
+
+### Windows
+
+```powershell
+powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"
+```
+
+## Manual Installation
+
+If you prefer, you can manually download and run the installer scripts:
+
+- **Linux/macOS:** `setup-autogpt.sh`
+- **Windows:** `setup-autogpt.bat`
+
+These scripts are located in the `autogpt_platform/installer/` directory.
+
+## After Installation
+
+Once the installation is complete:
+- The backend services will be running in Docker containers
+- The frontend application will be available at http://localhost:3000
+
+## Stopping the Services
+
+To stop the services, press Ctrl+C in the terminal where the frontend is running, then run:
+
+```bash
+cd AutoGPT/autogpt_platform
+docker compose down
+```
+
+## Troubleshooting
+
+If you encounter any issues during installation:
+
+1. Make sure all prerequisites are correctly installed
+2. Check that Docker is running
+3. Ensure you have a stable internet connection
+4. Verify you have sufficient permissions to create directories and run Docker 
\ No newline at end of file
diff --git a/docs/content/platform/new_blocks.md b/docs/content/platform/new_blocks.md
index d4591d794284..29d4d0f4136f 100644
--- a/docs/content/platform/new_blocks.md
+++ b/docs/content/platform/new_blocks.md
@@ -102,6 +102,52 @@ Follow these steps to create and test a new block:
    - **API request**: Send a GET request to the Wikipedia API.
    - **Error handling**: Handle various exceptions that might occur during the API request and data processing. We don't need to catch all exceptions, only the ones we expect and can handle. The uncaught exceptions will be automatically yielded as `error` in the output. Any block that raises an exception (or yields an `error` output) will be marked as failed. Prefer raising exceptions over yielding `error`, as it will stop the execution immediately.
    - **Yield**: Use `yield` to output the results. Prefer to output one result object at a time. If you are calling a function that returns a list, you can yield each item in the list separately. You can also yield the whole list as well, but do both rather than yielding the list. For example: If you were writing a block that outputs emails, you'd yield each email as a separate result object, but you could also yield the whole list as an additional single result object. Yielding output named `error` will break the execution right away and mark the block execution as failed.
+   - **kwargs**: The `kwargs` parameter is used to pass additional arguments to the block. It is not used in the example above, but it is available to the block. You can also have args as inline signatures in the run method ala `def run(self, input_data: Input, *, user_id: str, **kwargs) -> BlockOutput:`.
+       Available kwargs are:
+       - `user_id`: The ID of the user running the block.
+       - `graph_id`: The ID of the agent that is executing the block. This is the same for every version of the agent
+       - `graph_exec_id`: The ID of the execution of the agent. This changes every time the agent has a new "run"
+       - `node_exec_id`: The ID of the execution of the node. This changes every time the node is executed
+       - `node_id`: The ID of the node that is being executed. It changes every version of the graph, but not every time the node is executed.
+
+### Field Types
+
+#### oneOf fields
+`oneOf` allows you to specify that a field must be exactly one of several possible options. This is useful when you want your block to accept different types of inputs that are mutually exclusive.
+
+Example:
+```python
+attachment: Union[Media, DeepLink, Poll, Place, Quote] = SchemaField(
+    discriminator='discriminator',
+    description="Attach either media, deep link, poll, place or quote - only one can be used"
+)
+```
+
+The `discriminator` parameter tells AutoGPT which field to look at in the input to determine which type it is.
+
+In each model, you need to define the discriminator value:
+```python
+class Media(BaseModel):
+    discriminator: Literal['media']
+    media_ids: List[str]
+
+class DeepLink(BaseModel):
+    discriminator: Literal['deep_link']
+    direct_message_deep_link: str
+```
+
+#### OptionalOneOf fields
+`OptionalOneOf` is similar to `oneOf` but allows the field to be optional (None). This means the field can be either one of the specified types or None.
+
+Example:
+```python
+attachment: Union[Media, DeepLink, Poll, Place, Quote] | None = SchemaField(
+    discriminator='discriminator',
+    description="Optional attachment - can be media, deep link, poll, place, quote or None"
+)
+```
+
+The key difference is the `| None` which makes the entire field optional.
 
 ### Blocks with authentication
 
@@ -218,13 +264,13 @@ response = requests.post(
 )
 ```
 
-or use the shortcut `credentials.bearer()`:
+or use the shortcut `credentials.auth_header()`:
 
 ```python
 # credentials: APIKeyCredentials | OAuth2Credentials
 response = requests.post(
     url,
-    headers={"Authorization": credentials.bearer()},
+    headers={"Authorization": credentials.auth_header()},
 )
 ```
 
@@ -238,6 +284,16 @@ Naturally, to add an authenticated block for a new provider, you'll have to add
 ```
 </details>
 
+#### Multiple credentials inputs
+Multiple credentials inputs are supported, under the following conditions:
+- The name of each of the credentials input fields must end with `_credentials`.
+- The names of the credentials input fields must match the names of the corresponding
+  parameters on the `run(..)` method of the block.
+- If more than one of the credentials parameters are required, `test_credentials`
+  is a `dict[str, Credentials]`, with for each required credentials input the
+  parameter name as the key and suitable test credentials as the value.
+
+
 #### Adding an OAuth2 service integration
 
 To add support for a new OAuth2-authenticated service, you'll need to add an `OAuthHandler`.
@@ -281,10 +337,10 @@ You will need to add the provider (api or oauth) to the `CredentialsInput` compo
 --8<-- "autogpt_platform/frontend/src/components/integrations/credentials-input.tsx:ProviderIconsEmbed"
 ```
 
-You will also need to add the provider to the `CredentialsProvider` component in [`frontend/src/components/integrations/credentials-provider.tsx`](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/frontend/src/components/integrations/credentials-provider.tsx).
+You will also need to add the provider to the credentials provider list in [`frontend/src/components/integrations/helper.ts`](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/frontend/src/components/integrations/helper.ts).
 
-```ts title="frontend/src/components/integrations/credentials-provider.tsx"
---8<-- "autogpt_platform/frontend/src/components/integrations/credentials-provider.tsx:CredentialsProviderNames"
+```ts title="frontend/src/components/integrations/helper.ts"
+--8<-- "autogpt_platform/frontend/src/components/integrations/helper.ts:CredentialsProviderNames"
 ```
 
 Finally you will need to add the provider to the `CredentialsType` enum in [`frontend/src/lib/autogpt-server-api/types.ts`](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/frontend/src/lib/autogpt-server-api/types.ts).
@@ -425,10 +481,10 @@ To add support for a new webhook provider, you'll need to create a WebhooksManag
 --8<-- "autogpt_platform/backend/backend/integrations/webhooks/_base.py:BaseWebhooksManager5"
 ```
 
-And add a reference to your `WebhooksManager` class in `WEBHOOK_MANAGERS_BY_NAME`:
+And add a reference to your `WebhooksManager` class in `load_webhook_managers`:
 
 ```python title="backend/integrations/webhooks/__init__.py"
---8<-- "autogpt_platform/backend/backend/integrations/webhooks/__init__.py:WEBHOOK_MANAGERS_BY_NAME"
+--8<-- "autogpt_platform/backend/backend/integrations/webhooks/__init__.py:load_webhook_managers"
 ```
 
 #### Example: GitHub Webhook Integration
@@ -465,7 +521,7 @@ GitHub Webhooks Manager: <a href="https://github.com/Significant-Gravitas/AutoGP
 
 The testing of blocks is handled by `test_block.py`, which does the following:
 
-1. It calls the block with the provided `test_input`.  
+1. It calls the block with the provided `test_input`.
    If the block has a `credentials` field, `test_credentials` is passed in as well.
 2. If a `test_mock` is provided, it temporarily replaces the specified methods with the mock functions.
 3. It then asserts that the output matches the `test_output`.
diff --git a/docs/content/platform/ollama.md b/docs/content/platform/ollama.md
index da8948098cc1..392bfabfe816 100644
--- a/docs/content/platform/ollama.md
+++ b/docs/content/platform/ollama.md
@@ -1,37 +1,266 @@
 # Running Ollama with AutoGPT
 
-Follow these steps to set up and run Ollama and your AutoGPT project:
-
-1. **Run Ollama**
-   - Open a terminal
-   - Execute the following command:
-     ```
-     ollama run llama3
-     ```
-   - Leave this terminal running
-
-2. **Run the Backend**
-   - Open a new terminal
-   - Navigate to the backend directory in the AutoGPT project:
-     ```
-     cd autogpt_platform/backend/
-     ```
-   - Start the backend using Poetry:
-     ```
-     poetry run app
-     ```
-
-3. **Run the Frontend**
-   - Open another terminal
-   - Navigate to the frontend directory in the AutoGPT project:
-     ```
-     cd autogpt_platform/frontend/
-     ```
-   - Start the frontend development server:
-     ```
-     npm run dev
-     ```
-
-4. **Choose the Ollama Model**
-   - Add LLMBlock in the UI
-   -  Choose the last option in the model selection dropdown
+> **Important**: Ollama integration is only available when self-hosting the AutoGPT platform. It cannot be used with the cloud-hosted version.
+
+Follow these steps to set up and run Ollama with the AutoGPT platform.
+
+## Prerequisites
+
+1. Make sure you have gone through and completed the [AutoGPT Setup](/platform/getting-started) steps, if not please do so before continuing with this guide.
+2. Before starting, ensure you have [Ollama installed](https://ollama.com/download) on your machine.
+
+## Setup Steps
+
+### 1. Launch Ollama
+
+To properly set up Ollama for network access, choose one of these methods:
+
+**Method A: Using Ollama Desktop App (Recommended)**
+
+1. Open the Ollama desktop application
+2. Go to **Settings** and toggle **"Expose Ollama to the network"**
+   ![Expose Ollama to Network](../imgs/ollama/Ollama-Expose-Network.png)
+3. Click on the model name field in the "New Chat" window
+4. Search for "llama3.2" (or your preferred model)
+   ![Select llama3.2 model](../imgs/ollama/Ollama-Select-llama3.2.png)
+5. Click on it to start the download and load the model to be used
+
+??? note "Method B: Using Docker (Alternative)"
+
+    If you prefer to run Ollama via Docker instead of the desktop app, you can use the official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama):
+
+    1. **Start Ollama container** (choose based on your hardware):
+
+       **CPU only:**
+       ```bash
+       docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+       ```
+
+       **With NVIDIA GPU** (requires [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)):
+       ```bash
+       docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+       ```
+
+       **With AMD GPU:**
+       ```bash
+       docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:rocm
+       ```
+
+       **Download your desired model:**
+       ```bash
+       docker exec -it ollama ollama run llama3.2
+       ```
+
+    !!! note
+        The Docker method automatically exposes Ollama on `0.0.0.0:11434`, making it accessible to AutoGPT. More models can be found on the [Ollama library](https://ollama.com/library).
+
+??? warning "Method C: Using Ollama Via Command Line (Legacy)"
+
+    For users still using the traditional CLI approach or older Ollama installations:
+
+    1. **Set the host environment variable:**
+
+       **Windows (Command Prompt):**
+       ```cmd
+       set OLLAMA_HOST=0.0.0.0:11434
+       ```
+       
+       **Linux/macOS (Terminal):**
+       ```bash
+       export OLLAMA_HOST=0.0.0.0:11434
+       ```
+
+    2. **Start the Ollama server:**
+       ```bash
+       ollama serve
+       ```
+
+    3. **Open a new terminal/command window** and download your desired model:
+       ```bash
+       ollama pull llama3.2
+       ```
+
+    !!! note
+        This will download the [llama3.2](https://ollama.com/library/llama3.2) model. Keep the terminal with `ollama serve` running in the background throughout your session.
+
+### 2. Start the AutoGPT Platform
+
+Navigate to the autogpt_platform directory and start all services:
+
+```bash
+cd autogpt_platform
+docker compose up -d --build
+```
+
+This command starts both the backend and frontend services. Once running, visit [http://localhost:3000](http://localhost:3000) to access the platform. After registering/logging in, navigate to the build page at [http://localhost:3000/build](http://localhost:3000/build).
+
+### 3. Using Ollama with AutoGPT
+
+Now that both Ollama and the AutoGPT platform are running, we can use Ollama with AutoGPT:
+
+1. Add an AI Text Generator block to your workspace (it can work with any AI LLM block but for this example will be using the AI Text Generator block):
+   ![Add AI Text Generator Block](../imgs/ollama/Select-AI-block.png)
+
+2. **Configure the API Key field**: Enter any value (e.g., "dummy" or "not-needed") since Ollama doesn't require authentication.
+
+3. In the "LLM Model" dropdown, select "llama3.2" (This is the model we downloaded earlier)
+   ![Select Ollama Model](../imgs/ollama/Ollama-Select-Llama32.png)
+
+   > **Compatible Models**: The following Ollama models are available in AutoGPT by default:
+   > - `llama3.2` (Recommended for most use cases)
+   > - `llama3` 
+   > - `llama3.1:405b`
+   > - `dolphin-mistral:latest`
+   > 
+   > **Note**: To use other models, follow the "Add Custom Models" step above.
+
+4. **Set your local IP address** in the "Ollama Host" field:
+
+   **To find your local IP address:**
+
+   **Windows (Command Prompt):**
+   ```cmd
+   ipconfig
+   ```
+
+   **Linux/macOS (Terminal):**
+   ```bash
+   ip addr show
+   ```
+   or
+   ```bash
+   ifconfig
+   ```
+
+   Look for your IPv4 address (e.g., `192.168.0.39`), then enter it with port `11434` in the "Ollama Host" field:
+   ```
+   192.168.0.39:11434
+   ```
+
+   ![Ollama Remote Host](../imgs/ollama/Ollama-Remote-Host.png)
+
+   > **Important**: Since AutoGPT runs in Docker containers, you must use your host machine's IP address instead of `localhost` or `127.0.0.1`. Docker containers cannot reach `localhost` on the host machine.
+
+5. Add prompts to your AI block, save the graph, and run it:
+   ![Add Prompt](../imgs/ollama/Ollama-Add-Prompts.png)
+
+That's it! You've successfully setup the AutoGPT platform and made a LLM call to Ollama.
+![Ollama Output](../imgs/ollama/Ollama-Output.png)
+
+### Using Ollama on a Remote Server with AutoGPT
+
+For running Ollama on a remote server, simply make sure the Ollama server is running and is accessible from other devices on your network/remotely through the port 11434. 
+
+**To find your local IP address of the system running Ollama:**
+
+**Windows (Command Prompt):**
+```cmd
+ipconfig
+```
+
+**Linux/macOS (Terminal):**
+```bash
+ip addr show
+```
+or
+```bash
+ifconfig
+```
+
+Look for your IPv4 address (e.g., `192.168.0.39`).
+
+Then you can use the same steps above but you need to add the Ollama server's IP address to the "Ollama Host" field in the block settings like so:
+```
+192.168.0.39:11434
+```
+
+![Ollama Remote Host](../imgs/ollama/Ollama-Remote-Host.png)
+
+## Add Custom Models (Advanced)
+
+If you want to use models other than the default ones, you'll need to add them to the model list. Follow these steps:
+
+1. **Add the model to the LlmModel enum** in `autogpt_platform/backend/backend/blocks/llm.py`:
+   
+   Find the Ollama models section (around line 119) and add your model like the other Ollama models:
+   ```python
+   # Ollama models
+   OLLAMA_LLAMA3_3 = "llama3.3"
+   OLLAMA_LLAMA3_2 = "llama3.2"
+   OLLAMA_YOUR_MODEL = "The-model-name-from-ollama"  # Add your model here
+   ```
+
+2. **Add model metadata** in the same file:
+   
+   Find the `MODEL_METADATA` dictionary (around line 181) and add your model with its metadata:
+   ```python
+   # In MODEL_METADATA dictionary, add:
+   LlmModel.OLLAMA_YOUR_MODEL: ModelMetadata("ollama", 8192, None),
+   ```
+   
+   Where:
+
+   - `"ollama"` = provider name
+   - `8192` = max context window (adjust based on your model)
+   - `None` = max output tokens (None means no specific limit)
+
+3. **Add model cost configuration** in `autogpt_platform/backend/backend/data/block_cost_config.py`:
+   
+   Find the `MODEL_COST` dictionary (around line 54) and add your model:
+   ```python
+   # In MODEL_COST dictionary, add:
+   LlmModel.OLLAMA_YOUR_MODEL: 1,
+   ```
+   
+   > **Note**: Setting cost to `1` is fine for local usage as cost tracking is disabled for self-hosted instances.
+
+4. **Rebuild the backend**:
+   ```bash
+   docker compose up -d --build
+   ```
+
+5. **Pull the model in Ollama**:
+   ```bash
+   ollama pull your-model-name
+   ```
+
+## Troubleshooting
+
+If you encounter any issues, verify that:
+
+- Ollama is properly installed and running with `ollama serve`
+- Docker is running before starting the platform
+- If running Ollama outside Docker, ensure it's set to `0.0.0.0:11434` for network access
+
+### Common Issues
+
+#### Connection Refused / Cannot Connect to Ollama
+- **Most common cause**: Using `localhost` or `127.0.0.1` in the Ollama Host field
+- **Solution**: Use your host machine's IP address (e.g., `192.168.0.39:11434`)
+- **Why**: AutoGPT runs in Docker containers and cannot reach `localhost` on the host
+- **Find your IP**: Use `ipconfig` (Windows) or `ifconfig` (Linux/macOS)
+- **Test Ollama is running**: `curl http://localhost:11434/api/tags` should work from your host machine
+
+#### Model Not Found
+- Pull the model manually:
+  ```bash
+  ollama pull llama3.2
+  ```
+- If using a custom model, ensure it's added to the model list in `backend/server/model.py`
+
+#### Docker Issues
+- Ensure Docker daemon is running:
+  ```bash
+  docker ps
+  ```
+- Try rebuilding:
+  ```bash
+  docker compose up -d --build
+  ```
+
+#### API Key Errors
+- Remember that Ollama doesn't require authentication - any value works for the API key field
+
+#### Model Selection Issues
+- Look for models with "ollama" in their description in the dropdown
+- Only the models listed in the "Compatible Models" section are guaranteed to work
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index 0f4658322ba6..126dfbc15421 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -19,10 +19,12 @@ nav:
     - Agent Blocks: platform/agent-blocks.md
     - Build your own Blocks: platform/new_blocks.md
     - Using Ollama: platform/ollama.md
+    - Using AI/ML API: platform/aimlapi.md
     - Using D-ID: platform/d_id.md
     - Blocks: platform/blocks/blocks.md
     - Contributing:
         - Tests: platform/contributing/tests.md
+        - OAuth Flows: platform/contributing/oauth-integration-flow.md
   - AutoGPT Classic:
       - Introduction: classic/index.md
       - Setup:
@@ -54,7 +56,9 @@ nav:
       - Frontend:
          - Readme: https://github.com/Significant-Gravitas/AutoGPT/blob/master/classic/frontend/README.md
 
-  - Contribute: contribute/index.md
+  - Contribute: 
+        - Introduction: contribute/index.md
+        - Testing: ../../autogpt_platform/backend/TESTING.md
     
   # - Challenges:
   #     - Introduction: challenges/introduction.md
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 607580136022..ea0eab8c2ab2 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -5,3 +5,4 @@ pymdown-extensions
 mkdocs-git-revision-date-localized-plugin
 zipp>=3.19.1 # not directly required, pinned by Snyk to avoid a vulnerability
 urllib3>=2.2.2 # not directly required, pinned by Snyk to avoid a vulnerability
+requests>=2.32.4 # not directly required, pinned by Snyk to avoid a vulnerability